From e70bedba7d16b4c928220286ec09d38f058d742c Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Fri, 28 Jul 2023 21:03:27 -0700
Subject: [PATCH 001/287] refactor(ModelManager): factor out
 _get_implementation method

---
 .../backend/model_management/model_manager.py | 20 +++++++++++--------
 1 file changed, 12 insertions(+), 8 deletions(-)

diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index 2a82061a97..fbabd2fece 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -258,7 +258,7 @@ from .models import (
     ModelConfigBase,
     ModelNotFoundException,
     InvalidModelException,
-    DuplicateModelException,
+    DuplicateModelException, ModelBase,
 )
 
 # We are only starting to number the config file with release 3.
@@ -361,7 +361,7 @@ class ModelManager(object):
             if model_key.startswith("_"):
                 continue
             model_name, base_model, model_type = self.parse_key(model_key)
-            model_class = MODEL_CLASSES[base_model][model_type]
+            model_class = self._get_implementation(base_model, model_type)
             # alias for config file
             model_config["model_format"] = model_config.pop("format")
             self.models[model_key] = model_class.create_config(**model_config)
@@ -446,7 +446,7 @@ class ModelManager(object):
         :param submode_typel: an ModelType enum indicating the portion of
                the model to retrieve (e.g. ModelType.Vae)
         """
-        model_class = MODEL_CLASSES[base_model][model_type]
+        model_class = self._get_implementation(base_model, model_type)
         model_key = self.create_key(model_name, base_model, model_type)
 
         # if model not found try to find it (maybe file just pasted)
@@ -475,7 +475,7 @@ class ModelManager(object):
                 model_path = self.app_config.root_path / override_path
                 model_type = submodel_type
                 submodel_type = None
-                model_class = MODEL_CLASSES[base_model][model_type]
+                model_class = self._get_implementation(base_model, model_type)
 
         # TODO: path
         # TODO: is it accurate to use path as id
@@ -513,6 +513,10 @@ class ModelManager(object):
             _cache=self.cache,
         )
 
+    def _get_implementation(self, base_model: BaseModelType, model_type: ModelType) -> type[ModelBase]:
+        model_class = MODEL_CLASSES[base_model][model_type]
+        return model_class
+
     def model_info(
         self,
         model_name: str,
@@ -659,7 +663,7 @@ class ModelManager(object):
             if Path(path).is_relative_to(self.app_config.root_path):
                 model_attributes["path"] = str(Path(path).relative_to(self.app_config.root_path))
 
-        model_class = MODEL_CLASSES[base_model][model_type]
+        model_class = self._get_implementation(base_model, model_type)
         model_config = model_class.create_config(**model_attributes)
         model_key = self.create_key(model_name, base_model, model_type)
 
@@ -837,7 +841,7 @@ class ModelManager(object):
 
         for model_key, model_config in self.models.items():
             model_name, base_model, model_type = self.parse_key(model_key)
-            model_class = MODEL_CLASSES[base_model][model_type]
+            model_class = self._get_implementation(base_model, model_type)
             if model_class.save_to_config:
                 # TODO: or exclude_unset better fits here?
                 data_to_save[model_key] = model_config.dict(exclude_defaults=True, exclude={"error"})
@@ -888,7 +892,7 @@ class ModelManager(object):
                 model_name, cur_base_model, cur_model_type = self.parse_key(model_key)
                 model_path = self.app_config.root_path.absolute() / model_config.path
                 if not model_path.exists():
-                    model_class = MODEL_CLASSES[cur_base_model][cur_model_type]
+                    model_class = self._get_implementation(cur_base_model, cur_model_type)
                     if model_class.save_to_config:
                         model_config.error = ModelError.NotFound
                         self.models.pop(model_key, None)
@@ -904,7 +908,7 @@ class ModelManager(object):
                 for cur_model_type in ModelType:
                     if model_type is not None and cur_model_type != model_type:
                         continue
-                    model_class = MODEL_CLASSES[cur_base_model][cur_model_type]
+                    model_class = self._get_implementation(cur_base_model, cur_model_type)
                     models_dir = self.app_config.models_path / cur_base_model.value / cur_model_type.value
 
                     if not models_dir.exists():

From dca685ac252055dff6dd38cfe6575994cc7385a0 Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Fri, 28 Jul 2023 21:11:00 -0700
Subject: [PATCH 002/287] refactor(ModelManager): refactor rescan-on-miss to
 exists() method

---
 .../backend/model_management/model_manager.py   | 17 +++++++++++------
 1 file changed, 11 insertions(+), 6 deletions(-)

diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index fbabd2fece..5da4344b89 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -386,13 +386,21 @@ class ModelManager(object):
         model_name: str,
         base_model: BaseModelType,
         model_type: ModelType,
+        rescan = False
     ) -> bool:
         """
         Given a model name, returns True if it is a valid
         identifier.
         """
         model_key = self.create_key(model_name, base_model, model_type)
-        return model_key in self.models
+        exists = model_key in self.models
+
+        # if model not found try to find it (maybe file just pasted)
+        if rescan and not exists:
+            self.scan_models_directory(base_model=base_model, model_type=model_type)
+            exists = model_key in self.models
+
+        return exists
 
     @classmethod
     def create_key(
@@ -449,11 +457,8 @@ class ModelManager(object):
         model_class = self._get_implementation(base_model, model_type)
         model_key = self.create_key(model_name, base_model, model_type)
 
-        # if model not found try to find it (maybe file just pasted)
-        if model_key not in self.models:
-            self.scan_models_directory(base_model=base_model, model_type=model_type)
-            if model_key not in self.models:
-                raise ModelNotFoundException(f"Model not found - {model_key}")
+        if not self.model_exists(model_name, base_model, model_type, rescan=True):
+            raise ModelNotFoundException(f"Model not found - {model_key}")
 
         model_config = self.models[model_key]
         model_path = self.app_config.root_path / model_config.path

From b163ae6a4dcb9b5024888c33620db8ddcd01b037 Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Fri, 28 Jul 2023 21:30:20 -0700
Subject: [PATCH 003/287] refactor(ModelManager): factor out get_model_config

---
 invokeai/backend/model_management/model_manager.py | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index 5da4344b89..51053f92cc 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -460,7 +460,7 @@ class ModelManager(object):
         if not self.model_exists(model_name, base_model, model_type, rescan=True):
             raise ModelNotFoundException(f"Model not found - {model_key}")
 
-        model_config = self.models[model_key]
+        model_config = self._get_model_config(base_model, model_name, model_type)
         model_path = self.app_config.root_path / model_config.path
 
         if not model_path.exists():
@@ -518,6 +518,14 @@ class ModelManager(object):
             _cache=self.cache,
         )
 
+    def _get_model_config(self, base_model, model_name, model_type) -> ModelConfigBase:
+        model_key = self.create_key(model_name, base_model, model_type)
+        try:
+            model_config = self.models[model_key]
+        except KeyError:
+            raise ModelNotFoundException(f"Model not found - {model_key}")
+        return model_config
+
     def _get_implementation(self, base_model: BaseModelType, model_type: ModelType) -> type[ModelBase]:
         model_class = MODEL_CLASSES[base_model][model_type]
         return model_class

From bc9a5038fdbb0c1f9bc88c5fa5ea86cdf994024b Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Fri, 28 Jul 2023 22:01:28 -0700
Subject: [PATCH 004/287] refactor(ModelManager): factor out get_model_path

---
 .../backend/model_management/model_manager.py | 38 ++++++++++++-------
 1 file changed, 24 insertions(+), 14 deletions(-)

diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index 51053f92cc..6c79b07959 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -451,37 +451,33 @@ class ModelManager(object):
         :param model_name: symbolic name of the model in models.yaml
         :param model_type: ModelType enum indicating the type of model to return
         :param base_model: BaseModelType enum indicating the base model used by this model
-        :param submode_typel: an ModelType enum indicating the portion of
+        :param submodel_type: an ModelType enum indicating the portion of
                the model to retrieve (e.g. ModelType.Vae)
         """
-        model_class = self._get_implementation(base_model, model_type)
         model_key = self.create_key(model_name, base_model, model_type)
 
         if not self.model_exists(model_name, base_model, model_type, rescan=True):
             raise ModelNotFoundException(f"Model not found - {model_key}")
 
         model_config = self._get_model_config(base_model, model_name, model_type)
-        model_path = self.app_config.root_path / model_config.path
+
+        model_path, is_submodel_override = self._get_model_path(model_config, submodel_type)
+
+        if is_submodel_override:
+            model_type = submodel_type
+            submodel_type = None
+
+        model_class = self._get_implementation(base_model, model_type)
 
         if not model_path.exists():
             if model_class.save_to_config:
                 self.models[model_key].error = ModelError.NotFound
-                raise Exception(f'Files for model "{model_key}" not found')
+                raise Exception(f'Files for model "{model_key}" not found at {model_path}')
 
             else:
                 self.models.pop(model_key, None)
                 raise ModelNotFoundException(f"Model not found - {model_key}")
 
-        # vae/movq override
-        # TODO:
-        if submodel_type is not None and hasattr(model_config, submodel_type):
-            override_path = getattr(model_config, submodel_type)
-            if override_path:
-                model_path = self.app_config.root_path / override_path
-                model_type = submodel_type
-                submodel_type = None
-                model_class = self._get_implementation(base_model, model_type)
-
         # TODO: path
         # TODO: is it accurate to use path as id
         dst_convert_path = self._get_model_cache_path(model_path)
@@ -518,6 +514,20 @@ class ModelManager(object):
             _cache=self.cache,
         )
 
+    def _get_model_path(self, model_config: ModelConfigBase, submodel_type: SubModelType = None) -> (Path, bool):
+        model_path = model_config.path
+        is_submodel_override = False
+
+        # Does the config explicitly override the submodel?
+        if submodel_type is not None and hasattr(model_config, submodel_type):
+            submodel_path = getattr(model_config, submodel_type)
+            if submodel_path is not None:
+                model_path = getattr(model_config, submodel_type)
+                is_submodel_override = True
+
+        model_path = self.app_config.root_path / model_path
+        return model_path, is_submodel_override
+
     def _get_model_config(self, base_model, model_name, model_type) -> ModelConfigBase:
         model_key = self.create_key(model_name, base_model, model_type)
         try:

From 86b8b69e889cf0e972b75dc50ff119e86c315649 Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Fri, 28 Jul 2023 22:30:25 -0700
Subject: [PATCH 005/287] internal(ModelManager): add instantiate method

---
 invokeai/backend/model_management/model_manager.py | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index 6c79b07959..954b86283f 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -540,6 +540,15 @@ class ModelManager(object):
         model_class = MODEL_CLASSES[base_model][model_type]
         return model_class
 
+    def _instantiate(self, model_name: str, base_model: BaseModelType, model_type: ModelType,
+                     submodel_type: SubModelType = None) -> ModelBase:
+        model_config = self._get_model_config(base_model, model_name, model_type)
+        model_path, is_submodel_override = self._get_model_path(model_config, submodel_type)
+        # FIXME: do non-overriden submodels get the right class?
+        constructor = self._get_implementation(base_model, model_type)
+        instance = constructor(model_path, base_model, model_type)
+        return instance
+
     def model_info(
         self,
         model_name: str,

From 35dd58e273c64059ce0d708db36e85c8670ac520 Mon Sep 17 00:00:00 2001
From: Saurav Maheshkar <sauravvmaheshkar@gmail.com>
Date: Sat, 29 Jul 2023 12:59:56 +0530
Subject: [PATCH 006/287] chore: move PR template to `.github/` dir

---
 pull_request_template.md => .github/pull_request_template.md | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename pull_request_template.md => .github/pull_request_template.md (100%)

diff --git a/pull_request_template.md b/.github/pull_request_template.md
similarity index 100%
rename from pull_request_template.md
rename to .github/pull_request_template.md

From ccceb32a859c6a3fa46a4181e0c31555175de4b9 Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Sat, 29 Jul 2023 11:50:04 -0700
Subject: [PATCH 007/287] lint: formatting

---
 invokeai/backend/model_management/model_manager.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index 954b86283f..c8a1405428 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -228,19 +228,19 @@ the root is the InvokeAI ROOTDIR.
 """
 from __future__ import annotations
 
-import os
 import hashlib
+import os
 import textwrap
-import yaml
+import types
 from dataclasses import dataclass
 from pathlib import Path
-from typing import Optional, List, Tuple, Union, Dict, Set, Callable, types
 from shutil import rmtree, move
+from typing import Optional, List, Tuple, Union, Dict, Set, Callable
 
 import torch
+import yaml
 from omegaconf import OmegaConf
 from omegaconf.dictconfig import DictConfig
-
 from pydantic import BaseModel, Field
 
 import invokeai.backend.util.logging as logger

From ff1c40747e96e01429650c69e3756e2e58a714d8 Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Sat, 29 Jul 2023 20:02:31 -0700
Subject: [PATCH 008/287] lint: formatting

---
 .../backend/model_management/model_manager.py    | 16 ++++++----------
 1 file changed, 6 insertions(+), 10 deletions(-)

diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index c8a1405428..8bade9cb04 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -258,7 +258,8 @@ from .models import (
     ModelConfigBase,
     ModelNotFoundException,
     InvalidModelException,
-    DuplicateModelException, ModelBase,
+    DuplicateModelException,
+    ModelBase,
 )
 
 # We are only starting to number the config file with release 3.
@@ -381,13 +382,7 @@ class ModelManager(object):
         # causing otherwise unreferenced models to be removed from memory
         self._read_models()
 
-    def model_exists(
-        self,
-        model_name: str,
-        base_model: BaseModelType,
-        model_type: ModelType,
-        rescan = False
-    ) -> bool:
+    def model_exists(self, model_name: str, base_model: BaseModelType, model_type: ModelType, rescan=False) -> bool:
         """
         Given a model name, returns True if it is a valid
         identifier.
@@ -540,8 +535,9 @@ class ModelManager(object):
         model_class = MODEL_CLASSES[base_model][model_type]
         return model_class
 
-    def _instantiate(self, model_name: str, base_model: BaseModelType, model_type: ModelType,
-                     submodel_type: SubModelType = None) -> ModelBase:
+    def _instantiate(
+        self, model_name: str, base_model: BaseModelType, model_type: ModelType, submodel_type: SubModelType = None
+    ) -> ModelBase:
         model_config = self._get_model_config(base_model, model_name, model_type)
         model_path, is_submodel_override = self._get_model_path(model_config, submodel_type)
         # FIXME: do non-overriden submodels get the right class?

From adfd1e52f4e99956533f8dbfd6e9fffde4f3c521 Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Sun, 30 Jul 2023 11:53:12 -0700
Subject: [PATCH 009/287] refactor(model_manager): avoid copy/paste logic

---
 invokeai/backend/model_management/model_manager.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index 930ce119fd..ac71e2d2f8 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -382,10 +382,9 @@ class ModelManager(object):
         # causing otherwise unreferenced models to be removed from memory
         self._read_models()
 
-    def model_exists(self, model_name: str, base_model: BaseModelType, model_type: ModelType, rescan=False) -> bool:
+    def model_exists(self, model_name: str, base_model: BaseModelType, model_type: ModelType, *, rescan=False) -> bool:
         """
-        Given a model name, returns True if it is a valid
-        identifier.
+        Given a model name, returns True if it is a valid identifier.
         """
         model_key = self.create_key(model_name, base_model, model_type)
         exists = model_key in self.models
@@ -393,7 +392,7 @@ class ModelManager(object):
         # if model not found try to find it (maybe file just pasted)
         if rescan and not exists:
             self.scan_models_directory(base_model=base_model, model_type=model_type)
-            exists = model_key in self.models
+            exists = self.model_exists(model_name, base_model, model_type, rescan=False)
 
         return exists
 

From bacdf985f1738f52816f88f708c25899279e517f Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Mon, 31 Jul 2023 09:08:46 -0700
Subject: [PATCH 010/287] doc(model_manager): docstrings

---
 .../backend/model_management/model_manager.py | 24 ++++++++++++++++---
 .../backend/model_management/models/vae.py    | 16 +++++++------
 2 files changed, 30 insertions(+), 10 deletions(-)

diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index ac71e2d2f8..139e65ac93 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -385,6 +385,11 @@ class ModelManager(object):
     def model_exists(self, model_name: str, base_model: BaseModelType, model_type: ModelType, *, rescan=False) -> bool:
         """
         Given a model name, returns True if it is a valid identifier.
+
+        :param model_name: symbolic name of the model in models.yaml
+        :param model_type: ModelType enum indicating the type of model to return
+        :param base_model: BaseModelType enum indicating the base model used by this model
+        :param rescan: if True, scan_models_directory
         """
         model_key = self.create_key(model_name, base_model, model_type)
         exists = model_key in self.models
@@ -470,7 +475,7 @@ class ModelManager(object):
 
             else:
                 self.models.pop(model_key, None)
-                raise ModelNotFoundException(f"Model not found - {model_key}")
+                raise ModelNotFoundException(f'Files for model "{model_key}" not found at {model_path}')
 
         # TODO: path
         # TODO: is it accurate to use path as id
@@ -508,7 +513,13 @@ class ModelManager(object):
             _cache=self.cache,
         )
 
-    def _get_model_path(self, model_config: ModelConfigBase, submodel_type: SubModelType = None) -> (Path, bool):
+    def _get_model_path(
+        self, model_config: ModelConfigBase, submodel_type: Optional[SubModelType] = None
+    ) -> (Path, bool):
+        """Extract a model's filesystem path from its config.
+
+        :return: The fully qualified Path of the module (or submodule).
+        """
         model_path = model_config.path
         is_submodel_override = False
 
@@ -523,6 +534,7 @@ class ModelManager(object):
         return model_path, is_submodel_override
 
     def _get_model_config(self, base_model, model_name, model_type) -> ModelConfigBase:
+        """Get a model's config object."""
         model_key = self.create_key(model_name, base_model, model_type)
         try:
             model_config = self.models[model_key]
@@ -531,12 +543,18 @@ class ModelManager(object):
         return model_config
 
     def _get_implementation(self, base_model: BaseModelType, model_type: ModelType) -> type[ModelBase]:
+        """Get the concrete implementation class for a specific model type."""
         model_class = MODEL_CLASSES[base_model][model_type]
         return model_class
 
     def _instantiate(
-        self, model_name: str, base_model: BaseModelType, model_type: ModelType, submodel_type: SubModelType = None
+        self,
+        model_name: str,
+        base_model: BaseModelType,
+        model_type: ModelType,
+        submodel_type: Optional[SubModelType] = None,
     ) -> ModelBase:
+        """Make a new instance of this model, without loading it."""
         model_config = self._get_model_config(base_model, model_name, model_type)
         model_path, is_submodel_override = self._get_model_path(model_config, submodel_type)
         # FIXME: do non-overriden submodels get the right class?
diff --git a/invokeai/backend/model_management/models/vae.py b/invokeai/backend/model_management/models/vae.py
index b15844bcf8..957a102ffb 100644
--- a/invokeai/backend/model_management/models/vae.py
+++ b/invokeai/backend/model_management/models/vae.py
@@ -1,9 +1,14 @@
 import os
-import torch
-import safetensors
 from enum import Enum
 from pathlib import Path
-from typing import Optional, Union, Literal
+from typing import Optional
+
+import safetensors
+import torch
+from diffusers.utils import is_safetensors_available
+from omegaconf import OmegaConf
+
+from invokeai.app.services.config import InvokeAIAppConfig
 from .base import (
     ModelBase,
     ModelConfigBase,
@@ -18,9 +23,6 @@ from .base import (
     InvalidModelException,
     ModelNotFoundException,
 )
-from invokeai.app.services.config import InvokeAIAppConfig
-from diffusers.utils import is_safetensors_available
-from omegaconf import OmegaConf
 
 
 class VaeModelFormat(str, Enum):
@@ -80,7 +82,7 @@ class VaeModel(ModelBase):
     @classmethod
     def detect_format(cls, path: str):
         if not os.path.exists(path):
-            raise ModelNotFoundException()
+            raise ModelNotFoundException(f"Does not exist as local file: {path}")
 
         if os.path.isdir(path):
             if os.path.exists(os.path.join(path, "config.json")):

From 7cd8b2f20712e8f28ebdf8e888603ef366d001aa Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 31 Jul 2023 21:15:44 -0400
Subject: [PATCH 011/287] Refactor root detection code

---
 invokeai/app/services/config.py            | 13 ++++---------
 invokeai/frontend/install/model_install.py |  2 ++
 2 files changed, 6 insertions(+), 9 deletions(-)

diff --git a/invokeai/app/services/config.py b/invokeai/app/services/config.py
index a9a4a64f75..c75c0602b1 100644
--- a/invokeai/app/services/config.py
+++ b/invokeai/app/services/config.py
@@ -274,7 +274,7 @@ class InvokeAISettings(BaseSettings):
     @classmethod
     def _excluded(self) -> List[str]:
         # internal fields that shouldn't be exposed as command line options
-        return ["type", "initconf", "cached_root"]
+        return ["type", "initconf"]
 
     @classmethod
     def _excluded_from_yaml(self) -> List[str]:
@@ -290,7 +290,6 @@ class InvokeAISettings(BaseSettings):
             "restore",
             "root",
             "nsfw_checker",
-            "cached_root",
         ]
 
     class Config:
@@ -357,6 +356,7 @@ def _find_root() -> Path:
     venv = Path(os.environ.get("VIRTUAL_ENV") or ".")
     if os.environ.get("INVOKEAI_ROOT"):
         root = Path(os.environ.get("INVOKEAI_ROOT")).resolve()
+        os.environ["INVOKEAI_ROOT"] = str(root)  # absolutize it to protect against code doing a cwd()
     elif any([(venv.parent / x).exists() for x in [INIT_FILE, LEGACY_INIT_FILE]]):
         root = (venv.parent).resolve()
     else:
@@ -424,7 +424,6 @@ class InvokeAIAppConfig(InvokeAISettings):
     log_level           : Literal[tuple(["debug","info","warning","error","critical"])] = Field(default="info", description="Emit logging messages at this level or  higher", category="Logging")
 
     version             : bool = Field(default=False, description="Show InvokeAI version and exit", category="Other")
-    cached_root         : Path = Field(default=None,  description="internal use only", category="DEPRECATED")
     # fmt: on
 
     def parse_args(self, argv: List[str] = None, conf: DictConfig = None, clobber=False):
@@ -472,15 +471,11 @@ class InvokeAIAppConfig(InvokeAISettings):
         """
         Path to the runtime root directory
         """
-        # we cache value of root to protect against it being '.' and the cwd changing
-        if self.cached_root:
-            root = self.cached_root
-        elif self.root:
+        if self.root:
             root = Path(self.root).expanduser().absolute()
         else:
             root = self.find_root()
-        self.cached_root = root
-        return self.cached_root
+        return root
 
     @property
     def root_dir(self) -> Path:
diff --git a/invokeai/frontend/install/model_install.py b/invokeai/frontend/install/model_install.py
index 0633553a3d..3eb6425f77 100644
--- a/invokeai/frontend/install/model_install.py
+++ b/invokeai/frontend/install/model_install.py
@@ -767,7 +767,9 @@ def main():
         invoke_args.extend(["--root", opt.root])
     if opt.full_precision:
         invoke_args.extend(["--precision", "float32"])
+    print(f"DEBUG: {invoke_args}")
     config.parse_args(invoke_args)
+    print(f"DEBUG: {config.root} {config.root_path}")
     logger = InvokeAILogger().getLogger(config=config)
 
     if not config.model_conf_path.exists():

From 72ebe2ce686a6c1188f17fde5ac9225cda9f0d5b Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 31 Jul 2023 22:27:07 -0400
Subject: [PATCH 012/287] refactor root directory detection to be cleaner

---
 invokeai/app/services/config.py |  4 ++--
 tests/test_config.py            | 14 ++++++++++++++
 2 files changed, 16 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/services/config.py b/invokeai/app/services/config.py
index c75c0602b1..434ba47fc1 100644
--- a/invokeai/app/services/config.py
+++ b/invokeai/app/services/config.py
@@ -356,7 +356,6 @@ def _find_root() -> Path:
     venv = Path(os.environ.get("VIRTUAL_ENV") or ".")
     if os.environ.get("INVOKEAI_ROOT"):
         root = Path(os.environ.get("INVOKEAI_ROOT")).resolve()
-        os.environ["INVOKEAI_ROOT"] = str(root)  # absolutize it to protect against code doing a cwd()
     elif any([(venv.parent / x).exists() for x in [INIT_FILE, LEGACY_INIT_FILE]]):
         root = (venv.parent).resolve()
     else:
@@ -403,7 +402,7 @@ class InvokeAIAppConfig(InvokeAISettings):
     xformers_enabled    : bool = Field(default=True, description="Enable/disable memory-efficient attention", category='Memory/Performance')
     tiled_decode        : bool = Field(default=False, description="Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty)", category='Memory/Performance')
 
-    root                : Path = Field(default=_find_root(), description='InvokeAI runtime root directory', category='Paths')
+    root                : Path = Field(default=None, description='InvokeAI runtime root directory', category='Paths')
     autoimport_dir      : Path = Field(default='autoimport', description='Path to a directory of models files to be imported on startup.', category='Paths')
     lora_dir            : Path = Field(default=None, description='Path to a directory of LoRA/LyCORIS models to be imported on startup.', category='Paths')
     embedding_dir       : Path = Field(default=None, description='Path to a directory of Textual Inversion embeddings to be imported on startup.', category='Paths')
@@ -475,6 +474,7 @@ class InvokeAIAppConfig(InvokeAISettings):
             root = Path(self.root).expanduser().absolute()
         else:
             root = self.find_root()
+        self.root = root  # insulate ourselves from relative paths that may change
         return root
 
     @property
diff --git a/tests/test_config.py b/tests/test_config.py
index 5d3dc46aa4..a84af80eb9 100644
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -84,6 +84,20 @@ def test_env_override():
     assert conf.max_cache_size == 20
 
 
+def test_root_resists_cwd():
+    previous = os.environ["INVOKEAI_ROOT"]
+    cwd = Path(os.getcwd()).resolve()
+
+    os.environ["INVOKEAI_ROOT"] = "."
+    conf = InvokeAIAppConfig.get_config()
+    conf.parse_args([])
+    assert conf.root_path == cwd
+
+    os.chdir(previous)
+    assert conf.root_path == cwd
+    os.environ["INVOKEAI_ROOT"] = previous
+
+
 def test_type_coercion():
     conf = InvokeAIAppConfig().get_config()
     conf.parse_args(argv=["--root=/tmp/foobar"])

From 55d3f04476c3b8cc529ae49460e974ecb8aee454 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 31 Jul 2023 22:36:11 -0400
Subject: [PATCH 013/287] additional refactoring

---
 invokeai/app/services/config.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/services/config.py b/invokeai/app/services/config.py
index 434ba47fc1..c119f2f74c 100644
--- a/invokeai/app/services/config.py
+++ b/invokeai/app/services/config.py
@@ -355,7 +355,7 @@ class InvokeAISettings(BaseSettings):
 def _find_root() -> Path:
     venv = Path(os.environ.get("VIRTUAL_ENV") or ".")
     if os.environ.get("INVOKEAI_ROOT"):
-        root = Path(os.environ.get("INVOKEAI_ROOT")).resolve()
+        root = Path(os.environ["INVOKEAI_ROOT"])
     elif any([(venv.parent / x).exists() for x in [INIT_FILE, LEGACY_INIT_FILE]]):
         root = (venv.parent).resolve()
     else:
@@ -473,7 +473,7 @@ class InvokeAIAppConfig(InvokeAISettings):
         if self.root:
             root = Path(self.root).expanduser().absolute()
         else:
-            root = self.find_root()
+            root = self.find_root().expanduser().absolute()
         self.root = root  # insulate ourselves from relative paths that may change
         return root
 

From df53b6204805da502709b870c6bdc3453c0a6c6d Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 31 Jul 2023 22:39:11 -0400
Subject: [PATCH 014/287] get rid of dangling debug statements

---
 invokeai/frontend/install/model_install.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/invokeai/frontend/install/model_install.py b/invokeai/frontend/install/model_install.py
index 3eb6425f77..0633553a3d 100644
--- a/invokeai/frontend/install/model_install.py
+++ b/invokeai/frontend/install/model_install.py
@@ -767,9 +767,7 @@ def main():
         invoke_args.extend(["--root", opt.root])
     if opt.full_precision:
         invoke_args.extend(["--precision", "float32"])
-    print(f"DEBUG: {invoke_args}")
     config.parse_args(invoke_args)
-    print(f"DEBUG: {config.root} {config.root_path}")
     logger = InvokeAILogger().getLogger(config=config)
 
     if not config.model_conf_path.exists():

From 437f45a97faa55681fdc1fe82736cf3d74063c08 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Tue, 1 Aug 2023 00:41:35 -0400
Subject: [PATCH 015/287] do not depend on existence of /tmp directory

---
 tests/test_config.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/tests/test_config.py b/tests/test_config.py
index a84af80eb9..721edce487 100644
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -93,9 +93,10 @@ def test_root_resists_cwd():
     conf.parse_args([])
     assert conf.root_path == cwd
 
-    os.chdir(previous)
+    os.chdir("..")
     assert conf.root_path == cwd
     os.environ["INVOKEAI_ROOT"] = previous
+    os.chdir(cwd)
 
 
 def test_type_coercion():

From fb8f218901ead1658562106c420b7d340fceba88 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Tue, 1 Aug 2023 14:26:02 +1000
Subject: [PATCH 016/287] fix(ui): post-onnx fixes

---
 invokeai/frontend/web/.husky/pre-commit       |  2 -
 .../listeners/modelSelected.ts                |  4 +-
 .../listeners/modelsLoaded.ts                 |  7 +-
 .../util/graphBuilders/addLoRAsToGraph.ts     |  4 +-
 .../nodes/util/graphBuilders/addVAEToGraph.ts | 10 +--
 .../buildCanvasTextToImageGraph.ts            | 60 ++++++++++-----
 .../buildLinearTextToImageGraph.ts            | 76 +++++++++++++------
 .../parameters/hooks/useRecallParameters.ts   |  3 +-
 .../parameters/store/generationSlice.ts       | 10 ++-
 .../parameters/types/parameterSchemas.ts      | 64 +++++++++++-----
 .../util/modelIdToMainModelParam.ts           |  7 +-
 .../util/modelIdToSDXLRefinerModelParam.ts    | 31 ++++++++
 .../ParamSDXLRefinerModelSelect.tsx           |  4 +-
 .../web/src/features/sdxl/store/sdxlSlice.ts  |  7 +-
 .../subpanels/ModelManagerPanel/ModelList.tsx |  7 ++
 .../ModelManagerPanel/ModelListItem.tsx       | 12 ++-
 .../frontend/web/src/services/api/schema.d.ts | 20 ++---
 .../frontend/web/src/services/api/types.d.ts  |  7 +-
 18 files changed, 229 insertions(+), 106 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/parameters/util/modelIdToSDXLRefinerModelParam.ts

diff --git a/invokeai/frontend/web/.husky/pre-commit b/invokeai/frontend/web/.husky/pre-commit
index f7584d86eb..f89f3ad735 100755
--- a/invokeai/frontend/web/.husky/pre-commit
+++ b/invokeai/frontend/web/.husky/pre-commit
@@ -1,6 +1,4 @@
 #!/usr/bin/env sh
 . "$(dirname -- "$0")/_/husky.sh"
 
-python -m black . --check
-
 cd invokeai/frontend/web/ && npm run lint-staged
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts
index 7880386057..e44cbe504a 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts
@@ -6,7 +6,7 @@ import {
   modelChanged,
   vaeSelected,
 } from 'features/parameters/store/generationSlice';
-import { zMainModel } from 'features/parameters/types/parameterSchemas';
+import { zMainOrOnnxModel } from 'features/parameters/types/parameterSchemas';
 import { addToast } from 'features/system/store/systemSlice';
 import { makeToast } from 'features/system/util/makeToast';
 import { forEach } from 'lodash-es';
@@ -19,7 +19,7 @@ export const addModelSelectedListener = () => {
       const log = logger('models');
 
       const state = getState();
-      const result = zMainModel.safeParse(action.payload);
+      const result = zMainOrOnnxModel.safeParse(action.payload);
 
       if (!result.success) {
         log.error(
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts
index 32d512f504..325e843900 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts
@@ -6,7 +6,8 @@ import {
   vaeSelected,
 } from 'features/parameters/store/generationSlice';
 import {
-  zMainModel,
+  zMainOrOnnxModel,
+  zSDXLRefinerModel,
   zVaeModel,
 } from 'features/parameters/types/parameterSchemas';
 import {
@@ -53,7 +54,7 @@ export const addModelsLoadedListener = () => {
         return;
       }
 
-      const result = zMainModel.safeParse(firstModel);
+      const result = zMainOrOnnxModel.safeParse(firstModel);
 
       if (!result.success) {
         log.error(
@@ -102,7 +103,7 @@ export const addModelsLoadedListener = () => {
         return;
       }
 
-      const result = zMainModel.safeParse(firstModel);
+      const result = zSDXLRefinerModel.safeParse(firstModel);
 
       if (!result.success) {
         log.error(
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addLoRAsToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addLoRAsToGraph.ts
index e4973f0c36..bc0bfee8fd 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addLoRAsToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addLoRAsToGraph.ts
@@ -19,7 +19,7 @@ export const addLoRAsToGraph = (
   state: RootState,
   graph: NonNullableGraph,
   baseNodeId: string,
-  modelLoader: string = MAIN_MODEL_LOADER
+  modelLoaderNodeId: string = MAIN_MODEL_LOADER
 ): void => {
   /**
    * LoRA nodes get the UNet and CLIP models from the main model loader and apply the LoRA to them.
@@ -85,7 +85,7 @@ export const addLoRAsToGraph = (
       // first lora = start the lora chain, attach directly to model loader
       graph.edges.push({
         source: {
-          node_id: modelLoader,
+          node_id: modelLoaderNodeId,
           field: 'unet',
         },
         destination: {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts
index 154bdb60c5..1472b3ea3f 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts
@@ -17,7 +17,7 @@ import {
 export const addVAEToGraph = (
   state: RootState,
   graph: NonNullableGraph,
-  modelLoader: string = MAIN_MODEL_LOADER
+  modelLoaderNodeId: string = MAIN_MODEL_LOADER
 ): void => {
   const { vae } = state.generation;
 
@@ -34,11 +34,11 @@ export const addVAEToGraph = (
       vae_model: vae,
     };
   }
-  const isOnnxModel = modelLoader == ONNX_MODEL_LOADER;
+  const isOnnxModel = modelLoaderNodeId == ONNX_MODEL_LOADER;
   if (graph.id === TEXT_TO_IMAGE_GRAPH || graph.id === IMAGE_TO_IMAGE_GRAPH) {
     graph.edges.push({
       source: {
-        node_id: isAutoVae ? modelLoader : VAE_LOADER,
+        node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
         field: isAutoVae && isOnnxModel ? 'vae_decoder' : 'vae',
       },
       destination: {
@@ -51,7 +51,7 @@ export const addVAEToGraph = (
   if (graph.id === IMAGE_TO_IMAGE_GRAPH) {
     graph.edges.push({
       source: {
-        node_id: isAutoVae ? modelLoader : VAE_LOADER,
+        node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
         field: isAutoVae && isOnnxModel ? 'vae_decoder' : 'vae',
       },
       destination: {
@@ -64,7 +64,7 @@ export const addVAEToGraph = (
   if (graph.id === INPAINT_GRAPH) {
     graph.edges.push({
       source: {
-        node_id: isAutoVae ? modelLoader : VAE_LOADER,
+        node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
         field: isAutoVae && isOnnxModel ? 'vae_decoder' : 'vae',
       },
       destination: {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
index 14a81c4e4d..5b636b482a 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
@@ -20,6 +20,10 @@ import {
   TEXT_TO_IMAGE_GRAPH,
   TEXT_TO_LATENTS,
 } from './constants';
+import {
+  ONNXTextToLatentsInvocation,
+  TextToLatentsInvocation,
+} from 'services/api/types';
 
 /**
  * Builds the Canvas tab's Text to Image graph.
@@ -53,8 +57,31 @@ export const buildCanvasTextToImageGraph = (
   const use_cpu = shouldUseNoiseSettings
     ? shouldUseCpuNoise
     : initialGenerationState.shouldUseCpuNoise;
-  const onnx_model_type = model.model_type.includes('onnx');
-  const model_loader = onnx_model_type ? ONNX_MODEL_LOADER : MAIN_MODEL_LOADER;
+  const isUsingOnnxModel = model.model_type === 'onnx';
+  const modelLoaderNodeId = isUsingOnnxModel
+    ? ONNX_MODEL_LOADER
+    : MAIN_MODEL_LOADER;
+  const modelLoaderNodeType = isUsingOnnxModel
+    ? 'onnx_model_loader'
+    : 'main_model_loader';
+  const t2lNode: TextToLatentsInvocation | ONNXTextToLatentsInvocation =
+    isUsingOnnxModel
+      ? {
+          type: 't2l_onnx',
+          id: TEXT_TO_LATENTS,
+          is_intermediate: true,
+          cfg_scale,
+          scheduler,
+          steps,
+        }
+      : {
+          type: 't2l',
+          id: TEXT_TO_LATENTS,
+          is_intermediate: true,
+          cfg_scale,
+          scheduler,
+          steps,
+        };
   /**
    * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
    * full graph here as a template. Then use the parameters from app state and set friendlier node
@@ -70,13 +97,13 @@ export const buildCanvasTextToImageGraph = (
     id: TEXT_TO_IMAGE_GRAPH,
     nodes: {
       [POSITIVE_CONDITIONING]: {
-        type: onnx_model_type ? 'prompt_onnx' : 'compel',
+        type: isUsingOnnxModel ? 'prompt_onnx' : 'compel',
         id: POSITIVE_CONDITIONING,
         is_intermediate: true,
         prompt: positivePrompt,
       },
       [NEGATIVE_CONDITIONING]: {
-        type: onnx_model_type ? 'prompt_onnx' : 'compel',
+        type: isUsingOnnxModel ? 'prompt_onnx' : 'compel',
         id: NEGATIVE_CONDITIONING,
         is_intermediate: true,
         prompt: negativePrompt,
@@ -89,17 +116,10 @@ export const buildCanvasTextToImageGraph = (
         height,
         use_cpu,
       },
-      [TEXT_TO_LATENTS]: {
-        type: onnx_model_type ? 't2l_onnx' : 't2l',
-        id: TEXT_TO_LATENTS,
-        is_intermediate: true,
-        cfg_scale,
-        scheduler,
-        steps,
-      },
-      [model_loader]: {
-        type: model_loader,
-        id: model_loader,
+      [t2lNode.id]: t2lNode,
+      [modelLoaderNodeId]: {
+        type: modelLoaderNodeType,
+        id: modelLoaderNodeId,
         is_intermediate: true,
         model,
       },
@@ -110,7 +130,7 @@ export const buildCanvasTextToImageGraph = (
         skipped_layers: clipSkip,
       },
       [LATENTS_TO_IMAGE]: {
-        type: onnx_model_type ? 'l2i_onnx' : 'l2i',
+        type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i',
         id: LATENTS_TO_IMAGE,
         is_intermediate: !shouldAutoSave,
       },
@@ -138,7 +158,7 @@ export const buildCanvasTextToImageGraph = (
       },
       {
         source: {
-          node_id: model_loader,
+          node_id: modelLoaderNodeId,
           field: 'clip',
         },
         destination: {
@@ -168,7 +188,7 @@ export const buildCanvasTextToImageGraph = (
       },
       {
         source: {
-          node_id: model_loader,
+          node_id: modelLoaderNodeId,
           field: 'unet',
         },
         destination: {
@@ -232,10 +252,10 @@ export const buildCanvasTextToImageGraph = (
   });
 
   // add LoRA support
-  addLoRAsToGraph(state, graph, TEXT_TO_LATENTS, model_loader);
+  addLoRAsToGraph(state, graph, TEXT_TO_LATENTS, modelLoaderNodeId);
 
   // optionally add custom VAE
-  addVAEToGraph(state, graph, model_loader);
+  addVAEToGraph(state, graph, modelLoaderNodeId);
 
   // add dynamic prompts - also sets up core iteration and seed
   addDynamicPromptsToGraph(state, graph);
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
index 3ae6f7650d..9dcc502d14 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
@@ -20,6 +20,10 @@ import {
   TEXT_TO_IMAGE_GRAPH,
   TEXT_TO_LATENTS,
 } from './constants';
+import {
+  ONNXTextToLatentsInvocation,
+  TextToLatentsInvocation,
+} from 'services/api/types';
 
 export const buildLinearTextToImageGraph = (
   state: RootState
@@ -49,8 +53,31 @@ export const buildLinearTextToImageGraph = (
     throw new Error('No model found in state');
   }
 
-  const onnx_model_type = model.model_type.includes('onnx');
-  const model_loader = onnx_model_type ? ONNX_MODEL_LOADER : MAIN_MODEL_LOADER;
+  const isUsingOnnxModel = model.model_type === 'onnx';
+  const modelLoaderNodeId = isUsingOnnxModel
+    ? ONNX_MODEL_LOADER
+    : MAIN_MODEL_LOADER;
+  const modelLoaderNodeType = isUsingOnnxModel
+    ? 'onnx_model_loader'
+    : 'main_model_loader';
+  const t2lNode: TextToLatentsInvocation | ONNXTextToLatentsInvocation =
+    isUsingOnnxModel
+      ? {
+          type: 't2l_onnx',
+          id: TEXT_TO_LATENTS,
+          is_intermediate: true,
+          cfg_scale,
+          scheduler,
+          steps,
+        }
+      : {
+          type: 't2l',
+          id: TEXT_TO_LATENTS,
+          is_intermediate: true,
+          cfg_scale,
+          scheduler,
+          steps,
+        };
   /**
    * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
    * full graph here as a template. Then use the parameters from app state and set friendlier node
@@ -66,25 +93,17 @@ export const buildLinearTextToImageGraph = (
   const graph: NonNullableGraph = {
     id: TEXT_TO_IMAGE_GRAPH,
     nodes: {
-      [model_loader]: {
-        type: model_loader,
-        id: model_loader,
-        model,
-      },
-      [CLIP_SKIP]: {
-        type: 'clip_skip',
-        id: CLIP_SKIP,
-        skipped_layers: clipSkip,
-      },
       [POSITIVE_CONDITIONING]: {
-        type: onnx_model_type ? 'prompt_onnx' : 'compel',
+        type: isUsingOnnxModel ? 'prompt_onnx' : 'compel',
         id: POSITIVE_CONDITIONING,
         prompt: positivePrompt,
+        is_intermediate: true,
       },
       [NEGATIVE_CONDITIONING]: {
-        type: onnx_model_type ? 'prompt_onnx' : 'compel',
+        type: isUsingOnnxModel ? 'prompt_onnx' : 'compel',
         id: NEGATIVE_CONDITIONING,
         prompt: negativePrompt,
+        is_intermediate: true,
       },
       [NOISE]: {
         type: 'noise',
@@ -92,16 +111,23 @@ export const buildLinearTextToImageGraph = (
         width,
         height,
         use_cpu,
+        is_intermediate: true,
       },
-      [TEXT_TO_LATENTS]: {
-        type: onnx_model_type ? 't2l_onnx' : 't2l',
-        id: TEXT_TO_LATENTS,
-        cfg_scale,
-        scheduler,
-        steps,
+      [t2lNode.id]: t2lNode,
+      [modelLoaderNodeId]: {
+        type: modelLoaderNodeType,
+        id: modelLoaderNodeId,
+        is_intermediate: true,
+        model,
+      },
+      [CLIP_SKIP]: {
+        type: 'clip_skip',
+        id: CLIP_SKIP,
+        skipped_layers: clipSkip,
+        is_intermediate: true,
       },
       [LATENTS_TO_IMAGE]: {
-        type: onnx_model_type ? 'l2i_onnx' : 'l2i',
+        type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i',
         id: LATENTS_TO_IMAGE,
         fp32: vaePrecision === 'fp32' ? true : false,
       },
@@ -109,7 +135,7 @@ export const buildLinearTextToImageGraph = (
     edges: [
       {
         source: {
-          node_id: model_loader,
+          node_id: modelLoaderNodeId,
           field: 'clip',
         },
         destination: {
@@ -119,7 +145,7 @@ export const buildLinearTextToImageGraph = (
       },
       {
         source: {
-          node_id: model_loader,
+          node_id: modelLoaderNodeId,
           field: 'unet',
         },
         destination: {
@@ -223,10 +249,10 @@ export const buildLinearTextToImageGraph = (
   });
 
   // add LoRA support
-  addLoRAsToGraph(state, graph, TEXT_TO_LATENTS, model_loader);
+  addLoRAsToGraph(state, graph, TEXT_TO_LATENTS, modelLoaderNodeId);
 
   // optionally add custom VAE
-  addVAEToGraph(state, graph, model_loader);
+  addVAEToGraph(state, graph, modelLoaderNodeId);
 
   // add dynamic prompts - also sets up core iteration and seed
   addDynamicPromptsToGraph(state, graph);
diff --git a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
index 0165245bd0..cb2361524d 100644
--- a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
+++ b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
@@ -35,6 +35,7 @@ import {
   isValidSDXLNegativeStylePrompt,
   isValidSDXLPositiveStylePrompt,
   isValidSDXLRefinerAestheticScore,
+  isValidSDXLRefinerModel,
   isValidSDXLRefinerStart,
   isValidScheduler,
   isValidSeed,
@@ -381,7 +382,7 @@ export const useRecallParameters = () => {
         dispatch(setNegativeStylePromptSDXL(negative_style_prompt));
       }
 
-      if (isValidMainModel(refiner_model)) {
+      if (isValidSDXLRefinerModel(refiner_model)) {
         dispatch(refinerModelChanged(refiner_model));
       }
 
diff --git a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
index 8dd22026a9..12f2c3eabf 100644
--- a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
+++ b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
@@ -3,13 +3,14 @@ import { createSlice } from '@reduxjs/toolkit';
 import { roundToMultiple } from 'common/util/roundDownToMultiple';
 import { configChanged } from 'features/system/store/configSlice';
 import { clamp } from 'lodash-es';
-import { ImageDTO, MainModelField, OnnxModelField } from 'services/api/types';
+import { ImageDTO } from 'services/api/types';
 import { clipSkipMap } from '../types/constants';
 import {
   CfgScaleParam,
   HeightParam,
   MainModelParam,
   NegativePromptParam,
+  OnnxModelParam,
   PositivePromptParam,
   PrecisionParam,
   SchedulerParam,
@@ -50,7 +51,7 @@ export interface GenerationState {
   shouldUseSymmetry: boolean;
   horizontalSymmetrySteps: number;
   verticalSymmetrySteps: number;
-  model: MainModelField | OnnxModelField | null;
+  model: MainModelParam | OnnxModelParam | null;
   vae: VaeModelParam | null;
   vaePrecision: PrecisionParam;
   seamlessXAxis: boolean;
@@ -229,7 +230,10 @@ export const generationSlice = createSlice({
       const { image_name, width, height } = action.payload;
       state.initialImage = { imageName: image_name, width, height };
     },
-    modelChanged: (state, action: PayloadAction<MainModelParam | null>) => {
+    modelChanged: (
+      state,
+      action: PayloadAction<MainModelParam | OnnxModelParam | null>
+    ) => {
       state.model = action.payload;
 
       if (state.model === null) {
diff --git a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
index cc9df619fb..ac799ac600 100644
--- a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
+++ b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
@@ -210,42 +210,70 @@ export type HeightParam = z.infer<typeof zHeight>;
 export const isValidHeight = (val: unknown): val is HeightParam =>
   zHeight.safeParse(val).success;
 
-const zModelType = z.enum([
-  'vae',
-  'lora',
-  'onnx',
-  'main',
-  'controlnet',
-  'embedding',
-]);
 const zBaseModel = z.enum(['sd-1', 'sd-2', 'sdxl', 'sdxl-refiner']);
 
 export type BaseModelParam = z.infer<typeof zBaseModel>;
 
 /**
- * Zod schema for model parameter
+ * Zod schema for main model parameter
  * TODO: Make this a dynamically generated enum?
  */
 export const zMainModel = z.object({
   model_name: z.string().min(1),
   base_model: zBaseModel,
-  model_type: zModelType,
+  model_type: z.literal('main'),
 });
-
 /**
- * Type alias for model parameter, inferred from its zod schema
+ * Type alias for main model parameter, inferred from its zod schema
  */
 export type MainModelParam = z.infer<typeof zMainModel>;
-
 /**
- * Type alias for model parameter, inferred from its zod schema
- */
-export type OnnxModelParam = z.infer<typeof zMainModel>;
-/**
- * Validates/type-guards a value as a model parameter
+ * Validates/type-guards a value as a main model parameter
  */
 export const isValidMainModel = (val: unknown): val is MainModelParam =>
   zMainModel.safeParse(val).success;
+
+/**
+ * Zod schema for SDXL refiner model parameter
+ * TODO: Make this a dynamically generated enum?
+ */
+export const zSDXLRefinerModel = z.object({
+  model_name: z.string().min(1),
+  base_model: z.literal('sdxl-refiner'),
+  model_type: z.literal('main'),
+});
+/**
+ * Type alias for SDXL refiner model parameter, inferred from its zod schema
+ */
+export type SDXLRefinerModelParam = z.infer<typeof zSDXLRefinerModel>;
+/**
+ * Validates/type-guards a value as a SDXL refiner model parameter
+ */
+export const isValidSDXLRefinerModel = (
+  val: unknown
+): val is SDXLRefinerModelParam => zSDXLRefinerModel.safeParse(val).success;
+
+/**
+ * Zod schema for Onnx model parameter
+ * TODO: Make this a dynamically generated enum?
+ */
+export const zOnnxModel = z.object({
+  model_name: z.string().min(1),
+  base_model: zBaseModel,
+  model_type: z.literal('onnx'),
+});
+/**
+ * Type alias for Onnx model parameter, inferred from its zod schema
+ */
+export type OnnxModelParam = z.infer<typeof zOnnxModel>;
+/**
+ * Validates/type-guards a value as a Onnx model parameter
+ */
+export const isValidOnnxModel = (val: unknown): val is OnnxModelParam =>
+  zOnnxModel.safeParse(val).success;
+
+export const zMainOrOnnxModel = z.union([zMainModel, zOnnxModel]);
+
 /**
  * Zod schema for VAE parameter
  */
diff --git a/invokeai/frontend/web/src/features/parameters/util/modelIdToMainModelParam.ts b/invokeai/frontend/web/src/features/parameters/util/modelIdToMainModelParam.ts
index 7d2a606e97..78a3bcc515 100644
--- a/invokeai/frontend/web/src/features/parameters/util/modelIdToMainModelParam.ts
+++ b/invokeai/frontend/web/src/features/parameters/util/modelIdToMainModelParam.ts
@@ -1,16 +1,17 @@
 import { logger } from 'app/logging/logger';
 import {
   MainModelParam,
-  zMainModel,
+  OnnxModelParam,
+  zMainOrOnnxModel,
 } from 'features/parameters/types/parameterSchemas';
 
 export const modelIdToMainModelParam = (
   mainModelId: string
-): MainModelParam | undefined => {
+): OnnxModelParam | MainModelParam | undefined => {
   const log = logger('models');
   const [base_model, model_type, model_name] = mainModelId.split('/');
 
-  const result = zMainModel.safeParse({
+  const result = zMainOrOnnxModel.safeParse({
     base_model,
     model_name,
     model_type,
diff --git a/invokeai/frontend/web/src/features/parameters/util/modelIdToSDXLRefinerModelParam.ts b/invokeai/frontend/web/src/features/parameters/util/modelIdToSDXLRefinerModelParam.ts
new file mode 100644
index 0000000000..780ac56459
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/util/modelIdToSDXLRefinerModelParam.ts
@@ -0,0 +1,31 @@
+import { logger } from 'app/logging/logger';
+import {
+  SDXLRefinerModelParam,
+  zSDXLRefinerModel,
+} from 'features/parameters/types/parameterSchemas';
+
+export const modelIdToSDXLRefinerModelParam = (
+  mainModelId: string
+): SDXLRefinerModelParam | undefined => {
+  const log = logger('models');
+  const [base_model, model_type, model_name] = mainModelId.split('/');
+
+  const result = zSDXLRefinerModel.safeParse({
+    base_model,
+    model_name,
+    model_type,
+  });
+
+  if (!result.success) {
+    log.error(
+      {
+        mainModelId,
+        errors: result.error.format(),
+      },
+      'Failed to parse main model id'
+    );
+    return;
+  }
+
+  return result.data;
+};
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
index cae40bbff3..522c6ba8a7 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerModelSelect.tsx
@@ -6,7 +6,7 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
 import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
-import { modelIdToMainModelParam } from 'features/parameters/util/modelIdToMainModelParam';
+import { modelIdToSDXLRefinerModelParam } from 'features/parameters/util/modelIdToSDXLRefinerModelParam';
 import { refinerModelChanged } from 'features/sdxl/store/sdxlSlice';
 import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
 import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
@@ -68,7 +68,7 @@ const ParamSDXLRefinerModelSelect = () => {
         return;
       }
 
-      const newModel = modelIdToMainModelParam(v);
+      const newModel = modelIdToSDXLRefinerModelParam(v);
 
       if (!newModel) {
         return;
diff --git a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
index 7a8ccffa97..7ee3ea1d4f 100644
--- a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
+++ b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
@@ -1,11 +1,10 @@
 import { PayloadAction, createSlice } from '@reduxjs/toolkit';
 import {
-  MainModelParam,
   NegativeStylePromptSDXLParam,
   PositiveStylePromptSDXLParam,
+  SDXLRefinerModelParam,
   SchedulerParam,
 } from 'features/parameters/types/parameterSchemas';
-import { MainModelField } from 'services/api/types';
 
 type SDXLInitialState = {
   positiveStylePrompt: PositiveStylePromptSDXLParam;
@@ -13,7 +12,7 @@ type SDXLInitialState = {
   shouldConcatSDXLStylePrompt: boolean;
   shouldUseSDXLRefiner: boolean;
   sdxlImg2ImgDenoisingStrength: number;
-  refinerModel: MainModelField | null;
+  refinerModel: SDXLRefinerModelParam | null;
   refinerSteps: number;
   refinerCFGScale: number;
   refinerScheduler: SchedulerParam;
@@ -56,7 +55,7 @@ const sdxlSlice = createSlice({
     },
     refinerModelChanged: (
       state,
-      action: PayloadAction<MainModelParam | null>
+      action: PayloadAction<SDXLRefinerModelParam | null>
     ) => {
       state.refinerModel = action.payload;
     },
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx
index a9810a75ab..3f100d9072 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx
@@ -97,6 +97,13 @@ const ModelList = (props: ModelListProps) => {
           >
             {t('modelManager.diffusersModels')}
           </IAIButton>
+          <IAIButton
+            size="sm"
+            onClick={() => setModelFormatFilter('checkpoint')}
+            isChecked={modelFormatFilter === 'checkpoint'}
+          >
+            {t('modelManager.checkpointModels')}
+          </IAIButton>
           <IAIButton
             size="sm"
             onClick={() => setModelFormatFilter('onnx')}
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx
index 9380eed688..396ece2063 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelListItem.tsx
@@ -15,10 +15,11 @@ import {
   LoRAModelConfigEntity,
   useDeleteMainModelsMutation,
   useDeleteLoRAModelsMutation,
+  OnnxModelConfigEntity,
 } from 'services/api/endpoints/models';
 
 type ModelListItemProps = {
-  model: MainModelConfigEntity | LoRAModelConfigEntity;
+  model: MainModelConfigEntity | OnnxModelConfigEntity | LoRAModelConfigEntity;
   isSelected: boolean;
   setSelectedModelId: (v: string | undefined) => void;
 };
@@ -37,9 +38,12 @@ export default function ModelListItem(props: ModelListItemProps) {
   }, [model.id, setSelectedModelId]);
 
   const handleModelDelete = useCallback(() => {
-    const method = { main: deleteMainModel, lora: deleteLoRAModel }[
-      model.model_type
-    ];
+    const method = {
+      main: deleteMainModel,
+      lora: deleteLoRAModel,
+      onnx: deleteMainModel,
+    }[model.model_type];
+
     method(model)
       .unwrap()
       .then((_) => {
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 34e0bc70e5..80f0933f37 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -1381,7 +1381,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined;
+        [key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined;
       };
       /**
        * Edges 
@@ -1424,7 +1424,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
+        [key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
       };
       /**
        * Errors 
@@ -2562,10 +2562,10 @@ export type components = {
       /**
        * Infill Method 
        * @description The method used to infill empty regions (px) 
-       * @default tile 
+       * @default patchmatch 
        * @enum {string}
        */
-      infill_method?: "tile" | "solid";
+      infill_method?: "patchmatch" | "tile" | "solid";
       /**
        * Inpaint Width 
        * @description The width of the inpaint region (px)
@@ -5892,11 +5892,11 @@ export type components = {
       image?: components["schemas"]["ImageField"];
     };
     /**
-     * StableDiffusionOnnxModelFormat 
+     * ControlNetModelFormat 
      * @description An enumeration. 
      * @enum {string}
      */
-    StableDiffusionOnnxModelFormat: "olive" | "onnx";
+    ControlNetModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionXLModelFormat 
      * @description An enumeration. 
@@ -5904,11 +5904,11 @@ export type components = {
      */
     StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
-     * ControlNetModelFormat 
+     * StableDiffusionOnnxModelFormat 
      * @description An enumeration. 
      * @enum {string}
      */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
+    StableDiffusionOnnxModelFormat: "olive" | "onnx";
     /**
      * StableDiffusion2ModelFormat 
      * @description An enumeration. 
@@ -6031,7 +6031,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
+        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
       };
     };
     responses: {
@@ -6068,7 +6068,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
+        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
       };
     };
     responses: {
diff --git a/invokeai/frontend/web/src/services/api/types.d.ts b/invokeai/frontend/web/src/services/api/types.d.ts
index 14705c9525..2ee508fe48 100644
--- a/invokeai/frontend/web/src/services/api/types.d.ts
+++ b/invokeai/frontend/web/src/services/api/types.d.ts
@@ -59,9 +59,9 @@ export type DiffusersModelConfig =
 export type CheckpointModelConfig =
   | components['schemas']['StableDiffusion1ModelCheckpointConfig']
   | components['schemas']['StableDiffusion2ModelCheckpointConfig']
-  | components['schemas']['StableDiffusion2ModelDiffusersConfig'];
-export type OnnxModelConfig = components['schemas']['ONNXStableDiffusion1ModelConfig']
   | components['schemas']['StableDiffusionXLModelCheckpointConfig'];
+export type OnnxModelConfig =
+  components['schemas']['ONNXStableDiffusion1ModelConfig'];
 export type MainModelConfig = DiffusersModelConfig | CheckpointModelConfig;
 export type AnyModelConfig =
   | LoRAModelConfig
@@ -116,6 +116,9 @@ export type NoiseInvocation = TypeReq<components['schemas']['NoiseInvocation']>;
 export type TextToLatentsInvocation = TypeReq<
   components['schemas']['TextToLatentsInvocation']
 >;
+export type ONNXTextToLatentsInvocation = TypeReq<
+  components['schemas']['ONNXTextToLatentsInvocation']
+>;
 export type LatentsToLatentsInvocation = TypeReq<
   components['schemas']['LatentsToLatentsInvocation']
 >;

From 41d6a38690f6c93d481183787f001211313c705a Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Tue, 1 Aug 2023 21:29:16 +1000
Subject: [PATCH 017/287] Update lint-frontend.yml

The action should run on every PR. We can make this more efficient in the future.
---
 .github/workflows/lint-frontend.yml | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/.github/workflows/lint-frontend.yml b/.github/workflows/lint-frontend.yml
index 1403396359..de1e8866b2 100644
--- a/.github/workflows/lint-frontend.yml
+++ b/.github/workflows/lint-frontend.yml
@@ -2,8 +2,6 @@ name: Lint frontend
 
 on:
   pull_request:
-    paths:
-      - 'invokeai/frontend/web/**'
     types:
       - 'ready_for_review'
       - 'opened'
@@ -11,8 +9,6 @@ on:
   push:
     branches:
       - 'main'
-    paths:
-      - 'invokeai/frontend/web/**'
   merge_group:
   workflow_dispatch:
 

From ce687b28efd829c2e4ce66da657ae20dd5509645 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Mon, 31 Jul 2023 12:51:30 +1200
Subject: [PATCH 018/287] fix: Model Manager Tab Issues

---
 .../subpanels/ModelManagerPanel/ModelList.tsx | 131 +++++++++++++-----
 1 file changed, 98 insertions(+), 33 deletions(-)

diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx
index 3f100d9072..f29b9c1086 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx
@@ -1,4 +1,4 @@
-import { ButtonGroup, Flex, Text } from '@chakra-ui/react';
+import { ButtonGroup, Flex, Spinner, Text } from '@chakra-ui/react';
 import { EntityState } from '@reduxjs/toolkit';
 import IAIButton from 'common/components/IAIButton';
 import IAIInput from 'common/components/IAIInput';
@@ -6,23 +6,23 @@ import { forEach } from 'lodash-es';
 import type { ChangeEvent, PropsWithChildren } from 'react';
 import { useCallback, useState } from 'react';
 import { useTranslation } from 'react-i18next';
+import { ALL_BASE_MODELS } from 'services/api/constants';
 import {
+  LoRAModelConfigEntity,
   MainModelConfigEntity,
   OnnxModelConfigEntity,
+  useGetLoRAModelsQuery,
   useGetMainModelsQuery,
   useGetOnnxModelsQuery,
-  useGetLoRAModelsQuery,
-  LoRAModelConfigEntity,
 } from 'services/api/endpoints/models';
 import ModelListItem from './ModelListItem';
-import { ALL_BASE_MODELS } from 'services/api/constants';
 
 type ModelListProps = {
   selectedModelId: string | undefined;
   setSelectedModelId: (name: string | undefined) => void;
 };
 
-type ModelFormat = 'images' | 'checkpoint' | 'diffusers' | 'olive' | 'onnx';
+type ModelFormat = 'all' | 'checkpoint' | 'diffusers' | 'olive' | 'onnx';
 
 type ModelType = 'main' | 'lora' | 'onnx';
 
@@ -33,35 +33,43 @@ const ModelList = (props: ModelListProps) => {
   const { t } = useTranslation();
   const [nameFilter, setNameFilter] = useState<string>('');
   const [modelFormatFilter, setModelFormatFilter] =
-    useState<CombinedModelFormat>('images');
+    useState<CombinedModelFormat>('all');
 
-  const { filteredDiffusersModels } = useGetMainModelsQuery(ALL_BASE_MODELS, {
-    selectFromResult: ({ data }) => ({
-      filteredDiffusersModels: modelsFilter(
-        data,
-        'main',
-        'diffusers',
-        nameFilter
-      ),
-    }),
-  });
+  const { filteredDiffusersModels, isDiffusersModelLoading } =
+    useGetMainModelsQuery(ALL_BASE_MODELS, {
+      selectFromResult: ({ data, isLoading }) => ({
+        filteredDiffusersModels: modelsFilter(
+          data,
+          'main',
+          'diffusers',
+          nameFilter
+        ),
+        isDiffusersModelLoading: isLoading,
+      }),
+    });
 
-  const { filteredCheckpointModels } = useGetMainModelsQuery(ALL_BASE_MODELS, {
-    selectFromResult: ({ data }) => ({
-      filteredCheckpointModels: modelsFilter(
-        data,
-        'main',
-        'checkpoint',
-        nameFilter
-      ),
-    }),
-  });
+  const { filteredCheckpointModels, isCheckpointModelLoading } =
+    useGetMainModelsQuery(ALL_BASE_MODELS, {
+      selectFromResult: ({ data, isLoading }) => ({
+        filteredCheckpointModels: modelsFilter(
+          data,
+          'main',
+          'checkpoint',
+          nameFilter
+        ),
+        isCheckpointModelLoading: isLoading,
+      }),
+    });
 
-  const { filteredLoraModels } = useGetLoRAModelsQuery(undefined, {
-    selectFromResult: ({ data }) => ({
-      filteredLoraModels: modelsFilter(data, 'lora', undefined, nameFilter),
-    }),
-  });
+  const { filteredLoraModels, isLoadingLoraModels } = useGetLoRAModelsQuery(
+    undefined,
+    {
+      selectFromResult: ({ data, isLoading }) => ({
+        filteredLoraModels: modelsFilter(data, 'lora', undefined, nameFilter),
+        isLoadingLoraModels: isLoading,
+      }),
+    }
+  );
 
   const { filteredOnnxModels } = useGetOnnxModelsQuery(ALL_BASE_MODELS, {
     selectFromResult: ({ data }) => ({
@@ -79,13 +87,47 @@ const ModelList = (props: ModelListProps) => {
     setNameFilter(e.target.value);
   }, []);
 
+  const renderModelList = (
+    filterArray: Partial<CombinedModelFormat>[],
+    isLoading: boolean,
+    loadingMessage: string,
+    title: string,
+    modelList: MainModelConfigEntity[] | LoRAModelConfigEntity[]
+  ) => {
+    if (!filterArray.includes(modelFormatFilter)) return;
+
+    if (isLoading) {
+      return <FetchingModelsLoader loadingMessage={loadingMessage} />;
+    }
+
+    if (modelList.length === 0) return;
+
+    return (
+      <StyledModelContainer>
+        <Flex sx={{ gap: 2, flexDir: 'column' }}>
+          <Text variant="subtext" fontSize="sm">
+            {title}
+          </Text>
+          {modelList.map((model) => (
+            <ModelListItem
+              key={model.id}
+              model={model}
+              isSelected={selectedModelId === model.id}
+              setSelectedModelId={setSelectedModelId}
+            />
+          ))}
+        </Flex>
+      </StyledModelContainer>
+    );
+  };
+
   return (
     <Flex flexDirection="column" rowGap={4} width="50%" minWidth="50%">
       <Flex flexDirection="column" gap={4} paddingInlineEnd={4}>
         <ButtonGroup isAttached>
           <IAIButton
-            onClick={() => setModelFormatFilter('images')}
-            isChecked={modelFormatFilter === 'images'}
+            onClick={() => setModelFormatFilter('all')}
+            isChecked={modelFormatFilter === 'all'}
             size="sm"
           >
             {t('modelManager.allModels')}
@@ -287,3 +329,26 @@ const StyledModelContainer = (props: PropsWithChildren) => {
     </Flex>
   );
 };
+
+const FetchingModelsLoader = ({
+  loadingMessage,
+}: {
+  loadingMessage?: string;
+}) => {
+  return (
+    <StyledModelContainer>
+      <Flex
+        justifyContent="center"
+        alignItems="center"
+        flexDirection="column"
+        p={4}
+        gap={8}
+      >
+        <Spinner />
+        <Text variant="subtext">
+          {loadingMessage ? loadingMessage : 'Fetching...'}
+        </Text>
+      </Flex>
+    </StyledModelContainer>
+  );
+};

From f40466983150669b9767a1d9b87c70dbb669fea0 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Mon, 31 Jul 2023 15:02:12 +1200
Subject: [PATCH 019/287] fix: Rename loading vars for consistency

---
 .../subpanels/ModelManagerPanel/ModelList.tsx             | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx
index f29b9c1086..7a67a6b1ef 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx
@@ -35,7 +35,7 @@ const ModelList = (props: ModelListProps) => {
   const [modelFormatFilter, setModelFormatFilter] =
     useState<CombinedModelFormat>('all');
 
-  const { filteredDiffusersModels, isDiffusersModelLoading } =
+  const { filteredDiffusersModels, isLoadingDiffusersModels } =
     useGetMainModelsQuery(ALL_BASE_MODELS, {
       selectFromResult: ({ data, isLoading }) => ({
         filteredDiffusersModels: modelsFilter(
@@ -44,11 +44,11 @@ const ModelList = (props: ModelListProps) => {
           'diffusers',
           nameFilter
         ),
-        isDiffusersModelLoading: isLoading,
+        isLoadingDiffusersModels: isLoading,
       }),
     });
 
-  const { filteredCheckpointModels, isCheckpointModelLoading } =
+  const { filteredCheckpointModels, isLoadingCheckpointModels } =
     useGetMainModelsQuery(ALL_BASE_MODELS, {
       selectFromResult: ({ data, isLoading }) => ({
         filteredCheckpointModels: modelsFilter(
@@ -57,7 +57,7 @@ const ModelList = (props: ModelListProps) => {
           'checkpoint',
           nameFilter
         ),
-        isCheckpointModelLoading: isLoading,
+        isLoadingCheckpointModels: isLoading,
       }),
     });
 

From dcc274a2b9f5a52f4cd6e0a23fff009fefa96e11 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Mon, 31 Jul 2023 23:09:00 +1200
Subject: [PATCH 020/287] feat: Make ModelListWrapper instead of rendering
 conditionally

---
 .../subpanels/ModelManagerPanel/ModelList.tsx | 249 ++++++++----------
 .../web/src/services/api/endpoints/models.ts  |   9 +-
 2 files changed, 123 insertions(+), 135 deletions(-)

diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx
index 7a67a6b1ef..44626c04c3 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelList.tsx
@@ -71,56 +71,30 @@ const ModelList = (props: ModelListProps) => {
     }
   );
 
-  const { filteredOnnxModels } = useGetOnnxModelsQuery(ALL_BASE_MODELS, {
-    selectFromResult: ({ data }) => ({
-      filteredOnnxModels: modelsFilter(data, 'onnx', 'onnx', nameFilter),
-    }),
-  });
+  const { filteredOnnxModels, isLoadingOnnxModels } = useGetOnnxModelsQuery(
+    ALL_BASE_MODELS,
+    {
+      selectFromResult: ({ data, isLoading }) => ({
+        filteredOnnxModels: modelsFilter(data, 'onnx', 'onnx', nameFilter),
+        isLoadingOnnxModels: isLoading,
+      }),
+    }
+  );
 
-  const { filteredOliveModels } = useGetOnnxModelsQuery(ALL_BASE_MODELS, {
-    selectFromResult: ({ data }) => ({
-      filteredOliveModels: modelsFilter(data, 'onnx', 'olive', nameFilter),
-    }),
-  });
+  const { filteredOliveModels, isLoadingOliveModels } = useGetOnnxModelsQuery(
+    ALL_BASE_MODELS,
+    {
+      selectFromResult: ({ data, isLoading }) => ({
+        filteredOliveModels: modelsFilter(data, 'onnx', 'olive', nameFilter),
+        isLoadingOliveModels: isLoading,
+      }),
+    }
+  );
 
   const handleSearchFilter = useCallback((e: ChangeEvent<HTMLInputElement>) => {
     setNameFilter(e.target.value);
   }, []);
 
-  const renderModelList = (
-    filterArray: Partial<CombinedModelFormat>[],
-    isLoading: boolean,
-    loadingMessage: string,
-    title: string,
-    modelList: MainModelConfigEntity[] | LoRAModelConfigEntity[]
-  ) => {
-    if (!filterArray.includes(modelFormatFilter)) return;
-
-    if (isLoading) {
-      return <FetchingModelsLoader loadingMessage={loadingMessage} />;
-    }
-
-    if (modelList.length === 0) return;
-
-    return (
-      <StyledModelContainer>
-        <Flex sx={{ gap: 2, flexDir: 'column' }}>
-          <Text variant="subtext" fontSize="sm">
-            {title}
-          </Text>
-          {modelList.map((model) => (
-            <ModelListItem
-              key={model.id}
-              model={model}
-              isSelected={selectedModelId === model.id}
-              setSelectedModelId={setSelectedModelId}
-            />
-          ))}
-        </Flex>
-      </StyledModelContainer>
-    );
-  };
-
   return (
     <Flex flexDirection="column" rowGap={4} width="50%" minWidth="50%">
       <Flex flexDirection="column" gap={4} paddingInlineEnd={4}>
@@ -181,95 +155,76 @@ const ModelList = (props: ModelListProps) => {
           maxHeight={window.innerHeight - 280}
           overflow="scroll"
         >
-          {['images', 'diffusers'].includes(modelFormatFilter) &&
+          {/* Diffusers List */}
+          {isLoadingDiffusersModels && (
+            <FetchingModelsLoader loadingMessage="Loading Diffusers..." />
+          )}
+          {['all', 'diffusers'].includes(modelFormatFilter) &&
+            !isLoadingDiffusersModels &&
             filteredDiffusersModels.length > 0 && (
-              <StyledModelContainer>
-                <Flex sx={{ gap: 2, flexDir: 'column' }}>
-                  <Text variant="subtext" fontSize="sm">
-                    Diffusers
-                  </Text>
-                  {filteredDiffusersModels.map((model) => (
-                    <ModelListItem
-                      key={model.id}
-                      model={model}
-                      isSelected={selectedModelId === model.id}
-                      setSelectedModelId={setSelectedModelId}
-                    />
-                  ))}
-                </Flex>
-              </StyledModelContainer>
+              <ModelListWrapper
+                title="Diffusers"
+                modelList={filteredDiffusersModels}
+                selected={{ selectedModelId, setSelectedModelId }}
+                key="diffusers"
+              />
             )}
-          {['images', 'checkpoint'].includes(modelFormatFilter) &&
+          {/* Checkpoints List */}
+          {isLoadingCheckpointModels && (
+            <FetchingModelsLoader loadingMessage="Loading Checkpoints..." />
+          )}
+          {['all', 'checkpoint'].includes(modelFormatFilter) &&
+            !isLoadingCheckpointModels &&
             filteredCheckpointModels.length > 0 && (
-              <StyledModelContainer>
-                <Flex sx={{ gap: 2, flexDir: 'column' }}>
-                  <Text variant="subtext" fontSize="sm">
-                    Checkpoints
-                  </Text>
-                  {filteredCheckpointModels.map((model) => (
-                    <ModelListItem
-                      key={model.id}
-                      model={model}
-                      isSelected={selectedModelId === model.id}
-                      setSelectedModelId={setSelectedModelId}
-                    />
-                  ))}
-                </Flex>
-              </StyledModelContainer>
+              <ModelListWrapper
+                title="Checkpoints"
+                modelList={filteredCheckpointModels}
+                selected={{ selectedModelId, setSelectedModelId }}
+                key="checkpoints"
+              />
             )}
-          {['images', 'olive'].includes(modelFormatFilter) &&
-            filteredOliveModels.length > 0 && (
-              <StyledModelContainer>
-                <Flex sx={{ gap: 2, flexDir: 'column' }}>
-                  <Text variant="subtext" fontSize="sm">
-                    Olives
-                  </Text>
-                  {filteredOliveModels.map((model) => (
-                    <ModelListItem
-                      key={model.id}
-                      model={model}
-                      isSelected={selectedModelId === model.id}
-                      setSelectedModelId={setSelectedModelId}
-                    />
-                  ))}
-                </Flex>
-              </StyledModelContainer>
-            )}
-          {['images', 'onnx'].includes(modelFormatFilter) &&
-            filteredOnnxModels.length > 0 && (
-              <StyledModelContainer>
-                <Flex sx={{ gap: 2, flexDir: 'column' }}>
-                  <Text variant="subtext" fontSize="sm">
-                    Onnx
-                  </Text>
-                  {filteredOnnxModels.map((model) => (
-                    <ModelListItem
-                      key={model.id}
-                      model={model}
-                      isSelected={selectedModelId === model.id}
-                      setSelectedModelId={setSelectedModelId}
-                    />
-                  ))}
-                </Flex>
-              </StyledModelContainer>
-            )}
-          {['images', 'lora'].includes(modelFormatFilter) &&
+
+          {/* LoRAs List */}
+          {isLoadingLoraModels && (
+            <FetchingModelsLoader loadingMessage="Loading LoRAs..." />
+          )}
+          {['all', 'lora'].includes(modelFormatFilter) &&
+            !isLoadingLoraModels &&
             filteredLoraModels.length > 0 && (
-              <StyledModelContainer>
-                <Flex sx={{ gap: 2, flexDir: 'column' }}>
-                  <Text variant="subtext" fontSize="sm">
-                    LoRAs
-                  </Text>
-                  {filteredLoraModels.map((model) => (
-                    <ModelListItem
-                      key={model.id}
-                      model={model}
-                      isSelected={selectedModelId === model.id}
-                      setSelectedModelId={setSelectedModelId}
-                    />
-                  ))}
-                </Flex>
-              </StyledModelContainer>
+              <ModelListWrapper
+                title="LoRAs"
+                modelList={filteredLoraModels}
+                selected={{ selectedModelId, setSelectedModelId }}
+                key="loras"
+              />
+            )}
+          {/* Olive List */}
+          {isLoadingOliveModels && (
+            <FetchingModelsLoader loadingMessage="Loading Olives..." />
+          )}
+          {['all', 'olive'].includes(modelFormatFilter) &&
+            !isLoadingOliveModels &&
+            filteredOliveModels.length > 0 && (
+              <ModelListWrapper
+                title="Olives"
+                modelList={filteredOliveModels}
+                selected={{ selectedModelId, setSelectedModelId }}
+                key="olive"
+              />
+            )}
+          {/* Onnx List */}
+          {isLoadingOnnxModels && (
+            <FetchingModelsLoader loadingMessage="Loading ONNX..." />
+          )}
+          {['all', 'onnx'].includes(modelFormatFilter) &&
+            !isLoadingOnnxModels &&
+            filteredOnnxModels.length > 0 && (
+              <ModelListWrapper
+                title="ONNX"
+                modelList={filteredOnnxModels}
+                selected={{ selectedModelId, setSelectedModelId }}
+                key="onnx"
+              />
             )}
         </Flex>
       </Flex>
@@ -330,11 +285,37 @@ const StyledModelContainer = (props: PropsWithChildren) => {
   );
 };
 
-const FetchingModelsLoader = ({
-  loadingMessage,
-}: {
-  loadingMessage?: string;
-}) => {
+type ModelListWrapperProps = {
+  title: string;
+  modelList:
+    | MainModelConfigEntity[]
+    | LoRAModelConfigEntity[]
+    | OnnxModelConfigEntity[];
+  selected: ModelListProps;
+};
+
+function ModelListWrapper(props: ModelListWrapperProps) {
+  const { title, modelList, selected } = props;
+  return (
+    <StyledModelContainer>
+      <Flex sx={{ gap: 2, flexDir: 'column' }}>
+        <Text variant="subtext" fontSize="sm">
+          {title}
+        </Text>
+        {modelList.map((model) => (
+          <ModelListItem
+            key={model.id}
+            model={model}
+            isSelected={selected.selectedModelId === model.id}
+            setSelectedModelId={selected.setSelectedModelId}
+          />
+        ))}
+      </Flex>
+    </StyledModelContainer>
+  );
+}
+
+function FetchingModelsLoader({ loadingMessage }: { loadingMessage?: string }) {
   return (
     <StyledModelContainer>
       <Flex
@@ -351,4 +332,4 @@ const FetchingModelsLoader = ({
       </Flex>
     </StyledModelContainer>
   );
-};
+}
diff --git a/invokeai/frontend/web/src/services/api/endpoints/models.ts b/invokeai/frontend/web/src/services/api/endpoints/models.ts
index e994d3fd3a..a7b1323f36 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/models.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/models.ts
@@ -181,7 +181,7 @@ export const modelsApi = api.injectEndpoints({
       },
       providesTags: (result, error, arg) => {
         const tags: ApiFullTagDescription[] = [
-          { id: 'OnnxModel', type: LIST_TAG },
+          { type: 'OnnxModel', id: LIST_TAG },
         ];
 
         if (result) {
@@ -266,6 +266,7 @@ export const modelsApi = api.injectEndpoints({
       invalidatesTags: [
         { type: 'MainModel', id: LIST_TAG },
         { type: 'SDXLRefinerModel', id: LIST_TAG },
+        { type: 'OnnxModel', id: LIST_TAG },
       ],
     }),
     importMainModels: build.mutation<
@@ -282,6 +283,7 @@ export const modelsApi = api.injectEndpoints({
       invalidatesTags: [
         { type: 'MainModel', id: LIST_TAG },
         { type: 'SDXLRefinerModel', id: LIST_TAG },
+        { type: 'OnnxModel', id: LIST_TAG },
       ],
     }),
     addMainModels: build.mutation<AddMainModelResponse, AddMainModelArg>({
@@ -295,6 +297,7 @@ export const modelsApi = api.injectEndpoints({
       invalidatesTags: [
         { type: 'MainModel', id: LIST_TAG },
         { type: 'SDXLRefinerModel', id: LIST_TAG },
+        { type: 'OnnxModel', id: LIST_TAG },
       ],
     }),
     deleteMainModels: build.mutation<
@@ -310,6 +313,7 @@ export const modelsApi = api.injectEndpoints({
       invalidatesTags: [
         { type: 'MainModel', id: LIST_TAG },
         { type: 'SDXLRefinerModel', id: LIST_TAG },
+        { type: 'OnnxModel', id: LIST_TAG },
       ],
     }),
     convertMainModels: build.mutation<
@@ -326,6 +330,7 @@ export const modelsApi = api.injectEndpoints({
       invalidatesTags: [
         { type: 'MainModel', id: LIST_TAG },
         { type: 'SDXLRefinerModel', id: LIST_TAG },
+        { type: 'OnnxModel', id: LIST_TAG },
       ],
     }),
     mergeMainModels: build.mutation<MergeMainModelResponse, MergeMainModelArg>({
@@ -339,6 +344,7 @@ export const modelsApi = api.injectEndpoints({
       invalidatesTags: [
         { type: 'MainModel', id: LIST_TAG },
         { type: 'SDXLRefinerModel', id: LIST_TAG },
+        { type: 'OnnxModel', id: LIST_TAG },
       ],
     }),
     syncModels: build.mutation<SyncModelsResponse, void>({
@@ -351,6 +357,7 @@ export const modelsApi = api.injectEndpoints({
       invalidatesTags: [
         { type: 'MainModel', id: LIST_TAG },
         { type: 'SDXLRefinerModel', id: LIST_TAG },
+        { type: 'OnnxModel', id: LIST_TAG },
       ],
     }),
     getLoRAModels: build.query<EntityState<LoRAModelConfigEntity>, void>({

From 403a6e88f204a1ebdede0971bbde0b845028a8ed Mon Sep 17 00:00:00 2001
From: Alexandre Macabies <web+oss@zopieux.com>
Date: Tue, 1 Aug 2023 15:22:59 +0200
Subject: [PATCH 021/287] fix: flake: add opencv with CUDA, new patchmatch
 dependency.

---
 flake.nix | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/flake.nix b/flake.nix
index 1f35c02c6e..3ccc665812 100644
--- a/flake.nix
+++ b/flake.nix
@@ -34,6 +34,10 @@
             cudaPackages.cudnn
             cudaPackages.cuda_nvrtc
             cudatoolkit
+            pkgconfig
+            libconfig
+            cmake
+            blas
             freeglut
             glib
             gperf
@@ -42,6 +46,12 @@
             libGLU
             linuxPackages.nvidia_x11
             python
+            (opencv4.override {
+              enableGtk3 = true;
+              enableFfmpeg = true;
+              enableCuda = true;
+              enableUnfree = true;
+            })
             stdenv.cc
             stdenv.cc.cc.lib
             xorg.libX11

From fd7b84241988a57d7b9dae24798cc0bb475dd92c Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Tue, 1 Aug 2023 17:44:09 -0400
Subject: [PATCH 022/287] add execution stat reporting after each invocation

---
 invokeai/app/services/invocation_stats.py | 115 ++++++++++++++++++++++
 invokeai/app/services/processor.py        |  43 ++++----
 2 files changed, 139 insertions(+), 19 deletions(-)
 create mode 100644 invokeai/app/services/invocation_stats.py

diff --git a/invokeai/app/services/invocation_stats.py b/invokeai/app/services/invocation_stats.py
new file mode 100644
index 0000000000..8d41b60d49
--- /dev/null
+++ b/invokeai/app/services/invocation_stats.py
@@ -0,0 +1,115 @@
+# Copyright 2023 Lincoln D. Stein <lincoln.stein@gmail.com>
+"""Utility to collect execution time and GPU usage stats on invocations in flight"""
+
+"""
+Usage:
+statistics = InvocationStats()  # keep track of performance metrics
+...
+with statistics.collect_stats(invocation, graph_execution_state):
+    outputs = invocation.invoke(
+                                InvocationContext(
+                                services=self.__invoker.services,
+                                graph_execution_state_id=graph_execution_state.id,
+                            )
+                        )
+...
+statistics.log_stats()
+
+Typical output:
+[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> Node                 Calls   Seconds
+[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> main_model_loader        1   0.006s
+[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> clip_skip                1   0.005s
+[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> compel                   2   0.351s
+[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> rand_int                 1   0.001s
+[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> range_of_size            1   0.001s
+[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> iterate                  1   0.001s
+[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> metadata_accumulator     1   0.002s
+[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> noise                    1   0.002s
+[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> t2l                      1   3.117s
+[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> l2i                      1   0.377s
+[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> TOTAL: 3.865s
+[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> Max VRAM used for execution: 3.12G.
+[2023-08-01 17:34:44,586]::[InvokeAI]::INFO --> Current VRAM utilization 2.31G.
+"""
+
+import time
+from typing import Dict, List
+
+import torch
+
+from .graph import GraphExecutionState
+from .invocation_queue import InvocationQueueItem
+from ..invocations.baseinvocation import BaseInvocation
+
+import invokeai.backend.util.logging as logger
+
+class InvocationStats():
+    """Accumulate performance information about a running graph. Collects time spent in each node,
+    as well as the maximum and current VRAM utilisation for CUDA systems"""
+
+    def __init__(self):
+        self._stats: Dict[str, int] = {}
+        
+    class StatsContext():
+        def __init__(self, invocation: BaseInvocation, collector):
+            self.invocation = invocation
+            self.collector = collector
+            self.start_time = 0
+
+        def __enter__(self):
+            self.start_time = time.time()
+
+        def __exit__(self, *args):
+            self.collector.log_time(self.invocation.type, time.time() - self.start_time)
+    
+    def collect_stats(self,
+                      invocation: BaseInvocation,
+                      graph_execution_state: GraphExecutionState,
+                      ) -> StatsContext:
+        """
+        Return a context object that will capture the statistics.
+        :param invocation: BaseInvocation object from the current graph.
+        :param graph_execution_state: GraphExecutionState object from the current session.
+        """
+        if len(graph_execution_state.executed)==0:  # new graph is starting
+            self.reset_stats()
+        self._current_graph_state = graph_execution_state
+        sc = self.StatsContext(invocation, self)
+        return self.StatsContext(invocation, self)
+
+    def reset_stats(self):
+        """Zero the statistics. Ordinarily called internally."""
+        if torch.cuda.is_available():
+            torch.cuda.reset_peak_memory_stats()
+        self._stats: Dict[str, List[int, float]] = {}
+
+
+    def log_time(self, invocation_type: str, time_used: float):
+        """
+        Add timing information on execution of a node. Usually
+        used internally.
+        :param invocation_type: String literal type of the node
+        :param time_used: Floating point seconds used by node's exection
+        """
+        if not self._stats.get(invocation_type):
+            self._stats[invocation_type] = [0, 0.0]
+        self._stats[invocation_type][0] += 1
+        self._stats[invocation_type][1] += time_used
+    
+    def log_stats(self):
+        """
+        Send the statistics to the system logger at the info level.
+        Stats will only be printed if when the execution of the graph
+        is complete.
+        """
+        if self._current_graph_state.is_complete():
+            logger.info('Node                 Calls   Seconds')
+            for node_type, (calls, time_used) in self._stats.items():
+                logger.info(f'{node_type:<20} {calls:>5}   {time_used:4.3f}s')
+                
+            total_time = sum([ticks for _,ticks in self._stats.values()])
+            logger.info(f'TOTAL: {total_time:4.3f}s')
+            if torch.cuda.is_available():
+                logger.info('Max VRAM used for execution: '+'%4.2fG' % (torch.cuda.max_memory_allocated() / 1e9))
+                logger.info('Current VRAM utilization '+'%4.2fG' % (torch.cuda.memory_allocated() / 1e9))
+                
diff --git a/invokeai/app/services/processor.py b/invokeai/app/services/processor.py
index 50fe217e05..a43e2878ac 100644
--- a/invokeai/app/services/processor.py
+++ b/invokeai/app/services/processor.py
@@ -5,6 +5,7 @@ from threading import Event, Thread, BoundedSemaphore
 from ..invocations.baseinvocation import InvocationContext
 from .invocation_queue import InvocationQueueItem
 from .invoker import InvocationProcessorABC, Invoker
+from .invocation_stats import InvocationStats
 from ..models.exceptions import CanceledException
 
 import invokeai.backend.util.logging as logger
@@ -35,6 +36,7 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
     def __process(self, stop_event: Event):
         try:
             self.__threadLimit.acquire()
+            statistics = InvocationStats()  # keep track of performance metrics
             while not stop_event.is_set():
                 try:
                     queue_item: InvocationQueueItem = self.__invoker.services.queue.get()
@@ -83,30 +85,32 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
 
                 # Invoke
                 try:
-                    outputs = invocation.invoke(
-                        InvocationContext(
-                            services=self.__invoker.services,
-                            graph_execution_state_id=graph_execution_state.id,
+                    with statistics.collect_stats(invocation, graph_execution_state):
+                        outputs = invocation.invoke(
+                            InvocationContext(
+                                services=self.__invoker.services,
+                                graph_execution_state_id=graph_execution_state.id,
+                            )
                         )
-                    )
 
-                    # Check queue to see if this is canceled, and skip if so
-                    if self.__invoker.services.queue.is_canceled(graph_execution_state.id):
-                        continue
+                        # Check queue to see if this is canceled, and skip if so
+                        if self.__invoker.services.queue.is_canceled(graph_execution_state.id):
+                            continue
 
-                    # Save outputs and history
-                    graph_execution_state.complete(invocation.id, outputs)
+                        # Save outputs and history
+                        graph_execution_state.complete(invocation.id, outputs)
 
-                    # Save the state changes
-                    self.__invoker.services.graph_execution_manager.set(graph_execution_state)
+                        # Save the state changes
+                        self.__invoker.services.graph_execution_manager.set(graph_execution_state)
 
-                    # Send complete event
-                    self.__invoker.services.events.emit_invocation_complete(
-                        graph_execution_state_id=graph_execution_state.id,
-                        node=invocation.dict(),
-                        source_node_id=source_node_id,
-                        result=outputs.dict(),
-                    )
+                        # Send complete event
+                        self.__invoker.services.events.emit_invocation_complete(
+                            graph_execution_state_id=graph_execution_state.id,
+                            node=invocation.dict(),
+                            source_node_id=source_node_id,
+                            result=outputs.dict(),
+                        )
+                    statistics.log_stats()
 
                 except KeyboardInterrupt:
                     pass
@@ -161,3 +165,4 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
             pass  # Log something? KeyboardInterrupt is probably not going to be seen by the processor
         finally:
             self.__threadLimit.release()
+

From 11a44b944d942b85d493c7e90f3837ee736d894f Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Tue, 1 Aug 2023 01:29:29 -0400
Subject: [PATCH 023/287] fix installation documentation

---
 README.md                               | 13 ++++---------
 docs/installation/020_INSTALL_MANUAL.md | 16 +++++++++-------
 2 files changed, 13 insertions(+), 16 deletions(-)

diff --git a/README.md b/README.md
index 3ca1ca1f26..2efaacd031 100644
--- a/README.md
+++ b/README.md
@@ -184,8 +184,9 @@ the command `npm install -g yarn` if needed)
 6. Configure InvokeAI and install a starting set of image generation models (you only need to do this once):
 
     ```terminal
-    invokeai-configure
+    invokeai-configure --root .
     ```
+	Don't miss the dot at the end!
 
 7. Launch the web server (do it every time you run InvokeAI):
 
@@ -193,15 +194,9 @@ the command `npm install -g yarn` if needed)
     invokeai-web
     ```
 
-8. Build Node.js assets
+8. Point your browser to http://localhost:9090 to bring up the web interface.
 
-  ```terminal
-  cd invokeai/frontend/web/
-  yarn vite build
-  ```
-
-9. Point your browser to http://localhost:9090 to bring up the web interface.
-10. Type `banana sushi` in the box on the top left and click `Invoke`.
+9. Type `banana sushi` in the box on the top left and click `Invoke`.
 
 Be sure to activate the virtual environment each time before re-launching InvokeAI,
 using `source .venv/bin/activate` or `.venv\Scripts\activate`.
diff --git a/docs/installation/020_INSTALL_MANUAL.md b/docs/installation/020_INSTALL_MANUAL.md
index c0fb4c046f..84f19da9bf 100644
--- a/docs/installation/020_INSTALL_MANUAL.md
+++ b/docs/installation/020_INSTALL_MANUAL.md
@@ -192,8 +192,10 @@ manager, please follow these steps:
     your outputs.
 
     ```terminal
-    invokeai-configure
+    invokeai-configure --root .
     ```
+	
+	Don't miss the dot at the end of the command!
 
     The script `invokeai-configure` will interactively guide you through the
     process of downloading and installing the weights files needed for InvokeAI.
@@ -225,12 +227,6 @@ manager, please follow these steps:
 
         !!! warning "Make sure that the virtual environment is activated, which should create `(.venv)` in front of your prompt!"
 
-        === "CLI"
-
-            ```bash
-            invokeai
-            ```
-
         === "local Webserver"
 
             ```bash
@@ -243,6 +239,12 @@ manager, please follow these steps:
             invokeai --web --host 0.0.0.0
             ```
 
+        === "CLI"
+
+            ```bash
+            invokeai
+            ```
+
         If you choose the run the web interface, point your browser at
         http://localhost:9090 in order to load the GUI.
 

From 242d860a472e92d132869f7d8951f43d1298df94 Mon Sep 17 00:00:00 2001
From: Zerdoumi <3418725+sohelzerdoumi@users.noreply.github.com>
Date: Tue, 1 Aug 2023 15:57:13 +0200
Subject: [PATCH 024/287] fix https/wss behind reverse proxy

---
 invokeai/frontend/web/src/services/events/middleware.ts | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/invokeai/frontend/web/src/services/events/middleware.ts b/invokeai/frontend/web/src/services/events/middleware.ts
index 0c3b275274..75f2d48de8 100644
--- a/invokeai/frontend/web/src/services/events/middleware.ts
+++ b/invokeai/frontend/web/src/services/events/middleware.ts
@@ -12,8 +12,9 @@ import { socketSubscribed, socketUnsubscribed } from './actions';
 
 export const socketMiddleware = () => {
   let areListenersSet = false;
-
-  let socketUrl = `ws://${window.location.host}`;
+  
+  let wsProtocol = window.location.protocol === 'https:' ? 'wss' : 'ws';
+  let socketUrl = `${wsProtocol}://${window.location.host}`;
 
   const socketOptions: Parameters<typeof io>[0] = {
     timeout: 60000,

From 4599575e65db2081886b6782f961ddf68359aecb Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 2 Aug 2023 00:08:34 +1000
Subject: [PATCH 025/287] fix(ui): use `const` for `wsProtocol`, lint

---
 invokeai/frontend/web/src/services/events/middleware.ts | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/frontend/web/src/services/events/middleware.ts b/invokeai/frontend/web/src/services/events/middleware.ts
index 75f2d48de8..56992be672 100644
--- a/invokeai/frontend/web/src/services/events/middleware.ts
+++ b/invokeai/frontend/web/src/services/events/middleware.ts
@@ -12,8 +12,8 @@ import { socketSubscribed, socketUnsubscribed } from './actions';
 
 export const socketMiddleware = () => {
   let areListenersSet = false;
-  
-  let wsProtocol = window.location.protocol === 'https:' ? 'wss' : 'ws';
+
+  const wsProtocol = window.location.protocol === 'https:' ? 'wss' : 'ws';
   let socketUrl = `${wsProtocol}://${window.location.host}`;
 
   const socketOptions: Parameters<typeof io>[0] = {

From 8a4e5f73aa6e914494885438a560a7d6694b6ce2 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Tue, 1 Aug 2023 19:39:42 -0400
Subject: [PATCH 026/287] reset stats on exception

---
 invokeai/app/services/invocation_stats.py | 38 +++++++++++------------
 invokeai/app/services/processor.py        |  4 +--
 2 files changed, 21 insertions(+), 21 deletions(-)

diff --git a/invokeai/app/services/invocation_stats.py b/invokeai/app/services/invocation_stats.py
index 8d41b60d49..24a5662647 100644
--- a/invokeai/app/services/invocation_stats.py
+++ b/invokeai/app/services/invocation_stats.py
@@ -43,14 +43,15 @@ from ..invocations.baseinvocation import BaseInvocation
 
 import invokeai.backend.util.logging as logger
 
-class InvocationStats():
+
+class InvocationStats:
     """Accumulate performance information about a running graph. Collects time spent in each node,
     as well as the maximum and current VRAM utilisation for CUDA systems"""
 
     def __init__(self):
         self._stats: Dict[str, int] = {}
-        
-    class StatsContext():
+
+    class StatsContext:
         def __init__(self, invocation: BaseInvocation, collector):
             self.invocation = invocation
             self.collector = collector
@@ -61,17 +62,18 @@ class InvocationStats():
 
         def __exit__(self, *args):
             self.collector.log_time(self.invocation.type, time.time() - self.start_time)
-    
-    def collect_stats(self,
-                      invocation: BaseInvocation,
-                      graph_execution_state: GraphExecutionState,
-                      ) -> StatsContext:
+
+    def collect_stats(
+        self,
+        invocation: BaseInvocation,
+        graph_execution_state: GraphExecutionState,
+    ) -> StatsContext:
         """
         Return a context object that will capture the statistics.
         :param invocation: BaseInvocation object from the current graph.
         :param graph_execution_state: GraphExecutionState object from the current session.
         """
-        if len(graph_execution_state.executed)==0:  # new graph is starting
+        if len(graph_execution_state.executed) == 0:  # new graph is starting
             self.reset_stats()
         self._current_graph_state = graph_execution_state
         sc = self.StatsContext(invocation, self)
@@ -83,7 +85,6 @@ class InvocationStats():
             torch.cuda.reset_peak_memory_stats()
         self._stats: Dict[str, List[int, float]] = {}
 
-
     def log_time(self, invocation_type: str, time_used: float):
         """
         Add timing information on execution of a node. Usually
@@ -95,7 +96,7 @@ class InvocationStats():
             self._stats[invocation_type] = [0, 0.0]
         self._stats[invocation_type][0] += 1
         self._stats[invocation_type][1] += time_used
-    
+
     def log_stats(self):
         """
         Send the statistics to the system logger at the info level.
@@ -103,13 +104,12 @@ class InvocationStats():
         is complete.
         """
         if self._current_graph_state.is_complete():
-            logger.info('Node                 Calls   Seconds')
+            logger.info("Node                 Calls   Seconds")
             for node_type, (calls, time_used) in self._stats.items():
-                logger.info(f'{node_type:<20} {calls:>5}   {time_used:4.3f}s')
-                
-            total_time = sum([ticks for _,ticks in self._stats.values()])
-            logger.info(f'TOTAL: {total_time:4.3f}s')
+                logger.info(f"{node_type:<20} {calls:>5}   {time_used:4.3f}s")
+
+            total_time = sum([ticks for _, ticks in self._stats.values()])
+            logger.info(f"TOTAL: {total_time:4.3f}s")
             if torch.cuda.is_available():
-                logger.info('Max VRAM used for execution: '+'%4.2fG' % (torch.cuda.max_memory_allocated() / 1e9))
-                logger.info('Current VRAM utilization '+'%4.2fG' % (torch.cuda.memory_allocated() / 1e9))
-                
+                logger.info("Max VRAM used for execution: " + "%4.2fG" % (torch.cuda.max_memory_allocated() / 1e9))
+                logger.info("Current VRAM utilization " + "%4.2fG" % (torch.cuda.memory_allocated() / 1e9))
diff --git a/invokeai/app/services/processor.py b/invokeai/app/services/processor.py
index a43e2878ac..e9511aa283 100644
--- a/invokeai/app/services/processor.py
+++ b/invokeai/app/services/processor.py
@@ -116,6 +116,7 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                     pass
 
                 except CanceledException:
+                    statistics.reset_stats()
                     pass
 
                 except Exception as e:
@@ -137,7 +138,7 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                         error_type=e.__class__.__name__,
                         error=error,
                     )
-
+                    statistics.reset_stats()
                     pass
 
                 # Check queue to see if this is canceled, and skip if so
@@ -165,4 +166,3 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
             pass  # Log something? KeyboardInterrupt is probably not going to be seen by the processor
         finally:
             self.__threadLimit.release()
-

From 4d22cafdad0d83523ce43b6f564d07918f4fe02a Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Tue, 1 Aug 2023 22:06:27 -0400
Subject: [PATCH 027/287] Installer should download fp16 models if user has
 specified 'auto' in config

- Closes #4127
---
 invokeai/backend/install/model_install_backend.py | 14 ++++++++++----
 1 file changed, 10 insertions(+), 4 deletions(-)

diff --git a/invokeai/backend/install/model_install_backend.py b/invokeai/backend/install/model_install_backend.py
index c0a7244367..449c234144 100644
--- a/invokeai/backend/install/model_install_backend.py
+++ b/invokeai/backend/install/model_install_backend.py
@@ -13,6 +13,7 @@ import requests
 from diffusers import DiffusionPipeline
 from diffusers import logging as dlogging
 import onnx
+import torch
 from huggingface_hub import hf_hub_url, HfFolder, HfApi
 from omegaconf import OmegaConf
 from tqdm import tqdm
@@ -23,6 +24,7 @@ from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.backend.model_management import ModelManager, ModelType, BaseModelType, ModelVariantType, AddModelResult
 from invokeai.backend.model_management.model_probe import ModelProbe, SchedulerPredictionType, ModelProbeInfo
 from invokeai.backend.util import download_with_resume
+from invokeai.backend.util.devices import torch_dtype, choose_torch_device
 from ..util.logging import InvokeAILogger
 
 warnings.filterwarnings("ignore")
@@ -416,13 +418,17 @@ class ModelInstall(object):
         does a save_pretrained() to the indicated staging area.
         """
         _, name = repo_id.split("/")
-        revisions = ["fp16", "main"] if self.config.precision == "float16" else ["main"]
+        precision = torch_dtype(choose_torch_device())
+        revisions = ["fp16", "main"] if precision == torch.float16 else ["main"]
         model = None
         for revision in revisions:
             try:
-                model = DiffusionPipeline.from_pretrained(repo_id, revision=revision, safety_checker=None)
-            except:  # most errors are due to fp16 not being present. Fix this to catch other errors
-                pass
+                model = DiffusionPipeline.from_pretrained(
+                    repo_id, revision=revision, safety_checker=None, torch_dtype=precision
+                )
+            except Exception as e:  # most errors are due to fp16 not being present. Fix this to catch other errors
+                if "fp16" not in str(e):
+                    print(e)
             if model:
                 break
         if not model:

From ed76250dbaa7ea27d0a0d06051337cace9f6a23e Mon Sep 17 00:00:00 2001
From: Brandon Rising <contact@brandonrising.com>
Date: Wed, 2 Aug 2023 07:21:21 -0400
Subject: [PATCH 028/287] Stop checking for unet/model.onnx when a
 model_index.json is detected

---
 invokeai/backend/install/model_install_backend.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/backend/install/model_install_backend.py b/invokeai/backend/install/model_install_backend.py
index c0a7244367..ac032d4955 100644
--- a/invokeai/backend/install/model_install_backend.py
+++ b/invokeai/backend/install/model_install_backend.py
@@ -303,7 +303,7 @@ class ModelInstall(object):
 
         with TemporaryDirectory(dir=self.config.models_path) as staging:
             staging = Path(staging)
-            if "model_index.json" in files and "unet/model.onnx" not in files:
+            if "model_index.json" in files:
                 location = self._download_hf_pipeline(repo_id, staging)  # pipeline
             elif "unet/model.onnx" in files:
                 location = self._download_hf_model(repo_id, files, staging)

From 77c5c18542569ed261af80efd2d89b1ea9e62ffd Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 2 Aug 2023 09:11:24 -0400
Subject: [PATCH 029/287] add slider for VRAM cache

---
 .../backend/install/invokeai_configure.py     | 38 ++++++++++++++++++-
 invokeai/frontend/install/widgets.py          |  2 +-
 2 files changed, 38 insertions(+), 2 deletions(-)

diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py
index 4bf2a484a1..9136604b14 100755
--- a/invokeai/backend/install/invokeai_configure.py
+++ b/invokeai/backend/install/invokeai_configure.py
@@ -12,10 +12,12 @@ import io
 import os
 import shutil
 import textwrap
+import torch
 import traceback
 import yaml
 import warnings
 from argparse import Namespace
+from enum import Enum
 from pathlib import Path
 from shutil import get_terminal_size
 from typing import get_type_hints
@@ -49,6 +51,7 @@ from invokeai.frontend.install.widgets import (
     CenteredButtonPress,
     FileBox,
     IntTitleSlider,
+    FloatTitleSlider,
     set_min_terminal_size,
     CyclingForm,
     MIN_COLS,
@@ -76,6 +79,9 @@ Default_config_file = config.model_conf_path
 SD_Configs = config.legacy_conf_path
 
 PRECISION_CHOICES = ["auto", "float16", "float32"]
+HAS_CUDA = torch.cuda.is_available()
+_, MAX_VRAM = torch.cuda.mem_get_info() if HAS_CUDA else (0, 0)
+MAX_VRAM /= 1073741824  # GB in bytes
 
 INIT_FILE_PREAMBLE = """# InvokeAI initialization file
 # This is the InvokeAI initialization file, which contains command-line default values.
@@ -86,6 +92,12 @@ INIT_FILE_PREAMBLE = """# InvokeAI initialization file
 logger = InvokeAILogger.getLogger()
 
 
+class DummyWidgetValue(Enum):
+    zero = 0
+    true = True
+    false = False
+
+
 # --------------------------------------------
 def postscript(errors: None):
     if not any(errors):
@@ -378,13 +390,36 @@ Use cursor arrows to make a checkbox selection, and space to toggle.
         )
         self.max_cache_size = self.add_widget_intelligent(
             IntTitleSlider,
-            name="Size of the RAM cache used for fast model switching (GB)",
+            name="RAM cache size. The larger this is, the more models can be kept in memory rather than loading from disk each time (GB)",
             value=old_opts.max_cache_size,
             out_of=20,
             lowest=3,
             begin_entry_at=6,
             scroll_exit=True,
         )
+        if HAS_CUDA:
+            self.nextrely += 1
+            self.add_widget_intelligent(
+                npyscreen.TitleFixedText,
+                name="VRAM cache size. Make this large enough to hold an entire model, but not more than half your available VRAM (GB)",
+                begin_entry_at=0,
+                editable=False,
+                color="CONTROL",
+                scroll_exit=True,
+            )
+            self.nextrely -= 1
+            self.max_vram_cache_size = self.add_widget_intelligent(
+                npyscreen.Slider,
+                value=old_opts.max_vram_cache_size,
+                out_of=round(MAX_VRAM * 2) / 2,
+                lowest=0.0,
+                relx=8,
+                step=0.25,
+                begin_entry_at=MAX_VRAM * 0.55,
+                scroll_exit=True,
+            )
+        else:
+            self.max_vram_cache_size = DummyWidgetValue.zero
         self.nextrely += 1
         self.outdir = self.add_widget_intelligent(
             FileBox,
@@ -476,6 +511,7 @@ https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/LICENS
             "outdir",
             "free_gpu_mem",
             "max_cache_size",
+            "max_vram_cache_size",
             "xformers_enabled",
             "always_use_cpu",
         ]:
diff --git a/invokeai/frontend/install/widgets.py b/invokeai/frontend/install/widgets.py
index 10da15bf13..c1481035d5 100644
--- a/invokeai/frontend/install/widgets.py
+++ b/invokeai/frontend/install/widgets.py
@@ -164,7 +164,7 @@ class FloatSlider(npyscreen.Slider):
 
 
 class FloatTitleSlider(npyscreen.TitleText):
-    _entry_type = FloatSlider
+    _entry_type = npyscreen.Slider
 
 
 class SelectColumnBase:

From 880727436c9e3b5c531bf7034c30bbd30b231579 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 2 Aug 2023 09:43:52 -0400
Subject: [PATCH 030/287] fix default vram cache size calculation

---
 invokeai/app/services/config.py                | 4 ++--
 invokeai/backend/install/invokeai_configure.py | 8 +++++---
 2 files changed, 7 insertions(+), 5 deletions(-)

diff --git a/invokeai/app/services/config.py b/invokeai/app/services/config.py
index a9a4a64f75..264a93955c 100644
--- a/invokeai/app/services/config.py
+++ b/invokeai/app/services/config.py
@@ -173,7 +173,7 @@ from typing import ClassVar, Dict, List, Set, Literal, Union, get_origin, get_ty
 INIT_FILE = Path("invokeai.yaml")
 DB_FILE = Path("invokeai.db")
 LEGACY_INIT_FILE = Path("invokeai.init")
-
+DEFAULT_MAX_VRAM = 2.75
 
 class InvokeAISettings(BaseSettings):
     """
@@ -395,7 +395,7 @@ class InvokeAIAppConfig(InvokeAISettings):
     free_gpu_mem        : bool = Field(default=False, description="If true, purge model from GPU after each generation.", category='Memory/Performance')
     max_loaded_models   : int = Field(default=3, gt=0, description="(DEPRECATED: use max_cache_size) Maximum number of models to keep in memory for rapid switching", category='DEPRECATED')
     max_cache_size      : float = Field(default=6.0, gt=0, description="Maximum memory amount used by model cache for rapid switching", category='Memory/Performance')
-    max_vram_cache_size : float = Field(default=2.75, ge=0, description="Amount of VRAM reserved for model storage", category='Memory/Performance')
+    max_vram_cache_size : float = Field(default=DEFAULT_MAX_VRAM, ge=0, description="Amount of VRAM reserved for model storage", category='Memory/Performance')
     gpu_mem_reserved    : float = Field(default=2.75, ge=0, description="DEPRECATED: use max_vram_cache_size. Amount of VRAM reserved for model storage", category='DEPRECATED')
     nsfw_checker        : bool = Field(default=True, description="DEPRECATED: use Web settings to enable/disable", category='DEPRECATED')
     precision           : Literal[tuple(['auto','float16','float32','autocast'])] = Field(default='auto',description='Floating point precision', category='Memory/Performance')
diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py
index 9136604b14..2e95993d75 100755
--- a/invokeai/backend/install/invokeai_configure.py
+++ b/invokeai/backend/install/invokeai_configure.py
@@ -82,6 +82,7 @@ PRECISION_CHOICES = ["auto", "float16", "float32"]
 HAS_CUDA = torch.cuda.is_available()
 _, MAX_VRAM = torch.cuda.mem_get_info() if HAS_CUDA else (0, 0)
 MAX_VRAM /= 1073741824  # GB in bytes
+MAX_VRAM_CACHE_RATIO = 0.55   # first guess of optimal vram cache based on total available
 
 INIT_FILE_PREAMBLE = """# InvokeAI initialization file
 # This is the InvokeAI initialization file, which contains command-line default values.
@@ -568,9 +569,11 @@ def edit_opts(program_opts: Namespace, invokeai_opts: Namespace) -> argparse.Nam
 
 def default_startup_options(init_file: Path) -> Namespace:
     opts = InvokeAIAppConfig.get_config()
+    # dynamically adust vram for memory size
+    if not init_file.exists():
+        opts.max_vram_cache_size = round((MAX_VRAM * MAX_VRAM_CACHE_RATIO)*4) / 4
     return opts
 
-
 def default_user_selections(program_opts: Namespace) -> InstallSelections:
     try:
         installer = ModelInstall(config)
@@ -628,7 +631,6 @@ def maybe_create_models_yaml(root: Path):
 
 # -------------------------------------
 def run_console_ui(program_opts: Namespace, initfile: Path = None) -> (Namespace, Namespace):
-    # parse_args() will read from init file if present
     invokeai_opts = default_startup_options(initfile)
     invokeai_opts.root = program_opts.root
 
@@ -711,7 +713,6 @@ def migrate_init_file(legacy_format: Path):
 # -------------------------------------
 def migrate_models(root: Path):
     from invokeai.backend.install.migrate_to_3 import do_migrate
-
     do_migrate(root, root)
 
 
@@ -813,6 +814,7 @@ def main():
 
         models_to_download = default_user_selections(opt)
         new_init_file = config.root_path / "invokeai.yaml"
+
         if opt.yes_to_all:
             write_default_options(opt, new_init_file)
             init_options = Namespace(precision="float32" if opt.full_precision else "float16")

From 29ac252501133dde3d2092d8b1e66e79f6de9799 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 2 Aug 2023 09:44:06 -0400
Subject: [PATCH 031/287] blackify

---
 invokeai/app/services/config.py                | 1 +
 invokeai/backend/install/invokeai_configure.py | 6 ++++--
 2 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/services/config.py b/invokeai/app/services/config.py
index 264a93955c..1509176478 100644
--- a/invokeai/app/services/config.py
+++ b/invokeai/app/services/config.py
@@ -175,6 +175,7 @@ DB_FILE = Path("invokeai.db")
 LEGACY_INIT_FILE = Path("invokeai.init")
 DEFAULT_MAX_VRAM = 2.75
 
+
 class InvokeAISettings(BaseSettings):
     """
     Runtime configuration settings in which default values are
diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py
index 2e95993d75..6cf1101b4c 100755
--- a/invokeai/backend/install/invokeai_configure.py
+++ b/invokeai/backend/install/invokeai_configure.py
@@ -82,7 +82,7 @@ PRECISION_CHOICES = ["auto", "float16", "float32"]
 HAS_CUDA = torch.cuda.is_available()
 _, MAX_VRAM = torch.cuda.mem_get_info() if HAS_CUDA else (0, 0)
 MAX_VRAM /= 1073741824  # GB in bytes
-MAX_VRAM_CACHE_RATIO = 0.55   # first guess of optimal vram cache based on total available
+MAX_VRAM_CACHE_RATIO = 0.55  # first guess of optimal vram cache based on total available
 
 INIT_FILE_PREAMBLE = """# InvokeAI initialization file
 # This is the InvokeAI initialization file, which contains command-line default values.
@@ -571,9 +571,10 @@ def default_startup_options(init_file: Path) -> Namespace:
     opts = InvokeAIAppConfig.get_config()
     # dynamically adust vram for memory size
     if not init_file.exists():
-        opts.max_vram_cache_size = round((MAX_VRAM * MAX_VRAM_CACHE_RATIO)*4) / 4
+        opts.max_vram_cache_size = round((MAX_VRAM * MAX_VRAM_CACHE_RATIO) * 4) / 4
     return opts
 
+
 def default_user_selections(program_opts: Namespace) -> InstallSelections:
     try:
         installer = ModelInstall(config)
@@ -713,6 +714,7 @@ def migrate_init_file(legacy_format: Path):
 # -------------------------------------
 def migrate_models(root: Path):
     from invokeai.backend.install.migrate_to_3 import do_migrate
+
     do_migrate(root, root)
 
 

From 5de42be4a6bf9a5b2435693e588c529856327257 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 2 Aug 2023 14:27:13 -0400
Subject: [PATCH 032/287] reduce VRAM cache default; take max RAM from system

---
 invokeai/app/services/config.py                |  5 ++---
 invokeai/backend/install/invokeai_configure.py | 18 +++++++++---------
 2 files changed, 11 insertions(+), 12 deletions(-)

diff --git a/invokeai/app/services/config.py b/invokeai/app/services/config.py
index 1509176478..e88523eb8f 100644
--- a/invokeai/app/services/config.py
+++ b/invokeai/app/services/config.py
@@ -24,7 +24,7 @@ InvokeAI:
     sequential_guidance: false
     precision: float16
     max_cache_size: 6
-    max_vram_cache_size: 2.7
+    max_vram_cache_size: 0.5
     always_use_cpu: false
     free_gpu_mem: false
   Features:
@@ -173,8 +173,7 @@ from typing import ClassVar, Dict, List, Set, Literal, Union, get_origin, get_ty
 INIT_FILE = Path("invokeai.yaml")
 DB_FILE = Path("invokeai.db")
 LEGACY_INIT_FILE = Path("invokeai.init")
-DEFAULT_MAX_VRAM = 2.75
-
+DEFAULT_MAX_VRAM = 0.5
 
 class InvokeAISettings(BaseSettings):
     """
diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py
index 6cf1101b4c..c329d7b3fb 100755
--- a/invokeai/backend/install/invokeai_configure.py
+++ b/invokeai/backend/install/invokeai_configure.py
@@ -10,6 +10,7 @@ import sys
 import argparse
 import io
 import os
+import psutil
 import shutil
 import textwrap
 import torch
@@ -79,10 +80,13 @@ Default_config_file = config.model_conf_path
 SD_Configs = config.legacy_conf_path
 
 PRECISION_CHOICES = ["auto", "float16", "float32"]
+GB = 1073741824  # GB in bytes
 HAS_CUDA = torch.cuda.is_available()
 _, MAX_VRAM = torch.cuda.mem_get_info() if HAS_CUDA else (0, 0)
-MAX_VRAM /= 1073741824  # GB in bytes
-MAX_VRAM_CACHE_RATIO = 0.55  # first guess of optimal vram cache based on total available
+
+
+MAX_VRAM /= GB
+MAX_RAM = psutil.virtual_memory().total / GB 
 
 INIT_FILE_PREAMBLE = """# InvokeAI initialization file
 # This is the InvokeAI initialization file, which contains command-line default values.
@@ -391,9 +395,9 @@ Use cursor arrows to make a checkbox selection, and space to toggle.
         )
         self.max_cache_size = self.add_widget_intelligent(
             IntTitleSlider,
-            name="RAM cache size. The larger this is, the more models can be kept in memory rather than loading from disk each time (GB)",
+            name="RAM cache size (GB). Make this at least large enough to hold a single model. Larger sizes will allow you to switch between models quickly without reading from disk.",
             value=old_opts.max_cache_size,
-            out_of=20,
+            out_of=MAX_RAM,
             lowest=3,
             begin_entry_at=6,
             scroll_exit=True,
@@ -402,7 +406,7 @@ Use cursor arrows to make a checkbox selection, and space to toggle.
             self.nextrely += 1
             self.add_widget_intelligent(
                 npyscreen.TitleFixedText,
-                name="VRAM cache size. Make this large enough to hold an entire model, but not more than half your available VRAM (GB)",
+                name="VRAM cache size (GB). Reserving a small amount of VRAM will modestly speed up the start of image generation.",
                 begin_entry_at=0,
                 editable=False,
                 color="CONTROL",
@@ -416,7 +420,6 @@ Use cursor arrows to make a checkbox selection, and space to toggle.
                 lowest=0.0,
                 relx=8,
                 step=0.25,
-                begin_entry_at=MAX_VRAM * 0.55,
                 scroll_exit=True,
             )
         else:
@@ -569,9 +572,6 @@ def edit_opts(program_opts: Namespace, invokeai_opts: Namespace) -> argparse.Nam
 
 def default_startup_options(init_file: Path) -> Namespace:
     opts = InvokeAIAppConfig.get_config()
-    # dynamically adust vram for memory size
-    if not init_file.exists():
-        opts.max_vram_cache_size = round((MAX_VRAM * MAX_VRAM_CACHE_RATIO) * 4) / 4
     return opts
 
 

From ec48779080a160b324d521ac0379a25da4150e89 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 2 Aug 2023 14:28:19 -0400
Subject: [PATCH 033/287] blackify

---
 invokeai/app/services/config.py                | 1 +
 invokeai/backend/install/invokeai_configure.py | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/invokeai/app/services/config.py b/invokeai/app/services/config.py
index 25a7b8ffb3..271d617ff8 100644
--- a/invokeai/app/services/config.py
+++ b/invokeai/app/services/config.py
@@ -175,6 +175,7 @@ DB_FILE = Path("invokeai.db")
 LEGACY_INIT_FILE = Path("invokeai.init")
 DEFAULT_MAX_VRAM = 0.5
 
+
 class InvokeAISettings(BaseSettings):
     """
     Runtime configuration settings in which default values are
diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py
index c329d7b3fb..692eff8867 100755
--- a/invokeai/backend/install/invokeai_configure.py
+++ b/invokeai/backend/install/invokeai_configure.py
@@ -86,7 +86,7 @@ _, MAX_VRAM = torch.cuda.mem_get_info() if HAS_CUDA else (0, 0)
 
 
 MAX_VRAM /= GB
-MAX_RAM = psutil.virtual_memory().total / GB 
+MAX_RAM = psutil.virtual_memory().total / GB
 
 INIT_FILE_PREAMBLE = """# InvokeAI initialization file
 # This is the InvokeAI initialization file, which contains command-line default values.

From 8fc75a71ee20dd96ceb59f9a4a904125d71e8ad6 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 2 Aug 2023 18:10:52 -0400
Subject: [PATCH 034/287] integrate correctly into app API and add features

- Create abstract base class InvocationStatsServiceBase
- Store InvocationStatsService in the InvocationServices object
- Collect and report stats on simultaneous graph execution
  independently for each graph id
- Track VRAM usage for each node
- Handle cancellations and other exceptions gracefully
---
 invokeai/app/api/dependencies.py             |   3 +-
 invokeai/app/services/invocation_services.py |   3 +
 invokeai/app/services/invocation_stats.py    | 222 ++++++++++++++-----
 invokeai/app/services/processor.py           |  23 +-
 4 files changed, 182 insertions(+), 69 deletions(-)

diff --git a/invokeai/app/api/dependencies.py b/invokeai/app/api/dependencies.py
index d609ce3be2..b25009c8c9 100644
--- a/invokeai/app/api/dependencies.py
+++ b/invokeai/app/api/dependencies.py
@@ -2,7 +2,6 @@
 
 from typing import Optional
 from logging import Logger
-import os
 from invokeai.app.services.board_image_record_storage import (
     SqliteBoardImageRecordStorage,
 )
@@ -30,6 +29,7 @@ from ..services.invoker import Invoker
 from ..services.processor import DefaultInvocationProcessor
 from ..services.sqlite import SqliteItemStorage
 from ..services.model_manager_service import ModelManagerService
+from ..services.invocation_stats import InvocationStatsService
 from .events import FastAPIEventService
 
 
@@ -128,6 +128,7 @@ class ApiDependencies:
             graph_execution_manager=graph_execution_manager,
             processor=DefaultInvocationProcessor(),
             configuration=config,
+            performance_statistics=InvocationStatsService(graph_execution_manager),
             logger=logger,
         )
 
diff --git a/invokeai/app/services/invocation_services.py b/invokeai/app/services/invocation_services.py
index 8af17c7643..d7d9aae024 100644
--- a/invokeai/app/services/invocation_services.py
+++ b/invokeai/app/services/invocation_services.py
@@ -32,6 +32,7 @@ class InvocationServices:
     logger: "Logger"
     model_manager: "ModelManagerServiceBase"
     processor: "InvocationProcessorABC"
+    performance_statistics: "InvocationStatsServiceBase"
     queue: "InvocationQueueABC"
 
     def __init__(
@@ -47,6 +48,7 @@ class InvocationServices:
         logger: "Logger",
         model_manager: "ModelManagerServiceBase",
         processor: "InvocationProcessorABC",
+        performance_statistics: "InvocationStatsServiceBase",
         queue: "InvocationQueueABC",
     ):
         self.board_images = board_images
@@ -61,4 +63,5 @@ class InvocationServices:
         self.logger = logger
         self.model_manager = model_manager
         self.processor = processor
+        self.performance_statistics = performance_statistics
         self.queue = queue
diff --git a/invokeai/app/services/invocation_stats.py b/invokeai/app/services/invocation_stats.py
index 24a5662647..aca1dba550 100644
--- a/invokeai/app/services/invocation_stats.py
+++ b/invokeai/app/services/invocation_stats.py
@@ -3,99 +3,196 @@
 
 """
 Usage:
-statistics = InvocationStats()  # keep track of performance metrics
-...
-with statistics.collect_stats(invocation, graph_execution_state):
-    outputs = invocation.invoke(
-                                InvocationContext(
-                                services=self.__invoker.services,
-                                graph_execution_state_id=graph_execution_state.id,
-                            )
-                        )
-...
+
+statistics = InvocationStatsService(graph_execution_manager)
+with statistics.collect_stats(invocation, graph_execution_state.id):
+      ... execute graphs...
 statistics.log_stats()
 
 Typical output:
-[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> Node                 Calls   Seconds
-[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> main_model_loader        1   0.006s
-[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> clip_skip                1   0.005s
-[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> compel                   2   0.351s
-[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> rand_int                 1   0.001s
-[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> range_of_size            1   0.001s
-[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> iterate                  1   0.001s
-[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> metadata_accumulator     1   0.002s
-[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> noise                    1   0.002s
-[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> t2l                      1   3.117s
-[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> l2i                      1   0.377s
-[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> TOTAL: 3.865s
-[2023-08-01 17:34:44,585]::[InvokeAI]::INFO --> Max VRAM used for execution: 3.12G.
-[2023-08-01 17:34:44,586]::[InvokeAI]::INFO --> Current VRAM utilization 2.31G.
+[2023-08-02 18:03:04,507]::[InvokeAI]::INFO --> Graph stats: c7764585-9c68-4d9d-a199-55e8186790f3
+[2023-08-02 18:03:04,507]::[InvokeAI]::INFO --> Node                 Calls  Seconds  VRAM Used
+[2023-08-02 18:03:04,507]::[InvokeAI]::INFO --> main_model_loader        1   0.005s     0.01G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> clip_skip                1   0.004s     0.01G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> compel                   2   0.512s     0.26G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> rand_int                 1   0.001s     0.01G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> range_of_size            1   0.001s     0.01G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> iterate                  1   0.001s     0.01G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> metadata_accumulator     1   0.002s     0.01G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> noise                    1   0.002s     0.01G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> t2l                      1   3.541s     1.93G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> l2i                      1   0.679s     0.58G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> TOTAL GRAPH EXECUTION TIME:  4.749s
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> Current VRAM utilization 0.01G
+
+The abstract base class for this class is InvocationStatsServiceBase. An implementing class which
+writes to the system log is stored in InvocationServices.performance_statistics.
 """
 
 import time
-from typing import Dict, List
+from abc import ABC, abstractmethod
+from contextlib import AbstractContextManager
+from dataclasses import dataclass, field
+from typing import Dict
 
 import torch
 
-from .graph import GraphExecutionState
-from .invocation_queue import InvocationQueueItem
-from ..invocations.baseinvocation import BaseInvocation
-
 import invokeai.backend.util.logging as logger
 
+from ..invocations.baseinvocation import BaseInvocation
+from .graph import GraphExecutionState
+from .item_storage import ItemStorageABC
 
-class InvocationStats:
+
+class InvocationStatsServiceBase(ABC):
+    "Abstract base class for recording node memory/time performance statistics"
+
+    @abstractmethod
+    def __init__(self, graph_execution_manager: ItemStorageABC["GraphExecutionState"]):
+        """
+        Initialize the InvocationStatsService and reset counters to zero
+        :param graph_execution_manager: Graph execution manager for this session
+        """
+        pass
+
+    @abstractmethod
+    def collect_stats(
+        self,
+        invocation: BaseInvocation,
+        graph_execution_state_id: str,
+    ) -> AbstractContextManager:
+        """
+        Return a context object that will capture the statistics on the execution
+        of invocaation. Use with: to place around the part of the code that executes the invocation.
+        :param invocation: BaseInvocation object from the current graph.
+        :param graph_execution_state: GraphExecutionState object from the current session.
+        """
+        pass
+
+    @abstractmethod
+    def reset_stats(self, graph_execution_state_id: str):
+        """
+        Reset all statistics for the indicated graph
+        :param graph_execution_state_id
+        """
+        pass
+
+    @abstractmethod
+    def reset_all_stats(self):
+        """Zero all statistics"""
+        pass
+
+    @abstractmethod
+    def update_invocation_stats(
+        self,
+        graph_id: str,
+        invocation_type: str,
+        time_used: float,
+        vram_used: float,
+    ):
+        """
+        Add timing information on execution of a node. Usually
+        used internally.
+        :param graph_id: ID of the graph that is currently executing
+        :param invocation_type: String literal type of the node
+        :param time_used: Time used by node's exection (sec)
+        :param vram_used: Maximum VRAM used during exection (GB)
+        """
+        pass
+
+    @abstractmethod
+    def log_stats(self):
+        """
+        Write out the accumulated statistics to the log or somewhere else.
+        """
+        pass
+
+
+@dataclass
+class NodeStats:
+    """Class for tracking execution stats of an invocation node"""
+
+    calls: int = 0
+    time_used: float = 0.0  # seconds
+    max_vram: float = 0.0  # GB
+
+
+@dataclass
+class NodeLog:
+    """Class for tracking node usage"""
+
+    # {node_type => NodeStats}
+    nodes: Dict[str, NodeStats] = field(default_factory=dict)
+
+
+class InvocationStatsService(InvocationStatsServiceBase):
     """Accumulate performance information about a running graph. Collects time spent in each node,
     as well as the maximum and current VRAM utilisation for CUDA systems"""
 
-    def __init__(self):
-        self._stats: Dict[str, int] = {}
+    def __init__(self, graph_execution_manager: ItemStorageABC["GraphExecutionState"]):
+        self.graph_execution_manager = graph_execution_manager
+        # {graph_id => NodeLog}
+        self._stats: Dict[str, NodeLog] = {}
 
     class StatsContext:
-        def __init__(self, invocation: BaseInvocation, collector):
+        def __init__(self, invocation: BaseInvocation, graph_id: str, collector: "InvocationStatsServiceBase"):
             self.invocation = invocation
             self.collector = collector
+            self.graph_id = graph_id
             self.start_time = 0
 
         def __enter__(self):
             self.start_time = time.time()
+            if torch.cuda.is_available():
+                torch.cuda.reset_peak_memory_stats()
 
         def __exit__(self, *args):
-            self.collector.log_time(self.invocation.type, time.time() - self.start_time)
+            self.collector.update_invocation_stats(
+                self.graph_id,
+                self.invocation.type,
+                time.time() - self.start_time,
+                torch.cuda.max_memory_allocated() / 1e9 if torch.cuda.is_available() else 0.0,
+            )
 
     def collect_stats(
         self,
         invocation: BaseInvocation,
-        graph_execution_state: GraphExecutionState,
+        graph_execution_state_id: str,
     ) -> StatsContext:
         """
         Return a context object that will capture the statistics.
         :param invocation: BaseInvocation object from the current graph.
         :param graph_execution_state: GraphExecutionState object from the current session.
         """
-        if len(graph_execution_state.executed) == 0:  # new graph is starting
-            self.reset_stats()
-        self._current_graph_state = graph_execution_state
-        sc = self.StatsContext(invocation, self)
-        return self.StatsContext(invocation, self)
+        if not self._stats.get(graph_execution_state_id):  # first time we're seeing this
+            self._stats[graph_execution_state_id] = NodeLog()
+        return self.StatsContext(invocation, graph_execution_state_id, self)
 
-    def reset_stats(self):
-        """Zero the statistics. Ordinarily called internally."""
-        if torch.cuda.is_available():
-            torch.cuda.reset_peak_memory_stats()
-        self._stats: Dict[str, List[int, float]] = {}
+    def reset_all_stats(self):
+        """Zero all statistics"""
+        self._stats = {}
 
-    def log_time(self, invocation_type: str, time_used: float):
+    def reset_stats(self, graph_execution_id: str):
+        """Zero the statistics for the indicated graph."""
+        try:
+            self._stats.pop(graph_execution_id)
+        except KeyError:
+            logger.warning(f"Attempted to clear statistics for unknown graph {graph_execution_id}")
+
+    def update_invocation_stats(self, graph_id: str, invocation_type: str, time_used: float, vram_used: float):
         """
         Add timing information on execution of a node. Usually
         used internally.
+        :param graph_id: ID of the graph that is currently executing
         :param invocation_type: String literal type of the node
         :param time_used: Floating point seconds used by node's exection
         """
-        if not self._stats.get(invocation_type):
-            self._stats[invocation_type] = [0, 0.0]
-        self._stats[invocation_type][0] += 1
-        self._stats[invocation_type][1] += time_used
+        if not self._stats[graph_id].nodes.get(invocation_type):
+            self._stats[graph_id].nodes[invocation_type] = NodeStats()
+        stats = self._stats[graph_id].nodes[invocation_type]
+        stats.calls += 1
+        stats.time_used += time_used
+        stats.max_vram = max(stats.max_vram, vram_used)
 
     def log_stats(self):
         """
@@ -103,13 +200,24 @@ class InvocationStats:
         Stats will only be printed if when the execution of the graph
         is complete.
         """
-        if self._current_graph_state.is_complete():
-            logger.info("Node                 Calls   Seconds")
-            for node_type, (calls, time_used) in self._stats.items():
-                logger.info(f"{node_type:<20} {calls:>5}   {time_used:4.3f}s")
+        completed = set()
+        for graph_id, node_log in self._stats.items():
+            current_graph_state = self.graph_execution_manager.get(graph_id)
+            if not current_graph_state.is_complete():
+                continue
 
-            total_time = sum([ticks for _, ticks in self._stats.values()])
-            logger.info(f"TOTAL: {total_time:4.3f}s")
+            total_time = 0
+            logger.info(f"Graph stats: {graph_id}")
+            logger.info("Node                 Calls  Seconds  VRAM Used")
+            for node_type, stats in self._stats[graph_id].nodes.items():
+                logger.info(f"{node_type:<20} {stats.calls:>5}   {stats.time_used:4.3f}s     {stats.max_vram:4.2f}G")
+                total_time += stats.time_used
+
+            logger.info(f"TOTAL GRAPH EXECUTION TIME:  {total_time:4.3f}s")
             if torch.cuda.is_available():
-                logger.info("Max VRAM used for execution: " + "%4.2fG" % (torch.cuda.max_memory_allocated() / 1e9))
                 logger.info("Current VRAM utilization " + "%4.2fG" % (torch.cuda.memory_allocated() / 1e9))
+
+            completed.add(graph_id)
+
+        for graph_id in completed:
+            del self._stats[graph_id]
diff --git a/invokeai/app/services/processor.py b/invokeai/app/services/processor.py
index e9511aa283..41170a304b 100644
--- a/invokeai/app/services/processor.py
+++ b/invokeai/app/services/processor.py
@@ -1,15 +1,15 @@
 import time
 import traceback
-from threading import Event, Thread, BoundedSemaphore
-
-from ..invocations.baseinvocation import InvocationContext
-from .invocation_queue import InvocationQueueItem
-from .invoker import InvocationProcessorABC, Invoker
-from .invocation_stats import InvocationStats
-from ..models.exceptions import CanceledException
+from threading import BoundedSemaphore, Event, Thread
 
 import invokeai.backend.util.logging as logger
 
+from ..invocations.baseinvocation import InvocationContext
+from ..models.exceptions import CanceledException
+from .invocation_queue import InvocationQueueItem
+from .invocation_stats import InvocationStatsServiceBase
+from .invoker import InvocationProcessorABC, Invoker
+
 
 class DefaultInvocationProcessor(InvocationProcessorABC):
     __invoker_thread: Thread
@@ -36,7 +36,8 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
     def __process(self, stop_event: Event):
         try:
             self.__threadLimit.acquire()
-            statistics = InvocationStats()  # keep track of performance metrics
+            statistics: InvocationStatsServiceBase = self.__invoker.services.performance_statistics
+
             while not stop_event.is_set():
                 try:
                     queue_item: InvocationQueueItem = self.__invoker.services.queue.get()
@@ -85,7 +86,7 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
 
                 # Invoke
                 try:
-                    with statistics.collect_stats(invocation, graph_execution_state):
+                    with statistics.collect_stats(invocation, graph_execution_state.id):
                         outputs = invocation.invoke(
                             InvocationContext(
                                 services=self.__invoker.services,
@@ -116,7 +117,7 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                     pass
 
                 except CanceledException:
-                    statistics.reset_stats()
+                    statistics.reset_stats(graph_execution_state.id)
                     pass
 
                 except Exception as e:
@@ -138,7 +139,7 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                         error_type=e.__class__.__name__,
                         error=error,
                     )
-                    statistics.reset_stats()
+                    statistics.reset_stats(graph_execution_state.id)
                     pass
 
                 # Check queue to see if this is canceled, and skip if so

From 3fc789a7eeb9efa6255e331ab7dda03097c451d6 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 2 Aug 2023 18:31:10 -0400
Subject: [PATCH 035/287] fix unit tests

---
 tests/nodes/test_graph_execution_state.py | 9 ++++++---
 tests/nodes/test_invoker.py               | 9 ++++++---
 2 files changed, 12 insertions(+), 6 deletions(-)

diff --git a/tests/nodes/test_graph_execution_state.py b/tests/nodes/test_graph_execution_state.py
index e0ee120b54..248bc6fee1 100644
--- a/tests/nodes/test_graph_execution_state.py
+++ b/tests/nodes/test_graph_execution_state.py
@@ -16,6 +16,7 @@ from invokeai.app.invocations.baseinvocation import (
 from invokeai.app.invocations.collections import RangeInvocation
 from invokeai.app.invocations.math import AddInvocation, MultiplyInvocation
 from invokeai.app.services.invocation_services import InvocationServices
+from invokeai.app.services.invocation_stats import InvocationStatsService
 from invokeai.app.services.graph import (
     Graph,
     CollectInvocation,
@@ -41,6 +42,9 @@ def simple_graph():
 @pytest.fixture
 def mock_services() -> InvocationServices:
     # NOTE: none of these are actually called by the test invocations
+    graph_execution_manager = SqliteItemStorage[GraphExecutionState](
+        filename=sqlite_memory, table_name="graph_executions"
+    )
     return InvocationServices(
         model_manager=None,  # type: ignore
         events=TestEventService(),
@@ -51,9 +55,8 @@ def mock_services() -> InvocationServices:
         board_images=None,  # type: ignore
         queue=MemoryInvocationQueue(),
         graph_library=SqliteItemStorage[LibraryGraph](filename=sqlite_memory, table_name="graphs"),
-        graph_execution_manager=SqliteItemStorage[GraphExecutionState](
-            filename=sqlite_memory, table_name="graph_executions"
-        ),
+        graph_execution_manager=graph_execution_manager,
+        performance_statistics=InvocationStatsService(graph_execution_manager),
         processor=DefaultInvocationProcessor(),
         configuration=None,  # type: ignore
     )
diff --git a/tests/nodes/test_invoker.py b/tests/nodes/test_invoker.py
index 8eba6d468f..5985c7e8bb 100644
--- a/tests/nodes/test_invoker.py
+++ b/tests/nodes/test_invoker.py
@@ -11,6 +11,7 @@ from invokeai.app.services.processor import DefaultInvocationProcessor
 from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory
 from invokeai.app.services.invoker import Invoker
 from invokeai.app.services.invocation_services import InvocationServices
+from invokeai.app.services.invocation_stats import InvocationStatsService
 from invokeai.app.services.graph import (
     Graph,
     GraphExecutionState,
@@ -34,6 +35,9 @@ def simple_graph():
 @pytest.fixture
 def mock_services() -> InvocationServices:
     # NOTE: none of these are actually called by the test invocations
+    graph_execution_manager = SqliteItemStorage[GraphExecutionState](
+        filename=sqlite_memory, table_name="graph_executions"
+    )
     return InvocationServices(
         model_manager=None,  # type: ignore
         events=TestEventService(),
@@ -44,10 +48,9 @@ def mock_services() -> InvocationServices:
         board_images=None,  # type: ignore
         queue=MemoryInvocationQueue(),
         graph_library=SqliteItemStorage[LibraryGraph](filename=sqlite_memory, table_name="graphs"),
-        graph_execution_manager=SqliteItemStorage[GraphExecutionState](
-            filename=sqlite_memory, table_name="graph_executions"
-        ),
+        graph_execution_manager=graph_execution_manager,
         processor=DefaultInvocationProcessor(),
+        performance_statistics=InvocationStatsService(graph_execution_manager),
         configuration=None,  # type: ignore
     )
 

From 921ccad04d2b903617cd4dd6d15c4f7fa8fe9c66 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 2 Aug 2023 18:41:43 -0400
Subject: [PATCH 036/287] added stats service to the cli_app startup

---
 invokeai/app/cli_app.py | 2 ++
 scripts/dream.py        | 6 ++++--
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/cli_app.py b/invokeai/app/cli_app.py
index bad95bb559..4558c9219f 100644
--- a/invokeai/app/cli_app.py
+++ b/invokeai/app/cli_app.py
@@ -37,6 +37,7 @@ from invokeai.app.services.image_record_storage import SqliteImageRecordStorage
 from invokeai.app.services.images import ImageService, ImageServiceDependencies
 from invokeai.app.services.resource_name import SimpleNameService
 from invokeai.app.services.urls import LocalUrlService
+from invokeai.app.services.invocation_stats import InvocationStatsService
 from .services.default_graphs import default_text_to_image_graph_id, create_system_graphs
 from .services.latent_storage import DiskLatentsStorage, ForwardCacheLatentsStorage
 
@@ -311,6 +312,7 @@ def invoke_cli():
         graph_library=SqliteItemStorage[LibraryGraph](filename=db_location, table_name="graphs"),
         graph_execution_manager=graph_execution_manager,
         processor=DefaultInvocationProcessor(),
+        performance_statistics=InvocationStatsService(graph_execution_manager),
         logger=logger,
         configuration=config,
     )
diff --git a/scripts/dream.py b/scripts/dream.py
index 12176db41e..d2735046a4 100755
--- a/scripts/dream.py
+++ b/scripts/dream.py
@@ -2,10 +2,12 @@
 # Copyright (c) 2022 Lincoln D. Stein (https://github.com/lstein)
 
 import warnings
-from invokeai.frontend.CLI import invokeai_command_line_interface as main
 
 warnings.warn(
     "dream.py is being deprecated, please run invoke.py for the " "new UI/API or legacy_api.py for the old API",
     DeprecationWarning,
 )
-main()
+
+from invokeai.app.cli_app import invoke_cli
+
+invoke_cli()

From 0d125bf3e43567f88adeec5a4f6494e7306912b6 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Tue, 1 Aug 2023 23:59:32 +1000
Subject: [PATCH 037/287] chore: delete nonfunctional `shell.nix`

This was for v2.3 and is very broken. See `flake.nix`, thanks to @zopieux
---
 shell.nix | 162 ------------------------------------------------------
 1 file changed, 162 deletions(-)
 delete mode 100644 shell.nix

diff --git a/shell.nix b/shell.nix
deleted file mode 100644
index 3de8c91b38..0000000000
--- a/shell.nix
+++ /dev/null
@@ -1,162 +0,0 @@
-{ pkgs ? import <nixpkgs> {}
-  , lib ? pkgs.lib
-  , stdenv ? pkgs.stdenv
-  , fetchurl ? pkgs.fetchurl
-  , runCommand ? pkgs.runCommand
-  , makeWrapper ? pkgs.makeWrapper
-  , mkShell ? pkgs.mkShell
-  , buildFHSUserEnv ? pkgs.buildFHSUserEnv
-  , frameworks ? pkgs.darwin.apple_sdk.frameworks
-}:
-
-# Setup InvokeAI environment using nix
-# Simple usage:
-# nix-shell
-# python3 scripts/preload_models.py
-# python3 scripts/invoke.py -h
-
-let
-  conda-shell = { url, sha256, installPath, packages, shellHook }:
-  let
-    src = fetchurl { inherit url sha256; };
-    libPath = lib.makeLibraryPath ([] ++ lib.optionals (stdenv.isLinux) [ pkgs.zlib ]);
-    condaArch = if stdenv.system == "aarch64-darwin" then "osx-arm64" else "";
-    installer =
-    if stdenv.isDarwin then
-      runCommand "conda-install" {
-        nativeBuildInputs = [ makeWrapper ];
-      } ''
-        mkdir -p $out/bin
-        cp ${src} $out/bin/miniconda-installer.sh
-        chmod +x $out/bin/miniconda-installer.sh
-        makeWrapper                       \
-          $out/bin/miniconda-installer.sh \
-          $out/bin/conda-install          \
-          --add-flags "-p ${installPath}" \
-          --add-flags "-b"
-      ''
-    else if stdenv.isLinux then
-      runCommand "conda-install" {
-        nativeBuildInputs = [ makeWrapper ];
-        buildInputs = [ pkgs.zlib ];
-      }
-      # on line 10, we have 'unset LD_LIBRARY_PATH'
-      # we have to comment it out however in a way that the number of bytes in the
-      # file does not change. So we replace the 'u' in the line with a '#'
-      # The reason is that the binary payload is encoded as number
-      # of bytes from the top of the installer script
-      # and unsetting the library path prevents the zlib library from being discovered
-      ''
-        mkdir -p $out/bin
-        sed 's/unset LD_LIBRARY_PATH/#nset LD_LIBRARY_PATH/' ${src} > $out/bin/miniconda-installer.sh
-        chmod +x $out/bin/miniconda-installer.sh
-        makeWrapper                       \
-          $out/bin/miniconda-installer.sh \
-          $out/bin/conda-install          \
-          --add-flags "-p ${installPath}" \
-          --add-flags "-b"                \
-          --prefix "LD_LIBRARY_PATH" : "${libPath}"
-      ''
-    else {};
-
-    hook = ''
-      export CONDA_SUBDIR=${condaArch}
-    '' +  shellHook;
-
-    fhs = buildFHSUserEnv {
-      name = "conda-shell";
-      targetPkgs = pkgs: [ stdenv.cc pkgs.git installer ] ++ packages;
-      profile = hook;
-      runScript = "bash";
-    };
-
-    shell = mkShell {
-      shellHook = if stdenv.isDarwin then hook else "conda-shell; exit";
-      packages = if stdenv.isDarwin then [ pkgs.git installer ] ++ packages else [ fhs ];
-    };
-  in shell;
-
-  packages = with pkgs; [
-    cmake
-    protobuf
-    libiconv
-    rustc
-    cargo
-    rustPlatform.bindgenHook
-  ];
-
-  env = {
-    aarch64-darwin = {
-      envFile = "environment-mac.yml";
-      condaPath = (builtins.toString ./.) + "/.conda";
-      ptrSize = "8";
-    };
-    x86_64-linux =  {
-      envFile = "environment.yml";
-      condaPath = (builtins.toString ./.) + "/.conda";
-      ptrSize = "8";
-    };
-  };
-
-  envFile = env.${stdenv.system}.envFile;
-  installPath = env.${stdenv.system}.condaPath;
-  ptrSize = env.${stdenv.system}.ptrSize;
-  shellHook = ''
-    conda-install
-
-    # tmpdir is too small in nix
-    export TMPDIR="${installPath}/tmp"
-
-    # Add conda to PATH
-    export PATH="${installPath}/bin:$PATH"
-
-    # Allows `conda activate` to work properly
-    source ${installPath}/etc/profile.d/conda.sh
-
-    # Paths for gcc if compiling some C sources with pip
-    export NIX_CFLAGS_COMPILE="-I${installPath}/include -I$TMPDIR/include"
-    export NIX_CFLAGS_LINK="-L${installPath}/lib $BINDGEN_EXTRA_CLANG_ARGS"
-
-    export PIP_EXISTS_ACTION=w
-
-    # rust-onig fails (think it writes config.h to wrong location)
-    mkdir -p "$TMPDIR/include"
-    cat <<'EOF' > "$TMPDIR/include/config.h"
-    #define HAVE_PROTOTYPES 1
-    #define STDC_HEADERS 1
-    #define HAVE_STRING_H 1
-    #define HAVE_STDARG_H 1
-    #define HAVE_STDLIB_H 1
-    #define HAVE_LIMITS_H 1
-    #define HAVE_INTTYPES_H 1
-    #define SIZEOF_INT 4
-    #define SIZEOF_SHORT 2
-    #define SIZEOF_LONG ${ptrSize}
-    #define SIZEOF_VOIDP ${ptrSize}
-    #define SIZEOF_LONG_LONG 8
-    EOF
-
-    conda env create -f "${envFile}" || conda env update --prune -f "${envFile}"
-    conda activate invokeai
-  '';
-
-  version = "4.12.0";
-  conda = {
-    aarch64-darwin = {
-      shell = conda-shell {
-        inherit shellHook installPath;
-        url = "https://repo.anaconda.com/miniconda/Miniconda3-py39_${version}-MacOSX-arm64.sh";
-        sha256 = "4bd112168cc33f8a4a60d3ef7e72b52a85972d588cd065be803eb21d73b625ef";
-        packages = [ frameworks.Security ] ++ packages;
-      };
-    };
-    x86_64-linux =  {
-      shell = conda-shell {
-        inherit shellHook installPath;
-        url = "https://repo.continuum.io/miniconda/Miniconda3-py39_${version}-Linux-x86_64.sh";
-        sha256 = "78f39f9bae971ec1ae7969f0516017f2413f17796670f7040725dd83fcff5689";
-        packages = with pkgs; [ libGL glib ] ++ packages;
-      };
-    };
-  };
-in conda.${stdenv.system}.shell

From 0ba8a0ea6c4f874db22d91b3192f8c084f8a6fd2 Mon Sep 17 00:00:00 2001
From: Kevin Brack <brackkevin@gmail.com>
Date: Sun, 30 Jul 2023 13:05:29 -0500
Subject: [PATCH 038/287] Board assignment changing on click

---
 .../components/GallerySettingsPopover.tsx     | 19 ++++++++++++++++---
 .../features/gallery/store/gallerySlice.ts    |  6 ++++++
 .../web/src/features/gallery/store/types.ts   |  1 +
 3 files changed, 23 insertions(+), 3 deletions(-)

diff --git a/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx b/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx
index 21a580d9a9..04cc98edb7 100644
--- a/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx
@@ -8,6 +8,7 @@ import IAIPopover from 'common/components/IAIPopover';
 import IAISimpleCheckbox from 'common/components/IAISimpleCheckbox';
 import IAISlider from 'common/components/IAISlider';
 import {
+  autoAssignBoardOnClickChanged,
   setGalleryImageMinimumWidth,
   shouldAutoSwitchChanged,
 } from 'features/gallery/store/gallerySlice';
@@ -19,11 +20,16 @@ import BoardAutoAddSelect from './Boards/BoardAutoAddSelect';
 const selector = createSelector(
   [stateSelector],
   (state) => {
-    const { galleryImageMinimumWidth, shouldAutoSwitch } = state.gallery;
+    const {
+      galleryImageMinimumWidth,
+      shouldAutoSwitch,
+      autoAssignBoardOnClick,
+    } = state.gallery;
 
     return {
       galleryImageMinimumWidth,
       shouldAutoSwitch,
+      autoAssignBoardOnClick,
     };
   },
   defaultSelectorOptions
@@ -33,7 +39,7 @@ const GallerySettingsPopover = () => {
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
 
-  const { galleryImageMinimumWidth, shouldAutoSwitch } =
+  const { galleryImageMinimumWidth, shouldAutoSwitch, autoAssignBoardOnClick } =
     useAppSelector(selector);
 
   const handleChangeGalleryImageMinimumWidth = (v: number) => {
@@ -69,7 +75,14 @@ const GallerySettingsPopover = () => {
             dispatch(shouldAutoSwitchChanged(e.target.checked))
           }
         />
-        <BoardAutoAddSelect />
+        <IAISimpleCheckbox
+          label={t('gallery.autoAssignBoardOnClick')}
+          isChecked={autoAssignBoardOnClick}
+          onChange={(e: ChangeEvent<HTMLInputElement>) =>
+            dispatch(autoAssignBoardOnClickChanged(e.target.checked))
+          }
+        />
+        {!autoAssignBoardOnClick && <BoardAutoAddSelect />}
       </Flex>
     </IAIPopover>
   );
diff --git a/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts b/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts
index 5eabe5de26..851e1b6c3b 100644
--- a/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts
+++ b/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts
@@ -8,6 +8,7 @@ export const initialGalleryState: GalleryState = {
   selection: [],
   shouldAutoSwitch: true,
   autoAddBoardId: undefined,
+  autoAssignBoardOnClick: true,
   galleryImageMinimumWidth: 96,
   selectedBoardId: undefined,
   galleryView: 'images',
@@ -66,9 +67,13 @@ export const gallerySlice = createSlice({
     setGalleryImageMinimumWidth: (state, action: PayloadAction<number>) => {
       state.galleryImageMinimumWidth = action.payload;
     },
+    autoAssignBoardOnClickChanged: (state, action: PayloadAction<boolean>) => {
+      state.autoAssignBoardOnClick = action.payload;
+    },
     boardIdSelected: (state, action: PayloadAction<BoardId>) => {
       state.selectedBoardId = action.payload;
       state.galleryView = 'images';
+      state.autoAssignBoardOnClick && (state.autoAddBoardId = action.payload);
     },
     isBatchEnabledChanged: (state, action: PayloadAction<boolean>) => {
       state.isBatchEnabled = action.payload;
@@ -140,6 +145,7 @@ export const {
   imageSelectionToggled,
   imageSelected,
   shouldAutoSwitchChanged,
+  autoAssignBoardOnClickChanged,
   setGalleryImageMinimumWidth,
   boardIdSelected,
   isBatchEnabledChanged,
diff --git a/invokeai/frontend/web/src/features/gallery/store/types.ts b/invokeai/frontend/web/src/features/gallery/store/types.ts
index d19a6fded3..298b792362 100644
--- a/invokeai/frontend/web/src/features/gallery/store/types.ts
+++ b/invokeai/frontend/web/src/features/gallery/store/types.ts
@@ -18,6 +18,7 @@ export type GalleryState = {
   selection: string[];
   shouldAutoSwitch: boolean;
   autoAddBoardId: string | undefined;
+  autoAssignBoardOnClick: boolean;
   galleryImageMinimumWidth: number;
   selectedBoardId: BoardId;
   galleryView: GalleryView;

From 450e95de592ac623bce8acca2ebeb60bbeb1a24a Mon Sep 17 00:00:00 2001
From: Kevin Brack <brackkevin@gmail.com>
Date: Sun, 30 Jul 2023 18:35:18 -0500
Subject: [PATCH 039/287] auto change board waiting for isReady

---
 .../Boards/BoardsList/GalleryBoard.tsx        | 19 +++++++++++++++----
 .../Boards/BoardsList/NoBoardBoard.tsx        | 18 +++++++++++++-----
 .../features/gallery/store/gallerySlice.ts    |  1 -
 3 files changed, 28 insertions(+), 10 deletions(-)

diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx
index 67c45c131b..a4124e2393 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx
@@ -16,7 +16,10 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIDroppable from 'common/components/IAIDroppable';
 import SelectionOverlay from 'common/components/SelectionOverlay';
-import { boardIdSelected } from 'features/gallery/store/gallerySlice';
+import {
+  autoAddBoardIdChanged,
+  boardIdSelected,
+} from 'features/gallery/store/gallerySlice';
 import { memo, useCallback, useMemo, useState } from 'react';
 import { FaUser } from 'react-icons/fa';
 import { useUpdateBoardMutation } from 'services/api/endpoints/boards';
@@ -24,6 +27,7 @@ import { useGetImageDTOQuery } from 'services/api/endpoints/images';
 import { BoardDTO } from 'services/api/types';
 import AutoAddIcon from '../AutoAddIcon';
 import BoardContextMenu from '../BoardContextMenu';
+import { useIsReadyToInvoke } from 'common/hooks/useIsReadyToInvoke';
 
 interface GalleryBoardProps {
   board: BoardDTO;
@@ -41,15 +45,17 @@ const GalleryBoard = memo(
           ({ gallery }) => {
             const isSelectedForAutoAdd =
               board.board_id === gallery.autoAddBoardId;
+            const autoAssignBoardOnClick = gallery.autoAssignBoardOnClick;
 
-            return { isSelectedForAutoAdd };
+            return { isSelectedForAutoAdd, autoAssignBoardOnClick };
           },
           defaultSelectorOptions
         ),
       [board.board_id]
     );
 
-    const { isSelectedForAutoAdd } = useAppSelector(selector);
+    const { isSelectedForAutoAdd, autoAssignBoardOnClick } =
+      useAppSelector(selector);
     const [isHovered, setIsHovered] = useState(false);
     const handleMouseOver = useCallback(() => {
       setIsHovered(true);
@@ -64,9 +70,14 @@ const GalleryBoard = memo(
     const { board_name, board_id } = board;
     const [localBoardName, setLocalBoardName] = useState(board_name);
 
+    const isReady = useIsReadyToInvoke();
+
     const handleSelectBoard = useCallback(() => {
       dispatch(boardIdSelected(board_id));
-    }, [board_id, dispatch]);
+      if (autoAssignBoardOnClick && isReady) {
+        dispatch(autoAddBoardIdChanged(board_id));
+      }
+    }, [board_id, autoAssignBoardOnClick, isReady, dispatch]);
 
     const [updateBoard, { isLoading: isUpdateBoardLoading }] =
       useUpdateBoardMutation();
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx
index ee1d8f6bea..3963fc04d9 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx
@@ -7,11 +7,15 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import InvokeAILogoImage from 'assets/images/logo.png';
 import IAIDroppable from 'common/components/IAIDroppable';
 import SelectionOverlay from 'common/components/SelectionOverlay';
-import { boardIdSelected } from 'features/gallery/store/gallerySlice';
+import {
+  boardIdSelected,
+  autoAddBoardIdChanged,
+} from 'features/gallery/store/gallerySlice';
 import { memo, useCallback, useMemo, useState } from 'react';
 import { useBoardName } from 'services/api/hooks/useBoardName';
 import AutoAddIcon from '../AutoAddIcon';
 import BoardContextMenu from '../BoardContextMenu';
+import { useIsReadyToInvoke } from 'common/hooks/useIsReadyToInvoke';
 interface Props {
   isSelected: boolean;
 }
@@ -19,19 +23,23 @@ interface Props {
 const selector = createSelector(
   stateSelector,
   ({ gallery }) => {
-    const { autoAddBoardId } = gallery;
-    return { autoAddBoardId };
+    const { autoAddBoardId, autoAssignBoardOnClick } = gallery;
+    return { autoAddBoardId, autoAssignBoardOnClick };
   },
   defaultSelectorOptions
 );
 
 const NoBoardBoard = memo(({ isSelected }: Props) => {
   const dispatch = useAppDispatch();
-  const { autoAddBoardId } = useAppSelector(selector);
+  const { autoAddBoardId, autoAssignBoardOnClick } = useAppSelector(selector);
   const boardName = useBoardName(undefined);
+  const isReady = useIsReadyToInvoke();
   const handleSelectBoard = useCallback(() => {
     dispatch(boardIdSelected(undefined));
-  }, [dispatch]);
+    if (autoAssignBoardOnClick && isReady) {
+      dispatch(autoAddBoardIdChanged(undefined));
+    }
+  }, [dispatch, autoAssignBoardOnClick, isReady]);
   const [isHovered, setIsHovered] = useState(false);
   const handleMouseOver = useCallback(() => {
     setIsHovered(true);
diff --git a/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts b/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts
index 851e1b6c3b..9c65e818f4 100644
--- a/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts
+++ b/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts
@@ -73,7 +73,6 @@ export const gallerySlice = createSlice({
     boardIdSelected: (state, action: PayloadAction<BoardId>) => {
       state.selectedBoardId = action.payload;
       state.galleryView = 'images';
-      state.autoAssignBoardOnClick && (state.autoAddBoardId = action.payload);
     },
     isBatchEnabledChanged: (state, action: PayloadAction<boolean>) => {
       state.isBatchEnabled = action.payload;

From 366952f810fcedd676b735046c9e384d08aa244f Mon Sep 17 00:00:00 2001
From: Kevin Brack <brackkevin@gmail.com>
Date: Sun, 30 Jul 2023 19:02:53 -0500
Subject: [PATCH 040/287] fix localization

---
 invokeai/frontend/web/public/locales/en.json | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index cf84e4d773..63380a19fa 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -124,7 +124,8 @@
         "deleteImageBin": "Deleted images will be sent to your operating system's Bin.",
         "deleteImagePermanent": "Deleted images cannot be restored.",
         "images": "Images",
-        "assets": "Assets"
+        "assets": "Assets",
+        "autoAssignBoardOnClick": "Auto-Assign Board on Click"
     },
     "hotkeys": {
         "keyboardShortcuts": "Keyboard Shortcuts",

From 87424be95d17434bb698bb4742acbaa7fb63d2d6 Mon Sep 17 00:00:00 2001
From: Kevin Brack <brackkevin@gmail.com>
Date: Mon, 31 Jul 2023 19:34:24 -0500
Subject: [PATCH 041/287] block auto add board change during generation. Switch
 condition to isProcessing

---
 .../components/Boards/BoardAutoAddSelect.tsx   | 12 ++++++++----
 .../Boards/BoardsList/GalleryBoard.tsx         | 18 ++++++++++--------
 .../Boards/BoardsList/NoBoardBoard.tsx         | 14 +++++++-------
 .../components/GallerySettingsPopover.tsx      |  2 +-
 4 files changed, 26 insertions(+), 20 deletions(-)

diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx
index ad0e5ab80d..9f02a29f10 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx
@@ -11,11 +11,14 @@ import { useListAllBoardsQuery } from 'services/api/endpoints/boards';
 
 const selector = createSelector(
   [stateSelector],
-  ({ gallery }) => {
-    const { autoAddBoardId } = gallery;
+  ({ gallery, system }) => {
+    const { autoAddBoardId, autoAssignBoardOnClick } = gallery;
+    const { isProcessing } = system;
 
     return {
       autoAddBoardId,
+      autoAssignBoardOnClick,
+      isProcessing,
     };
   },
   defaultSelectorOptions
@@ -23,7 +26,8 @@ const selector = createSelector(
 
 const BoardAutoAddSelect = () => {
   const dispatch = useAppDispatch();
-  const { autoAddBoardId } = useAppSelector(selector);
+  const { autoAddBoardId, autoAssignBoardOnClick, isProcessing } =
+    useAppSelector(selector);
   const inputRef = useRef<HTMLInputElement>(null);
   const { boards, hasBoards } = useListAllBoardsQuery(undefined, {
     selectFromResult: ({ data }) => {
@@ -67,7 +71,7 @@ const BoardAutoAddSelect = () => {
       data={boards}
       nothingFound="No matching Boards"
       itemComponent={IAIMantineSelectItemWithTooltip}
-      disabled={!hasBoards}
+      disabled={!hasBoards || autoAssignBoardOnClick || isProcessing}
       filter={(value, item: SelectItem) =>
         item.label?.toLowerCase().includes(value.toLowerCase().trim()) ||
         item.value.toLowerCase().includes(value.toLowerCase().trim())
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx
index a4124e2393..3b591ee00f 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx
@@ -27,7 +27,6 @@ import { useGetImageDTOQuery } from 'services/api/endpoints/images';
 import { BoardDTO } from 'services/api/types';
 import AutoAddIcon from '../AutoAddIcon';
 import BoardContextMenu from '../BoardContextMenu';
-import { useIsReadyToInvoke } from 'common/hooks/useIsReadyToInvoke';
 
 interface GalleryBoardProps {
   board: BoardDTO;
@@ -42,19 +41,24 @@ const GalleryBoard = memo(
       () =>
         createSelector(
           stateSelector,
-          ({ gallery }) => {
+          ({ gallery, system }) => {
             const isSelectedForAutoAdd =
               board.board_id === gallery.autoAddBoardId;
             const autoAssignBoardOnClick = gallery.autoAssignBoardOnClick;
+            const isProcessing = system.isProcessing;
 
-            return { isSelectedForAutoAdd, autoAssignBoardOnClick };
+            return {
+              isSelectedForAutoAdd,
+              autoAssignBoardOnClick,
+              isProcessing,
+            };
           },
           defaultSelectorOptions
         ),
       [board.board_id]
     );
 
-    const { isSelectedForAutoAdd, autoAssignBoardOnClick } =
+    const { isSelectedForAutoAdd, autoAssignBoardOnClick, isProcessing } =
       useAppSelector(selector);
     const [isHovered, setIsHovered] = useState(false);
     const handleMouseOver = useCallback(() => {
@@ -70,14 +74,12 @@ const GalleryBoard = memo(
     const { board_name, board_id } = board;
     const [localBoardName, setLocalBoardName] = useState(board_name);
 
-    const isReady = useIsReadyToInvoke();
-
     const handleSelectBoard = useCallback(() => {
       dispatch(boardIdSelected(board_id));
-      if (autoAssignBoardOnClick && isReady) {
+      if (autoAssignBoardOnClick && !isProcessing) {
         dispatch(autoAddBoardIdChanged(board_id));
       }
-    }, [board_id, autoAssignBoardOnClick, isReady, dispatch]);
+    }, [board_id, autoAssignBoardOnClick, isProcessing, dispatch]);
 
     const [updateBoard, { isLoading: isUpdateBoardLoading }] =
       useUpdateBoardMutation();
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx
index 3963fc04d9..118b2108f7 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx
@@ -15,31 +15,31 @@ import { memo, useCallback, useMemo, useState } from 'react';
 import { useBoardName } from 'services/api/hooks/useBoardName';
 import AutoAddIcon from '../AutoAddIcon';
 import BoardContextMenu from '../BoardContextMenu';
-import { useIsReadyToInvoke } from 'common/hooks/useIsReadyToInvoke';
 interface Props {
   isSelected: boolean;
 }
 
 const selector = createSelector(
   stateSelector,
-  ({ gallery }) => {
+  ({ gallery, system }) => {
     const { autoAddBoardId, autoAssignBoardOnClick } = gallery;
-    return { autoAddBoardId, autoAssignBoardOnClick };
+    const { isProcessing } = system;
+    return { autoAddBoardId, autoAssignBoardOnClick, isProcessing };
   },
   defaultSelectorOptions
 );
 
 const NoBoardBoard = memo(({ isSelected }: Props) => {
   const dispatch = useAppDispatch();
-  const { autoAddBoardId, autoAssignBoardOnClick } = useAppSelector(selector);
+  const { autoAddBoardId, autoAssignBoardOnClick, isProcessing } =
+    useAppSelector(selector);
   const boardName = useBoardName(undefined);
-  const isReady = useIsReadyToInvoke();
   const handleSelectBoard = useCallback(() => {
     dispatch(boardIdSelected(undefined));
-    if (autoAssignBoardOnClick && isReady) {
+    if (autoAssignBoardOnClick && !isProcessing) {
       dispatch(autoAddBoardIdChanged(undefined));
     }
-  }, [dispatch, autoAssignBoardOnClick, isReady]);
+  }, [dispatch, autoAssignBoardOnClick, isProcessing]);
   const [isHovered, setIsHovered] = useState(false);
   const handleMouseOver = useCallback(() => {
     setIsHovered(true);
diff --git a/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx b/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx
index 04cc98edb7..796cc542e7 100644
--- a/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx
@@ -82,7 +82,7 @@ const GallerySettingsPopover = () => {
             dispatch(autoAssignBoardOnClickChanged(e.target.checked))
           }
         />
-        {!autoAssignBoardOnClick && <BoardAutoAddSelect />}
+        <BoardAutoAddSelect />
       </Flex>
     </IAIPopover>
   );

From 26ef5249b1902132493ef6cbc5f1c8d6c4c7bdd8 Mon Sep 17 00:00:00 2001
From: Kevin Brack <brackkevin@gmail.com>
Date: Mon, 31 Jul 2023 19:44:41 -0500
Subject: [PATCH 042/287] guard board switching in board context menu

---
 .../gallery/components/Boards/BoardContextMenu.tsx    | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx
index 35fcbd87f7..2774288612 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx
@@ -25,14 +25,17 @@ const BoardContextMenu = memo(
 
     const selector = useMemo(
       () =>
-        createSelector(stateSelector, ({ gallery }) => {
+        createSelector(stateSelector, ({ gallery, system }) => {
           const isAutoAdd = gallery.autoAddBoardId === board_id;
-          return { isAutoAdd };
+          const isProcessing = system.isProcessing;
+          const autoAssignBoardOnClick = gallery.autoAssignBoardOnClick;
+          return { isAutoAdd, isProcessing, autoAssignBoardOnClick };
         }),
       [board_id]
     );
 
-    const { isAutoAdd } = useAppSelector(selector);
+    const { isAutoAdd, isProcessing, autoAssignBoardOnClick } =
+      useAppSelector(selector);
     const boardName = useBoardName(board_id);
 
     const handleSetAutoAdd = useCallback(() => {
@@ -59,7 +62,7 @@ const BoardContextMenu = memo(
             <MenuGroup title={boardName}>
               <MenuItem
                 icon={<FaPlus />}
-                isDisabled={isAutoAdd}
+                isDisabled={isAutoAdd || isProcessing || autoAssignBoardOnClick}
                 onClick={handleSetAutoAdd}
               >
                 Auto-add to this Board

From 7021467048925d413e9fd132545491ee04ac603e Mon Sep 17 00:00:00 2001
From: Eugene Brodsky <ebr@users.noreply.github.com>
Date: Wed, 2 Aug 2023 19:46:02 -0400
Subject: [PATCH 043/287] (ci) do not install all dependencies when running
 static checks (#4036)

Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
---
 .github/workflows/style-checks.yml | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/.github/workflows/style-checks.yml b/.github/workflows/style-checks.yml
index 8aceb6469e..0bb19e95e5 100644
--- a/.github/workflows/style-checks.yml
+++ b/.github/workflows/style-checks.yml
@@ -1,13 +1,15 @@
-name: Black  # TODO: add isort and flake8 later
+name: style checks
+# just formatting for now
+# TODO: add isort and flake8 later
 
 on:
-  pull_request: {}
+  pull_request:
   push:
-    branches: master
+    branches: main
     tags: "*"
 
 jobs:
-  test:
+  black:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v3
@@ -19,8 +21,7 @@ jobs:
 
       - name: Install dependencies with pip
         run: |
-          pip install --upgrade pip wheel
-          pip install .[test]
+          pip install black
 
       # - run: isort --check-only .
       - run: black --check .

From 4e0949fa5503c4ed2a61641aa9deb0f3e1134fb4 Mon Sep 17 00:00:00 2001
From: Damian Stewart <d@damianstewart.com>
Date: Sun, 30 Jul 2023 20:12:53 +0200
Subject: [PATCH 044/287] fix .swap() by reverting improperly merged
 @classmethod change

---
 .../diffusion/shared_invokeai_diffusion.py                | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
index 272518e928..c01cf82c57 100644
--- a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
+++ b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
@@ -78,10 +78,9 @@ class InvokeAIDiffuserComponent:
         self.cross_attention_control_context = None
         self.sequential_guidance = config.sequential_guidance
 
-    @classmethod
     @contextmanager
     def custom_attention_context(
-        cls,
+        self,
         unet: UNet2DConditionModel,  # note: also may futz with the text encoder depending on requested LoRAs
         extra_conditioning_info: Optional[ExtraConditioningInfo],
         step_count: int,
@@ -91,18 +90,19 @@ class InvokeAIDiffuserComponent:
             old_attn_processors = unet.attn_processors
             # Load lora conditions into the model
             if extra_conditioning_info.wants_cross_attention_control:
-                cross_attention_control_context = Context(
+                self.cross_attention_control_context = Context(
                     arguments=extra_conditioning_info.cross_attention_control_args,
                     step_count=step_count,
                 )
                 setup_cross_attention_control_attention_processors(
                     unet,
-                    cross_attention_control_context,
+                    self.cross_attention_control_context,
                 )
 
         try:
             yield None
         finally:
+            self.cross_attention_control_context = None
             if old_attn_processors is not None:
                 unet.set_attn_processor(old_attn_processors)
             # TODO resuscitate attention map saving

From 118d5b387b05c1e906cb186c1a7540379e13cc01 Mon Sep 17 00:00:00 2001
From: Brandon Rising <brandon@invoke.ai>
Date: Tue, 1 Aug 2023 16:22:20 -0400
Subject: [PATCH 045/287] deploy: refactor github workflows

Currently we use some workflow trigger conditionals to run either a real test workflow (installing the app and running it) or a fake workflow, disguised as the real one, that just auto-passes.

This change refactors the workflow to use a single workflow that can be skipped, using another github action to determine which things to run depending on the paths changed.
---
 .github/workflows/style-checks.yml         |  1 -
 .github/workflows/test-invoke-pip-skip.yml | 50 ----------------------
 .github/workflows/test-invoke-pip.yml      | 24 +++++++----
 3 files changed, 15 insertions(+), 60 deletions(-)
 delete mode 100644 .github/workflows/test-invoke-pip-skip.yml

diff --git a/.github/workflows/style-checks.yml b/.github/workflows/style-checks.yml
index 0bb19e95e5..d29b489418 100644
--- a/.github/workflows/style-checks.yml
+++ b/.github/workflows/style-checks.yml
@@ -6,7 +6,6 @@ on:
   pull_request:
   push:
     branches: main
-    tags: "*"
 
 jobs:
   black:
diff --git a/.github/workflows/test-invoke-pip-skip.yml b/.github/workflows/test-invoke-pip-skip.yml
deleted file mode 100644
index 004b46d5a8..0000000000
--- a/.github/workflows/test-invoke-pip-skip.yml
+++ /dev/null
@@ -1,50 +0,0 @@
-name: Test invoke.py pip
-
-# This is a dummy stand-in for the actual tests
-# we don't need to run python tests on non-Python changes
-# But PRs require passing tests to be mergeable
-
-on:
-  pull_request:
-    paths:
-      - '**'
-      - '!pyproject.toml'
-      - '!invokeai/**'
-      - '!tests/**'
-      - 'invokeai/frontend/web/**'
-  merge_group:
-  workflow_dispatch:
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
-  cancel-in-progress: true
-
-jobs:
-  matrix:
-    if: github.event.pull_request.draft == false
-    strategy:
-      matrix:
-        python-version:
-          - '3.10'
-        pytorch:
-          - linux-cuda-11_7
-          - linux-rocm-5_2
-          - linux-cpu
-          - macos-default
-          - windows-cpu
-        include:
-          - pytorch: linux-cuda-11_7
-            os: ubuntu-22.04
-          - pytorch: linux-rocm-5_2
-            os: ubuntu-22.04
-          - pytorch: linux-cpu
-            os: ubuntu-22.04
-          - pytorch: macos-default
-            os: macOS-12
-          - pytorch: windows-cpu
-            os: windows-2022
-    name: ${{ matrix.pytorch }} on ${{ matrix.python-version }}
-    runs-on: ${{ matrix.os }}
-    steps:
-      - name: skip
-        run: echo "no build required"
diff --git a/.github/workflows/test-invoke-pip.yml b/.github/workflows/test-invoke-pip.yml
index 40be0a529e..6086d10069 100644
--- a/.github/workflows/test-invoke-pip.yml
+++ b/.github/workflows/test-invoke-pip.yml
@@ -3,16 +3,7 @@ on:
   push:
     branches:
       - 'main'
-    paths:
-      - 'pyproject.toml'
-      - 'invokeai/**'
-      - '!invokeai/frontend/web/**'
   pull_request:
-    paths:
-      - 'pyproject.toml'
-      - 'invokeai/**'
-      - 'tests/**'
-      - '!invokeai/frontend/web/**'
     types:
       - 'ready_for_review'
       - 'opened'
@@ -65,10 +56,23 @@ jobs:
         id: checkout-sources
         uses: actions/checkout@v3
 
+      - name: Check for changed python files
+        id: changed-files
+        uses: tj-actions/changed-files@v37
+        with:
+          files_yaml: |
+            python:
+              - 'pyproject.toml'
+              - 'invokeai/**'
+              - '!invokeai/frontend/web/**'
+              - 'tests/**'
+
       - name: set test prompt to main branch validation
+        if: steps.changed-files.outputs.python_any_changed == 'true'
         run: echo "TEST_PROMPTS=tests/validate_pr_prompt.txt" >> ${{ matrix.github-env }}
 
       - name: setup python
+        if: steps.changed-files.outputs.python_any_changed == 'true'
         uses: actions/setup-python@v4
         with:
           python-version: ${{ matrix.python-version }}
@@ -76,6 +80,7 @@ jobs:
           cache-dependency-path: pyproject.toml
 
       - name: install invokeai
+        if: steps.changed-files.outputs.python_any_changed == 'true'
         env:
           PIP_EXTRA_INDEX_URL: ${{ matrix.extra-index-url }}
         run: >
@@ -83,6 +88,7 @@ jobs:
           --editable=".[test]"
 
       - name: run pytest
+        if: steps.changed-files.outputs.python_any_changed == 'true'
         id: run-pytest
         run: pytest
 

From a6f9396a3021f561dda0ddd5e35bdc2d07207bbd Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Tue, 1 Aug 2023 18:08:17 +1000
Subject: [PATCH 046/287] fix(db): retrieve metadata even when no `session_id`

this was unnecessarily skipped if there was no `session_id`.
---
 invokeai/app/services/images.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/services/images.py b/invokeai/app/services/images.py
index f8376eb626..2240846dac 100644
--- a/invokeai/app/services/images.py
+++ b/invokeai/app/services/images.py
@@ -289,9 +289,10 @@ class ImageService(ImageServiceABC):
     def get_metadata(self, image_name: str) -> Optional[ImageMetadata]:
         try:
             image_record = self._services.image_records.get(image_name)
+            metadata = self._services.image_records.get_metadata(image_name)
 
             if not image_record.session_id:
-                return ImageMetadata()
+                return ImageMetadata(metadata=metadata)
 
             session_raw = self._services.graph_execution_manager.get_raw(image_record.session_id)
             graph = None
@@ -303,7 +304,6 @@ class ImageService(ImageServiceABC):
                     self._services.logger.warn(f"Failed to parse session graph: {e}")
                     graph = None
 
-            metadata = self._services.image_records.get_metadata(image_name)
             return ImageMetadata(graph=graph, metadata=metadata)
         except ImageRecordNotFoundException:
             self._services.logger.error("Image record not found")

From 5c9787c14540190a4960edd483cf328da2097012 Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Wed, 2 Aug 2023 09:46:29 -0400
Subject: [PATCH 047/287] add project-id header to requests

---
 .../frontend/web/src/app/components/InvokeAIUI.tsx   | 11 +++++++++--
 invokeai/frontend/web/src/services/api/client.ts     | 12 ++++++++++--
 invokeai/frontend/web/src/services/api/index.ts      |  6 +++++-
 3 files changed, 24 insertions(+), 5 deletions(-)

diff --git a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
index 7df390bce6..d6e6c42728 100644
--- a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
+++ b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
@@ -13,7 +13,7 @@ import { addMiddleware, resetMiddlewares } from 'redux-dynamic-middlewares';
 import Loading from '../../common/components/Loading/Loading';
 
 import { Middleware } from '@reduxjs/toolkit';
-import { $authToken, $baseUrl } from 'services/api/client';
+import { $authToken, $baseUrl, $projectId } from 'services/api/client';
 import { socketMiddleware } from 'services/events/middleware';
 import '../../i18n';
 import { AddImageToBoardContextProvider } from '../contexts/AddImageToBoardContext';
@@ -37,6 +37,7 @@ const InvokeAIUI = ({
   config,
   headerComponent,
   middleware,
+  projectId,
 }: Props) => {
   useEffect(() => {
     // configure API client token
@@ -49,6 +50,11 @@ const InvokeAIUI = ({
       $baseUrl.set(apiUrl);
     }
 
+    // configure API client project header
+    if (apiUrl) {
+      $projectId.set(projectId);
+    }
+
     // reset dynamically added middlewares
     resetMiddlewares();
 
@@ -68,8 +74,9 @@ const InvokeAIUI = ({
       // Reset the API client token and base url on unmount
       $baseUrl.set(undefined);
       $authToken.set(undefined);
+      $projectId.set(undefined);
     };
-  }, [apiUrl, token, middleware]);
+  }, [apiUrl, token, middleware, projectId]);
 
   return (
     <React.StrictMode>
diff --git a/invokeai/frontend/web/src/services/api/client.ts b/invokeai/frontend/web/src/services/api/client.ts
index dd4caa460e..87deda7d36 100644
--- a/invokeai/frontend/web/src/services/api/client.ts
+++ b/invokeai/frontend/web/src/services/api/client.ts
@@ -16,6 +16,11 @@ export const $authToken = atom<string | undefined>();
  */
 export const $baseUrl = atom<string | undefined>();
 
+/**
+ * The optional project-id header.
+ */
+export const $projectId = atom<string | undefined>();
+
 /**
  * Autogenerated, type-safe fetch client for the API. Used when RTK Query is not an option.
  * Dynamically updates when the token or base url changes.
@@ -24,9 +29,12 @@ export const $baseUrl = atom<string | undefined>();
  * @example
  * const { get, post, del } = $client.get();
  */
-export const $client = computed([$authToken, $baseUrl], (authToken, baseUrl) =>
+export const $client = computed([$authToken, $baseUrl, $projectId], (authToken, baseUrl, projectId) =>
   createClient<paths>({
-    headers: authToken ? { Authorization: `Bearer ${authToken}` } : {},
+    headers: {
+      ...(authToken ? { Authorization: `Bearer ${authToken}` } : {}),
+      ...(projectId ? { "project-id": projectId } : {})
+    },
     // do not include `api/v1` in the base url for this client
     baseUrl: `${baseUrl ?? ''}`,
   })
diff --git a/invokeai/frontend/web/src/services/api/index.ts b/invokeai/frontend/web/src/services/api/index.ts
index 0a0391898c..a9de7130c9 100644
--- a/invokeai/frontend/web/src/services/api/index.ts
+++ b/invokeai/frontend/web/src/services/api/index.ts
@@ -6,7 +6,7 @@ import {
   createApi,
   fetchBaseQuery,
 } from '@reduxjs/toolkit/query/react';
-import { $authToken, $baseUrl } from 'services/api/client';
+import { $authToken, $baseUrl, $projectId } from 'services/api/client';
 
 export const tagTypes = [
   'Board',
@@ -30,6 +30,7 @@ const dynamicBaseQuery: BaseQueryFn<
 > = async (args, api, extraOptions) => {
   const baseUrl = $baseUrl.get();
   const authToken = $authToken.get();
+  const projectId = $projectId.get();
 
   const rawBaseQuery = fetchBaseQuery({
     baseUrl: `${baseUrl ?? ''}/api/v1`,
@@ -37,6 +38,9 @@ const dynamicBaseQuery: BaseQueryFn<
       if (authToken) {
         headers.set('Authorization', `Bearer ${authToken}`);
       }
+      if (projectId) {
+        headers.set("project-id", projectId)
+      }
 
       return headers;
     },

From b3b94b5a8d20daf428791b8dc15274c4cd9871d6 Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Wed, 2 Aug 2023 09:52:54 -0400
Subject: [PATCH 048/287] use correct prop

---
 invokeai/frontend/web/src/app/components/InvokeAIUI.tsx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
index d6e6c42728..cffbaa5574 100644
--- a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
+++ b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
@@ -51,7 +51,7 @@ const InvokeAIUI = ({
     }
 
     // configure API client project header
-    if (apiUrl) {
+    if (projectId) {
       $projectId.set(projectId);
     }
 

From eeef1e08f827eb404bd8b53c91007e089ab8fd96 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Sun, 30 Jul 2023 18:20:12 -0400
Subject: [PATCH 049/287] restore ability to convert merged inpaint
 .safetensors files

---
 invokeai/backend/model_management/models/base.py             | 5 +++--
 invokeai/backend/model_management/models/stable_diffusion.py | 5 ++++-
 2 files changed, 7 insertions(+), 3 deletions(-)

diff --git a/invokeai/backend/model_management/models/base.py b/invokeai/backend/model_management/models/base.py
index e6a20e79ec..1219d4277d 100644
--- a/invokeai/backend/model_management/models/base.py
+++ b/invokeai/backend/model_management/models/base.py
@@ -292,8 +292,9 @@ class DiffusersModel(ModelBase):
                 )
                 break
             except Exception as e:
-                # print("====ERR LOAD====")
-                # print(f"{variant}: {e}")
+                if not str(e).startswith('Error no file'):
+                    print("====ERR LOAD====")
+                    print(f"{variant}: {e}")
                 pass
         else:
             raise Exception(f"Failed to load {self.base_model}:{self.model_type}:{child_type} model")
diff --git a/invokeai/backend/model_management/models/stable_diffusion.py b/invokeai/backend/model_management/models/stable_diffusion.py
index d81b0150e5..9e0c130e6a 100644
--- a/invokeai/backend/model_management/models/stable_diffusion.py
+++ b/invokeai/backend/model_management/models/stable_diffusion.py
@@ -4,6 +4,7 @@ from enum import Enum
 from pydantic import Field
 from pathlib import Path
 from typing import Literal, Optional, Union
+from diffusers import StableDiffusionInpaintPipeline, StableDiffusionPipeline
 from .base import (
     ModelConfigBase,
     BaseModelType,
@@ -21,7 +22,6 @@ import invokeai.backend.util.logging as logger
 from invokeai.app.services.config import InvokeAIAppConfig
 from omegaconf import OmegaConf
 
-
 class StableDiffusion1ModelFormat(str, Enum):
     Checkpoint = "checkpoint"
     Diffusers = "diffusers"
@@ -263,6 +263,8 @@ def _convert_ckpt_and_cache(
     weights = app_config.models_path / model_config.path
     config_file = app_config.root_path / model_config.config
     output_path = Path(output_path)
+    variant = model_config.variant
+    pipeline_class = StableDiffusionInpaintPipeline if variant=='inpaint' else StableDiffusionPipeline
 
     # return cached version if it exists
     if output_path.exists():
@@ -289,6 +291,7 @@ def _convert_ckpt_and_cache(
             original_config_file=config_file,
             extract_ema=True,
             scan_needed=True,
+            pipeline_class=pipeline_class,
             from_safetensors=weights.suffix == ".safetensors",
             precision=torch_dtype(choose_torch_device()),
             **kwargs,

From e080fd1e08a676d412108bb2ecf27e559c0bfc70 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Sun, 30 Jul 2023 19:18:05 -0400
Subject: [PATCH 050/287] blackify

---
 invokeai/backend/model_management/models/base.py             | 2 +-
 invokeai/backend/model_management/models/stable_diffusion.py | 3 ++-
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/invokeai/backend/model_management/models/base.py b/invokeai/backend/model_management/models/base.py
index 1219d4277d..d335b645c8 100644
--- a/invokeai/backend/model_management/models/base.py
+++ b/invokeai/backend/model_management/models/base.py
@@ -292,7 +292,7 @@ class DiffusersModel(ModelBase):
                 )
                 break
             except Exception as e:
-                if not str(e).startswith('Error no file'):
+                if not str(e).startswith("Error no file"):
                     print("====ERR LOAD====")
                     print(f"{variant}: {e}")
                 pass
diff --git a/invokeai/backend/model_management/models/stable_diffusion.py b/invokeai/backend/model_management/models/stable_diffusion.py
index 9e0c130e6a..a112e8bc96 100644
--- a/invokeai/backend/model_management/models/stable_diffusion.py
+++ b/invokeai/backend/model_management/models/stable_diffusion.py
@@ -22,6 +22,7 @@ import invokeai.backend.util.logging as logger
 from invokeai.app.services.config import InvokeAIAppConfig
 from omegaconf import OmegaConf
 
+
 class StableDiffusion1ModelFormat(str, Enum):
     Checkpoint = "checkpoint"
     Diffusers = "diffusers"
@@ -264,7 +265,7 @@ def _convert_ckpt_and_cache(
     config_file = app_config.root_path / model_config.config
     output_path = Path(output_path)
     variant = model_config.variant
-    pipeline_class = StableDiffusionInpaintPipeline if variant=='inpaint' else StableDiffusionPipeline
+    pipeline_class = StableDiffusionInpaintPipeline if variant == "inpaint" else StableDiffusionPipeline
 
     # return cached version if it exists
     if output_path.exists():

From bf94412d1499e48d6bd9dfa415ff7f1aeead6710 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 31 Jul 2023 18:16:52 +1000
Subject: [PATCH 051/287] feat: add multi-select to gallery

multi-select actions include:
- drag to board to move all to that board
- right click to add all to board or delete all

backend changes:
- add routes for changing board for list of image names, deleting list of images
- change image-specific routes to `images/i/{image_name}` to not clobber other routes (like `images/upload`, `images/delete`)
- subclass pydantic `BaseModel` as `BaseModelExcludeNull`, which excludes null values when calling `dict()` on the model. this fixes inconsistent types related to JSON parsing null values into `null` instead of `undefined`
- remove `board_id` from `remove_image_from_board`

frontend changes:
- multi-selection stuff uses `ImageDTO[]` as payloads, for dnd and other mutations. this gives us access to image `board_id`s when hitting routes, and enables efficient cache updates.
- consolidate change board and delete image modals to handle single and multiples
- board totals are now re-fetched on mutation and not kept in sync manually - was way too tedious to do this
- fixed warning about nested `<p>` elements
- closes #4088 , need to handle case when `autoAddBoardId` is `"none"`
- add option to show gallery image delete button on every gallery image

frontend refactors/organisation:
- make typegen script js instead of ts
- enable `noUncheckedIndexedAccess` to help avoid bugs when indexing into arrays, many small changes needed to satisfy TS after this
- move all image-related endpoints into `endpoints/images.ts`, its a big file now, but this fixes a number of circular dependency issues that were otherwise felt impossible to resolve
---
 invokeai/app/api/routers/board_images.py      |  92 +-
 invokeai/app/api/routers/images.py            |  38 +-
 invokeai/app/invocations/metadata.py          |   9 +-
 .../services/board_image_record_storage.py    |   6 +-
 invokeai/app/services/board_images.py         |   4 +-
 invokeai/app/services/models/board_image.py   |   8 +
 invokeai/app/services/models/board_record.py  |   5 +-
 invokeai/app/services/models/image_record.py  |  15 +-
 invokeai/app/services/urls.py                 |   4 +-
 invokeai/app/util/model_exclude_null.py       |  23 +
 invokeai/frontend/web/package.json            |   2 +-
 .../web/scripts/{typegen.ts => typegen.js}    |   0
 .../frontend/web/src/app/components/App.tsx   |   6 +-
 .../app/components/ImageDnd/DragPreview.tsx   |   4 +-
 .../components/ImageDnd/ImageDndContext.tsx   |  25 +-
 .../app/components/ImageDnd/typesafeDnd.tsx   |  69 +-
 .../web/src/app/components/InvokeAIUI.tsx     |  13 +-
 .../app/contexts/AddImageToBoardContext.tsx   |  91 --
 .../contexts/ImageUploaderTriggerContext.ts   |   8 -
 .../enhancers/reduxRemember/serialize.ts      |   2 +-
 .../middleware/listenerMiddleware/index.ts    |   6 +-
 .../addFirstListImagesListener.ts.ts          |  11 +-
 .../listeners/appConfigReceived.ts            |   4 +-
 .../listeners/boardAndImagesDeleted.ts        |   6 +-
 .../listeners/boardIdSelected.ts              |   6 +-
 .../listeners/canvasSavedToGallery.ts         |   4 +-
 .../listeners/controlNetAutoProcess.ts        |  11 +-
 .../listeners/controlNetImageProcessed.ts     |   2 +-
 .../listeners/imageDeleted.ts                 | 113 ++-
 .../listeners/imageDropped.ts                 | 216 ++---
 .../listeners/imageToDeleteSelected.ts        |  29 +-
 .../listeners/imageUploaded.ts                |  14 +-
 .../listeners/modelsLoaded.ts                 |   7 +-
 .../socketio/socketInvocationComplete.ts      |  16 +-
 invokeai/frontend/web/src/app/store/store.ts  |   8 +-
 .../src/common/components/IAIDropOverlay.tsx  |   6 +-
 .../components/IAIMantineSearchableSelect.tsx |   4 +-
 .../src/common/components/ImageUploader.tsx   |   2 +-
 .../src/common/hooks/useImageUploadButton.tsx |   2 +-
 .../canvas/hooks/useColorUnderCursor.ts       |   4 +
 .../src/features/canvas/store/canvasSlice.ts  |   9 +-
 .../components/ChangeBoardModal.tsx           | 132 +++
 .../changeBoardModal/store/initialState.ts    |   6 +
 .../features/changeBoardModal/store/slice.ts  |  25 +
 .../features/changeBoardModal/store/types.ts  |   6 +
 .../controlNet/components/ControlNet.tsx      |  38 +-
 .../components/ControlNetImagePreview.tsx     |  63 +-
 .../ControlNetProcessorComponent.tsx          |  28 +-
 .../ParamControlNetShouldAutoConfig.tsx       |  29 +-
 .../parameters/ParamControlNetBeginEnd.tsx    |  41 +-
 .../parameters/ParamControlNetControlMode.tsx |  27 +-
 .../parameters/ParamControlNetModel.tsx       |  35 +-
 .../ParamControlNetProcessorSelect.tsx        |  26 +-
 .../parameters/ParamControlNetResizeMode.tsx  |  27 +-
 .../parameters/ParamControlNetWeight.tsx      |  30 +-
 .../features/controlNet/store/constants.ts    |   2 +-
 .../controlNet/store/controlNetSlice.ts       | 159 ++--
 .../components/DeleteImageButton.tsx          |   0
 .../components/DeleteImageModal.tsx           |  51 +-
 .../components/ImageUsageMessage.tsx          |   0
 .../store/actions.ts                          |   6 +-
 .../deleteImageModal/store/initialState.ts    |   6 +
 .../store/selectors.ts}                       |  14 +-
 .../features/deleteImageModal/store/slice.ts  |  28 +
 .../features/deleteImageModal/store/types.ts  |  13 +
 .../components/Boards/BoardAutoAddSelect.tsx  |   2 +-
 .../components/Boards/BoardContextMenu.tsx    |   3 +-
 .../Boards/BoardsList/BatchBoard.tsx          |  43 -
 .../Boards/BoardsList/BoardsList.tsx          |  15 +-
 .../Boards/BoardsList/BoardsSearch.tsx        |  18 +-
 .../Boards/BoardsList/GalleryBoard.tsx        | 241 +++---
 .../Boards/BoardsList/NoBoardBoard.tsx        |  43 +-
 .../components/Boards/DeleteBoardModal.tsx    |  25 +-
 .../Boards/UpdateImageBoardModal.tsx          |  93 ---
 .../CurrentImage/CurrentImageButtons.tsx      |  12 +-
 .../CurrentImage/CurrentImagePreview.tsx      |   8 +-
 .../components/GallerySettingsPopover.tsx     |  58 +-
 .../ImageContextMenu/ImageContextMenu.tsx     |  55 +-
 .../MultipleSelectionMenuItems.tsx            |  36 +-
 .../SingleSelectionMenuItems.tsx              |  80 +-
 .../components/ImageGalleryContent.tsx        |  13 +-
 .../components/ImageGrid/BatchImage.tsx       | 122 ---
 .../components/ImageGrid/BatchImageGrid.tsx   |  87 --
 .../components/ImageGrid/GalleryImage.tsx     |  63 +-
 .../ImageMetadataActions.tsx                  |   2 +-
 .../gallery/hooks/useMultiselect.ts.ts        |  93 +++
 .../gallery/hooks/useNextPrevImage.ts         |  62 +-
 .../web/src/features/gallery/store/actions.ts |   2 +-
 .../src/features/gallery/store/boardSlice.ts  |  29 -
 .../gallery/store/gallerySelectors.ts         |   4 +-
 .../features/gallery/store/gallerySlice.ts    | 111 +--
 .../web/src/features/gallery/store/types.ts   |  13 +-
 .../imageDeletion/store/imageDeletionSlice.ts |  37 -
 .../src/features/imageDeletion/store/types.ts |   6 -
 .../web/src/features/lora/store/loraSlice.ts  |  12 +-
 .../nodes/components/search/NodeSearch.tsx    |  10 +-
 .../src/features/nodes/store/nodesSlice.ts    |  24 +-
 .../nodes/util/fieldTemplateBuilders.ts       |  25 +-
 .../ControlNet/ParamControlNetCollapse.tsx    |  11 +-
 .../parameters/hooks/useRecallParameters.ts   |   2 +-
 .../AddModelsPanel/AdvancedAddCheckpoint.tsx  |   4 +-
 .../AddModelsPanel/AdvancedAddDiffusers.tsx   |   2 +-
 .../subpanels/MergeModelsPanel.tsx            |   9 +-
 .../ModelManagerPanel/ModelConvert.tsx        |  16 +-
 .../web/src/features/ui/store/uiSelectors.ts  |   4 +-
 .../src/services/api/endpoints/boardImages.ts |  36 -
 .../web/src/services/api/endpoints/boards.ts  | 223 +----
 .../web/src/services/api/endpoints/images.ts  | 786 +++++++++++++-----
 .../web/src/services/api/endpoints/models.ts  |  15 +-
 .../src/services/api/hooks/useBoardName.ts    |   2 +-
 .../src/services/api/hooks/useBoardTotal.ts   |   2 +-
 .../frontend/web/src/services/api/schema.d.ts | 302 +++++--
 .../src/services/api/{types.d.ts => types.ts} |  34 +-
 .../frontend/web/src/services/api/util.ts     |  56 ++
 .../src/theme/util/generateColorPalette.ts    |   2 +-
 invokeai/frontend/web/tsconfig.json           |   2 +
 116 files changed, 2470 insertions(+), 2181 deletions(-)
 create mode 100644 invokeai/app/services/models/board_image.py
 create mode 100644 invokeai/app/util/model_exclude_null.py
 rename invokeai/frontend/web/scripts/{typegen.ts => typegen.js} (100%)
 delete mode 100644 invokeai/frontend/web/src/app/contexts/AddImageToBoardContext.tsx
 delete mode 100644 invokeai/frontend/web/src/app/contexts/ImageUploaderTriggerContext.ts
 create mode 100644 invokeai/frontend/web/src/features/changeBoardModal/components/ChangeBoardModal.tsx
 create mode 100644 invokeai/frontend/web/src/features/changeBoardModal/store/initialState.ts
 create mode 100644 invokeai/frontend/web/src/features/changeBoardModal/store/slice.ts
 create mode 100644 invokeai/frontend/web/src/features/changeBoardModal/store/types.ts
 rename invokeai/frontend/web/src/features/{imageDeletion => deleteImageModal}/components/DeleteImageButton.tsx (100%)
 rename invokeai/frontend/web/src/features/{imageDeletion => deleteImageModal}/components/DeleteImageModal.tsx (70%)
 rename invokeai/frontend/web/src/features/{imageDeletion => deleteImageModal}/components/ImageUsageMessage.tsx (100%)
 rename invokeai/frontend/web/src/features/{imageDeletion => deleteImageModal}/store/actions.ts (65%)
 create mode 100644 invokeai/frontend/web/src/features/deleteImageModal/store/initialState.ts
 rename invokeai/frontend/web/src/features/{imageDeletion/store/imageDeletionSelectors.ts => deleteImageModal/store/selectors.ts} (84%)
 create mode 100644 invokeai/frontend/web/src/features/deleteImageModal/store/slice.ts
 create mode 100644 invokeai/frontend/web/src/features/deleteImageModal/store/types.ts
 delete mode 100644 invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BatchBoard.tsx
 delete mode 100644 invokeai/frontend/web/src/features/gallery/components/Boards/UpdateImageBoardModal.tsx
 delete mode 100644 invokeai/frontend/web/src/features/gallery/components/ImageGrid/BatchImage.tsx
 delete mode 100644 invokeai/frontend/web/src/features/gallery/components/ImageGrid/BatchImageGrid.tsx
 create mode 100644 invokeai/frontend/web/src/features/gallery/hooks/useMultiselect.ts.ts
 delete mode 100644 invokeai/frontend/web/src/features/gallery/store/boardSlice.ts
 delete mode 100644 invokeai/frontend/web/src/features/imageDeletion/store/imageDeletionSlice.ts
 delete mode 100644 invokeai/frontend/web/src/features/imageDeletion/store/types.ts
 delete mode 100644 invokeai/frontend/web/src/services/api/endpoints/boardImages.ts
 rename invokeai/frontend/web/src/services/api/{types.d.ts => types.ts} (89%)
 create mode 100644 invokeai/frontend/web/src/services/api/util.ts

diff --git a/invokeai/app/api/routers/board_images.py b/invokeai/app/api/routers/board_images.py
index 6cb073ca7c..73607ecb7d 100644
--- a/invokeai/app/api/routers/board_images.py
+++ b/invokeai/app/api/routers/board_images.py
@@ -1,24 +1,30 @@
-from fastapi import Body, HTTPException, Path, Query
+from fastapi import Body, HTTPException
 from fastapi.routing import APIRouter
-from invokeai.app.services.board_record_storage import BoardRecord, BoardChanges
-from invokeai.app.services.image_record_storage import OffsetPaginatedResults
-from invokeai.app.services.models.board_record import BoardDTO
-from invokeai.app.services.models.image_record import ImageDTO
+from pydantic import BaseModel, Field
 
 from ..dependencies import ApiDependencies
 
 board_images_router = APIRouter(prefix="/v1/board_images", tags=["boards"])
 
 
+class AddImagesToBoardResult(BaseModel):
+    board_id: str = Field(description="The id of the board the images were added to")
+    added_image_names: list[str] = Field(description="The image names that were added to the board")
+
+
+class RemoveImagesFromBoardResult(BaseModel):
+    removed_image_names: list[str] = Field(description="The image names that were removed from their board")
+
+
 @board_images_router.post(
     "/",
-    operation_id="create_board_image",
+    operation_id="add_image_to_board",
     responses={
         201: {"description": "The image was added to a board successfully"},
     },
     status_code=201,
 )
-async def create_board_image(
+async def add_image_to_board(
     board_id: str = Body(description="The id of the board to add to"),
     image_name: str = Body(description="The name of the image to add"),
 ):
@@ -29,26 +35,78 @@ async def create_board_image(
         )
         return result
     except Exception as e:
-        raise HTTPException(status_code=500, detail="Failed to add to board")
+        raise HTTPException(status_code=500, detail="Failed to add image to board")
 
 
 @board_images_router.delete(
     "/",
-    operation_id="remove_board_image",
+    operation_id="remove_image_from_board",
     responses={
         201: {"description": "The image was removed from the board successfully"},
     },
     status_code=201,
 )
-async def remove_board_image(
-    board_id: str = Body(description="The id of the board"),
-    image_name: str = Body(description="The name of the image to remove"),
+async def remove_image_from_board(
+    image_name: str = Body(description="The name of the image to remove", embed=True),
 ):
-    """Deletes a board_image"""
+    """Removes an image from its board, if it had one"""
     try:
-        result = ApiDependencies.invoker.services.board_images.remove_image_from_board(
-            board_id=board_id, image_name=image_name
-        )
+        result = ApiDependencies.invoker.services.board_images.remove_image_from_board(image_name=image_name)
         return result
     except Exception as e:
-        raise HTTPException(status_code=500, detail="Failed to update board")
+        raise HTTPException(status_code=500, detail="Failed to remove image from board")
+
+
+@board_images_router.post(
+    "/batch",
+    operation_id="add_images_to_board",
+    responses={
+        201: {"description": "Images were added to board successfully"},
+    },
+    status_code=201,
+    response_model=AddImagesToBoardResult,
+)
+async def add_images_to_board(
+    board_id: str = Body(description="The id of the board to add to"),
+    image_names: list[str] = Body(description="The names of the images to add", embed=True),
+) -> AddImagesToBoardResult:
+    """Adds a list of images to a board"""
+    try:
+        added_image_names: list[str] = []
+        for image_name in image_names:
+            try:
+                ApiDependencies.invoker.services.board_images.add_image_to_board(
+                    board_id=board_id, image_name=image_name
+                )
+                added_image_names.append(image_name)
+            except:
+                pass
+        return AddImagesToBoardResult(board_id=board_id, added_image_names=added_image_names)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail="Failed to add images to board")
+
+
+@board_images_router.post(
+    "/batch/delete",
+    operation_id="remove_images_from_board",
+    responses={
+        201: {"description": "Images were removed from board successfully"},
+    },
+    status_code=201,
+    response_model=RemoveImagesFromBoardResult,
+)
+async def remove_images_from_board(
+    image_names: list[str] = Body(description="The names of the images to remove", embed=True),
+) -> RemoveImagesFromBoardResult:
+    """Removes a list of images from their board, if they had one"""
+    try:
+        removed_image_names: list[str] = []
+        for image_name in image_names:
+            try:
+                ApiDependencies.invoker.services.board_images.remove_image_from_board(image_name=image_name)
+                removed_image_names.append(image_name)
+            except:
+                pass
+        return RemoveImagesFromBoardResult(removed_image_names=removed_image_names)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail="Failed to remove images from board")
diff --git a/invokeai/app/api/routers/images.py b/invokeai/app/api/routers/images.py
index 498a1139e4..aff409e9e5 100644
--- a/invokeai/app/api/routers/images.py
+++ b/invokeai/app/api/routers/images.py
@@ -5,6 +5,7 @@ from fastapi import Body, HTTPException, Path, Query, Request, Response, UploadF
 from fastapi.responses import FileResponse
 from fastapi.routing import APIRouter
 from PIL import Image
+from pydantic import BaseModel, Field
 
 from invokeai.app.invocations.metadata import ImageMetadata
 from invokeai.app.models.image import ImageCategory, ResourceOrigin
@@ -25,7 +26,7 @@ IMAGE_MAX_AGE = 31536000
 
 
 @images_router.post(
-    "/",
+    "/upload",
     operation_id="upload_image",
     responses={
         201: {"description": "The image was uploaded successfully"},
@@ -77,7 +78,7 @@ async def upload_image(
         raise HTTPException(status_code=500, detail="Failed to create image")
 
 
-@images_router.delete("/{image_name}", operation_id="delete_image")
+@images_router.delete("/i/{image_name}", operation_id="delete_image")
 async def delete_image(
     image_name: str = Path(description="The name of the image to delete"),
 ) -> None:
@@ -103,7 +104,7 @@ async def clear_intermediates() -> int:
 
 
 @images_router.patch(
-    "/{image_name}",
+    "/i/{image_name}",
     operation_id="update_image",
     response_model=ImageDTO,
 )
@@ -120,7 +121,7 @@ async def update_image(
 
 
 @images_router.get(
-    "/{image_name}",
+    "/i/{image_name}",
     operation_id="get_image_dto",
     response_model=ImageDTO,
 )
@@ -136,7 +137,7 @@ async def get_image_dto(
 
 
 @images_router.get(
-    "/{image_name}/metadata",
+    "/i/{image_name}/metadata",
     operation_id="get_image_metadata",
     response_model=ImageMetadata,
 )
@@ -152,7 +153,7 @@ async def get_image_metadata(
 
 
 @images_router.get(
-    "/{image_name}/full",
+    "/i/{image_name}/full",
     operation_id="get_image_full",
     response_class=Response,
     responses={
@@ -187,7 +188,7 @@ async def get_image_full(
 
 
 @images_router.get(
-    "/{image_name}/thumbnail",
+    "/i/{image_name}/thumbnail",
     operation_id="get_image_thumbnail",
     response_class=Response,
     responses={
@@ -216,7 +217,7 @@ async def get_image_thumbnail(
 
 
 @images_router.get(
-    "/{image_name}/urls",
+    "/i/{image_name}/urls",
     operation_id="get_image_urls",
     response_model=ImageUrlsDTO,
 )
@@ -265,3 +266,24 @@ async def list_image_dtos(
     )
 
     return image_dtos
+
+
+class DeleteImagesFromListResult(BaseModel):
+    deleted_images: list[str]
+
+
+@images_router.post("/delete", operation_id="delete_images_from_list", response_model=DeleteImagesFromListResult)
+async def delete_images_from_list(
+    image_names: list[str] = Body(description="The list of names of images to delete", embed=True),
+) -> DeleteImagesFromListResult:
+    try:
+        deleted_images: list[str] = []
+        for image_name in image_names:
+            try:
+                ApiDependencies.invoker.services.images.delete(image_name)
+                deleted_images.append(image_name)
+            except:
+                pass
+        return DeleteImagesFromListResult(deleted_images=deleted_images)
+    except Exception as e:
+        raise HTTPException(status_code=500, detail="Failed to delete images")
diff --git a/invokeai/app/invocations/metadata.py b/invokeai/app/invocations/metadata.py
index 3588ef4ebe..f91e6cc4c7 100644
--- a/invokeai/app/invocations/metadata.py
+++ b/invokeai/app/invocations/metadata.py
@@ -1,6 +1,6 @@
 from typing import Literal, Optional, Union
 
-from pydantic import BaseModel, Field
+from pydantic import Field
 
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
@@ -10,16 +10,17 @@ from invokeai.app.invocations.baseinvocation import (
 )
 from invokeai.app.invocations.controlnet_image_processors import ControlField
 from invokeai.app.invocations.model import LoRAModelField, MainModelField, VAEModelField
+from invokeai.app.util.model_exclude_null import BaseModelExcludeNull
 
 
-class LoRAMetadataField(BaseModel):
+class LoRAMetadataField(BaseModelExcludeNull):
     """LoRA metadata for an image generated in InvokeAI."""
 
     lora: LoRAModelField = Field(description="The LoRA model")
     weight: float = Field(description="The weight of the LoRA model")
 
 
-class CoreMetadata(BaseModel):
+class CoreMetadata(BaseModelExcludeNull):
     """Core generation metadata for an image generated in InvokeAI."""
 
     generation_mode: str = Field(
@@ -70,7 +71,7 @@ class CoreMetadata(BaseModel):
     refiner_start: Union[float, None] = Field(default=None, description="The start value used for refiner denoising")
 
 
-class ImageMetadata(BaseModel):
+class ImageMetadata(BaseModelExcludeNull):
     """An image's generation metadata"""
 
     metadata: Optional[dict] = Field(
diff --git a/invokeai/app/services/board_image_record_storage.py b/invokeai/app/services/board_image_record_storage.py
index f0007c8cef..03badf9866 100644
--- a/invokeai/app/services/board_image_record_storage.py
+++ b/invokeai/app/services/board_image_record_storage.py
@@ -25,7 +25,6 @@ class BoardImageRecordStorageBase(ABC):
     @abstractmethod
     def remove_image_from_board(
         self,
-        board_id: str,
         image_name: str,
     ) -> None:
         """Removes an image from a board."""
@@ -154,7 +153,6 @@ class SqliteBoardImageRecordStorage(BoardImageRecordStorageBase):
 
     def remove_image_from_board(
         self,
-        board_id: str,
         image_name: str,
     ) -> None:
         try:
@@ -162,9 +160,9 @@ class SqliteBoardImageRecordStorage(BoardImageRecordStorageBase):
             self._cursor.execute(
                 """--sql
                 DELETE FROM board_images
-                WHERE board_id = ? AND image_name = ?;
+                WHERE image_name = ?;
                 """,
-                (board_id, image_name),
+                (image_name,),
             )
             self._conn.commit()
         except sqlite3.Error as e:
diff --git a/invokeai/app/services/board_images.py b/invokeai/app/services/board_images.py
index 22332d6c29..f41526bfa7 100644
--- a/invokeai/app/services/board_images.py
+++ b/invokeai/app/services/board_images.py
@@ -31,7 +31,6 @@ class BoardImagesServiceABC(ABC):
     @abstractmethod
     def remove_image_from_board(
         self,
-        board_id: str,
         image_name: str,
     ) -> None:
         """Removes an image from a board."""
@@ -93,10 +92,9 @@ class BoardImagesService(BoardImagesServiceABC):
 
     def remove_image_from_board(
         self,
-        board_id: str,
         image_name: str,
     ) -> None:
-        self._services.board_image_records.remove_image_from_board(board_id, image_name)
+        self._services.board_image_records.remove_image_from_board(image_name)
 
     def get_all_board_image_names_for_board(
         self,
diff --git a/invokeai/app/services/models/board_image.py b/invokeai/app/services/models/board_image.py
new file mode 100644
index 0000000000..fe585215f3
--- /dev/null
+++ b/invokeai/app/services/models/board_image.py
@@ -0,0 +1,8 @@
+from pydantic import Field
+
+from invokeai.app.util.model_exclude_null import BaseModelExcludeNull
+
+
+class BoardImage(BaseModelExcludeNull):
+    board_id: str = Field(description="The id of the board")
+    image_name: str = Field(description="The name of the image")
diff --git a/invokeai/app/services/models/board_record.py b/invokeai/app/services/models/board_record.py
index 658698e794..53fa299faf 100644
--- a/invokeai/app/services/models/board_record.py
+++ b/invokeai/app/services/models/board_record.py
@@ -1,10 +1,11 @@
 from typing import Optional, Union
 from datetime import datetime
-from pydantic import BaseModel, Extra, Field, StrictBool, StrictStr
+from pydantic import Field
 from invokeai.app.util.misc import get_iso_timestamp
+from invokeai.app.util.model_exclude_null import BaseModelExcludeNull
 
 
-class BoardRecord(BaseModel):
+class BoardRecord(BaseModelExcludeNull):
     """Deserialized board record."""
 
     board_id: str = Field(description="The unique ID of the board.")
diff --git a/invokeai/app/services/models/image_record.py b/invokeai/app/services/models/image_record.py
index a105d03ba8..294b760630 100644
--- a/invokeai/app/services/models/image_record.py
+++ b/invokeai/app/services/models/image_record.py
@@ -1,13 +1,14 @@
 import datetime
 from typing import Optional, Union
 
-from pydantic import BaseModel, Extra, Field, StrictBool, StrictStr
+from pydantic import Extra, Field, StrictBool, StrictStr
 
 from invokeai.app.models.image import ImageCategory, ResourceOrigin
 from invokeai.app.util.misc import get_iso_timestamp
+from invokeai.app.util.model_exclude_null import BaseModelExcludeNull
 
 
-class ImageRecord(BaseModel):
+class ImageRecord(BaseModelExcludeNull):
     """Deserialized image record without metadata."""
 
     image_name: str = Field(description="The unique name of the image.")
@@ -40,7 +41,7 @@ class ImageRecord(BaseModel):
     """The node ID that generated this image, if it is a generated image."""
 
 
-class ImageRecordChanges(BaseModel, extra=Extra.forbid):
+class ImageRecordChanges(BaseModelExcludeNull, extra=Extra.forbid):
     """A set of changes to apply to an image record.
 
     Only limited changes are valid:
@@ -60,7 +61,7 @@ class ImageRecordChanges(BaseModel, extra=Extra.forbid):
     """The image's new `is_intermediate` flag."""
 
 
-class ImageUrlsDTO(BaseModel):
+class ImageUrlsDTO(BaseModelExcludeNull):
     """The URLs for an image and its thumbnail."""
 
     image_name: str = Field(description="The unique name of the image.")
@@ -76,11 +77,15 @@ class ImageDTO(ImageRecord, ImageUrlsDTO):
 
     board_id: Optional[str] = Field(description="The id of the board the image belongs to, if one exists.")
     """The id of the board the image belongs to, if one exists."""
+
     pass
 
 
 def image_record_to_dto(
-    image_record: ImageRecord, image_url: str, thumbnail_url: str, board_id: Optional[str]
+    image_record: ImageRecord,
+    image_url: str,
+    thumbnail_url: str,
+    board_id: Optional[str],
 ) -> ImageDTO:
     """Converts an image record to an image DTO."""
     return ImageDTO(
diff --git a/invokeai/app/services/urls.py b/invokeai/app/services/urls.py
index 73d8ddadf4..7688b3bdd3 100644
--- a/invokeai/app/services/urls.py
+++ b/invokeai/app/services/urls.py
@@ -20,6 +20,6 @@ class LocalUrlService(UrlServiceBase):
 
         # These paths are determined by the routes in invokeai/app/api/routers/images.py
         if thumbnail:
-            return f"{self._base_url}/images/{image_basename}/thumbnail"
+            return f"{self._base_url}/images/i/{image_basename}/thumbnail"
 
-        return f"{self._base_url}/images/{image_basename}/full"
+        return f"{self._base_url}/images/i/{image_basename}/full"
diff --git a/invokeai/app/util/model_exclude_null.py b/invokeai/app/util/model_exclude_null.py
new file mode 100644
index 0000000000..d864b8fab8
--- /dev/null
+++ b/invokeai/app/util/model_exclude_null.py
@@ -0,0 +1,23 @@
+from typing import Any
+from pydantic import BaseModel
+
+
+"""
+We want to exclude null values from objects that make their way to the client.
+
+Unfortunately there is no built-in way to do this in pydantic, so we need to override the default
+dict method to do this.
+
+From https://github.com/tiangolo/fastapi/discussions/8882#discussioncomment-5154541
+"""
+
+
+class BaseModelExcludeNull(BaseModel):
+    def dict(self, *args, **kwargs) -> dict[str, Any]:
+        """
+        Override the default dict method to exclude None values in the response
+        """
+        kwargs.pop("exclude_none", None)
+        return super().dict(*args, exclude_none=True, **kwargs)
+
+    pass
diff --git a/invokeai/frontend/web/package.json b/invokeai/frontend/web/package.json
index a76c2ecc02..8cc2c158be 100644
--- a/invokeai/frontend/web/package.json
+++ b/invokeai/frontend/web/package.json
@@ -23,7 +23,7 @@
     "dev": "concurrently \"vite dev\" \"yarn run theme:watch\"",
     "dev:host": "concurrently \"vite dev --host\" \"yarn run theme:watch\"",
     "build": "yarn run lint && vite build",
-    "typegen": "npx ts-node scripts/typegen.ts",
+    "typegen": "node scripts/typegen.js",
     "preview": "vite preview",
     "lint:madge": "madge --circular src/main.tsx",
     "lint:eslint": "eslint --max-warnings=0 .",
diff --git a/invokeai/frontend/web/scripts/typegen.ts b/invokeai/frontend/web/scripts/typegen.js
similarity index 100%
rename from invokeai/frontend/web/scripts/typegen.ts
rename to invokeai/frontend/web/scripts/typegen.js
diff --git a/invokeai/frontend/web/src/app/components/App.tsx b/invokeai/frontend/web/src/app/components/App.tsx
index 963d285f72..fa45ae93cd 100644
--- a/invokeai/frontend/web/src/app/components/App.tsx
+++ b/invokeai/frontend/web/src/app/components/App.tsx
@@ -4,8 +4,9 @@ import { appStarted } from 'app/store/middleware/listenerMiddleware/listeners/ap
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { PartialAppConfig } from 'app/types/invokeai';
 import ImageUploader from 'common/components/ImageUploader';
+import ChangeBoardModal from 'features/changeBoardModal/components/ChangeBoardModal';
+import DeleteImageModal from 'features/deleteImageModal/components/DeleteImageModal';
 import GalleryDrawer from 'features/gallery/components/GalleryPanel';
-import DeleteImageModal from 'features/imageDeletion/components/DeleteImageModal';
 import SiteHeader from 'features/system/components/SiteHeader';
 import { configChanged } from 'features/system/store/configSlice';
 import { languageSelector } from 'features/system/store/systemSelectors';
@@ -16,7 +17,6 @@ import ParametersDrawer from 'features/ui/components/ParametersDrawer';
 import i18n from 'i18n';
 import { size } from 'lodash-es';
 import { ReactNode, memo, useEffect } from 'react';
-import UpdateImageBoardModal from '../../features/gallery/components/Boards/UpdateImageBoardModal';
 import GlobalHotkeys from './GlobalHotkeys';
 import Toaster from './Toaster';
 
@@ -84,7 +84,7 @@ const App = ({ config = DEFAULT_CONFIG, headerComponent }: Props) => {
         </Portal>
       </Grid>
       <DeleteImageModal />
-      <UpdateImageBoardModal />
+      <ChangeBoardModal />
       <Toaster />
       <GlobalHotkeys />
     </>
diff --git a/invokeai/frontend/web/src/app/components/ImageDnd/DragPreview.tsx b/invokeai/frontend/web/src/app/components/ImageDnd/DragPreview.tsx
index 82526900ad..c97778ffcd 100644
--- a/invokeai/frontend/web/src/app/components/ImageDnd/DragPreview.tsx
+++ b/invokeai/frontend/web/src/app/components/ImageDnd/DragPreview.tsx
@@ -58,7 +58,7 @@ const DragPreview = (props: OverlayDragImageProps) => {
     );
   }
 
-  if (props.dragData.payloadType === 'IMAGE_NAMES') {
+  if (props.dragData.payloadType === 'IMAGE_DTOS') {
     return (
       <Flex
         sx={{
@@ -71,7 +71,7 @@ const DragPreview = (props: OverlayDragImageProps) => {
           ...STYLES,
         }}
       >
-        <Heading>{props.dragData.payload.image_names.length}</Heading>
+        <Heading>{props.dragData.payload.imageDTOs.length}</Heading>
         <Heading size="sm">Images</Heading>
       </Flex>
     );
diff --git a/invokeai/frontend/web/src/app/components/ImageDnd/ImageDndContext.tsx b/invokeai/frontend/web/src/app/components/ImageDnd/ImageDndContext.tsx
index 24bdceac3a..56eeb9b5db 100644
--- a/invokeai/frontend/web/src/app/components/ImageDnd/ImageDndContext.tsx
+++ b/invokeai/frontend/web/src/app/components/ImageDnd/ImageDndContext.tsx
@@ -18,27 +18,32 @@ import {
   DragStartEvent,
   TypesafeDraggableData,
 } from './typesafeDnd';
+import { logger } from 'app/logging/logger';
 
 type ImageDndContextProps = PropsWithChildren;
 
 const ImageDndContext = (props: ImageDndContextProps) => {
   const [activeDragData, setActiveDragData] =
     useState<TypesafeDraggableData | null>(null);
+  const log = logger('images');
 
   const dispatch = useAppDispatch();
 
-  const handleDragStart = useCallback((event: DragStartEvent) => {
-    console.log('dragStart', event.active.data.current);
-    const activeData = event.active.data.current;
-    if (!activeData) {
-      return;
-    }
-    setActiveDragData(activeData);
-  }, []);
+  const handleDragStart = useCallback(
+    (event: DragStartEvent) => {
+      log.trace({ dragData: event.active.data.current }, 'Drag started');
+      const activeData = event.active.data.current;
+      if (!activeData) {
+        return;
+      }
+      setActiveDragData(activeData);
+    },
+    [log]
+  );
 
   const handleDragEnd = useCallback(
     (event: DragEndEvent) => {
-      console.log('dragEnd', event.active.data.current);
+      log.trace({ dragData: event.active.data.current }, 'Drag ended');
       const overData = event.over?.data.current;
       if (!activeDragData || !overData) {
         return;
@@ -46,7 +51,7 @@ const ImageDndContext = (props: ImageDndContextProps) => {
       dispatch(dndDropped({ overData, activeData: activeDragData }));
       setActiveDragData(null);
     },
-    [activeDragData, dispatch]
+    [activeDragData, dispatch, log]
   );
 
   const mouseSensor = useSensor(MouseSensor, {
diff --git a/invokeai/frontend/web/src/app/components/ImageDnd/typesafeDnd.tsx b/invokeai/frontend/web/src/app/components/ImageDnd/typesafeDnd.tsx
index 5f08466710..6f24302070 100644
--- a/invokeai/frontend/web/src/app/components/ImageDnd/typesafeDnd.tsx
+++ b/invokeai/frontend/web/src/app/components/ImageDnd/typesafeDnd.tsx
@@ -11,7 +11,6 @@ import {
   useDraggable as useOriginalDraggable,
   useDroppable as useOriginalDroppable,
 } from '@dnd-kit/core';
-import { BoardId } from 'features/gallery/store/types';
 import { ImageDTO } from 'services/api/types';
 
 type BaseDropData = {
@@ -54,9 +53,13 @@ export type AddToBatchDropData = BaseDropData & {
   actionType: 'ADD_TO_BATCH';
 };
 
-export type MoveBoardDropData = BaseDropData & {
-  actionType: 'MOVE_BOARD';
-  context: { boardId: BoardId };
+export type AddToBoardDropData = BaseDropData & {
+  actionType: 'ADD_TO_BOARD';
+  context: { boardId: string };
+};
+
+export type RemoveFromBoardDropData = BaseDropData & {
+  actionType: 'REMOVE_FROM_BOARD';
 };
 
 export type TypesafeDroppableData =
@@ -67,7 +70,8 @@ export type TypesafeDroppableData =
   | NodesImageDropData
   | AddToBatchDropData
   | NodesMultiImageDropData
-  | MoveBoardDropData;
+  | AddToBoardDropData
+  | RemoveFromBoardDropData;
 
 type BaseDragData = {
   id: string;
@@ -78,14 +82,12 @@ export type ImageDraggableData = BaseDragData & {
   payload: { imageDTO: ImageDTO };
 };
 
-export type ImageNamesDraggableData = BaseDragData & {
-  payloadType: 'IMAGE_NAMES';
-  payload: { image_names: string[] };
+export type ImageDTOsDraggableData = BaseDragData & {
+  payloadType: 'IMAGE_DTOS';
+  payload: { imageDTOs: ImageDTO[] };
 };
 
-export type TypesafeDraggableData =
-  | ImageDraggableData
-  | ImageNamesDraggableData;
+export type TypesafeDraggableData = ImageDraggableData | ImageDTOsDraggableData;
 
 interface UseDroppableTypesafeArguments
   extends Omit<UseDroppableArguments, 'data'> {
@@ -156,14 +158,39 @@ export const isValidDrop = (
     case 'SET_NODES_IMAGE':
       return payloadType === 'IMAGE_DTO';
     case 'SET_MULTI_NODES_IMAGE':
-      return payloadType === 'IMAGE_DTO' || 'IMAGE_NAMES';
+      return payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS';
     case 'ADD_TO_BATCH':
-      return payloadType === 'IMAGE_DTO' || 'IMAGE_NAMES';
-    case 'MOVE_BOARD': {
+      return payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS';
+    case 'ADD_TO_BOARD': {
       // If the board is the same, don't allow the drop
 
       // Check the payload types
-      const isPayloadValid = payloadType === 'IMAGE_DTO' || 'IMAGE_NAMES';
+      const isPayloadValid = payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS';
+      if (!isPayloadValid) {
+        return false;
+      }
+
+      // Check if the image's board is the board we are dragging onto
+      if (payloadType === 'IMAGE_DTO') {
+        const { imageDTO } = active.data.current.payload;
+        const currentBoard = imageDTO.board_id ?? 'none';
+        const destinationBoard = overData.context.boardId;
+
+        return currentBoard !== destinationBoard;
+      }
+
+      if (payloadType === 'IMAGE_DTOS') {
+        // TODO (multi-select)
+        return true;
+      }
+
+      return false;
+    }
+    case 'REMOVE_FROM_BOARD': {
+      // If the board is the same, don't allow the drop
+
+      // Check the payload types
+      const isPayloadValid = payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS';
       if (!isPayloadValid) {
         return false;
       }
@@ -172,20 +199,16 @@ export const isValidDrop = (
       if (payloadType === 'IMAGE_DTO') {
         const { imageDTO } = active.data.current.payload;
         const currentBoard = imageDTO.board_id;
-        const destinationBoard = overData.context.boardId;
 
-        const isSameBoard = currentBoard === destinationBoard;
-        const isDestinationValid = !currentBoard ? destinationBoard : true;
-
-        return !isSameBoard && isDestinationValid;
+        return currentBoard !== 'none';
       }
 
-      if (payloadType === 'IMAGE_NAMES') {
+      if (payloadType === 'IMAGE_DTOS') {
         // TODO (multi-select)
-        return false;
+        return true;
       }
 
-      return true;
+      return false;
     }
     default:
       return false;
diff --git a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
index cffbaa5574..93b7825db7 100644
--- a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
+++ b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
@@ -1,4 +1,6 @@
+import { Middleware } from '@reduxjs/toolkit';
 import { store } from 'app/store/store';
+import { PartialAppConfig } from 'app/types/invokeai';
 import React, {
   lazy,
   memo,
@@ -7,16 +9,11 @@ import React, {
   useEffect,
 } from 'react';
 import { Provider } from 'react-redux';
-
-import { PartialAppConfig } from 'app/types/invokeai';
 import { addMiddleware, resetMiddlewares } from 'redux-dynamic-middlewares';
-import Loading from '../../common/components/Loading/Loading';
-
-import { Middleware } from '@reduxjs/toolkit';
 import { $authToken, $baseUrl, $projectId } from 'services/api/client';
 import { socketMiddleware } from 'services/events/middleware';
+import Loading from '../../common/components/Loading/Loading';
 import '../../i18n';
-import { AddImageToBoardContextProvider } from '../contexts/AddImageToBoardContext';
 import ImageDndContext from './ImageDnd/ImageDndContext';
 
 const App = lazy(() => import('./App'));
@@ -84,9 +81,7 @@ const InvokeAIUI = ({
         <React.Suspense fallback={<Loading />}>
           <ThemeLocaleProvider>
             <ImageDndContext>
-              <AddImageToBoardContextProvider>
-                <App config={config} headerComponent={headerComponent} />
-              </AddImageToBoardContextProvider>
+              <App config={config} headerComponent={headerComponent} />
             </ImageDndContext>
           </ThemeLocaleProvider>
         </React.Suspense>
diff --git a/invokeai/frontend/web/src/app/contexts/AddImageToBoardContext.tsx b/invokeai/frontend/web/src/app/contexts/AddImageToBoardContext.tsx
deleted file mode 100644
index d5b3b746f1..0000000000
--- a/invokeai/frontend/web/src/app/contexts/AddImageToBoardContext.tsx
+++ /dev/null
@@ -1,91 +0,0 @@
-import { useDisclosure } from '@chakra-ui/react';
-import { PropsWithChildren, createContext, useCallback, useState } from 'react';
-import { ImageDTO } from 'services/api/types';
-import { imagesApi } from 'services/api/endpoints/images';
-import { useAppDispatch } from '../store/storeHooks';
-
-export type ImageUsage = {
-  isInitialImage: boolean;
-  isCanvasImage: boolean;
-  isNodesImage: boolean;
-  isControlNetImage: boolean;
-};
-
-type AddImageToBoardContextValue = {
-  /**
-   * Whether the move image dialog is open.
-   */
-  isOpen: boolean;
-  /**
-   * Closes the move image dialog.
-   */
-  onClose: () => void;
-  /**
-   * The image pending movement
-   */
-  image?: ImageDTO;
-  onClickAddToBoard: (image: ImageDTO) => void;
-  handleAddToBoard: (boardId: string) => void;
-};
-
-export const AddImageToBoardContext =
-  createContext<AddImageToBoardContextValue>({
-    isOpen: false,
-    onClose: () => undefined,
-    onClickAddToBoard: () => undefined,
-    handleAddToBoard: () => undefined,
-  });
-
-type Props = PropsWithChildren;
-
-export const AddImageToBoardContextProvider = (props: Props) => {
-  const [imageToMove, setImageToMove] = useState<ImageDTO>();
-  const { isOpen, onOpen, onClose } = useDisclosure();
-  const dispatch = useAppDispatch();
-
-  // Clean up after deleting or dismissing the modal
-  const closeAndClearImageToDelete = useCallback(() => {
-    setImageToMove(undefined);
-    onClose();
-  }, [onClose]);
-
-  const onClickAddToBoard = useCallback(
-    (image?: ImageDTO) => {
-      if (!image) {
-        return;
-      }
-      setImageToMove(image);
-      onOpen();
-    },
-    [setImageToMove, onOpen]
-  );
-
-  const handleAddToBoard = useCallback(
-    (boardId: string) => {
-      if (imageToMove) {
-        dispatch(
-          imagesApi.endpoints.addImageToBoard.initiate({
-            imageDTO: imageToMove,
-            board_id: boardId,
-          })
-        );
-        closeAndClearImageToDelete();
-      }
-    },
-    [dispatch, closeAndClearImageToDelete, imageToMove]
-  );
-
-  return (
-    <AddImageToBoardContext.Provider
-      value={{
-        isOpen,
-        image: imageToMove,
-        onClose: closeAndClearImageToDelete,
-        onClickAddToBoard,
-        handleAddToBoard,
-      }}
-    >
-      {props.children}
-    </AddImageToBoardContext.Provider>
-  );
-};
diff --git a/invokeai/frontend/web/src/app/contexts/ImageUploaderTriggerContext.ts b/invokeai/frontend/web/src/app/contexts/ImageUploaderTriggerContext.ts
deleted file mode 100644
index 804e124625..0000000000
--- a/invokeai/frontend/web/src/app/contexts/ImageUploaderTriggerContext.ts
+++ /dev/null
@@ -1,8 +0,0 @@
-import { createContext } from 'react';
-
-type VoidFunc = () => void;
-
-type ImageUploaderTriggerContextType = VoidFunc | null;
-
-export const ImageUploaderTriggerContext =
-  createContext<ImageUploaderTriggerContextType>(null);
diff --git a/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/serialize.ts b/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/serialize.ts
index 3407b3f7de..1b21770aa0 100644
--- a/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/serialize.ts
+++ b/invokeai/frontend/web/src/app/store/enhancers/reduxRemember/serialize.ts
@@ -23,6 +23,6 @@ const serializationDenylist: {
 };
 
 export const serialize: SerializeFunction = (data, key) => {
-  const result = omit(data, serializationDenylist[key]);
+  const result = omit(data, serializationDenylist[key] ?? []);
   return JSON.stringify(result);
 };
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
index f06c324bc6..c15b072a07 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
@@ -27,7 +27,8 @@ import {
   addImageDeletedFulfilledListener,
   addImageDeletedPendingListener,
   addImageDeletedRejectedListener,
-  addRequestedImageDeletionListener,
+  addRequestedSingleImageDeletionListener,
+  addRequestedMultipleImageDeletionListener,
 } from './listeners/imageDeleted';
 import { addImageDroppedListener } from './listeners/imageDropped';
 import {
@@ -111,7 +112,8 @@ addImageUploadedRejectedListener();
 addInitialImageSelectedListener();
 
 // Image deleted
-addRequestedImageDeletionListener();
+addRequestedSingleImageDeletionListener();
+addRequestedMultipleImageDeletionListener();
 addImageDeletedPendingListener();
 addImageDeletedFulfilledListener();
 addImageDeletedRejectedListener();
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addFirstListImagesListener.ts.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addFirstListImagesListener.ts.ts
index ee12f39a12..15e7d48708 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addFirstListImagesListener.ts.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/addFirstListImagesListener.ts.ts
@@ -1,12 +1,10 @@
 import { createAction } from '@reduxjs/toolkit';
 import { imageSelected } from 'features/gallery/store/gallerySlice';
 import { IMAGE_CATEGORIES } from 'features/gallery/store/types';
-import {
-  ImageCache,
-  getListImagesUrl,
-  imagesApi,
-} from 'services/api/endpoints/images';
+import { imagesApi } from 'services/api/endpoints/images';
 import { startAppListening } from '..';
+import { getListImagesUrl, imagesAdapter } from 'services/api/util';
+import { ImageCache } from 'services/api/types';
 
 export const appStarted = createAction('app/appStarted');
 
@@ -34,7 +32,8 @@ export const addFirstListImagesListener = () => {
 
       if (data.ids.length > 0) {
         // Select the first image
-        dispatch(imageSelected(data.ids[0] as string));
+        const firstImage = imagesAdapter.getSelectors().selectAll(data)[0];
+        dispatch(imageSelected(firstImage ?? null));
       }
     },
   });
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/appConfigReceived.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/appConfigReceived.ts
index 2d0ece3595..700b4e7626 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/appConfigReceived.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/appConfigReceived.ts
@@ -18,7 +18,9 @@ export const addAppConfigReceivedListener = () => {
       const infillMethod = getState().generation.infillMethod;
 
       if (!infill_methods.includes(infillMethod)) {
-        dispatch(setInfillMethod(infill_methods[0]));
+        // if there is no infill method, set it to the first one
+        // if there is no first one... god help us
+        dispatch(setInfillMethod(infill_methods[0] as string));
       }
 
       if (!nsfw_methods.includes('nsfw_checker')) {
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardAndImagesDeleted.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardAndImagesDeleted.ts
index f0af52ced6..d4a36d64dc 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardAndImagesDeleted.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardAndImagesDeleted.ts
@@ -1,14 +1,14 @@
 import { resetCanvas } from 'features/canvas/store/canvasSlice';
 import { controlNetReset } from 'features/controlNet/store/controlNetSlice';
-import { getImageUsage } from 'features/imageDeletion/store/imageDeletionSelectors';
+import { getImageUsage } from 'features/deleteImageModal/store/selectors';
 import { nodeEditorReset } from 'features/nodes/store/nodesSlice';
 import { clearInitialImage } from 'features/parameters/store/generationSlice';
+import { imagesApi } from 'services/api/endpoints/images';
 import { startAppListening } from '..';
-import { boardsApi } from '../../../../../services/api/endpoints/boards';
 
 export const addDeleteBoardAndImagesFulfilledListener = () => {
   startAppListening({
-    matcher: boardsApi.endpoints.deleteBoardAndImages.matchFulfilled,
+    matcher: imagesApi.endpoints.deleteBoardAndImages.matchFulfilled,
     effect: async (action, { dispatch, getState }) => {
       const { deleted_images } = action.payload;
 
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardIdSelected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardIdSelected.ts
index f9c856d6cb..1b13181911 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardIdSelected.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/boardIdSelected.ts
@@ -10,6 +10,7 @@ import {
 } from 'features/gallery/store/types';
 import { imagesApi } from 'services/api/endpoints/images';
 import { startAppListening } from '..';
+import { imagesSelectors } from 'services/api/util';
 
 export const addBoardIdSelectedListener = () => {
   startAppListening({
@@ -52,8 +53,9 @@ export const addBoardIdSelectedListener = () => {
           queryArgs
         )(getState());
 
-        if (boardImagesData?.ids.length) {
-          dispatch(imageSelected((boardImagesData.ids[0] as string) ?? null));
+        if (boardImagesData) {
+          const firstImage = imagesSelectors.selectAll(boardImagesData)[0];
+          dispatch(imageSelected(firstImage ?? null));
         } else {
           // board has no images - deselect
           dispatch(imageSelected(null));
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasSavedToGallery.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasSavedToGallery.ts
index 47f7aded27..dbadb72a52 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasSavedToGallery.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasSavedToGallery.ts
@@ -26,6 +26,8 @@ export const addCanvasSavedToGalleryListener = () => {
         return;
       }
 
+      const { autoAddBoardId } = state.gallery;
+
       dispatch(
         imagesApi.endpoints.uploadImage.initiate({
           file: new File([blob], 'savedCanvas.png', {
@@ -33,7 +35,7 @@ export const addCanvasSavedToGalleryListener = () => {
           }),
           image_category: 'general',
           is_intermediate: false,
-          board_id: state.gallery.autoAddBoardId,
+          board_id: autoAddBoardId === 'none' ? undefined : autoAddBoardId,
           crop_visible: true,
           postUploadAction: {
             type: 'TOAST',
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetAutoProcess.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetAutoProcess.ts
index 4a47e8d64e..61bcf28833 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetAutoProcess.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetAutoProcess.ts
@@ -31,15 +31,20 @@ const predicate: AnyListenerPredicate<RootState> = (
     // do not process if the user just disabled auto-config
     if (
       prevState.controlNet.controlNets[action.payload.controlNetId]
-        .shouldAutoConfig === true
+        ?.shouldAutoConfig === true
     ) {
       return false;
     }
   }
 
-  const { controlImage, processorType, shouldAutoConfig } =
-    state.controlNet.controlNets[action.payload.controlNetId];
+  const cn = state.controlNet.controlNets[action.payload.controlNetId];
 
+  if (!cn) {
+    // something is wrong, the controlNet should exist
+    return false;
+  }
+
+  const { controlImage, processorType, shouldAutoConfig } = cn;
   if (controlNetModelChanged.match(action) && !shouldAutoConfig) {
     // do not process if the action is a model change but the processor settings are dirty
     return false;
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts
index 313b2a02d8..fa915ef21b 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlNetImageProcessed.ts
@@ -17,7 +17,7 @@ export const addControlNetImageProcessedListener = () => {
       const { controlNetId } = action.payload;
       const controlNet = getState().controlNet.controlNets[controlNetId];
 
-      if (!controlNet.controlImage) {
+      if (!controlNet?.controlImage) {
         log.error('Unable to process ControlNet image');
         return;
       }
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts
index 428ce53219..cdfae0095e 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts
@@ -1,57 +1,72 @@
 import { logger } from 'app/logging/logger';
 import { resetCanvas } from 'features/canvas/store/canvasSlice';
 import { controlNetReset } from 'features/controlNet/store/controlNetSlice';
+import { imageDeletionConfirmed } from 'features/deleteImageModal/store/actions';
+import { isModalOpenChanged } from 'features/deleteImageModal/store/slice';
 import { selectListImagesBaseQueryArgs } from 'features/gallery/store/gallerySelectors';
 import { imageSelected } from 'features/gallery/store/gallerySlice';
-import { imageDeletionConfirmed } from 'features/imageDeletion/store/actions';
-import { isModalOpenChanged } from 'features/imageDeletion/store/imageDeletionSlice';
 import { nodeEditorReset } from 'features/nodes/store/nodesSlice';
 import { clearInitialImage } from 'features/parameters/store/generationSlice';
 import { clamp } from 'lodash-es';
 import { api } from 'services/api';
 import { imagesApi } from 'services/api/endpoints/images';
+import { imagesAdapter } from 'services/api/util';
 import { startAppListening } from '..';
 
-/**
- * Called when the user requests an image deletion
- */
-export const addRequestedImageDeletionListener = () => {
+export const addRequestedSingleImageDeletionListener = () => {
   startAppListening({
     actionCreator: imageDeletionConfirmed,
     effect: async (action, { dispatch, getState, condition }) => {
-      const { imageDTO, imageUsage } = action.payload;
+      const { imageDTOs, imagesUsage } = action.payload;
+
+      if (imageDTOs.length !== 1 || imagesUsage.length !== 1) {
+        // handle multiples in separate listener
+        return;
+      }
+
+      const imageDTO = imageDTOs[0];
+      const imageUsage = imagesUsage[0];
+
+      if (!imageDTO || !imageUsage) {
+        // satisfy noUncheckedIndexedAccess
+        return;
+      }
 
       dispatch(isModalOpenChanged(false));
 
-      const { image_name } = imageDTO;
-
       const state = getState();
       const lastSelectedImage =
-        state.gallery.selection[state.gallery.selection.length - 1];
+        state.gallery.selection[state.gallery.selection.length - 1]?.image_name;
+
+      if (imageDTO && imageDTO?.image_name === lastSelectedImage) {
+        const { image_name } = imageDTO;
 
-      if (lastSelectedImage === image_name) {
         const baseQueryArgs = selectListImagesBaseQueryArgs(state);
         const { data } =
           imagesApi.endpoints.listImages.select(baseQueryArgs)(state);
 
-        const ids = data?.ids ?? [];
+        const cachedImageDTOs = data
+          ? imagesAdapter.getSelectors().selectAll(data)
+          : [];
 
-        const deletedImageIndex = ids.findIndex(
-          (result) => result.toString() === image_name
+        const deletedImageIndex = cachedImageDTOs.findIndex(
+          (i) => i.image_name === image_name
         );
 
-        const filteredIds = ids.filter((id) => id.toString() !== image_name);
+        const filteredImageDTOs = cachedImageDTOs.filter(
+          (i) => i.image_name !== image_name
+        );
 
         const newSelectedImageIndex = clamp(
           deletedImageIndex,
           0,
-          filteredIds.length - 1
+          filteredImageDTOs.length - 1
         );
 
-        const newSelectedImageId = filteredIds[newSelectedImageIndex];
+        const newSelectedImageDTO = filteredImageDTOs[newSelectedImageIndex];
 
-        if (newSelectedImageId) {
-          dispatch(imageSelected(newSelectedImageId as string));
+        if (newSelectedImageDTO) {
+          dispatch(imageSelected(newSelectedImageDTO));
         } else {
           dispatch(imageSelected(null));
         }
@@ -97,6 +112,66 @@ export const addRequestedImageDeletionListener = () => {
   });
 };
 
+/**
+ * Called when the user requests an image deletion
+ */
+export const addRequestedMultipleImageDeletionListener = () => {
+  startAppListening({
+    actionCreator: imageDeletionConfirmed,
+    effect: async (action, { dispatch, getState }) => {
+      const { imageDTOs, imagesUsage } = action.payload;
+
+      if (imageDTOs.length < 1 || imagesUsage.length < 1) {
+        // handle singles in separate listener
+        return;
+      }
+
+      try {
+        // Delete from server
+        await dispatch(
+          imagesApi.endpoints.deleteImages.initiate({ imageDTOs })
+        ).unwrap();
+        const state = getState();
+        const baseQueryArgs = selectListImagesBaseQueryArgs(state);
+        const { data } =
+          imagesApi.endpoints.listImages.select(baseQueryArgs)(state);
+
+        const newSelectedImageDTO = data
+          ? imagesAdapter.getSelectors().selectAll(data)[0]
+          : undefined;
+
+        if (newSelectedImageDTO) {
+          dispatch(imageSelected(newSelectedImageDTO));
+        } else {
+          dispatch(imageSelected(null));
+        }
+
+        dispatch(isModalOpenChanged(false));
+
+        // We need to reset the features where the image is in use - none of these work if their image(s) don't exist
+
+        if (imagesUsage.some((i) => i.isCanvasImage)) {
+          dispatch(resetCanvas());
+        }
+
+        if (imagesUsage.some((i) => i.isControlNetImage)) {
+          dispatch(controlNetReset());
+        }
+
+        if (imagesUsage.some((i) => i.isInitialImage)) {
+          dispatch(clearInitialImage());
+        }
+
+        if (imagesUsage.some((i) => i.isNodesImage)) {
+          dispatch(nodeEditorReset());
+        }
+      } catch {
+        // no-op
+      }
+    },
+  });
+};
+
 /**
  * Called when the actual delete request is sent to the server
  */
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts
index fdf0849a12..043105cb66 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts
@@ -6,10 +6,7 @@ import {
 import { logger } from 'app/logging/logger';
 import { setInitialCanvasImage } from 'features/canvas/store/canvasSlice';
 import { controlNetImageChanged } from 'features/controlNet/store/controlNetSlice';
-import {
-  imageSelected,
-  imagesAddedToBatch,
-} from 'features/gallery/store/gallerySlice';
+import { imageSelected } from 'features/gallery/store/gallerySlice';
 import { fieldValueChanged } from 'features/nodes/store/nodesSlice';
 import { initialImageChanged } from 'features/parameters/store/generationSlice';
 import { imagesApi } from 'services/api/endpoints/images';
@@ -27,19 +24,32 @@ export const addImageDroppedListener = () => {
       const log = logger('images');
       const { activeData, overData } = action.payload;
 
-      log.debug({ activeData, overData }, 'Image or selection dropped');
+      if (activeData.payloadType === 'IMAGE_DTO') {
+        log.debug({ activeData, overData }, 'Image dropped');
+      } else if (activeData.payloadType === 'IMAGE_DTOS') {
+        log.debug(
+          { activeData, overData },
+          `Images (${activeData.payload.imageDTOs.length}) dropped`
+        );
+      } else {
+        log.debug({ activeData, overData }, `Unknown payload dropped`);
+      }
 
-      // set current image
+      /**
+       * Image dropped on current image
+       */
       if (
         overData.actionType === 'SET_CURRENT_IMAGE' &&
         activeData.payloadType === 'IMAGE_DTO' &&
         activeData.payload.imageDTO
       ) {
-        dispatch(imageSelected(activeData.payload.imageDTO.image_name));
+        dispatch(imageSelected(activeData.payload.imageDTO));
         return;
       }
 
-      // set initial image
+      /**
+       * Image dropped on initial image
+       */
       if (
         overData.actionType === 'SET_INITIAL_IMAGE' &&
         activeData.payloadType === 'IMAGE_DTO' &&
@@ -49,27 +59,9 @@ export const addImageDroppedListener = () => {
         return;
       }
 
-      // add image to batch
-      if (
-        overData.actionType === 'ADD_TO_BATCH' &&
-        activeData.payloadType === 'IMAGE_DTO' &&
-        activeData.payload.imageDTO
-      ) {
-        dispatch(imagesAddedToBatch([activeData.payload.imageDTO.image_name]));
-        return;
-      }
-
-      // add multiple images to batch
-      if (
-        overData.actionType === 'ADD_TO_BATCH' &&
-        activeData.payloadType === 'IMAGE_NAMES'
-      ) {
-        dispatch(imagesAddedToBatch(activeData.payload.image_names));
-
-        return;
-      }
-
-      // set control image
+      /**
+       * Image dropped on ControlNet
+       */
       if (
         overData.actionType === 'SET_CONTROLNET_IMAGE' &&
         activeData.payloadType === 'IMAGE_DTO' &&
@@ -85,7 +77,9 @@ export const addImageDroppedListener = () => {
         return;
       }
 
-      // set canvas image
+      /**
+       * Image dropped on Canvas
+       */
       if (
         overData.actionType === 'SET_CANVAS_INITIAL_IMAGE' &&
         activeData.payloadType === 'IMAGE_DTO' &&
@@ -95,7 +89,9 @@ export const addImageDroppedListener = () => {
         return;
       }
 
-      // set nodes image
+      /**
+       * Image dropped on node image field
+       */
       if (
         overData.actionType === 'SET_NODES_IMAGE' &&
         activeData.payloadType === 'IMAGE_DTO' &&
@@ -112,61 +108,36 @@ export const addImageDroppedListener = () => {
         return;
       }
 
-      // set multiple nodes images (single image handler)
-      if (
-        overData.actionType === 'SET_MULTI_NODES_IMAGE' &&
-        activeData.payloadType === 'IMAGE_DTO' &&
-        activeData.payload.imageDTO
-      ) {
-        const { fieldName, nodeId } = overData.context;
-        dispatch(
-          fieldValueChanged({
-            nodeId,
-            fieldName,
-            value: [activeData.payload.imageDTO],
-          })
-        );
-        return;
-      }
-
-      // // set multiple nodes images (multiple images handler)
+      /**
+       * TODO
+       * Image selection dropped on node image collection field
+       */
       // if (
       //   overData.actionType === 'SET_MULTI_NODES_IMAGE' &&
-      //   activeData.payloadType === 'IMAGE_NAMES'
+      //   activeData.payloadType === 'IMAGE_DTO' &&
+      //   activeData.payload.imageDTO
       // ) {
       //   const { fieldName, nodeId } = overData.context;
       //   dispatch(
-      //     imageCollectionFieldValueChanged({
+      //     fieldValueChanged({
       //       nodeId,
       //       fieldName,
-      //       value: activeData.payload.image_names.map((image_name) => ({
-      //         image_name,
-      //       })),
+      //       value: [activeData.payload.imageDTO],
       //     })
       //   );
       //   return;
       // }
 
-      // add image to board
+      /**
+       * Image dropped on user board
+       */
       if (
-        overData.actionType === 'MOVE_BOARD' &&
+        overData.actionType === 'ADD_TO_BOARD' &&
         activeData.payloadType === 'IMAGE_DTO' &&
         activeData.payload.imageDTO
       ) {
         const { imageDTO } = activeData.payload;
         const { boardId } = overData.context;
-
-        // image was droppe on the "NoBoardBoard"
-        if (!boardId) {
-          dispatch(
-            imagesApi.endpoints.removeImageFromBoard.initiate({
-              imageDTO,
-            })
-          );
-          return;
-        }
-
-        // image was dropped on a user board
         dispatch(
           imagesApi.endpoints.addImageToBoard.initiate({
             imageDTO,
@@ -176,67 +147,58 @@ export const addImageDroppedListener = () => {
         return;
       }
 
-      // // add gallery selection to board
-      // if (
-      //   overData.actionType === 'MOVE_BOARD' &&
-      //   activeData.payloadType === 'IMAGE_NAMES' &&
-      //   overData.context.boardId
-      // ) {
-      //   console.log('adding gallery selection to board');
-      //   const board_id = overData.context.boardId;
-      //   dispatch(
-      //     boardImagesApi.endpoints.addManyBoardImages.initiate({
-      //       board_id,
-      //       image_names: activeData.payload.image_names,
-      //     })
-      //   );
-      //   return;
-      // }
+      /**
+       * Image dropped on 'none' board
+       */
+      if (
+        overData.actionType === 'REMOVE_FROM_BOARD' &&
+        activeData.payloadType === 'IMAGE_DTO' &&
+        activeData.payload.imageDTO
+      ) {
+        const { imageDTO } = activeData.payload;
+        dispatch(
+          imagesApi.endpoints.removeImageFromBoard.initiate({
+            imageDTO,
+          })
+        );
+        return;
+      }
 
-      // // remove gallery selection from board
-      // if (
-      //   overData.actionType === 'MOVE_BOARD' &&
-      //   activeData.payloadType === 'IMAGE_NAMES' &&
-      //   overData.context.boardId === null
-      // ) {
-      //   console.log('removing gallery selection to board');
-      //   dispatch(
-      //     boardImagesApi.endpoints.deleteManyBoardImages.initiate({
-      //       image_names: activeData.payload.image_names,
-      //     })
-      //   );
-      //   return;
-      // }
+      /**
+       * Multiple images dropped on user board
+       */
+      if (
+        overData.actionType === 'ADD_TO_BOARD' &&
+        activeData.payloadType === 'IMAGE_DTOS' &&
+        activeData.payload.imageDTOs
+      ) {
+        const { imageDTOs } = activeData.payload;
+        const { boardId } = overData.context;
+        dispatch(
+          imagesApi.endpoints.addImagesToBoard.initiate({
+            imageDTOs,
+            board_id: boardId,
+          })
+        );
+        return;
+      }
 
-      // // add batch selection to board
-      // if (
-      //   overData.actionType === 'MOVE_BOARD' &&
-      //   activeData.payloadType === 'IMAGE_NAMES' &&
-      //   overData.context.boardId
-      // ) {
-      //   const board_id = overData.context.boardId;
-      //   dispatch(
-      //     boardImagesApi.endpoints.addManyBoardImages.initiate({
-      //       board_id,
-      //       image_names: activeData.payload.image_names,
-      //     })
-      //   );
-      //   return;
-      // }
-
-      // // remove batch selection from board
-      // if (
-      //   overData.actionType === 'MOVE_BOARD' &&
-      //   activeData.payloadType === 'IMAGE_NAMES' &&
-      //   overData.context.boardId === null
-      // ) {
-      //   dispatch(
-      //     boardImagesApi.endpoints.deleteManyBoardImages.initiate({
-      //       image_names: activeData.payload.image_names,
-      //     })
-      //   );
-      //   return;
-      // }
+      /**
+       * Multiple images dropped on 'none' board
+       */
+      if (
+        overData.actionType === 'REMOVE_FROM_BOARD' &&
+        activeData.payloadType === 'IMAGE_DTOS' &&
+        activeData.payload.imageDTOs
+      ) {
+        const { imageDTOs } = activeData.payload;
+        dispatch(
+          imagesApi.endpoints.removeImagesFromBoard.initiate({
+            imageDTOs,
+          })
+        );
+        return;
+      }
     },
   });
 };
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageToDeleteSelected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageToDeleteSelected.ts
index 3a5eed95db..88a4e773d5 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageToDeleteSelected.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageToDeleteSelected.ts
@@ -1,37 +1,32 @@
-import { imageDeletionConfirmed } from 'features/imageDeletion/store/actions';
-import { selectImageUsage } from 'features/imageDeletion/store/imageDeletionSelectors';
+import { imageDeletionConfirmed } from 'features/deleteImageModal/store/actions';
+import { selectImageUsage } from 'features/deleteImageModal/store/selectors';
 import {
-  imageToDeleteSelected,
+  imagesToDeleteSelected,
   isModalOpenChanged,
-} from 'features/imageDeletion/store/imageDeletionSlice';
+} from 'features/deleteImageModal/store/slice';
 import { startAppListening } from '..';
 
 export const addImageToDeleteSelectedListener = () => {
   startAppListening({
-    actionCreator: imageToDeleteSelected,
+    actionCreator: imagesToDeleteSelected,
     effect: async (action, { dispatch, getState }) => {
-      const imageDTO = action.payload;
+      const imageDTOs = action.payload;
       const state = getState();
       const { shouldConfirmOnDelete } = state.system;
-      const imageUsage = selectImageUsage(getState());
-
-      if (!imageUsage) {
-        // should never happen
-        return;
-      }
+      const imagesUsage = selectImageUsage(getState());
 
       const isImageInUse =
-        imageUsage.isCanvasImage ||
-        imageUsage.isInitialImage ||
-        imageUsage.isControlNetImage ||
-        imageUsage.isNodesImage;
+        imagesUsage.some((i) => i.isCanvasImage) ||
+        imagesUsage.some((i) => i.isInitialImage) ||
+        imagesUsage.some((i) => i.isControlNetImage) ||
+        imagesUsage.some((i) => i.isNodesImage);
 
       if (shouldConfirmOnDelete || isImageInUse) {
         dispatch(isModalOpenChanged(true));
         return;
       }
 
-      dispatch(imageDeletionConfirmed({ imageDTO, imageUsage }));
+      dispatch(imageDeletionConfirmed({ imageDTOs, imagesUsage }));
     },
   });
 };
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts
index dd581d893c..f488259eb7 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts
@@ -2,14 +2,13 @@ import { UseToastOptions } from '@chakra-ui/react';
 import { logger } from 'app/logging/logger';
 import { setInitialCanvasImage } from 'features/canvas/store/canvasSlice';
 import { controlNetImageChanged } from 'features/controlNet/store/controlNetSlice';
-import { imagesAddedToBatch } from 'features/gallery/store/gallerySlice';
 import { fieldValueChanged } from 'features/nodes/store/nodesSlice';
 import { initialImageChanged } from 'features/parameters/store/generationSlice';
 import { addToast } from 'features/system/store/systemSlice';
+import { omit } from 'lodash-es';
 import { boardsApi } from 'services/api/endpoints/boards';
 import { startAppListening } from '..';
 import { imagesApi } from '../../../../../services/api/endpoints/images';
-import { omit } from 'lodash-es';
 
 const DEFAULT_UPLOADED_TOAST: UseToastOptions = {
   title: 'Image Uploaded',
@@ -121,17 +120,6 @@ export const addImageUploadedFulfilledListener = () => {
         );
         return;
       }
-
-      if (postUploadAction?.type === 'ADD_TO_BATCH') {
-        dispatch(imagesAddedToBatch([imageDTO.image_name]));
-        dispatch(
-          addToast({
-            ...DEFAULT_UPLOADED_TOAST,
-            description: 'Added to batch',
-          })
-        );
-        return;
-      }
     },
   });
 };
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts
index 325e843900..436a58aa8e 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts
@@ -15,7 +15,7 @@ import {
   setShouldUseSDXLRefiner,
 } from 'features/sdxl/store/sdxlSlice';
 import { forEach, some } from 'lodash-es';
-import { modelsApi } from 'services/api/endpoints/models';
+import { modelsApi, vaeModelsAdapter } from 'services/api/endpoints/models';
 import { startAppListening } from '..';
 
 export const addModelsLoadedListener = () => {
@@ -144,8 +144,9 @@ export const addModelsLoadedListener = () => {
         return;
       }
 
-      const firstModelId = action.payload.ids[0];
-      const firstModel = action.payload.entities[firstModelId];
+      const firstModel = vaeModelsAdapter
+        .getSelectors()
+        .selectAll(action.payload)[0];
 
       if (!firstModel) {
         // No custom VAEs loaded at all; use the default
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
index e36c49be63..30e0bedb54 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
@@ -8,9 +8,10 @@ import {
 } from 'features/gallery/store/gallerySlice';
 import { IMAGE_CATEGORIES } from 'features/gallery/store/types';
 import { progressImageSet } from 'features/system/store/systemSlice';
-import { imagesAdapter, imagesApi } from 'services/api/endpoints/images';
+import { imagesApi } from 'services/api/endpoints/images';
 import { isImageOutput } from 'services/api/guards';
 import { sessionCanceled } from 'services/api/thunks/session';
+import { imagesAdapter } from 'services/api/util';
 import {
   appSocketInvocationComplete,
   socketInvocationComplete,
@@ -67,7 +68,7 @@ export const addInvocationCompleteEventListener = () => {
            */
 
           const { autoAddBoardId } = gallery;
-          if (autoAddBoardId) {
+          if (autoAddBoardId && autoAddBoardId !== 'none') {
             dispatch(
               imagesApi.endpoints.addImageToBoard.initiate({
                 board_id: autoAddBoardId,
@@ -83,10 +84,7 @@ export const addInvocationCompleteEventListener = () => {
                   categories: IMAGE_CATEGORIES,
                 },
                 (draft) => {
-                  const oldTotal = draft.total;
-                  const newState = imagesAdapter.addOne(draft, imageDTO);
-                  const delta = newState.total - oldTotal;
-                  draft.total = draft.total + delta;
+                  imagesAdapter.addOne(draft, imageDTO);
                 }
               )
             );
@@ -94,8 +92,8 @@ export const addInvocationCompleteEventListener = () => {
 
           dispatch(
             imagesApi.util.invalidateTags([
-              { type: 'BoardImagesTotal', id: autoAddBoardId ?? 'none' },
-              { type: 'BoardAssetsTotal', id: autoAddBoardId ?? 'none' },
+              { type: 'BoardImagesTotal', id: autoAddBoardId },
+              { type: 'BoardAssetsTotal', id: autoAddBoardId },
             ])
           );
 
@@ -110,7 +108,7 @@ export const addInvocationCompleteEventListener = () => {
             } else if (!autoAddBoardId) {
               dispatch(galleryViewChanged('images'));
             }
-            dispatch(imageSelected(imageDTO.image_name));
+            dispatch(imageSelected(imageDTO));
           }
         }
 
diff --git a/invokeai/frontend/web/src/app/store/store.ts b/invokeai/frontend/web/src/app/store/store.ts
index d71a147913..6b544252db 100644
--- a/invokeai/frontend/web/src/app/store/store.ts
+++ b/invokeai/frontend/web/src/app/store/store.ts
@@ -8,9 +8,9 @@ import {
 import canvasReducer from 'features/canvas/store/canvasSlice';
 import controlNetReducer from 'features/controlNet/store/controlNetSlice';
 import dynamicPromptsReducer from 'features/dynamicPrompts/store/dynamicPromptsSlice';
-import boardsReducer from 'features/gallery/store/boardSlice';
 import galleryReducer from 'features/gallery/store/gallerySlice';
-import imageDeletionReducer from 'features/imageDeletion/store/imageDeletionSlice';
+import deleteImageModalReducer from 'features/deleteImageModal/store/slice';
+import changeBoardModalReducer from 'features/changeBoardModal/store/slice';
 import loraReducer from 'features/lora/store/loraSlice';
 import nodesReducer from 'features/nodes/store/nodesSlice';
 import generationReducer from 'features/parameters/store/generationSlice';
@@ -43,9 +43,9 @@ const allReducers = {
   ui: uiReducer,
   hotkeys: hotkeysReducer,
   controlNet: controlNetReducer,
-  boards: boardsReducer,
   dynamicPrompts: dynamicPromptsReducer,
-  imageDeletion: imageDeletionReducer,
+  deleteImageModal: deleteImageModalReducer,
+  changeBoardModal: changeBoardModalReducer,
   lora: loraReducer,
   modelmanager: modelmanagerReducer,
   sdxl: sdxlReducer,
diff --git a/invokeai/frontend/web/src/common/components/IAIDropOverlay.tsx b/invokeai/frontend/web/src/common/components/IAIDropOverlay.tsx
index 7601758409..f9bb36cc50 100644
--- a/invokeai/frontend/web/src/common/components/IAIDropOverlay.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIDropOverlay.tsx
@@ -1,4 +1,4 @@
-import { Flex, Text, useColorMode } from '@chakra-ui/react';
+import { Box, Flex, useColorMode } from '@chakra-ui/react';
 import { motion } from 'framer-motion';
 import { ReactNode, memo, useRef } from 'react';
 import { mode } from 'theme/util/mode';
@@ -74,7 +74,7 @@ export const IAIDropOverlay = (props: Props) => {
             justifyContent: 'center',
           }}
         >
-          <Text
+          <Box
             sx={{
               fontSize: '2xl',
               fontWeight: 600,
@@ -87,7 +87,7 @@ export const IAIDropOverlay = (props: Props) => {
             }}
           >
             {label}
-          </Text>
+          </Box>
         </Flex>
       </Flex>
     </motion.div>
diff --git a/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx b/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx
index 2c3f5434ad..079421d4e5 100644
--- a/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx
@@ -53,7 +53,9 @@ const IAIMantineSearchableSelect = (props: IAISelectProps) => {
   // wrap onChange to clear search value on select
   const handleChange = useCallback(
     (v: string | null) => {
-      setSearchValue('');
+      // cannot figure out why we were doing this, but it was causing an issue where if you
+      // select the currently-selected item, it reset the search value to empty
+      // setSearchValue('');
 
       if (!onChange) {
         return;
diff --git a/invokeai/frontend/web/src/common/components/ImageUploader.tsx b/invokeai/frontend/web/src/common/components/ImageUploader.tsx
index de347b8381..c990a9a24e 100644
--- a/invokeai/frontend/web/src/common/components/ImageUploader.tsx
+++ b/invokeai/frontend/web/src/common/components/ImageUploader.tsx
@@ -78,7 +78,7 @@ const ImageUploader = (props: ImageUploaderProps) => {
         image_category: 'user',
         is_intermediate: false,
         postUploadAction,
-        board_id: autoAddBoardId,
+        board_id: autoAddBoardId === 'none' ? undefined : autoAddBoardId,
       });
     },
     [autoAddBoardId, postUploadAction, uploadImage]
diff --git a/invokeai/frontend/web/src/common/hooks/useImageUploadButton.tsx b/invokeai/frontend/web/src/common/hooks/useImageUploadButton.tsx
index c04c0182cd..dcbd81b2dd 100644
--- a/invokeai/frontend/web/src/common/hooks/useImageUploadButton.tsx
+++ b/invokeai/frontend/web/src/common/hooks/useImageUploadButton.tsx
@@ -49,7 +49,7 @@ export const useImageUploadButton = ({
         image_category: 'user',
         is_intermediate: false,
         postUploadAction: postUploadAction ?? { type: 'TOAST' },
-        board_id: autoAddBoardId,
+        board_id: autoAddBoardId === 'none' ? undefined : autoAddBoardId,
       });
     },
     [autoAddBoardId, postUploadAction, uploadImage]
diff --git a/invokeai/frontend/web/src/features/canvas/hooks/useColorUnderCursor.ts b/invokeai/frontend/web/src/features/canvas/hooks/useColorUnderCursor.ts
index 1356b24416..64289a1fd3 100644
--- a/invokeai/frontend/web/src/features/canvas/hooks/useColorUnderCursor.ts
+++ b/invokeai/frontend/web/src/features/canvas/hooks/useColorUnderCursor.ts
@@ -33,6 +33,10 @@ const useColorPicker = () => {
           1
         ).data;
 
+      if (!(a && r && g && b)) {
+        return;
+      }
+
       dispatch(setColorPickerColor({ r, g, b, a }));
     },
     commitColorUnderCursor: () => {
diff --git a/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts b/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
index 3163e513e9..f63ab2fd67 100644
--- a/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
+++ b/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
@@ -727,10 +727,13 @@ export const canvasSlice = createSlice({
         state.pastLayerStates.shift();
       }
 
-      state.layerState.objects.push({
-        ...images[selectedImageIndex],
-      });
+      const imageToCommit = images[selectedImageIndex];
 
+      if (imageToCommit) {
+        state.layerState.objects.push({
+          ...imageToCommit,
+        });
+      }
       state.layerState.stagingArea = {
         ...initialLayerState.stagingArea,
       };
diff --git a/invokeai/frontend/web/src/features/changeBoardModal/components/ChangeBoardModal.tsx b/invokeai/frontend/web/src/features/changeBoardModal/components/ChangeBoardModal.tsx
new file mode 100644
index 0000000000..2443fa6081
--- /dev/null
+++ b/invokeai/frontend/web/src/features/changeBoardModal/components/ChangeBoardModal.tsx
@@ -0,0 +1,132 @@
+import {
+  AlertDialog,
+  AlertDialogBody,
+  AlertDialogContent,
+  AlertDialogFooter,
+  AlertDialogHeader,
+  AlertDialogOverlay,
+  Flex,
+  Text,
+} from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAIButton from 'common/components/IAIButton';
+import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
+import { memo, useCallback, useMemo, useRef, useState } from 'react';
+import { useListAllBoardsQuery } from 'services/api/endpoints/boards';
+import {
+  useAddImagesToBoardMutation,
+  useRemoveImagesFromBoardMutation,
+} from 'services/api/endpoints/images';
+import { changeBoardReset, isModalOpenChanged } from '../store/slice';
+
+const selector = createSelector(
+  [stateSelector],
+  ({ changeBoardModal }) => {
+    const { isModalOpen, imagesToChange } = changeBoardModal;
+
+    return {
+      isModalOpen,
+      imagesToChange,
+    };
+  },
+  defaultSelectorOptions
+);
+
+const ChangeBoardModal = () => {
+  const dispatch = useAppDispatch();
+  const [selectedBoard, setSelectedBoard] = useState<string | null>();
+  const { data: boards, isFetching } = useListAllBoardsQuery();
+  const { imagesToChange, isModalOpen } = useAppSelector(selector);
+  const [addImagesToBoard] = useAddImagesToBoardMutation();
+  const [removeImagesFromBoard] = useRemoveImagesFromBoardMutation();
+
+  const data = useMemo(() => {
+    const data: { label: string; value: string }[] = [
+      { label: 'Uncategorized', value: 'none' },
+    ];
+    (boards ?? []).forEach((board) =>
+      data.push({
+        label: board.board_name,
+        value: board.board_id,
+      })
+    );
+
+    return data;
+  }, [boards]);
+
+  const handleClose = useCallback(() => {
+    dispatch(changeBoardReset());
+    dispatch(isModalOpenChanged(false));
+  }, [dispatch]);
+
+  const handleChangeBoard = useCallback(() => {
+    if (!imagesToChange.length || !selectedBoard) {
+      return;
+    }
+
+    if (selectedBoard === 'none') {
+      removeImagesFromBoard({ imageDTOs: imagesToChange });
+    } else {
+      addImagesToBoard({
+        imageDTOs: imagesToChange,
+        board_id: selectedBoard,
+      });
+    }
+    setSelectedBoard(null);
+    dispatch(changeBoardReset());
+  }, [
+    addImagesToBoard,
+    dispatch,
+    imagesToChange,
+    removeImagesFromBoard,
+    selectedBoard,
+  ]);
+
+  const cancelRef = useRef<HTMLButtonElement>(null);
+
+  return (
+    <AlertDialog
+      isOpen={isModalOpen}
+      onClose={handleClose}
+      leastDestructiveRef={cancelRef}
+      isCentered
+    >
+      <AlertDialogOverlay>
+        <AlertDialogContent>
+          <AlertDialogHeader fontSize="lg" fontWeight="bold">
+            Change Board
+          </AlertDialogHeader>
+
+          <AlertDialogBody>
+            <Flex sx={{ flexDir: 'column', gap: 4 }}>
+              <Text>
+                Moving {`${imagesToChange.length}`} image
+                {`${imagesToChange.length > 1 ? 's' : ''}`} to board:
+              </Text>
+              <IAIMantineSearchableSelect
+                placeholder={isFetching ? 'Loading...' : 'Select Board'}
+                disabled={isFetching}
+                onChange={(v) => setSelectedBoard(v)}
+                value={selectedBoard}
+                data={data}
+              />
+            </Flex>
+          </AlertDialogBody>
+          <AlertDialogFooter>
+            <IAIButton ref={cancelRef} onClick={handleClose}>
+              Cancel
+            </IAIButton>
+            <IAIButton colorScheme="accent" onClick={handleChangeBoard} ml={3}>
+              Move
+            </IAIButton>
+          </AlertDialogFooter>
+        </AlertDialogContent>
+      </AlertDialogOverlay>
+    </AlertDialog>
+  );
+};
+
+export default memo(ChangeBoardModal);
diff --git a/invokeai/frontend/web/src/features/changeBoardModal/store/initialState.ts b/invokeai/frontend/web/src/features/changeBoardModal/store/initialState.ts
new file mode 100644
index 0000000000..d737d0cdcd
--- /dev/null
+++ b/invokeai/frontend/web/src/features/changeBoardModal/store/initialState.ts
@@ -0,0 +1,6 @@
+import { ChangeBoardModalState } from './types';
+
+export const initialState: ChangeBoardModalState = {
+  isModalOpen: false,
+  imagesToChange: [],
+};
diff --git a/invokeai/frontend/web/src/features/changeBoardModal/store/slice.ts b/invokeai/frontend/web/src/features/changeBoardModal/store/slice.ts
new file mode 100644
index 0000000000..9855e2d7dd
--- /dev/null
+++ b/invokeai/frontend/web/src/features/changeBoardModal/store/slice.ts
@@ -0,0 +1,25 @@
+import { PayloadAction, createSlice } from '@reduxjs/toolkit';
+import { ImageDTO } from 'services/api/types';
+import { initialState } from './initialState';
+
+const changeBoardModal = createSlice({
+  name: 'changeBoardModal',
+  initialState,
+  reducers: {
+    isModalOpenChanged: (state, action: PayloadAction<boolean>) => {
+      state.isModalOpen = action.payload;
+    },
+    imagesToChangeSelected: (state, action: PayloadAction<ImageDTO[]>) => {
+      state.imagesToChange = action.payload;
+    },
+    changeBoardReset: (state) => {
+      state.imagesToChange = [];
+      state.isModalOpen = false;
+    },
+  },
+});
+
+export const { isModalOpenChanged, imagesToChangeSelected, changeBoardReset } =
+  changeBoardModal.actions;
+
+export default changeBoardModal.reducer;
diff --git a/invokeai/frontend/web/src/features/changeBoardModal/store/types.ts b/invokeai/frontend/web/src/features/changeBoardModal/store/types.ts
new file mode 100644
index 0000000000..6ce13331d0
--- /dev/null
+++ b/invokeai/frontend/web/src/features/changeBoardModal/store/types.ts
@@ -0,0 +1,6 @@
+import { ImageDTO } from 'services/api/types';
+
+export type ChangeBoardModalState = {
+  isModalOpen: boolean;
+  imagesToChange: ImageDTO[];
+};
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx
index d858e46fdb..3252207edc 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNet.tsx
@@ -3,6 +3,7 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { memo, useCallback } from 'react';
 import { FaCopy, FaTrash } from 'react-icons/fa';
 import {
+  ControlNetConfig,
   controlNetDuplicated,
   controlNetRemoved,
   controlNetToggled,
@@ -27,18 +28,27 @@ import ParamControlNetProcessorSelect from './parameters/ParamControlNetProcesso
 import ParamControlNetResizeMode from './parameters/ParamControlNetResizeMode';
 
 type ControlNetProps = {
-  controlNetId: string;
+  controlNet: ControlNetConfig;
 };
 
 const ControlNet = (props: ControlNetProps) => {
-  const { controlNetId } = props;
+  const { controlNet } = props;
+  const { controlNetId } = controlNet;
   const dispatch = useAppDispatch();
 
   const selector = createSelector(
     stateSelector,
     ({ controlNet }) => {
-      const { isEnabled, shouldAutoConfig } =
-        controlNet.controlNets[controlNetId];
+      const cn = controlNet.controlNets[controlNetId];
+
+      if (!cn) {
+        return {
+          isEnabled: false,
+          shouldAutoConfig: false,
+        };
+      }
+
+      const { isEnabled, shouldAutoConfig } = cn;
 
       return { isEnabled, shouldAutoConfig };
     },
@@ -96,7 +106,7 @@ const ControlNet = (props: ControlNetProps) => {
             transitionDuration: '0.1s',
           }}
         >
-          <ParamControlNetModel controlNetId={controlNetId} />
+          <ParamControlNetModel controlNet={controlNet} />
         </Box>
         <IAIIconButton
           size="sm"
@@ -171,8 +181,8 @@ const ControlNet = (props: ControlNetProps) => {
               justifyContent: 'space-between',
             }}
           >
-            <ParamControlNetWeight controlNetId={controlNetId} />
-            <ParamControlNetBeginEnd controlNetId={controlNetId} />
+            <ParamControlNetWeight controlNet={controlNet} />
+            <ParamControlNetBeginEnd controlNet={controlNet} />
           </Flex>
           {!isExpanded && (
             <Flex
@@ -184,22 +194,22 @@ const ControlNet = (props: ControlNetProps) => {
                 aspectRatio: '1/1',
               }}
             >
-              <ControlNetImagePreview controlNetId={controlNetId} height={28} />
+              <ControlNetImagePreview controlNet={controlNet} height={28} />
             </Flex>
           )}
         </Flex>
         <Flex sx={{ gap: 2 }}>
-          <ParamControlNetControlMode controlNetId={controlNetId} />
-          <ParamControlNetResizeMode controlNetId={controlNetId} />
+          <ParamControlNetControlMode controlNet={controlNet} />
+          <ParamControlNetResizeMode controlNet={controlNet} />
         </Flex>
-        <ParamControlNetProcessorSelect controlNetId={controlNetId} />
+        <ParamControlNetProcessorSelect controlNet={controlNet} />
       </Flex>
 
       {isExpanded && (
         <>
-          <ControlNetImagePreview controlNetId={controlNetId} height="392px" />
-          <ParamControlNetShouldAutoConfig controlNetId={controlNetId} />
-          <ControlNetProcessorComponent controlNetId={controlNetId} />
+          <ControlNetImagePreview controlNet={controlNet} height="392px" />
+          <ParamControlNetShouldAutoConfig controlNet={controlNet} />
+          <ControlNetProcessorComponent controlNet={controlNet} />
         </>
       )}
     </Flex>
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx
index 859495a941..cdab176cd2 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx
@@ -12,50 +12,41 @@ import IAIDndImage from 'common/components/IAIDndImage';
 import { memo, useCallback, useMemo, useState } from 'react';
 import { useGetImageDTOQuery } from 'services/api/endpoints/images';
 import { PostUploadAction } from 'services/api/types';
-import { controlNetImageChanged } from '../store/controlNetSlice';
+import {
+  ControlNetConfig,
+  controlNetImageChanged,
+} from '../store/controlNetSlice';
 
 type Props = {
-  controlNetId: string;
+  controlNet: ControlNetConfig;
   height: SystemStyleObject['h'];
 };
 
+const selector = createSelector(
+  stateSelector,
+  ({ controlNet }) => {
+    const { pendingControlImages } = controlNet;
+
+    return {
+      pendingControlImages,
+    };
+  },
+  defaultSelectorOptions
+);
+
 const ControlNetImagePreview = (props: Props) => {
-  const { height, controlNetId } = props;
+  const { height } = props;
+  const {
+    controlImage: controlImageName,
+    processedControlImage: processedControlImageName,
+    processorType,
+    isEnabled,
+    controlNetId,
+  } = props.controlNet;
+
   const dispatch = useAppDispatch();
 
-  const selector = useMemo(
-    () =>
-      createSelector(
-        stateSelector,
-        ({ controlNet }) => {
-          const { pendingControlImages } = controlNet;
-          const {
-            controlImage,
-            processedControlImage,
-            processorType,
-            isEnabled,
-          } = controlNet.controlNets[controlNetId];
-
-          return {
-            controlImageName: controlImage,
-            processedControlImageName: processedControlImage,
-            processorType,
-            isEnabled,
-            pendingControlImages,
-          };
-        },
-        defaultSelectorOptions
-      ),
-    [controlNetId]
-  );
-
-  const {
-    controlImageName,
-    processedControlImageName,
-    processorType,
-    pendingControlImages,
-    isEnabled,
-  } = useAppSelector(selector);
+  const { pendingControlImages } = useAppSelector(selector);
 
   const [isMouseOverImage, setIsMouseOverImage] = useState(false);
 
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNetProcessorComponent.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNetProcessorComponent.tsx
index b7fa329eac..681838ef27 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ControlNetProcessorComponent.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNetProcessorComponent.tsx
@@ -1,8 +1,5 @@
-import { createSelector } from '@reduxjs/toolkit';
-import { stateSelector } from 'app/store/store';
-import { useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import { memo, useMemo } from 'react';
+import { memo } from 'react';
+import { ControlNetConfig } from '../store/controlNetSlice';
 import CannyProcessor from './processors/CannyProcessor';
 import ContentShuffleProcessor from './processors/ContentShuffleProcessor';
 import HedProcessor from './processors/HedProcessor';
@@ -17,28 +14,11 @@ import PidiProcessor from './processors/PidiProcessor';
 import ZoeDepthProcessor from './processors/ZoeDepthProcessor';
 
 export type ControlNetProcessorProps = {
-  controlNetId: string;
+  controlNet: ControlNetConfig;
 };
 
 const ControlNetProcessorComponent = (props: ControlNetProcessorProps) => {
-  const { controlNetId } = props;
-
-  const selector = useMemo(
-    () =>
-      createSelector(
-        stateSelector,
-        ({ controlNet }) => {
-          const { isEnabled, processorNode } =
-            controlNet.controlNets[controlNetId];
-
-          return { isEnabled, processorNode };
-        },
-        defaultSelectorOptions
-      ),
-    [controlNetId]
-  );
-
-  const { isEnabled, processorNode } = useAppSelector(selector);
+  const { controlNetId, isEnabled, processorNode } = props.controlNet;
 
   if (processorNode.type === 'canny_image_processor') {
     return (
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ParamControlNetShouldAutoConfig.tsx b/invokeai/frontend/web/src/features/controlNet/components/ParamControlNetShouldAutoConfig.tsx
index 285fcf7b80..0e044d4575 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ParamControlNetShouldAutoConfig.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ParamControlNetShouldAutoConfig.tsx
@@ -1,34 +1,19 @@
-import { createSelector } from '@reduxjs/toolkit';
-import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAISwitch from 'common/components/IAISwitch';
-import { controlNetAutoConfigToggled } from 'features/controlNet/store/controlNetSlice';
+import {
+  ControlNetConfig,
+  controlNetAutoConfigToggled,
+} from 'features/controlNet/store/controlNetSlice';
 import { selectIsBusy } from 'features/system/store/systemSelectors';
-import { memo, useCallback, useMemo } from 'react';
+import { memo, useCallback } from 'react';
 
 type Props = {
-  controlNetId: string;
+  controlNet: ControlNetConfig;
 };
 
 const ParamControlNetShouldAutoConfig = (props: Props) => {
-  const { controlNetId } = props;
+  const { controlNetId, isEnabled, shouldAutoConfig } = props.controlNet;
   const dispatch = useAppDispatch();
-  const selector = useMemo(
-    () =>
-      createSelector(
-        stateSelector,
-        ({ controlNet }) => {
-          const { isEnabled, shouldAutoConfig } =
-            controlNet.controlNets[controlNetId];
-          return { isEnabled, shouldAutoConfig };
-        },
-        defaultSelectorOptions
-      ),
-    [controlNetId]
-  );
-
-  const { isEnabled, shouldAutoConfig } = useAppSelector(selector);
   const isBusy = useAppSelector(selectIsBusy);
 
   const handleShouldAutoConfigChanged = useCallback(() => {
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx
index 3dd420e7c9..1219239e5d 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetBeginEnd.tsx
@@ -9,48 +9,39 @@ import {
   RangeSliderTrack,
   Tooltip,
 } from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
-import { stateSelector } from 'app/store/store';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { useAppDispatch } from 'app/store/storeHooks';
 import {
+  ControlNetConfig,
   controlNetBeginStepPctChanged,
   controlNetEndStepPctChanged,
 } from 'features/controlNet/store/controlNetSlice';
-import { memo, useCallback, useMemo } from 'react';
+import { memo, useCallback } from 'react';
 
 type Props = {
-  controlNetId: string;
+  controlNet: ControlNetConfig;
 };
 
 const formatPct = (v: number) => `${Math.round(v * 100)}%`;
 
 const ParamControlNetBeginEnd = (props: Props) => {
-  const { controlNetId } = props;
+  const { beginStepPct, endStepPct, isEnabled, controlNetId } =
+    props.controlNet;
   const dispatch = useAppDispatch();
 
-  const selector = useMemo(
-    () =>
-      createSelector(
-        stateSelector,
-        ({ controlNet }) => {
-          const { beginStepPct, endStepPct, isEnabled } =
-            controlNet.controlNets[controlNetId];
-          return { beginStepPct, endStepPct, isEnabled };
-        },
-        defaultSelectorOptions
-      ),
-    [controlNetId]
-  );
-
-  const { beginStepPct, endStepPct, isEnabled } = useAppSelector(selector);
-
   const handleStepPctChanged = useCallback(
     (v: number[]) => {
       dispatch(
-        controlNetBeginStepPctChanged({ controlNetId, beginStepPct: v[0] })
+        controlNetBeginStepPctChanged({
+          controlNetId,
+          beginStepPct: v[0] as number,
+        })
+      );
+      dispatch(
+        controlNetEndStepPctChanged({
+          controlNetId,
+          endStepPct: v[1] as number,
+        })
       );
-      dispatch(controlNetEndStepPctChanged({ controlNetId, endStepPct: v[1] }));
     },
     [controlNetId, dispatch]
   );
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx
index e644e24a02..761edde42b 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetControlMode.tsx
@@ -1,16 +1,14 @@
-import { createSelector } from '@reduxjs/toolkit';
-import { stateSelector } from 'app/store/store';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { useAppDispatch } from 'app/store/storeHooks';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
 import {
   ControlModes,
+  ControlNetConfig,
   controlNetControlModeChanged,
 } from 'features/controlNet/store/controlNetSlice';
-import { useCallback, useMemo } from 'react';
+import { useCallback } from 'react';
 
 type ParamControlNetControlModeProps = {
-  controlNetId: string;
+  controlNet: ControlNetConfig;
 };
 
 const CONTROL_MODE_DATA = [
@@ -23,23 +21,8 @@ const CONTROL_MODE_DATA = [
 export default function ParamControlNetControlMode(
   props: ParamControlNetControlModeProps
 ) {
-  const { controlNetId } = props;
+  const { controlMode, isEnabled, controlNetId } = props.controlNet;
   const dispatch = useAppDispatch();
-  const selector = useMemo(
-    () =>
-      createSelector(
-        stateSelector,
-        ({ controlNet }) => {
-          const { controlMode, isEnabled } =
-            controlNet.controlNets[controlNetId];
-          return { controlMode, isEnabled };
-        },
-        defaultSelectorOptions
-      ),
-    [controlNetId]
-  );
-
-  const { controlMode, isEnabled } = useAppSelector(selector);
 
   const handleControlModeChange = useCallback(
     (controlMode: ControlModes) => {
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx
index 8392bdd2e3..5d7db854d8 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetModel.tsx
@@ -5,7 +5,10 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
 import IAIMantineSelectItemWithTooltip from 'common/components/IAIMantineSelectItemWithTooltip';
-import { controlNetModelChanged } from 'features/controlNet/store/controlNetSlice';
+import {
+  ControlNetConfig,
+  controlNetModelChanged,
+} from 'features/controlNet/store/controlNetSlice';
 import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
 import { modelIdToControlNetModelParam } from 'features/parameters/util/modelIdToControlNetModelParam';
 import { selectIsBusy } from 'features/system/store/systemSelectors';
@@ -14,30 +17,24 @@ import { memo, useCallback, useMemo } from 'react';
 import { useGetControlNetModelsQuery } from 'services/api/endpoints/models';
 
 type ParamControlNetModelProps = {
-  controlNetId: string;
+  controlNet: ControlNetConfig;
 };
 
+const selector = createSelector(
+  stateSelector,
+  ({ generation }) => {
+    const { model } = generation;
+    return { mainModel: model };
+  },
+  defaultSelectorOptions
+);
+
 const ParamControlNetModel = (props: ParamControlNetModelProps) => {
-  const { controlNetId } = props;
+  const { controlNetId, model: controlNetModel, isEnabled } = props.controlNet;
   const dispatch = useAppDispatch();
   const isBusy = useAppSelector(selectIsBusy);
 
-  const selector = useMemo(
-    () =>
-      createSelector(
-        stateSelector,
-        ({ generation, controlNet }) => {
-          const { model } = generation;
-          const controlNetModel = controlNet.controlNets[controlNetId]?.model;
-          const isEnabled = controlNet.controlNets[controlNetId]?.isEnabled;
-          return { mainModel: model, controlNetModel, isEnabled };
-        },
-        defaultSelectorOptions
-      ),
-    [controlNetId]
-  );
-
-  const { mainModel, controlNetModel, isEnabled } = useAppSelector(selector);
+  const { mainModel } = useAppSelector(selector);
 
   const { data: controlNetModels } = useGetControlNetModelsQuery();
 
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx
index 83c66363ac..190b1bc012 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetProcessorSelect.tsx
@@ -1,7 +1,6 @@
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 
 import { createSelector } from '@reduxjs/toolkit';
-import { stateSelector } from 'app/store/store';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIMantineSearchableSelect, {
   IAISelectDataType,
@@ -9,13 +8,16 @@ import IAIMantineSearchableSelect, {
 import { configSelector } from 'features/system/store/configSelectors';
 import { selectIsBusy } from 'features/system/store/systemSelectors';
 import { map } from 'lodash-es';
-import { memo, useCallback, useMemo } from 'react';
+import { memo, useCallback } from 'react';
 import { CONTROLNET_PROCESSORS } from '../../store/constants';
-import { controlNetProcessorTypeChanged } from '../../store/controlNetSlice';
+import {
+  ControlNetConfig,
+  controlNetProcessorTypeChanged,
+} from '../../store/controlNetSlice';
 import { ControlNetProcessorType } from '../../store/types';
 
 type ParamControlNetProcessorSelectProps = {
-  controlNetId: string;
+  controlNet: ControlNetConfig;
 };
 
 const selector = createSelector(
@@ -52,23 +54,9 @@ const ParamControlNetProcessorSelect = (
   props: ParamControlNetProcessorSelectProps
 ) => {
   const dispatch = useAppDispatch();
-  const { controlNetId } = props;
-  const processorNodeSelector = useMemo(
-    () =>
-      createSelector(
-        stateSelector,
-        ({ controlNet }) => {
-          const { isEnabled, processorNode } =
-            controlNet.controlNets[controlNetId];
-          return { isEnabled, processorNode };
-        },
-        defaultSelectorOptions
-      ),
-    [controlNetId]
-  );
+  const { controlNetId, isEnabled, processorNode } = props.controlNet;
   const isBusy = useAppSelector(selectIsBusy);
   const controlNetProcessors = useAppSelector(selector);
-  const { isEnabled, processorNode } = useAppSelector(processorNodeSelector);
 
   const handleProcessorTypeChanged = useCallback(
     (v: string | null) => {
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx
index ee04b8077f..72f15fb178 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetResizeMode.tsx
@@ -1,16 +1,14 @@
-import { createSelector } from '@reduxjs/toolkit';
-import { stateSelector } from 'app/store/store';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { useAppDispatch } from 'app/store/storeHooks';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
 import {
+  ControlNetConfig,
   ResizeModes,
   controlNetResizeModeChanged,
 } from 'features/controlNet/store/controlNetSlice';
-import { useCallback, useMemo } from 'react';
+import { useCallback } from 'react';
 
 type ParamControlNetResizeModeProps = {
-  controlNetId: string;
+  controlNet: ControlNetConfig;
 };
 
 const RESIZE_MODE_DATA = [
@@ -22,23 +20,8 @@ const RESIZE_MODE_DATA = [
 export default function ParamControlNetResizeMode(
   props: ParamControlNetResizeModeProps
 ) {
-  const { controlNetId } = props;
+  const { resizeMode, isEnabled, controlNetId } = props.controlNet;
   const dispatch = useAppDispatch();
-  const selector = useMemo(
-    () =>
-      createSelector(
-        stateSelector,
-        ({ controlNet }) => {
-          const { resizeMode, isEnabled } =
-            controlNet.controlNets[controlNetId];
-          return { resizeMode, isEnabled };
-        },
-        defaultSelectorOptions
-      ),
-    [controlNetId]
-  );
-
-  const { resizeMode, isEnabled } = useAppSelector(selector);
 
   const handleResizeModeChange = useCallback(
     (resizeMode: ResizeModes) => {
diff --git a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx
index 8643fd7dad..c08283e1f9 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/parameters/ParamControlNetWeight.tsx
@@ -1,32 +1,18 @@
-import { createSelector } from '@reduxjs/toolkit';
-import { stateSelector } from 'app/store/store';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { useAppDispatch } from 'app/store/storeHooks';
 import IAISlider from 'common/components/IAISlider';
-import { controlNetWeightChanged } from 'features/controlNet/store/controlNetSlice';
-import { memo, useCallback, useMemo } from 'react';
+import {
+  ControlNetConfig,
+  controlNetWeightChanged,
+} from 'features/controlNet/store/controlNetSlice';
+import { memo, useCallback } from 'react';
 
 type ParamControlNetWeightProps = {
-  controlNetId: string;
+  controlNet: ControlNetConfig;
 };
 
 const ParamControlNetWeight = (props: ParamControlNetWeightProps) => {
-  const { controlNetId } = props;
+  const { weight, isEnabled, controlNetId } = props.controlNet;
   const dispatch = useAppDispatch();
-  const selector = useMemo(
-    () =>
-      createSelector(
-        stateSelector,
-        ({ controlNet }) => {
-          const { weight, isEnabled } = controlNet.controlNets[controlNetId];
-          return { weight, isEnabled };
-        },
-        defaultSelectorOptions
-      ),
-    [controlNetId]
-  );
-
-  const { weight, isEnabled } = useAppSelector(selector);
   const handleWeightChanged = useCallback(
     (weight: number) => {
       dispatch(controlNetWeightChanged({ controlNetId, weight }));
diff --git a/invokeai/frontend/web/src/features/controlNet/store/constants.ts b/invokeai/frontend/web/src/features/controlNet/store/constants.ts
index 00f5377e00..f8f9c38619 100644
--- a/invokeai/frontend/web/src/features/controlNet/store/constants.ts
+++ b/invokeai/frontend/web/src/features/controlNet/store/constants.ts
@@ -4,7 +4,7 @@ import {
 } from './types';
 
 type ControlNetProcessorsDict = Record<
-  string,
+  ControlNetProcessorType,
   {
     type: ControlNetProcessorType | 'none';
     label: string;
diff --git a/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts b/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts
index 0df907d463..8f391521d6 100644
--- a/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts
+++ b/invokeai/frontend/web/src/features/controlNet/store/controlNetSlice.ts
@@ -96,8 +96,11 @@ export const controlNetSlice = createSlice({
       }>
     ) => {
       const { sourceControlNetId, newControlNetId } = action.payload;
-
-      const newControlnet = cloneDeep(state.controlNets[sourceControlNetId]);
+      const oldControlNet = state.controlNets[sourceControlNetId];
+      if (!oldControlNet) {
+        return;
+      }
+      const newControlnet = cloneDeep(oldControlNet);
       newControlnet.controlNetId = newControlNetId;
       state.controlNets[newControlNetId] = newControlnet;
     },
@@ -124,8 +127,11 @@ export const controlNetSlice = createSlice({
       action: PayloadAction<{ controlNetId: string }>
     ) => {
       const { controlNetId } = action.payload;
-      state.controlNets[controlNetId].isEnabled =
-        !state.controlNets[controlNetId].isEnabled;
+      const cn = state.controlNets[controlNetId];
+      if (!cn) {
+        return;
+      }
+      cn.isEnabled = !cn.isEnabled;
     },
     controlNetImageChanged: (
       state,
@@ -135,12 +141,14 @@ export const controlNetSlice = createSlice({
       }>
     ) => {
       const { controlNetId, controlImage } = action.payload;
-      state.controlNets[controlNetId].controlImage = controlImage;
-      state.controlNets[controlNetId].processedControlImage = null;
-      if (
-        controlImage !== null &&
-        state.controlNets[controlNetId].processorType !== 'none'
-      ) {
+      const cn = state.controlNets[controlNetId];
+      if (!cn) {
+        return;
+      }
+
+      cn.controlImage = controlImage;
+      cn.processedControlImage = null;
+      if (controlImage !== null && cn.processorType !== 'none') {
         state.pendingControlImages.push(controlNetId);
       }
     },
@@ -152,8 +160,12 @@ export const controlNetSlice = createSlice({
       }>
     ) => {
       const { controlNetId, processedControlImage } = action.payload;
-      state.controlNets[controlNetId].processedControlImage =
-        processedControlImage;
+      const cn = state.controlNets[controlNetId];
+      if (!cn) {
+        return;
+      }
+
+      cn.processedControlImage = processedControlImage;
       state.pendingControlImages = state.pendingControlImages.filter(
         (id) => id !== controlNetId
       );
@@ -166,10 +178,15 @@ export const controlNetSlice = createSlice({
       }>
     ) => {
       const { controlNetId, model } = action.payload;
-      state.controlNets[controlNetId].model = model;
-      state.controlNets[controlNetId].processedControlImage = null;
+      const cn = state.controlNets[controlNetId];
+      if (!cn) {
+        return;
+      }
 
-      if (state.controlNets[controlNetId].shouldAutoConfig) {
+      cn.model = model;
+      cn.processedControlImage = null;
+
+      if (cn.shouldAutoConfig) {
         let processorType: ControlNetProcessorType | undefined = undefined;
 
         for (const modelSubstring in CONTROLNET_MODEL_DEFAULT_PROCESSORS) {
@@ -180,14 +197,13 @@ export const controlNetSlice = createSlice({
         }
 
         if (processorType) {
-          state.controlNets[controlNetId].processorType = processorType;
-          state.controlNets[controlNetId].processorNode = CONTROLNET_PROCESSORS[
-            processorType
-          ].default as RequiredControlNetProcessorNode;
+          cn.processorType = processorType;
+          cn.processorNode = CONTROLNET_PROCESSORS[processorType]
+            .default as RequiredControlNetProcessorNode;
         } else {
-          state.controlNets[controlNetId].processorType = 'none';
-          state.controlNets[controlNetId].processorNode = CONTROLNET_PROCESSORS
-            .none.default as RequiredControlNetProcessorNode;
+          cn.processorType = 'none';
+          cn.processorNode = CONTROLNET_PROCESSORS.none
+            .default as RequiredControlNetProcessorNode;
         }
       }
     },
@@ -196,28 +212,48 @@ export const controlNetSlice = createSlice({
       action: PayloadAction<{ controlNetId: string; weight: number }>
     ) => {
       const { controlNetId, weight } = action.payload;
-      state.controlNets[controlNetId].weight = weight;
+      const cn = state.controlNets[controlNetId];
+      if (!cn) {
+        return;
+      }
+
+      cn.weight = weight;
     },
     controlNetBeginStepPctChanged: (
       state,
       action: PayloadAction<{ controlNetId: string; beginStepPct: number }>
     ) => {
       const { controlNetId, beginStepPct } = action.payload;
-      state.controlNets[controlNetId].beginStepPct = beginStepPct;
+      const cn = state.controlNets[controlNetId];
+      if (!cn) {
+        return;
+      }
+
+      cn.beginStepPct = beginStepPct;
     },
     controlNetEndStepPctChanged: (
       state,
       action: PayloadAction<{ controlNetId: string; endStepPct: number }>
     ) => {
       const { controlNetId, endStepPct } = action.payload;
-      state.controlNets[controlNetId].endStepPct = endStepPct;
+      const cn = state.controlNets[controlNetId];
+      if (!cn) {
+        return;
+      }
+
+      cn.endStepPct = endStepPct;
     },
     controlNetControlModeChanged: (
       state,
       action: PayloadAction<{ controlNetId: string; controlMode: ControlModes }>
     ) => {
       const { controlNetId, controlMode } = action.payload;
-      state.controlNets[controlNetId].controlMode = controlMode;
+      const cn = state.controlNets[controlNetId];
+      if (!cn) {
+        return;
+      }
+
+      cn.controlMode = controlMode;
     },
     controlNetResizeModeChanged: (
       state,
@@ -227,7 +263,12 @@ export const controlNetSlice = createSlice({
       }>
     ) => {
       const { controlNetId, resizeMode } = action.payload;
-      state.controlNets[controlNetId].resizeMode = resizeMode;
+      const cn = state.controlNets[controlNetId];
+      if (!cn) {
+        return;
+      }
+
+      cn.resizeMode = resizeMode;
     },
     controlNetProcessorParamsChanged: (
       state,
@@ -240,12 +281,17 @@ export const controlNetSlice = createSlice({
       }>
     ) => {
       const { controlNetId, changes } = action.payload;
-      const processorNode = state.controlNets[controlNetId].processorNode;
-      state.controlNets[controlNetId].processorNode = {
+      const cn = state.controlNets[controlNetId];
+      if (!cn) {
+        return;
+      }
+
+      const processorNode = cn.processorNode;
+      cn.processorNode = {
         ...processorNode,
         ...changes,
       };
-      state.controlNets[controlNetId].shouldAutoConfig = false;
+      cn.shouldAutoConfig = false;
     },
     controlNetProcessorTypeChanged: (
       state,
@@ -255,12 +301,16 @@ export const controlNetSlice = createSlice({
       }>
     ) => {
       const { controlNetId, processorType } = action.payload;
-      state.controlNets[controlNetId].processedControlImage = null;
-      state.controlNets[controlNetId].processorType = processorType;
-      state.controlNets[controlNetId].processorNode = CONTROLNET_PROCESSORS[
-        processorType
-      ].default as RequiredControlNetProcessorNode;
-      state.controlNets[controlNetId].shouldAutoConfig = false;
+      const cn = state.controlNets[controlNetId];
+      if (!cn) {
+        return;
+      }
+
+      cn.processedControlImage = null;
+      cn.processorType = processorType;
+      cn.processorNode = CONTROLNET_PROCESSORS[processorType]
+        .default as RequiredControlNetProcessorNode;
+      cn.shouldAutoConfig = false;
     },
     controlNetAutoConfigToggled: (
       state,
@@ -269,37 +319,36 @@ export const controlNetSlice = createSlice({
       }>
     ) => {
       const { controlNetId } = action.payload;
-      const newShouldAutoConfig =
-        !state.controlNets[controlNetId].shouldAutoConfig;
+      const cn = state.controlNets[controlNetId];
+      if (!cn) {
+        return;
+      }
+
+      const newShouldAutoConfig = !cn.shouldAutoConfig;
 
       if (newShouldAutoConfig) {
         // manage the processor for the user
         let processorType: ControlNetProcessorType | undefined = undefined;
 
         for (const modelSubstring in CONTROLNET_MODEL_DEFAULT_PROCESSORS) {
-          if (
-            state.controlNets[controlNetId].model?.model_name.includes(
-              modelSubstring
-            )
-          ) {
+          if (cn.model?.model_name.includes(modelSubstring)) {
             processorType = CONTROLNET_MODEL_DEFAULT_PROCESSORS[modelSubstring];
             break;
           }
         }
 
         if (processorType) {
-          state.controlNets[controlNetId].processorType = processorType;
-          state.controlNets[controlNetId].processorNode = CONTROLNET_PROCESSORS[
-            processorType
-          ].default as RequiredControlNetProcessorNode;
+          cn.processorType = processorType;
+          cn.processorNode = CONTROLNET_PROCESSORS[processorType]
+            .default as RequiredControlNetProcessorNode;
         } else {
-          state.controlNets[controlNetId].processorType = 'none';
-          state.controlNets[controlNetId].processorNode = CONTROLNET_PROCESSORS
-            .none.default as RequiredControlNetProcessorNode;
+          cn.processorType = 'none';
+          cn.processorNode = CONTROLNET_PROCESSORS.none
+            .default as RequiredControlNetProcessorNode;
         }
       }
 
-      state.controlNets[controlNetId].shouldAutoConfig = newShouldAutoConfig;
+      cn.shouldAutoConfig = newShouldAutoConfig;
     },
     controlNetReset: () => {
       return { ...initialControlNetState };
@@ -307,9 +356,11 @@ export const controlNetSlice = createSlice({
   },
   extraReducers: (builder) => {
     builder.addCase(controlNetImageProcessed, (state, action) => {
-      if (
-        state.controlNets[action.payload.controlNetId].controlImage !== null
-      ) {
+      const cn = state.controlNets[action.payload.controlNetId];
+      if (!cn) {
+        return;
+      }
+      if (cn.controlImage !== null) {
         state.pendingControlImages.push(action.payload.controlNetId);
       }
     });
diff --git a/invokeai/frontend/web/src/features/imageDeletion/components/DeleteImageButton.tsx b/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageButton.tsx
similarity index 100%
rename from invokeai/frontend/web/src/features/imageDeletion/components/DeleteImageButton.tsx
rename to invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageButton.tsx
diff --git a/invokeai/frontend/web/src/features/imageDeletion/components/DeleteImageModal.tsx b/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageModal.tsx
similarity index 70%
rename from invokeai/frontend/web/src/features/imageDeletion/components/DeleteImageModal.tsx
rename to invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageModal.tsx
index 0e72ea96ad..0d8ecfbae6 100644
--- a/invokeai/frontend/web/src/features/imageDeletion/components/DeleteImageModal.tsx
+++ b/invokeai/frontend/web/src/features/deleteImageModal/components/DeleteImageModal.tsx
@@ -15,30 +15,42 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIButton from 'common/components/IAIButton';
 import IAISwitch from 'common/components/IAISwitch';
 import { setShouldConfirmOnDelete } from 'features/system/store/systemSlice';
-
 import { stateSelector } from 'app/store/store';
+import { some } from 'lodash-es';
 import { ChangeEvent, memo, useCallback, useRef } from 'react';
 import { useTranslation } from 'react-i18next';
 import { imageDeletionConfirmed } from '../store/actions';
-import { selectImageUsage } from '../store/imageDeletionSelectors';
-import {
-  imageToDeleteCleared,
-  isModalOpenChanged,
-} from '../store/imageDeletionSlice';
+import { getImageUsage, selectImageUsage } from '../store/selectors';
+import { imageDeletionCanceled, isModalOpenChanged } from '../store/slice';
 import ImageUsageMessage from './ImageUsageMessage';
+import { ImageUsage } from '../store/types';
 
 const selector = createSelector(
   [stateSelector, selectImageUsage],
-  ({ system, config, imageDeletion }, imageUsage) => {
+  (state, imagesUsage) => {
+    const { system, config, deleteImageModal } = state;
     const { shouldConfirmOnDelete } = system;
     const { canRestoreDeletedImagesFromBin } = config;
-    const { imageToDelete, isModalOpen } = imageDeletion;
+    const { imagesToDelete, isModalOpen } = deleteImageModal;
+
+    const allImageUsage = (imagesToDelete ?? []).map(({ image_name }) =>
+      getImageUsage(state, image_name)
+    );
+
+    const imageUsageSummary: ImageUsage = {
+      isInitialImage: some(allImageUsage, (i) => i.isInitialImage),
+      isCanvasImage: some(allImageUsage, (i) => i.isCanvasImage),
+      isNodesImage: some(allImageUsage, (i) => i.isNodesImage),
+      isControlNetImage: some(allImageUsage, (i) => i.isControlNetImage),
+    };
+
     return {
       shouldConfirmOnDelete,
       canRestoreDeletedImagesFromBin,
-      imageToDelete,
-      imageUsage,
+      imagesToDelete,
+      imagesUsage,
       isModalOpen,
+      imageUsageSummary,
     };
   },
   defaultSelectorOptions
@@ -51,9 +63,10 @@ const DeleteImageModal = () => {
   const {
     shouldConfirmOnDelete,
     canRestoreDeletedImagesFromBin,
-    imageToDelete,
-    imageUsage,
+    imagesToDelete,
+    imagesUsage,
     isModalOpen,
+    imageUsageSummary,
   } = useAppSelector(selector);
 
   const handleChangeShouldConfirmOnDelete = useCallback(
@@ -63,17 +76,19 @@ const DeleteImageModal = () => {
   );
 
   const handleClose = useCallback(() => {
-    dispatch(imageToDeleteCleared());
+    dispatch(imageDeletionCanceled());
     dispatch(isModalOpenChanged(false));
   }, [dispatch]);
 
   const handleDelete = useCallback(() => {
-    if (!imageToDelete || !imageUsage) {
+    if (!imagesToDelete.length || !imagesUsage.length) {
       return;
     }
-    dispatch(imageToDeleteCleared());
-    dispatch(imageDeletionConfirmed({ imageDTO: imageToDelete, imageUsage }));
-  }, [dispatch, imageToDelete, imageUsage]);
+    dispatch(imageDeletionCanceled());
+    dispatch(
+      imageDeletionConfirmed({ imageDTOs: imagesToDelete, imagesUsage })
+    );
+  }, [dispatch, imagesToDelete, imagesUsage]);
 
   const cancelRef = useRef<HTMLButtonElement>(null);
 
@@ -92,7 +107,7 @@ const DeleteImageModal = () => {
 
           <AlertDialogBody>
             <Flex direction="column" gap={3}>
-              <ImageUsageMessage imageUsage={imageUsage} />
+              <ImageUsageMessage imageUsage={imageUsageSummary} />
               <Divider />
               <Text>
                 {canRestoreDeletedImagesFromBin
diff --git a/invokeai/frontend/web/src/features/imageDeletion/components/ImageUsageMessage.tsx b/invokeai/frontend/web/src/features/deleteImageModal/components/ImageUsageMessage.tsx
similarity index 100%
rename from invokeai/frontend/web/src/features/imageDeletion/components/ImageUsageMessage.tsx
rename to invokeai/frontend/web/src/features/deleteImageModal/components/ImageUsageMessage.tsx
diff --git a/invokeai/frontend/web/src/features/imageDeletion/store/actions.ts b/invokeai/frontend/web/src/features/deleteImageModal/store/actions.ts
similarity index 65%
rename from invokeai/frontend/web/src/features/imageDeletion/store/actions.ts
rename to invokeai/frontend/web/src/features/deleteImageModal/store/actions.ts
index c67d7d944d..def27c9954 100644
--- a/invokeai/frontend/web/src/features/imageDeletion/store/actions.ts
+++ b/invokeai/frontend/web/src/features/deleteImageModal/store/actions.ts
@@ -3,6 +3,6 @@ import { ImageDTO } from 'services/api/types';
 import { ImageUsage } from './types';
 
 export const imageDeletionConfirmed = createAction<{
-  imageDTO: ImageDTO;
-  imageUsage: ImageUsage;
-}>('imageDeletion/imageDeletionConfirmed');
+  imageDTOs: ImageDTO[];
+  imagesUsage: ImageUsage[];
+}>('deleteImageModal/imageDeletionConfirmed');
diff --git a/invokeai/frontend/web/src/features/deleteImageModal/store/initialState.ts b/invokeai/frontend/web/src/features/deleteImageModal/store/initialState.ts
new file mode 100644
index 0000000000..198d4ca51f
--- /dev/null
+++ b/invokeai/frontend/web/src/features/deleteImageModal/store/initialState.ts
@@ -0,0 +1,6 @@
+import { DeleteImageState } from './types';
+
+export const initialDeleteImageState: DeleteImageState = {
+  imagesToDelete: [],
+  isModalOpen: false,
+};
diff --git a/invokeai/frontend/web/src/features/imageDeletion/store/imageDeletionSelectors.ts b/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts
similarity index 84%
rename from invokeai/frontend/web/src/features/imageDeletion/store/imageDeletionSelectors.ts
rename to invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts
index bd8e117496..310521f32a 100644
--- a/invokeai/frontend/web/src/features/imageDeletion/store/imageDeletionSelectors.ts
+++ b/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts
@@ -39,17 +39,17 @@ export const getImageUsage = (state: RootState, image_name: string) => {
 export const selectImageUsage = createSelector(
   [(state: RootState) => state],
   (state) => {
-    const { imageToDelete } = state.imageDeletion;
+    const { imagesToDelete } = state.deleteImageModal;
 
-    if (!imageToDelete) {
-      return;
+    if (!imagesToDelete.length) {
+      return [];
     }
 
-    const { image_name } = imageToDelete;
+    const imagesUsage = imagesToDelete.map((i) =>
+      getImageUsage(state, i.image_name)
+    );
 
-    const imageUsage = getImageUsage(state, image_name);
-
-    return imageUsage;
+    return imagesUsage;
   },
   defaultSelectorOptions
 );
diff --git a/invokeai/frontend/web/src/features/deleteImageModal/store/slice.ts b/invokeai/frontend/web/src/features/deleteImageModal/store/slice.ts
new file mode 100644
index 0000000000..6569009666
--- /dev/null
+++ b/invokeai/frontend/web/src/features/deleteImageModal/store/slice.ts
@@ -0,0 +1,28 @@
+import { PayloadAction, createSlice } from '@reduxjs/toolkit';
+import { ImageDTO } from 'services/api/types';
+import { initialDeleteImageState } from './initialState';
+
+const deleteImageModal = createSlice({
+  name: 'deleteImageModal',
+  initialState: initialDeleteImageState,
+  reducers: {
+    isModalOpenChanged: (state, action: PayloadAction<boolean>) => {
+      state.isModalOpen = action.payload;
+    },
+    imagesToDeleteSelected: (state, action: PayloadAction<ImageDTO[]>) => {
+      state.imagesToDelete = action.payload;
+    },
+    imageDeletionCanceled: (state) => {
+      state.imagesToDelete = [];
+      state.isModalOpen = false;
+    },
+  },
+});
+
+export const {
+  isModalOpenChanged,
+  imagesToDeleteSelected,
+  imageDeletionCanceled,
+} = deleteImageModal.actions;
+
+export default deleteImageModal.reducer;
diff --git a/invokeai/frontend/web/src/features/deleteImageModal/store/types.ts b/invokeai/frontend/web/src/features/deleteImageModal/store/types.ts
new file mode 100644
index 0000000000..2beaa8ca2e
--- /dev/null
+++ b/invokeai/frontend/web/src/features/deleteImageModal/store/types.ts
@@ -0,0 +1,13 @@
+import { ImageDTO } from 'services/api/types';
+
+export type DeleteImageState = {
+  imagesToDelete: ImageDTO[];
+  isModalOpen: boolean;
+};
+
+export type ImageUsage = {
+  isInitialImage: boolean;
+  isCanvasImage: boolean;
+  isNodesImage: boolean;
+  isControlNetImage: boolean;
+};
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx
index 9f02a29f10..96d17b548e 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardAutoAddSelect.tsx
@@ -56,7 +56,7 @@ const BoardAutoAddSelect = () => {
         return;
       }
 
-      dispatch(autoAddBoardIdChanged(v === 'none' ? undefined : v));
+      dispatch(autoAddBoardIdChanged(v));
     },
     [dispatch]
   );
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx
index 2774288612..0667c05435 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx
@@ -11,10 +11,11 @@ import { BoardDTO } from 'services/api/types';
 import { menuListMotionProps } from 'theme/components/menu';
 import GalleryBoardContextMenuItems from './GalleryBoardContextMenuItems';
 import NoBoardContextMenuItems from './NoBoardContextMenuItems';
+import { BoardId } from 'features/gallery/store/types';
 
 type Props = {
   board?: BoardDTO;
-  board_id?: string;
+  board_id: BoardId;
   children: ContextMenuProps<HTMLDivElement>['children'];
   setBoardToDelete?: (board?: BoardDTO) => void;
 };
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BatchBoard.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BatchBoard.tsx
deleted file mode 100644
index a7a3040cce..0000000000
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BatchBoard.tsx
+++ /dev/null
@@ -1,43 +0,0 @@
-import { createSelector } from '@reduxjs/toolkit';
-import { AddToBatchDropData } from 'app/components/ImageDnd/typesafeDnd';
-import { stateSelector } from 'app/store/store';
-import { useAppSelector } from 'app/store/storeHooks';
-import { boardIdSelected } from 'features/gallery/store/gallerySlice';
-import { useCallback } from 'react';
-import { FaLayerGroup } from 'react-icons/fa';
-import { useDispatch } from 'react-redux';
-import GenericBoard from './GenericBoard';
-
-const selector = createSelector(stateSelector, (state) => {
-  return {
-    count: state.gallery.batchImageNames.length,
-  };
-});
-
-const BatchBoard = ({ isSelected }: { isSelected: boolean }) => {
-  const dispatch = useDispatch();
-  const { count } = useAppSelector(selector);
-
-  const handleBatchBoardClick = useCallback(() => {
-    dispatch(boardIdSelected('batch'));
-  }, [dispatch]);
-
-  const droppableData: AddToBatchDropData = {
-    id: 'batch-board',
-    actionType: 'ADD_TO_BATCH',
-  };
-
-  return (
-    <GenericBoard
-      board_id="batch"
-      droppableData={droppableData}
-      onClick={handleBatchBoardClick}
-      isSelected={isSelected}
-      icon={FaLayerGroup}
-      label="Batch"
-      badgeCount={count}
-    />
-  );
-};
-
-export default BatchBoard;
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BoardsList.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BoardsList.tsx
index 512fced67c..cb3474f6bd 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BoardsList.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BoardsList.tsx
@@ -15,10 +15,9 @@ import NoBoardBoard from './NoBoardBoard';
 
 const selector = createSelector(
   [stateSelector],
-  ({ boards, gallery }) => {
-    const { searchText } = boards;
-    const { selectedBoardId } = gallery;
-    return { selectedBoardId, searchText };
+  ({ gallery }) => {
+    const { selectedBoardId, boardSearchText } = gallery;
+    return { selectedBoardId, boardSearchText };
   },
   defaultSelectorOptions
 );
@@ -29,11 +28,11 @@ type Props = {
 
 const BoardsList = (props: Props) => {
   const { isOpen } = props;
-  const { selectedBoardId, searchText } = useAppSelector(selector);
+  const { selectedBoardId, boardSearchText } = useAppSelector(selector);
   const { data: boards } = useListAllBoardsQuery();
-  const filteredBoards = searchText
+  const filteredBoards = boardSearchText
     ? boards?.filter((board) =>
-        board.board_name.toLowerCase().includes(searchText.toLowerCase())
+        board.board_name.toLowerCase().includes(boardSearchText.toLowerCase())
       )
     : boards;
   const [boardToDelete, setBoardToDelete] = useState<BoardDTO>();
@@ -75,7 +74,7 @@ const BoardsList = (props: Props) => {
               }}
             >
               <GridItem sx={{ p: 1.5 }}>
-                <NoBoardBoard isSelected={selectedBoardId === undefined} />
+                <NoBoardBoard isSelected={selectedBoardId === 'none'} />
               </GridItem>
               {filteredBoards &&
                 filteredBoards.map((board) => (
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BoardsSearch.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BoardsSearch.tsx
index 800ffc651f..d7db96a938 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BoardsSearch.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/BoardsSearch.tsx
@@ -9,7 +9,7 @@ import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import { setBoardSearchText } from 'features/gallery/store/boardSlice';
+import { boardSearchTextChanged } from 'features/gallery/store/gallerySlice';
 import {
   ChangeEvent,
   KeyboardEvent,
@@ -21,27 +21,27 @@ import {
 
 const selector = createSelector(
   [stateSelector],
-  ({ boards }) => {
-    const { searchText } = boards;
-    return { searchText };
+  ({ gallery }) => {
+    const { boardSearchText } = gallery;
+    return { boardSearchText };
   },
   defaultSelectorOptions
 );
 
 const BoardsSearch = () => {
   const dispatch = useAppDispatch();
-  const { searchText } = useAppSelector(selector);
+  const { boardSearchText } = useAppSelector(selector);
   const inputRef = useRef<HTMLInputElement>(null);
 
   const handleBoardSearch = useCallback(
     (searchTerm: string) => {
-      dispatch(setBoardSearchText(searchTerm));
+      dispatch(boardSearchTextChanged(searchTerm));
     },
     [dispatch]
   );
 
   const clearBoardSearch = useCallback(() => {
-    dispatch(setBoardSearchText(''));
+    dispatch(boardSearchTextChanged(''));
   }, [dispatch]);
 
   const handleKeydown = useCallback(
@@ -74,11 +74,11 @@ const BoardsSearch = () => {
       <Input
         ref={inputRef}
         placeholder="Search Boards..."
-        value={searchText}
+        value={boardSearchText}
         onKeyDown={handleKeydown}
         onChange={handleChange}
       />
-      {searchText && searchText.length && (
+      {boardSearchText && boardSearchText.length && (
         <InputRightElement>
           <IconButton
             onClick={clearBoardSearch}
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx
index 3b591ee00f..228ce7080c 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx
@@ -7,10 +7,11 @@ import {
   Icon,
   Image,
   Text,
+  Tooltip,
 } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { skipToken } from '@reduxjs/toolkit/dist/query';
-import { MoveBoardDropData } from 'app/components/ImageDnd/typesafeDnd';
+import { AddToBoardDropData } from 'app/components/ImageDnd/typesafeDnd';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
@@ -22,7 +23,11 @@ import {
 } from 'features/gallery/store/gallerySlice';
 import { memo, useCallback, useMemo, useState } from 'react';
 import { FaUser } from 'react-icons/fa';
-import { useUpdateBoardMutation } from 'services/api/endpoints/boards';
+import {
+  useGetBoardAssetsTotalQuery,
+  useGetBoardImagesTotalQuery,
+  useUpdateBoardMutation,
+} from 'services/api/endpoints/boards';
 import { useGetImageDTOQuery } from 'services/api/endpoints/images';
 import { BoardDTO } from 'services/api/types';
 import AutoAddIcon from '../AutoAddIcon';
@@ -67,6 +72,18 @@ const GalleryBoard = memo(
     const handleMouseOut = useCallback(() => {
       setIsHovered(false);
     }, []);
+
+    const { data: imagesTotal } = useGetBoardImagesTotalQuery(board.board_id);
+    const { data: assetsTotal } = useGetBoardAssetsTotalQuery(board.board_id);
+    const tooltip = useMemo(() => {
+      if (!imagesTotal || !assetsTotal) {
+        return undefined;
+      }
+      return `${imagesTotal} image${
+        imagesTotal > 1 ? 's' : ''
+      }, ${assetsTotal} asset${assetsTotal > 1 ? 's' : ''}`;
+    }, [assetsTotal, imagesTotal]);
+
     const { currentData: coverImage } = useGetImageDTOQuery(
       board.cover_image_name ?? skipToken
     );
@@ -84,10 +101,10 @@ const GalleryBoard = memo(
     const [updateBoard, { isLoading: isUpdateBoardLoading }] =
       useUpdateBoardMutation();
 
-    const droppableData: MoveBoardDropData = useMemo(
+    const droppableData: AddToBoardDropData = useMemo(
       () => ({
         id: board_id,
-        actionType: 'MOVE_BOARD',
+        actionType: 'ADD_TO_BOARD',
         context: { boardId: board_id },
       }),
       [board_id]
@@ -148,60 +165,61 @@ const GalleryBoard = memo(
             setBoardToDelete={setBoardToDelete}
           >
             {(ref) => (
-              <Flex
-                ref={ref}
-                onClick={handleSelectBoard}
-                sx={{
-                  w: 'full',
-                  h: 'full',
-                  position: 'relative',
-                  justifyContent: 'center',
-                  alignItems: 'center',
-                  borderRadius: 'base',
-                  cursor: 'pointer',
-                  bg: 'base.200',
-                  _dark: {
-                    bg: 'base.800',
-                  },
-                }}
-              >
-                {coverImage?.thumbnail_url ? (
-                  <Image
-                    src={coverImage?.thumbnail_url}
-                    draggable={false}
-                    sx={{
-                      objectFit: 'cover',
-                      w: 'full',
-                      h: 'full',
-                      maxH: 'full',
-                      borderRadius: 'base',
-                      borderBottomRadius: 'lg',
-                    }}
-                  />
-                ) : (
-                  <Flex
-                    sx={{
-                      w: 'full',
-                      h: 'full',
-                      justifyContent: 'center',
-                      alignItems: 'center',
-                    }}
-                  >
-                    <Icon
-                      boxSize={12}
-                      as={FaUser}
+              <Tooltip label={tooltip} openDelay={1000} hasArrow>
+                <Flex
+                  ref={ref}
+                  onClick={handleSelectBoard}
+                  sx={{
+                    w: 'full',
+                    h: 'full',
+                    position: 'relative',
+                    justifyContent: 'center',
+                    alignItems: 'center',
+                    borderRadius: 'base',
+                    cursor: 'pointer',
+                    bg: 'base.200',
+                    _dark: {
+                      bg: 'base.800',
+                    },
+                  }}
+                >
+                  {coverImage?.thumbnail_url ? (
+                    <Image
+                      src={coverImage?.thumbnail_url}
+                      draggable={false}
                       sx={{
-                        mt: -6,
-                        opacity: 0.7,
-                        color: 'base.500',
-                        _dark: {
-                          color: 'base.500',
-                        },
+                        objectFit: 'cover',
+                        w: 'full',
+                        h: 'full',
+                        maxH: 'full',
+                        borderRadius: 'base',
+                        borderBottomRadius: 'lg',
                       }}
                     />
-                  </Flex>
-                )}
-                {/* <Flex
+                  ) : (
+                    <Flex
+                      sx={{
+                        w: 'full',
+                        h: 'full',
+                        justifyContent: 'center',
+                        alignItems: 'center',
+                      }}
+                    >
+                      <Icon
+                        boxSize={12}
+                        as={FaUser}
+                        sx={{
+                          mt: -6,
+                          opacity: 0.7,
+                          color: 'base.500',
+                          _dark: {
+                            color: 'base.500',
+                          },
+                        }}
+                      />
+                    </Flex>
+                  )}
+                  {/* <Flex
                   sx={{
                     position: 'absolute',
                     insetInlineEnd: 0,
@@ -213,71 +231,72 @@ const GalleryBoard = memo(
                     {totalImages}/{totalAssets}
                   </Badge>
                 </Flex> */}
-                {isSelectedForAutoAdd && <AutoAddIcon />}
-                <SelectionOverlay
-                  isSelected={isSelected}
-                  isHovered={isHovered}
-                />
-                <Flex
-                  sx={{
-                    position: 'absolute',
-                    bottom: 0,
-                    left: 0,
-                    p: 1,
-                    justifyContent: 'center',
-                    alignItems: 'center',
-                    w: 'full',
-                    maxW: 'full',
-                    borderBottomRadius: 'base',
-                    bg: isSelected ? 'accent.400' : 'base.500',
-                    color: isSelected ? 'base.50' : 'base.100',
-                    _dark: {
-                      bg: isSelected ? 'accent.500' : 'base.600',
-                      color: isSelected ? 'base.50' : 'base.100',
-                    },
-                    lineHeight: 'short',
-                    fontSize: 'xs',
-                  }}
-                >
-                  <Editable
-                    value={localBoardName}
-                    isDisabled={isUpdateBoardLoading}
-                    submitOnBlur={true}
-                    onChange={handleChange}
-                    onSubmit={handleSubmit}
+                  {isSelectedForAutoAdd && <AutoAddIcon />}
+                  <SelectionOverlay
+                    isSelected={isSelected}
+                    isHovered={isHovered}
+                  />
+                  <Flex
                     sx={{
+                      position: 'absolute',
+                      bottom: 0,
+                      left: 0,
+                      p: 1,
+                      justifyContent: 'center',
+                      alignItems: 'center',
                       w: 'full',
+                      maxW: 'full',
+                      borderBottomRadius: 'base',
+                      bg: isSelected ? 'accent.400' : 'base.500',
+                      color: isSelected ? 'base.50' : 'base.100',
+                      _dark: {
+                        bg: isSelected ? 'accent.500' : 'base.600',
+                        color: isSelected ? 'base.50' : 'base.100',
+                      },
+                      lineHeight: 'short',
+                      fontSize: 'xs',
                     }}
                   >
-                    <EditablePreview
+                    <Editable
+                      value={localBoardName}
+                      isDisabled={isUpdateBoardLoading}
+                      submitOnBlur={true}
+                      onChange={handleChange}
+                      onSubmit={handleSubmit}
                       sx={{
-                        p: 0,
-                        fontWeight: isSelected ? 700 : 500,
-                        textAlign: 'center',
-                        overflow: 'hidden',
-                        textOverflow: 'ellipsis',
+                        w: 'full',
                       }}
-                      noOfLines={1}
-                    />
-                    <EditableInput
-                      sx={{
-                        p: 0,
-                        _focusVisible: {
+                    >
+                      <EditablePreview
+                        sx={{
                           p: 0,
+                          fontWeight: isSelected ? 700 : 500,
                           textAlign: 'center',
-                          // get rid of the edit border
-                          boxShadow: 'none',
-                        },
-                      }}
-                    />
-                  </Editable>
-                </Flex>
+                          overflow: 'hidden',
+                          textOverflow: 'ellipsis',
+                        }}
+                        noOfLines={1}
+                      />
+                      <EditableInput
+                        sx={{
+                          p: 0,
+                          _focusVisible: {
+                            p: 0,
+                            textAlign: 'center',
+                            // get rid of the edit border
+                            boxShadow: 'none',
+                          },
+                        }}
+                      />
+                    </Editable>
+                  </Flex>
 
-                <IAIDroppable
-                  data={droppableData}
-                  dropLabel={<Text fontSize="md">Move</Text>}
-                />
-              </Flex>
+                  <IAIDroppable
+                    data={droppableData}
+                    dropLabel={<Text fontSize="md">Move</Text>}
+                  />
+                </Flex>
+              </Tooltip>
             )}
           </BoardContextMenu>
         </Flex>
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx
index 118b2108f7..f1341b1146 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx
@@ -1,6 +1,6 @@
 import { Box, Flex, Image, Text } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
-import { MoveBoardDropData } from 'app/components/ImageDnd/typesafeDnd';
+import { RemoveFromBoardDropData } from 'app/components/ImageDnd/typesafeDnd';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
@@ -15,6 +15,7 @@ import { memo, useCallback, useMemo, useState } from 'react';
 import { useBoardName } from 'services/api/hooks/useBoardName';
 import AutoAddIcon from '../AutoAddIcon';
 import BoardContextMenu from '../BoardContextMenu';
+
 interface Props {
   isSelected: boolean;
 }
@@ -33,26 +34,27 @@ const NoBoardBoard = memo(({ isSelected }: Props) => {
   const dispatch = useAppDispatch();
   const { autoAddBoardId, autoAssignBoardOnClick, isProcessing } =
     useAppSelector(selector);
-  const boardName = useBoardName(undefined);
+  const boardName = useBoardName('none');
   const handleSelectBoard = useCallback(() => {
-    dispatch(boardIdSelected(undefined));
+    dispatch(boardIdSelected('none'));
     if (autoAssignBoardOnClick && !isProcessing) {
-      dispatch(autoAddBoardIdChanged(undefined));
+      dispatch(autoAddBoardIdChanged('none'));
     }
   }, [dispatch, autoAssignBoardOnClick, isProcessing]);
   const [isHovered, setIsHovered] = useState(false);
+
   const handleMouseOver = useCallback(() => {
     setIsHovered(true);
   }, []);
+
   const handleMouseOut = useCallback(() => {
     setIsHovered(false);
   }, []);
 
-  const droppableData: MoveBoardDropData = useMemo(
+  const droppableData: RemoveFromBoardDropData = useMemo(
     () => ({
       id: 'no_board',
-      actionType: 'MOVE_BOARD',
-      context: { boardId: undefined },
+      actionType: 'REMOVE_FROM_BOARD',
     }),
     []
   );
@@ -72,7 +74,7 @@ const NoBoardBoard = memo(({ isSelected }: Props) => {
           h: 'full',
         }}
       >
-        <BoardContextMenu>
+        <BoardContextMenu board_id="none">
           {(ref) => (
             <Flex
               ref={ref}
@@ -99,17 +101,6 @@ const NoBoardBoard = memo(({ isSelected }: Props) => {
                   alignItems: 'center',
                 }}
               >
-                {/* <Icon
-                  boxSize={12}
-                  as={FaBucket}
-                  sx={{
-                    opacity: 0.7,
-                    color: 'base.500',
-                    _dark: {
-                      color: 'base.500',
-                    },
-                  }}
-                /> */}
                 <Image
                   src={InvokeAILogoImage}
                   alt="invoke-ai-logo"
@@ -125,19 +116,7 @@ const NoBoardBoard = memo(({ isSelected }: Props) => {
                   }}
                 />
               </Flex>
-              {/* <Flex
-                sx={{
-                  position: 'absolute',
-                  insetInlineEnd: 0,
-                  top: 0,
-                  p: 1,
-                }}
-              >
-                <Badge variant="solid" sx={BASE_BADGE_STYLES}>
-                  {totalImages}/{totalAssets}
-                </Badge>
-              </Flex> */}
-              {!autoAddBoardId && <AutoAddIcon />}
+              {autoAddBoardId === 'none' && <AutoAddIcon />}
               <Flex
                 sx={{
                   position: 'absolute',
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx
index 192c19c423..f09cf131e2 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/DeleteBoardModal.tsx
@@ -11,20 +11,20 @@ import {
 } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { skipToken } from '@reduxjs/toolkit/dist/query';
-import { ImageUsage } from 'app/contexts/AddImageToBoardContext';
 import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
 import IAIButton from 'common/components/IAIButton';
-import ImageUsageMessage from 'features/imageDeletion/components/ImageUsageMessage';
-import { getImageUsage } from 'features/imageDeletion/store/imageDeletionSelectors';
+import ImageUsageMessage from 'features/deleteImageModal/components/ImageUsageMessage';
+import { getImageUsage } from 'features/deleteImageModal/store/selectors';
+import { ImageUsage } from 'features/deleteImageModal/store/types';
 import { some } from 'lodash-es';
 import { memo, useCallback, useMemo, useRef } from 'react';
 import { useTranslation } from 'react-i18next';
+import { useListAllImageNamesForBoardQuery } from 'services/api/endpoints/boards';
 import {
   useDeleteBoardAndImagesMutation,
   useDeleteBoardMutation,
-  useListAllImageNamesForBoardQuery,
-} from 'services/api/endpoints/boards';
+} from 'services/api/endpoints/images';
 import { BoardDTO } from 'services/api/types';
 
 type Props = {
@@ -32,7 +32,7 @@ type Props = {
   setBoardToDelete: (board?: BoardDTO) => void;
 };
 
-const DeleteImageModal = (props: Props) => {
+const DeleteBoardModal = (props: Props) => {
   const { boardToDelete, setBoardToDelete } = props;
   const { t } = useTranslation();
   const canRestoreDeletedImagesFromBin = useAppSelector(
@@ -49,13 +49,10 @@ const DeleteImageModal = (props: Props) => {
         );
 
         const imageUsageSummary: ImageUsage = {
-          isInitialImage: some(allImageUsage, (usage) => usage.isInitialImage),
-          isCanvasImage: some(allImageUsage, (usage) => usage.isCanvasImage),
-          isNodesImage: some(allImageUsage, (usage) => usage.isNodesImage),
-          isControlNetImage: some(
-            allImageUsage,
-            (usage) => usage.isControlNetImage
-          ),
+          isInitialImage: some(allImageUsage, (i) => i.isInitialImage),
+          isCanvasImage: some(allImageUsage, (i) => i.isCanvasImage),
+          isNodesImage: some(allImageUsage, (i) => i.isNodesImage),
+          isControlNetImage: some(allImageUsage, (i) => i.isControlNetImage),
         };
         return { imageUsageSummary };
       }),
@@ -176,4 +173,4 @@ const DeleteImageModal = (props: Props) => {
   );
 };
 
-export default memo(DeleteImageModal);
+export default memo(DeleteBoardModal);
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/UpdateImageBoardModal.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/UpdateImageBoardModal.tsx
deleted file mode 100644
index 49eb1502f3..0000000000
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/UpdateImageBoardModal.tsx
+++ /dev/null
@@ -1,93 +0,0 @@
-import {
-  AlertDialog,
-  AlertDialogBody,
-  AlertDialogContent,
-  AlertDialogFooter,
-  AlertDialogHeader,
-  AlertDialogOverlay,
-  Box,
-  Flex,
-  Spinner,
-  Text,
-} from '@chakra-ui/react';
-import IAIButton from 'common/components/IAIButton';
-
-import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
-import { memo, useContext, useRef, useState } from 'react';
-import { useListAllBoardsQuery } from 'services/api/endpoints/boards';
-import { AddImageToBoardContext } from '../../../../app/contexts/AddImageToBoardContext';
-
-const UpdateImageBoardModal = () => {
-  // const boards = useSelector(selectBoardsAll);
-  const { data: boards, isFetching } = useListAllBoardsQuery();
-  const { isOpen, onClose, handleAddToBoard, image } = useContext(
-    AddImageToBoardContext
-  );
-  const [selectedBoard, setSelectedBoard] = useState<string | null>();
-
-  const cancelRef = useRef<HTMLButtonElement>(null);
-
-  const currentBoard = boards?.find(
-    (board) => board.board_id === image?.board_id
-  );
-
-  return (
-    <AlertDialog
-      isOpen={isOpen}
-      leastDestructiveRef={cancelRef}
-      onClose={onClose}
-      isCentered
-    >
-      <AlertDialogOverlay>
-        <AlertDialogContent>
-          <AlertDialogHeader fontSize="lg" fontWeight="bold">
-            {currentBoard ? 'Move Image to Board' : 'Add Image to Board'}
-          </AlertDialogHeader>
-
-          <AlertDialogBody>
-            <Box>
-              <Flex direction="column" gap={3}>
-                {currentBoard && (
-                  <Text>
-                    Moving this image from{' '}
-                    <strong>{currentBoard.board_name}</strong> to
-                  </Text>
-                )}
-                {isFetching ? (
-                  <Spinner />
-                ) : (
-                  <IAIMantineSearchableSelect
-                    placeholder="Select Board"
-                    onChange={(v) => setSelectedBoard(v)}
-                    value={selectedBoard}
-                    data={(boards ?? []).map((board) => ({
-                      label: board.board_name,
-                      value: board.board_id,
-                    }))}
-                  />
-                )}
-              </Flex>
-            </Box>
-          </AlertDialogBody>
-          <AlertDialogFooter>
-            <IAIButton onClick={onClose}>Cancel</IAIButton>
-            <IAIButton
-              isDisabled={!selectedBoard}
-              colorScheme="accent"
-              onClick={() => {
-                if (selectedBoard) {
-                  handleAddToBoard(selectedBoard);
-                }
-              }}
-              ml={3}
-            >
-              {currentBoard ? 'Move' : 'Add'}
-            </IAIButton>
-          </AlertDialogFooter>
-        </AlertDialogContent>
-      </AlertDialogOverlay>
-    </AlertDialog>
-  );
-};
-
-export default memo(UpdateImageBoardModal);
diff --git a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx
index 7d25d6bc05..d62027769b 100644
--- a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImageButtons.tsx
@@ -9,16 +9,14 @@ import {
   MenuButton,
   MenuList,
 } from '@chakra-ui/react';
-// import { runESRGAN, runFacetool } from 'app/socketio/actions';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
-
 import { skipToken } from '@reduxjs/toolkit/dist/query';
 import { useAppToaster } from 'app/components/Toaster';
 import { upscaleRequested } from 'app/store/middleware/listenerMiddleware/listeners/upscaleRequested';
 import { stateSelector } from 'app/store/store';
-import { DeleteImageButton } from 'features/imageDeletion/components/DeleteImageButton';
-import { imageToDeleteSelected } from 'features/imageDeletion/store/imageDeletionSlice';
+import { DeleteImageButton } from 'features/deleteImageModal/components/DeleteImageButton';
+import { imagesToDeleteSelected } from 'features/deleteImageModal/store/slice';
 import ParamUpscalePopover from 'features/parameters/components/Parameters/Upscale/ParamUpscaleSettings';
 import { useRecallParameters } from 'features/parameters/hooks/useRecallParameters';
 import { initialImageSelected } from 'features/parameters/store/actions';
@@ -109,13 +107,13 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => {
   );
 
   const { currentData: imageDTO } = useGetImageDTOQuery(
-    lastSelectedImage ?? skipToken
+    lastSelectedImage?.image_name ?? skipToken
   );
 
   const { currentData: metadataData } = useGetImageMetadataQuery(
     debounceState.isPending()
       ? skipToken
-      : debouncedMetadataQueryArg ?? skipToken
+      : debouncedMetadataQueryArg?.image_name ?? skipToken
   );
 
   const metadata = metadataData?.metadata;
@@ -173,7 +171,7 @@ const CurrentImageButtons = (props: CurrentImageButtonsProps) => {
     if (!imageDTO) {
       return;
     }
-    dispatch(imageToDeleteSelected(imageDTO));
+    dispatch(imagesToDeleteSelected([imageDTO]));
   }, [dispatch, imageDTO]);
 
   useHotkeys(
diff --git a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx
index fd7eaef46a..f78ee286ef 100644
--- a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx
@@ -32,7 +32,7 @@ export const imagesSelector = createSelector(
     return {
       shouldShowImageDetails,
       shouldHidePreview,
-      imageName: lastSelectedImage,
+      imageName: lastSelectedImage?.image_name,
       progressImage,
       shouldShowProgressInViewer,
       shouldAntialiasProgressImage,
@@ -57,8 +57,6 @@ const CurrentImagePreview = () => {
   const {
     handlePrevImage,
     handleNextImage,
-    prevImageId,
-    nextImageId,
     isOnLastImage,
     handleLoadMoreImages,
     areMoreImagesAvailable,
@@ -70,7 +68,7 @@ const CurrentImagePreview = () => {
     () => {
       handlePrevImage();
     },
-    [prevImageId]
+    [handlePrevImage]
   );
 
   useHotkeys(
@@ -85,11 +83,11 @@ const CurrentImagePreview = () => {
       }
     },
     [
-      nextImageId,
       isOnLastImage,
       areMoreImagesAvailable,
       handleLoadMoreImages,
       isFetching,
+      handleNextImage,
     ]
   );
 
diff --git a/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx b/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx
index 796cc542e7..5c32cc788e 100644
--- a/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx
@@ -5,17 +5,19 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIIconButton from 'common/components/IAIIconButton';
 import IAIPopover from 'common/components/IAIPopover';
-import IAISimpleCheckbox from 'common/components/IAISimpleCheckbox';
 import IAISlider from 'common/components/IAISlider';
+import IAISwitch from 'common/components/IAISwitch';
 import {
   autoAssignBoardOnClickChanged,
   setGalleryImageMinimumWidth,
   shouldAutoSwitchChanged,
+  shouldShowDeleteButtonChanged,
 } from 'features/gallery/store/gallerySlice';
-import { ChangeEvent } from 'react';
+import { ChangeEvent, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 import { FaWrench } from 'react-icons/fa';
 import BoardAutoAddSelect from './Boards/BoardAutoAddSelect';
+import IAISimpleCheckbox from 'common/components/IAISimpleCheckbox';
 
 const selector = createSelector(
   [stateSelector],
@@ -24,12 +26,14 @@ const selector = createSelector(
       galleryImageMinimumWidth,
       shouldAutoSwitch,
       autoAssignBoardOnClick,
+      shouldShowDeleteButton,
     } = state.gallery;
 
     return {
       galleryImageMinimumWidth,
       shouldAutoSwitch,
       autoAssignBoardOnClick,
+      shouldShowDeleteButton,
     };
   },
   defaultSelectorOptions
@@ -39,12 +43,37 @@ const GallerySettingsPopover = () => {
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
 
-  const { galleryImageMinimumWidth, shouldAutoSwitch, autoAssignBoardOnClick } =
-    useAppSelector(selector);
+  const {
+    galleryImageMinimumWidth,
+    shouldAutoSwitch,
+    autoAssignBoardOnClick,
+    shouldShowDeleteButton,
+  } = useAppSelector(selector);
 
-  const handleChangeGalleryImageMinimumWidth = (v: number) => {
-    dispatch(setGalleryImageMinimumWidth(v));
-  };
+  const handleChangeGalleryImageMinimumWidth = useCallback(
+    (v: number) => {
+      dispatch(setGalleryImageMinimumWidth(v));
+    },
+    [dispatch]
+  );
+
+  const handleResetGalleryImageMinimumWidth = useCallback(() => {
+    dispatch(setGalleryImageMinimumWidth(64));
+  }, [dispatch]);
+
+  const handleChangeAutoSwitch = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(shouldAutoSwitchChanged(e.target.checked));
+    },
+    [dispatch]
+  );
+
+  const handleChangeShowDeleteButton = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(shouldShowDeleteButtonChanged(e.target.checked));
+    },
+    [dispatch]
+  );
 
   return (
     <IAIPopover
@@ -57,7 +86,7 @@ const GallerySettingsPopover = () => {
         />
       }
     >
-      <Flex direction="column" gap={4}>
+      <Flex direction="column" gap={2}>
         <IAISlider
           value={galleryImageMinimumWidth}
           onChange={handleChangeGalleryImageMinimumWidth}
@@ -66,14 +95,17 @@ const GallerySettingsPopover = () => {
           hideTooltip={true}
           label={t('gallery.galleryImageSize')}
           withReset
-          handleReset={() => dispatch(setGalleryImageMinimumWidth(64))}
+          handleReset={handleResetGalleryImageMinimumWidth}
         />
-        <IAISimpleCheckbox
+        <IAISwitch
           label={t('gallery.autoSwitchNewImages')}
           isChecked={shouldAutoSwitch}
-          onChange={(e: ChangeEvent<HTMLInputElement>) =>
-            dispatch(shouldAutoSwitchChanged(e.target.checked))
-          }
+          onChange={handleChangeAutoSwitch}
+        />
+        <IAISwitch
+          label="Show Delete Button"
+          isChecked={shouldShowDeleteButton}
+          onChange={handleChangeShowDeleteButton}
         />
         <IAISimpleCheckbox
           label={t('gallery.autoAssignBoardOnClick')}
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/ImageContextMenu.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/ImageContextMenu.tsx
index 565012a36f..ce8b4450a6 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/ImageContextMenu.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/ImageContextMenu.tsx
@@ -4,28 +4,29 @@ import { MouseEvent, memo, useCallback } from 'react';
 import { ImageDTO } from 'services/api/types';
 import { menuListMotionProps } from 'theme/components/menu';
 import SingleSelectionMenuItems from './SingleSelectionMenuItems';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { useAppSelector } from 'app/store/storeHooks';
+import MultipleSelectionMenuItems from './MultipleSelectionMenuItems';
 
 type Props = {
   imageDTO: ImageDTO | undefined;
   children: ContextMenuProps<HTMLDivElement>['children'];
 };
 
+const selector = createSelector(
+  [stateSelector],
+  ({ gallery }) => {
+    const selectionCount = gallery.selection.length;
+
+    return { selectionCount };
+  },
+  defaultSelectorOptions
+);
+
 const ImageContextMenu = ({ imageDTO, children }: Props) => {
-  // const selector = useMemo(
-  //   () =>
-  //     createSelector(
-  //       [stateSelector],
-  //       ({ gallery }) => {
-  //         const selectionCount = gallery.selection.length;
-
-  //         return { selectionCount };
-  //       },
-  //       defaultSelectorOptions
-  //     ),
-  //   []
-  // );
-
-  // const { selectionCount } = useAppSelector(selector);
+  const { selectionCount } = useAppSelector(selector);
 
   const skipEvent = useCallback((e: MouseEvent<HTMLDivElement>) => {
     e.preventDefault();
@@ -38,8 +39,24 @@ const ImageContextMenu = ({ imageDTO, children }: Props) => {
         bg: 'transparent',
         _hover: { bg: 'transparent' },
       }}
-      renderMenu={() =>
-        imageDTO ? (
+      renderMenu={() => {
+        if (!imageDTO) {
+          return null;
+        }
+
+        if (selectionCount > 1) {
+          return (
+            <MenuList
+              sx={{ visibility: 'visible !important' }}
+              motionProps={menuListMotionProps}
+              onContextMenu={skipEvent}
+            >
+              <MultipleSelectionMenuItems />
+            </MenuList>
+          );
+        }
+
+        return (
           <MenuList
             sx={{ visibility: 'visible !important' }}
             motionProps={menuListMotionProps}
@@ -47,8 +64,8 @@ const ImageContextMenu = ({ imageDTO, children }: Props) => {
           >
             <SingleSelectionMenuItems imageDTO={imageDTO} />
           </MenuList>
-        ) : null
-      }
+        );
+      }}
     >
       {children}
     </ContextMenu>
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
index 62d2cb06f4..079fc43a4a 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
@@ -1,30 +1,30 @@
 import { MenuItem } from '@chakra-ui/react';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import {
+  imagesToChangeSelected,
+  isModalOpenChanged,
+} from 'features/changeBoardModal/store/slice';
+import { imagesToDeleteSelected } from 'features/deleteImageModal/store/slice';
 import { useCallback } from 'react';
-import { FaFolder, FaFolderPlus, FaTrash } from 'react-icons/fa';
+import { FaFolder, FaTrash } from 'react-icons/fa';
 
 const MultipleSelectionMenuItems = () => {
-  const handleAddSelectionToBoard = useCallback(() => {
-    // TODO: add selection to board
-  }, []);
+  const dispatch = useAppDispatch();
+  const selection = useAppSelector((state) => state.gallery.selection);
+
+  const handleChangeBoard = useCallback(() => {
+    dispatch(imagesToChangeSelected(selection));
+    dispatch(isModalOpenChanged(true));
+  }, [dispatch, selection]);
 
   const handleDeleteSelection = useCallback(() => {
-    // TODO: delete all selected images
-  }, []);
-
-  const handleAddSelectionToBatch = useCallback(() => {
-    // TODO: add selection to batch
-  }, []);
+    dispatch(imagesToDeleteSelected(selection));
+  }, [dispatch, selection]);
 
   return (
     <>
-      <MenuItem icon={<FaFolder />} onClickCapture={handleAddSelectionToBoard}>
-        Move Selection to Board
-      </MenuItem>
-      <MenuItem
-        icon={<FaFolderPlus />}
-        onClickCapture={handleAddSelectionToBatch}
-      >
-        Add Selection to Batch
+      <MenuItem icon={<FaFolder />} onClickCapture={handleChangeBoard}>
+        Change Board
       </MenuItem>
       <MenuItem
         sx={{ color: 'error.600', _dark: { color: 'error.300' } }}
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
index c7b1494ecb..f857abf5ff 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
@@ -1,22 +1,22 @@
 import { MenuItem } from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
 import { skipToken } from '@reduxjs/toolkit/dist/query';
 import { useAppToaster } from 'app/components/Toaster';
-import { stateSelector } from 'app/store/store';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { useAppDispatch } from 'app/store/storeHooks';
 import {
   resizeAndScaleCanvas,
   setInitialCanvasImage,
 } from 'features/canvas/store/canvasSlice';
-import { imagesAddedToBatch } from 'features/gallery/store/gallerySlice';
-import { imageToDeleteSelected } from 'features/imageDeletion/store/imageDeletionSlice';
+import {
+  imagesToChangeSelected,
+  isModalOpenChanged,
+} from 'features/changeBoardModal/store/slice';
+import { imagesToDeleteSelected } from 'features/deleteImageModal/store/slice';
 import { useRecallParameters } from 'features/parameters/hooks/useRecallParameters';
 import { initialImageSelected } from 'features/parameters/store/actions';
 import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
 import { useCopyImageToClipboard } from 'features/ui/hooks/useCopyImageToClipboard';
 import { setActiveTab } from 'features/ui/store/uiSlice';
-import { memo, useCallback, useContext, useMemo } from 'react';
+import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 import {
   FaAsterisk,
@@ -29,13 +29,9 @@ import {
   FaShare,
   FaTrash,
 } from 'react-icons/fa';
-import {
-  useGetImageMetadataQuery,
-  useRemoveImageFromBoardMutation,
-} from 'services/api/endpoints/images';
+import { useGetImageMetadataQuery } from 'services/api/endpoints/images';
 import { ImageDTO } from 'services/api/types';
 import { useDebounce } from 'use-debounce';
-import { AddImageToBoardContext } from '../../../../app/contexts/AddImageToBoardContext';
 import { sentImageToCanvas, sentImageToImg2Img } from '../../store/actions';
 
 type SingleSelectionMenuItemsProps = {
@@ -45,32 +41,12 @@ type SingleSelectionMenuItemsProps = {
 const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
   const { imageDTO } = props;
 
-  const selector = useMemo(
-    () =>
-      createSelector(
-        [stateSelector],
-        ({ gallery }) => {
-          const isInBatch = gallery.batchImageNames.includes(
-            imageDTO.image_name
-          );
-
-          return { isInBatch };
-        },
-        defaultSelectorOptions
-      ),
-    [imageDTO.image_name]
-  );
-
-  const { isInBatch } = useAppSelector(selector);
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
 
   const toaster = useAppToaster();
 
   const isCanvasEnabled = useFeatureStatus('unifiedCanvas').isFeatureEnabled;
-  const isBatchEnabled = useFeatureStatus('batches').isFeatureEnabled;
-
-  const { onClickAddToBoard } = useContext(AddImageToBoardContext);
 
   const [debouncedMetadataQueryArg, debounceState] = useDebounce(
     imageDTO.image_name,
@@ -92,14 +68,12 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
     if (!imageDTO) {
       return;
     }
-    dispatch(imageToDeleteSelected(imageDTO));
+    dispatch(imagesToDeleteSelected([imageDTO]));
   }, [dispatch, imageDTO]);
 
   const { recallBothPrompts, recallSeed, recallAllParameters } =
     useRecallParameters();
 
-  const [removeFromBoard] = useRemoveImageFromBoardMutation();
-
   // Recall parameters handlers
   const handleRecallPrompt = useCallback(() => {
     recallBothPrompts(
@@ -144,20 +118,10 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
     recallAllParameters(metadata);
   }, [metadata, recallAllParameters]);
 
-  const handleAddToBoard = useCallback(() => {
-    onClickAddToBoard(imageDTO);
-  }, [imageDTO, onClickAddToBoard]);
-
-  const handleRemoveFromBoard = useCallback(() => {
-    if (!imageDTO.board_id) {
-      return;
-    }
-    removeFromBoard({ imageDTO });
-  }, [imageDTO, removeFromBoard]);
-
-  const handleAddToBatch = useCallback(() => {
-    dispatch(imagesAddedToBatch([imageDTO.image_name]));
-  }, [dispatch, imageDTO.image_name]);
+  const handleChangeBoard = useCallback(() => {
+    dispatch(imagesToChangeSelected([imageDTO]));
+    dispatch(isModalOpenChanged(true));
+  }, [dispatch, imageDTO]);
 
   const handleCopyImage = useCallback(() => {
     copyImageToClipboard(imageDTO.image_url);
@@ -229,23 +193,9 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
           {t('parameters.sendToUnifiedCanvas')}
         </MenuItem>
       )}
-      {isBatchEnabled && (
-        <MenuItem
-          icon={<FaFolder />}
-          isDisabled={isInBatch}
-          onClickCapture={handleAddToBatch}
-        >
-          Add to Batch
-        </MenuItem>
-      )}
-      <MenuItem icon={<FaFolder />} onClickCapture={handleAddToBoard}>
-        {imageDTO.board_id ? 'Change Board' : 'Add to Board'}
+      <MenuItem icon={<FaFolder />} onClickCapture={handleChangeBoard}>
+        Change Board
       </MenuItem>
-      {imageDTO.board_id && (
-        <MenuItem icon={<FaFolder />} onClickCapture={handleRemoveFromBoard}>
-          Remove from Board
-        </MenuItem>
-      )}
       <MenuItem
         sx={{ color: 'error.600', _dark: { color: 'error.300' } }}
         icon={<FaTrash />}
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGalleryContent.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGalleryContent.tsx
index 5b2072bfc4..f2ff2ad30b 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGalleryContent.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageGalleryContent.tsx
@@ -20,16 +20,14 @@ import BoardsList from './Boards/BoardsList/BoardsList';
 import GalleryBoardName from './GalleryBoardName';
 import GalleryPinButton from './GalleryPinButton';
 import GallerySettingsPopover from './GallerySettingsPopover';
-import BatchImageGrid from './ImageGrid/BatchImageGrid';
 import GalleryImageGrid from './ImageGrid/GalleryImageGrid';
 
 const selector = createSelector(
   [stateSelector],
   (state) => {
-    const { selectedBoardId, galleryView } = state.gallery;
+    const { galleryView } = state.gallery;
 
     return {
-      selectedBoardId,
       galleryView,
     };
   },
@@ -39,7 +37,7 @@ const selector = createSelector(
 const ImageGalleryContent = () => {
   const resizeObserverRef = useRef<HTMLDivElement>(null);
   const galleryGridRef = useRef<HTMLDivElement>(null);
-  const { selectedBoardId, galleryView } = useAppSelector(selector);
+  const { galleryView } = useAppSelector(selector);
   const dispatch = useAppDispatch();
   const { isOpen: isBoardListOpen, onToggle: onToggleBoardList } =
     useDisclosure();
@@ -130,12 +128,7 @@ const ImageGalleryContent = () => {
             </TabList>
           </Tabs>
         </Flex>
-
-        {selectedBoardId === 'batch' ? (
-          <BatchImageGrid />
-        ) : (
-          <GalleryImageGrid />
-        )}
+        <GalleryImageGrid />
       </Flex>
     </VStack>
   );
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/BatchImage.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/BatchImage.tsx
deleted file mode 100644
index 528e8cc06f..0000000000
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/BatchImage.tsx
+++ /dev/null
@@ -1,122 +0,0 @@
-import { Box } from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
-import { TypesafeDraggableData } from 'app/components/ImageDnd/typesafeDnd';
-import { stateSelector } from 'app/store/store';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import IAIDndImage from 'common/components/IAIDndImage';
-import IAIErrorLoadingImageFallback from 'common/components/IAIErrorLoadingImageFallback';
-import IAIFillSkeleton from 'common/components/IAIFillSkeleton';
-import ImageContextMenu from 'features/gallery/components/ImageContextMenu/ImageContextMenu';
-import { imagesRemovedFromBatch } from 'features/gallery/store/gallerySlice';
-import { memo, useCallback, useMemo } from 'react';
-import { useGetImageDTOQuery } from 'services/api/endpoints/images';
-
-const makeSelector = (image_name: string) =>
-  createSelector(
-    [stateSelector],
-    (state) => ({
-      selectionCount: state.gallery.selection.length,
-      selection: state.gallery.selection,
-      isSelected: state.gallery.selection.includes(image_name),
-    }),
-    defaultSelectorOptions
-  );
-
-type BatchImageProps = {
-  imageName: string;
-};
-
-const BatchImage = (props: BatchImageProps) => {
-  const dispatch = useAppDispatch();
-  const { imageName } = props;
-  const {
-    currentData: imageDTO,
-    isLoading,
-    isError,
-  } = useGetImageDTOQuery(imageName);
-  const selector = useMemo(() => makeSelector(imageName), [imageName]);
-
-  const { isSelected, selectionCount, selection } = useAppSelector(selector);
-
-  const handleClickRemove = useCallback(() => {
-    dispatch(imagesRemovedFromBatch([imageName]));
-  }, [dispatch, imageName]);
-
-  // const handleClick = useCallback(
-  //   (e: MouseEvent<HTMLDivElement>) => {
-  //     if (e.shiftKey) {
-  //       dispatch(imageRangeEndSelected(imageName));
-  //     } else if (e.ctrlKey || e.metaKey) {
-  //       dispatch(imageSelectionToggled(imageName));
-  //     } else {
-  //       dispatch(imageSelected(imageName));
-  //     }
-  //   },
-  //   [dispatch, imageName]
-  // );
-
-  const draggableData = useMemo<TypesafeDraggableData | undefined>(() => {
-    if (selectionCount > 1) {
-      return {
-        id: 'batch',
-        payloadType: 'IMAGE_NAMES',
-        payload: { image_names: selection },
-      };
-    }
-
-    if (imageDTO) {
-      return {
-        id: 'batch',
-        payloadType: 'IMAGE_DTO',
-        payload: { imageDTO },
-      };
-    }
-  }, [imageDTO, selection, selectionCount]);
-
-  if (isLoading) {
-    return <IAIFillSkeleton />;
-  }
-
-  if (isError || !imageDTO) {
-    return <IAIErrorLoadingImageFallback />;
-  }
-
-  return (
-    <Box sx={{ w: 'full', h: 'full', touchAction: 'none' }}>
-      <ImageContextMenu imageDTO={imageDTO}>
-        {(ref) => (
-          <Box
-            position="relative"
-            key={imageName}
-            userSelect="none"
-            ref={ref}
-            sx={{
-              display: 'flex',
-              justifyContent: 'center',
-              alignItems: 'center',
-              aspectRatio: '1/1',
-            }}
-          >
-            <IAIDndImage
-              // onClick={handleClick}
-              imageDTO={imageDTO}
-              draggableData={draggableData}
-              isSelected={isSelected}
-              minSize={0}
-              onClickReset={handleClickRemove}
-              isDropDisabled={true}
-              imageSx={{ w: 'full', h: 'full' }}
-              isUploadDisabled={true}
-              resetTooltip="Remove from batch"
-              withResetIcon
-              thumbnail
-            />
-          </Box>
-        )}
-      </ImageContextMenu>
-    </Box>
-  );
-};
-
-export default memo(BatchImage);
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/BatchImageGrid.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/BatchImageGrid.tsx
deleted file mode 100644
index feaa47403d..0000000000
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/BatchImageGrid.tsx
+++ /dev/null
@@ -1,87 +0,0 @@
-import { Box } from '@chakra-ui/react';
-import { useAppSelector } from 'app/store/storeHooks';
-import { useOverlayScrollbars } from 'overlayscrollbars-react';
-
-import { memo, useEffect, useRef, useState } from 'react';
-import { useTranslation } from 'react-i18next';
-import { FaImage } from 'react-icons/fa';
-
-import { createSelector } from '@reduxjs/toolkit';
-import { stateSelector } from 'app/store/store';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import { IAINoContentFallback } from 'common/components/IAIImageFallback';
-import { VirtuosoGrid } from 'react-virtuoso';
-import BatchImage from './BatchImage';
-import ItemContainer from './ImageGridItemContainer';
-import ListContainer from './ImageGridListContainer';
-
-const selector = createSelector(
-  [stateSelector],
-  (state) => {
-    return {
-      imageNames: state.gallery.batchImageNames,
-    };
-  },
-  defaultSelectorOptions
-);
-
-const BatchImageGrid = () => {
-  const { t } = useTranslation();
-  const rootRef = useRef(null);
-  const [scroller, setScroller] = useState<HTMLElement | null>(null);
-  const [initialize, osInstance] = useOverlayScrollbars({
-    defer: true,
-    options: {
-      scrollbars: {
-        visibility: 'auto',
-        autoHide: 'leave',
-        autoHideDelay: 1300,
-        theme: 'os-theme-dark',
-      },
-      overflow: { x: 'hidden' },
-    },
-  });
-
-  const { imageNames } = useAppSelector(selector);
-
-  useEffect(() => {
-    const { current: root } = rootRef;
-    if (scroller && root) {
-      initialize({
-        target: root,
-        elements: {
-          viewport: scroller,
-        },
-      });
-    }
-    return () => osInstance()?.destroy();
-  }, [scroller, initialize, osInstance]);
-
-  if (imageNames.length) {
-    return (
-      <Box ref={rootRef} data-overlayscrollbars="" h="100%">
-        <VirtuosoGrid
-          style={{ height: '100%' }}
-          data={imageNames}
-          components={{
-            Item: ItemContainer,
-            List: ListContainer,
-          }}
-          scrollerRef={setScroller}
-          itemContent={(index, imageName) => (
-            <BatchImage key={imageName} imageName={imageName} />
-          )}
-        />
-      </Box>
-    );
-  }
-
-  return (
-    <IAINoContentFallback
-      label={t('gallery.noImagesInGallery')}
-      icon={FaImage}
-    />
-  );
-};
-
-export default memo(BatchImageGrid);
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
index 6a5d28a9ba..c9eee5f1f5 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
@@ -1,27 +1,18 @@
 import { Box, Flex } from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
-import { TypesafeDraggableData } from 'app/components/ImageDnd/typesafeDnd';
-import { stateSelector } from 'app/store/store';
+import {
+  ImageDTOsDraggableData,
+  ImageDraggableData,
+  TypesafeDraggableData,
+} from 'app/components/ImageDnd/typesafeDnd';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIDndImage from 'common/components/IAIDndImage';
 import IAIFillSkeleton from 'common/components/IAIFillSkeleton';
-import { imageSelected } from 'features/gallery/store/gallerySlice';
-import { imageToDeleteSelected } from 'features/imageDeletion/store/imageDeletionSlice';
+import { useMultiselect } from 'features/gallery/hooks/useMultiselect.ts';
+import { imagesToDeleteSelected } from 'features/deleteImageModal/store/slice';
 import { MouseEvent, memo, useCallback, useMemo } from 'react';
+import { FaTrash } from 'react-icons/fa';
 import { useGetImageDTOQuery } from 'services/api/endpoints/images';
 
-export const makeSelector = (image_name: string) =>
-  createSelector(
-    [stateSelector],
-    ({ gallery }) => ({
-      isSelected: gallery.selection.includes(image_name),
-      selectionCount: gallery.selection.length,
-      selection: gallery.selection,
-    }),
-    defaultSelectorOptions
-  );
-
 interface HoverableImageProps {
   imageName: string;
 }
@@ -30,22 +21,12 @@ const GalleryImage = (props: HoverableImageProps) => {
   const dispatch = useAppDispatch();
   const { imageName } = props;
   const { currentData: imageDTO } = useGetImageDTOQuery(imageName);
-  const localSelector = useMemo(() => makeSelector(imageName), [imageName]);
+  const shouldShowDeleteButton = useAppSelector(
+    (state) => state.gallery.shouldShowDeleteButton
+  );
 
-  const { isSelected, selectionCount, selection } =
-    useAppSelector(localSelector);
-
-  const handleClick = useCallback(() => {
-    // disable multiselect for now
-    // if (e.shiftKey) {
-    //   dispatch(imageRangeEndSelected(imageName));
-    // } else if (e.ctrlKey || e.metaKey) {
-    //   dispatch(imageSelectionToggled(imageName));
-    // } else {
-    //   dispatch(imageSelected(imageName));
-    // }
-    dispatch(imageSelected(imageName));
-  }, [dispatch, imageName]);
+  const { handleClick, isSelected, selection, selectionCount } =
+    useMultiselect(imageDTO);
 
   const handleDelete = useCallback(
     (e: MouseEvent<HTMLButtonElement>) => {
@@ -53,26 +34,28 @@ const GalleryImage = (props: HoverableImageProps) => {
       if (!imageDTO) {
         return;
       }
-      dispatch(imageToDeleteSelected(imageDTO));
+      dispatch(imagesToDeleteSelected([imageDTO]));
     },
     [dispatch, imageDTO]
   );
 
   const draggableData = useMemo<TypesafeDraggableData | undefined>(() => {
     if (selectionCount > 1) {
-      return {
+      const data: ImageDTOsDraggableData = {
         id: 'gallery-image',
-        payloadType: 'IMAGE_NAMES',
-        payload: { image_names: selection },
+        payloadType: 'IMAGE_DTOS',
+        payload: { imageDTOs: selection },
       };
+      return data;
     }
 
     if (imageDTO) {
-      return {
+      const data: ImageDraggableData = {
         id: 'gallery-image',
         payloadType: 'IMAGE_DTO',
         payload: { imageDTO },
       };
+      return data;
     }
   }, [imageDTO, selection, selectionCount]);
 
@@ -103,9 +86,9 @@ const GalleryImage = (props: HoverableImageProps) => {
           isUploadDisabled={true}
           thumbnail={true}
           withHoverOverlay
-          // resetIcon={<FaTrash />}
-          // resetTooltip="Delete image"
-          // withResetIcon // removed bc it's too easy to accidentally delete images
+          resetIcon={<FaTrash />}
+          resetTooltip="Delete image"
+          withResetIcon={shouldShowDeleteButton} // removed bc it's too easy to accidentally delete images
         />
       </Flex>
     </Box>
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
index df574c860b..c0821c2226 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx
@@ -1,6 +1,6 @@
 import { useRecallParameters } from 'features/parameters/hooks/useRecallParameters';
 import { useCallback } from 'react';
-import { UnsafeImageMetadata } from 'services/api/endpoints/images';
+import { UnsafeImageMetadata } from 'services/api/types';
 import ImageMetadataItem from './ImageMetadataItem';
 
 type Props = {
diff --git a/invokeai/frontend/web/src/features/gallery/hooks/useMultiselect.ts.ts b/invokeai/frontend/web/src/features/gallery/hooks/useMultiselect.ts.ts
new file mode 100644
index 0000000000..b59a2f3d6f
--- /dev/null
+++ b/invokeai/frontend/web/src/features/gallery/hooks/useMultiselect.ts.ts
@@ -0,0 +1,93 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { selectListImagesBaseQueryArgs } from 'features/gallery/store/gallerySelectors';
+import { uniq } from 'lodash-es';
+import { MouseEvent, useCallback, useMemo } from 'react';
+import { useListImagesQuery } from 'services/api/endpoints/images';
+import { ImageDTO } from 'services/api/types';
+import { selectionChanged } from '../store/gallerySlice';
+import { imagesSelectors } from 'services/api/util';
+
+const selector = createSelector(
+  [stateSelector, selectListImagesBaseQueryArgs],
+  ({ gallery }, queryArgs) => {
+    const selection = gallery.selection;
+
+    return {
+      queryArgs,
+      selection,
+    };
+  },
+  defaultSelectorOptions
+);
+
+export const useMultiselect = (imageDTO?: ImageDTO) => {
+  const dispatch = useAppDispatch();
+  const { queryArgs, selection } = useAppSelector(selector);
+
+  const { imageDTOs } = useListImagesQuery(queryArgs, {
+    selectFromResult: (result) => ({
+      imageDTOs: result.data ? imagesSelectors.selectAll(result.data) : [],
+    }),
+  });
+
+  const handleClick = useCallback(
+    (e: MouseEvent<HTMLDivElement>) => {
+      if (!imageDTO) {
+        return;
+      }
+      if (e.shiftKey) {
+        const rangeEndImageName = imageDTO.image_name;
+        const lastSelectedImage = selection[selection.length - 1]?.image_name;
+        const lastClickedIndex = imageDTOs.findIndex(
+          (n) => n.image_name === lastSelectedImage
+        );
+        const currentClickedIndex = imageDTOs.findIndex(
+          (n) => n.image_name === rangeEndImageName
+        );
+        if (lastClickedIndex > -1 && currentClickedIndex > -1) {
+          // We have a valid range!
+          const start = Math.min(lastClickedIndex, currentClickedIndex);
+          const end = Math.max(lastClickedIndex, currentClickedIndex);
+          const imagesToSelect = imageDTOs.slice(start, end + 1);
+          dispatch(selectionChanged(uniq(selection.concat(imagesToSelect))));
+        }
+      } else if (e.ctrlKey || e.metaKey) {
+        if (
+          selection.some((i) => i.image_name === imageDTO.image_name) &&
+          selection.length > 1
+        ) {
+          dispatch(
+            selectionChanged(
+              selection.filter((n) => n.image_name !== imageDTO.image_name)
+            )
+          );
+        } else {
+          dispatch(selectionChanged(uniq(selection.concat(imageDTO))));
+        }
+      } else {
+        dispatch(selectionChanged([imageDTO]));
+      }
+    },
+    [dispatch, imageDTO, imageDTOs, selection]
+  );
+
+  const isSelected = useMemo(
+    () =>
+      imageDTO
+        ? selection.some((i) => i.image_name === imageDTO.image_name)
+        : false,
+    [imageDTO, selection]
+  );
+
+  const selectionCount = useMemo(() => selection.length, [selection.length]);
+
+  return {
+    selection,
+    selectionCount,
+    isSelected,
+    handleClick,
+  };
+};
diff --git a/invokeai/frontend/web/src/features/gallery/hooks/useNextPrevImage.ts b/invokeai/frontend/web/src/features/gallery/hooks/useNextPrevImage.ts
index f2572a23b5..670dd7ee9f 100644
--- a/invokeai/frontend/web/src/features/gallery/hooks/useNextPrevImage.ts
+++ b/invokeai/frontend/web/src/features/gallery/hooks/useNextPrevImage.ts
@@ -4,14 +4,15 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { imageSelected } from 'features/gallery/store/gallerySlice';
 import { clamp, isEqual } from 'lodash-es';
 import { useCallback } from 'react';
+import { boardsApi } from 'services/api/endpoints/boards';
 import {
-  ListImagesArgs,
-  imagesAdapter,
   imagesApi,
   useLazyListImagesQuery,
 } from 'services/api/endpoints/images';
 import { selectListImagesBaseQueryArgs } from '../store/gallerySelectors';
 import { IMAGE_LIMIT } from '../store/types';
+import { ListImagesArgs } from 'services/api/types';
+import { imagesAdapter } from 'services/api/util';
 
 export const nextPrevImageButtonsSelector = createSelector(
   [stateSelector, selectListImagesBaseQueryArgs],
@@ -19,12 +20,21 @@ export const nextPrevImageButtonsSelector = createSelector(
     const { data, status } =
       imagesApi.endpoints.listImages.select(baseQueryArgs)(state);
 
+    const { data: total } =
+      state.gallery.galleryView === 'images'
+        ? boardsApi.endpoints.getBoardImagesTotal.select(
+            baseQueryArgs.board_id ?? 'none'
+          )(state)
+        : boardsApi.endpoints.getBoardAssetsTotal.select(
+            baseQueryArgs.board_id ?? 'none'
+          )(state);
+
     const lastSelectedImage =
       state.gallery.selection[state.gallery.selection.length - 1];
 
     const isFetching = status === 'pending';
 
-    if (!data || !lastSelectedImage || data.total === 0) {
+    if (!data || !lastSelectedImage || total === 0) {
       return {
         isFetching,
         queryArgs: baseQueryArgs,
@@ -44,30 +54,30 @@ export const nextPrevImageButtonsSelector = createSelector(
     const images = selectors.selectAll(data);
 
     const currentImageIndex = images.findIndex(
-      (i) => i.image_name === lastSelectedImage
+      (i) => i.image_name === lastSelectedImage.image_name
     );
     const nextImageIndex = clamp(currentImageIndex + 1, 0, images.length - 1);
-
     const prevImageIndex = clamp(currentImageIndex - 1, 0, images.length - 1);
 
     const nextImageId = images[nextImageIndex]?.image_name;
     const prevImageId = images[prevImageIndex]?.image_name;
 
-    const nextImage = selectors.selectById(data, nextImageId);
-    const prevImage = selectors.selectById(data, prevImageId);
+    const nextImage = nextImageId
+      ? selectors.selectById(data, nextImageId)
+      : undefined;
+    const prevImage = prevImageId
+      ? selectors.selectById(data, prevImageId)
+      : undefined;
 
     const imagesLength = images.length;
 
     return {
-      isOnFirstImage: currentImageIndex === 0,
-      isOnLastImage:
-        !isNaN(currentImageIndex) && currentImageIndex === imagesLength - 1,
-      areMoreImagesAvailable: (data?.total ?? 0) > imagesLength,
+      loadedImagesCount: images.length,
+      currentImageIndex,
+      areMoreImagesAvailable: (total ?? 0) > imagesLength,
       isFetching: status === 'pending',
       nextImage,
       prevImage,
-      nextImageId,
-      prevImageId,
       queryArgs,
     };
   },
@@ -82,22 +92,22 @@ export const useNextPrevImage = () => {
   const dispatch = useAppDispatch();
 
   const {
-    isOnFirstImage,
-    isOnLastImage,
-    nextImageId,
-    prevImageId,
+    nextImage,
+    prevImage,
     areMoreImagesAvailable,
     isFetching,
     queryArgs,
+    loadedImagesCount,
+    currentImageIndex,
   } = useAppSelector(nextPrevImageButtonsSelector);
 
   const handlePrevImage = useCallback(() => {
-    prevImageId && dispatch(imageSelected(prevImageId));
-  }, [dispatch, prevImageId]);
+    prevImage && dispatch(imageSelected(prevImage));
+  }, [dispatch, prevImage]);
 
   const handleNextImage = useCallback(() => {
-    nextImageId && dispatch(imageSelected(nextImageId));
-  }, [dispatch, nextImageId]);
+    nextImage && dispatch(imageSelected(nextImage));
+  }, [dispatch, nextImage]);
 
   const [listImages] = useLazyListImagesQuery();
 
@@ -108,10 +118,12 @@ export const useNextPrevImage = () => {
   return {
     handlePrevImage,
     handleNextImage,
-    isOnFirstImage,
-    isOnLastImage,
-    nextImageId,
-    prevImageId,
+    isOnFirstImage: currentImageIndex === 0,
+    isOnLastImage:
+      currentImageIndex !== undefined &&
+      currentImageIndex === loadedImagesCount - 1,
+    nextImage,
+    prevImage,
     areMoreImagesAvailable,
     handleLoadMoreImages,
     isFetching,
diff --git a/invokeai/frontend/web/src/features/gallery/store/actions.ts b/invokeai/frontend/web/src/features/gallery/store/actions.ts
index 0e1b1ef2a0..9368fe6cf6 100644
--- a/invokeai/frontend/web/src/features/gallery/store/actions.ts
+++ b/invokeai/frontend/web/src/features/gallery/store/actions.ts
@@ -1,5 +1,5 @@
 import { createAction } from '@reduxjs/toolkit';
-import { ImageUsage } from 'app/contexts/AddImageToBoardContext';
+import { ImageUsage } from 'features/deleteImageModal/store/types';
 import { BoardDTO } from 'services/api/types';
 
 export type RequestedBoardImagesDeletionArg = {
diff --git a/invokeai/frontend/web/src/features/gallery/store/boardSlice.ts b/invokeai/frontend/web/src/features/gallery/store/boardSlice.ts
deleted file mode 100644
index ad43498e51..0000000000
--- a/invokeai/frontend/web/src/features/gallery/store/boardSlice.ts
+++ /dev/null
@@ -1,29 +0,0 @@
-import { PayloadAction, createSlice } from '@reduxjs/toolkit';
-
-type BoardsState = {
-  searchText: string;
-  updateBoardModalOpen: boolean;
-};
-
-export const initialBoardsState: BoardsState = {
-  updateBoardModalOpen: false,
-  searchText: '',
-};
-
-const boardsSlice = createSlice({
-  name: 'boards',
-  initialState: initialBoardsState,
-  reducers: {
-    setBoardSearchText: (state, action: PayloadAction<string>) => {
-      state.searchText = action.payload;
-    },
-    setUpdateBoardModalOpen: (state, action: PayloadAction<boolean>) => {
-      state.updateBoardModalOpen = action.payload;
-    },
-  },
-});
-
-export const { setBoardSearchText, setUpdateBoardModalOpen } =
-  boardsSlice.actions;
-
-export default boardsSlice.reducer;
diff --git a/invokeai/frontend/web/src/features/gallery/store/gallerySelectors.ts b/invokeai/frontend/web/src/features/gallery/store/gallerySelectors.ts
index b589550157..47e29456a0 100644
--- a/invokeai/frontend/web/src/features/gallery/store/gallerySelectors.ts
+++ b/invokeai/frontend/web/src/features/gallery/store/gallerySelectors.ts
@@ -1,7 +1,7 @@
 import { createSelector } from '@reduxjs/toolkit';
 import { RootState } from 'app/store/store';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import { ListImagesArgs } from 'services/api/endpoints/images';
+import { ListImagesArgs } from 'services/api/types';
 import {
   ASSETS_CATEGORIES,
   IMAGE_CATEGORIES,
@@ -24,7 +24,7 @@ export const selectListImagesBaseQueryArgs = createSelector(
       galleryView === 'images' ? IMAGE_CATEGORIES : ASSETS_CATEGORIES;
 
     const listImagesBaseQueryArgs: ListImagesArgs = {
-      board_id: selectedBoardId ?? 'none',
+      board_id: selectedBoardId,
       categories,
       offset: 0,
       limit: INITIAL_IMAGE_LIMIT,
diff --git a/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts b/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts
index 9c65e818f4..3b0dd233f1 100644
--- a/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts
+++ b/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts
@@ -1,66 +1,32 @@
 import type { PayloadAction } from '@reduxjs/toolkit';
 import { createSlice, isAnyOf } from '@reduxjs/toolkit';
-import { uniq } from 'lodash-es';
 import { boardsApi } from 'services/api/endpoints/boards';
+import { imagesApi } from 'services/api/endpoints/images';
+import { ImageDTO } from 'services/api/types';
 import { BoardId, GalleryState, GalleryView } from './types';
 
 export const initialGalleryState: GalleryState = {
   selection: [],
   shouldAutoSwitch: true,
-  autoAddBoardId: undefined,
   autoAssignBoardOnClick: true,
+  autoAddBoardId: 'none',
   galleryImageMinimumWidth: 96,
-  selectedBoardId: undefined,
+  selectedBoardId: 'none',
   galleryView: 'images',
-  batchImageNames: [],
-  isBatchEnabled: false,
+  shouldShowDeleteButton: false,
+  boardSearchText: '',
 };
 
 export const gallerySlice = createSlice({
   name: 'gallery',
   initialState: initialGalleryState,
   reducers: {
-    imageRangeEndSelected: () => {
-      // TODO
-    },
-    // imageRangeEndSelected: (state, action: PayloadAction<string>) => {
-    // const rangeEndImageName = action.payload;
-    // const lastSelectedImage = state.selection[state.selection.length - 1];
-    // const filteredImages = selectFilteredImagesLocal(state);
-    // const lastClickedIndex = filteredImages.findIndex(
-    //   (n) => n.image_name === lastSelectedImage
-    // );
-    // const currentClickedIndex = filteredImages.findIndex(
-    //   (n) => n.image_name === rangeEndImageName
-    // );
-    // if (lastClickedIndex > -1 && currentClickedIndex > -1) {
-    //   // We have a valid range!
-    //   const start = Math.min(lastClickedIndex, currentClickedIndex);
-    //   const end = Math.max(lastClickedIndex, currentClickedIndex);
-    //   const imagesToSelect = filteredImages
-    //     .slice(start, end + 1)
-    //     .map((i) => i.image_name);
-    //   state.selection = uniq(state.selection.concat(imagesToSelect));
-    // }
-    // },
-    imageSelectionToggled: () => {
-      // TODO
-    },
-    // imageSelectionToggled: (state, action: PayloadAction<string>) => {
-    // TODO: multiselect
-    // if (
-    //   state.selection.includes(action.payload) &&
-    //   state.selection.length > 1
-    // ) {
-    //   state.selection = state.selection.filter(
-    //     (imageName) => imageName !== action.payload
-    //   );
-    // } else {
-    //   state.selection = uniq(state.selection.concat(action.payload));
-    // }
-    imageSelected: (state, action: PayloadAction<string | null>) => {
+    imageSelected: (state, action: PayloadAction<ImageDTO | null>) => {
       state.selection = action.payload ? [action.payload] : [];
     },
+    selectionChanged: (state, action: PayloadAction<ImageDTO[]>) => {
+      state.selection = action.payload;
+    },
     shouldAutoSwitchChanged: (state, action: PayloadAction<boolean>) => {
       state.shouldAutoSwitch = action.payload;
     },
@@ -74,53 +40,28 @@ export const gallerySlice = createSlice({
       state.selectedBoardId = action.payload;
       state.galleryView = 'images';
     },
-    isBatchEnabledChanged: (state, action: PayloadAction<boolean>) => {
-      state.isBatchEnabled = action.payload;
-    },
-    imagesAddedToBatch: (state, action: PayloadAction<string[]>) => {
-      state.batchImageNames = uniq(
-        state.batchImageNames.concat(action.payload)
-      );
-    },
-    imagesRemovedFromBatch: (state, action: PayloadAction<string[]>) => {
-      state.batchImageNames = state.batchImageNames.filter(
-        (imageName) => !action.payload.includes(imageName)
-      );
-
-      const newSelection = state.selection.filter(
-        (imageName) => !action.payload.includes(imageName)
-      );
-
-      if (newSelection.length) {
-        state.selection = newSelection;
-        return;
-      }
-
-      state.selection = [state.batchImageNames[0]] ?? [];
-    },
-    batchReset: (state) => {
-      state.batchImageNames = [];
-      state.selection = [];
-    },
-    autoAddBoardIdChanged: (
-      state,
-      action: PayloadAction<string | undefined>
-    ) => {
+    autoAddBoardIdChanged: (state, action: PayloadAction<BoardId>) => {
       state.autoAddBoardId = action.payload;
     },
     galleryViewChanged: (state, action: PayloadAction<GalleryView>) => {
       state.galleryView = action.payload;
     },
+    shouldShowDeleteButtonChanged: (state, action: PayloadAction<boolean>) => {
+      state.shouldShowDeleteButton = action.payload;
+    },
+    boardSearchTextChanged: (state, action: PayloadAction<string>) => {
+      state.boardSearchText = action.payload;
+    },
   },
   extraReducers: (builder) => {
     builder.addMatcher(isAnyBoardDeleted, (state, action) => {
       const deletedBoardId = action.meta.arg.originalArgs;
       if (deletedBoardId === state.selectedBoardId) {
-        state.selectedBoardId = undefined;
+        state.selectedBoardId = 'none';
         state.galleryView = 'images';
       }
       if (deletedBoardId === state.autoAddBoardId) {
-        state.autoAddBoardId = undefined;
+        state.autoAddBoardId = 'none';
       }
     });
     builder.addMatcher(
@@ -132,7 +73,7 @@ export const gallerySlice = createSlice({
         }
 
         if (!boards.map((b) => b.board_id).includes(state.autoAddBoardId)) {
-          state.autoAddBoardId = undefined;
+          state.autoAddBoardId = 'none';
         }
       }
     );
@@ -140,23 +81,21 @@ export const gallerySlice = createSlice({
 });
 
 export const {
-  imageRangeEndSelected,
-  imageSelectionToggled,
   imageSelected,
   shouldAutoSwitchChanged,
   autoAssignBoardOnClickChanged,
   setGalleryImageMinimumWidth,
   boardIdSelected,
-  isBatchEnabledChanged,
-  imagesAddedToBatch,
-  imagesRemovedFromBatch,
   autoAddBoardIdChanged,
   galleryViewChanged,
+  selectionChanged,
+  shouldShowDeleteButtonChanged,
+  boardSearchTextChanged,
 } = gallerySlice.actions;
 
 export default gallerySlice.reducer;
 
 const isAnyBoardDeleted = isAnyOf(
-  boardsApi.endpoints.deleteBoard.matchFulfilled,
-  boardsApi.endpoints.deleteBoardAndImages.matchFulfilled
+  imagesApi.endpoints.deleteBoard.matchFulfilled,
+  imagesApi.endpoints.deleteBoardAndImages.matchFulfilled
 );
diff --git a/invokeai/frontend/web/src/features/gallery/store/types.ts b/invokeai/frontend/web/src/features/gallery/store/types.ts
index 298b792362..6860f6ea7b 100644
--- a/invokeai/frontend/web/src/features/gallery/store/types.ts
+++ b/invokeai/frontend/web/src/features/gallery/store/types.ts
@@ -1,4 +1,4 @@
-import { ImageCategory } from 'services/api/types';
+import { ImageCategory, ImageDTO } from 'services/api/types';
 
 export const IMAGE_CATEGORIES: ImageCategory[] = ['general'];
 export const ASSETS_CATEGORIES: ImageCategory[] = [
@@ -11,17 +11,16 @@ export const INITIAL_IMAGE_LIMIT = 100;
 export const IMAGE_LIMIT = 20;
 
 export type GalleryView = 'images' | 'assets';
-// export type BoardId = 'no_board' | (string & Record<never, never>);
-export type BoardId = string | undefined;
+export type BoardId = 'none' | (string & Record<never, never>);
 
 export type GalleryState = {
-  selection: string[];
+  selection: ImageDTO[];
   shouldAutoSwitch: boolean;
-  autoAddBoardId: string | undefined;
   autoAssignBoardOnClick: boolean;
+  autoAddBoardId: BoardId;
   galleryImageMinimumWidth: number;
   selectedBoardId: BoardId;
   galleryView: GalleryView;
-  batchImageNames: string[];
-  isBatchEnabled: boolean;
+  shouldShowDeleteButton: boolean;
+  boardSearchText: string;
 };
diff --git a/invokeai/frontend/web/src/features/imageDeletion/store/imageDeletionSlice.ts b/invokeai/frontend/web/src/features/imageDeletion/store/imageDeletionSlice.ts
deleted file mode 100644
index 0bfd9a537d..0000000000
--- a/invokeai/frontend/web/src/features/imageDeletion/store/imageDeletionSlice.ts
+++ /dev/null
@@ -1,37 +0,0 @@
-import { PayloadAction, createSlice } from '@reduxjs/toolkit';
-import { ImageDTO } from 'services/api/types';
-
-type DeleteImageState = {
-  imageToDelete: ImageDTO | null;
-  isModalOpen: boolean;
-};
-
-export const initialDeleteImageState: DeleteImageState = {
-  imageToDelete: null,
-  isModalOpen: false,
-};
-
-const imageDeletion = createSlice({
-  name: 'imageDeletion',
-  initialState: initialDeleteImageState,
-  reducers: {
-    isModalOpenChanged: (state, action: PayloadAction<boolean>) => {
-      state.isModalOpen = action.payload;
-    },
-    imageToDeleteSelected: (state, action: PayloadAction<ImageDTO>) => {
-      state.imageToDelete = action.payload;
-    },
-    imageToDeleteCleared: (state) => {
-      state.imageToDelete = null;
-      state.isModalOpen = false;
-    },
-  },
-});
-
-export const {
-  isModalOpenChanged,
-  imageToDeleteSelected,
-  imageToDeleteCleared,
-} = imageDeletion.actions;
-
-export default imageDeletion.reducer;
diff --git a/invokeai/frontend/web/src/features/imageDeletion/store/types.ts b/invokeai/frontend/web/src/features/imageDeletion/store/types.ts
deleted file mode 100644
index b3f4dc9c8d..0000000000
--- a/invokeai/frontend/web/src/features/imageDeletion/store/types.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-export type ImageUsage = {
-  isInitialImage: boolean;
-  isCanvasImage: boolean;
-  isNodesImage: boolean;
-  isControlNetImage: boolean;
-};
diff --git a/invokeai/frontend/web/src/features/lora/store/loraSlice.ts b/invokeai/frontend/web/src/features/lora/store/loraSlice.ts
index f0067a85a2..10a1671933 100644
--- a/invokeai/frontend/web/src/features/lora/store/loraSlice.ts
+++ b/invokeai/frontend/web/src/features/lora/store/loraSlice.ts
@@ -39,11 +39,19 @@ export const loraSlice = createSlice({
       action: PayloadAction<{ id: string; weight: number }>
     ) => {
       const { id, weight } = action.payload;
-      state.loras[id].weight = weight;
+      const lora = state.loras[id];
+      if (!lora) {
+        return;
+      }
+      lora.weight = weight;
     },
     loraWeightReset: (state, action: PayloadAction<string>) => {
       const id = action.payload;
-      state.loras[id].weight = defaultLoRAConfig.weight;
+      const lora = state.loras[id];
+      if (!lora) {
+        return;
+      }
+      lora.weight = defaultLoRAConfig.weight;
     },
   },
 });
diff --git a/invokeai/frontend/web/src/features/nodes/components/search/NodeSearch.tsx b/invokeai/frontend/web/src/features/nodes/components/search/NodeSearch.tsx
index 669110fa54..d4a4f8d31f 100644
--- a/invokeai/frontend/web/src/features/nodes/components/search/NodeSearch.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/search/NodeSearch.tsx
@@ -170,15 +170,17 @@ const NodeSearch = () => {
     // }
 
     if (key === 'Enter') {
-      let selectedNodeType: AnyInvocationType;
+      let selectedNodeType: AnyInvocationType | undefined;
 
       if (searchText.length > 0) {
-        selectedNodeType = filteredNodes[focusedIndex].item.type;
+        selectedNodeType = filteredNodes[focusedIndex]?.item.type;
       } else {
-        selectedNodeType = nodes[focusedIndex].type;
+        selectedNodeType = nodes[focusedIndex]?.type;
       }
 
-      addNode(selectedNodeType);
+      if (selectedNodeType) {
+        addNode(selectedNodeType);
+      }
       setShowNodeList(false);
     }
 
diff --git a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
index 436396fb38..2e41081e95 100644
--- a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
@@ -79,9 +79,12 @@ const nodesSlice = createSlice({
     ) => {
       const { nodeId, fieldName, value } = action.payload;
       const nodeIndex = state.nodes.findIndex((n) => n.id === nodeId);
-
+      const input = state.nodes?.[nodeIndex]?.data?.inputs[fieldName];
+      if (!input) {
+        return;
+      }
       if (nodeIndex > -1) {
-        state.nodes[nodeIndex].data.inputs[fieldName].value = value;
+        input.value = value;
       }
     },
     imageCollectionFieldValueChanged: (
@@ -99,16 +102,19 @@ const nodesSlice = createSlice({
         return;
       }
 
-      const currentValue = cloneDeep(
-        state.nodes[nodeIndex].data.inputs[fieldName].value
-      );
-
-      if (!currentValue) {
-        state.nodes[nodeIndex].data.inputs[fieldName].value = value;
+      const input = state.nodes?.[nodeIndex]?.data?.inputs[fieldName];
+      if (!input) {
         return;
       }
 
-      state.nodes[nodeIndex].data.inputs[fieldName].value = uniqBy(
+      const currentValue = cloneDeep(input.value);
+
+      if (!currentValue) {
+        input.value = value;
+        return;
+      }
+
+      input.value = uniqBy(
         (currentValue as ImageField[]).concat(value),
         'image_name'
       );
diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
index 83692533f7..de7d798c69 100644
--- a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
@@ -29,6 +29,8 @@ import {
   VaeInputFieldTemplate,
   VaeModelInputFieldTemplate,
 } from '../types/types';
+import { logger } from 'app/logging/logger';
+import { parseify } from 'common/util/serialize';
 
 export type BaseFieldProperties = 'name' | 'title' | 'description';
 
@@ -50,7 +52,13 @@ export type BuildInputFieldArg = {
  */
 export const refObjectToFieldType = (
   refObject: OpenAPIV3.ReferenceObject
-): keyof typeof FIELD_TYPE_MAP => refObject.$ref.split('/').slice(-1)[0];
+): keyof typeof FIELD_TYPE_MAP => {
+  const name = refObject.$ref.split('/').slice(-1)[0];
+  if (!name) {
+    return 'UNKNOWN FIELD TYPE';
+  }
+  return name;
+};
 
 const buildIntegerInputFieldTemplate = ({
   schemaObject,
@@ -428,7 +436,7 @@ export const getFieldType = (
   let rawFieldType = '';
 
   if (typeHints && name in typeHints) {
-    rawFieldType = typeHints[name];
+    rawFieldType = typeHints[name] ?? 'UNKNOWN FIELD TYPE';
   } else if (!schemaObject.type) {
     // if schemaObject has no type, then it should have one of allOf, anyOf, oneOf
     if (schemaObject.allOf) {
@@ -568,10 +576,23 @@ export const buildOutputFieldTemplates = (
   // extract output schema name from ref
   const outputSchemaName = refObject.$ref.split('/').slice(-1)[0];
 
+  if (!outputSchemaName) {
+    logger('nodes').error(
+      { refObject: parseify(refObject) },
+      'No output schema name found in ref object'
+    );
+    throw 'No output schema name found in ref object';
+  }
+
   // get the output schema itself
   // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
   const outputSchema = openAPI.components!.schemas![outputSchemaName];
 
+  if (!outputSchema) {
+    logger('nodes').error({ outputSchemaName }, 'Output schema not found');
+    throw 'Output schema not found';
+  }
+
   if (isSchemaObject(outputSchema)) {
     const outputFields = reduce(
       outputSchema.properties as OpenAPIV3.SchemaObject,
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx
index 418ed9278f..c4d2d35f8f 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse.tsx
@@ -16,7 +16,10 @@ import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
 import { map } from 'lodash-es';
 import { Fragment, memo, useCallback } from 'react';
 import { FaPlus } from 'react-icons/fa';
-import { useGetControlNetModelsQuery } from 'services/api/endpoints/models';
+import {
+  controlNetModelsAdapter,
+  useGetControlNetModelsQuery,
+} from 'services/api/endpoints/models';
 import { v4 as uuidv4 } from 'uuid';
 
 const selector = createSelector(
@@ -42,7 +45,9 @@ const ParamControlNetCollapse = () => {
   const dispatch = useAppDispatch();
   const { firstModel } = useGetControlNetModelsQuery(undefined, {
     selectFromResult: (result) => {
-      const firstModel = result.data?.entities[result.data?.ids[0]];
+      const firstModel = result.data
+        ? controlNetModelsAdapter.getSelectors().selectAll(result.data)[0]
+        : undefined;
       return {
         firstModel,
       };
@@ -95,7 +100,7 @@ const ParamControlNetCollapse = () => {
         {controlNetsArray.map((c, i) => (
           <Fragment key={c.controlNetId}>
             {i > 0 && <Divider />}
-            <ControlNet controlNetId={c.controlNetId} />
+            <ControlNet controlNet={c} />
           </Fragment>
         ))}
       </Flex>
diff --git a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
index cb2361524d..907107e95e 100644
--- a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
+++ b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
@@ -12,7 +12,7 @@ import {
 } from 'features/sdxl/store/sdxlSlice';
 import { useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
-import { UnsafeImageMetadata } from 'services/api/endpoints/images';
+import { UnsafeImageMetadata } from 'services/api/types';
 import { ImageDTO } from 'services/api/types';
 import { initialImageSelected, modelSelected } from '../store/actions';
 import {
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddCheckpoint.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddCheckpoint.tsx
index fd5106b289..5f82483cd3 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddCheckpoint.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddCheckpoint.tsx
@@ -28,9 +28,7 @@ export default function AdvancedAddCheckpoint(
 
   const advancedAddCheckpointForm = useForm<CheckpointModelConfig>({
     initialValues: {
-      model_name: model_path
-        ? model_path.split('\\').splice(-1)[0].split('.')[0]
-        : '',
+      model_name: model_path?.split('\\').splice(-1)[0]?.split('.')[0] ?? '',
       base_model: 'sd-1',
       model_type: 'main',
       path: model_path ? model_path : '',
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddDiffusers.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddDiffusers.tsx
index 376631bd1f..ec2d3f037a 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddDiffusers.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/AddModelsPanel/AdvancedAddDiffusers.tsx
@@ -25,7 +25,7 @@ export default function AdvancedAddDiffusers(props: AdvancedAddDiffusersProps) {
 
   const advancedAddDiffusersForm = useForm<DiffusersModelConfig>({
     initialValues: {
-      model_name: model_path ? model_path.split('\\').splice(-1)[0] : '',
+      model_name: model_path?.split('\\').splice(-1)[0] ?? '',
       base_model: 'sd-1',
       model_type: 'main',
       path: model_path ? model_path : '',
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/MergeModelsPanel.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/MergeModelsPanel.tsx
index 4ad8fbaba6..6837a2e853 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/MergeModelsPanel.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/MergeModelsPanel.tsx
@@ -59,10 +59,10 @@ export default function MergeModelsPanel() {
   }, [sd1DiffusersModels, sd2DiffusersModels]);
 
   const [modelOne, setModelOne] = useState<string | null>(
-    Object.keys(modelsMap[baseModel as keyof typeof modelsMap])[0]
+    Object.keys(modelsMap[baseModel as keyof typeof modelsMap])?.[0] ?? null
   );
   const [modelTwo, setModelTwo] = useState<string | null>(
-    Object.keys(modelsMap[baseModel as keyof typeof modelsMap])[1]
+    Object.keys(modelsMap[baseModel as keyof typeof modelsMap])?.[1] ?? null
   );
 
   const [modelThree, setModelThree] = useState<string | null>(null);
@@ -106,8 +106,9 @@ export default function MergeModelsPanel() {
     let modelsToMerge: (string | null)[] = [modelOne, modelTwo, modelThree];
     modelsToMerge = modelsToMerge.filter((model) => model !== null);
     modelsToMerge.forEach((model) => {
-      if (model) {
-        models_names.push(model?.split('/')[2]);
+      const n = model?.split('/')?.[2];
+      if (n) {
+        models_names.push(n);
       }
     });
 
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelConvert.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelConvert.tsx
index 1aec7d5c05..045745e206 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelConvert.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/ModelManagerPanel/ModelConvert.tsx
@@ -47,13 +47,11 @@ export default function ModelConvert(props: ModelConvertProps) {
   };
 
   const modelConvertHandler = () => {
-    const responseBody = {
+    const queryArg = {
       base_model: model.base_model,
       model_name: model.model_name,
-      params: {
-        convert_dest_directory:
-          saveLocation === 'Custom' ? customSaveLocation : undefined,
-      },
+      convert_dest_directory:
+        saveLocation === 'Custom' ? customSaveLocation : undefined,
     };
 
     if (saveLocation === 'Custom' && customSaveLocation === '') {
@@ -74,14 +72,14 @@ export default function ModelConvert(props: ModelConvertProps) {
           title: `${t('modelManager.convertingModelBegin')}: ${
             model.model_name
           }`,
-          status: 'success',
+          status: 'info',
         })
       )
     );
 
-    convertModel(responseBody)
+    convertModel(queryArg)
       .unwrap()
-      .then((_) => {
+      .then(() => {
         dispatch(
           addToast(
             makeToast({
@@ -91,7 +89,7 @@ export default function ModelConvert(props: ModelConvertProps) {
           )
         );
       })
-      .catch((_) => {
+      .catch(() => {
         dispatch(
           addToast(
             makeToast({
diff --git a/invokeai/frontend/web/src/features/ui/store/uiSelectors.ts b/invokeai/frontend/web/src/features/ui/store/uiSelectors.ts
index fa152e9ce5..5427fa9d3b 100644
--- a/invokeai/frontend/web/src/features/ui/store/uiSelectors.ts
+++ b/invokeai/frontend/web/src/features/ui/store/uiSelectors.ts
@@ -2,12 +2,12 @@ import { createSelector } from '@reduxjs/toolkit';
 import { RootState } from 'app/store/store';
 import { isEqual } from 'lodash-es';
 
-import { tabMap } from './tabMap';
+import { InvokeTabName, tabMap } from './tabMap';
 import { UIState } from './uiTypes';
 
 export const activeTabNameSelector = createSelector(
   (state: RootState) => state.ui,
-  (ui: UIState) => tabMap[ui.activeTab],
+  (ui: UIState) => tabMap[ui.activeTab] as InvokeTabName,
   {
     memoizeOptions: {
       equalityCheck: isEqual,
diff --git a/invokeai/frontend/web/src/services/api/endpoints/boardImages.ts b/invokeai/frontend/web/src/services/api/endpoints/boardImages.ts
deleted file mode 100644
index 2dc292321e..0000000000
--- a/invokeai/frontend/web/src/services/api/endpoints/boardImages.ts
+++ /dev/null
@@ -1,36 +0,0 @@
-import { api } from '..';
-
-export const boardImagesApi = api.injectEndpoints({
-  endpoints: (build) => ({
-    /**
-     * Board Images Queries
-     */
-    // listBoardImages: build.query<
-    //   OffsetPaginatedResults_ImageDTO_,
-    //   ListBoardImagesArg
-    // >({
-    //   query: ({ board_id, offset, limit }) => ({
-    //     url: `board_images/${board_id}`,
-    //     method: 'GET',
-    //   }),
-    //   providesTags: (result, error, arg) => {
-    //     // any list of boardimages
-    //     const tags: ApiFullTagDescription[] = [
-    //       { type: 'BoardImage', id: `${arg.board_id}_${LIST_TAG}` },
-    //     ];
-    //     if (result) {
-    //       // and individual tags for each boardimage
-    //       tags.push(
-    //         ...result.items.map(({ board_id, image_name }) => ({
-    //           type: 'BoardImage' as const,
-    //           id: `${board_id}_${image_name}`,
-    //         }))
-    //       );
-    //     }
-    //     return tags;
-    //   },
-    // }),
-  }),
-});
-
-// export const { useListBoardImagesQuery } = boardImagesApi;
diff --git a/invokeai/frontend/web/src/services/api/endpoints/boards.ts b/invokeai/frontend/web/src/services/api/endpoints/boards.ts
index 73b894b492..9d9fa11da8 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/boards.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/boards.ts
@@ -1,28 +1,16 @@
-import { Update } from '@reduxjs/toolkit';
 import {
   ASSETS_CATEGORIES,
   IMAGE_CATEGORIES,
 } from 'features/gallery/store/types';
 import {
   BoardDTO,
-  ImageDTO,
+  ListBoardsArg,
   OffsetPaginatedResults_BoardDTO_,
+  OffsetPaginatedResults_ImageDTO_,
+  UpdateBoardArg,
 } from 'services/api/types';
 import { ApiFullTagDescription, LIST_TAG, api } from '..';
-import { paths } from '../schema';
-import { getListImagesUrl, imagesAdapter, imagesApi } from './images';
-
-type ListBoardsArg = NonNullable<
-  paths['/api/v1/boards/']['get']['parameters']['query']
->;
-
-type UpdateBoardArg =
-  paths['/api/v1/boards/{board_id}']['patch']['parameters']['path'] & {
-    changes: paths['/api/v1/boards/{board_id}']['patch']['requestBody']['content']['application/json'];
-  };
-
-type DeleteBoardResult =
-  paths['/api/v1/boards/{board_id}']['delete']['responses']['200']['content']['application/json'];
+import { getListImagesUrl } from '../util';
 
 export const boardsApi = api.injectEndpoints({
   endpoints: (build) => ({
@@ -82,6 +70,44 @@ export const boardsApi = api.injectEndpoints({
       keepUnusedDataFor: 0,
     }),
 
+    getBoardImagesTotal: build.query<number, string | undefined>({
+      query: (board_id) => ({
+        url: getListImagesUrl({
+          board_id: board_id ?? 'none',
+          categories: IMAGE_CATEGORIES,
+          is_intermediate: false,
+          limit: 0,
+          offset: 0,
+        }),
+        method: 'GET',
+      }),
+      providesTags: (result, error, arg) => [
+        { type: 'BoardImagesTotal', id: arg ?? 'none' },
+      ],
+      transformResponse: (response: OffsetPaginatedResults_ImageDTO_) => {
+        return response.total;
+      },
+    }),
+
+    getBoardAssetsTotal: build.query<number, string | undefined>({
+      query: (board_id) => ({
+        url: getListImagesUrl({
+          board_id: board_id ?? 'none',
+          categories: ASSETS_CATEGORIES,
+          is_intermediate: false,
+          limit: 0,
+          offset: 0,
+        }),
+        method: 'GET',
+      }),
+      providesTags: (result, error, arg) => [
+        { type: 'BoardAssetsTotal', id: arg ?? 'none' },
+      ],
+      transformResponse: (response: OffsetPaginatedResults_ImageDTO_) => {
+        return response.total;
+      },
+    }),
+
     /**
      * Boards Mutations
      */
@@ -105,176 +131,15 @@ export const boardsApi = api.injectEndpoints({
         { type: 'Board', id: arg.board_id },
       ],
     }),
-
-    deleteBoard: build.mutation<DeleteBoardResult, string>({
-      query: (board_id) => ({ url: `boards/${board_id}`, method: 'DELETE' }),
-      invalidatesTags: (result, error, board_id) => [
-        { type: 'Board', id: LIST_TAG },
-        // invalidate the 'No Board' cache
-        {
-          type: 'ImageList',
-          id: getListImagesUrl({
-            board_id: 'none',
-            categories: IMAGE_CATEGORIES,
-          }),
-        },
-        {
-          type: 'ImageList',
-          id: getListImagesUrl({
-            board_id: 'none',
-            categories: ASSETS_CATEGORIES,
-          }),
-        },
-        { type: 'BoardImagesTotal', id: 'none' },
-        { type: 'BoardAssetsTotal', id: 'none' },
-      ],
-      async onQueryStarted(board_id, { dispatch, queryFulfilled, getState }) {
-        /**
-         * Cache changes for deleteBoard:
-         * - Update every image in the 'getImageDTO' cache that has the board_id
-         * - Update every image in the 'All Images' cache that has the board_id
-         * - Update every image in the 'All Assets' cache that has the board_id
-         * - Invalidate the 'No Board' cache:
-         *   Ideally we'd be able to insert all deleted images into the cache, but we don't
-         *   have access to the deleted images DTOs - only the names, and a network request
-         *   for all of a board's DTOs could be very large. Instead, we invalidate the 'No Board'
-         *   cache.
-         */
-
-        try {
-          const { data } = await queryFulfilled;
-          const { deleted_board_images } = data;
-
-          // update getImageDTO caches
-          deleted_board_images.forEach((image_id) => {
-            dispatch(
-              imagesApi.util.updateQueryData(
-                'getImageDTO',
-                image_id,
-                (draft) => {
-                  draft.board_id = undefined;
-                }
-              )
-            );
-          });
-
-          // update 'All Images' & 'All Assets' caches
-          const queryArgsToUpdate = [
-            {
-              categories: IMAGE_CATEGORIES,
-            },
-            {
-              categories: ASSETS_CATEGORIES,
-            },
-          ];
-
-          const updates: Update<ImageDTO>[] = deleted_board_images.map(
-            (image_name) => ({
-              id: image_name,
-              changes: { board_id: undefined },
-            })
-          );
-
-          queryArgsToUpdate.forEach((queryArgs) => {
-            dispatch(
-              imagesApi.util.updateQueryData(
-                'listImages',
-                queryArgs,
-                (draft) => {
-                  const oldTotal = draft.total;
-                  const newState = imagesAdapter.updateMany(draft, updates);
-                  const delta = newState.total - oldTotal;
-                  draft.total = draft.total + delta;
-                }
-              )
-            );
-          });
-        } catch {
-          //no-op
-        }
-      },
-    }),
-
-    deleteBoardAndImages: build.mutation<DeleteBoardResult, string>({
-      query: (board_id) => ({
-        url: `boards/${board_id}`,
-        method: 'DELETE',
-        params: { include_images: true },
-      }),
-      invalidatesTags: (result, error, board_id) => [
-        { type: 'Board', id: LIST_TAG },
-        {
-          type: 'ImageList',
-          id: getListImagesUrl({
-            board_id: 'none',
-            categories: IMAGE_CATEGORIES,
-          }),
-        },
-        {
-          type: 'ImageList',
-          id: getListImagesUrl({
-            board_id: 'none',
-            categories: ASSETS_CATEGORIES,
-          }),
-        },
-        { type: 'BoardImagesTotal', id: 'none' },
-        { type: 'BoardAssetsTotal', id: 'none' },
-      ],
-      async onQueryStarted(board_id, { dispatch, queryFulfilled, getState }) {
-        /**
-         * Cache changes for deleteBoardAndImages:
-         * - ~~Remove every image in the 'getImageDTO' cache that has the board_id~~
-         *   This isn't actually possible, you cannot remove cache entries with RTK Query.
-         *   Instead, we rely on the UI to remove all components that use the deleted images.
-         * - Remove every image in the 'All Images' cache that has the board_id
-         * - Remove every image in the 'All Assets' cache that has the board_id
-         */
-
-        try {
-          const { data } = await queryFulfilled;
-          const { deleted_images } = data;
-
-          // update 'All Images' & 'All Assets' caches
-          const queryArgsToUpdate = [
-            {
-              categories: IMAGE_CATEGORIES,
-            },
-            {
-              categories: ASSETS_CATEGORIES,
-            },
-          ];
-
-          queryArgsToUpdate.forEach((queryArgs) => {
-            dispatch(
-              imagesApi.util.updateQueryData(
-                'listImages',
-                queryArgs,
-                (draft) => {
-                  const oldTotal = draft.total;
-                  const newState = imagesAdapter.removeMany(
-                    draft,
-                    deleted_images
-                  );
-                  const delta = newState.total - oldTotal;
-                  draft.total = draft.total + delta;
-                }
-              )
-            );
-          });
-        } catch {
-          //no-op
-        }
-      },
-    }),
   }),
 });
 
 export const {
   useListBoardsQuery,
   useListAllBoardsQuery,
+  useGetBoardImagesTotalQuery,
+  useGetBoardAssetsTotalQuery,
   useCreateBoardMutation,
   useUpdateBoardMutation,
-  useDeleteBoardMutation,
-  useDeleteBoardAndImagesMutation,
   useListAllImageNamesForBoardQuery,
 } = boardsApi;
diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index e8740a418b..e093c1c33a 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -1,93 +1,37 @@
-import { EntityState, createEntityAdapter } from '@reduxjs/toolkit';
+import { EntityState, Update } from '@reduxjs/toolkit';
 import { PatchCollection } from '@reduxjs/toolkit/dist/query/core/buildThunks';
-import { dateComparator } from 'common/util/dateComparator';
 import {
   ASSETS_CATEGORIES,
   BoardId,
   IMAGE_CATEGORIES,
 } from 'features/gallery/store/types';
-import queryString from 'query-string';
-import { ApiFullTagDescription, api } from '..';
-import { components, paths } from '../schema';
+import { keyBy } from 'lodash';
+import { ApiFullTagDescription, LIST_TAG, api } from '..';
+import { components } from '../schema';
 import {
+  DeleteBoardResult,
   ImageCategory,
   ImageDTO,
+  ListImagesArgs,
   OffsetPaginatedResults_ImageDTO_,
   PostUploadAction,
+  UnsafeImageMetadata,
 } from '../types';
-
-const getIsImageInDateRange = (
-  data: ImageCache | undefined,
-  imageDTO: ImageDTO
-) => {
-  if (!data) {
-    return false;
-  }
-  const cacheImageDTOS = imagesSelectors.selectAll(data);
-
-  if (cacheImageDTOS.length > 1) {
-    // Images are sorted by `created_at` DESC
-    // check if the image is newer than the oldest image in the cache
-    const createdDate = new Date(imageDTO.created_at);
-    const oldestDate = new Date(
-      cacheImageDTOS[cacheImageDTOS.length - 1].created_at
-    );
-    return createdDate >= oldestDate;
-  } else if ([0, 1].includes(cacheImageDTOS.length)) {
-    // if there are only 1 or 0 images in the cache, we consider the image to be in the date range
-    return true;
-  }
-  return false;
-};
-
-const getCategories = (imageDTO: ImageDTO) => {
-  if (IMAGE_CATEGORIES.includes(imageDTO.image_category)) {
-    return IMAGE_CATEGORIES;
-  }
-  return ASSETS_CATEGORIES;
-};
-
-export type ListImagesArgs = NonNullable<
-  paths['/api/v1/images/']['get']['parameters']['query']
->;
-
-/**
- * This is an unsafe type; the object inside is not guaranteed to be valid.
- */
-export type UnsafeImageMetadata = {
-  metadata: components['schemas']['CoreMetadata'];
-  graph: NonNullable<components['schemas']['Graph']>;
-};
-
-export type ImageCache = EntityState<ImageDTO> & { total: number };
-
-// The adapter is not actually the data store - it just provides helper functions to interact
-// with some other store of data. We will use the RTK Query cache as that store.
-export const imagesAdapter = createEntityAdapter<ImageDTO>({
-  selectId: (image) => image.image_name,
-  sortComparer: (a, b) => dateComparator(b.updated_at, a.updated_at),
-});
-
-// We want to also store the images total in the cache. When we initialize the cache state,
-// we will provide this type arg so the adapter knows we want the total.
-export type AdditionalImagesAdapterState = { total: number };
-
-// Create selectors for the adapter.
-export const imagesSelectors = imagesAdapter.getSelectors();
-
-// Helper to create the url for the listImages endpoint. Also we use it to create the cache key.
-export const getListImagesUrl = (queryArgs: ListImagesArgs) =>
-  `images/?${queryString.stringify(queryArgs, { arrayFormat: 'none' })}`;
+import {
+  getCategories,
+  getIsImageInDateRange,
+  getListImagesUrl,
+  imagesAdapter,
+  imagesSelectors,
+} from '../util';
+import { boardsApi } from './boards';
 
 export const imagesApi = api.injectEndpoints({
   endpoints: (build) => ({
     /**
      * Image Queries
      */
-    listImages: build.query<
-      EntityState<ImageDTO> & { total: number },
-      ListImagesArgs
-    >({
+    listImages: build.query<EntityState<ImageDTO>, ListImagesArgs>({
       query: (queryArgs) => ({
         // Use the helper to create the URL.
         url: getListImagesUrl(queryArgs),
@@ -110,23 +54,17 @@ export const imagesApi = api.injectEndpoints({
         return cacheKey;
       },
       transformResponse(response: OffsetPaginatedResults_ImageDTO_) {
-        const { total, items: images } = response;
-        // Use the adapter to convert the response to the right shape, and adding the new total.
+        const { items: images } = response;
+        // Use the adapter to convert the response to the right shape.
         // The trick is to just provide an empty state and add the images array to it. This returns
         // a properly shaped EntityState.
-        return imagesAdapter.addMany(
-          imagesAdapter.getInitialState<AdditionalImagesAdapterState>({
-            total,
-          }),
-          images
-        );
+        return imagesAdapter.addMany(imagesAdapter.getInitialState(), images);
       },
       merge: (cache, response) => {
         // Here we actually update the cache. `response` here is the output of `transformResponse`
         // above. In a similar vein to `transformResponse`, we can use the imagesAdapter to get
-        // things in the right shape. Also update the total image count.
+        // things in the right shape.
         imagesAdapter.addMany(cache, imagesSelectors.selectAll(response));
-        cache.total = response.total;
       },
       forceRefetch({ currentArg, previousArg }) {
         // Refetch when the offset changes (which means we are on a new page).
@@ -161,69 +99,26 @@ export const imagesApi = api.injectEndpoints({
       },
     }),
     getImageDTO: build.query<ImageDTO, string>({
-      query: (image_name) => ({ url: `images/${image_name}` }),
-      providesTags: (result, error, arg) => {
-        const tags: ApiFullTagDescription[] = [{ type: 'Image', id: arg }];
-        if (result?.board_id) {
-          tags.push({ type: 'Board', id: result.board_id });
-        }
-        return tags;
-      },
+      query: (image_name) => ({ url: `images/i/${image_name}` }),
+      providesTags: (result, error, image_name) => [
+        { type: 'Image', id: image_name },
+      ],
       keepUnusedDataFor: 86400, // 24 hours
     }),
     getImageMetadata: build.query<UnsafeImageMetadata, string>({
-      query: (image_name) => ({ url: `images/${image_name}/metadata` }),
-      providesTags: (result, error, arg) => {
-        const tags: ApiFullTagDescription[] = [
-          { type: 'ImageMetadata', id: arg },
-        ];
-        return tags;
-      },
+      query: (image_name) => ({ url: `images/i/${image_name}/metadata` }),
+      providesTags: (result, error, image_name) => [
+        { type: 'ImageMetadata', id: image_name },
+      ],
       keepUnusedDataFor: 86400, // 24 hours
     }),
-    getBoardImagesTotal: build.query<number, string | undefined>({
-      query: (board_id) => ({
-        url: getListImagesUrl({
-          board_id: board_id ?? 'none',
-          categories: IMAGE_CATEGORIES,
-          is_intermediate: false,
-          limit: 0,
-          offset: 0,
-        }),
-        method: 'GET',
-      }),
-      providesTags: (result, error, arg) => [
-        { type: 'BoardImagesTotal', id: arg ?? 'none' },
-      ],
-      transformResponse: (response: OffsetPaginatedResults_ImageDTO_) => {
-        return response.total;
-      },
-    }),
-    getBoardAssetsTotal: build.query<number, string | undefined>({
-      query: (board_id) => ({
-        url: getListImagesUrl({
-          board_id: board_id ?? 'none',
-          categories: ASSETS_CATEGORIES,
-          is_intermediate: false,
-          limit: 0,
-          offset: 0,
-        }),
-        method: 'GET',
-      }),
-      providesTags: (result, error, arg) => [
-        { type: 'BoardAssetsTotal', id: arg ?? 'none' },
-      ],
-      transformResponse: (response: OffsetPaginatedResults_ImageDTO_) => {
-        return response.total;
-      },
-    }),
     clearIntermediates: build.mutation<number, void>({
       query: () => ({ url: `images/clear-intermediates`, method: 'POST' }),
       invalidatesTags: ['IntermediatesCount'],
     }),
     deleteImage: build.mutation<void, ImageDTO>({
       query: ({ image_name }) => ({
-        url: `images/${image_name}`,
+        url: `images/i/${image_name}`,
         method: 'DELETE',
       }),
       invalidatesTags: (result, error, { board_id }) => [
@@ -240,33 +135,77 @@ export const imagesApi = api.injectEndpoints({
 
         const { image_name, board_id } = imageDTO;
 
-        // Store patches so we can undo if the query fails
-        const patches: PatchCollection[] = [];
+        const queryArg = {
+          board_id: board_id ?? 'none',
+          categories: getCategories(imageDTO),
+        };
 
-        // determine `categories`, i.e. do we update "All Images" or "All Assets"
-        // $cache = [board_id|no_board]/[images|assets]
-        const categories = getCategories(imageDTO);
-
-        // *remove* from $cache
-        patches.push(
-          dispatch(
-            imagesApi.util.updateQueryData(
-              'listImages',
-              { board_id: board_id ?? 'none', categories },
-              (draft) => {
-                const oldTotal = draft.total;
-                const newState = imagesAdapter.removeOne(draft, image_name);
-                const delta = newState.total - oldTotal;
-                draft.total = draft.total + delta;
-              }
-            )
-          )
+        const patch = dispatch(
+          imagesApi.util.updateQueryData('listImages', queryArg, (draft) => {
+            imagesAdapter.removeOne(draft, image_name);
+          })
         );
 
         try {
           await queryFulfilled;
         } catch {
-          patches.forEach((patchResult) => patchResult.undo());
+          patch.undo();
+        }
+      },
+    }),
+    deleteImages: build.mutation<
+      components['schemas']['DeleteImagesFromListResult'],
+      { imageDTOs: ImageDTO[] }
+    >({
+      query: ({ imageDTOs }) => {
+        const image_names = imageDTOs.map((imageDTO) => imageDTO.image_name);
+        return {
+          url: `images/delete`,
+          method: 'POST',
+          body: {
+            image_names,
+          },
+        };
+      },
+      invalidatesTags: (result, error, imageDTOs) => [],
+      async onQueryStarted({ imageDTOs }, { dispatch, queryFulfilled }) {
+        /**
+         * Cache changes for `deleteImages`:
+         * - *remove* the deleted images from their boards
+         *
+         * Unfortunately we cannot do an optimistic update here due to how immer handles patching
+         * arrays. You have to undo *all* patches, else the entity adapter's `ids` array is borked.
+         * So we have to wait for the query to complete before updating the cache.
+         */
+        try {
+          const { data } = await queryFulfilled;
+
+          // convert to an object so we can access the successfully delete image DTOs by name
+          const groupedImageDTOs = keyBy(imageDTOs, 'image_name');
+
+          data.deleted_images.forEach((image_name) => {
+            const imageDTO = groupedImageDTOs[image_name];
+
+            // should never be undefined
+            if (imageDTO) {
+              const queryArg = {
+                board_id: imageDTO.board_id ?? 'none',
+                categories: getCategories(imageDTO),
+              };
+              // remove all deleted images from their boards
+              dispatch(
+                imagesApi.util.updateQueryData(
+                  'listImages',
+                  queryArg,
+                  (draft) => {
+                    imagesAdapter.removeOne(draft, image_name);
+                  }
+                )
+              );
+            }
+          });
+        } catch {
+          //
         }
       },
     }),
@@ -278,7 +217,7 @@ export const imagesApi = api.injectEndpoints({
       { imageDTO: ImageDTO; is_intermediate: boolean }
     >({
       query: ({ imageDTO, is_intermediate }) => ({
-        url: `images/${imageDTO.image_name}`,
+        url: `images/i/${imageDTO.image_name}`,
         method: 'PATCH',
         body: { is_intermediate },
       }),
@@ -329,20 +268,13 @@ export const imagesApi = api.injectEndpoints({
                 'listImages',
                 { board_id: imageDTO.board_id ?? 'none', categories },
                 (draft) => {
-                  const oldTotal = draft.total;
-                  const newState = imagesAdapter.removeOne(
-                    draft,
-                    imageDTO.image_name
-                  );
-                  const delta = newState.total - oldTotal;
-                  draft.total = draft.total + delta;
+                  imagesAdapter.removeOne(draft, imageDTO.image_name);
                 }
               )
             )
           );
         } else {
           // ELSE (it is being changed to a non-intermediate):
-          console.log(imageDTO);
           const queryArgs = {
             board_id: imageDTO.board_id ?? 'none',
             categories,
@@ -352,6 +284,16 @@ export const imagesApi = api.injectEndpoints({
             getState()
           );
 
+          const { data: total } = IMAGE_CATEGORIES.includes(
+            imageDTO.image_category
+          )
+            ? boardsApi.endpoints.getBoardImagesTotal.select(
+                imageDTO.board_id ?? 'none'
+              )(getState())
+            : boardsApi.endpoints.getBoardAssetsTotal.select(
+                imageDTO.board_id ?? 'none'
+              )(getState());
+
           // IF it eligible for insertion into existing $cache
           // "eligible" means either:
           // - The cache is fully populated, with all images in the db cached
@@ -359,8 +301,7 @@ export const imagesApi = api.injectEndpoints({
           // - The image's `created_at` is within the range of the cached images
 
           const isCacheFullyPopulated =
-            currentCache.data &&
-            currentCache.data.ids.length >= currentCache.data.total;
+            currentCache.data && currentCache.data.ids.length >= (total ?? 0);
 
           const isInDateRange = getIsImageInDateRange(
             currentCache.data,
@@ -375,10 +316,7 @@ export const imagesApi = api.injectEndpoints({
                   'listImages',
                   queryArgs,
                   (draft) => {
-                    const oldTotal = draft.total;
-                    const newState = imagesAdapter.upsertOne(draft, imageDTO);
-                    const delta = newState.total - oldTotal;
-                    draft.total = draft.total + delta;
+                    imagesAdapter.upsertOne(draft, imageDTO);
                   }
                 )
               )
@@ -401,7 +339,7 @@ export const imagesApi = api.injectEndpoints({
       { imageDTO: ImageDTO; session_id: string }
     >({
       query: ({ imageDTO, session_id }) => ({
-        url: `images/${imageDTO.image_name}`,
+        url: `images/i/${imageDTO.image_name}`,
         method: 'PATCH',
         body: { session_id },
       }),
@@ -464,14 +402,14 @@ export const imagesApi = api.injectEndpoints({
         const formData = new FormData();
         formData.append('file', file);
         return {
-          url: `images/`,
+          url: `images/upload`,
           method: 'POST',
           body: formData,
           params: {
             image_category,
             is_intermediate,
             session_id,
-            board_id,
+            board_id: board_id === 'none' ? undefined : board_id,
             crop_visible,
           },
         };
@@ -524,10 +462,7 @@ export const imagesApi = api.injectEndpoints({
                 categories,
               },
               (draft) => {
-                const oldTotal = draft.total;
-                const newState = imagesAdapter.addOne(draft, imageDTO);
-                const delta = newState.total - oldTotal;
-                draft.total = draft.total + delta;
+                imagesAdapter.addOne(draft, imageDTO);
               }
             )
           );
@@ -543,6 +478,158 @@ export const imagesApi = api.injectEndpoints({
         }
       },
     }),
+
+    deleteBoard: build.mutation<DeleteBoardResult, string>({
+      query: (board_id) => ({ url: `boards/${board_id}`, method: 'DELETE' }),
+      invalidatesTags: (result, error, board_id) => [
+        { type: 'Board', id: LIST_TAG },
+        // invalidate the 'No Board' cache
+        {
+          type: 'ImageList',
+          id: getListImagesUrl({
+            board_id: 'none',
+            categories: IMAGE_CATEGORIES,
+          }),
+        },
+        {
+          type: 'ImageList',
+          id: getListImagesUrl({
+            board_id: 'none',
+            categories: ASSETS_CATEGORIES,
+          }),
+        },
+        { type: 'BoardImagesTotal', id: 'none' },
+        { type: 'BoardAssetsTotal', id: 'none' },
+      ],
+      async onQueryStarted(board_id, { dispatch, queryFulfilled, getState }) {
+        /**
+         * Cache changes for deleteBoard:
+         * - Update every image in the 'getImageDTO' cache that has the board_id
+         * - Update every image in the 'All Images' cache that has the board_id
+         * - Update every image in the 'All Assets' cache that has the board_id
+         * - Invalidate the 'No Board' cache:
+         *   Ideally we'd be able to insert all deleted images into the cache, but we don't
+         *   have access to the deleted images DTOs - only the names, and a network request
+         *   for all of a board's DTOs could be very large. Instead, we invalidate the 'No Board'
+         *   cache.
+         */
+
+        try {
+          const { data } = await queryFulfilled;
+          const { deleted_board_images } = data;
+
+          // update getImageDTO caches
+          deleted_board_images.forEach((image_id) => {
+            dispatch(
+              imagesApi.util.updateQueryData(
+                'getImageDTO',
+                image_id,
+                (draft) => {
+                  draft.board_id = undefined;
+                }
+              )
+            );
+          });
+
+          // update 'All Images' & 'All Assets' caches
+          const queryArgsToUpdate = [
+            {
+              categories: IMAGE_CATEGORIES,
+            },
+            {
+              categories: ASSETS_CATEGORIES,
+            },
+          ];
+
+          const updates: Update<ImageDTO>[] = deleted_board_images.map(
+            (image_name) => ({
+              id: image_name,
+              changes: { board_id: undefined },
+            })
+          );
+
+          queryArgsToUpdate.forEach((queryArgs) => {
+            dispatch(
+              imagesApi.util.updateQueryData(
+                'listImages',
+                queryArgs,
+                (draft) => {
+                  imagesAdapter.updateMany(draft, updates);
+                }
+              )
+            );
+          });
+        } catch {
+          //no-op
+        }
+      },
+    }),
+
+    deleteBoardAndImages: build.mutation<DeleteBoardResult, string>({
+      query: (board_id) => ({
+        url: `boards/${board_id}`,
+        method: 'DELETE',
+        params: { include_images: true },
+      }),
+      invalidatesTags: (result, error, board_id) => [
+        { type: 'Board', id: LIST_TAG },
+        {
+          type: 'ImageList',
+          id: getListImagesUrl({
+            board_id: 'none',
+            categories: IMAGE_CATEGORIES,
+          }),
+        },
+        {
+          type: 'ImageList',
+          id: getListImagesUrl({
+            board_id: 'none',
+            categories: ASSETS_CATEGORIES,
+          }),
+        },
+        { type: 'BoardImagesTotal', id: 'none' },
+        { type: 'BoardAssetsTotal', id: 'none' },
+      ],
+      async onQueryStarted(board_id, { dispatch, queryFulfilled, getState }) {
+        /**
+         * Cache changes for deleteBoardAndImages:
+         * - ~~Remove every image in the 'getImageDTO' cache that has the board_id~~
+         *   This isn't actually possible, you cannot remove cache entries with RTK Query.
+         *   Instead, we rely on the UI to remove all components that use the deleted images.
+         * - Remove every image in the 'All Images' cache that has the board_id
+         * - Remove every image in the 'All Assets' cache that has the board_id
+         */
+
+        try {
+          const { data } = await queryFulfilled;
+          const { deleted_images } = data;
+
+          // update 'All Images' & 'All Assets' caches
+          const queryArgsToUpdate = [
+            {
+              categories: IMAGE_CATEGORIES,
+            },
+            {
+              categories: ASSETS_CATEGORIES,
+            },
+          ];
+
+          queryArgsToUpdate.forEach((queryArgs) => {
+            dispatch(
+              imagesApi.util.updateQueryData(
+                'listImages',
+                queryArgs,
+                (draft) => {
+                  imagesAdapter.removeMany(draft, deleted_images);
+                }
+              )
+            );
+          });
+        } catch {
+          //no-op
+        }
+      },
+    }),
     addImageToBoard: build.mutation<
       void,
       { board_id: BoardId; imageDTO: ImageDTO }
@@ -556,10 +643,13 @@ export const imagesApi = api.injectEndpoints({
         };
       },
       invalidatesTags: (result, error, { board_id, imageDTO }) => [
+        // refresh the board itself
         { type: 'Board', id: board_id },
+        // update old board totals
         { type: 'BoardImagesTotal', id: board_id },
-        { type: 'BoardImagesTotal', id: imageDTO.board_id ?? 'none' },
         { type: 'BoardAssetsTotal', id: board_id },
+        // update new board totals
+        { type: 'BoardImagesTotal', id: imageDTO.board_id ?? 'none' },
         { type: 'BoardAssetsTotal', id: imageDTO.board_id ?? 'none' },
       ],
       async onQueryStarted(
@@ -589,7 +679,7 @@ export const imagesApi = api.injectEndpoints({
               'getImageDTO',
               imageDTO.image_name,
               (draft) => {
-                Object.assign(draft, { board_id });
+                draft.board_id = board_id;
               }
             )
           )
@@ -606,13 +696,7 @@ export const imagesApi = api.injectEndpoints({
                   categories,
                 },
                 (draft) => {
-                  const oldTotal = draft.total;
-                  const newState = imagesAdapter.removeOne(
-                    draft,
-                    imageDTO.image_name
-                  );
-                  const delta = newState.total - oldTotal;
-                  draft.total = draft.total + delta;
+                  imagesAdapter.removeOne(draft, imageDTO.image_name);
                 }
               )
             )
@@ -630,9 +714,18 @@ export const imagesApi = api.injectEndpoints({
           //    OR
           // - The image's `created_at` is within the range of the cached images
 
+          const { data: total } = IMAGE_CATEGORIES.includes(
+            imageDTO.image_category
+          )
+            ? boardsApi.endpoints.getBoardImagesTotal.select(
+                imageDTO.board_id ?? 'none'
+              )(getState())
+            : boardsApi.endpoints.getBoardAssetsTotal.select(
+                imageDTO.board_id ?? 'none'
+              )(getState());
+
           const isCacheFullyPopulated =
-            currentCache.data &&
-            currentCache.data.ids.length >= currentCache.data.total;
+            currentCache.data && currentCache.data.ids.length >= (total ?? 0);
 
           const isInDateRange = getIsImageInDateRange(
             currentCache.data,
@@ -647,10 +740,7 @@ export const imagesApi = api.injectEndpoints({
                   'listImages',
                   queryArgs,
                   (draft) => {
-                    const oldTotal = draft.total;
-                    const newState = imagesAdapter.addOne(draft, imageDTO);
-                    const delta = newState.total - oldTotal;
-                    draft.total = draft.total + delta;
+                    imagesAdapter.addOne(draft, imageDTO);
                   }
                 )
               )
@@ -667,20 +757,26 @@ export const imagesApi = api.injectEndpoints({
     }),
     removeImageFromBoard: build.mutation<void, { imageDTO: ImageDTO }>({
       query: ({ imageDTO }) => {
-        const { board_id, image_name } = imageDTO;
+        const { image_name } = imageDTO;
         return {
           url: `board_images/`,
           method: 'DELETE',
-          body: { board_id, image_name },
+          body: { image_name },
         };
       },
-      invalidatesTags: (result, error, { imageDTO }) => [
-        { type: 'Board', id: imageDTO.board_id },
-        { type: 'BoardImagesTotal', id: imageDTO.board_id },
-        { type: 'BoardImagesTotal', id: 'none' },
-        { type: 'BoardAssetsTotal', id: imageDTO.board_id },
-        { type: 'BoardAssetsTotal', id: 'none' },
-      ],
+      invalidatesTags: (result, error, { imageDTO }) => {
+        const { board_id } = imageDTO;
+        return [
+          // invalidate the image's old board
+          { type: 'Board', id: board_id ?? 'none' },
+          // update old board totals
+          { type: 'BoardImagesTotal', id: board_id ?? 'none' },
+          { type: 'BoardAssetsTotal', id: board_id ?? 'none' },
+          // update the no_board totals
+          { type: 'BoardImagesTotal', id: 'none' },
+          { type: 'BoardAssetsTotal', id: 'none' },
+        ];
+      },
       async onQueryStarted(
         { imageDTO },
         { dispatch, queryFulfilled, getState }
@@ -704,7 +800,7 @@ export const imagesApi = api.injectEndpoints({
               'getImageDTO',
               imageDTO.image_name,
               (draft) => {
-                Object.assign(draft, { board_id: undefined });
+                draft.board_id = undefined;
               }
             )
           )
@@ -720,13 +816,7 @@ export const imagesApi = api.injectEndpoints({
                 categories,
               },
               (draft) => {
-                const oldTotal = draft.total;
-                const newState = imagesAdapter.removeOne(
-                  draft,
-                  imageDTO.image_name
-                );
-                const delta = newState.total - oldTotal;
-                draft.total = draft.total + delta;
+                imagesAdapter.removeOne(draft, imageDTO.image_name);
               }
             )
           )
@@ -744,9 +834,18 @@ export const imagesApi = api.injectEndpoints({
         //    OR
         // - The image's `created_at` is within the range of the cached images
 
+        const { data: total } = IMAGE_CATEGORIES.includes(
+          imageDTO.image_category
+        )
+          ? boardsApi.endpoints.getBoardImagesTotal.select(
+              imageDTO.board_id ?? 'none'
+            )(getState())
+          : boardsApi.endpoints.getBoardAssetsTotal.select(
+              imageDTO.board_id ?? 'none'
+            )(getState());
+
         const isCacheFullyPopulated =
-          currentCache.data &&
-          currentCache.data.ids.length >= currentCache.data.total;
+          currentCache.data && currentCache.data.ids.length >= (total ?? 0);
 
         const isInDateRange = getIsImageInDateRange(
           currentCache.data,
@@ -761,10 +860,7 @@ export const imagesApi = api.injectEndpoints({
                 'listImages',
                 queryArgs,
                 (draft) => {
-                  const oldTotal = draft.total;
-                  const newState = imagesAdapter.upsertOne(draft, imageDTO);
-                  const delta = newState.total - oldTotal;
-                  draft.total = draft.total + delta;
+                  imagesAdapter.upsertOne(draft, imageDTO);
                 }
               )
             )
@@ -778,6 +874,255 @@ export const imagesApi = api.injectEndpoints({
         }
       },
     }),
+    addImagesToBoard: build.mutation<
+      components['schemas']['AddImagesToBoardResult'],
+      {
+        board_id: string;
+        imageDTOs: ImageDTO[];
+      }
+    >({
+      query: ({ board_id, imageDTOs }) => ({
+        url: `board_images/batch`,
+        method: 'POST',
+        body: {
+          image_names: imageDTOs.map((i) => i.image_name),
+          board_id,
+        },
+      }),
+      invalidatesTags: (result, error, { board_id }) => [
+        // update the destination board
+        { type: 'Board', id: board_id ?? 'none' },
+        // update old board totals
+        { type: 'BoardImagesTotal', id: board_id ?? 'none' },
+        { type: 'BoardAssetsTotal', id: board_id ?? 'none' },
+        // update the no_board totals
+        { type: 'BoardImagesTotal', id: 'none' },
+        { type: 'BoardAssetsTotal', id: 'none' },
+      ],
+      async onQueryStarted(
+        { board_id, imageDTOs },
+        { dispatch, queryFulfilled, getState }
+      ) {
+        try {
+          const { data } = await queryFulfilled;
+          const { added_image_names } = data;
+
+          /**
+           * Cache changes for addImagesToBoard:
+           * - *update* getImageDTO for each image
+           * - *add* to board_id/[images|assets]
+           * - *remove* from [old_board_id|no_board]/[images|assets]
+           */
+
+          added_image_names.forEach((image_name) => {
+            dispatch(
+              imagesApi.util.updateQueryData(
+                'getImageDTO',
+                image_name,
+                (draft) => {
+                  draft.board_id = board_id;
+                }
+              )
+            );
+
+            const imageDTO = imageDTOs.find((i) => i.image_name === image_name);
+
+            if (!imageDTO) {
+              return;
+            }
+
+            const categories = getCategories(imageDTO);
+            const old_board_id = imageDTO.board_id;
+
+            // remove from the old board
+            dispatch(
+              imagesApi.util.updateQueryData(
+                'listImages',
+                { board_id: old_board_id ?? 'none', categories },
+                (draft) => {
+                  imagesAdapter.removeOne(draft, imageDTO.image_name);
+                }
+              )
+            );
+
+            const queryArgs = {
+              board_id,
+              categories,
+            };
+
+            const currentCache = imagesApi.endpoints.listImages.select(
+              queryArgs
+            )(getState());
+
+            const { data: total } = IMAGE_CATEGORIES.includes(
+              imageDTO.image_category
+            )
+              ? boardsApi.endpoints.getBoardImagesTotal.select(
+                  imageDTO.board_id ?? 'none'
+                )(getState())
+              : boardsApi.endpoints.getBoardAssetsTotal.select(
+                  imageDTO.board_id ?? 'none'
+                )(getState());
+
+            const isCacheFullyPopulated =
+              currentCache.data && currentCache.data.ids.length >= (total ?? 0);
+
+            const isInDateRange = getIsImageInDateRange(
+              currentCache.data,
+              imageDTO
+            );
+
+            if (isCacheFullyPopulated || isInDateRange) {
+              // *upsert* to $cache
+              dispatch(
+                imagesApi.util.updateQueryData(
+                  'listImages',
+                  queryArgs,
+                  (draft) => {
+                    imagesAdapter.upsertOne(draft, {
+                      ...imageDTO,
+                      board_id,
+                    });
+                  }
+                )
+              );
+            }
+          });
+        } catch {
+          // no-op
+        }
+      },
+    }),
+    removeImagesFromBoard: build.mutation<
+      components['schemas']['RemoveImagesFromBoardResult'],
+      {
+        imageDTOs: ImageDTO[];
+      }
+    >({
+      query: ({ imageDTOs }) => ({
+        url: `board_images/batch/delete`,
+        method: 'POST',
+        body: {
+          image_names: imageDTOs.map((i) => i.image_name),
+        },
+      }),
+      invalidatesTags: (result, error, { imageDTOs }) => {
+        const touchedBoardIds: string[] = [];
+        const tags: ApiFullTagDescription[] = [
+          { type: 'BoardImagesTotal', id: 'none' },
+          { type: 'BoardAssetsTotal', id: 'none' },
+        ];
+
+        result?.removed_image_names.forEach((image_name) => {
+          const board_id = imageDTOs.find(
+            (i) => i.image_name === image_name
+          )?.board_id;
+
+          if (!board_id || touchedBoardIds.includes(board_id)) {
+            return;
+          }
+
+          tags.push({ type: 'Board', id: board_id });
+          tags.push({ type: 'BoardImagesTotal', id: board_id });
+          tags.push({ type: 'BoardAssetsTotal', id: board_id });
+        });
+
+        return tags;
+      },
+      async onQueryStarted(
+        { imageDTOs },
+        { dispatch, queryFulfilled, getState }
+      ) {
+        try {
+          const { data } = await queryFulfilled;
+          const { removed_image_names } = data;
+
+          /**
+           * Cache changes for removeImagesFromBoard:
+           * - *update* getImageDTO for each image
+           * - *remove* from old_board_id/[images|assets]
+           * - *add* to no_board/[images|assets]
+           */
+
+          removed_image_names.forEach((image_name) => {
+            dispatch(
+              imagesApi.util.updateQueryData(
+                'getImageDTO',
+                image_name,
+                (draft) => {
+                  draft.board_id = undefined;
+                }
+              )
+            );
+
+            const imageDTO = imageDTOs.find((i) => i.image_name === image_name);
+
+            if (!imageDTO) {
+              return;
+            }
+
+            const categories = getCategories(imageDTO);
+
+            // remove from the old board
+            dispatch(
+              imagesApi.util.updateQueryData(
+                'listImages',
+                { board_id: imageDTO.board_id ?? 'none', categories },
+                (draft) => {
+                  imagesAdapter.removeOne(draft, imageDTO.image_name);
+                }
+              )
+            );
+
+            // add to `no_board`
+            const queryArgs = {
+              board_id: 'none',
+              categories,
+            };
+
+            const currentCache = imagesApi.endpoints.listImages.select(
+              queryArgs
+            )(getState());
+
+            const { data: total } = IMAGE_CATEGORIES.includes(
+              imageDTO.image_category
+            )
+              ? boardsApi.endpoints.getBoardImagesTotal.select(
+                  imageDTO.board_id ?? 'none'
+                )(getState())
+              : boardsApi.endpoints.getBoardAssetsTotal.select(
+                  imageDTO.board_id ?? 'none'
+                )(getState());
+
+            const isCacheFullyPopulated =
+              currentCache.data && currentCache.data.ids.length >= (total ?? 0);
+
+            const isInDateRange = getIsImageInDateRange(
+              currentCache.data,
+              imageDTO
+            );
+
+            if (isCacheFullyPopulated || isInDateRange) {
+              // *upsert* to $cache
+              dispatch(
+                imagesApi.util.updateQueryData(
+                  'listImages',
+                  queryArgs,
+                  (draft) => {
+                    imagesAdapter.upsertOne(draft, {
+                      ...imageDTO,
+                      board_id: undefined,
+                    });
+                  }
+                )
+              );
+            }
+          });
+        } catch {
+          // no-op
+        }
+      },
+    }),
   }),
 });
 
@@ -788,10 +1133,15 @@ export const {
   useGetImageDTOQuery,
   useGetImageMetadataQuery,
   useDeleteImageMutation,
-  useGetBoardImagesTotalQuery,
-  useGetBoardAssetsTotalQuery,
+  useDeleteImagesMutation,
   useUploadImageMutation,
+  useClearIntermediatesMutation,
+  useAddImagesToBoardMutation,
+  useRemoveImagesFromBoardMutation,
   useAddImageToBoardMutation,
   useRemoveImageFromBoardMutation,
-  useClearIntermediatesMutation,
+  useChangeImageIsIntermediateMutation,
+  useChangeImageSessionIdMutation,
+  useDeleteBoardAndImagesMutation,
+  useDeleteBoardMutation,
 } = imagesApi;
diff --git a/invokeai/frontend/web/src/services/api/endpoints/models.ts b/invokeai/frontend/web/src/services/api/endpoints/models.ts
index a7b1323f36..33eb1fbdc2 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/models.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/models.ts
@@ -5,7 +5,6 @@ import {
   BaseModelType,
   CheckpointModelConfig,
   ControlNetModelConfig,
-  ConvertModelConfig,
   DiffusersModelConfig,
   ImportModelConfig,
   LoRAModelConfig,
@@ -83,7 +82,7 @@ type DeleteLoRAModelResponse = void;
 type ConvertMainModelArg = {
   base_model: BaseModelType;
   model_name: string;
-  params: ConvertModelConfig;
+  convert_dest_directory?: string;
 };
 
 type ConvertMainModelResponse =
@@ -122,7 +121,7 @@ type CheckpointConfigsResponse =
 
 type SearchFolderArg = operations['search_for_models']['parameters']['query'];
 
-const mainModelsAdapter = createEntityAdapter<MainModelConfigEntity>({
+export const mainModelsAdapter = createEntityAdapter<MainModelConfigEntity>({
   sortComparer: (a, b) => a.model_name.localeCompare(b.model_name),
 });
 
@@ -132,15 +131,15 @@ const onnxModelsAdapter = createEntityAdapter<OnnxModelConfigEntity>({
 const loraModelsAdapter = createEntityAdapter<LoRAModelConfigEntity>({
   sortComparer: (a, b) => a.model_name.localeCompare(b.model_name),
 });
-const controlNetModelsAdapter =
+export const controlNetModelsAdapter =
   createEntityAdapter<ControlNetModelConfigEntity>({
     sortComparer: (a, b) => a.model_name.localeCompare(b.model_name),
   });
-const textualInversionModelsAdapter =
+export const textualInversionModelsAdapter =
   createEntityAdapter<TextualInversionModelConfigEntity>({
     sortComparer: (a, b) => a.model_name.localeCompare(b.model_name),
   });
-const vaeModelsAdapter = createEntityAdapter<VaeModelConfigEntity>({
+export const vaeModelsAdapter = createEntityAdapter<VaeModelConfigEntity>({
   sortComparer: (a, b) => a.model_name.localeCompare(b.model_name),
 });
 
@@ -320,11 +319,11 @@ export const modelsApi = api.injectEndpoints({
       ConvertMainModelResponse,
       ConvertMainModelArg
     >({
-      query: ({ base_model, model_name, params }) => {
+      query: ({ base_model, model_name, convert_dest_directory }) => {
         return {
           url: `models/convert/${base_model}/main/${model_name}`,
           method: 'PUT',
-          params: params,
+          params: { convert_dest_directory },
         };
       },
       invalidatesTags: [
diff --git a/invokeai/frontend/web/src/services/api/hooks/useBoardName.ts b/invokeai/frontend/web/src/services/api/hooks/useBoardName.ts
index 748f2c8f6e..ce0cff7b8a 100644
--- a/invokeai/frontend/web/src/services/api/hooks/useBoardName.ts
+++ b/invokeai/frontend/web/src/services/api/hooks/useBoardName.ts
@@ -1,7 +1,7 @@
 import { BoardId } from 'features/gallery/store/types';
 import { useListAllBoardsQuery } from '../endpoints/boards';
 
-export const useBoardName = (board_id: BoardId | null | undefined) => {
+export const useBoardName = (board_id: BoardId) => {
   const { boardName } = useListAllBoardsQuery(undefined, {
     selectFromResult: ({ data }) => {
       const selectedBoard = data?.find((b) => b.board_id === board_id);
diff --git a/invokeai/frontend/web/src/services/api/hooks/useBoardTotal.ts b/invokeai/frontend/web/src/services/api/hooks/useBoardTotal.ts
index dd144ffe00..a350979b89 100644
--- a/invokeai/frontend/web/src/services/api/hooks/useBoardTotal.ts
+++ b/invokeai/frontend/web/src/services/api/hooks/useBoardTotal.ts
@@ -4,7 +4,7 @@ import { useMemo } from 'react';
 import {
   useGetBoardAssetsTotalQuery,
   useGetBoardImagesTotalQuery,
-} from '../endpoints/images';
+} from '../endpoints/boards';
 
 export const useBoardTotal = (board_id: BoardId) => {
   const galleryView = useAppSelector((state) => state.gallery.galleryView);
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 80f0933f37..6574ec4909 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -135,19 +135,14 @@ export type paths = {
      */
     put: operations["merge_models"];
   };
-  "/api/v1/images/": {
-    /**
-     * List Image Dtos 
-     * @description Gets a list of image DTOs
-     */
-    get: operations["list_image_dtos"];
+  "/api/v1/images/upload": {
     /**
      * Upload Image 
      * @description Uploads an image
      */
     post: operations["upload_image"];
   };
-  "/api/v1/images/{image_name}": {
+  "/api/v1/images/i/{image_name}": {
     /**
      * Get Image Dto 
      * @description Gets an image's DTO
@@ -171,34 +166,45 @@ export type paths = {
      */
     post: operations["clear_intermediates"];
   };
-  "/api/v1/images/{image_name}/metadata": {
+  "/api/v1/images/i/{image_name}/metadata": {
     /**
      * Get Image Metadata 
      * @description Gets an image's metadata
      */
     get: operations["get_image_metadata"];
   };
-  "/api/v1/images/{image_name}/full": {
+  "/api/v1/images/i/{image_name}/full": {
     /**
      * Get Image Full 
      * @description Gets a full-resolution image file
      */
     get: operations["get_image_full"];
   };
-  "/api/v1/images/{image_name}/thumbnail": {
+  "/api/v1/images/i/{image_name}/thumbnail": {
     /**
      * Get Image Thumbnail 
      * @description Gets a thumbnail image file
      */
     get: operations["get_image_thumbnail"];
   };
-  "/api/v1/images/{image_name}/urls": {
+  "/api/v1/images/i/{image_name}/urls": {
     /**
      * Get Image Urls 
      * @description Gets an image and thumbnail URL
      */
     get: operations["get_image_urls"];
   };
+  "/api/v1/images/": {
+    /**
+     * List Image Dtos 
+     * @description Gets a list of image DTOs
+     */
+    get: operations["list_image_dtos"];
+  };
+  "/api/v1/images/delete": {
+    /** Delete Images From List */
+    post: operations["delete_images_from_list"];
+  };
   "/api/v1/boards/": {
     /**
      * List Boards 
@@ -237,15 +243,29 @@ export type paths = {
   };
   "/api/v1/board_images/": {
     /**
-     * Create Board Image 
+     * Add Image To Board 
      * @description Creates a board_image
      */
-    post: operations["create_board_image"];
+    post: operations["add_image_to_board"];
     /**
-     * Remove Board Image 
-     * @description Deletes a board_image
+     * Remove Image From Board 
+     * @description Removes an image from its board, if it had one
      */
-    delete: operations["remove_board_image"];
+    delete: operations["remove_image_from_board"];
+  };
+  "/api/v1/board_images/batch": {
+    /**
+     * Add Images To Board 
+     * @description Adds a list of images to a board
+     */
+    post: operations["add_images_to_board"];
+  };
+  "/api/v1/board_images/batch/delete": {
+    /**
+     * Remove Images From Board 
+     * @description Removes a list of images from their board, if they had one
+     */
+    post: operations["remove_images_from_board"];
   };
   "/api/v1/app/version": {
     /** Get Version */
@@ -273,6 +293,19 @@ export type webhooks = Record<string, never>;
 
 export type components = {
   schemas: {
+    /** AddImagesToBoardResult */
+    AddImagesToBoardResult: {
+      /**
+       * Board Id 
+       * @description The id of the board the images were added to
+       */
+      board_id: string;
+      /**
+       * Added Image Names 
+       * @description The image names that were added to the board
+       */
+      added_image_names: (string)[];
+    };
     /**
      * AddInvocation 
      * @description Adds two numbers
@@ -405,8 +438,8 @@ export type components = {
        */
       image_count: number;
     };
-    /** Body_create_board_image */
-    Body_create_board_image: {
+    /** Body_add_image_to_board */
+    Body_add_image_to_board: {
       /**
        * Board Id 
        * @description The id of the board to add to
@@ -418,6 +451,27 @@ export type components = {
        */
       image_name: string;
     };
+    /** Body_add_images_to_board */
+    Body_add_images_to_board: {
+      /**
+       * Board Id 
+       * @description The id of the board to add to
+       */
+      board_id: string;
+      /**
+       * Image Names 
+       * @description The names of the images to add
+       */
+      image_names: (string)[];
+    };
+    /** Body_delete_images_from_list */
+    Body_delete_images_from_list: {
+      /**
+       * Image Names 
+       * @description The list of names of images to delete
+       */
+      image_names: (string)[];
+    };
     /** Body_import_model */
     Body_import_model: {
       /**
@@ -465,19 +519,22 @@ export type components = {
        */
       merge_dest_directory?: string;
     };
-    /** Body_remove_board_image */
-    Body_remove_board_image: {
-      /**
-       * Board Id 
-       * @description The id of the board
-       */
-      board_id: string;
+    /** Body_remove_image_from_board */
+    Body_remove_image_from_board: {
       /**
        * Image Name 
        * @description The name of the image to remove
        */
       image_name: string;
     };
+    /** Body_remove_images_from_board */
+    Body_remove_images_from_board: {
+      /**
+       * Image Names 
+       * @description The names of the images to remove
+       */
+      image_names: (string)[];
+    };
     /** Body_upload_image */
     Body_upload_image: {
       /**
@@ -1157,6 +1214,11 @@ export type components = {
        */
       deleted_images: (string)[];
     };
+    /** DeleteImagesFromListResult */
+    DeleteImagesFromListResult: {
+      /** Deleted Images */
+      deleted_images: (string)[];
+    };
     /**
      * DivideInvocation 
      * @description Divides two numbers
@@ -4627,6 +4689,14 @@ export type components = {
        */
       step?: number;
     };
+    /** RemoveImagesFromBoardResult */
+    RemoveImagesFromBoardResult: {
+      /**
+       * Removed Image Names 
+       * @description The image names that were removed from their board
+       */
+      removed_image_names: (string)[];
+    };
     /**
      * ResizeLatentsInvocation 
      * @description Resizes latents to explicit width/height (in pixels). Provided dimensions are floor-divided by 8.
@@ -5891,18 +5961,6 @@ export type components = {
        */
       image?: components["schemas"]["ImageField"];
     };
-    /**
-     * ControlNetModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusionXLModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionOnnxModelFormat 
      * @description An enumeration. 
@@ -5921,6 +5979,18 @@ export type components = {
      * @enum {string}
      */
     StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionXLModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
+    /**
+     * ControlNetModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    ControlNetModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -6547,42 +6617,6 @@ export type operations = {
       };
     };
   };
-  /**
-   * List Image Dtos 
-   * @description Gets a list of image DTOs
-   */
-  list_image_dtos: {
-    parameters: {
-      query?: {
-        /** @description The origin of images to list. */
-        image_origin?: components["schemas"]["ResourceOrigin"];
-        /** @description The categories of image to include. */
-        categories?: (components["schemas"]["ImageCategory"])[];
-        /** @description Whether to list intermediate images. */
-        is_intermediate?: boolean;
-        /** @description The board id to filter by. Use 'none' to find images without a board. */
-        board_id?: string;
-        /** @description The page offset */
-        offset?: number;
-        /** @description The number of images per page */
-        limit?: number;
-      };
-    };
-    responses: {
-      /** @description Successful Response */
-      200: {
-        content: {
-          "application/json": components["schemas"]["OffsetPaginatedResults_ImageDTO_"];
-        };
-      };
-      /** @description Validation Error */
-      422: {
-        content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
-        };
-      };
-    };
-  };
   /**
    * Upload Image 
    * @description Uploads an image
@@ -6829,6 +6863,64 @@ export type operations = {
       };
     };
   };
+  /**
+   * List Image Dtos 
+   * @description Gets a list of image DTOs
+   */
+  list_image_dtos: {
+    parameters: {
+      query?: {
+        /** @description The origin of images to list. */
+        image_origin?: components["schemas"]["ResourceOrigin"];
+        /** @description The categories of image to include. */
+        categories?: (components["schemas"]["ImageCategory"])[];
+        /** @description Whether to list intermediate images. */
+        is_intermediate?: boolean;
+        /** @description The board id to filter by. Use 'none' to find images without a board. */
+        board_id?: string;
+        /** @description The page offset */
+        offset?: number;
+        /** @description The number of images per page */
+        limit?: number;
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": components["schemas"]["OffsetPaginatedResults_ImageDTO_"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /** Delete Images From List */
+  delete_images_from_list: {
+    requestBody: {
+      content: {
+        "application/json": components["schemas"]["Body_delete_images_from_list"];
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": components["schemas"]["DeleteImagesFromListResult"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
   /**
    * List Boards 
    * @description Gets a list of boards
@@ -6999,13 +7091,13 @@ export type operations = {
     };
   };
   /**
-   * Create Board Image 
+   * Add Image To Board 
    * @description Creates a board_image
    */
-  create_board_image: {
+  add_image_to_board: {
     requestBody: {
       content: {
-        "application/json": components["schemas"]["Body_create_board_image"];
+        "application/json": components["schemas"]["Body_add_image_to_board"];
       };
     };
     responses: {
@@ -7024,13 +7116,13 @@ export type operations = {
     };
   };
   /**
-   * Remove Board Image 
-   * @description Deletes a board_image
+   * Remove Image From Board 
+   * @description Removes an image from its board, if it had one
    */
-  remove_board_image: {
+  remove_image_from_board: {
     requestBody: {
       content: {
-        "application/json": components["schemas"]["Body_remove_board_image"];
+        "application/json": components["schemas"]["Body_remove_image_from_board"];
       };
     };
     responses: {
@@ -7048,6 +7140,56 @@ export type operations = {
       };
     };
   };
+  /**
+   * Add Images To Board 
+   * @description Adds a list of images to a board
+   */
+  add_images_to_board: {
+    requestBody: {
+      content: {
+        "application/json": components["schemas"]["Body_add_images_to_board"];
+      };
+    };
+    responses: {
+      /** @description Images were added to board successfully */
+      201: {
+        content: {
+          "application/json": components["schemas"]["AddImagesToBoardResult"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /**
+   * Remove Images From Board 
+   * @description Removes a list of images from their board, if they had one
+   */
+  remove_images_from_board: {
+    requestBody: {
+      content: {
+        "application/json": components["schemas"]["Body_remove_images_from_board"];
+      };
+    };
+    responses: {
+      /** @description Images were removed from board successfully */
+      201: {
+        content: {
+          "application/json": components["schemas"]["RemoveImagesFromBoardResult"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
   /** Get Version */
   app_version: {
     responses: {
diff --git a/invokeai/frontend/web/src/services/api/types.d.ts b/invokeai/frontend/web/src/services/api/types.ts
similarity index 89%
rename from invokeai/frontend/web/src/services/api/types.d.ts
rename to invokeai/frontend/web/src/services/api/types.ts
index 2ee508fe48..ca9dbb3aeb 100644
--- a/invokeai/frontend/web/src/services/api/types.d.ts
+++ b/invokeai/frontend/web/src/services/api/types.ts
@@ -1,13 +1,40 @@
 import { UseToastOptions } from '@chakra-ui/react';
+import { EntityState } from '@reduxjs/toolkit';
 import { O } from 'ts-toolbelt';
-import { components } from './schema';
+import { components, paths } from './schema';
 
-type schemas = components['schemas'];
+export type ImageCache = EntityState<ImageDTO>;
+
+export type ListImagesArgs = NonNullable<
+  paths['/api/v1/images/']['get']['parameters']['query']
+>;
+
+export type DeleteBoardResult =
+  paths['/api/v1/boards/{board_id}']['delete']['responses']['200']['content']['application/json'];
+
+export type ListBoardsArg = NonNullable<
+  paths['/api/v1/boards/']['get']['parameters']['query']
+>;
+
+export type UpdateBoardArg =
+  paths['/api/v1/boards/{board_id}']['patch']['parameters']['path'] & {
+    changes: paths['/api/v1/boards/{board_id}']['patch']['requestBody']['content']['application/json'];
+  };
+
+/**
+ * This is an unsafe type; the object inside is not guaranteed to be valid.
+ */
+export type UnsafeImageMetadata = {
+  metadata: components['schemas']['CoreMetadata'];
+  graph: NonNullable<components['schemas']['Graph']>;
+};
 
 /**
  * Marks the `type` property as required. Use for nodes.
  */
-type TypeReq<T> = O.Required<T, 'type'>;
+type TypeReq<T extends object> = O.Required<T, 'type'>;
+
+// Extracted types from API schema
 
 // App Info
 export type AppVersion = components['schemas']['AppVersion'];
@@ -72,7 +99,6 @@ export type AnyModelConfig =
   | OnnxModelConfig;
 
 export type MergeModelConfig = components['schemas']['Body_merge_models'];
-export type ConvertModelConfig = components['schemas']['Body_convert_model'];
 export type ImportModelConfig = components['schemas']['Body_import_model'];
 
 // Graphs
diff --git a/invokeai/frontend/web/src/services/api/util.ts b/invokeai/frontend/web/src/services/api/util.ts
new file mode 100644
index 0000000000..20c9baedbb
--- /dev/null
+++ b/invokeai/frontend/web/src/services/api/util.ts
@@ -0,0 +1,56 @@
+import {
+  ASSETS_CATEGORIES,
+  IMAGE_CATEGORIES,
+} from 'features/gallery/store/types';
+import { ImageCache, ImageDTO, ListImagesArgs } from './types';
+import { createEntityAdapter } from '@reduxjs/toolkit';
+import { dateComparator } from 'common/util/dateComparator';
+import queryString from 'query-string';
+
+export const getIsImageInDateRange = (
+  data: ImageCache | undefined,
+  imageDTO: ImageDTO
+) => {
+  if (!data) {
+    return false;
+  }
+  const cacheImageDTOS = imagesSelectors.selectAll(data);
+
+  if (cacheImageDTOS.length > 1) {
+    // Images are sorted by `created_at` DESC
+    // check if the image is newer than the oldest image in the cache
+    const createdDate = new Date(imageDTO.created_at);
+    const oldestImage = cacheImageDTOS[cacheImageDTOS.length - 1];
+    if (!oldestImage) {
+      // satisfy TS gods, we already confirmed the array has more than one image
+      return false;
+    }
+    const oldestDate = new Date(oldestImage.created_at);
+    return createdDate >= oldestDate;
+  } else if ([0, 1].includes(cacheImageDTOS.length)) {
+    // if there are only 1 or 0 images in the cache, we consider the image to be in the date range
+    return true;
+  }
+  return false;
+};
+
+export const getCategories = (imageDTO: ImageDTO) => {
+  if (IMAGE_CATEGORIES.includes(imageDTO.image_category)) {
+    return IMAGE_CATEGORIES;
+  }
+  return ASSETS_CATEGORIES;
+};
+
+// The adapter is not actually the data store - it just provides helper functions to interact
+// with some other store of data. We will use the RTK Query cache as that store.
+export const imagesAdapter = createEntityAdapter<ImageDTO>({
+  selectId: (image) => image.image_name,
+  sortComparer: (a, b) => dateComparator(b.updated_at, a.updated_at),
+});
+
+// Create selectors for the adapter.
+export const imagesSelectors = imagesAdapter.getSelectors();
+
+// Helper to create the url for the listImages endpoint. Also we use it to create the cache key.
+export const getListImagesUrl = (queryArgs: ListImagesArgs) =>
+  `images/?${queryString.stringify(queryArgs, { arrayFormat: 'none' })}`;
diff --git a/invokeai/frontend/web/src/theme/util/generateColorPalette.ts b/invokeai/frontend/web/src/theme/util/generateColorPalette.ts
index 6d90a070c0..63a5c06219 100644
--- a/invokeai/frontend/web/src/theme/util/generateColorPalette.ts
+++ b/invokeai/frontend/web/src/theme/util/generateColorPalette.ts
@@ -22,7 +22,7 @@ export function generateColorPalette(
   ];
 
   const p = colorSteps.reduce((palette, step, index) => {
-    const A = alpha ? lightnessSteps[index] / 100 : 1;
+    const A = alpha ? (lightnessSteps[index] as number) / 100 : 1;
 
     // Lightness should be 50% for alpha colors
     const L = alpha ? 50 : lightnessSteps[colorSteps.length - 1 - index];
diff --git a/invokeai/frontend/web/tsconfig.json b/invokeai/frontend/web/tsconfig.json
index e722e2f9a8..c43d5dd86d 100644
--- a/invokeai/frontend/web/tsconfig.json
+++ b/invokeai/frontend/web/tsconfig.json
@@ -13,6 +13,8 @@
     "moduleResolution": "Node",
     // TODO: Disabled for IDE performance issues with our translation JSON
     // "resolveJsonModule": true,
+    "noUncheckedIndexedAccess": true,
+    "strictNullChecks": true,
     "isolatedModules": true,
     "noEmit": true,
     "jsx": "react-jsx",

From d2bddf7f9161d8c18dda60ebebeedc35a0dd1a78 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Thu, 3 Aug 2023 08:47:56 -0400
Subject: [PATCH 052/287] tweak formatting to accommodate longer runtimes

---
 invokeai/app/services/invocation_stats.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/invokeai/app/services/invocation_stats.py b/invokeai/app/services/invocation_stats.py
index aca1dba550..50320a6611 100644
--- a/invokeai/app/services/invocation_stats.py
+++ b/invokeai/app/services/invocation_stats.py
@@ -208,12 +208,12 @@ class InvocationStatsService(InvocationStatsServiceBase):
 
             total_time = 0
             logger.info(f"Graph stats: {graph_id}")
-            logger.info("Node                 Calls  Seconds  VRAM Used")
+            logger.info("Node                 Calls    Seconds VRAM Used")
             for node_type, stats in self._stats[graph_id].nodes.items():
-                logger.info(f"{node_type:<20} {stats.calls:>5}   {stats.time_used:4.3f}s     {stats.max_vram:4.2f}G")
+                logger.info(f"{node_type:<20} {stats.calls:>5}   {stats.time_used:7.3f}s     {stats.max_vram:4.2f}G")
                 total_time += stats.time_used
 
-            logger.info(f"TOTAL GRAPH EXECUTION TIME:  {total_time:4.3f}s")
+            logger.info(f"TOTAL GRAPH EXECUTION TIME:  {total_time:7.3f}s")
             if torch.cuda.is_available():
                 logger.info("Current VRAM utilization " + "%4.2fG" % (torch.cuda.memory_allocated() / 1e9))
 

From ab5d938a1d47bd74e6b54d90f72f2905103638f2 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Thu, 3 Aug 2023 19:23:52 -0400
Subject: [PATCH 053/287] use variant instead of revision

---
 invokeai/backend/install/model_install_backend.py | 12 +++++++++---
 1 file changed, 9 insertions(+), 3 deletions(-)

diff --git a/invokeai/backend/install/model_install_backend.py b/invokeai/backend/install/model_install_backend.py
index 449c234144..691a461652 100644
--- a/invokeai/backend/install/model_install_backend.py
+++ b/invokeai/backend/install/model_install_backend.py
@@ -419,18 +419,24 @@ class ModelInstall(object):
         """
         _, name = repo_id.split("/")
         precision = torch_dtype(choose_torch_device())
-        revisions = ["fp16", "main"] if precision == torch.float16 else ["main"]
+        variants = ["fp16",None] if precision == torch.float16 else [None,"fp16"]
+
         model = None
-        for revision in revisions:
+        for variant in variants:
             try:
                 model = DiffusionPipeline.from_pretrained(
-                    repo_id, revision=revision, safety_checker=None, torch_dtype=precision
+                    repo_id,
+                    variant=variant,
+                    torch_dtype=precision,
+                    safety_checker=None, 
                 )
             except Exception as e:  # most errors are due to fp16 not being present. Fix this to catch other errors
                 if "fp16" not in str(e):
                     print(e)
+
             if model:
                 break
+            
         if not model:
             logger.error(f"Diffusers model {repo_id} could not be downloaded. Skipping.")
             return None

From 446fb4a43839211a30bb940ed6532dfcec0e99a3 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Thu, 3 Aug 2023 19:24:23 -0400
Subject: [PATCH 054/287] blackify

---
 invokeai/backend/install/model_install_backend.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/invokeai/backend/install/model_install_backend.py b/invokeai/backend/install/model_install_backend.py
index 691a461652..b2d09c1ffe 100644
--- a/invokeai/backend/install/model_install_backend.py
+++ b/invokeai/backend/install/model_install_backend.py
@@ -419,7 +419,7 @@ class ModelInstall(object):
         """
         _, name = repo_id.split("/")
         precision = torch_dtype(choose_torch_device())
-        variants = ["fp16",None] if precision == torch.float16 else [None,"fp16"]
+        variants = ["fp16", None] if precision == torch.float16 else [None, "fp16"]
 
         model = None
         for variant in variants:
@@ -428,7 +428,7 @@ class ModelInstall(object):
                     repo_id,
                     variant=variant,
                     torch_dtype=precision,
-                    safety_checker=None, 
+                    safety_checker=None,
                 )
             except Exception as e:  # most errors are due to fp16 not being present. Fix this to catch other errors
                 if "fp16" not in str(e):
@@ -436,7 +436,7 @@ class ModelInstall(object):
 
             if model:
                 break
-            
+
         if not model:
             logger.error(f"Diffusers model {repo_id} could not be downloaded. Skipping.")
             return None

From cfc3a20565810a72cb572019f1ad9ce99b4e1177 Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Thu, 3 Aug 2023 15:47:59 -0400
Subject: [PATCH 055/287] autoAddBoardId should always be defined

---
 .../middleware/listenerMiddleware/listeners/imageUploaded.ts  | 2 +-
 .../frontend/web/src/features/gallery/store/gallerySlice.ts   | 4 ++++
 2 files changed, 5 insertions(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts
index f488259eb7..6dc2d482a9 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts
@@ -40,7 +40,7 @@ export const addImageUploadedFulfilledListener = () => {
       // default action - just upload and alert user
       if (postUploadAction?.type === 'TOAST') {
         const { toastOptions } = postUploadAction;
-        if (!autoAddBoardId) {
+        if (!autoAddBoardId || autoAddBoardId === 'none') {
           dispatch(addToast({ ...DEFAULT_UPLOADED_TOAST, ...toastOptions }));
         } else {
           // Add this image to the board
diff --git a/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts b/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts
index 3b0dd233f1..bc7acff6f4 100644
--- a/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts
+++ b/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts
@@ -41,6 +41,10 @@ export const gallerySlice = createSlice({
       state.galleryView = 'images';
     },
     autoAddBoardIdChanged: (state, action: PayloadAction<BoardId>) => {
+      if (!action.payload) {
+        state.autoAddBoardId = 'none';
+        return;
+      }
       state.autoAddBoardId = action.payload;
     },
     galleryViewChanged: (state, action: PayloadAction<GalleryView>) => {

From 1ac14a1e43f5943435a8a28a1bf57d059b532af4 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Mon, 31 Jul 2023 23:18:02 +0300
Subject: [PATCH 056/287] add sdxl lora support

---
 invokeai/app/invocations/compel.py            |  30 +-
 invokeai/app/invocations/latent.py            |   2 +-
 invokeai/app/invocations/model.py             |  97 ++++
 invokeai/app/invocations/sdxl.py              |  16 +-
 invokeai/backend/model_management/__init__.py |   1 +
 invokeai/backend/model_management/lora.py     | 436 +-------------
 .../backend/model_management/model_cache.py   |   2 -
 .../backend/model_management/models/lora.py   | 537 +++++++++++++++++-
 8 files changed, 683 insertions(+), 438 deletions(-)

diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index ada7a06a57..bbe372ff57 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -173,7 +173,7 @@ class CompelInvocation(BaseInvocation):
 
 
 class SDXLPromptInvocationBase:
-    def run_clip_raw(self, context, clip_field, prompt, get_pooled):
+    def run_clip_raw(self, context, clip_field, prompt, get_pooled, lora_prefix):
         tokenizer_info = context.services.model_manager.get_model(
             **clip_field.tokenizer.dict(),
             context=context,
@@ -210,8 +210,8 @@ class SDXLPromptInvocationBase:
                 # print(traceback.format_exc())
                 print(f'Warn: trigger: "{trigger}" not found')
 
-        with ModelPatcher.apply_lora_text_encoder(
-            text_encoder_info.context.model, _lora_loader()
+        with ModelPatcher.apply_lora(
+            text_encoder_info.context.model, _lora_loader(), lora_prefix
         ), ModelPatcher.apply_ti(tokenizer_info.context.model, text_encoder_info.context.model, ti_list) as (
             tokenizer,
             ti_manager,
@@ -247,7 +247,7 @@ class SDXLPromptInvocationBase:
 
         return c, c_pooled, None
 
-    def run_clip_compel(self, context, clip_field, prompt, get_pooled):
+    def run_clip_compel(self, context, clip_field, prompt, get_pooled, lora_prefix):
         tokenizer_info = context.services.model_manager.get_model(
             **clip_field.tokenizer.dict(),
             context=context,
@@ -284,8 +284,8 @@ class SDXLPromptInvocationBase:
                 # print(traceback.format_exc())
                 print(f'Warn: trigger: "{trigger}" not found')
 
-        with ModelPatcher.apply_lora_text_encoder(
-            text_encoder_info.context.model, _lora_loader()
+        with ModelPatcher.apply_lora(
+            text_encoder_info.context.model, _lora_loader(), lora_prefix
         ), ModelPatcher.apply_ti(tokenizer_info.context.model, text_encoder_info.context.model, ti_list) as (
             tokenizer,
             ti_manager,
@@ -357,11 +357,11 @@ class SDXLCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
 
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> CompelOutput:
-        c1, c1_pooled, ec1 = self.run_clip_compel(context, self.clip, self.prompt, False)
+        c1, c1_pooled, ec1 = self.run_clip_compel(context, self.clip, self.prompt, False, "lora_te1_")
         if self.style.strip() == "":
-            c2, c2_pooled, ec2 = self.run_clip_compel(context, self.clip2, self.prompt, True)
+            c2, c2_pooled, ec2 = self.run_clip_compel(context, self.clip2, self.prompt, True, "lora_te2_")
         else:
-            c2, c2_pooled, ec2 = self.run_clip_compel(context, self.clip2, self.style, True)
+            c2, c2_pooled, ec2 = self.run_clip_compel(context, self.clip2, self.style, True, "lora_te2_")
 
         original_size = (self.original_height, self.original_width)
         crop_coords = (self.crop_top, self.crop_left)
@@ -415,7 +415,8 @@ class SDXLRefinerCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase
 
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> CompelOutput:
-        c2, c2_pooled, ec2 = self.run_clip_compel(context, self.clip2, self.style, True)
+        # TODO: if there will appear lora for refiner - write proper prefix
+        c2, c2_pooled, ec2 = self.run_clip_compel(context, self.clip2, self.style, True, "<NONE>")
 
         original_size = (self.original_height, self.original_width)
         crop_coords = (self.crop_top, self.crop_left)
@@ -467,11 +468,11 @@ class SDXLRawPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
 
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> CompelOutput:
-        c1, c1_pooled, ec1 = self.run_clip_raw(context, self.clip, self.prompt, False)
+        c1, c1_pooled, ec1 = self.run_clip_raw(context, self.clip, self.prompt, False, "lora_te1_")
         if self.style.strip() == "":
-            c2, c2_pooled, ec2 = self.run_clip_raw(context, self.clip2, self.prompt, True)
+            c2, c2_pooled, ec2 = self.run_clip_raw(context, self.clip2, self.prompt, True, "lora_te2_")
         else:
-            c2, c2_pooled, ec2 = self.run_clip_raw(context, self.clip2, self.style, True)
+            c2, c2_pooled, ec2 = self.run_clip_raw(context, self.clip2, self.style, True, "lora_te2_")
 
         original_size = (self.original_height, self.original_width)
         crop_coords = (self.crop_top, self.crop_left)
@@ -525,7 +526,8 @@ class SDXLRefinerRawPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
 
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> CompelOutput:
-        c2, c2_pooled, ec2 = self.run_clip_raw(context, self.clip2, self.style, True)
+        # TODO: if there will appear lora for refiner - write proper prefix
+        c2, c2_pooled, ec2 = self.run_clip_raw(context, self.clip2, self.style, True, "<NONE>")
 
         original_size = (self.original_height, self.original_width)
         crop_coords = (self.crop_top, self.crop_left)
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 3edbe86150..6e2e0838bc 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -14,7 +14,7 @@ from invokeai.app.invocations.metadata import CoreMetadata
 from invokeai.app.util.step_callback import stable_diffusion_step_callback
 from invokeai.backend.model_management.models import ModelType, SilenceWarnings
 
-from ...backend.model_management.lora import ModelPatcher
+from ...backend.model_management import ModelPatcher
 from ...backend.stable_diffusion import PipelineIntermediateState
 from ...backend.stable_diffusion.diffusers_pipeline import (
     ConditioningData,
diff --git a/invokeai/app/invocations/model.py b/invokeai/app/invocations/model.py
index c19e5c5c9a..d215d500a6 100644
--- a/invokeai/app/invocations/model.py
+++ b/invokeai/app/invocations/model.py
@@ -262,6 +262,103 @@ class LoraLoaderInvocation(BaseInvocation):
         return output
 
 
+class SDXLLoraLoaderOutput(BaseInvocationOutput):
+    """Model loader output"""
+
+    # fmt: off
+    type: Literal["sdxl_lora_loader_output"] = "sdxl_lora_loader_output"
+
+    unet: Optional[UNetField] = Field(default=None, description="UNet submodel")
+    clip: Optional[ClipField] = Field(default=None, description="Tokenizer and text_encoder submodels")
+    clip2: Optional[ClipField] = Field(default=None, description="Tokenizer2 and text_encoder2 submodels")
+    # fmt: on
+
+
+class SDXLLoraLoaderInvocation(BaseInvocation):
+    """Apply selected lora to unet and text_encoder."""
+
+    type: Literal["sdxl_lora_loader"] = "sdxl_lora_loader"
+
+    lora: Union[LoRAModelField, None] = Field(default=None, description="Lora model name")
+    weight: float = Field(default=0.75, description="With what weight to apply lora")
+
+    unet: Optional[UNetField] = Field(description="UNet model for applying lora")
+    clip: Optional[ClipField] = Field(description="Clip model for applying lora")
+    clip2: Optional[ClipField] = Field(description="Clip2 model for applying lora")
+
+    class Config(InvocationConfig):
+        schema_extra = {
+            "ui": {
+                "title": "SDXL Lora Loader",
+                "tags": ["lora", "loader"],
+                "type_hints": {"lora": "lora_model"},
+            },
+        }
+
+    def invoke(self, context: InvocationContext) -> SDXLLoraLoaderOutput:
+        if self.lora is None:
+            raise Exception("No LoRA provided")
+
+        base_model = self.lora.base_model
+        lora_name = self.lora.model_name
+
+        if not context.services.model_manager.model_exists(
+            base_model=base_model,
+            model_name=lora_name,
+            model_type=ModelType.Lora,
+        ):
+            raise Exception(f"Unkown lora name: {lora_name}!")
+
+        if self.unet is not None and any(lora.model_name == lora_name for lora in self.unet.loras):
+            raise Exception(f'Lora "{lora_name}" already applied to unet')
+
+        if self.clip is not None and any(lora.model_name == lora_name for lora in self.clip.loras):
+            raise Exception(f'Lora "{lora_name}" already applied to clip')
+
+        if self.clip2 is not None and any(lora.model_name == lora_name for lora in self.clip2.loras):
+            raise Exception(f'Lora "{lora_name}" already applied to clip2')
+
+        output = SDXLLoraLoaderOutput()
+
+        if self.unet is not None:
+            output.unet = copy.deepcopy(self.unet)
+            output.unet.loras.append(
+                LoraInfo(
+                    base_model=base_model,
+                    model_name=lora_name,
+                    model_type=ModelType.Lora,
+                    submodel=None,
+                    weight=self.weight,
+                )
+            )
+
+        if self.clip is not None:
+            output.clip = copy.deepcopy(self.clip)
+            output.clip.loras.append(
+                LoraInfo(
+                    base_model=base_model,
+                    model_name=lora_name,
+                    model_type=ModelType.Lora,
+                    submodel=None,
+                    weight=self.weight,
+                )
+            )
+
+        if self.clip2 is not None:
+            output.clip2 = copy.deepcopy(self.clip2)
+            output.clip2.loras.append(
+                LoraInfo(
+                    base_model=base_model,
+                    model_name=lora_name,
+                    model_type=ModelType.Lora,
+                    submodel=None,
+                    weight=self.weight,
+                )
+            )
+
+        return output
+
+
 class VAEModelField(BaseModel):
     """Vae model field"""
 
diff --git a/invokeai/app/invocations/sdxl.py b/invokeai/app/invocations/sdxl.py
index 7dfceba853..faa6b59782 100644
--- a/invokeai/app/invocations/sdxl.py
+++ b/invokeai/app/invocations/sdxl.py
@@ -5,7 +5,7 @@ from typing import List, Literal, Optional, Union
 
 from pydantic import Field, validator
 
-from ...backend.model_management import ModelType, SubModelType
+from ...backend.model_management import ModelType, SubModelType, ModelPatcher
 from invokeai.app.util.step_callback import stable_diffusion_xl_step_callback
 from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext
 
@@ -293,10 +293,22 @@ class SDXLTextToLatentsInvocation(BaseInvocation):
 
         num_inference_steps = self.steps
 
+        def _lora_loader():
+            for lora in self.unet.loras:
+                lora_info = context.services.model_manager.get_model(
+                    **lora.dict(exclude={"weight"}),
+                    context=context,
+                )
+                yield (lora_info.context.model, lora.weight)
+                del lora_info
+            return
+
         unet_info = context.services.model_manager.get_model(**self.unet.unet.dict(), context=context)
         do_classifier_free_guidance = True
         cross_attention_kwargs = None
-        with unet_info as unet:
+        with ModelPatcher.apply_lora_unet(unet_info.context.model, _lora_loader()),\
+            unet_info as unet:
+
             scheduler.set_timesteps(num_inference_steps, device=unet.device)
             timesteps = scheduler.timesteps
 
diff --git a/invokeai/backend/model_management/__init__.py b/invokeai/backend/model_management/__init__.py
index cf057f3a89..8e083c1045 100644
--- a/invokeai/backend/model_management/__init__.py
+++ b/invokeai/backend/model_management/__init__.py
@@ -13,3 +13,4 @@ from .models import (
     DuplicateModelException,
 )
 from .model_merge import ModelMerger, MergeInterpolationMethod
+from .lora import ModelPatcher
diff --git a/invokeai/backend/model_management/lora.py b/invokeai/backend/model_management/lora.py
index 4287072a65..56f7a648c9 100644
--- a/invokeai/backend/model_management/lora.py
+++ b/invokeai/backend/model_management/lora.py
@@ -23,421 +23,6 @@ from transformers import CLIPTextModel, CLIPTokenizer
 # TODO: rename and split this file
 
 
-class LoRALayerBase:
-    # rank: Optional[int]
-    # alpha: Optional[float]
-    # bias: Optional[torch.Tensor]
-    # layer_key: str
-
-    # @property
-    # def scale(self):
-    #    return self.alpha / self.rank if (self.alpha and self.rank) else 1.0
-
-    def __init__(
-        self,
-        layer_key: str,
-        values: dict,
-    ):
-        if "alpha" in values:
-            self.alpha = values["alpha"].item()
-        else:
-            self.alpha = None
-
-        if "bias_indices" in values and "bias_values" in values and "bias_size" in values:
-            self.bias = torch.sparse_coo_tensor(
-                values["bias_indices"],
-                values["bias_values"],
-                tuple(values["bias_size"]),
-            )
-
-        else:
-            self.bias = None
-
-        self.rank = None  # set in layer implementation
-        self.layer_key = layer_key
-
-    def forward(
-        self,
-        module: torch.nn.Module,
-        input_h: Any,  # for real looks like Tuple[torch.nn.Tensor] but not sure
-        multiplier: float,
-    ):
-        if type(module) == torch.nn.Conv2d:
-            op = torch.nn.functional.conv2d
-            extra_args = dict(
-                stride=module.stride,
-                padding=module.padding,
-                dilation=module.dilation,
-                groups=module.groups,
-            )
-
-        else:
-            op = torch.nn.functional.linear
-            extra_args = {}
-
-        weight = self.get_weight()
-
-        bias = self.bias if self.bias is not None else 0
-        scale = self.alpha / self.rank if (self.alpha and self.rank) else 1.0
-        return (
-            op(
-                *input_h,
-                (weight + bias).view(module.weight.shape),
-                None,
-                **extra_args,
-            )
-            * multiplier
-            * scale
-        )
-
-    def get_weight(self):
-        raise NotImplementedError()
-
-    def calc_size(self) -> int:
-        model_size = 0
-        for val in [self.bias]:
-            if val is not None:
-                model_size += val.nelement() * val.element_size()
-        return model_size
-
-    def to(
-        self,
-        device: Optional[torch.device] = None,
-        dtype: Optional[torch.dtype] = None,
-    ):
-        if self.bias is not None:
-            self.bias = self.bias.to(device=device, dtype=dtype)
-
-
-# TODO: find and debug lora/locon with bias
-class LoRALayer(LoRALayerBase):
-    # up: torch.Tensor
-    # mid: Optional[torch.Tensor]
-    # down: torch.Tensor
-
-    def __init__(
-        self,
-        layer_key: str,
-        values: dict,
-    ):
-        super().__init__(layer_key, values)
-
-        self.up = values["lora_up.weight"]
-        self.down = values["lora_down.weight"]
-        if "lora_mid.weight" in values:
-            self.mid = values["lora_mid.weight"]
-        else:
-            self.mid = None
-
-        self.rank = self.down.shape[0]
-
-    def get_weight(self):
-        if self.mid is not None:
-            up = self.up.reshape(self.up.shape[0], self.up.shape[1])
-            down = self.down.reshape(self.down.shape[0], self.down.shape[1])
-            weight = torch.einsum("m n w h, i m, n j -> i j w h", self.mid, up, down)
-        else:
-            weight = self.up.reshape(self.up.shape[0], -1) @ self.down.reshape(self.down.shape[0], -1)
-
-        return weight
-
-    def calc_size(self) -> int:
-        model_size = super().calc_size()
-        for val in [self.up, self.mid, self.down]:
-            if val is not None:
-                model_size += val.nelement() * val.element_size()
-        return model_size
-
-    def to(
-        self,
-        device: Optional[torch.device] = None,
-        dtype: Optional[torch.dtype] = None,
-    ):
-        super().to(device=device, dtype=dtype)
-
-        self.up = self.up.to(device=device, dtype=dtype)
-        self.down = self.down.to(device=device, dtype=dtype)
-
-        if self.mid is not None:
-            self.mid = self.mid.to(device=device, dtype=dtype)
-
-
-class LoHALayer(LoRALayerBase):
-    # w1_a: torch.Tensor
-    # w1_b: torch.Tensor
-    # w2_a: torch.Tensor
-    # w2_b: torch.Tensor
-    # t1: Optional[torch.Tensor] = None
-    # t2: Optional[torch.Tensor] = None
-
-    def __init__(
-        self,
-        layer_key: str,
-        values: dict,
-    ):
-        super().__init__(layer_key, values)
-
-        self.w1_a = values["hada_w1_a"]
-        self.w1_b = values["hada_w1_b"]
-        self.w2_a = values["hada_w2_a"]
-        self.w2_b = values["hada_w2_b"]
-
-        if "hada_t1" in values:
-            self.t1 = values["hada_t1"]
-        else:
-            self.t1 = None
-
-        if "hada_t2" in values:
-            self.t2 = values["hada_t2"]
-        else:
-            self.t2 = None
-
-        self.rank = self.w1_b.shape[0]
-
-    def get_weight(self):
-        if self.t1 is None:
-            weight = (self.w1_a @ self.w1_b) * (self.w2_a @ self.w2_b)
-
-        else:
-            rebuild1 = torch.einsum("i j k l, j r, i p -> p r k l", self.t1, self.w1_b, self.w1_a)
-            rebuild2 = torch.einsum("i j k l, j r, i p -> p r k l", self.t2, self.w2_b, self.w2_a)
-            weight = rebuild1 * rebuild2
-
-        return weight
-
-    def calc_size(self) -> int:
-        model_size = super().calc_size()
-        for val in [self.w1_a, self.w1_b, self.w2_a, self.w2_b, self.t1, self.t2]:
-            if val is not None:
-                model_size += val.nelement() * val.element_size()
-        return model_size
-
-    def to(
-        self,
-        device: Optional[torch.device] = None,
-        dtype: Optional[torch.dtype] = None,
-    ):
-        super().to(device=device, dtype=dtype)
-
-        self.w1_a = self.w1_a.to(device=device, dtype=dtype)
-        self.w1_b = self.w1_b.to(device=device, dtype=dtype)
-        if self.t1 is not None:
-            self.t1 = self.t1.to(device=device, dtype=dtype)
-
-        self.w2_a = self.w2_a.to(device=device, dtype=dtype)
-        self.w2_b = self.w2_b.to(device=device, dtype=dtype)
-        if self.t2 is not None:
-            self.t2 = self.t2.to(device=device, dtype=dtype)
-
-
-class LoKRLayer(LoRALayerBase):
-    # w1: Optional[torch.Tensor] = None
-    # w1_a: Optional[torch.Tensor] = None
-    # w1_b: Optional[torch.Tensor] = None
-    # w2: Optional[torch.Tensor] = None
-    # w2_a: Optional[torch.Tensor] = None
-    # w2_b: Optional[torch.Tensor] = None
-    # t2: Optional[torch.Tensor] = None
-
-    def __init__(
-        self,
-        layer_key: str,
-        values: dict,
-    ):
-        super().__init__(layer_key, values)
-
-        if "lokr_w1" in values:
-            self.w1 = values["lokr_w1"]
-            self.w1_a = None
-            self.w1_b = None
-        else:
-            self.w1 = None
-            self.w1_a = values["lokr_w1_a"]
-            self.w1_b = values["lokr_w1_b"]
-
-        if "lokr_w2" in values:
-            self.w2 = values["lokr_w2"]
-            self.w2_a = None
-            self.w2_b = None
-        else:
-            self.w2 = None
-            self.w2_a = values["lokr_w2_a"]
-            self.w2_b = values["lokr_w2_b"]
-
-        if "lokr_t2" in values:
-            self.t2 = values["lokr_t2"]
-        else:
-            self.t2 = None
-
-        if "lokr_w1_b" in values:
-            self.rank = values["lokr_w1_b"].shape[0]
-        elif "lokr_w2_b" in values:
-            self.rank = values["lokr_w2_b"].shape[0]
-        else:
-            self.rank = None  # unscaled
-
-    def get_weight(self):
-        w1 = self.w1
-        if w1 is None:
-            w1 = self.w1_a @ self.w1_b
-
-        w2 = self.w2
-        if w2 is None:
-            if self.t2 is None:
-                w2 = self.w2_a @ self.w2_b
-            else:
-                w2 = torch.einsum("i j k l, i p, j r -> p r k l", self.t2, self.w2_a, self.w2_b)
-
-        if len(w2.shape) == 4:
-            w1 = w1.unsqueeze(2).unsqueeze(2)
-        w2 = w2.contiguous()
-        weight = torch.kron(w1, w2)
-
-        return weight
-
-    def calc_size(self) -> int:
-        model_size = super().calc_size()
-        for val in [self.w1, self.w1_a, self.w1_b, self.w2, self.w2_a, self.w2_b, self.t2]:
-            if val is not None:
-                model_size += val.nelement() * val.element_size()
-        return model_size
-
-    def to(
-        self,
-        device: Optional[torch.device] = None,
-        dtype: Optional[torch.dtype] = None,
-    ):
-        super().to(device=device, dtype=dtype)
-
-        if self.w1 is not None:
-            self.w1 = self.w1.to(device=device, dtype=dtype)
-        else:
-            self.w1_a = self.w1_a.to(device=device, dtype=dtype)
-            self.w1_b = self.w1_b.to(device=device, dtype=dtype)
-
-        if self.w2 is not None:
-            self.w2 = self.w2.to(device=device, dtype=dtype)
-        else:
-            self.w2_a = self.w2_a.to(device=device, dtype=dtype)
-            self.w2_b = self.w2_b.to(device=device, dtype=dtype)
-
-        if self.t2 is not None:
-            self.t2 = self.t2.to(device=device, dtype=dtype)
-
-
-class LoRAModel:  # (torch.nn.Module):
-    _name: str
-    layers: Dict[str, LoRALayer]
-    _device: torch.device
-    _dtype: torch.dtype
-
-    def __init__(
-        self,
-        name: str,
-        layers: Dict[str, LoRALayer],
-        device: torch.device,
-        dtype: torch.dtype,
-    ):
-        self._name = name
-        self._device = device or torch.cpu
-        self._dtype = dtype or torch.float32
-        self.layers = layers
-
-    @property
-    def name(self):
-        return self._name
-
-    @property
-    def device(self):
-        return self._device
-
-    @property
-    def dtype(self):
-        return self._dtype
-
-    def to(
-        self,
-        device: Optional[torch.device] = None,
-        dtype: Optional[torch.dtype] = None,
-    ) -> LoRAModel:
-        # TODO: try revert if exception?
-        for key, layer in self.layers.items():
-            layer.to(device=device, dtype=dtype)
-        self._device = device
-        self._dtype = dtype
-
-    def calc_size(self) -> int:
-        model_size = 0
-        for _, layer in self.layers.items():
-            model_size += layer.calc_size()
-        return model_size
-
-    @classmethod
-    def from_checkpoint(
-        cls,
-        file_path: Union[str, Path],
-        device: Optional[torch.device] = None,
-        dtype: Optional[torch.dtype] = None,
-    ):
-        device = device or torch.device("cpu")
-        dtype = dtype or torch.float32
-
-        if isinstance(file_path, str):
-            file_path = Path(file_path)
-
-        model = cls(
-            device=device,
-            dtype=dtype,
-            name=file_path.stem,  # TODO:
-            layers=dict(),
-        )
-
-        if file_path.suffix == ".safetensors":
-            state_dict = load_file(file_path.absolute().as_posix(), device="cpu")
-        else:
-            state_dict = torch.load(file_path, map_location="cpu")
-
-        state_dict = cls._group_state(state_dict)
-
-        for layer_key, values in state_dict.items():
-            # lora and locon
-            if "lora_down.weight" in values:
-                layer = LoRALayer(layer_key, values)
-
-            # loha
-            elif "hada_w1_b" in values:
-                layer = LoHALayer(layer_key, values)
-
-            # lokr
-            elif "lokr_w1_b" in values or "lokr_w1" in values:
-                layer = LoKRLayer(layer_key, values)
-
-            else:
-                # TODO: diff/ia3/... format
-                print(f">> Encountered unknown lora layer module in {model.name}: {layer_key}")
-                return
-
-            # lower memory consumption by removing already parsed layer values
-            state_dict[layer_key].clear()
-
-            layer.to(device=device, dtype=dtype)
-            model.layers[layer_key] = layer
-
-        return model
-
-    @staticmethod
-    def _group_state(state_dict: dict):
-        state_dict_groupped = dict()
-
-        for key, value in state_dict.items():
-            stem, leaf = key.split(".", 1)
-            if stem not in state_dict_groupped:
-                state_dict_groupped[stem] = dict()
-            state_dict_groupped[stem][leaf] = value
-
-        return state_dict_groupped
-
-
 """
 loras = [
     (lora_model1, 0.7),
@@ -516,6 +101,27 @@ class ModelPatcher:
         with cls.apply_lora(text_encoder, loras, "lora_te_"):
             yield
 
+
+    @classmethod
+    @contextmanager
+    def apply_sdxl_lora_text_encoder(
+        cls,
+        text_encoder: CLIPTextModel,
+        loras: List[Tuple[LoRAModel, float]],
+    ):
+        with cls.apply_lora(text_encoder, loras, "lora_te1_"):
+            yield
+
+    @classmethod
+    @contextmanager
+    def apply_sdxl_lora_text_encoder2(
+        cls,
+        text_encoder: CLIPTextModel,
+        loras: List[Tuple[LoRAModel, float]],
+    ):
+        with cls.apply_lora(text_encoder, loras, "lora_te2_"):
+            yield
+
     @classmethod
     @contextmanager
     def apply_lora(
diff --git a/invokeai/backend/model_management/model_cache.py b/invokeai/backend/model_management/model_cache.py
index b4c3e48a48..71e1ebc0d4 100644
--- a/invokeai/backend/model_management/model_cache.py
+++ b/invokeai/backend/model_management/model_cache.py
@@ -28,8 +28,6 @@ import torch
 
 import logging
 import invokeai.backend.util.logging as logger
-from invokeai.app.services.config import get_invokeai_config
-from .lora import LoRAModel, TextualInversionModel
 from .models import BaseModelType, ModelType, SubModelType, ModelBase
 
 # Maximum size of the cache, in gigs
diff --git a/invokeai/backend/model_management/models/lora.py b/invokeai/backend/model_management/models/lora.py
index 642f8bbeec..0351bf2652 100644
--- a/invokeai/backend/model_management/models/lora.py
+++ b/invokeai/backend/model_management/models/lora.py
@@ -1,7 +1,9 @@
 import os
 import torch
 from enum import Enum
-from typing import Optional, Union, Literal
+from typing import Optional, Dict, Union, Literal, Any
+from pathlib import Path
+from safetensors.torch import load_file
 from .base import (
     ModelBase,
     ModelConfigBase,
@@ -13,9 +15,6 @@ from .base import (
     ModelNotFoundException,
 )
 
-# TODO: naming
-from ..lora import LoRAModel as LoRAModelRaw
-
 
 class LoRAModelFormat(str, Enum):
     LyCORIS = "lycoris"
@@ -50,6 +49,7 @@ class LoRAModel(ModelBase):
         model = LoRAModelRaw.from_checkpoint(
             file_path=self.model_path,
             dtype=torch_dtype,
+            base_model=self.base_model,
         )
 
         self.model_size = model.calc_size()
@@ -87,3 +87,532 @@ class LoRAModel(ModelBase):
             raise NotImplementedError("Diffusers lora not supported")
         else:
             return model_path
+
+class LoRALayerBase:
+    # rank: Optional[int]
+    # alpha: Optional[float]
+    # bias: Optional[torch.Tensor]
+    # layer_key: str
+
+    # @property
+    # def scale(self):
+    #    return self.alpha / self.rank if (self.alpha and self.rank) else 1.0
+
+    def __init__(
+        self,
+        layer_key: str,
+        values: dict,
+    ):
+        if "alpha" in values:
+            self.alpha = values["alpha"].item()
+        else:
+            self.alpha = None
+
+        if "bias_indices" in values and "bias_values" in values and "bias_size" in values:
+            self.bias = torch.sparse_coo_tensor(
+                values["bias_indices"],
+                values["bias_values"],
+                tuple(values["bias_size"]),
+            )
+
+        else:
+            self.bias = None
+
+        self.rank = None  # set in layer implementation
+        self.layer_key = layer_key
+
+    def forward(
+        self,
+        module: torch.nn.Module,
+        input_h: Any,  # for real looks like Tuple[torch.nn.Tensor] but not sure
+        multiplier: float,
+    ):
+        if type(module) == torch.nn.Conv2d:
+            op = torch.nn.functional.conv2d
+            extra_args = dict(
+                stride=module.stride,
+                padding=module.padding,
+                dilation=module.dilation,
+                groups=module.groups,
+            )
+
+        else:
+            op = torch.nn.functional.linear
+            extra_args = {}
+
+        weight = self.get_weight()
+
+        bias = self.bias if self.bias is not None else 0
+        scale = self.alpha / self.rank if (self.alpha and self.rank) else 1.0
+        return (
+            op(
+                *input_h,
+                (weight + bias).view(module.weight.shape),
+                None,
+                **extra_args,
+            )
+            * multiplier
+            * scale
+        )
+
+    def get_weight(self):
+        raise NotImplementedError()
+
+    def calc_size(self) -> int:
+        model_size = 0
+        for val in [self.bias]:
+            if val is not None:
+                model_size += val.nelement() * val.element_size()
+        return model_size
+
+    def to(
+        self,
+        device: Optional[torch.device] = None,
+        dtype: Optional[torch.dtype] = None,
+    ):
+        if self.bias is not None:
+            self.bias = self.bias.to(device=device, dtype=dtype)
+
+# TODO: find and debug lora/locon with bias
+class LoRALayer(LoRALayerBase):
+    # up: torch.Tensor
+    # mid: Optional[torch.Tensor]
+    # down: torch.Tensor
+
+    def __init__(
+        self,
+        layer_key: str,
+        values: dict,
+    ):
+        super().__init__(layer_key, values)
+
+        self.up = values["lora_up.weight"]
+        self.down = values["lora_down.weight"]
+        if "lora_mid.weight" in values:
+            self.mid = values["lora_mid.weight"]
+        else:
+            self.mid = None
+
+        self.rank = self.down.shape[0]
+
+    def get_weight(self):
+        if self.mid is not None:
+            up = self.up.reshape(self.up.shape[0], self.up.shape[1])
+            down = self.down.reshape(self.down.shape[0], self.down.shape[1])
+            weight = torch.einsum("m n w h, i m, n j -> i j w h", self.mid, up, down)
+        else:
+            weight = self.up.reshape(self.up.shape[0], -1) @ self.down.reshape(self.down.shape[0], -1)
+
+        return weight
+
+    def calc_size(self) -> int:
+        model_size = super().calc_size()
+        for val in [self.up, self.mid, self.down]:
+            if val is not None:
+                model_size += val.nelement() * val.element_size()
+        return model_size
+
+    def to(
+        self,
+        device: Optional[torch.device] = None,
+        dtype: Optional[torch.dtype] = None,
+    ):
+        super().to(device=device, dtype=dtype)
+
+        self.up = self.up.to(device=device, dtype=dtype)
+        self.down = self.down.to(device=device, dtype=dtype)
+
+        if self.mid is not None:
+            self.mid = self.mid.to(device=device, dtype=dtype)
+
+class LoHALayer(LoRALayerBase):
+    # w1_a: torch.Tensor
+    # w1_b: torch.Tensor
+    # w2_a: torch.Tensor
+    # w2_b: torch.Tensor
+    # t1: Optional[torch.Tensor] = None
+    # t2: Optional[torch.Tensor] = None
+
+    def __init__(
+        self,
+        layer_key: str,
+        values: dict,
+    ):
+        super().__init__(layer_key, values)
+
+        self.w1_a = values["hada_w1_a"]
+        self.w1_b = values["hada_w1_b"]
+        self.w2_a = values["hada_w2_a"]
+        self.w2_b = values["hada_w2_b"]
+
+        if "hada_t1" in values:
+            self.t1 = values["hada_t1"]
+        else:
+            self.t1 = None
+
+        if "hada_t2" in values:
+            self.t2 = values["hada_t2"]
+        else:
+            self.t2 = None
+
+        self.rank = self.w1_b.shape[0]
+
+    def get_weight(self):
+        if self.t1 is None:
+            weight = (self.w1_a @ self.w1_b) * (self.w2_a @ self.w2_b)
+
+        else:
+            rebuild1 = torch.einsum("i j k l, j r, i p -> p r k l", self.t1, self.w1_b, self.w1_a)
+            rebuild2 = torch.einsum("i j k l, j r, i p -> p r k l", self.t2, self.w2_b, self.w2_a)
+            weight = rebuild1 * rebuild2
+
+        return weight
+
+    def calc_size(self) -> int:
+        model_size = super().calc_size()
+        for val in [self.w1_a, self.w1_b, self.w2_a, self.w2_b, self.t1, self.t2]:
+            if val is not None:
+                model_size += val.nelement() * val.element_size()
+        return model_size
+
+    def to(
+        self,
+        device: Optional[torch.device] = None,
+        dtype: Optional[torch.dtype] = None,
+    ):
+        super().to(device=device, dtype=dtype)
+
+        self.w1_a = self.w1_a.to(device=device, dtype=dtype)
+        self.w1_b = self.w1_b.to(device=device, dtype=dtype)
+        if self.t1 is not None:
+            self.t1 = self.t1.to(device=device, dtype=dtype)
+
+        self.w2_a = self.w2_a.to(device=device, dtype=dtype)
+        self.w2_b = self.w2_b.to(device=device, dtype=dtype)
+        if self.t2 is not None:
+            self.t2 = self.t2.to(device=device, dtype=dtype)
+
+class LoKRLayer(LoRALayerBase):
+    # w1: Optional[torch.Tensor] = None
+    # w1_a: Optional[torch.Tensor] = None
+    # w1_b: Optional[torch.Tensor] = None
+    # w2: Optional[torch.Tensor] = None
+    # w2_a: Optional[torch.Tensor] = None
+    # w2_b: Optional[torch.Tensor] = None
+    # t2: Optional[torch.Tensor] = None
+
+    def __init__(
+        self,
+        layer_key: str,
+        values: dict,
+    ):
+        super().__init__(layer_key, values)
+
+        if "lokr_w1" in values:
+            self.w1 = values["lokr_w1"]
+            self.w1_a = None
+            self.w1_b = None
+        else:
+            self.w1 = None
+            self.w1_a = values["lokr_w1_a"]
+            self.w1_b = values["lokr_w1_b"]
+
+        if "lokr_w2" in values:
+            self.w2 = values["lokr_w2"]
+            self.w2_a = None
+            self.w2_b = None
+        else:
+            self.w2 = None
+            self.w2_a = values["lokr_w2_a"]
+            self.w2_b = values["lokr_w2_b"]
+
+        if "lokr_t2" in values:
+            self.t2 = values["lokr_t2"]
+        else:
+            self.t2 = None
+
+        if "lokr_w1_b" in values:
+            self.rank = values["lokr_w1_b"].shape[0]
+        elif "lokr_w2_b" in values:
+            self.rank = values["lokr_w2_b"].shape[0]
+        else:
+            self.rank = None  # unscaled
+
+    def get_weight(self):
+        w1 = self.w1
+        if w1 is None:
+            w1 = self.w1_a @ self.w1_b
+
+        w2 = self.w2
+        if w2 is None:
+            if self.t2 is None:
+                w2 = self.w2_a @ self.w2_b
+            else:
+                w2 = torch.einsum("i j k l, i p, j r -> p r k l", self.t2, self.w2_a, self.w2_b)
+
+        if len(w2.shape) == 4:
+            w1 = w1.unsqueeze(2).unsqueeze(2)
+        w2 = w2.contiguous()
+        weight = torch.kron(w1, w2)
+
+        return weight
+
+    def calc_size(self) -> int:
+        model_size = super().calc_size()
+        for val in [self.w1, self.w1_a, self.w1_b, self.w2, self.w2_a, self.w2_b, self.t2]:
+            if val is not None:
+                model_size += val.nelement() * val.element_size()
+        return model_size
+
+    def to(
+        self,
+        device: Optional[torch.device] = None,
+        dtype: Optional[torch.dtype] = None,
+    ):
+        super().to(device=device, dtype=dtype)
+
+        if self.w1 is not None:
+            self.w1 = self.w1.to(device=device, dtype=dtype)
+        else:
+            self.w1_a = self.w1_a.to(device=device, dtype=dtype)
+            self.w1_b = self.w1_b.to(device=device, dtype=dtype)
+
+        if self.w2 is not None:
+            self.w2 = self.w2.to(device=device, dtype=dtype)
+        else:
+            self.w2_a = self.w2_a.to(device=device, dtype=dtype)
+            self.w2_b = self.w2_b.to(device=device, dtype=dtype)
+
+        if self.t2 is not None:
+            self.t2 = self.t2.to(device=device, dtype=dtype)
+
+# TODO: rename all methods used in model logic with Info postfix and remove here Raw postfix
+class LoRAModelRaw:  # (torch.nn.Module):
+    _name: str
+    layers: Dict[str, LoRALayer]
+    _device: torch.device
+    _dtype: torch.dtype
+
+    def __init__(
+        self,
+        name: str,
+        layers: Dict[str, LoRALayer],
+        device: torch.device,
+        dtype: torch.dtype,
+    ):
+        self._name = name
+        self._device = device or torch.cpu
+        self._dtype = dtype or torch.float32
+        self.layers = layers
+
+    @property
+    def name(self):
+        return self._name
+
+    @property
+    def device(self):
+        return self._device
+
+    @property
+    def dtype(self):
+        return self._dtype
+
+    def to(
+        self,
+        device: Optional[torch.device] = None,
+        dtype: Optional[torch.dtype] = None,
+    ):
+        # TODO: try revert if exception?
+        for key, layer in self.layers.items():
+            layer.to(device=device, dtype=dtype)
+        self._device = device
+        self._dtype = dtype
+
+    def calc_size(self) -> int:
+        model_size = 0
+        for _, layer in self.layers.items():
+            model_size += layer.calc_size()
+        return model_size
+
+    @classmethod
+    def _convert_sdxl_compvis_keys(cls, state_dict):
+        new_state_dict = dict()
+        for full_key, value in state_dict.items():
+            if full_key.startswith("lora_te1_") or full_key.startswith("lora_te2_"):
+                continue # clip same
+
+            if not full_key.startswith("lora_unet_"):
+                raise NotImplementedError(f"Unknown prefix for sdxl lora key - {full_key}")
+            src_key = full_key.replace("lora_unet_", "")
+            try:
+                dst_key = None
+                while "_" in src_key:
+                    if src_key in SDXL_UNET_COMPVIS_MAP:
+                        dst_key = SDXL_UNET_COMPVIS_MAP[src_key]
+                        break
+                    src_key = "_".join(src_key.split('_')[:-1])
+
+                if dst_key is None:
+                    raise Exception(f"Unknown sdxl lora key - {full_key}")
+                new_key = full_key.replace(src_key, dst_key)
+            except:
+                print(SDXL_UNET_COMPVIS_MAP)
+                raise
+            new_state_dict[new_key] = value
+        return new_state_dict
+
+    @classmethod
+    def from_checkpoint(
+        cls,
+        file_path: Union[str, Path],
+        device: Optional[torch.device] = None,
+        dtype: Optional[torch.dtype] = None,
+        base_model: Optional[BaseModelType] = None,
+    ):
+        device = device or torch.device("cpu")
+        dtype = dtype or torch.float32
+
+        if isinstance(file_path, str):
+            file_path = Path(file_path)
+
+        model = cls(
+            device=device,
+            dtype=dtype,
+            name=file_path.stem,  # TODO:
+            layers=dict(),
+        )
+
+        if file_path.suffix == ".safetensors":
+            state_dict = load_file(file_path.absolute().as_posix(), device="cpu")
+        else:
+            state_dict = torch.load(file_path, map_location="cpu")
+
+        state_dict = cls._group_state(state_dict)
+
+        if base_model == BaseModelType.StableDiffusionXL:
+            state_dict = cls._convert_sdxl_compvis_keys(state_dict)
+
+        for layer_key, values in state_dict.items():
+            # lora and locon
+            if "lora_down.weight" in values:
+                layer = LoRALayer(layer_key, values)
+
+            # loha
+            elif "hada_w1_b" in values:
+                layer = LoHALayer(layer_key, values)
+
+            # lokr
+            elif "lokr_w1_b" in values or "lokr_w1" in values:
+                layer = LoKRLayer(layer_key, values)
+
+            else:
+                # TODO: diff/ia3/... format
+                print(f">> Encountered unknown lora layer module in {model.name}: {layer_key}")
+                return
+
+            # lower memory consumption by removing already parsed layer values
+            state_dict[layer_key].clear()
+
+            layer.to(device=device, dtype=dtype)
+            model.layers[layer_key] = layer
+
+        return model
+
+    @staticmethod
+    def _group_state(state_dict: dict):
+        state_dict_groupped = dict()
+
+        for key, value in state_dict.items():
+            stem, leaf = key.split(".", 1)
+            if stem not in state_dict_groupped:
+                state_dict_groupped[stem] = dict()
+            state_dict_groupped[stem][leaf] = value
+
+        return state_dict_groupped
+
+
+def make_sdxl_unet_conversion_map():
+    unet_conversion_map_layer = []
+
+    for i in range(3):  # num_blocks is 3 in sdxl
+        # loop over downblocks/upblocks
+        for j in range(2):
+            # loop over resnets/attentions for downblocks
+            hf_down_res_prefix = f"down_blocks.{i}.resnets.{j}."
+            sd_down_res_prefix = f"input_blocks.{3*i + j + 1}.0."
+            unet_conversion_map_layer.append((sd_down_res_prefix, hf_down_res_prefix))
+
+            if i < 3:
+                # no attention layers in down_blocks.3
+                hf_down_atn_prefix = f"down_blocks.{i}.attentions.{j}."
+                sd_down_atn_prefix = f"input_blocks.{3*i + j + 1}.1."
+                unet_conversion_map_layer.append((sd_down_atn_prefix, hf_down_atn_prefix))
+
+        for j in range(3):
+            # loop over resnets/attentions for upblocks
+            hf_up_res_prefix = f"up_blocks.{i}.resnets.{j}."
+            sd_up_res_prefix = f"output_blocks.{3*i + j}.0."
+            unet_conversion_map_layer.append((sd_up_res_prefix, hf_up_res_prefix))
+
+            # if i > 0: commentout for sdxl
+            # no attention layers in up_blocks.0
+            hf_up_atn_prefix = f"up_blocks.{i}.attentions.{j}."
+            sd_up_atn_prefix = f"output_blocks.{3*i + j}.1."
+            unet_conversion_map_layer.append((sd_up_atn_prefix, hf_up_atn_prefix))
+
+        if i < 3:
+            # no downsample in down_blocks.3
+            hf_downsample_prefix = f"down_blocks.{i}.downsamplers.0.conv."
+            sd_downsample_prefix = f"input_blocks.{3*(i+1)}.0.op."
+            unet_conversion_map_layer.append((sd_downsample_prefix, hf_downsample_prefix))
+
+            # no upsample in up_blocks.3
+            hf_upsample_prefix = f"up_blocks.{i}.upsamplers.0."
+            sd_upsample_prefix = f"output_blocks.{3*i + 2}.{2}."  # change for sdxl
+            unet_conversion_map_layer.append((sd_upsample_prefix, hf_upsample_prefix))
+
+    hf_mid_atn_prefix = "mid_block.attentions.0."
+    sd_mid_atn_prefix = "middle_block.1."
+    unet_conversion_map_layer.append((sd_mid_atn_prefix, hf_mid_atn_prefix))
+
+    for j in range(2):
+        hf_mid_res_prefix = f"mid_block.resnets.{j}."
+        sd_mid_res_prefix = f"middle_block.{2*j}."
+        unet_conversion_map_layer.append((sd_mid_res_prefix, hf_mid_res_prefix))
+
+    unet_conversion_map_resnet = [
+        # (stable-diffusion, HF Diffusers)
+        ("in_layers.0.", "norm1."),
+        ("in_layers.2.", "conv1."),
+        ("out_layers.0.", "norm2."),
+        ("out_layers.3.", "conv2."),
+        ("emb_layers.1.", "time_emb_proj."),
+        ("skip_connection.", "conv_shortcut."),
+    ]
+
+    unet_conversion_map = []
+    for sd, hf in unet_conversion_map_layer:
+        if "resnets" in hf:
+            for sd_res, hf_res in unet_conversion_map_resnet:
+                unet_conversion_map.append((sd + sd_res, hf + hf_res))
+        else:
+            unet_conversion_map.append((sd, hf))
+
+    for j in range(2):
+        hf_time_embed_prefix = f"time_embedding.linear_{j+1}."
+        sd_time_embed_prefix = f"time_embed.{j*2}."
+        unet_conversion_map.append((sd_time_embed_prefix, hf_time_embed_prefix))
+
+    for j in range(2):
+        hf_label_embed_prefix = f"add_embedding.linear_{j+1}."
+        sd_label_embed_prefix = f"label_emb.0.{j*2}."
+        unet_conversion_map.append((sd_label_embed_prefix, hf_label_embed_prefix))
+
+    unet_conversion_map.append(("input_blocks.0.0.", "conv_in."))
+    unet_conversion_map.append(("out.0.", "conv_norm_out."))
+    unet_conversion_map.append(("out.2.", "conv_out."))
+
+    return unet_conversion_map
+
+#_sdxl_conversion_map = {f"lora_unet_{sd}".rstrip(".").replace(".", "_"): f"lora_unet_{hf}".rstrip(".").replace(".", "_") for sd, hf in make_sdxl_unet_conversion_map()}
+SDXL_UNET_COMPVIS_MAP = {f"{sd}".rstrip(".").replace(".", "_"): f"{hf}".rstrip(".").replace(".", "_") for sd, hf in make_sdxl_unet_conversion_map()}

From 1d5d187ba10f4d2dab3d2bb1213e41cae37d701c Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Thu, 3 Aug 2023 10:26:52 -0400
Subject: [PATCH 057/287] model probe detects sdxl lora models

---
 invokeai/app/invocations/sdxl.py              |  4 +--
 invokeai/backend/model_management/lora.py     |  1 -
 .../backend/model_management/model_probe.py   | 25 ++++++++++++++++---
 .../backend/model_management/models/lora.py   | 17 ++++++++++---
 scripts/probe-model.py                        |  6 +++--
 5 files changed, 39 insertions(+), 14 deletions(-)

diff --git a/invokeai/app/invocations/sdxl.py b/invokeai/app/invocations/sdxl.py
index faa6b59782..aaa616a378 100644
--- a/invokeai/app/invocations/sdxl.py
+++ b/invokeai/app/invocations/sdxl.py
@@ -306,9 +306,7 @@ class SDXLTextToLatentsInvocation(BaseInvocation):
         unet_info = context.services.model_manager.get_model(**self.unet.unet.dict(), context=context)
         do_classifier_free_guidance = True
         cross_attention_kwargs = None
-        with ModelPatcher.apply_lora_unet(unet_info.context.model, _lora_loader()),\
-            unet_info as unet:
-
+        with ModelPatcher.apply_lora_unet(unet_info.context.model, _lora_loader()), unet_info as unet:
             scheduler.set_timesteps(num_inference_steps, device=unet.device)
             timesteps = scheduler.timesteps
 
diff --git a/invokeai/backend/model_management/lora.py b/invokeai/backend/model_management/lora.py
index 56f7a648c9..0a0ab3d629 100644
--- a/invokeai/backend/model_management/lora.py
+++ b/invokeai/backend/model_management/lora.py
@@ -101,7 +101,6 @@ class ModelPatcher:
         with cls.apply_lora(text_encoder, loras, "lora_te_"):
             yield
 
-
     @classmethod
     @contextmanager
     def apply_sdxl_lora_text_encoder(
diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index c3964d760c..21462cf6e6 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -315,21 +315,38 @@ class LoRACheckpointProbe(CheckpointProbeBase):
 
     def get_base_type(self) -> BaseModelType:
         checkpoint = self.checkpoint
+
+        # SD-2 models are very hard to probe. These probes are brittle and likely to fail in the future
+        # There are also some "SD-2 LoRAs" that have identical keys and shapes to SD-1 and will be
+        # misclassified as SD-1
+        key = "lora_te_text_model_encoder_layers_0_mlp_fc1.lora_down.weight"
+        if key in checkpoint and checkpoint[key].shape[0] == 320:
+            return BaseModelType.StableDiffusion2
+
+        key = "lora_unet_output_blocks_5_1_transformer_blocks_1_ff_net_2.lora_up.weight"
+        if key in checkpoint:
+            return BaseModelType.StableDiffusionXL
+
         key1 = "lora_te_text_model_encoder_layers_0_mlp_fc1.lora_down.weight"
-        key2 = "lora_te_text_model_encoder_layers_0_self_attn_k_proj.hada_w1_a"
+        key2 = "lora_te_text_model_encoder_layers_0_self_attn_k_proj.lora_down.weight"
+        key3 = "lora_te_text_model_encoder_layers_0_self_attn_k_proj.hada_w1_a"
+
         lora_token_vector_length = (
             checkpoint[key1].shape[1]
             if key1 in checkpoint
-            else checkpoint[key2].shape[0]
+            else checkpoint[key2].shape[1]
             if key2 in checkpoint
-            else 768
+            else checkpoint[key3].shape[0]
+            if key3 in checkpoint
+            else None
         )
+
         if lora_token_vector_length == 768:
             return BaseModelType.StableDiffusion1
         elif lora_token_vector_length == 1024:
             return BaseModelType.StableDiffusion2
         else:
-            return None
+            raise InvalidModelException(f"Unknown LoRA type")
 
 
 class TextualInversionCheckpointProbe(CheckpointProbeBase):
diff --git a/invokeai/backend/model_management/models/lora.py b/invokeai/backend/model_management/models/lora.py
index 0351bf2652..0870e78469 100644
--- a/invokeai/backend/model_management/models/lora.py
+++ b/invokeai/backend/model_management/models/lora.py
@@ -88,6 +88,7 @@ class LoRAModel(ModelBase):
         else:
             return model_path
 
+
 class LoRALayerBase:
     # rank: Optional[int]
     # alpha: Optional[float]
@@ -173,6 +174,7 @@ class LoRALayerBase:
         if self.bias is not None:
             self.bias = self.bias.to(device=device, dtype=dtype)
 
+
 # TODO: find and debug lora/locon with bias
 class LoRALayer(LoRALayerBase):
     # up: torch.Tensor
@@ -225,6 +227,7 @@ class LoRALayer(LoRALayerBase):
         if self.mid is not None:
             self.mid = self.mid.to(device=device, dtype=dtype)
 
+
 class LoHALayer(LoRALayerBase):
     # w1_a: torch.Tensor
     # w1_b: torch.Tensor
@@ -292,6 +295,7 @@ class LoHALayer(LoRALayerBase):
         if self.t2 is not None:
             self.t2 = self.t2.to(device=device, dtype=dtype)
 
+
 class LoKRLayer(LoRALayerBase):
     # w1: Optional[torch.Tensor] = None
     # w1_a: Optional[torch.Tensor] = None
@@ -386,6 +390,7 @@ class LoKRLayer(LoRALayerBase):
         if self.t2 is not None:
             self.t2 = self.t2.to(device=device, dtype=dtype)
 
+
 # TODO: rename all methods used in model logic with Info postfix and remove here Raw postfix
 class LoRAModelRaw:  # (torch.nn.Module):
     _name: str
@@ -439,7 +444,7 @@ class LoRAModelRaw:  # (torch.nn.Module):
         new_state_dict = dict()
         for full_key, value in state_dict.items():
             if full_key.startswith("lora_te1_") or full_key.startswith("lora_te2_"):
-                continue # clip same
+                continue  # clip same
 
             if not full_key.startswith("lora_unet_"):
                 raise NotImplementedError(f"Unknown prefix for sdxl lora key - {full_key}")
@@ -450,7 +455,7 @@ class LoRAModelRaw:  # (torch.nn.Module):
                     if src_key in SDXL_UNET_COMPVIS_MAP:
                         dst_key = SDXL_UNET_COMPVIS_MAP[src_key]
                         break
-                    src_key = "_".join(src_key.split('_')[:-1])
+                    src_key = "_".join(src_key.split("_")[:-1])
 
                 if dst_key is None:
                     raise Exception(f"Unknown sdxl lora key - {full_key}")
@@ -614,5 +619,9 @@ def make_sdxl_unet_conversion_map():
 
     return unet_conversion_map
 
-#_sdxl_conversion_map = {f"lora_unet_{sd}".rstrip(".").replace(".", "_"): f"lora_unet_{hf}".rstrip(".").replace(".", "_") for sd, hf in make_sdxl_unet_conversion_map()}
-SDXL_UNET_COMPVIS_MAP = {f"{sd}".rstrip(".").replace(".", "_"): f"{hf}".rstrip(".").replace(".", "_") for sd, hf in make_sdxl_unet_conversion_map()}
+
+# _sdxl_conversion_map = {f"lora_unet_{sd}".rstrip(".").replace(".", "_"): f"lora_unet_{hf}".rstrip(".").replace(".", "_") for sd, hf in make_sdxl_unet_conversion_map()}
+SDXL_UNET_COMPVIS_MAP = {
+    f"{sd}".rstrip(".").replace(".", "_"): f"{hf}".rstrip(".").replace(".", "_")
+    for sd, hf in make_sdxl_unet_conversion_map()
+}
diff --git a/scripts/probe-model.py b/scripts/probe-model.py
index 7281dafc3f..4cf2c50263 100755
--- a/scripts/probe-model.py
+++ b/scripts/probe-model.py
@@ -9,8 +9,10 @@ parser = argparse.ArgumentParser(description="Probe model type")
 parser.add_argument(
     "model_path",
     type=Path,
+    nargs="+",
 )
 args = parser.parse_args()
 
-info = ModelProbe().probe(args.model_path)
-print(info)
+for path in args.model_path:
+    info = ModelProbe().probe(path)
+    print(f"{path}: {info}")

From cff91f06d36376e7936db97761df9aaea4395d53 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Thu, 3 Aug 2023 19:04:44 +0300
Subject: [PATCH 058/287] Add lora apply in sdxl l2l node

---
 invokeai/app/invocations/sdxl.py | 12 +++++++++++-
 1 file changed, 11 insertions(+), 1 deletion(-)

diff --git a/invokeai/app/invocations/sdxl.py b/invokeai/app/invocations/sdxl.py
index aaa616a378..5bcd85db28 100644
--- a/invokeai/app/invocations/sdxl.py
+++ b/invokeai/app/invocations/sdxl.py
@@ -553,9 +553,19 @@ class SDXLLatentsToLatentsInvocation(BaseInvocation):
             context=context,
         )
 
+        def _lora_loader():
+            for lora in self.unet.loras:
+                lora_info = context.services.model_manager.get_model(
+                    **lora.dict(exclude={"weight"}),
+                    context=context,
+                )
+                yield (lora_info.context.model, lora.weight)
+                del lora_info
+            return
+
         do_classifier_free_guidance = True
         cross_attention_kwargs = None
-        with unet_info as unet:
+        with ModelPatcher.apply_lora_unet(unet_info.context.model, _lora_loader()), unet_info as unet:
             # apply denoising_start
             num_inference_steps = self.steps
             scheduler.set_timesteps(num_inference_steps, device=unet.device)

From 0d3c27f46c3276d86a51191ad3d036a2fe51f13f Mon Sep 17 00:00:00 2001
From: StAlKeR7779 <stalkek7779@yandex.ru>
Date: Fri, 4 Aug 2023 03:07:21 +0300
Subject: [PATCH 059/287] Fix typo

Co-authored-by: Ryan Dick <ryanjdick3@gmail.com>
---
 invokeai/app/invocations/model.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/app/invocations/model.py b/invokeai/app/invocations/model.py
index d215d500a6..0d21f8f0ce 100644
--- a/invokeai/app/invocations/model.py
+++ b/invokeai/app/invocations/model.py
@@ -307,7 +307,7 @@ class SDXLLoraLoaderInvocation(BaseInvocation):
             model_name=lora_name,
             model_type=ModelType.Lora,
         ):
-            raise Exception(f"Unkown lora name: {lora_name}!")
+            raise Exception(f"Unknown lora name: {lora_name}!")
 
         if self.unet is not None and any(lora.model_name == lora_name for lora in self.unet.loras):
             raise Exception(f'Lora "{lora_name}" already applied to unet')

From 2f8b928486eb8d4e7c94a7eca122e1ab08fbc0e4 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Tue, 1 Aug 2023 17:02:57 +0300
Subject: [PATCH 060/287] Add support for diff/full lora layers

---
 invokeai/backend/model_management/lora.py | 46 +++++++++++++++++++++--
 1 file changed, 43 insertions(+), 3 deletions(-)

diff --git a/invokeai/backend/model_management/lora.py b/invokeai/backend/model_management/lora.py
index 4287072a65..14a78693ea 100644
--- a/invokeai/backend/model_management/lora.py
+++ b/invokeai/backend/model_management/lora.py
@@ -325,6 +325,43 @@ class LoKRLayer(LoRALayerBase):
             self.t2 = self.t2.to(device=device, dtype=dtype)
 
 
+class FullLayer(LoRALayerBase):
+    # weight: torch.Tensor
+
+    def __init__(
+        self,
+        layer_key: str,
+        values: dict,
+    ):
+        super().__init__(layer_key, values)
+
+        self.weight = values["diff"]
+
+        if len(values.keys()) > 1:
+            _keys = list(values.keys())
+            _keys.remove("diff")
+            raise NotImplementedError(f"Unexpected keys in lora diff layer: {_keys}")
+
+        self.rank = None  # unscaled
+
+    def get_weight(self):
+        return self.weight
+
+    def calc_size(self) -> int:
+        model_size = super().calc_size()
+        model_size += self.weight.nelement() * self.weight.element_size()
+        return model_size
+
+    def to(
+        self,
+        device: Optional[torch.device] = None,
+        dtype: Optional[torch.dtype] = None,
+    ):
+        super().to(device=device, dtype=dtype)
+
+        self.weight = self.weight.to(device=device, dtype=dtype)    
+
+
 class LoRAModel:  # (torch.nn.Module):
     _name: str
     layers: Dict[str, LoRALayer]
@@ -412,10 +449,13 @@ class LoRAModel:  # (torch.nn.Module):
             elif "lokr_w1_b" in values or "lokr_w1" in values:
                 layer = LoKRLayer(layer_key, values)
 
+            elif "diff" in values:
+                layer = FullLayer(layer_key, values)
+
             else:
-                # TODO: diff/ia3/... format
-                print(f">> Encountered unknown lora layer module in {model.name}: {layer_key}")
-                return
+                # TODO: ia3/... format
+                print(f">> Encountered unknown lora layer module in {model.name}: {layer_key} - {list(values.keys())}")
+                raise Exception("Unknown lora format!")
 
             # lower memory consumption by removing already parsed layer values
             state_dict[layer_key].clear()

From 7d0cc6ec3f97a4d0c8b61c6af6e3bc4e29c4f1b9 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 3 Aug 2023 11:18:22 +1000
Subject: [PATCH 061/287] chore: black

---
 invokeai/backend/model_management/lora.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/backend/model_management/lora.py b/invokeai/backend/model_management/lora.py
index 14a78693ea..9f196d659d 100644
--- a/invokeai/backend/model_management/lora.py
+++ b/invokeai/backend/model_management/lora.py
@@ -359,7 +359,7 @@ class FullLayer(LoRALayerBase):
     ):
         super().to(device=device, dtype=dtype)
 
-        self.weight = self.weight.to(device=device, dtype=dtype)    
+        self.weight = self.weight.to(device=device, dtype=dtype)
 
 
 class LoRAModel:  # (torch.nn.Module):

From f0613bb0ef1642e3c34ba7bc3146294d5de15ad2 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Fri, 4 Aug 2023 19:53:27 +0300
Subject: [PATCH 062/287] Fix merge conflict resolve - restore full/diff layer
 support

---
 .../backend/model_management/models/lora.py   | 49 +++++++++++++++++--
 1 file changed, 45 insertions(+), 4 deletions(-)

diff --git a/invokeai/backend/model_management/models/lora.py b/invokeai/backend/model_management/models/lora.py
index 0870e78469..1983c05503 100644
--- a/invokeai/backend/model_management/models/lora.py
+++ b/invokeai/backend/model_management/models/lora.py
@@ -391,6 +391,43 @@ class LoKRLayer(LoRALayerBase):
             self.t2 = self.t2.to(device=device, dtype=dtype)
 
 
+class FullLayer(LoRALayerBase):
+    # weight: torch.Tensor
+
+    def __init__(
+        self,
+        layer_key: str,
+        values: dict,
+    ):
+        super().__init__(layer_key, values)
+
+        self.weight = values["diff"]
+
+        if len(values.keys()) > 1:
+            _keys = list(values.keys())
+            _keys.remove("diff")
+            raise NotImplementedError(f"Unexpected keys in lora diff layer: {_keys}")
+
+        self.rank = None  # unscaled
+
+    def get_weight(self):
+        return self.weight
+
+    def calc_size(self) -> int:
+        model_size = super().calc_size()
+        model_size += self.weight.nelement() * self.weight.element_size()
+        return model_size
+
+    def to(
+        self,
+        device: Optional[torch.device] = None,
+        dtype: Optional[torch.dtype] = None,
+    ):
+        super().to(device=device, dtype=dtype)
+
+        self.weight = self.weight.to(device=device, dtype=dtype)
+
+
 # TODO: rename all methods used in model logic with Info postfix and remove here Raw postfix
 class LoRAModelRaw:  # (torch.nn.Module):
     _name: str
@@ -510,10 +547,13 @@ class LoRAModelRaw:  # (torch.nn.Module):
             elif "lokr_w1_b" in values or "lokr_w1" in values:
                 layer = LoKRLayer(layer_key, values)
 
+            elif "diff" in values:
+                layer = FullLayer(layer_key, values)
+
             else:
-                # TODO: diff/ia3/... format
-                print(f">> Encountered unknown lora layer module in {model.name}: {layer_key}")
-                return
+                # TODO: ia3/... format
+                print(f">> Encountered unknown lora layer module in {model.name}: {layer_key} - {list(values.keys())}")
+                raise Exception("Unknown lora format!")
 
             # lower memory consumption by removing already parsed layer values
             state_dict[layer_key].clear()
@@ -536,6 +576,8 @@ class LoRAModelRaw:  # (torch.nn.Module):
         return state_dict_groupped
 
 
+# code from
+# https://github.com/bmaltais/kohya_ss/blob/2accb1305979ba62f5077a23aabac23b4c37e935/networks/lora_diffusers.py#L15C1-L97C32
 def make_sdxl_unet_conversion_map():
     unet_conversion_map_layer = []
 
@@ -620,7 +662,6 @@ def make_sdxl_unet_conversion_map():
     return unet_conversion_map
 
 
-# _sdxl_conversion_map = {f"lora_unet_{sd}".rstrip(".").replace(".", "_"): f"lora_unet_{hf}".rstrip(".").replace(".", "_") for sd, hf in make_sdxl_unet_conversion_map()}
 SDXL_UNET_COMPVIS_MAP = {
     f"{sd}".rstrip(".").replace(".", "_"): f"{hf}".rstrip(".").replace(".", "_")
     for sd, hf in make_sdxl_unet_conversion_map()

From 04229082d61f10efd70b2ff289b03c46ae4571a8 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Tue, 1 Aug 2023 18:04:10 +0300
Subject: [PATCH 063/287] Provide ti name from model manager, not from ti
 itself

---
 invokeai/app/invocations/compel.py        | 15 +++++++-----
 invokeai/app/invocations/onnx.py          | 13 +++-------
 invokeai/backend/model_management/lora.py | 30 +++++++++++------------
 3 files changed, 26 insertions(+), 32 deletions(-)

diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index bbe372ff57..c11ebd3f56 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -108,14 +108,15 @@ class CompelInvocation(BaseInvocation):
         for trigger in re.findall(r"<[a-zA-Z0-9., _-]+>", self.prompt):
             name = trigger[1:-1]
             try:
-                ti_list.append(
+                ti_list.append((
+                    name,
                     context.services.model_manager.get_model(
                         model_name=name,
                         base_model=self.clip.text_encoder.base_model,
                         model_type=ModelType.TextualInversion,
                         context=context,
                     ).context.model
-                )
+                ))
             except ModelNotFoundException:
                 # print(e)
                 # import traceback
@@ -196,14 +197,15 @@ class SDXLPromptInvocationBase:
         for trigger in re.findall(r"<[a-zA-Z0-9., _-]+>", prompt):
             name = trigger[1:-1]
             try:
-                ti_list.append(
+                ti_list.append((
+                    name,
                     context.services.model_manager.get_model(
                         model_name=name,
                         base_model=clip_field.text_encoder.base_model,
                         model_type=ModelType.TextualInversion,
                         context=context,
                     ).context.model
-                )
+                ))
             except ModelNotFoundException:
                 # print(e)
                 # import traceback
@@ -270,14 +272,15 @@ class SDXLPromptInvocationBase:
         for trigger in re.findall(r"<[a-zA-Z0-9., _-]+>", prompt):
             name = trigger[1:-1]
             try:
-                ti_list.append(
+                ti_list.append((
+                    name,
                     context.services.model_manager.get_model(
                         model_name=name,
                         base_model=clip_field.text_encoder.base_model,
                         model_type=ModelType.TextualInversion,
                         context=context,
                     ).context.model
-                )
+                ))
             except ModelNotFoundException:
                 # print(e)
                 # import traceback
diff --git a/invokeai/app/invocations/onnx.py b/invokeai/app/invocations/onnx.py
index 2bec128b87..dec5b939a0 100644
--- a/invokeai/app/invocations/onnx.py
+++ b/invokeai/app/invocations/onnx.py
@@ -65,7 +65,6 @@ class ONNXPromptInvocation(BaseInvocation):
             **self.clip.text_encoder.dict(),
         )
         with tokenizer_info as orig_tokenizer, text_encoder_info as text_encoder, ExitStack() as stack:
-            # loras = [(stack.enter_context(context.services.model_manager.get_model(**lora.dict(exclude={"weight"}))), lora.weight) for lora in self.clip.loras]
             loras = [
                 (context.services.model_manager.get_model(**lora.dict(exclude={"weight"})).context.model, lora.weight)
                 for lora in self.clip.loras
@@ -75,20 +74,14 @@ class ONNXPromptInvocation(BaseInvocation):
             for trigger in re.findall(r"<[a-zA-Z0-9., _-]+>", self.prompt):
                 name = trigger[1:-1]
                 try:
-                    ti_list.append(
-                        # stack.enter_context(
-                        #    context.services.model_manager.get_model(
-                        #        model_name=name,
-                        #        base_model=self.clip.text_encoder.base_model,
-                        #        model_type=ModelType.TextualInversion,
-                        #    )
-                        # )
+                    ti_list.append((
+                        name,
                         context.services.model_manager.get_model(
                             model_name=name,
                             base_model=self.clip.text_encoder.base_model,
                             model_type=ModelType.TextualInversion,
                         ).context.model
-                    )
+                    ))
                 except Exception:
                     # print(e)
                     # import traceback
diff --git a/invokeai/backend/model_management/lora.py b/invokeai/backend/model_management/lora.py
index 7ccf5e57ae..e8e2b3f51f 100644
--- a/invokeai/backend/model_management/lora.py
+++ b/invokeai/backend/model_management/lora.py
@@ -164,7 +164,7 @@ class ModelPatcher:
         cls,
         tokenizer: CLIPTokenizer,
         text_encoder: CLIPTextModel,
-        ti_list: List[Any],
+        ti_list: List[Tuple[str, Any]],
     ) -> Tuple[CLIPTokenizer, TextualInversionManager]:
         init_tokens_count = None
         new_tokens_added = None
@@ -174,27 +174,27 @@ class ModelPatcher:
             ti_manager = TextualInversionManager(ti_tokenizer)
             init_tokens_count = text_encoder.resize_token_embeddings(None).num_embeddings
 
-            def _get_trigger(ti, index):
-                trigger = ti.name
+            def _get_trigger(ti_name, index):
+                trigger = ti_name
                 if index > 0:
                     trigger += f"-!pad-{i}"
                 return f"<{trigger}>"
 
             # modify tokenizer
             new_tokens_added = 0
-            for ti in ti_list:
+            for ti_name, ti in ti_list:
                 for i in range(ti.embedding.shape[0]):
-                    new_tokens_added += ti_tokenizer.add_tokens(_get_trigger(ti, i))
+                    new_tokens_added += ti_tokenizer.add_tokens(_get_trigger(ti_name, i))
 
             # modify text_encoder
             text_encoder.resize_token_embeddings(init_tokens_count + new_tokens_added)
             model_embeddings = text_encoder.get_input_embeddings()
 
-            for ti in ti_list:
+            for ti_name, ti in ti_list:
                 ti_tokens = []
                 for i in range(ti.embedding.shape[0]):
                     embedding = ti.embedding[i]
-                    trigger = _get_trigger(ti, i)
+                    trigger = _get_trigger(ti_name, i)
 
                     token_id = ti_tokenizer.convert_tokens_to_ids(trigger)
                     if token_id == ti_tokenizer.unk_token_id:
@@ -239,7 +239,6 @@ class ModelPatcher:
 
 
 class TextualInversionModel:
-    name: str
     embedding: torch.Tensor  # [n, 768]|[n, 1280]
 
     @classmethod
@@ -253,7 +252,6 @@ class TextualInversionModel:
             file_path = Path(file_path)
 
         result = cls()  # TODO:
-        result.name = file_path.stem  # TODO:
 
         if file_path.suffix == ".safetensors":
             state_dict = load_file(file_path.absolute().as_posix(), device="cpu")
@@ -430,7 +428,7 @@ class ONNXModelPatcher:
         cls,
         tokenizer: CLIPTokenizer,
         text_encoder: IAIOnnxRuntimeModel,
-        ti_list: List[Any],
+        ti_list: List[Tuple[str, Any]],
     ) -> Tuple[CLIPTokenizer, TextualInversionManager]:
         from .models.base import IAIOnnxRuntimeModel
 
@@ -443,17 +441,17 @@ class ONNXModelPatcher:
             ti_tokenizer = copy.deepcopy(tokenizer)
             ti_manager = TextualInversionManager(ti_tokenizer)
 
-            def _get_trigger(ti, index):
-                trigger = ti.name
+            def _get_trigger(ti_name, index):
+                trigger = ti_name
                 if index > 0:
                     trigger += f"-!pad-{i}"
                 return f"<{trigger}>"
 
             # modify tokenizer
             new_tokens_added = 0
-            for ti in ti_list:
+            for ti_name, ti in ti_list:
                 for i in range(ti.embedding.shape[0]):
-                    new_tokens_added += ti_tokenizer.add_tokens(_get_trigger(ti, i))
+                    new_tokens_added += ti_tokenizer.add_tokens(_get_trigger(ti_name, i))
 
             # modify text_encoder
             orig_embeddings = text_encoder.tensors["text_model.embeddings.token_embedding.weight"]
@@ -463,11 +461,11 @@ class ONNXModelPatcher:
                 axis=0,
             )
 
-            for ti in ti_list:
+            for ti_name, ti in ti_list:
                 ti_tokens = []
                 for i in range(ti.embedding.shape[0]):
                     embedding = ti.embedding[i].detach().numpy()
-                    trigger = _get_trigger(ti, i)
+                    trigger = _get_trigger(ti_name, i)
 
                     token_id = ti_tokenizer.convert_tokens_to_ids(trigger)
                     if token_id == ti_tokenizer.unk_token_id:

From 6ad565d84c22243838cd5fca1c579267ac3f4de5 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Thu, 3 Aug 2023 19:01:05 -0400
Subject: [PATCH 064/287] folded in changes from 4099

---
 invokeai/app/invocations/compel.py            | 60 ++++++++++---------
 invokeai/app/invocations/onnx.py              | 18 +++---
 .../backend/model_management/model_cache.py   |  2 +-
 .../backend/model_management/model_manager.py |  6 +-
 4 files changed, 47 insertions(+), 39 deletions(-)

diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index c11ebd3f56..7c3ce7a819 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -108,15 +108,17 @@ class CompelInvocation(BaseInvocation):
         for trigger in re.findall(r"<[a-zA-Z0-9., _-]+>", self.prompt):
             name = trigger[1:-1]
             try:
-                ti_list.append((
-                    name,
-                    context.services.model_manager.get_model(
-                        model_name=name,
-                        base_model=self.clip.text_encoder.base_model,
-                        model_type=ModelType.TextualInversion,
-                        context=context,
-                    ).context.model
-                ))
+                ti_list.append(
+                    (
+                        name,
+                        context.services.model_manager.get_model(
+                            model_name=name,
+                            base_model=self.clip.text_encoder.base_model,
+                            model_type=ModelType.TextualInversion,
+                            context=context,
+                        ).context.model,
+                    )
+                )
             except ModelNotFoundException:
                 # print(e)
                 # import traceback
@@ -197,15 +199,17 @@ class SDXLPromptInvocationBase:
         for trigger in re.findall(r"<[a-zA-Z0-9., _-]+>", prompt):
             name = trigger[1:-1]
             try:
-                ti_list.append((
-                    name,
-                    context.services.model_manager.get_model(
-                        model_name=name,
-                        base_model=clip_field.text_encoder.base_model,
-                        model_type=ModelType.TextualInversion,
-                        context=context,
-                    ).context.model
-                ))
+                ti_list.append(
+                    (
+                        name,
+                        context.services.model_manager.get_model(
+                            model_name=name,
+                            base_model=clip_field.text_encoder.base_model,
+                            model_type=ModelType.TextualInversion,
+                            context=context,
+                        ).context.model,
+                    )
+                )
             except ModelNotFoundException:
                 # print(e)
                 # import traceback
@@ -272,15 +276,17 @@ class SDXLPromptInvocationBase:
         for trigger in re.findall(r"<[a-zA-Z0-9., _-]+>", prompt):
             name = trigger[1:-1]
             try:
-                ti_list.append((
-                    name,
-                    context.services.model_manager.get_model(
-                        model_name=name,
-                        base_model=clip_field.text_encoder.base_model,
-                        model_type=ModelType.TextualInversion,
-                        context=context,
-                    ).context.model
-                ))
+                ti_list.append(
+                    (
+                        name,
+                        context.services.model_manager.get_model(
+                            model_name=name,
+                            base_model=clip_field.text_encoder.base_model,
+                            model_type=ModelType.TextualInversion,
+                            context=context,
+                        ).context.model,
+                    )
+                )
             except ModelNotFoundException:
                 # print(e)
                 # import traceback
diff --git a/invokeai/app/invocations/onnx.py b/invokeai/app/invocations/onnx.py
index dec5b939a0..fe9a64552e 100644
--- a/invokeai/app/invocations/onnx.py
+++ b/invokeai/app/invocations/onnx.py
@@ -74,14 +74,16 @@ class ONNXPromptInvocation(BaseInvocation):
             for trigger in re.findall(r"<[a-zA-Z0-9., _-]+>", self.prompt):
                 name = trigger[1:-1]
                 try:
-                    ti_list.append((
-                        name,
-                        context.services.model_manager.get_model(
-                            model_name=name,
-                            base_model=self.clip.text_encoder.base_model,
-                            model_type=ModelType.TextualInversion,
-                        ).context.model
-                    ))
+                    ti_list.append(
+                        (
+                            name,
+                            context.services.model_manager.get_model(
+                                model_name=name,
+                                base_model=self.clip.text_encoder.base_model,
+                                model_type=ModelType.TextualInversion,
+                            ).context.model,
+                        )
+                    )
                 except Exception:
                     # print(e)
                     # import traceback
diff --git a/invokeai/backend/model_management/model_cache.py b/invokeai/backend/model_management/model_cache.py
index 71e1ebc0d4..2b8d020269 100644
--- a/invokeai/backend/model_management/model_cache.py
+++ b/invokeai/backend/model_management/model_cache.py
@@ -186,7 +186,7 @@ class ModelCache(object):
         cache_entry = self._cached_models.get(key, None)
         if cache_entry is None:
             self.logger.info(
-                f"Loading model {model_path}, type {base_model.value}:{model_type.value}:{submodel.value if submodel else ''}"
+                f"Loading model {model_path}, type {base_model.value}:{model_type.value}{':'+submodel.value if submodel else ''}"
             )
 
             # this will remove older cached models until
diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index 832a96e18f..3fd59d1533 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -670,7 +670,7 @@ class ModelManager(object):
             # TODO: if path changed and old_model.path inside models folder should we delete this too?
 
             # remove conversion cache as config changed
-            old_model_path = self.app_config.root_path / old_model.path
+            old_model_path = self.resolve_model_path(old_model.path)
             old_model_cache = self._get_model_cache_path(old_model_path)
             if old_model_cache.exists():
                 if old_model_cache.is_dir():
@@ -780,7 +780,7 @@ class ModelManager(object):
             model_type,
             **submodel,
         )
-        checkpoint_path = self.app_config.root_path / info["path"]
+        checkpoint_path = self.resolve_model_path(info["path"])
         old_diffusers_path = self.resolve_model_path(model.location)
         new_diffusers_path = (
             dest_directory or self.app_config.models_path / base_model.value / model_type.value
@@ -992,7 +992,7 @@ class ModelManager(object):
             model_manager=self,
             prediction_type_helper=ask_user_for_prediction_type,
         )
-        known_paths = {config.root_path / x["path"] for x in self.list_models()}
+        known_paths = {self.resolve_model_path(x["path"]) for x in self.list_models()}
         directories = {
             config.root_path / x
             for x in [

From 1b158f62c4d4a98da1d5aac2288ad724b4b8a87a Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Thu, 3 Aug 2023 19:26:42 -0400
Subject: [PATCH 065/287] resolve vae overrides correctly

---
 invokeai/backend/model_management/model_manager.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index 3fd59d1533..a3b0d4e04a 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -472,7 +472,7 @@ class ModelManager(object):
         if submodel_type is not None and hasattr(model_config, submodel_type):
             override_path = getattr(model_config, submodel_type)
             if override_path:
-                model_path = self.app_config.root_path / override_path
+                model_path = self.resolve_path(override_path)
                 model_type = submodel_type
                 submodel_type = None
                 model_class = MODEL_CLASSES[base_model][model_type]

From 23497bf759d5dc1d1e0bb6dea87f9d1a07db8075 Mon Sep 17 00:00:00 2001
From: Damian Stewart <d@damianstewart.com>
Date: Sun, 30 Jul 2023 20:38:17 +0200
Subject: [PATCH 066/287] add `--ignore_missing_core_models` CLI flag to bypass
 checking for missing core models

---
 invokeai/app/services/config.py        |  1 +
 invokeai/backend/install/check_root.py | 22 ++++++++++++----------
 2 files changed, 13 insertions(+), 10 deletions(-)

diff --git a/invokeai/app/services/config.py b/invokeai/app/services/config.py
index c119f2f74c..7b5015a670 100644
--- a/invokeai/app/services/config.py
+++ b/invokeai/app/services/config.py
@@ -414,6 +414,7 @@ class InvokeAIAppConfig(InvokeAISettings):
     outdir              : Path = Field(default='outputs', description='Default folder for output images', category='Paths')
     from_file           : Path = Field(default=None, description='Take command input from the indicated file (command-line client only)', category='Paths')
     use_memory_db       : bool = Field(default=False, description='Use in-memory database for storing image metadata', category='Paths')
+    ignore_missing_core_models : bool = Field(default=False, description='Ignore missing models in models/core/convert')
 
     model               : str = Field(default='stable-diffusion-1.5', description='Initial model name', category='Models')
 
diff --git a/invokeai/backend/install/check_root.py b/invokeai/backend/install/check_root.py
index ded9e66635..cde53f7100 100644
--- a/invokeai/backend/install/check_root.py
+++ b/invokeai/backend/install/check_root.py
@@ -12,16 +12,17 @@ def check_invokeai_root(config: InvokeAIAppConfig):
         assert config.model_conf_path.exists(), f"{config.model_conf_path} not found"
         assert config.db_path.parent.exists(), f"{config.db_path.parent} not found"
         assert config.models_path.exists(), f"{config.models_path} not found"
-        for model in [
-            "CLIP-ViT-bigG-14-laion2B-39B-b160k",
-            "bert-base-uncased",
-            "clip-vit-large-patch14",
-            "sd-vae-ft-mse",
-            "stable-diffusion-2-clip",
-            "stable-diffusion-safety-checker",
-        ]:
-            path = config.models_path / f"core/convert/{model}"
-            assert path.exists(), f"{path} is missing"
+        if not config.ignore_missing_core_models:
+            for model in [
+                "CLIP-ViT-bigG-14-laion2B-39B-b160k",
+                "bert-base-uncased",
+                "clip-vit-large-patch14",
+                "sd-vae-ft-mse",
+                "stable-diffusion-2-clip",
+                "stable-diffusion-safety-checker",
+            ]:
+                path = config.models_path / f"core/convert/{model}"
+                assert path.exists(), f"{path} is missing"
     except Exception as e:
         print()
         print(f"An exception has occurred: {str(e)}")
@@ -32,5 +33,6 @@ def check_invokeai_root(config: InvokeAIAppConfig):
         print(
             '** From the command line, activate the virtual environment and run "invokeai-configure --yes --skip-sd-weights" **'
         )
+        print('** (To skip this check completely, add "--ignore_missing_core_models" to your CLI args. Not recommended.)')
         input("Press any key to continue...")
         sys.exit(0)

From 8607d124c5935ffb82253152368f7deafaa15ab5 Mon Sep 17 00:00:00 2001
From: Damian Stewart <d@damianstewart.com>
Date: Wed, 2 Aug 2023 02:31:37 +0200
Subject: [PATCH 067/287] improve message about the consequences of the
 --ignore_missing_core_models flag

---
 invokeai/backend/install/check_root.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/invokeai/backend/install/check_root.py b/invokeai/backend/install/check_root.py
index cde53f7100..a9887a5025 100644
--- a/invokeai/backend/install/check_root.py
+++ b/invokeai/backend/install/check_root.py
@@ -33,6 +33,8 @@ def check_invokeai_root(config: InvokeAIAppConfig):
         print(
             '** From the command line, activate the virtual environment and run "invokeai-configure --yes --skip-sd-weights" **'
         )
-        print('** (To skip this check completely, add "--ignore_missing_core_models" to your CLI args. Not recommended.)')
+        print('** (To skip this check completely, add "--ignore_missing_core_models" to your CLI args. Not installing '
+              'these core models will prevent the loading of some or all .safetensors and .ckpt files. Howeer, you can '
+              'always come back and install these core models in the future.)')
         input("Press any key to continue...")
         sys.exit(0)

From 6d7223238fa44a39ab738223a924697b9cffbc4c Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 3 Aug 2023 09:57:00 +1000
Subject: [PATCH 068/287] fix: fix typo in message

---
 invokeai/backend/install/check_root.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/backend/install/check_root.py b/invokeai/backend/install/check_root.py
index a9887a5025..8990903a33 100644
--- a/invokeai/backend/install/check_root.py
+++ b/invokeai/backend/install/check_root.py
@@ -34,7 +34,7 @@ def check_invokeai_root(config: InvokeAIAppConfig):
             '** From the command line, activate the virtual environment and run "invokeai-configure --yes --skip-sd-weights" **'
         )
         print('** (To skip this check completely, add "--ignore_missing_core_models" to your CLI args. Not installing '
-              'these core models will prevent the loading of some or all .safetensors and .ckpt files. Howeer, you can '
+              'these core models will prevent the loading of some or all .safetensors and .ckpt files. However, you can '
               'always come back and install these core models in the future.)')
         input("Press any key to continue...")
         sys.exit(0)

From eb6c317f04e93ee4dba34e0392eb38a28376d6ad Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 3 Aug 2023 09:59:51 +1000
Subject: [PATCH 069/287] chore: black

---
 invokeai/backend/install/check_root.py | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/invokeai/backend/install/check_root.py b/invokeai/backend/install/check_root.py
index 8990903a33..2104c3a4c7 100644
--- a/invokeai/backend/install/check_root.py
+++ b/invokeai/backend/install/check_root.py
@@ -33,8 +33,10 @@ def check_invokeai_root(config: InvokeAIAppConfig):
         print(
             '** From the command line, activate the virtual environment and run "invokeai-configure --yes --skip-sd-weights" **'
         )
-        print('** (To skip this check completely, add "--ignore_missing_core_models" to your CLI args. Not installing '
-              'these core models will prevent the loading of some or all .safetensors and .ckpt files. However, you can '
-              'always come back and install these core models in the future.)')
+        print(
+            '** (To skip this check completely, add "--ignore_missing_core_models" to your CLI args. Not installing '
+            "these core models will prevent the loading of some or all .safetensors and .ckpt files. However, you can "
+            "always come back and install these core models in the future.)"
+        )
         input("Press any key to continue...")
         sys.exit(0)

From d162b787679c419870e1b8f1d9cc86ec7df2ad84 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Thu, 3 Aug 2023 22:41:05 -0400
Subject: [PATCH 070/287] fix broken civitai example link

---
 docs/installation/050_INSTALLING_MODELS.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/installation/050_INSTALLING_MODELS.md b/docs/installation/050_INSTALLING_MODELS.md
index ce2004e841..d1c0cfacca 100644
--- a/docs/installation/050_INSTALLING_MODELS.md
+++ b/docs/installation/050_INSTALLING_MODELS.md
@@ -124,7 +124,7 @@ installation. Examples:
 invokeai-model-install --list controlnet
 
 # (install the model at the indicated URL)
-invokeai-model-install --add http://civitai.com/2860
+invokeai-model-install --add https://civitai.com/api/download/models/128713
 
 # (delete the named model)
 invokeai-model-install --delete sd-1/main/analog-diffusion
@@ -170,4 +170,4 @@ elsewhere on disk and they will be autoimported. You can also create
 subfolders and organize them as you wish.
 
 The location of the autoimport directories are controlled by settings
-in `invokeai.yaml`. See [Configuration](../features/CONFIGURATION.md).
\ No newline at end of file
+in `invokeai.yaml`. See [Configuration](../features/CONFIGURATION.md).

From ecabfc252b3625a1c133272166741bbad017245a Mon Sep 17 00:00:00 2001
From: gogurtenjoyer <36354352+gogurtenjoyer@users.noreply.github.com>
Date: Fri, 21 Jul 2023 19:59:22 -0400
Subject: [PATCH 071/287] devices.py - Update MPS FP16 check to account for
 upcoming MacOS Sonoma

float16 doesn't seem to work on MacOS Sonoma due to further changes with Metal. This'll default back to float32 for Sonoma users.
---
 invokeai/backend/util/devices.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/invokeai/backend/util/devices.py b/invokeai/backend/util/devices.py
index eeabcc35db..2acd5e4834 100644
--- a/invokeai/backend/util/devices.py
+++ b/invokeai/backend/util/devices.py
@@ -1,6 +1,8 @@
 from __future__ import annotations
 
 from contextlib import nullcontext
+from packaging import version
+import platform
 
 import torch
 from torch import autocast
@@ -30,7 +32,7 @@ def choose_precision(device: torch.device) -> str:
         device_name = torch.cuda.get_device_name(device)
         if not ("GeForce GTX 1660" in device_name or "GeForce GTX 1650" in device_name):
             return "float16"
-    elif device.type == "mps":
+    elif device.type == "mps" and version.parse(platform.mac_ver()[0]) < version.parse('14.0.0'):
         return "float16"
     return "float32"
 

From b6e369c74581e36dadf478f337ec76558f892cfb Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Sat, 5 Aug 2023 12:21:35 +1000
Subject: [PATCH 072/287] chore: black

---
 invokeai/backend/util/devices.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/backend/util/devices.py b/invokeai/backend/util/devices.py
index 2acd5e4834..1827f295e4 100644
--- a/invokeai/backend/util/devices.py
+++ b/invokeai/backend/util/devices.py
@@ -32,7 +32,7 @@ def choose_precision(device: torch.device) -> str:
         device_name = torch.cuda.get_device_name(device)
         if not ("GeForce GTX 1660" in device_name or "GeForce GTX 1650" in device_name):
             return "float16"
-    elif device.type == "mps" and version.parse(platform.mac_ver()[0]) < version.parse('14.0.0'):
+    elif device.type == "mps" and version.parse(platform.mac_ver()[0]) < version.parse("14.0.0"):
         return "float16"
     return "float32"
 

From 2568aafc0b7b9cae77139fa35eb88e8e134610d0 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lincoln.stein@gmail.com>
Date: Fri, 4 Aug 2023 18:10:58 -0400
Subject: [PATCH 073/287] bump version number so that pip updates work

---
 invokeai/version/invokeai_version.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/version/invokeai_version.py b/invokeai/version/invokeai_version.py
index 2e0d56b8ff..bede8666bc 100644
--- a/invokeai/version/invokeai_version.py
+++ b/invokeai/version/invokeai_version.py
@@ -1 +1 @@
-__version__ = "3.0.1post3"
+__version__ = "3.0.2a1"

From c076f1397ef75c515e9e6af78d6fbfae81c6181e Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Fri, 4 Aug 2023 18:12:56 -0400
Subject: [PATCH 074/287] rebuild frontend

---
 .../frontend/web/dist/assets/App-3594329a.js  | 169 ++++++++++++++++++
 .../frontend/web/dist/assets/App-44cdaaf3.js  | 169 ------------------
 .../dist/assets/MantineProvider-b20a2267.js   |   1 -
 ...f38.js => ThemeLocaleProvider-31ab5c15.js} |   2 +-
 .../web/dist/assets/index-18f2f740.js         | 125 -------------
 .../web/dist/assets/index-de589048.js         | 151 ++++++++++++++++
 .../frontend/web/dist/assets/menu-11348abc.js |   1 +
 invokeai/frontend/web/dist/index.html         |   2 +-
 invokeai/frontend/web/dist/locales/en.json    |   3 +-
 9 files changed, 325 insertions(+), 298 deletions(-)
 create mode 100644 invokeai/frontend/web/dist/assets/App-3594329a.js
 delete mode 100644 invokeai/frontend/web/dist/assets/App-44cdaaf3.js
 delete mode 100644 invokeai/frontend/web/dist/assets/MantineProvider-b20a2267.js
 rename invokeai/frontend/web/dist/assets/{ThemeLocaleProvider-a4dc3f38.js => ThemeLocaleProvider-31ab5c15.js} (99%)
 delete mode 100644 invokeai/frontend/web/dist/assets/index-18f2f740.js
 create mode 100644 invokeai/frontend/web/dist/assets/index-de589048.js
 create mode 100644 invokeai/frontend/web/dist/assets/menu-11348abc.js

diff --git a/invokeai/frontend/web/dist/assets/App-3594329a.js b/invokeai/frontend/web/dist/assets/App-3594329a.js
new file mode 100644
index 0000000000..825a007449
--- /dev/null
+++ b/invokeai/frontend/web/dist/assets/App-3594329a.js
@@ -0,0 +1,169 @@
+import{t as Sv,r as dR,i as Cv,a as Tc,b as P_,S as j_,c as I_,d as E_,e as kv,f as O_,g as _v,h as fR,j as pR,k as hR,l as mR,m as R_,n as gR,o as vR,p as bR,q as M_,s as yR,u as xR,v as wR,w as SR,x as CR,y as kR,z as _R,A as f,B as i,C as lm,D as $p,E as PR,F as D_,G as A_,H as jR,P as gd,I as K1,J as IR,K as ER,L as OR,M as RR,N as MR,O as DR,Q as AR,R as V2,T as TR,U as Ae,V as je,W as Ct,X as et,Y as vd,Z as mo,_ as Er,$ as Fr,a0 as qn,a1 as hl,a2 as ia,a3 as Ft,a4 as rs,a5 as nc,a6 as za,a7 as cm,a8 as X1,a9 as bd,aa as sr,ab as NR,ac as H,ad as U2,ae as $R,af as Pv,ag as Nc,ah as LR,ai as T_,aj as N_,ak as $c,al as zR,am as be,an as Je,ao as Zt,ap as B,aq as BR,ar as G2,as as FR,at as HR,au as q2,av as te,aw as WR,ax as On,ay as Mn,az as Re,aA as W,aB as Ys,aC as lt,aD as Kn,aE as $_,aF as VR,aG as UR,aH as GR,aI as qR,aJ as ki,aK as Y1,aL as Ds,aM as jo,aN as um,aO as KR,aP as XR,aQ as K2,aR as Q1,aS as wa,aT as YR,aU as L_,aV as z_,aW as X2,aX as QR,aY as JR,aZ as B_,a_ as F_,a$ as J1,b0 as ZR,b1 as e7,b2 as t7,b3 as Al,b4 as n7,b5 as r7,b6 as o7,b7 as s7,b8 as Y2,b9 as di,ba as Z1,bb as Lp,bc as dm,bd as H_,be as W_,bf as Is,bg as V_,bh as a7,bi as Lc,bj as U_,bk as G_,bl as Es,bm as ju,bn as zp,bo as i7,bp as l7,bq as c7,br as u7,bs as Nf,bt as $f,bu as pu,bv as g0,bw as $u,bx as Lu,by as zu,bz as Bu,bA as Q2,bB as Bp,bC as v0,bD as Fp,bE as J2,bF as jv,bG as b0,bH as Iv,bI as y0,bJ as Hp,bK as Z2,bL as vc,bM as ew,bN as bc,bO as tw,bP as Wp,bQ as eb,bR as d7,bS as q_,bT as Ev,bU as Ov,bV as K_,bW as f7,bX as Rv,bY as p7,bZ as Mv,b_ as tb,b$ as nb,c0 as fm,c1 as h7,c2 as pm,c3 as Yl,c4 as X_,c5 as m7,c6 as Pp,c7 as rb,c8 as Y_,c9 as g7,ca as Lf,cb as Q_,cc as J_,cd as nw,ce as Ba,cf as v7,cg as Dv,ch as b7,ci as y7,cj as x7,ck as w7,cl as ob,cm as sb,cn as S7,co as Bn,cp as rw,cq as Z_,cr as C7,cs as k7,ct as _7,cu as P7,cv as j7,cw as I7,cx as E7,cy as O7,cz as R7,cA as e5,cB as M7,cC as D7,cD as A7,cE as T7,cF as N7,cG as $7,cH as L7,cI as z7,cJ as 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n=this,r=this.props.size,o=function(c){if(typeof n.state[c]>"u"||n.state[c]==="auto")return"auto";if(n.propsSize&&n.propsSize[c]&&n.propsSize[c].toString().endsWith("%")){if(n.state[c].toString().endsWith("%"))return n.state[c].toString();var d=n.getParentSize(),p=Number(n.state[c].toString().replace("px","")),h=p/d[c]*100;return h+"%"}return Z0(n.state[c])},s=r&&typeof r.width<"u"&&!this.state.isResizing?Z0(r.width):o("width"),a=r&&typeof r.height<"u"&&!this.state.isResizing?Z0(r.height):o("height");return{width:s,height:a}},enumerable:!1,configurable:!0}),t.prototype.getParentSize=function(){if(!this.parentNode)return this.window?{width:this.window.innerWidth,height:this.window.innerHeight}:{width:0,height:0};var n=this.appendBase();if(!n)return{width:0,height:0};var r=!1,o=this.parentNode.style.flexWrap;o!=="wrap"&&(r=!0,this.parentNode.style.flexWrap="wrap"),n.style.position="relative",n.style.minWidth="100%",n.style.minHeight="100%";var s={width:n.offsetWidth,height:n.offsetHeight};return r&&(this.parentNode.style.flexWrap=o),this.removeBase(n),s},t.prototype.bindEvents=function(){this.window&&(this.window.addEventListener("mouseup",this.onMouseUp),this.window.addEventListener("mousemove",this.onMouseMove),this.window.addEventListener("mouseleave",this.onMouseUp),this.window.addEventListener("touchmove",this.onMouseMove,{capture:!0,passive:!1}),this.window.addEventListener("touchend",this.onMouseUp))},t.prototype.unbindEvents=function(){this.window&&(this.window.removeEventListener("mouseup",this.onMouseUp),this.window.removeEventListener("mousemove",this.onMouseMove),this.window.removeEventListener("mouseleave",this.onMouseUp),this.window.removeEventListener("touchmove",this.onMouseMove,!0),this.window.removeEventListener("touchend",this.onMouseUp))},t.prototype.componentDidMount=function(){if(!(!this.resizable||!this.window)){var n=this.window.getComputedStyle(this.resizable);this.setState({width:this.state.width||this.size.width,height:this.state.height||this.size.height,flexBasis:n.flexBasis!=="auto"?n.flexBasis:void 0})}},t.prototype.componentWillUnmount=function(){this.window&&this.unbindEvents()},t.prototype.createSizeForCssProperty=function(n,r){var o=this.propsSize&&this.propsSize[r];return this.state[r]==="auto"&&this.state.original[r]===n&&(typeof o>"u"||o==="auto")?"auto":n},t.prototype.calculateNewMaxFromBoundary=function(n,r){var o=this.props.boundsByDirection,s=this.state.direction,a=o&&Ul("left",s),c=o&&Ul("top",s),d,p;if(this.props.bounds==="parent"){var h=this.parentNode;h&&(d=a?this.resizableRight-this.parentLeft:h.offsetWidth+(this.parentLeft-this.resizableLeft),p=c?this.resizableBottom-this.parentTop:h.offsetHeight+(this.parentTop-this.resizableTop))}else 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Ul("right",c)&&(b=d.width+(n-d.x)*s/o,h&&(w=(b-S)/this.ratio+y)),Ul("left",c)&&(b=d.width-(n-d.x)*s/o,h&&(w=(b-S)/this.ratio+y)),Ul("bottom",c)&&(w=d.height+(r-d.y)*s/o,h&&(b=(w-y)*this.ratio+S)),Ul("top",c)&&(w=d.height-(r-d.y)*s/o,h&&(b=(w-y)*this.ratio+S)),{newWidth:b,newHeight:w}},t.prototype.calculateNewSizeFromAspectRatio=function(n,r,o,s){var a=this.props,c=a.lockAspectRatio,d=a.lockAspectRatioExtraHeight,p=a.lockAspectRatioExtraWidth,h=typeof s.width>"u"?10:s.width,m=typeof o.width>"u"||o.width<0?n:o.width,v=typeof s.height>"u"?10:s.height,b=typeof o.height>"u"||o.height<0?r:o.height,w=d||0,y=p||0;if(c){var S=(v-w)*this.ratio+y,k=(b-w)*this.ratio+y,_=(h-y)/this.ratio+w,P=(m-y)/this.ratio+w,I=Math.max(h,S),E=Math.min(m,k),O=Math.max(v,_),R=Math.min(b,P);n=cp(n,I,E),r=cp(r,O,R)}else n=cp(n,h,m),r=cp(r,v,b);return{newWidth:n,newHeight:r}},t.prototype.setBoundingClientRect=function(){if(this.props.bounds==="parent"){var n=this.parentNode;if(n){var r=n.getBoundingClientRect();this.parentLeft=r.left,this.parentTop=r.top}}if(this.props.bounds&&typeof this.props.bounds!="string"){var o=this.props.bounds.getBoundingClientRect();this.targetLeft=o.left,this.targetTop=o.top}if(this.resizable){var s=this.resizable.getBoundingClientRect(),a=s.left,c=s.top,d=s.right,p=s.bottom;this.resizableLeft=a,this.resizableRight=d,this.resizableTop=c,this.resizableBottom=p}},t.prototype.onResizeStart=function(n,r){if(!(!this.resizable||!this.window)){var o=0,s=0;if(n.nativeEvent&&pY(n.nativeEvent)?(o=n.nativeEvent.clientX,s=n.nativeEvent.clientY):n.nativeEvent&&up(n.nativeEvent)&&(o=n.nativeEvent.touches[0].clientX,s=n.nativeEvent.touches[0].clientY),this.props.onResizeStart&&this.resizable){var a=this.props.onResizeStart(n,r,this.resizable);if(a===!1)return}this.props.size&&(typeof this.props.size.height<"u"&&this.props.size.height!==this.state.height&&this.setState({height:this.props.size.height}),typeof 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function(Ce,Xe){(_e.internalActions.updateSubscriptionOptions.match(Ce)||_e.internalActions.unsubscribeQueryResult.match(Ce))&&ft(Ce.payload,Xe),(he.pending.match(Ce)||he.rejected.match(Ce)&&Ce.meta.condition)&&ft(Ce.meta.arg,Xe),(he.fulfilled.match(Ce)||he.rejected.match(Ce)&&!Ce.meta.condition)&&Ht(Ce.meta.arg,Xe),_e.util.resetApiState.match(Ce)&&function(){for(var jt=0,Et=Object.keys(ot);jt<Et.length;jt++)xt(Et[jt])}()}},Fn=I(Lo),Hn=new Error("Promise never resolved before cacheEntryRemoved."),Wn=function(J){var ee=J.api,he=J.reducerPath,_e=J.context,me=J.queryThunk,ut=J.mutationThunk,ot=(0,Fn.isAsyncThunkAction)(me),Ht=(0,Fn.isAsyncThunkAction)(ut),ft=(0,Fn.isFulfilled)(me,ut),xt={};function He(Ce,Xe,jt,Et,Nt){var qt=_e.endpointDefinitions[Ce],tn=qt==null?void 0:qt.onCacheEntryAdded;if(tn){var en={},Ut=new Promise(function(Gt){en.cacheEntryRemoved=Gt}),Be=Promise.race([new Promise(function(Gt){en.valueResolved=Gt}),Ut.then(function(){throw Hn})]);Be.catch(function(){}),xt[jt]=en;var yt=ee.endpoints[Ce].select(qt.type===U.query?Xe:jt),Mt=Et.dispatch(function(Gt,un,sn){return sn}),Wt=k(S({},Et),{getCacheEntry:function(){return yt(Et.getState())},requestId:Nt,extra:Mt,updateCachedData:qt.type===U.query?function(Gt){return Et.dispatch(ee.util.updateQueryData(Ce,Xe,Gt))}:void 0,cacheDataLoaded:Be,cacheEntryRemoved:Ut}),jn=tn(Xe,Wt);Promise.resolve(jn).catch(function(Gt){if(Gt!==Hn)throw Gt})}}return function(Ce,Xe,jt){var Et=function(yt){return ot(yt)?yt.meta.arg.queryCacheKey:Ht(yt)?yt.meta.requestId:ee.internalActions.removeQueryResult.match(yt)?yt.payload.queryCacheKey:ee.internalActions.removeMutationResult.match(yt)?Se(yt.payload):""}(Ce);if(me.pending.match(Ce)){var Nt=jt[he].queries[Et],qt=Xe.getState()[he].queries[Et];!Nt&&qt&&He(Ce.meta.arg.endpointName,Ce.meta.arg.originalArgs,Et,Xe,Ce.meta.requestId)}else if(ut.pending.match(Ce))(qt=Xe.getState()[he].mutations[Et])&&He(Ce.meta.arg.endpointName,Ce.meta.arg.originalArgs,Et,Xe,Ce.meta.requestId);else if(ft(Ce))(Be=xt[Et])!=null&&Be.valueResolved&&(Be.valueResolved({data:Ce.payload,meta:Ce.meta.baseQueryMeta}),delete Be.valueResolved);else if(ee.internalActions.removeQueryResult.match(Ce)||ee.internalActions.removeMutationResult.match(Ce))(Be=xt[Et])&&(delete xt[Et],Be.cacheEntryRemoved());else if(ee.util.resetApiState.match(Ce))for(var tn=0,en=Object.entries(xt);tn<en.length;tn++){var Ut=en[tn],Be=Ut[1];delete xt[Ut[0]],Be.cacheEntryRemoved()}}},Nr=I(Lo),Do=function(J){var ee=J.api,he=J.context,_e=J.queryThunk,me=J.mutationThunk,ut=(0,Nr.isPending)(_e,me),ot=(0,Nr.isRejected)(_e,me),Ht=(0,Nr.isFulfilled)(_e,me),ft={};return function(xt,He){var Ce,Xe,jt;if(ut(xt)){var Et=xt.meta,Nt=Et.requestId,qt=Et.arg,tn=qt.endpointName,en=qt.originalArgs,Ut=he.endpointDefinitions[tn],Be=Ut==null?void 0:Ut.onQueryStarted;if(Be){var yt={},Mt=new Promise(function(Jn,It){yt.resolve=Jn,yt.reject=It});Mt.catch(function(){}),ft[Nt]=yt;var Wt=ee.endpoints[tn].select(Ut.type===U.query?en:Nt),jn=He.dispatch(function(Jn,It,In){return In}),Gt=k(S({},He),{getCacheEntry:function(){return Wt(He.getState())},requestId:Nt,extra:jn,updateCachedData:Ut.type===U.query?function(Jn){return He.dispatch(ee.util.updateQueryData(tn,en,Jn))}:void 0,queryFulfilled:Mt});Be(en,Gt)}}else if(Ht(xt)){var un=xt.meta,sn=un.baseQueryMeta;(Ce=ft[Nt=un.requestId])==null||Ce.resolve({data:xt.payload,meta:sn}),delete ft[Nt]}else if(ot(xt)){var Or=xt.meta;sn=Or.baseQueryMeta,(jt=ft[Nt=Or.requestId])==null||jt.reject({error:(Xe=xt.payload)!=null?Xe:xt.error,isUnhandledError:!Or.rejectedWithValue,meta:sn}),delete ft[Nt]}}},Wr=function(J){var ee=J.api,he=J.context.apiUid;return function(_e,me){ee.util.resetApiState.match(_e)&&me.dispatch(ee.internalActions.middlewareRegistered(he))}},Vr=I(wu),ds=typeof queueMicrotask=="function"?queueMicrotask.bind(typeof window<"u"?window:typeof Al<"u"?Al:globalThis):function(J){return(zt||(zt=Promise.resolve())).then(J).catch(function(ee){return setTimeout(function(){throw ee},0)})};function $r(J){for(var ee=[],he=1;he<arguments.length;he++)ee[he-1]=arguments[he];Object.assign.apply(Object,o([J],ee))}var $s=I(wu),fs=Symbol(),da=function(){return{name:fs,init:function(J,ee,he){var _e=ee.baseQuery,me=ee.reducerPath,ut=ee.serializeQueryArgs,ot=ee.keepUnusedDataFor,Ht=ee.refetchOnMountOrArgChange,ft=ee.refetchOnFocus,xt=ee.refetchOnReconnect;(0,$s.enablePatches)();var He=function(It){return It};Object.assign(J,{reducerPath:me,endpoints:{},internalActions:{onOnline:fe,onOffline:ie,onFocus:Y,onFocusLost:ae},util:{}});var Ce=function(It){var In=this,Rn=It.reducerPath,Zn=It.baseQuery,mr=It.context.endpointDefinitions,Tn=It.serializeQueryArgs,Nn=It.api,dn=function(qe,Ot){return E(In,[qe,Ot],function(St,st){var wt,Bt,mt,rt,Oe,Ie,De,We,Ze,Dt,Rt,Ve,nn,xn=st.signal,hn=st.abort,gr=st.rejectWithValue,Xn=st.fulfillWithValue,gn=st.dispatch,Vn=st.getState,ao=st.extra;return r(this,function(fn){switch(fn.label){case 0:wt=mr[St.endpointName],fn.label=1;case 1:return fn.trys.push([1,8,,13]),Bt=kt,mt=void 0,rt={signal:xn,abort:hn,dispatch:gn,getState:Vn,extra:ao,endpoint:St.endpointName,type:St.type,forced:St.type==="query"?Sn(St,Vn()):void 0},(Oe=St.type==="query"?St[xe]:void 0)?(mt=Oe(),[3,6]):[3,2];case 2:return wt.query?[4,Zn(wt.query(St.originalArgs),rt,wt.extraOptions)]:[3,4];case 3:return mt=fn.sent(),wt.transformResponse&&(Bt=wt.transformResponse),[3,6];case 4:return[4,wt.queryFn(St.originalArgs,rt,wt.extraOptions,function($n){return Zn($n,rt,wt.extraOptions)})];case 5:mt=fn.sent(),fn.label=6;case 6:if(mt.error)throw new q(mt.error,mt.meta);return Ie=Xn,[4,Bt(mt.data,mt.meta,St.originalArgs)];case 7:return[2,Ie.apply(void 0,[fn.sent(),(Ve={fulfilledTimeStamp:Date.now(),baseQueryMeta:mt.meta},Ve[$e.SHOULD_AUTOBATCH]=!0,Ve)])];case 8:if(De=fn.sent(),!((We=De)instanceof q))return[3,12];Ze=kt,wt.query&&wt.transformErrorResponse&&(Ze=wt.transformErrorResponse),fn.label=9;case 9:return fn.trys.push([9,11,,12]),Dt=gr,[4,Ze(We.value,We.meta,St.originalArgs)];case 10:return[2,Dt.apply(void 0,[fn.sent(),(nn={baseQueryMeta:We.meta},nn[$e.SHOULD_AUTOBATCH]=!0,nn)])];case 11:return Rt=fn.sent(),We=Rt,[3,12];case 12:throw console.error(We),We;case 13:return[2]}})})};function Sn(qe,Ot){var St,st,wt,Bt,mt=(st=(St=Ot[Rn])==null?void 0:St.queries)==null?void 0:st[qe.queryCacheKey],rt=(wt=Ot[Rn])==null?void 0:wt.config.refetchOnMountOrArgChange,Oe=mt==null?void 0:mt.fulfilledTimeStamp,Ie=(Bt=qe.forceRefetch)!=null?Bt:qe.subscribe&&rt;return!!Ie&&(Ie===!0||(Number(new Date)-Number(Oe))/1e3>=Ie)}var En=(0,$e.createAsyncThunk)(Rn+"/executeQuery",dn,{getPendingMeta:function(){var qe;return(qe={startedTimeStamp:Date.now()})[$e.SHOULD_AUTOBATCH]=!0,qe},condition:function(qe,Ot){var St,st,wt,Bt=(0,Ot.getState)(),mt=(st=(St=Bt[Rn])==null?void 0:St.queries)==null?void 0:st[qe.queryCacheKey],rt=mt==null?void 0:mt.fulfilledTimeStamp,Oe=qe.originalArgs,Ie=mt==null?void 0:mt.originalArgs,De=mr[qe.endpointName];return!(!de(qe)&&((mt==null?void 0:mt.status)==="pending"||!Sn(qe,Bt)&&(!oe(De)||!((wt=De==null?void 0:De.forceRefetch)!=null&&wt.call(De,{currentArg:Oe,previousArg:Ie,endpointState:mt,state:Bt})))&&rt))},dispatchConditionRejection:!0}),bn=(0,$e.createAsyncThunk)(Rn+"/executeMutation",dn,{getPendingMeta:function(){var qe;return(qe={startedTimeStamp:Date.now()})[$e.SHOULD_AUTOBATCH]=!0,qe}});function yn(qe){return function(Ot){var St,st;return((st=(St=Ot==null?void 0:Ot.meta)==null?void 0:St.arg)==null?void 0:st.endpointName)===qe}}return{queryThunk:En,mutationThunk:bn,prefetch:function(qe,Ot,St){return function(st,wt){var Bt=function(De){return"force"in De}(St)&&St.force,mt=function(De){return"ifOlderThan"in De}(St)&&St.ifOlderThan,rt=function(De){return De===void 0&&(De=!0),Nn.endpoints[qe].initiate(Ot,{forceRefetch:De})},Oe=Nn.endpoints[qe].select(Ot)(wt());if(Bt)st(rt());else if(mt){var Ie=Oe==null?void 0:Oe.fulfilledTimeStamp;if(!Ie)return void st(rt());(Number(new Date)-Number(new Date(Ie)))/1e3>=mt&&st(rt())}else st(rt(!1))}},updateQueryData:function(qe,Ot,St){return function(st,wt){var Bt,mt,rt=Nn.endpoints[qe].select(Ot)(wt()),Oe={patches:[],inversePatches:[],undo:function(){return st(Nn.util.patchQueryData(qe,Ot,Oe.inversePatches))}};if(rt.status===t.uninitialized)return Oe;if("data"in rt)if((0,Ee.isDraftable)(rt.data)){var Ie=(0,Ee.produceWithPatches)(rt.data,St),De=Ie[2];(Bt=Oe.patches).push.apply(Bt,Ie[1]),(mt=Oe.inversePatches).push.apply(mt,De)}else{var We=St(rt.data);Oe.patches.push({op:"replace",path:[],value:We}),Oe.inversePatches.push({op:"replace",path:[],value:rt.data})}return st(Nn.util.patchQueryData(qe,Ot,Oe.patches)),Oe}},upsertQueryData:function(qe,Ot,St){return function(st){var wt;return st(Nn.endpoints[qe].initiate(Ot,((wt={subscribe:!1,forceRefetch:!0})[xe]=function(){return{data:St}},wt)))}},patchQueryData:function(qe,Ot,St){return function(st){st(Nn.internalActions.queryResultPatched({queryCacheKey:Tn({queryArgs:Ot,endpointDefinition:mr[qe],endpointName:qe}),patches:St}))}},buildMatchThunkActions:function(qe,Ot){return{matchPending:(0,Te.isAllOf)((0,Te.isPending)(qe),yn(Ot)),matchFulfilled:(0,Te.isAllOf)((0,Te.isFulfilled)(qe),yn(Ot)),matchRejected:(0,Te.isAllOf)((0,Te.isRejected)(qe),yn(Ot))}}}}({baseQuery:_e,reducerPath:me,context:he,api:J,serializeQueryArgs:ut}),Xe=Ce.queryThunk,jt=Ce.mutationThunk,Et=Ce.patchQueryData,Nt=Ce.updateQueryData,qt=Ce.upsertQueryData,tn=Ce.prefetch,en=Ce.buildMatchThunkActions,Ut=function(It){var In=It.reducerPath,Rn=It.queryThunk,Zn=It.mutationThunk,mr=It.context,Tn=mr.endpointDefinitions,Nn=mr.apiUid,dn=mr.extractRehydrationInfo,Sn=mr.hasRehydrationInfo,En=It.assertTagType,bn=It.config,yn=(0,ge.createAction)(In+"/resetApiState"),qe=(0,ge.createSlice)({name:In+"/queries",initialState:Pt,reducers:{removeQueryResult:{reducer:function(rt,Oe){delete rt[Oe.payload.queryCacheKey]},prepare:(0,ge.prepareAutoBatched)()},queryResultPatched:function(rt,Oe){var Ie=Oe.payload,De=Ie.patches;bt(rt,Ie.queryCacheKey,function(We){We.data=(0,vt.applyPatches)(We.data,De.concat())})}},extraReducers:function(rt){rt.addCase(Rn.pending,function(Oe,Ie){var De,We=Ie.meta,Ze=Ie.meta.arg,Dt=de(Ze);(Ze.subscribe||Dt)&&(Oe[De=Ze.queryCacheKey]!=null||(Oe[De]={status:t.uninitialized,endpointName:Ze.endpointName})),bt(Oe,Ze.queryCacheKey,function(Rt){Rt.status=t.pending,Rt.requestId=Dt&&Rt.requestId?Rt.requestId:We.requestId,Ze.originalArgs!==void 0&&(Rt.originalArgs=Ze.originalArgs),Rt.startedTimeStamp=We.startedTimeStamp})}).addCase(Rn.fulfilled,function(Oe,Ie){var De=Ie.meta,We=Ie.payload;bt(Oe,De.arg.queryCacheKey,function(Ze){var Dt;if(Ze.requestId===De.requestId||de(De.arg)){var Rt=Tn[De.arg.endpointName].merge;if(Ze.status=t.fulfilled,Rt)if(Ze.data!==void 0){var Ve=De.fulfilledTimeStamp,nn=De.arg,xn=De.baseQueryMeta,hn=De.requestId,gr=(0,ge.createNextState)(Ze.data,function(Xn){return Rt(Xn,We,{arg:nn.originalArgs,baseQueryMeta:xn,fulfilledTimeStamp:Ve,requestId:hn})});Ze.data=gr}else Ze.data=We;else Ze.data=(Dt=Tn[De.arg.endpointName].structuralSharing)==null||Dt?M((0,on.isDraft)(Ze.data)?(0,vt.original)(Ze.data):Ze.data,We):We;delete Ze.error,Ze.fulfilledTimeStamp=De.fulfilledTimeStamp}})}).addCase(Rn.rejected,function(Oe,Ie){var De=Ie.meta,We=De.condition,Ze=De.requestId,Dt=Ie.error,Rt=Ie.payload;bt(Oe,De.arg.queryCacheKey,function(Ve){if(!We){if(Ve.requestId!==Ze)return;Ve.status=t.rejected,Ve.error=Rt??Dt}})}).addMatcher(Sn,function(Oe,Ie){for(var De=dn(Ie).queries,We=0,Ze=Object.entries(De);We<Ze.length;We++){var Dt=Ze[We],Rt=Dt[1];(Rt==null?void 0:Rt.status)!==t.fulfilled&&(Rt==null?void 0:Rt.status)!==t.rejected||(Oe[Dt[0]]=Rt)}})}}),Ot=(0,ge.createSlice)({name:In+"/mutations",initialState:Pt,reducers:{removeMutationResult:{reducer:function(rt,Oe){var Ie=Se(Oe.payload);Ie in rt&&delete rt[Ie]},prepare:(0,ge.prepareAutoBatched)()}},extraReducers:function(rt){rt.addCase(Zn.pending,function(Oe,Ie){var De=Ie.meta,We=De.requestId,Ze=De.arg,Dt=De.startedTimeStamp;Ze.track&&(Oe[Se(Ie.meta)]={requestId:We,status:t.pending,endpointName:Ze.endpointName,startedTimeStamp:Dt})}).addCase(Zn.fulfilled,function(Oe,Ie){var De=Ie.payload,We=Ie.meta;We.arg.track&&Me(Oe,We,function(Ze){Ze.requestId===We.requestId&&(Ze.status=t.fulfilled,Ze.data=De,Ze.fulfilledTimeStamp=We.fulfilledTimeStamp)})}).addCase(Zn.rejected,function(Oe,Ie){var De=Ie.payload,We=Ie.error,Ze=Ie.meta;Ze.arg.track&&Me(Oe,Ze,function(Dt){Dt.requestId===Ze.requestId&&(Dt.status=t.rejected,Dt.error=De??We)})}).addMatcher(Sn,function(Oe,Ie){for(var De=dn(Ie).mutations,We=0,Ze=Object.entries(De);We<Ze.length;We++){var Dt=Ze[We],Rt=Dt[0],Ve=Dt[1];(Ve==null?void 0:Ve.status)!==t.fulfilled&&(Ve==null?void 0:Ve.status)!==t.rejected||Rt===(Ve==null?void 0:Ve.requestId)||(Oe[Rt]=Ve)}})}}),St=(0,ge.createSlice)({name:In+"/invalidation",initialState:Pt,reducers:{},extraReducers:function(rt){rt.addCase(qe.actions.removeQueryResult,function(Oe,Ie){for(var De=Ie.payload.queryCacheKey,We=0,Ze=Object.values(Oe);We<Ze.length;We++)for(var Dt=0,Rt=Object.values(Ze[We]);Dt<Rt.length;Dt++){var Ve=Rt[Dt],nn=Ve.indexOf(De);nn!==-1&&Ve.splice(nn,1)}}).addMatcher(Sn,function(Oe,Ie){for(var De,We,Ze,Dt,Rt=dn(Ie).provided,Ve=0,nn=Object.entries(Rt);Ve<nn.length;Ve++)for(var xn=nn[Ve],hn=xn[0],gr=0,Xn=Object.entries(xn[1]);gr<Xn.length;gr++)for(var gn=Xn[gr],Vn=gn[0],ao=gn[1],fn=(Dt=(We=(De=Oe[hn])!=null?De:Oe[hn]={})[Ze=Vn||"__internal_without_id"])!=null?Dt:We[Ze]=[],$n=0,Ur=ao;$n<Ur.length;$n++){var Rr=Ur[$n];fn.includes(Rr)||fn.push(Rr)}}).addMatcher((0,ge.isAnyOf)((0,ge.isFulfilled)(Rn),(0,ge.isRejectedWithValue)(Rn)),function(Oe,Ie){for(var De,We,Ze,Dt,Rt=ct(Ie,"providesTags",Tn,En),Ve=Ie.meta.arg.queryCacheKey,nn=0,xn=Object.values(Oe);nn<xn.length;nn++)for(var hn=0,gr=Object.values(xn[nn]);hn<gr.length;hn++){var Xn=gr[hn],gn=Xn.indexOf(Ve);gn!==-1&&Xn.splice(gn,1)}for(var Vn=0,ao=Rt;Vn<ao.length;Vn++){var fn=ao[Vn],$n=fn.type,Ur=fn.id,Rr=(Dt=(We=(De=Oe[$n])!=null?De:Oe[$n]={})[Ze=Ur||"__internal_without_id"])!=null?Dt:We[Ze]=[];Rr.includes(Ve)||Rr.push(Ve)}})}}),st=(0,ge.createSlice)({name:In+"/subscriptions",initialState:Pt,reducers:{updateSubscriptionOptions:function(rt,Oe){},unsubscribeQueryResult:function(rt,Oe){},internal_probeSubscription:function(rt,Oe){}}}),wt=(0,ge.createSlice)({name:In+"/internalSubscriptions",initialState:Pt,reducers:{subscriptionsUpdated:{reducer:function(rt,Oe){return(0,vt.applyPatches)(rt,Oe.payload)},prepare:(0,ge.prepareAutoBatched)()}}}),Bt=(0,ge.createSlice)({name:In+"/config",initialState:S({online:typeof navigator>"u"||navigator.onLine===void 0||navigator.onLine,focused:typeof document>"u"||document.visibilityState!=="hidden",middlewareRegistered:!1},bn),reducers:{middlewareRegistered:function(rt,Oe){rt.middlewareRegistered=rt.middlewareRegistered!=="conflict"&&Nn===Oe.payload||"conflict"}},extraReducers:function(rt){rt.addCase(fe,function(Oe){Oe.online=!0}).addCase(ie,function(Oe){Oe.online=!1}).addCase(Y,function(Oe){Oe.focused=!0}).addCase(ae,function(Oe){Oe.focused=!1}).addMatcher(Sn,function(Oe){return S({},Oe)})}}),mt=(0,ge.combineReducers)({queries:qe.reducer,mutations:Ot.reducer,provided:St.reducer,subscriptions:wt.reducer,config:Bt.reducer});return{reducer:function(rt,Oe){return mt(yn.match(Oe)?void 0:rt,Oe)},actions:k(S(S(S(S(S({},Bt.actions),qe.actions),st.actions),wt.actions),Ot.actions),{unsubscribeMutationResult:Ot.actions.removeMutationResult,resetApiState:yn})}}({context:he,queryThunk:Xe,mutationThunk:jt,reducerPath:me,assertTagType:He,config:{refetchOnFocus:ft,refetchOnReconnect:xt,refetchOnMountOrArgChange:Ht,keepUnusedDataFor:ot,reducerPath:me}}),Be=Ut.reducer,yt=Ut.actions;$r(J.util,{patchQueryData:Et,updateQueryData:Nt,upsertQueryData:qt,prefetch:tn,resetApiState:yt.resetApiState}),$r(J.internalActions,yt);var Mt=function(It){var In=It.reducerPath,Rn=It.queryThunk,Zn=It.api,mr=It.context,Tn=mr.apiUid,Nn={invalidateTags:(0,lr.createAction)(In+"/invalidateTags")},dn=[Wr,pn,Hr,xr,Wn,Do];return{middleware:function(En){var bn=!1,yn=k(S({},It),{internalState:{currentSubscriptions:{}},refetchQuery:Sn}),qe=dn.map(function(st){return st(yn)}),Ot=function(st){var wt=st.api,Bt=st.queryThunk,mt=st.internalState,rt=wt.reducerPath+"/subscriptions",Oe=null,Ie=!1,De=wt.internalActions,We=De.updateSubscriptionOptions,Ze=De.unsubscribeQueryResult;return function(Dt,Rt){var Ve,nn;if(Oe||(Oe=JSON.parse(JSON.stringify(mt.currentSubscriptions))),wt.util.resetApiState.match(Dt))return Oe=mt.currentSubscriptions={},[!0,!1];if(wt.internalActions.internal_probeSubscription.match(Dt)){var xn=Dt.payload;return[!1,!!((Ve=mt.currentSubscriptions[xn.queryCacheKey])!=null&&Ve[xn.requestId])]}var hn=function(gn,Vn){var ao,fn,$n,Ur,Rr,Ua,Jd,Ao,fa;if(We.match(Vn)){var zs=Vn.payload,pa=zs.queryCacheKey,io=zs.requestId;return(ao=gn==null?void 0:gn[pa])!=null&&ao[io]&&(gn[pa][io]=zs.options),!0}if(Ze.match(Vn)){var lo=Vn.payload;return io=lo.requestId,gn[pa=lo.queryCacheKey]&&delete gn[pa][io],!0}if(wt.internalActions.removeQueryResult.match(Vn))return delete gn[Vn.payload.queryCacheKey],!0;if(Bt.pending.match(Vn)){var 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Ze=De.getState()[wt],Dt=Ze.queries,Rt=rt.currentSubscriptions;Bt.batch(function(){for(var Ve=0,nn=Object.keys(Rt);Ve<nn.length;Ve++){var xn=nn[Ve],hn=Dt[xn],gr=Rt[xn];gr&&hn&&(Object.values(gr).some(function(Xn){return Xn[We]===!0})||Object.values(gr).every(function(Xn){return Xn[We]===void 0})&&Ze.config[We])&&(Object.keys(gr).length===0?De.dispatch(Oe({queryCacheKey:xn})):hn.status!==t.uninitialized&&De.dispatch(mt(hn,xn)))}})}return function(De,We){Y.match(De)&&Ie(We,"refetchOnFocus"),fe.match(De)&&Ie(We,"refetchOnReconnect")}}(yn);return function(st){return function(wt){bn||(bn=!0,En.dispatch(Zn.internalActions.middlewareRegistered(Tn)));var Bt,mt=k(S({},En),{next:st}),rt=En.getState(),Oe=Ot(wt,mt,rt),Ie=Oe[1];if(Bt=Oe[0]?st(wt):Ie,En.getState()[In]&&(St(wt,mt,rt),function(Ze){return!!Ze&&typeof Ze.type=="string"&&Ze.type.startsWith(In+"/")}(wt)||mr.hasRehydrationInfo(wt)))for(var De=0,We=qe;De<We.length;De++)(0,We[De])(wt,mt,rt);return Bt}}},actions:Nn};function Sn(En,bn,yn){return yn===void 0&&(yn={}),Rn(S({type:"query",endpointName:En.endpointName,originalArgs:En.originalArgs,subscribe:!1,forceRefetch:!0,queryCacheKey:bn},yn))}}({reducerPath:me,context:he,queryThunk:Xe,mutationThunk:jt,api:J,assertTagType:He}),Wt=Mt.middleware;$r(J.util,Mt.actions),$r(J,{reducer:Be,middleware:Wt});var jn=function(It){var In=It.serializeQueryArgs,Rn=It.reducerPath,Zn=function(dn){return $t},mr=function(dn){return Lt};return{buildQuerySelector:function(dn,Sn){return function(En){var bn=In({queryArgs:En,endpointDefinition:Sn,endpointName:dn});return(0,re.createSelector)(En===Tt?Zn:function(yn){var qe,Ot,St;return(St=(Ot=(qe=Nn(yn))==null?void 0:qe.queries)==null?void 0:Ot[bn])!=null?St:$t},Tn)}},buildMutationSelector:function(){return function(dn){var Sn,En;return En=typeof dn=="object"?(Sn=Se(dn))!=null?Sn:Tt:dn,(0,re.createSelector)(En===Tt?mr:function(bn){var yn,qe,Ot;return(Ot=(qe=(yn=Nn(bn))==null?void 0:yn.mutations)==null?void 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Map,Sn=mr.internalActions,En=Sn.unsubscribeQueryResult,bn=Sn.removeMutationResult,yn=Sn.updateSubscriptionOptions;return{buildInitiateQuery:function(qe,Ot){var St=function(st,wt){var Bt=wt===void 0?{}:wt,mt=Bt.subscribe,rt=mt===void 0||mt,Oe=Bt.forceRefetch,Ie=Bt.subscriptionOptions,De=Bt[xe];return function(We,Ze){var Dt,Rt,Ve=In({queryArgs:st,endpointDefinition:Ot,endpointName:qe}),nn=Rn(((Dt={type:"query",subscribe:rt,forceRefetch:Oe,subscriptionOptions:Ie,endpointName:qe,originalArgs:st,queryCacheKey:Ve})[xe]=De,Dt)),xn=mr.endpoints[qe].select(st),hn=We(nn),gr=xn(Ze()),Xn=hn.requestId,gn=hn.abort,Vn=gr.requestId!==Xn,ao=(Rt=Nn.get(We))==null?void 0:Rt[Ve],fn=function(){return xn(Ze())},$n=Object.assign(De?hn.then(fn):Vn&&!ao?Promise.resolve(gr):Promise.all([ao,hn]).then(fn),{arg:st,requestId:Xn,subscriptionOptions:Ie,queryCacheKey:Ve,abort:gn,unwrap:function(){return E(this,null,function(){var Rr;return r(this,function(Ua){switch(Ua.label){case 0:return[4,$n];case 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Ie=Zn({type:"mutation",endpointName:qe,originalArgs:Ot,track:Bt,fixedCacheKey:mt}),De=rt(Ie),We=De.requestId,Ze=De.abort,Dt=De.unwrap,Rt=De.unwrap().then(function(hn){return{data:hn}}).catch(function(hn){return{error:hn}}),Ve=function(){rt(bn({requestId:We,fixedCacheKey:mt}))},nn=Object.assign(Rt,{arg:De.arg,requestId:We,abort:Ze,unwrap:Dt,unsubscribe:Ve,reset:Ve}),xn=dn.get(rt)||{};return dn.set(rt,xn),xn[We]=nn,nn.then(function(){delete xn[We],Object.keys(xn).length||dn.delete(rt)}),mt&&(xn[mt]=nn,nn.then(function(){xn[mt]===nn&&(delete xn[mt],Object.keys(xn).length||dn.delete(rt))})),nn}}},getRunningQueryThunk:function(qe,Ot){return function(St){var st,wt=In({queryArgs:Ot,endpointDefinition:Tn.endpointDefinitions[qe],endpointName:qe});return(st=Nn.get(St))==null?void 0:st[wt]}},getRunningMutationThunk:function(qe,Ot){return function(St){var st;return(st=dn.get(St))==null?void 0:st[Ot]}},getRunningQueriesThunk:function(){return function(qe){return 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+       Please see https://github.com/reduxjs/redux-toolkit/pull/2481 for details.
+       See https://redux-toolkit.js.org/rtk-query/usage/server-side-rendering for new guidance on SSR.`)}}}({queryThunk:Xe,mutationThunk:jt,api:J,serializeQueryArgs:ut,context:he}),Or=sn.buildInitiateQuery,Jn=sn.buildInitiateMutation;return $r(J.util,{getRunningOperationPromises:sn.getRunningOperationPromises,getRunningOperationPromise:sn.removalWarning,getRunningMutationThunk:sn.getRunningMutationThunk,getRunningMutationsThunk:sn.getRunningMutationsThunk,getRunningQueryThunk:sn.getRunningQueryThunk,getRunningQueriesThunk:sn.getRunningQueriesThunk}),{name:fs,injectEndpoint:function(It,In){var Rn,Zn=J;(Rn=Zn.endpoints)[It]!=null||(Rn[It]={}),oe(In)?$r(Zn.endpoints[It],{name:It,select:Gt(It,In),initiate:Or(It,In)},en(Xe,It)):In.type===U.mutation&&$r(Zn.endpoints[It],{name:It,select:un(),initiate:Jn(It)},en(jt,It))}}}}},Ls=Ke(da())})(FE);BE.exports=FE;var ro=BE.exports;const 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+ * @license React
+ * react-reconciler-constants.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */Cl.ConcurrentRoot=1;Cl.ContinuousEventPriority=4;Cl.DefaultEventPriority=16;Cl.DiscreteEventPriority=1;Cl.IdleEventPriority=536870912;Cl.LegacyRoot=0;g8.exports=Cl;var v8=g8.exports;const h_={children:!0,ref:!0,key:!0,style:!0,forwardedRef:!0,unstable_applyCache:!0,unstable_applyDrawHitFromCache:!0};let m_=!1,g_=!1;const fx=".react-konva-event",fle=`ReactKonva: You have a Konva node with draggable = true and position defined but no onDragMove or onDragEnd events are handled.
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+Consider to add onDragMove or onDragEnd events.
+For more info see: https://github.com/konvajs/react-konva/issues/256
+`,ple=`ReactKonva: You are using "zIndex" attribute for a Konva node.
+react-konva may get confused with ordering. Just define correct order of elements in your render function of a component.
+For more info see: https://github.com/konvajs/react-konva/issues/194
+`,hle={};function hg(e,t,n=hle){if(!m_&&"zIndex"in t&&(console.warn(ple),m_=!0),!g_&&t.draggable){var r=t.x!==void 0||t.y!==void 0,o=t.onDragEnd||t.onDragMove;r&&!o&&(console.warn(fle),g_=!0)}for(var s in n)if(!h_[s]){var a=s.slice(0,2)==="on",c=n[s]!==t[s];if(a&&c){var d=s.substr(2).toLowerCase();d.substr(0,7)==="content"&&(d="content"+d.substr(7,1).toUpperCase()+d.substr(8)),e.off(d,n[s])}var p=!t.hasOwnProperty(s);p&&e.setAttr(s,void 0)}var h=t._useStrictMode,m={},v=!1;const b={};for(var s in t)if(!h_[s]){var a=s.slice(0,2)==="on",w=n[s]!==t[s];if(a&&w){var d=s.substr(2).toLowerCase();d.substr(0,7)==="content"&&(d="content"+d.substr(7,1).toUpperCase()+d.substr(8)),t[s]&&(b[d]=t[s])}!a&&(t[s]!==n[s]||h&&t[s]!==e.getAttr(s))&&(v=!0,m[s]=t[s])}v&&(e.setAttrs(m),Di(e));for(var d in b)e.on(d+fx,b[d])}function Di(e){if(!uD.Konva.autoDrawEnabled){var t=e.getLayer()||e.getStage();t&&t.batchDraw()}}const b8={},mle={};md.Node.prototype._applyProps=hg;function gle(e,t){if(typeof t=="string"){console.error(`Do not use plain text as child of Konva.Node. 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diff --git a/invokeai/frontend/web/dist/assets/App-44cdaaf3.js b/invokeai/frontend/web/dist/assets/App-44cdaaf3.js
deleted file mode 100644
index 801b048b3a..0000000000
--- a/invokeai/frontend/web/dist/assets/App-44cdaaf3.js
+++ /dev/null
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0,bottom:"-5px"}),left:_r(_r({},_S),{left:"-5px"}),topRight:_r(_r({},Uf),{right:"-10px",top:"-10px",cursor:"ne-resize"}),bottomRight:_r(_r({},Uf),{right:"-10px",bottom:"-10px",cursor:"se-resize"}),bottomLeft:_r(_r({},Uf),{left:"-10px",bottom:"-10px",cursor:"sw-resize"}),topLeft:_r(_r({},Uf),{left:"-10px",top:"-10px",cursor:"nw-resize"})},MH=function(e){OH(t,e);function t(){var n=e!==null&&e.apply(this,arguments)||this;return n.onMouseDown=function(r){n.props.onResizeStart(r,n.props.direction)},n.onTouchStart=function(r){n.props.onResizeStart(r,n.props.direction)},n}return t.prototype.render=function(){return f.createElement("div",{className:this.props.className||"",style:_r(_r({position:"absolute",userSelect:"none"},RH[this.props.direction]),this.props.replaceStyles||{}),onMouseDown:this.onMouseDown,onTouchStart:this.onTouchStart},this.props.children)},t}(f.PureComponent),DH=globalThis&&globalThis.__extends||function(){var e=function(t,n){return e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(r,o){r.__proto__=o}||function(r,o){for(var s in o)Object.prototype.hasOwnProperty.call(o,s)&&(r[s]=o[s])},e(t,n)};return function(t,n){e(t,n);function r(){this.constructor=t}t.prototype=n===null?Object.create(n):(r.prototype=n.prototype,new r)}}(),qs=globalThis&&globalThis.__assign||function(){return qs=Object.assign||function(e){for(var t,n=1,r=arguments.length;n<r;n++){t=arguments[n];for(var o in t)Object.prototype.hasOwnProperty.call(t,o)&&(e[o]=t[o])}return e},qs.apply(this,arguments)},AH={width:"auto",height:"auto"},Gf=function(e,t,n){return Math.max(Math.min(e,n),t)},PS=function(e,t){return Math.round(e/t)*t},Fl=function(e,t){return new RegExp(e,"i").test(t)},qf=function(e){return!!(e.touches&&e.touches.length)},TH=function(e){return!!((e.clientX||e.clientX===0)&&(e.clientY||e.clientY===0))},jS=function(e,t,n){n===void 0&&(n=0);var r=t.reduce(function(s,a,c){return Math.abs(a-e)<Math.abs(t[s]-e)?c:s},0),o=Math.abs(t[r]-e);return n===0||o<n?t[r]:e},W0=function(e){return e=e.toString(),e==="auto"||e.endsWith("px")||e.endsWith("%")||e.endsWith("vh")||e.endsWith("vw")||e.endsWith("vmax")||e.endsWith("vmin")?e:e+"px"},Kf=function(e,t,n,r){if(e&&typeof e=="string"){if(e.endsWith("px"))return Number(e.replace("px",""));if(e.endsWith("%")){var o=Number(e.replace("%",""))/100;return t*o}if(e.endsWith("vw")){var o=Number(e.replace("vw",""))/100;return n*o}if(e.endsWith("vh")){var o=Number(e.replace("vh",""))/100;return r*o}}return e},NH=function(e,t,n,r,o,s,a){return r=Kf(r,e.width,t,n),o=Kf(o,e.height,t,n),s=Kf(s,e.width,t,n),a=Kf(a,e.height,t,n),{maxWidth:typeof r>"u"?void 0:Number(r),maxHeight:typeof o>"u"?void 0:Number(o),minWidth:typeof s>"u"?void 0:Number(s),minHeight:typeof a>"u"?void 0:Number(a)}},$H=["as","style","className","grid","snap","bounds","boundsByDirection","size","defaultSize","minWidth","minHeight","maxWidth","maxHeight","lockAspectRatio","lockAspectRatioExtraWidth","lockAspectRatioExtraHeight","enable","handleStyles","handleClasses","handleWrapperStyle","handleWrapperClass","children","onResizeStart","onResize","onResizeStop","handleComponent","scale","resizeRatio","snapGap"],IS="__resizable_base__",zH=function(e){DH(t,e);function t(n){var r=e.call(this,n)||this;return r.ratio=1,r.resizable=null,r.parentLeft=0,r.parentTop=0,r.resizableLeft=0,r.resizableRight=0,r.resizableTop=0,r.resizableBottom=0,r.targetLeft=0,r.targetTop=0,r.appendBase=function(){if(!r.resizable||!r.window)return null;var o=r.parentNode;if(!o)return null;var s=r.window.document.createElement("div");return s.style.width="100%",s.style.height="100%",s.style.position="absolute",s.style.transform="scale(0, 0)",s.style.left="0",s.style.flex="0 0 100%",s.classList?s.classList.add(IS):s.className+=IS,o.appendChild(s),s},r.removeBase=function(o){var s=r.parentNode;s&&s.removeChild(o)},r.ref=function(o){o&&(r.resizable=o)},r.state={isResizing:!1,width:typeof(r.propsSize&&r.propsSize.width)>"u"?"auto":r.propsSize&&r.propsSize.width,height:typeof(r.propsSize&&r.propsSize.height)>"u"?"auto":r.propsSize&&r.propsSize.height,direction:"right",original:{x:0,y:0,width:0,height:0},backgroundStyle:{height:"100%",width:"100%",backgroundColor:"rgba(0,0,0,0)",cursor:"auto",opacity:0,position:"fixed",zIndex:9999,top:"0",left:"0",bottom:"0",right:"0"},flexBasis:void 0},r.onResizeStart=r.onResizeStart.bind(r),r.onMouseMove=r.onMouseMove.bind(r),r.onMouseUp=r.onMouseUp.bind(r),r}return Object.defineProperty(t.prototype,"parentNode",{get:function(){return this.resizable?this.resizable.parentNode:null},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"window",{get:function(){return!this.resizable||!this.resizable.ownerDocument?null:this.resizable.ownerDocument.defaultView},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"propsSize",{get:function(){return this.props.size||this.props.defaultSize||AH},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"size",{get:function(){var n=0,r=0;if(this.resizable&&this.window){var o=this.resizable.offsetWidth,s=this.resizable.offsetHeight,a=this.resizable.style.position;a!=="relative"&&(this.resizable.style.position="relative"),n=this.resizable.style.width!=="auto"?this.resizable.offsetWidth:o,r=this.resizable.style.height!=="auto"?this.resizable.offsetHeight:s,this.resizable.style.position=a}return{width:n,height:r}},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"sizeStyle",{get:function(){var n=this,r=this.props.size,o=function(c){if(typeof n.state[c]>"u"||n.state[c]==="auto")return"auto";if(n.propsSize&&n.propsSize[c]&&n.propsSize[c].toString().endsWith("%")){if(n.state[c].toString().endsWith("%"))return n.state[c].toString();var d=n.getParentSize(),p=Number(n.state[c].toString().replace("px","")),h=p/d[c]*100;return h+"%"}return W0(n.state[c])},s=r&&typeof r.width<"u"&&!this.state.isResizing?W0(r.width):o("width"),a=r&&typeof r.height<"u"&&!this.state.isResizing?W0(r.height):o("height");return{width:s,height:a}},enumerable:!1,configurable:!0}),t.prototype.getParentSize=function(){if(!this.parentNode)return this.window?{width:this.window.innerWidth,height:this.window.innerHeight}:{width:0,height:0};var n=this.appendBase();if(!n)return{width:0,height:0};var r=!1,o=this.parentNode.style.flexWrap;o!=="wrap"&&(r=!0,this.parentNode.style.flexWrap="wrap"),n.style.position="relative",n.style.minWidth="100%",n.style.minHeight="100%";var s={width:n.offsetWidth,height:n.offsetHeight};return r&&(this.parentNode.style.flexWrap=o),this.removeBase(n),s},t.prototype.bindEvents=function(){this.window&&(this.window.addEventListener("mouseup",this.onMouseUp),this.window.addEventListener("mousemove",this.onMouseMove),this.window.addEventListener("mouseleave",this.onMouseUp),this.window.addEventListener("touchmove",this.onMouseMove,{capture:!0,passive:!1}),this.window.addEventListener("touchend",this.onMouseUp))},t.prototype.unbindEvents=function(){this.window&&(this.window.removeEventListener("mouseup",this.onMouseUp),this.window.removeEventListener("mousemove",this.onMouseMove),this.window.removeEventListener("mouseleave",this.onMouseUp),this.window.removeEventListener("touchmove",this.onMouseMove,!0),this.window.removeEventListener("touchend",this.onMouseUp))},t.prototype.componentDidMount=function(){if(!(!this.resizable||!this.window)){var n=this.window.getComputedStyle(this.resizable);this.setState({width:this.state.width||this.size.width,height:this.state.height||this.size.height,flexBasis:n.flexBasis!=="auto"?n.flexBasis:void 0})}},t.prototype.componentWillUnmount=function(){this.window&&this.unbindEvents()},t.prototype.createSizeForCssProperty=function(n,r){var o=this.propsSize&&this.propsSize[r];return this.state[r]==="auto"&&this.state.original[r]===n&&(typeof o>"u"||o==="auto")?"auto":n},t.prototype.calculateNewMaxFromBoundary=function(n,r){var o=this.props.boundsByDirection,s=this.state.direction,a=o&&Fl("left",s),c=o&&Fl("top",s),d,p;if(this.props.bounds==="parent"){var h=this.parentNode;h&&(d=a?this.resizableRight-this.parentLeft:h.offsetWidth+(this.parentLeft-this.resizableLeft),p=c?this.resizableBottom-this.parentTop:h.offsetHeight+(this.parentTop-this.resizableTop))}else this.props.bounds==="window"?this.window&&(d=a?this.resizableRight:this.window.innerWidth-this.resizableLeft,p=c?this.resizableBottom:this.window.innerHeight-this.resizableTop):this.props.bounds&&(d=a?this.resizableRight-this.targetLeft:this.props.bounds.offsetWidth+(this.targetLeft-this.resizableLeft),p=c?this.resizableBottom-this.targetTop:this.props.bounds.offsetHeight+(this.targetTop-this.resizableTop));return d&&Number.isFinite(d)&&(n=n&&n<d?n:d),p&&Number.isFinite(p)&&(r=r&&r<p?r:p),{maxWidth:n,maxHeight:r}},t.prototype.calculateNewSizeFromDirection=function(n,r){var o=this.props.scale||1,s=this.props.resizeRatio||1,a=this.state,c=a.direction,d=a.original,p=this.props,h=p.lockAspectRatio,m=p.lockAspectRatioExtraHeight,v=p.lockAspectRatioExtraWidth,b=d.width,w=d.height,y=m||0,S=v||0;return Fl("right",c)&&(b=d.width+(n-d.x)*s/o,h&&(w=(b-S)/this.ratio+y)),Fl("left",c)&&(b=d.width-(n-d.x)*s/o,h&&(w=(b-S)/this.ratio+y)),Fl("bottom",c)&&(w=d.height+(r-d.y)*s/o,h&&(b=(w-y)*this.ratio+S)),Fl("top",c)&&(w=d.height-(r-d.y)*s/o,h&&(b=(w-y)*this.ratio+S)),{newWidth:b,newHeight:w}},t.prototype.calculateNewSizeFromAspectRatio=function(n,r,o,s){var a=this.props,c=a.lockAspectRatio,d=a.lockAspectRatioExtraHeight,p=a.lockAspectRatioExtraWidth,h=typeof s.width>"u"?10:s.width,m=typeof o.width>"u"||o.width<0?n:o.width,v=typeof s.height>"u"?10:s.height,b=typeof o.height>"u"||o.height<0?r:o.height,w=d||0,y=p||0;if(c){var S=(v-w)*this.ratio+y,_=(b-w)*this.ratio+y,k=(h-y)/this.ratio+w,j=(m-y)/this.ratio+w,I=Math.max(h,S),E=Math.min(m,_),O=Math.max(v,k),R=Math.min(b,j);n=Gf(n,I,E),r=Gf(r,O,R)}else n=Gf(n,h,m),r=Gf(r,v,b);return{newWidth:n,newHeight:r}},t.prototype.setBoundingClientRect=function(){if(this.props.bounds==="parent"){var n=this.parentNode;if(n){var r=n.getBoundingClientRect();this.parentLeft=r.left,this.parentTop=r.top}}if(this.props.bounds&&typeof this.props.bounds!="string"){var o=this.props.bounds.getBoundingClientRect();this.targetLeft=o.left,this.targetTop=o.top}if(this.resizable){var s=this.resizable.getBoundingClientRect(),a=s.left,c=s.top,d=s.right,p=s.bottom;this.resizableLeft=a,this.resizableRight=d,this.resizableTop=c,this.resizableBottom=p}},t.prototype.onResizeStart=function(n,r){if(!(!this.resizable||!this.window)){var o=0,s=0;if(n.nativeEvent&&TH(n.nativeEvent)?(o=n.nativeEvent.clientX,s=n.nativeEvent.clientY):n.nativeEvent&&qf(n.nativeEvent)&&(o=n.nativeEvent.touches[0].clientX,s=n.nativeEvent.touches[0].clientY),this.props.onResizeStart&&this.resizable){var a=this.props.onResizeStart(n,r,this.resizable);if(a===!1)return}this.props.size&&(typeof this.props.size.height<"u"&&this.props.size.height!==this.state.height&&this.setState({height:this.props.size.height}),typeof this.props.size.width<"u"&&this.props.size.width!==this.state.width&&this.setState({width:this.props.size.width})),this.ratio=typeof this.props.lockAspectRatio=="number"?this.props.lockAspectRatio:this.size.width/this.size.height;var c,d=this.window.getComputedStyle(this.resizable);if(d.flexBasis!=="auto"){var p=this.parentNode;if(p){var h=this.window.getComputedStyle(p).flexDirection;this.flexDir=h.startsWith("row")?"row":"column",c=d.flexBasis}}this.setBoundingClientRect(),this.bindEvents();var m={original:{x:o,y:s,width:this.size.width,height:this.size.height},isResizing:!0,backgroundStyle:qs(qs({},this.state.backgroundStyle),{cursor:this.window.getComputedStyle(n.target).cursor||"auto"}),direction:r,flexBasis:c};this.setState(m)}},t.prototype.onMouseMove=function(n){var r=this;if(!(!this.state.isResizing||!this.resizable||!this.window)){if(this.window.TouchEvent&&qf(n))try{n.preventDefault(),n.stopPropagation()}catch{}var o=this.props,s=o.maxWidth,a=o.maxHeight,c=o.minWidth,d=o.minHeight,p=qf(n)?n.touches[0].clientX:n.clientX,h=qf(n)?n.touches[0].clientY:n.clientY,m=this.state,v=m.direction,b=m.original,w=m.width,y=m.height,S=this.getParentSize(),_=NH(S,this.window.innerWidth,this.window.innerHeight,s,a,c,d);s=_.maxWidth,a=_.maxHeight,c=_.minWidth,d=_.minHeight;var k=this.calculateNewSizeFromDirection(p,h),j=k.newHeight,I=k.newWidth,E=this.calculateNewMaxFromBoundary(s,a);this.props.snap&&this.props.snap.x&&(I=jS(I,this.props.snap.x,this.props.snapGap)),this.props.snap&&this.props.snap.y&&(j=jS(j,this.props.snap.y,this.props.snapGap));var O=this.calculateNewSizeFromAspectRatio(I,j,{width:E.maxWidth,height:E.maxHeight},{width:c,height:d});if(I=O.newWidth,j=O.newHeight,this.props.grid){var R=PS(I,this.props.grid[0]),M=PS(j,this.props.grid[1]),A=this.props.snapGap||0;I=A===0||Math.abs(R-I)<=A?R:I,j=A===0||Math.abs(M-j)<=A?M:j}var T={width:I-b.width,height:j-b.height};if(w&&typeof w=="string"){if(w.endsWith("%")){var $=I/S.width*100;I=$+"%"}else if(w.endsWith("vw")){var Q=I/this.window.innerWidth*100;I=Q+"vw"}else if(w.endsWith("vh")){var B=I/this.window.innerHeight*100;I=B+"vh"}}if(y&&typeof y=="string"){if(y.endsWith("%")){var $=j/S.height*100;j=$+"%"}else if(y.endsWith("vw")){var Q=j/this.window.innerWidth*100;j=Q+"vw"}else if(y.endsWith("vh")){var B=j/this.window.innerHeight*100;j=B+"vh"}}var V={width:this.createSizeForCssProperty(I,"width"),height:this.createSizeForCssProperty(j,"height")};this.flexDir==="row"?V.flexBasis=V.width:this.flexDir==="column"&&(V.flexBasis=V.height),_i.flushSync(function(){r.setState(V)}),this.props.onResize&&this.props.onResize(n,v,this.resizable,T)}},t.prototype.onMouseUp=function(n){var r=this.state,o=r.isResizing,s=r.direction,a=r.original;if(!(!o||!this.resizable)){var c={width:this.size.width-a.width,height:this.size.height-a.height};this.props.onResizeStop&&this.props.onResizeStop(n,s,this.resizable,c),this.props.size&&this.setState(this.props.size),this.unbindEvents(),this.setState({isResizing:!1,backgroundStyle:qs(qs({},this.state.backgroundStyle),{cursor:"auto"})})}},t.prototype.updateSize=function(n){this.setState({width:n.width,height:n.height})},t.prototype.renderResizer=function(){var n=this,r=this.props,o=r.enable,s=r.handleStyles,a=r.handleClasses,c=r.handleWrapperStyle,d=r.handleWrapperClass,p=r.handleComponent;if(!o)return null;var h=Object.keys(o).map(function(m){return o[m]!==!1?f.createElement(MH,{key:m,direction:m,onResizeStart:n.onResizeStart,replaceStyles:s&&s[m],className:a&&a[m]},p&&p[m]?p[m]:null):null});return f.createElement("div",{className:d,style:c},h)},t.prototype.render=function(){var n=this,r=Object.keys(this.props).reduce(function(a,c){return $H.indexOf(c)!==-1||(a[c]=n.props[c]),a},{}),o=qs(qs(qs({position:"relative",userSelect:this.state.isResizing?"none":"auto"},this.props.style),this.sizeStyle),{maxWidth:this.props.maxWidth,maxHeight:this.props.maxHeight,minWidth:this.props.minWidth,minHeight:this.props.minHeight,boxSizing:"border-box",flexShrink:0});this.state.flexBasis&&(o.flexBasis=this.state.flexBasis);var s=this.props.as||"div";return f.createElement(s,qs({ref:this.ref,style:o,className:this.props.className},r),this.state.isResizing&&f.createElement("div",{style:this.state.backgroundStyle}),this.props.children,this.renderResizer())},t.defaultProps={as:"div",onResizeStart:function(){},onResize:function(){},onResizeStop:function(){},enable:{top:!0,right:!0,bottom:!0,left:!0,topRight:!0,bottomRight:!0,bottomLeft:!0,topLeft:!0},style:{},grid:[1,1],lockAspectRatio:!1,lockAspectRatioExtraWidth:0,lockAspectRatioExtraHeight:0,scale:1,resizeRatio:1,snapGap:0},t}(f.PureComponent);const LH=({direction:e,langDirection:t})=>({top:e==="bottom",right:t!=="rtl"&&e==="left"||t==="rtl"&&e==="right",bottom:e==="top",left:t!=="rtl"&&e==="right"||t==="rtl"&&e==="left"}),BH=({direction:e,minWidth:t,maxWidth:n,minHeight:r,maxHeight:o})=>{const s=t??(["left","right"].includes(e)?10:void 0),a=n??(["left","right"].includes(e)?"95vw":void 0),c=r??(["top","bottom"].includes(e)?10:void 0),d=o??(["top","bottom"].includes(e)?"95vh":void 0);return{...s?{minWidth:s}:{},...a?{maxWidth:a}:{},...c?{minHeight:c}:{},...d?{maxHeight:d}:{}}},ba="0.75rem",Xf="1rem",mu="5px",FH=({isResizable:e,direction:t})=>{const n=`calc((2 * ${ba} + ${mu}) / -2)`;return 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0,[fn.sent(),(Ve={fulfilledTimeStamp:Date.now(),baseQueryMeta:mt.meta},Ve[$e.SHOULD_AUTOBATCH]=!0,Ve)])];case 8:if(De=fn.sent(),!((We=De)instanceof q))return[3,12];tt=kt,wt.query&&wt.transformErrorResponse&&(tt=wt.transformErrorResponse),fn.label=9;case 9:return fn.trys.push([9,11,,12]),Dt=gr,[4,tt(We.value,We.meta,St.originalArgs)];case 10:return[2,Dt.apply(void 0,[fn.sent(),(nn={baseQueryMeta:We.meta},nn[$e.SHOULD_AUTOBATCH]=!0,nn)])];case 11:return Rt=fn.sent(),We=Rt,[3,12];case 12:throw console.error(We),We;case 13:return[2]}})})};function Sn(Xe,Ot){var St,at,wt,Bt,mt=(at=(St=Ot[Rn])==null?void 0:St.queries)==null?void 0:at[Xe.queryCacheKey],ot=(wt=Ot[Rn])==null?void 0:wt.config.refetchOnMountOrArgChange,Re=mt==null?void 0:mt.fulfilledTimeStamp,Ie=(Bt=Xe.forceRefetch)!=null?Bt:Xe.subscribe&&ot;return!!Ie&&(Ie===!0||(Number(new Date)-Number(Re))/1e3>=Ie)}var En=(0,$e.createAsyncThunk)(Rn+"/executeQuery",dn,{getPendingMeta:function(){var Xe;return(Xe={startedTimeStamp:Date.now()})[$e.SHOULD_AUTOBATCH]=!0,Xe},condition:function(Xe,Ot){var St,at,wt,Bt=(0,Ot.getState)(),mt=(at=(St=Bt[Rn])==null?void 0:St.queries)==null?void 0:at[Xe.queryCacheKey],ot=mt==null?void 0:mt.fulfilledTimeStamp,Re=Xe.originalArgs,Ie=mt==null?void 0:mt.originalArgs,De=mr[Xe.endpointName];return!(!de(Xe)&&((mt==null?void 0:mt.status)==="pending"||!Sn(Xe,Bt)&&(!oe(De)||!((wt=De==null?void 0:De.forceRefetch)!=null&&wt.call(De,{currentArg:Re,previousArg:Ie,endpointState:mt,state:Bt})))&&ot))},dispatchConditionRejection:!0}),vn=(0,$e.createAsyncThunk)(Rn+"/executeMutation",dn,{getPendingMeta:function(){var Xe;return(Xe={startedTimeStamp:Date.now()})[$e.SHOULD_AUTOBATCH]=!0,Xe}});function bn(Xe){return function(Ot){var St,at;return((at=(St=Ot==null?void 0:Ot.meta)==null?void 0:St.arg)==null?void 0:at.endpointName)===Xe}}return{queryThunk:En,mutationThunk:vn,prefetch:function(Xe,Ot,St){return function(at,wt){var Bt=function(De){return"force"in De}(St)&&St.force,mt=function(De){return"ifOlderThan"in De}(St)&&St.ifOlderThan,ot=function(De){return De===void 0&&(De=!0),Nn.endpoints[Xe].initiate(Ot,{forceRefetch:De})},Re=Nn.endpoints[Xe].select(Ot)(wt());if(Bt)at(ot());else if(mt){var Ie=Re==null?void 0:Re.fulfilledTimeStamp;if(!Ie)return void at(ot());(Number(new Date)-Number(new Date(Ie)))/1e3>=mt&&at(ot())}else at(ot(!1))}},updateQueryData:function(Xe,Ot,St){return function(at,wt){var Bt,mt,ot=Nn.endpoints[Xe].select(Ot)(wt()),Re={patches:[],inversePatches:[],undo:function(){return at(Nn.util.patchQueryData(Xe,Ot,Re.inversePatches))}};if(ot.status===t.uninitialized)return Re;if("data"in ot)if((0,Oe.isDraftable)(ot.data)){var Ie=(0,Oe.produceWithPatches)(ot.data,St),De=Ie[2];(Bt=Re.patches).push.apply(Bt,Ie[1]),(mt=Re.inversePatches).push.apply(mt,De)}else{var We=St(ot.data);Re.patches.push({op:"replace",path:[],value:We}),Re.inversePatches.push({op:"replace",path:[],value:ot.data})}return at(Nn.util.patchQueryData(Xe,Ot,Re.patches)),Re}},upsertQueryData:function(Xe,Ot,St){return function(at){var wt;return at(Nn.endpoints[Xe].initiate(Ot,((wt={subscribe:!1,forceRefetch:!0})[xe]=function(){return{data:St}},wt)))}},patchQueryData:function(Xe,Ot,St){return function(at){at(Nn.internalActions.queryResultPatched({queryCacheKey:Tn({queryArgs:Ot,endpointDefinition:mr[Xe],endpointName:Xe}),patches:St}))}},buildMatchThunkActions:function(Xe,Ot){return{matchPending:(0,Te.isAllOf)((0,Te.isPending)(Xe),bn(Ot)),matchFulfilled:(0,Te.isAllOf)((0,Te.isFulfilled)(Xe),bn(Ot)),matchRejected:(0,Te.isAllOf)((0,Te.isRejected)(Xe),bn(Ot))}}}}({baseQuery:_e,reducerPath:me,context:he,api:J,serializeQueryArgs:ut}),Je=Ce.queryThunk,jt=Ce.mutationThunk,Et=Ce.patchQueryData,Nt=Ce.updateQueryData,qt=Ce.upsertQueryData,tn=Ce.prefetch,en=Ce.buildMatchThunkActions,Ut=function(It){var In=It.reducerPath,Rn=It.queryThunk,Zn=It.mutationThunk,mr=It.context,Tn=mr.endpointDefinitions,Nn=mr.apiUid,dn=mr.extractRehydrationInfo,Sn=mr.hasRehydrationInfo,En=It.assertTagType,vn=It.config,bn=(0,ge.createAction)(In+"/resetApiState"),Xe=(0,ge.createSlice)({name:In+"/queries",initialState:Pt,reducers:{removeQueryResult:{reducer:function(ot,Re){delete ot[Re.payload.queryCacheKey]},prepare:(0,ge.prepareAutoBatched)()},queryResultPatched:function(ot,Re){var Ie=Re.payload,De=Ie.patches;bt(ot,Ie.queryCacheKey,function(We){We.data=(0,vt.applyPatches)(We.data,De.concat())})}},extraReducers:function(ot){ot.addCase(Rn.pending,function(Re,Ie){var De,We=Ie.meta,tt=Ie.meta.arg,Dt=de(tt);(tt.subscribe||Dt)&&(Re[De=tt.queryCacheKey]!=null||(Re[De]={status:t.uninitialized,endpointName:tt.endpointName})),bt(Re,tt.queryCacheKey,function(Rt){Rt.status=t.pending,Rt.requestId=Dt&&Rt.requestId?Rt.requestId:We.requestId,tt.originalArgs!==void 0&&(Rt.originalArgs=tt.originalArgs),Rt.startedTimeStamp=We.startedTimeStamp})}).addCase(Rn.fulfilled,function(Re,Ie){var De=Ie.meta,We=Ie.payload;bt(Re,De.arg.queryCacheKey,function(tt){var Dt;if(tt.requestId===De.requestId||de(De.arg)){var Rt=Tn[De.arg.endpointName].merge;if(tt.status=t.fulfilled,Rt)if(tt.data!==void 0){var Ve=De.fulfilledTimeStamp,nn=De.arg,yn=De.baseQueryMeta,hn=De.requestId,gr=(0,ge.createNextState)(tt.data,function(Xn){return Rt(Xn,We,{arg:nn.originalArgs,baseQueryMeta:yn,fulfilledTimeStamp:Ve,requestId:hn})});tt.data=gr}else tt.data=We;else tt.data=(Dt=Tn[De.arg.endpointName].structuralSharing)==null||Dt?M((0,on.isDraft)(tt.data)?(0,vt.original)(tt.data):tt.data,We):We;delete tt.error,tt.fulfilledTimeStamp=De.fulfilledTimeStamp}})}).addCase(Rn.rejected,function(Re,Ie){var De=Ie.meta,We=De.condition,tt=De.requestId,Dt=Ie.error,Rt=Ie.payload;bt(Re,De.arg.queryCacheKey,function(Ve){if(!We){if(Ve.requestId!==tt)return;Ve.status=t.rejected,Ve.error=Rt??Dt}})}).addMatcher(Sn,function(Re,Ie){for(var De=dn(Ie).queries,We=0,tt=Object.entries(De);We<tt.length;We++){var Dt=tt[We],Rt=Dt[1];(Rt==null?void 0:Rt.status)!==t.fulfilled&&(Rt==null?void 0:Rt.status)!==t.rejected||(Re[Dt[0]]=Rt)}})}}),Ot=(0,ge.createSlice)({name:In+"/mutations",initialState:Pt,reducers:{removeMutationResult:{reducer:function(ot,Re){var Ie=Se(Re.payload);Ie in ot&&delete ot[Ie]},prepare:(0,ge.prepareAutoBatched)()}},extraReducers:function(ot){ot.addCase(Zn.pending,function(Re,Ie){var De=Ie.meta,We=De.requestId,tt=De.arg,Dt=De.startedTimeStamp;tt.track&&(Re[Se(Ie.meta)]={requestId:We,status:t.pending,endpointName:tt.endpointName,startedTimeStamp:Dt})}).addCase(Zn.fulfilled,function(Re,Ie){var De=Ie.payload,We=Ie.meta;We.arg.track&&Me(Re,We,function(tt){tt.requestId===We.requestId&&(tt.status=t.fulfilled,tt.data=De,tt.fulfilledTimeStamp=We.fulfilledTimeStamp)})}).addCase(Zn.rejected,function(Re,Ie){var De=Ie.payload,We=Ie.error,tt=Ie.meta;tt.arg.track&&Me(Re,tt,function(Dt){Dt.requestId===tt.requestId&&(Dt.status=t.rejected,Dt.error=De??We)})}).addMatcher(Sn,function(Re,Ie){for(var De=dn(Ie).mutations,We=0,tt=Object.entries(De);We<tt.length;We++){var Dt=tt[We],Rt=Dt[0],Ve=Dt[1];(Ve==null?void 0:Ve.status)!==t.fulfilled&&(Ve==null?void 0:Ve.status)!==t.rejected||Rt===(Ve==null?void 0:Ve.requestId)||(Re[Rt]=Ve)}})}}),St=(0,ge.createSlice)({name:In+"/invalidation",initialState:Pt,reducers:{},extraReducers:function(ot){ot.addCase(Xe.actions.removeQueryResult,function(Re,Ie){for(var De=Ie.payload.queryCacheKey,We=0,tt=Object.values(Re);We<tt.length;We++)for(var Dt=0,Rt=Object.values(tt[We]);Dt<Rt.length;Dt++){var Ve=Rt[Dt],nn=Ve.indexOf(De);nn!==-1&&Ve.splice(nn,1)}}).addMatcher(Sn,function(Re,Ie){for(var De,We,tt,Dt,Rt=dn(Ie).provided,Ve=0,nn=Object.entries(Rt);Ve<nn.length;Ve++)for(var yn=nn[Ve],hn=yn[0],gr=0,Xn=Object.entries(yn[1]);gr<Xn.length;gr++)for(var gn=Xn[gr],Vn=gn[0],io=gn[1],fn=(Dt=(We=(De=Re[hn])!=null?De:Re[hn]={})[tt=Vn||"__internal_without_id"])!=null?Dt:We[tt]=[],$n=0,Ur=io;$n<Ur.length;$n++){var Rr=Ur[$n];fn.includes(Rr)||fn.push(Rr)}}).addMatcher((0,ge.isAnyOf)((0,ge.isFulfilled)(Rn),(0,ge.isRejectedWithValue)(Rn)),function(Re,Ie){for(var De,We,tt,Dt,Rt=ct(Ie,"providesTags",Tn,En),Ve=Ie.meta.arg.queryCacheKey,nn=0,yn=Object.values(Re);nn<yn.length;nn++)for(var hn=0,gr=Object.values(yn[nn]);hn<gr.length;hn++){var Xn=gr[hn],gn=Xn.indexOf(Ve);gn!==-1&&Xn.splice(gn,1)}for(var Vn=0,io=Rt;Vn<io.length;Vn++){var fn=io[Vn],$n=fn.type,Ur=fn.id,Rr=(Dt=(We=(De=Re[$n])!=null?De:Re[$n]={})[tt=Ur||"__internal_without_id"])!=null?Dt:We[tt]=[];Rr.includes(Ve)||Rr.push(Ve)}})}}),at=(0,ge.createSlice)({name:In+"/subscriptions",initialState:Pt,reducers:{updateSubscriptionOptions:function(ot,Re){},unsubscribeQueryResult:function(ot,Re){},internal_probeSubscription:function(ot,Re){}}}),wt=(0,ge.createSlice)({name:In+"/internalSubscriptions",initialState:Pt,reducers:{subscriptionsUpdated:{reducer:function(ot,Re){return(0,vt.applyPatches)(ot,Re.payload)},prepare:(0,ge.prepareAutoBatched)()}}}),Bt=(0,ge.createSlice)({name:In+"/config",initialState:S({online:typeof navigator>"u"||navigator.onLine===void 0||navigator.onLine,focused:typeof document>"u"||document.visibilityState!=="hidden",middlewareRegistered:!1},vn),reducers:{middlewareRegistered:function(ot,Re){ot.middlewareRegistered=ot.middlewareRegistered!=="conflict"&&Nn===Re.payload||"conflict"}},extraReducers:function(ot){ot.addCase(be,function(Re){Re.online=!0}).addCase(ie,function(Re){Re.online=!1}).addCase(Y,function(Re){Re.focused=!0}).addCase(ae,function(Re){Re.focused=!1}).addMatcher(Sn,function(Re){return S({},Re)})}}),mt=(0,ge.combineReducers)({queries:Xe.reducer,mutations:Ot.reducer,provided:St.reducer,subscriptions:wt.reducer,config:Bt.reducer});return{reducer:function(ot,Re){return mt(bn.match(Re)?void 0:ot,Re)},actions:_(S(S(S(S(S({},Bt.actions),Xe.actions),at.actions),wt.actions),Ot.actions),{unsubscribeMutationResult:Ot.actions.removeMutationResult,resetApiState:bn})}}({context:he,queryThunk:Je,mutationThunk:jt,reducerPath:me,assertTagType:He,config:{refetchOnFocus:ft,refetchOnReconnect:xt,refetchOnMountOrArgChange:Ht,keepUnusedDataFor:st,reducerPath:me}}),Be=Ut.reducer,yt=Ut.actions;$r(J.util,{patchQueryData:Et,updateQueryData:Nt,upsertQueryData:qt,prefetch:tn,resetApiState:yt.resetApiState}),$r(J.internalActions,yt);var Mt=function(It){var In=It.reducerPath,Rn=It.queryThunk,Zn=It.api,mr=It.context,Tn=mr.apiUid,Nn={invalidateTags:(0,cr.createAction)(In+"/invalidateTags")},dn=[Wr,pn,Hr,yr,Wn,Mo];return{middleware:function(En){var vn=!1,bn=_(S({},It),{internalState:{currentSubscriptions:{}},refetchQuery:Sn}),Xe=dn.map(function(at){return at(bn)}),Ot=function(at){var wt=at.api,Bt=at.queryThunk,mt=at.internalState,ot=wt.reducerPath+"/subscriptions",Re=null,Ie=!1,De=wt.internalActions,We=De.updateSubscriptionOptions,tt=De.unsubscribeQueryResult;return function(Dt,Rt){var Ve,nn;if(Re||(Re=JSON.parse(JSON.stringify(mt.currentSubscriptions))),wt.util.resetApiState.match(Dt))return Re=mt.currentSubscriptions={},[!0,!1];if(wt.internalActions.internal_probeSubscription.match(Dt)){var yn=Dt.payload;return[!1,!!((Ve=mt.currentSubscriptions[yn.queryCacheKey])!=null&&Ve[yn.requestId])]}var hn=function(gn,Vn){var io,fn,$n,Ur,Rr,Va,Yd,Do,fa;if(We.match(Vn)){var Ls=Vn.payload,pa=Ls.queryCacheKey,lo=Ls.requestId;return(io=gn==null?void 0:gn[pa])!=null&&io[lo]&&(gn[pa][lo]=Ls.options),!0}if(tt.match(Vn)){var co=Vn.payload;return lo=co.requestId,gn[pa=co.queryCacheKey]&&delete gn[pa][lo],!0}if(wt.internalActions.removeQueryResult.match(Vn))return delete gn[Vn.payload.queryCacheKey],!0;if(Bt.pending.match(Vn)){var uo=Vn.meta;if(lo=uo.requestId,(Yr=uo.arg).subscribe)return(Ho=($n=gn[fn=Yr.queryCacheKey])!=null?$n:gn[fn]={})[lo]=(Rr=(Ur=Yr.subscriptionOptions)!=null?Ur:Ho[lo])!=null?Rr:{},!0}if(Bt.rejected.match(Vn)){var Ho,Ao=Vn.meta,Yr=Ao.arg;if(lo=Ao.requestId,Ao.condition&&Yr.subscribe)return(Ho=(Yd=gn[Va=Yr.queryCacheKey])!=null?Yd:gn[Va]={})[lo]=(fa=(Do=Yr.subscriptionOptions)!=null?Do:Ho[lo])!=null?fa:{},!0}return!1}(mt.currentSubscriptions,Dt);if(hn){Ie||(fs(function(){var gn=JSON.parse(JSON.stringify(mt.currentSubscriptions)),Vn=(0,Vr.produceWithPatches)(Re,function(){return gn});Rt.next(wt.internalActions.subscriptionsUpdated(Vn[1])),Re=gn,Ie=!1}),Ie=!0);var gr=!!((nn=Dt.type)!=null&&nn.startsWith(ot)),Xn=Bt.rejected.match(Dt)&&Dt.meta.condition&&!!Dt.meta.arg.subscribe;return[!gr&&!Xn,!1]}return[!0,!1]}}(bn),St=function(at){var wt=at.reducerPath,Bt=at.context,mt=at.refetchQuery,ot=at.internalState,Re=at.api.internalActions.removeQueryResult;function Ie(De,We){var tt=De.getState()[wt],Dt=tt.queries,Rt=ot.currentSubscriptions;Bt.batch(function(){for(var Ve=0,nn=Object.keys(Rt);Ve<nn.length;Ve++){var yn=nn[Ve],hn=Dt[yn],gr=Rt[yn];gr&&hn&&(Object.values(gr).some(function(Xn){return Xn[We]===!0})||Object.values(gr).every(function(Xn){return Xn[We]===void 0})&&tt.config[We])&&(Object.keys(gr).length===0?De.dispatch(Re({queryCacheKey:yn})):hn.status!==t.uninitialized&&De.dispatch(mt(hn,yn)))}})}return function(De,We){Y.match(De)&&Ie(We,"refetchOnFocus"),be.match(De)&&Ie(We,"refetchOnReconnect")}}(bn);return function(at){return function(wt){vn||(vn=!0,En.dispatch(Zn.internalActions.middlewareRegistered(Tn)));var Bt,mt=_(S({},En),{next:at}),ot=En.getState(),Re=Ot(wt,mt,ot),Ie=Re[1];if(Bt=Re[0]?at(wt):Ie,En.getState()[In]&&(St(wt,mt,ot),function(tt){return!!tt&&typeof tt.type=="string"&&tt.type.startsWith(In+"/")}(wt)||mr.hasRehydrationInfo(wt)))for(var De=0,We=Xe;De<We.length;De++)(0,We[De])(wt,mt,ot);return Bt}}},actions:Nn};function Sn(En,vn,bn){return bn===void 0&&(bn={}),Rn(S({type:"query",endpointName:En.endpointName,originalArgs:En.originalArgs,subscribe:!1,forceRefetch:!0,queryCacheKey:vn},bn))}}({reducerPath:me,context:he,queryThunk:Je,mutationThunk:jt,api:J,assertTagType:He}),Wt=Mt.middleware;$r(J.util,Mt.actions),$r(J,{reducer:Be,middleware:Wt});var jn=function(It){var In=It.serializeQueryArgs,Rn=It.reducerPath,Zn=function(dn){return $t},mr=function(dn){return zt};return{buildQuerySelector:function(dn,Sn){return function(En){var vn=In({queryArgs:En,endpointDefinition:Sn,endpointName:dn});return(0,re.createSelector)(En===Tt?Zn:function(bn){var Xe,Ot,St;return(St=(Ot=(Xe=Nn(bn))==null?void 0:Xe.queries)==null?void 0:Ot[vn])!=null?St:$t},Tn)}},buildMutationSelector:function(){return function(dn){var Sn,En;return En=typeof dn=="object"?(Sn=Se(dn))!=null?Sn:Tt:dn,(0,re.createSelector)(En===Tt?mr:function(vn){var bn,Xe,Ot;return(Ot=(Xe=(bn=Nn(vn))==null?void 0:bn.mutations)==null?void 0:Xe[En])!=null?Ot:zt},Tn)}},selectInvalidatedBy:function(dn,Sn){for(var En,vn=dn[Rn],bn=new Set,Xe=0,Ot=Sn.map(le);Xe<Ot.length;Xe++){var St=Ot[Xe],at=vn.provided[St.type];if(at)for(var wt=0,Bt=(En=St.id!==void 0?at[St.id]:O(Object.values(at)))!=null?En:[];wt<Bt.length;wt++)bn.add(Bt[wt])}return O(Array.from(bn.values()).map(function(mt){var ot=vn.queries[mt];return ot?[{queryCacheKey:mt,endpointName:ot.endpointName,originalArgs:ot.originalArgs}]:[]}))}};function Tn(dn){return S(S({},dn),{status:Sn=dn.status,isUninitialized:Sn===t.uninitialized,isLoading:Sn===t.pending,isSuccess:Sn===t.fulfilled,isError:Sn===t.rejected});var Sn}function Nn(dn){return dn[Rn]}}({serializeQueryArgs:ut,reducerPath:me}),Gt=jn.buildQuerySelector,un=jn.buildMutationSelector;$r(J.util,{selectInvalidatedBy:jn.selectInvalidatedBy});var sn=function(It){var In=It.serializeQueryArgs,Rn=It.queryThunk,Zn=It.mutationThunk,mr=It.api,Tn=It.context,Nn=new Map,dn=new Map,Sn=mr.internalActions,En=Sn.unsubscribeQueryResult,vn=Sn.removeMutationResult,bn=Sn.updateSubscriptionOptions;return{buildInitiateQuery:function(Xe,Ot){var St=function(at,wt){var Bt=wt===void 0?{}:wt,mt=Bt.subscribe,ot=mt===void 0||mt,Re=Bt.forceRefetch,Ie=Bt.subscriptionOptions,De=Bt[xe];return function(We,tt){var Dt,Rt,Ve=In({queryArgs:at,endpointDefinition:Ot,endpointName:Xe}),nn=Rn(((Dt={type:"query",subscribe:ot,forceRefetch:Re,subscriptionOptions:Ie,endpointName:Xe,originalArgs:at,queryCacheKey:Ve})[xe]=De,Dt)),yn=mr.endpoints[Xe].select(at),hn=We(nn),gr=yn(tt()),Xn=hn.requestId,gn=hn.abort,Vn=gr.requestId!==Xn,io=(Rt=Nn.get(We))==null?void 0:Rt[Ve],fn=function(){return yn(tt())},$n=Object.assign(De?hn.then(fn):Vn&&!io?Promise.resolve(gr):Promise.all([io,hn]).then(fn),{arg:at,requestId:Xn,subscriptionOptions:Ie,queryCacheKey:Ve,abort:gn,unwrap:function(){return E(this,null,function(){var Rr;return r(this,function(Va){switch(Va.label){case 0:return[4,$n];case 1:if((Rr=Va.sent()).isError)throw Rr.error;return[2,Rr.data]}})})},refetch:function(){return We(St(at,{subscribe:!1,forceRefetch:!0}))},unsubscribe:function(){ot&&We(En({queryCacheKey:Ve,requestId:Xn}))},updateSubscriptionOptions:function(Rr){$n.subscriptionOptions=Rr,We(bn({endpointName:Xe,requestId:Xn,queryCacheKey:Ve,options:Rr}))}});if(!io&&!Vn&&!De){var Ur=Nn.get(We)||{};Ur[Ve]=$n,Nn.set(We,Ur),$n.then(function(){delete Ur[Ve],Object.keys(Ur).length||Nn.delete(We)})}return $n}};return St},buildInitiateMutation:function(Xe){return function(Ot,St){var at=St===void 0?{}:St,wt=at.track,Bt=wt===void 0||wt,mt=at.fixedCacheKey;return function(ot,Re){var Ie=Zn({type:"mutation",endpointName:Xe,originalArgs:Ot,track:Bt,fixedCacheKey:mt}),De=ot(Ie),We=De.requestId,tt=De.abort,Dt=De.unwrap,Rt=De.unwrap().then(function(hn){return{data:hn}}).catch(function(hn){return{error:hn}}),Ve=function(){ot(vn({requestId:We,fixedCacheKey:mt}))},nn=Object.assign(Rt,{arg:De.arg,requestId:We,abort:tt,unwrap:Dt,unsubscribe:Ve,reset:Ve}),yn=dn.get(ot)||{};return dn.set(ot,yn),yn[We]=nn,nn.then(function(){delete yn[We],Object.keys(yn).length||dn.delete(ot)}),mt&&(yn[mt]=nn,nn.then(function(){yn[mt]===nn&&(delete yn[mt],Object.keys(yn).length||dn.delete(ot))})),nn}}},getRunningQueryThunk:function(Xe,Ot){return function(St){var at,wt=In({queryArgs:Ot,endpointDefinition:Tn.endpointDefinitions[Xe],endpointName:Xe});return(at=Nn.get(St))==null?void 0:at[wt]}},getRunningMutationThunk:function(Xe,Ot){return function(St){var at;return(at=dn.get(St))==null?void 0:at[Ot]}},getRunningQueriesThunk:function(){return function(Xe){return Object.values(Nn.get(Xe)||{}).filter(ke)}},getRunningMutationsThunk:function(){return function(Xe){return Object.values(dn.get(Xe)||{}).filter(ke)}},getRunningOperationPromises:function(){var Xe=function(Ot){return Array.from(Ot.values()).flatMap(function(St){return St?Object.values(St):[]})};return o(o([],Xe(Nn)),Xe(dn)).filter(ke)},removalWarning:function(){throw new Error(`This method had to be removed due to a conceptual bug in RTK.
-       Please see https://github.com/reduxjs/redux-toolkit/pull/2481 for details.
-       See https://redux-toolkit.js.org/rtk-query/usage/server-side-rendering for new guidance on SSR.`)}}}({queryThunk:Je,mutationThunk:jt,api:J,serializeQueryArgs:ut,context:he}),Or=sn.buildInitiateQuery,Jn=sn.buildInitiateMutation;return $r(J.util,{getRunningOperationPromises:sn.getRunningOperationPromises,getRunningOperationPromise:sn.removalWarning,getRunningMutationThunk:sn.getRunningMutationThunk,getRunningMutationsThunk:sn.getRunningMutationsThunk,getRunningQueryThunk:sn.getRunningQueryThunk,getRunningQueriesThunk:sn.getRunningQueriesThunk}),{name:ps,injectEndpoint:function(It,In){var Rn,Zn=J;(Rn=Zn.endpoints)[It]!=null||(Rn[It]={}),oe(In)?$r(Zn.endpoints[It],{name:It,select:Gt(It,In),initiate:Or(It,In)},en(Je,It)):In.type===U.mutation&&$r(Zn.endpoints[It],{name:It,select:un(),initiate:Jn(It)},en(jt,It))}}}}},zs=Qe(da())})(aj);sj.exports=aj;var oo=sj.exports;const JV=e=>{const{imageUsage:t,topMessage:n="This image is currently in use in the following 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N.getSnapshotBeforeUpdate!="function"||Z===l.memoizedProps&&it===l.memoizedState||(u.flags|=1024),u.memoizedProps=x,u.memoizedState=zn),N.props=x,N.state=zn,N.context=ue,x=Ne):(typeof N.componentDidUpdate!="function"||Z===l.memoizedProps&&it===l.memoizedState||(u.flags|=4),typeof N.getSnapshotBeforeUpdate!="function"||Z===l.memoizedProps&&it===l.memoizedState||(u.flags|=1024),x=!1)}return Bg(l,u,g,x,P,C)}function Bg(l,u,g,x,C,P){l2(l,u);var N=(u.flags&128)!==0;if(!x&&!N)return C&&mr(u,g,!1),ma(l,u,P);x=u.stateNode,z8.current=u;var Z=N&&typeof g.getDerivedStateFromError!="function"?null:x.render();return u.flags|=1,l!==null&&N?(u.child=Pl(u,l.child,null,P),u.child=Pl(u,null,Z,P)):fo(l,u,Z,P),u.memoizedState=x.state,C&&mr(u,g,!0),u.child}function u2(l){var u=l.stateNode;u.pendingContext?In(l,u.pendingContext,u.pendingContext!==u.context):u.context&&In(l,u.context,!1),_g(l,u.containerInfo)}function d2(l,u,g,x,C){return Cl(),gg(C),u.flags|=256,fo(l,u,g,x),u.child}var Fg={dehydrated:null,treeContext:null,retryLane:0};function Hg(l){return{baseLanes:l,cachePool:null,transitions:null}}function f2(l,u,g){var x=u.pendingProps,C=ur.current,P=!1,N=(u.flags&128)!==0,Z;if((Z=N)||(Z=l!==null&&l.memoizedState===null?!1:(C&2)!==0),Z?(P=!0,u.flags&=-129):(l===null||l.memoizedState!==null)&&(C|=1),Wt(ur,C&1),l===null)return mg(u),l=u.memoizedState,l!==null&&(l=l.dehydrated,l!==null)?(u.mode&1?$s(l)?u.lanes=8:u.lanes=1073741824:u.lanes=1,null):(N=x.children,l=x.fallback,P?(x=u.mode,P=u.child,N={mode:"hidden",children:N},!(x&1)&&P!==null?(P.childLanes=0,P.pendingProps=N):P=Mf(N,x,0,null),l=Hi(l,x,g,null),P.return=u,l.return=u,P.sibling=l,u.child=P,u.child.memoizedState=Hg(g),u.memoizedState=Fg,l):Wg(u,N));if(C=l.memoizedState,C!==null&&(Z=C.dehydrated,Z!==null))return L8(l,u,N,x,Z,C,g);if(P){P=x.fallback,N=u.mode,C=l.child,Z=C.sibling;var ue={mode:"hidden",children:x.children};return!(N&1)&&u.child!==C?(x=u.child,x.childLanes=0,x.pendingProps=ue,u.deletions=null):(x=Qa(C,ue),x.subtreeFlags=C.subtreeFlags&14680064),Z!==null?P=Qa(Z,P):(P=Hi(P,N,g,null),P.flags|=2),P.return=u,x.return=u,x.sibling=P,u.child=x,x=P,P=u.child,N=l.child.memoizedState,N=N===null?Hg(g):{baseLanes:N.baseLanes|g,cachePool:null,transitions:N.transitions},P.memoizedState=N,P.childLanes=l.childLanes&~g,u.memoizedState=Fg,x}return P=l.child,l=P.sibling,x=Qa(P,{mode:"visible",children:x.children}),!(u.mode&1)&&(x.lanes=g),x.return=u,x.sibling=null,l!==null&&(g=u.deletions,g===null?(u.deletions=[l],u.flags|=16):g.push(l)),u.child=x,u.memoizedState=null,x}function Wg(l,u){return u=Mf({mode:"visible",children:u},l.mode,0,null),u.return=l,l.child=u}function ff(l,u,g,x){return x!==null&&gg(x),Pl(u,l.child,null,g),l=Wg(u,u.pendingProps.children),l.flags|=2,u.memoizedState=null,l}function L8(l,u,g,x,C,P,N){if(g)return u.flags&256?(u.flags&=-257,x=$g(Error(a(422))),ff(l,u,N,x)):u.memoizedState!==null?(u.child=l.child,u.flags|=128,null):(P=x.fallback,C=u.mode,x=Mf({mode:"visible",children:x.children},C,0,null),P=Hi(P,C,N,null),P.flags|=2,x.return=u,P.return=u,x.sibling=P,u.child=x,u.mode&1&&Pl(u,l.child,null,N),u.child.memoizedState=Hg(N),u.memoizedState=Fg,P);if(!(u.mode&1))return ff(l,u,N,null);if($s(C))return x=ps(C).digest,P=Error(a(419)),x=$g(P,x,void 0),ff(l,u,N,x);if(g=(N&l.childLanes)!==0,bo||g){if(x=Lr,x!==null){switch(N&-N){case 4:C=2;break;case 16:C=8;break;case 64:case 128:case 256:case 512:case 1024:case 2048:case 4096:case 8192:case 16384:case 32768:case 65536:case 131072:case 262144:case 524288:case 1048576:case 2097152:case 4194304:case 8388608:case 16777216:case 33554432:case 67108864:C=32;break;case 536870912:C=268435456;break;default:C=0}C=C&(x.suspendedLanes|N)?0:C,C!==0&&C!==P.retryLane&&(P.retryLane=C,Bs(l,C),qo(x,l,C,-1))}return c0(),x=$g(Error(a(421))),ff(l,u,N,x)}return $r(C)?(u.flags|=128,u.child=l.child,u=J8.bind(null,l),da(C,u),null):(l=P.treeContext,ke&&(Wo=he(C),To=u,er=!0,hs=null,Yc=!1,l!==null&&(co[uo++]=Ao,co[uo++]=Yr,co[uo++]=Ho,Ao=l.id,Yr=l.overflow,Ho=u)),u=Wg(u,x.children),u.flags|=4096,u)}function p2(l,u,g){l.lanes|=u;var x=l.alternate;x!==null&&(x.lanes|=u),xg(l.return,u,g)}function Vg(l,u,g,x,C){var P=l.memoizedState;P===null?l.memoizedState={isBackwards:u,rendering:null,renderingStartTime:0,last:x,tail:g,tailMode:C}:(P.isBackwards=u,P.rendering=null,P.renderingStartTime=0,P.last=x,P.tail=g,P.tailMode=C)}function h2(l,u,g){var x=u.pendingProps,C=x.revealOrder,P=x.tail;if(fo(l,u,x.children,g),x=ur.current,x&2)x=x&1|2,u.flags|=128;else{if(l!==null&&l.flags&128)e:for(l=u.child;l!==null;){if(l.tag===13)l.memoizedState!==null&&p2(l,g,u);else if(l.tag===19)p2(l,g,u);else if(l.child!==null){l.child.return=l,l=l.child;continue}if(l===u)break e;for(;l.sibling===null;){if(l.return===null||l.return===u)break e;l=l.return}l.sibling.return=l.return,l=l.sibling}x&=1}if(Wt(ur,x),!(u.mode&1))u.memoizedState=null;else switch(C){case"forwards":for(g=u.child,C=null;g!==null;)l=g.alternate,l!==null&&sf(l)===null&&(C=g),g=g.sibling;g=C,g===null?(C=u.child,u.child=null):(C=g.sibling,g.sibling=null),Vg(u,!1,C,g,P);break;case"backwards":for(g=null,C=u.child,u.child=null;C!==null;){if(l=C.alternate,l!==null&&sf(l)===null){u.child=C;break}l=C.sibling,C.sibling=g,g=C,C=l}Vg(u,!0,g,null,P);break;case"together":Vg(u,!1,null,null,void 0);break;default:u.memoizedState=null}return u.child}function pf(l,u){!(u.mode&1)&&l!==null&&(l.alternate=null,u.alternate=null,u.flags|=2)}function ma(l,u,g){if(l!==null&&(u.dependencies=l.dependencies),zi|=u.lanes,!(g&u.childLanes))return null;if(l!==null&&u.child!==l.child)throw Error(a(153));if(u.child!==null){for(l=u.child,g=Qa(l,l.pendingProps),u.child=g,g.return=u;l.sibling!==null;)l=l.sibling,g=g.sibling=Qa(l,l.pendingProps),g.return=u;g.sibling=null}return u.child}function B8(l,u,g){switch(u.tag){case 3:u2(u),Cl();break;case 5:Rx(u);break;case 1:Jn(u.type)&&Zn(u);break;case 4:_g(u,u.stateNode.containerInfo);break;case 10:yx(u,u.type._context,u.memoizedProps.value);break;case 13:var x=u.memoizedState;if(x!==null)return x.dehydrated!==null?(Wt(ur,ur.current&1),u.flags|=128,null):g&u.child.childLanes?f2(l,u,g):(Wt(ur,ur.current&1),l=ma(l,u,g),l!==null?l.sibling:null);Wt(ur,ur.current&1);break;case 19:if(x=(g&u.childLanes)!==0,l.flags&128){if(x)return h2(l,u,g);u.flags|=128}var C=u.memoizedState;if(C!==null&&(C.rendering=null,C.tail=null,C.lastEffect=null),Wt(ur,ur.current),x)break;return null;case 22:case 23:return u.lanes=0,i2(l,u,g)}return ma(l,u,g)}function Ws(l){l.flags|=4}function m2(l,u){if(l!==null&&l.child===u.child)return!0;if(u.flags&16)return!1;for(l=u.child;l!==null;){if(l.flags&12854||l.subtreeFlags&12854)return!1;l=l.sibling}return!0}var ou,su,hf,mf;if(le)ou=function(l,u){for(var g=u.child;g!==null;){if(g.tag===5||g.tag===6)be(l,g.stateNode);else if(g.tag!==4&&g.child!==null){g.child.return=g,g=g.child;continue}if(g===u)break;for(;g.sibling===null;){if(g.return===null||g.return===u)return;g=g.return}g.sibling.return=g.return,g=g.sibling}},su=function(){},hf=function(l,u,g,x,C){if(l=l.memoizedProps,l!==x){var P=u.stateNode,N=Fs(Uo.current);g=X(P,g,l,x,C,N),(u.updateQueue=g)&&Ws(u)}},mf=function(l,u,g,x){g!==x&&Ws(u)};else if(ge){ou=function(l,u,g,x){for(var C=u.child;C!==null;){if(C.tag===5){var P=C.stateNode;g&&x&&(P=Nr(P,C.type,C.memoizedProps,C)),be(l,P)}else if(C.tag===6)P=C.stateNode,g&&x&&(P=Mo(P,C.memoizedProps,C)),be(l,P);else if(C.tag!==4){if(C.tag===22&&C.memoizedState!==null)P=C.child,P!==null&&(P.return=C),ou(l,C,!0,!0);else if(C.child!==null){C.child.return=C,C=C.child;continue}}if(C===u)break;for(;C.sibling===null;){if(C.return===null||C.return===u)return;C=C.return}C.sibling.return=C.return,C=C.sibling}};var g2=function(l,u,g,x){for(var C=u.child;C!==null;){if(C.tag===5){var P=C.stateNode;g&&x&&(P=Nr(P,C.type,C.memoizedProps,C)),Fn(l,P)}else if(C.tag===6)P=C.stateNode,g&&x&&(P=Mo(P,C.memoizedProps,C)),Fn(l,P);else if(C.tag!==4){if(C.tag===22&&C.memoizedState!==null)P=C.child,P!==null&&(P.return=C),g2(l,C,!0,!0);else if(C.child!==null){C.child.return=C,C=C.child;continue}}if(C===u)break;for(;C.sibling===null;){if(C.return===null||C.return===u)return;C=C.return}C.sibling.return=C.return,C=C.sibling}};su=function(l,u){var g=u.stateNode;if(!m2(l,u)){l=g.containerInfo;var x=yr(l);g2(x,u,!1,!1),g.pendingChildren=x,Ws(u),Hn(l,x)}},hf=function(l,u,g,x,C){var P=l.stateNode,N=l.memoizedProps;if((l=m2(l,u))&&N===x)u.stateNode=P;else{var Z=u.stateNode,ue=Fs(Uo.current),Ne=null;N!==x&&(Ne=X(Z,g,N,x,C,ue)),l&&Ne===null?u.stateNode=P:(P=Hr(P,Ne,g,N,x,u,l,Z),ie(P,g,x,C,ue)&&Ws(u),u.stateNode=P,l?Ws(u):ou(P,u,!1,!1))}},mf=function(l,u,g,x){g!==x?(l=Fs(jl.current),g=Fs(Uo.current),u.stateNode=U(x,l,g,u),Ws(u)):u.stateNode=l.stateNode}}else su=function(){},hf=function(){},mf=function(){};function au(l,u){if(!er)switch(l.tailMode){case"hidden":u=l.tail;for(var g=null;u!==null;)u.alternate!==null&&(g=u),u=u.sibling;g===null?l.tail=null:g.sibling=null;break;case"collapsed":g=l.tail;for(var x=null;g!==null;)g.alternate!==null&&(x=g),g=g.sibling;x===null?u||l.tail===null?l.tail=null:l.tail.sibling=null:x.sibling=null}}function Jr(l){var u=l.alternate!==null&&l.alternate.child===l.child,g=0,x=0;if(u)for(var C=l.child;C!==null;)g|=C.lanes|C.childLanes,x|=C.subtreeFlags&14680064,x|=C.flags&14680064,C.return=l,C=C.sibling;else for(C=l.child;C!==null;)g|=C.lanes|C.childLanes,x|=C.subtreeFlags,x|=C.flags,C.return=l,C=C.sibling;return l.subtreeFlags|=x,l.childLanes=g,u}function F8(l,u,g){var x=u.pendingProps;switch(pg(u),u.tag){case 2:case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:return Jr(u),null;case 1:return Jn(u.type)&&It(),Jr(u),null;case 3:return g=u.stateNode,Il(),Mt(un),Mt(Gt),Ig(),g.pendingContext&&(g.context=g.pendingContext,g.pendingContext=null),(l===null||l.child===null)&&(Qd(u)?Ws(u):l===null||l.memoizedState.isDehydrated&&!(u.flags&256)||(u.flags|=1024,hs!==null&&(i0(hs),hs=null))),su(l,u),Jr(u),null;case 5:Pg(u),g=Fs(jl.current);var C=u.type;if(l!==null&&u.stateNode!=null)hf(l,u,C,x,g),l.ref!==u.ref&&(u.flags|=512,u.flags|=2097152);else{if(!x){if(u.stateNode===null)throw Error(a(166));return Jr(u),null}if(l=Fs(Uo.current),Qd(u)){if(!ke)throw Error(a(175));l=_e(u.stateNode,u.type,u.memoizedProps,g,l,u,!Yc),u.updateQueue=l,l!==null&&Ws(u)}else{var P=ae(C,x,g,l,u);ou(P,u,!1,!1),u.stateNode=P,ie(P,C,x,g,l)&&Ws(u)}u.ref!==null&&(u.flags|=512,u.flags|=2097152)}return Jr(u),null;case 6:if(l&&u.stateNode!=null)mf(l,u,l.memoizedProps,x);else{if(typeof x!="string"&&u.stateNode===null)throw Error(a(166));if(l=Fs(jl.current),g=Fs(Uo.current),Qd(u)){if(!ke)throw Error(a(176));if(l=u.stateNode,g=u.memoizedProps,(x=me(l,g,u,!Yc))&&(C=To,C!==null))switch(C.tag){case 3:Je(C.stateNode.containerInfo,l,g,(C.mode&1)!==0);break;case 5:jt(C.type,C.memoizedProps,C.stateNode,l,g,(C.mode&1)!==0)}x&&Ws(u)}else u.stateNode=U(x,l,g,u)}return Jr(u),null;case 13:if(Mt(ur),x=u.memoizedState,l===null||l.memoizedState!==null&&l.memoizedState.dehydrated!==null){if(er&&Wo!==null&&u.mode&1&&!(u.flags&128))bx(),Cl(),u.flags|=98560,C=!1;else if(C=Qd(u),x!==null&&x.dehydrated!==null){if(l===null){if(!C)throw Error(a(318));if(!ke)throw Error(a(344));if(C=u.memoizedState,C=C!==null?C.dehydrated:null,!C)throw Error(a(317));ut(C,u)}else Cl(),!(u.flags&128)&&(u.memoizedState=null),u.flags|=4;Jr(u),C=!1}else hs!==null&&(i0(hs),hs=null),C=!0;if(!C)return u.flags&65536?u:null}return u.flags&128?(u.lanes=g,u):(g=x!==null,g!==(l!==null&&l.memoizedState!==null)&&g&&(u.child.flags|=8192,u.mode&1&&(l===null||ur.current&1?Dr===0&&(Dr=3):c0())),u.updateQueue!==null&&(u.flags|=4),Jr(u),null);case 4:return Il(),su(l,u),l===null&&de(u.stateNode.containerInfo),Jr(u),null;case 10:return yg(u.type._context),Jr(u),null;case 17:return Jn(u.type)&&It(),Jr(u),null;case 19:if(Mt(ur),C=u.memoizedState,C===null)return Jr(u),null;if(x=(u.flags&128)!==0,P=C.rendering,P===null)if(x)au(C,!1);else{if(Dr!==0||l!==null&&l.flags&128)for(l=u.child;l!==null;){if(P=sf(l),P!==null){for(u.flags|=128,au(C,!1),l=P.updateQueue,l!==null&&(u.updateQueue=l,u.flags|=4),u.subtreeFlags=0,l=g,g=u.child;g!==null;)x=g,C=l,x.flags&=14680066,P=x.alternate,P===null?(x.childLanes=0,x.lanes=C,x.child=null,x.subtreeFlags=0,x.memoizedProps=null,x.memoizedState=null,x.updateQueue=null,x.dependencies=null,x.stateNode=null):(x.childLanes=P.childLanes,x.lanes=P.lanes,x.child=P.child,x.subtreeFlags=0,x.deletions=null,x.memoizedProps=P.memoizedProps,x.memoizedState=P.memoizedState,x.updateQueue=P.updateQueue,x.type=P.type,C=P.dependencies,x.dependencies=C===null?null:{lanes:C.lanes,firstContext:C.firstContext}),g=g.sibling;return 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e=z(s=>s.canvas.tool),t=z(lr),n=te(),{t:r}=ye();rt(["v"],()=>{o()},{enabled:()=>!t,preventDefault:!0},[]);const o=()=>n(ea("move"));return i.jsx(Le,{"aria-label":`${r("unifiedCanvas.move")} (V)`,tooltip:`${r("unifiedCanvas.move")} (V)`,icon:i.jsx(gP,{}),isChecked:e==="move"||t,onClick:o})}function vue(){const e=z(s=>s.ui.shouldPinParametersPanel),t=z(s=>s.ui.shouldShowParametersPanel),n=te(),{t:r}=ye(),o=()=>{n(cb(!0)),e&&n(ko())};return!e||!t?i.jsxs(F,{flexDirection:"column",gap:2,children:[i.jsx(Le,{tooltip:`${r("parameters.showOptionsPanel")} (O)`,tooltipProps:{placement:"top"},"aria-label":r("parameters.showOptionsPanel"),onClick:o,children:i.jsx(ry,{})}),i.jsx(F,{children:i.jsx(Jy,{iconButton:!0})}),i.jsx(F,{children:i.jsx(ng,{width:"100%",height:"40px",btnGroupWidth:"100%"})})]}):null}function bue(){const e=te(),{t}=ye(),n=z(lr),r=()=>{e(rb()),e(im())};return i.jsx(Le,{"aria-label":t("unifiedCanvas.clearCanvas"),tooltip:t("unifiedCanvas.clearCanvas"),icon:i.jsx(us,{}),onClick:r,isDisabled:n,colorScheme:"error"})}function yue(){const e=Ea(),t=te(),{t:n}=ye();rt(["r"],()=>{o()},{enabled:()=>!0,preventDefault:!0},[e]);const r=w8(()=>o(!1),()=>o(!0)),o=(s=!1)=>{const a=Ea();if(!a)return;const c=a.getClientRect({skipTransform:!0});t(_5({contentRect:c,shouldScaleTo1:s}))};return i.jsx(Le,{"aria-label":`${n("unifiedCanvas.resetView")} (R)`,tooltip:`${n("unifiedCanvas.resetView")} (R)`,icon:i.jsx(bP,{}),onClick:r})}function xue(){const e=z(lr),t=Ea(),n=z(a=>a.system.isProcessing),r=te(),{t:o}=ye();rt(["shift+s"],()=>{s()},{enabled:()=>!e,preventDefault:!0},[t,n]);const s=()=>{r(j5())};return i.jsx(Le,{"aria-label":`${o("unifiedCanvas.saveToGallery")} (Shift+S)`,tooltip:`${o("unifiedCanvas.saveToGallery")} (Shift+S)`,icon:i.jsx(Dm,{}),onClick:s,isDisabled:e})}const wue=fe([mn,lr,vo],(e,t,n)=>{const{isProcessing:r}=n,{tool:o}=e;return{tool:o,isStaging:t,isProcessing:r}},{memoizeOptions:{resultEqualityCheck:Zt}}),Sue=()=>{const e=te(),{t}=ye(),{tool:n,isStaging:r}=z(wue);rt(["b"],()=>{o()},{enabled:()=>!r,preventDefault:!0},[]),rt(["e"],()=>{s()},{enabled:()=>!r,preventDefault:!0},[n]),rt(["c"],()=>{a()},{enabled:()=>!r,preventDefault:!0},[n]),rt(["shift+f"],()=>{c()},{enabled:()=>!r,preventDefault:!0}),rt(["delete","backspace"],()=>{d()},{enabled:()=>!r,preventDefault:!0});const o=()=>e(ea("brush")),s=()=>e(ea("eraser")),a=()=>e(ea("colorPicker")),c=()=>e(C5()),d=()=>e(k5());return i.jsxs(F,{flexDirection:"column",gap:2,children:[i.jsxs(rr,{children:[i.jsx(Le,{"aria-label":`${t("unifiedCanvas.brush")} (B)`,tooltip:`${t("unifiedCanvas.brush")} (B)`,icon:i.jsx(_P,{}),isChecked:n==="brush"&&!r,onClick:o,isDisabled:r}),i.jsx(Le,{"aria-label":`${t("unifiedCanvas.eraser")} (E)`,tooltip:`${t("unifiedCanvas.eraser")} 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t?null:i.jsx(pP,{direction:"left",isResizable:!1,isOpen:n,onClose:o,children:i.jsxs(F,{sx:{flexDir:"column",h:"full",w:ex,gap:2,position:"relative",flexShrink:0,overflowY:"auto"},children:[i.jsxs(F,{paddingBottom:4,justifyContent:"space-between",alignItems:"center",children:[i.jsx(fO,{}),i.jsx(zO,{})]}),i.jsx(F,{sx:{gap:2,flexDirection:"column",h:"full",w:"full"},children:a})]})})},xde=f.memo(yde),wde=()=>{const{data:e,isFetching:t}=am(),{isOpen:n,onClose:r,handleAddToBoard:o,image:s}=f.useContext(H_),[a,c]=f.useState(),d=f.useRef(null),p=e==null?void 0:e.find(h=>h.board_id===(s==null?void 0:s.board_id));return i.jsx(Md,{isOpen:n,leastDestructiveRef:d,onClose:r,isCentered:!0,children:i.jsx(Da,{children:i.jsxs(Dd,{children:[i.jsx(Ma,{fontSize:"lg",fontWeight:"bold",children:p?"Move Image to Board":"Add Image to Board"}),i.jsx(Aa,{children:i.jsx(Ee,{children:i.jsxs(F,{direction:"column",gap:3,children:[p&&i.jsxs(qe,{children:["Moving this image from"," 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rt("*",()=>{lP("shift")?!t&&e(jo(!0)):t&&e(jo(!1))},{keyup:!0,keydown:!0},[t]),rt("o",()=>{e(HD()),o==="unifiedCanvas"&&n&&e(ko())}),rt(["shift+o"],()=>{e(WD()),o==="unifiedCanvas"&&e(ko())}),rt("g",()=>{e(VD()),o==="unifiedCanvas"&&r&&e(ko())}),rt(["shift+g"],()=>{e(L_()),o==="unifiedCanvas"&&e(ko())}),rt("1",()=>{e(Xl("txt2img"))}),rt("2",()=>{e(Xl("img2img"))}),rt("3",()=>{e(Xl("unifiedCanvas"))}),rt("4",()=>{e(Xl("nodes"))}),null},_de=f.memo(kde),Pde={},jde=({config:e=Pde,headerComponent:t})=>{const n=z(Y6),r=gF(),o=te();return f.useEffect(()=>{Bn.changeLanguage(n)},[n]),f.useEffect(()=>{Z_(e)&&(r.info({namespace:"App",config:e},"Received config"),o(UD(e)))},[o,e,r]),f.useEffect(()=>{o(GD())},[o]),i.jsxs(i.Fragment,{children:[i.jsxs(sl,{w:"100vw",h:"100vh",position:"relative",overflow:"hidden",children:[i.jsx(jH,{children:i.jsxs(sl,{sx:{gap:4,p:4,gridAutoRows:"min-content 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diff --git a/invokeai/frontend/web/dist/assets/MantineProvider-b20a2267.js b/invokeai/frontend/web/dist/assets/MantineProvider-b20a2267.js
deleted file mode 100644
index 644c027f81..0000000000
--- a/invokeai/frontend/web/dist/assets/MantineProvider-b20a2267.js
+++ /dev/null
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diff --git a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-a4dc3f38.js b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-31ab5c15.js
similarity index 99%
rename from invokeai/frontend/web/dist/assets/ThemeLocaleProvider-a4dc3f38.js
rename to invokeai/frontend/web/dist/assets/ThemeLocaleProvider-31ab5c15.js
index 9336be16fa..b069480c3f 100644
--- a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-a4dc3f38.js
+++ b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-31ab5c15.js
@@ -1,4 +1,4 @@
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+import{B as m,g7 as Je,A as y,a5 as Ka,g8 as Xa,af as va,aj as d,g9 as b,ga as t,gb as Ya,gc as h,gd as ua,ge as Ja,gf as Qa,aL as Za,gg as et,ad as rt,gh as at}from"./index-de589048.js";import{s as fa,n as o,t as tt,o as ha,p as ot,q as ma,v as ga,w as ya,x as it,y as Sa,z as pa,A as xr,B as nt,D as lt,E as st,F as xa,G as $a,H as ka,J as dt,K as _a,L as ct,M as bt,N as vt,O as ut,Q as wa,R as ft,S as ht,T as mt,U as gt,V as yt,W as St,e as pt,X as xt}from"./menu-11348abc.js";var za=String.raw,Ca=za`
   :root,
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diff --git a/invokeai/frontend/web/dist/assets/index-18f2f740.js b/invokeai/frontend/web/dist/assets/index-18f2f740.js
deleted file mode 100644
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hY=/^c[^\s-]{8,}$/i,pY=/^[a-z][a-z0-9]*$/,gY=/[0-9A-HJKMNP-TV-Z]{26}/,mY=/^([a-f0-9]{8}-[a-f0-9]{4}-[1-5][a-f0-9]{3}-[a-f0-9]{4}-[a-f0-9]{12}|00000000-0000-0000-0000-000000000000)$/i,yY=/^(([^<>()[\]\\.,;:\s@\"]+(\.[^<>()[\]\\.,;:\s@\"]+)*)|(\".+\"))@((\[(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\])|(\[IPv6:(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))\])|([A-Za-z0-9]([A-Za-z0-9-]*[A-Za-z0-9])*(\.[A-Za-z]{2,})+))$/,vY=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,bY=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,SY=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,_Y=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function wY(e,t){return!!((t==="v4"||!t)&&bY.test(e)||(t==="v6"||!t)&&SY.test(e))}class pi extends Ce{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:ee.invalid_string,...ge.errToObj(r)}),this.nonempty=t=>this.min(1,ge.errToObj(t)),this.trim=()=>new pi({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new pi({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new pi({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==re.string){const o=this._getOrReturnCtx(t);return oe(o,{code:ee.invalid_type,expected:re.string,received:o.parsedType}),be}const r=new jn;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),oe(i,{code:ee.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),oe(i,{code:ee.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?oe(i,{code:ee.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&oe(i,{code:ee.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")yY.test(t.data)||(i=this._getOrReturnCtx(t,i),oe(i,{validation:"email",code:ee.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")vY.test(t.data)||(i=this._getOrReturnCtx(t,i),oe(i,{validation:"emoji",code:ee.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")mY.test(t.data)||(i=this._getOrReturnCtx(t,i),oe(i,{validation:"uuid",code:ee.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")hY.test(t.data)||(i=this._getOrReturnCtx(t,i),oe(i,{validation:"cuid",code:ee.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")pY.test(t.data)||(i=this._getOrReturnCtx(t,i),oe(i,{validation:"cuid2",code:ee.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")gY.test(t.data)||(i=this._getOrReturnCtx(t,i),oe(i,{validation:"ulid",code:ee.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),oe(i,{validation:"url",code:ee.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),oe(i,{validation:"regex",code:ee.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),oe(i,{code:ee.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),oe(i,{code:ee.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),oe(i,{code:ee.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?_Y(o).test(t.data)||(i=this._getOrReturnCtx(t,i),oe(i,{code:ee.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?wY(t.data,o.version)||(i=this._getOrReturnCtx(t,i),oe(i,{validation:"ip",code:ee.invalid_string,message:o.message}),r.dirty()):Ve.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new pi({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...ge.errToObj(t)})}url(t){return this._addCheck({kind:"url",...ge.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...ge.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...ge.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...ge.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...ge.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...ge.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...ge.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...ge.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...ge.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...ge.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...ge.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...ge.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...ge.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...ge.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...ge.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}pi.create=e=>{var t;return new pi({checks:[],typeName:ye.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...we(e)})};function xY(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class zs extends Ce{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==re.number){const o=this._getOrReturnCtx(t);return oe(o,{code:ee.invalid_type,expected:re.number,received:o.parsedType}),be}let r;const i=new jn;for(const o of this._def.checks)o.kind==="int"?Ve.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),oe(r,{code:ee.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),oe(r,{code:ee.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),oe(r,{code:ee.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?xY(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),oe(r,{code:ee.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),oe(r,{code:ee.not_finite,message:o.message}),i.dirty()):Ve.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,ge.toString(n))}gt(t,n){return this.setLimit("min",t,!1,ge.toString(n))}lte(t,n){return this.setLimit("max",t,!0,ge.toString(n))}lt(t,n){return this.setLimit("max",t,!1,ge.toString(n))}setLimit(t,n,r,i){return new zs({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:ge.toString(i)}]})}_addCheck(t){return new zs({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:ge.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:ge.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:ge.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:ge.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:ge.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:ge.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:ge.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:ge.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:ge.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&Ve.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}zs.create=e=>new zs({checks:[],typeName:ye.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...we(e)});class Us extends Ce{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==re.bigint){const o=this._getOrReturnCtx(t);return oe(o,{code:ee.invalid_type,expected:re.bigint,received:o.parsedType}),be}let r;const i=new jn;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),oe(r,{code:ee.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),oe(r,{code:ee.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),oe(r,{code:ee.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):Ve.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,ge.toString(n))}gt(t,n){return this.setLimit("min",t,!1,ge.toString(n))}lte(t,n){return this.setLimit("max",t,!0,ge.toString(n))}lt(t,n){return this.setLimit("max",t,!1,ge.toString(n))}setLimit(t,n,r,i){return new Us({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:ge.toString(i)}]})}_addCheck(t){return new Us({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:ge.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:ge.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:ge.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:ge.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:ge.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Us.create=e=>{var t;return new Us({checks:[],typeName:ye.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...we(e)})};class hf extends Ce{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==re.boolean){const r=this._getOrReturnCtx(t);return oe(r,{code:ee.invalid_type,expected:re.boolean,received:r.parsedType}),be}return tr(t.data)}}hf.create=e=>new hf({typeName:ye.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...we(e)});class Ja extends Ce{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==re.date){const o=this._getOrReturnCtx(t);return oe(o,{code:ee.invalid_type,expected:re.date,received:o.parsedType}),be}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return oe(o,{code:ee.invalid_date}),be}const r=new jn;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),oe(i,{code:ee.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),oe(i,{code:ee.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):Ve.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new Ja({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:ge.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:ge.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}Ja.create=e=>new Ja({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:ye.ZodDate,...we(e)});class bm extends Ce{_parse(t){if(this._getType(t)!==re.symbol){const r=this._getOrReturnCtx(t);return oe(r,{code:ee.invalid_type,expected:re.symbol,received:r.parsedType}),be}return tr(t.data)}}bm.create=e=>new bm({typeName:ye.ZodSymbol,...we(e)});class pf extends Ce{_parse(t){if(this._getType(t)!==re.undefined){const r=this._getOrReturnCtx(t);return oe(r,{code:ee.invalid_type,expected:re.undefined,received:r.parsedType}),be}return tr(t.data)}}pf.create=e=>new pf({typeName:ye.ZodUndefined,...we(e)});class gf extends Ce{_parse(t){if(this._getType(t)!==re.null){const r=this._getOrReturnCtx(t);return oe(r,{code:ee.invalid_type,expected:re.null,received:r.parsedType}),be}return tr(t.data)}}gf.create=e=>new gf({typeName:ye.ZodNull,...we(e)});class Ju extends Ce{constructor(){super(...arguments),this._any=!0}_parse(t){return tr(t.data)}}Ju.create=e=>new Ju({typeName:ye.ZodAny,...we(e)});class ja extends Ce{constructor(){super(...arguments),this._unknown=!0}_parse(t){return tr(t.data)}}ja.create=e=>new ja({typeName:ye.ZodUnknown,...we(e)});class Vo extends Ce{_parse(t){const n=this._getOrReturnCtx(t);return oe(n,{code:ee.invalid_type,expected:re.never,received:n.parsedType}),be}}Vo.create=e=>new Vo({typeName:ye.ZodNever,...we(e)});class Sm extends Ce{_parse(t){if(this._getType(t)!==re.undefined){const r=this._getOrReturnCtx(t);return oe(r,{code:ee.invalid_type,expected:re.void,received:r.parsedType}),be}return tr(t.data)}}Sm.create=e=>new Sm({typeName:ye.ZodVoid,...we(e)});class Si extends Ce{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==re.array)return oe(n,{code:ee.invalid_type,expected:re.array,received:n.parsedType}),be;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(oe(n,{code:s?ee.too_big:ee.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(oe(n,{code:ee.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(oe(n,{code:ee.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new eo(n,s,n.path,a)))).then(s=>jn.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new eo(n,s,n.path,a)));return jn.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Si({...this._def,minLength:{value:t,message:ge.toString(n)}})}max(t,n){return new Si({...this._def,maxLength:{value:t,message:ge.toString(n)}})}length(t,n){return new Si({...this._def,exactLength:{value:t,message:ge.toString(n)}})}nonempty(t){return this.min(1,t)}}Si.create=(e,t)=>new Si({type:e,minLength:null,maxLength:null,exactLength:null,typeName:ye.ZodArray,...we(t)});function Kl(e){if(e instanceof Tt){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=Ro.create(Kl(r))}return new Tt({...e._def,shape:()=>t})}else return e instanceof Si?new Si({...e._def,type:Kl(e.element)}):e instanceof Ro?Ro.create(Kl(e.unwrap())):e instanceof tl?tl.create(Kl(e.unwrap())):e instanceof to?to.create(e.items.map(t=>Kl(t))):e}class Tt extends Ce{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=Ve.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==re.object){const u=this._getOrReturnCtx(t);return oe(u,{code:ee.invalid_type,expected:re.object,received:u.parsedType}),be}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof Vo&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const c=o[u],d=i.data[u];l.push({key:{status:"valid",value:u},value:c._parse(new eo(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof Vo){const u=this._def.unknownKeys;if(u==="passthrough")for(const c of a)l.push({key:{status:"valid",value:c},value:{status:"valid",value:i.data[c]}});else if(u==="strict")a.length>0&&(oe(i,{code:ee.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const c of a){const d=i.data[c];l.push({key:{status:"valid",value:c},value:u._parse(new eo(i,d,i.path,c)),alwaysSet:c in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const c of l){const d=await c.key;u.push({key:d,value:await c.value,alwaysSet:c.alwaysSet})}return u}).then(u=>jn.mergeObjectSync(r,u)):jn.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return ge.errToObj,new Tt({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=ge.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new Tt({...this._def,unknownKeys:"strip"})}passthrough(){return new Tt({...this._def,unknownKeys:"passthrough"})}extend(t){return new Tt({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new Tt({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:ye.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new Tt({...this._def,catchall:t})}pick(t){const n={};return Ve.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new Tt({...this._def,shape:()=>n})}omit(t){const n={};return Ve.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new Tt({...this._def,shape:()=>n})}deepPartial(){return Kl(this)}partial(t){const n={};return Ve.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new Tt({...this._def,shape:()=>n})}required(t){const n={};return Ve.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof Ro;)o=o._def.innerType;n[r]=o}}),new Tt({...this._def,shape:()=>n})}keyof(){return _O(Ve.objectKeys(this.shape))}}Tt.create=(e,t)=>new Tt({shape:()=>e,unknownKeys:"strip",catchall:Vo.create(),typeName:ye.ZodObject,...we(t)});Tt.strictCreate=(e,t)=>new Tt({shape:()=>e,unknownKeys:"strict",catchall:Vo.create(),typeName:ye.ZodObject,...we(t)});Tt.lazycreate=(e,t)=>new Tt({shape:e,unknownKeys:"strip",catchall:Vo.create(),typeName:ye.ZodObject,...we(t)});class mf extends Ce{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new bi(a.ctx.common.issues));return oe(n,{code:ee.invalid_union,unionErrors:s}),be}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},c=l._parseSync({data:n.data,path:n.path,parent:u});if(c.status==="valid")return c;c.status==="dirty"&&!o&&(o={result:c,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new bi(l));return oe(n,{code:ee.invalid_union,unionErrors:a}),be}}get options(){return this._def.options}}mf.create=(e,t)=>new mf({options:e,typeName:ye.ZodUnion,...we(t)});const dg=e=>e instanceof bf?dg(e.schema):e instanceof Ti?dg(e.innerType()):e instanceof Sf?[e.value]:e instanceof Gs?e.options:e instanceof _f?Object.keys(e.enum):e instanceof wf?dg(e._def.innerType):e instanceof pf?[void 0]:e instanceof gf?[null]:null;class x0 extends Ce{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==re.object)return oe(n,{code:ee.invalid_type,expected:re.object,received:n.parsedType}),be;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(oe(n,{code:ee.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),be)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=dg(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new x0({typeName:ye.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...we(r)})}}function $_(e,t){const n=ms(e),r=ms(t);if(e===t)return{valid:!0,data:e};if(n===re.object&&r===re.object){const i=Ve.objectKeys(t),o=Ve.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=$_(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===re.array&&r===re.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=$_(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===re.date&&r===re.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class yf extends Ce{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(D_(o)||D_(s))return be;const a=$_(o.value,s.value);return a.valid?((L_(o)||L_(s))&&n.dirty(),{status:n.value,value:a.data}):(oe(r,{code:ee.invalid_intersection_types}),be)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}yf.create=(e,t,n)=>new yf({left:e,right:t,typeName:ye.ZodIntersection,...we(n)});class to extends Ce{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==re.array)return oe(r,{code:ee.invalid_type,expected:re.array,received:r.parsedType}),be;if(r.data.length<this._def.items.length)return oe(r,{code:ee.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),be;!this._def.rest&&r.data.length>this._def.items.length&&(oe(r,{code:ee.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new eo(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>jn.mergeArray(n,s)):jn.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new to({...this._def,rest:t})}}to.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new to({items:e,typeName:ye.ZodTuple,rest:null,...we(t)})};class vf extends Ce{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==re.object)return oe(r,{code:ee.invalid_type,expected:re.object,received:r.parsedType}),be;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new eo(r,a,r.path,a)),value:s._parse(new eo(r,r.data[a],r.path,a))});return r.common.async?jn.mergeObjectAsync(n,i):jn.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof Ce?new vf({keyType:t,valueType:n,typeName:ye.ZodRecord,...we(r)}):new vf({keyType:pi.create(),valueType:t,typeName:ye.ZodRecord,...we(n)})}}class _m extends Ce{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==re.map)return oe(r,{code:ee.invalid_type,expected:re.map,received:r.parsedType}),be;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new eo(r,a,r.path,[u,"key"])),value:o._parse(new eo(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,c=await l.value;if(u.status==="aborted"||c.status==="aborted")return be;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,c=l.value;if(u.status==="aborted"||c.status==="aborted")return be;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),a.set(u.value,c.value)}return{status:n.value,value:a}}}}_m.create=(e,t,n)=>new _m({valueType:t,keyType:e,typeName:ye.ZodMap,...we(n)});class el extends Ce{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==re.set)return oe(r,{code:ee.invalid_type,expected:re.set,received:r.parsedType}),be;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(oe(r,{code:ee.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(oe(r,{code:ee.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const c of l){if(c.status==="aborted")return be;c.status==="dirty"&&n.dirty(),u.add(c.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new eo(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new el({...this._def,minSize:{value:t,message:ge.toString(n)}})}max(t,n){return new el({...this._def,maxSize:{value:t,message:ge.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}el.create=(e,t)=>new el({valueType:e,minSize:null,maxSize:null,typeName:ye.ZodSet,...we(t)});class Ru extends Ce{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==re.function)return oe(n,{code:ee.invalid_type,expected:re.function,received:n.parsedType}),be;function r(a,l){return mm({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,gm(),ff].filter(u=>!!u),issueData:{code:ee.invalid_arguments,argumentsError:l}})}function i(a,l){return mm({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,gm(),ff].filter(u=>!!u),issueData:{code:ee.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;return this._def.returns instanceof ec?tr(async(...a)=>{const l=new bi([]),u=await this._def.args.parseAsync(a,o).catch(f=>{throw l.addIssue(r(a,f)),l}),c=await s(...u);return await this._def.returns._def.type.parseAsync(c,o).catch(f=>{throw l.addIssue(i(c,f)),l})}):tr((...a)=>{const l=this._def.args.safeParse(a,o);if(!l.success)throw new bi([r(a,l.error)]);const u=s(...l.data),c=this._def.returns.safeParse(u,o);if(!c.success)throw new bi([i(u,c.error)]);return c.data})}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new Ru({...this._def,args:to.create(t).rest(ja.create())})}returns(t){return new Ru({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new Ru({args:t||to.create([]).rest(ja.create()),returns:n||ja.create(),typeName:ye.ZodFunction,...we(r)})}}class bf extends Ce{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}bf.create=(e,t)=>new bf({getter:e,typeName:ye.ZodLazy,...we(t)});class Sf extends Ce{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return oe(n,{received:n.data,code:ee.invalid_literal,expected:this._def.value}),be}return{status:"valid",value:t.data}}get value(){return this._def.value}}Sf.create=(e,t)=>new Sf({value:e,typeName:ye.ZodLiteral,...we(t)});function _O(e,t){return new Gs({values:e,typeName:ye.ZodEnum,...we(t)})}class Gs extends Ce{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return oe(n,{expected:Ve.joinValues(r),received:n.parsedType,code:ee.invalid_type}),be}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return oe(n,{received:n.data,code:ee.invalid_enum_value,options:r}),be}return tr(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return Gs.create(t)}exclude(t){return Gs.create(this.options.filter(n=>!t.includes(n)))}}Gs.create=_O;class _f extends Ce{_parse(t){const n=Ve.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==re.string&&r.parsedType!==re.number){const i=Ve.objectValues(n);return oe(r,{expected:Ve.joinValues(i),received:r.parsedType,code:ee.invalid_type}),be}if(n.indexOf(t.data)===-1){const i=Ve.objectValues(n);return oe(r,{received:r.data,code:ee.invalid_enum_value,options:i}),be}return tr(t.data)}get enum(){return this._def.values}}_f.create=(e,t)=>new _f({values:e,typeName:ye.ZodNativeEnum,...we(t)});class ec extends Ce{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==re.promise&&n.common.async===!1)return oe(n,{code:ee.invalid_type,expected:re.promise,received:n.parsedType}),be;const r=n.parsedType===re.promise?n.data:Promise.resolve(n.data);return tr(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}ec.create=(e,t)=>new ec({type:e,typeName:ye.ZodPromise,...we(t)});class Ti extends Ce{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===ye.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null;if(i.type==="preprocess"){const s=i.transform(r.data);return r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}const o={addIssue:s=>{oe(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?be:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?be:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!ym(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>ym(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);Ve.assertNever(i)}}Ti.create=(e,t,n)=>new Ti({schema:e,typeName:ye.ZodEffects,effect:t,...we(n)});Ti.createWithPreprocess=(e,t,n)=>new Ti({schema:t,effect:{type:"preprocess",transform:e},typeName:ye.ZodEffects,...we(n)});class Ro extends Ce{_parse(t){return this._getType(t)===re.undefined?tr(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Ro.create=(e,t)=>new Ro({innerType:e,typeName:ye.ZodOptional,...we(t)});class tl extends Ce{_parse(t){return this._getType(t)===re.null?tr(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}tl.create=(e,t)=>new tl({innerType:e,typeName:ye.ZodNullable,...we(t)});class wf extends Ce{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return 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0?arguments[1]:{ns:["translation"],defaultNS:"translation"};super(),this.data=t||{},this.options=n,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.options.ignoreJSONStructure===void 0&&(this.options.ignoreJSONStructure=!0)}addNamespaces(t){this.options.ns.indexOf(t)<0&&this.options.ns.push(t)}removeNamespaces(t){const n=this.options.ns.indexOf(t);n>-1&&this.options.ns.splice(n,1)}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};const o=i.keySeparator!==void 0?i.keySeparator:this.options.keySeparator,s=i.ignoreJSONStructure!==void 0?i.ignoreJSONStructure:this.options.ignoreJSONStructure;let a=[t,n];r&&typeof r!="string"&&(a=a.concat(r)),r&&typeof r=="string"&&(a=a.concat(o?r.split(o):r)),t.indexOf(".")>-1&&(a=t.split("."));const l=Gm(this.data,a);return l||!s||typeof r!="string"?l:Hm(this.data&&this.data[t]&&this.data[t][n],r,o)}addResource(t,n,r,i){let o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:{silent:!1};const s=o.keySeparator!==void 0?o.keySeparator:this.options.keySeparator;let a=[t,n];r&&(a=a.concat(s?r.split(s):r)),t.indexOf(".")>-1&&(a=t.split("."),i=n,n=a[1]),this.addNamespaces(n),TE(this.data,a,i),o.silent||this.emit("added",t,n,r,i)}addResources(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{silent:!1};for(const o in r)(typeof r[o]=="string"||Object.prototype.toString.apply(r[o])==="[object Array]")&&this.addResource(t,n,o,r[o],{silent:!0});i.silent||this.emit("added",t,n,r)}addResourceBundle(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{silent:!1},a=[t,n];t.indexOf(".")>-1&&(a=t.split("."),i=r,r=n,n=a[1]),this.addNamespaces(n);let l=Gm(this.data,a)||{};i?$I(l,r,o):l={...l,...r},TE(this.data,a,l),s.silent||this.emit("added",t,n,r)}removeResourceBundle(t,n){this.hasResourceBundle(t,n)&&delete this.data[t][n],this.removeNamespaces(n),this.emit("removed",t,n)}hasResourceBundle(t,n){return this.getResource(t,n)!==void 0}getResourceBundle(t,n){return n||(n=this.options.defaultNS),this.options.compatibilityAPI==="v1"?{...this.getResource(t,n)}:this.getResource(t,n)}getDataByLanguage(t){return this.data[t]}hasLanguageSomeTranslations(t){const n=this.getDataByLanguage(t);return!!(n&&Object.keys(n)||[]).find(i=>n[i]&&Object.keys(n[i]).length>0)}toJSON(){return this.data}}var FI={processors:{},addPostProcessor(e){this.processors[e.name]=e},handle(e,t,n,r,i){return e.forEach(o=>{this.processors[o]&&(t=this.processors[o].process(t,n,r,i))}),t}};const PE={};class Wm extends ev{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};super(),oae(["resourceStore","languageUtils","pluralResolver","interpolator","backendConnector","i18nFormat","utils"],t,this),this.options=n,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.logger=qi.create("translator")}changeLanguage(t){t&&(this.language=t)}exists(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}};if(t==null)return!1;const r=this.resolve(t,n);return r&&r.res!==void 0}extractFromKey(t,n){let r=n.nsSeparator!==void 0?n.nsSeparator:this.options.nsSeparator;r===void 0&&(r=":");const i=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator;let o=n.ns||this.options.defaultNS||[];const s=r&&t.indexOf(r)>-1,a=!this.options.userDefinedKeySeparator&&!n.keySeparator&&!this.options.userDefinedNsSeparator&&!n.nsSeparator&&!dae(t,r,i);if(s&&!a){const l=t.match(this.interpolator.nestingRegexp);if(l&&l.length>0)return{key:t,namespaces:o};const u=t.split(r);(r!==i||r===i&&this.options.ns.indexOf(u[0])>-1)&&(o=u.shift()),t=u.join(i)}return typeof o=="string"&&(o=[o]),{key:t,namespaces:o}}translate(t,n,r){if(typeof n!="object"&&this.options.overloadTranslationOptionHandler&&(n=this.options.overloadTranslationOptionHandler(arguments)),typeof n=="object"&&(n={...n}),n||(n={}),t==null)return"";Array.isArray(t)||(t=[String(t)]);const i=n.returnDetails!==void 0?n.returnDetails:this.options.returnDetails,o=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator,{key:s,namespaces:a}=this.extractFromKey(t[t.length-1],n),l=a[a.length-1],u=n.lng||this.language,c=n.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(u&&u.toLowerCase()==="cimode"){if(c){const b=n.nsSeparator||this.options.nsSeparator;return i?{res:`${l}${b}${s}`,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:`${l}${b}${s}`}return i?{res:s,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:s}const d=this.resolve(t,n);let f=d&&d.res;const h=d&&d.usedKey||s,p=d&&d.exactUsedKey||s,m=Object.prototype.toString.apply(f),S=["[object Number]","[object Function]","[object RegExp]"],y=n.joinArrays!==void 0?n.joinArrays:this.options.joinArrays,v=!this.i18nFormat||this.i18nFormat.handleAsObject;if(v&&f&&(typeof f!="string"&&typeof f!="boolean"&&typeof f!="number")&&S.indexOf(m)<0&&!(typeof y=="string"&&m==="[object Array]")){if(!n.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const b=this.options.returnedObjectHandler?this.options.returnedObjectHandler(h,f,{...n,ns:a}):`key '${s} (${this.language})' returned an object instead of string.`;return i?(d.res=b,d):b}if(o){const b=m==="[object Array]",_=b?[]:{},w=b?p:h;for(const x in f)if(Object.prototype.hasOwnProperty.call(f,x)){const T=`${w}${o}${x}`;_[x]=this.translate(T,{...n,joinArrays:!1,ns:a}),_[x]===T&&(_[x]=f[x])}f=_}}else if(v&&typeof y=="string"&&m==="[object Array]")f=f.join(y),f&&(f=this.extendTranslation(f,t,n,r));else{let b=!1,_=!1;const w=n.count!==void 0&&typeof n.count!="string",x=Wm.hasDefaultValue(n),T=w?this.pluralResolver.getSuffix(u,n.count,n):"",P=n.ordinal&&w?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",E=n[`defaultValue${T}`]||n[`defaultValue${P}`]||n.defaultValue;!this.isValidLookup(f)&&x&&(b=!0,f=E),this.isValidLookup(f)||(_=!0,f=s);const $=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&_?void 0:f,I=x&&E!==f&&this.options.updateMissing;if(_||b||I){if(this.logger.log(I?"updateKey":"missingKey",u,l,s,I?E:f),o){const N=this.resolve(s,{...n,keySeparator:!1});N&&N.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let C=[];const R=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&R&&R[0])for(let N=0;N<R.length;N++)C.push(R[N]);else this.options.saveMissingTo==="all"?C=this.languageUtils.toResolveHierarchy(n.lng||this.language):C.push(n.lng||this.language);const M=(N,O,D)=>{const L=x&&D!==f?D:$;this.options.missingKeyHandler?this.options.missingKeyHandler(N,l,O,L,I,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(N,l,O,L,I,n),this.emit("missingKey",N,l,O,f)};this.options.saveMissing&&(this.options.saveMissingPlurals&&w?C.forEach(N=>{this.pluralResolver.getSuffixes(N,n).forEach(O=>{M([N],s+O,n[`defaultValue${O}`]||E)})}):M(C,s,E))}f=this.extendTranslation(f,t,n,d,r),_&&f===s&&this.options.appendNamespaceToMissingKey&&(f=`${l}:${s}`),(_||b)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?f=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,b?f:void 0):f=this.options.parseMissingKeyHandler(f))}return i?(d.res=f,d):f}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let c;if(u){const f=t.match(this.interpolator.nestingRegexp);c=f&&f.length}let d=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(d={...this.options.interpolation.defaultVariables,...d}),t=this.interpolator.interpolate(t,d,r.lng||this.language,r),u){const f=t.match(this.interpolator.nestingRegexp),h=f&&f.length;c<h&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var f=arguments.length,h=new Array(f),p=0;p<f;p++)h[p]=arguments[p];return o&&o[0]===h[0]&&!r.context?(s.logger.warn(`It seems you are nesting recursively key: ${h[0]} in key: ${n[0]}`),null):s.translate(...h,n)},r)),r.interpolation&&this.interpolator.reset()}const a=r.postProcess||this.options.postProcess,l=typeof a=="string"?[a]:a;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=FI.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),c=u.key;i=c;let d=u.namespaces;this.options.fallbackNS&&(d=d.concat(this.options.fallbackNS));const f=n.count!==void 0&&typeof n.count!="string",h=f&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),p=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",m=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);d.forEach(S=>{this.isValidLookup(r)||(a=S,!PE[`${m[0]}-${S}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(PE[`${m[0]}-${S}`]=!0,this.logger.warn(`key "${i}" for languages "${m.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),m.forEach(y=>{if(this.isValidLookup(r))return;s=y;const v=[c];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(v,c,y,S,n);else{let b;f&&(b=this.pluralResolver.getSuffix(y,n.count,n));const _=`${this.options.pluralSeparator}zero`,w=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(f&&(v.push(c+b),n.ordinal&&b.indexOf(w)===0&&v.push(c+b.replace(w,this.options.pluralSeparator)),h&&v.push(c+_)),p){const x=`${c}${this.options.contextSeparator}${n.context}`;v.push(x),f&&(v.push(x+b),n.ordinal&&b.indexOf(w)===0&&v.push(x+b.replace(w,this.options.pluralSeparator)),h&&v.push(x+_))}}let g;for(;g=v.pop();)this.isValidLookup(r)||(o=g,r=this.getResource(y,S,g,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:s,usedNS:a}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function Bb(e){return e.charAt(0).toUpperCase()+e.slice(1)}class AE{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=qi.create("languageUtils")}getScriptPartFromCode(t){if(t=qm(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=qm(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Bb(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Bb(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=Bb(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let 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0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const pae=["v1","v2","v3"],gae=["v4"],kE={zero:0,one:1,two:2,few:3,many:4,other:5};function mae(){const e={};return fae.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:hae[t.fc]}})}),e}class yae{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=qi.create("pluralResolver"),(!this.options.compatibilityJSON||gae.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. 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r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>kE[i]-kE[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof 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n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function ME(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function Rp(){}function xae(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class Lf extends ev{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=ME(t),this.services={},this.logger=qi,this.modules={external:[]},xae(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=OE();this.options={...i,...this.options,...ME(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(c){return c?typeof c=="function"?new c:c:null}if(!this.options.isClone){this.modules.logger?qi.init(o(this.modules.logger),this.options):qi.init(null,this.options);let c;this.modules.formatter?c=this.modules.formatter:typeof Intl<"u"&&(c=Sae);const d=new AE(this.options);this.store=new EE(this.options.resources,this.options);const f=this.services;f.logger=qi,f.resourceStore=this.store,f.languageUtils=d,f.pluralResolver=new yae(d,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),c&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(f.formatter=o(c),f.formatter.init(f,this.options),this.options.interpolation.format=f.formatter.format.bind(f.formatter)),f.interpolator=new vae(this.options),f.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},f.backendConnector=new wae(o(this.modules.backend),f.resourceStore,f,this.options),f.backendConnector.on("*",function(h){for(var p=arguments.length,m=new Array(p>1?p-1:0),S=1;S<p;S++)m[S-1]=arguments[S];t.emit(h,...m)}),this.modules.languageDetector&&(f.languageDetector=o(this.modules.languageDetector),f.languageDetector.init&&f.languageDetector.init(f,this.options.detection,this.options)),this.modules.i18nFormat&&(f.i18nFormat=o(this.modules.i18nFormat),f.i18nFormat.init&&f.i18nFormat.init(this)),this.translator=new Wm(this.services,this.options),this.translator.on("*",function(h){for(var p=arguments.length,m=new Array(p>1?p-1:0),S=1;S<p;S++)m[S-1]=arguments[S];t.emit(h,...m)}),this.modules.external.forEach(h=>{h.init&&h.init(this)})}if(this.format=this.options.interpolation.format,r||(r=Rp),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const c=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);c.length>0&&c[0]!=="dev"&&(this.options.lng=c[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is defined"),["getResource","hasResourceBundle","getResourceBundle","getDataByLanguage"].forEach(c=>{this[c]=function(){return t.store[c](...arguments)}}),["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(c=>{this[c]=function(){return t.store[c](...arguments),t}});const l=Yc(),u=()=>{const c=(d,f)=>{this.isInitialized&&!this.initializedStoreOnce&&this.logger.warn("init: i18next is already initialized. You should call init just once!"),this.isInitialized=!0,this.options.isClone||this.logger.log("initialized",this.options),this.emit("initialized",this.options),l.resolve(f),r(d,f)};if(this.languages&&this.options.compatibilityAPI!=="v1"&&!this.isInitialized)return c(null,this.t.bind(this));this.changeLanguage(this.options.lng,c)};return this.options.resources||!this.options.initImmediate?u():setTimeout(u,0),l}loadResources(t){let r=arguments.length>1&&arguments[1]!==void 0?arguments[1]:Rp;const i=typeof t=="string"?t:this.language;if(typeof t=="function"&&(r=t),!this.options.resources||this.options.partialBundledLanguages){if(i&&i.toLowerCase()==="cimode")return r();const o=[],s=a=>{if(!a)return;this.services.languageUtils.toResolveHierarchy(a).forEach(u=>{o.indexOf(u)<0&&o.push(u)})};i?s(i):this.services.languageUtils.getFallbackCodes(this.options.fallbackLng).forEach(l=>s(l)),this.options.preload&&this.options.preload.forEach(a=>s(a)),this.services.backendConnector.load(o,this.options.ns,a=>{!a&&!this.resolvedLanguage&&this.language&&this.setResolvedLanguage(this.language),r(a)})}else r(null)}reloadResources(t,n,r){const i=Yc();return t||(t=this.languages),n||(n=this.options.ns),r||(r=Rp),this.services.backendConnector.reload(t,n,o=>{i.resolve(),r(o)}),i}use(t){if(!t)throw new Error("You are passing an undefined module! Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&FI.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1))for(let n=0;n<this.languages.length;n++){const r=this.languages[n];if(!(["cimode","dev"].indexOf(r)>-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=Yc();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,c=>{s(c,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,c=new Array(u>2?u-2:0),d=2;d<u;d++)c[d-2]=arguments[d];l=i.options.overloadTranslationOptionHandler([s,a].concat(c))}else l={...a};l.lng=l.lng||o.lng,l.lngs=l.lngs||o.lngs,l.ns=l.ns||o.ns,l.keyPrefix=l.keyPrefix||r||o.keyPrefix;const f=i.options.keySeparator||".";let h;return l.keyPrefix&&Array.isArray(s)?h=s.map(p=>`${l.keyPrefix}${f}${p}`):h=l.keyPrefix?`${l.keyPrefix}${f}${s}`:s,i.t(h,l)};return typeof t=="string"?o.lng=t:o.lngs=t,o.ns=n,o.keyPrefix=r,o}t(){return this.translator&&this.translator.translate(...arguments)}exists(){return this.translator&&this.translator.exists(...arguments)}setDefaultNamespace(t){this.options.defaultNS=t}hasLoadedNamespace(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(!this.isInitialized)return this.logger.warn("hasLoadedNamespace: i18next was not initialized",this.languages),!1;if(!this.languages||!this.languages.length)return this.logger.warn("hasLoadedNamespace: i18n.languages were undefined or empty",this.languages),!1;const r=n.lng||this.resolvedLanguage||this.languages[0],i=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(r.toLowerCase()==="cimode")return!0;const s=(a,l)=>{const u=this.services.backendConnector.state[`${a}|${l}`];return u===-1||u===2};if(n.precheck){const a=n.precheck(this,s);if(a!==void 0)return a}return!!(this.hasResourceBundle(r,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||s(r,t)&&(!i||s(o,t)))}loadNamespaces(t,n){const r=Yc();return this.options.ns?(typeof t=="string"&&(t=[t]),t.forEach(i=>{this.options.ns.indexOf(i)<0&&this.options.ns.push(i)}),this.loadResources(i=>{r.resolve(),n&&n(i)}),r):(n&&n(),Promise.resolve())}loadLanguages(t,n){const r=Yc();typeof t=="string"&&(t=[t]);const i=this.options.preload||[],o=t.filter(s=>i.indexOf(s)<0);return o.length?(this.options.preload=i.concat(o),this.loadResources(s=>{r.resolve(),n&&n(s)}),r):(n&&n(),Promise.resolve())}dir(t){if(t||(t=this.resolvedLanguage||(this.languages&&this.languages.length>0?this.languages[0]:this.language)),!t)return"rtl";const n=["ar","shu","sqr","ssh","xaa","yhd","yud","aao","abh","abv","acm","acq","acw","acx","acy","adf","ads","aeb","aec","afb","ajp","apc","apd","arb","arq","ars","ary","arz","auz","avl","ayh","ayl","ayn","ayp","bbz","pga","he","iw","ps","pbt","pbu","pst","prp","prd","ug","ur","ydd","yds","yih","ji","yi","hbo","men","xmn","fa","jpr","peo","pes","prs","dv","sam","ckb"],r=this.services&&this.services.languageUtils||new AE(OE());return n.indexOf(r.getLanguagePartFromCode(t))>-1||t.toLowerCase().indexOf("-arab")>1?"rtl":"ltr"}static createInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;return new Lf(t,n)}cloneInstance(){let t=arguments.length>0&&arguments[0]!==void 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Use ""'+l+'" instead.')}o.prototype[a]=f,o.prototype[c]=f,o.prototype[d]=f})},afterSetFilter(){this._filterUpToDate=!1}}})(Te);var _i={},Oo={};Object.defineProperty(Oo,"__esModule",{value:!0});Oo.HitContext=Oo.SceneContext=Oo.Context=void 0;const lN=Ot,Nce=Pe;function Dce(e){var t=[],n=e.length,r=lN.Util,i,o;for(i=0;i<n;i++)o=e[i],r._isNumber(o)?o=Math.round(o*1e3)/1e3:r._isString(o)||(o=o+""),t.push(o);return t}var ZE=",",Lce="(",$ce=")",Fce="([",Bce="])",jce=";",Vce="()",zce="=",JE=["arc","arcTo","beginPath","bezierCurveTo","clearRect","clip","closePath","createLinearGradient","createPattern","createRadialGradient","drawImage","ellipse","fill","fillText","getImageData","createImageData","lineTo","moveTo","putImageData","quadraticCurveTo","rect","restore","rotate","save","scale","setLineDash","setTransform","stroke","strokeText","transform","translate"],Uce=["fillStyle","strokeStyle","shadowColor","shadowBlur","shadowOffsetX","shadowOffsetY","lineCap","lineDashOffset","lineJoin","lineWidth","miterLimit","font","textAlign","textBaseline","globalAlpha","globalCompositeOperation","imageSmoothingEnabled"];const Gce=100;class ov{constructor(t){this.canvas=t,Nce.Konva.enableTrace&&(this.traceArr=[],this._enableTrace())}fillShape(t){t.fillEnabled()&&this._fill(t)}_fill(t){}strokeShape(t){t.hasStroke()&&this._stroke(t)}_stroke(t){}fillStrokeShape(t){t.attrs.fillAfterStrokeEnabled?(this.strokeShape(t),this.fillShape(t)):(this.fillShape(t),this.strokeShape(t))}getTrace(t,n){var r=this.traceArr,i=r.length,o="",s,a,l,u;for(s=0;s<i;s++)a=r[s],l=a.method,l?(u=a.args,o+=l,t?o+=Vce:lN.Util._isArray(u[0])?o+=Fce+u.join(ZE)+Bce:(n&&(u=u.map(c=>typeof c=="number"?Math.floor(c):c)),o+=Lce+u.join(ZE)+$ce)):(o+=a.property,t||(o+=zce+a.val)),o+=jce;return o}clearTrace(){this.traceArr=[]}_trace(t){var n=this.traceArr,r;n.push(t),r=n.length,r>=Gce&&n.shift()}reset(){var t=this.getCanvas().getPixelRatio();this.setTransform(1*t,0,0,1*t,0,0)}getCanvas(){return this.canvas}clear(t){var n=this.getCanvas();t?this.clearRect(t.x||0,t.y||0,t.width||0,t.height||0):this.clearRect(0,0,n.getWidth()/n.pixelRatio,n.getHeight()/n.pixelRatio)}_applyLineCap(t){const n=t.attrs.lineCap;n&&this.setAttr("lineCap",n)}_applyOpacity(t){var n=t.getAbsoluteOpacity();n!==1&&this.setAttr("globalAlpha",n)}_applyLineJoin(t){const n=t.attrs.lineJoin;n&&this.setAttr("lineJoin",n)}setAttr(t,n){this._context[t]=n}arc(t,n,r,i,o,s){this._context.arc(t,n,r,i,o,s)}arcTo(t,n,r,i,o){this._context.arcTo(t,n,r,i,o)}beginPath(){this._context.beginPath()}bezierCurveTo(t,n,r,i,o,s){this._context.bezierCurveTo(t,n,r,i,o,s)}clearRect(t,n,r,i){this._context.clearRect(t,n,r,i)}clip(...t){this._context.clip.apply(this._context,t)}closePath(){this._context.closePath()}createImageData(t,n){var r=arguments;if(r.length===2)return this._context.createImageData(t,n);if(r.length===1)return this._context.createImageData(t)}createLinearGradient(t,n,r,i){return this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,s){return this._context.createRadialGradient(t,n,r,i,o,s)}drawImage(t,n,r,i,o,s,a,l,u){var c=arguments,d=this._context;c.length===3?d.drawImage(t,n,r):c.length===5?d.drawImage(t,n,r,i,o):c.length===9&&d.drawImage(t,n,r,i,o,s,a,l,u)}ellipse(t,n,r,i,o,s,a,l){this._context.ellipse(t,n,r,i,o,s,a,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return this._context.getImageData(t,n,r,i)}lineTo(t,n){this._context.lineTo(t,n)}moveTo(t,n){this._context.moveTo(t,n)}rect(t,n,r,i){this._context.rect(t,n,r,i)}putImageData(t,n,r){this._context.putImageData(t,n,r)}quadraticCurveTo(t,n,r,i){this._context.quadraticCurveTo(t,n,r,i)}restore(){this._context.restore()}rotate(t){this._context.rotate(t)}save(){this._context.save()}scale(t,n){this._context.scale(t,n)}setLineDash(t){this._context.setLineDash?this._context.setLineDash(t):"mozDash"in this._context?this._context.mozDash=t:"webkitLineDash"in this._context&&(this._context.webkitLineDash=t)}getLineDash(){return this._context.getLineDash()}setTransform(t,n,r,i,o,s){this._context.setTransform(t,n,r,i,o,s)}stroke(t){t?this._context.stroke(t):this._context.stroke()}strokeText(t,n,r,i){this._context.strokeText(t,n,r,i)}transform(t,n,r,i,o,s){this._context.transform(t,n,r,i,o,s)}translate(t,n){this._context.translate(t,n)}_enableTrace(){var t=this,n=JE.length,r=this.setAttr,i,o,s=function(a){var l=t[a],u;t[a]=function(){return o=Dce(Array.prototype.slice.call(arguments,0)),u=l.apply(t,arguments),t._trace({method:a,args:o}),u}};for(i=0;i<n;i++)s(JE[i]);t.setAttr=function(){r.apply(t,arguments);var a=arguments[0],l=arguments[1];(a==="shadowOffsetX"||a==="shadowOffsetY"||a==="shadowBlur")&&(l=l/this.canvas.getPixelRatio()),t._trace({property:a,val:l})}}_applyGlobalCompositeOperation(t){const n=t.attrs.globalCompositeOperation;var r=!n||n==="source-over";r||this.setAttr("globalCompositeOperation",n)}}Oo.Context=ov;Uce.forEach(function(e){Object.defineProperty(ov.prototype,e,{get(){return this._context[e]},set(t){this._context[e]=t}})});class Hce extends ov{constructor(t,{willReadFrequently:n=!1}={}){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:n})}_fillColor(t){var n=t.fill();this.setAttr("fillStyle",n),t._fillFunc(this)}_fillPattern(t){this.setAttr("fillStyle",t._getFillPattern()),t._fillFunc(this)}_fillLinearGradient(t){var n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",s=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,a=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),c=l.x*u,d=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",s*Math.min(Math.abs(c),Math.abs(d))),this.setAttr("shadowOffsetX",a.x*c),this.setAttr("shadowOffsetY",a.y*d)}}Oo.SceneContext=Hce;class qce extends ov{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}Oo.HitContext=qce;Object.defineProperty(_i,"__esModule",{value:!0});_i.HitCanvas=_i.SceneCanvas=_i.Canvas=void 0;const Qm=Ot,uN=Oo,cN=Pe,Wce=Te,Kce=de;var Np;function Xce(){if(Np)return Np;var e=Qm.Util.createCanvasElement(),t=e.getContext("2d");return Np=function(){var n=cN.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),Qm.Util.releaseCanvas(e),Np}class sv{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||cN.Konva.pixelRatio||Xce();this.pixelRatio=r,this._canvas=Qm.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return Qm.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}_i.Canvas=sv;Wce.Factory.addGetterSetter(sv,"pixelRatio",void 0,(0,Kce.getNumberValidator)());class Yce extends sv{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new uN.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}_i.SceneCanvas=Yce;class Qce extends sv{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new uN.HitContext(this),this.setSize(t.width,t.height)}}_i.HitCanvas=Qce;var av={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=Pe,n=Ot;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(f=>f.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var c=a.dragDistance(),d=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(d<c||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(c=>c.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(av);Object.defineProperty(wt,"__esModule",{value:!0});wt.Node=void 0;const ke=Ot,Ah=Te,Dp=_i,va=Pe,Br=av,Vt=de;var Sg="absoluteOpacity",Lp="allEventListeners",bo="absoluteTransform",e6="absoluteScale",ba="canvas",Zce="Change",Jce="children",ede="konva",m2="listening",t6="mouseenter",n6="mouseleave",r6="set",i6="Shape",_g=" ",o6="stage",ss="transform",tde="Stage",y2="visible",nde=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(_g);let rde=1,Se=class v2{constructor(t){this._id=rde++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===ss||t===bo)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===ss||t===bo,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(_g);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(ba)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===bo&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(ba)){const{scene:t,filter:n,hit:r}=this._cache.get(ba);ke.Util.releaseCanvas(t,n,r),this._cache.delete(ba)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,c=n.drawBorder||!1,d=n.hitCanvasPixelRatio||1;if(!i||!o){ke.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var f=new Dp.SceneCanvas({pixelRatio:s,width:i,height:o}),h=new Dp.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),p=new Dp.HitCanvas({pixelRatio:d,width:i,height:o}),m=f.getContext(),S=p.getContext();return p.isCache=!0,f.isCache=!0,this._cache.delete(ba),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(f.getContext()._context.imageSmoothingEnabled=!1,h.getContext()._context.imageSmoothingEnabled=!1),m.save(),S.save(),m.translate(-a,-l),S.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(Sg),this._clearSelfAndDescendantCache(e6),this.drawScene(f,this),this.drawHit(p,this),this._isUnderCache=!1,m.restore(),S.restore(),c&&(m.save(),m.beginPath(),m.rect(0,0,i,o),m.closePath(),m.setAttr("strokeStyle","red"),m.setAttr("lineWidth",5),m.stroke(),m.restore()),this._cache.set(ba,{scene:f,filter:h,hit:p,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(ba)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var c=l.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var c=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/c,r.getHeight()/c),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){ke.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(d){ke.Util.error("Unable to apply filter. "+d.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(Lp),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(_g),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(_g),i=r.length,o,s,a,l,u,c;if(this._cache&&this._cache.delete(Lp),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],c=l[1],u)this.eventListeners[u]&&this._off(u,c,n);else for(s in this.eventListeners)this._off(s,c,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=ke.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),Br.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(bo),this._clearSelfAndDescendantCache(Sg),this._clearSelfAndDescendantCache(e6),this._clearSelfAndDescendantCache(o6),this._clearSelfAndDescendantCache(y2),this._clearSelfAndDescendantCache(m2)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+ke.Util._capitalize(t);return ke.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==Jce&&(r=r6+ke.Util._capitalize(n),ke.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(m2,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(y2,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;Br.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!va.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==i6&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==tde&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(ss),this._clearSelfAndDescendantCache(bo)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new ke.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(ss);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(ss),this._clearSelfAndDescendantCache(bo),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return ke.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return ke.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return ke.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return ke.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return ke.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&ke.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(Sg,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=ke.Util.isObject(i)&&!ke.Util._isPlainObject(i)&&!ke.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),ke.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],ke.Util.isValidSelector(o)||(ke.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),ke.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),ke.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(o6,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(bo,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new ke.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(bo)||new ke.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(ss,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(ss)||new ke.Transform;r.reset();var i=this.x(),o=this.y(),s=va.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,c=this.attrs.skewY||0,d=this.attrs.offsetX||0,f=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||c!==0)&&r.skew(u,c),(a!==1||l!==1)&&r.scale(a,l),(d!==0||f!==0)&&r.translate(-1*d,-1*f),r.dirty=!1,r}clone(t){var n=ke.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(ede)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new Dp.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,ke.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():va.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+Zce,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[r6+ke.Util._capitalize(t)];return ke.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(va.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!ke.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===i6&&(n.target=this);var i=(t===t6||t===n6)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===t6||t===n6)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(Lp))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(Lp,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;Br.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){Br.DD._dragElements.has(this._id)||this._createDragElement(t);const r=Br.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:ke.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=Br.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),Br.DD._endDragBefore(t),Br.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=Br.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||va.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;Br.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=Br.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&Br.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return ke.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return ke.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=v2.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),va.Konva[r]||(ke.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=va.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(v2._createNode(i[a]));return o}};wt.Node=Se;Se.prototype.nodeType="Node";Se.prototype._attrsAffectingSize=[];Se.prototype.eventListeners={};Se.prototype.on.call(Se.prototype,nde,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(ss),this._clearSelfAndDescendantCache(bo)});Se.prototype.on.call(Se.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(y2)});Se.prototype.on.call(Se.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(m2)});Se.prototype.on.call(Se.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(Sg)});const ot=Ah.Factory.addGetterSetter;ot(Se,"zIndex");ot(Se,"absolutePosition");ot(Se,"position");ot(Se,"x",0,(0,Vt.getNumberValidator)());ot(Se,"y",0,(0,Vt.getNumberValidator)());ot(Se,"globalCompositeOperation","source-over",(0,Vt.getStringValidator)());ot(Se,"opacity",1,(0,Vt.getNumberValidator)());ot(Se,"name","",(0,Vt.getStringValidator)());ot(Se,"id","",(0,Vt.getStringValidator)());ot(Se,"rotation",0,(0,Vt.getNumberValidator)());Ah.Factory.addComponentsGetterSetter(Se,"scale",["x","y"]);ot(Se,"scaleX",1,(0,Vt.getNumberValidator)());ot(Se,"scaleY",1,(0,Vt.getNumberValidator)());Ah.Factory.addComponentsGetterSetter(Se,"skew",["x","y"]);ot(Se,"skewX",0,(0,Vt.getNumberValidator)());ot(Se,"skewY",0,(0,Vt.getNumberValidator)());Ah.Factory.addComponentsGetterSetter(Se,"offset",["x","y"]);ot(Se,"offsetX",0,(0,Vt.getNumberValidator)());ot(Se,"offsetY",0,(0,Vt.getNumberValidator)());ot(Se,"dragDistance",null,(0,Vt.getNumberValidator)());ot(Se,"width",0,(0,Vt.getNumberValidator)());ot(Se,"height",0,(0,Vt.getNumberValidator)());ot(Se,"listening",!0,(0,Vt.getBooleanValidator)());ot(Se,"preventDefault",!0,(0,Vt.getBooleanValidator)());ot(Se,"filters",null,function(e){return this._filterUpToDate=!1,e});ot(Se,"visible",!0,(0,Vt.getBooleanValidator)());ot(Se,"transformsEnabled","all",(0,Vt.getStringValidator)());ot(Se,"size");ot(Se,"dragBoundFunc");ot(Se,"draggable",!1,(0,Vt.getBooleanValidator)());Ah.Factory.backCompat(Se,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var gl={};Object.defineProperty(gl,"__esModule",{value:!0});gl.Container=void 0;const vc=Te,Hb=wt,lv=de;class ml extends Hb.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=Hb.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=Hb.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const c=r===this;if(u){o.save();var d=this.getAbsoluteTransform(r),f=d.getMatrix();o.transform(f[0],f[1],f[2],f[3],f[4],f[5]),o.beginPath();let S;if(l)S=l.call(this,o,this);else{var h=this.clipX(),p=this.clipY();o.rect(h,p,s,a)}o.clip.apply(o,S),f=d.copy().invert().getMatrix(),o.transform(f[0],f[1],f[2],f[3],f[4],f[5])}var m=!c&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";m&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(S){S[t](n,r)}),m&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},c=this;(n=this.children)===null||n===void 0||n.forEach(function(m){if(m.visible()){var S=m.getClientRect({relativeTo:c,skipShadow:t.skipShadow,skipStroke:t.skipStroke});S.width===0&&S.height===0||(o===void 0?(o=S.x,s=S.y,a=S.x+S.width,l=S.y+S.height):(o=Math.min(o,S.x),s=Math.min(s,S.y),a=Math.max(a,S.x+S.width),l=Math.max(l,S.y+S.height)))}});for(var d=this.find("Shape"),f=!1,h=0;h<d.length;h++){var p=d[h];if(p._isVisible(this)){f=!0;break}}return f&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}gl.Container=ml;vc.Factory.addComponentsGetterSetter(ml,"clip",["x","y","width","height"]);vc.Factory.addGetterSetter(ml,"clipX",void 0,(0,lv.getNumberValidator)());vc.Factory.addGetterSetter(ml,"clipY",void 0,(0,lv.getNumberValidator)());vc.Factory.addGetterSetter(ml,"clipWidth",void 0,(0,lv.getNumberValidator)());vc.Factory.addGetterSetter(ml,"clipHeight",void 0,(0,lv.getNumberValidator)());vc.Factory.addGetterSetter(ml,"clipFunc");var dN={},Tr={};Object.defineProperty(Tr,"__esModule",{value:!0});Tr.releaseCapture=Tr.setPointerCapture=Tr.hasPointerCapture=Tr.createEvent=Tr.getCapturedShape=void 0;const ide=Pe,Ff=new Map,fN=ide.Konva._global.PointerEvent!==void 0;function ode(e){return Ff.get(e)}Tr.getCapturedShape=ode;function wC(e){return{evt:e,pointerId:e.pointerId}}Tr.createEvent=wC;function sde(e,t){return Ff.get(e)===t}Tr.hasPointerCapture=sde;function ade(e,t){hN(e),t.getStage()&&(Ff.set(e,t),fN&&t._fire("gotpointercapture",wC(new PointerEvent("gotpointercapture"))))}Tr.setPointerCapture=ade;function hN(e,t){const n=Ff.get(e);if(!n)return;const r=n.getStage();r&&r.content,Ff.delete(e),fN&&n._fire("lostpointercapture",wC(new PointerEvent("lostpointercapture")))}Tr.releaseCapture=hN;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=Ot,n=Te,r=gl,i=Pe,o=_i,s=av,a=Pe,l=Tr;var u="Stage",c="string",d="px",f="mouseout",h="mouseleave",p="mouseover",m="mouseenter",S="mousemove",y="mousedown",v="mouseup",g="pointermove",b="pointerdown",_="pointerup",w="pointercancel",x="lostpointercapture",T="pointerout",P="pointerleave",E="pointerover",A="pointerenter",$="contextmenu",I="touchstart",C="touchend",R="touchmove",M="touchcancel",N="wheel",O=5,D=[[m,"_pointerenter"],[y,"_pointerdown"],[S,"_pointermove"],[v,"_pointerup"],[h,"_pointerleave"],[I,"_pointerdown"],[R,"_pointermove"],[C,"_pointerup"],[M,"_pointercancel"],[p,"_pointerover"],[N,"_wheel"],[$,"_contextmenu"],[b,"_pointerdown"],[g,"_pointermove"],[_,"_pointerup"],[w,"_pointercancel"],[x,"_lostpointercapture"]];const L={mouse:{[T]:f,[P]:h,[E]:p,[A]:m,[g]:S,[b]:y,[_]:v,[w]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[T]:"touchout",[P]:"touchleave",[E]:"touchover",[A]:"touchenter",[g]:R,[b]:I,[_]:C,[w]:M,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[T]:T,[P]:P,[E]:E,[A]:A,[g]:g,[b]:b,[_]:_,[w]:w,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},j=Y=>Y.indexOf("pointer")>=0?"pointer":Y.indexOf("touch")>=0?"touch":"mouse",U=Y=>{const B=j(Y);if(B==="pointer")return i.Konva.pointerEventsEnabled&&L.pointer;if(B==="touch")return L.touch;if(B==="mouse")return L.mouse};function G(Y={}){return(Y.clipFunc||Y.clipWidth||Y.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),Y}const W="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class X extends r.Container{constructor(B){super(G(B)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{G(this.attrs)}),this._checkVisibility()}_validateAdd(B){const H=B.getType()==="Layer",Q=B.getType()==="FastLayer";H||Q||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const B=this.visible()?"":"none";this.content.style.display=B}setContainer(B){if(typeof B===c){if(B.charAt(0)==="."){var H=B.slice(1);B=document.getElementsByClassName(H)[0]}else{var Q;B.charAt(0)!=="#"?Q=B:Q=B.slice(1),B=document.getElementById(Q)}if(!B)throw"Can not find container in document with id "+Q}return this._setAttr("container",B),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),B.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var B=this.children,H=B.length,Q;for(Q=0;Q<H;Q++)B[Q].clear();return this}clone(B){return B||(B={}),B.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,B)}destroy(){super.destroy();var B=this.content;B&&t.Util._isInDocument(B)&&this.container().removeChild(B);var H=e.stages.indexOf(this);return H>-1&&e.stages.splice(H,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const B=this._pointerPositions[0]||this._changedPointerPositions[0];return B?{x:B.x,y:B.y}:(t.Util.warn(W),null)}_getPointerById(B){return this._pointerPositions.find(H=>H.id===B)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(B){B=B||{},B.x=B.x||0,B.y=B.y||0,B.width=B.width||this.width(),B.height=B.height||this.height();var H=new o.SceneCanvas({width:B.width,height:B.height,pixelRatio:B.pixelRatio||1}),Q=H.getContext()._context,J=this.children;return(B.x||B.y)&&Q.translate(-1*B.x,-1*B.y),J.forEach(function(ne){if(ne.isVisible()){var te=ne._toKonvaCanvas(B);Q.drawImage(te._canvas,B.x,B.y,te.getWidth()/te.getPixelRatio(),te.getHeight()/te.getPixelRatio())}}),H}getIntersection(B){if(!B)return null;var H=this.children,Q=H.length,J=Q-1,ne;for(ne=J;ne>=0;ne--){const te=H[ne].getIntersection(B);if(te)return te}return null}_resizeDOM(){var B=this.width(),H=this.height();this.content&&(this.content.style.width=B+d,this.content.style.height=H+d),this.bufferCanvas.setSize(B,H),this.bufferHitCanvas.setSize(B,H),this.children.forEach(Q=>{Q.setSize({width:B,height:H}),Q.draw()})}add(B,...H){if(arguments.length>1){for(var Q=0;Q<arguments.length;Q++)this.add(arguments[Q]);return this}super.add(B);var J=this.children.length;return J>O&&t.Util.warn("The stage has "+J+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),B.setSize({width:this.width(),height:this.height()}),B.draw(),i.Konva.isBrowser&&this.content.appendChild(B.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(B){return l.hasPointerCapture(B,this)}setPointerCapture(B){l.setPointerCapture(B,this)}releaseCapture(B){l.releaseCapture(B,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&D.forEach(([B,H])=>{this.content.addEventListener(B,Q=>{this[H](Q)},{passive:!1})})}_pointerenter(B){this.setPointersPositions(B);const H=U(B.type);this._fire(H.pointerenter,{evt:B,target:this,currentTarget:this})}_pointerover(B){this.setPointersPositions(B);const H=U(B.type);this._fire(H.pointerover,{evt:B,target:this,currentTarget:this})}_getTargetShape(B){let H=this[B+"targetShape"];return H&&!H.getStage()&&(H=null),H}_pointerleave(B){const H=U(B.type),Q=j(B.type);if(H){this.setPointersPositions(B);var J=this._getTargetShape(Q),ne=!s.DD.isDragging||i.Konva.hitOnDragEnabled;J&&ne?(J._fireAndBubble(H.pointerout,{evt:B}),J._fireAndBubble(H.pointerleave,{evt:B}),this._fire(H.pointerleave,{evt:B,target:this,currentTarget:this}),this[Q+"targetShape"]=null):ne&&(this._fire(H.pointerleave,{evt:B,target:this,currentTarget:this}),this._fire(H.pointerout,{evt:B,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(B){const H=U(B.type),Q=j(B.type);if(H){this.setPointersPositions(B);var J=!1;this._changedPointerPositions.forEach(ne=>{var te=this.getIntersection(ne);if(s.DD.justDragged=!1,i.Konva["_"+Q+"ListenClick"]=!0,!(te&&te.isListening()))return;i.Konva.capturePointerEventsEnabled&&te.setPointerCapture(ne.id),this[Q+"ClickStartShape"]=te,te._fireAndBubble(H.pointerdown,{evt:B,pointerId:ne.id}),J=!0;const ve=B.type.indexOf("touch")>=0;te.preventDefault()&&B.cancelable&&ve&&B.preventDefault()}),J||this._fire(H.pointerdown,{evt:B,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(B){const H=U(B.type),Q=j(B.type);if(!H)return;s.DD.isDragging&&s.DD.node.preventDefault()&&B.cancelable&&B.preventDefault(),this.setPointersPositions(B);var J=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!J)return;var ne={};let te=!1;var xe=this._getTargetShape(Q);this._changedPointerPositions.forEach(ve=>{const ce=l.getCapturedShape(ve.id)||this.getIntersection(ve),De=ve.id,se={evt:B,pointerId:De};var pt=xe!==ce;if(pt&&xe&&(xe._fireAndBubble(H.pointerout,Object.assign({},se),ce),xe._fireAndBubble(H.pointerleave,Object.assign({},se),ce)),ce){if(ne[ce._id])return;ne[ce._id]=!0}ce&&ce.isListening()?(te=!0,pt&&(ce._fireAndBubble(H.pointerover,Object.assign({},se),xe),ce._fireAndBubble(H.pointerenter,Object.assign({},se),xe),this[Q+"targetShape"]=ce),ce._fireAndBubble(H.pointermove,Object.assign({},se))):xe&&(this._fire(H.pointerover,{evt:B,target:this,currentTarget:this,pointerId:De}),this[Q+"targetShape"]=null)}),te||this._fire(H.pointermove,{evt:B,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(B){const H=U(B.type),Q=j(B.type);if(!H)return;this.setPointersPositions(B);const J=this[Q+"ClickStartShape"],ne=this[Q+"ClickEndShape"];var te={};let xe=!1;this._changedPointerPositions.forEach(ve=>{const ce=l.getCapturedShape(ve.id)||this.getIntersection(ve);if(ce){if(ce.releaseCapture(ve.id),te[ce._id])return;te[ce._id]=!0}const De=ve.id,se={evt:B,pointerId:De};let pt=!1;i.Konva["_"+Q+"InDblClickWindow"]?(pt=!0,clearTimeout(this[Q+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+Q+"InDblClickWindow"]=!0,clearTimeout(this[Q+"DblTimeout"])),this[Q+"DblTimeout"]=setTimeout(function(){i.Konva["_"+Q+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),ce&&ce.isListening()?(xe=!0,this[Q+"ClickEndShape"]=ce,ce._fireAndBubble(H.pointerup,Object.assign({},se)),i.Konva["_"+Q+"ListenClick"]&&J&&J===ce&&(ce._fireAndBubble(H.pointerclick,Object.assign({},se)),pt&&ne&&ne===ce&&ce._fireAndBubble(H.pointerdblclick,Object.assign({},se)))):(this[Q+"ClickEndShape"]=null,i.Konva["_"+Q+"ListenClick"]&&this._fire(H.pointerclick,{evt:B,target:this,currentTarget:this,pointerId:De}),pt&&this._fire(H.pointerdblclick,{evt:B,target:this,currentTarget:this,pointerId:De}))}),xe||this._fire(H.pointerup,{evt:B,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+Q+"ListenClick"]=!1,B.cancelable&&Q!=="touch"&&B.preventDefault()}_contextmenu(B){this.setPointersPositions(B);var H=this.getIntersection(this.getPointerPosition());H&&H.isListening()?H._fireAndBubble($,{evt:B}):this._fire($,{evt:B,target:this,currentTarget:this})}_wheel(B){this.setPointersPositions(B);var H=this.getIntersection(this.getPointerPosition());H&&H.isListening()?H._fireAndBubble(N,{evt:B}):this._fire(N,{evt:B,target:this,currentTarget:this})}_pointercancel(B){this.setPointersPositions(B);const H=l.getCapturedShape(B.pointerId)||this.getIntersection(this.getPointerPosition());H&&H._fireAndBubble(_,l.createEvent(B)),l.releaseCapture(B.pointerId)}_lostpointercapture(B){l.releaseCapture(B.pointerId)}setPointersPositions(B){var H=this._getContentPosition(),Q=null,J=null;B=B||window.event,B.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(B.touches,ne=>{this._pointerPositions.push({id:ne.identifier,x:(ne.clientX-H.left)/H.scaleX,y:(ne.clientY-H.top)/H.scaleY})}),Array.prototype.forEach.call(B.changedTouches||B.touches,ne=>{this._changedPointerPositions.push({id:ne.identifier,x:(ne.clientX-H.left)/H.scaleX,y:(ne.clientY-H.top)/H.scaleY})})):(Q=(B.clientX-H.left)/H.scaleX,J=(B.clientY-H.top)/H.scaleY,this.pointerPos={x:Q,y:J},this._pointerPositions=[{x:Q,y:J,id:t.Util._getFirstPointerId(B)}],this._changedPointerPositions=[{x:Q,y:J,id:t.Util._getFirstPointerId(B)}])}_setPointerPosition(B){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(B)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var B=this.content.getBoundingClientRect();return{top:B.top,left:B.left,scaleX:B.width/this.content.clientWidth||1,scaleY:B.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var B=this.container();if(!B)throw"Stage has no container. A container is required.";B.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),B.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(B){B.batchDraw()}),this}}e.Stage=X,X.prototype.nodeType=u,(0,a._registerNode)(X),n.Factory.addGetterSetter(X,"container")})(dN);var kh={},on={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=Pe,n=Ot,r=Te,i=wt,o=de,s=Pe,a=Tr;var l="hasShadow",u="shadowRGBA",c="patternImage",d="linearGradient",f="radialGradient";let h;function p(){return h||(h=n.Util.createCanvasElement().getContext("2d"),h)}e.shapes={};function m(P){const E=this.attrs.fillRule;E?P.fill(E):P.fill()}function S(P){P.stroke()}function y(P){P.fill()}function v(P){P.stroke()}function g(){this._clearCache(l)}function b(){this._clearCache(u)}function _(){this._clearCache(c)}function w(){this._clearCache(d)}function x(){this._clearCache(f)}class T extends i.Node{constructor(E){super(E);let A;for(;A=n.Util.getRandomColor(),!(A&&!(A in e.shapes)););this.colorKey=A,e.shapes[A]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(c,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var E=p();const A=E.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(A&&A.setTransform){const $=new n.Transform;$.translate(this.fillPatternX(),this.fillPatternY()),$.rotate(t.Konva.getAngle(this.fillPatternRotation())),$.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),$.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const I=$.getMatrix(),C=typeof DOMMatrix>"u"?{a:I[0],b:I[1],c:I[2],d:I[3],e:I[4],f:I[5]}:new DOMMatrix(I);A.setTransform(C)}return A}}_getLinearGradient(){return this._getCache(d,this.__getLinearGradient)}__getLinearGradient(){var E=this.fillLinearGradientColorStops();if(E){for(var A=p(),$=this.fillLinearGradientStartPoint(),I=this.fillLinearGradientEndPoint(),C=A.createLinearGradient($.x,$.y,I.x,I.y),R=0;R<E.length;R+=2)C.addColorStop(E[R],E[R+1]);return C}}_getRadialGradient(){return this._getCache(f,this.__getRadialGradient)}__getRadialGradient(){var E=this.fillRadialGradientColorStops();if(E){for(var A=p(),$=this.fillRadialGradientStartPoint(),I=this.fillRadialGradientEndPoint(),C=A.createRadialGradient($.x,$.y,this.fillRadialGradientStartRadius(),I.x,I.y,this.fillRadialGradientEndRadius()),R=0;R<E.length;R+=2)C.addColorStop(E[R],E[R+1]);return C}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var E=n.Util.colorToRGBA(this.shadowColor());if(E)return"rgba("+E.r+","+E.g+","+E.b+","+E.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const E=this.hitStrokeWidth();return E==="auto"?this.hasStroke():this.strokeEnabled()&&!!E}intersects(E){var A=this.getStage(),$=A.bufferHitCanvas,I;return $.getContext().clear(),this.drawHit($,null,!0),I=$.context.getImageData(Math.round(E.x),Math.round(E.y),1,1).data,I[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(E){var A;if(!this.getStage()||!((A=this.attrs.perfectDrawEnabled)!==null&&A!==void 0?A:!0))return!1;const I=E||this.hasFill(),C=this.hasStroke(),R=this.getAbsoluteOpacity()!==1;if(I&&C&&R)return!0;const M=this.hasShadow(),N=this.shadowForStrokeEnabled();return!!(I&&C&&M&&N)}setStrokeHitEnabled(E){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),E?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var E=this.size();return{x:this._centroid?-E.width/2:0,y:this._centroid?-E.height/2:0,width:E.width,height:E.height}}getClientRect(E={}){const A=E.skipTransform,$=E.relativeTo,I=this.getSelfRect(),R=!E.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,M=I.width+R,N=I.height+R,O=!E.skipShadow&&this.hasShadow(),D=O?this.shadowOffsetX():0,L=O?this.shadowOffsetY():0,j=M+Math.abs(D),U=N+Math.abs(L),G=O&&this.shadowBlur()||0,W=j+G*2,X=U+G*2,Y={width:W,height:X,x:-(R/2+G)+Math.min(D,0)+I.x,y:-(R/2+G)+Math.min(L,0)+I.y};return A?Y:this._transformedRect(Y,$)}drawScene(E,A){var $=this.getLayer(),I=E||$.getCanvas(),C=I.getContext(),R=this._getCanvasCache(),M=this.getSceneFunc(),N=this.hasShadow(),O,D,L,j=I.isCache,U=A===this;if(!this.isVisible()&&!U)return this;if(R){C.save();var G=this.getAbsoluteTransform(A).getMatrix();return C.transform(G[0],G[1],G[2],G[3],G[4],G[5]),this._drawCachedSceneCanvas(C),C.restore(),this}if(!M)return this;if(C.save(),this._useBufferCanvas()&&!j){O=this.getStage(),D=O.bufferCanvas,L=D.getContext(),L.clear(),L.save(),L._applyLineJoin(this);var W=this.getAbsoluteTransform(A).getMatrix();L.transform(W[0],W[1],W[2],W[3],W[4],W[5]),M.call(this,L,this),L.restore();var X=D.pixelRatio;N&&C._applyShadow(this),C._applyOpacity(this),C._applyGlobalCompositeOperation(this),C.drawImage(D._canvas,0,0,D.width/X,D.height/X)}else{if(C._applyLineJoin(this),!U){var W=this.getAbsoluteTransform(A).getMatrix();C.transform(W[0],W[1],W[2],W[3],W[4],W[5]),C._applyOpacity(this),C._applyGlobalCompositeOperation(this)}N&&C._applyShadow(this),M.call(this,C,this)}return C.restore(),this}drawHit(E,A,$=!1){if(!this.shouldDrawHit(A,$))return this;var I=this.getLayer(),C=E||I.hitCanvas,R=C&&C.getContext(),M=this.hitFunc()||this.sceneFunc(),N=this._getCanvasCache(),O=N&&N.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),O){R.save();var D=this.getAbsoluteTransform(A).getMatrix();return R.transform(D[0],D[1],D[2],D[3],D[4],D[5]),this._drawCachedHitCanvas(R),R.restore(),this}if(!M)return this;if(R.save(),R._applyLineJoin(this),!(this===A)){var j=this.getAbsoluteTransform(A).getMatrix();R.transform(j[0],j[1],j[2],j[3],j[4],j[5])}return M.call(this,R,this),R.restore(),this}drawHitFromCache(E=0){var A=this._getCanvasCache(),$=this._getCachedSceneCanvas(),I=A.hit,C=I.getContext(),R=I.getWidth(),M=I.getHeight(),N,O,D,L,j,U;C.clear(),C.drawImage($._canvas,0,0,R,M);try{for(N=C.getImageData(0,0,R,M),O=N.data,D=O.length,L=n.Util._hexToRgb(this.colorKey),j=0;j<D;j+=4)U=O[j+3],U>E?(O[j]=L.r,O[j+1]=L.g,O[j+2]=L.b,O[j+3]=255):O[j+3]=0;C.putImageData(N,0,0)}catch(G){n.Util.error("Unable to draw hit graph from cached scene canvas. "+G.message)}return this}hasPointerCapture(E){return a.hasPointerCapture(E,this)}setPointerCapture(E){a.setPointerCapture(E,this)}releaseCapture(E){a.releaseCapture(E,this)}}e.Shape=T,T.prototype._fillFunc=m,T.prototype._strokeFunc=S,T.prototype._fillFuncHit=y,T.prototype._strokeFuncHit=v,T.prototype._centroid=!1,T.prototype.nodeType="Shape",(0,s._registerNode)(T),T.prototype.eventListeners={},T.prototype.on.call(T.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",g),T.prototype.on.call(T.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",b),T.prototype.on.call(T.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",_),T.prototype.on.call(T.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",w),T.prototype.on.call(T.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",x),r.Factory.addGetterSetter(T,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(T,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(T,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(T,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(T,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(T,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(T,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(T,"lineJoin"),r.Factory.addGetterSetter(T,"lineCap"),r.Factory.addGetterSetter(T,"sceneFunc"),r.Factory.addGetterSetter(T,"hitFunc"),r.Factory.addGetterSetter(T,"dash"),r.Factory.addGetterSetter(T,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(T,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(T,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(T,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(T,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(T,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(T,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(T,"fillPatternImage"),r.Factory.addGetterSetter(T,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(T,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(T,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(T,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(T,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(T,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(T,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(T,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(T,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(T,"fillEnabled",!0),r.Factory.addGetterSetter(T,"strokeEnabled",!0),r.Factory.addGetterSetter(T,"shadowEnabled",!0),r.Factory.addGetterSetter(T,"dashEnabled",!0),r.Factory.addGetterSetter(T,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(T,"fillPriority","color"),r.Factory.addComponentsGetterSetter(T,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(T,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(T,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(T,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(T,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(T,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(T,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(T,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(T,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(T,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(T,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(T,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(T,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(T,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(T,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(T,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(T,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(T,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(T,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(T,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(T,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(T,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(T,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(T,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(T,"fillPatternRotation",0),r.Factory.addGetterSetter(T,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(T,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(on);Object.defineProperty(kh,"__esModule",{value:!0});kh.Layer=void 0;const go=Ot,qb=gl,Gl=wt,xC=Te,s6=_i,lde=de,ude=on,cde=Pe;var dde="#",fde="beforeDraw",hde="draw",pN=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],pde=pN.length;class bc extends qb.Container{constructor(t){super(t),this.canvas=new s6.SceneCanvas,this.hitCanvas=new s6.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){Gl.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=Gl.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(Gl.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(Gl.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return Gl.Node.prototype.remove.call(this),t&&t.parentNode&&go.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&go.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),Gl.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){go.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){go.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,go.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<pde;i++){const o=pN[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=go.Util._rgbToHex(r[0],r[1],r[2]),s=ude.shapes[dde+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(fde,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),qb.Container.prototype.drawScene.call(this,i,n),this._fire(hde,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),qb.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){go.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return go.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return go.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}kh.Layer=bc;bc.prototype.nodeType="Layer";(0,cde._registerNode)(bc);xC.Factory.addGetterSetter(bc,"imageSmoothingEnabled",!0);xC.Factory.addGetterSetter(bc,"clearBeforeDraw",!0);xC.Factory.addGetterSetter(bc,"hitGraphEnabled",!0,(0,lde.getBooleanValidator)());var uv={};Object.defineProperty(uv,"__esModule",{value:!0});uv.FastLayer=void 0;const gde=Ot,mde=kh,yde=Pe;class CC extends mde.Layer{constructor(t){super(t),this.listening(!1),gde.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}uv.FastLayer=CC;CC.prototype.nodeType="FastLayer";(0,yde._registerNode)(CC);var Sc={};Object.defineProperty(Sc,"__esModule",{value:!0});Sc.Group=void 0;const vde=Ot,bde=gl,Sde=Pe;class TC extends bde.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&vde.Util.throw("You may only add groups and shapes to groups.")}}Sc.Group=TC;TC.prototype.nodeType="Group";(0,Sde._registerNode)(TC);var _c={};Object.defineProperty(_c,"__esModule",{value:!0});_c.Animation=void 0;const Wb=Pe,a6=Ot;var Kb=function(){return Wb.glob.performance&&Wb.glob.performance.now?function(){return Wb.glob.performance.now()}:function(){return new Date().getTime()}}();class Gi{constructor(t,n){this.id=Gi.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Kb(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=Gi,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=Kb(),Gi._addAnimation(this),this}stop(){return Gi._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,c,d;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(Kb()),l=i.length,o?d=o.call(r,r.frame)!==!1:d=!0,!!d)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(c in t)t.hasOwnProperty(c)&&t[c].batchDraw()}static _animationLoop(){var t=Gi;t.animations.length?(t._runFrames(),a6.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,a6.Util.requestAnimFrame(this._animationLoop))}}_c.Animation=Gi;Gi.animations=[];Gi.animIdCounter=0;Gi.animRunning=!1;var gN={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=Ot,n=_c,r=wt,i=Pe;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,c=["fill","stroke","shadowColor"];class d{constructor(p,m,S,y,v,g,b){this.prop=p,this.propFunc=m,this.begin=y,this._pos=y,this.duration=g,this._change=0,this.prevPos=0,this.yoyo=b,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=S,this._change=v-this.begin,this.pause()}fire(p){var m=this[p];m&&m()}setTime(p){p>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():p<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=p,this.update())}getTime(){return this._time}setPosition(p){this.prevPos=this._pos,this.propFunc(p),this._pos=p}getPosition(p){return p===void 0&&(p=this._time),this.func(p,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(p){this.pause(),this._time=p,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var p=this.getTimer()-this._startTime;this.state===a?this.setTime(p):this.state===l&&this.setTime(this.duration-p)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class f{constructor(p){var m=this,S=p.node,y=S._id,v,g=p.easing||e.Easings.Linear,b=!!p.yoyo,_;typeof p.duration>"u"?v=.3:p.duration===0?v=.001:v=p.duration,this.node=S,this._id=u++;var w=S.getLayer()||(S instanceof i.Konva.Stage?S.getLayers():null);w||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){m.tween.onEnterFrame()},w),this.tween=new d(_,function(x){m._tweenFunc(x)},g,0,1,v*1e3,b),this._addListeners(),f.attrs[y]||(f.attrs[y]={}),f.attrs[y][this._id]||(f.attrs[y][this._id]={}),f.tweens[y]||(f.tweens[y]={});for(_ in p)o[_]===void 0&&this._addAttr(_,p[_]);this.reset(),this.onFinish=p.onFinish,this.onReset=p.onReset,this.onUpdate=p.onUpdate}_addAttr(p,m){var S=this.node,y=S._id,v,g,b,_,w,x,T,P;if(b=f.tweens[y][p],b&&delete f.attrs[y][b][p],v=S.getAttr(p),t.Util._isArray(m))if(g=[],w=Math.max(m.length,v.length),p==="points"&&m.length!==v.length&&(m.length>v.length?(T=v,v=t.Util._prepareArrayForTween(v,m,S.closed())):(x=m,m=t.Util._prepareArrayForTween(m,v,S.closed()))),p.indexOf("fill")===0)for(_=0;_<w;_++)if(_%2===0)g.push(m[_]-v[_]);else{var E=t.Util.colorToRGBA(v[_]);P=t.Util.colorToRGBA(m[_]),v[_]=E,g.push({r:P.r-E.r,g:P.g-E.g,b:P.b-E.b,a:P.a-E.a})}else for(_=0;_<w;_++)g.push(m[_]-v[_]);else c.indexOf(p)!==-1?(v=t.Util.colorToRGBA(v),P=t.Util.colorToRGBA(m),g={r:P.r-v.r,g:P.g-v.g,b:P.b-v.b,a:P.a-v.a}):g=m-v;f.attrs[y][this._id][p]={start:v,diff:g,end:m,trueEnd:x,trueStart:T},f.tweens[y][p]=this._id}_tweenFunc(p){var m=this.node,S=f.attrs[m._id][this._id],y,v,g,b,_,w,x,T;for(y in S){if(v=S[y],g=v.start,b=v.diff,T=v.end,t.Util._isArray(g))if(_=[],x=Math.max(g.length,T.length),y.indexOf("fill")===0)for(w=0;w<x;w++)w%2===0?_.push((g[w]||0)+b[w]*p):_.push("rgba("+Math.round(g[w].r+b[w].r*p)+","+Math.round(g[w].g+b[w].g*p)+","+Math.round(g[w].b+b[w].b*p)+","+(g[w].a+b[w].a*p)+")");else for(w=0;w<x;w++)_.push((g[w]||0)+b[w]*p);else c.indexOf(y)!==-1?_="rgba("+Math.round(g.r+b.r*p)+","+Math.round(g.g+b.g*p)+","+Math.round(g.b+b.b*p)+","+(g.a+b.a*p)+")":_=g+b*p;m.setAttr(y,_)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueEnd&&p.setAttr("points",m.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueStart&&p.points(m.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(p){return this.tween.seek(p*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var p=this.node._id,m=this._id,S=f.tweens[p],y;this.pause();for(y in S)delete f.tweens[p][y];delete f.attrs[p][m]}}e.Tween=f,f.attrs={},f.tweens={},r.Node.prototype.to=function(h){var p=h.onFinish;h.node=this,h.onFinish=function(){this.destroy(),p&&p()};var m=new f(h);m.play()},e.Easings={BackEaseIn(h,p,m,S){var y=1.70158;return m*(h/=S)*h*((y+1)*h-y)+p},BackEaseOut(h,p,m,S){var y=1.70158;return m*((h=h/S-1)*h*((y+1)*h+y)+1)+p},BackEaseInOut(h,p,m,S){var y=1.70158;return(h/=S/2)<1?m/2*(h*h*(((y*=1.525)+1)*h-y))+p:m/2*((h-=2)*h*(((y*=1.525)+1)*h+y)+2)+p},ElasticEaseIn(h,p,m,S,y,v){var g=0;return h===0?p:(h/=S)===1?p+m:(v||(v=S*.3),!y||y<Math.abs(m)?(y=m,g=v/4):g=v/(2*Math.PI)*Math.asin(m/y),-(y*Math.pow(2,10*(h-=1))*Math.sin((h*S-g)*(2*Math.PI)/v))+p)},ElasticEaseOut(h,p,m,S,y,v){var g=0;return h===0?p:(h/=S)===1?p+m:(v||(v=S*.3),!y||y<Math.abs(m)?(y=m,g=v/4):g=v/(2*Math.PI)*Math.asin(m/y),y*Math.pow(2,-10*h)*Math.sin((h*S-g)*(2*Math.PI)/v)+m+p)},ElasticEaseInOut(h,p,m,S,y,v){var g=0;return h===0?p:(h/=S/2)===2?p+m:(v||(v=S*(.3*1.5)),!y||y<Math.abs(m)?(y=m,g=v/4):g=v/(2*Math.PI)*Math.asin(m/y),h<1?-.5*(y*Math.pow(2,10*(h-=1))*Math.sin((h*S-g)*(2*Math.PI)/v))+p:y*Math.pow(2,-10*(h-=1))*Math.sin((h*S-g)*(2*Math.PI)/v)*.5+m+p)},BounceEaseOut(h,p,m,S){return(h/=S)<1/2.75?m*(7.5625*h*h)+p:h<2/2.75?m*(7.5625*(h-=1.5/2.75)*h+.75)+p:h<2.5/2.75?m*(7.5625*(h-=2.25/2.75)*h+.9375)+p:m*(7.5625*(h-=2.625/2.75)*h+.984375)+p},BounceEaseIn(h,p,m,S){return m-e.Easings.BounceEaseOut(S-h,0,m,S)+p},BounceEaseInOut(h,p,m,S){return h<S/2?e.Easings.BounceEaseIn(h*2,0,m,S)*.5+p:e.Easings.BounceEaseOut(h*2-S,0,m,S)*.5+m*.5+p},EaseIn(h,p,m,S){return m*(h/=S)*h+p},EaseOut(h,p,m,S){return-m*(h/=S)*(h-2)+p},EaseInOut(h,p,m,S){return(h/=S/2)<1?m/2*h*h+p:-m/2*(--h*(h-2)-1)+p},StrongEaseIn(h,p,m,S){return m*(h/=S)*h*h*h*h+p},StrongEaseOut(h,p,m,S){return m*((h=h/S-1)*h*h*h*h+1)+p},StrongEaseInOut(h,p,m,S){return(h/=S/2)<1?m/2*h*h*h*h*h+p:m/2*((h-=2)*h*h*h*h+2)+p},Linear(h,p,m,S){return m*h/S+p}}})(gN);(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Konva=void 0;const t=Pe,n=Ot,r=wt,i=gl,o=dN,s=kh,a=uv,l=Sc,u=av,c=on,d=_c,f=gN,h=Oo,p=_i;e.Konva=n.Util._assign(t.Konva,{Util:n.Util,Transform:n.Transform,Node:r.Node,Container:i.Container,Stage:o.Stage,stages:o.stages,Layer:s.Layer,FastLayer:a.FastLayer,Group:l.Group,DD:u.DD,Shape:c.Shape,shapes:c.shapes,Animation:d.Animation,Tween:f.Tween,Easings:f.Easings,Context:h.Context,Canvas:p.Canvas}),e.default=e.Konva})(aN);var cv={};Object.defineProperty(cv,"__esModule",{value:!0});cv.Arc=void 0;const dv=Te,_de=on,l6=Pe,fv=de,wde=Pe;class Yo extends _de.Shape{_sceneFunc(t){var n=l6.Konva.getAngle(this.angle()),r=this.clockwise();t.beginPath(),t.arc(0,0,this.outerRadius(),0,n,r),t.arc(0,0,this.innerRadius(),n,0,!r),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}getSelfRect(){const t=this.innerRadius(),n=this.outerRadius(),r=this.clockwise(),i=l6.Konva.getAngle(r?360-this.angle():this.angle()),o=Math.cos(Math.min(i,Math.PI)),s=1,a=Math.sin(Math.min(Math.max(Math.PI,i),3*Math.PI/2)),l=Math.sin(Math.min(i,Math.PI/2)),u=o*(o>0?t:n),c=s*n,d=a*(a>0?t:n),f=l*(l>0?n:t);return{x:u,y:r?-1*f:d,width:c-u,height:f-d}}}cv.Arc=Yo;Yo.prototype._centroid=!0;Yo.prototype.className="Arc";Yo.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,wde._registerNode)(Yo);dv.Factory.addGetterSetter(Yo,"innerRadius",0,(0,fv.getNumberValidator)());dv.Factory.addGetterSetter(Yo,"outerRadius",0,(0,fv.getNumberValidator)());dv.Factory.addGetterSetter(Yo,"angle",0,(0,fv.getNumberValidator)());dv.Factory.addGetterSetter(Yo,"clockwise",!1,(0,fv.getBooleanValidator)());var hv={},Rh={};Object.defineProperty(Rh,"__esModule",{value:!0});Rh.Line=void 0;const pv=Te,xde=on,mN=de,Cde=Pe;function b2(e,t,n,r,i,o,s){var a=Math.sqrt(Math.pow(n-e,2)+Math.pow(r-t,2)),l=Math.sqrt(Math.pow(i-n,2)+Math.pow(o-r,2)),u=s*a/(a+l),c=s*l/(a+l),d=n-u*(i-e),f=r-u*(o-t),h=n+c*(i-e),p=r+c*(o-t);return[d,f,h,p]}function u6(e,t){var n=e.length,r=[],i,o;for(i=2;i<n-2;i+=2)o=b2(e[i-2],e[i-1],e[i],e[i+1],e[i+2],e[i+3],t),!isNaN(o[0])&&(r.push(o[0]),r.push(o[1]),r.push(e[i]),r.push(e[i+1]),r.push(o[2]),r.push(o[3]));return r}class oa extends xde.Shape{constructor(t){super(t),this.on("pointsChange.konva tensionChange.konva closedChange.konva bezierChange.konva",function(){this._clearCache("tensionPoints")})}_sceneFunc(t){var n=this.points(),r=n.length,i=this.tension(),o=this.closed(),s=this.bezier(),a,l,u;if(r){if(t.beginPath(),t.moveTo(n[0],n[1]),i!==0&&r>4){for(a=this.getTensionPoints(),l=a.length,u=o?0:4,o||t.quadraticCurveTo(a[0],a[1],a[2],a[3]);u<l-2;)t.bezierCurveTo(a[u++],a[u++],a[u++],a[u++],a[u++],a[u++]);o||t.quadraticCurveTo(a[l-2],a[l-1],n[r-2],n[r-1])}else if(s)for(u=2;u<r;)t.bezierCurveTo(n[u++],n[u++],n[u++],n[u++],n[u++],n[u++]);else for(u=2;u<r;u+=2)t.lineTo(n[u],n[u+1]);o?(t.closePath(),t.fillStrokeShape(this)):t.strokeShape(this)}}getTensionPoints(){return this._getCache("tensionPoints",this._getTensionPoints)}_getTensionPoints(){return this.closed()?this._getTensionPointsClosed():u6(this.points(),this.tension())}_getTensionPointsClosed(){var t=this.points(),n=t.length,r=this.tension(),i=b2(t[n-2],t[n-1],t[0],t[1],t[2],t[3],r),o=b2(t[n-4],t[n-3],t[n-2],t[n-1],t[0],t[1],r),s=u6(t,r),a=[i[2],i[3]].concat(s).concat([o[0],o[1],t[n-2],t[n-1],o[2],o[3],i[0],i[1],t[0],t[1]]);return 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getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function c(S){return S*S*S}function d(S){return 3*S*S*(1-S)}function f(S){return 3*S*(1-S)*(1-S)}function h(S){return(1-S)*(1-S)*(1-S)}var p=l*c(t)+s*d(t)+i*f(t)+n*h(t),m=u*c(t)+a*d(t)+o*f(t)+r*h(t);return{x:p,y:m}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(h){return h*h}function u(h){return 2*h*(1-h)}function c(h){return(1-h)*(1-h)}var d=s*l(t)+i*u(t)+n*c(t),f=a*l(t)+o*u(t)+r*c(t);return{x:d,y:f}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,c=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,d;for(i=1;i<o.length;i++){var f=o[i],h=f.charAt(0);for(f=f.slice(1),a.length=0;d=c.exec(f);)a.push(d[0]);for(var p=[],m=0,S=a.length;m<S;m++){if(a[m]==="00"){p.push(0,0);continue}var y=parseFloat(a[m]);isNaN(y)?p.push(0):p.push(y)}for(;p.length>0&&!isNaN(p[0]);){var v=null,g=[],b=l,_=u,w,x,T,P,E,A,$,I,C,R;switch(h){case"l":l+=p.shift(),u+=p.shift(),v="L",g.push(l,u);break;case"L":l=p.shift(),u=p.shift(),g.push(l,u);break;case"m":var M=p.shift(),N=p.shift();if(l+=M,u+=N,v="M",s.length>2&&s[s.length-1].command==="z"){for(var O=s.length-2;O>=0;O--)if(s[O].command==="M"){l=s[O].points[0]+M,u=s[O].points[1]+N;break}}g.push(l,u),h="l";break;case"M":l=p.shift(),u=p.shift(),v="M",g.push(l,u),h="L";break;case"h":l+=p.shift(),v="L",g.push(l,u);break;case"H":l=p.shift(),v="L",g.push(l,u);break;case"v":u+=p.shift(),v="L",g.push(l,u);break;case"V":u=p.shift(),v="L",g.push(l,u);break;case"C":g.push(p.shift(),p.shift(),p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"c":g.push(l+p.shift(),u+p.shift(),l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),v="C",g.push(l,u);break;case"S":x=l,T=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),T=u+(u-w.points[3])),g.push(x,T,p.shift(),p.shift()),l=p.shift(),u=p.shift(),v="C",g.push(l,u);break;case"s":x=l,T=u,w=s[s.length-1],w.command==="C"&&(x=l+(l-w.points[2]),T=u+(u-w.points[3])),g.push(x,T,l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),v="C",g.push(l,u);break;case"Q":g.push(p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"q":g.push(l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),v="Q",g.push(l,u);break;case"T":x=l,T=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),T=u+(u-w.points[1])),l=p.shift(),u=p.shift(),v="Q",g.push(x,T,l,u);break;case"t":x=l,T=u,w=s[s.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),T=u+(u-w.points[1])),l+=p.shift(),u+=p.shift(),v="Q",g.push(x,T,l,u);break;case"A":P=p.shift(),E=p.shift(),A=p.shift(),$=p.shift(),I=p.shift(),C=l,R=u,l=p.shift(),u=p.shift(),v="A",g=this.convertEndpointToCenterParameterization(C,R,l,u,$,I,P,E,A);break;case"a":P=p.shift(),E=p.shift(),A=p.shift(),$=p.shift(),I=p.shift(),C=l,R=u,l+=p.shift(),u+=p.shift(),v="A",g=this.convertEndpointToCenterParameterization(C,R,l,u,$,I,P,E,A);break}s.push({command:v||h,points:g,start:{x:b,y:_},pathLength:this.calcLength(b,_,v||h,g)})}(h==="z"||h==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=Zt;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,Hl.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,Hl.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var c=i[4],d=i[5],f=i[4]+d,h=Math.PI/180;if(Math.abs(c-f)<h&&(h=Math.abs(c-f)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],c,0),d<0)for(l=c-h;l>f;l-=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=c+h;l<f;l+=h)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],f,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var c=u*(Math.PI/180),d=Math.cos(c)*(t-r)/2+Math.sin(c)*(n-i)/2,f=-1*Math.sin(c)*(t-r)/2+Math.cos(c)*(n-i)/2,h=d*d/(a*a)+f*f/(l*l);h>1&&(a*=Math.sqrt(h),l*=Math.sqrt(h));var p=Math.sqrt((a*a*(l*l)-a*a*(f*f)-l*l*(d*d))/(a*a*(f*f)+l*l*(d*d)));o===s&&(p*=-1),isNaN(p)&&(p=0);var m=p*a*f/l,S=p*-l*d/a,y=(t+r)/2+Math.cos(c)*m-Math.sin(c)*S,v=(n+i)/2+Math.sin(c)*m+Math.cos(c)*S,g=function(E){return Math.sqrt(E[0]*E[0]+E[1]*E[1])},b=function(E,A){return(E[0]*A[0]+E[1]*A[1])/(g(E)*g(A))},_=function(E,A){return(E[0]*A[1]<E[1]*A[0]?-1:1)*Math.acos(b(E,A))},w=_([1,0],[(d-m)/a,(f-S)/l]),x=[(d-m)/a,(f-S)/l],T=[(-1*d-m)/a,(-1*f-S)/l],P=_(x,T);return b(x,T)<=-1&&(P=Math.PI),b(x,T)>=1&&(P=0),s===0&&P>0&&(P=P-2*Math.PI),s===1&&P<0&&(P=P+2*Math.PI),[y,v,a,l,w,P,c,s]}}wc.Path=Zt;Zt.prototype.className="Path";Zt.prototype._attrsAffectingSize=["data"];(0,Pde._registerNode)(Zt);Tde.Factory.addGetterSetter(Zt,"data");Object.defineProperty(hv,"__esModule",{value:!0});hv.Arrow=void 0;const gv=Te,Ade=Rh,vN=de,kde=Pe,c6=wc;class yl extends Ade.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const f=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],h=c6.Path.calcLength(i[i.length-4],i[i.length-3],"C",f),p=c6.Path.getPointOnQuadraticBezier(Math.min(1,1-s/h),f[0],f[1],f[2],f[3],f[4],f[5]);l=r[a-2]-p.x,u=r[a-1]-p.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var c=(Math.atan2(u,l)+n)%n,d=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(c),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,d/2),t.lineTo(-s,-d/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}hv.Arrow=yl;yl.prototype.className="Arrow";(0,kde._registerNode)(yl);gv.Factory.addGetterSetter(yl,"pointerLength",10,(0,vN.getNumberValidator)());gv.Factory.addGetterSetter(yl,"pointerWidth",10,(0,vN.getNumberValidator)());gv.Factory.addGetterSetter(yl,"pointerAtBeginning",!1);gv.Factory.addGetterSetter(yl,"pointerAtEnding",!0);var mv={};Object.defineProperty(mv,"__esModule",{value:!0});mv.Circle=void 0;const Rde=Te,Ode=on,Mde=de,Ide=Pe;let xc=class extends Ode.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};mv.Circle=xc;xc.prototype._centroid=!0;xc.prototype.className="Circle";xc.prototype._attrsAffectingSize=["radius"];(0,Ide._registerNode)(xc);Rde.Factory.addGetterSetter(xc,"radius",0,(0,Mde.getNumberValidator)());var yv={};Object.defineProperty(yv,"__esModule",{value:!0});yv.Ellipse=void 0;const EC=Te,Nde=on,bN=de,Dde=Pe;class sa extends Nde.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}yv.Ellipse=sa;sa.prototype.className="Ellipse";sa.prototype._centroid=!0;sa.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,Dde._registerNode)(sa);EC.Factory.addComponentsGetterSetter(sa,"radius",["x","y"]);EC.Factory.addGetterSetter(sa,"radiusX",0,(0,bN.getNumberValidator)());EC.Factory.addGetterSetter(sa,"radiusY",0,(0,bN.getNumberValidator)());var vv={};Object.defineProperty(vv,"__esModule",{value:!0});vv.Image=void 0;const Xb=Ot,vl=Te,Lde=on,$de=Pe,Oh=de;let ao=class SN extends Lde.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?Xb.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?Xb.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=Xb.Util.createImageElement();i.onload=function(){var o=new SN({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};vv.Image=ao;ao.prototype.className="Image";(0,$de._registerNode)(ao);vl.Factory.addGetterSetter(ao,"cornerRadius",0,(0,Oh.getNumberOrArrayOfNumbersValidator)(4));vl.Factory.addGetterSetter(ao,"image");vl.Factory.addComponentsGetterSetter(ao,"crop",["x","y","width","height"]);vl.Factory.addGetterSetter(ao,"cropX",0,(0,Oh.getNumberValidator)());vl.Factory.addGetterSetter(ao,"cropY",0,(0,Oh.getNumberValidator)());vl.Factory.addGetterSetter(ao,"cropWidth",0,(0,Oh.getNumberValidator)());vl.Factory.addGetterSetter(ao,"cropHeight",0,(0,Oh.getNumberValidator)());var sc={};Object.defineProperty(sc,"__esModule",{value:!0});sc.Tag=sc.Label=void 0;const bv=Te,Fde=on,Bde=Sc,PC=de,_N=Pe;var wN=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],jde="Change.konva",Vde="none",S2="up",_2="right",w2="down",x2="left",zde=wN.length;class AC extends Bde.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<zde;r++)t.on(wN[r]+jde,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case S2:a=r/2,l=-1*u;break;case _2:a=r+s,l=i/2;break;case w2:a=r/2,l=i+u;break;case x2:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}sc.Label=AC;AC.prototype.className="Label";(0,_N._registerNode)(AC);class bl extends Fde.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,c=0,d=0;typeof a=="number"?l=u=c=d=Math.min(a,n/2,r/2):(l=Math.min(a[0]||0,n/2,r/2),u=Math.min(a[1]||0,n/2,r/2),d=Math.min(a[2]||0,n/2,r/2),c=Math.min(a[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===S2&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*s),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===_2&&(t.lineTo(n,(r-s)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+s)/2)),t.lineTo(n,r-d),t.arc(n-d,r-d,d,0,Math.PI/2,!1),i===w2&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+s),t.lineTo((n-o)/2,r)),t.lineTo(c,r),t.arc(c,r-c,c,Math.PI/2,Math.PI,!1),i===x2&&(t.lineTo(0,(r+s)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-s)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),s=this.width(),a=this.height();return o===S2?(n-=i,a+=i):o===w2?a+=i:o===x2?(t-=r*1.5,s+=r):o===_2&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}sc.Tag=bl;bl.prototype.className="Tag";(0,_N._registerNode)(bl);bv.Factory.addGetterSetter(bl,"pointerDirection",Vde);bv.Factory.addGetterSetter(bl,"pointerWidth",0,(0,PC.getNumberValidator)());bv.Factory.addGetterSetter(bl,"pointerHeight",0,(0,PC.getNumberValidator)());bv.Factory.addGetterSetter(bl,"cornerRadius",0,(0,PC.getNumberOrArrayOfNumbersValidator)(4));var Mh={};Object.defineProperty(Mh,"__esModule",{value:!0});Mh.Rect=void 0;const Ude=Te,Gde=on,Hde=Pe,qde=Ot,Wde=de;let Sv=class extends Gde.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?qde.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};Mh.Rect=Sv;Sv.prototype.className="Rect";(0,Hde._registerNode)(Sv);Ude.Factory.addGetterSetter(Sv,"cornerRadius",0,(0,Wde.getNumberOrArrayOfNumbersValidator)(4));var _v={};Object.defineProperty(_v,"__esModule",{value:!0});_v.RegularPolygon=void 0;const xN=Te,Kde=on,CN=de,Xde=Pe;class Sl extends Kde.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}_v.RegularPolygon=Sl;Sl.prototype.className="RegularPolygon";Sl.prototype._centroid=!0;Sl.prototype._attrsAffectingSize=["radius"];(0,Xde._registerNode)(Sl);xN.Factory.addGetterSetter(Sl,"radius",0,(0,CN.getNumberValidator)());xN.Factory.addGetterSetter(Sl,"sides",0,(0,CN.getNumberValidator)());var wv={};Object.defineProperty(wv,"__esModule",{value:!0});wv.Ring=void 0;const TN=Te,Yde=on,EN=de,Qde=Pe;var d6=Math.PI*2;class _l extends Yde.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,d6,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),d6,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}wv.Ring=_l;_l.prototype.className="Ring";_l.prototype._centroid=!0;_l.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,Qde._registerNode)(_l);TN.Factory.addGetterSetter(_l,"innerRadius",0,(0,EN.getNumberValidator)());TN.Factory.addGetterSetter(_l,"outerRadius",0,(0,EN.getNumberValidator)());var xv={};Object.defineProperty(xv,"__esModule",{value:!0});xv.Sprite=void 0;const wl=Te,Zde=on,Jde=_c,PN=de,efe=Pe;class lo extends Zde.Shape{constructor(t){super(t),this._updated=!0,this.anim=new Jde.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+0],l=o[i+1],u=o[i+2],c=o[i+3],d=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,c),t.closePath(),t.fillStrokeShape(this)),d)if(s){var f=s[n],h=r*2;t.drawImage(d,a,l,u,c,f[h+0],f[h+1],u,c)}else t.drawImage(d,a,l,u,c,0,0,u,c)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+2],l=o[i+3];if(t.beginPath(),s){var u=s[n],c=r*2;t.rect(u[c+0],u[c+1],a,l)}else t.rect(0,0,a,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}xv.Sprite=lo;lo.prototype.className="Sprite";(0,efe._registerNode)(lo);wl.Factory.addGetterSetter(lo,"animation");wl.Factory.addGetterSetter(lo,"animations");wl.Factory.addGetterSetter(lo,"frameOffsets");wl.Factory.addGetterSetter(lo,"image");wl.Factory.addGetterSetter(lo,"frameIndex",0,(0,PN.getNumberValidator)());wl.Factory.addGetterSetter(lo,"frameRate",17,(0,PN.getNumberValidator)());wl.Factory.backCompat(lo,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var Cv={};Object.defineProperty(Cv,"__esModule",{value:!0});Cv.Star=void 0;const kC=Te,tfe=on,RC=de,nfe=Pe;class aa extends tfe.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}Cv.Star=aa;aa.prototype.className="Star";aa.prototype._centroid=!0;aa.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,nfe._registerNode)(aa);kC.Factory.addGetterSetter(aa,"numPoints",5,(0,RC.getNumberValidator)());kC.Factory.addGetterSetter(aa,"innerRadius",0,(0,RC.getNumberValidator)());kC.Factory.addGetterSetter(aa,"outerRadius",0,(0,RC.getNumberValidator)());var sl={};Object.defineProperty(sl,"__esModule",{value:!0});sl.Text=sl.stringToArray=void 0;const C2=Ot,ir=Te,rfe=on,la=de,ife=Pe;function AN(e){return Array.from(e)}sl.stringToArray=AN;var ql="auto",ofe="center",Jc="justify",sfe="Change.konva",afe="2d",f6="-",kN="left",lfe="text",ufe="Text",cfe="top",dfe="bottom",h6="middle",RN="normal",ffe="px ",$p=" ",hfe="right",pfe="word",gfe="char",p6="none",Yb="…",ON=["fontFamily","fontSize","fontStyle","fontVariant","padding","align","verticalAlign","lineHeight","text","width","height","wrap","ellipsis","letterSpacing"],mfe=ON.length;function yfe(e){return e.split(",").map(t=>{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var Fp;function Qb(){return Fp||(Fp=C2.Util.createCanvasElement().getContext(afe),Fp)}function vfe(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function bfe(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function Sfe(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}class zt extends rfe.Shape{constructor(t){super(Sfe(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n<mfe;n++)this.on(ON[n]+sfe,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),c=this.getWidth(),d=this.letterSpacing(),f=this.fill(),h=this.textDecoration(),p=h.indexOf("underline")!==-1,m=h.indexOf("line-through")!==-1,S,y=0,y=s/2,v=0,g=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",h6),t.setAttr("textAlign",kN),a===h6?l=(this.getHeight()-r*s-i*2)/2:a===dfe&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),S=0;S<r;S++){var v=0,g=0,b=n[S],_=b.text,w=b.width,x=b.lastInParagraph,T,P,E;if(t.save(),u===hfe?v+=c-w-i*2:u===ofe&&(v+=(c-w-i*2)/2),p){t.save(),t.beginPath(),t.moveTo(v,y+g+Math.round(o/2)),T=_.split(" ").length-1,P=T===0,E=u===Jc&&!x?c-i*2:w,t.lineTo(v+Math.round(E),y+g+Math.round(o/2)),t.lineWidth=o/15;const M=this._getLinearGradient();t.strokeStyle=M||f,t.stroke(),t.restore()}if(m){t.save(),t.beginPath(),t.moveTo(v,y+g),T=_.split(" ").length-1,P=T===0,E=u===Jc&&x&&!P?c-i*2:w,t.lineTo(v+Math.round(E),y+g),t.lineWidth=o/15;const M=this._getLinearGradient();t.strokeStyle=M||f,t.stroke(),t.restore()}if(d!==0||u===Jc){T=_.split(" ").length-1;for(var A=AN(_),$=0;$<A.length;$++){var I=A[$];I===" "&&!x&&u===Jc&&(v+=(c-i*2-w)/T),this._partialTextX=v,this._partialTextY=y+g,this._partialText=I,t.fillStrokeShape(this),v+=this.measureSize(I).width+d}}else this._partialTextX=v,this._partialTextY=y+g,this._partialText=_,t.fillStrokeShape(this);t.restore(),r>1&&(y+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=C2.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(lfe,n),this}getWidth(){var t=this.attrs.width===ql||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===ql||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return C2.Util.warn("text.getTextHeight() method is deprecated. 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Zb.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}Tv.TextPath=sn;sn.prototype._fillFunc=NN;sn.prototype._strokeFunc=DN;sn.prototype._fillFuncHit=NN;sn.prototype._strokeFuncHit=DN;sn.prototype.className="TextPath";sn.prototype._attrsAffectingSize=["text","fontSize","data"];(0,wfe._registerNode)(sn);Ai.Factory.addGetterSetter(sn,"data");Ai.Factory.addGetterSetter(sn,"fontFamily","Arial");Ai.Factory.addGetterSetter(sn,"fontSize",12,(0,MN.getNumberValidator)());Ai.Factory.addGetterSetter(sn,"fontStyle",IN);Ai.Factory.addGetterSetter(sn,"align","left");Ai.Factory.addGetterSetter(sn,"letterSpacing",0,(0,MN.getNumberValidator)());Ai.Factory.addGetterSetter(sn,"textBaseline","middle");Ai.Factory.addGetterSetter(sn,"fontVariant",IN);Ai.Factory.addGetterSetter(sn,"text",xfe);Ai.Factory.addGetterSetter(sn,"textDecoration",null);Ai.Factory.addGetterSetter(sn,"kerningFunc",null);var Ev={};Object.defineProperty(Ev,"__esModule",{value:!0});Ev.Transformer=void 0;const Je=Ot,Ze=Te,g6=wt,Cfe=on,Tfe=Mh,m6=Sc,si=Pe,ua=de,Efe=Pe;var LN="tr-konva",Pfe=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${LN}`).join(" "),y6="nodesRect",Afe=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],kfe={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const Rfe="ontouchstart"in si.Konva._global;function Ofe(e,t){if(e==="rotater")return"crosshair";t+=Je.Util.degToRad(kfe[e]||0);var n=(Je.Util.radToDeg(t)%360+360)%360;return Je.Util._inRange(n,315+22.5,360)||Je.Util._inRange(n,0,22.5)?"ns-resize":Je.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":Je.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":Je.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":Je.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":Je.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":Je.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":Je.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(Je.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var Zm=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],v6=1e8;function Mfe(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function $N(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function Ife(e,t){const n=Mfe(e);return $N(e,t,n)}function Nfe(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=si.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class ze extends m6.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(Pfe,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return Je.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return LN+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(Je.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(Afe.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(y6),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(y6,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=(si.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),c={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return $N(c,-si.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-v6,y:-v6,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const c=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var d=[{x:c.x,y:c.y},{x:c.x+c.width,y:c.y},{x:c.x+c.width,y:c.y+c.height},{x:c.x,y:c.y+c.height}],f=u.getAbsoluteTransform();d.forEach(function(h){var p=f.point(h);n.push(p)})});const r=new Je.Transform;r.rotate(-si.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var c=r.point(u);i===void 0&&(i=s=c.x,o=a=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),s=Math.max(s,c.x),a=Math.max(a,c.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:si.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),Zm.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new Tfe.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:Rfe?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=si.Konva.getAngle(this.rotation()),o=Ofe(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new Cfe.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*Je.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const c=o.getAbsolutePosition();if(!(u.x===c.x&&u.y===c.y)){if(this._movingAnchorName==="rotater"){var d=this._getNodeRect();n=o.x()-d.width/2,r=-o.y()+d.height/2;let I=Math.atan2(-r,n)+Math.PI/2;d.height<0&&(I-=Math.PI);var f=si.Konva.getAngle(this.rotation());const C=f+I,R=si.Konva.getAngle(this.rotationSnapTolerance()),N=Nfe(this.rotationSnaps(),C,R)-d.rotation,O=Ife(d,N);this._fitNodesInto(O,t);return}var h=this.shiftBehavior(),p;h==="inverted"?p=this.keepRatio()&&!t.shiftKey:h==="none"?p=this.keepRatio():p=this.keepRatio()||t.shiftKey;var g=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(m.y-o.y(),2));var S=this.findOne(".top-left").x()>m.x?-1:1,y=this.findOne(".top-left").y()>m.y?-1:1;n=i*this.cos*S,r=i*this.sin*y,this.findOne(".top-left").x(m.x-n),this.findOne(".top-left").y(m.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(m.y-o.y(),2));var S=this.findOne(".top-right").x()<m.x?-1:1,y=this.findOne(".top-right").y()>m.y?-1:1;n=i*this.cos*S,r=i*this.sin*y,this.findOne(".top-right").x(m.x+n),this.findOne(".top-right").y(m.y-r)}var v=o.position();this.findOne(".top-left").y(v.y),this.findOne(".bottom-right").x(v.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(o.y()-m.y,2));var S=m.x<o.x()?-1:1,y=o.y()<m.y?-1:1;n=i*this.cos*S,r=i*this.sin*y,o.x(m.x-n),o.y(m.y+r)}v=o.position(),this.findOne(".top-left").x(v.x),this.findOne(".bottom-right").y(v.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(o.y()-m.y,2));var S=this.findOne(".bottom-right").x()<m.x?-1:1,y=this.findOne(".bottom-right").y()<m.y?-1:1;n=i*this.cos*S,r=i*this.sin*y,this.findOne(".bottom-right").x(m.x+n),this.findOne(".bottom-right").y(m.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var g=this.centeredScaling()||t.altKey;if(g){var b=this.findOne(".top-left"),_=this.findOne(".bottom-right"),w=b.x(),x=b.y(),T=this.getWidth()-_.x(),P=this.getHeight()-_.y();_.move({x:-w,y:-x}),b.move({x:T,y:P})}var E=this.findOne(".top-left").getAbsolutePosition();n=E.x,r=E.y;var A=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),$=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:A,height:$,rotation:si.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(Je.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(Je.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new Je.Transform;if(s.rotate(si.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const d=s.point({x:-this.padding()*2,y:0});if(t.x+=d.x,t.y+=d.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const d=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const d=s.point({x:0,y:-this.padding()*2});if(t.x+=d.x,t.y+=d.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const d=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const d=this.boundBoxFunc()(r,t);d?t=d:Je.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new Je.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new Je.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const c=u.multiply(l.invert());this._nodes.forEach(d=>{var f;const h=d.getParent().getAbsoluteTransform(),p=d.getTransform().copy();p.translate(d.offsetX(),d.offsetY());const m=new Je.Transform;m.multiply(h.copy().invert()).multiply(c).multiply(h).multiply(p);const S=m.decompose();d.setAttrs(S),this._fire("transform",{evt:n,target:d}),d._fire("transform",{evt:n,target:d}),(f=d.getLayer())===null||f===void 0||f.batchDraw()}),this.rotation(Je.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(Je.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(d=>{d.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*Je.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const c=this.anchorStyleFunc();c&&u.forEach(d=>{c(d)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),m6.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return g6.Node.prototype.toObject.call(this)}clone(t){var n=g6.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}Ev.Transformer=ze;function Dfe(e){return e instanceof Array||Je.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){Zm.indexOf(t)===-1&&Je.Util.warn("Unknown anchor name: "+t+". Available names are: "+Zm.join(", "))}),e||[]}ze.prototype.className="Transformer";(0,Efe._registerNode)(ze);Ze.Factory.addGetterSetter(ze,"enabledAnchors",Zm,Dfe);Ze.Factory.addGetterSetter(ze,"flipEnabled",!0,(0,ua.getBooleanValidator)());Ze.Factory.addGetterSetter(ze,"resizeEnabled",!0);Ze.Factory.addGetterSetter(ze,"anchorSize",10,(0,ua.getNumberValidator)());Ze.Factory.addGetterSetter(ze,"rotateEnabled",!0);Ze.Factory.addGetterSetter(ze,"rotationSnaps",[]);Ze.Factory.addGetterSetter(ze,"rotateAnchorOffset",50,(0,ua.getNumberValidator)());Ze.Factory.addGetterSetter(ze,"rotationSnapTolerance",5,(0,ua.getNumberValidator)());Ze.Factory.addGetterSetter(ze,"borderEnabled",!0);Ze.Factory.addGetterSetter(ze,"anchorStroke","rgb(0, 161, 255)");Ze.Factory.addGetterSetter(ze,"anchorStrokeWidth",1,(0,ua.getNumberValidator)());Ze.Factory.addGetterSetter(ze,"anchorFill","white");Ze.Factory.addGetterSetter(ze,"anchorCornerRadius",0,(0,ua.getNumberValidator)());Ze.Factory.addGetterSetter(ze,"borderStroke","rgb(0, 161, 255)");Ze.Factory.addGetterSetter(ze,"borderStrokeWidth",1,(0,ua.getNumberValidator)());Ze.Factory.addGetterSetter(ze,"borderDash");Ze.Factory.addGetterSetter(ze,"keepRatio",!0);Ze.Factory.addGetterSetter(ze,"shiftBehavior","default");Ze.Factory.addGetterSetter(ze,"centeredScaling",!1);Ze.Factory.addGetterSetter(ze,"ignoreStroke",!1);Ze.Factory.addGetterSetter(ze,"padding",0,(0,ua.getNumberValidator)());Ze.Factory.addGetterSetter(ze,"node");Ze.Factory.addGetterSetter(ze,"nodes");Ze.Factory.addGetterSetter(ze,"boundBoxFunc");Ze.Factory.addGetterSetter(ze,"anchorDragBoundFunc");Ze.Factory.addGetterSetter(ze,"anchorStyleFunc");Ze.Factory.addGetterSetter(ze,"shouldOverdrawWholeArea",!1);Ze.Factory.addGetterSetter(ze,"useSingleNodeRotation",!0);Ze.Factory.backCompat(ze,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var Pv={};Object.defineProperty(Pv,"__esModule",{value:!0});Pv.Wedge=void 0;const Av=Te,Lfe=on,$fe=Pe,FN=de,Ffe=Pe;class Qo extends Lfe.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,$fe.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}Pv.Wedge=Qo;Qo.prototype.className="Wedge";Qo.prototype._centroid=!0;Qo.prototype._attrsAffectingSize=["radius"];(0,Ffe._registerNode)(Qo);Av.Factory.addGetterSetter(Qo,"radius",0,(0,FN.getNumberValidator)());Av.Factory.addGetterSetter(Qo,"angle",0,(0,FN.getNumberValidator)());Av.Factory.addGetterSetter(Qo,"clockwise",!1);Av.Factory.backCompat(Qo,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var kv={};Object.defineProperty(kv,"__esModule",{value:!0});kv.Blur=void 0;const b6=Te,Bfe=wt,jfe=de;function S6(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var Vfe=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],zfe=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function Ufe(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,c,d,f,h,p,m,S,y,v,g,b,_,w,x,T,P,E,A,$,I=t+t+1,C=r-1,R=i-1,M=t+1,N=M*(M+1)/2,O=new S6,D=null,L=O,j=null,U=null,G=Vfe[t],W=zfe[t];for(a=1;a<I;a++)L=L.next=new S6,a===M&&(D=L);for(L.next=O,d=c=0,s=0;s<i;s++){for(b=_=w=x=f=h=p=m=0,S=M*(T=n[c]),y=M*(P=n[c+1]),v=M*(E=n[c+2]),g=M*(A=n[c+3]),f+=N*T,h+=N*P,p+=N*E,m+=N*A,L=O,a=0;a<M;a++)L.r=T,L.g=P,L.b=E,L.a=A,L=L.next;for(a=1;a<M;a++)l=c+((C<a?C:a)<<2),f+=(L.r=T=n[l])*($=M-a),h+=(L.g=P=n[l+1])*$,p+=(L.b=E=n[l+2])*$,m+=(L.a=A=n[l+3])*$,b+=T,_+=P,w+=E,x+=A,L=L.next;for(j=O,U=D,o=0;o<r;o++)n[c+3]=A=m*G>>W,A!==0?(A=255/A,n[c]=(f*G>>W)*A,n[c+1]=(h*G>>W)*A,n[c+2]=(p*G>>W)*A):n[c]=n[c+1]=n[c+2]=0,f-=S,h-=y,p-=v,m-=g,S-=j.r,y-=j.g,v-=j.b,g-=j.a,l=d+((l=o+t+1)<C?l:C)<<2,b+=j.r=n[l],_+=j.g=n[l+1],w+=j.b=n[l+2],x+=j.a=n[l+3],f+=b,h+=_,p+=w,m+=x,j=j.next,S+=T=U.r,y+=P=U.g,v+=E=U.b,g+=A=U.a,b-=T,_-=P,w-=E,x-=A,U=U.next,c+=4;d+=r}for(o=0;o<r;o++){for(_=w=x=b=h=p=m=f=0,c=o<<2,S=M*(T=n[c]),y=M*(P=n[c+1]),v=M*(E=n[c+2]),g=M*(A=n[c+3]),f+=N*T,h+=N*P,p+=N*E,m+=N*A,L=O,a=0;a<M;a++)L.r=T,L.g=P,L.b=E,L.a=A,L=L.next;for(u=r,a=1;a<=t;a++)c=u+o<<2,f+=(L.r=T=n[c])*($=M-a),h+=(L.g=P=n[c+1])*$,p+=(L.b=E=n[c+2])*$,m+=(L.a=A=n[c+3])*$,b+=T,_+=P,w+=E,x+=A,L=L.next,a<R&&(u+=r);for(c=o,j=O,U=D,s=0;s<i;s++)l=c<<2,n[l+3]=A=m*G>>W,A>0?(A=255/A,n[l]=(f*G>>W)*A,n[l+1]=(h*G>>W)*A,n[l+2]=(p*G>>W)*A):n[l]=n[l+1]=n[l+2]=0,f-=S,h-=y,p-=v,m-=g,S-=j.r,y-=j.g,v-=j.b,g-=j.a,l=o+((l=s+M)<R?l:R)*r<<2,f+=b+=j.r=n[l],h+=_+=j.g=n[l+1],p+=w+=j.b=n[l+2],m+=x+=j.a=n[l+3],j=j.next,S+=T=U.r,y+=P=U.g,v+=E=U.b,g+=A=U.a,b-=T,_-=P,w-=E,x-=A,U=U.next,c+=r}}const Gfe=function(t){var n=Math.round(this.blurRadius());n>0&&Ufe(t,n)};kv.Blur=Gfe;b6.Factory.addGetterSetter(Bfe.Node,"blurRadius",0,(0,jfe.getNumberValidator)(),b6.Factory.afterSetFilter);var Rv={};Object.defineProperty(Rv,"__esModule",{value:!0});Rv.Brighten=void 0;const _6=Te,Hfe=wt,qfe=de,Wfe=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};Rv.Brighten=Wfe;_6.Factory.addGetterSetter(Hfe.Node,"brightness",0,(0,qfe.getNumberValidator)(),_6.Factory.afterSetFilter);var Ov={};Object.defineProperty(Ov,"__esModule",{value:!0});Ov.Contrast=void 0;const w6=Te,Kfe=wt,Xfe=de,Yfe=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};Ov.Contrast=Yfe;w6.Factory.addGetterSetter(Kfe.Node,"contrast",0,(0,Xfe.getNumberValidator)(),w6.Factory.afterSetFilter);var Mv={};Object.defineProperty(Mv,"__esModule",{value:!0});Mv.Emboss=void 0;const Ws=Te,Iv=wt,Qfe=Ot,BN=de,Zfe=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,c=l*4,d=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:Qfe.Util.error("Unknown emboss direction: "+r)}do{var f=(d-1)*c,h=o;d+h<1&&(h=0),d+h>u&&(h=0);var p=(d-1+h)*l*4,m=l;do{var S=f+(m-1)*4,y=s;m+y<1&&(y=0),m+y>l&&(y=0);var v=p+(m-1+y)*4,g=a[S]-a[v],b=a[S+1]-a[v+1],_=a[S+2]-a[v+2],w=g,x=w>0?w:-w,T=b>0?b:-b,P=_>0?_:-_;if(T>x&&(w=b),P>x&&(w=_),w*=t,i){var E=a[S]+w,A=a[S+1]+w,$=a[S+2]+w;a[S]=E>255?255:E<0?0:E,a[S+1]=A>255?255:A<0?0:A,a[S+2]=$>255?255:$<0?0:$}else{var I=n-w;I<0?I=0:I>255&&(I=255),a[S]=a[S+1]=a[S+2]=I}}while(--m)}while(--d)};Mv.Emboss=Zfe;Ws.Factory.addGetterSetter(Iv.Node,"embossStrength",.5,(0,BN.getNumberValidator)(),Ws.Factory.afterSetFilter);Ws.Factory.addGetterSetter(Iv.Node,"embossWhiteLevel",.5,(0,BN.getNumberValidator)(),Ws.Factory.afterSetFilter);Ws.Factory.addGetterSetter(Iv.Node,"embossDirection","top-left",null,Ws.Factory.afterSetFilter);Ws.Factory.addGetterSetter(Iv.Node,"embossBlend",!1,null,Ws.Factory.afterSetFilter);var Nv={};Object.defineProperty(Nv,"__esModule",{value:!0});Nv.Enhance=void 0;const x6=Te,Jfe=wt,ehe=de;function eS(e,t,n,r,i){var o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const the=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],c=u,d,f,h=this.enhance();if(h!==0){for(f=0;f<n;f+=4)o=t[f+0],o<r?r=o:o>i&&(i=o),l=t[f+1],l<s?s=l:l>a&&(a=l),d=t[f+2],d<u?u=d:d>c&&(c=d);i===r&&(i=255,r=0),a===s&&(a=255,s=0),c===u&&(c=255,u=0);var p,m,S,y,v,g,b,_,w;for(h>0?(m=i+h*(255-i),S=r-h*(r-0),v=a+h*(255-a),g=s-h*(s-0),_=c+h*(255-c),w=u-h*(u-0)):(p=(i+r)*.5,m=i+h*(i-p),S=r+h*(r-p),y=(a+s)*.5,v=a+h*(a-y),g=s+h*(s-y),b=(c+u)*.5,_=c+h*(c-b),w=u+h*(u-b)),f=0;f<n;f+=4)t[f+0]=eS(t[f+0],r,i,S,m),t[f+1]=eS(t[f+1],s,a,g,v),t[f+2]=eS(t[f+2],u,c,w,_)}};Nv.Enhance=the;x6.Factory.addGetterSetter(Jfe.Node,"enhance",0,(0,ehe.getNumberValidator)(),x6.Factory.afterSetFilter);var Dv={};Object.defineProperty(Dv,"__esModule",{value:!0});Dv.Grayscale=void 0;const nhe=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};Dv.Grayscale=nhe;var Lv={};Object.defineProperty(Lv,"__esModule",{value:!0});Lv.HSL=void 0;const ac=Te,OC=wt,MC=de;ac.Factory.addGetterSetter(OC.Node,"hue",0,(0,MC.getNumberValidator)(),ac.Factory.afterSetFilter);ac.Factory.addGetterSetter(OC.Node,"saturation",0,(0,MC.getNumberValidator)(),ac.Factory.afterSetFilter);ac.Factory.addGetterSetter(OC.Node,"luminance",0,(0,MC.getNumberValidator)(),ac.Factory.afterSetFilter);const rhe=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s=this.luminance()*127,a,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),c=.299*r+.701*l+.167*u,d=.587*r-.587*l+.33*u,f=.114*r-.114*l-.497*u,h=.299*r-.299*l-.328*u,p=.587*r+.413*l+.035*u,m=.114*r-.114*l+.293*u,S=.299*r-.3*l+1.25*u,y=.587*r-.586*l-1.05*u,v=.114*r+.886*l-.2*u,g,b,_,w;for(a=0;a<n;a+=4)g=t[a+0],b=t[a+1],_=t[a+2],w=t[a+3],t[a+0]=c*g+d*b+f*_+s,t[a+1]=h*g+p*b+m*_+s,t[a+2]=S*g+y*b+v*_+s,t[a+3]=w};Lv.HSL=rhe;var $v={};Object.defineProperty($v,"__esModule",{value:!0});$v.HSV=void 0;const lc=Te,IC=wt,NC=de,ihe=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,c=.587*r-.587*a+.33*l,d=.114*r-.114*a-.497*l,f=.299*r-.299*a-.328*l,h=.587*r+.413*a+.035*l,p=.114*r-.114*a+.293*l,m=.299*r-.3*a+1.25*l,S=.587*r-.586*a-1.05*l,y=.114*r+.886*a-.2*l,v,g,b,_;for(s=0;s<n;s+=4)v=t[s+0],g=t[s+1],b=t[s+2],_=t[s+3],t[s+0]=u*v+c*g+d*b,t[s+1]=f*v+h*g+p*b,t[s+2]=m*v+S*g+y*b,t[s+3]=_};$v.HSV=ihe;lc.Factory.addGetterSetter(IC.Node,"hue",0,(0,NC.getNumberValidator)(),lc.Factory.afterSetFilter);lc.Factory.addGetterSetter(IC.Node,"saturation",0,(0,NC.getNumberValidator)(),lc.Factory.afterSetFilter);lc.Factory.addGetterSetter(IC.Node,"value",0,(0,NC.getNumberValidator)(),lc.Factory.afterSetFilter);var Fv={};Object.defineProperty(Fv,"__esModule",{value:!0});Fv.Invert=void 0;const ohe=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};Fv.Invert=ohe;var Bv={};Object.defineProperty(Bv,"__esModule",{value:!0});Bv.Kaleidoscope=void 0;const Jm=Te,jN=wt,C6=Ot,VN=de;var she=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f=0,h=0,p=0,m=0,S,y=Math.sqrt(a*a+l*l);c=o-a,d=s-l,S=Math.sqrt(c*c+d*d),y=S>y?S:y;var v=s,g=o,b,_,w=360/g*Math.PI/180,x,T;for(_=0;_<g;_+=1)for(x=Math.sin(_*w),T=Math.cos(_*w),b=0;b<v;b+=1)c=Math.floor(a+y*b/v*T),d=Math.floor(l+y*b/v*x),u=(d*o+c)*4,f=r[u+0],h=r[u+1],p=r[u+2],m=r[u+3],u=(_+b*o)*4,i[u+0]=f,i[u+1]=h,i[u+2]=p,i[u+3]=m},ahe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,c,d,f,h,p=0,m=0,S=0,y=0,v,g=Math.sqrt(a*a+l*l);c=o-a,d=s-l,v=Math.sqrt(c*c+d*d),g=v>g?v:g;var b=s,_=o,w,x,T=n.polarRotation||0,P,E;for(c=0;c<o;c+=1)for(d=0;d<s;d+=1)f=c-a,h=d-l,w=Math.sqrt(f*f+h*h)*b/g,x=(Math.atan2(h,f)*180/Math.PI+360+T)%360,x=x*_/360,P=Math.floor(x),E=Math.floor(w),u=(E*o+P)*4,p=r[u+0],m=r[u+1],S=r[u+2],y=r[u+3],u=(d*o+c)*4,i[u+0]=p,i[u+1]=m,i[u+2]=S,i[u+3]=y};const lhe=function(e){var t=e.width,n=e.height,r,i,o,s,a,l,u,c,d,f,h=Math.round(this.kaleidoscopePower()),p=Math.round(this.kaleidoscopeAngle()),m=Math.floor(t*(p%360)/360);if(!(h<1)){var S=C6.Util.createCanvasElement();S.width=t,S.height=n;var y=S.getContext("2d").getImageData(0,0,t,n);C6.Util.releaseCanvas(S),she(e,y,{polarCenterX:t/2,polarCenterY:n/2});for(var v=t/Math.pow(2,h);v<=8;)v=v*2,h-=1;v=Math.ceil(v);var g=v,b=0,_=g,w=1;for(m+v>t&&(b=g,_=0,w=-1),i=0;i<n;i+=1)for(r=b;r!==_;r+=w)o=Math.round(r+m)%t,d=(t*i+o)*4,a=y.data[d+0],l=y.data[d+1],u=y.data[d+2],c=y.data[d+3],f=(t*i+r)*4,y.data[f+0]=a,y.data[f+1]=l,y.data[f+2]=u,y.data[f+3]=c;for(i=0;i<n;i+=1)for(g=Math.floor(v),s=0;s<h;s+=1){for(r=0;r<g+1;r+=1)d=(t*i+r)*4,a=y.data[d+0],l=y.data[d+1],u=y.data[d+2],c=y.data[d+3],f=(t*i+g*2-r-1)*4,y.data[f+0]=a,y.data[f+1]=l,y.data[f+2]=u,y.data[f+3]=c;g*=2}ahe(y,e,{polarRotation:0})}};Bv.Kaleidoscope=lhe;Jm.Factory.addGetterSetter(jN.Node,"kaleidoscopePower",2,(0,VN.getNumberValidator)(),Jm.Factory.afterSetFilter);Jm.Factory.addGetterSetter(jN.Node,"kaleidoscopeAngle",0,(0,VN.getNumberValidator)(),Jm.Factory.afterSetFilter);var jv={};Object.defineProperty(jv,"__esModule",{value:!0});jv.Mask=void 0;const T6=Te,uhe=wt,che=de;function Bp(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function td(e,t){return Math.sqrt(Math.pow(e[0]-t[0],2)+Math.pow(e[1]-t[1],2)+Math.pow(e[2]-t[2],2))}function dhe(e){for(var t=[0,0,0],n=0;n<e.length;n++)t[0]+=e[n][0],t[1]+=e[n][1],t[2]+=e[n][2];return t[0]/=e.length,t[1]/=e.length,t[2]/=e.length,t}function fhe(e,t){var n=Bp(e,0,0),r=Bp(e,e.width-1,0),i=Bp(e,0,e.height-1),o=Bp(e,e.width-1,e.height-1),s=t||10;if(td(n,r)<s&&td(r,o)<s&&td(o,i)<s&&td(i,n)<s){for(var a=dhe([r,n,o,i]),l=[],u=0;u<e.width*e.height;u++){var c=td(a,[e.data[u*4],e.data[u*4+1],e.data[u*4+2]]);l[u]=c<s?0:255}return l}}function hhe(e,t){for(var n=0;n<e.width*e.height;n++)e.data[4*n+3]=t[n]}function phe(e,t,n){for(var r=[1,1,1,1,0,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,S=r[d*i+f];c+=e[m]*S}}s[u]=c===255*8?255:0}return s}function ghe(e,t,n){for(var r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,S=r[d*i+f];c+=e[m]*S}}s[u]=c>=255*4?255:0}return s}function mhe(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=a+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,S=r[d*i+f];c+=e[m]*S}}s[u]=c}return s}const yhe=function(e){var t=this.threshold(),n=fhe(e,t);return n&&(n=phe(n,e.width,e.height),n=ghe(n,e.width,e.height),n=mhe(n,e.width,e.height),hhe(e,n)),e};jv.Mask=yhe;T6.Factory.addGetterSetter(uhe.Node,"threshold",0,(0,che.getNumberValidator)(),T6.Factory.afterSetFilter);var Vv={};Object.defineProperty(Vv,"__esModule",{value:!0});Vv.Noise=void 0;const E6=Te,vhe=wt,bhe=de,She=function(e){var t=this.noise()*255,n=e.data,r=n.length,i=t/2,o;for(o=0;o<r;o+=4)n[o+0]+=i-2*i*Math.random(),n[o+1]+=i-2*i*Math.random(),n[o+2]+=i-2*i*Math.random()};Vv.Noise=She;E6.Factory.addGetterSetter(vhe.Node,"noise",.2,(0,bhe.getNumberValidator)(),E6.Factory.afterSetFilter);var zv={};Object.defineProperty(zv,"__esModule",{value:!0});zv.Pixelate=void 0;const P6=Te,_he=Ot,whe=wt,xhe=de,Che=function(e){var t=Math.ceil(this.pixelSize()),n=e.width,r=e.height,i,o,s,a,l,u,c,d=Math.ceil(n/t),f=Math.ceil(r/t),h,p,m,S,y,v,g,b=e.data;if(t<=0){_he.Util.error("pixelSize value can not be <= 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t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s,a;for(s=0;s<n;s+=4)a=(.34*t[s]+.5*t[s+1]+.16*t[s+2])/255,t[s]=a*r,t[s+1]=a*i,t[s+2]=a*o,t[s+3]=t[s+3]};Gv.RGB=khe;ey.Factory.addGetterSetter(DC.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});ey.Factory.addGetterSetter(DC.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});ey.Factory.addGetterSetter(DC.Node,"blue",0,Ahe.RGBComponent,ey.Factory.afterSetFilter);var Hv={};Object.defineProperty(Hv,"__esModule",{value:!0});Hv.RGBA=void 0;const Bf=Te,qv=wt,Rhe=de,Ohe=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a<n;a+=4)l=1-s,t[a]=r*s+t[a]*l,t[a+1]=i*s+t[a+1]*l,t[a+2]=o*s+t[a+2]*l};Hv.RGBA=Ohe;Bf.Factory.addGetterSetter(qv.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Bf.Factory.addGetterSetter(qv.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Bf.Factory.addGetterSetter(qv.Node,"blue",0,Rhe.RGBComponent,Bf.Factory.afterSetFilter);Bf.Factory.addGetterSetter(qv.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var Wv={};Object.defineProperty(Wv,"__esModule",{value:!0});Wv.Sepia=void 0;const Mhe=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r<n;r+=4)i=t[r+0],o=t[r+1],s=t[r+2],t[r+0]=Math.min(255,i*.393+o*.769+s*.189),t[r+1]=Math.min(255,i*.349+o*.686+s*.168),t[r+2]=Math.min(255,i*.272+o*.534+s*.131)};Wv.Sepia=Mhe;var Kv={};Object.defineProperty(Kv,"__esModule",{value:!0});Kv.Solarize=void 0;const Ihe=function(e){var t=e.data,n=e.width,r=e.height,i=n*4,o=r;do{var s=(o-1)*i,a=n;do{var l=s+(a-1)*4,u=t[l],c=t[l+1],d=t[l+2];u>127&&(u=255-u),c>127&&(c=255-c),d>127&&(d=255-d),t[l]=u,t[l+1]=c,t[l+2]=d}while(--a)}while(--o)};Kv.Solarize=Ihe;var Xv={};Object.defineProperty(Xv,"__esModule",{value:!0});Xv.Threshold=void 0;const k6=Te,Nhe=wt,Dhe=de,Lhe=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=1)n[i]=n[i]<t?0:255};Xv.Threshold=Lhe;k6.Factory.addGetterSetter(Nhe.Node,"threshold",.5,(0,Dhe.getNumberValidator)(),k6.Factory.afterSetFilter);Object.defineProperty(iv,"__esModule",{value:!0});iv.Konva=void 0;const R6=aN,$he=cv,Fhe=hv,Bhe=mv,jhe=yv,Vhe=vv,O6=sc,zhe=Rh,Uhe=wc,Ghe=Mh,Hhe=_v,qhe=wv,Whe=xv,Khe=Cv,Xhe=sl,Yhe=Tv,Qhe=Ev,Zhe=Pv,Jhe=kv,epe=Rv,tpe=Ov,npe=Mv,rpe=Nv,ipe=Dv,ope=Lv,spe=$v,ape=Fv,lpe=Bv,upe=jv,cpe=Vv,dpe=zv,fpe=Uv,hpe=Gv,ppe=Hv,gpe=Wv,mpe=Kv,ype=Xv;iv.Konva=R6.Konva.Util._assign(R6.Konva,{Arc:$he.Arc,Arrow:Fhe.Arrow,Circle:Bhe.Circle,Ellipse:jhe.Ellipse,Image:Vhe.Image,Label:O6.Label,Tag:O6.Tag,Line:zhe.Line,Path:Uhe.Path,Rect:Ghe.Rect,RegularPolygon:Hhe.RegularPolygon,Ring:qhe.Ring,Sprite:Whe.Sprite,Star:Khe.Star,Text:Xhe.Text,TextPath:Yhe.TextPath,Transformer:Qhe.Transformer,Wedge:Zhe.Wedge,Filters:{Blur:Jhe.Blur,Brighten:epe.Brighten,Contrast:tpe.Contrast,Emboss:npe.Emboss,Enhance:rpe.Enhance,Grayscale:ipe.Grayscale,HSL:ope.HSL,HSV:spe.HSV,Invert:ape.Invert,Kaleidoscope:lpe.Kaleidoscope,Mask:upe.Mask,Noise:cpe.Noise,Pixelate:dpe.Pixelate,Posterize:fpe.Posterize,RGB:hpe.RGB,RGBA:ppe.RGBA,Sepia:gpe.Sepia,Solarize:mpe.Solarize,Threshold:ype.Threshold}});var vpe=_C.exports;Object.defineProperty(vpe,"__esModule",{value:!0});const bpe=iv;_C.exports=bpe.Konva;var Spe=_C.exports;const nd=ll(Spe),_pe=async(e,t,n)=>{const{width:r,height:i}=t,o=document.createElement("div"),s=new nd.Stage({container:o,width:r,height:i}),a=new nd.Layer,l=new nd.Layer;return a.add(new nd.Rect({...t,fill:n?"black":"white"})),e.forEach(u=>l.add(new nd.Line({points:u.points,stroke:n?"white":"black",strokeWidth:u.strokeWidth*2,tension:0,lineCap:"round",lineJoin:"round",shadowForStrokeEnabled:!1,globalCompositeOperation:u.tool==="brush"?"source-over":"destination-out"}))),s.add(a),s.add(l),o.remove(),s},wpe=async(e,t,n)=>new Promise((r,i)=>{const o=document.createElement("canvas");o.width=t,o.height=n;const s=o.getContext("2d"),a=new Image;if(!s){o.remove(),i("Unable to get context");return}a.onload=function(){s.drawImage(a,0,0),o.remove(),r(s.getImageData(0,0,t,n))},a.src=e}),M6=async(e,t)=>{const n=e.toDataURL(t);return await wpe(n,t.width,t.height)},xpe=async(e,t,n,r,i)=>{const o=fe("canvas"),s=nv(),a=Nle();if(!s||!a){o.error("Unable to find canvas / stage");return}const l={...t,...n},u=s.clone();u.scale({x:1,y:1});const c=u.getAbsolutePosition(),d={x:l.x+c.x,y:l.y+c.y,width:l.width,height:l.height},f=await Xm(u,d),h=await M6(u,d),p=await _pe(r?e.objects.filter(DO):[],l,i),m=await Xm(p,l),S=await M6(p,l);return{baseBlob:f,baseImageData:h,maskBlob:m,maskImageData:S}},Cpe=e=>{let t=!0,n=!1;const r=e.length;let i=3;for(i;i<r;i+=4)if(e[i]===255?t=!1:n=!0,!t&&n)return{isFullyTransparent:t,isPartiallyTransparent:n};return{isFullyTransparent:t,isPartiallyTransparent:n}},Tpe=e=>{const t=e.length;let n=0;for(n;n<t;)if(e[n++]===0&&e[n++]===0&&e[n++]===0&&e[n++]===255)return!0;return!1},Epe=(e,t)=>{const{isPartiallyTransparent:n,isFullyTransparent:r}=Cpe(e.data),i=Tpe(t.data);return 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f={id:Fi,type:"rand_int",is_intermediate:!0};t.nodes[Fi]=f,t.edges.push({source:{node_id:Fi,field:"a"},destination:{node_id:$e,field:"seed"}}),u&&t.edges.push({source:{node_id:Fi,field:"a"},destination:{node_id:Ke,field:"seed"}})}else t.nodes[$e].seed=i,u&&(u.seed=i)}else{u&&(u.positive_prompt=n);const c={id:Co,type:"range_of_size",is_intermediate:!0,size:r,step:1},d={id:lr,type:"iterate",is_intermediate:!0};if(t.nodes[lr]=d,t.nodes[Co]=c,t.edges.push({source:{node_id:Co,field:"collection"},destination:{node_id:lr,field:"collection"}}),t.edges.push({source:{node_id:lr,field:"item"},destination:{node_id:$e,field:"seed"}}),u&&t.edges.push({source:{node_id:lr,field:"item"},destination:{node_id:Ke,field:"seed"}}),o){const f={id:Fi,type:"rand_int",is_intermediate:!0};t.nodes[Fi]=f,t.edges.push({source:{node_id:Fi,field:"a"},destination:{node_id:Co,field:"start"}})}else c.start=i}},Ih=(e,t,n,r=Pn)=>{const{loras:i}=e.lora,o=gO(i),s=t.nodes[Ke];o>0&&(t.edges=t.edges.filter(u=>!(u.source.node_id===Pn&&["unet"].includes(u.source.field))&&!(u.source.node_id===rv&&["unet"].includes(u.source.field))),t.edges=t.edges.filter(u=>!(u.source.node_id===it&&["clip"].includes(u.source.field))));let a="",l=0;Za(i,u=>{const{model_name:c,base_model:d,weight:f}=u,h=`${mce}_${c.replace(".","_")}`,p={type:"lora_loader",id:h,is_intermediate:!0,lora:{model_name:c,base_model:d},weight:f};s&&s.loras.push({lora:{model_name:c,base_model:d},weight:f}),t.nodes[h]=p,l===0?(t.edges.push({source:{node_id:r,field:"unet"},destination:{node_id:h,field:"unet"}}),t.edges.push({source:{node_id:it,field:"clip"},destination:{node_id:h,field:"clip"}})):(t.edges.push({source:{node_id:a,field:"unet"},destination:{node_id:h,field:"unet"}}),t.edges.push({source:{node_id:a,field:"clip"},destination:{node_id:h,field:"clip"}})),l===o-1&&(t.edges.push({source:{node_id:h,field:"unet"},destination:{node_id:n,field:"unet"}}),t.edges.push({source:{node_id:h,field:"clip"},destination:{node_id:Be,field:"clip"}}),t.edges.push({source:{node_id:h,field:"clip"},destination:{node_id:qe,field:"clip"}})),a=h,l+=1})},zN=Jn(e=>e.ui,e=>RO[e.activeTab],{memoizeOptions:{equalityCheck:_0}}),b4e=Jn(e=>e.ui,e=>e.activeTab,{memoizeOptions:{equalityCheck:_0}}),S4e=Jn(e=>e.ui,e=>e,{memoizeOptions:{equalityCheck:_0}}),xl=(e,t,n=We)=>{const 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N1e{constructor(t){this.openGlobalLock=null,this.isDragging=!1,this.currentDirection=null,this.originPoint={x:0,y:0},this.constraints=!1,this.hasMutatedConstraints=!1,this.elastic=qt(),this.visualElement=t}start(t,{snapToCursor:n=!1}={}){const{presenceContext:r}=this.visualElement;if(r&&r.isPresent===!1)return;const i=l=>{this.stopAnimation(),n&&this.snapToCursor(a1(l,"page").point)},o=(l,u)=>{const{drag:c,dragPropagation:d,onDragStart:f}=this.getProps();if(c&&!d&&(this.openGlobalLock&&this.openGlobalLock(),this.openGlobalLock=BD(c),!this.openGlobalLock))return;this.isDragging=!0,this.currentDirection=null,this.resolveConstraints(),this.visualElement.projection&&(this.visualElement.projection.isAnimationBlocked=!0,this.visualElement.projection.target=void 0),Li(p=>{let m=this.getAxisMotionValue(p).get()||0;if(Ji.test(m)){const{projection:S}=this.visualElement;if(S&&S.layout){const y=S.layout.layoutBox[p];y&&(m=Mr(y)*(parseFloat(m)/100))}}this.originPoint[p]=m}),f&&St.update(()=>f(l,u),!1,!0);const{animationState:h}=this.visualElement;h&&h.setActive("whileDrag",!0)},s=(l,u)=>{const{dragPropagation:c,dragDirectionLock:d,onDirectionLock:f,onDrag:h}=this.getProps();if(!c&&!this.openGlobalLock)return;const{offset:p}=u;if(d&&this.currentDirection===null){this.currentDirection=D1e(p),this.currentDirection!==null&&f&&f(this.currentDirection);return}this.updateAxis("x",u.point,p),this.updateAxis("y",u.point,p),this.visualElement.render(),h&&h(l,u)},a=(l,u)=>this.stop(l,u);this.panSession=new _L(t,{onSessionStart:i,onStart:o,onMove:s,onSessionEnd:a},{transformPagePoint:this.visualElement.getTransformPagePoint()})}stop(t,n){const r=this.isDragging;if(this.cancel(),!r)return;const{velocity:i}=n;this.startAnimation(i);const{onDragEnd:o}=this.getProps();o&&St.update(()=>o(t,n))}cancel(){this.isDragging=!1;const{projection:t,animationState:n}=this.visualElement;t&&(t.isAnimationBlocked=!1),this.panSession&&this.panSession.end(),this.panSession=void 0;const{dragPropagation:r}=this.getProps();!r&&this.openGlobalLock&&(this.openGlobalLock(),this.openGlobalLock=null),n&&n.setActive("whileDrag",!1)}updateAxis(t,n,r){const{drag:i}=this.getProps();if(!r||!qp(t,i,this.currentDirection))return;const o=this.getAxisMotionValue(t);let s=this.originPoint[t]+r[t];this.constraints&&this.constraints[t]&&(s=_1e(s,this.constraints[t],this.elastic[t])),o.set(s)}resolveConstraints(){const{dragConstraints:t,dragElastic:n}=this.getProps(),{layout:r}=this.visualElement.projection||{},i=this.constraints;t&&pu(t)?this.constraints||(this.constraints=this.resolveRefConstraints()):t&&r?this.constraints=w1e(r.layoutBox,t):this.constraints=!1,this.elastic=E1e(n),i!==this.constraints&&r&&this.constraints&&!this.hasMutatedConstraints&&Li(o=>{this.getAxisMotionValue(o)&&(this.constraints[o]=T1e(r.layoutBox[o],this.constraints[o]))})}resolveRefConstraints(){const{dragConstraints:t,onMeasureDragConstraints:n}=this.getProps();if(!t||!pu(t))return!1;const r=t.current,{projection:i}=this.visualElement;if(!i||!i.layout)return!1;const o=M1e(r,i.root,this.visualElement.getTransformPagePoint());let s=x1e(i.layout.layoutBox,o);if(n){const a=n(P1e(s));this.hasMutatedConstraints=!!a,a&&(s=xL(a))}return s}startAnimation(t){const{drag:n,dragMomentum:r,dragElastic:i,dragTransition:o,dragSnapToOrigin:s,onDragTransitionEnd:a}=this.getProps(),l=this.constraints||{},u=Li(c=>{if(!qp(c,n,this.currentDirection))return;let d=l&&l[c]||{};s&&(d={min:0,max:0});const f=i?200:1e6,h=i?40:1e7,p={type:"inertia",velocity:r?t[c]:0,bounceStiffness:f,bounceDamping:h,timeConstant:750,restDelta:1,restSpeed:10,...o,...d};return this.startAxisValueAnimation(c,p)});return Promise.all(u).then(a)}startAxisValueAnimation(t,n){const r=this.getAxisMotionValue(t);return r.start(s3(t,r,0,n))}stopAnimation(){Li(t=>this.getAxisMotionValue(t).stop())}getAxisMotionValue(t){const n="_drag"+t.toUpperCase(),r=this.visualElement.getProps(),i=r[n];return i||this.visualElement.getValue(t,(r.initial?r.initial[t]:void 0)||0)}snapToCursor(t){Li(n=>{const{drag:r}=this.getProps();if(!qp(n,r,this.currentDirection))return;const{projection:i}=this.visualElement,o=this.getAxisMotionValue(n);if(i&&i.layout){const{min:s,max:a}=i.layout.layoutBox[n];o.set(t[n]-At(s,a,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!pu(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};Li(s=>{const a=this.getAxisMotionValue(s);if(a){const l=a.get();i[s]=C1e({min:l,max:l},this.constraints[s])}});const{transformTemplate:o}=this.visualElement.getProps();this.visualElement.current.style.transform=o?o({},""):"none",r.root&&r.root.updateScroll(),r.updateLayout(),this.resolveConstraints(),Li(s=>{if(!qp(s,t,null))return;const a=this.getAxisMotionValue(s),{min:l,max:u}=this.constraints[s];a.set(At(l,u,i[s]))})}addListeners(){if(!this.visualElement.current)return;I1e.set(this.visualElement,this);const t=this.visualElement.current,n=Io(t,"pointerdown",l=>{const{drag:u,dragListener:c=!0}=this.getProps();u&&c&&this.start(l)}),r=()=>{const{dragConstraints:l}=this.getProps();pu(l)&&(this.constraints=this.resolveRefConstraints())},{projection:i}=this.visualElement,o=i.addEventListener("measure",r);i&&!i.layout&&(i.root&&i.root.updateScroll(),i.updateLayout()),r();const s=Ao(window,"resize",()=>this.scalePositionWithinConstraints()),a=i.addEventListener("didUpdate",({delta:l,hasLayoutChanged:u})=>{this.isDragging&&u&&(Li(c=>{const d=this.getAxisMotionValue(c);d&&(this.originPoint[c]+=l[c].translate,d.set(d.get()+l[c].translate))}),this.visualElement.render())});return()=>{s(),n(),o(),a&&a()}}getProps(){const t=this.visualElement.getProps(),{drag:n=!1,dragDirectionLock:r=!1,dragPropagation:i=!1,dragConstraints:o=!1,dragElastic:s=z2,dragMomentum:a=!0}=t;return{...t,drag:n,dragDirectionLock:r,dragPropagation:i,dragConstraints:o,dragElastic:s,dragMomentum:a}}}function qp(e,t,n){return(t===!0||t===e)&&(n===null||n===e)}function D1e(e,t=10){let n=null;return Math.abs(e.y)>t?n="y":Math.abs(e.x)>t&&(n="x"),n}class L1e extends ca{constructor(t){super(t),this.removeGroupControls=Yt,this.removeListeners=Yt,this.controls=new N1e(t)}mount(){const{dragControls:t}=this.node.getProps();t&&(this.removeGroupControls=t.subscribe(this.controls)),this.removeListeners=this.controls.addListeners()||Yt}unmount(){this.removeGroupControls(),this.removeListeners()}}const MP=e=>(t,n)=>{e&&St.update(()=>e(t,n))};class $1e extends ca{constructor(){super(...arguments),this.removePointerDownListener=Yt}onPointerDown(t){this.session=new _L(t,this.createPanHandlers(),{transformPagePoint:this.node.getTransformPagePoint()})}createPanHandlers(){const{onPanSessionStart:t,onPanStart:n,onPan:r,onPanEnd:i}=this.node.getProps();return{onSessionStart:MP(t),onStart:MP(n),onMove:r,onEnd:(o,s)=>{delete this.session,i&&St.update(()=>i(o,s))}}}mount(){this.removePointerDownListener=Io(this.node.current,"pointerdown",t=>this.onPointerDown(t))}update(){this.session&&this.session.updateHandlers(this.createPanHandlers())}unmount(){this.removePointerDownListener(),this.session&&this.session.end()}}function F1e(){const e=k.useContext(Lh);if(e===null)return[!0,null];const{isPresent:t,onExitComplete:n,register:r}=e,i=k.useId();return k.useEffect(()=>r(i),[]),!t&&n?[!1,()=>n&&n(i)]:[!0]}function j4e(){return B1e(k.useContext(Lh))}function B1e(e){return e===null?!0:e.isPresent}const Ag={hasAnimatedSinceResize:!0,hasEverUpdated:!1};function IP(e,t){return t.max===t.min?0:e/(t.max-t.min)*100}const od={correct:(e,t)=>{if(!t.target)return e;if(typeof e=="string")if(me.test(e))e=parseFloat(e);else return e;const n=IP(e,t.target.x),r=IP(e,t.target.y);return`${n}% ${r}%`}},j1e={correct:(e,{treeScale:t,projectionDelta:n})=>{const r=e,i=Xs.parse(e);if(i.length>5)return r;const o=Xs.createTransformer(e),s=typeof i[0]!="number"?1:0,a=n.x.scale*t.x,l=n.y.scale*t.y;i[0+s]/=a,i[1+s]/=l;const u=At(a,l,.5);return typeof i[2+s]=="number"&&(i[2+s]/=u),typeof i[3+s]=="number"&&(i[3+s]/=u),o(i)}};class V1e extends Xe.Component{componentDidMount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r,layoutId:i}=this.props,{projection:o}=t;Kye(z1e),o&&(n.group&&n.group.add(o),r&&r.register&&i&&r.register(o),o.root.didUpdate(),o.addEventListener("animationComplete",()=>{this.safeToRemove()}),o.setOptions({...o.options,onExitComplete:()=>this.safeToRemove()})),Ag.hasEverUpdated=!0}getSnapshotBeforeUpdate(t){const{layoutDependency:n,visualElement:r,drag:i,isPresent:o}=this.props,s=r.projection;return s&&(s.isPresent=o,i||t.layoutDependency!==n||n===void 0?s.willUpdate():this.safeToRemove(),t.isPresent!==o&&(o?s.promote():s.relegate()||St.postRender(()=>{const a=s.getStack();(!a||!a.members.length)&&this.safeToRemove()}))),null}componentDidUpdate(){const{projection:t}=this.props.visualElement;t&&(t.root.didUpdate(),queueMicrotask(()=>{!t.currentAnimation&&t.isLead()&&this.safeToRemove()}))}componentWillUnmount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r}=this.props,{projection:i}=t;i&&(i.scheduleCheckAfterUnmount(),n&&n.group&&n.group.remove(i),r&&r.deregister&&r.deregister(i))}safeToRemove(){const{safeToRemove:t}=this.props;t&&t()}render(){return null}}function PL(e){const[t,n]=F1e(),r=k.useContext(qC);return Xe.createElement(V1e,{...e,layoutGroup:r,switchLayoutGroup:k.useContext(wD),isPresent:t,safeToRemove:n})}const z1e={borderRadius:{...od,applyTo:["borderTopLeftRadius","borderTopRightRadius","borderBottomLeftRadius","borderBottomRightRadius"]},borderTopLeftRadius:od,borderTopRightRadius:od,borderBottomLeftRadius:od,borderBottomRightRadius:od,boxShadow:j1e},AL=["TopLeft","TopRight","BottomLeft","BottomRight"],U1e=AL.length,NP=e=>typeof e=="string"?parseFloat(e):e,DP=e=>typeof e=="number"||me.test(e);function G1e(e,t,n,r,i,o){i?(e.opacity=At(0,n.opacity!==void 0?n.opacity:1,H1e(r)),e.opacityExit=At(t.opacity!==void 0?t.opacity:1,0,q1e(r))):o&&(e.opacity=At(t.opacity!==void 0?t.opacity:1,n.opacity!==void 0?n.opacity:1,r));for(let s=0;s<U1e;s++){const a=`border${AL[s]}Radius`;let l=LP(t,a),u=LP(n,a);if(l===void 0&&u===void 0)continue;l||(l=0),u||(u=0),l===0||u===0||DP(l)===DP(u)?(e[a]=Math.max(At(NP(l),NP(u),r),0),(Ji.test(u)||Ji.test(l))&&(e[a]+="%")):e[a]=u}(t.rotate||n.rotate)&&(e.rotate=At(t.rotate||0,n.rotate||0,r))}function LP(e,t){return e[t]!==void 0?e[t]:e.borderRadius}const H1e=kL(0,.5,n3),q1e=kL(.5,.95,Yt);function kL(e,t,n){return r=>r<e?0:r>t?1:n(qf(e,t,r))}function $P(e,t){e.min=t.min,e.max=t.max}function Vr(e,t){$P(e.x,t.x),$P(e.y,t.y)}function FP(e,t,n,r,i){return e-=t,e=hy(e,1/n,r),i!==void 0&&(e=hy(e,1/i,r)),e}function W1e(e,t=0,n=1,r=.5,i,o=e,s=e){if(Ji.test(t)&&(t=parseFloat(t),t=At(s.min,s.max,t/100)-s.min),typeof t!="number")return;let a=At(o.min,o.max,r);e===o&&(a-=t),e.min=FP(e.min,t,n,a,i),e.max=FP(e.max,t,n,a,i)}function BP(e,t,[n,r,i],o,s){W1e(e,t[n],t[r],t[i],t.scale,o,s)}const K1e=["x","scaleX","originX"],X1e=["y","scaleY","originY"];function jP(e,t,n,r){BP(e.x,t,K1e,n?n.x:void 0,r?r.x:void 0),BP(e.y,t,X1e,n?n.y:void 0,r?r.y:void 0)}function VP(e){return e.translate===0&&e.scale===1}function RL(e){return VP(e.x)&&VP(e.y)}function H2(e,t){return e.x.min===t.x.min&&e.x.max===t.x.max&&e.y.min===t.y.min&&e.y.max===t.y.max}function zP(e){return Mr(e.x)/Mr(e.y)}class Y1e{constructor(){this.members=[]}add(t){a3(this.members,t),t.scheduleRender()}remove(t){if(l3(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function UP(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) `),(t.x!==1||t.y!==1)&&(r+=`scale(${1/t.x}, ${1/t.y}) `),n){const{rotate:l,rotateX:u,rotateY:c}=n;l&&(r+=`rotate(${l}deg) `),u&&(r+=`rotateX(${u}deg) `),c&&(r+=`rotateY(${c}deg) `)}const 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0:t()){this.id=rbe++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Ea.totalNodes=Ea.resolvedTargetDeltas=Ea.recalculatedProjection=0,this.nodes.forEach(sbe),this.nodes.forEach(dbe),this.nodes.forEach(fbe),this.nodes.forEach(abe),ebe(Ea)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new Z1e)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new u3),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=tbe(s),this.instance=s;const{layoutId:l,layout:u,visualElement:c}=this.options;if(c&&!c.current&&c.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let d;const f=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,d&&d(),d=J1e(f,250),Ag.hasAnimatedSinceResize&&(Ag.hasAnimatedSinceResize=!1,this.nodes.forEach(WP))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&c&&(l||u)&&this.addEventListener("didUpdate",({delta:d,hasLayoutChanged:f,hasRelativeTargetChanged:h,layout:p})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const m=this.options.transition||c.getDefaultTransition()||ybe,{onLayoutAnimationStart:S,onLayoutAnimationComplete:y}=c.getProps(),v=!this.targetLayout||!H2(this.targetLayout,p)||h,g=!f&&h;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||g||f&&(v||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(d,g);const b={...yL(m,"layout"),onPlay:S,onComplete:y};(c.shouldReduceMotion||this.options.layoutRoot)&&(b.delay=0,b.type=!1),this.startAnimation(b)}else f||WP(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=p})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,Uo(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(hbe),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let c=0;c<this.path.length;c++){const d=this.path[c];d.shouldResetTransform=!0,d.updateScroll("snapshot"),d.options.layoutRoot&&d.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(qP);return}this.isUpdating||this.nodes.forEach(ube),this.isUpdating=!1,this.nodes.forEach(cbe),this.nodes.forEach(ibe),this.nodes.forEach(obe),this.clearAllSnapshots();const a=performance.now();$n.delta=Ks(0,1e3/60,a-$n.timestamp),$n.timestamp=a,$n.isProcessing=!0,iS.update.process($n),iS.preRender.process($n),iS.render.process($n),$n.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach(lbe),this.sharedNodes.forEach(pbe)}scheduleUpdateProjection(){St.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){St.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=qt(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!RL(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,c=u!==this.prevTransformTemplateValue;s&&(a||Ta(this.latestValues)||c)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),vbe(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return qt();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(fs(a.x,l.offset.x),fs(a.y,l.offset.y)),a}removeElementScroll(s){const a=qt();Vr(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:c,options:d}=u;if(u!==this.root&&c&&d.layoutScroll){if(c.isRoot){Vr(a,s);const{scroll:f}=this.root;f&&(fs(a.x,-f.offset.x),fs(a.y,-f.offset.y))}fs(a.x,c.offset.x),fs(a.y,c.offset.y)}}return a}applyTransform(s,a=!1){const l=qt();Vr(l,s);for(let u=0;u<this.path.length;u++){const c=this.path[u];!a&&c.options.layoutScroll&&c.scroll&&c!==c.root&&yu(l,{x:-c.scroll.offset.x,y:-c.scroll.offset.y}),Ta(c.latestValues)&&yu(l,c.latestValues)}return Ta(this.latestValues)&&yu(l,this.latestValues),l}removeTransform(s){const a=qt();Vr(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!Ta(u.latestValues))continue;U2(u.latestValues)&&u.updateSnapshot();const c=qt(),d=u.measurePageBox();Vr(c,d),jP(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,c)}return Ta(this.latestValues)&&jP(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==$n.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:d,layoutId:f}=this.options;if(!(!this.layout||!(d||f))){if(this.resolvedRelativeTargetAt=$n.timestamp,!this.targetDelta&&!this.relativeTarget){const h=this.getClosestProjectingParent();h&&h.layout&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=qt(),this.relativeTargetOrigin=qt(),Nd(this.relativeTargetOrigin,this.layout.layoutBox,h.layout.layoutBox),Vr(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=qt(),this.targetWithTransforms=qt()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),S1e(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):Vr(this.target,this.layout.layoutBox),TL(this.target,this.targetDelta)):Vr(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const h=this.getClosestProjectingParent();h&&!!h.resumingFrom==!!this.resumingFrom&&!h.options.layoutScroll&&h.target&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=qt(),this.relativeTargetOrigin=qt(),Nd(this.relativeTargetOrigin,this.target,h.target),Vr(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Ea.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||U2(this.parent.latestValues)||CL(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===$n.timestamp&&(u=!1),u)return;const{layout:c,layoutId:d}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(c||d))return;Vr(this.layoutCorrected,this.layout.layoutBox);const f=this.treeScale.x,h=this.treeScale.y;k1e(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:p}=a;if(!p){this.projectionTransform&&(this.projectionDelta=mu(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=mu(),this.projectionDeltaWithTransform=mu());const m=this.projectionTransform;Id(this.projectionDelta,this.layoutCorrected,p,this.latestValues),this.projectionTransform=UP(this.projectionDelta,this.treeScale),(this.projectionTransform!==m||this.treeScale.x!==f||this.treeScale.y!==h)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",p)),Ea.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},c={...this.latestValues},d=mu();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const f=qt(),h=l?l.source:void 0,p=this.layout?this.layout.source:void 0,m=h!==p,S=this.getStack(),y=!S||S.members.length<=1,v=!!(m&&!y&&this.options.crossfade===!0&&!this.path.some(mbe));this.animationProgress=0;let g;this.mixTargetDelta=b=>{const _=b/1e3;KP(d.x,s.x,_),KP(d.y,s.y,_),this.setTargetDelta(d),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Nd(f,this.layout.layoutBox,this.relativeParent.layout.layoutBox),gbe(this.relativeTarget,this.relativeTargetOrigin,f,_),g&&H2(this.relativeTarget,g)&&(this.isProjectionDirty=!1),g||(g=qt()),Vr(g,this.relativeTarget)),m&&(this.animationValues=c,G1e(c,u,this.latestValues,_,v,y)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=_},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(Uo(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=St.update(()=>{Ag.hasAnimatedSinceResize=!0,this.currentAnimation=nbe(0,HP,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(HP),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:c}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&ML(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||qt();const d=Mr(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+d;const f=Mr(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+f}Vr(a,l),yu(a,c),Id(this.projectionDeltaWithTransform,this.layoutCorrected,a,c)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new Y1e),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let c=0;c<GP.length;c++){const d="rotate"+GP[c];l[d]&&(u[d]=l[d],s.setStaticValue(d,0))}s.render();for(const c in u)s.setStaticValue(c,u[c]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const c=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=Pg(s.pointerEvents)||"",u.transform=c?c(this.latestValues,""):"none",u;const d=this.getLead();if(!this.projectionDelta||!this.layout||!d.target){const m={};return this.options.layoutId&&(m.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,m.pointerEvents=Pg(s.pointerEvents)||""),this.hasProjected&&!Ta(this.latestValues)&&(m.transform=c?c({},""):"none",this.hasProjected=!1),m}const f=d.animationValues||d.latestValues;this.applyTransformsToTarget(),u.transform=UP(this.projectionDeltaWithTransform,this.treeScale,f),c&&(u.transform=c(f,u.transform));const{x:h,y:p}=this.projectionDelta;u.transformOrigin=`${h.origin*100}% ${p.origin*100}% 0`,d.animationValues?u.opacity=d===this?(l=(a=f.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:f.opacityExit:u.opacity=d===this?f.opacity!==void 0?f.opacity:"":f.opacityExit!==void 0?f.opacityExit:0;for(const m in sy){if(f[m]===void 0)continue;const{correct:S,applyTo:y}=sy[m],v=u.transform==="none"?f[m]:S(f[m],d);if(y){const g=y.length;for(let b=0;b<g;b++)u[y[b]]=v}else u[m]=v}return this.options.layoutId&&(u.pointerEvents=d===this?Pg(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(qP),this.root.sharedNodes.clear()}}}function ibe(e){e.updateLayout()}function obe(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?Li(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=Mr(f);f.min=r[d].min,f.max=f.min+h}):ML(o,n.layoutBox,r)&&Li(d=>{const f=s?n.measuredBox[d]:n.layoutBox[d],h=Mr(r[d]);f.max=f.min+h,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[d].max=e.relativeTarget[d].min+h)});const a=mu();Id(a,r,n.layoutBox);const l=mu();s?Id(l,e.applyTransform(i,!0),n.measuredBox):Id(l,r,n.layoutBox);const u=!RL(a);let c=!1;if(!e.resumeFrom){const d=e.getClosestProjectingParent();if(d&&!d.resumeFrom){const{snapshot:f,layout:h}=d;if(f&&h){const p=qt();Nd(p,n.layoutBox,f.layoutBox);const m=qt();Nd(m,r,h.layoutBox),H2(p,m)||(c=!0),d.options.layoutRoot&&(e.relativeTarget=m,e.relativeTargetOrigin=p,e.relativeParent=d)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:c})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function sbe(e){Ea.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function abe(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function lbe(e){e.clearSnapshot()}function qP(e){e.clearMeasurements()}function ube(e){e.isLayoutDirty=!1}function cbe(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function WP(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function dbe(e){e.resolveTargetDelta()}function fbe(e){e.calcProjection()}function hbe(e){e.resetRotation()}function pbe(e){e.removeLeadSnapshot()}function KP(e,t,n){e.translate=At(t.translate,0,n),e.scale=At(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function XP(e,t,n,r){e.min=At(t.min,n.min,r),e.max=At(t.max,n.max,r)}function gbe(e,t,n,r){XP(e.x,t.x,n.x,r),XP(e.y,t.y,n.y,r)}function mbe(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const ybe={duration:.45,ease:[.4,0,.1,1]};function YP(e){e.min=Math.round(e.min*2)/2,e.max=Math.round(e.max*2)/2}function vbe(e){YP(e.x),YP(e.y)}function ML(e,t,n){return e==="position"||e==="preserve-aspect"&&!V2(zP(t),zP(n),.2)}const bbe=OL({attachResizeListener:(e,t)=>Ao(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),mS={current:void 0},IL=OL({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!mS.current){const e=new bbe({});e.mount(window),e.setOptions({layoutScroll:!0}),mS.current=e}return mS.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>window.getComputedStyle(e).position==="fixed"}),Sbe={pan:{Feature:$1e},drag:{Feature:L1e,ProjectionNode:IL,MeasureLayout:PL}},_be=/var\((--[a-zA-Z0-9-_]+),? ?([a-zA-Z0-9 ()%#.,-]+)?\)/;function wbe(e){const t=_be.exec(e);if(!t)return[,];const[,n,r]=t;return[n,r]}function q2(e,t,n=1){const[r,i]=wbe(e);if(!r)return;const o=window.getComputedStyle(t).getPropertyValue(r);return o?o.trim():N2(i)?q2(i,t,n+1):i}function xbe(e,{...t},n){const r=e.current;if(!(r instanceof Element))return{target:t,transitionEnd:n};n&&(n={...n}),e.values.forEach(i=>{const o=i.get();if(!N2(o))return;const s=q2(o,r);s&&i.set(s)});for(const i in t){const o=t[i];if(!N2(o))continue;const s=q2(o,r);s&&(t[i]=s,n||(n={}),n[i]===void 0&&(n[i]=o))}return{target:t,transitionEnd:n}}const Cbe=new Set(["width","height","top","left","right","bottom","x","y","translateX","translateY"]),NL=e=>Cbe.has(e),Tbe=e=>Object.keys(e).some(NL),QP=e=>e===Pl||e===me,ZP=(e,t)=>parseFloat(e.split(", ")[t]),JP=(e,t)=>(n,{transform:r})=>{if(r==="none"||!r)return 0;const i=r.match(/^matrix3d\((.+)\)$/);if(i)return ZP(i[1],t);{const o=r.match(/^matrix\((.+)\)$/);return o?ZP(o[1],e):0}},Ebe=new Set(["x","y","z"]),Pbe=$h.filter(e=>!Ebe.has(e));function Abe(e){const t=[];return Pbe.forEach(n=>{const r=e.getValue(n);r!==void 0&&(t.push([n,r.get()]),r.set(n.startsWith("scale")?1:0))}),t.length&&e.render(),t}const 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Zbe=({children:e,custom:t,initial:n=!0,onExitComplete:r,exitBeforeEnter:i,presenceAffectsLayout:o=!0,mode:s="sync"})=>{const a=k.useContext(qC).forceRender||Hbe()[0],l=FL(),u=Qbe(e);let c=u;const d=k.useRef(new Map).current,f=k.useRef(c),h=k.useRef(new Map).current,p=k.useRef(!0);if(oy(()=>{p.current=!1,Ybe(u,h),f.current=c}),Xbe(()=>{p.current=!0,h.clear(),d.clear()}),p.current)return k.createElement(k.Fragment,null,c.map(v=>k.createElement(yS,{key:Zl(v),isPresent:!0,initial:n?void 0:!1,presenceAffectsLayout:o,mode:s},v)));c=[...c];const m=f.current.map(Zl),S=u.map(Zl),y=m.length;for(let v=0;v<y;v++){const g=m[v];S.indexOf(g)===-1&&!d.has(g)&&d.set(g,void 0)}return s==="wait"&&d.size&&(c=[]),d.forEach((v,g)=>{if(S.indexOf(g)!==-1)return;const b=h.get(g);if(!b)return;const _=m.indexOf(g);let w=v;if(!w){const x=()=>{h.delete(g),d.delete(g);const 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K.jsx(al.div,{ref:t,__css:c,className:u,...l,children:r&&K.jsx(al.span,{srOnly:!0,children:r})})});BL.displayName="Spinner";var K2=Tl(function(t,n){const{htmlWidth:r,htmlHeight:i,alt:o,...s}=t;return K.jsx("img",{width:r,height:i,ref:n,alt:o,...s})});K2.displayName="NativeImage";function eSe(e){const{loading:t,src:n,srcSet:r,onLoad:i,onError:o,crossOrigin:s,sizes:a,ignoreFallback:l}=e,[u,c]=k.useState("pending");k.useEffect(()=>{c(n?"loading":"pending")},[n]);const d=k.useRef(),f=k.useCallback(()=>{if(!n)return;h();const p=new Image;p.src=n,s&&(p.crossOrigin=s),r&&(p.srcset=r),a&&(p.sizes=a),t&&(p.loading=t),p.onload=m=>{h(),c("loaded"),i==null||i(m)},p.onerror=m=>{h(),c("failed"),o==null||o(m)},d.current=p},[n,s,r,a,i,o,t]),h=()=>{d.current&&(d.current.onload=null,d.current.onerror=null,d.current=null)};return jge(()=>{if(!l)return u==="loading"&&f(),()=>{h()}},[u,f,l]),l?"loaded":u}var tSe=(e,t)=>e!=="loaded"&&t==="beforeLoadOrError"||e==="failed"&&t==="onError";function 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location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=KSe(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=JL,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new o_e[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Jl.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;Jl.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",d=>{if(!r)if(d.type==="pong"&&d.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;Jl.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(c(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const f=new Error("probe error");f.transport=n.name,this.emitReserved("upgradeError",f)}}))};function o(){r||(r=!0,c(),n.close(),n=null)}const s=d=>{const f=new Error("probe error: "+d);f.transport=n.name,o(),this.emitReserved("upgradeError",f)};function a(){s("transport closed")}function l(){s("socket closed")}function u(d){n&&d.name!==n.name&&o()}const c=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",Jl.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=HSe(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){Jl.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};o$.protocol=JL;function c_e(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=nw(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const d_e=typeof ArrayBuffer=="function",f_e=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,s$=Object.prototype.toString,h_e=typeof Blob=="function"||typeof Blob<"u"&&s$.call(Blob)==="[object BlobConstructor]",p_e=typeof File=="function"||typeof File<"u"&&s$.call(File)==="[object FileConstructor]";function y3(e){return d_e&&(e instanceof ArrayBuffer||f_e(e))||h_e&&e instanceof Blob||p_e&&e instanceof File}function Og(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(Og(e[n]))return!0;return!1}if(y3(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return Og(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&Og(e[n]))return!0;return!1}function g_e(e){const t=[],n=e.data,r=e;return r.data=rw(n,t),r.attachments=t.length,{packet:r,buffers:t}}function rw(e,t){if(!e)return e;if(y3(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=rw(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=rw(e[r],t));return n}return e}function m_e(e,t){return e.data=iw(e.data,t),delete e.attachments,e}function iw(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=iw(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=iw(e[n],t));return e}const y_e=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],v_e=5;var Ne;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(Ne||(Ne={}));class b_e{constructor(t){this.replacer=t}encode(t){return(t.type===Ne.EVENT||t.type===Ne.ACK)&&Og(t)?this.encodeAsBinary({type:t.type===Ne.EVENT?Ne.BINARY_EVENT:Ne.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===Ne.BINARY_EVENT||t.type===Ne.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=g_e(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function y8(e){return Object.prototype.toString.call(e)==="[object Object]"}class v3 extends Qt{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===Ne.BINARY_EVENT;r||n.type===Ne.BINARY_ACK?(n.type=r?Ne.EVENT:Ne.ACK,this.reconstructor=new S_e(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(y3(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(Ne[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===Ne.BINARY_EVENT||r.type===Ne.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(v3.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case Ne.CONNECT:return y8(n);case Ne.DISCONNECT:return n===void 0;case Ne.CONNECT_ERROR:return typeof n=="string"||y8(n);case Ne.EVENT:case Ne.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&y_e.indexOf(n[0])===-1);case Ne.ACK:case Ne.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class S_e{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=m_e(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const __e=Object.freeze(Object.defineProperty({__proto__:null,Decoder:v3,Encoder:b_e,get PacketType(){return Ne},protocol:v_e},Symbol.toStringTag,{value:"Module"}));function ui(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const w_e=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class a$ extends Qt{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[ui(t,"open",this.onopen.bind(this)),ui(t,"packet",this.onpacket.bind(this)),ui(t,"error",this.onerror.bind(this)),ui(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(w_e.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:Ne.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:Ne.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case Ne.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case Ne.EVENT:case Ne.BINARY_EVENT:this.onevent(t);break;case Ne.ACK:case Ne.BINARY_ACK:this.onack(t);break;case Ne.DISCONNECT:this.ondisconnect();break;case Ne.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:Ne.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:Ne.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const n=this._anyOutgoingListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const n=this._anyOutgoingListeners.slice();for(const r of n)r.apply(this,t.data)}}}function Ec(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}Ec.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),n=Math.floor(t*this.jitter*e);e=Math.floor(t*10)&1?e+n:e-n}return Math.min(e,this.max)|0};Ec.prototype.reset=function(){this.attempts=0};Ec.prototype.setMin=function(e){this.ms=e};Ec.prototype.setMax=function(e){this.max=e};Ec.prototype.setJitter=function(e){this.jitter=e};class ow extends Qt{constructor(t,n){var r;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(n=t,t=void 0),n=n||{},n.path=n.path||"/socket.io",this.opts=n,u1(this,n),this.reconnection(n.reconnection!==!1),this.reconnectionAttempts(n.reconnectionAttempts||1/0),this.reconnectionDelay(n.reconnectionDelay||1e3),this.reconnectionDelayMax(n.reconnectionDelayMax||5e3),this.randomizationFactor((r=n.randomizationFactor)!==null&&r!==void 0?r:.5),this.backoff=new Ec({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(n.timeout==null?2e4:n.timeout),this._readyState="closed",this.uri=t;const i=n.parser||__e;this.encoder=new i.Encoder,this.decoder=new i.Decoder,this._autoConnect=n.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var n;return t===void 0?this._reconnectionDelay:(this._reconnectionDelay=t,(n=this.backoff)===null||n===void 0||n.setMin(t),this)}randomizationFactor(t){var n;return t===void 0?this._randomizationFactor:(this._randomizationFactor=t,(n=this.backoff)===null||n===void 0||n.setJitter(t),this)}reconnectionDelayMax(t){var n;return t===void 0?this._reconnectionDelayMax:(this._reconnectionDelayMax=t,(n=this.backoff)===null||n===void 0||n.setMax(t),this)}timeout(t){return arguments.length?(this._timeout=t,this):this._timeout}maybeReconnectOnOpen(){!this._reconnecting&&this._reconnection&&this.backoff.attempts===0&&this.reconnect()}open(t){if(~this._readyState.indexOf("open"))return this;this.engine=new o$(this.uri,this.opts);const n=this.engine,r=this;this._readyState="opening",this.skipReconnect=!1;const i=ui(n,"open",function(){r.onopen(),t&&t()}),o=a=>{this.cleanup(),this._readyState="closed",this.emitReserved("error",a),t?t(a):this.maybeReconnectOnOpen()},s=ui(n,"error",o);if(this._timeout!==!1){const 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Dd(or(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(Ur.Resize,this.handleCancel),this.windowListeners.add(Ur.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(Ur.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&v$(r),n(Ei)}handleKeyDown(t){if(_3(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=b$,coordinateGetter:s=d2e,scrollBehavior:a="smooth"}=i,{code:l}=t;if(o.end.includes(l)){this.handleEnd(t);return}if(o.cancel.includes(l)){this.handleCancel(t);return}const{collisionRect:u}=r.current,c=u?{x:u.left,y:u.top}:Ei;this.referenceCoordinates||(this.referenceCoordinates=c);const d=s(t,{active:n,context:r.current,currentCoordinates:c});if(d){const f=vy(d,c),h={x:0,y:0},{scrollableAncestors:p}=r.current;for(const m of p){const S=t.code,{isTop:y,isRight:v,isLeft:g,isBottom:b,maxScroll:_,minScroll:w}=m$(m),x=o2e(m),T={x:Math.min(S===at.Right?x.right-x.width/2:x.right,Math.max(S===at.Right?x.left:x.left+x.width/2,d.x)),y:Math.min(S===at.Down?x.bottom-x.height/2:x.bottom,Math.max(S===at.Down?x.top:x.top+x.height/2,d.y))},P=S===at.Right&&!v||S===at.Left&&!g,E=S===at.Down&&!b||S===at.Up&&!y;if(P&&T.x!==d.x){const A=m.scrollLeft+f.x,$=S===at.Right&&A<=_.x||S===at.Left&&A>=w.x;if($&&!f.y){m.scrollTo({left:A,behavior:a});return}$?h.x=m.scrollLeft-A:h.x=S===at.Right?m.scrollLeft-_.x:m.scrollLeft-w.x,h.x&&m.scrollBy({left:-h.x,behavior:a});break}else if(E&&T.y!==d.y){const A=m.scrollTop+f.y,$=S===at.Down&&A<=_.y||S===at.Up&&A>=w.y;if($&&!f.x){m.scrollTo({top:A,behavior:a});return}$?h.y=m.scrollTop-A:h.y=S===at.Down?m.scrollTop-_.y:m.scrollTop-w.y,h.y&&m.scrollBy({top:-h.y,behavior:a});break}}this.handleMove(t,Bu(vy(d,this.referenceCoordinates),h))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}S$.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=b$,onActivation:i}=t,{active:o}=n;const{code:s}=e.nativeEvent;if(r.start.includes(s)){const a=o.activatorNode.current;return a&&e.target!==a?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function x8(e){return!!(e&&"distance"in e)}function C8(e){return!!(e&&"delay"in e)}class C3{constructor(t,n,r){var i;r===void 0&&(r=u2e(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=Ac(s),this.documentListeners=new Dd(this.document),this.listeners=new Dd(r),this.windowListeners=new Dd(or(s)),this.initialCoordinates=(i=Yf(o))!=null?i:Ei,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(Ur.Resize,this.handleCancel),this.windowListeners.add(Ur.DragStart,w8),this.windowListeners.add(Ur.VisibilityChange,this.handleCancel),this.windowListeners.add(Ur.ContextMenu,w8),this.documentListeners.add(Ur.Keydown,this.handleKeydown),n){if(x8(n))return;if(C8(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(Ur.Click,c2e,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(Ur.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=Yf(t))!=null?n:Ei,u=vy(i,l);if(!r&&a){if(C8(a))return wS(u,a.tolerance)?this.handleCancel():void 0;if(x8(a))return a.tolerance!=null&&wS(u,a.tolerance)?this.handleCancel():wS(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===at.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const f2e={move:{name:"pointermove"},end:{name:"pointerup"}};class _$ extends C3{constructor(t){const{event:n}=t,r=Ac(n.target);super(t,f2e,r)}}_$.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const h2e={move:{name:"mousemove"},end:{name:"mouseup"}};var aw;(function(e){e[e.RightClick=2]="RightClick"})(aw||(aw={}));class w$ extends C3{constructor(t){super(t,h2e,Ac(t.event.target))}}w$.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===aw.RightClick?!1:(r==null||r({event:n}),!0)}}];const xS={move:{name:"touchmove"},end:{name:"touchend"}};class x$ extends C3{constructor(t){super(t,xS)}static setup(){return window.addEventListener(xS.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(xS.move.name,t)};function t(){}}}x$.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var Ld;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Ld||(Ld={}));var Sy;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(Sy||(Sy={}));function p2e(e){let{acceleration:t,activator:n=Ld.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=Sy.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:c,delta:d,threshold:f}=e;const h=m2e({delta:d,disabled:!o}),[p,m]=C_e(),S=k.useRef({x:0,y:0}),y=k.useRef({x:0,y:0}),v=k.useMemo(()=>{switch(n){case Ld.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case Ld.DraggableRect:return i}},[n,i,l]),g=k.useRef(null),b=k.useCallback(()=>{const w=g.current;if(!w)return;const x=S.current.x*y.current.x,T=S.current.y*y.current.y;w.scrollBy(x,T)},[]),_=k.useMemo(()=>a===Sy.TreeOrder?[...u].reverse():u,[a,u]);k.useEffect(()=>{if(!o||!u.length||!v){m();return}for(const w of _){if((r==null?void 0:r(w))===!1)continue;const x=u.indexOf(w),T=c[x];if(!T)continue;const{direction:P,speed:E}=i2e(w,T,v,t,f);for(const A of["x","y"])h[A][P[A]]||(E[A]=0,P[A]=0);if(E.x>0||E.y>0){m(),g.current=w,p(b,s),S.current=E,y.current=P;return}}S.current={x:0,y:0},y.current={x:0,y:0},m()},[t,b,r,m,o,s,JSON.stringify(v),JSON.stringify(h),p,u,_,c,JSON.stringify(f)])}const g2e={x:{[fn.Backward]:!1,[fn.Forward]:!1},y:{[fn.Backward]:!1,[fn.Forward]:!1}};function m2e(e){let{delta:t,disabled:n}=e;const r=yy(t);return zh(i=>{if(n||!r||!i)return g2e;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[fn.Backward]:i.x[fn.Backward]||o.x===-1,[fn.Forward]:i.x[fn.Forward]||o.x===1},y:{[fn.Backward]:i.y[fn.Backward]||o.y===-1,[fn.Forward]:i.y[fn.Forward]||o.y===1}}},[n,t,r])}function y2e(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return zh(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function v2e(e,t){return k.useMemo(()=>e.reduce((n,r)=>{const{sensor:i}=r,o=i.activators.map(s=>({eventName:s.eventName,handler:t(s.handler,r)}));return[...n,...o]},[]),[e,t])}var Zf;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(Zf||(Zf={}));var lw;(function(e){e.Optimized="optimized"})(lw||(lw={}));const T8=new Map;function b2e(e,t){let{dragging:n,dependencies:r,config:i}=t;const[o,s]=k.useState(null),{frequency:a,measure:l,strategy:u}=i,c=k.useRef(e),d=S(),f=Xf(d),h=k.useCallback(function(y){y===void 0&&(y=[]),!f.current&&s(v=>v===null?y:v.concat(y.filter(g=>!v.includes(g))))},[f]),p=k.useRef(null),m=zh(y=>{if(d&&!n)return T8;if(!y||y===T8||c.current!==e||o!=null){const v=new Map;for(let g of e){if(!g)continue;if(o&&o.length>0&&!o.includes(g.id)&&g.rect.current){v.set(g.id,g.rect.current);continue}const b=g.node.current,_=b?new x3(l(b),b):null;g.rect.current=_,_&&v.set(g.id,_)}return v}return y},[e,o,n,d,l]);return k.useEffect(()=>{c.current=e},[e]),k.useEffect(()=>{d||h()},[n,d]),k.useEffect(()=>{o&&o.length>0&&s(null)},[JSON.stringify(o)]),k.useEffect(()=>{d||typeof a!="number"||p.current!==null||(p.current=setTimeout(()=>{h(),p.current=null},a))},[a,d,h,...r]),{droppableRects:m,measureDroppableContainers:h,measuringScheduled:o!=null};function S(){switch(u){case Zf.Always:return!1;case Zf.BeforeDragging:return n;default:return!n}}}function T3(e,t){return zh(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function S2e(e,t){return T3(e,t)}function _2e(e){let{callback:t,disabled:n}=e;const r=d1(t),i=k.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:o}=window;return new o(r)},[r,n]);return k.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function h1(e){let{callback:t,disabled:n}=e;const r=d1(t),i=k.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:o}=window;return new o(r)},[n]);return k.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function w2e(e){return new x3(Uh(e),e)}function E8(e,t,n){t===void 0&&(t=w2e);const[r,i]=k.useReducer(a,null),o=_2e({callback(l){if(e)for(const u of l){const{type:c,target:d}=u;if(c==="childList"&&d instanceof HTMLElement&&d.contains(e)){i();break}}}}),s=h1({callback:i});return io(()=>{i(),e?(s==null||s.observe(e),o==null||o.observe(document.body,{childList:!0,subtree:!0})):(s==null||s.disconnect(),o==null||o.disconnect())},[e]),r;function a(l){if(!e)return null;if(e.isConnected===!1){var u;return(u=l??n)!=null?u:null}const c=t(e);return JSON.stringify(l)===JSON.stringify(c)?l:c}}function x2e(e){const t=T3(e);return c$(e,t)}const P8=[];function C2e(e){const t=k.useRef(e),n=zh(r=>e?r&&r!==P8&&e&&t.current&&e.parentNode===t.current.parentNode?r:w3(e):P8,[e]);return k.useEffect(()=>{t.current=e},[e]),n}function T2e(e){const[t,n]=k.useState(null),r=k.useRef(e),i=k.useCallback(o=>{const s=_S(o.target);s&&n(a=>a?(a.set(s,sw(s)),new Map(a)):null)},[]);return k.useEffect(()=>{const o=r.current;if(e!==o){s(o);const a=e.map(l=>{const u=_S(l);return u?(u.addEventListener("scroll",i,{passive:!0}),[u,sw(u)]):null}).filter(l=>l!=null);n(a.length?new Map(a):null),r.current=e}return()=>{s(e),s(o)};function s(a){a.forEach(l=>{const u=_S(l);u==null||u.removeEventListener("scroll",i)})}},[i,e]),k.useMemo(()=>e.length?t?Array.from(t.values()).reduce((o,s)=>Bu(o,s),Ei):y$(e):Ei,[e,t])}function A8(e,t){t===void 0&&(t=[]);const n=k.useRef(null);return k.useEffect(()=>{n.current=null},t),k.useEffect(()=>{const r=e!==Ei;r&&!n.current&&(n.current=e),!r&&n.current&&(n.current=null)},[e]),n.current?vy(e,n.current):Ei}function E2e(e){k.useEffect(()=>{if(!c1)return;const t=e.map(n=>{let{sensor:r}=n;return r.setup==null?void 0:r.setup()});return()=>{for(const n of t)n==null||n()}},e.map(t=>{let{sensor:n}=t;return n}))}function P2e(e,t){return k.useMemo(()=>e.reduce((n,r)=>{let{eventName:i,handler:o}=r;return n[i]=s=>{o(s,t)},n},{}),[e,t])}function C$(e){return k.useMemo(()=>e?e2e(e):null,[e])}const CS=[];function A2e(e,t){t===void 0&&(t=Uh);const[n]=e,r=C$(n?or(n):null),[i,o]=k.useReducer(a,CS),s=h1({callback:o});return e.length>0&&i===CS&&o(),io(()=>{e.length?e.forEach(l=>s==null?void 0:s.observe(l)):(s==null||s.disconnect(),o())},[e]),i;function a(){return e.length?e.map(l=>g$(l)?r:new x3(t(l),l)):CS}}function T$(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return Vh(t)?t:e}function k2e(e){let{measure:t}=e;const[n,r]=k.useState(null),i=k.useCallback(u=>{for(const{target:c}of u)if(Vh(c)){r(d=>{const f=t(c);return d?{...d,width:f.width,height:f.height}:f});break}},[t]),o=h1({callback:i}),s=k.useCallback(u=>{const c=T$(u);o==null||o.disconnect(),c&&(o==null||o.observe(c)),r(c?t(c):null)},[t,o]),[a,l]=my(s);return k.useMemo(()=>({nodeRef:a,rect:n,setRef:l}),[n,a,l])}const R2e=[{sensor:_$,options:{}},{sensor:S$,options:{}}],O2e={current:{}},Ig={draggable:{measure:_8},droppable:{measure:_8,strategy:Zf.WhileDragging,frequency:lw.Optimized},dragOverlay:{measure:Uh}};class $d extends Map{get(t){var n;return t!=null&&(n=super.get(t))!=null?n:void 0}toArray(){return Array.from(this.values())}getEnabled(){return this.toArray().filter(t=>{let{disabled:n}=t;return!n})}getNodeFor(t){var n,r;return(n=(r=this.get(t))==null?void 0:r.node.current)!=null?n:void 0}}const M2e={activatorEvent:null,active:null,activeNode:null,activeNodeRect:null,collisions:null,containerNodeRect:null,draggableNodes:new Map,droppableRects:new Map,droppableContainers:new $d,over:null,dragOverlay:{nodeRef:{current:null},rect:null,setRef:by},scrollableAncestors:[],scrollableAncestorRects:[],measuringConfiguration:Ig,measureDroppableContainers:by,windowRect:null,measuringScheduled:!1},E$={activatorEvent:null,activators:[],active:null,activeNodeRect:null,ariaDescribedById:{draggable:""},dispatch:by,draggableNodes:new Map,over:null,measureDroppableContainers:by},Gh=k.createContext(E$),P$=k.createContext(M2e);function I2e(){return{draggable:{active:null,initialCoordinates:{x:0,y:0},nodes:new Map,translate:{x:0,y:0}},droppable:{containers:new $d}}}function N2e(e,t){switch(t.type){case tn.DragStart:return{...e,draggable:{...e.draggable,initialCoordinates:t.initialCoordinates,active:t.active}};case tn.DragMove:return e.draggable.active?{...e,draggable:{...e.draggable,translate:{x:t.coordinates.x-e.draggable.initialCoordinates.x,y:t.coordinates.y-e.draggable.initialCoordinates.y}}}:e;case tn.DragEnd:case tn.DragCancel:return{...e,draggable:{...e.draggable,active:null,initialCoordinates:{x:0,y:0},translate:{x:0,y:0}}};case tn.RegisterDroppable:{const{element:n}=t,{id:r}=n,i=new $d(e.droppable.containers);return i.set(r,n),{...e,droppable:{...e.droppable,containers:i}}}case tn.SetDroppableDisabled:{const{id:n,key:r,disabled:i}=t,o=e.droppable.containers.get(n);if(!o||r!==o.key)return e;const s=new $d(e.droppable.containers);return s.set(n,{...o,disabled:i}),{...e,droppable:{...e.droppable,containers:s}}}case tn.UnregisterDroppable:{const{id:n,key:r}=t,i=e.droppable.containers.get(n);if(!i||r!==i.key)return e;const o=new $d(e.droppable.containers);return o.delete(n),{...e,droppable:{...e.droppable,containers:o}}}default:return e}}function D2e(e){let{disabled:t}=e;const{active:n,activatorEvent:r,draggableNodes:i}=k.useContext(Gh),o=yy(r),s=yy(n==null?void 0:n.id);return k.useEffect(()=>{if(!t&&!r&&o&&s!=null){if(!_3(o)||document.activeElement===o.target)return;const a=i.get(s);if(!a)return;const{activatorNode:l,node:u}=a;if(!l.current&&!u.current)return;requestAnimationFrame(()=>{for(const c of[l.current,u.current]){if(!c)continue;const d=P_e(c);if(d){d.focus();break}}})}},[r,t,i,s,o]),null}function A$(e,t){let{transform:n,...r}=t;return e!=null&&e.length?e.reduce((i,o)=>o({transform:i,...r}),n):n}function L2e(e){return k.useMemo(()=>({draggable:{...Ig.draggable,...e==null?void 0:e.draggable},droppable:{...Ig.droppable,...e==null?void 0:e.droppable},dragOverlay:{...Ig.dragOverlay,...e==null?void 0:e.dragOverlay}}),[e==null?void 0:e.draggable,e==null?void 0:e.droppable,e==null?void 0:e.dragOverlay])}function $2e(e){let{activeNode:t,measure:n,initialRect:r,config:i=!0}=e;const o=k.useRef(!1),{x:s,y:a}=typeof i=="boolean"?{x:i,y:i}:i;io(()=>{if(!s&&!a||!t){o.current=!1;return}if(o.current||!r)return;const u=t==null?void 0:t.node.current;if(!u||u.isConnected===!1)return;const c=n(u),d=c$(c,r);if(s||(d.x=0),a||(d.y=0),o.current=!0,Math.abs(d.x)>0||Math.abs(d.y)>0){const f=f$(u);f&&f.scrollBy({top:d.y,left:d.x})}},[t,s,a,r,n])}const p1=k.createContext({...Ei,scaleX:1,scaleY:1});var hs;(function(e){e[e.Uninitialized=0]="Uninitialized",e[e.Initializing=1]="Initializing",e[e.Initialized=2]="Initialized"})(hs||(hs={}));const F2e=k.memo(function(t){var n,r,i,o;let{id:s,accessibility:a,autoScroll:l=!0,children:u,sensors:c=R2e,collisionDetection:d=q_e,measuring:f,modifiers:h,...p}=t;const m=k.useReducer(N2e,void 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X2e={position:"fixed",touchAction:"none"},Y2e=e=>_3(e)?"transform 250ms ease":void 0,Q2e=k.forwardRef((e,t)=>{let{as:n,activatorEvent:r,adjustScale:i,children:o,className:s,rect:a,style:l,transform:u,transition:c=Y2e}=e;if(!a)return null;const d=i?u:{...u,scaleX:1,scaleY:1},f={...X2e,width:a.width,height:a.height,top:a.top,left:a.left,transform:Qf.Transform.toString(d),transformOrigin:i&&r?j_e(r,a):void 0,transition:typeof c=="function"?c(r):c,...l};return Xe.createElement(n,{className:s,style:f,ref:t},o)}),Z2e=e=>t=>{let{active:n,dragOverlay:r}=t;const i={},{styles:o,className:s}=e;if(o!=null&&o.active)for(const[a,l]of Object.entries(o.active))l!==void 0&&(i[a]=n.node.style.getPropertyValue(a),n.node.style.setProperty(a,l));if(o!=null&&o.dragOverlay)for(const[a,l]of Object.entries(o.dragOverlay))l!==void 0&&r.node.style.setProperty(a,l);return s!=null&&s.active&&n.node.classList.add(s.active),s!=null&&s.dragOverlay&&r.node.classList.add(s.dragOverlay),function(){for(const[l,u]of 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iwe=Xe.memo(e=>{let{adjustScale:t=!1,children:n,dropAnimation:r,style:i,transition:o,modifiers:s,wrapperElement:a="div",className:l,zIndex:u=999}=e;const{activatorEvent:c,active:d,activeNodeRect:f,containerNodeRect:h,draggableNodes:p,droppableContainers:m,dragOverlay:S,over:y,measuringConfiguration:v,scrollableAncestors:g,scrollableAncestorRects:b,windowRect:_}=z2e(),w=k.useContext(p1),x=rwe(d==null?void 0:d.id),T=A$(s,{activatorEvent:c,active:d,activeNodeRect:f,containerNodeRect:h,draggingNodeRect:S.rect,over:y,overlayNodeRect:S.rect,scrollableAncestors:g,scrollableAncestorRects:b,transform:w,windowRect:_}),P=T3(f),E=twe({config:r,draggableNodes:p,droppableContainers:m,measuringConfiguration:v}),A=P?S.setRef:void 0;return Xe.createElement(K2e,null,Xe.createElement(q2e,{animation:E},d&&x?Xe.createElement(Q2e,{key:x,id:d.id,ref:A,as:a,activatorEvent:c,adjustScale:t,className:l,transition:o,rect:P,style:{zIndex:u,...i},transform:T},n):null))}),owe=e=>{let{activatorEvent:t,draggingNodeRect:n,transform:r}=e;if(n&&t){const i=Yf(t);if(!i)return r;const o=i.x-n.left,s=i.y-n.top;return{...r,x:r.x+o-n.width/2,y:r.y+s-n.height/2}}return r},k$=()=>uk(),G4e=tk,Yp=28,O8={w:Yp,h:Yp,maxW:Yp,maxH:Yp,shadow:"dark-lg",borderRadius:"lg",opacity:.3,bg:"base.800",color:"base.50",_dark:{borderColor:"base.200",bg:"base.900",color:"base.100"}},swe=e=>{if(!e.dragData)return null;if(e.dragData.payloadType==="IMAGE_DTO"){const{thumbnail_url:t,width:n,height:r}=e.dragData.payload.imageDTO;return K.jsx(d3,{sx:{position:"relative",width:"100%",height:"100%",display:"flex",alignItems:"center",justifyContent:"center",userSelect:"none",cursor:"none"},children:K.jsx(c3,{sx:{...O8},objectFit:"contain",src:t,width:n,height:r})})}return e.dragData.payloadType==="IMAGE_NAMES"?K.jsxs(f3,{sx:{cursor:"none",userSelect:"none",position:"relative",alignItems:"center",justifyContent:"center",flexDir:"column",...O8},children:[K.jsx(X2,{children:e.dragData.payload.image_names.length}),K.jsx(X2,{size:"sm",children:"Images"})]}):null},awe=k.memo(swe);function H4e(e){return H2e(e)}function q4e(e){return V2e(e)}const W4e=(e,t)=>{if(!e||!(t!=null&&t.data.current))return!1;const{actionType:n}=e,{payloadType:r}=t.data.current;if(e.id===t.data.current.id)return!1;switch(n){case"SET_CURRENT_IMAGE":return r==="IMAGE_DTO";case"SET_INITIAL_IMAGE":return r==="IMAGE_DTO";case"SET_CONTROLNET_IMAGE":return r==="IMAGE_DTO";case"SET_CANVAS_INITIAL_IMAGE":return r==="IMAGE_DTO";case"SET_NODES_IMAGE":return r==="IMAGE_DTO";case"SET_MULTI_NODES_IMAGE":return r==="IMAGE_DTO"||"IMAGE_NAMES";case"ADD_TO_BATCH":return r==="IMAGE_DTO"||"IMAGE_NAMES";case"MOVE_BOARD":{if(!(r==="IMAGE_DTO"||"IMAGE_NAMES"))return!1;if(r==="IMAGE_DTO"){const{imageDTO:o}=t.data.current.payload,s=o.board_id,a=e.context.boardId;return!(s===a)&&(s?!0:a)}return r!=="IMAGE_NAMES"}default:return!1}};function lwe(e){return K.jsx(F2e,{...e})}const uwe=e=>{const[t,n]=k.useState(null),r=k$(),i=k.useCallback(u=>{console.log("dragStart",u.active.data.current);const c=u.active.data.current;c&&n(c)},[]),o=k.useCallback(u=>{var d;console.log("dragEnd",u.active.data.current);const c=(d=u.over)==null?void 0:d.data.current;!t||!c||(r(rN({overData:c,activeData:t})),n(null))},[t,r]),s=S8(w$,{activationConstraint:{distance:10}}),a=S8(x$,{activationConstraint:{distance:10}}),l=F_e(s,a);return 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new file mode 100644
index 0000000000..e7d24e43fd
--- /dev/null
+++ b/invokeai/frontend/web/dist/assets/index-de589048.js
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+ * @license React
+ * react.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var Yg=Symbol.for("react.element"),GY=Symbol.for("react.portal"),HY=Symbol.for("react.fragment"),WY=Symbol.for("react.strict_mode"),qY=Symbol.for("react.profiler"),KY=Symbol.for("react.provider"),XY=Symbol.for("react.context"),YY=Symbol.for("react.forward_ref"),QY=Symbol.for("react.suspense"),ZY=Symbol.for("react.memo"),JY=Symbol.for("react.lazy"),xP=Symbol.iterator;function eQ(e){return e===null||typeof e!="object"?null:(e=xP&&e[xP]||e["@@iterator"],typeof e=="function"?e:null)}var S7={isMounted:function(){return!1},enqueueForceUpdate:function(){},enqueueReplaceState:function(){},enqueueSetState:function(){}},w7=Object.assign,x7={};function Lf(e,t,n){this.props=e,this.context=t,this.refs=x7,this.updater=n||S7}Lf.prototype.isReactComponent={};Lf.prototype.setState=function(e,t){if(typeof e!="object"&&typeof e!="function"&&e!=null)throw Error("setState(...): takes an object of state variables to update or a function which returns an object of state variables.");this.updater.enqueueSetState(this,e,t,"setState")};Lf.prototype.forceUpdate=function(e){this.updater.enqueueForceUpdate(this,e,"forceUpdate")};function C7(){}C7.prototype=Lf.prototype;function Q5(e,t,n){this.props=e,this.context=t,this.refs=x7,this.updater=n||S7}var Z5=Q5.prototype=new C7;Z5.constructor=Q5;w7(Z5,Lf.prototype);Z5.isPureReactComponent=!0;var CP=Array.isArray,T7=Object.prototype.hasOwnProperty,J5={current:null},E7={key:!0,ref:!0,__self:!0,__source:!0};function A7(e,t,n){var r,i={},o=null,s=null;if(t!=null)for(r in t.ref!==void 0&&(s=t.ref),t.key!==void 0&&(o=""+t.key),t)T7.call(t,r)&&!E7.hasOwnProperty(r)&&(i[r]=t[r]);var a=arguments.length-2;if(a===1)i.children=n;else if(1<a){for(var l=Array(a),u=0;u<a;u++)l[u]=arguments[u+2];i.children=l}if(e&&e.defaultProps)for(r in a=e.defaultProps,a)i[r]===void 0&&(i[r]=a[r]);return{$$typeof:Yg,type:e,key:o,ref:s,props:i,_owner:J5.current}}function tQ(e,t){return{$$typeof:Yg,type:e.type,key:t,ref:e.ref,props:e.props,_owner:e._owner}}function e4(e){return typeof e=="object"&&e!==null&&e.$$typeof===Yg}function nQ(e){var t={"=":"=0",":":"=2"};return"$"+e.replace(/[=:]/g,function(n){return t[n]})}var TP=/\/+/g;function Aw(e,t){return typeof e=="object"&&e!==null&&e.key!=null?nQ(""+e.key):t.toString(36)}function Y0(e,t,n,r,i){var o=typeof e;(o==="undefined"||o==="boolean")&&(e=null);var s=!1;if(e===null)s=!0;else switch(o){case"string":case"number":s=!0;break;case"object":switch(e.$$typeof){case Yg:case GY:s=!0}}if(s)return s=e,i=i(s),e=r===""?"."+Aw(s,0):r,CP(i)?(n="",e!=null&&(n=e.replace(TP,"$&/")+"/"),Y0(i,t,n,"",function(u){return u})):i!=null&&(e4(i)&&(i=tQ(i,n+(!i.key||s&&s.key===i.key?"":(""+i.key).replace(TP,"$&/")+"/")+e)),t.push(i)),1;if(s=0,r=r===""?".":r+":",CP(e))for(var a=0;a<e.length;a++){o=e[a];var l=r+Aw(o,a);s+=Y0(o,t,n,l,i)}else if(l=eQ(e),typeof l=="function")for(e=l.call(e),a=0;!(o=e.next()).done;)o=o.value,l=r+Aw(o,a++),s+=Y0(o,t,n,l,i);else if(o==="object")throw t=String(e),Error("Objects are not valid as a React child (found: "+(t==="[object Object]"?"object with keys {"+Object.keys(e).join(", ")+"}":t)+"). 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+ * @license React
+ * react-jsx-runtime.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var oQ=L,sQ=Symbol.for("react.element"),aQ=Symbol.for("react.fragment"),lQ=Object.prototype.hasOwnProperty,uQ=oQ.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED.ReactCurrentOwner,cQ={key:!0,ref:!0,__self:!0,__source:!0};function P7(e,t,n){var r,i={},o=null,s=null;n!==void 0&&(o=""+n),t.key!==void 0&&(o=""+t.key),t.ref!==void 0&&(s=t.ref);for(r in t)lQ.call(t,r)&&!cQ.hasOwnProperty(r)&&(i[r]=t[r]);if(e&&e.defaultProps)for(r in t=e.defaultProps,t)i[r]===void 0&&(i[r]=t[r]);return{$$typeof:sQ,type:e,key:o,ref:s,props:i,_owner:uQ.current}}x_.Fragment=aQ;x_.jsx=P7;x_.jsxs=P7;_7.exports=x_;var ue=_7.exports,mC={},R7={exports:{}},Yi={},O7={exports:{}},k7={};/**
+ * @license React
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+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
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input";break;case me.custom:n="Invalid input";break;case me.invalid_intersection_types:n="Intersection results could not be merged";break;case me.not_multiple_of:n=`Number must be a multiple of ${e.multipleOf}`;break;case me.not_finite:n="Number must be finite";break;default:n=t.defaultError,St.assertNever(e)}return{message:n}};let zD=cg;function ale(e){zD=e}function f1(){return zD}const h1=e=>{const{data:t,path:n,errorMaps:r,issueData:i}=e,o=[...n,...i.path||[]],s={...i,path:o};let a="";const l=r.filter(u=>!!u).slice().reverse();for(const u of l)a=u(s,{data:t,defaultError:a}).message;return{...i,path:o,message:i.message||a}},lle=[];function Te(e,t){const n=h1({issueData:t,data:e.data,path:e.path,errorMaps:[e.common.contextualErrorMap,e.schemaErrorMap,f1(),cg].filter(r=>!!r)});e.common.issues.push(n)}class Wr{constructor(){this.value="valid"}dirty(){this.value==="valid"&&(this.value="dirty")}abort(){this.value!=="aborted"&&(this.value="aborted")}static mergeArray(t,n){const r=[];for(const i of n){if(i.status==="aborted")return je;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return Wr.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:s}=i;if(o.status==="aborted"||s.status==="aborted")return je;o.status==="dirty"&&t.dirty(),s.status==="dirty"&&t.dirty(),(typeof s.value<"u"||i.alwaysSet)&&(r[o.value]=s.value)}return{status:t.value,value:r}}}const je=Object.freeze({status:"aborted"}),VD=e=>({status:"dirty",value:e}),li=e=>({status:"valid",value:e}),E3=e=>e.status==="aborted",A3=e=>e.status==="dirty",p1=e=>e.status==="valid",g1=e=>typeof Promise<"u"&&e instanceof Promise;var Le;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(Le||(Le={}));class Ms{constructor(t,n,r,i){this._cachedPath=[],this.parent=t,this.data=n,this._path=r,this._key=i}get path(){return this._cachedPath.length||(this._key instanceof Array?this._cachedPath.push(...this._path,...this._key):this._cachedPath.push(...this._path,this._key)),this._cachedPath}}const k9=(e,t)=>{if(p1(t))return{success:!0,data:t.value};if(!e.common.issues.length)throw new Error("Validation failed but no issues detected.");return{success:!1,get error(){if(this._error)return this._error;const n=new Ko(e.common.issues);return this._error=n,this._error}}};function Qe(e){if(!e)return{};const{errorMap:t,invalid_type_error:n,required_error:r,description:i}=e;if(t&&(n||r))throw new Error(`Can't use "invalid_type_error" or "required_error" in conjunction with custom error map.`);return t?{errorMap:t,description:i}:{errorMap:(s,a)=>s.code!=="invalid_type"?{message:a.defaultError}:typeof a.data>"u"?{message:r??a.defaultError}:{message:n??a.defaultError},description:i}}class tt{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return ml(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:ml(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new Wr,ctx:{common:t.parent.common,data:t.data,parsedType:ml(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(g1(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:ml(t)},o=this._parseSync({data:t,path:i.path,parent:i});return k9(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:ml(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(g1(i)?i:Promise.resolve(i));return k9(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const s=t(i),a=()=>o.addIssue({code:me.custom,...r(i)});return typeof Promise<"u"&&s instanceof Promise?s.then(l=>l?!0:(a(),!1)):s?!0:(a(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new es({schema:this,typeName:Ue.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return va.create(this,this._def)}nullable(){return ic.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return Xo.create(this,this._def)}promise(){return xf.create(this,this._def)}or(t){return pg.create([this,t],this._def)}and(t){return gg.create(this,t,this._def)}transform(t){return new es({...Qe(this._def),schema:this,typeName:Ue.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new bg({...Qe(this._def),innerType:this,defaultValue:n,typeName:Ue.ZodDefault})}brand(){return new GD({typeName:Ue.ZodBranded,type:this,...Qe(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new _1({...Qe(this._def),innerType:this,catchValue:n,typeName:Ue.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return hm.create(this,t)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const ule=/^c[^\s-]{8,}$/i,cle=/^[a-z][a-z0-9]*$/,dle=/[0-9A-HJKMNP-TV-Z]{26}/,fle=/^([a-f0-9]{8}-[a-f0-9]{4}-[1-5][a-f0-9]{3}-[a-f0-9]{4}-[a-f0-9]{12}|00000000-0000-0000-0000-000000000000)$/i,hle=/^(([^<>()[\]\\.,;:\s@\"]+(\.[^<>()[\]\\.,;:\s@\"]+)*)|(\".+\"))@((\[(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\])|(\[IPv6:(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))\])|([A-Za-z0-9]([A-Za-z0-9-]*[A-Za-z0-9])*(\.[A-Za-z]{2,})+))$/,ple=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,gle=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,mle=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,yle=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function vle(e,t){return!!((t==="v4"||!t)&&gle.test(e)||(t==="v6"||!t)&&mle.test(e))}class Go extends tt{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:me.invalid_string,...Le.errToObj(r)}),this.nonempty=t=>this.min(1,Le.errToObj(t)),this.trim=()=>new Go({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new Go({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new Go({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==xe.string){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.string,received:o.parsedType}),je}const r=new Wr;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?Te(i,{code:me.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&Te(i,{code:me.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")hle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"email",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")ple.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"emoji",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")fle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"uuid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")ule.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"cuid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")cle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"cuid2",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")dle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"ulid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),Te(i,{validation:"url",code:me.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"regex",code:me.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?yle(o).test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?vle(t.data,o.version)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"ip",code:me.invalid_string,message:o.message}),r.dirty()):St.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new Go({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...Le.errToObj(t)})}url(t){return this._addCheck({kind:"url",...Le.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...Le.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...Le.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...Le.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...Le.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...Le.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...Le.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...Le.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...Le.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...Le.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...Le.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...Le.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...Le.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...Le.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...Le.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Go.create=e=>{var t;return new Go({checks:[],typeName:Ue.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Qe(e)})};function _le(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class Ul extends tt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==xe.number){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.number,received:o.parsedType}),je}let r;const i=new Wr;for(const o of this._def.checks)o.kind==="int"?St.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Te(r,{code:me.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?_le(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_finite,message:o.message}),i.dirty()):St.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Le.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Le.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Le.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Le.toString(n))}setLimit(t,n,r,i){return new Ul({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Le.toString(i)}]})}_addCheck(t){return new Ul({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:Le.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:Le.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:Le.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:Le.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:Le.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Le.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:Le.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:Le.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:Le.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&St.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}Ul.create=e=>new Ul({checks:[],typeName:Ue.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...Qe(e)});class zl extends tt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==xe.bigint){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.bigint,received:o.parsedType}),je}let r;const i=new Wr;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):St.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Le.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Le.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Le.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Le.toString(n))}setLimit(t,n,r,i){return new zl({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Le.toString(i)}]})}_addCheck(t){return new zl({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:Le.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:Le.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:Le.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:Le.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Le.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}zl.create=e=>{var t;return new zl({checks:[],typeName:Ue.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Qe(e)})};class dg extends tt{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==xe.boolean){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.boolean,received:r.parsedType}),je}return li(t.data)}}dg.create=e=>new dg({typeName:Ue.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...Qe(e)});class nc extends tt{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==xe.date){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.date,received:o.parsedType}),je}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_date}),je}const r=new Wr;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):St.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new nc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:Le.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:Le.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}nc.create=e=>new nc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:Ue.ZodDate,...Qe(e)});class m1 extends tt{_parse(t){if(this._getType(t)!==xe.symbol){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.symbol,received:r.parsedType}),je}return li(t.data)}}m1.create=e=>new m1({typeName:Ue.ZodSymbol,...Qe(e)});class fg extends tt{_parse(t){if(this._getType(t)!==xe.undefined){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.undefined,received:r.parsedType}),je}return li(t.data)}}fg.create=e=>new fg({typeName:Ue.ZodUndefined,...Qe(e)});class hg extends tt{_parse(t){if(this._getType(t)!==xe.null){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.null,received:r.parsedType}),je}return li(t.data)}}hg.create=e=>new hg({typeName:Ue.ZodNull,...Qe(e)});class wf extends tt{constructor(){super(...arguments),this._any=!0}_parse(t){return li(t.data)}}wf.create=e=>new wf({typeName:Ue.ZodAny,...Qe(e)});class ju extends tt{constructor(){super(...arguments),this._unknown=!0}_parse(t){return li(t.data)}}ju.create=e=>new ju({typeName:Ue.ZodUnknown,...Qe(e)});class Ra extends tt{_parse(t){const n=this._getOrReturnCtx(t);return Te(n,{code:me.invalid_type,expected:xe.never,received:n.parsedType}),je}}Ra.create=e=>new Ra({typeName:Ue.ZodNever,...Qe(e)});class y1 extends tt{_parse(t){if(this._getType(t)!==xe.undefined){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.void,received:r.parsedType}),je}return li(t.data)}}y1.create=e=>new y1({typeName:Ue.ZodVoid,...Qe(e)});class Xo extends tt{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==xe.array)return Te(n,{code:me.invalid_type,expected:xe.array,received:n.parsedType}),je;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(Te(n,{code:s?me.too_big:me.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(Te(n,{code:me.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(Te(n,{code:me.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new Ms(n,s,n.path,a)))).then(s=>Wr.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new Ms(n,s,n.path,a)));return Wr.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Xo({...this._def,minLength:{value:t,message:Le.toString(n)}})}max(t,n){return new Xo({...this._def,maxLength:{value:t,message:Le.toString(n)}})}length(t,n){return new Xo({...this._def,exactLength:{value:t,message:Le.toString(n)}})}nonempty(t){return this.min(1,t)}}Xo.create=(e,t)=>new Xo({type:e,minLength:null,maxLength:null,exactLength:null,typeName:Ue.ZodArray,...Qe(t)});function yd(e){if(e instanceof gn){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=va.create(yd(r))}return new gn({...e._def,shape:()=>t})}else return e instanceof Xo?new Xo({...e._def,type:yd(e.element)}):e instanceof va?va.create(yd(e.unwrap())):e instanceof ic?ic.create(yd(e.unwrap())):e instanceof Ns?Ns.create(e.items.map(t=>yd(t))):e}class gn extends tt{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=St.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==xe.object){const u=this._getOrReturnCtx(t);return Te(u,{code:me.invalid_type,expected:xe.object,received:u.parsedType}),je}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof Ra&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const d=o[u],f=i.data[u];l.push({key:{status:"valid",value:u},value:d._parse(new Ms(i,f,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof Ra){const u=this._def.unknownKeys;if(u==="passthrough")for(const d of a)l.push({key:{status:"valid",value:d},value:{status:"valid",value:i.data[d]}});else if(u==="strict")a.length>0&&(Te(i,{code:me.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const d of a){const f=i.data[d];l.push({key:{status:"valid",value:d},value:u._parse(new Ms(i,f,i.path,d)),alwaysSet:d in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const d of l){const f=await d.key;u.push({key:f,value:await d.value,alwaysSet:d.alwaysSet})}return u}).then(u=>Wr.mergeObjectSync(r,u)):Wr.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return Le.errToObj,new gn({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=Le.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new gn({...this._def,unknownKeys:"strip"})}passthrough(){return new gn({...this._def,unknownKeys:"passthrough"})}extend(t){return new gn({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new gn({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:Ue.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new gn({...this._def,catchall:t})}pick(t){const n={};return St.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new gn({...this._def,shape:()=>n})}omit(t){const n={};return St.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new gn({...this._def,shape:()=>n})}deepPartial(){return yd(this)}partial(t){const n={};return St.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new gn({...this._def,shape:()=>n})}required(t){const n={};return St.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof va;)o=o._def.innerType;n[r]=o}}),new gn({...this._def,shape:()=>n})}keyof(){return jD(St.objectKeys(this.shape))}}gn.create=(e,t)=>new gn({shape:()=>e,unknownKeys:"strip",catchall:Ra.create(),typeName:Ue.ZodObject,...Qe(t)});gn.strictCreate=(e,t)=>new gn({shape:()=>e,unknownKeys:"strict",catchall:Ra.create(),typeName:Ue.ZodObject,...Qe(t)});gn.lazycreate=(e,t)=>new gn({shape:e,unknownKeys:"strip",catchall:Ra.create(),typeName:Ue.ZodObject,...Qe(t)});class pg extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new Ko(a.ctx.common.issues));return Te(n,{code:me.invalid_union,unionErrors:s}),je}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},d=l._parseSync({data:n.data,path:n.path,parent:u});if(d.status==="valid")return d;d.status==="dirty"&&!o&&(o={result:d,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new Ko(l));return Te(n,{code:me.invalid_union,unionErrors:a}),je}}get options(){return this._def.options}}pg.create=(e,t)=>new pg({options:e,typeName:Ue.ZodUnion,...Qe(t)});const cv=e=>e instanceof yg?cv(e.schema):e instanceof es?cv(e.innerType()):e instanceof vg?[e.value]:e instanceof Vl?e.options:e instanceof _g?Object.keys(e.enum):e instanceof bg?cv(e._def.innerType):e instanceof fg?[void 0]:e instanceof hg?[null]:null;class ib extends tt{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.object)return Te(n,{code:me.invalid_type,expected:xe.object,received:n.parsedType}),je;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(Te(n,{code:me.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),je)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=cv(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new ib({typeName:Ue.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...Qe(r)})}}function P3(e,t){const n=ml(e),r=ml(t);if(e===t)return{valid:!0,data:e};if(n===xe.object&&r===xe.object){const i=St.objectKeys(t),o=St.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=P3(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===xe.array&&r===xe.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=P3(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===xe.date&&r===xe.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class gg extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(E3(o)||E3(s))return je;const a=P3(o.value,s.value);return a.valid?((A3(o)||A3(s))&&n.dirty(),{status:n.value,value:a.data}):(Te(r,{code:me.invalid_intersection_types}),je)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}gg.create=(e,t,n)=>new gg({left:e,right:t,typeName:Ue.ZodIntersection,...Qe(n)});class Ns extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.array)return Te(r,{code:me.invalid_type,expected:xe.array,received:r.parsedType}),je;if(r.data.length<this._def.items.length)return Te(r,{code:me.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),je;!this._def.rest&&r.data.length>this._def.items.length&&(Te(r,{code:me.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new Ms(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>Wr.mergeArray(n,s)):Wr.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new Ns({...this._def,rest:t})}}Ns.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new Ns({items:e,typeName:Ue.ZodTuple,rest:null,...Qe(t)})};class mg extends tt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.object)return Te(r,{code:me.invalid_type,expected:xe.object,received:r.parsedType}),je;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new Ms(r,a,r.path,a)),value:s._parse(new Ms(r,r.data[a],r.path,a))});return r.common.async?Wr.mergeObjectAsync(n,i):Wr.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof tt?new mg({keyType:t,valueType:n,typeName:Ue.ZodRecord,...Qe(r)}):new mg({keyType:Go.create(),valueType:t,typeName:Ue.ZodRecord,...Qe(n)})}}class v1 extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.map)return Te(r,{code:me.invalid_type,expected:xe.map,received:r.parsedType}),je;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new Ms(r,a,r.path,[u,"key"])),value:o._parse(new Ms(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,d=await l.value;if(u.status==="aborted"||d.status==="aborted")return je;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,d=l.value;if(u.status==="aborted"||d.status==="aborted")return je;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}}}}v1.create=(e,t,n)=>new v1({valueType:t,keyType:e,typeName:Ue.ZodMap,...Qe(n)});class rc extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.set)return Te(r,{code:me.invalid_type,expected:xe.set,received:r.parsedType}),je;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(Te(r,{code:me.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(Te(r,{code:me.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const d of l){if(d.status==="aborted")return je;d.status==="dirty"&&n.dirty(),u.add(d.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new Ms(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new rc({...this._def,minSize:{value:t,message:Le.toString(n)}})}max(t,n){return new rc({...this._def,maxSize:{value:t,message:Le.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}rc.create=(e,t)=>new rc({valueType:e,minSize:null,maxSize:null,typeName:Ue.ZodSet,...Qe(t)});class Jd extends tt{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.function)return Te(n,{code:me.invalid_type,expected:xe.function,received:n.parsedType}),je;function r(a,l){return h1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,f1(),cg].filter(u=>!!u),issueData:{code:me.invalid_arguments,argumentsError:l}})}function i(a,l){return h1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,f1(),cg].filter(u=>!!u),issueData:{code:me.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;return this._def.returns instanceof xf?li(async(...a)=>{const l=new Ko([]),u=await this._def.args.parseAsync(a,o).catch(p=>{throw l.addIssue(r(a,p)),l}),d=await s(...u);return await this._def.returns._def.type.parseAsync(d,o).catch(p=>{throw l.addIssue(i(d,p)),l})}):li((...a)=>{const l=this._def.args.safeParse(a,o);if(!l.success)throw new Ko([r(a,l.error)]);const u=s(...l.data),d=this._def.returns.safeParse(u,o);if(!d.success)throw new Ko([i(u,d.error)]);return d.data})}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new Jd({...this._def,args:Ns.create(t).rest(ju.create())})}returns(t){return new Jd({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new Jd({args:t||Ns.create([]).rest(ju.create()),returns:n||ju.create(),typeName:Ue.ZodFunction,...Qe(r)})}}class yg extends tt{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}yg.create=(e,t)=>new yg({getter:e,typeName:Ue.ZodLazy,...Qe(t)});class vg extends tt{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Te(n,{received:n.data,code:me.invalid_literal,expected:this._def.value}),je}return{status:"valid",value:t.data}}get value(){return this._def.value}}vg.create=(e,t)=>new vg({value:e,typeName:Ue.ZodLiteral,...Qe(t)});function jD(e,t){return new Vl({values:e,typeName:Ue.ZodEnum,...Qe(t)})}class Vl extends tt{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Te(n,{expected:St.joinValues(r),received:n.parsedType,code:me.invalid_type}),je}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Te(n,{received:n.data,code:me.invalid_enum_value,options:r}),je}return li(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return Vl.create(t)}exclude(t){return Vl.create(this.options.filter(n=>!t.includes(n)))}}Vl.create=jD;class _g extends tt{_parse(t){const n=St.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==xe.string&&r.parsedType!==xe.number){const i=St.objectValues(n);return Te(r,{expected:St.joinValues(i),received:r.parsedType,code:me.invalid_type}),je}if(n.indexOf(t.data)===-1){const i=St.objectValues(n);return Te(r,{received:r.data,code:me.invalid_enum_value,options:i}),je}return li(t.data)}get enum(){return this._def.values}}_g.create=(e,t)=>new _g({values:e,typeName:Ue.ZodNativeEnum,...Qe(t)});class xf extends tt{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.promise&&n.common.async===!1)return Te(n,{code:me.invalid_type,expected:xe.promise,received:n.parsedType}),je;const r=n.parsedType===xe.promise?n.data:Promise.resolve(n.data);return li(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}xf.create=(e,t)=>new xf({type:e,typeName:Ue.ZodPromise,...Qe(t)});class es extends tt{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===Ue.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null;if(i.type==="preprocess"){const s=i.transform(r.data);return r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}const o={addIssue:s=>{Te(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?je:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?je:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!p1(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>p1(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);St.assertNever(i)}}es.create=(e,t,n)=>new es({schema:e,typeName:Ue.ZodEffects,effect:t,...Qe(n)});es.createWithPreprocess=(e,t,n)=>new es({schema:t,effect:{type:"preprocess",transform:e},typeName:Ue.ZodEffects,...Qe(n)});class va extends tt{_parse(t){return this._getType(t)===xe.undefined?li(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}va.create=(e,t)=>new va({innerType:e,typeName:Ue.ZodOptional,...Qe(t)});class ic extends tt{_parse(t){return this._getType(t)===xe.null?li(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}ic.create=(e,t)=>new ic({innerType:e,typeName:Ue.ZodNullable,...Qe(t)});class bg extends tt{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===xe.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}bg.create=(e,t)=>new bg({innerType:e,typeName:Ue.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...Qe(t)});class _1 extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return g1(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new Ko(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new Ko(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}_1.create=(e,t)=>new _1({innerType:e,typeName:Ue.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...Qe(t)});class b1 extends tt{_parse(t){if(this._getType(t)!==xe.nan){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.nan,received:r.parsedType}),je}return{status:"valid",value:t.data}}}b1.create=e=>new b1({typeName:Ue.ZodNaN,...Qe(e)});const ble=Symbol("zod_brand");class GD extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class hm extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?je:o.status==="dirty"?(n.dirty(),VD(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?je:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new hm({in:t,out:n,typeName:Ue.ZodPipeline})}}const HD=(e,t={},n)=>e?wf.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):wf.create(),Sle={object:gn.lazycreate};var Ue;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline"})(Ue||(Ue={}));const wle=(e,t={message:`Input not instance of ${e.name}`})=>HD(n=>n instanceof e,t),WD=Go.create,qD=Ul.create,xle=b1.create,Cle=zl.create,KD=dg.create,Tle=nc.create,Ele=m1.create,Ale=fg.create,Ple=hg.create,Rle=wf.create,Ole=ju.create,kle=Ra.create,Ile=y1.create,Mle=Xo.create,Nle=gn.create,Lle=gn.strictCreate,Dle=pg.create,$le=ib.create,Fle=gg.create,Ble=Ns.create,Ule=mg.create,zle=v1.create,Vle=rc.create,jle=Jd.create,Gle=yg.create,Hle=vg.create,Wle=Vl.create,qle=_g.create,Kle=xf.create,I9=es.create,Xle=va.create,Yle=ic.create,Qle=es.createWithPreprocess,Zle=hm.create,Jle=()=>WD().optional(),eue=()=>qD().optional(),tue=()=>KD().optional(),nue={string:e=>Go.create({...e,coerce:!0}),number:e=>Ul.create({...e,coerce:!0}),boolean:e=>dg.create({...e,coerce:!0}),bigint:e=>zl.create({...e,coerce:!0}),date:e=>nc.create({...e,coerce:!0})},rue=je;var wt=Object.freeze({__proto__:null,defaultErrorMap:cg,setErrorMap:ale,getErrorMap:f1,makeIssue:h1,EMPTY_PATH:lle,addIssueToContext:Te,ParseStatus:Wr,INVALID:je,DIRTY:VD,OK:li,isAborted:E3,isDirty:A3,isValid:p1,isAsync:g1,get util(){return St},get objectUtil(){return T3},ZodParsedType:xe,getParsedType:ml,ZodType:tt,ZodString:Go,ZodNumber:Ul,ZodBigInt:zl,ZodBoolean:dg,ZodDate:nc,ZodSymbol:m1,ZodUndefined:fg,ZodNull:hg,ZodAny:wf,ZodUnknown:ju,ZodNever:Ra,ZodVoid:y1,ZodArray:Xo,ZodObject:gn,ZodUnion:pg,ZodDiscriminatedUnion:ib,ZodIntersection:gg,ZodTuple:Ns,ZodRecord:mg,ZodMap:v1,ZodSet:rc,ZodFunction:Jd,ZodLazy:yg,ZodLiteral:vg,ZodEnum:Vl,ZodNativeEnum:_g,ZodPromise:xf,ZodEffects:es,ZodTransformer:es,ZodOptional:va,ZodNullable:ic,ZodDefault:bg,ZodCatch:_1,ZodNaN:b1,BRAND:ble,ZodBranded:GD,ZodPipeline:hm,custom:HD,Schema:tt,ZodSchema:tt,late:Sle,get ZodFirstPartyTypeKind(){return Ue},coerce:nue,any:Rle,array:Mle,bigint:Cle,boolean:KD,date:Tle,discriminatedUnion:$le,effect:I9,enum:Wle,function:jle,instanceof:wle,intersection:Fle,lazy:Gle,literal:Hle,map:zle,nan:xle,nativeEnum:qle,never:kle,null:Ple,nullable:Yle,number:qD,object:Nle,oboolean:tue,onumber:eue,optional:Xle,ostring:Jle,pipeline:Zle,preprocess:Qle,promise:Kle,record:Ule,set:Vle,strictObject:Lle,string:WD,symbol:Ele,transformer:I9,tuple:Ble,undefined:Ale,union:Dle,unknown:Ole,void:Ile,NEVER:rue,ZodIssueCode:me,quotelessJson:sle,ZodError:Ko});const iue=wt.string(),nRe=e=>iue.safeParse(e).success,oue=wt.string(),rRe=e=>oue.safeParse(e).success,sue=wt.string(),iRe=e=>sue.safeParse(e).success,aue=wt.string(),oRe=e=>aue.safeParse(e).success,lue=wt.number().int().min(1),sRe=e=>lue.safeParse(e).success,uue=wt.number().min(1),aRe=e=>uue.safeParse(e).success,cue=wt.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),lRe=e=>cue.safeParse(e).success,uRe={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler Ancestral",kdpm_2_a:"KDPM 2 Ancestral"},due=wt.number().int().min(0).max(ole),cRe=e=>due.safeParse(e).success,fue=wt.number().multipleOf(8).min(64),dRe=e=>fue.safeParse(e).success,hue=wt.number().multipleOf(8).min(64),fRe=e=>hue.safeParse(e).success,pm=wt.enum(["sd-1","sd-2","sdxl","sdxl-refiner"]),bT=wt.object({model_name:wt.string().min(1),base_model:pm,model_type:wt.literal("main")}),hRe=e=>bT.safeParse(e).success,XD=wt.object({model_name:wt.string().min(1),base_model:wt.literal("sdxl-refiner"),model_type:wt.literal("main")}),pRe=e=>XD.safeParse(e).success,pue=wt.object({model_name:wt.string().min(1),base_model:pm,model_type:wt.literal("onnx")}),YD=wt.union([bT,pue]),gue=wt.object({model_name:wt.string().min(1),base_model:pm}),gRe=wt.object({model_name:wt.string().min(1),base_model:pm}),mRe=wt.object({model_name:wt.string().min(1),base_model:pm}),mue=wt.number().min(0).max(1),yRe=e=>mue.safeParse(e).success;wt.enum(["fp16","fp32"]);const yue=wt.number().min(1).max(10),vRe=e=>yue.safeParse(e).success,vue=wt.number().min(0).max(1),_Re=e=>vue.safeParse(e).success,La={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",seamBlur:16,seamSize:96,seamSteps:30,seamStrength:.7,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,shouldUseNoiseSettings:!1,steps:50,threshold:0,tileSize:32,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null},_ue=La,QD=yn({name:"generation",initialState:_ue,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=bl(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=bl(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...La}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 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O=p.payload,E=O.queryCacheKey,P=O.requestId;return f[E]&&delete f[E][P],!0}if(t.internalActions.removeQueryResult.match(p))return delete f[p.payload.queryCacheKey],!0;if(n.pending.match(p)){var M=p.meta,G=M.arg,P=M.requestId;if(G.subscribe){var U=(v=f[m=G.queryCacheKey])!=null?v:f[m]={};return U[P]=(_=(x=G.subscriptionOptions)!=null?x:U[P])!=null?_:{},!0}}if(n.rejected.match(p)){var A=p.meta,N=A.condition,G=A.arg,P=A.requestId;if(N&&G.subscribe){var U=(y=f[b=G.queryCacheKey])!=null?y:f[b]={};return U[P]=(C=(S=G.subscriptionOptions)!=null?S:U[P])!=null?C:{},!0}}return!1};return function(f,p){var g,m;if(o||(o=JSON.parse(JSON.stringify(r.currentSubscriptions))),t.util.resetApiState.match(f))return o=r.currentSubscriptions={},[!0,!1];if(t.internalActions.internal_probeSubscription.match(f)){var v=f.payload,x=v.queryCacheKey,_=v.requestId,b=!!((g=r.currentSubscriptions[x])!=null&&g[_]);return[!1,b]}var y=d(r.currentSubscriptions,f);if(y){s||(xce(function(){var 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+ * use-sync-external-store-shim.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var Cf=L;function Ace(e,t){return e===t&&(e!==0||1/e===1/t)||e!==e&&t!==t}var Pce=typeof Object.is=="function"?Object.is:Ace,Rce=Cf.useState,Oce=Cf.useEffect,kce=Cf.useLayoutEffect,Ice=Cf.useDebugValue;function Mce(e,t){var n=t(),r=Rce({inst:{value:n,getSnapshot:t}}),i=r[0].inst,o=r[1];return kce(function(){i.value=n,i.getSnapshot=t,dx(i)&&o({inst:i})},[e,n,t]),Oce(function(){return dx(i)&&o({inst:i}),e(function(){dx(i)&&o({inst:i})})},[e]),Ice(n),n}function dx(e){var t=e.getSnapshot;e=e.value;try{var n=t();return!Pce(e,n)}catch{return!0}}function Nce(e,t){return t()}var Lce=typeof window>"u"||typeof window.document>"u"||typeof window.document.createElement>"u"?Nce:Mce;v$.useSyncExternalStore=Cf.useSyncExternalStore!==void 0?Cf.useSyncExternalStore:Lce;y$.exports=v$;var Dce=y$.exports,_$={exports:{}},b$={};/**
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+ * use-sync-external-store-shim/with-selector.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var ab=L,$ce=Dce;function Fce(e,t){return e===t&&(e!==0||1/e===1/t)||e!==e&&t!==t}var Bce=typeof Object.is=="function"?Object.is:Fce,Uce=$ce.useSyncExternalStore,zce=ab.useRef,Vce=ab.useEffect,jce=ab.useMemo,Gce=ab.useDebugValue;b$.useSyncExternalStoreWithSelector=function(e,t,n,r,i){var o=zce(null);if(o.current===null){var s={hasValue:!1,value:null};o.current=s}else s=o.current;o=jce(function(){function l(g){if(!u){if(u=!0,d=g,g=r(g),i!==void 0&&s.hasValue){var m=s.value;if(i(m,g))return f=m}return f=g}if(m=f,Bce(d,g))return m;var v=r(g);return i!==void 0&&i(m,v)?m:(d=g,f=v)}var u=!1,d,f,p=n===void 0?null:n;return[function(){return l(t())},p===null?void 0:function(){return l(p())}]},[t,n,r,i]);var a=Uce(e,o[0],o[1]);return Vce(function(){s.hasValue=!0,s.value=a},[a]),Gce(a),a};_$.exports=b$;var S$=_$.exports;const Hce=dc(S$);function Wce(e){e()}let w$=Wce;const qce=e=>w$=e,Kce=()=>w$,Q9=Symbol.for(`react-redux-context-${L.version}`),Z9=globalThis;function Xce(){let e=Z9[Q9];return e||(e=L.createContext(null),Z9[Q9]=e),e}const jl=new Proxy({},new Proxy({},{get(e,t){const n=Xce();return(r,...i)=>Reflect[t](n,...i)}}));function TT(e=jl){return function(){return L.useContext(e)}}const x$=TT(),Yce=()=>{throw new Error("uSES not initialized!")};let C$=Yce;const Qce=e=>{C$=e},Zce=(e,t)=>e===t;function Jce(e=jl){const t=e===jl?x$:TT(e);return function(r,i={}){const{equalityFn:o=Zce,stabilityCheck:s=void 0,noopCheck:a=void 0}=typeof i=="function"?{equalityFn:i}:i,{store:l,subscription:u,getServerState:d,stabilityCheck:f,noopCheck:p}=t();L.useRef(!0);const g=L.useCallback({[r.name](v){return r(v)}}[r.name],[r,f,s]),m=C$(u.addNestedSub,l.getState,d||l.getState,g,o);return L.useDebugValue(m),m}}const T$=Jce();function A1(){return A1=Object.assign?Object.assign.bind():function(e){for(var t=1;t<arguments.length;t++){var n=arguments[t];for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(e[r]=n[r])}return e},A1.apply(this,arguments)}var E$={exports:{}},$t={};/** @license React v16.13.1
+ * react-is.production.min.js
+ *
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+ * LICENSE file in the root directory of this source tree.
+ */var mr=typeof Symbol=="function"&&Symbol.for,ET=mr?Symbol.for("react.element"):60103,AT=mr?Symbol.for("react.portal"):60106,lb=mr?Symbol.for("react.fragment"):60107,ub=mr?Symbol.for("react.strict_mode"):60108,cb=mr?Symbol.for("react.profiler"):60114,db=mr?Symbol.for("react.provider"):60109,fb=mr?Symbol.for("react.context"):60110,PT=mr?Symbol.for("react.async_mode"):60111,hb=mr?Symbol.for("react.concurrent_mode"):60111,pb=mr?Symbol.for("react.forward_ref"):60112,gb=mr?Symbol.for("react.suspense"):60113,ede=mr?Symbol.for("react.suspense_list"):60120,mb=mr?Symbol.for("react.memo"):60115,yb=mr?Symbol.for("react.lazy"):60116,tde=mr?Symbol.for("react.block"):60121,nde=mr?Symbol.for("react.fundamental"):60117,rde=mr?Symbol.for("react.responder"):60118,ide=mr?Symbol.for("react.scope"):60119;function Zi(e){if(typeof e=="object"&&e!==null){var t=e.$$typeof;switch(t){case ET:switch(e=e.type,e){case PT:case hb:case lb:case cb:case ub:case gb:return e;default:switch(e=e&&e.$$typeof,e){case fb:case pb:case yb:case mb:case db:return e;default:return t}}case AT:return t}}}function A$(e){return Zi(e)===hb}$t.AsyncMode=PT;$t.ConcurrentMode=hb;$t.ContextConsumer=fb;$t.ContextProvider=db;$t.Element=ET;$t.ForwardRef=pb;$t.Fragment=lb;$t.Lazy=yb;$t.Memo=mb;$t.Portal=AT;$t.Profiler=cb;$t.StrictMode=ub;$t.Suspense=gb;$t.isAsyncMode=function(e){return A$(e)||Zi(e)===PT};$t.isConcurrentMode=A$;$t.isContextConsumer=function(e){return Zi(e)===fb};$t.isContextProvider=function(e){return Zi(e)===db};$t.isElement=function(e){return typeof e=="object"&&e!==null&&e.$$typeof===ET};$t.isForwardRef=function(e){return Zi(e)===pb};$t.isFragment=function(e){return Zi(e)===lb};$t.isLazy=function(e){return Zi(e)===yb};$t.isMemo=function(e){return Zi(e)===mb};$t.isPortal=function(e){return Zi(e)===AT};$t.isProfiler=function(e){return Zi(e)===cb};$t.isStrictMode=function(e){return Zi(e)===ub};$t.isSuspense=function(e){return Zi(e)===gb};$t.isValidElementType=function(e){return typeof e=="string"||typeof e=="function"||e===lb||e===hb||e===cb||e===ub||e===gb||e===ede||typeof e=="object"&&e!==null&&(e.$$typeof===yb||e.$$typeof===mb||e.$$typeof===db||e.$$typeof===fb||e.$$typeof===pb||e.$$typeof===nde||e.$$typeof===rde||e.$$typeof===ide||e.$$typeof===tde)};$t.typeOf=Zi;E$.exports=$t;var ode=E$.exports,P$=ode,sde={$$typeof:!0,render:!0,defaultProps:!0,displayName:!0,propTypes:!0},ade={$$typeof:!0,compare:!0,defaultProps:!0,displayName:!0,propTypes:!0,type:!0},R$={};R$[P$.ForwardRef]=sde;R$[P$.Memo]=ade;var Vt={};/**
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+ * react-is.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
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0?arguments[1]:{ns:["translation"],defaultNS:"translation"};super(),this.data=t||{},this.options=n,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.options.ignoreJSONStructure===void 0&&(this.options.ignoreJSONStructure=!0)}addNamespaces(t){this.options.ns.indexOf(t)<0&&this.options.ns.push(t)}removeNamespaces(t){const n=this.options.ns.indexOf(t);n>-1&&this.options.ns.splice(n,1)}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};const o=i.keySeparator!==void 0?i.keySeparator:this.options.keySeparator,s=i.ignoreJSONStructure!==void 0?i.ignoreJSONStructure:this.options.ignoreJSONStructure;let a=[t,n];r&&typeof r!="string"&&(a=a.concat(r)),r&&typeof r=="string"&&(a=a.concat(o?r.split(o):r)),t.indexOf(".")>-1&&(a=t.split("."));const l=W1(this.data,a);return l||!s||typeof r!="string"?l:q1(this.data&&this.data[t]&&this.data[t][n],r,o)}addResource(t,n,r,i){let o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:{silent:!1};const 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0}getResourceBundle(t,n){return n||(n=this.options.defaultNS),this.options.compatibilityAPI==="v1"?{...this.getResource(t,n)}:this.getResource(t,n)}getDataByLanguage(t){return this.data[t]}hasLanguageSomeTranslations(t){const n=this.getDataByLanguage(t);return!!(n&&Object.keys(n)||[]).find(i=>n[i]&&Object.keys(n[i]).length>0)}toJSON(){return this.data}}var SU={processors:{},addPostProcessor(e){this.processors[e.name]=e},handle(e,t,n,r,i){return e.forEach(o=>{this.processors[o]&&(t=this.processors[o].process(t,n,r,i))}),t}};const gO={};class X1 extends eS{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};super(),Hve(["resourceStore","languageUtils","pluralResolver","interpolator","backendConnector","i18nFormat","utils"],t,this),this.options=n,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.logger=Cs.create("translator")}changeLanguage(t){t&&(this.language=t)}exists(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}};if(t==null)return!1;const r=this.resolve(t,n);return r&&r.res!==void 0}extractFromKey(t,n){let r=n.nsSeparator!==void 0?n.nsSeparator:this.options.nsSeparator;r===void 0&&(r=":");const i=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator;let o=n.ns||this.options.defaultNS||[];const s=r&&t.indexOf(r)>-1,a=!this.options.userDefinedKeySeparator&&!n.keySeparator&&!this.options.userDefinedNsSeparator&&!n.nsSeparator&&!Qve(t,r,i);if(s&&!a){const l=t.match(this.interpolator.nestingRegexp);if(l&&l.length>0)return{key:t,namespaces:o};const u=t.split(r);(r!==i||r===i&&this.options.ns.indexOf(u[0])>-1)&&(o=u.shift()),t=u.join(i)}return typeof o=="string"&&(o=[o]),{key:t,namespaces:o}}translate(t,n,r){if(typeof n!="object"&&this.options.overloadTranslationOptionHandler&&(n=this.options.overloadTranslationOptionHandler(arguments)),typeof n=="object"&&(n={...n}),n||(n={}),t==null)return"";Array.isArray(t)||(t=[String(t)]);const i=n.returnDetails!==void 0?n.returnDetails:this.options.returnDetails,o=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator,{key:s,namespaces:a}=this.extractFromKey(t[t.length-1],n),l=a[a.length-1],u=n.lng||this.language,d=n.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(u&&u.toLowerCase()==="cimode"){if(d){const S=n.nsSeparator||this.options.nsSeparator;return i?{res:`${l}${S}${s}`,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:`${l}${S}${s}`}return i?{res:s,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:s}const f=this.resolve(t,n);let p=f&&f.res;const g=f&&f.usedKey||s,m=f&&f.exactUsedKey||s,v=Object.prototype.toString.apply(p),x=["[object Number]","[object Function]","[object RegExp]"],_=n.joinArrays!==void 0?n.joinArrays:this.options.joinArrays,b=!this.i18nFormat||this.i18nFormat.handleAsObject;if(b&&p&&(typeof p!="string"&&typeof p!="boolean"&&typeof p!="number")&&x.indexOf(v)<0&&!(typeof _=="string"&&v==="[object Array]")){if(!n.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const S=this.options.returnedObjectHandler?this.options.returnedObjectHandler(g,p,{...n,ns:a}):`key '${s} (${this.language})' returned an object instead of string.`;return i?(f.res=S,f):S}if(o){const S=v==="[object Array]",C=S?[]:{},T=S?m:g;for(const E in p)if(Object.prototype.hasOwnProperty.call(p,E)){const P=`${T}${o}${E}`;C[E]=this.translate(P,{...n,joinArrays:!1,ns:a}),C[E]===P&&(C[E]=p[E])}p=C}}else if(b&&typeof _=="string"&&v==="[object Array]")p=p.join(_),p&&(p=this.extendTranslation(p,t,n,r));else{let S=!1,C=!1;const T=n.count!==void 0&&typeof n.count!="string",E=X1.hasDefaultValue(n),P=T?this.pluralResolver.getSuffix(u,n.count,n):"",k=n.ordinal&&T?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",O=n[`defaultValue${P}`]||n[`defaultValue${k}`]||n.defaultValue;!this.isValidLookup(p)&&E&&(S=!0,p=O),this.isValidLookup(p)||(C=!0,p=s);const G=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&C?void 0:p,U=E&&O!==p&&this.options.updateMissing;if(C||S||U){if(this.logger.log(U?"updateKey":"missingKey",u,l,s,U?O:p),o){const B=this.resolve(s,{...n,keySeparator:!1});B&&B.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let A=[];const N=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&N&&N[0])for(let B=0;B<N.length;B++)A.push(N[B]);else this.options.saveMissingTo==="all"?A=this.languageUtils.toResolveHierarchy(n.lng||this.language):A.push(n.lng||this.language);const F=(B,D,V)=>{const j=E&&V!==p?V:G;this.options.missingKeyHandler?this.options.missingKeyHandler(B,l,D,j,U,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(B,l,D,j,U,n),this.emit("missingKey",B,l,D,p)};this.options.saveMissing&&(this.options.saveMissingPlurals&&T?A.forEach(B=>{this.pluralResolver.getSuffixes(B,n).forEach(D=>{F([B],s+D,n[`defaultValue${D}`]||O)})}):F(A,s,O))}p=this.extendTranslation(p,t,n,f,r),C&&p===s&&this.options.appendNamespaceToMissingKey&&(p=`${l}:${s}`),(C||S)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?p=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,S?p:void 0):p=this.options.parseMissingKeyHandler(p))}return i?(f.res=p,f):p}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let d;if(u){const p=t.match(this.interpolator.nestingRegexp);d=p&&p.length}let f=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(f={...this.options.interpolation.defaultVariables,...f}),t=this.interpolator.interpolate(t,f,r.lng||this.language,r),u){const p=t.match(this.interpolator.nestingRegexp),g=p&&p.length;d<g&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var p=arguments.length,g=new Array(p),m=0;m<p;m++)g[m]=arguments[m];return o&&o[0]===g[0]&&!r.context?(s.logger.warn(`It seems you are nesting recursively key: ${g[0]} in key: ${n[0]}`),null):s.translate(...g,n)},r)),r.interpolation&&this.interpolator.reset()}const a=r.postProcess||this.options.postProcess,l=typeof a=="string"?[a]:a;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=SU.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),d=u.key;i=d;let f=u.namespaces;this.options.fallbackNS&&(f=f.concat(this.options.fallbackNS));const p=n.count!==void 0&&typeof n.count!="string",g=p&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),m=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",v=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);f.forEach(x=>{this.isValidLookup(r)||(a=x,!gO[`${v[0]}-${x}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(gO[`${v[0]}-${x}`]=!0,this.logger.warn(`key "${i}" for languages "${v.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. 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Wait for the callback or Promise to resolve before accessing it!!!")),v.forEach(_=>{if(this.isValidLookup(r))return;s=_;const b=[d];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(b,d,_,x,n);else{let S;p&&(S=this.pluralResolver.getSuffix(_,n.count,n));const C=`${this.options.pluralSeparator}zero`,T=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(p&&(b.push(d+S),n.ordinal&&S.indexOf(T)===0&&b.push(d+S.replace(T,this.options.pluralSeparator)),g&&b.push(d+C)),m){const E=`${d}${this.options.contextSeparator}${n.context}`;b.push(E),p&&(b.push(E+S),n.ordinal&&S.indexOf(T)===0&&b.push(E+S.replace(T,this.options.pluralSeparator)),g&&b.push(E+C))}}let y;for(;y=b.pop();)this.isValidLookup(r)||(o=y,r=this.getResource(_,x,y,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:s,usedNS:a}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function Ox(e){return e.charAt(0).toUpperCase()+e.slice(1)}class mO{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=Cs.create("languageUtils")}getScriptPartFromCode(t){if(t=K1(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=K1(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Ox(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Ox(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=Ox(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let 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0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const e1e=["v1","v2","v3"],t1e=["v4"],yO={zero:0,one:1,two:2,few:3,many:4,other:5};function n1e(){const e={};return Zve.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:Jve[t.fc]}})}),e}class r1e{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=Cs.create("pluralResolver"),(!this.options.compatibilityJSON||t1e.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. Will fallback to the compatibilityJSON v3 format handling.")),this.rules=n1e()}addRule(t,n){this.rules[t]=n}getRule(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(this.shouldUseIntlApi())try{return new Intl.PluralRules(K1(t),{type:n.ordinal?"ordinal":"cardinal"})}catch{return}return this.rules[t]||this.rules[this.languageUtils.getLanguagePartFromCode(t)]}needsPlural(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return this.shouldUseIntlApi()?r&&r.resolvedOptions().pluralCategories.length>1:r&&r.numbers.length>1}getPluralFormsOfKey(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};return this.getSuffixes(t,r).map(i=>`${n}${i}`)}getSuffixes(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>yO[i]-yO[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof i=="number"?`_plural_${i.toString()}`:o():this.options.compatibilityJSON==="v2"||this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1?o():this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString()}shouldUseIntlApi(){return!e1e.includes(this.options.compatibilityJSON)}}function vO(e,t,n){let r=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=qve(e,t,n);return!o&&i&&typeof n=="string"&&(o=q1(e,n,r),o===void 0&&(o=q1(t,n,r))),o}class i1e{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Cs.create("interpolator"),this.options=t,this.format=t.interpolation&&t.interpolation.format||(n=>n),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const n=t.interpolation;this.escape=n.escape!==void 0?n.escape:Xve,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?ld(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?ld(n.suffix):n.suffixEscaped||"}}",this.formatSeparator=n.formatSeparator?n.formatSeparator:n.formatSeparator||",",this.unescapePrefix=n.unescapeSuffix?"":n.unescapePrefix||"-",this.unescapeSuffix=this.unescapePrefix?"":n.unescapeSuffix||"",this.nestingPrefix=n.nestingPrefix?ld(n.nestingPrefix):n.nestingPrefixEscaped||ld("$t("),this.nestingSuffix=n.nestingSuffix?ld(n.nestingSuffix):n.nestingSuffixEscaped||ld(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${this.prefix}(.+?)${this.suffix}`;this.regexp=new RegExp(t,"g");const n=`${this.prefix}${this.unescapePrefix}(.+?)${this.unescapeSuffix}${this.suffix}`;this.regexpUnescape=new RegExp(n,"g");const r=`${this.nestingPrefix}(.+?)${this.nestingSuffix}`;this.nestingRegexp=new RegExp(r,"g")}interpolate(t,n,r,i){let o,s,a;const l=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{};function u(m){return m.replace(/\$/g,"$$$$")}const d=m=>{if(m.indexOf(this.formatSeparator)<0){const b=vO(n,l,m,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(b,void 0,r,{...i,...n,interpolationkey:m}):b}const v=m.split(this.formatSeparator),x=v.shift().trim(),_=v.join(this.formatSeparator).trim();return this.format(vO(n,l,x,this.options.keySeparator,this.options.ignoreJSONStructure),_,r,{...i,...n,interpolationkey:x})};this.resetRegExp();const f=i&&i.missingInterpolationHandler||this.options.missingInterpolationHandler,p=i&&i.interpolation&&i.interpolation.skipOnVariables!==void 0?i.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:m=>u(m)},{regex:this.regexp,safeValue:m=>this.escapeValue?u(this.escape(m)):u(m)}].forEach(m=>{for(a=0;o=m.regex.exec(t);){const v=o[1].trim();if(s=d(v),s===void 0)if(typeof f=="function"){const _=f(t,o,i);s=typeof _=="string"?_:""}else if(i&&Object.prototype.hasOwnProperty.call(i,v))s="";else if(p){s=o[0];continue}else this.logger.warn(`missed to pass in variable ${v} for interpolating ${t}`),s="";else typeof s!="string"&&!this.useRawValueToEscape&&(s=fO(s));const x=m.safeValue(s);if(t=t.replace(o[0],x),p?(m.regex.lastIndex+=s.length,m.regex.lastIndex-=o[0].length):m.regex.lastIndex=0,a++,a>=this.maxReplaces)break}}),t}nest(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i,o,s;function a(l,u){const d=this.nestingOptionsSeparator;if(l.indexOf(d)<0)return l;const f=l.split(new RegExp(`${d}[ ]*{`));let p=`{${f[1]}`;l=f[0],p=this.interpolate(p,s);const g=p.match(/'/g),m=p.match(/"/g);(g&&g.length%2===0&&!m||m.length%2!==0)&&(p=p.replace(/'/g,'"'));try{s=JSON.parse(p),u&&(s={...u,...s})}catch(v){return this.logger.warn(`failed parsing options string in nesting for key ${l}`,v),`${l}${d}${p}`}return delete s.defaultValue,l}for(;i=this.nestingRegexp.exec(t);){let l=[];s={...r},s=s.replace&&typeof s.replace!="string"?s.replace:s,s.applyPostProcessor=!1,delete s.defaultValue;let u=!1;if(i[0].indexOf(this.formatSeparator)!==-1&&!/{.*}/.test(i[1])){const d=i[1].split(this.formatSeparator).map(f=>f.trim());i[1]=d.shift(),l=d,u=!0}if(o=n(a.call(this,i[1].trim(),s),s),o&&i[0]===t&&typeof o!="string")return o;typeof o!="string"&&(o=fO(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((d,f)=>this.format(d,f,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function o1e(e){let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[a.trim()]||(n[a.trim()]=u),u==="false"&&(n[a.trim()]=!1),u==="true"&&(n[a.trim()]=!0),isNaN(u)||(n[a.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function ud(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(K1(i),o),t[s]=a),a(r)}}class s1e{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Cs.create("formatter"),this.options=t,this.formats={number:ud((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:ud((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return o=>i.format(o)}),datetime:ud((n,r)=>{const i=new Intl.DateTimeFormat(n,{...r});return o=>i.format(o)}),relativetime:ud((n,r)=>{const i=new Intl.RelativeTimeFormat(n,{...r});return o=>i.format(o,r.range||"day")}),list:ud((n,r)=>{const i=new Intl.ListFormat(n,{...r});return o=>i.format(o)})},this.init(t)}init(t){const r=(arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}}).interpolation;this.formatSeparator=r.formatSeparator?r.formatSeparator:r.formatSeparator||","}add(t,n){this.formats[t.toLowerCase().trim()]=n}addCached(t,n){this.formats[t.toLowerCase().trim()]=ud(n)}format(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return n.split(this.formatSeparator).reduce((a,l)=>{const{formatName:u,formatOptions:d}=o1e(l);if(this.formats[u]){let f=a;try{const p=i&&i.formatParams&&i.formatParams[i.interpolationkey]||{},g=p.locale||p.lng||i.locale||i.lng||r;f=this.formats[u](a,g,{...d,...i,...p})}catch(p){this.logger.warn(p)}return f}else this.logger.warn(`there was no format function for ${u}`);return a},t)}}function a1e(e,t){e.pending[t]!==void 0&&(delete e.pending[t],e.pendingCount--)}class l1e extends eS{constructor(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};super(),this.backend=t,this.store=n,this.services=r,this.languageUtils=r.languageUtils,this.options=i,this.logger=Cs.create("backendConnector"),this.waitingReads=[],this.maxParallelReads=i.maxParallelReads||10,this.readingCalls=0,this.maxRetries=i.maxRetries>=0?i.maxRetries:5,this.retryTimeout=i.retryTimeout>=1?i.retryTimeout:350,this.state={},this.queue=[],this.backend&&this.backend.init&&this.backend.init(r,i.backend,i)}queueLoad(t,n,r,i){const o={},s={},a={},l={};return t.forEach(u=>{let d=!0;n.forEach(f=>{const p=`${u}|${f}`;!r.reload&&this.store.hasResourceBundle(u,f)?this.state[p]=2:this.state[p]<0||(this.state[p]===1?s[p]===void 0&&(s[p]=!0):(this.state[p]=1,d=!1,s[p]===void 0&&(s[p]=!0),o[p]===void 0&&(o[p]=!0),l[f]===void 0&&(l[f]=!0)))}),d||(a[u]=!0)}),(Object.keys(o).length||Object.keys(s).length)&&this.queue.push({pending:s,pendingCount:Object.keys(s).length,loaded:{},errors:[],callback:i}),{toLoad:Object.keys(o),pending:Object.keys(s),toLoadLanguages:Object.keys(a),toLoadNamespaces:Object.keys(l)}}loaded(t,n,r){const i=t.split("|"),o=i[0],s=i[1];n&&this.emit("failedLoading",o,s,n),r&&this.store.addResourceBundle(o,s,r),this.state[t]=n?-1:2;const a={};this.queue.forEach(l=>{Wve(l.loaded,[o],s),a1e(l,t),n&&l.errors.push(n),l.pendingCount===0&&!l.done&&(Object.keys(l.loaded).forEach(u=>{a[u]||(a[u]={});const d=l.loaded[u];d.length&&d.forEach(f=>{a[u][f]===void 0&&(a[u][f]=!0)})}),l.done=!0,l.errors.length?l.callback(l.errors):l.callback())}),this.emit("loaded",a),this.queue=this.queue.filter(l=>!l.done)}read(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:0,o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:this.retryTimeout,s=arguments.length>5?arguments[5]:void 0;if(!t.length)return s(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:t,ns:n,fcName:r,tried:i,wait:o,callback:s});return}this.readingCalls++;const a=(u,d)=>{if(this.readingCalls--,this.waitingReads.length>0){const f=this.waitingReads.shift();this.read(f.lng,f.ns,f.fcName,f.tried,f.wait,f.callback)}if(u&&d&&i<this.maxRetries){setTimeout(()=>{this.read.call(this,t,n,r,i+1,o*2,s)},o);return}s(u,d)},l=this.backend[r].bind(this.backend);if(l.length===2){try{const u=l(t,n);u&&typeof u.then=="function"?u.then(d=>a(null,d)).catch(a):a(null,u)}catch(u){a(u)}return}return l(t,n,a)}prepareLoading(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i=arguments.length>3?arguments[3]:void 0;if(!this.backend)return this.logger.warn("No backend was added via i18next.use. Will not load resources."),i&&i();typeof t=="string"&&(t=this.languageUtils.toResolveHierarchy(t)),typeof n=="string"&&(n=[n]);const o=this.queueLoad(t,n,r,i);if(!o.toLoad.length)return o.pending.length||i(),null;o.toLoad.forEach(s=>{this.loadOne(s)})}load(t,n,r){this.prepareLoading(t,n,{},r)}reload(t,n,r){this.prepareLoading(t,n,{reload:!0},r)}loadOne(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:"";const r=t.split("|"),i=r[0],o=r[1];this.read(i,o,"read",void 0,void 0,(s,a)=>{s&&this.logger.warn(`${n}loading namespace ${o} for language ${i} failed`,s),!s&&a&&this.logger.log(`${n}loaded namespace ${o} for language ${i}`,a),this.loaded(t,s,a)})}saveMissing(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{},a=arguments.length>6&&arguments[6]!==void 0?arguments[6]:()=>{};if(this.services.utils&&this.services.utils.hasLoadedNamespace&&!this.services.utils.hasLoadedNamespace(n)){this.logger.warn(`did not save key "${r}" as the namespace "${n}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...s,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let d;u.length===5?d=u(t,n,r,i,l):d=u(t,n,r,i),d&&typeof d.then=="function"?d.then(f=>a(null,f)).catch(a):a(null,d)}catch(d){a(d)}else u(t,n,r,i,a,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function _O(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function bO(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function R0(){}function u1e(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class Mg extends eS{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=bO(t),this.services={},this.logger=Cs,this.modules={external:[]},u1e(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=_O();this.options={...i,...this.options,...bO(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(d){return d?typeof d=="function"?new d:d:null}if(!this.options.isClone){this.modules.logger?Cs.init(o(this.modules.logger),this.options):Cs.init(null,this.options);let d;this.modules.formatter?d=this.modules.formatter:typeof Intl<"u"&&(d=s1e);const f=new mO(this.options);this.store=new pO(this.options.resources,this.options);const p=this.services;p.logger=Cs,p.resourceStore=this.store,p.languageUtils=f,p.pluralResolver=new r1e(f,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),d&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(p.formatter=o(d),p.formatter.init(p,this.options),this.options.interpolation.format=p.formatter.format.bind(p.formatter)),p.interpolator=new i1e(this.options),p.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},p.backendConnector=new l1e(o(this.modules.backend),p.resourceStore,p,this.options),p.backendConnector.on("*",function(g){for(var m=arguments.length,v=new Array(m>1?m-1:0),x=1;x<m;x++)v[x-1]=arguments[x];t.emit(g,...v)}),this.modules.languageDetector&&(p.languageDetector=o(this.modules.languageDetector),p.languageDetector.init&&p.languageDetector.init(p,this.options.detection,this.options)),this.modules.i18nFormat&&(p.i18nFormat=o(this.modules.i18nFormat),p.i18nFormat.init&&p.i18nFormat.init(this)),this.translator=new X1(this.services,this.options),this.translator.on("*",function(g){for(var m=arguments.length,v=new Array(m>1?m-1:0),x=1;x<m;x++)v[x-1]=arguments[x];t.emit(g,...v)}),this.modules.external.forEach(g=>{g.init&&g.init(this)})}if(this.format=this.options.interpolation.format,r||(r=R0),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const d=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);d.length>0&&d[0]!=="dev"&&(this.options.lng=d[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is defined"),["getResource","hasResourceBundle","getResourceBundle","getDataByLanguage"].forEach(d=>{this[d]=function(){return t.store[d](...arguments)}}),["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(d=>{this[d]=function(){return t.store[d](...arguments),t}});const l=Xh(),u=()=>{const d=(f,p)=>{this.isInitialized&&!this.initializedStoreOnce&&this.logger.warn("init: i18next is already initialized. You should call init just once!"),this.isInitialized=!0,this.options.isClone||this.logger.log("initialized",this.options),this.emit("initialized",this.options),l.resolve(p),r(f,p)};if(this.languages&&this.options.compatibilityAPI!=="v1"&&!this.isInitialized)return d(null,this.t.bind(this));this.changeLanguage(this.options.lng,d)};return this.options.resources||!this.options.initImmediate?u():setTimeout(u,0),l}loadResources(t){let r=arguments.length>1&&arguments[1]!==void 0?arguments[1]:R0;const i=typeof t=="string"?t:this.language;if(typeof t=="function"&&(r=t),!this.options.resources||this.options.partialBundledLanguages){if(i&&i.toLowerCase()==="cimode")return r();const o=[],s=a=>{if(!a)return;this.services.languageUtils.toResolveHierarchy(a).forEach(u=>{o.indexOf(u)<0&&o.push(u)})};i?s(i):this.services.languageUtils.getFallbackCodes(this.options.fallbackLng).forEach(l=>s(l)),this.options.preload&&this.options.preload.forEach(a=>s(a)),this.services.backendConnector.load(o,this.options.ns,a=>{!a&&!this.resolvedLanguage&&this.language&&this.setResolvedLanguage(this.language),r(a)})}else r(null)}reloadResources(t,n,r){const i=Xh();return t||(t=this.languages),n||(n=this.options.ns),r||(r=R0),this.services.backendConnector.reload(t,n,o=>{i.resolve(),r(o)}),i}use(t){if(!t)throw new Error("You are passing an undefined module! Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&SU.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1))for(let n=0;n<this.languages.length;n++){const r=this.languages[n];if(!(["cimode","dev"].indexOf(r)>-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=Xh();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,d=>{s(d,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,d=new Array(u>2?u-2:0),f=2;f<u;f++)d[f-2]=arguments[f];l=i.options.overloadTranslationOptionHandler([s,a].concat(d))}else l={...a};l.lng=l.lng||o.lng,l.lngs=l.lngs||o.lngs,l.ns=l.ns||o.ns,l.keyPrefix=l.keyPrefix||r||o.keyPrefix;const p=i.options.keySeparator||".";let g;return l.keyPrefix&&Array.isArray(s)?g=s.map(m=>`${l.keyPrefix}${p}${m}`):g=l.keyPrefix?`${l.keyPrefix}${p}${s}`:s,i.t(g,l)};return typeof t=="string"?o.lng=t:o.lngs=t,o.ns=n,o.keyPrefix=r,o}t(){return this.translator&&this.translator.translate(...arguments)}exists(){return this.translator&&this.translator.exists(...arguments)}setDefaultNamespace(t){this.options.defaultNS=t}hasLoadedNamespace(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(!this.isInitialized)return this.logger.warn("hasLoadedNamespace: i18next was not initialized",this.languages),!1;if(!this.languages||!this.languages.length)return this.logger.warn("hasLoadedNamespace: i18n.languages were undefined or empty",this.languages),!1;const r=n.lng||this.resolvedLanguage||this.languages[0],i=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(r.toLowerCase()==="cimode")return!0;const s=(a,l)=>{const u=this.services.backendConnector.state[`${a}|${l}`];return u===-1||u===2};if(n.precheck){const a=n.precheck(this,s);if(a!==void 0)return a}return!!(this.hasResourceBundle(r,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||s(r,t)&&(!i||s(o,t)))}loadNamespaces(t,n){const r=Xh();return this.options.ns?(typeof t=="string"&&(t=[t]),t.forEach(i=>{this.options.ns.indexOf(i)<0&&this.options.ns.push(i)}),this.loadResources(i=>{r.resolve(),n&&n(i)}),r):(n&&n(),Promise.resolve())}loadLanguages(t,n){const r=Xh();typeof t=="string"&&(t=[t]);const i=this.options.preload||[],o=t.filter(s=>i.indexOf(s)<0);return o.length?(this.options.preload=i.concat(o),this.loadResources(s=>{r.resolve(),n&&n(s)}),r):(n&&n(),Promise.resolve())}dir(t){if(t||(t=this.resolvedLanguage||(this.languages&&this.languages.length>0?this.languages[0]:this.language)),!t)return"rtl";const n=["ar","shu","sqr","ssh","xaa","yhd","yud","aao","abh","abv","acm","acq","acw","acx","acy","adf","ads","aeb","aec","afb","ajp","apc","apd","arb","arq","ars","ary","arz","auz","avl","ayh","ayl","ayn","ayp","bbz","pga","he","iw","ps","pbt","pbu","pst","prp","prd","ug","ur","ydd","yds","yih","ji","yi","hbo","men","xmn","fa","jpr","peo","pes","prs","dv","sam","ckb"],r=this.services&&this.services.languageUtils||new mO(_O());return n.indexOf(r.getLanguagePartFromCode(t))>-1||t.toLowerCase().indexOf("-arab")>1?"rtl":"ltr"}static createInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;return new Mg(t,n)}cloneInstance(){let t=arguments.length>0&&arguments[0]!==void 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Kr=Mg.createInstance();Kr.createInstance=Mg.createInstance;Kr.createInstance;Kr.dir;Kr.init;Kr.loadResources;Kr.reloadResources;Kr.use;Kr.changeLanguage;Kr.getFixedT;const Pp=Kr.t;Kr.exists;Kr.setDefaultNamespace;Kr.hasLoadedNamespace;Kr.loadNamespaces;Kr.loadLanguages;const Ku=e=>typeof e=="string"?{title:e,status:"info",isClosable:!0,duration:2500}:{status:"info",isClosable:!0,duration:2500,...e},wU={isConnected:!1,isProcessing:!1,isGFPGANAvailable:!0,isESRGANAvailable:!0,shouldConfirmOnDelete:!0,currentStep:0,totalSteps:0,currentIteration:0,totalIterations:0,currentStatusHasSteps:!1,isCancelable:!0,enableImageDebugging:!1,toastQueue:[],progressImage:null,shouldAntialiasProgressImage:!1,sessionId:null,cancelType:"immediate",isCancelScheduled:!1,subscribedNodeIds:[],wereModelsReceived:!1,wasSchemaParsed:!1,consoleLogLevel:"debug",shouldLogToConsole:!0,statusTranslationKey:"common.statusDisconnected",canceledSession:"",isPersisted:!1,language:"en",isUploading:!1,isNodesEnabled:!1,shouldUseNSFWChecker:!1,shouldUseWatermarker:!1},xU=yn({name:"system",initialState:wU,reducers:{setIsProcessing:(e,t)=>{e.isProcessing=t.payload},setCurrentStatus:(e,t)=>{e.statusTranslationKey=t.payload},setShouldConfirmOnDelete:(e,t)=>{e.shouldConfirmOnDelete=t.payload},setIsCancelable:(e,t)=>{e.isCancelable=t.payload},setEnableImageDebugging:(e,t)=>{e.enableImageDebugging=t.payload},addToast:(e,t)=>{e.toastQueue.push(t.payload)},clearToastQueue:e=>{e.toastQueue=[]},cancelScheduled:e=>{e.isCancelScheduled=!0},scheduledCancelAborted:e=>{e.isCancelScheduled=!1},cancelTypeChanged:(e,t)=>{e.cancelType=t.payload},subscribedNodeIdsSet:(e,t)=>{e.subscribedNodeIds=t.payload},consoleLogLevelChanged:(e,t)=>{e.consoleLogLevel=t.payload},shouldLogToConsoleChanged:(e,t)=>{e.shouldLogToConsole=t.payload},shouldAntialiasProgressImageChanged:(e,t)=>{e.shouldAntialiasProgressImage=t.payload},isPersistedChanged:(e,t)=>{e.isPersisted=t.payload},languageChanged:(e,t)=>{e.language=t.payload},progressImageSet(e,t){e.progressImage=t.payload},setIsNodesEnabled(e,t){e.isNodesEnabled=t.payload},shouldUseNSFWCheckerChanged(e,t){e.shouldUseNSFWChecker=t.payload},shouldUseWatermarkerChanged(e,t){e.shouldUseWatermarker=t.payload}},extraReducers(e){e.addCase(q$,(t,n)=>{t.sessionId=n.payload.sessionId,t.canceledSession=""}),e.addCase(X$,t=>{t.sessionId=null}),e.addCase(G$,t=>{t.isConnected=!0,t.isCancelable=!0,t.isProcessing=!1,t.currentStatusHasSteps=!1,t.currentStep=0,t.totalSteps=0,t.currentIteration=0,t.totalIterations=0,t.statusTranslationKey="common.statusConnected"}),e.addCase(W$,t=>{t.isConnected=!1,t.isProcessing=!1,t.isCancelable=!0,t.currentStatusHasSteps=!1,t.currentStep=0,t.totalSteps=0,t.statusTranslationKey="common.statusDisconnected"}),e.addCase(Q$,t=>{t.isCancelable=!0,t.isProcessing=!0,t.currentStatusHasSteps=!1,t.currentStep=0,t.totalSteps=0,t.statusTranslationKey="common.statusGenerating"}),e.addCase(rF,(t,n)=>{const{step:r,total_steps:i,progress_image:o}=n.payload.data;t.isProcessing=!0,t.isCancelable=!0,t.currentStatusHasSteps=!0,t.currentStep=r+1,t.totalSteps=i,t.progressImage=o??null,t.statusTranslationKey="common.statusGenerating"}),e.addCase(Z$,(t,n)=>{const{data:r}=n.payload;t.currentStatusHasSteps=!1,t.currentStep=0,t.totalSteps=0,t.statusTranslationKey="common.statusProcessingComplete",t.canceledSession===r.graph_execution_state_id&&(t.isProcessing=!1,t.isCancelable=!0)}),e.addCase(tF,t=>{t.isProcessing=!1,t.isCancelable=!1,t.isCancelScheduled=!1,t.currentStep=0,t.totalSteps=0,t.statusTranslationKey="common.statusConnected",t.progressImage=null}),e.addCase(Em,t=>{t.isProcessing=!0,t.isCancelable=!0,t.currentStatusHasSteps=!1,t.statusTranslationKey="common.statusPreparing"}),e.addCase(mc.fulfilled,(t,n)=>{t.canceledSession=n.meta.arg.session_id,t.isProcessing=!1,t.isCancelable=!1,t.isCancelScheduled=!1,t.currentStep=0,t.totalSteps=0,t.statusTranslationKey="common.statusConnected",t.progressImage=null,t.toastQueue.push(Ku({title:Pp("toast.canceled"),status:"warning"}))}),e.addCase(oE,t=>{t.wasSchemaParsed=!0}),e.addMatcher(r$,(t,n)=>{var r;t.isProcessing=!1,t.isCancelable=!1,t.isCancelScheduled=!1,t.currentStep=0,t.totalSteps=0,t.statusTranslationKey="common.statusConnected",t.progressImage=null,t.toastQueue.push(Ku({title:Pp("toast.serverError"),status:"error",description:((r=n.payload)==null?void 0:r.status)===422?"Validation Error":void 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n=this.getCanvas();t?this.clearRect(t.x||0,t.y||0,t.width||0,t.height||0):this.clearRect(0,0,n.getWidth()/n.pixelRatio,n.getHeight()/n.pixelRatio)}_applyLineCap(t){const n=t.attrs.lineCap;n&&this.setAttr("lineCap",n)}_applyOpacity(t){var n=t.getAbsoluteOpacity();n!==1&&this.setAttr("globalAlpha",n)}_applyLineJoin(t){const n=t.attrs.lineJoin;n&&this.setAttr("lineJoin",n)}setAttr(t,n){this._context[t]=n}arc(t,n,r,i,o,s){this._context.arc(t,n,r,i,o,s)}arcTo(t,n,r,i,o){this._context.arcTo(t,n,r,i,o)}beginPath(){this._context.beginPath()}bezierCurveTo(t,n,r,i,o,s){this._context.bezierCurveTo(t,n,r,i,o,s)}clearRect(t,n,r,i){this._context.clearRect(t,n,r,i)}clip(...t){this._context.clip.apply(this._context,t)}closePath(){this._context.closePath()}createImageData(t,n){var r=arguments;if(r.length===2)return this._context.createImageData(t,n);if(r.length===1)return this._context.createImageData(t)}createLinearGradient(t,n,r,i){return this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,s){return this._context.createRadialGradient(t,n,r,i,o,s)}drawImage(t,n,r,i,o,s,a,l,u){var d=arguments,f=this._context;d.length===3?f.drawImage(t,n,r):d.length===5?f.drawImage(t,n,r,i,o):d.length===9&&f.drawImage(t,n,r,i,o,s,a,l,u)}ellipse(t,n,r,i,o,s,a,l){this._context.ellipse(t,n,r,i,o,s,a,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return this._context.getImageData(t,n,r,i)}lineTo(t,n){this._context.lineTo(t,n)}moveTo(t,n){this._context.moveTo(t,n)}rect(t,n,r,i){this._context.rect(t,n,r,i)}putImageData(t,n,r){this._context.putImageData(t,n,r)}quadraticCurveTo(t,n,r,i){this._context.quadraticCurveTo(t,n,r,i)}restore(){this._context.restore()}rotate(t){this._context.rotate(t)}save(){this._context.save()}scale(t,n){this._context.scale(t,n)}setLineDash(t){this._context.setLineDash?this._context.setLineDash(t):"mozDash"in this._context?this._context.mozDash=t:"webkitLineDash"in this._context&&(this._context.webkitLineDash=t)}getLineDash(){return this._context.getLineDash()}setTransform(t,n,r,i,o,s){this._context.setTransform(t,n,r,i,o,s)}stroke(t){t?this._context.stroke(t):this._context.stroke()}strokeText(t,n,r,i){this._context.strokeText(t,n,r,i)}transform(t,n,r,i,o,s){this._context.transform(t,n,r,i,o,s)}translate(t,n){this._context.translate(t,n)}_enableTrace(){var t=this,n=UO.length,r=this.setAttr,i,o,s=function(a){var 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n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",s=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,a=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),d=l.x*u,f=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",s*Math.min(Math.abs(d),Math.abs(f))),this.setAttr("shadowOffsetX",a.x*d),this.setAttr("shadowOffsetY",a.y*f)}}_a.SceneContext=kSe;class ISe extends oS{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}_a.HitContext=ISe;Object.defineProperty(Yo,"__esModule",{value:!0});Yo.HitCanvas=Yo.SceneCanvas=Yo.Canvas=void 0;const J1=Sn,WU=_a,qU=rt,MSe=nt,NSe=ke;var M0;function LSe(){if(M0)return M0;var e=J1.Util.createCanvasElement(),t=e.getContext("2d");return M0=function(){var n=qU.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),J1.Util.releaseCanvas(e),M0}class sS{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||qU.Konva.pixelRatio||LSe();this.pixelRatio=r,this._canvas=J1.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return J1.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}Yo.Canvas=sS;MSe.Factory.addGetterSetter(sS,"pixelRatio",void 0,(0,NSe.getNumberValidator)());class DSe extends sS{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new WU.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}Yo.SceneCanvas=DSe;class $Se extends sS{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new WU.HitContext(this),this.setSize(t.width,t.height)}}Yo.HitCanvas=$Se;var aS={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=rt,n=Sn;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(p=>p.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var d=a.dragDistance(),f=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(f<d||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(d=>d.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(aS);Object.defineProperty(fn,"__esModule",{value:!0});fn.Node=void 0;const ct=Sn,Am=nt,N0=Yo,Su=rt,uo=aS,Nn=ke;var _v="absoluteOpacity",L0="allEventListeners",aa="absoluteTransform",zO="absoluteScale",wu="canvas",FSe="Change",BSe="children",USe="konva",o5="listening",VO="mouseenter",jO="mouseleave",GO="set",HO="Shape",bv=" ",WO="stage",sl="transform",zSe="Stage",s5="visible",VSe=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(bv);let jSe=1;class ze{constructor(t){this._id=jSe++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===sl||t===aa)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===sl||t===aa,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(bv);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(wu)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===aa&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(wu)){const{scene:t,filter:n,hit:r}=this._cache.get(wu);ct.Util.releaseCanvas(t,n,r),this._cache.delete(wu)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,d=n.drawBorder||!1,f=n.hitCanvasPixelRatio||1;if(!i||!o){ct.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var p=new N0.SceneCanvas({pixelRatio:s,width:i,height:o}),g=new N0.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),m=new N0.HitCanvas({pixelRatio:f,width:i,height:o}),v=p.getContext(),x=m.getContext();return m.isCache=!0,p.isCache=!0,this._cache.delete(wu),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(p.getContext()._context.imageSmoothingEnabled=!1,g.getContext()._context.imageSmoothingEnabled=!1),v.save(),x.save(),v.translate(-a,-l),x.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(_v),this._clearSelfAndDescendantCache(zO),this.drawScene(p,this),this.drawHit(m,this),this._isUnderCache=!1,v.restore(),x.restore(),d&&(v.save(),v.beginPath(),v.rect(0,0,i,o),v.closePath(),v.setAttr("strokeStyle","red"),v.setAttr("lineWidth",5),v.stroke(),v.restore()),this._cache.set(wu,{scene:p,filter:g,hit:m,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(wu)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var d=l.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var d=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/d,r.getHeight()/d),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){ct.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(f){ct.Util.error("Unable to apply filter. "+f.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(L0),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(bv),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(bv),i=r.length,o,s,a,l,u,d;if(this._cache&&this._cache.delete(L0),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],d=l[1],u)this.eventListeners[u]&&this._off(u,d,n);else for(s in this.eventListeners)this._off(s,d,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=ct.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),uo.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(aa),this._clearSelfAndDescendantCache(_v),this._clearSelfAndDescendantCache(zO),this._clearSelfAndDescendantCache(WO),this._clearSelfAndDescendantCache(s5),this._clearSelfAndDescendantCache(o5)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+ct.Util._capitalize(t);return ct.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==BSe&&(r=GO+ct.Util._capitalize(n),ct.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(o5,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(s5,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;uo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!Su.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==HO&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==zSe&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(sl),this._clearSelfAndDescendantCache(aa)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new ct.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(sl);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(sl),this._clearSelfAndDescendantCache(aa),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return ct.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return ct.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return ct.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return ct.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return ct.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&ct.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(_v,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=ct.Util.isObject(i)&&!ct.Util._isPlainObject(i)&&!ct.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),ct.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],ct.Util.isValidSelector(o)||(ct.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),ct.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),ct.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(WO,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(aa,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new ct.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(aa)||new ct.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(sl,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(sl)||new ct.Transform;r.reset();var i=this.x(),o=this.y(),s=Su.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,d=this.attrs.skewY||0,f=this.attrs.offsetX||0,p=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||d!==0)&&r.skew(u,d),(a!==1||l!==1)&&r.scale(a,l),(f!==0||p!==0)&&r.translate(-1*f,-1*p),r.dirty=!1,r}clone(t){var n=ct.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(USe)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new N0.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,ct.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():Su.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+FSe,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[GO+ct.Util._capitalize(t)];return ct.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(Su.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!ct.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===HO&&(n.target=this);var i=(t===VO||t===jO)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===VO||t===jO)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(L0))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(L0,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;uo.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){uo.DD._dragElements.has(this._id)||this._createDragElement(t);const r=uo.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:ct.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=uo.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),uo.DD._endDragBefore(t),uo.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=uo.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||Su.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;uo.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=uo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&uo.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return ct.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return ct.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=ze.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),Su.Konva[r]||(ct.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=Su.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(ze._createNode(i[a]));return o}}fn.Node=ze;ze.prototype.nodeType="Node";ze.prototype._attrsAffectingSize=[];ze.prototype.eventListeners={};ze.prototype.on.call(ze.prototype,VSe,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(sl),this._clearSelfAndDescendantCache(aa)});ze.prototype.on.call(ze.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(s5)});ze.prototype.on.call(ze.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(o5)});ze.prototype.on.call(ze.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(_v)});const Kt=Am.Factory.addGetterSetter;Kt(ze,"zIndex");Kt(ze,"absolutePosition");Kt(ze,"position");Kt(ze,"x",0,(0,Nn.getNumberValidator)());Kt(ze,"y",0,(0,Nn.getNumberValidator)());Kt(ze,"globalCompositeOperation","source-over",(0,Nn.getStringValidator)());Kt(ze,"opacity",1,(0,Nn.getNumberValidator)());Kt(ze,"name","",(0,Nn.getStringValidator)());Kt(ze,"id","",(0,Nn.getStringValidator)());Kt(ze,"rotation",0,(0,Nn.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"scale",["x","y"]);Kt(ze,"scaleX",1,(0,Nn.getNumberValidator)());Kt(ze,"scaleY",1,(0,Nn.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"skew",["x","y"]);Kt(ze,"skewX",0,(0,Nn.getNumberValidator)());Kt(ze,"skewY",0,(0,Nn.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"offset",["x","y"]);Kt(ze,"offsetX",0,(0,Nn.getNumberValidator)());Kt(ze,"offsetY",0,(0,Nn.getNumberValidator)());Kt(ze,"dragDistance",null,(0,Nn.getNumberValidator)());Kt(ze,"width",0,(0,Nn.getNumberValidator)());Kt(ze,"height",0,(0,Nn.getNumberValidator)());Kt(ze,"listening",!0,(0,Nn.getBooleanValidator)());Kt(ze,"preventDefault",!0,(0,Nn.getBooleanValidator)());Kt(ze,"filters",null,function(e){return this._filterUpToDate=!1,e});Kt(ze,"visible",!0,(0,Nn.getBooleanValidator)());Kt(ze,"transformsEnabled","all",(0,Nn.getStringValidator)());Kt(ze,"size");Kt(ze,"dragBoundFunc");Kt(ze,"draggable",!1,(0,Nn.getBooleanValidator)());Am.Factory.backCompat(ze,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var vc={};Object.defineProperty(vc,"__esModule",{value:!0});vc.Container=void 0;const zf=nt,Dx=fn,lS=ke;class _c extends Dx.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=Dx.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=Dx.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const d=r===this;if(u){o.save();var f=this.getAbsoluteTransform(r),p=f.getMatrix();o.transform(p[0],p[1],p[2],p[3],p[4],p[5]),o.beginPath();let x;if(l)x=l.call(this,o,this);else{var g=this.clipX(),m=this.clipY();o.rect(g,m,s,a)}o.clip.apply(o,x),p=f.copy().invert().getMatrix(),o.transform(p[0],p[1],p[2],p[3],p[4],p[5])}var v=!d&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";v&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(x){x[t](n,r)}),v&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},d=this;(n=this.children)===null||n===void 0||n.forEach(function(v){if(v.visible()){var x=v.getClientRect({relativeTo:d,skipShadow:t.skipShadow,skipStroke:t.skipStroke});x.width===0&&x.height===0||(o===void 0?(o=x.x,s=x.y,a=x.x+x.width,l=x.y+x.height):(o=Math.min(o,x.x),s=Math.min(s,x.y),a=Math.max(a,x.x+x.width),l=Math.max(l,x.y+x.height)))}});for(var f=this.find("Shape"),p=!1,g=0;g<f.length;g++){var m=f[g];if(m._isVisible(this)){p=!0;break}}return p&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}vc.Container=_c;zf.Factory.addComponentsGetterSetter(_c,"clip",["x","y","width","height"]);zf.Factory.addGetterSetter(_c,"clipX",void 0,(0,lS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipY",void 0,(0,lS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipWidth",void 0,(0,lS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipHeight",void 0,(0,lS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipFunc");var KU={},Vi={};Object.defineProperty(Vi,"__esModule",{value:!0});Vi.releaseCapture=Vi.setPointerCapture=Vi.hasPointerCapture=Vi.createEvent=Vi.getCapturedShape=void 0;const GSe=rt,Lg=new Map,XU=GSe.Konva._global.PointerEvent!==void 0;function HSe(e){return Lg.get(e)}Vi.getCapturedShape=HSe;function yE(e){return{evt:e,pointerId:e.pointerId}}Vi.createEvent=yE;function WSe(e,t){return Lg.get(e)===t}Vi.hasPointerCapture=WSe;function qSe(e,t){YU(e),t.getStage()&&(Lg.set(e,t),XU&&t._fire("gotpointercapture",yE(new PointerEvent("gotpointercapture"))))}Vi.setPointerCapture=qSe;function YU(e,t){const n=Lg.get(e);if(!n)return;const r=n.getStage();r&&r.content,Lg.delete(e),XU&&n._fire("lostpointercapture",yE(new PointerEvent("lostpointercapture")))}Vi.releaseCapture=YU;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=Sn,n=nt,r=vc,i=rt,o=Yo,s=aS,a=rt,l=Vi;var u="Stage",d="string",f="px",p="mouseout",g="mouseleave",m="mouseover",v="mouseenter",x="mousemove",_="mousedown",b="mouseup",y="pointermove",S="pointerdown",C="pointerup",T="pointercancel",E="lostpointercapture",P="pointerout",k="pointerleave",O="pointerover",M="pointerenter",G="contextmenu",U="touchstart",A="touchend",N="touchmove",F="touchcancel",B="wheel",D=5,V=[[v,"_pointerenter"],[_,"_pointerdown"],[x,"_pointermove"],[b,"_pointerup"],[g,"_pointerleave"],[U,"_pointerdown"],[N,"_pointermove"],[A,"_pointerup"],[F,"_pointercancel"],[m,"_pointerover"],[B,"_wheel"],[G,"_contextmenu"],[S,"_pointerdown"],[y,"_pointermove"],[C,"_pointerup"],[T,"_pointercancel"],[E,"_lostpointercapture"]];const j={mouse:{[P]:p,[k]:g,[O]:m,[M]:v,[y]:x,[S]:_,[C]:b,[T]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[P]:"touchout",[k]:"touchleave",[O]:"touchover",[M]:"touchenter",[y]:N,[S]:U,[C]:A,[T]:F,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[P]:P,[k]:k,[O]:O,[M]:M,[y]:y,[S]:S,[C]:C,[T]:T,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},q=le=>le.indexOf("pointer")>=0?"pointer":le.indexOf("touch")>=0?"touch":"mouse",Z=le=>{const W=q(le);if(W==="pointer")return i.Konva.pointerEventsEnabled&&j.pointer;if(W==="touch")return j.touch;if(W==="mouse")return j.mouse};function ee(le={}){return(le.clipFunc||le.clipWidth||le.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),le}const ie="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class se extends r.Container{constructor(W){super(ee(W)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{ee(this.attrs)}),this._checkVisibility()}_validateAdd(W){const ne=W.getType()==="Layer",fe=W.getType()==="FastLayer";ne||fe||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const W=this.visible()?"":"none";this.content.style.display=W}setContainer(W){if(typeof W===d){if(W.charAt(0)==="."){var ne=W.slice(1);W=document.getElementsByClassName(ne)[0]}else{var fe;W.charAt(0)!=="#"?fe=W:fe=W.slice(1),W=document.getElementById(fe)}if(!W)throw"Can not find container in document with id "+fe}return this._setAttr("container",W),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),W.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var W=this.children,ne=W.length,fe;for(fe=0;fe<ne;fe++)W[fe].clear();return this}clone(W){return W||(W={}),W.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,W)}destroy(){super.destroy();var W=this.content;W&&t.Util._isInDocument(W)&&this.container().removeChild(W);var ne=e.stages.indexOf(this);return ne>-1&&e.stages.splice(ne,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const W=this._pointerPositions[0]||this._changedPointerPositions[0];return W?{x:W.x,y:W.y}:(t.Util.warn(ie),null)}_getPointerById(W){return this._pointerPositions.find(ne=>ne.id===W)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(W){W=W||{},W.x=W.x||0,W.y=W.y||0,W.width=W.width||this.width(),W.height=W.height||this.height();var ne=new o.SceneCanvas({width:W.width,height:W.height,pixelRatio:W.pixelRatio||1}),fe=ne.getContext()._context,pe=this.children;return(W.x||W.y)&&fe.translate(-1*W.x,-1*W.y),pe.forEach(function(ve){if(ve.isVisible()){var ye=ve._toKonvaCanvas(W);fe.drawImage(ye._canvas,W.x,W.y,ye.getWidth()/ye.getPixelRatio(),ye.getHeight()/ye.getPixelRatio())}}),ne}getIntersection(W){if(!W)return null;var ne=this.children,fe=ne.length,pe=fe-1,ve;for(ve=pe;ve>=0;ve--){const ye=ne[ve].getIntersection(W);if(ye)return ye}return null}_resizeDOM(){var W=this.width(),ne=this.height();this.content&&(this.content.style.width=W+f,this.content.style.height=ne+f),this.bufferCanvas.setSize(W,ne),this.bufferHitCanvas.setSize(W,ne),this.children.forEach(fe=>{fe.setSize({width:W,height:ne}),fe.draw()})}add(W,...ne){if(arguments.length>1){for(var fe=0;fe<arguments.length;fe++)this.add(arguments[fe]);return this}super.add(W);var pe=this.children.length;return pe>D&&t.Util.warn("The stage has "+pe+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),W.setSize({width:this.width(),height:this.height()}),W.draw(),i.Konva.isBrowser&&this.content.appendChild(W.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(W){return l.hasPointerCapture(W,this)}setPointerCapture(W){l.setPointerCapture(W,this)}releaseCapture(W){l.releaseCapture(W,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&V.forEach(([W,ne])=>{this.content.addEventListener(W,fe=>{this[ne](fe)},{passive:!1})})}_pointerenter(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerenter,{evt:W,target:this,currentTarget:this})}_pointerover(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this})}_getTargetShape(W){let ne=this[W+"targetShape"];return ne&&!ne.getStage()&&(ne=null),ne}_pointerleave(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=this._getTargetShape(fe),ve=!s.DD.isDragging||i.Konva.hitOnDragEnabled;pe&&ve?(pe._fireAndBubble(ne.pointerout,{evt:W}),pe._fireAndBubble(ne.pointerleave,{evt:W}),this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this[fe+"targetShape"]=null):ve&&(this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this._fire(ne.pointerout,{evt:W,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=!1;this._changedPointerPositions.forEach(ve=>{var ye=this.getIntersection(ve);if(s.DD.justDragged=!1,i.Konva["_"+fe+"ListenClick"]=!0,!(ye&&ye.isListening()))return;i.Konva.capturePointerEventsEnabled&&ye.setPointerCapture(ve.id),this[fe+"ClickStartShape"]=ye,ye._fireAndBubble(ne.pointerdown,{evt:W,pointerId:ve.id}),pe=!0;const Me=W.type.indexOf("touch")>=0;ye.preventDefault()&&W.cancelable&&Me&&W.preventDefault()}),pe||this._fire(ne.pointerdown,{evt:W,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;s.DD.isDragging&&s.DD.node.preventDefault()&&W.cancelable&&W.preventDefault(),this.setPointersPositions(W);var pe=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!pe)return;var ve={};let ye=!1;var We=this._getTargetShape(fe);this._changedPointerPositions.forEach(Me=>{const Ee=l.getCapturedShape(Me.id)||this.getIntersection(Me),lt=Me.id,_e={evt:W,pointerId:lt};var jt=We!==Ee;if(jt&&We&&(We._fireAndBubble(ne.pointerout,Object.assign({},_e),Ee),We._fireAndBubble(ne.pointerleave,Object.assign({},_e),Ee)),Ee){if(ve[Ee._id])return;ve[Ee._id]=!0}Ee&&Ee.isListening()?(ye=!0,jt&&(Ee._fireAndBubble(ne.pointerover,Object.assign({},_e),We),Ee._fireAndBubble(ne.pointerenter,Object.assign({},_e),We),this[fe+"targetShape"]=Ee),Ee._fireAndBubble(ne.pointermove,Object.assign({},_e))):We&&(this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this,pointerId:lt}),this[fe+"targetShape"]=null)}),ye||this._fire(ne.pointermove,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;this.setPointersPositions(W);const pe=this[fe+"ClickStartShape"],ve=this[fe+"ClickEndShape"];var ye={};let We=!1;this._changedPointerPositions.forEach(Me=>{const Ee=l.getCapturedShape(Me.id)||this.getIntersection(Me);if(Ee){if(Ee.releaseCapture(Me.id),ye[Ee._id])return;ye[Ee._id]=!0}const lt=Me.id,_e={evt:W,pointerId:lt};let jt=!1;i.Konva["_"+fe+"InDblClickWindow"]?(jt=!0,clearTimeout(this[fe+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+fe+"InDblClickWindow"]=!0,clearTimeout(this[fe+"DblTimeout"])),this[fe+"DblTimeout"]=setTimeout(function(){i.Konva["_"+fe+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),Ee&&Ee.isListening()?(We=!0,this[fe+"ClickEndShape"]=Ee,Ee._fireAndBubble(ne.pointerup,Object.assign({},_e)),i.Konva["_"+fe+"ListenClick"]&&pe&&pe===Ee&&(Ee._fireAndBubble(ne.pointerclick,Object.assign({},_e)),jt&&ve&&ve===Ee&&Ee._fireAndBubble(ne.pointerdblclick,Object.assign({},_e)))):(this[fe+"ClickEndShape"]=null,i.Konva["_"+fe+"ListenClick"]&&this._fire(ne.pointerclick,{evt:W,target:this,currentTarget:this,pointerId:lt}),jt&&this._fire(ne.pointerdblclick,{evt:W,target:this,currentTarget:this,pointerId:lt}))}),We||this._fire(ne.pointerup,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+fe+"ListenClick"]=!1,W.cancelable&&fe!=="touch"&&W.preventDefault()}_contextmenu(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(G,{evt:W}):this._fire(G,{evt:W,target:this,currentTarget:this})}_wheel(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(B,{evt:W}):this._fire(B,{evt:W,target:this,currentTarget:this})}_pointercancel(W){this.setPointersPositions(W);const ne=l.getCapturedShape(W.pointerId)||this.getIntersection(this.getPointerPosition());ne&&ne._fireAndBubble(C,l.createEvent(W)),l.releaseCapture(W.pointerId)}_lostpointercapture(W){l.releaseCapture(W.pointerId)}setPointersPositions(W){var ne=this._getContentPosition(),fe=null,pe=null;W=W||window.event,W.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(W.touches,ve=>{this._pointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})}),Array.prototype.forEach.call(W.changedTouches||W.touches,ve=>{this._changedPointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})})):(fe=(W.clientX-ne.left)/ne.scaleX,pe=(W.clientY-ne.top)/ne.scaleY,this.pointerPos={x:fe,y:pe},this._pointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}],this._changedPointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}])}_setPointerPosition(W){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(W)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var W=this.content.getBoundingClientRect();return{top:W.top,left:W.left,scaleX:W.width/this.content.clientWidth||1,scaleY:W.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var W=this.container();if(!W)throw"Stage has no container. A container is required.";W.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),W.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(W){W.batchDraw()}),this}}e.Stage=se,se.prototype.nodeType=u,(0,a._registerNode)(se),n.Factory.addGetterSetter(se,"container")})(KU);var Pm={},rr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=rt,n=Sn,r=nt,i=fn,o=ke,s=rt,a=Vi;var l="hasShadow",u="shadowRGBA",d="patternImage",f="linearGradient",p="radialGradient";let g;function m(){return g||(g=n.Util.createCanvasElement().getContext("2d"),g)}e.shapes={};function v(k){const O=this.attrs.fillRule;O?k.fill(O):k.fill()}function x(k){k.stroke()}function _(k){k.fill()}function b(k){k.stroke()}function y(){this._clearCache(l)}function S(){this._clearCache(u)}function C(){this._clearCache(d)}function T(){this._clearCache(f)}function E(){this._clearCache(p)}class P extends i.Node{constructor(O){super(O);let M;for(;M=n.Util.getRandomColor(),!(M&&!(M in e.shapes)););this.colorKey=M,e.shapes[M]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(d,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var O=m();const M=O.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(M&&M.setTransform){const G=new n.Transform;G.translate(this.fillPatternX(),this.fillPatternY()),G.rotate(t.Konva.getAngle(this.fillPatternRotation())),G.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),G.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const U=G.getMatrix(),A=typeof DOMMatrix>"u"?{a:U[0],b:U[1],c:U[2],d:U[3],e:U[4],f:U[5]}:new DOMMatrix(U);M.setTransform(A)}return M}}_getLinearGradient(){return this._getCache(f,this.__getLinearGradient)}__getLinearGradient(){var O=this.fillLinearGradientColorStops();if(O){for(var M=m(),G=this.fillLinearGradientStartPoint(),U=this.fillLinearGradientEndPoint(),A=M.createLinearGradient(G.x,G.y,U.x,U.y),N=0;N<O.length;N+=2)A.addColorStop(O[N],O[N+1]);return A}}_getRadialGradient(){return this._getCache(p,this.__getRadialGradient)}__getRadialGradient(){var O=this.fillRadialGradientColorStops();if(O){for(var M=m(),G=this.fillRadialGradientStartPoint(),U=this.fillRadialGradientEndPoint(),A=M.createRadialGradient(G.x,G.y,this.fillRadialGradientStartRadius(),U.x,U.y,this.fillRadialGradientEndRadius()),N=0;N<O.length;N+=2)A.addColorStop(O[N],O[N+1]);return A}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var O=n.Util.colorToRGBA(this.shadowColor());if(O)return"rgba("+O.r+","+O.g+","+O.b+","+O.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const O=this.hitStrokeWidth();return O==="auto"?this.hasStroke():this.strokeEnabled()&&!!O}intersects(O){var M=this.getStage(),G=M.bufferHitCanvas,U;return G.getContext().clear(),this.drawHit(G,null,!0),U=G.context.getImageData(Math.round(O.x),Math.round(O.y),1,1).data,U[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(O){var M;if(!this.getStage()||!((M=this.attrs.perfectDrawEnabled)!==null&&M!==void 0?M:!0))return!1;const U=O||this.hasFill(),A=this.hasStroke(),N=this.getAbsoluteOpacity()!==1;if(U&&A&&N)return!0;const F=this.hasShadow(),B=this.shadowForStrokeEnabled();return!!(U&&A&&F&&B)}setStrokeHitEnabled(O){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),O?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var O=this.size();return{x:this._centroid?-O.width/2:0,y:this._centroid?-O.height/2:0,width:O.width,height:O.height}}getClientRect(O={}){const M=O.skipTransform,G=O.relativeTo,U=this.getSelfRect(),N=!O.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,F=U.width+N,B=U.height+N,D=!O.skipShadow&&this.hasShadow(),V=D?this.shadowOffsetX():0,j=D?this.shadowOffsetY():0,q=F+Math.abs(V),Z=B+Math.abs(j),ee=D&&this.shadowBlur()||0,ie=q+ee*2,se=Z+ee*2,le={width:ie,height:se,x:-(N/2+ee)+Math.min(V,0)+U.x,y:-(N/2+ee)+Math.min(j,0)+U.y};return M?le:this._transformedRect(le,G)}drawScene(O,M){var G=this.getLayer(),U=O||G.getCanvas(),A=U.getContext(),N=this._getCanvasCache(),F=this.getSceneFunc(),B=this.hasShadow(),D,V,j,q=U.isCache,Z=M===this;if(!this.isVisible()&&!Z)return this;if(N){A.save();var ee=this.getAbsoluteTransform(M).getMatrix();return A.transform(ee[0],ee[1],ee[2],ee[3],ee[4],ee[5]),this._drawCachedSceneCanvas(A),A.restore(),this}if(!F)return this;if(A.save(),this._useBufferCanvas()&&!q){D=this.getStage(),V=D.bufferCanvas,j=V.getContext(),j.clear(),j.save(),j._applyLineJoin(this);var ie=this.getAbsoluteTransform(M).getMatrix();j.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),F.call(this,j,this),j.restore();var se=V.pixelRatio;B&&A._applyShadow(this),A._applyOpacity(this),A._applyGlobalCompositeOperation(this),A.drawImage(V._canvas,0,0,V.width/se,V.height/se)}else{if(A._applyLineJoin(this),!Z){var ie=this.getAbsoluteTransform(M).getMatrix();A.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),A._applyOpacity(this),A._applyGlobalCompositeOperation(this)}B&&A._applyShadow(this),F.call(this,A,this)}return A.restore(),this}drawHit(O,M,G=!1){if(!this.shouldDrawHit(M,G))return this;var U=this.getLayer(),A=O||U.hitCanvas,N=A&&A.getContext(),F=this.hitFunc()||this.sceneFunc(),B=this._getCanvasCache(),D=B&&B.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),D){N.save();var V=this.getAbsoluteTransform(M).getMatrix();return N.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedHitCanvas(N),N.restore(),this}if(!F)return this;if(N.save(),N._applyLineJoin(this),!(this===M)){var q=this.getAbsoluteTransform(M).getMatrix();N.transform(q[0],q[1],q[2],q[3],q[4],q[5])}return F.call(this,N,this),N.restore(),this}drawHitFromCache(O=0){var M=this._getCanvasCache(),G=this._getCachedSceneCanvas(),U=M.hit,A=U.getContext(),N=U.getWidth(),F=U.getHeight(),B,D,V,j,q,Z;A.clear(),A.drawImage(G._canvas,0,0,N,F);try{for(B=A.getImageData(0,0,N,F),D=B.data,V=D.length,j=n.Util._hexToRgb(this.colorKey),q=0;q<V;q+=4)Z=D[q+3],Z>O?(D[q]=j.r,D[q+1]=j.g,D[q+2]=j.b,D[q+3]=255):D[q+3]=0;A.putImageData(B,0,0)}catch(ee){n.Util.error("Unable to draw hit graph from cached scene canvas. "+ee.message)}return this}hasPointerCapture(O){return a.hasPointerCapture(O,this)}setPointerCapture(O){a.setPointerCapture(O,this)}releaseCapture(O){a.releaseCapture(O,this)}}e.Shape=P,P.prototype._fillFunc=v,P.prototype._strokeFunc=x,P.prototype._fillFuncHit=_,P.prototype._strokeFuncHit=b,P.prototype._centroid=!1,P.prototype.nodeType="Shape",(0,s._registerNode)(P),P.prototype.eventListeners={},P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",y),P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",S),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",C),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",T),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",E),r.Factory.addGetterSetter(P,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(P,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(P,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"lineJoin"),r.Factory.addGetterSetter(P,"lineCap"),r.Factory.addGetterSetter(P,"sceneFunc"),r.Factory.addGetterSetter(P,"hitFunc"),r.Factory.addGetterSetter(P,"dash"),r.Factory.addGetterSetter(P,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(P,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(P,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternImage"),r.Factory.addGetterSetter(P,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(P,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(P,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(P,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(P,"fillEnabled",!0),r.Factory.addGetterSetter(P,"strokeEnabled",!0),r.Factory.addGetterSetter(P,"shadowEnabled",!0),r.Factory.addGetterSetter(P,"dashEnabled",!0),r.Factory.addGetterSetter(P,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(P,"fillPriority","color"),r.Factory.addComponentsGetterSetter(P,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(P,"fillPatternRotation",0),r.Factory.addGetterSetter(P,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(P,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(rr);Object.defineProperty(Pm,"__esModule",{value:!0});Pm.Layer=void 0;const ra=Sn,$x=vc,hd=fn,vE=nt,qO=Yo,KSe=ke,XSe=rr,YSe=rt;var QSe="#",ZSe="beforeDraw",JSe="draw",QU=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],e2e=QU.length;class Vf extends $x.Container{constructor(t){super(t),this.canvas=new qO.SceneCanvas,this.hitCanvas=new qO.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){hd.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=hd.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(hd.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(hd.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return hd.Node.prototype.remove.call(this),t&&t.parentNode&&ra.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&ra.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),hd.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){ra.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){ra.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,ra.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<e2e;i++){const o=QU[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=ra.Util._rgbToHex(r[0],r[1],r[2]),s=XSe.shapes[QSe+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(ZSe,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),$x.Container.prototype.drawScene.call(this,i,n),this._fire(JSe,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),$x.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){ra.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return ra.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return ra.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Pm.Layer=Vf;Vf.prototype.nodeType="Layer";(0,YSe._registerNode)(Vf);vE.Factory.addGetterSetter(Vf,"imageSmoothingEnabled",!0);vE.Factory.addGetterSetter(Vf,"clearBeforeDraw",!0);vE.Factory.addGetterSetter(Vf,"hitGraphEnabled",!0,(0,KSe.getBooleanValidator)());var uS={};Object.defineProperty(uS,"__esModule",{value:!0});uS.FastLayer=void 0;const t2e=Sn,n2e=Pm,r2e=rt;class _E extends n2e.Layer{constructor(t){super(t),this.listening(!1),t2e.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}uS.FastLayer=_E;_E.prototype.nodeType="FastLayer";(0,r2e._registerNode)(_E);var jf={};Object.defineProperty(jf,"__esModule",{value:!0});jf.Group=void 0;const i2e=Sn,o2e=vc,s2e=rt;class bE extends o2e.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&i2e.Util.throw("You may only add groups and shapes to groups.")}}jf.Group=bE;bE.prototype.nodeType="Group";(0,s2e._registerNode)(bE);var Gf={};Object.defineProperty(Gf,"__esModule",{value:!0});Gf.Animation=void 0;const Fx=rt,KO=Sn;var Bx=function(){return Fx.glob.performance&&Fx.glob.performance.now?function(){return Fx.glob.performance.now()}:function(){return new Date().getTime()}}();class ws{constructor(t,n){this.id=ws.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Bx(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=ws,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=Bx(),ws._addAnimation(this),this}stop(){return ws._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,d,f;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(Bx()),l=i.length,o?f=o.call(r,r.frame)!==!1:f=!0,!!f)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(d in t)t.hasOwnProperty(d)&&t[d].batchDraw()}static _animationLoop(){var t=ws;t.animations.length?(t._runFrames(),KO.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,KO.Util.requestAnimFrame(this._animationLoop))}}Gf.Animation=ws;ws.animations=[];ws.animIdCounter=0;ws.animRunning=!1;var ZU={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=Sn,n=Gf,r=fn,i=rt;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,d=["fill","stroke","shadowColor"];class f{constructor(m,v,x,_,b,y,S){this.prop=m,this.propFunc=v,this.begin=_,this._pos=_,this.duration=y,this._change=0,this.prevPos=0,this.yoyo=S,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=x,this._change=b-this.begin,this.pause()}fire(m){var v=this[m];v&&v()}setTime(m){m>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():m<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=m,this.update())}getTime(){return this._time}setPosition(m){this.prevPos=this._pos,this.propFunc(m),this._pos=m}getPosition(m){return m===void 0&&(m=this._time),this.func(m,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(m){this.pause(),this._time=m,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var m=this.getTimer()-this._startTime;this.state===a?this.setTime(m):this.state===l&&this.setTime(this.duration-m)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class p{constructor(m){var v=this,x=m.node,_=x._id,b,y=m.easing||e.Easings.Linear,S=!!m.yoyo,C;typeof m.duration>"u"?b=.3:m.duration===0?b=.001:b=m.duration,this.node=x,this._id=u++;var T=x.getLayer()||(x instanceof i.Konva.Stage?x.getLayers():null);T||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){v.tween.onEnterFrame()},T),this.tween=new f(C,function(E){v._tweenFunc(E)},y,0,1,b*1e3,S),this._addListeners(),p.attrs[_]||(p.attrs[_]={}),p.attrs[_][this._id]||(p.attrs[_][this._id]={}),p.tweens[_]||(p.tweens[_]={});for(C in m)o[C]===void 0&&this._addAttr(C,m[C]);this.reset(),this.onFinish=m.onFinish,this.onReset=m.onReset,this.onUpdate=m.onUpdate}_addAttr(m,v){var x=this.node,_=x._id,b,y,S,C,T,E,P,k;if(S=p.tweens[_][m],S&&delete p.attrs[_][S][m],b=x.getAttr(m),t.Util._isArray(v))if(y=[],T=Math.max(v.length,b.length),m==="points"&&v.length!==b.length&&(v.length>b.length?(P=b,b=t.Util._prepareArrayForTween(b,v,x.closed())):(E=v,v=t.Util._prepareArrayForTween(v,b,x.closed()))),m.indexOf("fill")===0)for(C=0;C<T;C++)if(C%2===0)y.push(v[C]-b[C]);else{var O=t.Util.colorToRGBA(b[C]);k=t.Util.colorToRGBA(v[C]),b[C]=O,y.push({r:k.r-O.r,g:k.g-O.g,b:k.b-O.b,a:k.a-O.a})}else for(C=0;C<T;C++)y.push(v[C]-b[C]);else d.indexOf(m)!==-1?(b=t.Util.colorToRGBA(b),k=t.Util.colorToRGBA(v),y={r:k.r-b.r,g:k.g-b.g,b:k.b-b.b,a:k.a-b.a}):y=v-b;p.attrs[_][this._id][m]={start:b,diff:y,end:v,trueEnd:E,trueStart:P},p.tweens[_][m]=this._id}_tweenFunc(m){var v=this.node,x=p.attrs[v._id][this._id],_,b,y,S,C,T,E,P;for(_ in x){if(b=x[_],y=b.start,S=b.diff,P=b.end,t.Util._isArray(y))if(C=[],E=Math.max(y.length,P.length),_.indexOf("fill")===0)for(T=0;T<E;T++)T%2===0?C.push((y[T]||0)+S[T]*m):C.push("rgba("+Math.round(y[T].r+S[T].r*m)+","+Math.round(y[T].g+S[T].g*m)+","+Math.round(y[T].b+S[T].b*m)+","+(y[T].a+S[T].a*m)+")");else for(T=0;T<E;T++)C.push((y[T]||0)+S[T]*m);else d.indexOf(_)!==-1?C="rgba("+Math.round(y.r+S.r*m)+","+Math.round(y.g+S.g*m)+","+Math.round(y.b+S.b*m)+","+(y.a+S.a*m)+")":C=y+S*m;v.setAttr(_,C)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var m=this.node,v=p.attrs[m._id][this._id];v.points&&v.points.trueEnd&&m.setAttr("points",v.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var m=this.node,v=p.attrs[m._id][this._id];v.points&&v.points.trueStart&&m.points(v.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(m){return this.tween.seek(m*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var m=this.node._id,v=this._id,x=p.tweens[m],_;this.pause();for(_ in x)delete p.tweens[m][_];delete p.attrs[m][v]}}e.Tween=p,p.attrs={},p.tweens={},r.Node.prototype.to=function(g){var m=g.onFinish;g.node=this,g.onFinish=function(){this.destroy(),m&&m()};var v=new p(g);v.play()},e.Easings={BackEaseIn(g,m,v,x){var _=1.70158;return v*(g/=x)*g*((_+1)*g-_)+m},BackEaseOut(g,m,v,x){var _=1.70158;return v*((g=g/x-1)*g*((_+1)*g+_)+1)+m},BackEaseInOut(g,m,v,x){var _=1.70158;return(g/=x/2)<1?v/2*(g*g*(((_*=1.525)+1)*g-_))+m:v/2*((g-=2)*g*(((_*=1.525)+1)*g+_)+2)+m},ElasticEaseIn(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x)===1?m+v:(b||(b=x*.3),!_||_<Math.abs(v)?(_=v,y=b/4):y=b/(2*Math.PI)*Math.asin(v/_),-(_*Math.pow(2,10*(g-=1))*Math.sin((g*x-y)*(2*Math.PI)/b))+m)},ElasticEaseOut(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x)===1?m+v:(b||(b=x*.3),!_||_<Math.abs(v)?(_=v,y=b/4):y=b/(2*Math.PI)*Math.asin(v/_),_*Math.pow(2,-10*g)*Math.sin((g*x-y)*(2*Math.PI)/b)+v+m)},ElasticEaseInOut(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x/2)===2?m+v:(b||(b=x*(.3*1.5)),!_||_<Math.abs(v)?(_=v,y=b/4):y=b/(2*Math.PI)*Math.asin(v/_),g<1?-.5*(_*Math.pow(2,10*(g-=1))*Math.sin((g*x-y)*(2*Math.PI)/b))+m:_*Math.pow(2,-10*(g-=1))*Math.sin((g*x-y)*(2*Math.PI)/b)*.5+v+m)},BounceEaseOut(g,m,v,x){return(g/=x)<1/2.75?v*(7.5625*g*g)+m:g<2/2.75?v*(7.5625*(g-=1.5/2.75)*g+.75)+m:g<2.5/2.75?v*(7.5625*(g-=2.25/2.75)*g+.9375)+m:v*(7.5625*(g-=2.625/2.75)*g+.984375)+m},BounceEaseIn(g,m,v,x){return v-e.Easings.BounceEaseOut(x-g,0,v,x)+m},BounceEaseInOut(g,m,v,x){return g<x/2?e.Easings.BounceEaseIn(g*2,0,v,x)*.5+m:e.Easings.BounceEaseOut(g*2-x,0,v,x)*.5+v*.5+m},EaseIn(g,m,v,x){return v*(g/=x)*g+m},EaseOut(g,m,v,x){return-v*(g/=x)*(g-2)+m},EaseInOut(g,m,v,x){return(g/=x/2)<1?v/2*g*g+m:-v/2*(--g*(g-2)-1)+m},StrongEaseIn(g,m,v,x){return v*(g/=x)*g*g*g*g+m},StrongEaseOut(g,m,v,x){return v*((g=g/x-1)*g*g*g*g+1)+m},StrongEaseInOut(g,m,v,x){return(g/=x/2)<1?v/2*g*g*g*g*g+m:v/2*((g-=2)*g*g*g*g+2)+m},Linear(g,m,v,x){return v*g/x+m}}})(ZU);(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Konva=void 0;const t=rt,n=Sn,r=fn,i=vc,o=KU,s=Pm,a=uS,l=jf,u=aS,d=rr,f=Gf,p=ZU,g=_a,m=Yo;e.Konva=n.Util._assign(t.Konva,{Util:n.Util,Transform:n.Transform,Node:r.Node,Container:i.Container,Stage:o.Stage,stages:o.stages,Layer:s.Layer,FastLayer:a.FastLayer,Group:l.Group,DD:u.DD,Shape:d.Shape,shapes:d.shapes,Animation:f.Animation,Tween:p.Tween,Easings:p.Easings,Context:g.Context,Canvas:m.Canvas}),e.default=e.Konva})(GU);var cS={};Object.defineProperty(cS,"__esModule",{value:!0});cS.Arc=void 0;const dS=nt,a2e=rr,XO=rt,fS=ke,l2e=rt;class Ba extends a2e.Shape{_sceneFunc(t){var n=XO.Konva.getAngle(this.angle()),r=this.clockwise();t.beginPath(),t.arc(0,0,this.outerRadius(),0,n,r),t.arc(0,0,this.innerRadius(),n,0,!r),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return 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a=s[0],l=s[1],u=s[2],d=s[3],f=s[4],p=s[5],g=s[6],m=s[7],v=u>d?u:d,x=u>d?1:u/d,_=u>d?d/u:1;t.translate(a,l),t.rotate(g),t.scale(x,_),t.arc(0,0,v,f,f+p,1-m),t.scale(1/x,1/_),t.rotate(-g),t.translate(-a,-l);break;case"z":r=!0,t.closePath();break}}!r&&!this.hasFill()?t.strokeShape(this):t.fillStrokeShape(this)}getSelfRect(){var t=[];this.dataArray.forEach(function(u){if(u.command==="A"){var d=u.points[4],f=u.points[5],p=u.points[4]+f,g=Math.PI/180;if(Math.abs(d-p)<g&&(g=Math.abs(d-p)),f<0)for(let m=d-g;m>p;m-=g){const v=Qn.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],m,0);t.push(v.x,v.y)}else for(let m=d+g;m<p;m+=g){const v=Qn.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],m,0);t.push(v.x,v.y)}}else if(u.command==="C")for(let m=0;m<=1;m+=.01){const v=Qn.getPointOnCubicBezier(m,u.start.x,u.start.y,u.points[0],u.points[1],u.points[2],u.points[3],u.points[4],u.points[5]);t.push(v.x,v.y)}else t=t.concat(u.points)});for(var n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],isNaN(s)||(n=Math.min(n,s),r=Math.max(r,s)),isNaN(a)||(i=Math.min(i,a),o=Math.max(o,a));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return Qn.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return Qn.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return Qn.getPointOnCubicBezier((0,pd.t2length)(t,Qn.getPathLength(n),v=>(0,pd.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return Qn.getPointOnQuadraticBezier((0,pd.t2length)(t,Qn.getPathLength(n),v=>(0,pd.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],d=a[2],f=a[3],p=a[4],g=a[5],m=a[6];return p+=g*t/s.pathLength,Qn.getPointOnEllipticalArc(l,u,d,f,p,m)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var d=l*u,f;if(i===n)f={x:s,y:a+d};else if((a-r)/(s-n+1e-8)===l)f={x:s+u,y:a+d};else{var p,g,m=this.getLineLength(n,r,i,o),v=(s-n)*(i-n)+(a-r)*(o-r);v=v/(m*m),p=n+v*(i-n),g=r+v*(o-r);var x=this.getLineLength(s,a,p,g),_=Math.sqrt(t*t-x*x);u=Math.sqrt(_*_/(1+l*l)),i<n&&(u*=-1),d=l*u,f={x:p+u,y:g+d}}return f}static getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function d(x){return x*x*x}function f(x){return 3*x*x*(1-x)}function p(x){return 3*x*(1-x)*(1-x)}function g(x){return(1-x)*(1-x)*(1-x)}var m=l*d(t)+s*f(t)+i*p(t)+n*g(t),v=u*d(t)+a*f(t)+o*p(t)+r*g(t);return{x:m,y:v}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(g){return g*g}function u(g){return 2*g*(1-g)}function d(g){return(1-g)*(1-g)}var f=s*l(t)+i*u(t)+n*d(t),p=a*l(t)+o*u(t)+r*d(t);return{x:f,y:p}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,d=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,f;for(i=1;i<o.length;i++){var p=o[i],g=p.charAt(0);for(p=p.slice(1),a.length=0;f=d.exec(p);)a.push(f[0]);for(var m=[],v=0,x=a.length;v<x;v++){if(a[v]==="00"){m.push(0,0);continue}var _=parseFloat(a[v]);isNaN(_)?m.push(0):m.push(_)}for(;m.length>0&&!isNaN(m[0]);){var b=null,y=[],S=l,C=u,T,E,P,k,O,M,G,U,A,N;switch(g){case"l":l+=m.shift(),u+=m.shift(),b="L",y.push(l,u);break;case"L":l=m.shift(),u=m.shift(),y.push(l,u);break;case"m":var F=m.shift(),B=m.shift();if(l+=F,u+=B,b="M",s.length>2&&s[s.length-1].command==="z"){for(var D=s.length-2;D>=0;D--)if(s[D].command==="M"){l=s[D].points[0]+F,u=s[D].points[1]+B;break}}y.push(l,u),g="l";break;case"M":l=m.shift(),u=m.shift(),b="M",y.push(l,u),g="L";break;case"h":l+=m.shift(),b="L",y.push(l,u);break;case"H":l=m.shift(),b="L",y.push(l,u);break;case"v":u+=m.shift(),b="L",y.push(l,u);break;case"V":u=m.shift(),b="L",y.push(l,u);break;case"C":y.push(m.shift(),m.shift(),m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"c":y.push(l+m.shift(),u+m.shift(),l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"S":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,m.shift(),m.shift()),l=m.shift(),u=m.shift(),b="C",y.push(l,u);break;case"s":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"Q":y.push(m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"q":y.push(l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="Q",y.push(l,u);break;case"T":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l=m.shift(),u=m.shift(),b="Q",y.push(E,P,l,u);break;case"t":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l+=m.shift(),u+=m.shift(),b="Q",y.push(E,P,l,u);break;case"A":k=m.shift(),O=m.shift(),M=m.shift(),G=m.shift(),U=m.shift(),A=l,N=u,l=m.shift(),u=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,G,U,k,O,M);break;case"a":k=m.shift(),O=m.shift(),M=m.shift(),G=m.shift(),U=m.shift(),A=l,N=u,l+=m.shift(),u+=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,G,U,k,O,M);break}s.push({command:b||g,points:y,start:{x:S,y:C},pathLength:this.calcLength(S,C,b||g,y)})}(g==="z"||g==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=Qn;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,pd.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,pd.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var d=i[4],f=i[5],p=i[4]+f,g=Math.PI/180;if(Math.abs(d-p)<g&&(g=Math.abs(d-p)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],d,0),f<0)for(l=d-g;l>p;l-=g)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=d+g;l<p;l+=g)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],p,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var d=u*(Math.PI/180),f=Math.cos(d)*(t-r)/2+Math.sin(d)*(n-i)/2,p=-1*Math.sin(d)*(t-r)/2+Math.cos(d)*(n-i)/2,g=f*f/(a*a)+p*p/(l*l);g>1&&(a*=Math.sqrt(g),l*=Math.sqrt(g));var m=Math.sqrt((a*a*(l*l)-a*a*(p*p)-l*l*(f*f))/(a*a*(p*p)+l*l*(f*f)));o===s&&(m*=-1),isNaN(m)&&(m=0);var v=m*a*p/l,x=m*-l*f/a,_=(t+r)/2+Math.cos(d)*v-Math.sin(d)*x,b=(n+i)/2+Math.sin(d)*v+Math.cos(d)*x,y=function(O){return Math.sqrt(O[0]*O[0]+O[1]*O[1])},S=function(O,M){return(O[0]*M[0]+O[1]*M[1])/(y(O)*y(M))},C=function(O,M){return(O[0]*M[1]<O[1]*M[0]?-1:1)*Math.acos(S(O,M))},T=C([1,0],[(f-v)/a,(p-x)/l]),E=[(f-v)/a,(p-x)/l],P=[(-1*f-v)/a,(-1*p-x)/l],k=C(E,P);return S(E,P)<=-1&&(k=Math.PI),S(E,P)>=1&&(k=0),s===0&&k>0&&(k=k-2*Math.PI),s===1&&k<0&&(k=k+2*Math.PI),[_,b,a,l,T,k,d,s]}}Hf.Path=Qn;Qn.prototype.className="Path";Qn.prototype._attrsAffectingSize=["data"];(0,h2e._registerNode)(Qn);d2e.Factory.addGetterSetter(Qn,"data");Object.defineProperty(hS,"__esModule",{value:!0});hS.Arrow=void 0;const gS=nt,p2e=Rm,tz=ke,g2e=rt,QO=Hf;class bc extends p2e.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const p=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],g=QO.Path.calcLength(i[i.length-4],i[i.length-3],"C",p),m=QO.Path.getPointOnQuadraticBezier(Math.min(1,1-s/g),p[0],p[1],p[2],p[3],p[4],p[5]);l=r[a-2]-m.x,u=r[a-1]-m.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var d=(Math.atan2(u,l)+n)%n,f=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(d),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}hS.Arrow=bc;bc.prototype.className="Arrow";(0,g2e._registerNode)(bc);gS.Factory.addGetterSetter(bc,"pointerLength",10,(0,tz.getNumberValidator)());gS.Factory.addGetterSetter(bc,"pointerWidth",10,(0,tz.getNumberValidator)());gS.Factory.addGetterSetter(bc,"pointerAtBeginning",!1);gS.Factory.addGetterSetter(bc,"pointerAtEnding",!0);var mS={};Object.defineProperty(mS,"__esModule",{value:!0});mS.Circle=void 0;const m2e=nt,y2e=rr,v2e=ke,_2e=rt;let Wf=class extends y2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};mS.Circle=Wf;Wf.prototype._centroid=!0;Wf.prototype.className="Circle";Wf.prototype._attrsAffectingSize=["radius"];(0,_2e._registerNode)(Wf);m2e.Factory.addGetterSetter(Wf,"radius",0,(0,v2e.getNumberValidator)());var yS={};Object.defineProperty(yS,"__esModule",{value:!0});yS.Ellipse=void 0;const SE=nt,b2e=rr,nz=ke,S2e=rt;class iu extends b2e.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}yS.Ellipse=iu;iu.prototype.className="Ellipse";iu.prototype._centroid=!0;iu.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,S2e._registerNode)(iu);SE.Factory.addComponentsGetterSetter(iu,"radius",["x","y"]);SE.Factory.addGetterSetter(iu,"radiusX",0,(0,nz.getNumberValidator)());SE.Factory.addGetterSetter(iu,"radiusY",0,(0,nz.getNumberValidator)());var vS={};Object.defineProperty(vS,"__esModule",{value:!0});vS.Image=void 0;const Ux=Sn,Sc=nt,w2e=rr,x2e=rt,Om=ke;let Us=class rz extends w2e.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?Ux.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?Ux.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=Ux.Util.createImageElement();i.onload=function(){var o=new rz({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};vS.Image=Us;Us.prototype.className="Image";(0,x2e._registerNode)(Us);Sc.Factory.addGetterSetter(Us,"cornerRadius",0,(0,Om.getNumberOrArrayOfNumbersValidator)(4));Sc.Factory.addGetterSetter(Us,"image");Sc.Factory.addComponentsGetterSetter(Us,"crop",["x","y","width","height"]);Sc.Factory.addGetterSetter(Us,"cropX",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropY",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropWidth",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropHeight",0,(0,Om.getNumberValidator)());var Rf={};Object.defineProperty(Rf,"__esModule",{value:!0});Rf.Tag=Rf.Label=void 0;const _S=nt,C2e=rr,T2e=jf,wE=ke,iz=rt;var oz=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],E2e="Change.konva",A2e="none",l5="up",u5="right",c5="down",d5="left",P2e=oz.length;class xE extends T2e.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<P2e;r++)t.on(oz[r]+E2e,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case l5:a=r/2,l=-1*u;break;case u5:a=r+s,l=i/2;break;case c5:a=r/2,l=i+u;break;case d5:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}Rf.Label=xE;xE.prototype.className="Label";(0,iz._registerNode)(xE);class wc extends C2e.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,d=0,f=0;typeof a=="number"?l=u=d=f=Math.min(a,n/2,r/2):(l=Math.min(a[0]||0,n/2,r/2),u=Math.min(a[1]||0,n/2,r/2),f=Math.min(a[2]||0,n/2,r/2),d=Math.min(a[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===l5&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*s),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===u5&&(t.lineTo(n,(r-s)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+s)/2)),t.lineTo(n,r-f),t.arc(n-f,r-f,f,0,Math.PI/2,!1),i===c5&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+s),t.lineTo((n-o)/2,r)),t.lineTo(d,r),t.arc(d,r-d,d,Math.PI/2,Math.PI,!1),i===d5&&(t.lineTo(0,(r+s)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-s)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),s=this.width(),a=this.height();return o===l5?(n-=i,a+=i):o===c5?a+=i:o===d5?(t-=r*1.5,s+=r):o===u5&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}Rf.Tag=wc;wc.prototype.className="Tag";(0,iz._registerNode)(wc);_S.Factory.addGetterSetter(wc,"pointerDirection",A2e);_S.Factory.addGetterSetter(wc,"pointerWidth",0,(0,wE.getNumberValidator)());_S.Factory.addGetterSetter(wc,"pointerHeight",0,(0,wE.getNumberValidator)());_S.Factory.addGetterSetter(wc,"cornerRadius",0,(0,wE.getNumberOrArrayOfNumbersValidator)(4));var km={};Object.defineProperty(km,"__esModule",{value:!0});km.Rect=void 0;const R2e=nt,O2e=rr,k2e=rt,I2e=Sn,M2e=ke;let bS=class extends O2e.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?I2e.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};km.Rect=bS;bS.prototype.className="Rect";(0,k2e._registerNode)(bS);R2e.Factory.addGetterSetter(bS,"cornerRadius",0,(0,M2e.getNumberOrArrayOfNumbersValidator)(4));var SS={};Object.defineProperty(SS,"__esModule",{value:!0});SS.RegularPolygon=void 0;const sz=nt,N2e=rr,az=ke,L2e=rt;class xc extends N2e.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}SS.RegularPolygon=xc;xc.prototype.className="RegularPolygon";xc.prototype._centroid=!0;xc.prototype._attrsAffectingSize=["radius"];(0,L2e._registerNode)(xc);sz.Factory.addGetterSetter(xc,"radius",0,(0,az.getNumberValidator)());sz.Factory.addGetterSetter(xc,"sides",0,(0,az.getNumberValidator)());var wS={};Object.defineProperty(wS,"__esModule",{value:!0});wS.Ring=void 0;const lz=nt,D2e=rr,uz=ke,$2e=rt;var ZO=Math.PI*2;class Cc extends D2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,ZO,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),ZO,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}wS.Ring=Cc;Cc.prototype.className="Ring";Cc.prototype._centroid=!0;Cc.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,$2e._registerNode)(Cc);lz.Factory.addGetterSetter(Cc,"innerRadius",0,(0,uz.getNumberValidator)());lz.Factory.addGetterSetter(Cc,"outerRadius",0,(0,uz.getNumberValidator)());var xS={};Object.defineProperty(xS,"__esModule",{value:!0});xS.Sprite=void 0;const Tc=nt,F2e=rr,B2e=Gf,cz=ke,U2e=rt;class zs extends F2e.Shape{constructor(t){super(t),this._updated=!0,this.anim=new B2e.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+0],l=o[i+1],u=o[i+2],d=o[i+3],f=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,d),t.closePath(),t.fillStrokeShape(this)),f)if(s){var p=s[n],g=r*2;t.drawImage(f,a,l,u,d,p[g+0],p[g+1],u,d)}else t.drawImage(f,a,l,u,d,0,0,u,d)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+2],l=o[i+3];if(t.beginPath(),s){var u=s[n],d=r*2;t.rect(u[d+0],u[d+1],a,l)}else t.rect(0,0,a,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}xS.Sprite=zs;zs.prototype.className="Sprite";(0,U2e._registerNode)(zs);Tc.Factory.addGetterSetter(zs,"animation");Tc.Factory.addGetterSetter(zs,"animations");Tc.Factory.addGetterSetter(zs,"frameOffsets");Tc.Factory.addGetterSetter(zs,"image");Tc.Factory.addGetterSetter(zs,"frameIndex",0,(0,cz.getNumberValidator)());Tc.Factory.addGetterSetter(zs,"frameRate",17,(0,cz.getNumberValidator)());Tc.Factory.backCompat(zs,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var CS={};Object.defineProperty(CS,"__esModule",{value:!0});CS.Star=void 0;const CE=nt,z2e=rr,TE=ke,V2e=rt;class ou extends z2e.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}CS.Star=ou;ou.prototype.className="Star";ou.prototype._centroid=!0;ou.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,V2e._registerNode)(ou);CE.Factory.addGetterSetter(ou,"numPoints",5,(0,TE.getNumberValidator)());CE.Factory.addGetterSetter(ou,"innerRadius",0,(0,TE.getNumberValidator)());CE.Factory.addGetterSetter(ou,"outerRadius",0,(0,TE.getNumberValidator)());var uc={};Object.defineProperty(uc,"__esModule",{value:!0});uc.Text=uc.stringToArray=void 0;const f5=Sn,di=nt,j2e=rr,su=ke,G2e=rt;function dz(e){return Array.from(e)}uc.stringToArray=dz;var gd="auto",H2e="center",Zh="justify",W2e="Change.konva",q2e="2d",JO="-",fz="left",K2e="text",X2e="Text",Y2e="top",Q2e="bottom",ek="middle",hz="normal",Z2e="px ",D0=" ",J2e="right",ewe="word",twe="char",tk="none",zx="…",pz=["fontFamily","fontSize","fontStyle","fontVariant","padding","align","verticalAlign","lineHeight","text","width","height","wrap","ellipsis","letterSpacing"],nwe=pz.length;function rwe(e){return e.split(",").map(t=>{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var $0;function Vx(){return $0||($0=f5.Util.createCanvasElement().getContext(q2e),$0)}function iwe(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function owe(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function swe(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}class Ln extends j2e.Shape{constructor(t){super(swe(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n<nwe;n++)this.on(pz[n]+W2e,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),d=this.getWidth(),f=this.letterSpacing(),p=this.fill(),g=this.textDecoration(),m=g.indexOf("underline")!==-1,v=g.indexOf("line-through")!==-1,x,_=0,_=s/2,b=0,y=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",ek),t.setAttr("textAlign",fz),a===ek?l=(this.getHeight()-r*s-i*2)/2:a===Q2e&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),x=0;x<r;x++){var b=0,y=0,S=n[x],C=S.text,T=S.width,E=S.lastInParagraph,P,k,O;if(t.save(),u===J2e?b+=d-T-i*2:u===H2e&&(b+=(d-T-i*2)/2),m){t.save(),t.beginPath(),t.moveTo(b,_+y+Math.round(o/2)),P=C.split(" ").length-1,k=P===0,O=u===Zh&&!E?d-i*2:T,t.lineTo(b+Math.round(O),_+y+Math.round(o/2)),t.lineWidth=o/15;const F=this._getLinearGradient();t.strokeStyle=F||p,t.stroke(),t.restore()}if(v){t.save(),t.beginPath(),t.moveTo(b,_+y),P=C.split(" ").length-1,k=P===0,O=u===Zh&&E&&!k?d-i*2:T,t.lineTo(b+Math.round(O),_+y),t.lineWidth=o/15;const F=this._getLinearGradient();t.strokeStyle=F||p,t.stroke(),t.restore()}if(f!==0||u===Zh){P=C.split(" ").length-1;for(var M=dz(C),G=0;G<M.length;G++){var U=M[G];U===" "&&!E&&u===Zh&&(b+=(d-i*2-T)/P),this._partialTextX=b,this._partialTextY=_+y,this._partialText=U,t.fillStrokeShape(this),b+=this.measureSize(U).width+f}}else this._partialTextX=b,this._partialTextY=_+y,this._partialText=C,t.fillStrokeShape(this);t.restore(),r>1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=f5.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(K2e,n),this}getWidth(){var t=this.attrs.width===gd||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===gd||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return f5.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}measureSize(t){var n=Vx(),r=this.fontSize(),i;return n.save(),n.font=this._getContextFont(),i=n.measureText(t),n.restore(),{width:i.width,height:r}}_getContextFont(){return this.fontStyle()+D0+this.fontVariant()+D0+(this.fontSize()+Z2e)+rwe(this.fontFamily())}_addTextLine(t){this.align()===Zh&&(t=t.trim());var r=this._getTextWidth(t);return this.textArr.push({text:t,width:r,lastInParagraph:!1})}_getTextWidth(t){var n=this.letterSpacing(),r=t.length;return Vx().measureText(t).width+(r?n*(r-1):0)}_setTextData(){var t=this.text().split(`
+`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,s=this.attrs.height,a=o!==gd&&o!==void 0,l=s!==gd&&s!==void 0,u=this.padding(),d=o-u*2,f=s-u*2,p=0,g=this.wrap(),m=g!==tk,v=g!==twe&&m,x=this.ellipsis();this.textArr=[],Vx().font=this._getContextFont();for(var _=x?this._getTextWidth(zx):0,b=0,y=t.length;b<y;++b){var S=t[b],C=this._getTextWidth(S);if(a&&C>d)for(;S.length>0;){for(var T=0,E=S.length,P="",k=0;T<E;){var O=T+E>>>1,M=S.slice(0,O+1),G=this._getTextWidth(M)+_;G<=d?(T=O+1,P=M,k=G):E=O}if(P){if(v){var U,A=S[P.length],N=A===D0||A===JO;N&&k<=d?U=P.length:U=Math.max(P.lastIndexOf(D0),P.lastIndexOf(JO))+1,U>0&&(T=U,P=P.slice(0,T),k=this._getTextWidth(P))}P=P.trimRight(),this._addTextLine(P),r=Math.max(r,k),p+=i;var F=this._shouldHandleEllipsis(p);if(F){this._tryToAddEllipsisToLastLine();break}if(S=S.slice(T),S=S.trimLeft(),S.length>0&&(C=this._getTextWidth(S),C<=d)){this._addTextLine(S),p+=i,r=Math.max(r,C);break}}else break}else this._addTextLine(S),p+=i,r=Math.max(r,C),this._shouldHandleEllipsis(p)&&b<y-1&&this._tryToAddEllipsisToLastLine();if(this.textArr[this.textArr.length-1]&&(this.textArr[this.textArr.length-1].lastInParagraph=!0),l&&p+i>f)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==gd&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==tk;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==gd&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),s=this.textArr[this.textArr.length-1];if(!(!s||!o)){if(n){var a=this._getTextWidth(s.text+zx)<i;a||(s.text=s.text.slice(0,s.text.length-3))}this.textArr.splice(this.textArr.length-1,1),this._addTextLine(s.text+zx)}}getStrokeScaleEnabled(){return!0}}uc.Text=Ln;Ln.prototype._fillFunc=iwe;Ln.prototype._strokeFunc=owe;Ln.prototype.className=X2e;Ln.prototype._attrsAffectingSize=["text","fontSize","padding","wrap","lineHeight","letterSpacing"];(0,G2e._registerNode)(Ln);di.Factory.overWriteSetter(Ln,"width",(0,su.getNumberOrAutoValidator)());di.Factory.overWriteSetter(Ln,"height",(0,su.getNumberOrAutoValidator)());di.Factory.addGetterSetter(Ln,"fontFamily","Arial");di.Factory.addGetterSetter(Ln,"fontSize",12,(0,su.getNumberValidator)());di.Factory.addGetterSetter(Ln,"fontStyle",hz);di.Factory.addGetterSetter(Ln,"fontVariant",hz);di.Factory.addGetterSetter(Ln,"padding",0,(0,su.getNumberValidator)());di.Factory.addGetterSetter(Ln,"align",fz);di.Factory.addGetterSetter(Ln,"verticalAlign",Y2e);di.Factory.addGetterSetter(Ln,"lineHeight",1,(0,su.getNumberValidator)());di.Factory.addGetterSetter(Ln,"wrap",ewe);di.Factory.addGetterSetter(Ln,"ellipsis",!1,(0,su.getBooleanValidator)());di.Factory.addGetterSetter(Ln,"letterSpacing",0,(0,su.getNumberValidator)());di.Factory.addGetterSetter(Ln,"text","",(0,su.getStringValidator)());di.Factory.addGetterSetter(Ln,"textDecoration","");var TS={};Object.defineProperty(TS,"__esModule",{value:!0});TS.TextPath=void 0;const jx=Sn,rs=nt,awe=rr,Jh=Hf,Gx=uc,gz=ke,lwe=rt;var uwe="",mz="normal";function yz(e){e.fillText(this.partialText,0,0)}function vz(e){e.strokeText(this.partialText,0,0)}class ir extends awe.Shape{constructor(t){super(t),this.dummyCanvas=jx.Util.createCanvasElement(),this.dataArray=[],this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute(),this._setTextData()}),this.on("textChange.konva alignChange.konva letterSpacingChange.konva kerningFuncChange.konva fontSizeChange.konva fontFamilyChange.konva",this._setTextData),this._setTextData()}_getTextPathLength(){return Jh.Path.getPathLength(this.dataArray)}_getPointAtLength(t){if(!this.attrs.data)return null;const n=this.pathLength;return t-1>n?null:Jh.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=Jh.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var s=0;s<o.length;s++){t.save();var a=o[s].p0;t.translate(a.x,a.y),t.rotate(o[s].rotation),this.partialText=o[s].text,t.fillStrokeShape(this),n==="underline"&&(s===0&&t.moveTo(0,i/2+1),t.lineTo(i,i/2+1)),t.restore()}n==="underline"&&(t.strokeStyle=r,t.lineWidth=i/20,t.stroke()),t.restore()}_hitFunc(t){t.beginPath();var n=this.glyphInfo;if(n.length>=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;i<n.length;i++){var o=n[i].p1;t.lineTo(o.x,o.y)}t.setAttr("lineWidth",this.fontSize()),t.setAttr("strokeStyle",this.colorKey),t.stroke()}getTextWidth(){return this.textWidth}getTextHeight(){return jx.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}setText(t){return Gx.Text.prototype.setText.call(this,t)}_getContextFont(){return Gx.Text.prototype._getContextFont.call(this)}_getTextSize(t){var n=this.dummyCanvas,r=n.getContext("2d");r.save(),r.font=this._getContextFont();var i=r.measureText(t);return r.restore(),{width:i.width,height:parseInt(`${this.fontSize()}`,10)}}_setTextData(){const{width:t,height:n}=this._getTextSize(this.attrs.text);if(this.textWidth=t,this.textHeight=n,this.glyphInfo=[],!this.attrs.data)return null;const r=this.letterSpacing(),i=this.align(),o=this.kerningFunc(),s=Math.max(this.textWidth+((this.attrs.text||"").length-1)*r,0);let a=0;i==="center"&&(a=Math.max(0,this.pathLength/2-s/2)),i==="right"&&(a=Math.max(0,this.pathLength-s));const l=(0,Gx.stringToArray)(this.text());let u=a;for(var d=0;d<l.length;d++){const f=this._getPointAtLength(u);if(!f)return;let p=this._getTextSize(l[d]).width+r;if(l[d]===" "&&i==="justify"){const b=this.text().split(" ").length-1;p+=(this.pathLength-s)/b}const g=this._getPointAtLength(u+p);if(!g)return;const m=Jh.Path.getLineLength(f.x,f.y,g.x,g.y);let v=0;if(o)try{v=o(l[d-1],l[d])*this.fontSize()}catch{v=0}f.x+=v,g.x+=v,this.textWidth+=v;const x=Jh.Path.getPointOnLine(v+m/2,f.x,f.y,g.x,g.y),_=Math.atan2(g.y-f.y,g.x-f.x);this.glyphInfo.push({transposeX:x.x,transposeY:x.y,text:l[d],rotation:_,p0:f,p1:g}),u+=p}}getSelfRect(){if(!this.glyphInfo.length)return{x:0,y:0,width:0,height:0};var t=[];this.glyphInfo.forEach(function(d){t.push(d.p0.x),t.push(d.p0.y),t.push(d.p1.x),t.push(d.p1.y)});for(var n=t[0]||0,r=t[0]||0,i=t[1]||0,o=t[1]||0,s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],n=Math.min(n,s),r=Math.max(r,s),i=Math.min(i,a),o=Math.max(o,a);var u=this.fontSize();return{x:n-u/2,y:i-u/2,width:r-n+u,height:o-i+u}}destroy(){return jx.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}TS.TextPath=ir;ir.prototype._fillFunc=yz;ir.prototype._strokeFunc=vz;ir.prototype._fillFuncHit=yz;ir.prototype._strokeFuncHit=vz;ir.prototype.className="TextPath";ir.prototype._attrsAffectingSize=["text","fontSize","data"];(0,lwe._registerNode)(ir);rs.Factory.addGetterSetter(ir,"data");rs.Factory.addGetterSetter(ir,"fontFamily","Arial");rs.Factory.addGetterSetter(ir,"fontSize",12,(0,gz.getNumberValidator)());rs.Factory.addGetterSetter(ir,"fontStyle",mz);rs.Factory.addGetterSetter(ir,"align","left");rs.Factory.addGetterSetter(ir,"letterSpacing",0,(0,gz.getNumberValidator)());rs.Factory.addGetterSetter(ir,"textBaseline","middle");rs.Factory.addGetterSetter(ir,"fontVariant",mz);rs.Factory.addGetterSetter(ir,"text",uwe);rs.Factory.addGetterSetter(ir,"textDecoration",null);rs.Factory.addGetterSetter(ir,"kerningFunc",null);var ES={};Object.defineProperty(ES,"__esModule",{value:!0});ES.Transformer=void 0;const zt=Sn,Ft=nt,nk=fn,cwe=rr,dwe=km,rk=jf,Do=rt,au=ke,fwe=rt;var _z="tr-konva",hwe=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${_z}`).join(" "),ik="nodesRect",pwe=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],gwe={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const mwe="ontouchstart"in Do.Konva._global;function ywe(e,t){if(e==="rotater")return"crosshair";t+=zt.Util.degToRad(gwe[e]||0);var n=(zt.Util.radToDeg(t)%360+360)%360;return zt.Util._inRange(n,315+22.5,360)||zt.Util._inRange(n,0,22.5)?"ns-resize":zt.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":zt.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":zt.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":zt.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":zt.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":zt.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":zt.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(zt.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var e_=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],ok=1e8;function vwe(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function bz(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function _we(e,t){const n=vwe(e);return bz(e,t,n)}function bwe(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=Do.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class xt extends rk.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(hwe,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return zt.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return _z+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(zt.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(pwe.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(ik),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(ik,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=(Do.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),d={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return bz(d,-Do.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-ok,y:-ok,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const d=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var f=[{x:d.x,y:d.y},{x:d.x+d.width,y:d.y},{x:d.x+d.width,y:d.y+d.height},{x:d.x,y:d.y+d.height}],p=u.getAbsoluteTransform();f.forEach(function(g){var m=p.point(g);n.push(m)})});const r=new zt.Transform;r.rotate(-Do.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var d=r.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:Do.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),e_.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new dwe.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:mwe?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=Do.Konva.getAngle(this.rotation()),o=ywe(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new cwe.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*zt.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const d=o.getAbsolutePosition();if(!(u.x===d.x&&u.y===d.y)){if(this._movingAnchorName==="rotater"){var f=this._getNodeRect();n=o.x()-f.width/2,r=-o.y()+f.height/2;let U=Math.atan2(-r,n)+Math.PI/2;f.height<0&&(U-=Math.PI);var p=Do.Konva.getAngle(this.rotation());const A=p+U,N=Do.Konva.getAngle(this.rotationSnapTolerance()),B=bwe(this.rotationSnaps(),A,N)-f.rotation,D=_we(f,B);this._fitNodesInto(D,t);return}var g=this.shiftBehavior(),m;g==="inverted"?m=this.keepRatio()&&!t.shiftKey:g==="none"?m=this.keepRatio():m=this.keepRatio()||t.shiftKey;var y=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(v.x-o.x(),2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-left").x()>v.x?-1:1,_=this.findOne(".top-left").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-left").x(v.x-n),this.findOne(".top-left").y(v.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-v.x,2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-right").x()<v.x?-1:1,_=this.findOne(".top-right").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-right").x(v.x+n),this.findOne(".top-right").y(v.y-r)}var b=o.position();this.findOne(".top-left").y(b.y),this.findOne(".bottom-right").x(b.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(v.x-o.x(),2)+Math.pow(o.y()-v.y,2));var x=v.x<o.x()?-1:1,_=o.y()<v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,o.x(v.x-n),o.y(v.y+r)}b=o.position(),this.findOne(".top-left").x(b.x),this.findOne(".bottom-right").y(b.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-v.x,2)+Math.pow(o.y()-v.y,2));var x=this.findOne(".bottom-right").x()<v.x?-1:1,_=this.findOne(".bottom-right").y()<v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".bottom-right").x(v.x+n),this.findOne(".bottom-right").y(v.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var y=this.centeredScaling()||t.altKey;if(y){var S=this.findOne(".top-left"),C=this.findOne(".bottom-right"),T=S.x(),E=S.y(),P=this.getWidth()-C.x(),k=this.getHeight()-C.y();C.move({x:-T,y:-E}),S.move({x:P,y:k})}var O=this.findOne(".top-left").getAbsolutePosition();n=O.x,r=O.y;var M=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),G=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:M,height:G,rotation:Do.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(zt.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(zt.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new zt.Transform;if(s.rotate(Do.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const f=s.point({x:-this.padding()*2,y:0});if(t.x+=f.x,t.y+=f.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const f=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const f=s.point({x:0,y:-this.padding()*2});if(t.x+=f.x,t.y+=f.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const f=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const f=this.boundBoxFunc()(r,t);f?t=f:zt.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new zt.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new zt.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const d=u.multiply(l.invert());this._nodes.forEach(f=>{var p;const g=f.getParent().getAbsoluteTransform(),m=f.getTransform().copy();m.translate(f.offsetX(),f.offsetY());const v=new zt.Transform;v.multiply(g.copy().invert()).multiply(d).multiply(g).multiply(m);const x=v.decompose();f.setAttrs(x),this._fire("transform",{evt:n,target:f}),f._fire("transform",{evt:n,target:f}),(p=f.getLayer())===null||p===void 0||p.batchDraw()}),this.rotation(zt.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(zt.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(f=>{f.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*zt.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const d=this.anchorStyleFunc();d&&u.forEach(f=>{d(f)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),rk.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return nk.Node.prototype.toObject.call(this)}clone(t){var n=nk.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}ES.Transformer=xt;function Swe(e){return e instanceof Array||zt.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){e_.indexOf(t)===-1&&zt.Util.warn("Unknown anchor name: "+t+". Available names are: "+e_.join(", "))}),e||[]}xt.prototype.className="Transformer";(0,fwe._registerNode)(xt);Ft.Factory.addGetterSetter(xt,"enabledAnchors",e_,Swe);Ft.Factory.addGetterSetter(xt,"flipEnabled",!0,(0,au.getBooleanValidator)());Ft.Factory.addGetterSetter(xt,"resizeEnabled",!0);Ft.Factory.addGetterSetter(xt,"anchorSize",10,(0,au.getNumberValidator)());Ft.Factory.addGetterSetter(xt,"rotateEnabled",!0);Ft.Factory.addGetterSetter(xt,"rotationSnaps",[]);Ft.Factory.addGetterSetter(xt,"rotateAnchorOffset",50,(0,au.getNumberValidator)());Ft.Factory.addGetterSetter(xt,"rotationSnapTolerance",5,(0,au.getNumberValidator)());Ft.Factory.addGetterSetter(xt,"borderEnabled",!0);Ft.Factory.addGetterSetter(xt,"anchorStroke","rgb(0, 161, 255)");Ft.Factory.addGetterSetter(xt,"anchorStrokeWidth",1,(0,au.getNumberValidator)());Ft.Factory.addGetterSetter(xt,"anchorFill","white");Ft.Factory.addGetterSetter(xt,"anchorCornerRadius",0,(0,au.getNumberValidator)());Ft.Factory.addGetterSetter(xt,"borderStroke","rgb(0, 161, 255)");Ft.Factory.addGetterSetter(xt,"borderStrokeWidth",1,(0,au.getNumberValidator)());Ft.Factory.addGetterSetter(xt,"borderDash");Ft.Factory.addGetterSetter(xt,"keepRatio",!0);Ft.Factory.addGetterSetter(xt,"shiftBehavior","default");Ft.Factory.addGetterSetter(xt,"centeredScaling",!1);Ft.Factory.addGetterSetter(xt,"ignoreStroke",!1);Ft.Factory.addGetterSetter(xt,"padding",0,(0,au.getNumberValidator)());Ft.Factory.addGetterSetter(xt,"node");Ft.Factory.addGetterSetter(xt,"nodes");Ft.Factory.addGetterSetter(xt,"boundBoxFunc");Ft.Factory.addGetterSetter(xt,"anchorDragBoundFunc");Ft.Factory.addGetterSetter(xt,"anchorStyleFunc");Ft.Factory.addGetterSetter(xt,"shouldOverdrawWholeArea",!1);Ft.Factory.addGetterSetter(xt,"useSingleNodeRotation",!0);Ft.Factory.backCompat(xt,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var AS={};Object.defineProperty(AS,"__esModule",{value:!0});AS.Wedge=void 0;const PS=nt,wwe=rr,xwe=rt,Sz=ke,Cwe=rt;class Ua extends wwe.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,xwe.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}AS.Wedge=Ua;Ua.prototype.className="Wedge";Ua.prototype._centroid=!0;Ua.prototype._attrsAffectingSize=["radius"];(0,Cwe._registerNode)(Ua);PS.Factory.addGetterSetter(Ua,"radius",0,(0,Sz.getNumberValidator)());PS.Factory.addGetterSetter(Ua,"angle",0,(0,Sz.getNumberValidator)());PS.Factory.addGetterSetter(Ua,"clockwise",!1);PS.Factory.backCompat(Ua,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var RS={};Object.defineProperty(RS,"__esModule",{value:!0});RS.Blur=void 0;const sk=nt,Twe=fn,Ewe=ke;function ak(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var Awe=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],Pwe=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function Rwe(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,d,f,p,g,m,v,x,_,b,y,S,C,T,E,P,k,O,M,G,U=t+t+1,A=r-1,N=i-1,F=t+1,B=F*(F+1)/2,D=new ak,V=null,j=D,q=null,Z=null,ee=Awe[t],ie=Pwe[t];for(a=1;a<U;a++)j=j.next=new ak,a===F&&(V=j);for(j.next=D,f=d=0,s=0;s<i;s++){for(S=C=T=E=p=g=m=v=0,x=F*(P=n[d]),_=F*(k=n[d+1]),b=F*(O=n[d+2]),y=F*(M=n[d+3]),p+=B*P,g+=B*k,m+=B*O,v+=B*M,j=D,a=0;a<F;a++)j.r=P,j.g=k,j.b=O,j.a=M,j=j.next;for(a=1;a<F;a++)l=d+((A<a?A:a)<<2),p+=(j.r=P=n[l])*(G=F-a),g+=(j.g=k=n[l+1])*G,m+=(j.b=O=n[l+2])*G,v+=(j.a=M=n[l+3])*G,S+=P,C+=k,T+=O,E+=M,j=j.next;for(q=D,Z=V,o=0;o<r;o++)n[d+3]=M=v*ee>>ie,M!==0?(M=255/M,n[d]=(p*ee>>ie)*M,n[d+1]=(g*ee>>ie)*M,n[d+2]=(m*ee>>ie)*M):n[d]=n[d+1]=n[d+2]=0,p-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=f+((l=o+t+1)<A?l:A)<<2,S+=q.r=n[l],C+=q.g=n[l+1],T+=q.b=n[l+2],E+=q.a=n[l+3],p+=S,g+=C,m+=T,v+=E,q=q.next,x+=P=Z.r,_+=k=Z.g,b+=O=Z.b,y+=M=Z.a,S-=P,C-=k,T-=O,E-=M,Z=Z.next,d+=4;f+=r}for(o=0;o<r;o++){for(C=T=E=S=g=m=v=p=0,d=o<<2,x=F*(P=n[d]),_=F*(k=n[d+1]),b=F*(O=n[d+2]),y=F*(M=n[d+3]),p+=B*P,g+=B*k,m+=B*O,v+=B*M,j=D,a=0;a<F;a++)j.r=P,j.g=k,j.b=O,j.a=M,j=j.next;for(u=r,a=1;a<=t;a++)d=u+o<<2,p+=(j.r=P=n[d])*(G=F-a),g+=(j.g=k=n[d+1])*G,m+=(j.b=O=n[d+2])*G,v+=(j.a=M=n[d+3])*G,S+=P,C+=k,T+=O,E+=M,j=j.next,a<N&&(u+=r);for(d=o,q=D,Z=V,s=0;s<i;s++)l=d<<2,n[l+3]=M=v*ee>>ie,M>0?(M=255/M,n[l]=(p*ee>>ie)*M,n[l+1]=(g*ee>>ie)*M,n[l+2]=(m*ee>>ie)*M):n[l]=n[l+1]=n[l+2]=0,p-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=o+((l=s+F)<N?l:N)*r<<2,p+=S+=q.r=n[l],g+=C+=q.g=n[l+1],m+=T+=q.b=n[l+2],v+=E+=q.a=n[l+3],q=q.next,x+=P=Z.r,_+=k=Z.g,b+=O=Z.b,y+=M=Z.a,S-=P,C-=k,T-=O,E-=M,Z=Z.next,d+=r}}const Owe=function(t){var n=Math.round(this.blurRadius());n>0&&Rwe(t,n)};RS.Blur=Owe;sk.Factory.addGetterSetter(Twe.Node,"blurRadius",0,(0,Ewe.getNumberValidator)(),sk.Factory.afterSetFilter);var OS={};Object.defineProperty(OS,"__esModule",{value:!0});OS.Brighten=void 0;const lk=nt,kwe=fn,Iwe=ke,Mwe=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};OS.Brighten=Mwe;lk.Factory.addGetterSetter(kwe.Node,"brightness",0,(0,Iwe.getNumberValidator)(),lk.Factory.afterSetFilter);var kS={};Object.defineProperty(kS,"__esModule",{value:!0});kS.Contrast=void 0;const uk=nt,Nwe=fn,Lwe=ke,Dwe=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};kS.Contrast=Dwe;uk.Factory.addGetterSetter(Nwe.Node,"contrast",0,(0,Lwe.getNumberValidator)(),uk.Factory.afterSetFilter);var IS={};Object.defineProperty(IS,"__esModule",{value:!0});IS.Emboss=void 0;const Wl=nt,MS=fn,$we=Sn,wz=ke,Fwe=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,d=l*4,f=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:$we.Util.error("Unknown emboss direction: "+r)}do{var p=(f-1)*d,g=o;f+g<1&&(g=0),f+g>u&&(g=0);var m=(f-1+g)*l*4,v=l;do{var x=p+(v-1)*4,_=s;v+_<1&&(_=0),v+_>l&&(_=0);var b=m+(v-1+_)*4,y=a[x]-a[b],S=a[x+1]-a[b+1],C=a[x+2]-a[b+2],T=y,E=T>0?T:-T,P=S>0?S:-S,k=C>0?C:-C;if(P>E&&(T=S),k>E&&(T=C),T*=t,i){var O=a[x]+T,M=a[x+1]+T,G=a[x+2]+T;a[x]=O>255?255:O<0?0:O,a[x+1]=M>255?255:M<0?0:M,a[x+2]=G>255?255:G<0?0:G}else{var U=n-T;U<0?U=0:U>255&&(U=255),a[x]=a[x+1]=a[x+2]=U}}while(--v)}while(--f)};IS.Emboss=Fwe;Wl.Factory.addGetterSetter(MS.Node,"embossStrength",.5,(0,wz.getNumberValidator)(),Wl.Factory.afterSetFilter);Wl.Factory.addGetterSetter(MS.Node,"embossWhiteLevel",.5,(0,wz.getNumberValidator)(),Wl.Factory.afterSetFilter);Wl.Factory.addGetterSetter(MS.Node,"embossDirection","top-left",null,Wl.Factory.afterSetFilter);Wl.Factory.addGetterSetter(MS.Node,"embossBlend",!1,null,Wl.Factory.afterSetFilter);var NS={};Object.defineProperty(NS,"__esModule",{value:!0});NS.Enhance=void 0;const ck=nt,Bwe=fn,Uwe=ke;function Hx(e,t,n,r,i){var o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const zwe=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],d=u,f,p,g=this.enhance();if(g!==0){for(p=0;p<n;p+=4)o=t[p+0],o<r?r=o:o>i&&(i=o),l=t[p+1],l<s?s=l:l>a&&(a=l),f=t[p+2],f<u?u=f:f>d&&(d=f);i===r&&(i=255,r=0),a===s&&(a=255,s=0),d===u&&(d=255,u=0);var m,v,x,_,b,y,S,C,T;for(g>0?(v=i+g*(255-i),x=r-g*(r-0),b=a+g*(255-a),y=s-g*(s-0),C=d+g*(255-d),T=u-g*(u-0)):(m=(i+r)*.5,v=i+g*(i-m),x=r+g*(r-m),_=(a+s)*.5,b=a+g*(a-_),y=s+g*(s-_),S=(d+u)*.5,C=d+g*(d-S),T=u+g*(u-S)),p=0;p<n;p+=4)t[p+0]=Hx(t[p+0],r,i,x,v),t[p+1]=Hx(t[p+1],s,a,y,b),t[p+2]=Hx(t[p+2],u,d,T,C)}};NS.Enhance=zwe;ck.Factory.addGetterSetter(Bwe.Node,"enhance",0,(0,Uwe.getNumberValidator)(),ck.Factory.afterSetFilter);var LS={};Object.defineProperty(LS,"__esModule",{value:!0});LS.Grayscale=void 0;const Vwe=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};LS.Grayscale=Vwe;var DS={};Object.defineProperty(DS,"__esModule",{value:!0});DS.HSL=void 0;const Of=nt,EE=fn,AE=ke;Of.Factory.addGetterSetter(EE.Node,"hue",0,(0,AE.getNumberValidator)(),Of.Factory.afterSetFilter);Of.Factory.addGetterSetter(EE.Node,"saturation",0,(0,AE.getNumberValidator)(),Of.Factory.afterSetFilter);Of.Factory.addGetterSetter(EE.Node,"luminance",0,(0,AE.getNumberValidator)(),Of.Factory.afterSetFilter);const jwe=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s=this.luminance()*127,a,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),d=.299*r+.701*l+.167*u,f=.587*r-.587*l+.33*u,p=.114*r-.114*l-.497*u,g=.299*r-.299*l-.328*u,m=.587*r+.413*l+.035*u,v=.114*r-.114*l+.293*u,x=.299*r-.3*l+1.25*u,_=.587*r-.586*l-1.05*u,b=.114*r+.886*l-.2*u,y,S,C,T;for(a=0;a<n;a+=4)y=t[a+0],S=t[a+1],C=t[a+2],T=t[a+3],t[a+0]=d*y+f*S+p*C+s,t[a+1]=g*y+m*S+v*C+s,t[a+2]=x*y+_*S+b*C+s,t[a+3]=T};DS.HSL=jwe;var $S={};Object.defineProperty($S,"__esModule",{value:!0});$S.HSV=void 0;const kf=nt,PE=fn,RE=ke,Gwe=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,d=.587*r-.587*a+.33*l,f=.114*r-.114*a-.497*l,p=.299*r-.299*a-.328*l,g=.587*r+.413*a+.035*l,m=.114*r-.114*a+.293*l,v=.299*r-.3*a+1.25*l,x=.587*r-.586*a-1.05*l,_=.114*r+.886*a-.2*l,b,y,S,C;for(s=0;s<n;s+=4)b=t[s+0],y=t[s+1],S=t[s+2],C=t[s+3],t[s+0]=u*b+d*y+f*S,t[s+1]=p*b+g*y+m*S,t[s+2]=v*b+x*y+_*S,t[s+3]=C};$S.HSV=Gwe;kf.Factory.addGetterSetter(PE.Node,"hue",0,(0,RE.getNumberValidator)(),kf.Factory.afterSetFilter);kf.Factory.addGetterSetter(PE.Node,"saturation",0,(0,RE.getNumberValidator)(),kf.Factory.afterSetFilter);kf.Factory.addGetterSetter(PE.Node,"value",0,(0,RE.getNumberValidator)(),kf.Factory.afterSetFilter);var FS={};Object.defineProperty(FS,"__esModule",{value:!0});FS.Invert=void 0;const Hwe=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};FS.Invert=Hwe;var BS={};Object.defineProperty(BS,"__esModule",{value:!0});BS.Kaleidoscope=void 0;const t_=nt,xz=fn,dk=Sn,Cz=ke;var Wwe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,d,f,p=0,g=0,m=0,v=0,x,_=Math.sqrt(a*a+l*l);d=o-a,f=s-l,x=Math.sqrt(d*d+f*f),_=x>_?x:_;var b=s,y=o,S,C,T=360/y*Math.PI/180,E,P;for(C=0;C<y;C+=1)for(E=Math.sin(C*T),P=Math.cos(C*T),S=0;S<b;S+=1)d=Math.floor(a+_*S/b*P),f=Math.floor(l+_*S/b*E),u=(f*o+d)*4,p=r[u+0],g=r[u+1],m=r[u+2],v=r[u+3],u=(C+S*o)*4,i[u+0]=p,i[u+1]=g,i[u+2]=m,i[u+3]=v},qwe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,d,f,p,g,m=0,v=0,x=0,_=0,b,y=Math.sqrt(a*a+l*l);d=o-a,f=s-l,b=Math.sqrt(d*d+f*f),y=b>y?b:y;var S=s,C=o,T,E,P=n.polarRotation||0,k,O;for(d=0;d<o;d+=1)for(f=0;f<s;f+=1)p=d-a,g=f-l,T=Math.sqrt(p*p+g*g)*S/y,E=(Math.atan2(g,p)*180/Math.PI+360+P)%360,E=E*C/360,k=Math.floor(E),O=Math.floor(T),u=(O*o+k)*4,m=r[u+0],v=r[u+1],x=r[u+2],_=r[u+3],u=(f*o+d)*4,i[u+0]=m,i[u+1]=v,i[u+2]=x,i[u+3]=_};const Kwe=function(e){var t=e.width,n=e.height,r,i,o,s,a,l,u,d,f,p,g=Math.round(this.kaleidoscopePower()),m=Math.round(this.kaleidoscopeAngle()),v=Math.floor(t*(m%360)/360);if(!(g<1)){var x=dk.Util.createCanvasElement();x.width=t,x.height=n;var _=x.getContext("2d").getImageData(0,0,t,n);dk.Util.releaseCanvas(x),Wwe(e,_,{polarCenterX:t/2,polarCenterY:n/2});for(var b=t/Math.pow(2,g);b<=8;)b=b*2,g-=1;b=Math.ceil(b);var y=b,S=0,C=y,T=1;for(v+b>t&&(S=y,C=0,T=-1),i=0;i<n;i+=1)for(r=S;r!==C;r+=T)o=Math.round(r+v)%t,f=(t*i+o)*4,a=_.data[f+0],l=_.data[f+1],u=_.data[f+2],d=_.data[f+3],p=(t*i+r)*4,_.data[p+0]=a,_.data[p+1]=l,_.data[p+2]=u,_.data[p+3]=d;for(i=0;i<n;i+=1)for(y=Math.floor(b),s=0;s<g;s+=1){for(r=0;r<y+1;r+=1)f=(t*i+r)*4,a=_.data[f+0],l=_.data[f+1],u=_.data[f+2],d=_.data[f+3],p=(t*i+y*2-r-1)*4,_.data[p+0]=a,_.data[p+1]=l,_.data[p+2]=u,_.data[p+3]=d;y*=2}qwe(_,e,{polarRotation:0})}};BS.Kaleidoscope=Kwe;t_.Factory.addGetterSetter(xz.Node,"kaleidoscopePower",2,(0,Cz.getNumberValidator)(),t_.Factory.afterSetFilter);t_.Factory.addGetterSetter(xz.Node,"kaleidoscopeAngle",0,(0,Cz.getNumberValidator)(),t_.Factory.afterSetFilter);var US={};Object.defineProperty(US,"__esModule",{value:!0});US.Mask=void 0;const fk=nt,Xwe=fn,Ywe=ke;function F0(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function ep(e,t){return Math.sqrt(Math.pow(e[0]-t[0],2)+Math.pow(e[1]-t[1],2)+Math.pow(e[2]-t[2],2))}function Qwe(e){for(var t=[0,0,0],n=0;n<e.length;n++)t[0]+=e[n][0],t[1]+=e[n][1],t[2]+=e[n][2];return t[0]/=e.length,t[1]/=e.length,t[2]/=e.length,t}function Zwe(e,t){var n=F0(e,0,0),r=F0(e,e.width-1,0),i=F0(e,0,e.height-1),o=F0(e,e.width-1,e.height-1),s=t||10;if(ep(n,r)<s&&ep(r,o)<s&&ep(o,i)<s&&ep(i,n)<s){for(var a=Qwe([r,n,o,i]),l=[],u=0;u<e.width*e.height;u++){var d=ep(a,[e.data[u*4],e.data[u*4+1],e.data[u*4+2]]);l[u]=d<s?0:255}return l}}function Jwe(e,t){for(var n=0;n<e.width*e.height;n++)e.data[4*n+3]=t[n]}function exe(e,t,n){for(var r=[1,1,1,1,0,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d===255*8?255:0}return s}function txe(e,t,n){for(var r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d>=255*4?255:0}return s}function nxe(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d}return s}const rxe=function(e){var t=this.threshold(),n=Zwe(e,t);return n&&(n=exe(n,e.width,e.height),n=txe(n,e.width,e.height),n=nxe(n,e.width,e.height),Jwe(e,n)),e};US.Mask=rxe;fk.Factory.addGetterSetter(Xwe.Node,"threshold",0,(0,Ywe.getNumberValidator)(),fk.Factory.afterSetFilter);var zS={};Object.defineProperty(zS,"__esModule",{value:!0});zS.Noise=void 0;const hk=nt,ixe=fn,oxe=ke,sxe=function(e){var t=this.noise()*255,n=e.data,r=n.length,i=t/2,o;for(o=0;o<r;o+=4)n[o+0]+=i-2*i*Math.random(),n[o+1]+=i-2*i*Math.random(),n[o+2]+=i-2*i*Math.random()};zS.Noise=sxe;hk.Factory.addGetterSetter(ixe.Node,"noise",.2,(0,oxe.getNumberValidator)(),hk.Factory.afterSetFilter);var VS={};Object.defineProperty(VS,"__esModule",{value:!0});VS.Pixelate=void 0;const pk=nt,axe=Sn,lxe=fn,uxe=ke,cxe=function(e){var t=Math.ceil(this.pixelSize()),n=e.width,r=e.height,i,o,s,a,l,u,d,f=Math.ceil(n/t),p=Math.ceil(r/t),g,m,v,x,_,b,y,S=e.data;if(t<=0){axe.Util.error("pixelSize value can not be <= 0");return}for(_=0;_<f;_+=1)for(b=0;b<p;b+=1){for(a=0,l=0,u=0,d=0,g=_*t,m=g+t,v=b*t,x=v+t,y=0,i=g;i<m;i+=1)if(!(i>=n))for(o=v;o<x;o+=1)o>=r||(s=(n*o+i)*4,a+=S[s+0],l+=S[s+1],u+=S[s+2],d+=S[s+3],y+=1);for(a=a/y,l=l/y,u=u/y,d=d/y,i=g;i<m;i+=1)if(!(i>=n))for(o=v;o<x;o+=1)o>=r||(s=(n*o+i)*4,S[s+0]=a,S[s+1]=l,S[s+2]=u,S[s+3]=d)}};VS.Pixelate=cxe;pk.Factory.addGetterSetter(lxe.Node,"pixelSize",8,(0,uxe.getNumberValidator)(),pk.Factory.afterSetFilter);var jS={};Object.defineProperty(jS,"__esModule",{value:!0});jS.Posterize=void 0;const gk=nt,dxe=fn,fxe=ke,hxe=function(e){var t=Math.round(this.levels()*254)+1,n=e.data,r=n.length,i=255/t,o;for(o=0;o<r;o+=1)n[o]=Math.floor(n[o]/i)*i};jS.Posterize=hxe;gk.Factory.addGetterSetter(dxe.Node,"levels",.5,(0,fxe.getNumberValidator)(),gk.Factory.afterSetFilter);var GS={};Object.defineProperty(GS,"__esModule",{value:!0});GS.RGB=void 0;const n_=nt,OE=fn,pxe=ke,gxe=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s,a;for(s=0;s<n;s+=4)a=(.34*t[s]+.5*t[s+1]+.16*t[s+2])/255,t[s]=a*r,t[s+1]=a*i,t[s+2]=a*o,t[s+3]=t[s+3]};GS.RGB=gxe;n_.Factory.addGetterSetter(OE.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});n_.Factory.addGetterSetter(OE.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});n_.Factory.addGetterSetter(OE.Node,"blue",0,pxe.RGBComponent,n_.Factory.afterSetFilter);var HS={};Object.defineProperty(HS,"__esModule",{value:!0});HS.RGBA=void 0;const Dg=nt,WS=fn,mxe=ke,yxe=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a<n;a+=4)l=1-s,t[a]=r*s+t[a]*l,t[a+1]=i*s+t[a+1]*l,t[a+2]=o*s+t[a+2]*l};HS.RGBA=yxe;Dg.Factory.addGetterSetter(WS.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Dg.Factory.addGetterSetter(WS.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Dg.Factory.addGetterSetter(WS.Node,"blue",0,mxe.RGBComponent,Dg.Factory.afterSetFilter);Dg.Factory.addGetterSetter(WS.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var qS={};Object.defineProperty(qS,"__esModule",{value:!0});qS.Sepia=void 0;const vxe=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r<n;r+=4)i=t[r+0],o=t[r+1],s=t[r+2],t[r+0]=Math.min(255,i*.393+o*.769+s*.189),t[r+1]=Math.min(255,i*.349+o*.686+s*.168),t[r+2]=Math.min(255,i*.272+o*.534+s*.131)};qS.Sepia=vxe;var KS={};Object.defineProperty(KS,"__esModule",{value:!0});KS.Solarize=void 0;const _xe=function(e){var t=e.data,n=e.width,r=e.height,i=n*4,o=r;do{var s=(o-1)*i,a=n;do{var l=s+(a-1)*4,u=t[l],d=t[l+1],f=t[l+2];u>127&&(u=255-u),d>127&&(d=255-d),f>127&&(f=255-f),t[l]=u,t[l+1]=d,t[l+2]=f}while(--a)}while(--o)};KS.Solarize=_xe;var XS={};Object.defineProperty(XS,"__esModule",{value:!0});XS.Threshold=void 0;const mk=nt,bxe=fn,Sxe=ke,wxe=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=1)n[i]=n[i]<t?0:255};XS.Threshold=wxe;mk.Factory.addGetterSetter(bxe.Node,"threshold",.5,(0,Sxe.getNumberValidator)(),mk.Factory.afterSetFilter);Object.defineProperty(iS,"__esModule",{value:!0});iS.Konva=void 0;const yk=GU,xxe=cS,Cxe=hS,Txe=mS,Exe=yS,Axe=vS,vk=Rf,Pxe=Rm,Rxe=Hf,Oxe=km,kxe=SS,Ixe=wS,Mxe=xS,Nxe=CS,Lxe=uc,Dxe=TS,$xe=ES,Fxe=AS,Bxe=RS,Uxe=OS,zxe=kS,Vxe=IS,jxe=NS,Gxe=LS,Hxe=DS,Wxe=$S,qxe=FS,Kxe=BS,Xxe=US,Yxe=zS,Qxe=VS,Zxe=jS,Jxe=GS,eCe=HS,tCe=qS,nCe=KS,rCe=XS;iS.Konva=yk.Konva.Util._assign(yk.Konva,{Arc:xxe.Arc,Arrow:Cxe.Arrow,Circle:Txe.Circle,Ellipse:Exe.Ellipse,Image:Axe.Image,Label:vk.Label,Tag:vk.Tag,Line:Pxe.Line,Path:Rxe.Path,Rect:Oxe.Rect,RegularPolygon:kxe.RegularPolygon,Ring:Ixe.Ring,Sprite:Mxe.Sprite,Star:Nxe.Star,Text:Lxe.Text,TextPath:Dxe.TextPath,Transformer:$xe.Transformer,Wedge:Fxe.Wedge,Filters:{Blur:Bxe.Blur,Brighten:Uxe.Brighten,Contrast:zxe.Contrast,Emboss:Vxe.Emboss,Enhance:jxe.Enhance,Grayscale:Gxe.Grayscale,HSL:Hxe.HSL,HSV:Wxe.HSV,Invert:qxe.Invert,Kaleidoscope:Kxe.Kaleidoscope,Mask:Xxe.Mask,Noise:Yxe.Noise,Pixelate:Qxe.Pixelate,Posterize:Zxe.Posterize,RGB:Jxe.RGB,RGBA:eCe.RGBA,Sepia:tCe.Sepia,Solarize:nCe.Solarize,Threshold:rCe.Threshold}});var 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m=d?u:La.shouldUseCpuNoise,v=i.model_type==="onnx",x=v?rS:Or,_=v?"onnx_model_loader":"main_model_loader",b=v?{type:"t2l_onnx",id:cr,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"t2l",id:cr,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a},y={id:gE,nodes:{[vt]:{type:v?"prompt_onnx":"compel",id:vt,is_intermediate:!0,prompt:n},[Pt]:{type:v?"prompt_onnx":"compel",id:Pt,is_intermediate:!0,prompt:r},[mt]:{type:"noise",id:mt,is_intermediate:!0,width:f,height:p,use_cpu:m},[b.id]:b,[x]:{type:_,id:x,is_intermediate:!0,model:i},[qt]:{type:"clip_skip",id:qt,is_intermediate:!0,skipped_layers:l},[Rt]:{type:v?"l2i_onnx":"l2i",id:Rt,is_intermediate:!g}},edges:[{source:{node_id:Pt,field:"conditioning"},destination:{node_id:cr,field:"negative_conditioning"}},{source:{node_id:vt,field:"conditioning"},destination:{node_id:cr,field:"positive_conditioning"}},{source:{node_id:x,field:"clip"},destination:{node_id:qt,field:"clip"}},{source:{node_id:qt,field:"clip"},destination:{node_id:vt,field:"clip"}},{source:{node_id:qt,field:"clip"},destination:{node_id:Pt,field:"clip"}},{source:{node_id:x,field:"unet"},destination:{node_id:cr,field:"unet"}},{source:{node_id:cr,field:"latents"},destination:{node_id:Rt,field:"latents"}},{source:{node_id:mt,field:"noise"},destination:{node_id:cr,field:"noise"}}]};return y.nodes[It]={id:It,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,height:p,width:f,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:m?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:l},y.edges.push({source:{node_id:It,field:"metadata"},destination:{node_id:Rt,field:"metadata"}}),Im(e,y,cr,x),Mm(e,y,x),qf(e,y),YS(e,y,cr),e.system.shouldUseNSFWChecker&&Ec(e,y),e.system.shouldUseWatermarker&&Ac(e,y),y},yCe=(e,t,n,r)=>{let i;if(t==="txt2img")i=mCe(e);else if(t==="img2img"){if(!n)throw new Error("Missing canvas init image");i=pCe(e,n)}else{if(!n||!r)throw new Error("Missing canvas init and mask images");i=gCe(e,n,r)}return i},vCe=()=>{Pe({predicate:e=>Em.match(e)&&e.payload==="unifiedCanvas",effect:async(e,{getState:t,dispatch:n,take:r})=>{const i=Ie("session"),o=t(),{layerState:s,boundingBoxCoordinates:a,boundingBoxDimensions:l,isMaskEnabled:u,shouldPreserveMaskedArea:d}=o.canvas,f=await uCe(s,a,l,u,d);if(!f){i.error("Unable 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d3e={websocket:l3e,webtransport:c3e,polling:s3e},f3e=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,h3e=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function p5(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=f3e.exec(e||""),o={},s=14;for(;s--;)o[h3e[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=p3e(o,o.path),o.queryKey=g3e(o,o.query),o}function p3e(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function g3e(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let Bz=class Sd extends Gn{constructor(t,n={}){super(),this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=p5(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=p5(n.host).host),QS(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=e3e(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=Mz,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new d3e[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Sd.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;Sd.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",f=>{if(!r)if(f.type==="pong"&&f.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;Sd.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(d(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const p=new Error("probe error");p.transport=n.name,this.emitReserved("upgradeError",p)}}))};function o(){r||(r=!0,d(),n.close(),n=null)}const s=f=>{const p=new Error("probe error: "+f);p.transport=n.name,o(),this.emitReserved("upgradeError",p)};function a(){s("transport closed")}function l(){s("socket closed")}function u(f){n&&f.name!==n.name&&o()}const d=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",Sd.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=QCe(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){Sd.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};Bz.protocol=Mz;function m3e(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=p5(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const y3e=typeof ArrayBuffer=="function",v3e=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,Uz=Object.prototype.toString,_3e=typeof Blob=="function"||typeof Blob<"u"&&Uz.call(Blob)==="[object BlobConstructor]",b3e=typeof File=="function"||typeof File<"u"&&Uz.call(File)==="[object FileConstructor]";function LE(e){return y3e&&(e instanceof ArrayBuffer||v3e(e))||_3e&&e instanceof Blob||b3e&&e instanceof File}function xv(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(xv(e[n]))return!0;return!1}if(LE(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return xv(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&xv(e[n]))return!0;return!1}function S3e(e){const t=[],n=e.data,r=e;return r.data=g5(n,t),r.attachments=t.length,{packet:r,buffers:t}}function g5(e,t){if(!e)return e;if(LE(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=g5(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=g5(e[r],t));return n}return e}function w3e(e,t){return e.data=m5(e.data,t),delete e.attachments,e}function m5(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=m5(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=m5(e[n],t));return e}const x3e=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],C3e=5;var pt;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(pt||(pt={}));class T3e{constructor(t){this.replacer=t}encode(t){return(t.type===pt.EVENT||t.type===pt.ACK)&&xv(t)?this.encodeAsBinary({type:t.type===pt.EVENT?pt.BINARY_EVENT:pt.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===pt.BINARY_EVENT||t.type===pt.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=S3e(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function Ok(e){return Object.prototype.toString.call(e)==="[object Object]"}class DE extends Gn{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===pt.BINARY_EVENT;r||n.type===pt.BINARY_ACK?(n.type=r?pt.EVENT:pt.ACK,this.reconstructor=new E3e(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(LE(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(pt[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===pt.BINARY_EVENT||r.type===pt.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(DE.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case pt.CONNECT:return Ok(n);case pt.DISCONNECT:return n===void 0;case pt.CONNECT_ERROR:return typeof n=="string"||Ok(n);case pt.EVENT:case pt.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&x3e.indexOf(n[0])===-1);case pt.ACK:case pt.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class E3e{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=w3e(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const A3e=Object.freeze(Object.defineProperty({__proto__:null,Decoder:DE,Encoder:T3e,get PacketType(){return pt},protocol:C3e},Symbol.toStringTag,{value:"Module"}));function Uo(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const P3e=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class zz extends Gn{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[Uo(t,"open",this.onopen.bind(this)),Uo(t,"packet",this.onpacket.bind(this)),Uo(t,"error",this.onerror.bind(this)),Uo(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(P3e.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:pt.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:pt.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case pt.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case pt.EVENT:case pt.BINARY_EVENT:this.onevent(t);break;case pt.ACK:case pt.BINARY_ACK:this.onack(t);break;case pt.DISCONNECT:this.ondisconnect();break;case pt.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:pt.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:pt.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const n=this._anyOutgoingListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const n=this._anyOutgoingListeners.slice();for(const r of n)r.apply(this,t.data)}}}function Kf(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}Kf.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),n=Math.floor(t*this.jitter*e);e=Math.floor(t*10)&1?e+n:e-n}return Math.min(e,this.max)|0};Kf.prototype.reset=function(){this.attempts=0};Kf.prototype.setMin=function(e){this.ms=e};Kf.prototype.setMax=function(e){this.max=e};Kf.prototype.setJitter=function(e){this.jitter=e};class y5 extends Gn{constructor(t,n){var r;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(n=t,t=void 0),n=n||{},n.path=n.path||"/socket.io",this.opts=n,QS(this,n),this.reconnection(n.reconnection!==!1),this.reconnectionAttempts(n.reconnectionAttempts||1/0),this.reconnectionDelay(n.reconnectionDelay||1e3),this.reconnectionDelayMax(n.reconnectionDelayMax||5e3),this.randomizationFactor((r=n.randomizationFactor)!==null&&r!==void 0?r:.5),this.backoff=new Kf({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(n.timeout==null?2e4:n.timeout),this._readyState="closed",this.uri=t;const i=n.parser||A3e;this.encoder=new i.Encoder,this.decoder=new i.Decoder,this._autoConnect=n.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var n;return t===void 0?this._reconnectionDelay:(this._reconnectionDelay=t,(n=this.backoff)===null||n===void 0||n.setMin(t),this)}randomizationFactor(t){var n;return t===void 0?this._randomizationFactor:(this._randomizationFactor=t,(n=this.backoff)===null||n===void 0||n.setJitter(t),this)}reconnectionDelayMax(t){var n;return t===void 0?this._reconnectionDelayMax:(this._reconnectionDelayMax=t,(n=this.backoff)===null||n===void 0||n.setMax(t),this)}timeout(t){return arguments.length?(this._timeout=t,this):this._timeout}maybeReconnectOnOpen(){!this._reconnecting&&this._reconnection&&this.backoff.attempts===0&&this.reconnect()}open(t){if(~this._readyState.indexOf("open"))return this;this.engine=new Bz(this.uri,this.opts);const n=this.engine,r=this;this._readyState="opening",this.skipReconnect=!1;const i=Uo(n,"open",function(){r.onopen(),t&&t()}),o=a=>{this.cleanup(),this._readyState="closed",this.emitReserved("error",a),t?t(a):this.maybeReconnectOnOpen()},s=Uo(n,"error",o);if(this._timeout!==!1){const a=this._timeout,l=this.setTimeoutFn(()=>{i(),o(new Error("timeout")),n.close()},a);this.opts.autoUnref&&l.unref(),this.subs.push(()=>{this.clearTimeoutFn(l)})}return this.subs.push(i),this.subs.push(s),this}connect(t){return this.open(t)}onopen(){this.cleanup(),this._readyState="open",this.emitReserved("open");const t=this.engine;this.subs.push(Uo(t,"ping",this.onping.bind(this)),Uo(t,"data",this.ondata.bind(this)),Uo(t,"error",this.onerror.bind(this)),Uo(t,"close",this.onclose.bind(this)),Uo(this.decoder,"decoded",this.ondecoded.bind(this)))}onping(){this.emitReserved("ping")}ondata(t){try{this.decoder.add(t)}catch(n){this.onclose("parse error",n)}}ondecoded(t){NE(()=>{this.emitReserved("packet",t)},this.setTimeoutFn)}onerror(t){this.emitReserved("error",t)}socket(t,n){let r=this.nsps[t];return r?this._autoConnect&&!r.active&&r.connect():(r=new zz(this,t,n),this.nsps[t]=r),r}_destroy(t){const n=Object.keys(this.nsps);for(const r of n)if(this.nsps[r].active)return;this._close()}_packet(t){const n=this.encoder.encode(t);for(let r=0;r<n.length;r++)this.engine.write(n[r],t.options)}cleanup(){this.subs.forEach(t=>t()),this.subs.length=0,this.decoder.destroy()}_close(){this.skipReconnect=!0,this._reconnecting=!1,this.onclose("forced close"),this.engine&&this.engine.close()}disconnect(){return this._close()}onclose(t,n){this.cleanup(),this.backoff.reset(),this._readyState="closed",this.emitReserved("close",t,n),this._reconnection&&!this.skipReconnect&&this.reconnect()}reconnect(){if(this._reconnecting||this.skipReconnect)return this;const t=this;if(this.backoff.attempts>=this._reconnectionAttempts)this.backoff.reset(),this.emitReserved("reconnect_failed"),this._reconnecting=!1;else{const n=this.backoff.duration();this._reconnecting=!0;const r=this.setTimeoutFn(()=>{t.skipReconnect||(this.emitReserved("reconnect_attempt",t.backoff.attempts),!t.skipReconnect&&t.open(i=>{i?(t._reconnecting=!1,t.reconnect(),this.emitReserved("reconnect_error",i)):t.onreconnect()}))},n);this.opts.autoUnref&&r.unref(),this.subs.push(()=>{this.clearTimeoutFn(r)})}}onreconnect(){const t=this.backoff.attempts;this._reconnecting=!1,this.backoff.reset(),this.emitReserved("reconnect",t)}}const np={};function Cv(e,t){typeof e=="object"&&(t=e,e=void 0),t=t||{};const n=m3e(e,t.path||"/socket.io"),r=n.source,i=n.id,o=n.path,s=np[i]&&o in np[i].nsps,a=t.forceNew||t["force new connection"]||t.multiplex===!1||s;let l;return a?l=new y5(r,t):(np[i]||(np[i]=new y5(r,t)),l=np[i]),n.query&&!t.query&&(t.query=n.queryKey),l.socket(n.path,t)}Object.assign(Cv,{Manager:y5,Socket:zz,io:Cv,connect:Cv});const kk=()=>{let e=!1,n=`${window.location.protocol==="https:"?"wss":"ws"}://${window.location.host}`;const 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s}startAnimation(t){const{drag:n,dragMomentum:r,dragElastic:i,dragTransition:o,dragSnapToOrigin:s,onDragTransitionEnd:a}=this.getProps(),l=this.constraints||{},u=ps(d=>{if(!q0(d,n,this.currentDirection))return;let f=l&&l[d]||{};s&&(f={min:0,max:0});const p=i?200:1e6,g=i?40:1e7,m={type:"inertia",velocity:r?t[d]:0,bounceStiffness:p,bounceDamping:g,timeConstant:750,restDelta:1,restSpeed:10,...o,...f};return this.startAxisValueAnimation(d,m)});return Promise.all(u).then(a)}startAxisValueAnimation(t,n){const r=this.getAxisMotionValue(t);return r.start(a6(t,r,0,n))}stopAnimation(){ps(t=>this.getAxisMotionValue(t).stop())}getAxisMotionValue(t){const n="_drag"+t.toUpperCase(),r=this.visualElement.getProps(),i=r[n];return i||this.visualElement.getValue(t,(r.initial?r.initial[t]:void 0)||0)}snapToCursor(t){ps(n=>{const{drag:r}=this.getProps();if(!q0(n,r,this.currentDirection))return;const{projection:i}=this.visualElement,o=this.getAxisMotionValue(n);if(i&&i.layout){const{min:s,max:a}=i.layout.layoutBox[n];o.set(t[n]-vn(s,a,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!$d(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};ps(s=>{const a=this.getAxisMotionValue(s);if(a){const l=a.get();i[s]=Q6e({min:l,max:l},this.constraints[s])}});const{transformTemplate:o}=this.visualElement.getProps();this.visualElement.current.style.transform=o?o({},""):"none",r.root&&r.root.updateScroll(),r.updateLayout(),this.resolveConstraints(),ps(s=>{if(!q0(s,t,null))return;const a=this.getAxisMotionValue(s),{min:l,max:u}=this.constraints[s];a.set(vn(l,u,i[s]))})}addListeners(){if(!this.visualElement.current)return;sAe.set(this.visualElement,this);const t=this.visualElement.current,n=Sa(t,"pointerdown",l=>{const{drag:u,dragListener:d=!0}=this.getProps();u&&d&&this.start(l)}),r=()=>{const{dragConstraints:l}=this.getProps();$d(l)&&(this.constraints=this.resolveRefConstraints())},{projection:i}=this.visualElement,o=i.addEventListener("measure",r);i&&!i.layout&&(i.root&&i.root.updateScroll(),i.updateLayout()),r();const s=ma(window,"resize",()=>this.scalePositionWithinConstraints()),a=i.addEventListener("didUpdate",({delta:l,hasLayoutChanged:u})=>{this.isDragging&&u&&(ps(d=>{const f=this.getAxisMotionValue(d);f&&(this.originPoint[d]+=l[d].translate,f.set(f.get()+l[d].translate))}),this.visualElement.render())});return()=>{s(),n(),o(),a&&a()}}getProps(){const t=this.visualElement.getProps(),{drag:n=!1,dragDirectionLock:r=!1,dragPropagation:i=!1,dragConstraints:o=!1,dragElastic:s=L5,dragMomentum:a=!0}=t;return{...t,drag:n,dragDirectionLock:r,dragPropagation:i,dragConstraints:o,dragElastic:s,dragMomentum:a}}}function q0(e,t,n){return(t===!0||t===e)&&(n===null||n===e)}function lAe(e,t=10){let n=null;return Math.abs(e.y)>t?n="y":Math.abs(e.x)>t&&(n="x"),n}class uAe extends lu{constructor(t){super(t),this.removeGroupControls=jn,this.removeListeners=jn,this.controls=new aAe(t)}mount(){const{dragControls:t}=this.node.getProps();t&&(this.removeGroupControls=t.subscribe(this.controls)),this.removeListeners=this.controls.addListeners()||jn}unmount(){this.removeGroupControls(),this.removeListeners()}}const OI=e=>(t,n)=>{e&&dn.update(()=>e(t,n))};class cAe extends lu{constructor(){super(...arguments),this.removePointerDownListener=jn}onPointerDown(t){this.session=new vj(t,this.createPanHandlers(),{transformPagePoint:this.node.getTransformPagePoint()})}createPanHandlers(){const{onPanSessionStart:t,onPanStart:n,onPan:r,onPanEnd:i}=this.node.getProps();return{onSessionStart:OI(t),onStart:OI(n),onMove:r,onEnd:(o,s)=>{delete this.session,i&&dn.update(()=>i(o,s))}}}mount(){this.removePointerDownListener=Sa(this.node.current,"pointerdown",t=>this.onPointerDown(t))}update(){this.session&&this.session.updateHandlers(this.createPanHandlers())}unmount(){this.removePointerDownListener(),this.session&&this.session.end()}}function dAe(){const e=L.useContext(Lm);if(e===null)return[!0,null];const{isPresent:t,onExitComplete:n,register:r}=e,i=L.useId();return L.useEffect(()=>r(i),[]),!t&&n?[!1,()=>n&&n(i)]:[!0]}function CMe(){return fAe(L.useContext(Lm))}function fAe(e){return e===null?!0:e.isPresent}const kv={hasAnimatedSinceResize:!0,hasEverUpdated:!1};function kI(e,t){return t.max===t.min?0:e/(t.max-t.min)*100}const op={correct:(e,t)=>{if(!t.target)return e;if(typeof e=="string")if(Be.test(e))e=parseFloat(e);else return e;const n=kI(e,t.target.x),r=kI(e,t.target.y);return`${n}% ${r}%`}},hAe={correct:(e,{treeScale:t,projectionDelta:n})=>{const r=e,i=Kl.parse(e);if(i.length>5)return r;const o=Kl.createTransformer(e),s=typeof i[0]!="number"?1:0,a=n.x.scale*t.x,l=n.y.scale*t.y;i[0+s]/=a,i[1+s]/=l;const u=vn(a,l,.5);return typeof i[2+s]=="number"&&(i[2+s]/=u),typeof i[3+s]=="number"&&(i[3+s]/=u),o(i)}};class pAe extends Lt.Component{componentDidMount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r,layoutId:i}=this.props,{projection:o}=t;STe(gAe),o&&(n.group&&n.group.add(o),r&&r.register&&i&&r.register(o),o.root.didUpdate(),o.addEventListener("animationComplete",()=>{this.safeToRemove()}),o.setOptions({...o.options,onExitComplete:()=>this.safeToRemove()})),kv.hasEverUpdated=!0}getSnapshotBeforeUpdate(t){const{layoutDependency:n,visualElement:r,drag:i,isPresent:o}=this.props,s=r.projection;return s&&(s.isPresent=o,i||t.layoutDependency!==n||n===void 0?s.willUpdate():this.safeToRemove(),t.isPresent!==o&&(o?s.promote():s.relegate()||dn.postRender(()=>{const a=s.getStack();(!a||!a.members.length)&&this.safeToRemove()}))),null}componentDidUpdate(){const{projection:t}=this.props.visualElement;t&&(t.root.didUpdate(),queueMicrotask(()=>{!t.currentAnimation&&t.isLead()&&this.safeToRemove()}))}componentWillUnmount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r}=this.props,{projection:i}=t;i&&(i.scheduleCheckAfterUnmount(),n&&n.group&&n.group.remove(i),r&&r.deregister&&r.deregister(i))}safeToRemove(){const{safeToRemove:t}=this.props;t&&t()}render(){return null}}function Cj(e){const[t,n]=dAe(),r=L.useContext(qE);return Lt.createElement(pAe,{...e,layoutGroup:r,switchLayoutGroup:L.useContext(_V),isPresent:t,safeToRemove:n})}const gAe={borderRadius:{...op,applyTo:["borderTopLeftRadius","borderTopRightRadius","borderBottomLeftRadius","borderBottomRightRadius"]},borderTopLeftRadius:op,borderTopRightRadius:op,borderBottomLeftRadius:op,borderBottomRightRadius:op,boxShadow:hAe},Tj=["TopLeft","TopRight","BottomLeft","BottomRight"],mAe=Tj.length,II=e=>typeof e=="string"?parseFloat(e):e,MI=e=>typeof e=="number"||Be.test(e);function yAe(e,t,n,r,i,o){i?(e.opacity=vn(0,n.opacity!==void 0?n.opacity:1,vAe(r)),e.opacityExit=vn(t.opacity!==void 0?t.opacity:1,0,_Ae(r))):o&&(e.opacity=vn(t.opacity!==void 0?t.opacity:1,n.opacity!==void 0?n.opacity:1,r));for(let s=0;s<mAe;s++){const a=`border${Tj[s]}Radius`;let l=NI(t,a),u=NI(n,a);if(l===void 0&&u===void 0)continue;l||(l=0),u||(u=0),l===0||u===0||MI(l)===MI(u)?(e[a]=Math.max(vn(II(l),II(u),r),0),(Is.test(u)||Is.test(l))&&(e[a]+="%")):e[a]=u}(t.rotate||n.rotate)&&(e.rotate=vn(t.rotate||0,n.rotate||0,r))}function NI(e,t){return e[t]!==void 0?e[t]:e.borderRadius}const vAe=Ej(0,.5,r6),_Ae=Ej(.5,.95,jn);function Ej(e,t,n){return r=>r<e?0:r>t?1:n(jg(e,t,r))}function LI(e,t){e.min=t.min,e.max=t.max}function fo(e,t){LI(e.x,t.x),LI(e.y,t.y)}function DI(e,t,n,r,i){return e-=t,e=g_(e,1/n,r),i!==void 0&&(e=g_(e,1/i,r)),e}function bAe(e,t=0,n=1,r=.5,i,o=e,s=e){if(Is.test(t)&&(t=parseFloat(t),t=vn(s.min,s.max,t/100)-s.min),typeof t!="number")return;let a=vn(o.min,o.max,r);e===o&&(a-=t),e.min=DI(e.min,t,n,a,i),e.max=DI(e.max,t,n,a,i)}function $I(e,t,[n,r,i],o,s){bAe(e,t[n],t[r],t[i],t.scale,o,s)}const SAe=["x","scaleX","originX"],wAe=["y","scaleY","originY"];function FI(e,t,n,r){$I(e.x,t,SAe,n?n.x:void 0,r?r.x:void 0),$I(e.y,t,wAe,n?n.y:void 0,r?r.y:void 0)}function BI(e){return e.translate===0&&e.scale===1}function Aj(e){return BI(e.x)&&BI(e.y)}function F5(e,t){return e.x.min===t.x.min&&e.x.max===t.x.max&&e.y.min===t.y.min&&e.y.max===t.y.max}function UI(e){return Xi(e.x)/Xi(e.y)}class xAe{constructor(){this.members=[]}add(t){l6(this.members,t),t.scheduleRender()}remove(t){if(u6(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function zI(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) `),(t.x!==1||t.y!==1)&&(r+=`scale(${1/t.x}, ${1/t.y}) `),n){const{rotate:l,rotateX:u,rotateY:d}=n;l&&(r+=`rotate(${l}deg) `),u&&(r+=`rotateX(${u}deg) `),d&&(r+=`rotateY(${d}deg) `)}const s=e.x.scale*t.x,a=e.y.scale*t.y;return(s!==1||a!==1)&&(r+=`scale(${s}, ${a})`),r||"none"}const CAe=(e,t)=>e.depth-t.depth;class TAe{constructor(){this.children=[],this.isDirty=!1}add(t){l6(this.children,t),this.isDirty=!0}remove(t){u6(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(CAe),this.isDirty=!1,this.children.forEach(t)}}function EAe(e,t){const n=performance.now(),r=({timestamp:i})=>{const o=i-n;o>=t&&(ka(r),e(o-t))};return dn.read(r,!0),()=>ka(r)}function AAe(e){window.MotionDebug&&window.MotionDebug.record(e)}function PAe(e){return e instanceof SVGElement&&e.tagName!=="svg"}function RAe(e,t,n){const r=ki(e)?e:Mf(e);return r.start(a6("",r,t,n)),r.animation}const VI=["","X","Y","Z"],jI=1e3;let OAe=0;const Ru={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function Pj({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(s={},a=t==null?void 0:t()){this.id=OAe++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Ru.totalNodes=Ru.resolvedTargetDeltas=Ru.recalculatedProjection=0,this.nodes.forEach(MAe),this.nodes.forEach(FAe),this.nodes.forEach(BAe),this.nodes.forEach(NAe),AAe(Ru)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new TAe)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new c6),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=PAe(s),this.instance=s;const{layoutId:l,layout:u,visualElement:d}=this.options;if(d&&!d.current&&d.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let f;const p=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,f&&f(),f=EAe(p,250),kv.hasAnimatedSinceResize&&(kv.hasAnimatedSinceResize=!1,this.nodes.forEach(HI))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&d&&(l||u)&&this.addEventListener("didUpdate",({delta:f,hasLayoutChanged:p,hasRelativeTargetChanged:g,layout:m})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const v=this.options.transition||d.getDefaultTransition()||GAe,{onLayoutAnimationStart:x,onLayoutAnimationComplete:_}=d.getProps(),b=!this.targetLayout||!F5(this.targetLayout,m)||g,y=!p&&g;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||y||p&&(b||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(f,y);const S={...pj(v,"layout"),onPlay:x,onComplete:_};(d.shouldReduceMotion||this.options.layoutRoot)&&(S.delay=0,S.type=!1),this.startAnimation(S)}else p||HI(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=m})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,ka(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(UAe),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let d=0;d<this.path.length;d++){const f=this.path[d];f.shouldResetTransform=!0,f.updateScroll("snapshot"),f.options.layoutRoot&&f.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(GI);return}this.isUpdating||this.nodes.forEach(DAe),this.isUpdating=!1,this.nodes.forEach($Ae),this.nodes.forEach(kAe),this.nodes.forEach(IAe),this.clearAllSnapshots();const a=performance.now();Vr.delta=ql(0,1e3/60,a-Vr.timestamp),Vr.timestamp=a,Vr.isProcessing=!0,Qx.update.process(Vr),Qx.preRender.process(Vr),Qx.render.process(Vr),Vr.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach(LAe),this.sharedNodes.forEach(zAe)}scheduleUpdateProjection(){dn.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){dn.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=Fn(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!Aj(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,d=u!==this.prevTransformTemplateValue;s&&(a||Pu(this.latestValues)||d)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),HAe(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return Fn();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(fl(a.x,l.offset.x),fl(a.y,l.offset.y)),a}removeElementScroll(s){const a=Fn();fo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:d,options:f}=u;if(u!==this.root&&d&&f.layoutScroll){if(d.isRoot){fo(a,s);const{scroll:p}=this.root;p&&(fl(a.x,-p.offset.x),fl(a.y,-p.offset.y))}fl(a.x,d.offset.x),fl(a.y,d.offset.y)}}return a}applyTransform(s,a=!1){const l=Fn();fo(l,s);for(let u=0;u<this.path.length;u++){const d=this.path[u];!a&&d.options.layoutScroll&&d.scroll&&d!==d.root&&Ud(l,{x:-d.scroll.offset.x,y:-d.scroll.offset.y}),Pu(d.latestValues)&&Ud(l,d.latestValues)}return Pu(this.latestValues)&&Ud(l,this.latestValues),l}removeTransform(s){const a=Fn();fo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!Pu(u.latestValues))continue;D5(u.latestValues)&&u.updateSnapshot();const d=Fn(),f=u.measurePageBox();fo(d,f),FI(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,d)}return Pu(this.latestValues)&&FI(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==Vr.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:f,layoutId:p}=this.options;if(!(!this.layout||!(f||p))){if(this.resolvedRelativeTargetAt=Vr.timestamp,!this.targetDelta&&!this.relativeTarget){const g=this.getClosestProjectingParent();g&&g.layout&&this.animationProgress!==1?(this.relativeParent=g,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Fn(),this.relativeTargetOrigin=Fn(),Mp(this.relativeTargetOrigin,this.layout.layoutBox,g.layout.layoutBox),fo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=Fn(),this.targetWithTransforms=Fn()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),q6e(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):fo(this.target,this.layout.layoutBox),wj(this.target,this.targetDelta)):fo(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const g=this.getClosestProjectingParent();g&&!!g.resumingFrom==!!this.resumingFrom&&!g.options.layoutScroll&&g.target&&this.animationProgress!==1?(this.relativeParent=g,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Fn(),this.relativeTargetOrigin=Fn(),Mp(this.relativeTargetOrigin,this.target,g.target),fo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Ru.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||D5(this.parent.latestValues)||Sj(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===Vr.timestamp&&(u=!1),u)return;const{layout:d,layoutId:f}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(d||f))return;fo(this.layoutCorrected,this.layout.layoutBox);const p=this.treeScale.x,g=this.treeScale.y;nAe(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:m}=a;if(!m){this.projectionTransform&&(this.projectionDelta=Bd(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=Bd(),this.projectionDeltaWithTransform=Bd());const v=this.projectionTransform;Ip(this.projectionDelta,this.layoutCorrected,m,this.latestValues),this.projectionTransform=zI(this.projectionDelta,this.treeScale),(this.projectionTransform!==v||this.treeScale.x!==p||this.treeScale.y!==g)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",m)),Ru.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},d={...this.latestValues},f=Bd();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const p=Fn(),g=l?l.source:void 0,m=this.layout?this.layout.source:void 0,v=g!==m,x=this.getStack(),_=!x||x.members.length<=1,b=!!(v&&!_&&this.options.crossfade===!0&&!this.path.some(jAe));this.animationProgress=0;let y;this.mixTargetDelta=S=>{const C=S/1e3;WI(f.x,s.x,C),WI(f.y,s.y,C),this.setTargetDelta(f),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Mp(p,this.layout.layoutBox,this.relativeParent.layout.layoutBox),VAe(this.relativeTarget,this.relativeTargetOrigin,p,C),y&&F5(this.relativeTarget,y)&&(this.isProjectionDirty=!1),y||(y=Fn()),fo(y,this.relativeTarget)),v&&(this.animationValues=d,yAe(d,u,this.latestValues,C,b,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=C},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(ka(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=dn.update(()=>{kv.hasAnimatedSinceResize=!0,this.currentAnimation=RAe(0,jI,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(jI),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:d}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&Rj(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Fn();const f=Xi(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+f;const p=Xi(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+p}fo(a,l),Ud(a,d),Ip(this.projectionDeltaWithTransform,this.layoutCorrected,a,d)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new xAe),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let d=0;d<VI.length;d++){const f="rotate"+VI[d];l[f]&&(u[f]=l[f],s.setStaticValue(f,0))}s.render();for(const d in u)s.setStaticValue(d,u[d]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const d=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=Ov(s.pointerEvents)||"",u.transform=d?d(this.latestValues,""):"none",u;const f=this.getLead();if(!this.projectionDelta||!this.layout||!f.target){const v={};return this.options.layoutId&&(v.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,v.pointerEvents=Ov(s.pointerEvents)||""),this.hasProjected&&!Pu(this.latestValues)&&(v.transform=d?d({},""):"none",this.hasProjected=!1),v}const p=f.animationValues||f.latestValues;this.applyTransformsToTarget(),u.transform=zI(this.projectionDeltaWithTransform,this.treeScale,p),d&&(u.transform=d(p,u.transform));const{x:g,y:m}=this.projectionDelta;u.transformOrigin=`${g.origin*100}% ${m.origin*100}% 0`,f.animationValues?u.opacity=f===this?(l=(a=p.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:p.opacityExit:u.opacity=f===this?p.opacity!==void 0?p.opacity:"":p.opacityExit!==void 0?p.opacityExit:0;for(const v in l_){if(p[v]===void 0)continue;const{correct:x,applyTo:_}=l_[v],b=u.transform==="none"?p[v]:x(p[v],f);if(_){const y=_.length;for(let S=0;S<y;S++)u[_[S]]=b}else u[v]=b}return this.options.layoutId&&(u.pointerEvents=f===this?Ov(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(GI),this.root.sharedNodes.clear()}}}function kAe(e){e.updateLayout()}function IAe(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?ps(f=>{const p=s?n.measuredBox[f]:n.layoutBox[f],g=Xi(p);p.min=r[f].min,p.max=p.min+g}):Rj(o,n.layoutBox,r)&&ps(f=>{const p=s?n.measuredBox[f]:n.layoutBox[f],g=Xi(r[f]);p.max=p.min+g,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[f].max=e.relativeTarget[f].min+g)});const a=Bd();Ip(a,r,n.layoutBox);const l=Bd();s?Ip(l,e.applyTransform(i,!0),n.measuredBox):Ip(l,r,n.layoutBox);const u=!Aj(a);let d=!1;if(!e.resumeFrom){const f=e.getClosestProjectingParent();if(f&&!f.resumeFrom){const{snapshot:p,layout:g}=f;if(p&&g){const m=Fn();Mp(m,n.layoutBox,p.layoutBox);const v=Fn();Mp(v,r,g.layoutBox),F5(m,v)||(d=!0),f.options.layoutRoot&&(e.relativeTarget=v,e.relativeTargetOrigin=m,e.relativeParent=f)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:d})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function MAe(e){Ru.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function NAe(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function LAe(e){e.clearSnapshot()}function GI(e){e.clearMeasurements()}function DAe(e){e.isLayoutDirty=!1}function $Ae(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function HI(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function FAe(e){e.resolveTargetDelta()}function BAe(e){e.calcProjection()}function UAe(e){e.resetRotation()}function zAe(e){e.removeLeadSnapshot()}function WI(e,t,n){e.translate=vn(t.translate,0,n),e.scale=vn(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function qI(e,t,n,r){e.min=vn(t.min,n.min,r),e.max=vn(t.max,n.max,r)}function VAe(e,t,n,r){qI(e.x,t.x,n.x,r),qI(e.y,t.y,n.y,r)}function jAe(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const GAe={duration:.45,ease:[.4,0,.1,1]};function KI(e){e.min=Math.round(e.min*2)/2,e.max=Math.round(e.max*2)/2}function HAe(e){KI(e.x),KI(e.y)}function Rj(e,t,n){return e==="position"||e==="preserve-aspect"&&!N5(UI(t),UI(n),.2)}const WAe=Pj({attachResizeListener:(e,t)=>ma(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),uC={current:void 0},Oj=Pj({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!uC.current){const e=new WAe({});e.mount(window),e.setOptions({layoutScroll:!0}),uC.current=e}return uC.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>window.getComputedStyle(e).position==="fixed"}),qAe={pan:{Feature:cAe},drag:{Feature:uAe,ProjectionNode:Oj,MeasureLayout:Cj}},KAe=/var\((--[a-zA-Z0-9-_]+),? ?([a-zA-Z0-9 ()%#.,-]+)?\)/;function XAe(e){const t=KAe.exec(e);if(!t)return[,];const[,n,r]=t;return[n,r]}function B5(e,t,n=1){const[r,i]=XAe(e);if(!r)return;const o=window.getComputedStyle(t).getPropertyValue(r);return o?o.trim():A5(i)?B5(i,t,n+1):i}function YAe(e,{...t},n){const r=e.current;if(!(r instanceof Element))return{target:t,transitionEnd:n};n&&(n={...n}),e.values.forEach(i=>{const o=i.get();if(!A5(o))return;const s=B5(o,r);s&&i.set(s)});for(const i in t){const o=t[i];if(!A5(o))continue;const s=B5(o,r);s&&(t[i]=s,n||(n={}),n[i]===void 0&&(n[i]=o))}return{target:t,transitionEnd:n}}const QAe=new Set(["width","height","top","left","right","bottom","x","y","translateX","translateY"]),kj=e=>QAe.has(e),ZAe=e=>Object.keys(e).some(kj),XI=e=>e===Oc||e===Be,YI=(e,t)=>parseFloat(e.split(", ")[t]),QI=(e,t)=>(n,{transform:r})=>{if(r==="none"||!r)return 0;const i=r.match(/^matrix3d\((.+)\)$/);if(i)return YI(i[1],t);{const o=r.match(/^matrix\((.+)\)$/);return o?YI(o[1],e):0}},JAe=new Set(["x","y","z"]),ePe=Dm.filter(e=>!JAe.has(e));function tPe(e){const t=[];return ePe.forEach(n=>{const r=e.getValue(n);r!==void 0&&(t.push([n,r.get()]),r.set(n.startsWith("scale")?1:0))}),t.length&&e.render(),t}const Nf={width:({x:e},{paddingLeft:t="0",paddingRight:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),height:({y:e},{paddingTop:t="0",paddingBottom:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),top:(e,{top:t})=>parseFloat(t),left:(e,{left:t})=>parseFloat(t),bottom:({y:e},{top:t})=>parseFloat(t)+(e.max-e.min),right:({x:e},{left:t})=>parseFloat(t)+(e.max-e.min),x:QI(4,13),y:QI(5,14)};Nf.translateX=Nf.x;Nf.translateY=Nf.y;const nPe=(e,t,n)=>{const r=t.measureViewportBox(),i=t.current,o=getComputedStyle(i),{display:s}=o,a={};s==="none"&&t.setStaticValue("display",e.display||"block"),n.forEach(u=>{a[u]=Nf[u](r,o)}),t.render();const l=t.measureViewportBox();return n.forEach(u=>{const d=t.getValue(u);d&&d.jump(a[u]),e[u]=Nf[u](l,o)}),e},rPe=(e,t,n={},r={})=>{t={...t},r={...r};const i=Object.keys(t).filter(kj);let o=[],s=!1;const a=[];if(i.forEach(l=>{const u=e.getValue(l);if(!e.hasValue(l))return;let d=n[l],f=ip(d);const p=t[l];let g;if(c_(p)){const m=p.length,v=p[0]===null?1:0;d=p[v],f=ip(d);for(let x=v;x<m&&p[x]!==null;x++)g?n6(ip(p[x])===g):g=ip(p[x])}else g=ip(p);if(f!==g)if(XI(f)&&XI(g)){const m=u.get();typeof m=="string"&&u.set(parseFloat(m)),typeof p=="string"?t[l]=parseFloat(p):Array.isArray(p)&&g===Be&&(t[l]=p.map(parseFloat))}else f!=null&&f.transform&&(g!=null&&g.transform)&&(d===0||p===0)?d===0?u.set(g.transform(d)):t[l]=f.transform(p):(s||(o=tPe(e),s=!0),a.push(l),r[l]=r[l]!==void 0?r[l]:t[l],u.jump(p))}),a.length){const l=a.indexOf("height")>=0?window.pageYOffset:null,u=nPe(t,e,a);return o.length&&o.forEach(([d,f])=>{e.getValue(d).set(f)}),e.render(),i2&&l!==null&&window.scrollTo({top:l}),{target:u,transitionEnd:r}}else return{target:t,transitionEnd:r}};function iPe(e,t,n,r){return ZAe(t)?rPe(e,t,n,r):{target:t,transitionEnd:r}}const oPe=(e,t,n,r)=>{const i=YAe(e,t,r);return t=i.target,r=i.transitionEnd,iPe(e,t,n,r)},U5={current:null},Ij={current:!1};function sPe(){if(Ij.current=!0,!!i2)if(window.matchMedia){const e=window.matchMedia("(prefers-reduced-motion)"),t=()=>U5.current=e.matches;e.addListener(t),t()}else U5.current=!1}function aPe(e,t,n){const{willChange:r}=t;for(const i in t){const o=t[i],s=n[i];if(ki(o))e.addValue(i,o),p_(r)&&r.add(i);else if(ki(s))e.addValue(i,Mf(o,{owner:e})),p_(r)&&r.remove(i);else if(s!==o)if(e.hasValue(i)){const a=e.getValue(i);!a.hasAnimated&&a.set(o)}else{const a=e.getStaticValue(i);e.addValue(i,Mf(a!==void 0?a:o,{owner:e}))}}for(const i in n)t[i]===void 0&&e.removeValue(i);return t}const ZI=new WeakMap,Mj=Object.keys(Vg),lPe=Mj.length,JI=["AnimationStart","AnimationComplete","Update","BeforeLayoutMeasure","LayoutMeasure","LayoutAnimationStart","LayoutAnimationComplete"],uPe=WE.length;class cPe{constructor({parent:t,props:n,presenceContext:r,reducedMotionConfig:i,visualState:o},s={}){this.current=null,this.children=new Set,this.isVariantNode=!1,this.isControllingVariants=!1,this.shouldReduceMotion=null,this.values=new Map,this.features={},this.valueSubscriptions=new Map,this.prevMotionValues={},this.events={},this.propEventSubscriptions={},this.notifyUpdate=()=>this.notify("Update",this.latestValues),this.render=()=>{this.current&&(this.triggerBuild(),this.renderInstance(this.current,this.renderState,this.props.style,this.projection))},this.scheduleRender=()=>dn.render(this.render,!1,!0);const{latestValues:a,renderState:l}=o;this.latestValues=a,this.baseTarget={...a},this.initialValues=n.initial?{...a}:{},this.renderState=l,this.parent=t,this.props=n,this.presenceContext=r,this.depth=t?t.depth+1:0,this.reducedMotionConfig=i,this.options=s,this.isControllingVariants=s2(n),this.isVariantNode=vV(n),this.isVariantNode&&(this.variantChildren=new Set),this.manuallyAnimateOnMount=!!(t&&t.current);const{willChange:u,...d}=this.scrapeMotionValuesFromProps(n,{});for(const f in d){const p=d[f];a[f]!==void 0&&ki(p)&&(p.set(a[f],!1),p_(u)&&u.add(f))}}scrapeMotionValuesFromProps(t,n){return{}}mount(t){this.current=t,ZI.set(t,this),this.projection&&!this.projection.instance&&this.projection.mount(t),this.parent&&this.isVariantNode&&!this.isControllingVariants&&(this.removeFromVariantTree=this.parent.addVariantChild(this)),this.values.forEach((n,r)=>this.bindToMotionValue(r,n)),Ij.current||sPe(),this.shouldReduceMotion=this.reducedMotionConfig==="never"?!1:this.reducedMotionConfig==="always"?!0:U5.current,this.parent&&this.parent.children.add(this),this.update(this.props,this.presenceContext)}unmount(){ZI.delete(this.current),this.projection&&this.projection.unmount(),ka(this.notifyUpdate),ka(this.render),this.valueSubscriptions.forEach(t=>t()),this.removeFromVariantTree&&this.removeFromVariantTree(),this.parent&&this.parent.children.delete(this);for(const t in this.events)this.events[t].clear();for(const t in this.features)this.features[t].unmount();this.current=null}bindToMotionValue(t,n){const r=Rc.has(t),i=n.on("change",s=>{this.latestValues[t]=s,this.props.onUpdate&&dn.update(this.notifyUpdate,!1,!0),r&&this.projection&&(this.projection.isTransformDirty=!0)}),o=n.on("renderRequest",this.scheduleRender);this.valueSubscriptions.set(t,()=>{i(),o()})}sortNodePosition(t){return!this.current||!this.sortInstanceNodePosition||this.type!==t.type?0:this.sortInstanceNodePosition(this.current,t.current)}loadFeatures({children:t,...n},r,i,o){let s,a;for(let l=0;l<lPe;l++){const u=Mj[l],{isEnabled:d,Feature:f,ProjectionNode:p,MeasureLayout:g}=Vg[u];p&&(s=p),d(n)&&(!this.features[u]&&f&&(this.features[u]=new f(this)),g&&(a=g))}if(!this.projection&&s){this.projection=new s(this.latestValues,this.parent&&this.parent.projection);const{layoutId:l,layout:u,drag:d,dragConstraints:f,layoutScroll:p,layoutRoot:g}=n;this.projection.setOptions({layoutId:l,layout:u,alwaysMeasureLayout:!!d||f&&$d(f),visualElement:this,scheduleRender:()=>this.scheduleRender(),animationType:typeof u=="string"?u:"both",initialPromotionConfig:o,layoutScroll:p,layoutRoot:g})}return a}updateFeatures(){for(const t in this.features){const n=this.features[t];n.isMounted?n.update():(n.mount(),n.isMounted=!0)}}triggerBuild(){this.build(this.renderState,this.latestValues,this.options,this.props)}measureViewportBox(){return this.current?this.measureInstanceViewportBox(this.current,this.props):Fn()}getStaticValue(t){return this.latestValues[t]}setStaticValue(t,n){this.latestValues[t]=n}makeTargetAnimatable(t,n=!0){return 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u=S8e(a).reduce((f,p)=>f+y8e(r,p),0),d=Number((u/4).toFixed(4));i.push({id:s,data:{droppableContainer:o,value:d}})}}return i.sort(_8e)};function A8e(e,t,n){return{...e,scaleX:t&&n?t.width/n.width:1,scaleY:t&&n?t.height/n.height:1}}function qj(e,t){return e&&t?{x:e.left-t.left,y:e.top-t.top}:ts}function P8e(e){return function(n){for(var r=arguments.length,i=new Array(r>1?r-1:0),o=1;o<r;o++)i[o-1]=arguments[o];return i.reduce((s,a)=>({...s,top:s.top+e*a.y,bottom:s.bottom+e*a.y,left:s.left+e*a.x,right:s.right+e*a.x}),{...n})}}const R8e=P8e(1);function Kj(e){if(e.startsWith("matrix3d(")){const t=e.slice(9,-1).split(/, /);return{x:+t[12],y:+t[13],scaleX:+t[0],scaleY:+t[5]}}else if(e.startsWith("matrix(")){const t=e.slice(7,-1).split(/, /);return{x:+t[4],y:+t[5],scaleX:+t[0],scaleY:+t[3]}}return null}function O8e(e,t,n){const r=Kj(t);if(!r)return e;const{scaleX:i,scaleY:o,x:s,y:a}=r,l=e.left-s-(1-i)*parseFloat(n),u=e.top-a-(1-o)*parseFloat(n.slice(n.indexOf(" ")+1)),d=i?e.width/i:e.width,f=o?e.height/o:e.height;return{width:d,height:f,top:u,right:l+d,bottom:u+f,left:l}}const k8e={ignoreTransform:!1};function Vm(e,t){t===void 0&&(t=k8e);let n=e.getBoundingClientRect();if(t.ignoreTransform){const{transform:u,transformOrigin:d}=fi(e).getComputedStyle(e);u&&(n=O8e(n,u,d))}const{top:r,left:i,width:o,height:s,bottom:a,right:l}=n;return{top:r,left:i,width:o,height:s,bottom:a,right:l}}function a7(e){return Vm(e,{ignoreTransform:!0})}function I8e(e){const t=e.innerWidth,n=e.innerHeight;return{top:0,left:0,right:t,bottom:n,width:t,height:n}}function M8e(e,t){return t===void 0&&(t=fi(e).getComputedStyle(e)),t.position==="fixed"}function N8e(e,t){t===void 0&&(t=fi(e).getComputedStyle(e));const n=/(auto|scroll|overlay)/;return["overflow","overflowX","overflowY"].some(i=>{const o=t[i];return typeof o=="string"?n.test(o):!1})}function y6(e,t){const n=[];function r(i){if(t!=null&&n.length>=t||!i)return n;if(g6(i)&&i.scrollingElement!=null&&!n.includes(i.scrollingElement))return n.push(i.scrollingElement),n;if(!Um(i)||t8e(i)||n.includes(i))return n;const o=fi(e).getComputedStyle(i);return i!==e&&N8e(i,o)&&n.push(i),M8e(i,o)?n:r(i.parentNode)}return e?r(e):n}function Xj(e){const[t]=y6(e,1);return t??null}function fC(e){return!c2||!e?null:Yf(e)?e:p6(e)?g6(e)||e===Qf(e).scrollingElement?window:Um(e)?e:null:null}function Yj(e){return Yf(e)?e.scrollX:e.scrollLeft}function Qj(e){return Yf(e)?e.scrollY:e.scrollTop}function K5(e){return{x:Yj(e),y:Qj(e)}}var fr;(function(e){e[e.Forward=1]="Forward",e[e.Backward=-1]="Backward"})(fr||(fr={}));function Zj(e){return!c2||!e?!1:e===document.scrollingElement}function Jj(e){const t={x:0,y:0},n=Zj(e)?{height:window.innerHeight,width:window.innerWidth}:{height:e.clientHeight,width:e.clientWidth},r={x:e.scrollWidth-n.width,y:e.scrollHeight-n.height},i=e.scrollTop<=t.y,o=e.scrollLeft<=t.x,s=e.scrollTop>=r.y,a=e.scrollLeft>=r.x;return{isTop:i,isLeft:o,isBottom:s,isRight:a,maxScroll:r,minScroll:t}}const L8e={x:.2,y:.2};function D8e(e,t,n,r,i){let{top:o,left:s,right:a,bottom:l}=n;r===void 0&&(r=10),i===void 0&&(i=L8e);const{isTop:u,isBottom:d,isLeft:f,isRight:p}=Jj(e),g={x:0,y:0},m={x:0,y:0},v={height:t.height*i.y,width:t.width*i.x};return!u&&o<=t.top+v.height?(g.y=fr.Backward,m.y=r*Math.abs((t.top+v.height-o)/v.height)):!d&&l>=t.bottom-v.height&&(g.y=fr.Forward,m.y=r*Math.abs((t.bottom-v.height-l)/v.height)),!p&&a>=t.right-v.width?(g.x=fr.Forward,m.x=r*Math.abs((t.right-v.width-a)/v.width)):!f&&s<=t.left+v.width&&(g.x=fr.Backward,m.x=r*Math.abs((t.left+v.width-s)/v.width)),{direction:g,speed:m}}function $8e(e){if(e===document.scrollingElement){const{innerWidth:o,innerHeight:s}=window;return{top:0,left:0,right:o,bottom:s,width:o,height:s}}const{top:t,left:n,right:r,bottom:i}=e.getBoundingClientRect();return{top:t,left:n,right:r,bottom:i,width:e.clientWidth,height:e.clientHeight}}function eG(e){return e.reduce((t,n)=>uf(t,K5(n)),ts)}function F8e(e){return e.reduce((t,n)=>t+Yj(n),0)}function B8e(e){return e.reduce((t,n)=>t+Qj(n),0)}function tG(e,t){if(t===void 0&&(t=Vm),!e)return;const{top:n,left:r,bottom:i,right:o}=t(e);Xj(e)&&(i<=0||o<=0||n>=window.innerHeight||r>=window.innerWidth)&&e.scrollIntoView({block:"center",inline:"center"})}const U8e=[["x",["left","right"],F8e],["y",["top","bottom"],B8e]];class v6{constructor(t,n){this.rect=void 0,this.width=void 0,this.height=void 0,this.top=void 0,this.bottom=void 0,this.right=void 0,this.left=void 0;const r=y6(n),i=eG(r);this.rect={...t},this.width=t.width,this.height=t.height;for(const[o,s,a]of U8e)for(const l of s)Object.defineProperty(this,l,{get:()=>{const u=a(r),d=i[o]-u;return this.rect[l]+d},enumerable:!0});Object.defineProperty(this,"rect",{enumerable:!1})}}class Np{constructor(t){this.target=void 0,this.listeners=[],this.removeAll=()=>{this.listeners.forEach(n=>{var r;return(r=this.target)==null?void 0:r.removeEventListener(...n)})},this.target=t}add(t,n,r){var i;(i=this.target)==null||i.addEventListener(t,n,r),this.listeners.push([t,n,r])}}function z8e(e){const{EventTarget:t}=fi(e);return e instanceof t?e:Qf(e)}function hC(e,t){const n=Math.abs(e.x),r=Math.abs(e.y);return typeof t=="number"?Math.sqrt(n**2+r**2)>t:"x"in t&&"y"in t?n>t.x&&r>t.y:"x"in t?n>t.x:"y"in t?r>t.y:!1}var po;(function(e){e.Click="click",e.DragStart="dragstart",e.Keydown="keydown",e.ContextMenu="contextmenu",e.Resize="resize",e.SelectionChange="selectionchange",e.VisibilityChange="visibilitychange"})(po||(po={}));function l7(e){e.preventDefault()}function V8e(e){e.stopPropagation()}var Qt;(function(e){e.Space="Space",e.Down="ArrowDown",e.Right="ArrowRight",e.Left="ArrowLeft",e.Up="ArrowUp",e.Esc="Escape",e.Enter="Enter"})(Qt||(Qt={}));const nG={start:[Qt.Space,Qt.Enter],cancel:[Qt.Esc],end:[Qt.Space,Qt.Enter]},j8e=(e,t)=>{let{currentCoordinates:n}=t;switch(e.code){case Qt.Right:return{...n,x:n.x+25};case Qt.Left:return{...n,x:n.x-25};case Qt.Down:return{...n,y:n.y+25};case Qt.Up:return{...n,y:n.y-25}}};class rG{constructor(t){this.props=void 0,this.autoScrollEnabled=!1,this.referenceCoordinates=void 0,this.listeners=void 0,this.windowListeners=void 0,this.props=t;const{event:{target:n}}=t;this.props=t,this.listeners=new Np(Qf(n)),this.windowListeners=new Np(fi(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(po.Resize,this.handleCancel),this.windowListeners.add(po.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(po.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&tG(r),n(ts)}handleKeyDown(t){if(m6(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=nG,coordinateGetter:s=j8e,scrollBehavior:a="smooth"}=i,{code:l}=t;if(o.end.includes(l)){this.handleEnd(t);return}if(o.cancel.includes(l)){this.handleCancel(t);return}const{collisionRect:u}=r.current,d=u?{x:u.left,y:u.top}:ts;this.referenceCoordinates||(this.referenceCoordinates=d);const f=s(t,{active:n,context:r.current,currentCoordinates:d});if(f){const p=b_(f,d),g={x:0,y:0},{scrollableAncestors:m}=r.current;for(const v of m){const x=t.code,{isTop:_,isRight:b,isLeft:y,isBottom:S,maxScroll:C,minScroll:T}=Jj(v),E=$8e(v),P={x:Math.min(x===Qt.Right?E.right-E.width/2:E.right,Math.max(x===Qt.Right?E.left:E.left+E.width/2,f.x)),y:Math.min(x===Qt.Down?E.bottom-E.height/2:E.bottom,Math.max(x===Qt.Down?E.top:E.top+E.height/2,f.y))},k=x===Qt.Right&&!b||x===Qt.Left&&!y,O=x===Qt.Down&&!S||x===Qt.Up&&!_;if(k&&P.x!==f.x){const M=v.scrollLeft+p.x,G=x===Qt.Right&&M<=C.x||x===Qt.Left&&M>=T.x;if(G&&!p.y){v.scrollTo({left:M,behavior:a});return}G?g.x=v.scrollLeft-M:g.x=x===Qt.Right?v.scrollLeft-C.x:v.scrollLeft-T.x,g.x&&v.scrollBy({left:-g.x,behavior:a});break}else if(O&&P.y!==f.y){const 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0&&(r=z8e(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=Qf(s),this.documentListeners=new Np(this.document),this.listeners=new Np(r),this.windowListeners=new Np(fi(s)),this.initialCoordinates=(i=qg(o))!=null?i:ts,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(po.Resize,this.handleCancel),this.windowListeners.add(po.DragStart,l7),this.windowListeners.add(po.VisibilityChange,this.handleCancel),this.windowListeners.add(po.ContextMenu,l7),this.documentListeners.add(po.Keydown,this.handleKeydown),n){if(u7(n))return;if(c7(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(po.Click,V8e,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(po.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=qg(t))!=null?n:ts,u=b_(i,l);if(!r&&a){if(c7(a))return hC(u,a.tolerance)?this.handleCancel():void 0;if(u7(a))return a.tolerance!=null&&hC(u,a.tolerance)?this.handleCancel():hC(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===Qt.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const G8e={move:{name:"pointermove"},end:{name:"pointerup"}};class iG extends _6{constructor(t){const{event:n}=t,r=Qf(n.target);super(t,G8e,r)}}iG.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const H8e={move:{name:"mousemove"},end:{name:"mouseup"}};var X5;(function(e){e[e.RightClick=2]="RightClick"})(X5||(X5={}));class oG extends _6{constructor(t){super(t,H8e,Qf(t.event.target))}}oG.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===X5.RightClick?!1:(r==null||r({event:n}),!0)}}];const pC={move:{name:"touchmove"},end:{name:"touchend"}};class sG extends _6{constructor(t){super(t,pC)}static setup(){return window.addEventListener(pC.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(pC.move.name,t)};function t(){}}}sG.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var Lp;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Lp||(Lp={}));var w_;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(w_||(w_={}));function W8e(e){let{acceleration:t,activator:n=Lp.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=w_.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:d,delta:f,threshold:p}=e;const g=K8e({delta:f,disabled:!o}),[m,v]=n8e(),x=L.useRef({x:0,y:0}),_=L.useRef({x:0,y:0}),b=L.useMemo(()=>{switch(n){case Lp.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case Lp.DraggableRect:return i}},[n,i,l]),y=L.useRef(null),S=L.useCallback(()=>{const T=y.current;if(!T)return;const E=x.current.x*_.current.x,P=x.current.y*_.current.y;T.scrollBy(E,P)},[]),C=L.useMemo(()=>a===w_.TreeOrder?[...u].reverse():u,[a,u]);L.useEffect(()=>{if(!o||!u.length||!b){v();return}for(const T of C){if((r==null?void 0:r(T))===!1)continue;const E=u.indexOf(T),P=d[E];if(!P)continue;const{direction:k,speed:O}=D8e(T,P,b,t,p);for(const M 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qn({active:A.current,activeNode:or,event:_r,options:Dn,context:ye,onStart(Sr){const Kn=A.current;if(Kn==null)return;const Mi=P.get(Kn);if(!Mi)return;const{onDragStart:is}=V.current,to={active:{id:Kn,data:Mi.data,rect:G}};bs.unstable_batchedUpdates(()=>{is==null||is(to),C(hl.Initializing),_({type:er.DragStart,initialCoordinates:Sr,active:Kn}),b({type:"onDragStart",event:to})})},onMove(Sr){_({type:er.DragMove,coordinates:Sr})},onEnd:eo(er.DragEnd),onCancel:eo(er.DragCancel)});bs.unstable_batchedUpdates(()=>{F(br),D(Xt.nativeEvent)});function eo(Sr){return async function(){const{active:Mi,collisions:is,over:to,scrollAdjustedTranslate:za}=ye.current;let Ao=null;if(Mi&&za){const{cancelDrop:wr}=V.current;Ao={activatorEvent:_r,active:Mi,collisions:is,delta:za,over:to},Sr===er.DragEnd&&typeof wr=="function"&&await Promise.resolve(wr(Ao))&&(Sr=er.DragCancel)}A.current=null,bs.unstable_batchedUpdates(()=>{_({type:Sr}),C(hl.Uninitialized),vr(null),F(null),D(null);const 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Vs=L.useMemo(()=>({active:U,activeNode:le,activeNodeRect:pe,activatorEvent:B,collisions:Wn,containerNodeRect:ve,dragOverlay:Me,draggableNodes:P,droppableContainers:O,droppableRects:ee,over:Gt,measureDroppableContainers:ie,scrollableAncestors:Bt,scrollableAncestorRects:it,measuringConfiguration:Z,measuringScheduled:se,windowRect:Hn}),[U,le,pe,B,Wn,ve,Me,P,O,ee,Gt,ie,Bt,it,Z,se,Hn]),Ji=L.useMemo(()=>({activatorEvent:B,activators:Yr,active:U,activeNodeRect:pe,ariaDescribedById:{draggable:j},dispatch:_,draggableNodes:P,over:Gt,measureDroppableContainers:ie}),[B,Yr,U,pe,_,j,P,Gt,ie]);return Lt.createElement(Wj.Provider,{value:y},Lt.createElement(jm.Provider,{value:Ji},Lt.createElement(cG.Provider,{value:Vs},Lt.createElement(p2.Provider,{value:Xr},u)),Lt.createElement(h9e,{disabled:(a==null?void 0:a.restoreFocus)===!1})),Lt.createElement(g8e,{...a,hiddenTextDescribedById:j}));function js(){const Xt=(N==null?void 0:N.autoScrollEnabled)===!1,Ot=typeof 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diff --git a/invokeai/frontend/web/dist/assets/menu-11348abc.js b/invokeai/frontend/web/dist/assets/menu-11348abc.js
new file mode 100644
index 0000000000..bfcf7978dc
--- /dev/null
+++ b/invokeai/frontend/web/dist/assets/menu-11348abc.js
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diff --git a/invokeai/frontend/web/dist/index.html b/invokeai/frontend/web/dist/index.html
index d4024bc0c8..d9c398de7c 100644
--- a/invokeai/frontend/web/dist/index.html
+++ b/invokeai/frontend/web/dist/index.html
@@ -12,7 +12,7 @@
         margin: 0;
       }
     </style>
-    <script type="module" crossorigin src="./assets/index-18f2f740.js"></script>
+    <script type="module" crossorigin src="./assets/index-de589048.js"></script>
   </head>
 
   <body dir="ltr">
diff --git a/invokeai/frontend/web/dist/locales/en.json b/invokeai/frontend/web/dist/locales/en.json
index cf84e4d773..63380a19fa 100644
--- a/invokeai/frontend/web/dist/locales/en.json
+++ b/invokeai/frontend/web/dist/locales/en.json
@@ -124,7 +124,8 @@
         "deleteImageBin": "Deleted images will be sent to your operating system's Bin.",
         "deleteImagePermanent": "Deleted images cannot be restored.",
         "images": "Images",
-        "assets": "Assets"
+        "assets": "Assets",
+        "autoAssignBoardOnClick": "Auto-Assign Board on Click"
     },
     "hotkeys": {
         "keyboardShortcuts": "Keyboard Shortcuts",

From dc96a3e79dacb04650d316f63df78b6a2e2432be Mon Sep 17 00:00:00 2001
From: Jonathan <34005131+JPPhoto@users.noreply.github.com>
Date: Fri, 4 Aug 2023 22:31:20 -0500
Subject: [PATCH 075/287] Fix random number generator

Passing in seed=0 is not equivalent to seed=None. The latter will get a new seed from entropy in the OS, and that's what we should be using.
---
 invokeai/app/util/misc.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/app/util/misc.py b/invokeai/app/util/misc.py
index 503f3af4c8..8702d86c67 100644
--- a/invokeai/app/util/misc.py
+++ b/invokeai/app/util/misc.py
@@ -18,5 +18,5 @@ SEED_MAX = np.iinfo(np.uint32).max
 
 
 def get_random_seed():
-    rng = np.random.default_rng(seed=0)
+    rng = np.random.default_rng(seed=None)
     return int(rng.integers(0, SEED_MAX))

From 83f75750a9979f2a25bf55a749b0a9ff49304ebf Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Sat, 5 Aug 2023 12:19:24 -0400
Subject: [PATCH 076/287] add techjedi's import script, with some
 filecompletion tweaks

---
 invokeai/frontend/install/import_images.py | 739 +++++++++++++++++++++
 pyproject.toml                             |   1 +
 2 files changed, 740 insertions(+)
 create mode 100644 invokeai/frontend/install/import_images.py

diff --git a/invokeai/frontend/install/import_images.py b/invokeai/frontend/install/import_images.py
new file mode 100644
index 0000000000..1870fafbf8
--- /dev/null
+++ b/invokeai/frontend/install/import_images.py
@@ -0,0 +1,739 @@
+# Copyright (c) 2023 - The InvokeAI Team
+# Author: techjedi
+
+# pylint: disable=line-too-long
+# pylint: disable=broad-exception-caught
+"""Script to import images into the new database system for 3.0.0"""
+
+import os
+import datetime
+import shutil
+import locale
+import sqlite3
+import json
+import glob
+import re
+import uuid
+import yaml
+import PIL
+import PIL.ImageOps
+import PIL.PngImagePlugin
+
+from pathlib import Path
+from prompt_toolkit import prompt
+from prompt_toolkit.shortcuts import yes_no_dialog, message_dialog, input_dialog, button_dialog
+from prompt_toolkit.completion import PathCompleter
+from prompt_toolkit.key_binding import KeyBindings
+
+from invokeai.app.services.config import InvokeAIAppConfig
+app_config = InvokeAIAppConfig.get_config()
+
+bindings = KeyBindings()
+@bindings.add('c-c')
+def _(event):
+    raise KeyboardInterrupt
+
+# release notes
+# "Use All" with size dimensions not selectable in the UI will not load dimensions
+
+class Config:
+    """Configuration loader."""
+    def __init__(self):
+        pass
+
+    TIMESTAMP_STRING= datetime.datetime.utcnow().strftime("%Y%m%dT%H%M%SZ")
+
+    INVOKE_DIRNAME = "invokeai"
+    YAML_FILENAME = "invokeai.yaml"
+    DATABASE_FILENAME = "invokeai.db"
+
+    database_path = None
+    database_backup_dir = None
+    outputs_path = None
+    thumbnail_path = None
+
+    def find_and_load(self):
+        """find the yaml config file and load"""
+        root = app_config.root_path
+        if not self.confirm_and_load(os.path.abspath(root)):
+            print ("\r\nSpecify custom database and outputs paths:")
+            self.confirm_and_load_from_user()
+
+        self.database_backup_dir = os.path.join(os.path.dirname(self.database_path),"backup")
+        self.thumbnail_path = os.path.join(self.outputs_path,"thumbnails")
+
+    def confirm_and_load(self, invoke_root):
+        """Validates a yaml path exists, confirms the user wants to use it and loads config."""
+        yaml_path = os.path.join(invoke_root,self.YAML_FILENAME)
+        if os.path.exists(yaml_path):
+            db_dir, outdir = self.load_paths_from_yaml(yaml_path)
+            if os.path.isabs(db_dir):
+                database_path = os.path.join(db_dir,self.DATABASE_FILENAME)
+            else:
+                database_path = os.path.join(invoke_root,db_dir,self.DATABASE_FILENAME)
+
+            if os.path.isabs(outdir):
+                outputs_path = os.path.join(outdir, "images")
+            else:
+                outputs_path = os.path.join(invoke_root, outdir, "images")
+
+            db_exists = os.path.exists(database_path)
+            outdir_exists = os.path.exists(outputs_path)
+
+            text = f"Found {self.YAML_FILENAME} file at {yaml_path}:"
+            text += f"\n  Database : {database_path}"
+            text += f"\n  Outputs  : {outputs_path}"
+            text += "\n\nUse these paths for import (yes) or choose different ones (no) [Yn]: "
+
+            if db_exists and outdir_exists:
+                if (prompt(text).strip() or 'Y').upper().startswith('Y'):
+                    self.database_path = database_path
+                    self.outputs_path = outputs_path
+                    return True
+                else:
+                    return False
+            else:
+                print("  Invalid: One or more paths in this config did not exist and cannot be used.")
+
+        else:
+            message_dialog(
+                title="Path not found",
+                text=f"Auto-discovery of configuration failed! Could not find ({yaml_path}), Custom paths can be specified."
+            ).run()
+            return False
+
+    def confirm_and_load_from_user(self):
+        default = ''
+        while True:
+            database_path = os.path.expanduser(
+                prompt(
+                    "Database: Specify absolute path to the database to import into: ",
+                    completer=PathCompleter(expanduser=True, file_filter=lambda x: Path(x).is_dir() or x.endswith(('.db'))),
+                    default = default,
+                ))
+            if database_path.endswith(".db") and os.path.isabs(database_path) and os.path.exists(database_path):
+                break
+            default = database_path + '/' if Path(database_path).is_dir() else database_path
+
+        default = ''
+        while True:
+            outputs_path = os.path.expanduser(
+                prompt(
+                    "Outputs: Specify absolute path to outputs/images directory to import into: ",
+                    completer = PathCompleter(expanduser=True, only_directories=True),
+                    default = default,
+                ))
+
+            if outputs_path.endswith("images") and os.path.isabs(outputs_path) and os.path.exists(outputs_path):
+                break
+            default = outputs_path + '/' if Path(outputs_path).is_dir() else outputs_path
+            
+        self.database_path = database_path
+        self.outputs_path = outputs_path
+
+        return
+
+    def load_paths_from_yaml(self, yaml_path):
+        """Load an Invoke AI yaml file and get the database and outputs paths."""
+        try:
+            with open(yaml_path, 'rt', encoding=locale.getpreferredencoding()) as file:
+                yamlinfo = yaml.safe_load(file)
+                db_dir = yamlinfo.get("InvokeAI",{}).get("Paths",{}).get("db_dir", None)
+                outdir = yamlinfo.get("InvokeAI",{}).get("Paths",{}).get("outdir", None)
+                return db_dir, outdir
+        except Exception:
+            print(f"Failed to load paths from yaml file! {yaml_path}!")
+            return None, None
+
+class ImportStats:
+    """DTO for tracking work progress."""
+    def __init__(self):
+        pass
+
+    time_start = datetime.datetime.utcnow()
+    count_source_files = 0
+    count_skipped_file_exists = 0
+    count_skipped_db_exists = 0
+    count_imported = 0
+    count_imported_by_version = {}
+    count_file_errors = 0
+
+    @staticmethod
+    def get_elapsed_time_string():
+        """Get a friendly time string for the  time elapsed since processing start."""
+        time_now = datetime.datetime.utcnow()
+        total_seconds = (time_now - ImportStats.time_start).total_seconds()
+        hours = int((total_seconds) / 3600)
+        minutes = int(((total_seconds) % 3600) / 60)
+        seconds = total_seconds % 60
+        out_str = f"{hours} hour(s) -" if hours > 0 else ""
+        out_str += f"{minutes} minute(s) -" if minutes > 0 else ""
+        out_str += f"{seconds:.2f} second(s)"
+        return out_str
+
+class InvokeAIMetadata:
+    """DTO for core Invoke AI generation properties parsed from metadata."""
+    def __init__(self):
+        pass
+
+    def __str__(self):
+        formatted_str = f"{self.generation_mode}~{self.steps}~{self.cfg_scale}~{self.model_name}~{self.scheduler}~{self.seed}~{self.width}~{self.height}~{self.rand_device}~{self.strength}~{self.init_image}"
+        formatted_str += f"\r\npositive_prompt: {self.positive_prompt}"
+        formatted_str += f"\r\nnegative_prompt: {self.negative_prompt}"
+        return formatted_str
+
+    generation_mode = None
+    steps = None
+    cfg_scale = None
+    model_name = None
+    scheduler = None
+    seed = None
+    width = None
+    height = None
+    rand_device = None
+    strength = None
+    init_image = None
+    positive_prompt = None
+    negative_prompt = None
+    imported_app_version = None
+
+    def to_json(self):
+        """Convert the active instance to json format."""
+        prop_dict = {}
+        prop_dict["generation_mode"] = self.generation_mode
+        prop_dict["positive_prompt"] = self.positive_prompt
+        prop_dict["negative_prompt"] = self.negative_prompt
+        prop_dict["width"] = self.width
+        prop_dict["height"] = self.height
+        prop_dict["seed"] = self.seed
+        prop_dict["rand_device"] = self.rand_device
+        prop_dict["cfg_scale"] = self.cfg_scale
+        prop_dict["steps"] = self.steps
+        prop_dict["scheduler"] = self.scheduler
+        prop_dict["clip_skip"] = 0
+        prop_dict["model"] = {}
+        prop_dict["model"]["model_name"] = self.model_name
+        prop_dict["model"]["base_model"] = None
+        prop_dict["controlnets"] = []
+        prop_dict["loras"] = []
+        prop_dict["vae"] = None
+        prop_dict["strength"] = self.strength
+        prop_dict["init_image"] = self.init_image
+        prop_dict["positive_style_prompt"] = None
+        prop_dict["negative_style_prompt"] = None
+        prop_dict["refiner_model"] = None
+        prop_dict["refiner_cfg_scale"] = None
+        prop_dict["refiner_steps"] = None
+        prop_dict["refiner_scheduler"] = None
+        prop_dict["refiner_aesthetic_store"] = None
+        prop_dict["refiner_start"] = None
+        prop_dict["imported_app_version"] = self.imported_app_version
+
+        return json.dumps(prop_dict)
+
+
+class InvokeAIMetadataParser:
+    """Parses strings with json data  to find Invoke AI core metadata properties."""
+    def __init__(self):
+        pass
+
+    def parse_meta_tag_dream(self, dream_string):
+        """Take as input an png metadata json node for the 'dream' field variant from prior to 1.15"""
+        props = InvokeAIMetadata()
+
+        props.imported_app_version = "pre1.15"
+        seed_match = re.search("-S\\s*(\\d+)", dream_string)
+        if seed_match is not None:
+            try:
+                props.seed = int(seed_match[1])
+            except ValueError:
+                props.seed = None
+            raw_prompt = re.sub("(-S\\s*\\d+)", "", dream_string)
+        else:
+            raw_prompt = dream_string
+
+        pos_prompt, neg_prompt = self.split_prompt(raw_prompt)
+
+        props.positive_prompt = pos_prompt
+        props.negative_prompt = neg_prompt
+
+        return props
+
+    def parse_meta_tag_sd_metadata(self, tag_value):
+        """Take as input an png metadata json node for the 'sd-metadata' field variant from 1.15 through 2.3.5 post 2"""
+        props = InvokeAIMetadata()
+
+        props.imported_app_version = tag_value.get("app_version")
+        props.model_name = tag_value.get("model_weights")
+        img_node = tag_value.get("image")
+        if img_node is not None:
+            props.generation_mode = img_node.get("type")
+            props.width = img_node.get("width")
+            props.height = img_node.get("height")
+            props.seed = img_node.get("seed")
+            props.rand_device = "cuda" #hardcoded since all generations pre 3.0 used cuda random noise instead of cpu
+            props.cfg_scale = img_node.get("cfg_scale")
+            props.steps = img_node.get("steps")
+            props.scheduler = self.map_scheduler(img_node.get("sampler"))
+            props.strength = img_node.get("strength")
+            if props.strength is None:
+                props.strength = img_node.get("strength_steps") # try second name for this property
+            props.init_image = img_node.get("init_image_path")
+            if props.init_image is None: # try second name for this property
+                props.init_image = img_node.get("init_img")
+            # remove the path info from init_image so if we move the init image, it will be correctly relative in the new location
+            if props.init_image is not None:
+                props.init_image = os.path.basename(props.init_image)
+            raw_prompt = img_node.get("prompt")
+            if isinstance(raw_prompt, list):
+                raw_prompt = raw_prompt[0].get("prompt")
+
+            props.positive_prompt, props.negative_prompt = self.split_prompt(raw_prompt)
+
+        return props
+
+    def parse_meta_tag_invokeai(self, tag_value):
+        """Take as input an png metadata json node for the 'invokeai' field variant from 3.0.0 beta 1 through 5"""
+        props = InvokeAIMetadata()
+
+        props.imported_app_version = "3.0.0 or later"
+        props.generation_mode = tag_value.get("type")
+        if props.generation_mode is not None:
+            props.generation_mode = props.generation_mode.replace("t2l","txt2img").replace("l2l","img2img")
+
+        props.width = tag_value.get("width")
+        props.height = tag_value.get("height")
+        props.seed = tag_value.get("seed")
+        props.cfg_scale = tag_value.get("cfg_scale")
+        props.steps = tag_value.get("steps")
+        props.scheduler = tag_value.get("scheduler")
+        props.strength = tag_value.get("strength")
+        props.positive_prompt = tag_value.get("positive_conditioning")
+        props.negative_prompt = tag_value.get("negative_conditioning")
+
+        return props
+
+    def map_scheduler(self, old_scheduler):
+        """Convert the legacy sampler names to matching 3.0 schedulers"""
+        if old_scheduler is None:
+            return None
+
+        match(old_scheduler):
+            case "ddim" : return "ddim"
+            case "plms" : return "pnmd"
+            case "k_lms" : return "lms"
+            case "k_dpm_2" : return "kdpm_2"
+            case "k_dpm_2_a" : return "kdpm_2_a"
+            case "dpmpp_2" : return "dpmpp_2s"
+            case "k_dpmpp_2" : return "dpmpp_2m"
+            case "k_dpmpp_2_a" : return None #invalid, in 2.3.x, selecting this sample would just fallback to last run or plms if new session
+            case "k_euler" : return "euler"
+            case "k_euler_a" : return "euler_a"
+            case "k_heun" : return "heun"
+        return None
+
+    def split_prompt(self, raw_prompt: str):
+        """Split the unified prompt strings by extracting all negative prompt blocks out into the negative prompt."""
+        if raw_prompt is None:
+            return "", ""
+        raw_prompt_search = raw_prompt.replace("\r","").replace("\n","")
+        matches = re.findall(r"\[(.+?)\]", raw_prompt_search)
+        if len(matches) > 0:
+            negative_prompt = ""
+            if len(matches) == 1:
+                negative_prompt = matches[0].strip().strip(',')
+            else:
+                for match in matches:
+                    negative_prompt += f"({match.strip().strip(',')})"
+            positive_prompt = re.sub(r"(\[.+?\])", "", raw_prompt_search).strip()
+        else:
+            positive_prompt = raw_prompt_search.strip()
+            negative_prompt = ""
+
+        return positive_prompt,negative_prompt
+
+class DatabaseMapper:
+    """Class to abstract database functionality."""
+    def __init__(self, database_path, database_backup_dir):
+        self.database_path = database_path
+        self.database_backup_dir = database_backup_dir
+        self.connection = None
+        self.cursor = None
+
+    def connect(self):
+        """Open connection to the database."""
+        self.connection = sqlite3.connect(self.database_path)
+        self.cursor = self.connection.cursor()
+
+    def get_board_names(self):
+        """Get a list of the current board names from the database."""
+        sql_get_board_name = "SELECT board_name FROM boards"
+        self.cursor.execute(sql_get_board_name)
+        rows = self.cursor.fetchall()
+        return [row[0] for row in rows]
+
+    def does_image_exist(self, image_name):
+        """Check database if a image name already exists and return a boolean."""
+        sql_get_image_by_name = f"SELECT image_name FROM images WHERE image_name='{image_name}'"
+        self.cursor.execute(sql_get_image_by_name)
+        rows = self.cursor.fetchall()
+        return True if len(rows) > 0 else False
+
+    def add_new_image_to_database(self, filename, width, height, metadata, modified_date_string):
+        """Add an image to the database."""        
+        sql_add_image = f"""INSERT INTO images (image_name, image_origin, image_category, width, height, session_id, node_id, metadata, is_intermediate, created_at, updated_at)
+VALUES ('{filename}', 'internal', 'general', {width}, {height}, null, null, '{metadata}', 0, '{modified_date_string}', '{modified_date_string}')"""
+        self.cursor.execute(sql_add_image)
+        self.connection.commit()
+
+    def get_board_id_with_create(self, board_name):
+        """Get the board id for supplied name, and create the board if one does not exist."""
+        sql_find_board = f"SELECT board_id FROM boards WHERE board_name='{board_name}' COLLATE NOCASE"
+        self.cursor.execute(sql_find_board)
+        rows = self.cursor.fetchall()
+        if len(rows)>0:
+            return rows[0][0]
+        else:
+            board_date_string = datetime.datetime.utcnow().date().isoformat()
+            new_board_id = str(uuid.uuid4())
+            sql_insert_board = f"INSERT INTO boards (board_id, board_name, created_at, updated_at) VALUES ('{new_board_id}', '{board_name}', '{board_date_string}', '{board_date_string}')"
+            self.cursor.execute(sql_insert_board)
+            self.connection.commit()
+            return new_board_id
+
+    def add_image_to_board(self, filename, board_id):
+        """Add an image mapping to a board."""
+        add_datetime_str = datetime.datetime.utcnow().isoformat()
+        sql_add_image_to_board = f"""INSERT INTO board_images (board_id, image_name, created_at, updated_at)
+            VALUES ('{board_id}', '{filename}', '{add_datetime_str}', '{add_datetime_str}')"""
+        self.cursor.execute(sql_add_image_to_board)
+        self.connection.commit()
+
+    def disconnect(self):
+        """Disconnect from the db, cleaning up connections and cursors."""
+        if self.cursor is not None:
+            self.cursor.close()
+        if self.connection is not None:
+            self.connection.close()
+
+    def backup(self, timestamp_string):
+        """Take a backup of the database."""        
+        if not os.path.exists(self.database_backup_dir):
+            print (f"Database backup directory {self.database_backup_dir} does not exist -> creating...", end="")
+            os.makedirs(self.database_backup_dir)
+            print ("Done!")
+        database_backup_path = os.path.join(self.database_backup_dir, f"backup-{timestamp_string}-invokeai.db")
+        print (f"Making DB Backup at {database_backup_path}...", end="")
+        shutil.copy2(self.database_path, database_backup_path)
+        print ("Done!")
+
+class MediaImportProcessor:
+    """Containing class for script functionality."""
+    def __init__(self):
+        pass
+
+    board_name_id_map = {}
+
+    def get_import_file_list(self):
+        """Ask the user for the import folder and scan for the list of files to return."""
+        while True:
+            default = ''
+            while True:
+                import_dir = os.path.expanduser(
+                    prompt(
+                        "Inputs: Specify absolute path containing InvokeAI .png images to import: ",
+                        completer = PathCompleter(expanduser=True, only_directories=True),
+                        default = default,
+                    ))
+                if len(import_dir)>0 and Path(import_dir).is_dir():
+                    break
+                default = import_dir
+
+            recurse_directories = (prompt("Include files from subfolders recursively [yN]? ").strip() or 'N').upper().startswith('N')
+            if recurse_directories:
+                is_recurse = False
+                matching_file_list = glob.glob(import_dir + '/*.png', recursive=False)
+            else:
+                is_recurse = True
+                matching_file_list = glob.glob(import_dir + '/**/*.png', recursive=True)
+
+            if len(matching_file_list) > 0:
+                return import_dir, is_recurse, matching_file_list
+            else:
+                print(f"The specific path {import_dir} exists, but does not contain .png files!")
+
+    def get_file_details(self, filepath):
+        """Retrieve the embedded metedata fields and dimensions from an image file."""
+        with PIL.Image.open(filepath) as img:
+            img.load()
+            png_width, png_height = img.size
+            img_info = img.info
+        return img_info, png_width, png_height
+
+    def select_board_option(self, board_names, timestamp_string):
+        """Allow the user to choose how a board is selected for imported files."""
+        while True:
+            print("\r\nOptions for board selection for imported images:")
+            print(f"1) Select an existing board name. (found {len(board_names)})")
+            print( "2) Specify a board name to create/add to.")
+            print( "3) Create/add to board named 'IMPORT'.")
+            print(f"4) Create/add to board named 'IMPORT' with the current datetime string appended (.e.g IMPORT_{timestamp_string}).")
+            print( "5) Create/add to board named 'IMPORT' with a the original file app_version appended (.e.g IMPORT_2.2.5).")
+            input_option = input("Specify desired board option: ")
+            match(input_option):
+                case "1" :
+                    if len(board_names) < 1:
+                        print("\r\nThere are no existing board names to choose from. Select another option!")
+                        continue
+                    board_name = self.select_item_from_list(board_names, "board name", True, "Cancel, go back and choose a different board option.")
+                    if board_name is not None:
+                        return board_name
+                case "2":
+                    while True:
+                        board_name = input("Specify new/existing board name: ")
+                        if board_name:
+                            return board_name
+                case "3" :
+                    return "IMPORT"
+                case "4":
+                    return f"IMPORT_{timestamp_string}"
+                case "5":
+                    return "IMPORT_APPVERSION"
+
+    def select_item_from_list(self, items, entity_name, allow_cancel, cancel_string):
+        """A general function to render a list of items to select in the console, prompt the user for a selection and ensure a valid entry is selected."""
+        print (f"Select a {entity_name.lower()} from the following list:")
+        index = 1
+        for item in items:
+            print(f"{index}) {item}")
+            index += 1
+        if allow_cancel:
+            print(f"{index}) {cancel_string}")
+        while True:
+            try:
+                option_number = int(input("Specify number of selection: "))
+            except ValueError:
+                continue
+            if allow_cancel and option_number == index:
+                return None
+            if option_number >=1 and option_number <= len(items):
+                return items[option_number-1]
+
+    def import_image(self, filepath: str, board_name_option: str, db_mapper: DatabaseMapper, config: Config):
+        """Import a single file by its path"""
+        parser = InvokeAIMetadataParser()
+        file_name = os.path.basename(filepath)
+        file_destination_path = os.path.join(config.outputs_path, file_name)
+
+        print("===============================================================================")
+        print(f"Importing {filepath}")
+
+        # check destination to see if the file was previously imported
+        if os.path.exists(file_destination_path):
+            print("File already exists in the destination, skipping!")
+            ImportStats.count_skipped_file_exists += 1
+            return
+
+        # check if file name is already referenced in the database
+        if db_mapper.does_image_exist(file_name):
+            print("A reference to a file with this name already exists in the database, skipping!")
+            ImportStats.count_skipped_db_exists += 1
+            return
+
+        # load image info and dimensions
+        img_info, png_width, png_height = self.get_file_details(filepath)
+
+        # parse metadata
+        destination_needs_meta_update = True
+        log_version_note = "(Unknown)"
+        if "invokeai_metadata" in img_info:
+            # for the latest, we will just re-emit the same json, no need to parse/modify
+            converted_field = None
+            latest_json_string = img_info.get("invokeai_metadata")
+            log_version_note = "3.0.0+"
+            destination_needs_meta_update = False
+        else:
+            if "sd-metadata" in img_info:
+                converted_field = parser.parse_meta_tag_sd_metadata(json.loads(img_info.get("sd-metadata")))
+            elif "invokeai" in img_info:
+                converted_field = parser.parse_meta_tag_invokeai(json.loads(img_info.get("invokeai")))
+            elif "dream" in img_info:
+                converted_field = parser.parse_meta_tag_dream(img_info.get("dream"))
+            elif "Dream" in img_info:
+                converted_field = parser.parse_meta_tag_dream(img_info.get("Dream"))
+            else:
+                converted_field = InvokeAIMetadata()
+                destination_needs_meta_update = False
+                print("File does not have metadata from known Invoke AI versions, add only, no update!")
+
+            # use the loaded img dimensions if the metadata didnt have them
+            if converted_field.width is None:
+                converted_field.width = png_width
+            if converted_field.height is None:
+                converted_field.height = png_height
+
+            log_version_note = converted_field.imported_app_version if converted_field else "NoVersion"
+            log_version_note = log_version_note or "NoVersion"
+
+            latest_json_string = converted_field.to_json()
+
+        print (f"From Invoke AI Version {log_version_note} with dimensions {png_width} x {png_height}.")
+
+        # if metadata needs update, then update metdata and copy in one shot
+        if destination_needs_meta_update:
+            print("Updating metadata while copying...", end="")
+            self.update_file_metadata_while_copying(filepath, file_destination_path, "invokeai_metadata", latest_json_string)
+            print("Done!")
+        else:
+            print("No metadata update necessary, copying only...", end="")
+            shutil.copy2(filepath, file_destination_path)
+            print("Done!")
+
+        # create thumbnail
+        print("Creating thumbnail...", end="")
+        thumbnail_path = os.path.join(config.thumbnail_path, os.path.splitext(file_name)[0]) +  ".webp"
+        thumbnail_size = 256, 256
+        with PIL.Image.open(filepath) as source_image:
+            source_image.thumbnail(thumbnail_size)
+            source_image.save(thumbnail_path, "webp")
+        print("Done!")
+
+        # finalize the dynamic board name if there is an APPVERSION token in it.
+        if converted_field is not None:
+            board_name = board_name_option.replace("APPVERSION", converted_field.imported_app_version or "NoVersion")
+        else:
+            board_name = board_name_option.replace("APPVERSION", "Latest")
+
+        # maintain a map of alrady created/looked up ids to avoid DB queries
+        print("Finding/Creating board...", end="")
+        if board_name in self.board_name_id_map:
+            board_id = self.board_name_id_map[board_name]
+        else:
+            board_id = db_mapper.get_board_id_with_create(board_name)
+            self.board_name_id_map[board_name] = board_id
+        print("Done!")
+
+        # add image to db
+        print("Adding image to database......", end="")
+        modified_time = datetime.datetime.utcfromtimestamp(os.path.getmtime(filepath))
+        db_mapper.add_new_image_to_database(file_name, png_width, png_height, latest_json_string, modified_time)
+        print("Done!")
+
+        #add image to board
+        print("Adding image to board......", end="")
+        db_mapper.add_image_to_board(file_name, board_id)
+        print("Done!")
+
+        ImportStats.count_imported += 1
+        if log_version_note in ImportStats.count_imported_by_version:
+            ImportStats.count_imported_by_version[log_version_note] += 1
+        else:
+            ImportStats.count_imported_by_version[log_version_note] = 1
+
+    def update_file_metadata_while_copying(self, filepath, file_destination_path, tag_name, tag_value):
+        """Perform a metadata update with save to a new destination which accomplishes a copy while updating metadata."""
+        with PIL.Image.open(filepath) as target_image:
+            existing_img_info = target_image.info
+            metadata = PIL.PngImagePlugin.PngInfo()
+            # re-add any existing invoke ai tags unless they are the one we are trying to add
+            for key in existing_img_info:
+                if key != tag_name and key in ("dream", "Dream", "sd-metadata", "invokeai", "invokeai_metadata"):
+                    metadata.add_text(key,existing_img_info[key])
+            metadata.add_text(tag_name, tag_value)
+            target_image.save(file_destination_path, pnginfo=metadata)
+
+    def process(self):
+        """Begin main processing."""
+
+        print("===============================================================================")
+        print("This script will import images generated by earlier versions of")
+        print("InvokeAI into the currently installed root directory:")
+        print(f'   {app_config.root_path}')
+        print("If this is not what you want to do, type ctrl-C now to cancel.")
+
+        # load config
+        print("===============================================================================")
+        print("= Configuration & Settings")
+
+        config = Config()
+        config.find_and_load()
+        db_mapper = DatabaseMapper(config.database_path, config.database_backup_dir)
+        db_mapper.connect()
+
+        import_dir, is_recurse, import_file_list = self.get_import_file_list()
+        ImportStats.count_source_files = len(import_file_list)
+
+        board_names = db_mapper.get_board_names()
+        board_name_option = self.select_board_option(board_names, config.TIMESTAMP_STRING)
+
+        print("\r\n===============================================================================")
+        print("= Import Settings Confirmation")
+
+        print()
+        print(f"Database File Path               : {config.database_path}")
+        print(f"Outputs/Images Directory         : {config.outputs_path}")
+        print(f"Import Image Source Directory    : {import_dir}")
+        print(f"  Recurse Source SubDirectories  : {'Yes' if is_recurse else 'No'}")
+        print(f"Count of .png file(s) found      : {len(import_file_list)}")
+        print(f"Board name option specified      : {board_name_option}")
+        print(f"Database backup will be taken at : {config.database_backup_dir}")
+
+        print("\r\nNotes about the import process:")
+        print("- Source image files will not be modified, only copied to the outputs directory.")
+        print("- If the same file name already exists in the destination, the file will be skipped.")
+        print("- If the same file name already has a record in the database, the file will be skipped.")
+        print("- Invoke AI metadata tags will be updated/written into the imported copy only.")
+        print("- On the imported copy, only Invoke AI known tags (latest and legacy) will be retained (dream, sd-metadata, invokeai, invokeai_metadata)")
+        print("- A property 'imported_app_version' will be added to metadata that can be viewed in the UI's metadata viewer.")
+        print("- The new 3.x InvokeAI outputs folder structure is flat so recursively found source imges will all be placed into the single outputs/images folder.")
+
+        while True:
+            should_continue = prompt("\nDo you wish to continue with the import [Yn] ? ").lower() or 'y'
+            if should_continue=='n':
+                print("\r\nCancelling Import")
+                return
+            elif should_continue=='y':
+                print()
+                break
+
+        db_mapper.backup(config.TIMESTAMP_STRING)
+
+        print()
+        ImportStats.time_start = datetime.datetime.utcnow()
+
+        for filepath in import_file_list:
+            try:
+                self.import_image(filepath, board_name_option, db_mapper, config)
+            except sqlite3.Error as sql_ex:
+                print(f"A database related exception was found processing {filepath}, will continue to next file. ")
+                print("Exception detail:")
+                print(sql_ex)
+                ImportStats.count_file_errors += 1
+            except Exception as ex:
+                print(f"Exception processing {filepath}, will continue to next file. ")
+                print("Exception detail:")
+                print(ex)
+                ImportStats.count_file_errors += 1
+
+        print("\r\n===============================================================================")
+        print(f"= Import Complete - Elpased Time: {ImportStats.get_elapsed_time_string()}")
+        print()
+        print(f"Source File(s)                          : {ImportStats.count_source_files}")
+        print(f"Total Imported                          : {ImportStats.count_imported}")
+        print(f"Skipped b/c file already exists on disk : {ImportStats.count_skipped_file_exists}")
+        print(f"Skipped b/c file already exists in db   : {ImportStats.count_skipped_db_exists}")
+        print(f"Errors during import                    : {ImportStats.count_file_errors}")
+        if ImportStats.count_imported > 0:
+            print("\r\nBreakdown of imported files by version:")
+            for key,version in ImportStats.count_imported_by_version.items():
+                print(f"  {key:20} : {version}")
+
+def main():
+    try:
+        processor = MediaImportProcessor()
+        processor.process()
+    except KeyboardInterrupt:
+        print("\r\n\r\nUser cancelled execution.")
+
+if __name__ == "__main__":
+    main()
diff --git a/pyproject.toml b/pyproject.toml
index b3f12481a8..d5aa3f37aa 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -139,6 +139,7 @@ dependencies = [
 "invokeai-metadata" = "invokeai.frontend.CLI.sd_metadata:print_metadata"
 "invokeai-node-cli" = "invokeai.app.cli_app:invoke_cli"
 "invokeai-node-web" = "invokeai.app.api_app:invoke_api"
+"invokeai-import-images" = "invokeai.frontend.install.import_images:main"
 
 [project.urls]
 "Homepage" = "https://invoke-ai.github.io/InvokeAI/"

From c8ceb9609147390e5e5407ad7ebf0d5148a639ce Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Sat, 5 Aug 2023 12:26:52 -0400
Subject: [PATCH 077/287] add docs

---
 README.md                                  | 23 +++++++++++++++++++---
 docs/installation/010_INSTALL_AUTOMATED.md |  2 +-
 2 files changed, 21 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 2efaacd031..7b3f95ab10 100644
--- a/README.md
+++ b/README.md
@@ -306,13 +306,30 @@ InvokeAI. The second will prepare the 2.3 directory for use with 3.0.
 You may now launch the WebUI in the usual way, by selecting option [1]
 from the launcher script
 
-#### Migration Caveats
+#### Migrating Images
 
 The migration script will migrate your invokeai settings and models,
 including textual inversion models, LoRAs and merges that you may have
 installed previously. However it does **not** migrate the generated
-images stored in your 2.3-format outputs directory. You will need to
-manually import selected images into the 3.0 gallery via drag-and-drop.
+images stored in your 2.3-format outputs directory. To do this, you 
+need to run an additional step:
+
+1. From a working InvokeAI 3.0 root directory, start the launcher and
+enter menu option [8] to open the "developer's console".
+
+2. At the developer's console command line, type the command:
+
+```bash
+invokeai-import-images
+```
+
+3. This will lead you through the process of confirming the desired
+   source and destination for the imported images. The images will
+   appear in the gallery board of your choice, and contain the
+   original prompt, model name, and other parameters used to generate
+   the image.
+   
+(Many kudos to **techjedi** for contributing this script.)
 
 ## Hardware Requirements
 
diff --git a/docs/installation/010_INSTALL_AUTOMATED.md b/docs/installation/010_INSTALL_AUTOMATED.md
index 9b66fcbd83..07a88d5d1b 100644
--- a/docs/installation/010_INSTALL_AUTOMATED.md
+++ b/docs/installation/010_INSTALL_AUTOMATED.md
@@ -264,7 +264,7 @@ experimental versions later.
 	  you can create several levels of subfolders and drop your models into
       whichever ones you want.
 	
-    - ***Autoimport FolderLICENSE***     
+    - ***LICENSE***     
 
     At the bottom of the screen you will see a checkbox for accepting
     the CreativeML Responsible AI Licenses. You need to accept the license

From 4043a4c21cde6156b9c6710e81da79b741bd8b19 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Sat, 5 Aug 2023 12:44:58 -0400
Subject: [PATCH 078/287] blackified

---
 invokeai/frontend/install/import_images.py | 213 +++++++++++++--------
 1 file changed, 131 insertions(+), 82 deletions(-)

diff --git a/invokeai/frontend/install/import_images.py b/invokeai/frontend/install/import_images.py
index 1870fafbf8..fe0f20c830 100644
--- a/invokeai/frontend/install/import_images.py
+++ b/invokeai/frontend/install/import_images.py
@@ -26,22 +26,28 @@ from prompt_toolkit.completion import PathCompleter
 from prompt_toolkit.key_binding import KeyBindings
 
 from invokeai.app.services.config import InvokeAIAppConfig
+
 app_config = InvokeAIAppConfig.get_config()
 
 bindings = KeyBindings()
-@bindings.add('c-c')
+
+
+@bindings.add("c-c")
 def _(event):
     raise KeyboardInterrupt
 
+
 # release notes
 # "Use All" with size dimensions not selectable in the UI will not load dimensions
 
+
 class Config:
     """Configuration loader."""
+
     def __init__(self):
         pass
 
-    TIMESTAMP_STRING= datetime.datetime.utcnow().strftime("%Y%m%dT%H%M%SZ")
+    TIMESTAMP_STRING = datetime.datetime.utcnow().strftime("%Y%m%dT%H%M%SZ")
 
     INVOKE_DIRNAME = "invokeai"
     YAML_FILENAME = "invokeai.yaml"
@@ -56,21 +62,21 @@ class Config:
         """find the yaml config file and load"""
         root = app_config.root_path
         if not self.confirm_and_load(os.path.abspath(root)):
-            print ("\r\nSpecify custom database and outputs paths:")
+            print("\r\nSpecify custom database and outputs paths:")
             self.confirm_and_load_from_user()
 
-        self.database_backup_dir = os.path.join(os.path.dirname(self.database_path),"backup")
-        self.thumbnail_path = os.path.join(self.outputs_path,"thumbnails")
+        self.database_backup_dir = os.path.join(os.path.dirname(self.database_path), "backup")
+        self.thumbnail_path = os.path.join(self.outputs_path, "thumbnails")
 
     def confirm_and_load(self, invoke_root):
         """Validates a yaml path exists, confirms the user wants to use it and loads config."""
-        yaml_path = os.path.join(invoke_root,self.YAML_FILENAME)
+        yaml_path = os.path.join(invoke_root, self.YAML_FILENAME)
         if os.path.exists(yaml_path):
             db_dir, outdir = self.load_paths_from_yaml(yaml_path)
             if os.path.isabs(db_dir):
-                database_path = os.path.join(db_dir,self.DATABASE_FILENAME)
+                database_path = os.path.join(db_dir, self.DATABASE_FILENAME)
             else:
-                database_path = os.path.join(invoke_root,db_dir,self.DATABASE_FILENAME)
+                database_path = os.path.join(invoke_root, db_dir, self.DATABASE_FILENAME)
 
             if os.path.isabs(outdir):
                 outputs_path = os.path.join(outdir, "images")
@@ -86,7 +92,7 @@ class Config:
             text += "\n\nUse these paths for import (yes) or choose different ones (no) [Yn]: "
 
             if db_exists and outdir_exists:
-                if (prompt(text).strip() or 'Y').upper().startswith('Y'):
+                if (prompt(text).strip() or "Y").upper().startswith("Y"):
                     self.database_path = database_path
                     self.outputs_path = outputs_path
                     return True
@@ -98,36 +104,40 @@ class Config:
         else:
             message_dialog(
                 title="Path not found",
-                text=f"Auto-discovery of configuration failed! Could not find ({yaml_path}), Custom paths can be specified."
+                text=f"Auto-discovery of configuration failed! Could not find ({yaml_path}), Custom paths can be specified.",
             ).run()
             return False
 
     def confirm_and_load_from_user(self):
-        default = ''
+        default = ""
         while True:
             database_path = os.path.expanduser(
                 prompt(
                     "Database: Specify absolute path to the database to import into: ",
-                    completer=PathCompleter(expanduser=True, file_filter=lambda x: Path(x).is_dir() or x.endswith(('.db'))),
-                    default = default,
-                ))
+                    completer=PathCompleter(
+                        expanduser=True, file_filter=lambda x: Path(x).is_dir() or x.endswith((".db"))
+                    ),
+                    default=default,
+                )
+            )
             if database_path.endswith(".db") and os.path.isabs(database_path) and os.path.exists(database_path):
                 break
-            default = database_path + '/' if Path(database_path).is_dir() else database_path
+            default = database_path + "/" if Path(database_path).is_dir() else database_path
 
-        default = ''
+        default = ""
         while True:
             outputs_path = os.path.expanduser(
                 prompt(
                     "Outputs: Specify absolute path to outputs/images directory to import into: ",
-                    completer = PathCompleter(expanduser=True, only_directories=True),
-                    default = default,
-                ))
+                    completer=PathCompleter(expanduser=True, only_directories=True),
+                    default=default,
+                )
+            )
 
             if outputs_path.endswith("images") and os.path.isabs(outputs_path) and os.path.exists(outputs_path):
                 break
-            default = outputs_path + '/' if Path(outputs_path).is_dir() else outputs_path
-            
+            default = outputs_path + "/" if Path(outputs_path).is_dir() else outputs_path
+
         self.database_path = database_path
         self.outputs_path = outputs_path
 
@@ -136,17 +146,19 @@ class Config:
     def load_paths_from_yaml(self, yaml_path):
         """Load an Invoke AI yaml file and get the database and outputs paths."""
         try:
-            with open(yaml_path, 'rt', encoding=locale.getpreferredencoding()) as file:
+            with open(yaml_path, "rt", encoding=locale.getpreferredencoding()) as file:
                 yamlinfo = yaml.safe_load(file)
-                db_dir = yamlinfo.get("InvokeAI",{}).get("Paths",{}).get("db_dir", None)
-                outdir = yamlinfo.get("InvokeAI",{}).get("Paths",{}).get("outdir", None)
+                db_dir = yamlinfo.get("InvokeAI", {}).get("Paths", {}).get("db_dir", None)
+                outdir = yamlinfo.get("InvokeAI", {}).get("Paths", {}).get("outdir", None)
                 return db_dir, outdir
         except Exception:
             print(f"Failed to load paths from yaml file! {yaml_path}!")
             return None, None
 
+
 class ImportStats:
     """DTO for tracking work progress."""
+
     def __init__(self):
         pass
 
@@ -171,8 +183,10 @@ class ImportStats:
         out_str += f"{seconds:.2f} second(s)"
         return out_str
 
+
 class InvokeAIMetadata:
     """DTO for core Invoke AI generation properties parsed from metadata."""
+
     def __init__(self):
         pass
 
@@ -234,6 +248,7 @@ class InvokeAIMetadata:
 
 class InvokeAIMetadataParser:
     """Parses strings with json data  to find Invoke AI core metadata properties."""
+
     def __init__(self):
         pass
 
@@ -271,15 +286,15 @@ class InvokeAIMetadataParser:
             props.width = img_node.get("width")
             props.height = img_node.get("height")
             props.seed = img_node.get("seed")
-            props.rand_device = "cuda" #hardcoded since all generations pre 3.0 used cuda random noise instead of cpu
+            props.rand_device = "cuda"  # hardcoded since all generations pre 3.0 used cuda random noise instead of cpu
             props.cfg_scale = img_node.get("cfg_scale")
             props.steps = img_node.get("steps")
             props.scheduler = self.map_scheduler(img_node.get("sampler"))
             props.strength = img_node.get("strength")
             if props.strength is None:
-                props.strength = img_node.get("strength_steps") # try second name for this property
+                props.strength = img_node.get("strength_steps")  # try second name for this property
             props.init_image = img_node.get("init_image_path")
-            if props.init_image is None: # try second name for this property
+            if props.init_image is None:  # try second name for this property
                 props.init_image = img_node.get("init_img")
             # remove the path info from init_image so if we move the init image, it will be correctly relative in the new location
             if props.init_image is not None:
@@ -299,7 +314,7 @@ class InvokeAIMetadataParser:
         props.imported_app_version = "3.0.0 or later"
         props.generation_mode = tag_value.get("type")
         if props.generation_mode is not None:
-            props.generation_mode = props.generation_mode.replace("t2l","txt2img").replace("l2l","img2img")
+            props.generation_mode = props.generation_mode.replace("t2l", "txt2img").replace("l2l", "img2img")
 
         props.width = tag_value.get("width")
         props.height = tag_value.get("height")
@@ -318,30 +333,41 @@ class InvokeAIMetadataParser:
         if old_scheduler is None:
             return None
 
-        match(old_scheduler):
-            case "ddim" : return "ddim"
-            case "plms" : return "pnmd"
-            case "k_lms" : return "lms"
-            case "k_dpm_2" : return "kdpm_2"
-            case "k_dpm_2_a" : return "kdpm_2_a"
-            case "dpmpp_2" : return "dpmpp_2s"
-            case "k_dpmpp_2" : return "dpmpp_2m"
-            case "k_dpmpp_2_a" : return None #invalid, in 2.3.x, selecting this sample would just fallback to last run or plms if new session
-            case "k_euler" : return "euler"
-            case "k_euler_a" : return "euler_a"
-            case "k_heun" : return "heun"
+        match (old_scheduler):
+            case "ddim":
+                return "ddim"
+            case "plms":
+                return "pnmd"
+            case "k_lms":
+                return "lms"
+            case "k_dpm_2":
+                return "kdpm_2"
+            case "k_dpm_2_a":
+                return "kdpm_2_a"
+            case "dpmpp_2":
+                return "dpmpp_2s"
+            case "k_dpmpp_2":
+                return "dpmpp_2m"
+            case "k_dpmpp_2_a":
+                return None  # invalid, in 2.3.x, selecting this sample would just fallback to last run or plms if new session
+            case "k_euler":
+                return "euler"
+            case "k_euler_a":
+                return "euler_a"
+            case "k_heun":
+                return "heun"
         return None
 
     def split_prompt(self, raw_prompt: str):
         """Split the unified prompt strings by extracting all negative prompt blocks out into the negative prompt."""
         if raw_prompt is None:
             return "", ""
-        raw_prompt_search = raw_prompt.replace("\r","").replace("\n","")
+        raw_prompt_search = raw_prompt.replace("\r", "").replace("\n", "")
         matches = re.findall(r"\[(.+?)\]", raw_prompt_search)
         if len(matches) > 0:
             negative_prompt = ""
             if len(matches) == 1:
-                negative_prompt = matches[0].strip().strip(',')
+                negative_prompt = matches[0].strip().strip(",")
             else:
                 for match in matches:
                     negative_prompt += f"({match.strip().strip(',')})"
@@ -350,10 +376,12 @@ class InvokeAIMetadataParser:
             positive_prompt = raw_prompt_search.strip()
             negative_prompt = ""
 
-        return positive_prompt,negative_prompt
+        return positive_prompt, negative_prompt
+
 
 class DatabaseMapper:
     """Class to abstract database functionality."""
+
     def __init__(self, database_path, database_backup_dir):
         self.database_path = database_path
         self.database_backup_dir = database_backup_dir
@@ -380,7 +408,7 @@ class DatabaseMapper:
         return True if len(rows) > 0 else False
 
     def add_new_image_to_database(self, filename, width, height, metadata, modified_date_string):
-        """Add an image to the database."""        
+        """Add an image to the database."""
         sql_add_image = f"""INSERT INTO images (image_name, image_origin, image_category, width, height, session_id, node_id, metadata, is_intermediate, created_at, updated_at)
 VALUES ('{filename}', 'internal', 'general', {width}, {height}, null, null, '{metadata}', 0, '{modified_date_string}', '{modified_date_string}')"""
         self.cursor.execute(sql_add_image)
@@ -391,7 +419,7 @@ VALUES ('{filename}', 'internal', 'general', {width}, {height}, null, null, '{me
         sql_find_board = f"SELECT board_id FROM boards WHERE board_name='{board_name}' COLLATE NOCASE"
         self.cursor.execute(sql_find_board)
         rows = self.cursor.fetchall()
-        if len(rows)>0:
+        if len(rows) > 0:
             return rows[0][0]
         else:
             board_date_string = datetime.datetime.utcnow().date().isoformat()
@@ -417,18 +445,20 @@ VALUES ('{filename}', 'internal', 'general', {width}, {height}, null, null, '{me
             self.connection.close()
 
     def backup(self, timestamp_string):
-        """Take a backup of the database."""        
+        """Take a backup of the database."""
         if not os.path.exists(self.database_backup_dir):
-            print (f"Database backup directory {self.database_backup_dir} does not exist -> creating...", end="")
+            print(f"Database backup directory {self.database_backup_dir} does not exist -> creating...", end="")
             os.makedirs(self.database_backup_dir)
-            print ("Done!")
+            print("Done!")
         database_backup_path = os.path.join(self.database_backup_dir, f"backup-{timestamp_string}-invokeai.db")
-        print (f"Making DB Backup at {database_backup_path}...", end="")
+        print(f"Making DB Backup at {database_backup_path}...", end="")
         shutil.copy2(self.database_path, database_backup_path)
-        print ("Done!")
+        print("Done!")
+
 
 class MediaImportProcessor:
     """Containing class for script functionality."""
+
     def __init__(self):
         pass
 
@@ -437,25 +467,28 @@ class MediaImportProcessor:
     def get_import_file_list(self):
         """Ask the user for the import folder and scan for the list of files to return."""
         while True:
-            default = ''
+            default = ""
             while True:
                 import_dir = os.path.expanduser(
                     prompt(
                         "Inputs: Specify absolute path containing InvokeAI .png images to import: ",
-                        completer = PathCompleter(expanduser=True, only_directories=True),
-                        default = default,
-                    ))
-                if len(import_dir)>0 and Path(import_dir).is_dir():
+                        completer=PathCompleter(expanduser=True, only_directories=True),
+                        default=default,
+                    )
+                )
+                if len(import_dir) > 0 and Path(import_dir).is_dir():
                     break
                 default = import_dir
 
-            recurse_directories = (prompt("Include files from subfolders recursively [yN]? ").strip() or 'N').upper().startswith('N')
+            recurse_directories = (
+                (prompt("Include files from subfolders recursively [yN]? ").strip() or "N").upper().startswith("N")
+            )
             if recurse_directories:
                 is_recurse = False
-                matching_file_list = glob.glob(import_dir + '/*.png', recursive=False)
+                matching_file_list = glob.glob(import_dir + "/*.png", recursive=False)
             else:
                 is_recurse = True
-                matching_file_list = glob.glob(import_dir + '/**/*.png', recursive=True)
+                matching_file_list = glob.glob(import_dir + "/**/*.png", recursive=True)
 
             if len(matching_file_list) > 0:
                 return import_dir, is_recurse, matching_file_list
@@ -475,17 +508,23 @@ class MediaImportProcessor:
         while True:
             print("\r\nOptions for board selection for imported images:")
             print(f"1) Select an existing board name. (found {len(board_names)})")
-            print( "2) Specify a board name to create/add to.")
-            print( "3) Create/add to board named 'IMPORT'.")
-            print(f"4) Create/add to board named 'IMPORT' with the current datetime string appended (.e.g IMPORT_{timestamp_string}).")
-            print( "5) Create/add to board named 'IMPORT' with a the original file app_version appended (.e.g IMPORT_2.2.5).")
+            print("2) Specify a board name to create/add to.")
+            print("3) Create/add to board named 'IMPORT'.")
+            print(
+                f"4) Create/add to board named 'IMPORT' with the current datetime string appended (.e.g IMPORT_{timestamp_string})."
+            )
+            print(
+                "5) Create/add to board named 'IMPORT' with a the original file app_version appended (.e.g IMPORT_2.2.5)."
+            )
             input_option = input("Specify desired board option: ")
-            match(input_option):
-                case "1" :
+            match (input_option):
+                case "1":
                     if len(board_names) < 1:
                         print("\r\nThere are no existing board names to choose from. Select another option!")
                         continue
-                    board_name = self.select_item_from_list(board_names, "board name", True, "Cancel, go back and choose a different board option.")
+                    board_name = self.select_item_from_list(
+                        board_names, "board name", True, "Cancel, go back and choose a different board option."
+                    )
                     if board_name is not None:
                         return board_name
                 case "2":
@@ -493,7 +532,7 @@ class MediaImportProcessor:
                         board_name = input("Specify new/existing board name: ")
                         if board_name:
                             return board_name
-                case "3" :
+                case "3":
                     return "IMPORT"
                 case "4":
                     return f"IMPORT_{timestamp_string}"
@@ -502,7 +541,7 @@ class MediaImportProcessor:
 
     def select_item_from_list(self, items, entity_name, allow_cancel, cancel_string):
         """A general function to render a list of items to select in the console, prompt the user for a selection and ensure a valid entry is selected."""
-        print (f"Select a {entity_name.lower()} from the following list:")
+        print(f"Select a {entity_name.lower()} from the following list:")
         index = 1
         for item in items:
             print(f"{index}) {item}")
@@ -516,8 +555,8 @@ class MediaImportProcessor:
                 continue
             if allow_cancel and option_number == index:
                 return None
-            if option_number >=1 and option_number <= len(items):
-                return items[option_number-1]
+            if option_number >= 1 and option_number <= len(items):
+                return items[option_number - 1]
 
     def import_image(self, filepath: str, board_name_option: str, db_mapper: DatabaseMapper, config: Config):
         """Import a single file by its path"""
@@ -577,12 +616,14 @@ class MediaImportProcessor:
 
             latest_json_string = converted_field.to_json()
 
-        print (f"From Invoke AI Version {log_version_note} with dimensions {png_width} x {png_height}.")
+        print(f"From Invoke AI Version {log_version_note} with dimensions {png_width} x {png_height}.")
 
         # if metadata needs update, then update metdata and copy in one shot
         if destination_needs_meta_update:
             print("Updating metadata while copying...", end="")
-            self.update_file_metadata_while_copying(filepath, file_destination_path, "invokeai_metadata", latest_json_string)
+            self.update_file_metadata_while_copying(
+                filepath, file_destination_path, "invokeai_metadata", latest_json_string
+            )
             print("Done!")
         else:
             print("No metadata update necessary, copying only...", end="")
@@ -591,7 +632,7 @@ class MediaImportProcessor:
 
         # create thumbnail
         print("Creating thumbnail...", end="")
-        thumbnail_path = os.path.join(config.thumbnail_path, os.path.splitext(file_name)[0]) +  ".webp"
+        thumbnail_path = os.path.join(config.thumbnail_path, os.path.splitext(file_name)[0]) + ".webp"
         thumbnail_size = 256, 256
         with PIL.Image.open(filepath) as source_image:
             source_image.thumbnail(thumbnail_size)
@@ -619,7 +660,7 @@ class MediaImportProcessor:
         db_mapper.add_new_image_to_database(file_name, png_width, png_height, latest_json_string, modified_time)
         print("Done!")
 
-        #add image to board
+        # add image to board
         print("Adding image to board......", end="")
         db_mapper.add_image_to_board(file_name, board_id)
         print("Done!")
@@ -638,7 +679,7 @@ class MediaImportProcessor:
             # re-add any existing invoke ai tags unless they are the one we are trying to add
             for key in existing_img_info:
                 if key != tag_name and key in ("dream", "Dream", "sd-metadata", "invokeai", "invokeai_metadata"):
-                    metadata.add_text(key,existing_img_info[key])
+                    metadata.add_text(key, existing_img_info[key])
             metadata.add_text(tag_name, tag_value)
             target_image.save(file_destination_path, pnginfo=metadata)
 
@@ -648,7 +689,7 @@ class MediaImportProcessor:
         print("===============================================================================")
         print("This script will import images generated by earlier versions of")
         print("InvokeAI into the currently installed root directory:")
-        print(f'   {app_config.root_path}')
+        print(f"   {app_config.root_path}")
         print("If this is not what you want to do, type ctrl-C now to cancel.")
 
         # load config
@@ -683,16 +724,22 @@ class MediaImportProcessor:
         print("- If the same file name already exists in the destination, the file will be skipped.")
         print("- If the same file name already has a record in the database, the file will be skipped.")
         print("- Invoke AI metadata tags will be updated/written into the imported copy only.")
-        print("- On the imported copy, only Invoke AI known tags (latest and legacy) will be retained (dream, sd-metadata, invokeai, invokeai_metadata)")
-        print("- A property 'imported_app_version' will be added to metadata that can be viewed in the UI's metadata viewer.")
-        print("- The new 3.x InvokeAI outputs folder structure is flat so recursively found source imges will all be placed into the single outputs/images folder.")
+        print(
+            "- On the imported copy, only Invoke AI known tags (latest and legacy) will be retained (dream, sd-metadata, invokeai, invokeai_metadata)"
+        )
+        print(
+            "- A property 'imported_app_version' will be added to metadata that can be viewed in the UI's metadata viewer."
+        )
+        print(
+            "- The new 3.x InvokeAI outputs folder structure is flat so recursively found source imges will all be placed into the single outputs/images folder."
+        )
 
         while True:
-            should_continue = prompt("\nDo you wish to continue with the import [Yn] ? ").lower() or 'y'
-            if should_continue=='n':
+            should_continue = prompt("\nDo you wish to continue with the import [Yn] ? ").lower() or "y"
+            if should_continue == "n":
                 print("\r\nCancelling Import")
                 return
-            elif should_continue=='y':
+            elif should_continue == "y":
                 print()
                 break
 
@@ -725,9 +772,10 @@ class MediaImportProcessor:
         print(f"Errors during import                    : {ImportStats.count_file_errors}")
         if ImportStats.count_imported > 0:
             print("\r\nBreakdown of imported files by version:")
-            for key,version in ImportStats.count_imported_by_version.items():
+            for key, version in ImportStats.count_imported_by_version.items():
                 print(f"  {key:20} : {version}")
 
+
 def main():
     try:
         processor = MediaImportProcessor()
@@ -735,5 +783,6 @@ def main():
     except KeyboardInterrupt:
         print("\r\n\r\nUser cancelled execution.")
 
+
 if __name__ == "__main__":
     main()

From 0ccc3b509e252b15f628bb0494ac01727a8d3372 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Sat, 5 Aug 2023 12:19:24 -0400
Subject: [PATCH 079/287] add techjedi's import script, with some
 filecompletion tweaks

---
 invokeai/frontend/install/import_images.py | 739 +++++++++++++++++++++
 pyproject.toml                             |   1 +
 2 files changed, 740 insertions(+)
 create mode 100644 invokeai/frontend/install/import_images.py

diff --git a/invokeai/frontend/install/import_images.py b/invokeai/frontend/install/import_images.py
new file mode 100644
index 0000000000..1870fafbf8
--- /dev/null
+++ b/invokeai/frontend/install/import_images.py
@@ -0,0 +1,739 @@
+# Copyright (c) 2023 - The InvokeAI Team
+# Author: techjedi
+
+# pylint: disable=line-too-long
+# pylint: disable=broad-exception-caught
+"""Script to import images into the new database system for 3.0.0"""
+
+import os
+import datetime
+import shutil
+import locale
+import sqlite3
+import json
+import glob
+import re
+import uuid
+import yaml
+import PIL
+import PIL.ImageOps
+import PIL.PngImagePlugin
+
+from pathlib import Path
+from prompt_toolkit import prompt
+from prompt_toolkit.shortcuts import yes_no_dialog, message_dialog, input_dialog, button_dialog
+from prompt_toolkit.completion import PathCompleter
+from prompt_toolkit.key_binding import KeyBindings
+
+from invokeai.app.services.config import InvokeAIAppConfig
+app_config = InvokeAIAppConfig.get_config()
+
+bindings = KeyBindings()
+@bindings.add('c-c')
+def _(event):
+    raise KeyboardInterrupt
+
+# release notes
+# "Use All" with size dimensions not selectable in the UI will not load dimensions
+
+class Config:
+    """Configuration loader."""
+    def __init__(self):
+        pass
+
+    TIMESTAMP_STRING= datetime.datetime.utcnow().strftime("%Y%m%dT%H%M%SZ")
+
+    INVOKE_DIRNAME = "invokeai"
+    YAML_FILENAME = "invokeai.yaml"
+    DATABASE_FILENAME = "invokeai.db"
+
+    database_path = None
+    database_backup_dir = None
+    outputs_path = None
+    thumbnail_path = None
+
+    def find_and_load(self):
+        """find the yaml config file and load"""
+        root = app_config.root_path
+        if not self.confirm_and_load(os.path.abspath(root)):
+            print ("\r\nSpecify custom database and outputs paths:")
+            self.confirm_and_load_from_user()
+
+        self.database_backup_dir = os.path.join(os.path.dirname(self.database_path),"backup")
+        self.thumbnail_path = os.path.join(self.outputs_path,"thumbnails")
+
+    def confirm_and_load(self, invoke_root):
+        """Validates a yaml path exists, confirms the user wants to use it and loads config."""
+        yaml_path = os.path.join(invoke_root,self.YAML_FILENAME)
+        if os.path.exists(yaml_path):
+            db_dir, outdir = self.load_paths_from_yaml(yaml_path)
+            if os.path.isabs(db_dir):
+                database_path = os.path.join(db_dir,self.DATABASE_FILENAME)
+            else:
+                database_path = os.path.join(invoke_root,db_dir,self.DATABASE_FILENAME)
+
+            if os.path.isabs(outdir):
+                outputs_path = os.path.join(outdir, "images")
+            else:
+                outputs_path = os.path.join(invoke_root, outdir, "images")
+
+            db_exists = os.path.exists(database_path)
+            outdir_exists = os.path.exists(outputs_path)
+
+            text = f"Found {self.YAML_FILENAME} file at {yaml_path}:"
+            text += f"\n  Database : {database_path}"
+            text += f"\n  Outputs  : {outputs_path}"
+            text += "\n\nUse these paths for import (yes) or choose different ones (no) [Yn]: "
+
+            if db_exists and outdir_exists:
+                if (prompt(text).strip() or 'Y').upper().startswith('Y'):
+                    self.database_path = database_path
+                    self.outputs_path = outputs_path
+                    return True
+                else:
+                    return False
+            else:
+                print("  Invalid: One or more paths in this config did not exist and cannot be used.")
+
+        else:
+            message_dialog(
+                title="Path not found",
+                text=f"Auto-discovery of configuration failed! Could not find ({yaml_path}), Custom paths can be specified."
+            ).run()
+            return False
+
+    def confirm_and_load_from_user(self):
+        default = ''
+        while True:
+            database_path = os.path.expanduser(
+                prompt(
+                    "Database: Specify absolute path to the database to import into: ",
+                    completer=PathCompleter(expanduser=True, file_filter=lambda x: Path(x).is_dir() or x.endswith(('.db'))),
+                    default = default,
+                ))
+            if database_path.endswith(".db") and os.path.isabs(database_path) and os.path.exists(database_path):
+                break
+            default = database_path + '/' if Path(database_path).is_dir() else database_path
+
+        default = ''
+        while True:
+            outputs_path = os.path.expanduser(
+                prompt(
+                    "Outputs: Specify absolute path to outputs/images directory to import into: ",
+                    completer = PathCompleter(expanduser=True, only_directories=True),
+                    default = default,
+                ))
+
+            if outputs_path.endswith("images") and os.path.isabs(outputs_path) and os.path.exists(outputs_path):
+                break
+            default = outputs_path + '/' if Path(outputs_path).is_dir() else outputs_path
+            
+        self.database_path = database_path
+        self.outputs_path = outputs_path
+
+        return
+
+    def load_paths_from_yaml(self, yaml_path):
+        """Load an Invoke AI yaml file and get the database and outputs paths."""
+        try:
+            with open(yaml_path, 'rt', encoding=locale.getpreferredencoding()) as file:
+                yamlinfo = yaml.safe_load(file)
+                db_dir = yamlinfo.get("InvokeAI",{}).get("Paths",{}).get("db_dir", None)
+                outdir = yamlinfo.get("InvokeAI",{}).get("Paths",{}).get("outdir", None)
+                return db_dir, outdir
+        except Exception:
+            print(f"Failed to load paths from yaml file! {yaml_path}!")
+            return None, None
+
+class ImportStats:
+    """DTO for tracking work progress."""
+    def __init__(self):
+        pass
+
+    time_start = datetime.datetime.utcnow()
+    count_source_files = 0
+    count_skipped_file_exists = 0
+    count_skipped_db_exists = 0
+    count_imported = 0
+    count_imported_by_version = {}
+    count_file_errors = 0
+
+    @staticmethod
+    def get_elapsed_time_string():
+        """Get a friendly time string for the  time elapsed since processing start."""
+        time_now = datetime.datetime.utcnow()
+        total_seconds = (time_now - ImportStats.time_start).total_seconds()
+        hours = int((total_seconds) / 3600)
+        minutes = int(((total_seconds) % 3600) / 60)
+        seconds = total_seconds % 60
+        out_str = f"{hours} hour(s) -" if hours > 0 else ""
+        out_str += f"{minutes} minute(s) -" if minutes > 0 else ""
+        out_str += f"{seconds:.2f} second(s)"
+        return out_str
+
+class InvokeAIMetadata:
+    """DTO for core Invoke AI generation properties parsed from metadata."""
+    def __init__(self):
+        pass
+
+    def __str__(self):
+        formatted_str = f"{self.generation_mode}~{self.steps}~{self.cfg_scale}~{self.model_name}~{self.scheduler}~{self.seed}~{self.width}~{self.height}~{self.rand_device}~{self.strength}~{self.init_image}"
+        formatted_str += f"\r\npositive_prompt: {self.positive_prompt}"
+        formatted_str += f"\r\nnegative_prompt: {self.negative_prompt}"
+        return formatted_str
+
+    generation_mode = None
+    steps = None
+    cfg_scale = None
+    model_name = None
+    scheduler = None
+    seed = None
+    width = None
+    height = None
+    rand_device = None
+    strength = None
+    init_image = None
+    positive_prompt = None
+    negative_prompt = None
+    imported_app_version = None
+
+    def to_json(self):
+        """Convert the active instance to json format."""
+        prop_dict = {}
+        prop_dict["generation_mode"] = self.generation_mode
+        prop_dict["positive_prompt"] = self.positive_prompt
+        prop_dict["negative_prompt"] = self.negative_prompt
+        prop_dict["width"] = self.width
+        prop_dict["height"] = self.height
+        prop_dict["seed"] = self.seed
+        prop_dict["rand_device"] = self.rand_device
+        prop_dict["cfg_scale"] = self.cfg_scale
+        prop_dict["steps"] = self.steps
+        prop_dict["scheduler"] = self.scheduler
+        prop_dict["clip_skip"] = 0
+        prop_dict["model"] = {}
+        prop_dict["model"]["model_name"] = self.model_name
+        prop_dict["model"]["base_model"] = None
+        prop_dict["controlnets"] = []
+        prop_dict["loras"] = []
+        prop_dict["vae"] = None
+        prop_dict["strength"] = self.strength
+        prop_dict["init_image"] = self.init_image
+        prop_dict["positive_style_prompt"] = None
+        prop_dict["negative_style_prompt"] = None
+        prop_dict["refiner_model"] = None
+        prop_dict["refiner_cfg_scale"] = None
+        prop_dict["refiner_steps"] = None
+        prop_dict["refiner_scheduler"] = None
+        prop_dict["refiner_aesthetic_store"] = None
+        prop_dict["refiner_start"] = None
+        prop_dict["imported_app_version"] = self.imported_app_version
+
+        return json.dumps(prop_dict)
+
+
+class InvokeAIMetadataParser:
+    """Parses strings with json data  to find Invoke AI core metadata properties."""
+    def __init__(self):
+        pass
+
+    def parse_meta_tag_dream(self, dream_string):
+        """Take as input an png metadata json node for the 'dream' field variant from prior to 1.15"""
+        props = InvokeAIMetadata()
+
+        props.imported_app_version = "pre1.15"
+        seed_match = re.search("-S\\s*(\\d+)", dream_string)
+        if seed_match is not None:
+            try:
+                props.seed = int(seed_match[1])
+            except ValueError:
+                props.seed = None
+            raw_prompt = re.sub("(-S\\s*\\d+)", "", dream_string)
+        else:
+            raw_prompt = dream_string
+
+        pos_prompt, neg_prompt = self.split_prompt(raw_prompt)
+
+        props.positive_prompt = pos_prompt
+        props.negative_prompt = neg_prompt
+
+        return props
+
+    def parse_meta_tag_sd_metadata(self, tag_value):
+        """Take as input an png metadata json node for the 'sd-metadata' field variant from 1.15 through 2.3.5 post 2"""
+        props = InvokeAIMetadata()
+
+        props.imported_app_version = tag_value.get("app_version")
+        props.model_name = tag_value.get("model_weights")
+        img_node = tag_value.get("image")
+        if img_node is not None:
+            props.generation_mode = img_node.get("type")
+            props.width = img_node.get("width")
+            props.height = img_node.get("height")
+            props.seed = img_node.get("seed")
+            props.rand_device = "cuda" #hardcoded since all generations pre 3.0 used cuda random noise instead of cpu
+            props.cfg_scale = img_node.get("cfg_scale")
+            props.steps = img_node.get("steps")
+            props.scheduler = self.map_scheduler(img_node.get("sampler"))
+            props.strength = img_node.get("strength")
+            if props.strength is None:
+                props.strength = img_node.get("strength_steps") # try second name for this property
+            props.init_image = img_node.get("init_image_path")
+            if props.init_image is None: # try second name for this property
+                props.init_image = img_node.get("init_img")
+            # remove the path info from init_image so if we move the init image, it will be correctly relative in the new location
+            if props.init_image is not None:
+                props.init_image = os.path.basename(props.init_image)
+            raw_prompt = img_node.get("prompt")
+            if isinstance(raw_prompt, list):
+                raw_prompt = raw_prompt[0].get("prompt")
+
+            props.positive_prompt, props.negative_prompt = self.split_prompt(raw_prompt)
+
+        return props
+
+    def parse_meta_tag_invokeai(self, tag_value):
+        """Take as input an png metadata json node for the 'invokeai' field variant from 3.0.0 beta 1 through 5"""
+        props = InvokeAIMetadata()
+
+        props.imported_app_version = "3.0.0 or later"
+        props.generation_mode = tag_value.get("type")
+        if props.generation_mode is not None:
+            props.generation_mode = props.generation_mode.replace("t2l","txt2img").replace("l2l","img2img")
+
+        props.width = tag_value.get("width")
+        props.height = tag_value.get("height")
+        props.seed = tag_value.get("seed")
+        props.cfg_scale = tag_value.get("cfg_scale")
+        props.steps = tag_value.get("steps")
+        props.scheduler = tag_value.get("scheduler")
+        props.strength = tag_value.get("strength")
+        props.positive_prompt = tag_value.get("positive_conditioning")
+        props.negative_prompt = tag_value.get("negative_conditioning")
+
+        return props
+
+    def map_scheduler(self, old_scheduler):
+        """Convert the legacy sampler names to matching 3.0 schedulers"""
+        if old_scheduler is None:
+            return None
+
+        match(old_scheduler):
+            case "ddim" : return "ddim"
+            case "plms" : return "pnmd"
+            case "k_lms" : return "lms"
+            case "k_dpm_2" : return "kdpm_2"
+            case "k_dpm_2_a" : return "kdpm_2_a"
+            case "dpmpp_2" : return "dpmpp_2s"
+            case "k_dpmpp_2" : return "dpmpp_2m"
+            case "k_dpmpp_2_a" : return None #invalid, in 2.3.x, selecting this sample would just fallback to last run or plms if new session
+            case "k_euler" : return "euler"
+            case "k_euler_a" : return "euler_a"
+            case "k_heun" : return "heun"
+        return None
+
+    def split_prompt(self, raw_prompt: str):
+        """Split the unified prompt strings by extracting all negative prompt blocks out into the negative prompt."""
+        if raw_prompt is None:
+            return "", ""
+        raw_prompt_search = raw_prompt.replace("\r","").replace("\n","")
+        matches = re.findall(r"\[(.+?)\]", raw_prompt_search)
+        if len(matches) > 0:
+            negative_prompt = ""
+            if len(matches) == 1:
+                negative_prompt = matches[0].strip().strip(',')
+            else:
+                for match in matches:
+                    negative_prompt += f"({match.strip().strip(',')})"
+            positive_prompt = re.sub(r"(\[.+?\])", "", raw_prompt_search).strip()
+        else:
+            positive_prompt = raw_prompt_search.strip()
+            negative_prompt = ""
+
+        return positive_prompt,negative_prompt
+
+class DatabaseMapper:
+    """Class to abstract database functionality."""
+    def __init__(self, database_path, database_backup_dir):
+        self.database_path = database_path
+        self.database_backup_dir = database_backup_dir
+        self.connection = None
+        self.cursor = None
+
+    def connect(self):
+        """Open connection to the database."""
+        self.connection = sqlite3.connect(self.database_path)
+        self.cursor = self.connection.cursor()
+
+    def get_board_names(self):
+        """Get a list of the current board names from the database."""
+        sql_get_board_name = "SELECT board_name FROM boards"
+        self.cursor.execute(sql_get_board_name)
+        rows = self.cursor.fetchall()
+        return [row[0] for row in rows]
+
+    def does_image_exist(self, image_name):
+        """Check database if a image name already exists and return a boolean."""
+        sql_get_image_by_name = f"SELECT image_name FROM images WHERE image_name='{image_name}'"
+        self.cursor.execute(sql_get_image_by_name)
+        rows = self.cursor.fetchall()
+        return True if len(rows) > 0 else False
+
+    def add_new_image_to_database(self, filename, width, height, metadata, modified_date_string):
+        """Add an image to the database."""        
+        sql_add_image = f"""INSERT INTO images (image_name, image_origin, image_category, width, height, session_id, node_id, metadata, is_intermediate, created_at, updated_at)
+VALUES ('{filename}', 'internal', 'general', {width}, {height}, null, null, '{metadata}', 0, '{modified_date_string}', '{modified_date_string}')"""
+        self.cursor.execute(sql_add_image)
+        self.connection.commit()
+
+    def get_board_id_with_create(self, board_name):
+        """Get the board id for supplied name, and create the board if one does not exist."""
+        sql_find_board = f"SELECT board_id FROM boards WHERE board_name='{board_name}' COLLATE NOCASE"
+        self.cursor.execute(sql_find_board)
+        rows = self.cursor.fetchall()
+        if len(rows)>0:
+            return rows[0][0]
+        else:
+            board_date_string = datetime.datetime.utcnow().date().isoformat()
+            new_board_id = str(uuid.uuid4())
+            sql_insert_board = f"INSERT INTO boards (board_id, board_name, created_at, updated_at) VALUES ('{new_board_id}', '{board_name}', '{board_date_string}', '{board_date_string}')"
+            self.cursor.execute(sql_insert_board)
+            self.connection.commit()
+            return new_board_id
+
+    def add_image_to_board(self, filename, board_id):
+        """Add an image mapping to a board."""
+        add_datetime_str = datetime.datetime.utcnow().isoformat()
+        sql_add_image_to_board = f"""INSERT INTO board_images (board_id, image_name, created_at, updated_at)
+            VALUES ('{board_id}', '{filename}', '{add_datetime_str}', '{add_datetime_str}')"""
+        self.cursor.execute(sql_add_image_to_board)
+        self.connection.commit()
+
+    def disconnect(self):
+        """Disconnect from the db, cleaning up connections and cursors."""
+        if self.cursor is not None:
+            self.cursor.close()
+        if self.connection is not None:
+            self.connection.close()
+
+    def backup(self, timestamp_string):
+        """Take a backup of the database."""        
+        if not os.path.exists(self.database_backup_dir):
+            print (f"Database backup directory {self.database_backup_dir} does not exist -> creating...", end="")
+            os.makedirs(self.database_backup_dir)
+            print ("Done!")
+        database_backup_path = os.path.join(self.database_backup_dir, f"backup-{timestamp_string}-invokeai.db")
+        print (f"Making DB Backup at {database_backup_path}...", end="")
+        shutil.copy2(self.database_path, database_backup_path)
+        print ("Done!")
+
+class MediaImportProcessor:
+    """Containing class for script functionality."""
+    def __init__(self):
+        pass
+
+    board_name_id_map = {}
+
+    def get_import_file_list(self):
+        """Ask the user for the import folder and scan for the list of files to return."""
+        while True:
+            default = ''
+            while True:
+                import_dir = os.path.expanduser(
+                    prompt(
+                        "Inputs: Specify absolute path containing InvokeAI .png images to import: ",
+                        completer = PathCompleter(expanduser=True, only_directories=True),
+                        default = default,
+                    ))
+                if len(import_dir)>0 and Path(import_dir).is_dir():
+                    break
+                default = import_dir
+
+            recurse_directories = (prompt("Include files from subfolders recursively [yN]? ").strip() or 'N').upper().startswith('N')
+            if recurse_directories:
+                is_recurse = False
+                matching_file_list = glob.glob(import_dir + '/*.png', recursive=False)
+            else:
+                is_recurse = True
+                matching_file_list = glob.glob(import_dir + '/**/*.png', recursive=True)
+
+            if len(matching_file_list) > 0:
+                return import_dir, is_recurse, matching_file_list
+            else:
+                print(f"The specific path {import_dir} exists, but does not contain .png files!")
+
+    def get_file_details(self, filepath):
+        """Retrieve the embedded metedata fields and dimensions from an image file."""
+        with PIL.Image.open(filepath) as img:
+            img.load()
+            png_width, png_height = img.size
+            img_info = img.info
+        return img_info, png_width, png_height
+
+    def select_board_option(self, board_names, timestamp_string):
+        """Allow the user to choose how a board is selected for imported files."""
+        while True:
+            print("\r\nOptions for board selection for imported images:")
+            print(f"1) Select an existing board name. (found {len(board_names)})")
+            print( "2) Specify a board name to create/add to.")
+            print( "3) Create/add to board named 'IMPORT'.")
+            print(f"4) Create/add to board named 'IMPORT' with the current datetime string appended (.e.g IMPORT_{timestamp_string}).")
+            print( "5) Create/add to board named 'IMPORT' with a the original file app_version appended (.e.g IMPORT_2.2.5).")
+            input_option = input("Specify desired board option: ")
+            match(input_option):
+                case "1" :
+                    if len(board_names) < 1:
+                        print("\r\nThere are no existing board names to choose from. Select another option!")
+                        continue
+                    board_name = self.select_item_from_list(board_names, "board name", True, "Cancel, go back and choose a different board option.")
+                    if board_name is not None:
+                        return board_name
+                case "2":
+                    while True:
+                        board_name = input("Specify new/existing board name: ")
+                        if board_name:
+                            return board_name
+                case "3" :
+                    return "IMPORT"
+                case "4":
+                    return f"IMPORT_{timestamp_string}"
+                case "5":
+                    return "IMPORT_APPVERSION"
+
+    def select_item_from_list(self, items, entity_name, allow_cancel, cancel_string):
+        """A general function to render a list of items to select in the console, prompt the user for a selection and ensure a valid entry is selected."""
+        print (f"Select a {entity_name.lower()} from the following list:")
+        index = 1
+        for item in items:
+            print(f"{index}) {item}")
+            index += 1
+        if allow_cancel:
+            print(f"{index}) {cancel_string}")
+        while True:
+            try:
+                option_number = int(input("Specify number of selection: "))
+            except ValueError:
+                continue
+            if allow_cancel and option_number == index:
+                return None
+            if option_number >=1 and option_number <= len(items):
+                return items[option_number-1]
+
+    def import_image(self, filepath: str, board_name_option: str, db_mapper: DatabaseMapper, config: Config):
+        """Import a single file by its path"""
+        parser = InvokeAIMetadataParser()
+        file_name = os.path.basename(filepath)
+        file_destination_path = os.path.join(config.outputs_path, file_name)
+
+        print("===============================================================================")
+        print(f"Importing {filepath}")
+
+        # check destination to see if the file was previously imported
+        if os.path.exists(file_destination_path):
+            print("File already exists in the destination, skipping!")
+            ImportStats.count_skipped_file_exists += 1
+            return
+
+        # check if file name is already referenced in the database
+        if db_mapper.does_image_exist(file_name):
+            print("A reference to a file with this name already exists in the database, skipping!")
+            ImportStats.count_skipped_db_exists += 1
+            return
+
+        # load image info and dimensions
+        img_info, png_width, png_height = self.get_file_details(filepath)
+
+        # parse metadata
+        destination_needs_meta_update = True
+        log_version_note = "(Unknown)"
+        if "invokeai_metadata" in img_info:
+            # for the latest, we will just re-emit the same json, no need to parse/modify
+            converted_field = None
+            latest_json_string = img_info.get("invokeai_metadata")
+            log_version_note = "3.0.0+"
+            destination_needs_meta_update = False
+        else:
+            if "sd-metadata" in img_info:
+                converted_field = parser.parse_meta_tag_sd_metadata(json.loads(img_info.get("sd-metadata")))
+            elif "invokeai" in img_info:
+                converted_field = parser.parse_meta_tag_invokeai(json.loads(img_info.get("invokeai")))
+            elif "dream" in img_info:
+                converted_field = parser.parse_meta_tag_dream(img_info.get("dream"))
+            elif "Dream" in img_info:
+                converted_field = parser.parse_meta_tag_dream(img_info.get("Dream"))
+            else:
+                converted_field = InvokeAIMetadata()
+                destination_needs_meta_update = False
+                print("File does not have metadata from known Invoke AI versions, add only, no update!")
+
+            # use the loaded img dimensions if the metadata didnt have them
+            if converted_field.width is None:
+                converted_field.width = png_width
+            if converted_field.height is None:
+                converted_field.height = png_height
+
+            log_version_note = converted_field.imported_app_version if converted_field else "NoVersion"
+            log_version_note = log_version_note or "NoVersion"
+
+            latest_json_string = converted_field.to_json()
+
+        print (f"From Invoke AI Version {log_version_note} with dimensions {png_width} x {png_height}.")
+
+        # if metadata needs update, then update metdata and copy in one shot
+        if destination_needs_meta_update:
+            print("Updating metadata while copying...", end="")
+            self.update_file_metadata_while_copying(filepath, file_destination_path, "invokeai_metadata", latest_json_string)
+            print("Done!")
+        else:
+            print("No metadata update necessary, copying only...", end="")
+            shutil.copy2(filepath, file_destination_path)
+            print("Done!")
+
+        # create thumbnail
+        print("Creating thumbnail...", end="")
+        thumbnail_path = os.path.join(config.thumbnail_path, os.path.splitext(file_name)[0]) +  ".webp"
+        thumbnail_size = 256, 256
+        with PIL.Image.open(filepath) as source_image:
+            source_image.thumbnail(thumbnail_size)
+            source_image.save(thumbnail_path, "webp")
+        print("Done!")
+
+        # finalize the dynamic board name if there is an APPVERSION token in it.
+        if converted_field is not None:
+            board_name = board_name_option.replace("APPVERSION", converted_field.imported_app_version or "NoVersion")
+        else:
+            board_name = board_name_option.replace("APPVERSION", "Latest")
+
+        # maintain a map of alrady created/looked up ids to avoid DB queries
+        print("Finding/Creating board...", end="")
+        if board_name in self.board_name_id_map:
+            board_id = self.board_name_id_map[board_name]
+        else:
+            board_id = db_mapper.get_board_id_with_create(board_name)
+            self.board_name_id_map[board_name] = board_id
+        print("Done!")
+
+        # add image to db
+        print("Adding image to database......", end="")
+        modified_time = datetime.datetime.utcfromtimestamp(os.path.getmtime(filepath))
+        db_mapper.add_new_image_to_database(file_name, png_width, png_height, latest_json_string, modified_time)
+        print("Done!")
+
+        #add image to board
+        print("Adding image to board......", end="")
+        db_mapper.add_image_to_board(file_name, board_id)
+        print("Done!")
+
+        ImportStats.count_imported += 1
+        if log_version_note in ImportStats.count_imported_by_version:
+            ImportStats.count_imported_by_version[log_version_note] += 1
+        else:
+            ImportStats.count_imported_by_version[log_version_note] = 1
+
+    def update_file_metadata_while_copying(self, filepath, file_destination_path, tag_name, tag_value):
+        """Perform a metadata update with save to a new destination which accomplishes a copy while updating metadata."""
+        with PIL.Image.open(filepath) as target_image:
+            existing_img_info = target_image.info
+            metadata = PIL.PngImagePlugin.PngInfo()
+            # re-add any existing invoke ai tags unless they are the one we are trying to add
+            for key in existing_img_info:
+                if key != tag_name and key in ("dream", "Dream", "sd-metadata", "invokeai", "invokeai_metadata"):
+                    metadata.add_text(key,existing_img_info[key])
+            metadata.add_text(tag_name, tag_value)
+            target_image.save(file_destination_path, pnginfo=metadata)
+
+    def process(self):
+        """Begin main processing."""
+
+        print("===============================================================================")
+        print("This script will import images generated by earlier versions of")
+        print("InvokeAI into the currently installed root directory:")
+        print(f'   {app_config.root_path}')
+        print("If this is not what you want to do, type ctrl-C now to cancel.")
+
+        # load config
+        print("===============================================================================")
+        print("= Configuration & Settings")
+
+        config = Config()
+        config.find_and_load()
+        db_mapper = DatabaseMapper(config.database_path, config.database_backup_dir)
+        db_mapper.connect()
+
+        import_dir, is_recurse, import_file_list = self.get_import_file_list()
+        ImportStats.count_source_files = len(import_file_list)
+
+        board_names = db_mapper.get_board_names()
+        board_name_option = self.select_board_option(board_names, config.TIMESTAMP_STRING)
+
+        print("\r\n===============================================================================")
+        print("= Import Settings Confirmation")
+
+        print()
+        print(f"Database File Path               : {config.database_path}")
+        print(f"Outputs/Images Directory         : {config.outputs_path}")
+        print(f"Import Image Source Directory    : {import_dir}")
+        print(f"  Recurse Source SubDirectories  : {'Yes' if is_recurse else 'No'}")
+        print(f"Count of .png file(s) found      : {len(import_file_list)}")
+        print(f"Board name option specified      : {board_name_option}")
+        print(f"Database backup will be taken at : {config.database_backup_dir}")
+
+        print("\r\nNotes about the import process:")
+        print("- Source image files will not be modified, only copied to the outputs directory.")
+        print("- If the same file name already exists in the destination, the file will be skipped.")
+        print("- If the same file name already has a record in the database, the file will be skipped.")
+        print("- Invoke AI metadata tags will be updated/written into the imported copy only.")
+        print("- On the imported copy, only Invoke AI known tags (latest and legacy) will be retained (dream, sd-metadata, invokeai, invokeai_metadata)")
+        print("- A property 'imported_app_version' will be added to metadata that can be viewed in the UI's metadata viewer.")
+        print("- The new 3.x InvokeAI outputs folder structure is flat so recursively found source imges will all be placed into the single outputs/images folder.")
+
+        while True:
+            should_continue = prompt("\nDo you wish to continue with the import [Yn] ? ").lower() or 'y'
+            if should_continue=='n':
+                print("\r\nCancelling Import")
+                return
+            elif should_continue=='y':
+                print()
+                break
+
+        db_mapper.backup(config.TIMESTAMP_STRING)
+
+        print()
+        ImportStats.time_start = datetime.datetime.utcnow()
+
+        for filepath in import_file_list:
+            try:
+                self.import_image(filepath, board_name_option, db_mapper, config)
+            except sqlite3.Error as sql_ex:
+                print(f"A database related exception was found processing {filepath}, will continue to next file. ")
+                print("Exception detail:")
+                print(sql_ex)
+                ImportStats.count_file_errors += 1
+            except Exception as ex:
+                print(f"Exception processing {filepath}, will continue to next file. ")
+                print("Exception detail:")
+                print(ex)
+                ImportStats.count_file_errors += 1
+
+        print("\r\n===============================================================================")
+        print(f"= Import Complete - Elpased Time: {ImportStats.get_elapsed_time_string()}")
+        print()
+        print(f"Source File(s)                          : {ImportStats.count_source_files}")
+        print(f"Total Imported                          : {ImportStats.count_imported}")
+        print(f"Skipped b/c file already exists on disk : {ImportStats.count_skipped_file_exists}")
+        print(f"Skipped b/c file already exists in db   : {ImportStats.count_skipped_db_exists}")
+        print(f"Errors during import                    : {ImportStats.count_file_errors}")
+        if ImportStats.count_imported > 0:
+            print("\r\nBreakdown of imported files by version:")
+            for key,version in ImportStats.count_imported_by_version.items():
+                print(f"  {key:20} : {version}")
+
+def main():
+    try:
+        processor = MediaImportProcessor()
+        processor.process()
+    except KeyboardInterrupt:
+        print("\r\n\r\nUser cancelled execution.")
+
+if __name__ == "__main__":
+    main()
diff --git a/pyproject.toml b/pyproject.toml
index b3f12481a8..d5aa3f37aa 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -139,6 +139,7 @@ dependencies = [
 "invokeai-metadata" = "invokeai.frontend.CLI.sd_metadata:print_metadata"
 "invokeai-node-cli" = "invokeai.app.cli_app:invoke_cli"
 "invokeai-node-web" = "invokeai.app.api_app:invoke_api"
+"invokeai-import-images" = "invokeai.frontend.install.import_images:main"
 
 [project.urls]
 "Homepage" = "https://invoke-ai.github.io/InvokeAI/"

From b2eb83deff8d525ca9799b0c0251aa0f26b9b5d2 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Sat, 5 Aug 2023 12:26:52 -0400
Subject: [PATCH 080/287] add docs

---
 README.md                                  | 23 +++++++++++++++++++---
 docs/installation/010_INSTALL_AUTOMATED.md |  2 +-
 2 files changed, 21 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 2efaacd031..7b3f95ab10 100644
--- a/README.md
+++ b/README.md
@@ -306,13 +306,30 @@ InvokeAI. The second will prepare the 2.3 directory for use with 3.0.
 You may now launch the WebUI in the usual way, by selecting option [1]
 from the launcher script
 
-#### Migration Caveats
+#### Migrating Images
 
 The migration script will migrate your invokeai settings and models,
 including textual inversion models, LoRAs and merges that you may have
 installed previously. However it does **not** migrate the generated
-images stored in your 2.3-format outputs directory. You will need to
-manually import selected images into the 3.0 gallery via drag-and-drop.
+images stored in your 2.3-format outputs directory. To do this, you 
+need to run an additional step:
+
+1. From a working InvokeAI 3.0 root directory, start the launcher and
+enter menu option [8] to open the "developer's console".
+
+2. At the developer's console command line, type the command:
+
+```bash
+invokeai-import-images
+```
+
+3. This will lead you through the process of confirming the desired
+   source and destination for the imported images. The images will
+   appear in the gallery board of your choice, and contain the
+   original prompt, model name, and other parameters used to generate
+   the image.
+   
+(Many kudos to **techjedi** for contributing this script.)
 
 ## Hardware Requirements
 
diff --git a/docs/installation/010_INSTALL_AUTOMATED.md b/docs/installation/010_INSTALL_AUTOMATED.md
index 9b66fcbd83..07a88d5d1b 100644
--- a/docs/installation/010_INSTALL_AUTOMATED.md
+++ b/docs/installation/010_INSTALL_AUTOMATED.md
@@ -264,7 +264,7 @@ experimental versions later.
 	  you can create several levels of subfolders and drop your models into
       whichever ones you want.
 	
-    - ***Autoimport FolderLICENSE***     
+    - ***LICENSE***     
 
     At the bottom of the screen you will see a checkbox for accepting
     the CreativeML Responsible AI Licenses. You need to accept the license

From 12e51c84ae290fe4fec2a3343e448c06841a8faf Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Sat, 5 Aug 2023 12:44:58 -0400
Subject: [PATCH 081/287] blackified

---
 invokeai/frontend/install/import_images.py | 213 +++++++++++++--------
 1 file changed, 131 insertions(+), 82 deletions(-)

diff --git a/invokeai/frontend/install/import_images.py b/invokeai/frontend/install/import_images.py
index 1870fafbf8..fe0f20c830 100644
--- a/invokeai/frontend/install/import_images.py
+++ b/invokeai/frontend/install/import_images.py
@@ -26,22 +26,28 @@ from prompt_toolkit.completion import PathCompleter
 from prompt_toolkit.key_binding import KeyBindings
 
 from invokeai.app.services.config import InvokeAIAppConfig
+
 app_config = InvokeAIAppConfig.get_config()
 
 bindings = KeyBindings()
-@bindings.add('c-c')
+
+
+@bindings.add("c-c")
 def _(event):
     raise KeyboardInterrupt
 
+
 # release notes
 # "Use All" with size dimensions not selectable in the UI will not load dimensions
 
+
 class Config:
     """Configuration loader."""
+
     def __init__(self):
         pass
 
-    TIMESTAMP_STRING= datetime.datetime.utcnow().strftime("%Y%m%dT%H%M%SZ")
+    TIMESTAMP_STRING = datetime.datetime.utcnow().strftime("%Y%m%dT%H%M%SZ")
 
     INVOKE_DIRNAME = "invokeai"
     YAML_FILENAME = "invokeai.yaml"
@@ -56,21 +62,21 @@ class Config:
         """find the yaml config file and load"""
         root = app_config.root_path
         if not self.confirm_and_load(os.path.abspath(root)):
-            print ("\r\nSpecify custom database and outputs paths:")
+            print("\r\nSpecify custom database and outputs paths:")
             self.confirm_and_load_from_user()
 
-        self.database_backup_dir = os.path.join(os.path.dirname(self.database_path),"backup")
-        self.thumbnail_path = os.path.join(self.outputs_path,"thumbnails")
+        self.database_backup_dir = os.path.join(os.path.dirname(self.database_path), "backup")
+        self.thumbnail_path = os.path.join(self.outputs_path, "thumbnails")
 
     def confirm_and_load(self, invoke_root):
         """Validates a yaml path exists, confirms the user wants to use it and loads config."""
-        yaml_path = os.path.join(invoke_root,self.YAML_FILENAME)
+        yaml_path = os.path.join(invoke_root, self.YAML_FILENAME)
         if os.path.exists(yaml_path):
             db_dir, outdir = self.load_paths_from_yaml(yaml_path)
             if os.path.isabs(db_dir):
-                database_path = os.path.join(db_dir,self.DATABASE_FILENAME)
+                database_path = os.path.join(db_dir, self.DATABASE_FILENAME)
             else:
-                database_path = os.path.join(invoke_root,db_dir,self.DATABASE_FILENAME)
+                database_path = os.path.join(invoke_root, db_dir, self.DATABASE_FILENAME)
 
             if os.path.isabs(outdir):
                 outputs_path = os.path.join(outdir, "images")
@@ -86,7 +92,7 @@ class Config:
             text += "\n\nUse these paths for import (yes) or choose different ones (no) [Yn]: "
 
             if db_exists and outdir_exists:
-                if (prompt(text).strip() or 'Y').upper().startswith('Y'):
+                if (prompt(text).strip() or "Y").upper().startswith("Y"):
                     self.database_path = database_path
                     self.outputs_path = outputs_path
                     return True
@@ -98,36 +104,40 @@ class Config:
         else:
             message_dialog(
                 title="Path not found",
-                text=f"Auto-discovery of configuration failed! Could not find ({yaml_path}), Custom paths can be specified."
+                text=f"Auto-discovery of configuration failed! Could not find ({yaml_path}), Custom paths can be specified.",
             ).run()
             return False
 
     def confirm_and_load_from_user(self):
-        default = ''
+        default = ""
         while True:
             database_path = os.path.expanduser(
                 prompt(
                     "Database: Specify absolute path to the database to import into: ",
-                    completer=PathCompleter(expanduser=True, file_filter=lambda x: Path(x).is_dir() or x.endswith(('.db'))),
-                    default = default,
-                ))
+                    completer=PathCompleter(
+                        expanduser=True, file_filter=lambda x: Path(x).is_dir() or x.endswith((".db"))
+                    ),
+                    default=default,
+                )
+            )
             if database_path.endswith(".db") and os.path.isabs(database_path) and os.path.exists(database_path):
                 break
-            default = database_path + '/' if Path(database_path).is_dir() else database_path
+            default = database_path + "/" if Path(database_path).is_dir() else database_path
 
-        default = ''
+        default = ""
         while True:
             outputs_path = os.path.expanduser(
                 prompt(
                     "Outputs: Specify absolute path to outputs/images directory to import into: ",
-                    completer = PathCompleter(expanduser=True, only_directories=True),
-                    default = default,
-                ))
+                    completer=PathCompleter(expanduser=True, only_directories=True),
+                    default=default,
+                )
+            )
 
             if outputs_path.endswith("images") and os.path.isabs(outputs_path) and os.path.exists(outputs_path):
                 break
-            default = outputs_path + '/' if Path(outputs_path).is_dir() else outputs_path
-            
+            default = outputs_path + "/" if Path(outputs_path).is_dir() else outputs_path
+
         self.database_path = database_path
         self.outputs_path = outputs_path
 
@@ -136,17 +146,19 @@ class Config:
     def load_paths_from_yaml(self, yaml_path):
         """Load an Invoke AI yaml file and get the database and outputs paths."""
         try:
-            with open(yaml_path, 'rt', encoding=locale.getpreferredencoding()) as file:
+            with open(yaml_path, "rt", encoding=locale.getpreferredencoding()) as file:
                 yamlinfo = yaml.safe_load(file)
-                db_dir = yamlinfo.get("InvokeAI",{}).get("Paths",{}).get("db_dir", None)
-                outdir = yamlinfo.get("InvokeAI",{}).get("Paths",{}).get("outdir", None)
+                db_dir = yamlinfo.get("InvokeAI", {}).get("Paths", {}).get("db_dir", None)
+                outdir = yamlinfo.get("InvokeAI", {}).get("Paths", {}).get("outdir", None)
                 return db_dir, outdir
         except Exception:
             print(f"Failed to load paths from yaml file! {yaml_path}!")
             return None, None
 
+
 class ImportStats:
     """DTO for tracking work progress."""
+
     def __init__(self):
         pass
 
@@ -171,8 +183,10 @@ class ImportStats:
         out_str += f"{seconds:.2f} second(s)"
         return out_str
 
+
 class InvokeAIMetadata:
     """DTO for core Invoke AI generation properties parsed from metadata."""
+
     def __init__(self):
         pass
 
@@ -234,6 +248,7 @@ class InvokeAIMetadata:
 
 class InvokeAIMetadataParser:
     """Parses strings with json data  to find Invoke AI core metadata properties."""
+
     def __init__(self):
         pass
 
@@ -271,15 +286,15 @@ class InvokeAIMetadataParser:
             props.width = img_node.get("width")
             props.height = img_node.get("height")
             props.seed = img_node.get("seed")
-            props.rand_device = "cuda" #hardcoded since all generations pre 3.0 used cuda random noise instead of cpu
+            props.rand_device = "cuda"  # hardcoded since all generations pre 3.0 used cuda random noise instead of cpu
             props.cfg_scale = img_node.get("cfg_scale")
             props.steps = img_node.get("steps")
             props.scheduler = self.map_scheduler(img_node.get("sampler"))
             props.strength = img_node.get("strength")
             if props.strength is None:
-                props.strength = img_node.get("strength_steps") # try second name for this property
+                props.strength = img_node.get("strength_steps")  # try second name for this property
             props.init_image = img_node.get("init_image_path")
-            if props.init_image is None: # try second name for this property
+            if props.init_image is None:  # try second name for this property
                 props.init_image = img_node.get("init_img")
             # remove the path info from init_image so if we move the init image, it will be correctly relative in the new location
             if props.init_image is not None:
@@ -299,7 +314,7 @@ class InvokeAIMetadataParser:
         props.imported_app_version = "3.0.0 or later"
         props.generation_mode = tag_value.get("type")
         if props.generation_mode is not None:
-            props.generation_mode = props.generation_mode.replace("t2l","txt2img").replace("l2l","img2img")
+            props.generation_mode = props.generation_mode.replace("t2l", "txt2img").replace("l2l", "img2img")
 
         props.width = tag_value.get("width")
         props.height = tag_value.get("height")
@@ -318,30 +333,41 @@ class InvokeAIMetadataParser:
         if old_scheduler is None:
             return None
 
-        match(old_scheduler):
-            case "ddim" : return "ddim"
-            case "plms" : return "pnmd"
-            case "k_lms" : return "lms"
-            case "k_dpm_2" : return "kdpm_2"
-            case "k_dpm_2_a" : return "kdpm_2_a"
-            case "dpmpp_2" : return "dpmpp_2s"
-            case "k_dpmpp_2" : return "dpmpp_2m"
-            case "k_dpmpp_2_a" : return None #invalid, in 2.3.x, selecting this sample would just fallback to last run or plms if new session
-            case "k_euler" : return "euler"
-            case "k_euler_a" : return "euler_a"
-            case "k_heun" : return "heun"
+        match (old_scheduler):
+            case "ddim":
+                return "ddim"
+            case "plms":
+                return "pnmd"
+            case "k_lms":
+                return "lms"
+            case "k_dpm_2":
+                return "kdpm_2"
+            case "k_dpm_2_a":
+                return "kdpm_2_a"
+            case "dpmpp_2":
+                return "dpmpp_2s"
+            case "k_dpmpp_2":
+                return "dpmpp_2m"
+            case "k_dpmpp_2_a":
+                return None  # invalid, in 2.3.x, selecting this sample would just fallback to last run or plms if new session
+            case "k_euler":
+                return "euler"
+            case "k_euler_a":
+                return "euler_a"
+            case "k_heun":
+                return "heun"
         return None
 
     def split_prompt(self, raw_prompt: str):
         """Split the unified prompt strings by extracting all negative prompt blocks out into the negative prompt."""
         if raw_prompt is None:
             return "", ""
-        raw_prompt_search = raw_prompt.replace("\r","").replace("\n","")
+        raw_prompt_search = raw_prompt.replace("\r", "").replace("\n", "")
         matches = re.findall(r"\[(.+?)\]", raw_prompt_search)
         if len(matches) > 0:
             negative_prompt = ""
             if len(matches) == 1:
-                negative_prompt = matches[0].strip().strip(',')
+                negative_prompt = matches[0].strip().strip(",")
             else:
                 for match in matches:
                     negative_prompt += f"({match.strip().strip(',')})"
@@ -350,10 +376,12 @@ class InvokeAIMetadataParser:
             positive_prompt = raw_prompt_search.strip()
             negative_prompt = ""
 
-        return positive_prompt,negative_prompt
+        return positive_prompt, negative_prompt
+
 
 class DatabaseMapper:
     """Class to abstract database functionality."""
+
     def __init__(self, database_path, database_backup_dir):
         self.database_path = database_path
         self.database_backup_dir = database_backup_dir
@@ -380,7 +408,7 @@ class DatabaseMapper:
         return True if len(rows) > 0 else False
 
     def add_new_image_to_database(self, filename, width, height, metadata, modified_date_string):
-        """Add an image to the database."""        
+        """Add an image to the database."""
         sql_add_image = f"""INSERT INTO images (image_name, image_origin, image_category, width, height, session_id, node_id, metadata, is_intermediate, created_at, updated_at)
 VALUES ('{filename}', 'internal', 'general', {width}, {height}, null, null, '{metadata}', 0, '{modified_date_string}', '{modified_date_string}')"""
         self.cursor.execute(sql_add_image)
@@ -391,7 +419,7 @@ VALUES ('{filename}', 'internal', 'general', {width}, {height}, null, null, '{me
         sql_find_board = f"SELECT board_id FROM boards WHERE board_name='{board_name}' COLLATE NOCASE"
         self.cursor.execute(sql_find_board)
         rows = self.cursor.fetchall()
-        if len(rows)>0:
+        if len(rows) > 0:
             return rows[0][0]
         else:
             board_date_string = datetime.datetime.utcnow().date().isoformat()
@@ -417,18 +445,20 @@ VALUES ('{filename}', 'internal', 'general', {width}, {height}, null, null, '{me
             self.connection.close()
 
     def backup(self, timestamp_string):
-        """Take a backup of the database."""        
+        """Take a backup of the database."""
         if not os.path.exists(self.database_backup_dir):
-            print (f"Database backup directory {self.database_backup_dir} does not exist -> creating...", end="")
+            print(f"Database backup directory {self.database_backup_dir} does not exist -> creating...", end="")
             os.makedirs(self.database_backup_dir)
-            print ("Done!")
+            print("Done!")
         database_backup_path = os.path.join(self.database_backup_dir, f"backup-{timestamp_string}-invokeai.db")
-        print (f"Making DB Backup at {database_backup_path}...", end="")
+        print(f"Making DB Backup at {database_backup_path}...", end="")
         shutil.copy2(self.database_path, database_backup_path)
-        print ("Done!")
+        print("Done!")
+
 
 class MediaImportProcessor:
     """Containing class for script functionality."""
+
     def __init__(self):
         pass
 
@@ -437,25 +467,28 @@ class MediaImportProcessor:
     def get_import_file_list(self):
         """Ask the user for the import folder and scan for the list of files to return."""
         while True:
-            default = ''
+            default = ""
             while True:
                 import_dir = os.path.expanduser(
                     prompt(
                         "Inputs: Specify absolute path containing InvokeAI .png images to import: ",
-                        completer = PathCompleter(expanduser=True, only_directories=True),
-                        default = default,
-                    ))
-                if len(import_dir)>0 and Path(import_dir).is_dir():
+                        completer=PathCompleter(expanduser=True, only_directories=True),
+                        default=default,
+                    )
+                )
+                if len(import_dir) > 0 and Path(import_dir).is_dir():
                     break
                 default = import_dir
 
-            recurse_directories = (prompt("Include files from subfolders recursively [yN]? ").strip() or 'N').upper().startswith('N')
+            recurse_directories = (
+                (prompt("Include files from subfolders recursively [yN]? ").strip() or "N").upper().startswith("N")
+            )
             if recurse_directories:
                 is_recurse = False
-                matching_file_list = glob.glob(import_dir + '/*.png', recursive=False)
+                matching_file_list = glob.glob(import_dir + "/*.png", recursive=False)
             else:
                 is_recurse = True
-                matching_file_list = glob.glob(import_dir + '/**/*.png', recursive=True)
+                matching_file_list = glob.glob(import_dir + "/**/*.png", recursive=True)
 
             if len(matching_file_list) > 0:
                 return import_dir, is_recurse, matching_file_list
@@ -475,17 +508,23 @@ class MediaImportProcessor:
         while True:
             print("\r\nOptions for board selection for imported images:")
             print(f"1) Select an existing board name. (found {len(board_names)})")
-            print( "2) Specify a board name to create/add to.")
-            print( "3) Create/add to board named 'IMPORT'.")
-            print(f"4) Create/add to board named 'IMPORT' with the current datetime string appended (.e.g IMPORT_{timestamp_string}).")
-            print( "5) Create/add to board named 'IMPORT' with a the original file app_version appended (.e.g IMPORT_2.2.5).")
+            print("2) Specify a board name to create/add to.")
+            print("3) Create/add to board named 'IMPORT'.")
+            print(
+                f"4) Create/add to board named 'IMPORT' with the current datetime string appended (.e.g IMPORT_{timestamp_string})."
+            )
+            print(
+                "5) Create/add to board named 'IMPORT' with a the original file app_version appended (.e.g IMPORT_2.2.5)."
+            )
             input_option = input("Specify desired board option: ")
-            match(input_option):
-                case "1" :
+            match (input_option):
+                case "1":
                     if len(board_names) < 1:
                         print("\r\nThere are no existing board names to choose from. Select another option!")
                         continue
-                    board_name = self.select_item_from_list(board_names, "board name", True, "Cancel, go back and choose a different board option.")
+                    board_name = self.select_item_from_list(
+                        board_names, "board name", True, "Cancel, go back and choose a different board option."
+                    )
                     if board_name is not None:
                         return board_name
                 case "2":
@@ -493,7 +532,7 @@ class MediaImportProcessor:
                         board_name = input("Specify new/existing board name: ")
                         if board_name:
                             return board_name
-                case "3" :
+                case "3":
                     return "IMPORT"
                 case "4":
                     return f"IMPORT_{timestamp_string}"
@@ -502,7 +541,7 @@ class MediaImportProcessor:
 
     def select_item_from_list(self, items, entity_name, allow_cancel, cancel_string):
         """A general function to render a list of items to select in the console, prompt the user for a selection and ensure a valid entry is selected."""
-        print (f"Select a {entity_name.lower()} from the following list:")
+        print(f"Select a {entity_name.lower()} from the following list:")
         index = 1
         for item in items:
             print(f"{index}) {item}")
@@ -516,8 +555,8 @@ class MediaImportProcessor:
                 continue
             if allow_cancel and option_number == index:
                 return None
-            if option_number >=1 and option_number <= len(items):
-                return items[option_number-1]
+            if option_number >= 1 and option_number <= len(items):
+                return items[option_number - 1]
 
     def import_image(self, filepath: str, board_name_option: str, db_mapper: DatabaseMapper, config: Config):
         """Import a single file by its path"""
@@ -577,12 +616,14 @@ class MediaImportProcessor:
 
             latest_json_string = converted_field.to_json()
 
-        print (f"From Invoke AI Version {log_version_note} with dimensions {png_width} x {png_height}.")
+        print(f"From Invoke AI Version {log_version_note} with dimensions {png_width} x {png_height}.")
 
         # if metadata needs update, then update metdata and copy in one shot
         if destination_needs_meta_update:
             print("Updating metadata while copying...", end="")
-            self.update_file_metadata_while_copying(filepath, file_destination_path, "invokeai_metadata", latest_json_string)
+            self.update_file_metadata_while_copying(
+                filepath, file_destination_path, "invokeai_metadata", latest_json_string
+            )
             print("Done!")
         else:
             print("No metadata update necessary, copying only...", end="")
@@ -591,7 +632,7 @@ class MediaImportProcessor:
 
         # create thumbnail
         print("Creating thumbnail...", end="")
-        thumbnail_path = os.path.join(config.thumbnail_path, os.path.splitext(file_name)[0]) +  ".webp"
+        thumbnail_path = os.path.join(config.thumbnail_path, os.path.splitext(file_name)[0]) + ".webp"
         thumbnail_size = 256, 256
         with PIL.Image.open(filepath) as source_image:
             source_image.thumbnail(thumbnail_size)
@@ -619,7 +660,7 @@ class MediaImportProcessor:
         db_mapper.add_new_image_to_database(file_name, png_width, png_height, latest_json_string, modified_time)
         print("Done!")
 
-        #add image to board
+        # add image to board
         print("Adding image to board......", end="")
         db_mapper.add_image_to_board(file_name, board_id)
         print("Done!")
@@ -638,7 +679,7 @@ class MediaImportProcessor:
             # re-add any existing invoke ai tags unless they are the one we are trying to add
             for key in existing_img_info:
                 if key != tag_name and key in ("dream", "Dream", "sd-metadata", "invokeai", "invokeai_metadata"):
-                    metadata.add_text(key,existing_img_info[key])
+                    metadata.add_text(key, existing_img_info[key])
             metadata.add_text(tag_name, tag_value)
             target_image.save(file_destination_path, pnginfo=metadata)
 
@@ -648,7 +689,7 @@ class MediaImportProcessor:
         print("===============================================================================")
         print("This script will import images generated by earlier versions of")
         print("InvokeAI into the currently installed root directory:")
-        print(f'   {app_config.root_path}')
+        print(f"   {app_config.root_path}")
         print("If this is not what you want to do, type ctrl-C now to cancel.")
 
         # load config
@@ -683,16 +724,22 @@ class MediaImportProcessor:
         print("- If the same file name already exists in the destination, the file will be skipped.")
         print("- If the same file name already has a record in the database, the file will be skipped.")
         print("- Invoke AI metadata tags will be updated/written into the imported copy only.")
-        print("- On the imported copy, only Invoke AI known tags (latest and legacy) will be retained (dream, sd-metadata, invokeai, invokeai_metadata)")
-        print("- A property 'imported_app_version' will be added to metadata that can be viewed in the UI's metadata viewer.")
-        print("- The new 3.x InvokeAI outputs folder structure is flat so recursively found source imges will all be placed into the single outputs/images folder.")
+        print(
+            "- On the imported copy, only Invoke AI known tags (latest and legacy) will be retained (dream, sd-metadata, invokeai, invokeai_metadata)"
+        )
+        print(
+            "- A property 'imported_app_version' will be added to metadata that can be viewed in the UI's metadata viewer."
+        )
+        print(
+            "- The new 3.x InvokeAI outputs folder structure is flat so recursively found source imges will all be placed into the single outputs/images folder."
+        )
 
         while True:
-            should_continue = prompt("\nDo you wish to continue with the import [Yn] ? ").lower() or 'y'
-            if should_continue=='n':
+            should_continue = prompt("\nDo you wish to continue with the import [Yn] ? ").lower() or "y"
+            if should_continue == "n":
                 print("\r\nCancelling Import")
                 return
-            elif should_continue=='y':
+            elif should_continue == "y":
                 print()
                 break
 
@@ -725,9 +772,10 @@ class MediaImportProcessor:
         print(f"Errors during import                    : {ImportStats.count_file_errors}")
         if ImportStats.count_imported > 0:
             print("\r\nBreakdown of imported files by version:")
-            for key,version in ImportStats.count_imported_by_version.items():
+            for key, version in ImportStats.count_imported_by_version.items():
                 print(f"  {key:20} : {version}")
 
+
 def main():
     try:
         processor = MediaImportProcessor()
@@ -735,5 +783,6 @@ def main():
     except KeyboardInterrupt:
         print("\r\n\r\nUser cancelled execution.")
 
+
 if __name__ == "__main__":
     main()

From 44bf308192629a6e91a26d38e6814a2a2f6b068e Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Sat, 5 Aug 2023 15:22:23 -0700
Subject: [PATCH 082/287] test(model_management): add a couple tests for
 _get_model_path

---
 .../backend/model_management/model_manager.py |  2 +-
 pyproject.toml                                |  2 +-
 tests/test_model_manager.py                   | 36 +++++++++++++++++++
 .../configs/relative_sub.models.yaml          | 15 ++++++++
 .../sdxl/main/SDXL base 1_0/model_index.json  |  0
 .../sdxl/vae/sdxl-vae-fp16-fix/config.json    |  0
 6 files changed, 53 insertions(+), 2 deletions(-)
 create mode 100644 tests/test_model_manager.py
 create mode 100644 tests/test_model_manager/configs/relative_sub.models.yaml
 create mode 100644 tests/test_model_manager/models/sdxl/main/SDXL base 1_0/model_index.json
 create mode 100644 tests/test_model_manager/models/sdxl/vae/sdxl-vae-fp16-fix/config.json

diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index 3e8888be24..ebe7ffbbd0 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -533,7 +533,7 @@ class ModelManager(object):
         model_path = self.resolve_model_path(model_path)
         return model_path, is_submodel_override
 
-    def _get_model_config(self, base_model, model_name, model_type) -> ModelConfigBase:
+    def _get_model_config(self, base_model: BaseModelType, model_name: str, model_type: ModelType) -> ModelConfigBase:
         """Get a model's config object."""
         model_key = self.create_key(model_name, base_model, model_type)
         try:
diff --git a/pyproject.toml b/pyproject.toml
index b3f12481a8..2ae297a6da 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -100,7 +100,7 @@ dependencies = [
 "dev" = [
   "pudb",
 ]
-"test" = ["pytest>6.0.0", "pytest-cov", "black"]
+"test" = ["pytest>6.0.0", "pytest-cov", "pytest-datadir", "black"]
 "xformers" = [
 	   "xformers~=0.0.19; sys_platform!='darwin'",
 	   "triton; sys_platform=='linux'",
diff --git a/tests/test_model_manager.py b/tests/test_model_manager.py
new file mode 100644
index 0000000000..af0394eac2
--- /dev/null
+++ b/tests/test_model_manager.py
@@ -0,0 +1,36 @@
+from pathlib import Path
+
+import pytest
+
+from invokeai.app.services.config import InvokeAIAppConfig
+from invokeai.backend import ModelManager, BaseModelType, ModelType, SubModelType
+
+
+@pytest.fixture
+def model_manager(datadir) -> ModelManager:
+    InvokeAIAppConfig.get_config(root=datadir)
+    return ModelManager(datadir / "configs" / "relative_sub.models.yaml")
+
+
+def test_get_model_names(model_manager: ModelManager):
+    names = model_manager.model_names()
+    assert names[:2] == [
+        ("SDXL base", BaseModelType.StableDiffusionXL, ModelType.Main),
+        ("SDXL with VAE", BaseModelType.StableDiffusionXL, ModelType.Main),
+    ]
+
+
+def test_get_model_path_for_diffusers(model_manager: ModelManager, datadir: Path):
+    model_config = model_manager._get_model_config(BaseModelType.StableDiffusionXL, "SDXL base", ModelType.Main)
+    top_model_path, is_override = model_manager._get_model_path(model_config)
+    expected_model_path = datadir / "models" / "sdxl" / "main" / "SDXL base 1_0"
+    assert top_model_path == expected_model_path
+    assert not is_override
+
+
+def test_get_model_path_for_overridden_vae(model_manager: ModelManager, datadir: Path):
+    model_config = model_manager._get_model_config(BaseModelType.StableDiffusionXL, "SDXL with VAE", ModelType.Main)
+    vae_model_path, is_override = model_manager._get_model_path(model_config, SubModelType.Vae)
+    expected_vae_path = datadir / "models" / "sdxl" / "vae" / "sdxl-vae-fp16-fix"
+    assert vae_model_path == expected_vae_path
+    assert is_override
diff --git a/tests/test_model_manager/configs/relative_sub.models.yaml b/tests/test_model_manager/configs/relative_sub.models.yaml
new file mode 100644
index 0000000000..757c50e3b5
--- /dev/null
+++ b/tests/test_model_manager/configs/relative_sub.models.yaml
@@ -0,0 +1,15 @@
+__metadata__:
+  version: 3.0.0
+
+sdxl/main/SDXL base:
+  path: sdxl/main/SDXL base 1_0
+  description: SDXL base v1.0
+  variant: normal
+  format: diffusers
+
+sdxl/main/SDXL with VAE:
+  path: sdxl/main/SDXL base 1_0
+  description: SDXL base v1.0
+  vae: sdxl/vae/sdxl-vae-fp16-fix/
+  variant: normal
+  format: diffusers
diff --git a/tests/test_model_manager/models/sdxl/main/SDXL base 1_0/model_index.json b/tests/test_model_manager/models/sdxl/main/SDXL base 1_0/model_index.json
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/tests/test_model_manager/models/sdxl/vae/sdxl-vae-fp16-fix/config.json b/tests/test_model_manager/models/sdxl/vae/sdxl-vae-fp16-fix/config.json
new file mode 100644
index 0000000000..e69de29bb2

From 7f4c3870808541746e4f4bc51fdc601b8e19056f Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Sat, 5 Aug 2023 15:46:46 -0700
Subject: [PATCH 083/287] test(model_management): factor out name strings

---
 tests/test_model_manager.py                        | 14 ++++++++------
 .../configs/relative_sub.models.yaml               |  2 +-
 2 files changed, 9 insertions(+), 7 deletions(-)

diff --git a/tests/test_model_manager.py b/tests/test_model_manager.py
index af0394eac2..4314bad595 100644
--- a/tests/test_model_manager.py
+++ b/tests/test_model_manager.py
@@ -5,6 +5,9 @@ import pytest
 from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.backend import ModelManager, BaseModelType, ModelType, SubModelType
 
+BASIC_MODEL_NAME = ("SDXL base", BaseModelType.StableDiffusionXL, ModelType.Main)
+VAE_OVERRIDE_MODEL_NAME = ("SDXL with VAE", BaseModelType.StableDiffusionXL, ModelType.Main)
+
 
 @pytest.fixture
 def model_manager(datadir) -> ModelManager:
@@ -14,14 +17,11 @@ def model_manager(datadir) -> ModelManager:
 
 def test_get_model_names(model_manager: ModelManager):
     names = model_manager.model_names()
-    assert names[:2] == [
-        ("SDXL base", BaseModelType.StableDiffusionXL, ModelType.Main),
-        ("SDXL with VAE", BaseModelType.StableDiffusionXL, ModelType.Main),
-    ]
+    assert names[:2] == [BASIC_MODEL_NAME, VAE_OVERRIDE_MODEL_NAME]
 
 
 def test_get_model_path_for_diffusers(model_manager: ModelManager, datadir: Path):
-    model_config = model_manager._get_model_config(BaseModelType.StableDiffusionXL, "SDXL base", ModelType.Main)
+    model_config = model_manager._get_model_config(BASIC_MODEL_NAME[1], BASIC_MODEL_NAME[0], BASIC_MODEL_NAME[2])
     top_model_path, is_override = model_manager._get_model_path(model_config)
     expected_model_path = datadir / "models" / "sdxl" / "main" / "SDXL base 1_0"
     assert top_model_path == expected_model_path
@@ -29,7 +29,9 @@ def test_get_model_path_for_diffusers(model_manager: ModelManager, datadir: Path
 
 
 def test_get_model_path_for_overridden_vae(model_manager: ModelManager, datadir: Path):
-    model_config = model_manager._get_model_config(BaseModelType.StableDiffusionXL, "SDXL with VAE", ModelType.Main)
+    model_config = model_manager._get_model_config(
+        VAE_OVERRIDE_MODEL_NAME[1], VAE_OVERRIDE_MODEL_NAME[0], VAE_OVERRIDE_MODEL_NAME[2]
+    )
     vae_model_path, is_override = model_manager._get_model_path(model_config, SubModelType.Vae)
     expected_vae_path = datadir / "models" / "sdxl" / "vae" / "sdxl-vae-fp16-fix"
     assert vae_model_path == expected_vae_path
diff --git a/tests/test_model_manager/configs/relative_sub.models.yaml b/tests/test_model_manager/configs/relative_sub.models.yaml
index 757c50e3b5..3ec7a3adff 100644
--- a/tests/test_model_manager/configs/relative_sub.models.yaml
+++ b/tests/test_model_manager/configs/relative_sub.models.yaml
@@ -9,7 +9,7 @@ sdxl/main/SDXL base:
 
 sdxl/main/SDXL with VAE:
   path: sdxl/main/SDXL base 1_0
-  description: SDXL base v1.0
+  description: SDXL with customized VAE
   vae: sdxl/vae/sdxl-vae-fp16-fix/
   variant: normal
   format: diffusers

From d93900a8de3927281f450d0efdcee9b310a97be3 Mon Sep 17 00:00:00 2001
From: Kent Keirsey <31807370+hipsterusername@users.noreply.github.com>
Date: Wed, 24 May 2023 21:02:40 -0400
Subject: [PATCH 084/287] Added HSL Nodes

---
 invokeai/app/invocations/image.py | 148 ++++++++++++++++++++++++++++++
 1 file changed, 148 insertions(+)

diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index 3f40ea3cbe..59375a13f4 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -3,6 +3,7 @@
 from typing import Literal, Optional
 
 import numpy
+import cv2
 from PIL import Image, ImageFilter, ImageOps, ImageChops
 from pydantic import Field
 from pathlib import Path
@@ -650,3 +651,150 @@ class ImageWatermarkInvocation(BaseInvocation, PILInvocationConfig):
             width=image_dto.width,
             height=image_dto.height,
         )
+
+class HueAdjustmentInvocation(BaseInvocation):
+    """Adjusts the Hue of an image."""
+
+    # fmt: off
+    type: Literal["hue_adjust"] = "hue_adjust"
+
+    # Inputs
+    image: ImageField = Field(default=None, description="The image to adjust")
+    hue: float = Field(default=0, description="The degrees by which to rotate the hue")
+    # fmt: on
+
+    def invoke(self, context: InvocationContext) -> ImageOutput:
+        pil_image = context.services.images.get_pil_image(
+            self.image.image_type, self.image.image_name
+        )
+
+        # Convert PIL image to OpenCV format (numpy array), note color channel
+        # ordering is changed from RGB to BGR
+        image = numpy.array(pil_image.convert('RGB'))[:, :, ::-1]
+
+        # Convert image to HSV color space
+        hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
+
+        # Adjust the hue
+        hsv_image[:, :, 0] = (hsv_image[:, :, 0] + self.hue) % 180
+
+        # Convert image back to BGR color space
+        image = cv2.cvtColor(hsv_image, cv2.COLOR_HSV2BGR)
+
+        # Convert back to PIL format and to original color mode
+        pil_image = Image.fromarray(image[:, :, ::-1], 'RGB').convert('RGBA')
+
+        image_dto = context.services.images.create(
+            image=pil_image,
+            image_type=ImageType.RESULT,
+            image_category=ImageCategory.GENERAL,
+            node_id=self.id,
+            session_id=context.graph_execution_state_id,
+        )
+
+        return ImageOutput(
+            image=ImageField(
+                image_name=image_dto.image_name,
+                image_type=image_dto.image_type,
+            ),
+            width=image_dto.width,
+            height=image_dto.height,
+        )
+
+class LuminosityAdjustmentInvocation(BaseInvocation):
+    """Adjusts the Luminosity (Value) of an image."""
+
+    # fmt: off
+    type: Literal["luminosity_adjust"] = "luminosity_adjust"
+
+    # Inputs
+    image: ImageField = Field(default=None, description="The image to adjust")
+    luminosity: float = Field(default=1.0, description="The factor by which to adjust the luminosity (value)")
+    # fmt: on
+
+    def invoke(self, context: InvocationContext) -> ImageOutput:
+        pil_image = context.services.images.get_pil_image(
+            self.image.image_type, self.image.image_name
+        )
+
+        # Convert PIL image to OpenCV format (numpy array), note color channel
+        # ordering is changed from RGB to BGR
+        image = numpy.array(pil_image.convert('RGB'))[:, :, ::-1]
+
+        # Convert image to HSV color space
+        hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
+
+        # Adjust the luminosity (value)
+        hsv_image[:, :, 2] = numpy.clip(hsv_image[:, :, 2] * self.luminosity, 0, 255)
+
+        # Convert image back to BGR color space
+        image = cv2.cvtColor(hsv_image, cv2.COLOR_HSV2BGR)
+
+        # Convert back to PIL format and to original color mode
+        pil_image = Image.fromarray(image[:, :, ::-1], 'RGB').convert('RGBA')
+
+        image_dto = context.services.images.create(
+            image=pil_image,
+            image_type=ImageType.RESULT,
+            image_category=ImageCategory.GENERAL,
+            node_id=self.id,
+            session_id=context.graph_execution_state_id,
+        )
+
+        return ImageOutput(
+            image=ImageField(
+                image_name=image_dto.image_name,
+                image_type=image_dto.image_type,
+            ),
+            width=image_dto.width,
+            height=image_dto.height,
+        )
+
+class SaturationAdjustmentInvocation(BaseInvocation):
+    """Adjusts the Saturation of an image."""
+
+    # fmt: off
+    type: Literal["saturation_adjust"] = "saturation_adjust"
+
+    # Inputs
+    image: ImageField = Field(default=None, description="The image to adjust")
+    saturation: float = Field(default=1.0, description="The factor by which to adjust the saturation")
+    # fmt: on
+
+    def invoke(self, context: InvocationContext) -> ImageOutput:
+        pil_image = context.services.images.get_pil_image(
+            self.image.image_type, self.image.image_name
+        )
+
+        # Convert PIL image to OpenCV format (numpy array), note color channel
+        # ordering is changed from RGB to BGR
+        image = numpy.array(pil_image.convert('RGB'))[:, :, ::-1]
+
+        # Convert image to HSV color space
+        hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
+
+        # Adjust the saturation
+        hsv_image[:, :, 1] = numpy.clip(hsv_image[:, :, 1] * self.saturation, 0, 255)
+
+        # Convert image back to BGR color space
+        image = cv2.cvtColor(hsv_image, cv2.COLOR_HSV2BGR)
+
+        # Convert back to PIL format and to original color mode
+        pil_image = Image.fromarray(image[:, :, ::-1], 'RGB').convert('RGBA')
+
+        image_dto = context.services.images.create(
+            image=pil_image,
+            image_type=ImageType.RESULT,
+            image_category=ImageCategory.GENERAL,
+            node_id=self.id,
+            session_id=context.graph_execution_state_id,
+        )
+
+        return ImageOutput(
+            image=ImageField(
+                image_name=image_dto.image_name,
+                image_type=image_dto.image_type,
+            ),
+            width=image_dto.width,
+            height=image_dto.height,
+        )

From b8b589c150ba2d77f65a4fad6b0e9cd4991d266c Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Sat, 5 Aug 2023 12:34:47 +1000
Subject: [PATCH 085/287] fix(nodes): fix hsl nodes rebase conflict

---
 invokeai/app/invocations/image.py | 57 +++++++++++++++----------------
 1 file changed, 27 insertions(+), 30 deletions(-)

diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index 59375a13f4..9f60cb620a 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -652,25 +652,24 @@ class ImageWatermarkInvocation(BaseInvocation, PILInvocationConfig):
             height=image_dto.height,
         )
 
-class HueAdjustmentInvocation(BaseInvocation):
+
+class ImageHueAdjustmentInvocation(BaseInvocation):
     """Adjusts the Hue of an image."""
 
     # fmt: off
-    type: Literal["hue_adjust"] = "hue_adjust"
+    type: Literal["img_hue_adjust"] = "img_hue_adjust"
 
     # Inputs
     image: ImageField = Field(default=None, description="The image to adjust")
-    hue: float = Field(default=0, description="The degrees by which to rotate the hue")
+    hue: int = Field(default=0, description="The degrees by which to rotate the hue")
     # fmt: on
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
-        pil_image = context.services.images.get_pil_image(
-            self.image.image_type, self.image.image_name
-        )
+        pil_image = context.services.images.get_pil_image(self.image.image_name)
 
         # Convert PIL image to OpenCV format (numpy array), note color channel
         # ordering is changed from RGB to BGR
-        image = numpy.array(pil_image.convert('RGB'))[:, :, ::-1]
+        image = numpy.array(pil_image.convert("RGB"))[:, :, ::-1]
 
         # Convert image to HSV color space
         hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
@@ -682,44 +681,43 @@ class HueAdjustmentInvocation(BaseInvocation):
         image = cv2.cvtColor(hsv_image, cv2.COLOR_HSV2BGR)
 
         # Convert back to PIL format and to original color mode
-        pil_image = Image.fromarray(image[:, :, ::-1], 'RGB').convert('RGBA')
+        pil_image = Image.fromarray(image[:, :, ::-1], "RGB").convert("RGBA")
 
         image_dto = context.services.images.create(
             image=pil_image,
-            image_type=ImageType.RESULT,
+            image_origin=ResourceOrigin.INTERNAL,
             image_category=ImageCategory.GENERAL,
             node_id=self.id,
+            is_intermediate=self.is_intermediate,
             session_id=context.graph_execution_state_id,
         )
 
         return ImageOutput(
             image=ImageField(
                 image_name=image_dto.image_name,
-                image_type=image_dto.image_type,
             ),
             width=image_dto.width,
             height=image_dto.height,
         )
 
-class LuminosityAdjustmentInvocation(BaseInvocation):
+
+class ImageLuminosityAdjustmentInvocation(BaseInvocation):
     """Adjusts the Luminosity (Value) of an image."""
 
     # fmt: off
-    type: Literal["luminosity_adjust"] = "luminosity_adjust"
+    type: Literal["img_luminosity_adjust"] = "img_luminosity_adjust"
 
     # Inputs
     image: ImageField = Field(default=None, description="The image to adjust")
-    luminosity: float = Field(default=1.0, description="The factor by which to adjust the luminosity (value)")
+    luminosity: float = Field(default=1.0, ge=0, le=1, description="The factor by which to adjust the luminosity (value)")
     # fmt: on
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
-        pil_image = context.services.images.get_pil_image(
-            self.image.image_type, self.image.image_name
-        )
+        pil_image = context.services.images.get_pil_image(self.image.image_name)
 
         # Convert PIL image to OpenCV format (numpy array), note color channel
         # ordering is changed from RGB to BGR
-        image = numpy.array(pil_image.convert('RGB'))[:, :, ::-1]
+        image = numpy.array(pil_image.convert("RGB"))[:, :, ::-1]
 
         # Convert image to HSV color space
         hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
@@ -731,44 +729,43 @@ class LuminosityAdjustmentInvocation(BaseInvocation):
         image = cv2.cvtColor(hsv_image, cv2.COLOR_HSV2BGR)
 
         # Convert back to PIL format and to original color mode
-        pil_image = Image.fromarray(image[:, :, ::-1], 'RGB').convert('RGBA')
+        pil_image = Image.fromarray(image[:, :, ::-1], "RGB").convert("RGBA")
 
         image_dto = context.services.images.create(
             image=pil_image,
-            image_type=ImageType.RESULT,
+            image_origin=ResourceOrigin.INTERNAL,
             image_category=ImageCategory.GENERAL,
             node_id=self.id,
+            is_intermediate=self.is_intermediate,
             session_id=context.graph_execution_state_id,
         )
 
         return ImageOutput(
             image=ImageField(
                 image_name=image_dto.image_name,
-                image_type=image_dto.image_type,
             ),
             width=image_dto.width,
             height=image_dto.height,
         )
 
-class SaturationAdjustmentInvocation(BaseInvocation):
+
+class ImageSaturationAdjustmentInvocation(BaseInvocation):
     """Adjusts the Saturation of an image."""
 
     # fmt: off
-    type: Literal["saturation_adjust"] = "saturation_adjust"
+    type: Literal["img_saturation_adjust"] = "img_saturation_adjust"
 
     # Inputs
     image: ImageField = Field(default=None, description="The image to adjust")
-    saturation: float = Field(default=1.0, description="The factor by which to adjust the saturation")
+    saturation: float = Field(default=1.0, ge=0, le=1, description="The factor by which to adjust the saturation")
     # fmt: on
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
-        pil_image = context.services.images.get_pil_image(
-            self.image.image_type, self.image.image_name
-        )
+        pil_image = context.services.images.get_pil_image(self.image.image_name)
 
         # Convert PIL image to OpenCV format (numpy array), note color channel
         # ordering is changed from RGB to BGR
-        image = numpy.array(pil_image.convert('RGB'))[:, :, ::-1]
+        image = numpy.array(pil_image.convert("RGB"))[:, :, ::-1]
 
         # Convert image to HSV color space
         hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
@@ -780,20 +777,20 @@ class SaturationAdjustmentInvocation(BaseInvocation):
         image = cv2.cvtColor(hsv_image, cv2.COLOR_HSV2BGR)
 
         # Convert back to PIL format and to original color mode
-        pil_image = Image.fromarray(image[:, :, ::-1], 'RGB').convert('RGBA')
+        pil_image = Image.fromarray(image[:, :, ::-1], "RGB").convert("RGBA")
 
         image_dto = context.services.images.create(
             image=pil_image,
-            image_type=ImageType.RESULT,
+            image_origin=ResourceOrigin.INTERNAL,
             image_category=ImageCategory.GENERAL,
             node_id=self.id,
+            is_intermediate=self.is_intermediate,
             session_id=context.graph_execution_state_id,
         )
 
         return ImageOutput(
             image=ImageField(
                 image_name=image_dto.image_name,
-                image_type=image_dto.image_type,
             ),
             width=image_dto.width,
             height=image_dto.height,

From 9aaf67c5b41458aba815d9ce58ce796fb4d941be Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Sun, 6 Aug 2023 05:05:25 +0300
Subject: [PATCH 086/287] wip

---
 invokeai/app/invocations/compel.py            |   9 +
 invokeai/app/invocations/latent.py            |   6 +-
 .../stable_diffusion/diffusers_pipeline.py    | 209 +++-----------
 .../diffusion/shared_invokeai_diffusion.py    | 265 ++++++++++++------
 4 files changed, 232 insertions(+), 257 deletions(-)

diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index 7c3ce7a819..d0b55cd185 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -37,6 +37,10 @@ class BasicConditioningInfo:
     # weight: float
     # mode: ConditioningAlgo
 
+    def to(self, device, dtype=None):
+        self.embeds = self.embeds.to(device=device, dtype=dtype)
+        return self
+
 
 @dataclass
 class SDXLConditioningInfo(BasicConditioningInfo):
@@ -44,6 +48,11 @@ class SDXLConditioningInfo(BasicConditioningInfo):
     pooled_embeds: torch.Tensor
     add_time_ids: torch.Tensor
 
+    def to(self, device, dtype=None):
+        self.pooled_embeds = self.pooled_embeds.to(device=device, dtype=dtype)
+        self.add_time_ids = self.add_time_ids.to(device=device, dtype=dtype)
+        return super().to(device=device, dtype=dtype)
+
 
 ConditioningInfoType = Annotated[Union[BasicConditioningInfo, SDXLConditioningInfo], Field(discriminator="type")]
 
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 6e2e0838bc..a63f98de24 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -174,11 +174,11 @@ class TextToLatentsInvocation(BaseInvocation):
         unet,
     ) -> ConditioningData:
         positive_cond_data = context.services.latents.get(self.positive_conditioning.conditioning_name)
-        c = positive_cond_data.conditionings[0].embeds.to(device=unet.device, dtype=unet.dtype)
-        extra_conditioning_info = positive_cond_data.conditionings[0].extra_conditioning
+        c = positive_cond_data.conditionings[0].to(device=unet.device, dtype=unet.dtype)
+        extra_conditioning_info = c.extra_conditioning
 
         negative_cond_data = context.services.latents.get(self.negative_conditioning.conditioning_name)
-        uc = negative_cond_data.conditionings[0].embeds.to(device=unet.device, dtype=unet.dtype)
+        uc = negative_cond_data.conditionings[0].to(device=unet.device, dtype=unet.dtype)
 
         conditioning_data = ConditioningData(
             unconditioned_embeddings=uc,
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 624d47ff64..8a7616f1f1 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -212,8 +212,8 @@ class ControlNetData:
 
 @dataclass
 class ConditioningData:
-    unconditioned_embeddings: torch.Tensor
-    text_embeddings: torch.Tensor
+    unconditioned_embeddings: Any # TODO: type
+    text_embeddings: Any # TODO: type
     guidance_scale: Union[float, List[float]]
     """
     Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598).
@@ -392,48 +392,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 submodels.append(value)
         return submodels
 
-    def image_from_embeddings(
-        self,
-        latents: torch.Tensor,
-        num_inference_steps: int,
-        conditioning_data: ConditioningData,
-        *,
-        noise: torch.Tensor,
-        callback: Callable[[PipelineIntermediateState], None] = None,
-        run_id=None,
-    ) -> InvokeAIStableDiffusionPipelineOutput:
-        r"""
-        Function invoked when calling the pipeline for generation.
-
-        :param conditioning_data:
-        :param latents: Pre-generated un-noised latents, to be used as inputs for
-            image generation. Can be used to tweak the same generation with different prompts.
-        :param num_inference_steps: The number of denoising steps. More denoising steps usually lead to a higher quality
-            image at the expense of slower inference.
-        :param noise: Noise to add to the latents, sampled from a Gaussian distribution.
-        :param callback:
-        :param run_id:
-        """
-        result_latents, result_attention_map_saver = self.latents_from_embeddings(
-            latents,
-            num_inference_steps,
-            conditioning_data,
-            noise=noise,
-            run_id=run_id,
-            callback=callback,
-        )
-        # https://discuss.huggingface.co/t/memory-usage-by-later-pipeline-stages/23699
-        torch.cuda.empty_cache()
-
-        with torch.inference_mode():
-            image = self.decode_latents(result_latents)
-            output = InvokeAIStableDiffusionPipelineOutput(
-                images=image,
-                nsfw_content_detected=[],
-                attention_map_saver=result_attention_map_saver,
-            )
-            return self.check_for_safety(output, dtype=conditioning_data.dtype)
-
     def latents_from_embeddings(
         self,
         latents: torch.Tensor,
@@ -492,13 +450,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             extra_conditioning_info=extra_conditioning_info,
             step_count=len(self.scheduler.timesteps),
         ):
-            yield PipelineIntermediateState(
-                run_id=run_id,
-                step=-1,
-                timestep=self.scheduler.config.num_train_timesteps,
-                latents=latents,
-            )
-
             batch_size = latents.shape[0]
             batched_t = torch.full(
                 (batch_size,),
@@ -506,8 +457,16 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 dtype=timesteps.dtype,
                 device=self._model_group.device_for(self.unet),
             )
+            #latents = noise * self.scheduler.init_noise_sigma # it's like in t2l according to diffusers
             latents = self.scheduler.add_noise(latents, noise, batched_t)
 
+            yield PipelineIntermediateState(
+                run_id=run_id,
+                step=-1,
+                timestep=self.scheduler.config.num_train_timesteps,
+                latents=latents,
+            )
+
             attention_map_saver: Optional[AttentionMapSaver] = None
             # print("timesteps:", timesteps)
             for i, t in enumerate(self.progress_bar(timesteps)):
@@ -569,95 +528,40 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
 
         # TODO: should this scaling happen here or inside self._unet_forward?
         #     i.e. before or after passing it to InvokeAIDiffuserComponent
-        unet_latent_input = self.scheduler.scale_model_input(latents, timestep)
+        latent_model_input = self.scheduler.scale_model_input(latents, timestep)
 
         # default is no controlnet, so set controlnet processing output to None
-        down_block_res_samples, mid_block_res_sample = None, None
-
+        controlnet_down_block_samples, controlnet_mid_block_sample = None, None
         if control_data is not None:
-            # control_data should be type List[ControlNetData]
-            # this loop covers both ControlNet (one ControlNetData in list)
-            #      and MultiControlNet (multiple ControlNetData in list)
-            for i, control_datum in enumerate(control_data):
-                control_mode = control_datum.control_mode
-                # soft_injection and cfg_injection are the two ControlNet control_mode booleans
-                #     that are combined at higher level to make control_mode enum
-                #  soft_injection determines whether to do per-layer re-weighting adjustment (if True)
-                #     or default weighting (if False)
-                soft_injection = control_mode == "more_prompt" or control_mode == "more_control"
-                #  cfg_injection = determines whether to apply ControlNet to only the conditional (if True)
-                #      or the default both conditional and unconditional (if False)
-                cfg_injection = control_mode == "more_control" or control_mode == "unbalanced"
+            controlnet_down_block_samples, controlnet_mid_block_sample = self.invokeai_diffuser.do_controlnet_step(
+                control_data=control_data,
+                sample=latent_model_input,
+                timestep=timestep,
+                step_index=step_index,
+                total_step_count=total_step_count,
+                conditioning_data=conditioning_data,
+            )
 
-                first_control_step = math.floor(control_datum.begin_step_percent * total_step_count)
-                last_control_step = math.ceil(control_datum.end_step_percent * total_step_count)
-                # only apply controlnet if current step is within the controlnet's begin/end step range
-                if step_index >= first_control_step and step_index <= last_control_step:
-                    if cfg_injection:
-                        control_latent_input = unet_latent_input
-                    else:
-                        # expand the latents input to control model if doing classifier free guidance
-                        #    (which I think for now is always true, there is conditional elsewhere that stops execution if
-                        #     classifier_free_guidance is <= 1.0 ?)
-                        control_latent_input = torch.cat([unet_latent_input] * 2)
-
-                    if cfg_injection:  # only applying ControlNet to conditional instead of in unconditioned
-                        encoder_hidden_states = conditioning_data.text_embeddings
-                        encoder_attention_mask = None
-                    else:
-                        (
-                            encoder_hidden_states,
-                            encoder_attention_mask,
-                        ) = self.invokeai_diffuser._concat_conditionings_for_batch(
-                            conditioning_data.unconditioned_embeddings,
-                            conditioning_data.text_embeddings,
-                        )
-                    if isinstance(control_datum.weight, list):
-                        # if controlnet has multiple weights, use the weight for the current step
-                        controlnet_weight = control_datum.weight[step_index]
-                    else:
-                        # if controlnet has a single weight, use it for all steps
-                        controlnet_weight = control_datum.weight
-
-                    # controlnet(s) inference
-                    down_samples, mid_sample = control_datum.model(
-                        sample=control_latent_input,
-                        timestep=timestep,
-                        encoder_hidden_states=encoder_hidden_states,
-                        controlnet_cond=control_datum.image_tensor,
-                        conditioning_scale=controlnet_weight,  # controlnet specific, NOT the guidance scale
-                        encoder_attention_mask=encoder_attention_mask,
-                        guess_mode=soft_injection,  # this is still called guess_mode in diffusers ControlNetModel
-                        return_dict=False,
-                    )
-                    if cfg_injection:
-                        # Inferred ControlNet only for the conditional batch.
-                        # To apply the output of ControlNet to both the unconditional and conditional batches,
-                        #    prepend zeros for unconditional batch
-                        down_samples = [torch.cat([torch.zeros_like(d), d]) for d in down_samples]
-                        mid_sample = torch.cat([torch.zeros_like(mid_sample), mid_sample])
-
-                    if down_block_res_samples is None and mid_block_res_sample is None:
-                        down_block_res_samples, mid_block_res_sample = down_samples, mid_sample
-                    else:
-                        # add controlnet outputs together if have multiple controlnets
-                        down_block_res_samples = [
-                            samples_prev + samples_curr
-                            for samples_prev, samples_curr in zip(down_block_res_samples, down_samples)
-                        ]
-                        mid_block_res_sample += mid_sample
-
-        # predict the noise residual
-        noise_pred = self.invokeai_diffuser.do_diffusion_step(
-            x=unet_latent_input,
-            sigma=t,
-            unconditioning=conditioning_data.unconditioned_embeddings,
-            conditioning=conditioning_data.text_embeddings,
-            unconditional_guidance_scale=conditioning_data.guidance_scale,
+        uc_noise_pred, c_noise_pred = self.invokeai_diffuser.do_unet_step(
+            sample=latent_model_input,
+            timestep=t, # TODO: debug how handled batched and non batched timesteps
             step_index=step_index,
             total_step_count=total_step_count,
-            down_block_additional_residuals=down_block_res_samples,  # from controlnet(s)
-            mid_block_additional_residual=mid_block_res_sample,  # from controlnet(s)
+            conditioning_data=conditioning_data,
+
+            # extra:
+            down_block_additional_residuals=controlnet_down_block_samples,  # from controlnet(s)
+            mid_block_additional_residual=controlnet_mid_block_sample,  # from controlnet(s)
+        )
+
+        guidance_scale = conditioning_data.guidance_scale
+        if isinstance(guidance_scale, list):
+            guidance_scale = guidance_scale[step_index]
+
+        noise_pred = self.invokeai_diffuser._combine(
+            uc_noise_pred,
+            c_noise_pred,
+            guidance_scale,
         )
 
         # compute the previous noisy sample x_t -> x_t-1
@@ -738,41 +642,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             callback,
         )
 
-    def img2img_from_latents_and_embeddings(
-        self,
-        initial_latents,
-        num_inference_steps,
-        conditioning_data: ConditioningData,
-        strength,
-        noise: torch.Tensor,
-        run_id=None,
-        callback=None,
-    ) -> InvokeAIStableDiffusionPipelineOutput:
-        timesteps, _ = self.get_img2img_timesteps(num_inference_steps, strength)
-        result_latents, result_attention_maps = self.latents_from_embeddings(
-            latents=initial_latents
-            if strength < 1.0
-            else torch.zeros_like(initial_latents, device=initial_latents.device, dtype=initial_latents.dtype),
-            num_inference_steps=num_inference_steps,
-            conditioning_data=conditioning_data,
-            timesteps=timesteps,
-            noise=noise,
-            run_id=run_id,
-            callback=callback,
-        )
-
-        # https://discuss.huggingface.co/t/memory-usage-by-later-pipeline-stages/23699
-        torch.cuda.empty_cache()
-
-        with torch.inference_mode():
-            image = self.decode_latents(result_latents)
-            output = InvokeAIStableDiffusionPipelineOutput(
-                images=image,
-                nsfw_content_detected=[],
-                attention_map_saver=result_attention_maps,
-            )
-            return self.check_for_safety(output, dtype=conditioning_data.dtype)
-
     def get_img2img_timesteps(self, num_inference_steps: int, strength: float, device=None) -> (torch.Tensor, int):
         img2img_pipeline = StableDiffusionImg2ImgPipeline(**self.components)
         assert img2img_pipeline.scheduler is self.scheduler
@@ -877,7 +746,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 nsfw_content_detected=[],
                 attention_map_saver=result_attention_maps,
             )
-            return self.check_for_safety(output, dtype=conditioning_data.dtype)
+            return self.check_for_safety(output, dtype=self.unet.dtype)
 
     def non_noised_latents_from_image(self, init_image, *, device: torch.device, dtype):
         init_image = init_image.to(device=device, dtype=dtype)
diff --git a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
index c01cf82c57..b906719923 100644
--- a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
+++ b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
@@ -1,6 +1,6 @@
 from contextlib import contextmanager
 from dataclasses import dataclass
-from math import ceil
+import math
 from typing import Any, Callable, Dict, Optional, Union, List
 
 import numpy as np
@@ -127,33 +127,119 @@ class InvokeAIDiffuserComponent:
         for _, module in tokens_cross_attention_modules:
             module.set_attention_slice_calculated_callback(None)
 
-    def do_diffusion_step(
+    def do_controlnet_step(
         self,
-        x: torch.Tensor,
-        sigma: torch.Tensor,
-        unconditioning: Union[torch.Tensor, dict],
-        conditioning: Union[torch.Tensor, dict],
-        # unconditional_guidance_scale: float,
-        unconditional_guidance_scale: Union[float, List[float]],
-        step_index: Optional[int] = None,
-        total_step_count: Optional[int] = None,
+        control_data,
+        sample: torch.Tensor,
+        timestep: torch.Tensor,
+        step_index: int,
+        total_step_count: int,
+        conditioning_data,
+    ):
+        down_block_res_samples, mid_block_res_sample = None, None
+
+        # control_data should be type List[ControlNetData]
+        # this loop covers both ControlNet (one ControlNetData in list)
+        #      and MultiControlNet (multiple ControlNetData in list)
+        for i, control_datum in enumerate(control_data):
+            control_mode = control_datum.control_mode
+            # soft_injection and cfg_injection are the two ControlNet control_mode booleans
+            #     that are combined at higher level to make control_mode enum
+            #  soft_injection determines whether to do per-layer re-weighting adjustment (if True)
+            #     or default weighting (if False)
+            soft_injection = control_mode == "more_prompt" or control_mode == "more_control"
+            #  cfg_injection = determines whether to apply ControlNet to only the conditional (if True)
+            #      or the default both conditional and unconditional (if False)
+            cfg_injection = control_mode == "more_control" or control_mode == "unbalanced"
+
+            first_control_step = math.floor(control_datum.begin_step_percent * total_step_count)
+            last_control_step = math.ceil(control_datum.end_step_percent * total_step_count)
+            # only apply controlnet if current step is within the controlnet's begin/end step range
+            if step_index >= first_control_step and step_index <= last_control_step:
+                if cfg_injection:
+                    sample_model_input = sample
+                else:
+                    # expand the latents input to control model if doing classifier free guidance
+                    #    (which I think for now is always true, there is conditional elsewhere that stops execution if
+                    #     classifier_free_guidance is <= 1.0 ?)
+                    sample_model_input = torch.cat([sample] * 2)
+
+                added_cond_kwargs = None
+
+                if cfg_injection:  # only applying ControlNet to conditional instead of in unconditioned
+                    if type(conditioning_data.text_embeddings).__name__ == "SDXLConditioningInfo":
+                        added_cond_kwargs = {
+                            "text_embeds": conditioning_data.text_embeddings.pooled_embeds,
+                            "time_ids": conditioning_data.text_embeddings.add_time_ids,
+                        }
+                    encoder_hidden_states = conditioning_data.text_embeddings.embeds
+                    encoder_attention_mask = None
+                else:
+                    if type(conditioning_data.text_embeddings).__name__ == "SDXLConditioningInfo":
+                        added_cond_kwargs = {
+                            "text_embeds": torch.cat([
+                                # TODO: how to pad? just by zeros? or even truncate?
+                                conditioning_data.unconditioned_embeddings.pooled_embeds,
+                                conditioning_data.text_embeddings.pooled_embeds,
+                            ], dim=0),
+                            "time_ids": torch.cat([
+                                conditioning_data.unconditioned_embeddings.add_time_ids,
+                                conditioning_data.text_embeddings.add_time_ids,
+                            ], dim=0),
+                        }
+                    (
+                        encoder_hidden_states,
+                        encoder_attention_mask,
+                    ) = self._concat_conditionings_for_batch(
+                        conditioning_data.unconditioned_embeddings.embeds,
+                        conditioning_data.text_embeddings.embeds,
+                    )
+                if isinstance(control_datum.weight, list):
+                    # if controlnet has multiple weights, use the weight for the current step
+                    controlnet_weight = control_datum.weight[step_index]
+                else:
+                    # if controlnet has a single weight, use it for all steps
+                    controlnet_weight = control_datum.weight
+
+                # controlnet(s) inference
+                down_samples, mid_sample = control_datum.model(
+                    sample=sample_model_input,
+                    timestep=timestep,
+                    encoder_hidden_states=encoder_hidden_states,
+                    controlnet_cond=control_datum.image_tensor,
+                    conditioning_scale=controlnet_weight,  # controlnet specific, NOT the guidance scale
+                    encoder_attention_mask=encoder_attention_mask,
+                    guess_mode=soft_injection,  # this is still called guess_mode in diffusers ControlNetModel
+                    return_dict=False,
+                )
+                if cfg_injection:
+                    # Inferred ControlNet only for the conditional batch.
+                    # To apply the output of ControlNet to both the unconditional and conditional batches,
+                    #    prepend zeros for unconditional batch
+                    down_samples = [torch.cat([torch.zeros_like(d), d]) for d in down_samples]
+                    mid_sample = torch.cat([torch.zeros_like(mid_sample), mid_sample])
+
+                if down_block_res_samples is None and mid_block_res_sample is None:
+                    down_block_res_samples, mid_block_res_sample = down_samples, mid_sample
+                else:
+                    # add controlnet outputs together if have multiple controlnets
+                    down_block_res_samples = [
+                        samples_prev + samples_curr
+                        for samples_prev, samples_curr in zip(down_block_res_samples, down_samples)
+                    ]
+                    mid_block_res_sample += mid_sample
+
+        return down_block_res_samples, mid_block_res_sample
+
+    def do_unet_step(
+        self,
+        sample: torch.Tensor,
+        timestep: torch.Tensor,
+        conditioning_data, # TODO: type
+        step_index: int,
+        total_step_count: int,
         **kwargs,
     ):
-        """
-        :param x: current latents
-        :param sigma: aka t, passed to the internal model to control how much denoising will occur
-        :param unconditioning: embeddings for unconditioned output. for hybrid conditioning this is a dict of tensors [B x 77 x 768], otherwise a single tensor [B x 77 x 768]
-        :param conditioning: embeddings for conditioned output. for hybrid conditioning this is a dict of tensors [B x 77 x 768], otherwise a single tensor [B x 77 x 768]
-        :param unconditional_guidance_scale: aka CFG scale, controls how much effect the conditioning tensor has
-        :param step_index: counts upwards from 0 to (step_count-1) (as passed to setup_cross_attention_control, if using). May be called multiple times for a single step, therefore do not assume that its value will monotically increase. If None, will be estimated by comparing sigma against self.model.sigmas .
-        :return: the new latents after applying the model to x using unscaled unconditioning and CFG-scaled conditioning.
-        """
-
-        if isinstance(unconditional_guidance_scale, list):
-            guidance_scale = unconditional_guidance_scale[step_index]
-        else:
-            guidance_scale = unconditional_guidance_scale
-
         cross_attention_control_types_to_do = []
         context: Context = self.cross_attention_control_context
         if self.cross_attention_control_context is not None:
@@ -163,25 +249,15 @@ class InvokeAIDiffuserComponent:
             )
 
         wants_cross_attention_control = len(cross_attention_control_types_to_do) > 0
-        wants_hybrid_conditioning = isinstance(conditioning, dict)
 
-        if wants_hybrid_conditioning:
-            unconditioned_next_x, conditioned_next_x = self._apply_hybrid_conditioning(
-                x,
-                sigma,
-                unconditioning,
-                conditioning,
-                **kwargs,
-            )
-        elif wants_cross_attention_control:
+        if wants_cross_attention_control:
             (
                 unconditioned_next_x,
                 conditioned_next_x,
             ) = self._apply_cross_attention_controlled_conditioning(
-                x,
-                sigma,
-                unconditioning,
-                conditioning,
+                sample,
+                timestep,
+                conditioning_data,
                 cross_attention_control_types_to_do,
                 **kwargs,
             )
@@ -190,10 +266,9 @@ class InvokeAIDiffuserComponent:
                 unconditioned_next_x,
                 conditioned_next_x,
             ) = self._apply_standard_conditioning_sequentially(
-                x,
-                sigma,
-                unconditioning,
-                conditioning,
+                sample,
+                timestep,
+                conditioning_data,
                 **kwargs,
             )
 
@@ -202,21 +277,13 @@ class InvokeAIDiffuserComponent:
                 unconditioned_next_x,
                 conditioned_next_x,
             ) = self._apply_standard_conditioning(
-                x,
-                sigma,
-                unconditioning,
-                conditioning,
+                sample,
+                timestep,
+                conditioning_data,
                 **kwargs,
             )
 
-        combined_next_x = self._combine(
-            # unconditioned_next_x, conditioned_next_x, unconditional_guidance_scale
-            unconditioned_next_x,
-            conditioned_next_x,
-            guidance_scale,
-        )
-
-        return combined_next_x
+        return unconditioned_next_x, conditioned_next_x
 
     def do_latent_postprocessing(
         self,
@@ -281,17 +348,35 @@ class InvokeAIDiffuserComponent:
 
     # methods below are called from do_diffusion_step and should be considered private to this class.
 
-    def _apply_standard_conditioning(self, x, sigma, unconditioning, conditioning, **kwargs):
+    def _apply_standard_conditioning(self, x, sigma, conditioning_data, **kwargs):
         # fast batched path
         x_twice = torch.cat([x] * 2)
         sigma_twice = torch.cat([sigma] * 2)
 
-        both_conditionings, encoder_attention_mask = self._concat_conditionings_for_batch(unconditioning, conditioning)
+        added_cond_kwargs = None
+        if type(conditioning_data.text_embeddings).__name__ == "SDXLConditioningInfo":
+            added_cond_kwargs = {
+                "text_embeds": torch.cat([
+                    # TODO: how to pad? just by zeros? or even truncate?
+                    conditioning_data.unconditioned_embeddings.pooled_embeds,
+                    conditioning_data.text_embeddings.pooled_embeds,
+                ], dim=0),
+                "time_ids": torch.cat([
+                    conditioning_data.unconditioned_embeddings.add_time_ids,
+                    conditioning_data.text_embeddings.add_time_ids,
+                ], dim=0),
+            }
+
+        both_conditionings, encoder_attention_mask = self._concat_conditionings_for_batch(
+            conditioning_data.unconditioned_embeddings.embeds,
+            conditioning_data.text_embeddings.embeds
+        )
         both_results = self.model_forward_callback(
             x_twice,
             sigma_twice,
             both_conditionings,
             encoder_attention_mask=encoder_attention_mask,
+            added_cond_kwargs=added_cond_kwargs,
             **kwargs,
         )
         unconditioned_next_x, conditioned_next_x = both_results.chunk(2)
@@ -320,46 +405,41 @@ class InvokeAIDiffuserComponent:
         if mid_block_additional_residual is not None:
             uncond_mid_block, cond_mid_block = mid_block_additional_residual.chunk(2)
 
+        added_cond_kwargs = None
+        is_sdxl = type(conditioning_data.text_embeddings).__name__ == "SDXLConditioningInfo"
+        if is_sdxl:
+            added_cond_kwargs = {
+                "text_embeds": conditioning_data.unconditioned_embeddings.pooled_embeds,
+                "time_ids": conditioning_data.unconditioned_embeddings.add_time_ids,
+            }
+
         unconditioned_next_x = self.model_forward_callback(
             x,
             sigma,
-            unconditioning,
+            conditioning_data.unconditioned_embeddings.embeds,
             down_block_additional_residuals=uncond_down_block,
             mid_block_additional_residual=uncond_mid_block,
+            added_cond_kwargs=added_cond_kwargs,
             **kwargs,
         )
+
+        if is_sdxl:
+            added_cond_kwargs = {
+                "text_embeds": conditioning_data.text_embeddings.pooled_embeds,
+                "time_ids": conditioning_data.text_embeddings.add_time_ids,
+            }
+
         conditioned_next_x = self.model_forward_callback(
             x,
             sigma,
-            conditioning,
+            conditioning_data.text_embeddings.embeds,
             down_block_additional_residuals=cond_down_block,
             mid_block_additional_residual=cond_mid_block,
+            added_cond_kwargs=added_cond_kwargs,
             **kwargs,
         )
         return unconditioned_next_x, conditioned_next_x
 
-    # TODO: looks unused
-    def _apply_hybrid_conditioning(self, x, sigma, unconditioning, conditioning, **kwargs):
-        assert isinstance(conditioning, dict)
-        assert isinstance(unconditioning, dict)
-        x_twice = torch.cat([x] * 2)
-        sigma_twice = torch.cat([sigma] * 2)
-        both_conditionings = dict()
-        for k in conditioning:
-            if isinstance(conditioning[k], list):
-                both_conditionings[k] = [
-                    torch.cat([unconditioning[k][i], conditioning[k][i]]) for i in range(len(conditioning[k]))
-                ]
-            else:
-                both_conditionings[k] = torch.cat([unconditioning[k], conditioning[k]])
-        unconditioned_next_x, conditioned_next_x = self.model_forward_callback(
-            x_twice,
-            sigma_twice,
-            both_conditionings,
-            **kwargs,
-        ).chunk(2)
-        return unconditioned_next_x, conditioned_next_x
-
     def _apply_cross_attention_controlled_conditioning(
         self,
         x: torch.Tensor,
@@ -391,26 +471,43 @@ class InvokeAIDiffuserComponent:
             mask=context.cross_attention_mask,
             cross_attention_types_to_do=[],
         )
+
+        added_cond_kwargs = None
+        is_sdxl = type(conditioning_data.text_embeddings).__name__ == "SDXLConditioningInfo"
+        if is_sdxl:
+            added_cond_kwargs = {
+                "text_embeds": conditioning_data.unconditioned_embeddings.pooled_embeds,
+                "time_ids": conditioning_data.unconditioned_embeddings.add_time_ids,
+            }
+
         # no cross attention for unconditioning (negative prompt)
         unconditioned_next_x = self.model_forward_callback(
             x,
             sigma,
-            unconditioning,
+            conditioning_data.unconditioned_embeddings.embeds,
             {"swap_cross_attn_context": cross_attn_processor_context},
             down_block_additional_residuals=uncond_down_block,
             mid_block_additional_residual=uncond_mid_block,
+            added_cond_kwargs=added_cond_kwargs,
             **kwargs,
         )
 
+        if is_sdxl:
+            added_cond_kwargs = {
+                "text_embeds": conditioning_data.text_embeddings.pooled_embeds,
+                "time_ids": conditioning_data.text_embeddings.add_time_ids,
+            }
+
         # do requested cross attention types for conditioning (positive prompt)
         cross_attn_processor_context.cross_attention_types_to_do = cross_attention_control_types_to_do
         conditioned_next_x = self.model_forward_callback(
             x,
             sigma,
-            conditioning,
+            conditioning_data.text_embeddings.embeds,
             {"swap_cross_attn_context": cross_attn_processor_context},
             down_block_additional_residuals=cond_down_block,
             mid_block_additional_residual=cond_mid_block,
+            added_cond_kwargs=added_cond_kwargs,
             **kwargs,
         )
         return unconditioned_next_x, conditioned_next_x
@@ -564,7 +661,7 @@ class InvokeAIDiffuserComponent:
         # below is fugly omg
         conditionings = [uc] + [c for c, weight in weighted_cond_list]
         weights = [1] + [weight for c, weight in weighted_cond_list]
-        chunk_count = ceil(len(conditionings) / 2)
+        chunk_count = math.ceil(len(conditionings) / 2)
         deltas = None
         for chunk_index in range(chunk_count):
             offset = chunk_index * 2

From d4cf2d266663ae412360037255b7bdec98216927 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Tue, 1 Aug 2023 17:28:05 +1000
Subject: [PATCH 087/287] fix(api): fix `ApiDependencies.invoker` types

ApiDependencies.invoker` provides typing for the API's services layer. Marking it `Optional` results in all the routes seeing it as optional, which is not good.

Instead of marking it optional to satisfy the initial assignment to `None`, we can just skip the initial assignment. This preserves the IDE hinting in API layer and is types-legal.
---
 invokeai/app/api/dependencies.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/app/api/dependencies.py b/invokeai/app/api/dependencies.py
index b25009c8c9..8d4ec2e0ce 100644
--- a/invokeai/app/api/dependencies.py
+++ b/invokeai/app/api/dependencies.py
@@ -55,7 +55,7 @@ logger = InvokeAILogger.getLogger()
 class ApiDependencies:
     """Contains and initializes all dependencies for the API"""
 
-    invoker: Optional[Invoker] = None
+    invoker: Invoker
 
     @staticmethod
     def initialize(config: InvokeAIAppConfig, event_handler_id: int, logger: Logger = logger):

From 9ba50130a1f0e490892143e734010132f8c7b010 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Tue, 1 Aug 2023 17:29:33 +1000
Subject: [PATCH 088/287] fix(api): fix db location types

The services all want strings instead of `Path`s; create variable for the string representation of the path provided by the config services.
---
 invokeai/app/api/dependencies.py | 15 ++++++++-------
 1 file changed, 8 insertions(+), 7 deletions(-)

diff --git a/invokeai/app/api/dependencies.py b/invokeai/app/api/dependencies.py
index 8d4ec2e0ce..a102782566 100644
--- a/invokeai/app/api/dependencies.py
+++ b/invokeai/app/api/dependencies.py
@@ -68,21 +68,22 @@ class ApiDependencies:
         output_folder = config.output_path
 
         # TODO: build a file/path manager?
-        db_location = config.db_path
-        db_location.parent.mkdir(parents=True, exist_ok=True)
+        db_path = config.db_path
+        db_path.parent.mkdir(parents=True, exist_ok=True)
+        db_path_string = str(db_path)
 
         graph_execution_manager = SqliteItemStorage[GraphExecutionState](
-            filename=db_location, table_name="graph_executions"
+            filename=db_path_string, table_name="graph_executions"
         )
 
         urls = LocalUrlService()
-        image_record_storage = SqliteImageRecordStorage(db_location)
+        image_record_storage = SqliteImageRecordStorage(db_path_string)
         image_file_storage = DiskImageFileStorage(f"{output_folder}/images")
         names = SimpleNameService()
         latents = ForwardCacheLatentsStorage(DiskLatentsStorage(f"{output_folder}/latents"))
 
-        board_record_storage = SqliteBoardRecordStorage(db_location)
-        board_image_record_storage = SqliteBoardImageRecordStorage(db_location)
+        board_record_storage = SqliteBoardRecordStorage(db_path_string)
+        board_image_record_storage = SqliteBoardImageRecordStorage(db_path_string)
 
         boards = BoardService(
             services=BoardServiceDependencies(
@@ -124,7 +125,7 @@ class ApiDependencies:
             boards=boards,
             board_images=board_images,
             queue=MemoryInvocationQueue(),
-            graph_library=SqliteItemStorage[LibraryGraph](filename=db_location, table_name="graphs"),
+            graph_library=SqliteItemStorage[LibraryGraph](filename=db_path_string, table_name="graphs"),
             graph_execution_manager=graph_execution_manager,
             processor=DefaultInvocationProcessor(),
             configuration=config,

From 66f524cae7c890f05fb1ff7644cf5bcab54edb11 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Tue, 1 Aug 2023 17:55:13 +1000
Subject: [PATCH 089/287] fix(mm): fix a lot of typing issues

Most fixes are just things being typed as `str` but having default values of `None`, but there are some minor logic changes.
---
 .../app/services/model_manager_service.py     | 23 +++++++-------
 .../backend/install/model_install_backend.py  |  6 ++--
 .../backend/model_management/model_manager.py | 30 +++++++++++--------
 .../backend/model_management/model_merge.py   |  6 ++--
 4 files changed, 36 insertions(+), 29 deletions(-)

diff --git a/invokeai/app/services/model_manager_service.py b/invokeai/app/services/model_manager_service.py
index c84cc3d189..fd14e26364 100644
--- a/invokeai/app/services/model_manager_service.py
+++ b/invokeai/app/services/model_manager_service.py
@@ -3,9 +3,10 @@
 from __future__ import annotations
 
 from abc import ABC, abstractmethod
+from logging import Logger
 from pathlib import Path
 from pydantic import Field
-from typing import Optional, Union, Callable, List, Tuple, TYPE_CHECKING
+from typing import Literal, Optional, Union, Callable, List, Tuple, TYPE_CHECKING
 from types import ModuleType
 
 from invokeai.backend.model_management import (
@@ -193,7 +194,7 @@ class ModelManagerServiceBase(ABC):
         self,
         model_name: str,
         base_model: BaseModelType,
-        model_type: Union[ModelType.Main, ModelType.Vae],
+        model_type: Literal[ModelType.Main, ModelType.Vae],
     ) -> AddModelResult:
         """
         Convert a checkpoint file into a diffusers folder, deleting the cached
@@ -292,7 +293,7 @@ class ModelManagerService(ModelManagerServiceBase):
     def __init__(
         self,
         config: InvokeAIAppConfig,
-        logger: ModuleType,
+        logger: Logger,
     ):
         """
         Initialize with the path to the models.yaml config file.
@@ -396,7 +397,7 @@ class ModelManagerService(ModelManagerServiceBase):
             model_type,
         )
 
-    def model_info(self, model_name: str, base_model: BaseModelType, model_type: ModelType) -> dict:
+    def model_info(self, model_name: str, base_model: BaseModelType, model_type: ModelType) -> Union[dict, None]:
         """
         Given a model name returns a dict-like (OmegaConf) object describing it.
         """
@@ -416,7 +417,7 @@ class ModelManagerService(ModelManagerServiceBase):
         """
         return self.mgr.list_models(base_model, model_type)
 
-    def list_model(self, model_name: str, base_model: BaseModelType, model_type: ModelType) -> dict:
+    def list_model(self, model_name: str, base_model: BaseModelType, model_type: ModelType) -> Union[dict, None]:
         """
         Return information about the model using the same format as list_models()
         """
@@ -429,7 +430,7 @@ class ModelManagerService(ModelManagerServiceBase):
         model_type: ModelType,
         model_attributes: dict,
         clobber: bool = False,
-    ) -> None:
+    ) -> AddModelResult:
         """
         Update the named model with a dictionary of attributes. Will fail with an
         assertion error if the name already exists. Pass clobber=True to overwrite.
@@ -478,7 +479,7 @@ class ModelManagerService(ModelManagerServiceBase):
         self,
         model_name: str,
         base_model: BaseModelType,
-        model_type: Union[ModelType.Main, ModelType.Vae],
+        model_type: Literal[ModelType.Main, ModelType.Vae],
         convert_dest_directory: Optional[Path] = Field(
             default=None, description="Optional directory location for merged model"
         ),
@@ -573,9 +574,9 @@ class ModelManagerService(ModelManagerServiceBase):
             default=None, description="Base model shared by all models to be merged"
         ),
         merged_model_name: str = Field(default=None, description="Name of destination model after merging"),
-        alpha: Optional[float] = 0.5,
+        alpha: float = 0.5,
         interp: Optional[MergeInterpolationMethod] = None,
-        force: Optional[bool] = False,
+        force: bool = False,
         merge_dest_directory: Optional[Path] = Field(
             default=None, description="Optional directory location for merged model"
         ),
@@ -633,8 +634,8 @@ class ModelManagerService(ModelManagerServiceBase):
         model_name: str,
         base_model: BaseModelType,
         model_type: ModelType,
-        new_name: str = None,
-        new_base: BaseModelType = None,
+        new_name: Optional[str] = None,
+        new_base: Optional[BaseModelType] = None,
     ):
         """
         Rename the indicated model. Can provide a new name and/or a new base.
diff --git a/invokeai/backend/install/model_install_backend.py b/invokeai/backend/install/model_install_backend.py
index fa640719d0..3a6d879bee 100644
--- a/invokeai/backend/install/model_install_backend.py
+++ b/invokeai/backend/install/model_install_backend.py
@@ -101,9 +101,9 @@ class ModelInstall(object):
     def __init__(
         self,
         config: InvokeAIAppConfig,
-        prediction_type_helper: Callable[[Path], SchedulerPredictionType] = None,
-        model_manager: ModelManager = None,
-        access_token: str = None,
+        prediction_type_helper: Optional[Callable[[Path], SchedulerPredictionType]] = None,
+        model_manager: Optional[ModelManager] = None,
+        access_token: Optional[str] = None,
     ):
         self.config = config
         self.mgr = model_manager or ModelManager(config.model_conf_path)
diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index a3b0d4e04a..0bad714a17 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -234,7 +234,7 @@ import textwrap
 import yaml
 from dataclasses import dataclass
 from pathlib import Path
-from typing import Optional, List, Tuple, Union, Dict, Set, Callable, types
+from typing import Literal, Optional, List, Tuple, Union, Dict, Set, Callable, types
 from shutil import rmtree, move
 
 import torch
@@ -518,7 +518,7 @@ class ModelManager(object):
         model_name: str,
         base_model: BaseModelType,
         model_type: ModelType,
-    ) -> dict:
+    ) -> Union[dict, None]:
         """
         Given a model name returns the OmegaConf (dict-like) object describing it.
         """
@@ -540,13 +540,15 @@ class ModelManager(object):
         model_name: str,
         base_model: BaseModelType,
         model_type: ModelType,
-    ) -> dict:
+    ) -> Union[dict, None]:
         """
         Returns a dict describing one installed model, using
         the combined format of the list_models() method.
         """
         models = self.list_models(base_model, model_type, model_name)
-        return models[0] if models else None
+        if len(models) > 1:
+            return models[0]
+        return None
 
     def list_models(
         self,
@@ -560,7 +562,7 @@ class ModelManager(object):
 
         model_keys = (
             [self.create_key(model_name, base_model, model_type)]
-            if model_name
+            if model_name and base_model and model_type
             else sorted(self.models, key=str.casefold)
         )
         models = []
@@ -596,7 +598,7 @@ class ModelManager(object):
         Print a table of models and their descriptions. This needs to be redone
         """
         # TODO: redo
-        for model_type, model_dict in self.list_models().items():
+        for model_dict in self.list_models():
             for model_name, model_info in model_dict.items():
                 line = f'{model_info["name"]:25s} {model_info["type"]:10s} {model_info["description"]}'
                 print(line)
@@ -699,8 +701,8 @@ class ModelManager(object):
         model_name: str,
         base_model: BaseModelType,
         model_type: ModelType,
-        new_name: str = None,
-        new_base: BaseModelType = None,
+        new_name: Optional[str] = None,
+        new_base: Optional[BaseModelType] = None,
     ):
         """
         Rename or rebase a model.
@@ -753,7 +755,7 @@ class ModelManager(object):
         self,
         model_name: str,
         base_model: BaseModelType,
-        model_type: Union[ModelType.Main, ModelType.Vae],
+        model_type: Literal[ModelType.Main, ModelType.Vae],
         dest_directory: Optional[Path] = None,
     ) -> AddModelResult:
         """
@@ -767,6 +769,10 @@ class ModelManager(object):
         This will raise a ValueError unless the model is a checkpoint.
         """
         info = self.model_info(model_name, base_model, model_type)
+
+        if info is None:
+            raise FileNotFoundError(f"model not found: {model_name}")
+
         if info["model_format"] != "checkpoint":
             raise ValueError(f"not a checkpoint format model: {model_name}")
 
@@ -836,7 +842,7 @@ class ModelManager(object):
 
         return search_folder, found_models
 
-    def commit(self, conf_file: Path = None) -> None:
+    def commit(self, conf_file: Optional[Path] = None) -> None:
         """
         Write current configuration out to the indicated file.
         """
@@ -983,7 +989,7 @@ class ModelManager(object):
         # LS: hacky
         # Patch in the SD VAE from core so that it is available for use by the UI
         try:
-            self.heuristic_import({self.resolve_model_path("core/convert/sd-vae-ft-mse")})
+            self.heuristic_import({str(self.resolve_model_path("core/convert/sd-vae-ft-mse"))})
         except:
             pass
 
@@ -1011,7 +1017,7 @@ class ModelManager(object):
     def heuristic_import(
         self,
         items_to_import: Set[str],
-        prediction_type_helper: Callable[[Path], SchedulerPredictionType] = None,
+        prediction_type_helper: Optional[Callable[[Path], SchedulerPredictionType]] = None,
     ) -> Dict[str, AddModelResult]:
         """Import a list of paths, repo_ids or URLs. Returns the set of
         successfully imported items.
diff --git a/invokeai/backend/model_management/model_merge.py b/invokeai/backend/model_management/model_merge.py
index 8cf3ce4ad0..74419a4433 100644
--- a/invokeai/backend/model_management/model_merge.py
+++ b/invokeai/backend/model_management/model_merge.py
@@ -33,7 +33,7 @@ class ModelMerger(object):
         self,
         model_paths: List[Path],
         alpha: float = 0.5,
-        interp: MergeInterpolationMethod = None,
+        interp: Optional[MergeInterpolationMethod] = None,
         force: bool = False,
         **kwargs,
     ) -> DiffusionPipeline:
@@ -73,7 +73,7 @@ class ModelMerger(object):
         base_model: Union[BaseModelType, str],
         merged_model_name: str,
         alpha: float = 0.5,
-        interp: MergeInterpolationMethod = None,
+        interp: Optional[MergeInterpolationMethod] = None,
         force: bool = False,
         merge_dest_directory: Optional[Path] = None,
         **kwargs,
@@ -122,7 +122,7 @@ class ModelMerger(object):
         dump_path.mkdir(parents=True, exist_ok=True)
         dump_path = dump_path / merged_model_name
 
-        merged_pipe.save_pretrained(dump_path, safe_serialization=1)
+        merged_pipe.save_pretrained(dump_path, safe_serialization=True)
         attributes = dict(
             path=str(dump_path),
             description=f"Merge of models {', '.join(model_names)}",

From d09dfc3e9bdbd9a8522559fb8bd0bc70d205fd94 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 3 Aug 2023 10:08:44 +1000
Subject: [PATCH 090/287] fix(api): use `db_location` instead of
 `db_path_string`

This may just be the SQLite memory sentinel value.
---
 invokeai/app/api/dependencies.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/invokeai/app/api/dependencies.py b/invokeai/app/api/dependencies.py
index a102782566..4aaf7a0272 100644
--- a/invokeai/app/api/dependencies.py
+++ b/invokeai/app/api/dependencies.py
@@ -70,20 +70,20 @@ class ApiDependencies:
         # TODO: build a file/path manager?
         db_path = config.db_path
         db_path.parent.mkdir(parents=True, exist_ok=True)
-        db_path_string = str(db_path)
+        db_location = str(db_path)
 
         graph_execution_manager = SqliteItemStorage[GraphExecutionState](
-            filename=db_path_string, table_name="graph_executions"
+            filename=db_location, table_name="graph_executions"
         )
 
         urls = LocalUrlService()
-        image_record_storage = SqliteImageRecordStorage(db_path_string)
+        image_record_storage = SqliteImageRecordStorage(db_location)
         image_file_storage = DiskImageFileStorage(f"{output_folder}/images")
         names = SimpleNameService()
         latents = ForwardCacheLatentsStorage(DiskLatentsStorage(f"{output_folder}/latents"))
 
-        board_record_storage = SqliteBoardRecordStorage(db_path_string)
-        board_image_record_storage = SqliteBoardImageRecordStorage(db_path_string)
+        board_record_storage = SqliteBoardRecordStorage(db_location)
+        board_image_record_storage = SqliteBoardImageRecordStorage(db_location)
 
         boards = BoardService(
             services=BoardServiceDependencies(
@@ -125,7 +125,7 @@ class ApiDependencies:
             boards=boards,
             board_images=board_images,
             queue=MemoryInvocationQueue(),
-            graph_library=SqliteItemStorage[LibraryGraph](filename=db_path_string, table_name="graphs"),
+            graph_library=SqliteItemStorage[LibraryGraph](filename=db_location, table_name="graphs"),
             graph_execution_manager=graph_execution_manager,
             processor=DefaultInvocationProcessor(),
             configuration=config,

From 006d782cc8bcca9be8410dd4e68ec0d61efaef77 Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Sat, 5 Aug 2023 20:35:38 -0700
Subject: [PATCH 091/287] =?UTF-8?q?refactor(diffusers=5Fpipeline):=20tidy?=
 =?UTF-8?q?=20imports=20=F0=9F=9A=AE?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .../backend/stable_diffusion/diffusers_pipeline.py    | 11 ++++-------
 1 file changed, 4 insertions(+), 7 deletions(-)

diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 624d47ff64..2c35245a6a 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -7,22 +7,19 @@ import secrets
 from collections.abc import Sequence
 from dataclasses import dataclass, field
 from typing import Any, Callable, Generic, List, Optional, Type, TypeVar, Union
-from pydantic import Field
 
-import einops
 import PIL.Image
-import numpy as np
-from accelerate.utils import set_seed
+import einops
 import psutil
 import torch
 import torchvision.transforms as T
+from accelerate.utils import set_seed
 from diffusers.models import AutoencoderKL, UNet2DConditionModel
 from diffusers.models.controlnet import ControlNetModel
 from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
 from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import (
     StableDiffusionPipeline,
 )
-
 from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img import (
     StableDiffusionImg2ImgPipeline,
 )
@@ -31,21 +28,21 @@ from diffusers.pipelines.stable_diffusion.safety_checker import (
 )
 from diffusers.schedulers import KarrasDiffusionSchedulers
 from diffusers.schedulers.scheduling_utils import SchedulerMixin, SchedulerOutput
-from diffusers.utils import PIL_INTERPOLATION
 from diffusers.utils.import_utils import is_xformers_available
 from diffusers.utils.outputs import BaseOutput
+from pydantic import Field
 from torchvision.transforms.functional import resize as tv_resize
 from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
 from typing_extensions import ParamSpec
 
 from invokeai.app.services.config import InvokeAIAppConfig
-from ..util import CPU_DEVICE, normalize_device
 from .diffusion import (
     AttentionMapSaver,
     InvokeAIDiffuserComponent,
     PostprocessingSettings,
 )
 from .offloading import FullyLoadedModelGroup, ModelGroup
+from ..util import normalize_device
 
 
 @dataclass

From b80abdd10161000155b1aa088fbd550fc50f61a5 Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Sat, 5 Aug 2023 20:37:17 -0700
Subject: [PATCH 092/287] =?UTF-8?q?refactor(diffusers=5Fpipeline):=20remov?=
 =?UTF-8?q?e=20unused=20image=5Ffrom=5Fembeddings=20=F0=9F=9A=AE?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .../stable_diffusion/diffusers_pipeline.py    | 42 -------------------
 1 file changed, 42 deletions(-)

diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 2c35245a6a..eaafc834ed 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -389,48 +389,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 submodels.append(value)
         return submodels
 
-    def image_from_embeddings(
-        self,
-        latents: torch.Tensor,
-        num_inference_steps: int,
-        conditioning_data: ConditioningData,
-        *,
-        noise: torch.Tensor,
-        callback: Callable[[PipelineIntermediateState], None] = None,
-        run_id=None,
-    ) -> InvokeAIStableDiffusionPipelineOutput:
-        r"""
-        Function invoked when calling the pipeline for generation.
-
-        :param conditioning_data:
-        :param latents: Pre-generated un-noised latents, to be used as inputs for
-            image generation. Can be used to tweak the same generation with different prompts.
-        :param num_inference_steps: The number of denoising steps. More denoising steps usually lead to a higher quality
-            image at the expense of slower inference.
-        :param noise: Noise to add to the latents, sampled from a Gaussian distribution.
-        :param callback:
-        :param run_id:
-        """
-        result_latents, result_attention_map_saver = self.latents_from_embeddings(
-            latents,
-            num_inference_steps,
-            conditioning_data,
-            noise=noise,
-            run_id=run_id,
-            callback=callback,
-        )
-        # https://discuss.huggingface.co/t/memory-usage-by-later-pipeline-stages/23699
-        torch.cuda.empty_cache()
-
-        with torch.inference_mode():
-            image = self.decode_latents(result_latents)
-            output = InvokeAIStableDiffusionPipelineOutput(
-                images=image,
-                nsfw_content_detected=[],
-                attention_map_saver=result_attention_map_saver,
-            )
-            return self.check_for_safety(output, dtype=conditioning_data.dtype)
-
     def latents_from_embeddings(
         self,
         latents: torch.Tensor,

From 77033eabd314d78a6f6064e4d938c94787431d14 Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Sat, 5 Aug 2023 20:41:47 -0700
Subject: [PATCH 093/287] =?UTF-8?q?refactor(diffusers=5Fpipeline):=20remov?=
 =?UTF-8?q?e=20unused=20`precision`=20=F0=9F=9A=AE?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 invokeai/app/invocations/generate.py          | 20 +++++-------
 invokeai/app/invocations/latent.py            | 32 ++++++++-----------
 .../stable_diffusion/diffusers_pipeline.py    |  1 -
 3 files changed, 21 insertions(+), 32 deletions(-)

diff --git a/invokeai/app/invocations/generate.py b/invokeai/app/invocations/generate.py
index d48c9f922e..f8d240e45c 100644
--- a/invokeai/app/invocations/generate.py
+++ b/invokeai/app/invocations/generate.py
@@ -1,26 +1,23 @@
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
 
+from contextlib import contextmanager, ContextDecorator
 from functools import partial
 from typing import Literal, Optional, get_args
 
-import torch
 from pydantic import Field
 
 from invokeai.app.models.image import ColorField, ImageCategory, ImageField, ResourceOrigin
 from invokeai.app.util.misc import SEED_MAX, get_random_seed
 from invokeai.backend.generator.inpaint import infill_methods
-
-from ...backend.generator import Inpaint, InvokeAIGenerator
-from ...backend.stable_diffusion import PipelineIntermediateState
-from ..util.step_callback import stable_diffusion_step_callback
 from .baseinvocation import BaseInvocation, InvocationConfig, InvocationContext
-from .image import ImageOutput
-
-from ...backend.model_management.lora import ModelPatcher
-from ...backend.stable_diffusion.diffusers_pipeline import StableDiffusionGeneratorPipeline
-from .model import UNetField, VaeField
 from .compel import ConditioningField
-from contextlib import contextmanager, ExitStack, ContextDecorator
+from .image import ImageOutput
+from .model import UNetField, VaeField
+from ..util.step_callback import stable_diffusion_step_callback
+from ...backend.generator import Inpaint, InvokeAIGenerator
+from ...backend.model_management.lora import ModelPatcher
+from ...backend.stable_diffusion import PipelineIntermediateState
+from ...backend.stable_diffusion.diffusers_pipeline import StableDiffusionGeneratorPipeline
 
 SAMPLER_NAME_VALUES = Literal[tuple(InvokeAIGenerator.schedulers())]
 INFILL_METHODS = Literal[tuple(infill_methods())]
@@ -193,7 +190,6 @@ class InpaintInvocation(BaseInvocation):
                 safety_checker=None,
                 feature_extractor=None,
                 requires_safety_checker=False,
-                precision="float16" if dtype == torch.float16 else "float32",
                 execution_device=device,
             )
 
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 6e2e0838bc..c15f84ddd0 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -5,15 +5,26 @@ from typing import List, Literal, Optional, Union
 
 import einops
 import torch
-from diffusers import ControlNetModel
 from diffusers.image_processor import VaeImageProcessor
+from diffusers.models.attention_processor import (
+    AttnProcessor2_0,
+    LoRAAttnProcessor2_0,
+    LoRAXFormersAttnProcessor,
+    XFormersAttnProcessor,
+)
 from diffusers.schedulers import SchedulerMixin as Scheduler
 from pydantic import BaseModel, Field, validator
 
 from invokeai.app.invocations.metadata import CoreMetadata
+from invokeai.app.util.controlnet_utils import prepare_control_image
 from invokeai.app.util.step_callback import stable_diffusion_step_callback
 from invokeai.backend.model_management.models import ModelType, SilenceWarnings
-
+from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext
+from .compel import ConditioningField
+from .controlnet_image_processors import ControlField
+from .image import ImageOutput
+from .model import ModelInfo, UNetField, VaeField
+from ..models.image import ImageCategory, ImageField, ResourceOrigin
 from ...backend.model_management import ModelPatcher
 from ...backend.stable_diffusion import PipelineIntermediateState
 from ...backend.stable_diffusion.diffusers_pipeline import (
@@ -24,23 +35,7 @@ from ...backend.stable_diffusion.diffusers_pipeline import (
 )
 from ...backend.stable_diffusion.diffusion.shared_invokeai_diffusion import PostprocessingSettings
 from ...backend.stable_diffusion.schedulers import SCHEDULER_MAP
-from ...backend.model_management import ModelPatcher
 from ...backend.util.devices import choose_torch_device, torch_dtype, choose_precision
-from ..models.image import ImageCategory, ImageField, ResourceOrigin
-from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext
-from .compel import ConditioningField
-from .controlnet_image_processors import ControlField
-from .image import ImageOutput
-from .model import ModelInfo, UNetField, VaeField
-from invokeai.app.util.controlnet_utils import prepare_control_image
-
-from diffusers.models.attention_processor import (
-    AttnProcessor2_0,
-    LoRAAttnProcessor2_0,
-    LoRAXFormersAttnProcessor,
-    XFormersAttnProcessor,
-)
-
 
 DEFAULT_PRECISION = choose_precision(choose_torch_device())
 
@@ -231,7 +226,6 @@ class TextToLatentsInvocation(BaseInvocation):
             safety_checker=None,
             feature_extractor=None,
             requires_safety_checker=False,
-            precision="float16" if unet.dtype == torch.float16 else "float32",
         )
 
     def prep_control_data(
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index eaafc834ed..48182a6be2 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -300,7 +300,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         safety_checker: Optional[StableDiffusionSafetyChecker],
         feature_extractor: Optional[CLIPFeatureExtractor],
         requires_safety_checker: bool = False,
-        precision: str = "float32",
         control_model: ControlNetModel = None,
         execution_device: Optional[torch.device] = None,
     ):

From 6487e7d9064217dcc735db208f246d14477beff3 Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Sat, 5 Aug 2023 21:19:29 -0700
Subject: [PATCH 094/287] =?UTF-8?q?refactor(diffusers=5Fpipeline):=20remov?=
 =?UTF-8?q?e=20unused=20ModelGroup=20=F0=9F=9A=AE?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

orphaned since #3550 removed the LazilyLoadedModelGroup code, probably unused since ModelCache took over responsibility for sequential offload somewhere around #3335.
---
 invokeai/app/invocations/generate.py          |   1 -
 .../stable_diffusion/diffusers_pipeline.py    |  71 +----
 .../backend/stable_diffusion/offloading.py    | 253 ------------------
 3 files changed, 7 insertions(+), 318 deletions(-)
 delete mode 100644 invokeai/backend/stable_diffusion/offloading.py

diff --git a/invokeai/app/invocations/generate.py b/invokeai/app/invocations/generate.py
index f8d240e45c..88a76e930c 100644
--- a/invokeai/app/invocations/generate.py
+++ b/invokeai/app/invocations/generate.py
@@ -190,7 +190,6 @@ class InpaintInvocation(BaseInvocation):
                 safety_checker=None,
                 feature_extractor=None,
                 requires_safety_checker=False,
-                execution_device=device,
             )
 
             yield OldModelInfo(
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 48182a6be2..6891c726dc 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -4,7 +4,6 @@ import dataclasses
 import inspect
 import math
 import secrets
-from collections.abc import Sequence
 from dataclasses import dataclass, field
 from typing import Any, Callable, Generic, List, Optional, Type, TypeVar, Union
 
@@ -41,7 +40,6 @@ from .diffusion import (
     InvokeAIDiffuserComponent,
     PostprocessingSettings,
 )
-from .offloading import FullyLoadedModelGroup, ModelGroup
 from ..util import normalize_device
 
 
@@ -286,8 +284,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         feature_extractor ([`CLIPFeatureExtractor`]):
             Model that extracts features from generated images to be used as inputs for the `safety_checker`.
     """
-    _model_group: ModelGroup
-
     ID_LENGTH = 8
 
     def __init__(
@@ -301,7 +297,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         feature_extractor: Optional[CLIPFeatureExtractor],
         requires_safety_checker: bool = False,
         control_model: ControlNetModel = None,
-        execution_device: Optional[torch.device] = None,
     ):
         super().__init__(
             vae,
@@ -326,9 +321,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             # control_model=control_model,
         )
         self.invokeai_diffuser = InvokeAIDiffuserComponent(self.unet, self._unet_forward)
-
-        self._model_group = FullyLoadedModelGroup(execution_device or self.unet.device)
-        self._model_group.install(*self._submodels)
         self.control_model = control_model
 
     def _adjust_memory_efficient_attention(self, latents: torch.Tensor):
@@ -364,30 +356,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             else:
                 self.disable_attention_slicing()
 
-    def to(self, torch_device: Optional[Union[str, torch.device]] = None, silence_dtype_warnings=False):
-        # overridden method; types match the superclass.
-        if torch_device is None:
-            return self
-        self._model_group.set_device(torch.device(torch_device))
-        self._model_group.ready()
-
-    @property
-    def device(self) -> torch.device:
-        return self._model_group.execution_device
-
-    @property
-    def _submodels(self) -> Sequence[torch.nn.Module]:
-        module_names, _, _ = self.extract_init_dict(dict(self.config))
-        submodels = []
-        for name in module_names.keys():
-            if hasattr(self, name):
-                value = getattr(self, name)
-            else:
-                value = getattr(self.config, name)
-            if isinstance(value, torch.nn.Module):
-                submodels.append(value)
-        return submodels
-
     def latents_from_embeddings(
         self,
         latents: torch.Tensor,
@@ -404,7 +372,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         if self.scheduler.config.get("cpu_only", False):
             scheduler_device = torch.device("cpu")
         else:
-            scheduler_device = self._model_group.device_for(self.unet)
+            scheduler_device = self.unet.device
 
         if timesteps is None:
             self.scheduler.set_timesteps(num_inference_steps, device=scheduler_device)
@@ -458,7 +426,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 (batch_size,),
                 timesteps[0],
                 dtype=timesteps.dtype,
-                device=self._model_group.device_for(self.unet),
+                device=self.unet.device,
             )
             latents = self.scheduler.add_noise(latents, noise, batched_t)
 
@@ -675,7 +643,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         # 6. Prepare latent variables
         initial_latents = self.non_noised_latents_from_image(
             init_image,
-            device=self._model_group.device_for(self.unet),
+            device=self.unet.device,
             dtype=self.unet.dtype,
         )
         if seed is not None:
@@ -725,7 +693,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 nsfw_content_detected=[],
                 attention_map_saver=result_attention_maps,
             )
-            return self.check_for_safety(output, dtype=conditioning_data.dtype)
+            return output
 
     def get_img2img_timesteps(self, num_inference_steps: int, strength: float, device=None) -> (torch.Tensor, int):
         img2img_pipeline = StableDiffusionImg2ImgPipeline(**self.components)
@@ -734,7 +702,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         if self.scheduler.config.get("cpu_only", False):
             scheduler_device = torch.device("cpu")
         else:
-            scheduler_device = self._model_group.device_for(self.unet)
+            scheduler_device = self.unet.device
 
         img2img_pipeline.scheduler.set_timesteps(num_inference_steps, device=scheduler_device)
         timesteps, adjusted_steps = img2img_pipeline.get_timesteps(
@@ -760,7 +728,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         noise_func=None,
         seed=None,
     ) -> InvokeAIStableDiffusionPipelineOutput:
-        device = self._model_group.device_for(self.unet)
+        device = self.unet.device
         latents_dtype = self.unet.dtype
 
         if isinstance(init_image, PIL.Image.Image):
@@ -831,42 +799,17 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 nsfw_content_detected=[],
                 attention_map_saver=result_attention_maps,
             )
-            return self.check_for_safety(output, dtype=conditioning_data.dtype)
+            return output
 
     def non_noised_latents_from_image(self, init_image, *, device: torch.device, dtype):
         init_image = init_image.to(device=device, dtype=dtype)
         with torch.inference_mode():
-            self._model_group.load(self.vae)
             init_latent_dist = self.vae.encode(init_image).latent_dist
             init_latents = init_latent_dist.sample().to(dtype=dtype)  # FIXME: uses torch.randn. make reproducible!
 
         init_latents = 0.18215 * init_latents
         return init_latents
 
-    def check_for_safety(self, output, dtype):
-        with torch.inference_mode():
-            screened_images, has_nsfw_concept = self.run_safety_checker(output.images, dtype=dtype)
-        screened_attention_map_saver = None
-        if has_nsfw_concept is None or not has_nsfw_concept:
-            screened_attention_map_saver = output.attention_map_saver
-        return InvokeAIStableDiffusionPipelineOutput(
-            screened_images,
-            has_nsfw_concept,
-            # block the attention maps if NSFW content is detected
-            attention_map_saver=screened_attention_map_saver,
-        )
-
-    def run_safety_checker(self, image, device=None, dtype=None):
-        # overriding to use the model group for device info instead of requiring the caller to know.
-        if self.safety_checker is not None:
-            device = self._model_group.device_for(self.safety_checker)
-        return super().run_safety_checker(image, device, dtype)
-
-    def decode_latents(self, latents):
-        # Explicit call to get the vae loaded, since `decode` isn't the forward method.
-        self._model_group.load(self.vae)
-        return super().decode_latents(latents)
-
     def debug_latents(self, latents, msg):
         from invokeai.backend.image_util import debug_image
 
diff --git a/invokeai/backend/stable_diffusion/offloading.py b/invokeai/backend/stable_diffusion/offloading.py
deleted file mode 100644
index aa2426d514..0000000000
--- a/invokeai/backend/stable_diffusion/offloading.py
+++ /dev/null
@@ -1,253 +0,0 @@
-from __future__ import annotations
-
-import warnings
-import weakref
-from abc import ABCMeta, abstractmethod
-from collections.abc import MutableMapping
-from typing import Callable, Union
-
-import torch
-from accelerate.utils import send_to_device
-from torch.utils.hooks import RemovableHandle
-
-OFFLOAD_DEVICE = torch.device("cpu")
-
-
-class _NoModel:
-    """Symbol that indicates no model is loaded.
-
-    (We can't weakref.ref(None), so this was my best idea at the time to come up with something
-    type-checkable.)
-    """
-
-    def __bool__(self):
-        return False
-
-    def to(self, device: torch.device):
-        pass
-
-    def __repr__(self):
-        return "<NO MODEL>"
-
-
-NO_MODEL = _NoModel()
-
-
-class ModelGroup(metaclass=ABCMeta):
-    """
-    A group of models.
-
-    The use case I had in mind when writing this is the sub-models used by a DiffusionPipeline,
-    e.g. its text encoder, U-net, VAE, etc.
-
-    Those models are :py:class:`diffusers.ModelMixin`, but "model" is interchangeable with
-    :py:class:`torch.nn.Module` here.
-    """
-
-    def __init__(self, execution_device: torch.device):
-        self.execution_device = execution_device
-
-    @abstractmethod
-    def install(self, *models: torch.nn.Module):
-        """Add models to this group."""
-        pass
-
-    @abstractmethod
-    def uninstall(self, models: torch.nn.Module):
-        """Remove models from this group."""
-        pass
-
-    @abstractmethod
-    def uninstall_all(self):
-        """Remove all models from this group."""
-
-    @abstractmethod
-    def load(self, model: torch.nn.Module):
-        """Load this model to the execution device."""
-        pass
-
-    @abstractmethod
-    def offload_current(self):
-        """Offload the current model(s) from the execution device."""
-        pass
-
-    @abstractmethod
-    def ready(self):
-        """Ready this group for use."""
-        pass
-
-    @abstractmethod
-    def set_device(self, device: torch.device):
-        """Change which device models from this group will execute on."""
-        pass
-
-    @abstractmethod
-    def device_for(self, model) -> torch.device:
-        """Get the device the given model will execute on.
-
-        The model should already be a member of this group.
-        """
-        pass
-
-    @abstractmethod
-    def __contains__(self, model):
-        """Check if the model is a member of this group."""
-        pass
-
-    def __repr__(self) -> str:
-        return f"<{self.__class__.__name__} object at {id(self):x}: " f"device={self.execution_device} >"
-
-
-class LazilyLoadedModelGroup(ModelGroup):
-    """
-    Only one model from this group is loaded on the GPU at a time.
-
-    Running the forward method of a model will displace the previously-loaded model,
-    offloading it to CPU.
-
-    If you call other methods on the model, e.g. ``model.encode(x)`` instead of ``model(x)``,
-    you will need to explicitly load it with :py:method:`.load(model)`.
-
-    This implementation relies on pytorch forward-pre-hooks, and it will copy forward arguments
-    to the appropriate execution device, as long as they are positional arguments and not keyword
-    arguments. (I didn't make the rules; that's the way the pytorch 1.13 API works for hooks.)
-    """
-
-    _hooks: MutableMapping[torch.nn.Module, RemovableHandle]
-    _current_model_ref: Callable[[], Union[torch.nn.Module, _NoModel]]
-
-    def __init__(self, execution_device: torch.device):
-        super().__init__(execution_device)
-        self._hooks = weakref.WeakKeyDictionary()
-        self._current_model_ref = weakref.ref(NO_MODEL)
-
-    def install(self, *models: torch.nn.Module):
-        for model in models:
-            self._hooks[model] = model.register_forward_pre_hook(self._pre_hook)
-
-    def uninstall(self, *models: torch.nn.Module):
-        for model in models:
-            hook = self._hooks.pop(model)
-            hook.remove()
-            if self.is_current_model(model):
-                # no longer hooked by this object, so don't claim to manage it
-                self.clear_current_model()
-
-    def uninstall_all(self):
-        self.uninstall(*self._hooks.keys())
-
-    def _pre_hook(self, module: torch.nn.Module, forward_input):
-        self.load(module)
-        if len(forward_input) == 0:
-            warnings.warn(
-                f"Hook for {module.__class__.__name__} got no input. " f"Inputs must be positional, not keywords.",
-                stacklevel=3,
-            )
-        return send_to_device(forward_input, self.execution_device)
-
-    def load(self, module):
-        if not self.is_current_model(module):
-            self.offload_current()
-            self._load(module)
-
-    def offload_current(self):
-        module = self._current_model_ref()
-        if module is not NO_MODEL:
-            module.to(OFFLOAD_DEVICE)
-        self.clear_current_model()
-
-    def _load(self, module: torch.nn.Module) -> torch.nn.Module:
-        assert self.is_empty(), f"A model is already loaded: {self._current_model_ref()}"
-        module = module.to(self.execution_device)
-        self.set_current_model(module)
-        return module
-
-    def is_current_model(self, model: torch.nn.Module) -> bool:
-        """Is the given model the one currently loaded on the execution device?"""
-        return self._current_model_ref() is model
-
-    def is_empty(self):
-        """Are none of this group's models loaded on the execution device?"""
-        return self._current_model_ref() is NO_MODEL
-
-    def set_current_model(self, value):
-        self._current_model_ref = weakref.ref(value)
-
-    def clear_current_model(self):
-        self._current_model_ref = weakref.ref(NO_MODEL)
-
-    def set_device(self, device: torch.device):
-        if device == self.execution_device:
-            return
-        self.execution_device = device
-        current = self._current_model_ref()
-        if current is not NO_MODEL:
-            current.to(device)
-
-    def device_for(self, model):
-        if model not in self:
-            raise KeyError(f"This does not manage this model {type(model).__name__}", model)
-        return self.execution_device  # this implementation only dispatches to one device
-
-    def ready(self):
-        pass  # always ready to load on-demand
-
-    def __contains__(self, model):
-        return model in self._hooks
-
-    def __repr__(self) -> str:
-        return (
-            f"<{self.__class__.__name__} object at {id(self):x}: "
-            f"current_model={type(self._current_model_ref()).__name__} >"
-        )
-
-
-class FullyLoadedModelGroup(ModelGroup):
-    """
-    A group of models without any implicit loading or unloading.
-
-    :py:meth:`.ready` loads _all_ the models to the execution device at once.
-    """
-
-    _models: weakref.WeakSet
-
-    def __init__(self, execution_device: torch.device):
-        super().__init__(execution_device)
-        self._models = weakref.WeakSet()
-
-    def install(self, *models: torch.nn.Module):
-        for model in models:
-            self._models.add(model)
-            model.to(self.execution_device)
-
-    def uninstall(self, *models: torch.nn.Module):
-        for model in models:
-            self._models.remove(model)
-
-    def uninstall_all(self):
-        self.uninstall(*self._models)
-
-    def load(self, model):
-        model.to(self.execution_device)
-
-    def offload_current(self):
-        for model in self._models:
-            model.to(OFFLOAD_DEVICE)
-
-    def ready(self):
-        for model in self._models:
-            self.load(model)
-
-    def set_device(self, device: torch.device):
-        self.execution_device = device
-        for model in self._models:
-            if model.device != OFFLOAD_DEVICE:
-                model.to(device)
-
-    def device_for(self, model):
-        if model not in self:
-            raise KeyError("This does not manage this model f{type(model).__name__}", model)
-        return self.execution_device  # this implementation only dispatches to one device
-
-    def __contains__(self, model):
-        return model in self._models

From 59caff7ff09d1d78e8fe7786d1ca9f4f0c10ab71 Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Sat, 5 Aug 2023 21:43:55 -0700
Subject: [PATCH 095/287] =?UTF-8?q?refactor(diffusers=5Fpipeline):=20remov?=
 =?UTF-8?q?e=20unused=20img2img=20wrappers=20=F0=9F=9A=AE?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

invokeai.app no longer needs this as a single method, as it builds on latents2latents instead.
---
 invokeai/backend/generator/img2img.py         | 63 +---------------
 invokeai/backend/generator/inpaint.py         |  8 ++
 .../stable_diffusion/diffusers_pipeline.py    | 73 -------------------
 3 files changed, 9 insertions(+), 135 deletions(-)

diff --git a/invokeai/backend/generator/img2img.py b/invokeai/backend/generator/img2img.py
index 5490b2325c..8aaaff5deb 100644
--- a/invokeai/backend/generator/img2img.py
+++ b/invokeai/backend/generator/img2img.py
@@ -1,25 +1,11 @@
 """
 invokeai.backend.generator.img2img descends from .generator
 """
-from typing import Optional
 
-import torch
-from accelerate.utils import set_seed
-from diffusers import logging
-
-from ..stable_diffusion import (
-    ConditioningData,
-    PostprocessingSettings,
-    StableDiffusionGeneratorPipeline,
-)
 from .base import Generator
 
 
 class Img2Img(Generator):
-    def __init__(self, model, precision):
-        super().__init__(model, precision)
-        self.init_latent = None  # by get_noise()
-
     def get_make_image(
         self,
         sampler,
@@ -42,51 +28,4 @@ class Img2Img(Generator):
         Returns a function returning an image derived from the prompt and the initial image
         Return value depends on the seed at the time you call it.
         """
-        self.perlin = perlin
-
-        # noinspection PyTypeChecker
-        pipeline: StableDiffusionGeneratorPipeline = self.model
-        pipeline.scheduler = sampler
-
-        uc, c, extra_conditioning_info = conditioning
-        conditioning_data = ConditioningData(
-            uc,
-            c,
-            cfg_scale,
-            extra_conditioning_info,
-            postprocessing_settings=PostprocessingSettings(
-                threshold=threshold,
-                warmup=warmup,
-                h_symmetry_time_pct=h_symmetry_time_pct,
-                v_symmetry_time_pct=v_symmetry_time_pct,
-            ),
-        ).add_scheduler_args_if_applicable(pipeline.scheduler, eta=ddim_eta)
-
-        def make_image(x_T: torch.Tensor, seed: int):
-            # FIXME: use x_T for initial seeded noise
-            # We're not at the moment because the pipeline automatically resizes init_image if
-            # necessary, which the x_T input might not match.
-            # In the meantime, reset the seed prior to generating pipeline output so we at least get the same result.
-            logging.set_verbosity_error()  # quench safety check warnings
-            pipeline_output = pipeline.img2img_from_embeddings(
-                init_image,
-                strength,
-                steps,
-                conditioning_data,
-                noise_func=self.get_noise_like,
-                callback=step_callback,
-                seed=seed,
-            )
-            if pipeline_output.attention_map_saver is not None and attention_maps_callback is not None:
-                attention_maps_callback(pipeline_output.attention_map_saver)
-            return pipeline.numpy_to_pil(pipeline_output.images)[0]
-
-        return make_image
-
-    def get_noise_like(self, like: torch.Tensor):
-        device = like.device
-        x = torch.randn_like(like, device=device)
-        if self.perlin > 0.0:
-            shape = like.shape
-            x = (1 - self.perlin) * x + self.perlin * self.get_perlin_noise(shape[3], shape[2])
-        return x
+        raise NotImplementedError("replaced by invokeai.app.invocations.latent.LatentsToLatentsInvocation")
diff --git a/invokeai/backend/generator/inpaint.py b/invokeai/backend/generator/inpaint.py
index 7aeb3d4809..494f213d11 100644
--- a/invokeai/backend/generator/inpaint.py
+++ b/invokeai/backend/generator/inpaint.py
@@ -377,3 +377,11 @@ class Inpaint(Img2Img):
         )
 
         return corrected_result
+
+    def get_noise_like(self, like: torch.Tensor):
+        device = like.device
+        x = torch.randn_like(like, device=device)
+        if self.perlin > 0.0:
+            shape = like.shape
+            x = (1 - self.perlin) * x + self.perlin * self.get_perlin_noise(shape[3], shape[2])
+        return x
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 6891c726dc..c2c8165d02 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -622,79 +622,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             **kwargs,
         ).sample
 
-    def img2img_from_embeddings(
-        self,
-        init_image: Union[torch.FloatTensor, PIL.Image.Image],
-        strength: float,
-        num_inference_steps: int,
-        conditioning_data: ConditioningData,
-        *,
-        callback: Callable[[PipelineIntermediateState], None] = None,
-        run_id=None,
-        noise_func=None,
-        seed=None,
-    ) -> InvokeAIStableDiffusionPipelineOutput:
-        if isinstance(init_image, PIL.Image.Image):
-            init_image = image_resized_to_grid_as_tensor(init_image.convert("RGB"))
-
-        if init_image.dim() == 3:
-            init_image = einops.rearrange(init_image, "c h w -> 1 c h w")
-
-        # 6. Prepare latent variables
-        initial_latents = self.non_noised_latents_from_image(
-            init_image,
-            device=self.unet.device,
-            dtype=self.unet.dtype,
-        )
-        if seed is not None:
-            set_seed(seed)
-        noise = noise_func(initial_latents)
-
-        return self.img2img_from_latents_and_embeddings(
-            initial_latents,
-            num_inference_steps,
-            conditioning_data,
-            strength,
-            noise,
-            run_id,
-            callback,
-        )
-
-    def img2img_from_latents_and_embeddings(
-        self,
-        initial_latents,
-        num_inference_steps,
-        conditioning_data: ConditioningData,
-        strength,
-        noise: torch.Tensor,
-        run_id=None,
-        callback=None,
-    ) -> InvokeAIStableDiffusionPipelineOutput:
-        timesteps, _ = self.get_img2img_timesteps(num_inference_steps, strength)
-        result_latents, result_attention_maps = self.latents_from_embeddings(
-            latents=initial_latents
-            if strength < 1.0
-            else torch.zeros_like(initial_latents, device=initial_latents.device, dtype=initial_latents.dtype),
-            num_inference_steps=num_inference_steps,
-            conditioning_data=conditioning_data,
-            timesteps=timesteps,
-            noise=noise,
-            run_id=run_id,
-            callback=callback,
-        )
-
-        # https://discuss.huggingface.co/t/memory-usage-by-later-pipeline-stages/23699
-        torch.cuda.empty_cache()
-
-        with torch.inference_mode():
-            image = self.decode_latents(result_latents)
-            output = InvokeAIStableDiffusionPipelineOutput(
-                images=image,
-                nsfw_content_detected=[],
-                attention_map_saver=result_attention_maps,
-            )
-            return output
-
     def get_img2img_timesteps(self, num_inference_steps: int, strength: float, device=None) -> (torch.Tensor, int):
         img2img_pipeline = StableDiffusionImg2ImgPipeline(**self.components)
         assert img2img_pipeline.scheduler is self.scheduler

From 1a6f5f0860169569115f689350f5247f1787877c Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Sun, 6 Aug 2023 12:29:31 -0400
Subject: [PATCH 096/287] use backslash on Windows systems for autoadded
 delimiter

---
 invokeai/frontend/install/import_images.py | 18 ++++++------------
 1 file changed, 6 insertions(+), 12 deletions(-)

diff --git a/invokeai/frontend/install/import_images.py b/invokeai/frontend/install/import_images.py
index fe0f20c830..c56dd2e105 100644
--- a/invokeai/frontend/install/import_images.py
+++ b/invokeai/frontend/install/import_images.py
@@ -6,6 +6,7 @@
 """Script to import images into the new database system for 3.0.0"""
 
 import os
+import platform
 import datetime
 import shutil
 import locale
@@ -21,21 +22,14 @@ import PIL.PngImagePlugin
 
 from pathlib import Path
 from prompt_toolkit import prompt
-from prompt_toolkit.shortcuts import yes_no_dialog, message_dialog, input_dialog, button_dialog
+from prompt_toolkit.shortcuts import  message_dialog
 from prompt_toolkit.completion import PathCompleter
-from prompt_toolkit.key_binding import KeyBindings
 
 from invokeai.app.services.config import InvokeAIAppConfig
 
 app_config = InvokeAIAppConfig.get_config()
-
-bindings = KeyBindings()
-
-
-@bindings.add("c-c")
-def _(event):
-    raise KeyboardInterrupt
-
+path_delimiter = '\\' if platform.uname().system=='Windows' else '/'
+print(path_delimiter)
 
 # release notes
 # "Use All" with size dimensions not selectable in the UI will not load dimensions
@@ -122,7 +116,7 @@ class Config:
             )
             if database_path.endswith(".db") and os.path.isabs(database_path) and os.path.exists(database_path):
                 break
-            default = database_path + "/" if Path(database_path).is_dir() else database_path
+            default = database_path + path_delimiter if Path(database_path).is_dir() else database_path
 
         default = ""
         while True:
@@ -136,7 +130,7 @@ class Config:
 
             if outputs_path.endswith("images") and os.path.isabs(outputs_path) and os.path.exists(outputs_path):
                 break
-            default = outputs_path + "/" if Path(outputs_path).is_dir() else outputs_path
+            default = outputs_path + path_delimiter if Path(outputs_path).is_dir() else outputs_path
 
         self.database_path = database_path
         self.outputs_path = outputs_path

From f3d3316558d29bed477776876c940fe52b1118ef Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Sun, 6 Aug 2023 16:00:53 -0400
Subject: [PATCH 097/287] probe LoRAs that do not have the text encoder

---
 invokeai/backend/model_management/model_probe.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index 21462cf6e6..1fcb5334df 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -345,6 +345,8 @@ class LoRACheckpointProbe(CheckpointProbeBase):
             return BaseModelType.StableDiffusion1
         elif lora_token_vector_length == 1024:
             return BaseModelType.StableDiffusion2
+        elif lora_token_vector_length is None:  # variant w/o the text encoder!
+            return BaseModelType.StableDiffusion1
         else:
             raise InvalidModelException(f"Unknown LoRA type")
 

From ae17d01e1d2b4f2ef85a5df6c6e4d7ce0f378ca9 Mon Sep 17 00:00:00 2001
From: Jonathan <34005131+JPPhoto@users.noreply.github.com>
Date: Sun, 6 Aug 2023 18:23:51 -0500
Subject: [PATCH 098/287] Fix hue adjustment (#4182)

* Fix hue adjustment

Hue adjustment wasn't working correctly because color channels got swapped. This has now been fixed and we're using PIL rather than cv2 to do the RGBA->HSV->RGBA conversion. The range of hue adjustment is also the more typical 0..360 degrees.
---
 invokeai/app/invocations/image.py | 18 +++++++-----------
 1 file changed, 7 insertions(+), 11 deletions(-)

diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index 9f60cb620a..c0aa7ad5ef 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -661,27 +661,23 @@ class ImageHueAdjustmentInvocation(BaseInvocation):
 
     # Inputs
     image: ImageField = Field(default=None, description="The image to adjust")
-    hue: int = Field(default=0, description="The degrees by which to rotate the hue")
+    hue: int = Field(default=0, description="The degrees by which to rotate the hue, 0-360")
     # fmt: on
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         pil_image = context.services.images.get_pil_image(self.image.image_name)
 
-        # Convert PIL image to OpenCV format (numpy array), note color channel
-        # ordering is changed from RGB to BGR
-        image = numpy.array(pil_image.convert("RGB"))[:, :, ::-1]
-
         # Convert image to HSV color space
-        hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
+        hsv_image = numpy.array(pil_image.convert("HSV"))
 
-        # Adjust the hue
-        hsv_image[:, :, 0] = (hsv_image[:, :, 0] + self.hue) % 180
+        # Convert hue from 0..360 to 0..256
+        hue = int(256 * ((self.hue % 360) / 360))
 
-        # Convert image back to BGR color space
-        image = cv2.cvtColor(hsv_image, cv2.COLOR_HSV2BGR)
+        # Increment each hue and wrap around at 255
+        hsv_image[:, :, 0] = (hsv_image[:, :, 0] + hue) % 256
 
         # Convert back to PIL format and to original color mode
-        pil_image = Image.fromarray(image[:, :, ::-1], "RGB").convert("RGBA")
+        pil_image = Image.fromarray(hsv_image, mode="HSV").convert("RGBA")
 
         image_dto = context.services.images.create(
             image=pil_image,

From 8469d3e95a7c5533508094ff1fcfa20ab1bcd22d Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 7 Aug 2023 10:05:52 +1000
Subject: [PATCH 099/287] chore: black

---
 invokeai/frontend/install/import_images.py | 12 ++++++++++--
 1 file changed, 10 insertions(+), 2 deletions(-)

diff --git a/invokeai/frontend/install/import_images.py b/invokeai/frontend/install/import_images.py
index 71bef34f26..befef58744 100644
--- a/invokeai/frontend/install/import_images.py
+++ b/invokeai/frontend/install/import_images.py
@@ -116,7 +116,11 @@ class Config:
             )
             if database_path.endswith(".db") and os.path.isabs(database_path) and os.path.exists(database_path):
                 break
-            default = database_path + path_delimiter if Path(database_path).is_dir() and not database_path.endswith(('\\','/')) else database_path
+            default = (
+                database_path + path_delimiter
+                if Path(database_path).is_dir() and not database_path.endswith(("\\", "/"))
+                else database_path
+            )
 
         default = ""
         while True:
@@ -130,7 +134,11 @@ class Config:
 
             if outputs_path.endswith("images") and os.path.isabs(outputs_path) and os.path.exists(outputs_path):
                 break
-            default = outputs_path + path_delimiter if Path(outputs_path).is_dir() and not database_path.endswith(('\\','/')) else outputs_path
+            default = (
+                outputs_path + path_delimiter
+                if Path(outputs_path).is_dir() and not database_path.endswith(("\\", "/"))
+                else outputs_path
+            )
 
         self.database_path = database_path
         self.outputs_path = outputs_path

From b0738b7f701bf001a99b769a959bcf88eda0c62c Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Mon, 7 Aug 2023 18:37:06 +0300
Subject: [PATCH 100/287] Fixes, zero tensor for empty negative prompt, remove
 raw prompt node

---
 invokeai/app/invocations/compel.py            | 206 ++----------------
 .../diffusion/shared_invokeai_diffusion.py    |   6 +-
 2 files changed, 20 insertions(+), 192 deletions(-)

diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index d0b55cd185..7fd101a3a0 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -185,7 +185,7 @@ class CompelInvocation(BaseInvocation):
 
 
 class SDXLPromptInvocationBase:
-    def run_clip_raw(self, context, clip_field, prompt, get_pooled, lora_prefix):
+    def run_clip_compel(self, context, clip_field, prompt, get_pooled, lora_prefix, zero_on_empty):
         tokenizer_info = context.services.model_manager.get_model(
             **clip_field.tokenizer.dict(),
             context=context,
@@ -195,82 +195,21 @@ class SDXLPromptInvocationBase:
             context=context,
         )
 
-        def _lora_loader():
-            for lora in clip_field.loras:
-                lora_info = context.services.model_manager.get_model(**lora.dict(exclude={"weight"}), context=context)
-                yield (lora_info.context.model, lora.weight)
-                del lora_info
-            return
-
-        # loras = [(context.services.model_manager.get_model(**lora.dict(exclude={"weight"})).context.model, lora.weight) for lora in self.clip.loras]
-
-        ti_list = []
-        for trigger in re.findall(r"<[a-zA-Z0-9., _-]+>", prompt):
-            name = trigger[1:-1]
-            try:
-                ti_list.append(
-                    (
-                        name,
-                        context.services.model_manager.get_model(
-                            model_name=name,
-                            base_model=clip_field.text_encoder.base_model,
-                            model_type=ModelType.TextualInversion,
-                            context=context,
-                        ).context.model,
-                    )
-                )
-            except ModelNotFoundException:
-                # print(e)
-                # import traceback
-                # print(traceback.format_exc())
-                print(f'Warn: trigger: "{trigger}" not found')
-
-        with ModelPatcher.apply_lora(
-            text_encoder_info.context.model, _lora_loader(), lora_prefix
-        ), ModelPatcher.apply_ti(tokenizer_info.context.model, text_encoder_info.context.model, ti_list) as (
-            tokenizer,
-            ti_manager,
-        ), ModelPatcher.apply_clip_skip(
-            text_encoder_info.context.model, clip_field.skipped_layers
-        ), text_encoder_info as text_encoder:
-            text_inputs = tokenizer(
-                prompt,
-                padding="max_length",
-                max_length=tokenizer.model_max_length,
-                truncation=True,
-                return_tensors="pt",
-            )
-            text_input_ids = text_inputs.input_ids
-            prompt_embeds = text_encoder(
-                text_input_ids.to(text_encoder.device),
-                output_hidden_states=True,
+        # return zero on empty
+        if prompt == "" and zero_on_empty:
+            cpu_text_encoder = text_encoder_info.context.model
+            c = torch.zeros(
+                (1, cpu_text_encoder.config.max_position_embeddings, cpu_text_encoder.config.hidden_size),
+                dtype=text_encoder_info.context.cache.precision,
             )
             if get_pooled:
-                c_pooled = prompt_embeds[0]
+                c_pooled = torch.zeros(
+                    (1, cpu_text_encoder.config.hidden_size),
+                    dtype=c.dtype,
+                )
             else:
                 c_pooled = None
-            c = prompt_embeds.hidden_states[-2]
-
-        del tokenizer
-        del text_encoder
-        del tokenizer_info
-        del text_encoder_info
-
-        c = c.detach().to("cpu")
-        if c_pooled is not None:
-            c_pooled = c_pooled.detach().to("cpu")
-
-        return c, c_pooled, None
-
-    def run_clip_compel(self, context, clip_field, prompt, get_pooled, lora_prefix):
-        tokenizer_info = context.services.model_manager.get_model(
-            **clip_field.tokenizer.dict(),
-            context=context,
-        )
-        text_encoder_info = context.services.model_manager.get_model(
-            **clip_field.text_encoder.dict(),
-            context=context,
-        )
+            return c, c_pooled, None
 
         def _lora_loader():
             for lora in clip_field.loras:
@@ -375,11 +314,13 @@ class SDXLCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
 
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> CompelOutput:
-        c1, c1_pooled, ec1 = self.run_clip_compel(context, self.clip, self.prompt, False, "lora_te1_")
+        c1, c1_pooled, ec1 = self.run_clip_compel(context, self.clip, self.prompt, False, "lora_te1_", zero_on_empty=False)
         if self.style.strip() == "":
-            c2, c2_pooled, ec2 = self.run_clip_compel(context, self.clip2, self.prompt, True, "lora_te2_")
+            c2, c2_pooled, ec2 = self.run_clip_compel(context, self.clip2, self.prompt, True, "lora_te2_", zero_on_empty=True)
         else:
-            c2, c2_pooled, ec2 = self.run_clip_compel(context, self.clip2, self.style, True, "lora_te2_")
+            c2, c2_pooled, ec2 = self.run_clip_compel(context, self.clip2, self.style, True, "lora_te2_", zero_on_empty=True)
+
+        print(f"{c1.shape=} {c2.shape=} {c2_pooled.shape=} {self.prompt=}")
 
         original_size = (self.original_height, self.original_width)
         crop_coords = (self.crop_top, self.crop_left)
@@ -434,118 +375,7 @@ class SDXLRefinerCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> CompelOutput:
         # TODO: if there will appear lora for refiner - write proper prefix
-        c2, c2_pooled, ec2 = self.run_clip_compel(context, self.clip2, self.style, True, "<NONE>")
-
-        original_size = (self.original_height, self.original_width)
-        crop_coords = (self.crop_top, self.crop_left)
-
-        add_time_ids = torch.tensor([original_size + crop_coords + (self.aesthetic_score,)])
-
-        conditioning_data = ConditioningFieldData(
-            conditionings=[
-                SDXLConditioningInfo(
-                    embeds=c2,
-                    pooled_embeds=c2_pooled,
-                    add_time_ids=add_time_ids,
-                    extra_conditioning=ec2,  # or None
-                )
-            ]
-        )
-
-        conditioning_name = f"{context.graph_execution_state_id}_{self.id}_conditioning"
-        context.services.latents.save(conditioning_name, conditioning_data)
-
-        return CompelOutput(
-            conditioning=ConditioningField(
-                conditioning_name=conditioning_name,
-            ),
-        )
-
-
-class SDXLRawPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
-    """Pass unmodified prompt to conditioning without compel processing."""
-
-    type: Literal["sdxl_raw_prompt"] = "sdxl_raw_prompt"
-
-    prompt: str = Field(default="", description="Prompt")
-    style: str = Field(default="", description="Style prompt")
-    original_width: int = Field(1024, description="")
-    original_height: int = Field(1024, description="")
-    crop_top: int = Field(0, description="")
-    crop_left: int = Field(0, description="")
-    target_width: int = Field(1024, description="")
-    target_height: int = Field(1024, description="")
-    clip: ClipField = Field(None, description="Clip to use")
-    clip2: ClipField = Field(None, description="Clip2 to use")
-
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "SDXL Prompt (Raw)", "tags": ["prompt", "compel"], "type_hints": {"model": "model"}},
-        }
-
-    @torch.no_grad()
-    def invoke(self, context: InvocationContext) -> CompelOutput:
-        c1, c1_pooled, ec1 = self.run_clip_raw(context, self.clip, self.prompt, False, "lora_te1_")
-        if self.style.strip() == "":
-            c2, c2_pooled, ec2 = self.run_clip_raw(context, self.clip2, self.prompt, True, "lora_te2_")
-        else:
-            c2, c2_pooled, ec2 = self.run_clip_raw(context, self.clip2, self.style, True, "lora_te2_")
-
-        original_size = (self.original_height, self.original_width)
-        crop_coords = (self.crop_top, self.crop_left)
-        target_size = (self.target_height, self.target_width)
-
-        add_time_ids = torch.tensor([original_size + crop_coords + target_size])
-
-        conditioning_data = ConditioningFieldData(
-            conditionings=[
-                SDXLConditioningInfo(
-                    embeds=torch.cat([c1, c2], dim=-1),
-                    pooled_embeds=c2_pooled,
-                    add_time_ids=add_time_ids,
-                    extra_conditioning=ec1,
-                )
-            ]
-        )
-
-        conditioning_name = f"{context.graph_execution_state_id}_{self.id}_conditioning"
-        context.services.latents.save(conditioning_name, conditioning_data)
-
-        return CompelOutput(
-            conditioning=ConditioningField(
-                conditioning_name=conditioning_name,
-            ),
-        )
-
-
-class SDXLRefinerRawPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
-    """Parse prompt using compel package to conditioning."""
-
-    type: Literal["sdxl_refiner_raw_prompt"] = "sdxl_refiner_raw_prompt"
-
-    style: str = Field(default="", description="Style prompt")  # TODO: ?
-    original_width: int = Field(1024, description="")
-    original_height: int = Field(1024, description="")
-    crop_top: int = Field(0, description="")
-    crop_left: int = Field(0, description="")
-    aesthetic_score: float = Field(6.0, description="")
-    clip2: ClipField = Field(None, description="Clip to use")
-
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "SDXL Refiner Prompt (Raw)",
-                "tags": ["prompt", "compel"],
-                "type_hints": {"model": "model"},
-            },
-        }
-
-    @torch.no_grad()
-    def invoke(self, context: InvocationContext) -> CompelOutput:
-        # TODO: if there will appear lora for refiner - write proper prefix
-        c2, c2_pooled, ec2 = self.run_clip_raw(context, self.clip2, self.style, True, "<NONE>")
+        c2, c2_pooled, ec2 = self.run_clip_compel(context, self.clip2, self.style, True, "<NONE>", zero_on_empty=False)
 
         original_size = (self.original_height, self.original_width)
         crop_coords = (self.crop_top, self.crop_left)
diff --git a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
index b906719923..4ff8c5abc7 100644
--- a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
+++ b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
@@ -386,8 +386,7 @@ class InvokeAIDiffuserComponent:
         self,
         x: torch.Tensor,
         sigma,
-        unconditioning: torch.Tensor,
-        conditioning: torch.Tensor,
+        conditioning_data,
         **kwargs,
     ):
         # low-memory sequential path
@@ -444,8 +443,7 @@ class InvokeAIDiffuserComponent:
         self,
         x: torch.Tensor,
         sigma,
-        unconditioning,
-        conditioning,
+        conditioning_data,
         cross_attention_control_types_to_do,
         **kwargs,
     ):

From 2539e26c18e8ff156e5f6722be3d71f5c00812de Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Mon, 7 Aug 2023 19:57:11 +0300
Subject: [PATCH 101/287] Apply denoising_start/end, add torch-sdp to memory
 effictiend attention func

---
 invokeai/app/invocations/compel.py            |  2 -
 invokeai/app/invocations/latent.py            | 64 ++++++++++++++----
 .../stable_diffusion/diffusers_pipeline.py    | 67 ++++++++++---------
 3 files changed, 88 insertions(+), 45 deletions(-)

diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index 7fd101a3a0..41be7f7138 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -320,8 +320,6 @@ class SDXLCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
         else:
             c2, c2_pooled, ec2 = self.run_clip_compel(context, self.clip2, self.style, True, "lora_te2_", zero_on_empty=True)
 
-        print(f"{c1.shape=} {c2.shape=} {c2_pooled.shape=} {self.prompt=}")
-
         original_size = (self.original_height, self.original_width)
         crop_coords = (self.crop_top, self.crop_left)
         target_size = (self.target_height, self.target_width)
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index a63f98de24..fef3bcbf6f 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -122,6 +122,7 @@ class TextToLatentsInvocation(BaseInvocation):
     scheduler: SAMPLER_NAME_VALUES = Field(default="euler", description="The scheduler to use" )
     unet: UNetField = Field(default=None, description="UNet submodel")
     control: Union[ControlField, list[ControlField]] = Field(default=None, description="The control to use")
+    denoising_end: float = Field(default=1.0, ge=0, le=1, description="")
     # seamless:   bool = Field(default=False, description="Whether or not to generate an image that can tile without seams", )
     # seamless_axes: str = Field(default="", description="The axes to tile the image on, 'x' and/or 'y'")
     # fmt: on
@@ -310,6 +311,25 @@ class TextToLatentsInvocation(BaseInvocation):
                 # MultiControlNetModel has been refactored out, just need list[ControlNetData]
         return control_data
 
+    def init_scheduler(self, scheduler, device, steps, denoising_start, denoising_end):
+        # apply denoising_start
+        num_inference_steps = steps
+        scheduler.set_timesteps(num_inference_steps, device=device)
+
+        t_start = int(round(denoising_start * num_inference_steps))
+        timesteps = scheduler.timesteps[t_start * scheduler.order :]
+        num_inference_steps = num_inference_steps - t_start                
+
+        # apply denoising_end
+        num_warmup_steps = max(len(timesteps) - num_inference_steps * scheduler.order, 0)
+
+        skipped_final_steps = int(round((1 - denoising_end) * steps))
+        num_inference_steps = num_inference_steps - skipped_final_steps
+        timesteps = timesteps[: num_warmup_steps + scheduler.order * num_inference_steps]
+
+        return num_inference_steps, timesteps
+
+
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> LatentsOutput:
         with SilenceWarnings():
@@ -359,12 +379,21 @@ class TextToLatentsInvocation(BaseInvocation):
                     do_classifier_free_guidance=True,
                     exit_stack=exit_stack,
                 )
+                
+                num_inference_steps, timesteps = self.init_scheduler(
+                    scheduler,
+                    device=unet.device,
+                    steps=self.steps,
+                    denoising_start=0.0,
+                    denoising_end=self.denoising_end,
+                )
 
                 # TODO: Verify the noise is the right size
                 result_latents, result_attention_map_saver = pipeline.latents_from_embeddings(
                     latents=torch.zeros_like(noise, dtype=torch_dtype(unet.device)),
                     noise=noise,
-                    num_inference_steps=self.steps,
+                    timesteps=timesteps,
+                    num_inference_steps=num_inference_steps,
                     conditioning_data=conditioning_data,
                     control_data=control_data,  # list[ControlNetData]
                     callback=step_callback,
@@ -385,8 +414,12 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
     type: Literal["l2l"] = "l2l"
 
     # Inputs
-    latents: Optional[LatentsField] = Field(description="The latents to use as a base image")
-    strength: float = Field(default=0.7, ge=0, le=1, description="The strength of the latents to use")
+    noise: Optional[LatentsField] = Field(description="The noise to use (test override for future optional)")
+
+    denoising_start: float = Field(default=0.0, ge=0, le=1, description="")
+    #denoising_end: float = Field(default=1.0, ge=0, le=1, description="")
+
+    latents: Optional[LatentsField] = Field(description="The latents to use as a base image")    
 
     # Schema customisation
     class Config(InvocationConfig):
@@ -405,7 +438,9 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> LatentsOutput:
         with SilenceWarnings():  # this quenches NSFW nag from diffusers
-            noise = context.services.latents.get(self.noise.latents_name)
+            noise = None
+            if self.noise is not None:
+                noise = context.services.latents.get(self.noise.latents_name)
             latent = context.services.latents.get(self.latents.latents_name)
 
             # Get the source node id (we are invoking the prepared node)
@@ -432,7 +467,8 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
             with ExitStack() as exit_stack, ModelPatcher.apply_lora_unet(
                 unet_info.context.model, _lora_loader()
             ), unet_info as unet:
-                noise = noise.to(device=unet.device, dtype=unet.dtype)
+                if noise is not None:
+                    noise = noise.to(device=unet.device, dtype=unet.dtype)
                 latent = latent.to(device=unet.device, dtype=unet.dtype)
 
                 scheduler = get_scheduler(
@@ -448,28 +484,30 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
                     model=pipeline,
                     context=context,
                     control_input=self.control,
-                    latents_shape=noise.shape,
+                    latents_shape=latent.shape,
                     # do_classifier_free_guidance=(self.cfg_scale >= 1.0))
                     do_classifier_free_guidance=True,
                     exit_stack=exit_stack,
                 )
 
                 # TODO: Verify the noise is the right size
-                initial_latents = (
-                    latent if self.strength < 1.0 else torch.zeros_like(latent, device=unet.device, dtype=latent.dtype)
-                )
+                initial_latents = latent
+                if self.denoising_start <= 0.0:
+                    initial_latents = torch.zeros_like(latent, device=unet.device, dtype=latent.dtype)
 
-                timesteps, _ = pipeline.get_img2img_timesteps(
-                    self.steps,
-                    self.strength,
+                num_inference_steps, timesteps = self.init_scheduler(
+                    scheduler,
                     device=unet.device,
+                    steps=self.steps,
+                    denoising_start=self.denoising_start,
+                    denoising_end=self.denoising_end,
                 )
 
                 result_latents, result_attention_map_saver = pipeline.latents_from_embeddings(
                     latents=initial_latents,
                     timesteps=timesteps,
                     noise=noise,
-                    num_inference_steps=self.steps,
+                    num_inference_steps=num_inference_steps,
                     conditioning_data=conditioning_data,
                     control_data=control_data,  # list[ControlNetData]
                     callback=step_callback,
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 8a7616f1f1..ed1c8deeb5 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -340,33 +340,39 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         if xformers is available, use it, otherwise use sliced attention.
         """
         config = InvokeAIAppConfig.get_config()
-        if torch.cuda.is_available() and is_xformers_available() and not config.disable_xformers:
-            self.enable_xformers_memory_efficient_attention()
+        if self.unet.device.type == "cuda":
+            if is_xformers_available() and not config.disable_xformers:
+                self.enable_xformers_memory_efficient_attention()
+                return
+            elif hasattr(torch.nn.functional, "scaled_dot_product_attention"):
+                # diffusers enable sdp automatically
+                return
+
+
+        if self.device.type == "cpu" or self.device.type == "mps":
+            mem_free = psutil.virtual_memory().free
+        elif self.device.type == "cuda":
+            mem_free, _ = torch.cuda.mem_get_info(normalize_device(self.device))
         else:
-            if self.device.type == "cpu" or self.device.type == "mps":
-                mem_free = psutil.virtual_memory().free
-            elif self.device.type == "cuda":
-                mem_free, _ = torch.cuda.mem_get_info(normalize_device(self.device))
-            else:
-                raise ValueError(f"unrecognized device {self.device}")
-            # input tensor of [1, 4, h/8, w/8]
-            # output tensor of [16, (h/8 * w/8), (h/8 * w/8)]
-            bytes_per_element_needed_for_baddbmm_duplication = latents.element_size() + 4
-            max_size_required_for_baddbmm = (
-                16
-                * latents.size(dim=2)
-                * latents.size(dim=3)
-                * latents.size(dim=2)
-                * latents.size(dim=3)
-                * bytes_per_element_needed_for_baddbmm_duplication
-            )
-            if max_size_required_for_baddbmm > (mem_free * 3.0 / 4.0):  # 3.3 / 4.0 is from old Invoke code
-                self.enable_attention_slicing(slice_size="max")
-            elif torch.backends.mps.is_available():
-                # diffusers recommends always enabling for mps
-                self.enable_attention_slicing(slice_size="max")
-            else:
-                self.disable_attention_slicing()
+            raise ValueError(f"unrecognized device {self.device}")
+        # input tensor of [1, 4, h/8, w/8]
+        # output tensor of [16, (h/8 * w/8), (h/8 * w/8)]
+        bytes_per_element_needed_for_baddbmm_duplication = latents.element_size() + 4
+        max_size_required_for_baddbmm = (
+            16
+            * latents.size(dim=2)
+            * latents.size(dim=3)
+            * latents.size(dim=2)
+            * latents.size(dim=3)
+            * bytes_per_element_needed_for_baddbmm_duplication
+        )
+        if max_size_required_for_baddbmm > (mem_free * 3.0 / 4.0):  # 3.3 / 4.0 is from old Invoke code
+            self.enable_attention_slicing(slice_size="max")
+        elif torch.backends.mps.is_available():
+            # diffusers recommends always enabling for mps
+            self.enable_attention_slicing(slice_size="max")
+        else:
+            self.disable_attention_slicing()
 
     def to(self, torch_device: Optional[Union[str, torch.device]] = None, silence_dtype_warnings=False):
         # overridden method; types match the superclass.
@@ -398,7 +404,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         num_inference_steps: int,
         conditioning_data: ConditioningData,
         *,
-        noise: torch.Tensor,
+        noise: Optional[torch.Tensor],
         timesteps=None,
         additional_guidance: List[Callable] = None,
         run_id=None,
@@ -434,7 +440,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         timesteps,
         conditioning_data: ConditioningData,
         *,
-        noise: torch.Tensor,
+        noise: Optional[torch.Tensor],
         run_id: str = None,
         additional_guidance: List[Callable] = None,
         control_data: List[ControlNetData] = None,
@@ -457,8 +463,9 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 dtype=timesteps.dtype,
                 device=self._model_group.device_for(self.unet),
             )
-            #latents = noise * self.scheduler.init_noise_sigma # it's like in t2l according to diffusers
-            latents = self.scheduler.add_noise(latents, noise, batched_t)
+            if noise is not None:
+                #latents = noise * self.scheduler.init_noise_sigma # it's like in t2l according to diffusers
+                latents = self.scheduler.add_noise(latents, noise, batched_t)
 
             yield PipelineIntermediateState(
                 run_id=run_id,

From 1db2c93f754ca4506e6cd0a5d1eaed0c6d059095 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Mon, 7 Aug 2023 21:27:32 +0300
Subject: [PATCH 102/287] Fix preview, inpaint

---
 invokeai/app/invocations/generate.py          | 12 ++--
 invokeai/app/invocations/latent.py            | 10 ++--
 invokeai/app/util/step_callback.py            | 60 ++++++++++++++-----
 .../stable_diffusion/diffusers_pipeline.py    | 12 ----
 4 files changed, 58 insertions(+), 36 deletions(-)

diff --git a/invokeai/app/invocations/generate.py b/invokeai/app/invocations/generate.py
index d48c9f922e..1239d578d9 100644
--- a/invokeai/app/invocations/generate.py
+++ b/invokeai/app/invocations/generate.py
@@ -16,7 +16,7 @@ from ..util.step_callback import stable_diffusion_step_callback
 from .baseinvocation import BaseInvocation, InvocationConfig, InvocationContext
 from .image import ImageOutput
 
-from ...backend.model_management.lora import ModelPatcher
+from ...backend.model_management import ModelPatcher, BaseModelType
 from ...backend.stable_diffusion.diffusers_pipeline import StableDiffusionGeneratorPipeline
 from .model import UNetField, VaeField
 from .compel import ConditioningField
@@ -140,6 +140,7 @@ class InpaintInvocation(BaseInvocation):
         self,
         context: InvocationContext,
         source_node_id: str,
+        base_model: BaseModelType,
         intermediate_state: PipelineIntermediateState,
     ) -> None:
         stable_diffusion_step_callback(
@@ -147,15 +148,16 @@ class InpaintInvocation(BaseInvocation):
             intermediate_state=intermediate_state,
             node=self.dict(),
             source_node_id=source_node_id,
+            base_model=base_model,
         )
 
     def get_conditioning(self, context, unet):
         positive_cond_data = context.services.latents.get(self.positive_conditioning.conditioning_name)
-        c = positive_cond_data.conditionings[0].embeds.to(device=unet.device, dtype=unet.dtype)
-        extra_conditioning_info = positive_cond_data.conditionings[0].extra_conditioning
+        c = positive_cond_data.conditionings[0].to(device=unet.device, dtype=unet.dtype)
+        extra_conditioning_info = c.extra_conditioning
 
         negative_cond_data = context.services.latents.get(self.negative_conditioning.conditioning_name)
-        uc = negative_cond_data.conditionings[0].embeds.to(device=unet.device, dtype=unet.dtype)
+        uc = negative_cond_data.conditionings[0].to(device=unet.device, dtype=unet.dtype)
 
         return (uc, c, extra_conditioning_info)
 
@@ -225,7 +227,7 @@ class InpaintInvocation(BaseInvocation):
                 scheduler=scheduler,
                 init_image=image,
                 mask_image=mask,
-                step_callback=partial(self.dispatch_progress, context, source_node_id),
+                step_callback=partial(self.dispatch_progress, context, source_node_id, self.unet.unet.base_model),
                 **self.dict(
                     exclude={"positive_conditioning", "negative_conditioning", "scheduler", "image", "mask"}
                 ),  # Shorthand for passing all of the parameters above manually
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index fef3bcbf6f..25e411074a 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -24,7 +24,7 @@ from ...backend.stable_diffusion.diffusers_pipeline import (
 )
 from ...backend.stable_diffusion.diffusion.shared_invokeai_diffusion import PostprocessingSettings
 from ...backend.stable_diffusion.schedulers import SCHEDULER_MAP
-from ...backend.model_management import ModelPatcher
+from ...backend.model_management import ModelPatcher, BaseModelType
 from ...backend.util.devices import choose_torch_device, torch_dtype, choose_precision
 from ..models.image import ImageCategory, ImageField, ResourceOrigin
 from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext
@@ -160,12 +160,14 @@ class TextToLatentsInvocation(BaseInvocation):
         context: InvocationContext,
         source_node_id: str,
         intermediate_state: PipelineIntermediateState,
+        base_model: BaseModelType,
     ) -> None:
         stable_diffusion_step_callback(
             context=context,
             intermediate_state=intermediate_state,
             node=self.dict(),
             source_node_id=source_node_id,
+            base_model=base_model,
         )
 
     def get_conditioning_data(
@@ -340,7 +342,7 @@ class TextToLatentsInvocation(BaseInvocation):
             source_node_id = graph_execution_state.prepared_source_mapping[self.id]
 
             def step_callback(state: PipelineIntermediateState):
-                self.dispatch_progress(context, source_node_id, state)
+                self.dispatch_progress(context, source_node_id, state, self.unet.unet.base_model)
 
             def _lora_loader():
                 for lora in self.unet.loras:
@@ -379,7 +381,7 @@ class TextToLatentsInvocation(BaseInvocation):
                     do_classifier_free_guidance=True,
                     exit_stack=exit_stack,
                 )
-                
+
                 num_inference_steps, timesteps = self.init_scheduler(
                     scheduler,
                     device=unet.device,
@@ -448,7 +450,7 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
             source_node_id = graph_execution_state.prepared_source_mapping[self.id]
 
             def step_callback(state: PipelineIntermediateState):
-                self.dispatch_progress(context, source_node_id, state)
+                self.dispatch_progress(context, source_node_id, state, self.unet.unet.base_model)
 
             def _lora_loader():
                 for lora in self.unet.loras:
diff --git a/invokeai/app/util/step_callback.py b/invokeai/app/util/step_callback.py
index 994d83e705..aae06913fd 100644
--- a/invokeai/app/util/step_callback.py
+++ b/invokeai/app/util/step_callback.py
@@ -7,6 +7,7 @@ from ...backend.util.util import image_to_dataURL
 from ...backend.generator.base import Generator
 from ...backend.stable_diffusion import PipelineIntermediateState
 from invokeai.app.services.config import InvokeAIAppConfig
+from ...backend.model_management.models import BaseModelType
 
 
 def sample_to_lowres_estimated_image(samples, latent_rgb_factors, smooth_matrix=None):
@@ -29,6 +30,7 @@ def stable_diffusion_step_callback(
     intermediate_state: PipelineIntermediateState,
     node: dict,
     source_node_id: str,
+    base_model: BaseModelType,
 ):
     if context.services.queue.is_canceled(context.graph_execution_state_id):
         raise CanceledException
@@ -56,23 +58,51 @@ def stable_diffusion_step_callback(
 
     # TODO: only output a preview image when requested
 
-    # origingally adapted from code by @erucipe and @keturn here:
-    # https://discuss.huggingface.co/t/decoding-latents-to-rgb-without-upscaling/23204/7
+    if base_model in [BaseModelType.StableDiffusionXL, BaseModelType.StableDiffusionXLRefiner]:
+        sdxl_latent_rgb_factors = torch.tensor(
+            [
+                #   R        G        B
+                [0.3816, 0.4930, 0.5320],
+                [-0.3753, 0.1631, 0.1739],
+                [0.1770, 0.3588, -0.2048],
+                [-0.4350, -0.2644, -0.4289],
+            ],
+            dtype=sample.dtype,
+            device=sample.device,
+        )
 
-    # these updated numbers for v1.5 are from @torridgristle
-    v1_5_latent_rgb_factors = torch.tensor(
-        [
-            #    R        G        B
-            [0.3444, 0.1385, 0.0670],  # L1
-            [0.1247, 0.4027, 0.1494],  # L2
-            [-0.3192, 0.2513, 0.2103],  # L3
-            [-0.1307, -0.1874, -0.7445],  # L4
-        ],
-        dtype=sample.dtype,
-        device=sample.device,
-    )
+        sdxl_smooth_matrix = torch.tensor(
+            [
+                # [ 0.0478,  0.1285,  0.0478],
+                # [ 0.1285,  0.2948,  0.1285],
+                # [ 0.0478,  0.1285,  0.0478],
+                [0.0358, 0.0964, 0.0358],
+                [0.0964, 0.4711, 0.0964],
+                [0.0358, 0.0964, 0.0358],
+            ],
+            dtype=sample.dtype,
+            device=sample.device,
+        )
 
-    image = sample_to_lowres_estimated_image(sample, v1_5_latent_rgb_factors)
+        image = sample_to_lowres_estimated_image(sample, sdxl_latent_rgb_factors, sdxl_smooth_matrix)
+    else:
+        # origingally adapted from code by @erucipe and @keturn here:
+        # https://discuss.huggingface.co/t/decoding-latents-to-rgb-without-upscaling/23204/7
+
+        # these updated numbers for v1.5 are from @torridgristle
+        v1_5_latent_rgb_factors = torch.tensor(
+            [
+                #    R        G        B
+                [0.3444, 0.1385, 0.0670],  # L1
+                [0.1247, 0.4027, 0.1494],  # L2
+                [-0.3192, 0.2513, 0.2103],  # L3
+                [-0.1307, -0.1874, -0.7445],  # L4
+            ],
+            dtype=sample.dtype,
+            device=sample.device,
+        )
+
+        image = sample_to_lowres_estimated_image(sample, v1_5_latent_rgb_factors)
 
     (width, height) = image.size
     width *= 8
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index ed1c8deeb5..9d080e648d 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -50,7 +50,6 @@ from .offloading import FullyLoadedModelGroup, ModelGroup
 
 @dataclass
 class PipelineIntermediateState:
-    run_id: str
     step: int
     timestep: int
     latents: torch.Tensor
@@ -407,7 +406,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         noise: Optional[torch.Tensor],
         timesteps=None,
         additional_guidance: List[Callable] = None,
-        run_id=None,
         callback: Callable[[PipelineIntermediateState], None] = None,
         control_data: List[ControlNetData] = None,
     ) -> tuple[torch.Tensor, Optional[AttentionMapSaver]]:
@@ -427,7 +425,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             timesteps,
             conditioning_data,
             noise=noise,
-            run_id=run_id,
             additional_guidance=additional_guidance,
             control_data=control_data,
             callback=callback,
@@ -441,13 +438,10 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         conditioning_data: ConditioningData,
         *,
         noise: Optional[torch.Tensor],
-        run_id: str = None,
         additional_guidance: List[Callable] = None,
         control_data: List[ControlNetData] = None,
     ):
         self._adjust_memory_efficient_attention(latents)
-        if run_id is None:
-            run_id = secrets.token_urlsafe(self.ID_LENGTH)
         if additional_guidance is None:
             additional_guidance = []
         extra_conditioning_info = conditioning_data.extra
@@ -468,7 +462,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 latents = self.scheduler.add_noise(latents, noise, batched_t)
 
             yield PipelineIntermediateState(
-                run_id=run_id,
                 step=-1,
                 timestep=self.scheduler.config.num_train_timesteps,
                 latents=latents,
@@ -507,7 +500,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 #    self.invokeai_diffuser.setup_attention_map_saving(attention_map_saver)
 
                 yield PipelineIntermediateState(
-                    run_id=run_id,
                     step=i,
                     timestep=int(t),
                     latents=latents,
@@ -619,7 +611,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         conditioning_data: ConditioningData,
         *,
         callback: Callable[[PipelineIntermediateState], None] = None,
-        run_id=None,
         noise_func=None,
         seed=None,
     ) -> InvokeAIStableDiffusionPipelineOutput:
@@ -645,7 +636,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             conditioning_data,
             strength,
             noise,
-            run_id,
             callback,
         )
 
@@ -678,7 +668,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         conditioning_data: ConditioningData,
         *,
         callback: Callable[[PipelineIntermediateState], None] = None,
-        run_id=None,
         noise_func=None,
         seed=None,
     ) -> InvokeAIStableDiffusionPipelineOutput:
@@ -737,7 +726,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 noise=noise,
                 timesteps=timesteps,
                 additional_guidance=guidance,
-                run_id=run_id,
                 callback=callback,
             )
         finally:

From af044007d56a181d0878ea8d07ebb9160236b368 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 7 Aug 2023 15:19:49 -0400
Subject: [PATCH 103/287] pick correct config file for sdxl models

---
 invokeai/backend/model_management/model_manager.py | 4 +++-
 invokeai/backend/model_management/models/sdxl.py   | 6 ++++--
 2 files changed, 7 insertions(+), 3 deletions(-)

diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index 0bad714a17..961980ffd0 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -941,7 +941,9 @@ class ModelManager(object):
                                     raise DuplicateModelException(f"Model with key {model_key} added twice")
 
                                 model_path = self.relative_model_path(model_path)
-                                model_config: ModelConfigBase = model_class.probe_config(str(model_path))
+                                model_config: ModelConfigBase = model_class.probe_config(
+                                    str(model_path), model_base=cur_base_model
+                                )
                                 self.models[model_key] = model_config
                                 new_models_found = True
                             except DuplicateModelException as e:
diff --git a/invokeai/backend/model_management/models/sdxl.py b/invokeai/backend/model_management/models/sdxl.py
index 7fc3efb77c..1b5d252cb9 100644
--- a/invokeai/backend/model_management/models/sdxl.py
+++ b/invokeai/backend/model_management/models/sdxl.py
@@ -80,8 +80,10 @@ class StableDiffusionXLModel(DiffusersModel):
             raise Exception("Unkown stable diffusion 2.* model format")
 
         if ckpt_config_path is None:
-            # TO DO: implement picking
-            pass
+            # avoid circular import
+            from .stable_diffusion import _select_ckpt_config
+
+            ckpt_config_path = _select_ckpt_config(kwargs.get("model_base", BaseModelType.StableDiffusionXL), variant)
 
         return cls.create_config(
             path=path,

From 72a3e776b2ce323b1c2b04ba75288a386399e6a7 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 7 Aug 2023 15:38:22 -0400
Subject: [PATCH 104/287] fix logic error introduced in PR 4109

---
 invokeai/backend/model_management/model_manager.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index 0bad714a17..ee2e3b8076 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -546,9 +546,10 @@ class ModelManager(object):
         the combined format of the list_models() method.
         """
         models = self.list_models(base_model, model_type, model_name)
-        if len(models) > 1:
+        if len(models) >= 1:
             return models[0]
-        return None
+        else:
+            return None
 
     def list_models(
         self,

From 22f7cf063854d4cf252b31ef15d3544ba325680a Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 7 Aug 2023 16:19:57 -0400
Subject: [PATCH 105/287] add stalker's complicated but effective code for
 finding token vector length in LoRAs

---
 .../backend/model_management/model_manager.py |   2 +-
 .../backend/model_management/model_probe.py   |  35 +-----
 invokeai/backend/model_management/util.py     | 118 ++++++++++++++++++
 3 files changed, 125 insertions(+), 30 deletions(-)
 create mode 100644 invokeai/backend/model_management/util.py

diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index 0bad714a17..ea8865ede4 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -472,7 +472,7 @@ class ModelManager(object):
         if submodel_type is not None and hasattr(model_config, submodel_type):
             override_path = getattr(model_config, submodel_type)
             if override_path:
-                model_path = self.resolve_path(override_path)
+                model_path = self.resolve_model_path(override_path)
                 model_type = submodel_type
                 submodel_type = None
                 model_class = MODEL_CLASSES[base_model][model_type]
diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index 1fcb5334df..4c5d48bf9c 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -17,6 +17,7 @@ from .models import (
     SilenceWarnings,
     InvalidModelException,
 )
+from .util import lora_token_vector_length
 from .models.base import read_checkpoint_meta
 
 
@@ -315,38 +316,14 @@ class LoRACheckpointProbe(CheckpointProbeBase):
 
     def get_base_type(self) -> BaseModelType:
         checkpoint = self.checkpoint
+        token_vector_length = lora_token_vector_length(checkpoint)
 
-        # SD-2 models are very hard to probe. These probes are brittle and likely to fail in the future
-        # There are also some "SD-2 LoRAs" that have identical keys and shapes to SD-1 and will be
-        # misclassified as SD-1
-        key = "lora_te_text_model_encoder_layers_0_mlp_fc1.lora_down.weight"
-        if key in checkpoint and checkpoint[key].shape[0] == 320:
+        if token_vector_length == 768:
+            return BaseModelType.StableDiffusion1
+        elif token_vector_length == 1024:
             return BaseModelType.StableDiffusion2
-
-        key = "lora_unet_output_blocks_5_1_transformer_blocks_1_ff_net_2.lora_up.weight"
-        if key in checkpoint:
+        elif token_vector_length == 2048:  # variant w/o the text encoder!
             return BaseModelType.StableDiffusionXL
-
-        key1 = "lora_te_text_model_encoder_layers_0_mlp_fc1.lora_down.weight"
-        key2 = "lora_te_text_model_encoder_layers_0_self_attn_k_proj.lora_down.weight"
-        key3 = "lora_te_text_model_encoder_layers_0_self_attn_k_proj.hada_w1_a"
-
-        lora_token_vector_length = (
-            checkpoint[key1].shape[1]
-            if key1 in checkpoint
-            else checkpoint[key2].shape[1]
-            if key2 in checkpoint
-            else checkpoint[key3].shape[0]
-            if key3 in checkpoint
-            else None
-        )
-
-        if lora_token_vector_length == 768:
-            return BaseModelType.StableDiffusion1
-        elif lora_token_vector_length == 1024:
-            return BaseModelType.StableDiffusion2
-        elif lora_token_vector_length is None:  # variant w/o the text encoder!
-            return BaseModelType.StableDiffusion1
         else:
             raise InvalidModelException(f"Unknown LoRA type")
 
diff --git a/invokeai/backend/model_management/util.py b/invokeai/backend/model_management/util.py
new file mode 100644
index 0000000000..ece9c96d4c
--- /dev/null
+++ b/invokeai/backend/model_management/util.py
@@ -0,0 +1,118 @@
+# Copyright (c) 2023 The InvokeAI Development Team
+"""Utilities used by the Model Manager"""
+
+
+def lora_token_vector_length(checkpoint: dict) -> int:
+    """
+    Given a checkpoint in memory, return the lora token vector length
+
+    :param checkpoint: The checkpoint
+    """
+
+    def _handle_unet_key(key, tensor, checkpoint):
+        lora_token_vector_length = None
+        if "_attn2_to_k." not in key and "_attn2_to_v." not in key:
+            return lora_token_vector_length
+
+        # check lora/locon
+        if ".lora_up.weight" in key:
+            lora_token_vector_length = tensor.shape[0]
+        elif ".lora_down.weight" in key:
+            lora_token_vector_length = tensor.shape[1]
+
+        # check loha (don't worry about hada_t1/hada_t2 as it used only in 4d shapes)
+        elif ".hada_w1_b" in key or ".hada_w2_b" in key:
+            lora_token_vector_length = tensor.shape[1]
+
+        # check lokr (don't worry about lokr_t2 as it used only in 4d shapes)
+        elif ".lokr_" in key:
+            _lokr_key = key.split(".")[0]
+
+            if _lokr_key + ".lokr_w1" in checkpoint:
+                _lokr_w1 = checkpoint[_lokr_key + ".lokr_w1"]
+            elif _lokr_key + "lokr_w1_b" in checkpoint:
+                _lokr_w1 = checkpoint[_lokr_key + ".lokr_w1_b"]
+            else:
+                return lora_token_vector_length  # unknown format
+
+            if _lokr_key + ".lokr_w2" in checkpoint:
+                _lokr_w2 = checkpoint[_lokr_key + ".lokr_w2"]
+            elif _lokr_key + "lokr_w2_b" in checkpoint:
+                _lokr_w2 = checkpoint[_lokr_key + ".lokr_w2_b"]
+            else:
+                return lora_token_vector_length  # unknown format
+
+            lora_token_vector_length = _lokr_w1.shape[1] * _lokr_w2.shape[1]
+
+        elif ".diff" in key:
+            lora_token_vector_length = tensor.shape[1]
+
+        return lora_token_vector_length
+
+    def _handle_te_key(key, tensor, checkpoint):
+        lora_token_vector_length = None
+        if "text_model_encoder_layers_" not in key:
+            return lora_token_vector_length
+
+        # skip detect by mlp
+        if "_self_attn_" not in key:
+            return lora_token_vector_length
+
+        # check lora/locon
+        if ".lora_up.weight" in key:
+            lora_token_vector_length = tensor.shape[0]
+        elif ".lora_down.weight" in key:
+            lora_token_vector_length = tensor.shape[1]
+
+        # check loha (don't worry about hada_t1/hada_t2 as it used only in 4d shapes)
+        elif ".hada_w1_a" in key or ".hada_w2_a" in key:
+            lora_token_vector_length = tensor.shape[0]
+        elif ".hada_w1_b" in key or ".hada_w2_b" in key:
+            lora_token_vector_length = tensor.shape[1]
+
+        # check lokr (don't worry about lokr_t2 as it used only in 4d shapes)
+        elif ".lokr_" in key:
+            _lokr_key = key.split(".")[0]
+
+            if _lokr_key + ".lokr_w1" in checkpoint:
+                _lokr_w1 = checkpoint[_lokr_key + ".lokr_w1"]
+            elif _lokr_key + "lokr_w1_b" in checkpoint:
+                _lokr_w1 = checkpoint[_lokr_key + ".lokr_w1_b"]
+            else:
+                return lora_token_vector_length  # unknown format
+
+            if _lokr_key + ".lokr_w2" in checkpoint:
+                _lokr_w2 = checkpoint[_lokr_key + ".lokr_w2"]
+            elif _lokr_key + "lokr_w2_b" in checkpoint:
+                _lokr_w2 = checkpoint[_lokr_key + ".lokr_w2_b"]
+            else:
+                return lora_token_vector_length  # unknown format
+
+            lora_token_vector_length = _lokr_w1.shape[1] * _lokr_w2.shape[1]
+
+        elif ".diff" in key:
+            lora_token_vector_length = tensor.shape[1]
+
+        return lora_token_vector_length
+
+    lora_token_vector_length = None
+    lora_te1_length = None
+    lora_te2_length = None
+    for key, tensor in checkpoint.items():
+        if key.startswith("lora_unet_"):
+            lora_token_vector_length = _handle_unet_key(key, tensor, checkpoint)
+        elif key.startswith("lora_te_"):
+            lora_token_vector_length = _handle_te_key(key, tensor, checkpoint)
+
+        elif key.startswith("lora_te1_"):
+            lora_te1_length = _handle_te_key(key, tensor, checkpoint)
+        elif key.startswith("lora_te2_"):
+            lora_te2_length = _handle_te_key(key, tensor, checkpoint)
+
+        if lora_te1_length is not None and lora_te2_length is not None:
+            lora_token_vector_length = lora_te1_length + lora_te2_length
+
+        if lora_token_vector_length is not None:
+            break
+
+    return lora_token_vector_length

From a846d82fa1e0de8525088db40f847379d07777f6 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 7 Aug 2023 16:29:46 -0400
Subject: [PATCH 106/287] Add techedi code to avoid rendering prompt/seed with
 null

- Added techjedi github and real names
---
 invokeai/frontend/install/import_images.py | 39 ++++++++++++----------
 1 file changed, 22 insertions(+), 17 deletions(-)

diff --git a/invokeai/frontend/install/import_images.py b/invokeai/frontend/install/import_images.py
index befef58744..ea5a9d2d97 100644
--- a/invokeai/frontend/install/import_images.py
+++ b/invokeai/frontend/install/import_images.py
@@ -1,12 +1,12 @@
 # Copyright (c) 2023 - The InvokeAI Team
-# Author: techjedi
+# Primary Author: David Lovell (github @f412design, discord @techedi)
+# co-author, minor tweaks - Lincoln Stein
 
 # pylint: disable=line-too-long
 # pylint: disable=broad-exception-caught
 """Script to import images into the new database system for 3.0.0"""
 
 import os
-import platform
 import datetime
 import shutil
 import locale
@@ -24,12 +24,19 @@ from pathlib import Path
 from prompt_toolkit import prompt
 from prompt_toolkit.shortcuts import message_dialog
 from prompt_toolkit.completion import PathCompleter
+from prompt_toolkit.key_binding import KeyBindings
 
 from invokeai.app.services.config import InvokeAIAppConfig
 
 app_config = InvokeAIAppConfig.get_config()
-path_delimiter = "\\" if platform.uname().system == "Windows" else "/"
-print(path_delimiter)
+
+bindings = KeyBindings()
+
+
+@bindings.add("c-c")
+def _(event):
+    raise KeyboardInterrupt
+
 
 # release notes
 # "Use All" with size dimensions not selectable in the UI will not load dimensions
@@ -116,11 +123,7 @@ class Config:
             )
             if database_path.endswith(".db") and os.path.isabs(database_path) and os.path.exists(database_path):
                 break
-            default = (
-                database_path + path_delimiter
-                if Path(database_path).is_dir() and not database_path.endswith(("\\", "/"))
-                else database_path
-            )
+            default = database_path + "/" if Path(database_path).is_dir() else database_path
 
         default = ""
         while True:
@@ -134,11 +137,7 @@ class Config:
 
             if outputs_path.endswith("images") and os.path.isabs(outputs_path) and os.path.exists(outputs_path):
                 break
-            default = (
-                outputs_path + path_delimiter
-                if Path(outputs_path).is_dir() and not database_path.endswith(("\\", "/"))
-                else outputs_path
-            )
+            default = outputs_path + "/" if Path(outputs_path).is_dir() else outputs_path
 
         self.database_path = database_path
         self.outputs_path = outputs_path
@@ -217,11 +216,17 @@ class InvokeAIMetadata:
         """Convert the active instance to json format."""
         prop_dict = {}
         prop_dict["generation_mode"] = self.generation_mode
-        prop_dict["positive_prompt"] = self.positive_prompt
-        prop_dict["negative_prompt"] = self.negative_prompt
+        # dont render prompt nodes if neither are set to avoid the ui thinking it can set them
+        # if at least one exists, render them both, but use empty string instead of None if one of them is empty
+        # this allows the field that is empty to actually be cleared byt he UI instead of leaving the previous value
+        if self.positive_prompt or self.negative_prompt:
+            prop_dict["positive_prompt"] = "" if self.positive_prompt is None else self.positive_prompt
+            prop_dict["negative_prompt"] = "" if self.negative_prompt is None else self.negative_prompt
         prop_dict["width"] = self.width
         prop_dict["height"] = self.height
-        prop_dict["seed"] = self.seed
+        # only render seed if it has a value to avoid ui thinking it can set this and then error
+        if self.seed:
+            prop_dict["seed"] = self.seed
         prop_dict["rand_device"] = self.rand_device
         prop_dict["cfg_scale"] = self.cfg_scale
         prop_dict["steps"] = self.steps

From f0918edf98b29066280f8192a53f61874fb4fd0b Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 7 Aug 2023 16:38:58 -0400
Subject: [PATCH 107/287] improve error reporting on unrecognized lora models

---
 invokeai/backend/model_management/model_probe.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index 4c5d48bf9c..145c56c273 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -322,10 +322,10 @@ class LoRACheckpointProbe(CheckpointProbeBase):
             return BaseModelType.StableDiffusion1
         elif token_vector_length == 1024:
             return BaseModelType.StableDiffusion2
-        elif token_vector_length == 2048:  # variant w/o the text encoder!
+        elif token_vector_length == 2048:
             return BaseModelType.StableDiffusionXL
         else:
-            raise InvalidModelException(f"Unknown LoRA type")
+            raise InvalidModelException(f"Unknown LoRA type: {self.checkpoint_path}")
 
 
 class TextualInversionCheckpointProbe(CheckpointProbeBase):

From 809705c30d2e1ef99a66b377aa1462b7791c650e Mon Sep 17 00:00:00 2001
From: Kevin Turner <83819+keturn@users.noreply.github.com>
Date: Mon, 7 Aug 2023 15:11:47 -0700
Subject: [PATCH 108/287] api(images): allow HEAD request on image/full

---
 invokeai/app/api/routers/images.py | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/invokeai/app/api/routers/images.py b/invokeai/app/api/routers/images.py
index aff409e9e5..21fd09e051 100644
--- a/invokeai/app/api/routers/images.py
+++ b/invokeai/app/api/routers/images.py
@@ -1,22 +1,20 @@
 import io
 from typing import Optional
 
+from PIL import Image
 from fastapi import Body, HTTPException, Path, Query, Request, Response, UploadFile
 from fastapi.responses import FileResponse
 from fastapi.routing import APIRouter
-from PIL import Image
-from pydantic import BaseModel, Field
+from pydantic import BaseModel
 
 from invokeai.app.invocations.metadata import ImageMetadata
 from invokeai.app.models.image import ImageCategory, ResourceOrigin
 from invokeai.app.services.image_record_storage import OffsetPaginatedResults
-from invokeai.app.services.item_storage import PaginatedResults
 from invokeai.app.services.models.image_record import (
     ImageDTO,
     ImageRecordChanges,
     ImageUrlsDTO,
 )
-
 from ..dependencies import ApiDependencies
 
 images_router = APIRouter(prefix="/v1/images", tags=["images"])
@@ -152,8 +150,9 @@ async def get_image_metadata(
         raise HTTPException(status_code=404)
 
 
-@images_router.get(
+@images_router.api_route(
     "/i/{image_name}/full",
+    methods=["GET", "HEAD"],
     operation_id="get_image_full",
     response_class=Response,
     responses={

From 492bfe002a092e7ec3a5c892ddbb5e84213cdf81 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Tue, 8 Aug 2023 03:38:42 +0300
Subject: [PATCH 109/287] Remove sdxl t2l/l2l nodes

---
 invokeai/app/invocations/sdxl.py | 536 +------------------------------
 1 file changed, 3 insertions(+), 533 deletions(-)

diff --git a/invokeai/app/invocations/sdxl.py b/invokeai/app/invocations/sdxl.py
index 5bcd85db28..a5a1c2c641 100644
--- a/invokeai/app/invocations/sdxl.py
+++ b/invokeai/app/invocations/sdxl.py
@@ -1,17 +1,10 @@
 import torch
-import inspect
-from tqdm import tqdm
-from typing import List, Literal, Optional, Union
+from typing import Literal
+from pydantic import Field
 
-from pydantic import Field, validator
-
-from ...backend.model_management import ModelType, SubModelType, ModelPatcher
-from invokeai.app.util.step_callback import stable_diffusion_xl_step_callback
+from ...backend.model_management import ModelType, SubModelType
 from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext
-
 from .model import UNetField, ClipField, VaeField, MainModelField, ModelInfo
-from .compel import ConditioningField
-from .latent import LatentsField, SAMPLER_NAME_VALUES, LatentsOutput, get_scheduler, build_latents_output
 
 
 class SDXLModelLoaderOutput(BaseInvocationOutput):
@@ -201,526 +194,3 @@ class SDXLRefinerModelLoaderInvocation(BaseInvocation):
                 ),
             ),
         )
-
-
-# Text to image
-class SDXLTextToLatentsInvocation(BaseInvocation):
-    """Generates latents from conditionings."""
-
-    type: Literal["t2l_sdxl"] = "t2l_sdxl"
-
-    # Inputs
-    # fmt: off
-    positive_conditioning: Optional[ConditioningField] = Field(description="Positive conditioning for generation")
-    negative_conditioning: Optional[ConditioningField] = Field(description="Negative conditioning for generation")
-    noise: Optional[LatentsField] = Field(description="The noise to use")
-    steps:       int = Field(default=10, gt=0, description="The number of steps to use to generate the image")
-    cfg_scale: Union[float, List[float]] = Field(default=7.5, ge=1, description="The Classifier-Free Guidance, higher values may result in a result closer to the prompt", )
-    scheduler: SAMPLER_NAME_VALUES = Field(default="euler", description="The scheduler to use" )
-    unet: UNetField = Field(default=None, description="UNet submodel")
-    denoising_end: float = Field(default=1.0, gt=0, le=1, description="")
-    # control: Union[ControlField, list[ControlField]] = Field(default=None, description="The control to use")
-    # seamless:   bool = Field(default=False, description="Whether or not to generate an image that can tile without seams", )
-    # seamless_axes: str = Field(default="", description="The axes to tile the image on, 'x' and/or 'y'")
-    # fmt: on
-
-    @validator("cfg_scale")
-    def ge_one(cls, v):
-        """validate that all cfg_scale values are >= 1"""
-        if isinstance(v, list):
-            for i in v:
-                if i < 1:
-                    raise ValueError("cfg_scale must be greater than 1")
-        else:
-            if v < 1:
-                raise ValueError("cfg_scale must be greater than 1")
-        return v
-
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "SDXL Text To Latents",
-                "tags": ["latents"],
-                "type_hints": {
-                    "model": "model",
-                    # "cfg_scale": "float",
-                    "cfg_scale": "number",
-                },
-            },
-        }
-
-    def dispatch_progress(
-        self,
-        context: InvocationContext,
-        source_node_id: str,
-        sample,
-        step,
-        total_steps,
-    ) -> None:
-        stable_diffusion_xl_step_callback(
-            context=context,
-            node=self.dict(),
-            source_node_id=source_node_id,
-            sample=sample,
-            step=step,
-            total_steps=total_steps,
-        )
-
-    # based on
-    # https://github.com/huggingface/diffusers/blob/3ebbaf7c96801271f9e6c21400033b6aa5ffcf29/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion.py#L375
-    @torch.no_grad()
-    def invoke(self, context: InvocationContext) -> LatentsOutput:
-        graph_execution_state = context.services.graph_execution_manager.get(context.graph_execution_state_id)
-        source_node_id = graph_execution_state.prepared_source_mapping[self.id]
-        latents = context.services.latents.get(self.noise.latents_name)
-
-        positive_cond_data = context.services.latents.get(self.positive_conditioning.conditioning_name)
-        prompt_embeds = positive_cond_data.conditionings[0].embeds
-        pooled_prompt_embeds = positive_cond_data.conditionings[0].pooled_embeds
-        add_time_ids = positive_cond_data.conditionings[0].add_time_ids
-
-        negative_cond_data = context.services.latents.get(self.negative_conditioning.conditioning_name)
-        negative_prompt_embeds = negative_cond_data.conditionings[0].embeds
-        negative_pooled_prompt_embeds = negative_cond_data.conditionings[0].pooled_embeds
-        add_neg_time_ids = negative_cond_data.conditionings[0].add_time_ids
-
-        scheduler = get_scheduler(
-            context=context,
-            scheduler_info=self.unet.scheduler,
-            scheduler_name=self.scheduler,
-        )
-
-        num_inference_steps = self.steps
-
-        def _lora_loader():
-            for lora in self.unet.loras:
-                lora_info = context.services.model_manager.get_model(
-                    **lora.dict(exclude={"weight"}),
-                    context=context,
-                )
-                yield (lora_info.context.model, lora.weight)
-                del lora_info
-            return
-
-        unet_info = context.services.model_manager.get_model(**self.unet.unet.dict(), context=context)
-        do_classifier_free_guidance = True
-        cross_attention_kwargs = None
-        with ModelPatcher.apply_lora_unet(unet_info.context.model, _lora_loader()), unet_info as unet:
-            scheduler.set_timesteps(num_inference_steps, device=unet.device)
-            timesteps = scheduler.timesteps
-
-            latents = latents.to(device=unet.device, dtype=unet.dtype) * scheduler.init_noise_sigma
-
-            extra_step_kwargs = dict()
-            if "eta" in set(inspect.signature(scheduler.step).parameters.keys()):
-                extra_step_kwargs.update(
-                    eta=0.0,
-                )
-            if "generator" in set(inspect.signature(scheduler.step).parameters.keys()):
-                extra_step_kwargs.update(
-                    generator=torch.Generator(device=unet.device).manual_seed(0),
-                )
-
-            num_warmup_steps = len(timesteps) - self.steps * scheduler.order
-
-            # apply denoising_end
-            skipped_final_steps = int(round((1 - self.denoising_end) * self.steps))
-            num_inference_steps = num_inference_steps - skipped_final_steps
-            timesteps = timesteps[: num_warmup_steps + scheduler.order * num_inference_steps]
-
-            if not context.services.configuration.sequential_guidance:
-                prompt_embeds = torch.cat([negative_prompt_embeds, prompt_embeds], dim=0)
-                add_text_embeds = torch.cat([negative_pooled_prompt_embeds, pooled_prompt_embeds], dim=0)
-                add_time_ids = torch.cat([add_neg_time_ids, add_time_ids], dim=0)
-
-                prompt_embeds = prompt_embeds.to(device=unet.device, dtype=unet.dtype)
-                add_text_embeds = add_text_embeds.to(device=unet.device, dtype=unet.dtype)
-                add_time_ids = add_time_ids.to(device=unet.device, dtype=unet.dtype)
-                latents = latents.to(device=unet.device, dtype=unet.dtype)
-
-                with tqdm(total=num_inference_steps) as progress_bar:
-                    for i, t in enumerate(timesteps):
-                        # expand the latents if we are doing classifier free guidance
-                        latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents
-
-                        latent_model_input = scheduler.scale_model_input(latent_model_input, t)
-
-                        # predict the noise residual
-                        added_cond_kwargs = {"text_embeds": add_text_embeds, "time_ids": add_time_ids}
-                        noise_pred = unet(
-                            latent_model_input,
-                            t,
-                            encoder_hidden_states=prompt_embeds,
-                            cross_attention_kwargs=cross_attention_kwargs,
-                            added_cond_kwargs=added_cond_kwargs,
-                            return_dict=False,
-                        )[0]
-
-                        # perform guidance
-                        if do_classifier_free_guidance:
-                            noise_pred_uncond, noise_pred_text = noise_pred.chunk(2)
-                            noise_pred = noise_pred_uncond + self.cfg_scale * (noise_pred_text - noise_pred_uncond)
-                            # del noise_pred_uncond
-                            # del noise_pred_text
-
-                        # if do_classifier_free_guidance and guidance_rescale > 0.0:
-                        #    # Based on 3.4. in https://arxiv.org/pdf/2305.08891.pdf
-                        #    noise_pred = rescale_noise_cfg(noise_pred, noise_pred_text, guidance_rescale=guidance_rescale)
-
-                        # compute the previous noisy sample x_t -> x_t-1
-                        latents = scheduler.step(noise_pred, t, latents, **extra_step_kwargs, return_dict=False)[0]
-
-                        # call the callback, if provided
-                        if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % scheduler.order == 0):
-                            progress_bar.update()
-                            self.dispatch_progress(context, source_node_id, latents, i, num_inference_steps)
-                            # if callback is not None and i % callback_steps == 0:
-                            #    callback(i, t, latents)
-            else:
-                negative_pooled_prompt_embeds = negative_pooled_prompt_embeds.to(device=unet.device, dtype=unet.dtype)
-                negative_prompt_embeds = negative_prompt_embeds.to(device=unet.device, dtype=unet.dtype)
-                add_neg_time_ids = add_neg_time_ids.to(device=unet.device, dtype=unet.dtype)
-                pooled_prompt_embeds = pooled_prompt_embeds.to(device=unet.device, dtype=unet.dtype)
-                prompt_embeds = prompt_embeds.to(device=unet.device, dtype=unet.dtype)
-                add_time_ids = add_time_ids.to(device=unet.device, dtype=unet.dtype)
-                latents = latents.to(device=unet.device, dtype=unet.dtype)
-
-                with tqdm(total=num_inference_steps) as progress_bar:
-                    for i, t in enumerate(timesteps):
-                        # expand the latents if we are doing classifier free guidance
-                        # latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents
-
-                        latent_model_input = scheduler.scale_model_input(latents, t)
-
-                        # import gc
-                        # gc.collect()
-                        # torch.cuda.empty_cache()
-
-                        # predict the noise residual
-
-                        added_cond_kwargs = {"text_embeds": negative_pooled_prompt_embeds, "time_ids": add_neg_time_ids}
-                        noise_pred_uncond = unet(
-                            latent_model_input,
-                            t,
-                            encoder_hidden_states=negative_prompt_embeds,
-                            cross_attention_kwargs=cross_attention_kwargs,
-                            added_cond_kwargs=added_cond_kwargs,
-                            return_dict=False,
-                        )[0]
-
-                        added_cond_kwargs = {"text_embeds": pooled_prompt_embeds, "time_ids": add_time_ids}
-                        noise_pred_text = unet(
-                            latent_model_input,
-                            t,
-                            encoder_hidden_states=prompt_embeds,
-                            cross_attention_kwargs=cross_attention_kwargs,
-                            added_cond_kwargs=added_cond_kwargs,
-                            return_dict=False,
-                        )[0]
-
-                        # perform guidance
-                        noise_pred = noise_pred_uncond + self.cfg_scale * (noise_pred_text - noise_pred_uncond)
-
-                        # del noise_pred_text
-                        # del noise_pred_uncond
-                        # import gc
-                        # gc.collect()
-                        # torch.cuda.empty_cache()
-
-                        # if do_classifier_free_guidance and guidance_rescale > 0.0:
-                        #    # Based on 3.4. in https://arxiv.org/pdf/2305.08891.pdf
-                        #    noise_pred = rescale_noise_cfg(noise_pred, noise_pred_text, guidance_rescale=guidance_rescale)
-
-                        # compute the previous noisy sample x_t -> x_t-1
-                        latents = scheduler.step(noise_pred, t, latents, **extra_step_kwargs, return_dict=False)[0]
-
-                        # del noise_pred
-                        # import gc
-                        # gc.collect()
-                        # torch.cuda.empty_cache()
-
-                        # call the callback, if provided
-                        if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % scheduler.order == 0):
-                            progress_bar.update()
-                            self.dispatch_progress(context, source_node_id, latents, i, num_inference_steps)
-                            # if callback is not None and i % callback_steps == 0:
-                            #    callback(i, t, latents)
-
-        #################
-
-        latents = latents.to("cpu")
-        torch.cuda.empty_cache()
-
-        name = f"{context.graph_execution_state_id}__{self.id}"
-        context.services.latents.save(name, latents)
-        return build_latents_output(latents_name=name, latents=latents)
-
-
-class SDXLLatentsToLatentsInvocation(BaseInvocation):
-    """Generates latents from conditionings."""
-
-    type: Literal["l2l_sdxl"] = "l2l_sdxl"
-
-    # Inputs
-    # fmt: off
-    positive_conditioning: Optional[ConditioningField] = Field(description="Positive conditioning for generation")
-    negative_conditioning: Optional[ConditioningField] = Field(description="Negative conditioning for generation")
-    noise: Optional[LatentsField] = Field(description="The noise to use")
-    steps:       int = Field(default=10, gt=0, description="The number of steps to use to generate the image")
-    cfg_scale: Union[float, List[float]] = Field(default=7.5, ge=1, description="The Classifier-Free Guidance, higher values may result in a result closer to the prompt", )
-    scheduler: SAMPLER_NAME_VALUES = Field(default="euler", description="The scheduler to use" )
-    unet: UNetField = Field(default=None, description="UNet submodel")
-    latents: Optional[LatentsField] = Field(description="Initial latents")
-
-    denoising_start: float = Field(default=0.0, ge=0, le=1, description="")
-    denoising_end: float = Field(default=1.0, ge=0, le=1, description="")
-
-    # control: Union[ControlField, list[ControlField]] = Field(default=None, description="The control to use")
-    # seamless:   bool = Field(default=False, description="Whether or not to generate an image that can tile without seams", )
-    # seamless_axes: str = Field(default="", description="The axes to tile the image on, 'x' and/or 'y'")
-    # fmt: on
-
-    @validator("cfg_scale")
-    def ge_one(cls, v):
-        """validate that all cfg_scale values are >= 1"""
-        if isinstance(v, list):
-            for i in v:
-                if i < 1:
-                    raise ValueError("cfg_scale must be greater than 1")
-        else:
-            if v < 1:
-                raise ValueError("cfg_scale must be greater than 1")
-        return v
-
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "SDXL Latents to Latents",
-                "tags": ["latents"],
-                "type_hints": {
-                    "model": "model",
-                    # "cfg_scale": "float",
-                    "cfg_scale": "number",
-                },
-            },
-        }
-
-    def dispatch_progress(
-        self,
-        context: InvocationContext,
-        source_node_id: str,
-        sample,
-        step,
-        total_steps,
-    ) -> None:
-        stable_diffusion_xl_step_callback(
-            context=context,
-            node=self.dict(),
-            source_node_id=source_node_id,
-            sample=sample,
-            step=step,
-            total_steps=total_steps,
-        )
-
-    # based on
-    # https://github.com/huggingface/diffusers/blob/3ebbaf7c96801271f9e6c21400033b6aa5ffcf29/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion.py#L375
-    @torch.no_grad()
-    def invoke(self, context: InvocationContext) -> LatentsOutput:
-        graph_execution_state = context.services.graph_execution_manager.get(context.graph_execution_state_id)
-        source_node_id = graph_execution_state.prepared_source_mapping[self.id]
-        latents = context.services.latents.get(self.latents.latents_name)
-
-        positive_cond_data = context.services.latents.get(self.positive_conditioning.conditioning_name)
-        prompt_embeds = positive_cond_data.conditionings[0].embeds
-        pooled_prompt_embeds = positive_cond_data.conditionings[0].pooled_embeds
-        add_time_ids = positive_cond_data.conditionings[0].add_time_ids
-
-        negative_cond_data = context.services.latents.get(self.negative_conditioning.conditioning_name)
-        negative_prompt_embeds = negative_cond_data.conditionings[0].embeds
-        negative_pooled_prompt_embeds = negative_cond_data.conditionings[0].pooled_embeds
-        add_neg_time_ids = negative_cond_data.conditionings[0].add_time_ids
-
-        scheduler = get_scheduler(
-            context=context,
-            scheduler_info=self.unet.scheduler,
-            scheduler_name=self.scheduler,
-        )
-
-        unet_info = context.services.model_manager.get_model(
-            **self.unet.unet.dict(),
-            context=context,
-        )
-
-        def _lora_loader():
-            for lora in self.unet.loras:
-                lora_info = context.services.model_manager.get_model(
-                    **lora.dict(exclude={"weight"}),
-                    context=context,
-                )
-                yield (lora_info.context.model, lora.weight)
-                del lora_info
-            return
-
-        do_classifier_free_guidance = True
-        cross_attention_kwargs = None
-        with ModelPatcher.apply_lora_unet(unet_info.context.model, _lora_loader()), unet_info as unet:
-            # apply denoising_start
-            num_inference_steps = self.steps
-            scheduler.set_timesteps(num_inference_steps, device=unet.device)
-
-            t_start = int(round(self.denoising_start * num_inference_steps))
-            timesteps = scheduler.timesteps[t_start * scheduler.order :]
-            num_inference_steps = num_inference_steps - t_start
-
-            # apply noise(if provided)
-            if self.noise is not None and timesteps.shape[0] > 0:
-                noise = context.services.latents.get(self.noise.latents_name)
-                latents = scheduler.add_noise(latents, noise, timesteps[:1])
-                del noise
-
-            # apply scheduler extra args
-            extra_step_kwargs = dict()
-            if "eta" in set(inspect.signature(scheduler.step).parameters.keys()):
-                extra_step_kwargs.update(
-                    eta=0.0,
-                )
-            if "generator" in set(inspect.signature(scheduler.step).parameters.keys()):
-                extra_step_kwargs.update(
-                    generator=torch.Generator(device=unet.device).manual_seed(0),
-                )
-
-            num_warmup_steps = max(len(timesteps) - num_inference_steps * scheduler.order, 0)
-
-            # apply denoising_end
-            skipped_final_steps = int(round((1 - self.denoising_end) * self.steps))
-            num_inference_steps = num_inference_steps - skipped_final_steps
-            timesteps = timesteps[: num_warmup_steps + scheduler.order * num_inference_steps]
-
-            if not context.services.configuration.sequential_guidance:
-                prompt_embeds = torch.cat([negative_prompt_embeds, prompt_embeds], dim=0)
-                add_text_embeds = torch.cat([negative_pooled_prompt_embeds, pooled_prompt_embeds], dim=0)
-                add_time_ids = torch.cat([add_neg_time_ids, add_time_ids], dim=0)
-
-                prompt_embeds = prompt_embeds.to(device=unet.device, dtype=unet.dtype)
-                add_text_embeds = add_text_embeds.to(device=unet.device, dtype=unet.dtype)
-                add_time_ids = add_time_ids.to(device=unet.device, dtype=unet.dtype)
-                latents = latents.to(device=unet.device, dtype=unet.dtype)
-
-                with tqdm(total=num_inference_steps) as progress_bar:
-                    for i, t in enumerate(timesteps):
-                        # expand the latents if we are doing classifier free guidance
-                        latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents
-
-                        latent_model_input = scheduler.scale_model_input(latent_model_input, t)
-
-                        # predict the noise residual
-                        added_cond_kwargs = {"text_embeds": add_text_embeds, "time_ids": add_time_ids}
-                        noise_pred = unet(
-                            latent_model_input,
-                            t,
-                            encoder_hidden_states=prompt_embeds,
-                            cross_attention_kwargs=cross_attention_kwargs,
-                            added_cond_kwargs=added_cond_kwargs,
-                            return_dict=False,
-                        )[0]
-
-                        # perform guidance
-                        if do_classifier_free_guidance:
-                            noise_pred_uncond, noise_pred_text = noise_pred.chunk(2)
-                            noise_pred = noise_pred_uncond + self.cfg_scale * (noise_pred_text - noise_pred_uncond)
-                            # del noise_pred_uncond
-                            # del noise_pred_text
-
-                        # if do_classifier_free_guidance and guidance_rescale > 0.0:
-                        #    # Based on 3.4. in https://arxiv.org/pdf/2305.08891.pdf
-                        #    noise_pred = rescale_noise_cfg(noise_pred, noise_pred_text, guidance_rescale=guidance_rescale)
-
-                        # compute the previous noisy sample x_t -> x_t-1
-                        latents = scheduler.step(noise_pred, t, latents, **extra_step_kwargs, return_dict=False)[0]
-
-                        # call the callback, if provided
-                        if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % scheduler.order == 0):
-                            progress_bar.update()
-                            self.dispatch_progress(context, source_node_id, latents, i, num_inference_steps)
-                            # if callback is not None and i % callback_steps == 0:
-                            #    callback(i, t, latents)
-            else:
-                negative_pooled_prompt_embeds = negative_pooled_prompt_embeds.to(device=unet.device, dtype=unet.dtype)
-                negative_prompt_embeds = negative_prompt_embeds.to(device=unet.device, dtype=unet.dtype)
-                add_neg_time_ids = add_neg_time_ids.to(device=unet.device, dtype=unet.dtype)
-                pooled_prompt_embeds = pooled_prompt_embeds.to(device=unet.device, dtype=unet.dtype)
-                prompt_embeds = prompt_embeds.to(device=unet.device, dtype=unet.dtype)
-                add_time_ids = add_time_ids.to(device=unet.device, dtype=unet.dtype)
-                latents = latents.to(device=unet.device, dtype=unet.dtype)
-
-                with tqdm(total=num_inference_steps) as progress_bar:
-                    for i, t in enumerate(timesteps):
-                        # expand the latents if we are doing classifier free guidance
-                        # latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents
-
-                        latent_model_input = scheduler.scale_model_input(latents, t)
-
-                        # import gc
-                        # gc.collect()
-                        # torch.cuda.empty_cache()
-
-                        # predict the noise residual
-
-                        added_cond_kwargs = {"text_embeds": negative_pooled_prompt_embeds, "time_ids": add_time_ids}
-                        noise_pred_uncond = unet(
-                            latent_model_input,
-                            t,
-                            encoder_hidden_states=negative_prompt_embeds,
-                            cross_attention_kwargs=cross_attention_kwargs,
-                            added_cond_kwargs=added_cond_kwargs,
-                            return_dict=False,
-                        )[0]
-
-                        added_cond_kwargs = {"text_embeds": pooled_prompt_embeds, "time_ids": add_time_ids}
-                        noise_pred_text = unet(
-                            latent_model_input,
-                            t,
-                            encoder_hidden_states=prompt_embeds,
-                            cross_attention_kwargs=cross_attention_kwargs,
-                            added_cond_kwargs=added_cond_kwargs,
-                            return_dict=False,
-                        )[0]
-
-                        # perform guidance
-                        noise_pred = noise_pred_uncond + self.cfg_scale * (noise_pred_text - noise_pred_uncond)
-
-                        # del noise_pred_text
-                        # del noise_pred_uncond
-                        # import gc
-                        # gc.collect()
-                        # torch.cuda.empty_cache()
-
-                        # if do_classifier_free_guidance and guidance_rescale > 0.0:
-                        #    # Based on 3.4. in https://arxiv.org/pdf/2305.08891.pdf
-                        #    noise_pred = rescale_noise_cfg(noise_pred, noise_pred_text, guidance_rescale=guidance_rescale)
-
-                        # compute the previous noisy sample x_t -> x_t-1
-                        latents = scheduler.step(noise_pred, t, latents, **extra_step_kwargs, return_dict=False)[0]
-
-                        # del noise_pred
-                        # import gc
-                        # gc.collect()
-                        # torch.cuda.empty_cache()
-
-                        # call the callback, if provided
-                        if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % scheduler.order == 0):
-                            progress_bar.update()
-                            self.dispatch_progress(context, source_node_id, latents, i, num_inference_steps)
-                            # if callback is not None and i % callback_steps == 0:
-                            #    callback(i, t, latents)
-
-        #################
-
-        latents = latents.to("cpu")
-        torch.cuda.empty_cache()
-
-        name = f"{context.graph_execution_state_id}__{self.id}"
-        context.services.latents.save(name, latents)
-        return build_latents_output(latents_name=name, latents=latents)

From 5f29526a8e7bfa99ad45f6c3845cff08e47f4fa0 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Tue, 8 Aug 2023 04:00:33 +0300
Subject: [PATCH 110/287] Add seed to latents field

---
 invokeai/app/invocations/latent.py | 29 ++++++++++++++++++-----------
 invokeai/app/invocations/noise.py  |  6 +++---
 2 files changed, 21 insertions(+), 14 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 25e411074a..1fbcb2941a 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -49,6 +49,7 @@ class LatentsField(BaseModel):
     """A latents field used for passing latents between invocations"""
 
     latents_name: Optional[str] = Field(default=None, description="The name of the latents")
+    seed: Optional[int] = Field(description="Seed used to generate this latents")
 
     class Config:
         schema_extra = {"required": ["latents_name"]}
@@ -67,9 +68,9 @@ class LatentsOutput(BaseInvocationOutput):
     # fmt: on
 
 
-def build_latents_output(latents_name: str, latents: torch.Tensor):
+def build_latents_output(latents_name: str, latents: torch.Tensor, seed: Optional[int]):
     return LatentsOutput(
-        latents=LatentsField(latents_name=latents_name),
+        latents=LatentsField(latents_name=latents_name, seed=seed),
         width=latents.size()[3] * 8,
         height=latents.size()[2] * 8,
     )
@@ -175,6 +176,7 @@ class TextToLatentsInvocation(BaseInvocation):
         context: InvocationContext,
         scheduler,
         unet,
+        seed,
     ) -> ConditioningData:
         positive_cond_data = context.services.latents.get(self.positive_conditioning.conditioning_name)
         c = positive_cond_data.conditionings[0].to(device=unet.device, dtype=unet.dtype)
@@ -201,7 +203,7 @@ class TextToLatentsInvocation(BaseInvocation):
             # for ddim scheduler
             eta=0.0,  # ddim_eta
             # for ancestral and sde schedulers
-            generator=torch.Generator(device=unet.device).manual_seed(0),
+            generator=torch.Generator(device=unet.device).manual_seed(seed),
         )
         return conditioning_data
 
@@ -336,6 +338,7 @@ class TextToLatentsInvocation(BaseInvocation):
     def invoke(self, context: InvocationContext) -> LatentsOutput:
         with SilenceWarnings():
             noise = context.services.latents.get(self.noise.latents_name)
+            seed = self.noise.seed or 0
 
             # Get the source node id (we are invoking the prepared node)
             graph_execution_state = context.services.graph_execution_manager.get(context.graph_execution_state_id)
@@ -370,7 +373,7 @@ class TextToLatentsInvocation(BaseInvocation):
                 )
 
                 pipeline = self.create_pipeline(unet, scheduler)
-                conditioning_data = self.get_conditioning_data(context, scheduler, unet)
+                conditioning_data = self.get_conditioning_data(context, scheduler, unet, seed)
 
                 control_data = self.prep_control_data(
                     model=pipeline,
@@ -407,7 +410,7 @@ class TextToLatentsInvocation(BaseInvocation):
 
             name = f"{context.graph_execution_state_id}__{self.id}"
             context.services.latents.save(name, result_latents)
-            return build_latents_output(latents_name=name, latents=result_latents)
+            return build_latents_output(latents_name=name, latents=result_latents, seed=seed)
 
 
 class LatentsToLatentsInvocation(TextToLatentsInvocation):
@@ -440,10 +443,14 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> LatentsOutput:
         with SilenceWarnings():  # this quenches NSFW nag from diffusers
+            latent = context.services.latents.get(self.latents.latents_name)
+            seed = self.latents.seed or 0
+
             noise = None
             if self.noise is not None:
                 noise = context.services.latents.get(self.noise.latents_name)
-            latent = context.services.latents.get(self.latents.latents_name)
+                if self.noise.seed is not None:
+                    seed = self.noise.seed
 
             # Get the source node id (we are invoking the prepared node)
             graph_execution_state = context.services.graph_execution_manager.get(context.graph_execution_state_id)
@@ -480,7 +487,7 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
                 )
 
                 pipeline = self.create_pipeline(unet, scheduler)
-                conditioning_data = self.get_conditioning_data(context, scheduler, unet)
+                conditioning_data = self.get_conditioning_data(context, scheduler, unet, seed)
 
                 control_data = self.prep_control_data(
                     model=pipeline,
@@ -521,7 +528,7 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
 
             name = f"{context.graph_execution_state_id}__{self.id}"
             context.services.latents.save(name, result_latents)
-        return build_latents_output(latents_name=name, latents=result_latents)
+        return build_latents_output(latents_name=name, latents=result_latents, seed=seed)
 
 
 # Latent to image
@@ -663,7 +670,7 @@ class ResizeLatentsInvocation(BaseInvocation):
         name = f"{context.graph_execution_state_id}__{self.id}"
         # context.services.latents.set(name, resized_latents)
         context.services.latents.save(name, resized_latents)
-        return build_latents_output(latents_name=name, latents=resized_latents)
+        return build_latents_output(latents_name=name, latents=resized_latents, seed=self.latents.seed)
 
 
 class ScaleLatentsInvocation(BaseInvocation):
@@ -705,7 +712,7 @@ class ScaleLatentsInvocation(BaseInvocation):
         name = f"{context.graph_execution_state_id}__{self.id}"
         # context.services.latents.set(name, resized_latents)
         context.services.latents.save(name, resized_latents)
-        return build_latents_output(latents_name=name, latents=resized_latents)
+        return build_latents_output(latents_name=name, latents=resized_latents, seed=self.latents.seed)
 
 
 class ImageToLatentsInvocation(BaseInvocation):
@@ -786,4 +793,4 @@ class ImageToLatentsInvocation(BaseInvocation):
         name = f"{context.graph_execution_state_id}__{self.id}"
         latents = latents.to("cpu")
         context.services.latents.save(name, latents)
-        return build_latents_output(latents_name=name, latents=latents)
+        return build_latents_output(latents_name=name, latents=latents, seed=None)
diff --git a/invokeai/app/invocations/noise.py b/invokeai/app/invocations/noise.py
index fff0f29f14..db64e5b6e5 100644
--- a/invokeai/app/invocations/noise.py
+++ b/invokeai/app/invocations/noise.py
@@ -71,9 +71,9 @@ class NoiseOutput(BaseInvocationOutput):
     # fmt: on
 
 
-def build_noise_output(latents_name: str, latents: torch.Tensor):
+def build_noise_output(latents_name: str, latents: torch.Tensor, seed: int):
     return NoiseOutput(
-        noise=LatentsField(latents_name=latents_name),
+        noise=LatentsField(latents_name=latents_name, seed=seed),
         width=latents.size()[3] * 8,
         height=latents.size()[2] * 8,
     )
@@ -132,4 +132,4 @@ class NoiseInvocation(BaseInvocation):
         )
         name = f"{context.graph_execution_state_id}__{self.id}"
         context.services.latents.save(name, noise)
-        return build_noise_output(latents_name=name, latents=noise)
+        return build_noise_output(latents_name=name, latents=noise, seed=self.seed)

From eb70bc2ae4c12f128148147e02b6aefd45874bff Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 7 Aug 2023 21:00:47 -0400
Subject: [PATCH 111/287] add scripts to create model templates and check
 whether they match

---
 scripts/create_checkpoint_template.py | 48 +++++++++++++++++++++++++++
 1 file changed, 48 insertions(+)
 create mode 100755 scripts/create_checkpoint_template.py

diff --git a/scripts/create_checkpoint_template.py b/scripts/create_checkpoint_template.py
new file mode 100755
index 0000000000..5b8fca8b58
--- /dev/null
+++ b/scripts/create_checkpoint_template.py
@@ -0,0 +1,48 @@
+#!/usr/bin/env python
+"""
+Read a checkpoint/safetensors file and write out a template .json file containing
+its metadata for use in fast model probing.
+"""
+
+import sys
+import argparse
+import json
+
+from pathlib import Path
+
+from invokeai.backend.model_management.models.base import read_checkpoint_meta
+
+parser = argparse.ArgumentParser(description="Create a .json template from checkpoint/safetensors model")
+parser.add_argument(
+    "--checkpoint",
+    "--in",
+    type=Path,
+    help="Path to the input checkpoint/safetensors file"
+)
+parser.add_argument(
+    "--template",
+    "--out",
+    type=Path,
+    help="Path to the output .json file"
+)
+
+opt = parser.parse_args()
+ckpt = read_checkpoint_meta(opt.checkpoint)
+while "state_dict" in ckpt:
+    ckpt = ckpt["state_dict"]
+
+tmpl = {}
+
+for key, tensor in ckpt.items():
+    tmpl[key] = list(tensor.shape)
+
+try:
+    with open(opt.template,'w') as f:
+        json.dump(tmpl, f)
+    print(f"Template written out as {opt.template}")
+except Exception as e:
+    print(f"An exception occurred while writing template: {str(e)}")
+
+
+
+

From 4df581811ea77ac6081ebe55fc4b59fd494a140c Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 7 Aug 2023 21:01:48 -0400
Subject: [PATCH 112/287] add template verification script

---
 scripts/verify_checkpoint_template.py | 51 +++++++++++++++++++++++++++
 1 file changed, 51 insertions(+)
 create mode 100755 scripts/verify_checkpoint_template.py

diff --git a/scripts/verify_checkpoint_template.py b/scripts/verify_checkpoint_template.py
new file mode 100755
index 0000000000..42c7acca3a
--- /dev/null
+++ b/scripts/verify_checkpoint_template.py
@@ -0,0 +1,51 @@
+#!/usr/bin/env python
+"""
+Read a checkpoint/safetensors file and compare it to a template .json.
+Returns True if their metadata match.
+"""
+
+import sys
+import argparse
+import json
+
+from pathlib import Path
+
+from invokeai.backend.model_management.models.base import read_checkpoint_meta
+
+parser = argparse.ArgumentParser(description="Create a .json template from checkpoint/safetensors model")
+parser.add_argument(
+    "--checkpoint",
+    "--in",
+    type=Path,
+    help="Path to the input checkpoint/safetensors file"
+)
+parser.add_argument(
+    "--template",
+    "--out",
+    type=Path,
+    help="Path to the template .json file to match against"
+)
+
+opt = parser.parse_args()
+ckpt = read_checkpoint_meta(opt.checkpoint)
+while "state_dict" in ckpt:
+    ckpt = ckpt["state_dict"]
+
+checkpoint_metadata = {}
+
+for key, tensor in ckpt.items():
+    checkpoint_metadata[key] = list(tensor.shape)
+
+with open(opt.template,'r') as f:
+    template = json.load(f)
+
+if checkpoint_metadata == template:
+    print('True')
+    sys.exit(0)
+else:
+    print('False')
+    sys.exit(-1)
+
+
+
+

From 750f09fbed98a4a8bd663f5be0cdc836d77b787d Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 7 Aug 2023 21:01:59 -0400
Subject: [PATCH 113/287] blackify

---
 scripts/create_checkpoint_template.py | 20 +++-----------------
 scripts/verify_checkpoint_template.py | 24 +++++-------------------
 2 files changed, 8 insertions(+), 36 deletions(-)

diff --git a/scripts/create_checkpoint_template.py b/scripts/create_checkpoint_template.py
index 5b8fca8b58..7ff201c841 100755
--- a/scripts/create_checkpoint_template.py
+++ b/scripts/create_checkpoint_template.py
@@ -13,18 +13,8 @@ from pathlib import Path
 from invokeai.backend.model_management.models.base import read_checkpoint_meta
 
 parser = argparse.ArgumentParser(description="Create a .json template from checkpoint/safetensors model")
-parser.add_argument(
-    "--checkpoint",
-    "--in",
-    type=Path,
-    help="Path to the input checkpoint/safetensors file"
-)
-parser.add_argument(
-    "--template",
-    "--out",
-    type=Path,
-    help="Path to the output .json file"
-)
+parser.add_argument("--checkpoint", "--in", type=Path, help="Path to the input checkpoint/safetensors file")
+parser.add_argument("--template", "--out", type=Path, help="Path to the output .json file")
 
 opt = parser.parse_args()
 ckpt = read_checkpoint_meta(opt.checkpoint)
@@ -37,12 +27,8 @@ for key, tensor in ckpt.items():
     tmpl[key] = list(tensor.shape)
 
 try:
-    with open(opt.template,'w') as f:
+    with open(opt.template, "w") as f:
         json.dump(tmpl, f)
     print(f"Template written out as {opt.template}")
 except Exception as e:
     print(f"An exception occurred while writing template: {str(e)}")
-
-
-
-
diff --git a/scripts/verify_checkpoint_template.py b/scripts/verify_checkpoint_template.py
index 42c7acca3a..68ed72037e 100755
--- a/scripts/verify_checkpoint_template.py
+++ b/scripts/verify_checkpoint_template.py
@@ -13,18 +13,8 @@ from pathlib import Path
 from invokeai.backend.model_management.models.base import read_checkpoint_meta
 
 parser = argparse.ArgumentParser(description="Create a .json template from checkpoint/safetensors model")
-parser.add_argument(
-    "--checkpoint",
-    "--in",
-    type=Path,
-    help="Path to the input checkpoint/safetensors file"
-)
-parser.add_argument(
-    "--template",
-    "--out",
-    type=Path,
-    help="Path to the template .json file to match against"
-)
+parser.add_argument("--checkpoint", "--in", type=Path, help="Path to the input checkpoint/safetensors file")
+parser.add_argument("--template", "--out", type=Path, help="Path to the template .json file to match against")
 
 opt = parser.parse_args()
 ckpt = read_checkpoint_meta(opt.checkpoint)
@@ -36,16 +26,12 @@ checkpoint_metadata = {}
 for key, tensor in ckpt.items():
     checkpoint_metadata[key] = list(tensor.shape)
 
-with open(opt.template,'r') as f:
+with open(opt.template, "r") as f:
     template = json.load(f)
 
 if checkpoint_metadata == template:
-    print('True')
+    print("True")
     sys.exit(0)
 else:
-    print('False')
+    print("False")
     sys.exit(-1)
-
-
-
-

From fe924daee38cfd16d34bf68502235639ebfec2ca Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Mon, 7 Aug 2023 10:22:12 -0400
Subject: [PATCH 114/287] add option to disable multiselect

---
 invokeai/frontend/web/src/app/types/invokeai.ts        |  3 ++-
 .../src/features/gallery/hooks/useMultiselect.ts.ts    | 10 +++++++++-
 2 files changed, 11 insertions(+), 2 deletions(-)

diff --git a/invokeai/frontend/web/src/app/types/invokeai.ts b/invokeai/frontend/web/src/app/types/invokeai.ts
index b38790e0c9..827424fa7f 100644
--- a/invokeai/frontend/web/src/app/types/invokeai.ts
+++ b/invokeai/frontend/web/src/app/types/invokeai.ts
@@ -96,7 +96,8 @@ export type AppFeature =
   | 'consoleLogging'
   | 'dynamicPrompting'
   | 'batches'
-  | 'syncModels';
+  | 'syncModels'
+  | 'multiselect';
 
 /**
  * A disable-able Stable Diffusion feature
diff --git a/invokeai/frontend/web/src/features/gallery/hooks/useMultiselect.ts.ts b/invokeai/frontend/web/src/features/gallery/hooks/useMultiselect.ts.ts
index b59a2f3d6f..a162c6788d 100644
--- a/invokeai/frontend/web/src/features/gallery/hooks/useMultiselect.ts.ts
+++ b/invokeai/frontend/web/src/features/gallery/hooks/useMultiselect.ts.ts
@@ -9,6 +9,7 @@ import { useListImagesQuery } from 'services/api/endpoints/images';
 import { ImageDTO } from 'services/api/types';
 import { selectionChanged } from '../store/gallerySlice';
 import { imagesSelectors } from 'services/api/util';
+import { useFeatureStatus } from '../../system/hooks/useFeatureStatus';
 
 const selector = createSelector(
   [stateSelector, selectListImagesBaseQueryArgs],
@@ -33,11 +34,18 @@ export const useMultiselect = (imageDTO?: ImageDTO) => {
     }),
   });
 
+  const isMultiSelectEnabled = useFeatureStatus('multiselect').isFeatureEnabled;
+
   const handleClick = useCallback(
     (e: MouseEvent<HTMLDivElement>) => {
       if (!imageDTO) {
         return;
       }
+      if (!isMultiSelectEnabled) {
+        dispatch(selectionChanged([imageDTO]));
+        return;
+      }
+
       if (e.shiftKey) {
         const rangeEndImageName = imageDTO.image_name;
         const lastSelectedImage = selection[selection.length - 1]?.image_name;
@@ -71,7 +79,7 @@ export const useMultiselect = (imageDTO?: ImageDTO) => {
         dispatch(selectionChanged([imageDTO]));
       }
     },
-    [dispatch, imageDTO, imageDTOs, selection]
+    [dispatch, imageDTO, imageDTOs, selection, isMultiSelectEnabled]
   );
 
   const isSelected = useMemo(

From 734a9e42717a91cd0142f31bed4c133254ebc32d Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Mon, 7 Aug 2023 10:23:02 -0400
Subject: [PATCH 115/287] invalidate board total when images deleted, only run
 date range logic if board has less than 20 images

---
 .../web/src/services/api/endpoints/images.ts  | 101 ++++++++++--------
 1 file changed, 59 insertions(+), 42 deletions(-)

diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index e093c1c33a..26c2268ca5 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -4,6 +4,7 @@ import {
   ASSETS_CATEGORIES,
   BoardId,
   IMAGE_CATEGORIES,
+  IMAGE_LIMIT,
 } from 'features/gallery/store/types';
 import { keyBy } from 'lodash';
 import { ApiFullTagDescription, LIST_TAG, api } from '..';
@@ -167,7 +168,14 @@ export const imagesApi = api.injectEndpoints({
           },
         };
       },
-      invalidatesTags: (result, error, imageDTOs) => [],
+      invalidatesTags: (result, error, { imageDTOs }) => {
+        // for now, assume bulk delete is all on one board
+        const boardId = imageDTOs[0]?.board_id
+        return [
+          { type: 'BoardImagesTotal', id: boardId ?? 'none' },
+          { type: 'BoardAssetsTotal', id: boardId ?? 'none' },
+        ]
+      },
       async onQueryStarted({ imageDTOs }, { dispatch, queryFulfilled }) {
         /**
          * Cache changes for `deleteImages`:
@@ -288,11 +296,11 @@ export const imagesApi = api.injectEndpoints({
             imageDTO.image_category
           )
             ? boardsApi.endpoints.getBoardImagesTotal.select(
-                imageDTO.board_id ?? 'none'
-              )(getState())
+              imageDTO.board_id ?? 'none'
+            )(getState())
             : boardsApi.endpoints.getBoardAssetsTotal.select(
-                imageDTO.board_id ?? 'none'
-              )(getState());
+              imageDTO.board_id ?? 'none'
+            )(getState());
 
           // IF it eligible for insertion into existing $cache
           // "eligible" means either:
@@ -718,11 +726,11 @@ export const imagesApi = api.injectEndpoints({
             imageDTO.image_category
           )
             ? boardsApi.endpoints.getBoardImagesTotal.select(
-                imageDTO.board_id ?? 'none'
-              )(getState())
+              imageDTO.board_id ?? 'none'
+            )(getState())
             : boardsApi.endpoints.getBoardAssetsTotal.select(
-                imageDTO.board_id ?? 'none'
-              )(getState());
+              imageDTO.board_id ?? 'none'
+            )(getState());
 
           const isCacheFullyPopulated =
             currentCache.data && currentCache.data.ids.length >= (total ?? 0);
@@ -838,11 +846,11 @@ export const imagesApi = api.injectEndpoints({
           imageDTO.image_category
         )
           ? boardsApi.endpoints.getBoardImagesTotal.select(
-              imageDTO.board_id ?? 'none'
-            )(getState())
+            imageDTO.board_id ?? 'none'
+          )(getState())
           : boardsApi.endpoints.getBoardAssetsTotal.select(
-              imageDTO.board_id ?? 'none'
-            )(getState());
+            imageDTO.board_id ?? 'none'
+          )(getState());
 
         const isCacheFullyPopulated =
           currentCache.data && currentCache.data.ids.length >= (total ?? 0);
@@ -889,18 +897,25 @@ export const imagesApi = api.injectEndpoints({
           board_id,
         },
       }),
-      invalidatesTags: (result, error, { board_id }) => [
-        // update the destination board
-        { type: 'Board', id: board_id ?? 'none' },
-        // update old board totals
-        { type: 'BoardImagesTotal', id: board_id ?? 'none' },
-        { type: 'BoardAssetsTotal', id: board_id ?? 'none' },
-        // update the no_board totals
-        { type: 'BoardImagesTotal', id: 'none' },
-        { type: 'BoardAssetsTotal', id: 'none' },
-      ],
+      invalidatesTags: (result, error, { imageDTOs, board_id }) => {
+        //assume all images are being moved from one board for now
+        const oldBoardId = imageDTOs[0]?.board_id;
+        return [
+          // update the destination board
+          { type: 'Board', id: board_id ?? 'none' },
+          // update new board totals
+          { type: 'BoardImagesTotal', id: board_id ?? 'none' },
+          { type: 'BoardAssetsTotal', id: board_id ?? 'none' },
+          // update old board totals
+          { type: 'BoardImagesTotal', id: oldBoardId ?? 'none' },
+          { type: 'BoardAssetsTotal', id: oldBoardId ?? 'none' },
+          // update the no_board totals
+          { type: 'BoardImagesTotal', id: 'none' },
+          { type: 'BoardAssetsTotal', id: 'none' },
+        ]
+      },
       async onQueryStarted(
-        { board_id, imageDTOs },
+        { board_id: new_board_id, imageDTOs },
         { dispatch, queryFulfilled, getState }
       ) {
         try {
@@ -920,7 +935,7 @@ export const imagesApi = api.injectEndpoints({
                 'getImageDTO',
                 image_name,
                 (draft) => {
-                  draft.board_id = board_id;
+                  draft.board_id = new_board_id;
                 }
               )
             );
@@ -946,7 +961,7 @@ export const imagesApi = api.injectEndpoints({
             );
 
             const queryArgs = {
-              board_id,
+              board_id: new_board_id,
               categories,
             };
 
@@ -954,25 +969,27 @@ export const imagesApi = api.injectEndpoints({
               queryArgs
             )(getState());
 
-            const { data: total } = IMAGE_CATEGORIES.includes(
+
+            const { data: previousTotal } = IMAGE_CATEGORIES.includes(
               imageDTO.image_category
             )
               ? boardsApi.endpoints.getBoardImagesTotal.select(
-                  imageDTO.board_id ?? 'none'
-                )(getState())
+                new_board_id ?? 'none'
+              )(getState())
               : boardsApi.endpoints.getBoardAssetsTotal.select(
-                  imageDTO.board_id ?? 'none'
-                )(getState());
+                new_board_id ?? 'none'
+              )(getState());
 
             const isCacheFullyPopulated =
-              currentCache.data && currentCache.data.ids.length >= (total ?? 0);
+              currentCache.data && currentCache.data.ids.length >= (previousTotal ?? 0);
 
-            const isInDateRange = getIsImageInDateRange(
+            const isInDateRange = (previousTotal || 0) >= IMAGE_LIMIT ? getIsImageInDateRange(
               currentCache.data,
               imageDTO
-            );
+            ) : true;
 
             if (isCacheFullyPopulated || isInDateRange) {
+              console.log("upserting")
               // *upsert* to $cache
               dispatch(
                 imagesApi.util.updateQueryData(
@@ -981,7 +998,7 @@ export const imagesApi = api.injectEndpoints({
                   (draft) => {
                     imagesAdapter.upsertOne(draft, {
                       ...imageDTO,
-                      board_id,
+                      board_id: new_board_id,
                     });
                   }
                 )
@@ -1088,19 +1105,19 @@ export const imagesApi = api.injectEndpoints({
               imageDTO.image_category
             )
               ? boardsApi.endpoints.getBoardImagesTotal.select(
-                  imageDTO.board_id ?? 'none'
-                )(getState())
+                imageDTO.board_id ?? 'none'
+              )(getState())
               : boardsApi.endpoints.getBoardAssetsTotal.select(
-                  imageDTO.board_id ?? 'none'
-                )(getState());
+                imageDTO.board_id ?? 'none'
+              )(getState());
 
             const isCacheFullyPopulated =
               currentCache.data && currentCache.data.ids.length >= (total ?? 0);
 
-            const isInDateRange = getIsImageInDateRange(
+            const isInDateRange = (total || 0) >= IMAGE_LIMIT ? getIsImageInDateRange(
               currentCache.data,
               imageDTO
-            );
+            ) : true;
 
             if (isCacheFullyPopulated || isInDateRange) {
               // *upsert* to $cache
@@ -1111,7 +1128,7 @@ export const imagesApi = api.injectEndpoints({
                   (draft) => {
                     imagesAdapter.upsertOne(draft, {
                       ...imageDTO,
-                      board_id: undefined,
+                      board_id: "none",
                     });
                   }
                 )

From 57e8ec9488361bcce44ff46c06a02476e1782c56 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Tue, 8 Aug 2023 12:49:54 +1000
Subject: [PATCH 116/287] chore(ui): lint/format

---
 .../web/src/services/api/endpoints/images.ts  | 69 +++++++++----------
 1 file changed, 34 insertions(+), 35 deletions(-)

diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index 26c2268ca5..0c52258f9d 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -170,11 +170,11 @@ export const imagesApi = api.injectEndpoints({
       },
       invalidatesTags: (result, error, { imageDTOs }) => {
         // for now, assume bulk delete is all on one board
-        const boardId = imageDTOs[0]?.board_id
+        const boardId = imageDTOs[0]?.board_id;
         return [
           { type: 'BoardImagesTotal', id: boardId ?? 'none' },
           { type: 'BoardAssetsTotal', id: boardId ?? 'none' },
-        ]
+        ];
       },
       async onQueryStarted({ imageDTOs }, { dispatch, queryFulfilled }) {
         /**
@@ -296,11 +296,11 @@ export const imagesApi = api.injectEndpoints({
             imageDTO.image_category
           )
             ? boardsApi.endpoints.getBoardImagesTotal.select(
-              imageDTO.board_id ?? 'none'
-            )(getState())
+                imageDTO.board_id ?? 'none'
+              )(getState())
             : boardsApi.endpoints.getBoardAssetsTotal.select(
-              imageDTO.board_id ?? 'none'
-            )(getState());
+                imageDTO.board_id ?? 'none'
+              )(getState());
 
           // IF it eligible for insertion into existing $cache
           // "eligible" means either:
@@ -726,11 +726,11 @@ export const imagesApi = api.injectEndpoints({
             imageDTO.image_category
           )
             ? boardsApi.endpoints.getBoardImagesTotal.select(
-              imageDTO.board_id ?? 'none'
-            )(getState())
+                imageDTO.board_id ?? 'none'
+              )(getState())
             : boardsApi.endpoints.getBoardAssetsTotal.select(
-              imageDTO.board_id ?? 'none'
-            )(getState());
+                imageDTO.board_id ?? 'none'
+              )(getState());
 
           const isCacheFullyPopulated =
             currentCache.data && currentCache.data.ids.length >= (total ?? 0);
@@ -846,11 +846,11 @@ export const imagesApi = api.injectEndpoints({
           imageDTO.image_category
         )
           ? boardsApi.endpoints.getBoardImagesTotal.select(
-            imageDTO.board_id ?? 'none'
-          )(getState())
+              imageDTO.board_id ?? 'none'
+            )(getState())
           : boardsApi.endpoints.getBoardAssetsTotal.select(
-            imageDTO.board_id ?? 'none'
-          )(getState());
+              imageDTO.board_id ?? 'none'
+            )(getState());
 
         const isCacheFullyPopulated =
           currentCache.data && currentCache.data.ids.length >= (total ?? 0);
@@ -912,7 +912,7 @@ export const imagesApi = api.injectEndpoints({
           // update the no_board totals
           { type: 'BoardImagesTotal', id: 'none' },
           { type: 'BoardAssetsTotal', id: 'none' },
-        ]
+        ];
       },
       async onQueryStarted(
         { board_id: new_board_id, imageDTOs },
@@ -969,27 +969,26 @@ export const imagesApi = api.injectEndpoints({
               queryArgs
             )(getState());
 
-
             const { data: previousTotal } = IMAGE_CATEGORIES.includes(
               imageDTO.image_category
             )
               ? boardsApi.endpoints.getBoardImagesTotal.select(
-                new_board_id ?? 'none'
-              )(getState())
+                  new_board_id ?? 'none'
+                )(getState())
               : boardsApi.endpoints.getBoardAssetsTotal.select(
-                new_board_id ?? 'none'
-              )(getState());
+                  new_board_id ?? 'none'
+                )(getState());
 
             const isCacheFullyPopulated =
-              currentCache.data && currentCache.data.ids.length >= (previousTotal ?? 0);
+              currentCache.data &&
+              currentCache.data.ids.length >= (previousTotal ?? 0);
 
-            const isInDateRange = (previousTotal || 0) >= IMAGE_LIMIT ? getIsImageInDateRange(
-              currentCache.data,
-              imageDTO
-            ) : true;
+            const isInDateRange =
+              (previousTotal || 0) >= IMAGE_LIMIT
+                ? getIsImageInDateRange(currentCache.data, imageDTO)
+                : true;
 
             if (isCacheFullyPopulated || isInDateRange) {
-              console.log("upserting")
               // *upsert* to $cache
               dispatch(
                 imagesApi.util.updateQueryData(
@@ -1105,19 +1104,19 @@ export const imagesApi = api.injectEndpoints({
               imageDTO.image_category
             )
               ? boardsApi.endpoints.getBoardImagesTotal.select(
-                imageDTO.board_id ?? 'none'
-              )(getState())
+                  imageDTO.board_id ?? 'none'
+                )(getState())
               : boardsApi.endpoints.getBoardAssetsTotal.select(
-                imageDTO.board_id ?? 'none'
-              )(getState());
+                  imageDTO.board_id ?? 'none'
+                )(getState());
 
             const isCacheFullyPopulated =
               currentCache.data && currentCache.data.ids.length >= (total ?? 0);
 
-            const isInDateRange = (total || 0) >= IMAGE_LIMIT ? getIsImageInDateRange(
-              currentCache.data,
-              imageDTO
-            ) : true;
+            const isInDateRange =
+              (total || 0) >= IMAGE_LIMIT
+                ? getIsImageInDateRange(currentCache.data, imageDTO)
+                : true;
 
             if (isCacheFullyPopulated || isInDateRange) {
               // *upsert* to $cache
@@ -1128,7 +1127,7 @@ export const imagesApi = api.injectEndpoints({
                   (draft) => {
                     imagesAdapter.upsertOne(draft, {
                       ...imageDTO,
-                      board_id: "none",
+                      board_id: 'none',
                     });
                   }
                 )

From e20af5aef022b6ec74a8c4d55a6553df26ed83b4 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Tue, 8 Aug 2023 12:00:05 +1000
Subject: [PATCH 117/287] feat(ui): add LoRA support to SDXL linear UI

new graph modifier `addSDXLLoRasToGraph()` handles adding LoRA to the SDXL t2i and i2i graphs.
---
 .../lora/components/ParamLoraCollapse.tsx     |   2 +-
 .../lora/components/ParamLoraList.tsx         |  14 +-
 .../util/graphBuilders/addLoRAsToGraph.ts     |   9 +-
 .../util/graphBuilders/addSDXLLoRAstoGraph.ts | 212 +++++++++++++++++
 .../buildLinearSDXLImageToImageGraph.ts       |   3 +
 .../buildLinearSDXLTextToImageGraph.ts        |   3 +
 .../SDXLImageToImageTabParameters.tsx         |   2 +
 .../SDXLTextToImageTabParameters.tsx          |   2 +
 .../frontend/web/src/services/api/schema.d.ts | 222 ++++++++++++++++--
 .../frontend/web/src/services/api/types.ts    |   3 +
 10 files changed, 436 insertions(+), 36 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLLoRAstoGraph.ts

diff --git a/invokeai/frontend/web/src/features/lora/components/ParamLoraCollapse.tsx b/invokeai/frontend/web/src/features/lora/components/ParamLoraCollapse.tsx
index e212efbfa2..c2edd94106 100644
--- a/invokeai/frontend/web/src/features/lora/components/ParamLoraCollapse.tsx
+++ b/invokeai/frontend/web/src/features/lora/components/ParamLoraCollapse.tsx
@@ -31,7 +31,7 @@ const ParamLoraCollapse = () => {
   }
 
   return (
-    <IAICollapse label={'LoRA'} activeLabel={activeLabel}>
+    <IAICollapse label="LoRA" activeLabel={activeLabel}>
       <Flex sx={{ flexDir: 'column', gap: 2 }}>
         <ParamLoRASelect />
         <ParamLoraList />
diff --git a/invokeai/frontend/web/src/features/lora/components/ParamLoraList.tsx b/invokeai/frontend/web/src/features/lora/components/ParamLoraList.tsx
index 835c315e5c..f10084e585 100644
--- a/invokeai/frontend/web/src/features/lora/components/ParamLoraList.tsx
+++ b/invokeai/frontend/web/src/features/lora/components/ParamLoraList.tsx
@@ -1,3 +1,4 @@
+import { Divider } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
@@ -8,20 +9,21 @@ import ParamLora from './ParamLora';
 const selector = createSelector(
   stateSelector,
   ({ lora }) => {
-    const { loras } = lora;
-
-    return { loras };
+    return { lorasArray: map(lora.loras) };
   },
   defaultSelectorOptions
 );
 
 const ParamLoraList = () => {
-  const { loras } = useAppSelector(selector);
+  const { lorasArray } = useAppSelector(selector);
 
   return (
     <>
-      {map(loras, (lora) => (
-        <ParamLora key={lora.model_name} lora={lora} />
+      {lorasArray.map((lora, i) => (
+        <>
+          {i > 0 && <Divider key={`${lora.model_name}-divider`} pt={1} />}
+          <ParamLora key={lora.model_name} lora={lora} />
+        </>
       ))}
     </>
   );
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addLoRAsToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addLoRAsToGraph.ts
index bc0bfee8fd..cdd91d6e4f 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addLoRAsToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addLoRAsToGraph.ts
@@ -9,7 +9,6 @@ import {
   CLIP_SKIP,
   LORA_LOADER,
   MAIN_MODEL_LOADER,
-  ONNX_MODEL_LOADER,
   METADATA_ACCUMULATOR,
   NEGATIVE_CONDITIONING,
   POSITIVE_CONDITIONING,
@@ -36,15 +35,11 @@ export const addLoRAsToGraph = (
     | undefined;
 
   if (loraCount > 0) {
-    // Remove MAIN_MODEL_LOADER unet connection to feed it to LoRAs
+    // Remove modelLoaderNodeId unet connection to feed it to LoRAs
     graph.edges = graph.edges.filter(
       (e) =>
         !(
-          e.source.node_id === MAIN_MODEL_LOADER &&
-          ['unet'].includes(e.source.field)
-        ) &&
-        !(
-          e.source.node_id === ONNX_MODEL_LOADER &&
+          e.source.node_id === modelLoaderNodeId &&
           ['unet'].includes(e.source.field)
         )
     );
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLLoRAstoGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLLoRAstoGraph.ts
new file mode 100644
index 0000000000..c0f7f7ca82
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLLoRAstoGraph.ts
@@ -0,0 +1,212 @@
+import { RootState } from 'app/store/store';
+import { NonNullableGraph } from 'features/nodes/types/types';
+import { forEach, size } from 'lodash-es';
+import {
+  MetadataAccumulatorInvocation,
+  SDXLLoraLoaderInvocation,
+} from 'services/api/types';
+import {
+  LORA_LOADER,
+  METADATA_ACCUMULATOR,
+  NEGATIVE_CONDITIONING,
+  POSITIVE_CONDITIONING,
+  SDXL_MODEL_LOADER,
+} from './constants';
+
+export const addSDXLLoRAsToGraph = (
+  state: RootState,
+  graph: NonNullableGraph,
+  baseNodeId: string,
+  modelLoaderNodeId: string = SDXL_MODEL_LOADER
+): void => {
+  /**
+   * LoRA nodes get the UNet and CLIP models from the main model loader and apply the LoRA to them.
+   * They then output the UNet and CLIP models references on to either the next LoRA in the chain,
+   * or to the inference/conditioning nodes.
+   *
+   * So we need to inject a LoRA chain into the graph.
+   */
+
+  const { loras } = state.lora;
+  const loraCount = size(loras);
+  const metadataAccumulator = graph.nodes[METADATA_ACCUMULATOR] as
+    | MetadataAccumulatorInvocation
+    | undefined;
+
+  if (loraCount > 0) {
+    // Remove modelLoaderNodeId unet/clip/clip2 connections to feed it to LoRAs
+    graph.edges = graph.edges.filter(
+      (e) =>
+        !(
+          e.source.node_id === modelLoaderNodeId &&
+          ['unet'].includes(e.source.field)
+        ) &&
+        !(
+          e.source.node_id === modelLoaderNodeId &&
+          ['clip'].includes(e.source.field)
+        ) &&
+        !(
+          e.source.node_id === modelLoaderNodeId &&
+          ['clip2'].includes(e.source.field)
+        )
+    );
+  }
+
+  // we need to remember the last lora so we can chain from it
+  let lastLoraNodeId = '';
+  let currentLoraIndex = 0;
+
+  forEach(loras, (lora) => {
+    const { model_name, base_model, weight } = lora;
+    const currentLoraNodeId = `${LORA_LOADER}_${model_name.replace('.', '_')}`;
+
+    const loraLoaderNode: SDXLLoraLoaderInvocation = {
+      type: 'sdxl_lora_loader',
+      id: currentLoraNodeId,
+      is_intermediate: true,
+      lora: { model_name, base_model },
+      weight,
+    };
+
+    // add the lora to the metadata accumulator
+    if (metadataAccumulator) {
+      metadataAccumulator.loras.push({
+        lora: { model_name, base_model },
+        weight,
+      });
+    }
+
+    // add to graph
+    graph.nodes[currentLoraNodeId] = loraLoaderNode;
+    if (currentLoraIndex === 0) {
+      // first lora = start the lora chain, attach directly to model loader
+      graph.edges.push({
+        source: {
+          node_id: modelLoaderNodeId,
+          field: 'unet',
+        },
+        destination: {
+          node_id: currentLoraNodeId,
+          field: 'unet',
+        },
+      });
+
+      graph.edges.push({
+        source: {
+          node_id: modelLoaderNodeId,
+          field: 'clip',
+        },
+        destination: {
+          node_id: currentLoraNodeId,
+          field: 'clip',
+        },
+      });
+
+      graph.edges.push({
+        source: {
+          node_id: modelLoaderNodeId,
+          field: 'clip2',
+        },
+        destination: {
+          node_id: currentLoraNodeId,
+          field: 'clip2',
+        },
+      });
+    } else {
+      // we are in the middle of the lora chain, instead connect to the previous lora
+      graph.edges.push({
+        source: {
+          node_id: lastLoraNodeId,
+          field: 'unet',
+        },
+        destination: {
+          node_id: currentLoraNodeId,
+          field: 'unet',
+        },
+      });
+      graph.edges.push({
+        source: {
+          node_id: lastLoraNodeId,
+          field: 'clip',
+        },
+        destination: {
+          node_id: currentLoraNodeId,
+          field: 'clip',
+        },
+      });
+
+      graph.edges.push({
+        source: {
+          node_id: lastLoraNodeId,
+          field: 'clip2',
+        },
+        destination: {
+          node_id: currentLoraNodeId,
+          field: 'clip2',
+        },
+      });
+    }
+
+    if (currentLoraIndex === loraCount - 1) {
+      // final lora, end the lora chain - we need to connect up to inference and conditioning nodes
+      graph.edges.push({
+        source: {
+          node_id: currentLoraNodeId,
+          field: 'unet',
+        },
+        destination: {
+          node_id: baseNodeId,
+          field: 'unet',
+        },
+      });
+
+      graph.edges.push({
+        source: {
+          node_id: currentLoraNodeId,
+          field: 'clip',
+        },
+        destination: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'clip',
+        },
+      });
+
+      graph.edges.push({
+        source: {
+          node_id: currentLoraNodeId,
+          field: 'clip',
+        },
+        destination: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'clip',
+        },
+      });
+
+      graph.edges.push({
+        source: {
+          node_id: currentLoraNodeId,
+          field: 'clip2',
+        },
+        destination: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'clip2',
+        },
+      });
+
+      graph.edges.push({
+        source: {
+          node_id: currentLoraNodeId,
+          field: 'clip2',
+        },
+        destination: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'clip2',
+        },
+      });
+    }
+
+    // increment the lora for the next one in the chain
+    lastLoraNodeId = currentLoraNodeId;
+    currentLoraIndex += 1;
+  });
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index a260dbc467..0ec4e096d9 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -22,6 +22,7 @@ import {
   SDXL_LATENTS_TO_LATENTS,
   SDXL_MODEL_LOADER,
 } from './constants';
+import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 
 /**
  * Builds the Image to Image tab graph.
@@ -364,6 +365,8 @@ export const buildLinearSDXLImageToImageGraph = (
     },
   });
 
+  addSDXLLoRAsToGraph(state, graph, SDXL_LATENTS_TO_LATENTS, SDXL_MODEL_LOADER);
+
   // Add Refiner if enabled
   if (shouldUseSDXLRefiner) {
     addSDXLRefinerToGraph(state, graph, SDXL_LATENTS_TO_LATENTS);
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
index c10e7831d3..21b7c1e0ac 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -4,6 +4,7 @@ import { NonNullableGraph } from 'features/nodes/types/types';
 import { initialGenerationState } from 'features/parameters/store/generationSlice';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
+import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
@@ -246,6 +247,8 @@ export const buildLinearSDXLTextToImageGraph = (
     },
   });
 
+  addSDXLLoRAsToGraph(state, graph, SDXL_TEXT_TO_LATENTS, SDXL_MODEL_LOADER);
+
   // Add Refiner if enabled
   if (shouldUseSDXLRefiner) {
     addSDXLRefinerToGraph(state, graph, SDXL_TEXT_TO_LATENTS);
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
index c0b143a557..edc92a56c8 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
@@ -4,6 +4,7 @@ import ProcessButtons from 'features/parameters/components/ProcessButtons/Proces
 import ParamSDXLPromptArea from './ParamSDXLPromptArea';
 import ParamSDXLRefinerCollapse from './ParamSDXLRefinerCollapse';
 import SDXLImageToImageTabCoreParameters from './SDXLImageToImageTabCoreParameters';
+import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
 
 const SDXLImageToImageTabParameters = () => {
   return (
@@ -12,6 +13,7 @@ const SDXLImageToImageTabParameters = () => {
       <ProcessButtons />
       <SDXLImageToImageTabCoreParameters />
       <ParamSDXLRefinerCollapse />
+      <ParamLoraCollapse />
       <ParamDynamicPromptsCollapse />
       <ParamNoiseCollapse />
     </>
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx
index 35bc0b4284..325fd7d881 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx
@@ -4,6 +4,7 @@ import ProcessButtons from 'features/parameters/components/ProcessButtons/Proces
 import TextToImageTabCoreParameters from 'features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters';
 import ParamSDXLPromptArea from './ParamSDXLPromptArea';
 import ParamSDXLRefinerCollapse from './ParamSDXLRefinerCollapse';
+import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
 
 const SDXLTextToImageTabParameters = () => {
   return (
@@ -12,6 +13,7 @@ const SDXLTextToImageTabParameters = () => {
       <ProcessButtons />
       <TextToImageTabCoreParameters />
       <ParamSDXLRefinerCollapse />
+      <ParamLoraCollapse />
       <ParamDynamicPromptsCollapse />
       <ParamNoiseCollapse />
     </>
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 6574ec4909..fc3397820e 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -1443,7 +1443,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined;
+        [key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined;
       };
       /**
        * Edges 
@@ -1486,7 +1486,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
+        [key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
       };
       /**
        * Errors 
@@ -1904,6 +1904,40 @@ export type components = {
        */
       image_name: string;
     };
+    /**
+     * ImageHueAdjustmentInvocation 
+     * @description Adjusts the Hue of an image.
+     */
+    ImageHueAdjustmentInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default img_hue_adjust 
+       * @enum {string}
+       */
+      type?: "img_hue_adjust";
+      /**
+       * Image 
+       * @description The image to adjust
+       */
+      image?: components["schemas"]["ImageField"];
+      /**
+       * Hue 
+       * @description The degrees by which to rotate the hue, 0-360 
+       * @default 0
+       */
+      hue?: number;
+    };
     /**
      * ImageInverseLerpInvocation 
      * @description Inverse linear interpolation of all pixels of an image
@@ -1984,6 +2018,40 @@ export type components = {
        */
       max?: number;
     };
+    /**
+     * ImageLuminosityAdjustmentInvocation 
+     * @description Adjusts the Luminosity (Value) of an image.
+     */
+    ImageLuminosityAdjustmentInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default img_luminosity_adjust 
+       * @enum {string}
+       */
+      type?: "img_luminosity_adjust";
+      /**
+       * Image 
+       * @description The image to adjust
+       */
+      image?: components["schemas"]["ImageField"];
+      /**
+       * Luminosity 
+       * @description The factor by which to adjust the luminosity (value) 
+       * @default 1
+       */
+      luminosity?: number;
+    };
     /**
      * ImageMetadata 
      * @description An image's generation metadata
@@ -2239,6 +2307,40 @@ export type components = {
        */
       resample_mode?: "nearest" | "box" | "bilinear" | "hamming" | "bicubic" | "lanczos";
     };
+    /**
+     * ImageSaturationAdjustmentInvocation 
+     * @description Adjusts the Saturation of an image.
+     */
+    ImageSaturationAdjustmentInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default img_saturation_adjust 
+       * @enum {string}
+       */
+      type?: "img_saturation_adjust";
+      /**
+       * Image 
+       * @description The image to adjust
+       */
+      image?: components["schemas"]["ImageField"];
+      /**
+       * Saturation 
+       * @description The factor by which to adjust the saturation 
+       * @default 1
+       */
+      saturation?: number;
+    };
     /**
      * ImageScaleInvocation 
      * @description Scales an image by a factor
@@ -4912,6 +5014,82 @@ export type components = {
        */
       denoising_end?: number;
     };
+    /**
+     * SDXLLoraLoaderInvocation 
+     * @description Apply selected lora to unet and text_encoder.
+     */
+    SDXLLoraLoaderInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default sdxl_lora_loader 
+       * @enum {string}
+       */
+      type?: "sdxl_lora_loader";
+      /**
+       * Lora 
+       * @description Lora model name
+       */
+      lora?: components["schemas"]["LoRAModelField"];
+      /**
+       * Weight 
+       * @description With what weight to apply lora 
+       * @default 0.75
+       */
+      weight?: number;
+      /**
+       * Unet 
+       * @description UNet model for applying lora
+       */
+      unet?: components["schemas"]["UNetField"];
+      /**
+       * Clip 
+       * @description Clip model for applying lora
+       */
+      clip?: components["schemas"]["ClipField"];
+      /**
+       * Clip2 
+       * @description Clip2 model for applying lora
+       */
+      clip2?: components["schemas"]["ClipField"];
+    };
+    /**
+     * SDXLLoraLoaderOutput 
+     * @description Model loader output
+     */
+    SDXLLoraLoaderOutput: {
+      /**
+       * Type 
+       * @default sdxl_lora_loader_output 
+       * @enum {string}
+       */
+      type?: "sdxl_lora_loader_output";
+      /**
+       * Unet 
+       * @description UNet submodel
+       */
+      unet?: components["schemas"]["UNetField"];
+      /**
+       * Clip 
+       * @description Tokenizer and text_encoder submodels
+       */
+      clip?: components["schemas"]["ClipField"];
+      /**
+       * Clip2 
+       * @description Tokenizer2 and text_encoder2 submodels
+       */
+      clip2?: components["schemas"]["ClipField"];
+    };
     /**
      * SDXLModelLoaderInvocation 
      * @description Loads an sdxl base model, outputting its submodels.
@@ -5961,6 +6139,24 @@ export type components = {
        */
       image?: components["schemas"]["ImageField"];
     };
+    /**
+     * ControlNetModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    ControlNetModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionXLModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusion1ModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionOnnxModelFormat 
      * @description An enumeration. 
@@ -5973,24 +6169,6 @@ export type components = {
      * @enum {string}
      */
     StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusion1ModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusionXLModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
-    /**
-     * ControlNetModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -6101,7 +6279,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
+        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
       };
     };
     responses: {
@@ -6138,7 +6316,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
+        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
       };
     };
     responses: {
diff --git a/invokeai/frontend/web/src/services/api/types.ts b/invokeai/frontend/web/src/services/api/types.ts
index ca9dbb3aeb..e7e3accdad 100644
--- a/invokeai/frontend/web/src/services/api/types.ts
+++ b/invokeai/frontend/web/src/services/api/types.ts
@@ -166,6 +166,9 @@ export type OnnxModelLoaderInvocation = TypeReq<
 export type LoraLoaderInvocation = TypeReq<
   components['schemas']['LoraLoaderInvocation']
 >;
+export type SDXLLoraLoaderInvocation = TypeReq<
+  components['schemas']['SDXLLoraLoaderInvocation']
+>;
 export type MetadataAccumulatorInvocation = TypeReq<
   components['schemas']['MetadataAccumulatorInvocation']
 >;

From 8258c87a9f262044788cc6314d52fded60bd7c5a Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 7 Aug 2023 11:00:11 -0400
Subject: [PATCH 118/287] refrain from writing deprecated legacy options to
 invokeai.yaml

---
 invokeai/backend/install/invokeai_configure.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py
index 4bf2a484a1..a846c50dc3 100755
--- a/invokeai/backend/install/invokeai_configure.py
+++ b/invokeai/backend/install/invokeai_configure.py
@@ -44,6 +44,8 @@ from invokeai.app.services.config import (
 )
 from invokeai.backend.util.logging import InvokeAILogger
 from invokeai.frontend.install.model_install import addModelsForm, process_and_execute
+
+# TO DO - Move all the frontend code into invokeai.frontend.install
 from invokeai.frontend.install.widgets import (
     SingleSelectColumns,
     CenteredButtonPress,
@@ -654,7 +656,7 @@ def migrate_init_file(legacy_format: Path):
     old = legacy_parser.parse_args([f"@{str(legacy_format)}"])
     new = InvokeAIAppConfig.get_config()
 
-    fields = list(get_type_hints(InvokeAIAppConfig).keys())
+    fields = [x for x, y in InvokeAIAppConfig.__fields__.items() if y.field_info.extra.get("category") != "DEPRECATED"]
     for attr in fields:
         if hasattr(old, attr):
             setattr(new, attr, getattr(old, attr))

From a9bf387e5ecaf8877c9c8a4d28bd9c62254492eb Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 7 Aug 2023 14:04:53 -0400
Subject: [PATCH 119/287] turned on Pydantic `validate_assignment`

---
 invokeai/app/services/config.py                | 13 ++++++++++---
 invokeai/backend/install/invokeai_configure.py |  6 +++++-
 2 files changed, 15 insertions(+), 4 deletions(-)

diff --git a/invokeai/app/services/config.py b/invokeai/app/services/config.py
index 7b5015a670..bc615be7b2 100644
--- a/invokeai/app/services/config.py
+++ b/invokeai/app/services/config.py
@@ -28,7 +28,6 @@ InvokeAI:
     always_use_cpu: false
     free_gpu_mem: false
   Features:
-    restore: true
     esrgan: true
     patchmatch: true
     internet_available: true
@@ -165,7 +164,7 @@ import pydoc
 import os
 import sys
 from argparse import ArgumentParser
-from omegaconf import OmegaConf, DictConfig
+from omegaconf import OmegaConf, DictConfig, ListConfig
 from pathlib import Path
 from pydantic import BaseSettings, Field, parse_obj_as
 from typing import ClassVar, Dict, List, Set, Literal, Union, get_origin, get_type_hints, get_args
@@ -189,7 +188,12 @@ class InvokeAISettings(BaseSettings):
         opt = parser.parse_args(argv)
         for name in self.__fields__:
             if name not in self._excluded():
-                setattr(self, name, getattr(opt, name))
+                value = getattr(opt, name)
+                if isinstance(value, ListConfig):
+                    value = list(value)
+                elif isinstance(value, DictConfig):
+                    value = dict(value)
+                setattr(self, name, value)
 
     def to_yaml(self) -> str:
         """
@@ -426,6 +430,9 @@ class InvokeAIAppConfig(InvokeAISettings):
     version             : bool = Field(default=False, description="Show InvokeAI version and exit", category="Other")
     # fmt: on
 
+    class Config:
+        validate_assignment = True
+
     def parse_args(self, argv: List[str] = None, conf: DictConfig = None, clobber=False):
         """
         Update settings with contents of init file, environment, and
diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py
index a846c50dc3..979c5d3337 100755
--- a/invokeai/backend/install/invokeai_configure.py
+++ b/invokeai/backend/install/invokeai_configure.py
@@ -63,6 +63,7 @@ from invokeai.backend.install.model_install_backend import (
     ModelInstall,
 )
 from invokeai.backend.model_management.model_probe import ModelType, BaseModelType
+from pydantic.error_wrappers import ValidationError
 
 warnings.filterwarnings("ignore")
 transformers.logging.set_verbosity_error()
@@ -659,7 +660,10 @@ def migrate_init_file(legacy_format: Path):
     fields = [x for x, y in InvokeAIAppConfig.__fields__.items() if y.field_info.extra.get("category") != "DEPRECATED"]
     for attr in fields:
         if hasattr(old, attr):
-            setattr(new, attr, getattr(old, attr))
+            try:
+                setattr(new, attr, getattr(old, attr))
+            except ValidationError as e:
+                print(f'* Ignoring incompatible value for field {attr}:\n  {str(e)}')
 
     # a few places where the field names have changed and we have to
     # manually add in the new names/values

From 13347f6aec20f974dd326ac5b279419b5089bb2c Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 7 Aug 2023 14:05:03 -0400
Subject: [PATCH 120/287] blackified

---
 invokeai/backend/install/invokeai_configure.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py
index 979c5d3337..714b688996 100755
--- a/invokeai/backend/install/invokeai_configure.py
+++ b/invokeai/backend/install/invokeai_configure.py
@@ -663,7 +663,7 @@ def migrate_init_file(legacy_format: Path):
             try:
                 setattr(new, attr, getattr(old, attr))
             except ValidationError as e:
-                print(f'* Ignoring incompatible value for field {attr}:\n  {str(e)}')
+                print(f"* Ignoring incompatible value for field {attr}:\n  {str(e)}")
 
     # a few places where the field names have changed and we have to
     # manually add in the new names/values

From e77400ab62d24acbdf2f48a7427705e7b8b97e4a Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Tue, 8 Aug 2023 10:58:10 -0400
Subject: [PATCH 121/287] remove deprecated options from config

---
 invokeai/app/services/config.py | 12 +-----------
 1 file changed, 1 insertion(+), 11 deletions(-)

diff --git a/invokeai/app/services/config.py b/invokeai/app/services/config.py
index bc615be7b2..c407132e93 100644
--- a/invokeai/app/services/config.py
+++ b/invokeai/app/services/config.py
@@ -286,14 +286,10 @@ class InvokeAISettings(BaseSettings):
         return [
             "type",
             "initconf",
-            "gpu_mem_reserved",
-            "max_loaded_models",
             "version",
             "from_file",
             "model",
-            "restore",
             "root",
-            "nsfw_checker",
         ]
 
     class Config:
@@ -392,15 +388,11 @@ class InvokeAIAppConfig(InvokeAISettings):
     internet_available  : bool = Field(default=True, description="If true, attempt to download models on the fly; otherwise only use local models", category='Features')
     log_tokenization    : bool = Field(default=False, description="Enable logging of parsed prompt tokens.", category='Features')
     patchmatch          : bool = Field(default=True, description="Enable/disable patchmatch inpaint code", category='Features')
-    restore             : bool = Field(default=True, description="Enable/disable face restoration code (DEPRECATED)", category='DEPRECATED')
 
     always_use_cpu      : bool = Field(default=False, description="If true, use the CPU for rendering even if a GPU is available.", category='Memory/Performance')
     free_gpu_mem        : bool = Field(default=False, description="If true, purge model from GPU after each generation.", category='Memory/Performance')
-    max_loaded_models   : int = Field(default=3, gt=0, description="(DEPRECATED: use max_cache_size) Maximum number of models to keep in memory for rapid switching", category='DEPRECATED')
     max_cache_size      : float = Field(default=6.0, gt=0, description="Maximum memory amount used by model cache for rapid switching", category='Memory/Performance')
     max_vram_cache_size : float = Field(default=2.75, ge=0, description="Amount of VRAM reserved for model storage", category='Memory/Performance')
-    gpu_mem_reserved    : float = Field(default=2.75, ge=0, description="DEPRECATED: use max_vram_cache_size. Amount of VRAM reserved for model storage", category='DEPRECATED')
-    nsfw_checker        : bool = Field(default=True, description="DEPRECATED: use Web settings to enable/disable", category='DEPRECATED')
     precision           : Literal[tuple(['auto','float16','float32','autocast'])] = Field(default='auto',description='Floating point precision', category='Memory/Performance')
     sequential_guidance : bool = Field(default=False, description="Whether to calculate guidance in serial instead of in parallel, lowering memory requirements", category='Memory/Performance')
     xformers_enabled    : bool = Field(default=True, description="Enable/disable memory-efficient attention", category='Memory/Performance')
@@ -418,9 +410,7 @@ class InvokeAIAppConfig(InvokeAISettings):
     outdir              : Path = Field(default='outputs', description='Default folder for output images', category='Paths')
     from_file           : Path = Field(default=None, description='Take command input from the indicated file (command-line client only)', category='Paths')
     use_memory_db       : bool = Field(default=False, description='Use in-memory database for storing image metadata', category='Paths')
-    ignore_missing_core_models : bool = Field(default=False, description='Ignore missing models in models/core/convert')
-
-    model               : str = Field(default='stable-diffusion-1.5', description='Initial model name', category='Models')
+    ignore_missing_core_models : bool = Field(default=False, description='Ignore missing models in models/core/convert', category='Features')
 
     log_handlers        : List[str] = Field(default=["console"], description='Log handler. Valid options are "console", "file=<path>", "syslog=path|address:host:port", "http=<url>"', category="Logging")
     # note - would be better to read the log_format values from logging.py, but this creates circular dependencies issues

From 96b7248051744b8c3b9a077a4e3fddd619892800 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Tue, 8 Aug 2023 18:50:36 +0300
Subject: [PATCH 122/287] Add mask to l2l

---
 invokeai/app/invocations/latent.py            | 31 ++++++-
 .../stable_diffusion/diffusers_pipeline.py    | 91 +++++++++++++++----
 2 files changed, 102 insertions(+), 20 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 1fbcb2941a..3872a04f7e 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -41,6 +41,9 @@ from diffusers.models.attention_processor import (
     XFormersAttnProcessor,
 )
 
+import torchvision.transforms as T
+from torchvision.transforms.functional import resize as tv_resize
+
 
 DEFAULT_PRECISION = choose_precision(choose_torch_device())
 
@@ -397,6 +400,7 @@ class TextToLatentsInvocation(BaseInvocation):
                 result_latents, result_attention_map_saver = pipeline.latents_from_embeddings(
                     latents=torch.zeros_like(noise, dtype=torch_dtype(unet.device)),
                     noise=noise,
+                    seed=seed,
                     timesteps=timesteps,
                     num_inference_steps=num_inference_steps,
                     conditioning_data=conditioning_data,
@@ -424,7 +428,11 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
     denoising_start: float = Field(default=0.0, ge=0, le=1, description="")
     #denoising_end: float = Field(default=1.0, ge=0, le=1, description="")
 
-    latents: Optional[LatentsField] = Field(description="The latents to use as a base image")    
+    latents: Optional[LatentsField] = Field(description="The latents to use as a base image")
+
+    mask: Optional[ImageField] = Field(
+        None, description="Mask",
+    )
 
     # Schema customisation
     class Config(InvocationConfig):
@@ -440,6 +448,22 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
             },
         }
 
+    def prep_mask_tensor(self, mask, context, lantents):
+        if mask is None:
+            return None
+
+        mask_image = context.services.images.get_pil_image(mask.image_name)
+        if mask_image.mode != "L":
+            # FIXME: why do we get passed an RGB image here? We can only use single-channel.
+            mask_image = mask_image.convert("L")
+        mask_tensor = image_resized_to_grid_as_tensor(mask_image, normalize=False)
+        if mask_tensor.dim() == 3:
+            mask_tensor = mask_tensor.unsqueeze(0)
+        mask_tensor = tv_resize(
+            mask_tensor, lantents.shape[-2:], T.InterpolationMode.BILINEAR
+        )
+        return mask_tensor
+
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> LatentsOutput:
         with SilenceWarnings():  # this quenches NSFW nag from diffusers
@@ -452,6 +476,8 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
                 if self.noise.seed is not None:
                     seed = self.noise.seed
 
+            mask = self.prep_mask_tensor(self.mask, context, latent)
+
             # Get the source node id (we are invoking the prepared node)
             graph_execution_state = context.services.graph_execution_manager.get(context.graph_execution_state_id)
             source_node_id = graph_execution_state.prepared_source_mapping[self.id]
@@ -479,6 +505,7 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
                 if noise is not None:
                     noise = noise.to(device=unet.device, dtype=unet.dtype)
                 latent = latent.to(device=unet.device, dtype=unet.dtype)
+                mask = mask.to(device=unet.device, dtype=unet.dtype)
 
                 scheduler = get_scheduler(
                     context=context,
@@ -516,6 +543,8 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
                     latents=initial_latents,
                     timesteps=timesteps,
                     noise=noise,
+                    seed=seed,
+                    mask=mask,
                     num_inference_steps=num_inference_steps,
                     conditioning_data=conditioning_data,
                     control_data=control_data,  # list[ControlNetData]
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 9d080e648d..8623ef9bfb 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -100,7 +100,7 @@ class AddsMaskGuidance:
     mask: torch.FloatTensor
     mask_latents: torch.FloatTensor
     scheduler: SchedulerMixin
-    noise: torch.Tensor
+    noise: Optional[torch.Tensor] = None
     _debug: Optional[Callable] = None
 
     def __call__(self, step_output: Union[BaseOutput, SchedulerOutput], t: torch.Tensor, conditioning) -> BaseOutput:
@@ -131,11 +131,10 @@ class AddsMaskGuidance:
             # some schedulers expect t to be one-dimensional.
             # TODO: file diffusers bug about inconsistency?
             t = einops.repeat(t, "-> batch", batch=batch_size)
-        # Noise shouldn't be re-randomized between steps here. The multistep schedulers
-        # get very confused about what is happening from step to step when we do that.
-        mask_latents = self.scheduler.add_noise(self.mask_latents, self.noise, t)
-        # TODO: Do we need to also apply scheduler.scale_model_input? Or is add_noise appropriately scaled already?
-        # mask_latents = self.scheduler.scale_model_input(mask_latents, t)
+
+        if self.noise is not None:
+            mask_latents = self.scheduler.add_noise(self.mask_latents, self.noise, t)
+
         mask_latents = einops.repeat(mask_latents, "b c h w -> (repeat b) c h w", repeat=batch_size)
         masked_input = torch.lerp(mask_latents.to(dtype=latents.dtype), latents, mask.to(dtype=latents.dtype))
         if self._debug:
@@ -408,7 +407,10 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         additional_guidance: List[Callable] = None,
         callback: Callable[[PipelineIntermediateState], None] = None,
         control_data: List[ControlNetData] = None,
+        mask: Optional[torch.Tensor] = None,
+        seed: Optional[int] = None,
     ) -> tuple[torch.Tensor, Optional[AttentionMapSaver]]:
+        # TODO:
         if self.scheduler.config.get("cpu_only", False):
             scheduler_device = torch.device("cpu")
         else:
@@ -417,19 +419,74 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         if timesteps is None:
             self.scheduler.set_timesteps(num_inference_steps, device=scheduler_device)
             timesteps = self.scheduler.timesteps
+
         infer_latents_from_embeddings = GeneratorToCallbackinator(
             self.generate_latents_from_embeddings, PipelineIntermediateState
         )
-        result: PipelineIntermediateState = infer_latents_from_embeddings(
-            latents,
-            timesteps,
-            conditioning_data,
-            noise=noise,
-            additional_guidance=additional_guidance,
-            control_data=control_data,
-            callback=callback,
+
+        if additional_guidance is None:
+            additional_guidance = []
+
+        orig_latents = latents.clone()
+
+        batch_size = latents.shape[0]
+        batched_t = torch.full(
+            (batch_size,),
+            timesteps[0],
+            dtype=timesteps.dtype,
+            device=self.unet.device,
         )
-        return result.latents, result.attention_map_saver
+
+        if noise is not None:
+            #latents = noise * self.scheduler.init_noise_sigma # it's like in t2l according to diffusers
+            latents = self.scheduler.add_noise(latents, noise, batched_t)
+
+        else:
+            # if no noise provided, noisify unmasked area based on seed(or 0 as fallback)
+            if mask is not None:
+                noise = torch.randn(
+                    orig_latents.shape,
+                    dtype=torch.float32,
+                    device="cpu",
+                    generator=torch.Generator(device="cpu").manual_seed(seed or 0),
+                ).to(device=orig_latents.device, dtype=orig_latents.dtype)
+
+                latents = self.scheduler.add_noise(latents, noise, batched_t)
+                latents = torch.lerp(orig_latents, latents.to(dtype=orig_latents.dtype), mask.to(dtype=orig_latents.dtype))
+
+
+        if mask is not None:
+            if is_inpainting_model(self.unet):
+                # You'd think the inpainting model wouldn't be paying attention to the area it is going to repaint
+                # (that's why there's a mask!) but it seems to really want that blanked out.
+                #masked_latents = latents * torch.where(mask < 0.5, 1, 0) TODO: inpaint/outpaint/infill
+
+                # TODO: we should probably pass this in so we don't have to try/finally around setting it.
+                self.invokeai_diffuser.model_forward_callback = AddsMaskLatents(
+                    self._unet_forward, mask, orig_latents
+                )
+            else:
+                additional_guidance.append(AddsMaskGuidance(mask, orig_latents, self.scheduler, noise))
+
+        try:
+            result: PipelineIntermediateState = infer_latents_from_embeddings(
+                latents,
+                timesteps,
+                conditioning_data,
+                additional_guidance=additional_guidance,
+                control_data=control_data,
+                callback=callback,
+            )
+        finally:
+            self.invokeai_diffuser.model_forward_callback = self._unet_forward
+
+        latents = result.latents
+
+        # restore unmasked part
+        if mask is not None:
+            latents = torch.lerp(orig_latents, latents.to(dtype=orig_latents.dtype), mask.to(dtype=orig_latents.dtype))
+
+        return latents, result.attention_map_saver
 
     def generate_latents_from_embeddings(
         self,
@@ -437,7 +494,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         timesteps,
         conditioning_data: ConditioningData,
         *,
-        noise: Optional[torch.Tensor],
         additional_guidance: List[Callable] = None,
         control_data: List[ControlNetData] = None,
     ):
@@ -457,9 +513,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 dtype=timesteps.dtype,
                 device=self._model_group.device_for(self.unet),
             )
-            if noise is not None:
-                #latents = noise * self.scheduler.init_noise_sigma # it's like in t2l according to diffusers
-                latents = self.scheduler.add_noise(latents, noise, batched_t)
 
             yield PipelineIntermediateState(
                 step=-1,

From f56f19710dc7771c9b59ea119016caaaa27d8e5c Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Tue, 8 Aug 2023 12:27:25 -0400
Subject: [PATCH 123/287] allow user to interactively resize screen before UI
 runs

---
 .../backend/install/invokeai_configure.py     | 15 +++--
 invokeai/frontend/install/model_install.py    | 13 ++--
 invokeai/frontend/install/widgets.py          | 59 +++++++++++--------
 3 files changed, 52 insertions(+), 35 deletions(-)

diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py
index 692eff8867..18fb2352f3 100755
--- a/invokeai/backend/install/invokeai_configure.py
+++ b/invokeai/backend/install/invokeai_configure.py
@@ -52,11 +52,11 @@ from invokeai.frontend.install.widgets import (
     CenteredButtonPress,
     FileBox,
     IntTitleSlider,
-    FloatTitleSlider,
     set_min_terminal_size,
     CyclingForm,
     MIN_COLS,
     MIN_LINES,
+    WindowTooSmallException,
 )
 from invokeai.backend.install.legacy_arg_parsing import legacy_parser
 from invokeai.backend.install.model_install_backend import (
@@ -395,7 +395,7 @@ Use cursor arrows to make a checkbox selection, and space to toggle.
         )
         self.max_cache_size = self.add_widget_intelligent(
             IntTitleSlider,
-            name="RAM cache size (GB). Make this at least large enough to hold a single model. Larger sizes will allow you to switch between models quickly without reading from disk.",
+            name="RAM cache size (GB). Make this at least large enough to hold a single full model.",
             value=old_opts.max_cache_size,
             out_of=MAX_RAM,
             lowest=3,
@@ -440,7 +440,7 @@ Use cursor arrows to make a checkbox selection, and space to toggle.
         self.autoimport_dirs = {}
         self.autoimport_dirs["autoimport_dir"] = self.add_widget_intelligent(
             FileBox,
-            name=f"Folder to recursively scan for new checkpoints, ControlNets, LoRAs and TI models",
+            name="Folder to recursively scan for new checkpoints, ControlNets, LoRAs and TI models",
             value=str(config.root_path / config.autoimport_dir),
             select_dir=True,
             must_exist=False,
@@ -635,9 +635,10 @@ def run_console_ui(program_opts: Namespace, initfile: Path = None) -> (Namespace
     invokeai_opts = default_startup_options(initfile)
     invokeai_opts.root = program_opts.root
 
-    # The third argument is needed in the Windows 11 environment to
-    # launch a console window running this program.
-    set_min_terminal_size(MIN_COLS, MIN_LINES)
+    if not set_min_terminal_size(MIN_COLS, MIN_LINES):
+        raise WindowTooSmallException(
+            "Could not increase terminal size. Try running again with a larger window or smaller font size."
+        )
 
     # the install-models application spawns a subprocess to install
     # models, and will crash unless this is set before running.
@@ -842,6 +843,8 @@ def main():
         postscript(errors=errors)
         if not opt.yes_to_all:
             input("Press any key to continue...")
+    except WindowTooSmallException as e:
+        logger.error(str(e))
     except KeyboardInterrupt:
         print("\nGoodbye! Come back soon.")
 
diff --git a/invokeai/frontend/install/model_install.py b/invokeai/frontend/install/model_install.py
index 0633553a3d..55e45931e3 100644
--- a/invokeai/frontend/install/model_install.py
+++ b/invokeai/frontend/install/model_install.py
@@ -28,7 +28,6 @@ from npyscreen import widget
 from invokeai.backend.util.logging import InvokeAILogger
 
 from invokeai.backend.install.model_install_backend import (
-    ModelInstallList,
     InstallSelections,
     ModelInstall,
     SchedulerPredictionType,
@@ -41,12 +40,12 @@ from invokeai.frontend.install.widgets import (
     SingleSelectColumns,
     TextBox,
     BufferBox,
-    FileBox,
     set_min_terminal_size,
     select_stable_diffusion_config_file,
     CyclingForm,
     MIN_COLS,
     MIN_LINES,
+    WindowTooSmallException,
 )
 from invokeai.app.services.config import InvokeAIAppConfig
 
@@ -156,7 +155,7 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
             BufferBox,
             name="Log Messages",
             editable=False,
-            max_height=15,
+            max_height=6,
         )
 
         self.nextrely += 1
@@ -693,7 +692,11 @@ def select_and_download_models(opt: Namespace):
         # needed to support the probe() method running under a subprocess
         torch.multiprocessing.set_start_method("spawn")
 
-        set_min_terminal_size(MIN_COLS, MIN_LINES)
+        if not set_min_terminal_size(MIN_COLS, MIN_LINES):
+            raise WindowTooSmallException(
+                "Could not increase terminal size. Try running again with a larger window or smaller font size."
+            )
+
         installApp = AddModelApplication(opt)
         try:
             installApp.run()
@@ -787,6 +790,8 @@ def main():
         curses.echo()
         curses.endwin()
         logger.info("Goodbye! Come back soon.")
+    except WindowTooSmallException as e:
+        logger.error(str(e))
     except widget.NotEnoughSpaceForWidget as e:
         if str(e).startswith("Height of 1 allocated"):
             logger.error("Insufficient vertical space for the interface. Please make your window taller and try again")
diff --git a/invokeai/frontend/install/widgets.py b/invokeai/frontend/install/widgets.py
index c1481035d5..156503f0b8 100644
--- a/invokeai/frontend/install/widgets.py
+++ b/invokeai/frontend/install/widgets.py
@@ -21,31 +21,40 @@ MIN_COLS = 130
 MIN_LINES = 38
 
 
+class WindowTooSmallException(Exception):
+    pass
+
+
 # -------------------------------------
-def set_terminal_size(columns: int, lines: int):
-    ts = get_terminal_size()
-    width = max(columns, ts.columns)
-    height = max(lines, ts.lines)
-
+def set_terminal_size(columns: int, lines: int) -> bool:
     OS = platform.uname().system
-    if OS == "Windows":
-        pass
-        # not working reliably - ask user to adjust the window
-        # _set_terminal_size_powershell(width,height)
-    elif OS in ["Darwin", "Linux"]:
-        _set_terminal_size_unix(width, height)
+    screen_ok = False
+    while not screen_ok:
+        ts = get_terminal_size()
+        width = max(columns, ts.columns)
+        height = max(lines, ts.lines)
 
-    # check whether it worked....
-    ts = get_terminal_size()
-    pause = False
-    if ts.columns < columns:
-        print("\033[1mThis window is too narrow for the user interface.\033[0m")
-        pause = True
-    if ts.lines < lines:
-        print("\033[1mThis window is too short for the user interface.\033[0m")
-        pause = True
-    if pause:
-        input("Maximize the window then press any key to continue..")
+        if OS == "Windows":
+            pass
+            # not working reliably - ask user to adjust the window
+            # _set_terminal_size_powershell(width,height)
+        elif OS in ["Darwin", "Linux"]:
+            _set_terminal_size_unix(width, height)
+
+        # check whether it worked....
+        ts = get_terminal_size()
+        if ts.columns < columns or ts.lines < lines:
+            print(
+                f"\033[1mThis window is too small for the interface. InvokeAI requires {columns}x{lines} (w x h) characters, but window is {ts.columns}x{ts.lines}\033[0m"
+            )
+            resp = input(
+                "Maximize the window and/or decrease the font size then press any key to continue. Type [Q] to give up.."
+            )
+            if resp.upper().startswith("Q"):
+                break
+        else:
+            screen_ok = True
+    return screen_ok
 
 
 def _set_terminal_size_powershell(width: int, height: int):
@@ -80,14 +89,14 @@ def _set_terminal_size_unix(width: int, height: int):
     sys.stdout.flush()
 
 
-def set_min_terminal_size(min_cols: int, min_lines: int):
+def set_min_terminal_size(min_cols: int, min_lines: int) -> bool:
     # make sure there's enough room for the ui
     term_cols, term_lines = get_terminal_size()
     if term_cols >= min_cols and term_lines >= min_lines:
-        return
+        return True
     cols = max(term_cols, min_cols)
     lines = max(term_lines, min_lines)
-    set_terminal_size(cols, lines)
+    return set_terminal_size(cols, lines)
 
 
 class IntSlider(npyscreen.Slider):

From da0184a786177fe0e281f4c4b1a671ac5839b38d Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Tue, 8 Aug 2023 20:01:49 +0300
Subject: [PATCH 124/287] Invert mask, fix l2l on no mask conntected, remove
 zeroing latents on zero start

---
 invokeai/app/invocations/latent.py | 14 +++++---------
 1 file changed, 5 insertions(+), 9 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 3872a04f7e..d658637aad 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -462,7 +462,7 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
         mask_tensor = tv_resize(
             mask_tensor, lantents.shape[-2:], T.InterpolationMode.BILINEAR
         )
-        return mask_tensor
+        return 1 - mask_tensor
 
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> LatentsOutput:
@@ -502,10 +502,11 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
             with ExitStack() as exit_stack, ModelPatcher.apply_lora_unet(
                 unet_info.context.model, _lora_loader()
             ), unet_info as unet:
+                latent = latent.to(device=unet.device, dtype=unet.dtype)
                 if noise is not None:
                     noise = noise.to(device=unet.device, dtype=unet.dtype)
-                latent = latent.to(device=unet.device, dtype=unet.dtype)
-                mask = mask.to(device=unet.device, dtype=unet.dtype)
+                if mask is not None:
+                    mask = mask.to(device=unet.device, dtype=unet.dtype)
 
                 scheduler = get_scheduler(
                     context=context,
@@ -526,11 +527,6 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
                     exit_stack=exit_stack,
                 )
 
-                # TODO: Verify the noise is the right size
-                initial_latents = latent
-                if self.denoising_start <= 0.0:
-                    initial_latents = torch.zeros_like(latent, device=unet.device, dtype=latent.dtype)
-
                 num_inference_steps, timesteps = self.init_scheduler(
                     scheduler,
                     device=unet.device,
@@ -540,7 +536,7 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
                 )
 
                 result_latents, result_attention_map_saver = pipeline.latents_from_embeddings(
-                    latents=initial_latents,
+                    latents=latent,
                     timesteps=timesteps,
                     noise=noise,
                     seed=seed,

From a7e44678fb9f4242916045d730a711d265c8c57f Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Tue, 8 Aug 2023 20:49:01 +0300
Subject: [PATCH 125/287] Remove legacy/unused code

---
 invokeai/app/invocations/generate.py          | 253 --------
 invokeai/app/util/step_callback.py            |  55 --
 invokeai/backend/__init__.py                  |   1 -
 invokeai/backend/generator/__init__.py        |  12 -
 invokeai/backend/generator/base.py            | 559 ------------------
 invokeai/backend/generator/img2img.py         |  92 ---
 invokeai/backend/generator/inpaint.py         | 379 ------------
 .../stable_diffusion/diffusers_pipeline.py    | 224 +------
 .../diffusion/shared_invokeai_diffusion.py    |  70 ---
 .../backend/stable_diffusion/offloading.py    | 253 --------
 10 files changed, 5 insertions(+), 1893 deletions(-)
 delete mode 100644 invokeai/app/invocations/generate.py
 delete mode 100644 invokeai/backend/generator/__init__.py
 delete mode 100644 invokeai/backend/generator/base.py
 delete mode 100644 invokeai/backend/generator/img2img.py
 delete mode 100644 invokeai/backend/generator/inpaint.py
 delete mode 100644 invokeai/backend/stable_diffusion/offloading.py

diff --git a/invokeai/app/invocations/generate.py b/invokeai/app/invocations/generate.py
deleted file mode 100644
index 1239d578d9..0000000000
--- a/invokeai/app/invocations/generate.py
+++ /dev/null
@@ -1,253 +0,0 @@
-# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
-
-from functools import partial
-from typing import Literal, Optional, get_args
-
-import torch
-from pydantic import Field
-
-from invokeai.app.models.image import ColorField, ImageCategory, ImageField, ResourceOrigin
-from invokeai.app.util.misc import SEED_MAX, get_random_seed
-from invokeai.backend.generator.inpaint import infill_methods
-
-from ...backend.generator import Inpaint, InvokeAIGenerator
-from ...backend.stable_diffusion import PipelineIntermediateState
-from ..util.step_callback import stable_diffusion_step_callback
-from .baseinvocation import BaseInvocation, InvocationConfig, InvocationContext
-from .image import ImageOutput
-
-from ...backend.model_management import ModelPatcher, BaseModelType
-from ...backend.stable_diffusion.diffusers_pipeline import StableDiffusionGeneratorPipeline
-from .model import UNetField, VaeField
-from .compel import ConditioningField
-from contextlib import contextmanager, ExitStack, ContextDecorator
-
-SAMPLER_NAME_VALUES = Literal[tuple(InvokeAIGenerator.schedulers())]
-INFILL_METHODS = Literal[tuple(infill_methods())]
-DEFAULT_INFILL_METHOD = "patchmatch" if "patchmatch" in get_args(INFILL_METHODS) else "tile"
-
-
-from .latent import get_scheduler
-
-
-class OldModelContext(ContextDecorator):
-    model: StableDiffusionGeneratorPipeline
-
-    def __init__(self, model):
-        self.model = model
-
-    def __enter__(self):
-        return self.model
-
-    def __exit__(self, *exc):
-        return False
-
-
-class OldModelInfo:
-    name: str
-    hash: str
-    context: OldModelContext
-
-    def __init__(self, name: str, hash: str, model: StableDiffusionGeneratorPipeline):
-        self.name = name
-        self.hash = hash
-        self.context = OldModelContext(
-            model=model,
-        )
-
-
-class InpaintInvocation(BaseInvocation):
-    """Generates an image using inpaint."""
-
-    type: Literal["inpaint"] = "inpaint"
-
-    positive_conditioning: Optional[ConditioningField] = Field(description="Positive conditioning for generation")
-    negative_conditioning: Optional[ConditioningField] = Field(description="Negative conditioning for generation")
-    seed: int = Field(
-        ge=0, le=SEED_MAX, description="The seed to use (omit for random)", default_factory=get_random_seed
-    )
-    steps: int = Field(default=30, gt=0, description="The number of steps to use to generate the image")
-    width: int = Field(
-        default=512,
-        multiple_of=8,
-        gt=0,
-        description="The width of the resulting image",
-    )
-    height: int = Field(
-        default=512,
-        multiple_of=8,
-        gt=0,
-        description="The height of the resulting image",
-    )
-    cfg_scale: float = Field(
-        default=7.5,
-        ge=1,
-        description="The Classifier-Free Guidance, higher values may result in a result closer to the prompt",
-    )
-    scheduler: SAMPLER_NAME_VALUES = Field(default="euler", description="The scheduler to use")
-    unet: UNetField = Field(default=None, description="UNet model")
-    vae: VaeField = Field(default=None, description="Vae model")
-
-    # Inputs
-    image: Optional[ImageField] = Field(description="The input image")
-    strength: float = Field(default=0.75, gt=0, le=1, description="The strength of the original image")
-    fit: bool = Field(
-        default=True,
-        description="Whether or not the result should be fit to the aspect ratio of the input image",
-    )
-
-    # Inputs
-    mask: Optional[ImageField] = Field(description="The mask")
-    seam_size: int = Field(default=96, ge=1, description="The seam inpaint size (px)")
-    seam_blur: int = Field(default=16, ge=0, description="The seam inpaint blur radius (px)")
-    seam_strength: float = Field(default=0.75, gt=0, le=1, description="The seam inpaint strength")
-    seam_steps: int = Field(default=30, ge=1, description="The number of steps to use for seam inpaint")
-    tile_size: int = Field(default=32, ge=1, description="The tile infill method size (px)")
-    infill_method: INFILL_METHODS = Field(
-        default=DEFAULT_INFILL_METHOD,
-        description="The method used to infill empty regions (px)",
-    )
-    inpaint_width: Optional[int] = Field(
-        default=None,
-        multiple_of=8,
-        gt=0,
-        description="The width of the inpaint region (px)",
-    )
-    inpaint_height: Optional[int] = Field(
-        default=None,
-        multiple_of=8,
-        gt=0,
-        description="The height of the inpaint region (px)",
-    )
-    inpaint_fill: Optional[ColorField] = Field(
-        default=ColorField(r=127, g=127, b=127, a=255),
-        description="The solid infill method color",
-    )
-    inpaint_replace: float = Field(
-        default=0.0,
-        ge=0.0,
-        le=1.0,
-        description="The amount by which to replace masked areas with latent noise",
-    )
-
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"tags": ["stable-diffusion", "image"], "title": "Inpaint"},
-        }
-
-    def dispatch_progress(
-        self,
-        context: InvocationContext,
-        source_node_id: str,
-        base_model: BaseModelType,
-        intermediate_state: PipelineIntermediateState,
-    ) -> None:
-        stable_diffusion_step_callback(
-            context=context,
-            intermediate_state=intermediate_state,
-            node=self.dict(),
-            source_node_id=source_node_id,
-            base_model=base_model,
-        )
-
-    def get_conditioning(self, context, unet):
-        positive_cond_data = context.services.latents.get(self.positive_conditioning.conditioning_name)
-        c = positive_cond_data.conditionings[0].to(device=unet.device, dtype=unet.dtype)
-        extra_conditioning_info = c.extra_conditioning
-
-        negative_cond_data = context.services.latents.get(self.negative_conditioning.conditioning_name)
-        uc = negative_cond_data.conditionings[0].to(device=unet.device, dtype=unet.dtype)
-
-        return (uc, c, extra_conditioning_info)
-
-    @contextmanager
-    def load_model_old_way(self, context, scheduler):
-        def _lora_loader():
-            for lora in self.unet.loras:
-                lora_info = context.services.model_manager.get_model(
-                    **lora.dict(exclude={"weight"}),
-                    context=context,
-                )
-                yield (lora_info.context.model, lora.weight)
-                del lora_info
-            return
-
-        unet_info = context.services.model_manager.get_model(
-            **self.unet.unet.dict(),
-            context=context,
-        )
-        vae_info = context.services.model_manager.get_model(
-            **self.vae.vae.dict(),
-            context=context,
-        )
-
-        with vae_info as vae, ModelPatcher.apply_lora_unet(unet_info.context.model, _lora_loader()), unet_info as unet:
-            device = context.services.model_manager.mgr.cache.execution_device
-            dtype = context.services.model_manager.mgr.cache.precision
-
-            pipeline = StableDiffusionGeneratorPipeline(
-                vae=vae,
-                text_encoder=None,
-                tokenizer=None,
-                unet=unet,
-                scheduler=scheduler,
-                safety_checker=None,
-                feature_extractor=None,
-                requires_safety_checker=False,
-                precision="float16" if dtype == torch.float16 else "float32",
-                execution_device=device,
-            )
-
-            yield OldModelInfo(
-                name=self.unet.unet.model_name,
-                hash="<NO-HASH>",
-                model=pipeline,
-            )
-
-    def invoke(self, context: InvocationContext) -> ImageOutput:
-        image = None if self.image is None else context.services.images.get_pil_image(self.image.image_name)
-        mask = None if self.mask is None else context.services.images.get_pil_image(self.mask.image_name)
-
-        # Get the source node id (we are invoking the prepared node)
-        graph_execution_state = context.services.graph_execution_manager.get(context.graph_execution_state_id)
-        source_node_id = graph_execution_state.prepared_source_mapping[self.id]
-
-        scheduler = get_scheduler(
-            context=context,
-            scheduler_info=self.unet.scheduler,
-            scheduler_name=self.scheduler,
-        )
-
-        with self.load_model_old_way(context, scheduler) as model:
-            conditioning = self.get_conditioning(context, model.context.model.unet)
-
-            outputs = Inpaint(model).generate(
-                conditioning=conditioning,
-                scheduler=scheduler,
-                init_image=image,
-                mask_image=mask,
-                step_callback=partial(self.dispatch_progress, context, source_node_id, self.unet.unet.base_model),
-                **self.dict(
-                    exclude={"positive_conditioning", "negative_conditioning", "scheduler", "image", "mask"}
-                ),  # Shorthand for passing all of the parameters above manually
-            )
-
-            # Outputs is an infinite iterator that will return a new InvokeAIGeneratorOutput object
-            # each time it is called. We only need the first one.
-            generator_output = next(outputs)
-
-            image_dto = context.services.images.create(
-                image=generator_output.image,
-                image_origin=ResourceOrigin.INTERNAL,
-                image_category=ImageCategory.GENERAL,
-                session_id=context.graph_execution_state_id,
-                node_id=self.id,
-                is_intermediate=self.is_intermediate,
-            )
-
-            return ImageOutput(
-                image=ImageField(image_name=image_dto.image_name),
-                width=image_dto.width,
-                height=image_dto.height,
-            )
diff --git a/invokeai/app/util/step_callback.py b/invokeai/app/util/step_callback.py
index aae06913fd..5f802c796a 100644
--- a/invokeai/app/util/step_callback.py
+++ b/invokeai/app/util/step_callback.py
@@ -4,7 +4,6 @@ from invokeai.app.models.exceptions import CanceledException
 from invokeai.app.models.image import ProgressImage
 from ..invocations.baseinvocation import InvocationContext
 from ...backend.util.util import image_to_dataURL
-from ...backend.generator.base import Generator
 from ...backend.stable_diffusion import PipelineIntermediateState
 from invokeai.app.services.config import InvokeAIAppConfig
 from ...backend.model_management.models import BaseModelType
@@ -118,57 +117,3 @@ def stable_diffusion_step_callback(
         step=intermediate_state.step,
         total_steps=node["steps"],
     )
-
-
-def stable_diffusion_xl_step_callback(
-    context: InvocationContext,
-    node: dict,
-    source_node_id: str,
-    sample,
-    step,
-    total_steps,
-):
-    if context.services.queue.is_canceled(context.graph_execution_state_id):
-        raise CanceledException
-
-    sdxl_latent_rgb_factors = torch.tensor(
-        [
-            #   R        G        B
-            [0.3816, 0.4930, 0.5320],
-            [-0.3753, 0.1631, 0.1739],
-            [0.1770, 0.3588, -0.2048],
-            [-0.4350, -0.2644, -0.4289],
-        ],
-        dtype=sample.dtype,
-        device=sample.device,
-    )
-
-    sdxl_smooth_matrix = torch.tensor(
-        [
-            # [ 0.0478,  0.1285,  0.0478],
-            # [ 0.1285,  0.2948,  0.1285],
-            # [ 0.0478,  0.1285,  0.0478],
-            [0.0358, 0.0964, 0.0358],
-            [0.0964, 0.4711, 0.0964],
-            [0.0358, 0.0964, 0.0358],
-        ],
-        dtype=sample.dtype,
-        device=sample.device,
-    )
-
-    image = sample_to_lowres_estimated_image(sample, sdxl_latent_rgb_factors, sdxl_smooth_matrix)
-
-    (width, height) = image.size
-    width *= 8
-    height *= 8
-
-    dataURL = image_to_dataURL(image, image_format="JPEG")
-
-    context.services.events.emit_generator_progress(
-        graph_execution_state_id=context.graph_execution_state_id,
-        node=node,
-        source_node_id=source_node_id,
-        progress_image=ProgressImage(width=width, height=height, dataURL=dataURL),
-        step=step,
-        total_steps=total_steps,
-    )
diff --git a/invokeai/backend/__init__.py b/invokeai/backend/__init__.py
index aa2a1f1ca6..a4e6f180ae 100644
--- a/invokeai/backend/__init__.py
+++ b/invokeai/backend/__init__.py
@@ -1,6 +1,5 @@
 """
 Initialization file for invokeai.backend
 """
-from .generator import InvokeAIGeneratorBasicParams, InvokeAIGenerator, InvokeAIGeneratorOutput, Img2Img, Inpaint
 from .model_management import ModelManager, ModelCache, BaseModelType, ModelType, SubModelType, ModelInfo
 from .model_management.models import SilenceWarnings
diff --git a/invokeai/backend/generator/__init__.py b/invokeai/backend/generator/__init__.py
deleted file mode 100644
index 8a7f1c9167..0000000000
--- a/invokeai/backend/generator/__init__.py
+++ /dev/null
@@ -1,12 +0,0 @@
-"""
-Initialization file for the invokeai.generator package
-"""
-from .base import (
-    InvokeAIGenerator,
-    InvokeAIGeneratorBasicParams,
-    InvokeAIGeneratorOutput,
-    Img2Img,
-    Inpaint,
-    Generator,
-)
-from .inpaint import infill_methods
diff --git a/invokeai/backend/generator/base.py b/invokeai/backend/generator/base.py
deleted file mode 100644
index af3231a7d1..0000000000
--- a/invokeai/backend/generator/base.py
+++ /dev/null
@@ -1,559 +0,0 @@
-"""
-Base class for invokeai.backend.generator.*
-including img2img, txt2img, and inpaint
-"""
-from __future__ import annotations
-
-import itertools
-import dataclasses
-import diffusers
-import os
-import random
-import traceback
-from abc import ABCMeta
-from argparse import Namespace
-from contextlib import nullcontext
-
-import cv2
-import numpy as np
-import torch
-from PIL import Image, ImageChops, ImageFilter
-from accelerate.utils import set_seed
-from diffusers import DiffusionPipeline
-from tqdm import trange
-from typing import Callable, List, Iterator, Optional, Type, Union
-from dataclasses import dataclass, field
-from diffusers.schedulers import SchedulerMixin as Scheduler
-
-import invokeai.backend.util.logging as logger
-from ..image_util import configure_model_padding
-from ..util.util import rand_perlin_2d
-from ..stable_diffusion.diffusers_pipeline import StableDiffusionGeneratorPipeline
-from ..stable_diffusion.schedulers import SCHEDULER_MAP
-
-downsampling = 8
-
-
-@dataclass
-class InvokeAIGeneratorBasicParams:
-    seed: Optional[int] = None
-    width: int = 512
-    height: int = 512
-    cfg_scale: float = 7.5
-    steps: int = 20
-    ddim_eta: float = 0.0
-    scheduler: str = "ddim"
-    precision: str = "float16"
-    perlin: float = 0.0
-    threshold: float = 0.0
-    seamless: bool = False
-    seamless_axes: List[str] = field(default_factory=lambda: ["x", "y"])
-    h_symmetry_time_pct: Optional[float] = None
-    v_symmetry_time_pct: Optional[float] = None
-    variation_amount: float = 0.0
-    with_variations: list = field(default_factory=list)
-
-
-@dataclass
-class InvokeAIGeneratorOutput:
-    """
-    InvokeAIGeneratorOutput is a dataclass that contains the outputs of a generation
-    operation, including the image, its seed, the model name used to generate the image
-    and the model hash, as well as all the generate() parameters that went into
-    generating the image (in .params, also available as attributes)
-    """
-
-    image: Image.Image
-    seed: int
-    model_hash: str
-    attention_maps_images: List[Image.Image]
-    params: Namespace
-
-
-# we are interposing a wrapper around the original Generator classes so that
-# old code that calls Generate will continue to work.
-class InvokeAIGenerator(metaclass=ABCMeta):
-    def __init__(
-        self,
-        model_info: dict,
-        params: InvokeAIGeneratorBasicParams = InvokeAIGeneratorBasicParams(),
-        **kwargs,
-    ):
-        self.model_info = model_info
-        self.params = params
-        self.kwargs = kwargs
-
-    def generate(
-        self,
-        conditioning: tuple,
-        scheduler,
-        callback: Optional[Callable] = None,
-        step_callback: Optional[Callable] = None,
-        iterations: int = 1,
-        **keyword_args,
-    ) -> Iterator[InvokeAIGeneratorOutput]:
-        """
-        Return an iterator across the indicated number of generations.
-        Each time the iterator is called it will return an InvokeAIGeneratorOutput
-        object. Use like this:
-
-           outputs = txt2img.generate(prompt='banana sushi', iterations=5)
-           for result in outputs:
-               print(result.image, result.seed)
-
-        In the typical case of wanting to get just a single image, iterations
-        defaults to 1 and do:
-
-           output = next(txt2img.generate(prompt='banana sushi')
-
-        Pass None to get an infinite iterator.
-
-           outputs = txt2img.generate(prompt='banana sushi', iterations=None)
-           for o in outputs:
-               print(o.image, o.seed)
-
-        """
-        generator_args = dataclasses.asdict(self.params)
-        generator_args.update(keyword_args)
-
-        model_info = self.model_info
-        model_name = model_info.name
-        model_hash = model_info.hash
-        with model_info.context as model:
-            gen_class = self._generator_class()
-            generator = gen_class(model, self.params.precision, **self.kwargs)
-            if self.params.variation_amount > 0:
-                generator.set_variation(
-                    generator_args.get("seed"),
-                    generator_args.get("variation_amount"),
-                    generator_args.get("with_variations"),
-                )
-
-            if isinstance(model, DiffusionPipeline):
-                for component in [model.unet, model.vae]:
-                    configure_model_padding(
-                        component, generator_args.get("seamless", False), generator_args.get("seamless_axes")
-                    )
-            else:
-                configure_model_padding(
-                    model, generator_args.get("seamless", False), generator_args.get("seamless_axes")
-                )
-
-            iteration_count = range(iterations) if iterations else itertools.count(start=0, step=1)
-            for i in iteration_count:
-                results = generator.generate(
-                    conditioning=conditioning,
-                    step_callback=step_callback,
-                    sampler=scheduler,
-                    **generator_args,
-                )
-                output = InvokeAIGeneratorOutput(
-                    image=results[0][0],
-                    seed=results[0][1],
-                    attention_maps_images=results[0][2],
-                    model_hash=model_hash,
-                    params=Namespace(model_name=model_name, **generator_args),
-                )
-                if callback:
-                    callback(output)
-            yield output
-
-    @classmethod
-    def schedulers(self) -> List[str]:
-        """
-        Return list of all the schedulers that we currently handle.
-        """
-        return list(SCHEDULER_MAP.keys())
-
-    def load_generator(self, model: StableDiffusionGeneratorPipeline, generator_class: Type[Generator]):
-        return generator_class(model, self.params.precision)
-
-    @classmethod
-    def _generator_class(cls) -> Type[Generator]:
-        """
-        In derived classes return the name of the generator to apply.
-        If you don't override will return the name of the derived
-        class, which nicely parallels the generator class names.
-        """
-        return Generator
-
-
-# ------------------------------------
-class Img2Img(InvokeAIGenerator):
-    def generate(
-        self, init_image: Union[Image.Image, torch.FloatTensor], strength: float = 0.75, **keyword_args
-    ) -> Iterator[InvokeAIGeneratorOutput]:
-        return super().generate(init_image=init_image, strength=strength, **keyword_args)
-
-    @classmethod
-    def _generator_class(cls):
-        from .img2img import Img2Img
-
-        return Img2Img
-
-
-# ------------------------------------
-# Takes all the arguments of Img2Img and adds the mask image and the seam/infill stuff
-class Inpaint(Img2Img):
-    def generate(
-        self,
-        mask_image: Union[Image.Image, torch.FloatTensor],
-        # Seam settings - when 0, doesn't fill seam
-        seam_size: int = 96,
-        seam_blur: int = 16,
-        seam_strength: float = 0.7,
-        seam_steps: int = 30,
-        tile_size: int = 32,
-        inpaint_replace=False,
-        infill_method=None,
-        inpaint_width=None,
-        inpaint_height=None,
-        inpaint_fill: tuple(int) = (0x7F, 0x7F, 0x7F, 0xFF),
-        **keyword_args,
-    ) -> Iterator[InvokeAIGeneratorOutput]:
-        return super().generate(
-            mask_image=mask_image,
-            seam_size=seam_size,
-            seam_blur=seam_blur,
-            seam_strength=seam_strength,
-            seam_steps=seam_steps,
-            tile_size=tile_size,
-            inpaint_replace=inpaint_replace,
-            infill_method=infill_method,
-            inpaint_width=inpaint_width,
-            inpaint_height=inpaint_height,
-            inpaint_fill=inpaint_fill,
-            **keyword_args,
-        )
-
-    @classmethod
-    def _generator_class(cls):
-        from .inpaint import Inpaint
-
-        return Inpaint
-
-
-class Generator:
-    downsampling_factor: int
-    latent_channels: int
-    precision: str
-    model: DiffusionPipeline
-
-    def __init__(self, model: DiffusionPipeline, precision: str, **kwargs):
-        self.model = model
-        self.precision = precision
-        self.seed = None
-        self.latent_channels = model.unet.config.in_channels
-        self.downsampling_factor = downsampling  # BUG: should come from model or config
-        self.perlin = 0.0
-        self.threshold = 0
-        self.variation_amount = 0
-        self.with_variations = []
-        self.use_mps_noise = False
-        self.free_gpu_mem = None
-
-    # this is going to be overridden in img2img.py, txt2img.py and inpaint.py
-    def get_make_image(self, **kwargs):
-        """
-        Returns a function returning an image derived from the prompt and the initial image
-        Return value depends on the seed at the time you call it
-        """
-        raise NotImplementedError("image_iterator() must be implemented in a descendent class")
-
-    def set_variation(self, seed, variation_amount, with_variations):
-        self.seed = seed
-        self.variation_amount = variation_amount
-        self.with_variations = with_variations
-
-    def generate(
-        self,
-        width,
-        height,
-        sampler,
-        init_image=None,
-        iterations=1,
-        seed=None,
-        image_callback=None,
-        step_callback=None,
-        threshold=0.0,
-        perlin=0.0,
-        h_symmetry_time_pct=None,
-        v_symmetry_time_pct=None,
-        free_gpu_mem: bool = False,
-        **kwargs,
-    ):
-        scope = nullcontext
-        self.free_gpu_mem = free_gpu_mem
-        attention_maps_images = []
-        attention_maps_callback = lambda saver: attention_maps_images.append(saver.get_stacked_maps_image())
-        make_image = self.get_make_image(
-            sampler=sampler,
-            init_image=init_image,
-            width=width,
-            height=height,
-            step_callback=step_callback,
-            threshold=threshold,
-            perlin=perlin,
-            h_symmetry_time_pct=h_symmetry_time_pct,
-            v_symmetry_time_pct=v_symmetry_time_pct,
-            attention_maps_callback=attention_maps_callback,
-            **kwargs,
-        )
-        results = []
-        seed = seed if seed is not None and seed >= 0 else self.new_seed()
-        first_seed = seed
-        seed, initial_noise = self.generate_initial_noise(seed, width, height)
-
-        # There used to be an additional self.model.ema_scope() here, but it breaks
-        # the inpaint-1.5 model. Not sure what it did.... ?
-        with scope(self.model.device.type):
-            for n in trange(iterations, desc="Generating"):
-                x_T = None
-                if self.variation_amount > 0:
-                    set_seed(seed)
-                    target_noise = self.get_noise(width, height)
-                    x_T = self.slerp(self.variation_amount, initial_noise, target_noise)
-                elif initial_noise is not None:
-                    # i.e. we specified particular variations
-                    x_T = initial_noise
-                else:
-                    set_seed(seed)
-                    try:
-                        x_T = self.get_noise(width, height)
-                    except:
-                        logger.error("An error occurred while getting initial noise")
-                        print(traceback.format_exc())
-
-                # Pass on the seed in case a layer beneath us needs to generate noise on its own.
-                image = make_image(x_T, seed)
-
-                results.append([image, seed, attention_maps_images])
-
-                if image_callback is not None:
-                    attention_maps_image = None if len(attention_maps_images) == 0 else attention_maps_images[-1]
-                    image_callback(
-                        image,
-                        seed,
-                        first_seed=first_seed,
-                        attention_maps_image=attention_maps_image,
-                    )
-
-                seed = self.new_seed()
-
-                # Free up memory from the last generation.
-                clear_cuda_cache = kwargs["clear_cuda_cache"] if "clear_cuda_cache" in kwargs else None
-                if clear_cuda_cache is not None:
-                    clear_cuda_cache()
-
-        return results
-
-    def sample_to_image(self, samples) -> Image.Image:
-        """
-        Given samples returned from a sampler, converts
-        it into a PIL Image
-        """
-        with torch.inference_mode():
-            image = self.model.decode_latents(samples)
-        return self.model.numpy_to_pil(image)[0]
-
-    def repaste_and_color_correct(
-        self,
-        result: Image.Image,
-        init_image: Image.Image,
-        init_mask: Image.Image,
-        mask_blur_radius: int = 8,
-    ) -> Image.Image:
-        if init_image is None or init_mask is None:
-            return result
-
-        # Get the original alpha channel of the mask if there is one.
-        # Otherwise it is some other black/white image format ('1', 'L' or 'RGB')
-        pil_init_mask = init_mask.getchannel("A") if init_mask.mode == "RGBA" else init_mask.convert("L")
-        pil_init_image = init_image.convert("RGBA")  # Add an alpha channel if one doesn't exist
-
-        # Build an image with only visible pixels from source to use as reference for color-matching.
-        init_rgb_pixels = np.asarray(init_image.convert("RGB"), dtype=np.uint8)
-        init_a_pixels = np.asarray(pil_init_image.getchannel("A"), dtype=np.uint8)
-        init_mask_pixels = np.asarray(pil_init_mask, dtype=np.uint8)
-
-        # Get numpy version of result
-        np_image = np.asarray(result, dtype=np.uint8)
-
-        # Mask and calculate mean and standard deviation
-        mask_pixels = init_a_pixels * init_mask_pixels > 0
-        np_init_rgb_pixels_masked = init_rgb_pixels[mask_pixels, :]
-        np_image_masked = np_image[mask_pixels, :]
-
-        if np_init_rgb_pixels_masked.size > 0:
-            init_means = np_init_rgb_pixels_masked.mean(axis=0)
-            init_std = np_init_rgb_pixels_masked.std(axis=0)
-            gen_means = np_image_masked.mean(axis=0)
-            gen_std = np_image_masked.std(axis=0)
-
-            # Color correct
-            np_matched_result = np_image.copy()
-            np_matched_result[:, :, :] = (
-                (
-                    (
-                        (np_matched_result[:, :, :].astype(np.float32) - gen_means[None, None, :])
-                        / gen_std[None, None, :]
-                    )
-                    * init_std[None, None, :]
-                    + init_means[None, None, :]
-                )
-                .clip(0, 255)
-                .astype(np.uint8)
-            )
-            matched_result = Image.fromarray(np_matched_result, mode="RGB")
-        else:
-            matched_result = Image.fromarray(np_image, mode="RGB")
-
-        # Blur the mask out (into init image) by specified amount
-        if mask_blur_radius > 0:
-            nm = np.asarray(pil_init_mask, dtype=np.uint8)
-            nmd = cv2.erode(
-                nm,
-                kernel=np.ones((3, 3), dtype=np.uint8),
-                iterations=int(mask_blur_radius / 2),
-            )
-            pmd = Image.fromarray(nmd, mode="L")
-            blurred_init_mask = pmd.filter(ImageFilter.BoxBlur(mask_blur_radius))
-        else:
-            blurred_init_mask = pil_init_mask
-
-        multiplied_blurred_init_mask = ImageChops.multiply(blurred_init_mask, self.pil_image.split()[-1])
-
-        # Paste original on color-corrected generation (using blurred mask)
-        matched_result.paste(init_image, (0, 0), mask=multiplied_blurred_init_mask)
-        return matched_result
-
-    @staticmethod
-    def sample_to_lowres_estimated_image(samples):
-        # origingally adapted from code by @erucipe and @keturn here:
-        # https://discuss.huggingface.co/t/decoding-latents-to-rgb-without-upscaling/23204/7
-
-        # these updated numbers for v1.5 are from @torridgristle
-        v1_5_latent_rgb_factors = torch.tensor(
-            [
-                #    R        G        B
-                [0.3444, 0.1385, 0.0670],  # L1
-                [0.1247, 0.4027, 0.1494],  # L2
-                [-0.3192, 0.2513, 0.2103],  # L3
-                [-0.1307, -0.1874, -0.7445],  # L4
-            ],
-            dtype=samples.dtype,
-            device=samples.device,
-        )
-
-        latent_image = samples[0].permute(1, 2, 0) @ v1_5_latent_rgb_factors
-        latents_ubyte = (
-            ((latent_image + 1) / 2).clamp(0, 1).mul(0xFF).byte()  # change scale from -1..1 to 0..1  # to 0..255
-        ).cpu()
-
-        return Image.fromarray(latents_ubyte.numpy())
-
-    def generate_initial_noise(self, seed, width, height):
-        initial_noise = None
-        if self.variation_amount > 0 or len(self.with_variations) > 0:
-            # use fixed initial noise plus random noise per iteration
-            set_seed(seed)
-            initial_noise = self.get_noise(width, height)
-            for v_seed, v_weight in self.with_variations:
-                seed = v_seed
-                set_seed(seed)
-                next_noise = self.get_noise(width, height)
-                initial_noise = self.slerp(v_weight, initial_noise, next_noise)
-            if self.variation_amount > 0:
-                random.seed()  # reset RNG to an actually random state, so we can get a random seed for variations
-                seed = random.randrange(0, np.iinfo(np.uint32).max)
-        return (seed, initial_noise)
-
-    def get_perlin_noise(self, width, height):
-        fixdevice = "cpu" if (self.model.device.type == "mps") else self.model.device
-        # limit noise to only the diffusion image channels, not the mask channels
-        input_channels = min(self.latent_channels, 4)
-        # round up to the nearest block of 8
-        temp_width = int((width + 7) / 8) * 8
-        temp_height = int((height + 7) / 8) * 8
-        noise = torch.stack(
-            [
-                rand_perlin_2d((temp_height, temp_width), (8, 8), device=self.model.device).to(fixdevice)
-                for _ in range(input_channels)
-            ],
-            dim=0,
-        ).to(self.model.device)
-        return noise[0:4, 0:height, 0:width]
-
-    def new_seed(self):
-        self.seed = random.randrange(0, np.iinfo(np.uint32).max)
-        return self.seed
-
-    def slerp(self, t, v0, v1, DOT_THRESHOLD=0.9995):
-        """
-        Spherical linear interpolation
-        Args:
-            t (float/np.ndarray): Float value between 0.0 and 1.0
-            v0 (np.ndarray): Starting vector
-            v1 (np.ndarray): Final vector
-            DOT_THRESHOLD (float): Threshold for considering the two vectors as
-                                colineal. Not recommended to alter this.
-        Returns:
-            v2 (np.ndarray): Interpolation vector between v0 and v1
-        """
-        inputs_are_torch = False
-        if not isinstance(v0, np.ndarray):
-            inputs_are_torch = True
-            v0 = v0.detach().cpu().numpy()
-        if not isinstance(v1, np.ndarray):
-            inputs_are_torch = True
-            v1 = v1.detach().cpu().numpy()
-
-        dot = np.sum(v0 * v1 / (np.linalg.norm(v0) * np.linalg.norm(v1)))
-        if np.abs(dot) > DOT_THRESHOLD:
-            v2 = (1 - t) * v0 + t * v1
-        else:
-            theta_0 = np.arccos(dot)
-            sin_theta_0 = np.sin(theta_0)
-            theta_t = theta_0 * t
-            sin_theta_t = np.sin(theta_t)
-            s0 = np.sin(theta_0 - theta_t) / sin_theta_0
-            s1 = sin_theta_t / sin_theta_0
-            v2 = s0 * v0 + s1 * v1
-
-        if inputs_are_torch:
-            v2 = torch.from_numpy(v2).to(self.model.device)
-
-        return v2
-
-    # this is a handy routine for debugging use. Given a generated sample,
-    # convert it into a PNG image and store it at the indicated path
-    def save_sample(self, sample, filepath):
-        image = self.sample_to_image(sample)
-        dirname = os.path.dirname(filepath) or "."
-        if not os.path.exists(dirname):
-            logger.info(f"creating directory {dirname}")
-            os.makedirs(dirname, exist_ok=True)
-        image.save(filepath, "PNG")
-
-    def torch_dtype(self) -> torch.dtype:
-        return torch.float16 if self.precision == "float16" else torch.float32
-
-    # returns a tensor filled with random numbers from a normal distribution
-    def get_noise(self, width, height):
-        device = self.model.device
-        # limit noise to only the diffusion image channels, not the mask channels
-        input_channels = min(self.latent_channels, 4)
-        x = torch.randn(
-            [
-                1,
-                input_channels,
-                height // self.downsampling_factor,
-                width // self.downsampling_factor,
-            ],
-            dtype=self.torch_dtype(),
-            device=device,
-        )
-        if self.perlin > 0.0:
-            perlin_noise = self.get_perlin_noise(width // self.downsampling_factor, height // self.downsampling_factor)
-            x = (1 - self.perlin) * x + self.perlin * perlin_noise
-        return x
diff --git a/invokeai/backend/generator/img2img.py b/invokeai/backend/generator/img2img.py
deleted file mode 100644
index 5490b2325c..0000000000
--- a/invokeai/backend/generator/img2img.py
+++ /dev/null
@@ -1,92 +0,0 @@
-"""
-invokeai.backend.generator.img2img descends from .generator
-"""
-from typing import Optional
-
-import torch
-from accelerate.utils import set_seed
-from diffusers import logging
-
-from ..stable_diffusion import (
-    ConditioningData,
-    PostprocessingSettings,
-    StableDiffusionGeneratorPipeline,
-)
-from .base import Generator
-
-
-class Img2Img(Generator):
-    def __init__(self, model, precision):
-        super().__init__(model, precision)
-        self.init_latent = None  # by get_noise()
-
-    def get_make_image(
-        self,
-        sampler,
-        steps,
-        cfg_scale,
-        ddim_eta,
-        conditioning,
-        init_image,
-        strength,
-        step_callback=None,
-        threshold=0.0,
-        warmup=0.2,
-        perlin=0.0,
-        h_symmetry_time_pct=None,
-        v_symmetry_time_pct=None,
-        attention_maps_callback=None,
-        **kwargs,
-    ):
-        """
-        Returns a function returning an image derived from the prompt and the initial image
-        Return value depends on the seed at the time you call it.
-        """
-        self.perlin = perlin
-
-        # noinspection PyTypeChecker
-        pipeline: StableDiffusionGeneratorPipeline = self.model
-        pipeline.scheduler = sampler
-
-        uc, c, extra_conditioning_info = conditioning
-        conditioning_data = ConditioningData(
-            uc,
-            c,
-            cfg_scale,
-            extra_conditioning_info,
-            postprocessing_settings=PostprocessingSettings(
-                threshold=threshold,
-                warmup=warmup,
-                h_symmetry_time_pct=h_symmetry_time_pct,
-                v_symmetry_time_pct=v_symmetry_time_pct,
-            ),
-        ).add_scheduler_args_if_applicable(pipeline.scheduler, eta=ddim_eta)
-
-        def make_image(x_T: torch.Tensor, seed: int):
-            # FIXME: use x_T for initial seeded noise
-            # We're not at the moment because the pipeline automatically resizes init_image if
-            # necessary, which the x_T input might not match.
-            # In the meantime, reset the seed prior to generating pipeline output so we at least get the same result.
-            logging.set_verbosity_error()  # quench safety check warnings
-            pipeline_output = pipeline.img2img_from_embeddings(
-                init_image,
-                strength,
-                steps,
-                conditioning_data,
-                noise_func=self.get_noise_like,
-                callback=step_callback,
-                seed=seed,
-            )
-            if pipeline_output.attention_map_saver is not None and attention_maps_callback is not None:
-                attention_maps_callback(pipeline_output.attention_map_saver)
-            return pipeline.numpy_to_pil(pipeline_output.images)[0]
-
-        return make_image
-
-    def get_noise_like(self, like: torch.Tensor):
-        device = like.device
-        x = torch.randn_like(like, device=device)
-        if self.perlin > 0.0:
-            shape = like.shape
-            x = (1 - self.perlin) * x + self.perlin * self.get_perlin_noise(shape[3], shape[2])
-        return x
diff --git a/invokeai/backend/generator/inpaint.py b/invokeai/backend/generator/inpaint.py
deleted file mode 100644
index 7aeb3d4809..0000000000
--- a/invokeai/backend/generator/inpaint.py
+++ /dev/null
@@ -1,379 +0,0 @@
-"""
-invokeai.backend.generator.inpaint descends from .generator
-"""
-from __future__ import annotations
-
-import math
-from typing import Tuple, Union, Optional
-
-import cv2
-import numpy as np
-import torch
-from PIL import Image, ImageChops, ImageFilter, ImageOps
-
-from ..image_util import PatchMatch, debug_image
-from ..stable_diffusion.diffusers_pipeline import (
-    ConditioningData,
-    StableDiffusionGeneratorPipeline,
-    image_resized_to_grid_as_tensor,
-)
-from .img2img import Img2Img
-
-
-def infill_methods() -> list[str]:
-    methods = [
-        "tile",
-        "solid",
-    ]
-    if PatchMatch.patchmatch_available():
-        methods.insert(0, "patchmatch")
-    return methods
-
-
-class Inpaint(Img2Img):
-    def __init__(self, model, precision):
-        self.inpaint_height = 0
-        self.inpaint_width = 0
-        self.enable_image_debugging = False
-        self.init_latent = None
-        self.pil_image = None
-        self.pil_mask = None
-        self.mask_blur_radius = 0
-        self.infill_method = None
-        super().__init__(model, precision)
-
-    # Outpaint support code
-    def get_tile_images(self, image: np.ndarray, width=8, height=8):
-        _nrows, _ncols, depth = image.shape
-        _strides = image.strides
-
-        nrows, _m = divmod(_nrows, height)
-        ncols, _n = divmod(_ncols, width)
-        if _m != 0 or _n != 0:
-            return None
-
-        return np.lib.stride_tricks.as_strided(
-            np.ravel(image),
-            shape=(nrows, ncols, height, width, depth),
-            strides=(height * _strides[0], width * _strides[1], *_strides),
-            writeable=False,
-        )
-
-    def infill_patchmatch(self, im: Image.Image) -> Image.Image:
-        if im.mode != "RGBA":
-            return im
-
-        # Skip patchmatch if patchmatch isn't available
-        if not PatchMatch.patchmatch_available():
-            return im
-
-        # Patchmatch (note, we may want to expose patch_size? Increasing it significantly impacts performance though)
-        im_patched_np = PatchMatch.inpaint(im.convert("RGB"), ImageOps.invert(im.split()[-1]), patch_size=3)
-        im_patched = Image.fromarray(im_patched_np, mode="RGB")
-        return im_patched
-
-    def tile_fill_missing(self, im: Image.Image, tile_size: int = 16, seed: Optional[int] = None) -> Image.Image:
-        # Only fill if there's an alpha layer
-        if im.mode != "RGBA":
-            return im
-
-        a = np.asarray(im, dtype=np.uint8)
-
-        tile_size_tuple = (tile_size, tile_size)
-
-        # Get the image as tiles of a specified size
-        tiles = self.get_tile_images(a, *tile_size_tuple).copy()
-
-        # Get the mask as tiles
-        tiles_mask = tiles[:, :, :, :, 3]
-
-        # Find any mask tiles with any fully transparent pixels (we will be replacing these later)
-        tmask_shape = tiles_mask.shape
-        tiles_mask = tiles_mask.reshape(math.prod(tiles_mask.shape))
-        n, ny = (math.prod(tmask_shape[0:2])), math.prod(tmask_shape[2:])
-        tiles_mask = tiles_mask > 0
-        tiles_mask = tiles_mask.reshape((n, ny)).all(axis=1)
-
-        # Get RGB tiles in single array and filter by the mask
-        tshape = tiles.shape
-        tiles_all = tiles.reshape((math.prod(tiles.shape[0:2]), *tiles.shape[2:]))
-        filtered_tiles = tiles_all[tiles_mask]
-
-        if len(filtered_tiles) == 0:
-            return im
-
-        # Find all invalid tiles and replace with a random valid tile
-        replace_count = (tiles_mask == False).sum()
-        rng = np.random.default_rng(seed=seed)
-        tiles_all[np.logical_not(tiles_mask)] = filtered_tiles[
-            rng.choice(filtered_tiles.shape[0], replace_count), :, :, :
-        ]
-
-        # Convert back to an image
-        tiles_all = tiles_all.reshape(tshape)
-        tiles_all = tiles_all.swapaxes(1, 2)
-        st = tiles_all.reshape(
-            (
-                math.prod(tiles_all.shape[0:2]),
-                math.prod(tiles_all.shape[2:4]),
-                tiles_all.shape[4],
-            )
-        )
-        si = Image.fromarray(st, mode="RGBA")
-
-        return si
-
-    def mask_edge(self, mask: Image.Image, edge_size: int, edge_blur: int) -> Image.Image:
-        npimg = np.asarray(mask, dtype=np.uint8)
-
-        # Detect any partially transparent regions
-        npgradient = np.uint8(255 * (1.0 - np.floor(np.abs(0.5 - np.float32(npimg) / 255.0) * 2.0)))
-
-        # Detect hard edges
-        npedge = cv2.Canny(npimg, threshold1=100, threshold2=200)
-
-        # Combine
-        npmask = npgradient + npedge
-
-        # Expand
-        npmask = cv2.dilate(npmask, np.ones((3, 3), np.uint8), iterations=int(edge_size / 2))
-
-        new_mask = Image.fromarray(npmask)
-
-        if edge_blur > 0:
-            new_mask = new_mask.filter(ImageFilter.BoxBlur(edge_blur))
-
-        return ImageOps.invert(new_mask)
-
-    def seam_paint(
-        self,
-        im: Image.Image,
-        seam_size: int,
-        seam_blur: int,
-        seed,
-        steps,
-        cfg_scale,
-        ddim_eta,
-        conditioning,
-        strength,
-        noise,
-        infill_method,
-        step_callback,
-    ) -> Image.Image:
-        hard_mask = self.pil_image.split()[-1].copy()
-        mask = self.mask_edge(hard_mask, seam_size, seam_blur)
-
-        make_image = self.get_make_image(
-            steps,
-            cfg_scale,
-            ddim_eta,
-            conditioning,
-            init_image=im.copy().convert("RGBA"),
-            mask_image=mask,
-            strength=strength,
-            mask_blur_radius=0,
-            seam_size=0,
-            step_callback=step_callback,
-            inpaint_width=im.width,
-            inpaint_height=im.height,
-            infill_method=infill_method,
-        )
-
-        seam_noise = self.get_noise(im.width, im.height)
-
-        result = make_image(seam_noise, seed=None)
-
-        return result
-
-    @torch.no_grad()
-    def get_make_image(
-        self,
-        steps,
-        cfg_scale,
-        ddim_eta,
-        conditioning,
-        init_image: Union[Image.Image, torch.FloatTensor],
-        mask_image: Union[Image.Image, torch.FloatTensor],
-        strength: float,
-        mask_blur_radius: int = 8,
-        # Seam settings - when 0, doesn't fill seam
-        seam_size: int = 96,
-        seam_blur: int = 16,
-        seam_strength: float = 0.7,
-        seam_steps: int = 30,
-        tile_size: int = 32,
-        step_callback=None,
-        inpaint_replace=False,
-        enable_image_debugging=False,
-        infill_method=None,
-        inpaint_width=None,
-        inpaint_height=None,
-        inpaint_fill: Tuple[int, int, int, int] = (0x7F, 0x7F, 0x7F, 0xFF),
-        attention_maps_callback=None,
-        **kwargs,
-    ):
-        """
-        Returns a function returning an image derived from the prompt and
-        the initial image + mask.  Return value depends on the seed at
-        the time you call it.  kwargs are 'init_latent' and 'strength'
-        """
-
-        self.enable_image_debugging = enable_image_debugging
-        infill_method = infill_method or infill_methods()[0]
-        self.infill_method = infill_method
-
-        self.inpaint_width = inpaint_width
-        self.inpaint_height = inpaint_height
-
-        if isinstance(init_image, Image.Image):
-            self.pil_image = init_image.copy()
-
-            # Do infill
-            if infill_method == "patchmatch" and PatchMatch.patchmatch_available():
-                init_filled = self.infill_patchmatch(self.pil_image.copy())
-            elif infill_method == "tile":
-                init_filled = self.tile_fill_missing(self.pil_image.copy(), seed=self.seed, tile_size=tile_size)
-            elif infill_method == "solid":
-                solid_bg = Image.new("RGBA", init_image.size, inpaint_fill)
-                init_filled = Image.alpha_composite(solid_bg, init_image)
-            else:
-                raise ValueError(f"Non-supported infill type {infill_method}", infill_method)
-            init_filled.paste(init_image, (0, 0), init_image.split()[-1])
-
-            # Resize if requested for inpainting
-            if inpaint_width and inpaint_height:
-                init_filled = init_filled.resize((inpaint_width, inpaint_height))
-
-            debug_image(init_filled, "init_filled", debug_status=self.enable_image_debugging)
-
-            # Create init tensor
-            init_image = image_resized_to_grid_as_tensor(init_filled.convert("RGB"))
-
-        if isinstance(mask_image, Image.Image):
-            self.pil_mask = mask_image.copy()
-            debug_image(
-                mask_image,
-                "mask_image BEFORE multiply with pil_image",
-                debug_status=self.enable_image_debugging,
-            )
-
-            init_alpha = self.pil_image.getchannel("A")
-            if mask_image.mode != "L":
-                # FIXME: why do we get passed an RGB image here? We can only use single-channel.
-                mask_image = mask_image.convert("L")
-            mask_image = ImageChops.multiply(mask_image, init_alpha)
-            self.pil_mask = mask_image
-
-            # Resize if requested for inpainting
-            if inpaint_width and inpaint_height:
-                mask_image = mask_image.resize((inpaint_width, inpaint_height))
-
-            debug_image(
-                mask_image,
-                "mask_image AFTER multiply with pil_image",
-                debug_status=self.enable_image_debugging,
-            )
-            mask: torch.FloatTensor = image_resized_to_grid_as_tensor(mask_image, normalize=False)
-        else:
-            mask: torch.FloatTensor = mask_image
-
-        self.mask_blur_radius = mask_blur_radius
-
-        # noinspection PyTypeChecker
-        pipeline: StableDiffusionGeneratorPipeline = self.model
-
-        # todo: support cross-attention control
-        uc, c, _ = conditioning
-        conditioning_data = ConditioningData(uc, c, cfg_scale).add_scheduler_args_if_applicable(
-            pipeline.scheduler, eta=ddim_eta
-        )
-
-        def make_image(x_T: torch.Tensor, seed: int):
-            pipeline_output = pipeline.inpaint_from_embeddings(
-                init_image=init_image,
-                mask=1 - mask,  # expects white means "paint here."
-                strength=strength,
-                num_inference_steps=steps,
-                conditioning_data=conditioning_data,
-                noise_func=self.get_noise_like,
-                callback=step_callback,
-                seed=seed,
-            )
-
-            if pipeline_output.attention_map_saver is not None and attention_maps_callback is not None:
-                attention_maps_callback(pipeline_output.attention_map_saver)
-
-            result = self.postprocess_size_and_mask(pipeline.numpy_to_pil(pipeline_output.images)[0])
-
-            # Seam paint if this is our first pass (seam_size set to 0 during seam painting)
-            if seam_size > 0:
-                old_image = self.pil_image or init_image
-                old_mask = self.pil_mask or mask_image
-
-                result = self.seam_paint(
-                    result,
-                    seam_size,
-                    seam_blur,
-                    seed,
-                    seam_steps,
-                    cfg_scale,
-                    ddim_eta,
-                    conditioning,
-                    seam_strength,
-                    x_T,
-                    infill_method,
-                    step_callback,
-                )
-
-                # Restore original settings
-                self.get_make_image(
-                    steps,
-                    cfg_scale,
-                    ddim_eta,
-                    conditioning,
-                    old_image,
-                    old_mask,
-                    strength,
-                    mask_blur_radius,
-                    seam_size,
-                    seam_blur,
-                    seam_strength,
-                    seam_steps,
-                    tile_size,
-                    step_callback,
-                    inpaint_replace,
-                    enable_image_debugging,
-                    inpaint_width=inpaint_width,
-                    inpaint_height=inpaint_height,
-                    infill_method=infill_method,
-                    **kwargs,
-                )
-
-            return result
-
-        return make_image
-
-    def sample_to_image(self, samples) -> Image.Image:
-        gen_result = super().sample_to_image(samples).convert("RGB")
-        return self.postprocess_size_and_mask(gen_result)
-
-    def postprocess_size_and_mask(self, gen_result: Image.Image) -> Image.Image:
-        debug_image(gen_result, "gen_result", debug_status=self.enable_image_debugging)
-
-        # Resize if necessary
-        if self.inpaint_width and self.inpaint_height:
-            gen_result = gen_result.resize(self.pil_image.size)
-
-        if self.pil_image is None or self.pil_mask is None:
-            return gen_result
-
-        corrected_result = self.repaste_and_color_correct(
-            gen_result, self.pil_image, self.pil_mask, self.mask_blur_radius
-        )
-        debug_image(
-            corrected_result,
-            "corrected_result",
-            debug_status=self.enable_image_debugging,
-        )
-
-        return corrected_result
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 8623ef9bfb..f452dc1037 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -1,18 +1,14 @@
 from __future__ import annotations
 
 import dataclasses
-import inspect
-import math
-import secrets
-from collections.abc import Sequence
 from dataclasses import dataclass, field
+import inspect
 from typing import Any, Callable, Generic, List, Optional, Type, TypeVar, Union
 from pydantic import Field
 
 import einops
 import PIL.Image
 import numpy as np
-from accelerate.utils import set_seed
 import psutil
 import torch
 import torchvision.transforms as T
@@ -23,15 +19,11 @@ from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import (
     StableDiffusionPipeline,
 )
 
-from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img import (
-    StableDiffusionImg2ImgPipeline,
-)
 from diffusers.pipelines.stable_diffusion.safety_checker import (
     StableDiffusionSafetyChecker,
 )
 from diffusers.schedulers import KarrasDiffusionSchedulers
 from diffusers.schedulers.scheduling_utils import SchedulerMixin, SchedulerOutput
-from diffusers.utils import PIL_INTERPOLATION
 from diffusers.utils.import_utils import is_xformers_available
 from diffusers.utils.outputs import BaseOutput
 from torchvision.transforms.functional import resize as tv_resize
@@ -45,7 +37,6 @@ from .diffusion import (
     InvokeAIDiffuserComponent,
     PostprocessingSettings,
 )
-from .offloading import FullyLoadedModelGroup, ModelGroup
 
 
 @dataclass
@@ -287,9 +278,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         feature_extractor ([`CLIPFeatureExtractor`]):
             Model that extracts features from generated images to be used as inputs for the `safety_checker`.
     """
-    _model_group: ModelGroup
-
-    ID_LENGTH = 8
 
     def __init__(
         self,
@@ -328,9 +316,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             # control_model=control_model,
         )
         self.invokeai_diffuser = InvokeAIDiffuserComponent(self.unet, self._unet_forward)
-
-        self._model_group = FullyLoadedModelGroup(execution_device or self.unet.device)
-        self._model_group.install(*self._submodels)
         self.control_model = control_model
 
     def _adjust_memory_efficient_attention(self, latents: torch.Tensor):
@@ -373,28 +358,11 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             self.disable_attention_slicing()
 
     def to(self, torch_device: Optional[Union[str, torch.device]] = None, silence_dtype_warnings=False):
-        # overridden method; types match the superclass.
-        if torch_device is None:
-            return self
-        self._model_group.set_device(torch.device(torch_device))
-        self._model_group.ready()
+        raise Exception("Should not be called")
 
     @property
     def device(self) -> torch.device:
-        return self._model_group.execution_device
-
-    @property
-    def _submodels(self) -> Sequence[torch.nn.Module]:
-        module_names, _, _ = self.extract_init_dict(dict(self.config))
-        submodels = []
-        for name in module_names.keys():
-            if hasattr(self, name):
-                value = getattr(self, name)
-            else:
-                value = getattr(self.config, name)
-            if isinstance(value, torch.nn.Module):
-                submodels.append(value)
-        return submodels
+        return self.unet.device
 
     def latents_from_embeddings(
         self,
@@ -414,7 +382,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         if self.scheduler.config.get("cpu_only", False):
             scheduler_device = torch.device("cpu")
         else:
-            scheduler_device = self._model_group.device_for(self.unet)
+            scheduler_device = self.unet.device
 
         if timesteps is None:
             self.scheduler.set_timesteps(num_inference_steps, device=scheduler_device)
@@ -511,7 +479,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 (batch_size,),
                 timesteps[0],
                 dtype=timesteps.dtype,
-                device=self._model_group.device_for(self.unet),
+                device=self.unet.device,
             )
 
             yield PipelineIntermediateState(
@@ -655,185 +623,3 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             cross_attention_kwargs=cross_attention_kwargs,
             **kwargs,
         ).sample
-
-    def img2img_from_embeddings(
-        self,
-        init_image: Union[torch.FloatTensor, PIL.Image.Image],
-        strength: float,
-        num_inference_steps: int,
-        conditioning_data: ConditioningData,
-        *,
-        callback: Callable[[PipelineIntermediateState], None] = None,
-        noise_func=None,
-        seed=None,
-    ) -> InvokeAIStableDiffusionPipelineOutput:
-        if isinstance(init_image, PIL.Image.Image):
-            init_image = image_resized_to_grid_as_tensor(init_image.convert("RGB"))
-
-        if init_image.dim() == 3:
-            init_image = einops.rearrange(init_image, "c h w -> 1 c h w")
-
-        # 6. Prepare latent variables
-        initial_latents = self.non_noised_latents_from_image(
-            init_image,
-            device=self._model_group.device_for(self.unet),
-            dtype=self.unet.dtype,
-        )
-        if seed is not None:
-            set_seed(seed)
-        noise = noise_func(initial_latents)
-
-        return self.img2img_from_latents_and_embeddings(
-            initial_latents,
-            num_inference_steps,
-            conditioning_data,
-            strength,
-            noise,
-            callback,
-        )
-
-    def get_img2img_timesteps(self, num_inference_steps: int, strength: float, device=None) -> (torch.Tensor, int):
-        img2img_pipeline = StableDiffusionImg2ImgPipeline(**self.components)
-        assert img2img_pipeline.scheduler is self.scheduler
-
-        if self.scheduler.config.get("cpu_only", False):
-            scheduler_device = torch.device("cpu")
-        else:
-            scheduler_device = self._model_group.device_for(self.unet)
-
-        img2img_pipeline.scheduler.set_timesteps(num_inference_steps, device=scheduler_device)
-        timesteps, adjusted_steps = img2img_pipeline.get_timesteps(
-            num_inference_steps, strength, device=scheduler_device
-        )
-        # Workaround for low strength resulting in zero timesteps.
-        # TODO: submit upstream fix for zero-step img2img
-        if timesteps.numel() == 0:
-            timesteps = self.scheduler.timesteps[-1:]
-            adjusted_steps = timesteps.numel()
-        return timesteps, adjusted_steps
-
-    def inpaint_from_embeddings(
-        self,
-        init_image: torch.FloatTensor,
-        mask: torch.FloatTensor,
-        strength: float,
-        num_inference_steps: int,
-        conditioning_data: ConditioningData,
-        *,
-        callback: Callable[[PipelineIntermediateState], None] = None,
-        noise_func=None,
-        seed=None,
-    ) -> InvokeAIStableDiffusionPipelineOutput:
-        device = self._model_group.device_for(self.unet)
-        latents_dtype = self.unet.dtype
-
-        if isinstance(init_image, PIL.Image.Image):
-            init_image = image_resized_to_grid_as_tensor(init_image.convert("RGB"))
-
-        init_image = init_image.to(device=device, dtype=latents_dtype)
-        mask = mask.to(device=device, dtype=latents_dtype)
-
-        if init_image.dim() == 3:
-            init_image = init_image.unsqueeze(0)
-
-        timesteps, _ = self.get_img2img_timesteps(num_inference_steps, strength)
-
-        # 6. Prepare latent variables
-        # can't quite use upstream StableDiffusionImg2ImgPipeline.prepare_latents
-        # because we have our own noise function
-        init_image_latents = self.non_noised_latents_from_image(init_image, device=device, dtype=latents_dtype)
-        if seed is not None:
-            set_seed(seed)
-        noise = noise_func(init_image_latents)
-
-        if mask.dim() == 3:
-            mask = mask.unsqueeze(0)
-        latent_mask = tv_resize(mask, init_image_latents.shape[-2:], T.InterpolationMode.BILINEAR).to(
-            device=device, dtype=latents_dtype
-        )
-
-        guidance: List[Callable] = []
-
-        if is_inpainting_model(self.unet):
-            # You'd think the inpainting model wouldn't be paying attention to the area it is going to repaint
-            # (that's why there's a mask!) but it seems to really want that blanked out.
-            masked_init_image = init_image * torch.where(mask < 0.5, 1, 0)
-            masked_latents = self.non_noised_latents_from_image(masked_init_image, device=device, dtype=latents_dtype)
-
-            # TODO: we should probably pass this in so we don't have to try/finally around setting it.
-            self.invokeai_diffuser.model_forward_callback = AddsMaskLatents(
-                self._unet_forward, latent_mask, masked_latents
-            )
-        else:
-            guidance.append(AddsMaskGuidance(latent_mask, init_image_latents, self.scheduler, noise))
-
-        try:
-            result_latents, result_attention_maps = self.latents_from_embeddings(
-                latents=init_image_latents
-                if strength < 1.0
-                else torch.zeros_like(
-                    init_image_latents, device=init_image_latents.device, dtype=init_image_latents.dtype
-                ),
-                num_inference_steps=num_inference_steps,
-                conditioning_data=conditioning_data,
-                noise=noise,
-                timesteps=timesteps,
-                additional_guidance=guidance,
-                callback=callback,
-            )
-        finally:
-            self.invokeai_diffuser.model_forward_callback = self._unet_forward
-
-        # https://discuss.huggingface.co/t/memory-usage-by-later-pipeline-stages/23699
-        torch.cuda.empty_cache()
-
-        with torch.inference_mode():
-            image = self.decode_latents(result_latents)
-            output = InvokeAIStableDiffusionPipelineOutput(
-                images=image,
-                nsfw_content_detected=[],
-                attention_map_saver=result_attention_maps,
-            )
-            return self.check_for_safety(output, dtype=self.unet.dtype)
-
-    def non_noised_latents_from_image(self, init_image, *, device: torch.device, dtype):
-        init_image = init_image.to(device=device, dtype=dtype)
-        with torch.inference_mode():
-            self._model_group.load(self.vae)
-            init_latent_dist = self.vae.encode(init_image).latent_dist
-            init_latents = init_latent_dist.sample().to(dtype=dtype)  # FIXME: uses torch.randn. make reproducible!
-
-        init_latents = 0.18215 * init_latents
-        return init_latents
-
-    def check_for_safety(self, output, dtype):
-        with torch.inference_mode():
-            screened_images, has_nsfw_concept = self.run_safety_checker(output.images, dtype=dtype)
-        screened_attention_map_saver = None
-        if has_nsfw_concept is None or not has_nsfw_concept:
-            screened_attention_map_saver = output.attention_map_saver
-        return InvokeAIStableDiffusionPipelineOutput(
-            screened_images,
-            has_nsfw_concept,
-            # block the attention maps if NSFW content is detected
-            attention_map_saver=screened_attention_map_saver,
-        )
-
-    def run_safety_checker(self, image, device=None, dtype=None):
-        # overriding to use the model group for device info instead of requiring the caller to know.
-        if self.safety_checker is not None:
-            device = self._model_group.device_for(self.safety_checker)
-        return super().run_safety_checker(image, device, dtype)
-
-    def decode_latents(self, latents):
-        # Explicit call to get the vae loaded, since `decode` isn't the forward method.
-        self._model_group.load(self.vae)
-        return super().decode_latents(latents)
-
-    def debug_latents(self, latents, msg):
-        from invokeai.backend.image_util import debug_image
-
-        with torch.inference_mode():
-            decoded = self.numpy_to_pil(self.decode_latents(latents))
-        for i, img in enumerate(decoded):
-            debug_image(img, f"latents {msg} {i+1}/{len(decoded)}", debug_status=True)
diff --git a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
index 4ff8c5abc7..1dc6c359a0 100644
--- a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
+++ b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
@@ -295,7 +295,6 @@ class InvokeAIDiffuserComponent:
     ) -> torch.Tensor:
         if postprocessing_settings is not None:
             percent_through = step_index / total_step_count
-            latents = self.apply_threshold(postprocessing_settings, latents, percent_through)
             latents = self.apply_symmetry(postprocessing_settings, latents, percent_through)
         return latents
 
@@ -516,63 +515,6 @@ class InvokeAIDiffuserComponent:
         combined_next_x = unconditioned_next_x + scaled_delta
         return combined_next_x
 
-    def apply_threshold(
-        self,
-        postprocessing_settings: PostprocessingSettings,
-        latents: torch.Tensor,
-        percent_through: float,
-    ) -> torch.Tensor:
-        if postprocessing_settings.threshold is None or postprocessing_settings.threshold == 0.0:
-            return latents
-
-        threshold = postprocessing_settings.threshold
-        warmup = postprocessing_settings.warmup
-
-        if percent_through < warmup:
-            current_threshold = threshold + threshold * 5 * (1 - (percent_through / warmup))
-        else:
-            current_threshold = threshold
-
-        if current_threshold <= 0:
-            return latents
-
-        maxval = latents.max().item()
-        minval = latents.min().item()
-
-        scale = 0.7  # default value from #395
-
-        if self.debug_thresholding:
-            std, mean = [i.item() for i in torch.std_mean(latents)]
-            outside = torch.count_nonzero((latents < -current_threshold) | (latents > current_threshold))
-            logger.info(f"Threshold: %={percent_through} threshold={current_threshold:.3f} (of {threshold:.3f})")
-            logger.debug(f"min, mean, max = {minval:.3f}, {mean:.3f}, {maxval:.3f}\tstd={std}")
-            logger.debug(f"{outside / latents.numel() * 100:.2f}% values outside threshold")
-
-        if maxval < current_threshold and minval > -current_threshold:
-            return latents
-
-        num_altered = 0
-
-        # MPS torch.rand_like is fine because torch.rand_like is wrapped in generate.py!
-
-        if maxval > current_threshold:
-            latents = torch.clone(latents)
-            maxval = np.clip(maxval * scale, 1, current_threshold)
-            num_altered += torch.count_nonzero(latents > maxval)
-            latents[latents > maxval] = torch.rand_like(latents[latents > maxval]) * maxval
-
-        if minval < -current_threshold:
-            latents = torch.clone(latents)
-            minval = np.clip(minval * scale, -current_threshold, -1)
-            num_altered += torch.count_nonzero(latents < minval)
-            latents[latents < minval] = torch.rand_like(latents[latents < minval]) * minval
-
-        if self.debug_thresholding:
-            logger.debug(f"min,     , max = {minval:.3f},        , {maxval:.3f}\t(scaled by {scale})")
-            logger.debug(f"{num_altered / latents.numel() * 100:.2f}% values altered")
-
-        return latents
-
     def apply_symmetry(
         self,
         postprocessing_settings: PostprocessingSettings,
@@ -634,18 +576,6 @@ class InvokeAIDiffuserComponent:
         self.last_percent_through = percent_through
         return latents.to(device=dev)
 
-    def estimate_percent_through(self, step_index, sigma):
-        if step_index is not None and self.cross_attention_control_context is not None:
-            # percent_through will never reach 1.0 (but this is intended)
-            return float(step_index) / float(self.cross_attention_control_context.step_count)
-        # find the best possible index of the current sigma in the sigma sequence
-        smaller_sigmas = torch.nonzero(self.model.sigmas <= sigma)
-        sigma_index = smaller_sigmas[-1].item() if smaller_sigmas.shape[0] > 0 else 0
-        # flip because sigmas[0] is for the fully denoised image
-        # percent_through must be <1
-        return 1.0 - float(sigma_index + 1) / float(self.model.sigmas.shape[0])
-        # print('estimated percent_through', percent_through, 'from sigma', sigma.item())
-
     # todo: make this work
     @classmethod
     def apply_conjunction(cls, x, t, forward_func, uc, c_or_weighted_c_list, global_guidance_scale):
diff --git a/invokeai/backend/stable_diffusion/offloading.py b/invokeai/backend/stable_diffusion/offloading.py
deleted file mode 100644
index aa2426d514..0000000000
--- a/invokeai/backend/stable_diffusion/offloading.py
+++ /dev/null
@@ -1,253 +0,0 @@
-from __future__ import annotations
-
-import warnings
-import weakref
-from abc import ABCMeta, abstractmethod
-from collections.abc import MutableMapping
-from typing import Callable, Union
-
-import torch
-from accelerate.utils import send_to_device
-from torch.utils.hooks import RemovableHandle
-
-OFFLOAD_DEVICE = torch.device("cpu")
-
-
-class _NoModel:
-    """Symbol that indicates no model is loaded.
-
-    (We can't weakref.ref(None), so this was my best idea at the time to come up with something
-    type-checkable.)
-    """
-
-    def __bool__(self):
-        return False
-
-    def to(self, device: torch.device):
-        pass
-
-    def __repr__(self):
-        return "<NO MODEL>"
-
-
-NO_MODEL = _NoModel()
-
-
-class ModelGroup(metaclass=ABCMeta):
-    """
-    A group of models.
-
-    The use case I had in mind when writing this is the sub-models used by a DiffusionPipeline,
-    e.g. its text encoder, U-net, VAE, etc.
-
-    Those models are :py:class:`diffusers.ModelMixin`, but "model" is interchangeable with
-    :py:class:`torch.nn.Module` here.
-    """
-
-    def __init__(self, execution_device: torch.device):
-        self.execution_device = execution_device
-
-    @abstractmethod
-    def install(self, *models: torch.nn.Module):
-        """Add models to this group."""
-        pass
-
-    @abstractmethod
-    def uninstall(self, models: torch.nn.Module):
-        """Remove models from this group."""
-        pass
-
-    @abstractmethod
-    def uninstall_all(self):
-        """Remove all models from this group."""
-
-    @abstractmethod
-    def load(self, model: torch.nn.Module):
-        """Load this model to the execution device."""
-        pass
-
-    @abstractmethod
-    def offload_current(self):
-        """Offload the current model(s) from the execution device."""
-        pass
-
-    @abstractmethod
-    def ready(self):
-        """Ready this group for use."""
-        pass
-
-    @abstractmethod
-    def set_device(self, device: torch.device):
-        """Change which device models from this group will execute on."""
-        pass
-
-    @abstractmethod
-    def device_for(self, model) -> torch.device:
-        """Get the device the given model will execute on.
-
-        The model should already be a member of this group.
-        """
-        pass
-
-    @abstractmethod
-    def __contains__(self, model):
-        """Check if the model is a member of this group."""
-        pass
-
-    def __repr__(self) -> str:
-        return f"<{self.__class__.__name__} object at {id(self):x}: " f"device={self.execution_device} >"
-
-
-class LazilyLoadedModelGroup(ModelGroup):
-    """
-    Only one model from this group is loaded on the GPU at a time.
-
-    Running the forward method of a model will displace the previously-loaded model,
-    offloading it to CPU.
-
-    If you call other methods on the model, e.g. ``model.encode(x)`` instead of ``model(x)``,
-    you will need to explicitly load it with :py:method:`.load(model)`.
-
-    This implementation relies on pytorch forward-pre-hooks, and it will copy forward arguments
-    to the appropriate execution device, as long as they are positional arguments and not keyword
-    arguments. (I didn't make the rules; that's the way the pytorch 1.13 API works for hooks.)
-    """
-
-    _hooks: MutableMapping[torch.nn.Module, RemovableHandle]
-    _current_model_ref: Callable[[], Union[torch.nn.Module, _NoModel]]
-
-    def __init__(self, execution_device: torch.device):
-        super().__init__(execution_device)
-        self._hooks = weakref.WeakKeyDictionary()
-        self._current_model_ref = weakref.ref(NO_MODEL)
-
-    def install(self, *models: torch.nn.Module):
-        for model in models:
-            self._hooks[model] = model.register_forward_pre_hook(self._pre_hook)
-
-    def uninstall(self, *models: torch.nn.Module):
-        for model in models:
-            hook = self._hooks.pop(model)
-            hook.remove()
-            if self.is_current_model(model):
-                # no longer hooked by this object, so don't claim to manage it
-                self.clear_current_model()
-
-    def uninstall_all(self):
-        self.uninstall(*self._hooks.keys())
-
-    def _pre_hook(self, module: torch.nn.Module, forward_input):
-        self.load(module)
-        if len(forward_input) == 0:
-            warnings.warn(
-                f"Hook for {module.__class__.__name__} got no input. " f"Inputs must be positional, not keywords.",
-                stacklevel=3,
-            )
-        return send_to_device(forward_input, self.execution_device)
-
-    def load(self, module):
-        if not self.is_current_model(module):
-            self.offload_current()
-            self._load(module)
-
-    def offload_current(self):
-        module = self._current_model_ref()
-        if module is not NO_MODEL:
-            module.to(OFFLOAD_DEVICE)
-        self.clear_current_model()
-
-    def _load(self, module: torch.nn.Module) -> torch.nn.Module:
-        assert self.is_empty(), f"A model is already loaded: {self._current_model_ref()}"
-        module = module.to(self.execution_device)
-        self.set_current_model(module)
-        return module
-
-    def is_current_model(self, model: torch.nn.Module) -> bool:
-        """Is the given model the one currently loaded on the execution device?"""
-        return self._current_model_ref() is model
-
-    def is_empty(self):
-        """Are none of this group's models loaded on the execution device?"""
-        return self._current_model_ref() is NO_MODEL
-
-    def set_current_model(self, value):
-        self._current_model_ref = weakref.ref(value)
-
-    def clear_current_model(self):
-        self._current_model_ref = weakref.ref(NO_MODEL)
-
-    def set_device(self, device: torch.device):
-        if device == self.execution_device:
-            return
-        self.execution_device = device
-        current = self._current_model_ref()
-        if current is not NO_MODEL:
-            current.to(device)
-
-    def device_for(self, model):
-        if model not in self:
-            raise KeyError(f"This does not manage this model {type(model).__name__}", model)
-        return self.execution_device  # this implementation only dispatches to one device
-
-    def ready(self):
-        pass  # always ready to load on-demand
-
-    def __contains__(self, model):
-        return model in self._hooks
-
-    def __repr__(self) -> str:
-        return (
-            f"<{self.__class__.__name__} object at {id(self):x}: "
-            f"current_model={type(self._current_model_ref()).__name__} >"
-        )
-
-
-class FullyLoadedModelGroup(ModelGroup):
-    """
-    A group of models without any implicit loading or unloading.
-
-    :py:meth:`.ready` loads _all_ the models to the execution device at once.
-    """
-
-    _models: weakref.WeakSet
-
-    def __init__(self, execution_device: torch.device):
-        super().__init__(execution_device)
-        self._models = weakref.WeakSet()
-
-    def install(self, *models: torch.nn.Module):
-        for model in models:
-            self._models.add(model)
-            model.to(self.execution_device)
-
-    def uninstall(self, *models: torch.nn.Module):
-        for model in models:
-            self._models.remove(model)
-
-    def uninstall_all(self):
-        self.uninstall(*self._models)
-
-    def load(self, model):
-        model.to(self.execution_device)
-
-    def offload_current(self):
-        for model in self._models:
-            model.to(OFFLOAD_DEVICE)
-
-    def ready(self):
-        for model in self._models:
-            self.load(model)
-
-    def set_device(self, device: torch.device):
-        self.execution_device = device
-        for model in self._models:
-            if model.device != OFFLOAD_DEVICE:
-                model.to(device)
-
-    def device_for(self, model):
-        if model not in self:
-            raise KeyError("This does not manage this model f{type(model).__name__}", model)
-        return self.execution_device  # this implementation only dispatches to one device
-
-    def __contains__(self, model):
-        return model in self._models

From f7aec3b9345e742bf701e0455fcf9c0318599b87 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Tue, 8 Aug 2023 23:33:52 +0300
Subject: [PATCH 126/287] Move conditioning class to backend

---
 invokeai/app/invocations/compel.py            | 32 ++---------------
 invokeai/backend/stable_diffusion/__init__.py |  2 +-
 .../diffusion/shared_invokeai_diffusion.py    | 35 ++++++++++++++++---
 3 files changed, 33 insertions(+), 36 deletions(-)

diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index 41be7f7138..8ecd22e2d7 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -16,7 +16,7 @@ from ...backend.util.devices import torch_dtype
 from ...backend.model_management import ModelType
 from ...backend.model_management.models import ModelNotFoundException
 from ...backend.model_management.lora import ModelPatcher
-from ...backend.stable_diffusion.diffusion import InvokeAIDiffuserComponent
+from ...backend.stable_diffusion import InvokeAIDiffuserComponent, BasicConditioningInfo, SDXLConditioningInfo
 from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext
 from .model import ClipField
 from dataclasses import dataclass
@@ -29,37 +29,9 @@ class ConditioningField(BaseModel):
         schema_extra = {"required": ["conditioning_name"]}
 
 
-@dataclass
-class BasicConditioningInfo:
-    # type: Literal["basic_conditioning"] = "basic_conditioning"
-    embeds: torch.Tensor
-    extra_conditioning: Optional[InvokeAIDiffuserComponent.ExtraConditioningInfo]
-    # weight: float
-    # mode: ConditioningAlgo
-
-    def to(self, device, dtype=None):
-        self.embeds = self.embeds.to(device=device, dtype=dtype)
-        return self
-
-
-@dataclass
-class SDXLConditioningInfo(BasicConditioningInfo):
-    # type: Literal["sdxl_conditioning"] = "sdxl_conditioning"
-    pooled_embeds: torch.Tensor
-    add_time_ids: torch.Tensor
-
-    def to(self, device, dtype=None):
-        self.pooled_embeds = self.pooled_embeds.to(device=device, dtype=dtype)
-        self.add_time_ids = self.add_time_ids.to(device=device, dtype=dtype)
-        return super().to(device=device, dtype=dtype)
-
-
-ConditioningInfoType = Annotated[Union[BasicConditioningInfo, SDXLConditioningInfo], Field(discriminator="type")]
-
-
 @dataclass
 class ConditioningFieldData:
-    conditionings: List[Union[BasicConditioningInfo, SDXLConditioningInfo]]
+    conditionings: List[BasicConditioningInfo]
     # unconditioned: Optional[torch.Tensor]
 
 
diff --git a/invokeai/backend/stable_diffusion/__init__.py b/invokeai/backend/stable_diffusion/__init__.py
index 37024ccace..21273c6201 100644
--- a/invokeai/backend/stable_diffusion/__init__.py
+++ b/invokeai/backend/stable_diffusion/__init__.py
@@ -8,4 +8,4 @@ from .diffusers_pipeline import (
 )
 from .diffusion import InvokeAIDiffuserComponent
 from .diffusion.cross_attention_map_saving import AttentionMapSaver
-from .diffusion.shared_invokeai_diffusion import PostprocessingSettings
+from .diffusion.shared_invokeai_diffusion import PostprocessingSettings, BasicConditioningInfo, SDXLConditioningInfo
diff --git a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
index 1dc6c359a0..9b1630dc3a 100644
--- a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
+++ b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 from contextlib import contextmanager
 from dataclasses import dataclass
 import math
@@ -32,6 +34,29 @@ ModelForwardCallback: TypeAlias = Union[
 ]
 
 
+@dataclass
+class BasicConditioningInfo:
+    embeds: torch.Tensor
+    extra_conditioning: Optional[InvokeAIDiffuserComponent.ExtraConditioningInfo]
+    # weight: float
+    # mode: ConditioningAlgo
+
+    def to(self, device, dtype=None):
+        self.embeds = self.embeds.to(device=device, dtype=dtype)
+        return self
+
+
+@dataclass
+class SDXLConditioningInfo(BasicConditioningInfo):
+    pooled_embeds: torch.Tensor
+    add_time_ids: torch.Tensor
+
+    def to(self, device, dtype=None):
+        self.pooled_embeds = self.pooled_embeds.to(device=device, dtype=dtype)
+        self.add_time_ids = self.add_time_ids.to(device=device, dtype=dtype)
+        return super().to(device=device, dtype=dtype)
+
+
 @dataclass(frozen=True)
 class PostprocessingSettings:
     threshold: float
@@ -167,7 +192,7 @@ class InvokeAIDiffuserComponent:
                 added_cond_kwargs = None
 
                 if cfg_injection:  # only applying ControlNet to conditional instead of in unconditioned
-                    if type(conditioning_data.text_embeddings).__name__ == "SDXLConditioningInfo":
+                    if type(conditioning_data.text_embeddings) is SDXLConditioningInfo:
                         added_cond_kwargs = {
                             "text_embeds": conditioning_data.text_embeddings.pooled_embeds,
                             "time_ids": conditioning_data.text_embeddings.add_time_ids,
@@ -175,7 +200,7 @@ class InvokeAIDiffuserComponent:
                     encoder_hidden_states = conditioning_data.text_embeddings.embeds
                     encoder_attention_mask = None
                 else:
-                    if type(conditioning_data.text_embeddings).__name__ == "SDXLConditioningInfo":
+                    if type(conditioning_data.text_embeddings) is SDXLConditioningInfo:
                         added_cond_kwargs = {
                             "text_embeds": torch.cat([
                                 # TODO: how to pad? just by zeros? or even truncate?
@@ -353,7 +378,7 @@ class InvokeAIDiffuserComponent:
         sigma_twice = torch.cat([sigma] * 2)
 
         added_cond_kwargs = None
-        if type(conditioning_data.text_embeddings).__name__ == "SDXLConditioningInfo":
+        if type(conditioning_data.text_embeddings) is SDXLConditioningInfo:
             added_cond_kwargs = {
                 "text_embeds": torch.cat([
                     # TODO: how to pad? just by zeros? or even truncate?
@@ -404,7 +429,7 @@ class InvokeAIDiffuserComponent:
             uncond_mid_block, cond_mid_block = mid_block_additional_residual.chunk(2)
 
         added_cond_kwargs = None
-        is_sdxl = type(conditioning_data.text_embeddings).__name__ == "SDXLConditioningInfo"
+        is_sdxl = type(conditioning_data.text_embeddings) is SDXLConditioningInfo
         if is_sdxl:
             added_cond_kwargs = {
                 "text_embeds": conditioning_data.unconditioned_embeddings.pooled_embeds,
@@ -470,7 +495,7 @@ class InvokeAIDiffuserComponent:
         )
 
         added_cond_kwargs = None
-        is_sdxl = type(conditioning_data.text_embeddings).__name__ == "SDXLConditioningInfo"
+        is_sdxl = type(conditioning_data.text_embeddings) is SDXLConditioningInfo
         if is_sdxl:
             added_cond_kwargs = {
                 "text_embeds": conditioning_data.unconditioned_embeddings.pooled_embeds,

From b4a74f65233d1e8dc38266cc7a0571873e10a76e Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Tue, 8 Aug 2023 23:57:02 +0300
Subject: [PATCH 127/287] Add MaskEdge and ColorCorrect nodes

Co-Authored-By: Kent Keirsey <31807370+hipsterusername@users.noreply.github.com>
---
 invokeai/app/invocations/image.py | 173 +++++++++++++++++++++++++++++-
 1 file changed, 170 insertions(+), 3 deletions(-)

diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index 3f40ea3cbe..b6250a1fdc 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -2,6 +2,7 @@
 
 from typing import Literal, Optional
 
+import cv2
 import numpy
 from PIL import Image, ImageFilter, ImageOps, ImageChops
 from pydantic import Field
@@ -142,9 +143,10 @@ class ImagePasteInvocation(BaseInvocation, PILInvocationConfig):
     def invoke(self, context: InvocationContext) -> ImageOutput:
         base_image = context.services.images.get_pil_image(self.base_image.image_name)
         image = context.services.images.get_pil_image(self.image.image_name)
-        mask = (
-            None if self.mask is None else ImageOps.invert(context.services.images.get_pil_image(self.mask.image_name))
-        )
+        mask = None
+        if self.mask is not None:
+            mask = context.services.images.get_pil_image(self.mask.image_name)
+            mask = ImageOps.invert(mask.convert("L"))
         # TODO: probably shouldn't invert mask here... should user be required to do it?
 
         min_x = min(0, self.x)
@@ -650,3 +652,168 @@ class ImageWatermarkInvocation(BaseInvocation, PILInvocationConfig):
             width=image_dto.width,
             height=image_dto.height,
         )
+
+class MaskEdgeInvocation(BaseInvocation, PILInvocationConfig):
+    """Applies an edge mask to an image"""
+
+    # fmt: off
+    type: Literal["mask_edge"] = "mask_edge"
+
+    # Inputs
+    image: Optional[ImageField] = Field(default=None, description="The image to apply the mask to")
+    edge_size: int = Field(description="The size of the edge")
+    edge_blur: int = Field(description="The amount of blur on the edge")
+    low_threshold: int = Field(description="First threshold for the hysteresis procedure in Canny edge detection")
+    high_threshold: int = Field(description="Second threshold for the hysteresis procedure in Canny edge detection")
+    # fmt: on
+
+    def invoke(self, context: InvocationContext) -> MaskOutput:
+        mask = context.services.images.get_pil_image(self.image.image_name)
+
+        npimg = numpy.asarray(mask, dtype=numpy.uint8)
+        npgradient = numpy.uint8(
+            255 * (1.0 - numpy.floor(numpy.abs(0.5 - numpy.float32(npimg) / 255.0) * 2.0))
+        )
+        npedge = cv2.Canny(npimg, threshold1=self.low_threshold, threshold2=self.high_threshold)
+        npmask = npgradient + npedge
+        npmask = cv2.dilate(
+            npmask, numpy.ones((3, 3), numpy.uint8), iterations=int(self.edge_size / 2)
+        )
+
+        new_mask = Image.fromarray(npmask)
+
+        if self.edge_blur > 0:
+            new_mask = new_mask.filter(ImageFilter.BoxBlur(self.edge_blur))
+
+        new_mask = ImageOps.invert(new_mask)
+
+        image_dto = context.services.images.create(
+            image=new_mask,
+            image_origin=ResourceOrigin.INTERNAL,
+            image_category=ImageCategory.MASK,
+            node_id=self.id,
+            session_id=context.graph_execution_state_id,
+            is_intermediate=self.is_intermediate,
+        )
+
+        return MaskOutput(
+            mask=ImageField(image_name=image_dto.image_name),
+            width=image_dto.width,
+            height=image_dto.height,
+        )
+
+class ColorCorrectInvocation(BaseInvocation, PILInvocationConfig):
+
+    type: Literal["color_correct"] = "color_correct"
+
+    init: Optional[ImageField] = Field(default=None, description="Initial image")
+    result: Optional[ImageField] = Field(default=None, description="Resulted image")
+    mask: Optional[ImageField] = Field(default=None, description="Mask image")
+    mask_blur_radius: float = Field(default=8, description="Mask blur radius")
+
+    def invoke(self, context: InvocationContext) -> ImageOutput:
+        pil_init_mask = None
+        if self.mask is not None:
+            pil_init_mask = context.services.images.get_pil_image(
+                self.mask.image_name
+            ).convert("L")
+
+        init_image = context.services.images.get_pil_image(
+            self.init.image_name
+        )
+
+        result = context.services.images.get_pil_image(
+            self.result.image_name
+        ).convert("RGBA")
+
+
+        #if init_image is None or init_mask is None:
+        #    return result
+
+        # Get the original alpha channel of the mask if there is one.
+        # Otherwise it is some other black/white image format ('1', 'L' or 'RGB')
+        #pil_init_mask = (
+        #    init_mask.getchannel("A")
+        #    if init_mask.mode == "RGBA"
+        #    else init_mask.convert("L")
+        #)
+        pil_init_image = init_image.convert(
+            "RGBA"
+        )  # Add an alpha channel if one doesn't exist
+
+        # Build an image with only visible pixels from source to use as reference for color-matching.
+        init_rgb_pixels = numpy.asarray(init_image.convert("RGB"), dtype=numpy.uint8)
+        init_a_pixels = numpy.asarray(pil_init_image.getchannel("A"), dtype=numpy.uint8)
+        init_mask_pixels = numpy.asarray(pil_init_mask, dtype=numpy.uint8)
+
+        # Get numpy version of result
+        np_image = numpy.asarray(result.convert("RGB"), dtype=numpy.uint8)
+
+        # Mask and calculate mean and standard deviation
+        mask_pixels = init_a_pixels * init_mask_pixels > 0
+        np_init_rgb_pixels_masked = init_rgb_pixels[mask_pixels, :]
+        np_image_masked = np_image[mask_pixels, :]
+
+        if np_init_rgb_pixels_masked.size > 0:
+            init_means = np_init_rgb_pixels_masked.mean(axis=0)
+            init_std = np_init_rgb_pixels_masked.std(axis=0)
+            gen_means = np_image_masked.mean(axis=0)
+            gen_std = np_image_masked.std(axis=0)
+
+            # Color correct
+            np_matched_result = np_image.copy()
+            np_matched_result[:, :, :] = (
+                (
+                    (
+                        (
+                            np_matched_result[:, :, :].astype(numpy.float32)
+                            - gen_means[None, None, :]
+                        )
+                        / gen_std[None, None, :]
+                    )
+                    * init_std[None, None, :]
+                    + init_means[None, None, :]
+                )
+                .clip(0, 255)
+                .astype(numpy.uint8)
+            )
+            matched_result = Image.fromarray(np_matched_result, mode="RGB")
+        else:
+            matched_result = Image.fromarray(np_image, mode="RGB")
+
+        # Blur the mask out (into init image) by specified amount
+        if self.mask_blur_radius > 0:
+            nm = numpy.asarray(pil_init_mask, dtype=numpy.uint8)
+            nmd = cv2.erode(
+                nm,
+                kernel=numpy.ones((3, 3), dtype=numpy.uint8),
+                iterations=int(self.mask_blur_radius / 2),
+            )
+            pmd = Image.fromarray(nmd, mode="L")
+            blurred_init_mask = pmd.filter(ImageFilter.BoxBlur(self.mask_blur_radius))
+        else:
+            blurred_init_mask = pil_init_mask
+
+
+        multiplied_blurred_init_mask = ImageChops.multiply(
+            blurred_init_mask, result.split()[-1]
+        )
+
+        # Paste original on color-corrected generation (using blurred mask)
+        matched_result.paste(init_image, (0, 0), mask=multiplied_blurred_init_mask)
+
+        image_dto = context.services.images.create(
+            image=matched_result,
+            image_origin=ResourceOrigin.INTERNAL,
+            image_category=ImageCategory.GENERAL,
+            node_id=self.id,
+            session_id=context.graph_execution_state_id,
+            is_intermediate=self.is_intermediate,
+        )
+
+        return ImageOutput(
+            image=ImageField(image_name=image_dto.image_name),
+            width=image_dto.width,
+            height=image_dto.height,
+        )
+

From e98f7eda2ef031f04dc836b131ccf62c48c8f0d4 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Wed, 9 Aug 2023 03:34:25 +0300
Subject: [PATCH 128/287] Fix total_steps in generation event, order field
 added

---
 invokeai/app/services/events.py                         | 2 ++
 invokeai/app/util/step_callback.py                      | 3 ++-
 invokeai/backend/stable_diffusion/diffusers_pipeline.py | 7 +++++++
 3 files changed, 11 insertions(+), 1 deletion(-)

diff --git a/invokeai/app/services/events.py b/invokeai/app/services/events.py
index 30fa89bd29..a266fe4f18 100644
--- a/invokeai/app/services/events.py
+++ b/invokeai/app/services/events.py
@@ -35,6 +35,7 @@ class EventServiceBase:
         source_node_id: str,
         progress_image: Optional[ProgressImage],
         step: int,
+        order: int,
         total_steps: int,
     ) -> None:
         """Emitted when there is generation progress"""
@@ -46,6 +47,7 @@ class EventServiceBase:
                 source_node_id=source_node_id,
                 progress_image=progress_image.dict() if progress_image is not None else None,
                 step=step,
+                order=order,
                 total_steps=total_steps,
             ),
         )
diff --git a/invokeai/app/util/step_callback.py b/invokeai/app/util/step_callback.py
index 5f802c796a..5770b61ec9 100644
--- a/invokeai/app/util/step_callback.py
+++ b/invokeai/app/util/step_callback.py
@@ -115,5 +115,6 @@ def stable_diffusion_step_callback(
         source_node_id=source_node_id,
         progress_image=ProgressImage(width=width, height=height, dataURL=dataURL),
         step=intermediate_state.step,
-        total_steps=node["steps"],
+        order=intermediate_state.order,
+        total_steps=intermediate_state.total_steps,
     )
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index f452dc1037..8b12101d69 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -6,6 +6,7 @@ import inspect
 from typing import Any, Callable, Generic, List, Optional, Type, TypeVar, Union
 from pydantic import Field
 
+import math
 import einops
 import PIL.Image
 import numpy as np
@@ -42,6 +43,8 @@ from .diffusion import (
 @dataclass
 class PipelineIntermediateState:
     step: int
+    order: int
+    total_steps: int
     timestep: int
     latents: torch.Tensor
     predicted_original: Optional[torch.Tensor] = None
@@ -484,6 +487,8 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
 
             yield PipelineIntermediateState(
                 step=-1,
+                order=self.scheduler.order,
+                total_steps=len(timesteps),
                 timestep=self.scheduler.config.num_train_timesteps,
                 latents=latents,
             )
@@ -522,6 +527,8 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
 
                 yield PipelineIntermediateState(
                     step=i,
+                    order=self.scheduler.order,
+                    total_steps=len(timesteps),
                     timestep=int(t),
                     latents=latents,
                     predicted_original=predicted_original,

From 604cc17a3a6441b50c787f39c8b3e8292d735245 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Wed, 9 Aug 2023 11:19:05 +1000
Subject: [PATCH 129/287] Yarn build JS files

---
 .../{App-3594329a.js => App-4a928bb6.js}      |  44 ++---
 ...c15.js => ThemeLocaleProvider-6fe89879.js} |   2 +-
 .../web/dist/assets/index-dd054634.js         | 151 ++++++++++++++++++
 .../web/dist/assets/index-de589048.js         | 151 ------------------
 .../{menu-11348abc.js => menu-b42141e3.js}    |   2 +-
 5 files changed, 175 insertions(+), 175 deletions(-)
 rename invokeai/frontend/web/dist/assets/{App-3594329a.js => App-4a928bb6.js} (66%)
 rename invokeai/frontend/web/dist/assets/{ThemeLocaleProvider-31ab5c15.js => ThemeLocaleProvider-6fe89879.js} (99%)
 create mode 100644 invokeai/frontend/web/dist/assets/index-dd054634.js
 delete mode 100644 invokeai/frontend/web/dist/assets/index-de589048.js
 rename invokeai/frontend/web/dist/assets/{menu-11348abc.js => menu-b42141e3.js} (99%)

diff --git a/invokeai/frontend/web/dist/assets/App-3594329a.js b/invokeai/frontend/web/dist/assets/App-4a928bb6.js
similarity index 66%
rename from invokeai/frontend/web/dist/assets/App-3594329a.js
rename to invokeai/frontend/web/dist/assets/App-4a928bb6.js
index 825a007449..4b274bda51 100644
--- a/invokeai/frontend/web/dist/assets/App-3594329a.js
+++ b/invokeai/frontend/web/dist/assets/App-4a928bb6.js
@@ -1,6 +1,6 @@
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s={width:n.offsetWidth,height:n.offsetHeight};return r&&(this.parentNode.style.flexWrap=o),this.removeBase(n),s},t.prototype.bindEvents=function(){this.window&&(this.window.addEventListener("mouseup",this.onMouseUp),this.window.addEventListener("mousemove",this.onMouseMove),this.window.addEventListener("mouseleave",this.onMouseUp),this.window.addEventListener("touchmove",this.onMouseMove,{capture:!0,passive:!1}),this.window.addEventListener("touchend",this.onMouseUp))},t.prototype.unbindEvents=function(){this.window&&(this.window.removeEventListener("mouseup",this.onMouseUp),this.window.removeEventListener("mousemove",this.onMouseMove),this.window.removeEventListener("mouseleave",this.onMouseUp),this.window.removeEventListener("touchmove",this.onMouseMove,!0),this.window.removeEventListener("touchend",this.onMouseUp))},t.prototype.componentDidMount=function(){if(!(!this.resizable||!this.window)){var n=this.window.getComputedStyle(this.resizable);this.setState({width:this.state.width||this.size.width,height:this.state.height||this.size.height,flexBasis:n.flexBasis!=="auto"?n.flexBasis:void 0})}},t.prototype.componentWillUnmount=function(){this.window&&this.unbindEvents()},t.prototype.createSizeForCssProperty=function(n,r){var o=this.propsSize&&this.propsSize[r];return this.state[r]==="auto"&&this.state.original[r]===n&&(typeof o>"u"||o==="auto")?"auto":n},t.prototype.calculateNewMaxFromBoundary=function(n,r){var o=this.props.boundsByDirection,s=this.state.direction,a=o&&Ul("left",s),c=o&&Ul("top",s),d,p;if(this.props.bounds==="parent"){var h=this.parentNode;h&&(d=a?this.resizableRight-this.parentLeft:h.offsetWidth+(this.parentLeft-this.resizableLeft),p=c?this.resizableBottom-this.parentTop:h.offsetHeight+(this.parentTop-this.resizableTop))}else this.props.bounds==="window"?this.window&&(d=a?this.resizableRight:this.window.innerWidth-this.resizableLeft,p=c?this.resizableBottom:this.window.innerHeight-this.resizableTop):this.props.bounds&&(d=a?this.resizableRight-this.targetLeft:this.props.bounds.offsetWidth+(this.targetLeft-this.resizableLeft),p=c?this.resizableBottom-this.targetTop:this.props.bounds.offsetHeight+(this.targetTop-this.resizableTop));return d&&Number.isFinite(d)&&(n=n&&n<d?n:d),p&&Number.isFinite(p)&&(r=r&&r<p?r:p),{maxWidth:n,maxHeight:r}},t.prototype.calculateNewSizeFromDirection=function(n,r){var o=this.props.scale||1,s=this.props.resizeRatio||1,a=this.state,c=a.direction,d=a.original,p=this.props,h=p.lockAspectRatio,m=p.lockAspectRatioExtraHeight,v=p.lockAspectRatioExtraWidth,b=d.width,w=d.height,y=m||0,S=v||0;return Ul("right",c)&&(b=d.width+(n-d.x)*s/o,h&&(w=(b-S)/this.ratio+y)),Ul("left",c)&&(b=d.width-(n-d.x)*s/o,h&&(w=(b-S)/this.ratio+y)),Ul("bottom",c)&&(w=d.height+(r-d.y)*s/o,h&&(b=(w-y)*this.ratio+S)),Ul("top",c)&&(w=d.height-(r-d.y)*s/o,h&&(b=(w-y)*this.ratio+S)),{newWidth:b,newHeight:w}},t.prototype.calculateNewSizeFromAspectRatio=function(n,r,o,s){var a=this.props,c=a.lockAspectRatio,d=a.lockAspectRatioExtraHeight,p=a.lockAspectRatioExtraWidth,h=typeof s.width>"u"?10:s.width,m=typeof o.width>"u"||o.width<0?n:o.width,v=typeof s.height>"u"?10:s.height,b=typeof o.height>"u"||o.height<0?r:o.height,w=d||0,y=p||0;if(c){var S=(v-w)*this.ratio+y,k=(b-w)*this.ratio+y,_=(h-y)/this.ratio+w,P=(m-y)/this.ratio+w,I=Math.max(h,S),E=Math.min(m,k),O=Math.max(v,_),R=Math.min(b,P);n=cp(n,I,E),r=cp(r,O,R)}else n=cp(n,h,m),r=cp(r,v,b);return{newWidth:n,newHeight:r}},t.prototype.setBoundingClientRect=function(){if(this.props.bounds==="parent"){var n=this.parentNode;if(n){var r=n.getBoundingClientRect();this.parentLeft=r.left,this.parentTop=r.top}}if(this.props.bounds&&typeof this.props.bounds!="string"){var o=this.props.bounds.getBoundingClientRect();this.targetLeft=o.left,this.targetTop=o.top}if(this.resizable){var s=this.resizable.getBoundingClientRect(),a=s.left,c=s.top,d=s.right,p=s.bottom;this.resizableLeft=a,this.resizableRight=d,this.resizableTop=c,this.resizableBottom=p}},t.prototype.onResizeStart=function(n,r){if(!(!this.resizable||!this.window)){var o=0,s=0;if(n.nativeEvent&&pY(n.nativeEvent)?(o=n.nativeEvent.clientX,s=n.nativeEvent.clientY):n.nativeEvent&&up(n.nativeEvent)&&(o=n.nativeEvent.touches[0].clientX,s=n.nativeEvent.touches[0].clientY),this.props.onResizeStart&&this.resizable){var a=this.props.onResizeStart(n,r,this.resizable);if(a===!1)return}this.props.size&&(typeof this.props.size.height<"u"&&this.props.size.height!==this.state.height&&this.setState({height:this.props.size.height}),typeof this.props.size.width<"u"&&this.props.size.width!==this.state.width&&this.setState({width:this.props.size.width})),this.ratio=typeof this.props.lockAspectRatio=="number"?this.props.lockAspectRatio:this.size.width/this.size.height;var c,d=this.window.getComputedStyle(this.resizable);if(d.flexBasis!=="auto"){var p=this.parentNode;if(p){var h=this.window.getComputedStyle(p).flexDirection;this.flexDir=h.startsWith("row")?"row":"column",c=d.flexBasis}}this.setBoundingClientRect(),this.bindEvents();var m={original:{x:o,y:s,width:this.size.width,height:this.size.height},isResizing:!0,backgroundStyle:qs(qs({},this.state.backgroundStyle),{cursor:this.window.getComputedStyle(n.target).cursor||"auto"}),direction:r,flexBasis:c};this.setState(m)}},t.prototype.onMouseMove=function(n){var r=this;if(!(!this.state.isResizing||!this.resizable||!this.window)){if(this.window.TouchEvent&&up(n))try{n.preventDefault(),n.stopPropagation()}catch{}var o=this.props,s=o.maxWidth,a=o.maxHeight,c=o.minWidth,d=o.minHeight,p=up(n)?n.touches[0].clientX:n.clientX,h=up(n)?n.touches[0].clientY:n.clientY,m=this.state,v=m.direction,b=m.original,w=m.width,y=m.height,S=this.getParentSize(),k=hY(S,this.window.innerWidth,this.window.innerHeight,s,a,c,d);s=k.maxWidth,a=k.maxHeight,c=k.minWidth,d=k.minHeight;var _=this.calculateNewSizeFromDirection(p,h),P=_.newHeight,I=_.newWidth,E=this.calculateNewMaxFromBoundary(s,a);this.props.snap&&this.props.snap.x&&(I=M4(I,this.props.snap.x,this.props.snapGap)),this.props.snap&&this.props.snap.y&&(P=M4(P,this.props.snap.y,this.props.snapGap));var O=this.calculateNewSizeFromAspectRatio(I,P,{width:E.maxWidth,height:E.maxHeight},{width:c,height:d});if(I=O.newWidth,P=O.newHeight,this.props.grid){var R=R4(I,this.props.grid[0]),M=R4(P,this.props.grid[1]),D=this.props.snapGap||0;I=D===0||Math.abs(R-I)<=D?R:I,P=D===0||Math.abs(M-P)<=D?M:P}var A={width:I-b.width,height:P-b.height};if(w&&typeof w=="string"){if(w.endsWith("%")){var L=I/S.width*100;I=L+"%"}else if(w.endsWith("vw")){var Q=I/this.window.innerWidth*100;I=Q+"vw"}else if(w.endsWith("vh")){var F=I/this.window.innerHeight*100;I=F+"vh"}}if(y&&typeof y=="string"){if(y.endsWith("%")){var L=P/S.height*100;P=L+"%"}else if(y.endsWith("vw")){var Q=P/this.window.innerWidth*100;P=Q+"vw"}else if(y.endsWith("vh")){var F=P/this.window.innerHeight*100;P=F+"vh"}}var V={width:this.createSizeForCssProperty(I,"width"),height:this.createSizeForCssProperty(P,"height")};this.flexDir==="row"?V.flexBasis=V.width:this.flexDir==="column"&&(V.flexBasis=V.height),ki.flushSync(function(){r.setState(V)}),this.props.onResize&&this.props.onResize(n,v,this.resizable,A)}},t.prototype.onMouseUp=function(n){var r=this.state,o=r.isResizing,s=r.direction,a=r.original;if(!(!o||!this.resizable)){var c={width:this.size.width-a.width,height:this.size.height-a.height};this.props.onResizeStop&&this.props.onResizeStop(n,s,this.resizable,c),this.props.size&&this.setState(this.props.size),this.unbindEvents(),this.setState({isResizing:!1,backgroundStyle:qs(qs({},this.state.backgroundStyle),{cursor:"auto"})})}},t.prototype.updateSize=function(n){this.setState({width:n.width,height:n.height})},t.prototype.renderResizer=function(){var n=this,r=this.props,o=r.enable,s=r.handleStyles,a=r.handleClasses,c=r.handleWrapperStyle,d=r.handleWrapperClass,p=r.handleComponent;if(!o)return null;var h=Object.keys(o).map(function(m){return o[m]!==!1?f.createElement(uY,{key:m,direction:m,onResizeStart:n.onResizeStart,replaceStyles:s&&s[m],className:a&&a[m]},p&&p[m]?p[m]:null):null});return f.createElement("div",{className:d,style:c},h)},t.prototype.render=function(){var n=this,r=Object.keys(this.props).reduce(function(a,c){return mY.indexOf(c)!==-1||(a[c]=n.props[c]),a},{}),o=qs(qs(qs({position:"relative",userSelect:this.state.isResizing?"none":"auto"},this.props.style),this.sizeStyle),{maxWidth:this.props.maxWidth,maxHeight:this.props.maxHeight,minWidth:this.props.minWidth,minHeight:this.props.minHeight,boxSizing:"border-box",flexShrink:0});this.state.flexBasis&&(o.flexBasis=this.state.flexBasis);var s=this.props.as||"div";return f.createElement(s,qs({ref:this.ref,style:o,className:this.props.className},r),this.state.isResizing&&f.createElement("div",{style:this.state.backgroundStyle}),this.props.children,this.renderResizer())},t.defaultProps={as:"div",onResizeStart:function(){},onResize:function(){},onResizeStop:function(){},enable:{top:!0,right:!0,bottom:!0,left:!0,topRight:!0,bottomRight:!0,bottomLeft:!0,topLeft:!0},style:{},grid:[1,1],lockAspectRatio:!1,lockAspectRatioExtraWidth:0,lockAspectRatioExtraHeight:0,scale:1,resizeRatio:1,snapGap:0},t}(f.PureComponent);const vY=({direction:e,langDirection:t})=>({top:e==="bottom",right:t!=="rtl"&&e==="left"||t==="rtl"&&e==="right",bottom:e==="top",left:t!=="rtl"&&e==="right"||t==="rtl"&&e==="left"}),bY=({direction:e,minWidth:t,maxWidth:n,minHeight:r,maxHeight:o})=>{const s=t??(["left","right"].includes(e)?10:void 0),a=n??(["left","right"].includes(e)?"95vw":void 0),c=r??(["top","bottom"].includes(e)?10:void 0),d=o??(["top","bottom"].includes(e)?"95vh":void 0);return{...s?{minWidth:s}:{},...a?{maxWidth:a}:{},...c?{minHeight:c}:{},...d?{maxHeight:d}:{}}},ba="0.75rem",fp="1rem",xu="5px",yY=({isResizable:e,direction:t})=>{const n=`calc((2 * ${ba} + ${xu}) / -2)`;return 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s={width:n.offsetWidth,height:n.offsetHeight};return r&&(this.parentNode.style.flexWrap=o),this.removeBase(n),s},t.prototype.bindEvents=function(){this.window&&(this.window.addEventListener("mouseup",this.onMouseUp),this.window.addEventListener("mousemove",this.onMouseMove),this.window.addEventListener("mouseleave",this.onMouseUp),this.window.addEventListener("touchmove",this.onMouseMove,{capture:!0,passive:!1}),this.window.addEventListener("touchend",this.onMouseUp))},t.prototype.unbindEvents=function(){this.window&&(this.window.removeEventListener("mouseup",this.onMouseUp),this.window.removeEventListener("mousemove",this.onMouseMove),this.window.removeEventListener("mouseleave",this.onMouseUp),this.window.removeEventListener("touchmove",this.onMouseMove,!0),this.window.removeEventListener("touchend",this.onMouseUp))},t.prototype.componentDidMount=function(){if(!(!this.resizable||!this.window)){var n=this.window.getComputedStyle(this.resizable);this.setState({width:this.state.width||this.size.width,height:this.state.height||this.size.height,flexBasis:n.flexBasis!=="auto"?n.flexBasis:void 0})}},t.prototype.componentWillUnmount=function(){this.window&&this.unbindEvents()},t.prototype.createSizeForCssProperty=function(n,r){var o=this.propsSize&&this.propsSize[r];return this.state[r]==="auto"&&this.state.original[r]===n&&(typeof o>"u"||o==="auto")?"auto":n},t.prototype.calculateNewMaxFromBoundary=function(n,r){var o=this.props.boundsByDirection,s=this.state.direction,a=o&&Ul("left",s),c=o&&Ul("top",s),d,p;if(this.props.bounds==="parent"){var h=this.parentNode;h&&(d=a?this.resizableRight-this.parentLeft:h.offsetWidth+(this.parentLeft-this.resizableLeft),p=c?this.resizableBottom-this.parentTop:h.offsetHeight+(this.parentTop-this.resizableTop))}else this.props.bounds==="window"?this.window&&(d=a?this.resizableRight:this.window.innerWidth-this.resizableLeft,p=c?this.resizableBottom:this.window.innerHeight-this.resizableTop):this.props.bounds&&(d=a?this.resizableRight-this.targetLeft:this.props.bounds.offsetWidth+(this.targetLeft-this.resizableLeft),p=c?this.resizableBottom-this.targetTop:this.props.bounds.offsetHeight+(this.targetTop-this.resizableTop));return d&&Number.isFinite(d)&&(n=n&&n<d?n:d),p&&Number.isFinite(p)&&(r=r&&r<p?r:p),{maxWidth:n,maxHeight:r}},t.prototype.calculateNewSizeFromDirection=function(n,r){var o=this.props.scale||1,s=this.props.resizeRatio||1,a=this.state,c=a.direction,d=a.original,p=this.props,h=p.lockAspectRatio,m=p.lockAspectRatioExtraHeight,v=p.lockAspectRatioExtraWidth,b=d.width,w=d.height,y=m||0,S=v||0;return Ul("right",c)&&(b=d.width+(n-d.x)*s/o,h&&(w=(b-S)/this.ratio+y)),Ul("left",c)&&(b=d.width-(n-d.x)*s/o,h&&(w=(b-S)/this.ratio+y)),Ul("bottom",c)&&(w=d.height+(r-d.y)*s/o,h&&(b=(w-y)*this.ratio+S)),Ul("top",c)&&(w=d.height-(r-d.y)*s/o,h&&(b=(w-y)*this.ratio+S)),{newWidth:b,newHeight:w}},t.prototype.calculateNewSizeFromAspectRatio=function(n,r,o,s){var a=this.props,c=a.lockAspectRatio,d=a.lockAspectRatioExtraHeight,p=a.lockAspectRatioExtraWidth,h=typeof s.width>"u"?10:s.width,m=typeof o.width>"u"||o.width<0?n:o.width,v=typeof s.height>"u"?10:s.height,b=typeof o.height>"u"||o.height<0?r:o.height,w=d||0,y=p||0;if(c){var S=(v-w)*this.ratio+y,k=(b-w)*this.ratio+y,_=(h-y)/this.ratio+w,P=(m-y)/this.ratio+w,I=Math.max(h,S),E=Math.min(m,k),O=Math.max(v,_),R=Math.min(b,P);n=up(n,I,E),r=up(r,O,R)}else n=up(n,h,m),r=up(r,v,b);return{newWidth:n,newHeight:r}},t.prototype.setBoundingClientRect=function(){if(this.props.bounds==="parent"){var n=this.parentNode;if(n){var r=n.getBoundingClientRect();this.parentLeft=r.left,this.parentTop=r.top}}if(this.props.bounds&&typeof this.props.bounds!="string"){var o=this.props.bounds.getBoundingClientRect();this.targetLeft=o.left,this.targetTop=o.top}if(this.resizable){var s=this.resizable.getBoundingClientRect(),a=s.left,c=s.top,d=s.right,p=s.bottom;this.resizableLeft=a,this.resizableRight=d,this.resizableTop=c,this.resizableBottom=p}},t.prototype.onResizeStart=function(n,r){if(!(!this.resizable||!this.window)){var o=0,s=0;if(n.nativeEvent&&pY(n.nativeEvent)?(o=n.nativeEvent.clientX,s=n.nativeEvent.clientY):n.nativeEvent&&dp(n.nativeEvent)&&(o=n.nativeEvent.touches[0].clientX,s=n.nativeEvent.touches[0].clientY),this.props.onResizeStart&&this.resizable){var a=this.props.onResizeStart(n,r,this.resizable);if(a===!1)return}this.props.size&&(typeof this.props.size.height<"u"&&this.props.size.height!==this.state.height&&this.setState({height:this.props.size.height}),typeof this.props.size.width<"u"&&this.props.size.width!==this.state.width&&this.setState({width:this.props.size.width})),this.ratio=typeof this.props.lockAspectRatio=="number"?this.props.lockAspectRatio:this.size.width/this.size.height;var c,d=this.window.getComputedStyle(this.resizable);if(d.flexBasis!=="auto"){var p=this.parentNode;if(p){var h=this.window.getComputedStyle(p).flexDirection;this.flexDir=h.startsWith("row")?"row":"column",c=d.flexBasis}}this.setBoundingClientRect(),this.bindEvents();var m={original:{x:o,y:s,width:this.size.width,height:this.size.height},isResizing:!0,backgroundStyle:qs(qs({},this.state.backgroundStyle),{cursor:this.window.getComputedStyle(n.target).cursor||"auto"}),direction:r,flexBasis:c};this.setState(m)}},t.prototype.onMouseMove=function(n){var r=this;if(!(!this.state.isResizing||!this.resizable||!this.window)){if(this.window.TouchEvent&&dp(n))try{n.preventDefault(),n.stopPropagation()}catch{}var o=this.props,s=o.maxWidth,a=o.maxHeight,c=o.minWidth,d=o.minHeight,p=dp(n)?n.touches[0].clientX:n.clientX,h=dp(n)?n.touches[0].clientY:n.clientY,m=this.state,v=m.direction,b=m.original,w=m.width,y=m.height,S=this.getParentSize(),k=hY(S,this.window.innerWidth,this.window.innerHeight,s,a,c,d);s=k.maxWidth,a=k.maxHeight,c=k.minWidth,d=k.minHeight;var _=this.calculateNewSizeFromDirection(p,h),P=_.newHeight,I=_.newWidth,E=this.calculateNewMaxFromBoundary(s,a);this.props.snap&&this.props.snap.x&&(I=M4(I,this.props.snap.x,this.props.snapGap)),this.props.snap&&this.props.snap.y&&(P=M4(P,this.props.snap.y,this.props.snapGap));var O=this.calculateNewSizeFromAspectRatio(I,P,{width:E.maxWidth,height:E.maxHeight},{width:c,height:d});if(I=O.newWidth,P=O.newHeight,this.props.grid){var R=R4(I,this.props.grid[0]),M=R4(P,this.props.grid[1]),D=this.props.snapGap||0;I=D===0||Math.abs(R-I)<=D?R:I,P=D===0||Math.abs(M-P)<=D?M:P}var A={width:I-b.width,height:P-b.height};if(w&&typeof w=="string"){if(w.endsWith("%")){var L=I/S.width*100;I=L+"%"}else if(w.endsWith("vw")){var Q=I/this.window.innerWidth*100;I=Q+"vw"}else if(w.endsWith("vh")){var F=I/this.window.innerHeight*100;I=F+"vh"}}if(y&&typeof y=="string"){if(y.endsWith("%")){var L=P/S.height*100;P=L+"%"}else if(y.endsWith("vw")){var Q=P/this.window.innerWidth*100;P=Q+"vw"}else if(y.endsWith("vh")){var F=P/this.window.innerHeight*100;P=F+"vh"}}var V={width:this.createSizeForCssProperty(I,"width"),height:this.createSizeForCssProperty(P,"height")};this.flexDir==="row"?V.flexBasis=V.width:this.flexDir==="column"&&(V.flexBasis=V.height),_i.flushSync(function(){r.setState(V)}),this.props.onResize&&this.props.onResize(n,v,this.resizable,A)}},t.prototype.onMouseUp=function(n){var r=this.state,o=r.isResizing,s=r.direction,a=r.original;if(!(!o||!this.resizable)){var c={width:this.size.width-a.width,height:this.size.height-a.height};this.props.onResizeStop&&this.props.onResizeStop(n,s,this.resizable,c),this.props.size&&this.setState(this.props.size),this.unbindEvents(),this.setState({isResizing:!1,backgroundStyle:qs(qs({},this.state.backgroundStyle),{cursor:"auto"})})}},t.prototype.updateSize=function(n){this.setState({width:n.width,height:n.height})},t.prototype.renderResizer=function(){var n=this,r=this.props,o=r.enable,s=r.handleStyles,a=r.handleClasses,c=r.handleWrapperStyle,d=r.handleWrapperClass,p=r.handleComponent;if(!o)return null;var h=Object.keys(o).map(function(m){return o[m]!==!1?f.createElement(uY,{key:m,direction:m,onResizeStart:n.onResizeStart,replaceStyles:s&&s[m],className:a&&a[m]},p&&p[m]?p[m]:null):null});return f.createElement("div",{className:d,style:c},h)},t.prototype.render=function(){var n=this,r=Object.keys(this.props).reduce(function(a,c){return mY.indexOf(c)!==-1||(a[c]=n.props[c]),a},{}),o=qs(qs(qs({position:"relative",userSelect:this.state.isResizing?"none":"auto"},this.props.style),this.sizeStyle),{maxWidth:this.props.maxWidth,maxHeight:this.props.maxHeight,minWidth:this.props.minWidth,minHeight:this.props.minHeight,boxSizing:"border-box",flexShrink:0});this.state.flexBasis&&(o.flexBasis=this.state.flexBasis);var s=this.props.as||"div";return f.createElement(s,qs({ref:this.ref,style:o,className:this.props.className},r),this.state.isResizing&&f.createElement("div",{style:this.state.backgroundStyle}),this.props.children,this.renderResizer())},t.defaultProps={as:"div",onResizeStart:function(){},onResize:function(){},onResizeStop:function(){},enable:{top:!0,right:!0,bottom:!0,left:!0,topRight:!0,bottomRight:!0,bottomLeft:!0,topLeft:!0},style:{},grid:[1,1],lockAspectRatio:!1,lockAspectRatioExtraWidth:0,lockAspectRatioExtraHeight:0,scale:1,resizeRatio:1,snapGap:0},t}(f.PureComponent);const vY=({direction:e,langDirection:t})=>({top:e==="bottom",right:t!=="rtl"&&e==="left"||t==="rtl"&&e==="right",bottom:e==="top",left:t!=="rtl"&&e==="right"||t==="rtl"&&e==="left"}),bY=({direction:e,minWidth:t,maxWidth:n,minHeight:r,maxHeight:o})=>{const s=t??(["left","right"].includes(e)?10:void 0),a=n??(["left","right"].includes(e)?"95vw":void 0),c=r??(["top","bottom"].includes(e)?10:void 0),d=o??(["top","bottom"].includes(e)?"95vh":void 0);return{...s?{minWidth:s}:{},...a?{maxWidth:a}:{},...c?{minHeight:c}:{},...d?{maxHeight:d}:{}}},ba="0.75rem",pp="1rem",wu="5px",yY=({isResizable:e,direction:t})=>{const n=`calc((2 * ${ba} + ${wu}) / -2)`;return 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Xe=Ce[He],jt=Xe[0],Et=Xe[1];if(ft.overrideExisting||!(jt in ut.endpointDefinitions)){ut.endpointDefinitions[jt]=Et;for(var Nt=0,qt=Ht;Nt<qt.length;Nt++)qt[Nt].injectEndpoint(jt,Et)}}return ot},enhanceEndpoints:function(ft){var xt=ft.addTagTypes,He=ft.endpoints;if(xt)for(var Ce=0,Xe=xt;Ce<Xe.length;Ce++){var jt=Xe[Ce];me.tagTypes.includes(jt)||me.tagTypes.push(jt)}if(He)for(var Et=0,Nt=Object.entries(He);Et<Nt.length;Et++){var qt=Nt[Et],tn=qt[0],en=qt[1];typeof en=="function"?en(ut.endpointDefinitions[tn]):Object.assign(ut.endpointDefinitions[tn]||{},en)}return ot}},Ht=J.map(function(ft){return ft.init(ot,me,ut)});return ot.injectEndpoints({endpoints:he.endpoints})}}function dt(){return function(){throw new Error("When using `fakeBaseQuery`, all queries & mutations must use the `queryFn` definition syntax.")}}var zt,lr=I(Lo),pn=function(J){var ee=J.reducerPath,he=J.api,_e=J.context,me=J.internalState,ut=he.internalActions,ot=ut.removeQueryResult,Ht=ut.unsubscribeQueryResult;function ft(Ce){var Xe=me.currentSubscriptions[Ce];return!!Xe&&!function(jt){for(var Et in jt)return!1;return!0}(Xe)}var xt={};function He(Ce,Xe,jt,Et){var Nt,qt=_e.endpointDefinitions[Xe],tn=(Nt=qt==null?void 0:qt.keepUnusedDataFor)!=null?Nt:Et.keepUnusedDataFor;if(tn!==1/0){var en=Math.max(0,Math.min(tn,2147482647e-3));if(!ft(Ce)){var Ut=xt[Ce];Ut&&clearTimeout(Ut),xt[Ce]=setTimeout(function(){ft(Ce)||jt.dispatch(ot({queryCacheKey:Ce})),delete xt[Ce]},1e3*en)}}}return function(Ce,Xe,jt){var Et;if(Ht.match(Ce)){var Nt=Xe.getState()[ee];He(jn=Ce.payload.queryCacheKey,(Et=Nt.queries[jn])==null?void 0:Et.endpointName,Xe,Nt.config)}if(he.util.resetApiState.match(Ce))for(var qt=0,tn=Object.entries(xt);qt<tn.length;qt++){var en=tn[qt],Ut=en[0],Be=en[1];Be&&clearTimeout(Be),delete xt[Ut]}if(_e.hasRehydrationInfo(Ce)){Nt=Xe.getState()[ee];for(var yt=_e.extractRehydrationInfo(Ce).queries,Mt=0,Wt=Object.entries(yt);Mt<Wt.length;Mt++){var jn,Gt=Wt[Mt],un=Gt[1];He(jn=Gt[0],un==null?void 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jt=Ce.queryCacheKey,Et=Xe.getState()[ee].queries[jt];if(Et&&Et.status!==t.uninitialized){var Nt=He(ut.currentSubscriptions[jt]);if(Number.isFinite(Nt)){var qt=ot[jt];qt!=null&&qt.timeout&&(clearTimeout(qt.timeout),qt.timeout=void 0);var tn=Date.now()+Nt,en=ot[jt]={nextPollTimestamp:tn,pollingInterval:Nt,timeout:setTimeout(function(){en.timeout=void 0,Xe.dispatch(me(Et,jt))},Nt)}}}}function ft(Ce,Xe){var jt=Ce.queryCacheKey,Et=Xe.getState()[ee].queries[jt];if(Et&&Et.status!==t.uninitialized){var Nt=He(ut.currentSubscriptions[jt]);if(Number.isFinite(Nt)){var qt=ot[jt],tn=Date.now()+Nt;(!qt||tn<qt.nextPollTimestamp)&&Ht({queryCacheKey:jt},Xe)}else xt(jt)}}function xt(Ce){var Xe=ot[Ce];Xe!=null&&Xe.timeout&&clearTimeout(Xe.timeout),delete ot[Ce]}function He(Ce){Ce===void 0&&(Ce={});var Xe=Number.POSITIVE_INFINITY;for(var jt in Ce)Ce[jt].pollingInterval&&(Xe=Math.min(Ce[jt].pollingInterval,Xe));return Xe}return function(Ce,Xe){(_e.internalActions.updateSubscriptionOptions.match(Ce)||_e.internalActions.unsubscribeQueryResult.match(Ce))&&ft(Ce.payload,Xe),(he.pending.match(Ce)||he.rejected.match(Ce)&&Ce.meta.condition)&&ft(Ce.meta.arg,Xe),(he.fulfilled.match(Ce)||he.rejected.match(Ce)&&!Ce.meta.condition)&&Ht(Ce.meta.arg,Xe),_e.util.resetApiState.match(Ce)&&function(){for(var jt=0,Et=Object.keys(ot);jt<Et.length;jt++)xt(Et[jt])}()}},Fn=I(Lo),Hn=new Error("Promise never resolved before cacheEntryRemoved."),Wn=function(J){var ee=J.api,he=J.reducerPath,_e=J.context,me=J.queryThunk,ut=J.mutationThunk,ot=(0,Fn.isAsyncThunkAction)(me),Ht=(0,Fn.isAsyncThunkAction)(ut),ft=(0,Fn.isFulfilled)(me,ut),xt={};function He(Ce,Xe,jt,Et,Nt){var qt=_e.endpointDefinitions[Ce],tn=qt==null?void 0:qt.onCacheEntryAdded;if(tn){var en={},Ut=new Promise(function(Gt){en.cacheEntryRemoved=Gt}),Be=Promise.race([new Promise(function(Gt){en.valueResolved=Gt}),Ut.then(function(){throw Hn})]);Be.catch(function(){}),xt[jt]=en;var yt=ee.endpoints[Ce].select(qt.type===U.query?Xe:jt),Mt=Et.dispatch(function(Gt,un,sn){return sn}),Wt=k(S({},Et),{getCacheEntry:function(){return yt(Et.getState())},requestId:Nt,extra:Mt,updateCachedData:qt.type===U.query?function(Gt){return Et.dispatch(ee.util.updateQueryData(Ce,Xe,Gt))}:void 0,cacheDataLoaded:Be,cacheEntryRemoved:Ut}),jn=tn(Xe,Wt);Promise.resolve(jn).catch(function(Gt){if(Gt!==Hn)throw Gt})}}return function(Ce,Xe,jt){var Et=function(yt){return ot(yt)?yt.meta.arg.queryCacheKey:Ht(yt)?yt.meta.requestId:ee.internalActions.removeQueryResult.match(yt)?yt.payload.queryCacheKey:ee.internalActions.removeMutationResult.match(yt)?Se(yt.payload):""}(Ce);if(me.pending.match(Ce)){var Nt=jt[he].queries[Et],qt=Xe.getState()[he].queries[Et];!Nt&&qt&&He(Ce.meta.arg.endpointName,Ce.meta.arg.originalArgs,Et,Xe,Ce.meta.requestId)}else if(ut.pending.match(Ce))(qt=Xe.getState()[he].mutations[Et])&&He(Ce.meta.arg.endpointName,Ce.meta.arg.originalArgs,Et,Xe,Ce.meta.requestId);else if(ft(Ce))(Be=xt[Et])!=null&&Be.valueResolved&&(Be.valueResolved({data:Ce.payload,meta:Ce.meta.baseQueryMeta}),delete Be.valueResolved);else if(ee.internalActions.removeQueryResult.match(Ce)||ee.internalActions.removeMutationResult.match(Ce))(Be=xt[Et])&&(delete xt[Et],Be.cacheEntryRemoved());else if(ee.util.resetApiState.match(Ce))for(var tn=0,en=Object.entries(xt);tn<en.length;tn++){var Ut=en[tn],Be=Ut[1];delete xt[Ut[0]],Be.cacheEntryRemoved()}}},Nr=I(Lo),Do=function(J){var ee=J.api,he=J.context,_e=J.queryThunk,me=J.mutationThunk,ut=(0,Nr.isPending)(_e,me),ot=(0,Nr.isRejected)(_e,me),Ht=(0,Nr.isFulfilled)(_e,me),ft={};return function(xt,He){var Ce,Xe,jt;if(ut(xt)){var Et=xt.meta,Nt=Et.requestId,qt=Et.arg,tn=qt.endpointName,en=qt.originalArgs,Ut=he.endpointDefinitions[tn],Be=Ut==null?void 0:Ut.onQueryStarted;if(Be){var yt={},Mt=new Promise(function(Jn,It){yt.resolve=Jn,yt.reject=It});Mt.catch(function(){}),ft[Nt]=yt;var Wt=ee.endpoints[tn].select(Ut.type===U.query?en:Nt),jn=He.dispatch(function(Jn,It,In){return In}),Gt=k(S({},He),{getCacheEntry:function(){return Wt(He.getState())},requestId:Nt,extra:jn,updateCachedData:Ut.type===U.query?function(Jn){return He.dispatch(ee.util.updateQueryData(tn,en,Jn))}:void 0,queryFulfilled:Mt});Be(en,Gt)}}else if(Ht(xt)){var un=xt.meta,sn=un.baseQueryMeta;(Ce=ft[Nt=un.requestId])==null||Ce.resolve({data:xt.payload,meta:sn}),delete ft[Nt]}else if(ot(xt)){var Or=xt.meta;sn=Or.baseQueryMeta,(jt=ft[Nt=Or.requestId])==null||jt.reject({error:(Xe=xt.payload)!=null?Xe:xt.error,isUnhandledError:!Or.rejectedWithValue,meta:sn}),delete ft[Nt]}}},Wr=function(J){var ee=J.api,he=J.context.apiUid;return function(_e,me){ee.util.resetApiState.match(_e)&&me.dispatch(ee.internalActions.middlewareRegistered(he))}},Vr=I(wu),ds=typeof queueMicrotask=="function"?queueMicrotask.bind(typeof window<"u"?window:typeof Al<"u"?Al:globalThis):function(J){return(zt||(zt=Promise.resolve())).then(J).catch(function(ee){return setTimeout(function(){throw ee},0)})};function $r(J){for(var ee=[],he=1;he<arguments.length;he++)ee[he-1]=arguments[he];Object.assign.apply(Object,o([J],ee))}var $s=I(wu),fs=Symbol(),da=function(){return{name:fs,init:function(J,ee,he){var _e=ee.baseQuery,me=ee.reducerPath,ut=ee.serializeQueryArgs,ot=ee.keepUnusedDataFor,Ht=ee.refetchOnMountOrArgChange,ft=ee.refetchOnFocus,xt=ee.refetchOnReconnect;(0,$s.enablePatches)();var He=function(It){return It};Object.assign(J,{reducerPath:me,endpoints:{},internalActions:{onOnline:fe,onOffline:ie,onFocus:Y,onFocusLost:ae},util:{}});var Ce=function(It){var In=this,Rn=It.reducerPath,Zn=It.baseQuery,mr=It.context.endpointDefinitions,Tn=It.serializeQueryArgs,Nn=It.api,dn=function(qe,Ot){return E(In,[qe,Ot],function(St,st){var wt,Bt,mt,rt,Oe,Ie,De,We,Ze,Dt,Rt,Ve,nn,xn=st.signal,hn=st.abort,gr=st.rejectWithValue,Xn=st.fulfillWithValue,gn=st.dispatch,Vn=st.getState,ao=st.extra;return r(this,function(fn){switch(fn.label){case 0:wt=mr[St.endpointName],fn.label=1;case 1:return fn.trys.push([1,8,,13]),Bt=kt,mt=void 0,rt={signal:xn,abort:hn,dispatch:gn,getState:Vn,extra:ao,endpoint:St.endpointName,type:St.type,forced:St.type==="query"?Sn(St,Vn()):void 0},(Oe=St.type==="query"?St[xe]:void 0)?(mt=Oe(),[3,6]):[3,2];case 2:return wt.query?[4,Zn(wt.query(St.originalArgs),rt,wt.extraOptions)]:[3,4];case 3:return mt=fn.sent(),wt.transformResponse&&(Bt=wt.transformResponse),[3,6];case 4:return[4,wt.queryFn(St.originalArgs,rt,wt.extraOptions,function($n){return Zn($n,rt,wt.extraOptions)})];case 5:mt=fn.sent(),fn.label=6;case 6:if(mt.error)throw new q(mt.error,mt.meta);return Ie=Xn,[4,Bt(mt.data,mt.meta,St.originalArgs)];case 7:return[2,Ie.apply(void 0,[fn.sent(),(Ve={fulfilledTimeStamp:Date.now(),baseQueryMeta:mt.meta},Ve[$e.SHOULD_AUTOBATCH]=!0,Ve)])];case 8:if(De=fn.sent(),!((We=De)instanceof q))return[3,12];Ze=kt,wt.query&&wt.transformErrorResponse&&(Ze=wt.transformErrorResponse),fn.label=9;case 9:return fn.trys.push([9,11,,12]),Dt=gr,[4,Ze(We.value,We.meta,St.originalArgs)];case 10:return[2,Dt.apply(void 0,[fn.sent(),(nn={baseQueryMeta:We.meta},nn[$e.SHOULD_AUTOBATCH]=!0,nn)])];case 11:return Rt=fn.sent(),We=Rt,[3,12];case 12:throw console.error(We),We;case 13:return[2]}})})};function Sn(qe,Ot){var St,st,wt,Bt,mt=(st=(St=Ot[Rn])==null?void 0:St.queries)==null?void 0:st[qe.queryCacheKey],rt=(wt=Ot[Rn])==null?void 0:wt.config.refetchOnMountOrArgChange,Oe=mt==null?void 0:mt.fulfilledTimeStamp,Ie=(Bt=qe.forceRefetch)!=null?Bt:qe.subscribe&&rt;return!!Ie&&(Ie===!0||(Number(new Date)-Number(Oe))/1e3>=Ie)}var En=(0,$e.createAsyncThunk)(Rn+"/executeQuery",dn,{getPendingMeta:function(){var qe;return(qe={startedTimeStamp:Date.now()})[$e.SHOULD_AUTOBATCH]=!0,qe},condition:function(qe,Ot){var St,st,wt,Bt=(0,Ot.getState)(),mt=(st=(St=Bt[Rn])==null?void 0:St.queries)==null?void 0:st[qe.queryCacheKey],rt=mt==null?void 0:mt.fulfilledTimeStamp,Oe=qe.originalArgs,Ie=mt==null?void 0:mt.originalArgs,De=mr[qe.endpointName];return!(!de(qe)&&((mt==null?void 0:mt.status)==="pending"||!Sn(qe,Bt)&&(!oe(De)||!((wt=De==null?void 0:De.forceRefetch)!=null&&wt.call(De,{currentArg:Oe,previousArg:Ie,endpointState:mt,state:Bt})))&&rt))},dispatchConditionRejection:!0}),bn=(0,$e.createAsyncThunk)(Rn+"/executeMutation",dn,{getPendingMeta:function(){var qe;return(qe={startedTimeStamp:Date.now()})[$e.SHOULD_AUTOBATCH]=!0,qe}});function yn(qe){return function(Ot){var St,st;return((st=(St=Ot==null?void 0:Ot.meta)==null?void 0:St.arg)==null?void 0:st.endpointName)===qe}}return{queryThunk:En,mutationThunk:bn,prefetch:function(qe,Ot,St){return function(st,wt){var Bt=function(De){return"force"in De}(St)&&St.force,mt=function(De){return"ifOlderThan"in De}(St)&&St.ifOlderThan,rt=function(De){return De===void 0&&(De=!0),Nn.endpoints[qe].initiate(Ot,{forceRefetch:De})},Oe=Nn.endpoints[qe].select(Ot)(wt());if(Bt)st(rt());else if(mt){var Ie=Oe==null?void 0:Oe.fulfilledTimeStamp;if(!Ie)return void st(rt());(Number(new Date)-Number(new Date(Ie)))/1e3>=mt&&st(rt())}else st(rt(!1))}},updateQueryData:function(qe,Ot,St){return function(st,wt){var Bt,mt,rt=Nn.endpoints[qe].select(Ot)(wt()),Oe={patches:[],inversePatches:[],undo:function(){return st(Nn.util.patchQueryData(qe,Ot,Oe.inversePatches))}};if(rt.status===t.uninitialized)return Oe;if("data"in rt)if((0,Ee.isDraftable)(rt.data)){var Ie=(0,Ee.produceWithPatches)(rt.data,St),De=Ie[2];(Bt=Oe.patches).push.apply(Bt,Ie[1]),(mt=Oe.inversePatches).push.apply(mt,De)}else{var We=St(rt.data);Oe.patches.push({op:"replace",path:[],value:We}),Oe.inversePatches.push({op:"replace",path:[],value:rt.data})}return st(Nn.util.patchQueryData(qe,Ot,Oe.patches)),Oe}},upsertQueryData:function(qe,Ot,St){return function(st){var wt;return st(Nn.endpoints[qe].initiate(Ot,((wt={subscribe:!1,forceRefetch:!0})[xe]=function(){return{data:St}},wt)))}},patchQueryData:function(qe,Ot,St){return function(st){st(Nn.internalActions.queryResultPatched({queryCacheKey:Tn({queryArgs:Ot,endpointDefinition:mr[qe],endpointName:qe}),patches:St}))}},buildMatchThunkActions:function(qe,Ot){return{matchPending:(0,Te.isAllOf)((0,Te.isPending)(qe),yn(Ot)),matchFulfilled:(0,Te.isAllOf)((0,Te.isFulfilled)(qe),yn(Ot)),matchRejected:(0,Te.isAllOf)((0,Te.isRejected)(qe),yn(Ot))}}}}({baseQuery:_e,reducerPath:me,context:he,api:J,serializeQueryArgs:ut}),Xe=Ce.queryThunk,jt=Ce.mutationThunk,Et=Ce.patchQueryData,Nt=Ce.updateQueryData,qt=Ce.upsertQueryData,tn=Ce.prefetch,en=Ce.buildMatchThunkActions,Ut=function(It){var In=It.reducerPath,Rn=It.queryThunk,Zn=It.mutationThunk,mr=It.context,Tn=mr.endpointDefinitions,Nn=mr.apiUid,dn=mr.extractRehydrationInfo,Sn=mr.hasRehydrationInfo,En=It.assertTagType,bn=It.config,yn=(0,ge.createAction)(In+"/resetApiState"),qe=(0,ge.createSlice)({name:In+"/queries",initialState:Pt,reducers:{removeQueryResult:{reducer:function(rt,Oe){delete rt[Oe.payload.queryCacheKey]},prepare:(0,ge.prepareAutoBatched)()},queryResultPatched:function(rt,Oe){var Ie=Oe.payload,De=Ie.patches;bt(rt,Ie.queryCacheKey,function(We){We.data=(0,vt.applyPatches)(We.data,De.concat())})}},extraReducers:function(rt){rt.addCase(Rn.pending,function(Oe,Ie){var De,We=Ie.meta,Ze=Ie.meta.arg,Dt=de(Ze);(Ze.subscribe||Dt)&&(Oe[De=Ze.queryCacheKey]!=null||(Oe[De]={status:t.uninitialized,endpointName:Ze.endpointName})),bt(Oe,Ze.queryCacheKey,function(Rt){Rt.status=t.pending,Rt.requestId=Dt&&Rt.requestId?Rt.requestId:We.requestId,Ze.originalArgs!==void 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De=Ie.meta,We=De.condition,Ze=De.requestId,Dt=Ie.error,Rt=Ie.payload;bt(Oe,De.arg.queryCacheKey,function(Ve){if(!We){if(Ve.requestId!==Ze)return;Ve.status=t.rejected,Ve.error=Rt??Dt}})}).addMatcher(Sn,function(Oe,Ie){for(var De=dn(Ie).queries,We=0,Ze=Object.entries(De);We<Ze.length;We++){var Dt=Ze[We],Rt=Dt[1];(Rt==null?void 0:Rt.status)!==t.fulfilled&&(Rt==null?void 0:Rt.status)!==t.rejected||(Oe[Dt[0]]=Rt)}})}}),Ot=(0,ge.createSlice)({name:In+"/mutations",initialState:Pt,reducers:{removeMutationResult:{reducer:function(rt,Oe){var Ie=Se(Oe.payload);Ie in rt&&delete rt[Ie]},prepare:(0,ge.prepareAutoBatched)()}},extraReducers:function(rt){rt.addCase(Zn.pending,function(Oe,Ie){var De=Ie.meta,We=De.requestId,Ze=De.arg,Dt=De.startedTimeStamp;Ze.track&&(Oe[Se(Ie.meta)]={requestId:We,status:t.pending,endpointName:Ze.endpointName,startedTimeStamp:Dt})}).addCase(Zn.fulfilled,function(Oe,Ie){var De=Ie.payload,We=Ie.meta;We.arg.track&&Me(Oe,We,function(Ze){Ze.requestId===We.requestId&&(Ze.status=t.fulfilled,Ze.data=De,Ze.fulfilledTimeStamp=We.fulfilledTimeStamp)})}).addCase(Zn.rejected,function(Oe,Ie){var De=Ie.payload,We=Ie.error,Ze=Ie.meta;Ze.arg.track&&Me(Oe,Ze,function(Dt){Dt.requestId===Ze.requestId&&(Dt.status=t.rejected,Dt.error=De??We)})}).addMatcher(Sn,function(Oe,Ie){for(var De=dn(Ie).mutations,We=0,Ze=Object.entries(De);We<Ze.length;We++){var Dt=Ze[We],Rt=Dt[0],Ve=Dt[1];(Ve==null?void 0:Ve.status)!==t.fulfilled&&(Ve==null?void 0:Ve.status)!==t.rejected||Rt===(Ve==null?void 0:Ve.requestId)||(Oe[Rt]=Ve)}})}}),St=(0,ge.createSlice)({name:In+"/invalidation",initialState:Pt,reducers:{},extraReducers:function(rt){rt.addCase(qe.actions.removeQueryResult,function(Oe,Ie){for(var De=Ie.payload.queryCacheKey,We=0,Ze=Object.values(Oe);We<Ze.length;We++)for(var Dt=0,Rt=Object.values(Ze[We]);Dt<Rt.length;Dt++){var Ve=Rt[Dt],nn=Ve.indexOf(De);nn!==-1&&Ve.splice(nn,1)}}).addMatcher(Sn,function(Oe,Ie){for(var De,We,Ze,Dt,Rt=dn(Ie).provided,Ve=0,nn=Object.entries(Rt);Ve<nn.length;Ve++)for(var xn=nn[Ve],hn=xn[0],gr=0,Xn=Object.entries(xn[1]);gr<Xn.length;gr++)for(var gn=Xn[gr],Vn=gn[0],ao=gn[1],fn=(Dt=(We=(De=Oe[hn])!=null?De:Oe[hn]={})[Ze=Vn||"__internal_without_id"])!=null?Dt:We[Ze]=[],$n=0,Ur=ao;$n<Ur.length;$n++){var Rr=Ur[$n];fn.includes(Rr)||fn.push(Rr)}}).addMatcher((0,ge.isAnyOf)((0,ge.isFulfilled)(Rn),(0,ge.isRejectedWithValue)(Rn)),function(Oe,Ie){for(var De,We,Ze,Dt,Rt=ct(Ie,"providesTags",Tn,En),Ve=Ie.meta.arg.queryCacheKey,nn=0,xn=Object.values(Oe);nn<xn.length;nn++)for(var hn=0,gr=Object.values(xn[nn]);hn<gr.length;hn++){var Xn=gr[hn],gn=Xn.indexOf(Ve);gn!==-1&&Xn.splice(gn,1)}for(var Vn=0,ao=Rt;Vn<ao.length;Vn++){var 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ft(Ce){var Xe=me.currentSubscriptions[Ce];return!!Xe&&!function(jt){for(var Et in jt)return!1;return!0}(Xe)}var xt={};function He(Ce,Xe,jt,Et){var Nt,qt=_e.endpointDefinitions[Xe],tn=(Nt=qt==null?void 0:qt.keepUnusedDataFor)!=null?Nt:Et.keepUnusedDataFor;if(tn!==1/0){var en=Math.max(0,Math.min(tn,2147482647e-3));if(!ft(Ce)){var Ut=xt[Ce];Ut&&clearTimeout(Ut),xt[Ce]=setTimeout(function(){ft(Ce)||jt.dispatch(ot({queryCacheKey:Ce})),delete xt[Ce]},1e3*en)}}}return function(Ce,Xe,jt){var Et;if(Ht.match(Ce)){var Nt=Xe.getState()[ee];He(jn=Ce.payload.queryCacheKey,(Et=Nt.queries[jn])==null?void 0:Et.endpointName,Xe,Nt.config)}if(he.util.resetApiState.match(Ce))for(var qt=0,tn=Object.entries(xt);qt<tn.length;qt++){var en=tn[qt],Ut=en[0],Be=en[1];Be&&clearTimeout(Be),delete xt[Ut]}if(_e.hasRehydrationInfo(Ce)){Nt=Xe.getState()[ee];for(var yt=_e.extractRehydrationInfo(Ce).queries,Mt=0,Wt=Object.entries(yt);Mt<Wt.length;Mt++){var jn,Gt=Wt[Mt],un=Gt[1];He(jn=Gt[0],un==null?void 0:un.endpointName,Xe,Nt.config)}}}},ln=I(Lo),Hr=function(J){var ee=J.reducerPath,he=J.context,_e=J.context.endpointDefinitions,me=J.mutationThunk,ut=J.api,ot=J.assertTagType,Ht=J.refetchQuery,ft=ut.internalActions.removeQueryResult,xt=(0,ln.isAnyOf)((0,ln.isFulfilled)(me),(0,ln.isRejectedWithValue)(me));function He(Ce,Xe){var jt=Xe.getState(),Et=jt[ee],Nt=ut.util.selectInvalidatedBy(jt,Ce);he.batch(function(){for(var qt,tn=0,en=Array.from(Nt.values());tn<en.length;tn++){var Ut=en[tn].queryCacheKey,Be=Et.queries[Ut],yt=(qt=Et.subscriptions[Ut])!=null?qt:{};Be&&(Object.keys(yt).length===0?Xe.dispatch(ft({queryCacheKey:Ut})):Be.status!==t.uninitialized&&Xe.dispatch(Ht(Be,Ut)))}})}return function(Ce,Xe){xt(Ce)&&He(ct(Ce,"invalidatesTags",_e,ot),Xe),ut.util.invalidateTags.match(Ce)&&He(pe(Ce.payload,void 0,void 0,void 0,void 0,ot),Xe)}},xr=function(J){var ee=J.reducerPath,he=J.queryThunk,_e=J.api,me=J.refetchQuery,ut=J.internalState,ot={};function Ht(Ce,Xe){var jt=Ce.queryCacheKey,Et=Xe.getState()[ee].queries[jt];if(Et&&Et.status!==t.uninitialized){var Nt=He(ut.currentSubscriptions[jt]);if(Number.isFinite(Nt)){var qt=ot[jt];qt!=null&&qt.timeout&&(clearTimeout(qt.timeout),qt.timeout=void 0);var tn=Date.now()+Nt,en=ot[jt]={nextPollTimestamp:tn,pollingInterval:Nt,timeout:setTimeout(function(){en.timeout=void 0,Xe.dispatch(me(Et,jt))},Nt)}}}}function ft(Ce,Xe){var jt=Ce.queryCacheKey,Et=Xe.getState()[ee].queries[jt];if(Et&&Et.status!==t.uninitialized){var Nt=He(ut.currentSubscriptions[jt]);if(Number.isFinite(Nt)){var qt=ot[jt],tn=Date.now()+Nt;(!qt||tn<qt.nextPollTimestamp)&&Ht({queryCacheKey:jt},Xe)}else xt(jt)}}function xt(Ce){var Xe=ot[Ce];Xe!=null&&Xe.timeout&&clearTimeout(Xe.timeout),delete ot[Ce]}function He(Ce){Ce===void 0&&(Ce={});var Xe=Number.POSITIVE_INFINITY;for(var jt in Ce)Ce[jt].pollingInterval&&(Xe=Math.min(Ce[jt].pollingInterval,Xe));return Xe}return function(Ce,Xe){(_e.internalActions.updateSubscriptionOptions.match(Ce)||_e.internalActions.unsubscribeQueryResult.match(Ce))&&ft(Ce.payload,Xe),(he.pending.match(Ce)||he.rejected.match(Ce)&&Ce.meta.condition)&&ft(Ce.meta.arg,Xe),(he.fulfilled.match(Ce)||he.rejected.match(Ce)&&!Ce.meta.condition)&&Ht(Ce.meta.arg,Xe),_e.util.resetApiState.match(Ce)&&function(){for(var jt=0,Et=Object.keys(ot);jt<Et.length;jt++)xt(Et[jt])}()}},Fn=I(Lo),Hn=new Error("Promise never resolved before cacheEntryRemoved."),Wn=function(J){var ee=J.api,he=J.reducerPath,_e=J.context,me=J.queryThunk,ut=J.mutationThunk,ot=(0,Fn.isAsyncThunkAction)(me),Ht=(0,Fn.isAsyncThunkAction)(ut),ft=(0,Fn.isFulfilled)(me,ut),xt={};function He(Ce,Xe,jt,Et,Nt){var qt=_e.endpointDefinitions[Ce],tn=qt==null?void 0:qt.onCacheEntryAdded;if(tn){var en={},Ut=new Promise(function(Gt){en.cacheEntryRemoved=Gt}),Be=Promise.race([new Promise(function(Gt){en.valueResolved=Gt}),Ut.then(function(){throw Hn})]);Be.catch(function(){}),xt[jt]=en;var yt=ee.endpoints[Ce].select(qt.type===U.query?Xe:jt),Mt=Et.dispatch(function(Gt,un,sn){return sn}),Wt=k(S({},Et),{getCacheEntry:function(){return yt(Et.getState())},requestId:Nt,extra:Mt,updateCachedData:qt.type===U.query?function(Gt){return Et.dispatch(ee.util.updateQueryData(Ce,Xe,Gt))}:void 0,cacheDataLoaded:Be,cacheEntryRemoved:Ut}),jn=tn(Xe,Wt);Promise.resolve(jn).catch(function(Gt){if(Gt!==Hn)throw Gt})}}return function(Ce,Xe,jt){var Et=function(yt){return ot(yt)?yt.meta.arg.queryCacheKey:Ht(yt)?yt.meta.requestId:ee.internalActions.removeQueryResult.match(yt)?yt.payload.queryCacheKey:ee.internalActions.removeMutationResult.match(yt)?Se(yt.payload):""}(Ce);if(me.pending.match(Ce)){var Nt=jt[he].queries[Et],qt=Xe.getState()[he].queries[Et];!Nt&&qt&&He(Ce.meta.arg.endpointName,Ce.meta.arg.originalArgs,Et,Xe,Ce.meta.requestId)}else if(ut.pending.match(Ce))(qt=Xe.getState()[he].mutations[Et])&&He(Ce.meta.arg.endpointName,Ce.meta.arg.originalArgs,Et,Xe,Ce.meta.requestId);else if(ft(Ce))(Be=xt[Et])!=null&&Be.valueResolved&&(Be.valueResolved({data:Ce.payload,meta:Ce.meta.baseQueryMeta}),delete Be.valueResolved);else if(ee.internalActions.removeQueryResult.match(Ce)||ee.internalActions.removeMutationResult.match(Ce))(Be=xt[Et])&&(delete xt[Et],Be.cacheEntryRemoved());else if(ee.util.resetApiState.match(Ce))for(var tn=0,en=Object.entries(xt);tn<en.length;tn++){var Ut=en[tn],Be=Ut[1];delete xt[Ut[0]],Be.cacheEntryRemoved()}}},Nr=I(Lo),Do=function(J){var ee=J.api,he=J.context,_e=J.queryThunk,me=J.mutationThunk,ut=(0,Nr.isPending)(_e,me),ot=(0,Nr.isRejected)(_e,me),Ht=(0,Nr.isFulfilled)(_e,me),ft={};return function(xt,He){var Ce,Xe,jt;if(ut(xt)){var Et=xt.meta,Nt=Et.requestId,qt=Et.arg,tn=qt.endpointName,en=qt.originalArgs,Ut=he.endpointDefinitions[tn],Be=Ut==null?void 0:Ut.onQueryStarted;if(Be){var yt={},Mt=new Promise(function(Jn,It){yt.resolve=Jn,yt.reject=It});Mt.catch(function(){}),ft[Nt]=yt;var Wt=ee.endpoints[tn].select(Ut.type===U.query?en:Nt),jn=He.dispatch(function(Jn,It,In){return In}),Gt=k(S({},He),{getCacheEntry:function(){return Wt(He.getState())},requestId:Nt,extra:jn,updateCachedData:Ut.type===U.query?function(Jn){return He.dispatch(ee.util.updateQueryData(tn,en,Jn))}:void 0,queryFulfilled:Mt});Be(en,Gt)}}else if(Ht(xt)){var un=xt.meta,sn=un.baseQueryMeta;(Ce=ft[Nt=un.requestId])==null||Ce.resolve({data:xt.payload,meta:sn}),delete ft[Nt]}else if(ot(xt)){var Or=xt.meta;sn=Or.baseQueryMeta,(jt=ft[Nt=Or.requestId])==null||jt.reject({error:(Xe=xt.payload)!=null?Xe:xt.error,isUnhandledError:!Or.rejectedWithValue,meta:sn}),delete ft[Nt]}}},Wr=function(J){var ee=J.api,he=J.context.apiUid;return function(_e,me){ee.util.resetApiState.match(_e)&&me.dispatch(ee.internalActions.middlewareRegistered(he))}},Vr=I(Su),ds=typeof queueMicrotask=="function"?queueMicrotask.bind(typeof window<"u"?window:typeof Al<"u"?Al:globalThis):function(J){return(zt||(zt=Promise.resolve())).then(J).catch(function(ee){return setTimeout(function(){throw ee},0)})};function $r(J){for(var ee=[],he=1;he<arguments.length;he++)ee[he-1]=arguments[he];Object.assign.apply(Object,o([J],ee))}var $s=I(Su),fs=Symbol(),da=function(){return{name:fs,init:function(J,ee,he){var _e=ee.baseQuery,me=ee.reducerPath,ut=ee.serializeQueryArgs,ot=ee.keepUnusedDataFor,Ht=ee.refetchOnMountOrArgChange,ft=ee.refetchOnFocus,xt=ee.refetchOnReconnect;(0,$s.enablePatches)();var He=function(It){return It};Object.assign(J,{reducerPath:me,endpoints:{},internalActions:{onOnline:fe,onOffline:ie,onFocus:Y,onFocusLost:ae},util:{}});var Ce=function(It){var In=this,Rn=It.reducerPath,Zn=It.baseQuery,mr=It.context.endpointDefinitions,Tn=It.serializeQueryArgs,Nn=It.api,dn=function(qe,Ot){return E(In,[qe,Ot],function(St,st){var wt,Bt,mt,rt,Oe,Ie,De,We,Ze,Dt,Rt,Ve,nn,xn=st.signal,hn=st.abort,gr=st.rejectWithValue,Xn=st.fulfillWithValue,gn=st.dispatch,Vn=st.getState,ao=st.extra;return r(this,function(fn){switch(fn.label){case 0:wt=mr[St.endpointName],fn.label=1;case 1:return fn.trys.push([1,8,,13]),Bt=kt,mt=void 0,rt={signal:xn,abort:hn,dispatch:gn,getState:Vn,extra:ao,endpoint:St.endpointName,type:St.type,forced:St.type==="query"?Sn(St,Vn()):void 0},(Oe=St.type==="query"?St[xe]:void 0)?(mt=Oe(),[3,6]):[3,2];case 2:return wt.query?[4,Zn(wt.query(St.originalArgs),rt,wt.extraOptions)]:[3,4];case 3:return mt=fn.sent(),wt.transformResponse&&(Bt=wt.transformResponse),[3,6];case 4:return[4,wt.queryFn(St.originalArgs,rt,wt.extraOptions,function($n){return Zn($n,rt,wt.extraOptions)})];case 5:mt=fn.sent(),fn.label=6;case 6:if(mt.error)throw new q(mt.error,mt.meta);return Ie=Xn,[4,Bt(mt.data,mt.meta,St.originalArgs)];case 7:return[2,Ie.apply(void 0,[fn.sent(),(Ve={fulfilledTimeStamp:Date.now(),baseQueryMeta:mt.meta},Ve[$e.SHOULD_AUTOBATCH]=!0,Ve)])];case 8:if(De=fn.sent(),!((We=De)instanceof q))return[3,12];Ze=kt,wt.query&&wt.transformErrorResponse&&(Ze=wt.transformErrorResponse),fn.label=9;case 9:return fn.trys.push([9,11,,12]),Dt=gr,[4,Ze(We.value,We.meta,St.originalArgs)];case 10:return[2,Dt.apply(void 0,[fn.sent(),(nn={baseQueryMeta:We.meta},nn[$e.SHOULD_AUTOBATCH]=!0,nn)])];case 11:return Rt=fn.sent(),We=Rt,[3,12];case 12:throw console.error(We),We;case 13:return[2]}})})};function Sn(qe,Ot){var St,st,wt,Bt,mt=(st=(St=Ot[Rn])==null?void 0:St.queries)==null?void 0:st[qe.queryCacheKey],rt=(wt=Ot[Rn])==null?void 0:wt.config.refetchOnMountOrArgChange,Oe=mt==null?void 0:mt.fulfilledTimeStamp,Ie=(Bt=qe.forceRefetch)!=null?Bt:qe.subscribe&&rt;return!!Ie&&(Ie===!0||(Number(new Date)-Number(Oe))/1e3>=Ie)}var En=(0,$e.createAsyncThunk)(Rn+"/executeQuery",dn,{getPendingMeta:function(){var qe;return(qe={startedTimeStamp:Date.now()})[$e.SHOULD_AUTOBATCH]=!0,qe},condition:function(qe,Ot){var St,st,wt,Bt=(0,Ot.getState)(),mt=(st=(St=Bt[Rn])==null?void 0:St.queries)==null?void 0:st[qe.queryCacheKey],rt=mt==null?void 0:mt.fulfilledTimeStamp,Oe=qe.originalArgs,Ie=mt==null?void 0:mt.originalArgs,De=mr[qe.endpointName];return!(!de(qe)&&((mt==null?void 0:mt.status)==="pending"||!Sn(qe,Bt)&&(!oe(De)||!((wt=De==null?void 0:De.forceRefetch)!=null&&wt.call(De,{currentArg:Oe,previousArg:Ie,endpointState:mt,state:Bt})))&&rt))},dispatchConditionRejection:!0}),bn=(0,$e.createAsyncThunk)(Rn+"/executeMutation",dn,{getPendingMeta:function(){var qe;return(qe={startedTimeStamp:Date.now()})[$e.SHOULD_AUTOBATCH]=!0,qe}});function yn(qe){return function(Ot){var St,st;return((st=(St=Ot==null?void 0:Ot.meta)==null?void 0:St.arg)==null?void 0:st.endpointName)===qe}}return{queryThunk:En,mutationThunk:bn,prefetch:function(qe,Ot,St){return function(st,wt){var Bt=function(De){return"force"in De}(St)&&St.force,mt=function(De){return"ifOlderThan"in De}(St)&&St.ifOlderThan,rt=function(De){return De===void 0&&(De=!0),Nn.endpoints[qe].initiate(Ot,{forceRefetch:De})},Oe=Nn.endpoints[qe].select(Ot)(wt());if(Bt)st(rt());else if(mt){var Ie=Oe==null?void 0:Oe.fulfilledTimeStamp;if(!Ie)return void st(rt());(Number(new Date)-Number(new Date(Ie)))/1e3>=mt&&st(rt())}else st(rt(!1))}},updateQueryData:function(qe,Ot,St){return function(st,wt){var Bt,mt,rt=Nn.endpoints[qe].select(Ot)(wt()),Oe={patches:[],inversePatches:[],undo:function(){return st(Nn.util.patchQueryData(qe,Ot,Oe.inversePatches))}};if(rt.status===t.uninitialized)return Oe;if("data"in rt)if((0,Ee.isDraftable)(rt.data)){var Ie=(0,Ee.produceWithPatches)(rt.data,St),De=Ie[2];(Bt=Oe.patches).push.apply(Bt,Ie[1]),(mt=Oe.inversePatches).push.apply(mt,De)}else{var We=St(rt.data);Oe.patches.push({op:"replace",path:[],value:We}),Oe.inversePatches.push({op:"replace",path:[],value:rt.data})}return st(Nn.util.patchQueryData(qe,Ot,Oe.patches)),Oe}},upsertQueryData:function(qe,Ot,St){return function(st){var wt;return st(Nn.endpoints[qe].initiate(Ot,((wt={subscribe:!1,forceRefetch:!0})[xe]=function(){return{data:St}},wt)))}},patchQueryData:function(qe,Ot,St){return function(st){st(Nn.internalActions.queryResultPatched({queryCacheKey:Tn({queryArgs:Ot,endpointDefinition:mr[qe],endpointName:qe}),patches:St}))}},buildMatchThunkActions:function(qe,Ot){return{matchPending:(0,Te.isAllOf)((0,Te.isPending)(qe),yn(Ot)),matchFulfilled:(0,Te.isAllOf)((0,Te.isFulfilled)(qe),yn(Ot)),matchRejected:(0,Te.isAllOf)((0,Te.isRejected)(qe),yn(Ot))}}}}({baseQuery:_e,reducerPath:me,context:he,api:J,serializeQueryArgs:ut}),Xe=Ce.queryThunk,jt=Ce.mutationThunk,Et=Ce.patchQueryData,Nt=Ce.updateQueryData,qt=Ce.upsertQueryData,tn=Ce.prefetch,en=Ce.buildMatchThunkActions,Ut=function(It){var In=It.reducerPath,Rn=It.queryThunk,Zn=It.mutationThunk,mr=It.context,Tn=mr.endpointDefinitions,Nn=mr.apiUid,dn=mr.extractRehydrationInfo,Sn=mr.hasRehydrationInfo,En=It.assertTagType,bn=It.config,yn=(0,ge.createAction)(In+"/resetApiState"),qe=(0,ge.createSlice)({name:In+"/queries",initialState:Pt,reducers:{removeQueryResult:{reducer:function(rt,Oe){delete rt[Oe.payload.queryCacheKey]},prepare:(0,ge.prepareAutoBatched)()},queryResultPatched:function(rt,Oe){var Ie=Oe.payload,De=Ie.patches;bt(rt,Ie.queryCacheKey,function(We){We.data=(0,vt.applyPatches)(We.data,De.concat())})}},extraReducers:function(rt){rt.addCase(Rn.pending,function(Oe,Ie){var De,We=Ie.meta,Ze=Ie.meta.arg,Dt=de(Ze);(Ze.subscribe||Dt)&&(Oe[De=Ze.queryCacheKey]!=null||(Oe[De]={status:t.uninitialized,endpointName:Ze.endpointName})),bt(Oe,Ze.queryCacheKey,function(Rt){Rt.status=t.pending,Rt.requestId=Dt&&Rt.requestId?Rt.requestId:We.requestId,Ze.originalArgs!==void 0&&(Rt.originalArgs=Ze.originalArgs),Rt.startedTimeStamp=We.startedTimeStamp})}).addCase(Rn.fulfilled,function(Oe,Ie){var De=Ie.meta,We=Ie.payload;bt(Oe,De.arg.queryCacheKey,function(Ze){var Dt;if(Ze.requestId===De.requestId||de(De.arg)){var Rt=Tn[De.arg.endpointName].merge;if(Ze.status=t.fulfilled,Rt)if(Ze.data!==void 0){var Ve=De.fulfilledTimeStamp,nn=De.arg,xn=De.baseQueryMeta,hn=De.requestId,gr=(0,ge.createNextState)(Ze.data,function(Xn){return Rt(Xn,We,{arg:nn.originalArgs,baseQueryMeta:xn,fulfilledTimeStamp:Ve,requestId:hn})});Ze.data=gr}else Ze.data=We;else Ze.data=(Dt=Tn[De.arg.endpointName].structuralSharing)==null||Dt?M((0,on.isDraft)(Ze.data)?(0,vt.original)(Ze.data):Ze.data,We):We;delete Ze.error,Ze.fulfilledTimeStamp=De.fulfilledTimeStamp}})}).addCase(Rn.rejected,function(Oe,Ie){var De=Ie.meta,We=De.condition,Ze=De.requestId,Dt=Ie.error,Rt=Ie.payload;bt(Oe,De.arg.queryCacheKey,function(Ve){if(!We){if(Ve.requestId!==Ze)return;Ve.status=t.rejected,Ve.error=Rt??Dt}})}).addMatcher(Sn,function(Oe,Ie){for(var De=dn(Ie).queries,We=0,Ze=Object.entries(De);We<Ze.length;We++){var Dt=Ze[We],Rt=Dt[1];(Rt==null?void 0:Rt.status)!==t.fulfilled&&(Rt==null?void 0:Rt.status)!==t.rejected||(Oe[Dt[0]]=Rt)}})}}),Ot=(0,ge.createSlice)({name:In+"/mutations",initialState:Pt,reducers:{removeMutationResult:{reducer:function(rt,Oe){var Ie=Se(Oe.payload);Ie in rt&&delete rt[Ie]},prepare:(0,ge.prepareAutoBatched)()}},extraReducers:function(rt){rt.addCase(Zn.pending,function(Oe,Ie){var De=Ie.meta,We=De.requestId,Ze=De.arg,Dt=De.startedTimeStamp;Ze.track&&(Oe[Se(Ie.meta)]={requestId:We,status:t.pending,endpointName:Ze.endpointName,startedTimeStamp:Dt})}).addCase(Zn.fulfilled,function(Oe,Ie){var De=Ie.payload,We=Ie.meta;We.arg.track&&Me(Oe,We,function(Ze){Ze.requestId===We.requestId&&(Ze.status=t.fulfilled,Ze.data=De,Ze.fulfilledTimeStamp=We.fulfilledTimeStamp)})}).addCase(Zn.rejected,function(Oe,Ie){var De=Ie.payload,We=Ie.error,Ze=Ie.meta;Ze.arg.track&&Me(Oe,Ze,function(Dt){Dt.requestId===Ze.requestId&&(Dt.status=t.rejected,Dt.error=De??We)})}).addMatcher(Sn,function(Oe,Ie){for(var De=dn(Ie).mutations,We=0,Ze=Object.entries(De);We<Ze.length;We++){var Dt=Ze[We],Rt=Dt[0],Ve=Dt[1];(Ve==null?void 0:Ve.status)!==t.fulfilled&&(Ve==null?void 0:Ve.status)!==t.rejected||Rt===(Ve==null?void 0:Ve.requestId)||(Oe[Rt]=Ve)}})}}),St=(0,ge.createSlice)({name:In+"/invalidation",initialState:Pt,reducers:{},extraReducers:function(rt){rt.addCase(qe.actions.removeQueryResult,function(Oe,Ie){for(var De=Ie.payload.queryCacheKey,We=0,Ze=Object.values(Oe);We<Ze.length;We++)for(var Dt=0,Rt=Object.values(Ze[We]);Dt<Rt.length;Dt++){var Ve=Rt[Dt],nn=Ve.indexOf(De);nn!==-1&&Ve.splice(nn,1)}}).addMatcher(Sn,function(Oe,Ie){for(var De,We,Ze,Dt,Rt=dn(Ie).provided,Ve=0,nn=Object.entries(Rt);Ve<nn.length;Ve++)for(var xn=nn[Ve],hn=xn[0],gr=0,Xn=Object.entries(xn[1]);gr<Xn.length;gr++)for(var gn=Xn[gr],Vn=gn[0],ao=gn[1],fn=(Dt=(We=(De=Oe[hn])!=null?De:Oe[hn]={})[Ze=Vn||"__internal_without_id"])!=null?Dt:We[Ze]=[],$n=0,Ur=ao;$n<Ur.length;$n++){var Rr=Ur[$n];fn.includes(Rr)||fn.push(Rr)}}).addMatcher((0,ge.isAnyOf)((0,ge.isFulfilled)(Rn),(0,ge.isRejectedWithValue)(Rn)),function(Oe,Ie){for(var De,We,Ze,Dt,Rt=ct(Ie,"providesTags",Tn,En),Ve=Ie.meta.arg.queryCacheKey,nn=0,xn=Object.values(Oe);nn<xn.length;nn++)for(var hn=0,gr=Object.values(xn[nn]);hn<gr.length;hn++){var Xn=gr[hn],gn=Xn.indexOf(Ve);gn!==-1&&Xn.splice(gn,1)}for(var Vn=0,ao=Rt;Vn<ao.length;Vn++){var fn=ao[Vn],$n=fn.type,Ur=fn.id,Rr=(Dt=(We=(De=Oe[$n])!=null?De:Oe[$n]={})[Ze=Ur||"__internal_without_id"])!=null?Dt:We[Ze]=[];Rr.includes(Ve)||Rr.push(Ve)}})}}),st=(0,ge.createSlice)({name:In+"/subscriptions",initialState:Pt,reducers:{updateSubscriptionOptions:function(rt,Oe){},unsubscribeQueryResult:function(rt,Oe){},internal_probeSubscription:function(rt,Oe){}}}),wt=(0,ge.createSlice)({name:In+"/internalSubscriptions",initialState:Pt,reducers:{subscriptionsUpdated:{reducer:function(rt,Oe){return(0,vt.applyPatches)(rt,Oe.payload)},prepare:(0,ge.prepareAutoBatched)()}}}),Bt=(0,ge.createSlice)({name:In+"/config",initialState:S({online:typeof navigator>"u"||navigator.onLine===void 0||navigator.onLine,focused:typeof document>"u"||document.visibilityState!=="hidden",middlewareRegistered:!1},bn),reducers:{middlewareRegistered:function(rt,Oe){rt.middlewareRegistered=rt.middlewareRegistered!=="conflict"&&Nn===Oe.payload||"conflict"}},extraReducers:function(rt){rt.addCase(fe,function(Oe){Oe.online=!0}).addCase(ie,function(Oe){Oe.online=!1}).addCase(Y,function(Oe){Oe.focused=!0}).addCase(ae,function(Oe){Oe.focused=!1}).addMatcher(Sn,function(Oe){return S({},Oe)})}}),mt=(0,ge.combineReducers)({queries:qe.reducer,mutations:Ot.reducer,provided:St.reducer,subscriptions:wt.reducer,config:Bt.reducer});return{reducer:function(rt,Oe){return mt(yn.match(Oe)?void 0:rt,Oe)},actions:k(S(S(S(S(S({},Bt.actions),qe.actions),st.actions),wt.actions),Ot.actions),{unsubscribeMutationResult:Ot.actions.removeMutationResult,resetApiState:yn})}}({context:he,queryThunk:Xe,mutationThunk:jt,reducerPath:me,assertTagType:He,config:{refetchOnFocus:ft,refetchOnReconnect:xt,refetchOnMountOrArgChange:Ht,keepUnusedDataFor:ot,reducerPath:me}}),Be=Ut.reducer,yt=Ut.actions;$r(J.util,{patchQueryData:Et,updateQueryData:Nt,upsertQueryData:qt,prefetch:tn,resetApiState:yt.resetApiState}),$r(J.internalActions,yt);var Mt=function(It){var In=It.reducerPath,Rn=It.queryThunk,Zn=It.api,mr=It.context,Tn=mr.apiUid,Nn={invalidateTags:(0,cr.createAction)(In+"/invalidateTags")},dn=[Wr,pn,Hr,xr,Wn,Do];return{middleware:function(En){var bn=!1,yn=k(S({},It),{internalState:{currentSubscriptions:{}},refetchQuery:Sn}),qe=dn.map(function(st){return st(yn)}),Ot=function(st){var wt=st.api,Bt=st.queryThunk,mt=st.internalState,rt=wt.reducerPath+"/subscriptions",Oe=null,Ie=!1,De=wt.internalActions,We=De.updateSubscriptionOptions,Ze=De.unsubscribeQueryResult;return function(Dt,Rt){var Ve,nn;if(Oe||(Oe=JSON.parse(JSON.stringify(mt.currentSubscriptions))),wt.util.resetApiState.match(Dt))return Oe=mt.currentSubscriptions={},[!0,!1];if(wt.internalActions.internal_probeSubscription.match(Dt)){var xn=Dt.payload;return[!1,!!((Ve=mt.currentSubscriptions[xn.queryCacheKey])!=null&&Ve[xn.requestId])]}var hn=function(gn,Vn){var ao,fn,$n,Ur,Rr,Ga,ef,Ao,fa;if(We.match(Vn)){var zs=Vn.payload,pa=zs.queryCacheKey,io=zs.requestId;return(ao=gn==null?void 0:gn[pa])!=null&&ao[io]&&(gn[pa][io]=zs.options),!0}if(Ze.match(Vn)){var lo=Vn.payload;return io=lo.requestId,gn[pa=lo.queryCacheKey]&&delete gn[pa][io],!0}if(wt.internalActions.removeQueryResult.match(Vn))return delete gn[Vn.payload.queryCacheKey],!0;if(Bt.pending.match(Vn)){var co=Vn.meta;if(io=co.requestId,(Yr=co.arg).subscribe)return(Wo=($n=gn[fn=Yr.queryCacheKey])!=null?$n:gn[fn]={})[io]=(Rr=(Ur=Yr.subscriptionOptions)!=null?Ur:Wo[io])!=null?Rr:{},!0}if(Bt.rejected.match(Vn)){var Wo,To=Vn.meta,Yr=To.arg;if(io=To.requestId,To.condition&&Yr.subscribe)return(Wo=(ef=gn[Ga=Yr.queryCacheKey])!=null?ef:gn[Ga]={})[io]=(fa=(Ao=Yr.subscriptionOptions)!=null?Ao:Wo[io])!=null?fa:{},!0}return!1}(mt.currentSubscriptions,Dt);if(hn){Ie||(ds(function(){var gn=JSON.parse(JSON.stringify(mt.currentSubscriptions)),Vn=(0,Vr.produceWithPatches)(Oe,function(){return gn});Rt.next(wt.internalActions.subscriptionsUpdated(Vn[1])),Oe=gn,Ie=!1}),Ie=!0);var gr=!!((nn=Dt.type)!=null&&nn.startsWith(rt)),Xn=Bt.rejected.match(Dt)&&Dt.meta.condition&&!!Dt.meta.arg.subscribe;return[!gr&&!Xn,!1]}return[!0,!1]}}(yn),St=function(st){var wt=st.reducerPath,Bt=st.context,mt=st.refetchQuery,rt=st.internalState,Oe=st.api.internalActions.removeQueryResult;function Ie(De,We){var Ze=De.getState()[wt],Dt=Ze.queries,Rt=rt.currentSubscriptions;Bt.batch(function(){for(var Ve=0,nn=Object.keys(Rt);Ve<nn.length;Ve++){var xn=nn[Ve],hn=Dt[xn],gr=Rt[xn];gr&&hn&&(Object.values(gr).some(function(Xn){return Xn[We]===!0})||Object.values(gr).every(function(Xn){return Xn[We]===void 0})&&Ze.config[We])&&(Object.keys(gr).length===0?De.dispatch(Oe({queryCacheKey:xn})):hn.status!==t.uninitialized&&De.dispatch(mt(hn,xn)))}})}return function(De,We){Y.match(De)&&Ie(We,"refetchOnFocus"),fe.match(De)&&Ie(We,"refetchOnReconnect")}}(yn);return function(st){return function(wt){bn||(bn=!0,En.dispatch(Zn.internalActions.middlewareRegistered(Tn)));var Bt,mt=k(S({},En),{next:st}),rt=En.getState(),Oe=Ot(wt,mt,rt),Ie=Oe[1];if(Bt=Oe[0]?st(wt):Ie,En.getState()[In]&&(St(wt,mt,rt),function(Ze){return!!Ze&&typeof Ze.type=="string"&&Ze.type.startsWith(In+"/")}(wt)||mr.hasRehydrationInfo(wt)))for(var De=0,We=qe;De<We.length;De++)(0,We[De])(wt,mt,rt);return Bt}}},actions:Nn};function Sn(En,bn,yn){return yn===void 0&&(yn={}),Rn(S({type:"query",endpointName:En.endpointName,originalArgs:En.originalArgs,subscribe:!1,forceRefetch:!0,queryCacheKey:bn},yn))}}({reducerPath:me,context:he,queryThunk:Xe,mutationThunk:jt,api:J,assertTagType:He}),Wt=Mt.middleware;$r(J.util,Mt.actions),$r(J,{reducer:Be,middleware:Wt});var jn=function(It){var In=It.serializeQueryArgs,Rn=It.reducerPath,Zn=function(dn){return $t},mr=function(dn){return Lt};return{buildQuerySelector:function(dn,Sn){return function(En){var bn=In({queryArgs:En,endpointDefinition:Sn,endpointName:dn});return(0,re.createSelector)(En===Tt?Zn:function(yn){var qe,Ot,St;return(St=(Ot=(qe=Nn(yn))==null?void 0:qe.queries)==null?void 0:Ot[bn])!=null?St:$t},Tn)}},buildMutationSelector:function(){return function(dn){var Sn,En;return En=typeof dn=="object"?(Sn=Se(dn))!=null?Sn:Tt:dn,(0,re.createSelector)(En===Tt?mr:function(bn){var yn,qe,Ot;return(Ot=(qe=(yn=Nn(bn))==null?void 0:yn.mutations)==null?void 0:qe[En])!=null?Ot:Lt},Tn)}},selectInvalidatedBy:function(dn,Sn){for(var En,bn=dn[Rn],yn=new Set,qe=0,Ot=Sn.map(le);qe<Ot.length;qe++){var St=Ot[qe],st=bn.provided[St.type];if(st)for(var wt=0,Bt=(En=St.id!==void 0?st[St.id]:O(Object.values(st)))!=null?En:[];wt<Bt.length;wt++)yn.add(Bt[wt])}return O(Array.from(yn.values()).map(function(mt){var rt=bn.queries[mt];return rt?[{queryCacheKey:mt,endpointName:rt.endpointName,originalArgs:rt.originalArgs}]:[]}))}};function Tn(dn){return S(S({},dn),{status:Sn=dn.status,isUninitialized:Sn===t.uninitialized,isLoading:Sn===t.pending,isSuccess:Sn===t.fulfilled,isError:Sn===t.rejected});var Sn}function Nn(dn){return dn[Rn]}}({serializeQueryArgs:ut,reducerPath:me}),Gt=jn.buildQuerySelector,un=jn.buildMutationSelector;$r(J.util,{selectInvalidatedBy:jn.selectInvalidatedBy});var sn=function(It){var In=It.serializeQueryArgs,Rn=It.queryThunk,Zn=It.mutationThunk,mr=It.api,Tn=It.context,Nn=new Map,dn=new Map,Sn=mr.internalActions,En=Sn.unsubscribeQueryResult,bn=Sn.removeMutationResult,yn=Sn.updateSubscriptionOptions;return{buildInitiateQuery:function(qe,Ot){var St=function(st,wt){var Bt=wt===void 0?{}:wt,mt=Bt.subscribe,rt=mt===void 0||mt,Oe=Bt.forceRefetch,Ie=Bt.subscriptionOptions,De=Bt[xe];return function(We,Ze){var Dt,Rt,Ve=In({queryArgs:st,endpointDefinition:Ot,endpointName:qe}),nn=Rn(((Dt={type:"query",subscribe:rt,forceRefetch:Oe,subscriptionOptions:Ie,endpointName:qe,originalArgs:st,queryCacheKey:Ve})[xe]=De,Dt)),xn=mr.endpoints[qe].select(st),hn=We(nn),gr=xn(Ze()),Xn=hn.requestId,gn=hn.abort,Vn=gr.requestId!==Xn,ao=(Rt=Nn.get(We))==null?void 0:Rt[Ve],fn=function(){return xn(Ze())},$n=Object.assign(De?hn.then(fn):Vn&&!ao?Promise.resolve(gr):Promise.all([ao,hn]).then(fn),{arg:st,requestId:Xn,subscriptionOptions:Ie,queryCacheKey:Ve,abort:gn,unwrap:function(){return E(this,null,function(){var Rr;return r(this,function(Ga){switch(Ga.label){case 0:return[4,$n];case 1:if((Rr=Ga.sent()).isError)throw Rr.error;return[2,Rr.data]}})})},refetch:function(){return We(St(st,{subscribe:!1,forceRefetch:!0}))},unsubscribe:function(){rt&&We(En({queryCacheKey:Ve,requestId:Xn}))},updateSubscriptionOptions:function(Rr){$n.subscriptionOptions=Rr,We(yn({endpointName:qe,requestId:Xn,queryCacheKey:Ve,options:Rr}))}});if(!ao&&!Vn&&!De){var Ur=Nn.get(We)||{};Ur[Ve]=$n,Nn.set(We,Ur),$n.then(function(){delete Ur[Ve],Object.keys(Ur).length||Nn.delete(We)})}return $n}};return St},buildInitiateMutation:function(qe){return function(Ot,St){var st=St===void 0?{}:St,wt=st.track,Bt=wt===void 0||wt,mt=st.fixedCacheKey;return function(rt,Oe){var Ie=Zn({type:"mutation",endpointName:qe,originalArgs:Ot,track:Bt,fixedCacheKey:mt}),De=rt(Ie),We=De.requestId,Ze=De.abort,Dt=De.unwrap,Rt=De.unwrap().then(function(hn){return{data:hn}}).catch(function(hn){return{error:hn}}),Ve=function(){rt(bn({requestId:We,fixedCacheKey:mt}))},nn=Object.assign(Rt,{arg:De.arg,requestId:We,abort:Ze,unwrap:Dt,unsubscribe:Ve,reset:Ve}),xn=dn.get(rt)||{};return dn.set(rt,xn),xn[We]=nn,nn.then(function(){delete xn[We],Object.keys(xn).length||dn.delete(rt)}),mt&&(xn[mt]=nn,nn.then(function(){xn[mt]===nn&&(delete xn[mt],Object.keys(xn).length||dn.delete(rt))})),nn}}},getRunningQueryThunk:function(qe,Ot){return function(St){var st,wt=In({queryArgs:Ot,endpointDefinition:Tn.endpointDefinitions[qe],endpointName:qe});return(st=Nn.get(St))==null?void 0:st[wt]}},getRunningMutationThunk:function(qe,Ot){return function(St){var st;return(st=dn.get(St))==null?void 0:st[Ot]}},getRunningQueriesThunk:function(){return function(qe){return Object.values(Nn.get(qe)||{}).filter(ke)}},getRunningMutationsThunk:function(){return function(qe){return Object.values(dn.get(qe)||{}).filter(ke)}},getRunningOperationPromises:function(){var qe=function(Ot){return Array.from(Ot.values()).flatMap(function(St){return St?Object.values(St):[]})};return o(o([],qe(Nn)),qe(dn)).filter(ke)},removalWarning:function(){throw new Error(`This method had to be removed due to a conceptual bug in RTK.
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u.flags&256?(u.flags&=-257,x=Bg(Error(a(422))),hf(l,u,N,x)):u.memoizedState!==null?(u.child=l.child,u.flags|=128,null):(j=x.fallback,C=u.mode,x=Af({mode:"visible",children:x.children},C,0,null),j=Fi(j,C,N,null),j.flags|=2,x.return=u,j.return=u,x.sibling=j,u.child=x,u.mode&1&&jl(u,l.child,null,N),u.child.memoizedState=Ug(N),u.memoizedState=Vg,j);if(!(u.mode&1))return hf(l,u,N,null);if($s(C))return x=fs(C).digest,j=Error(a(419)),x=Bg(j,x,void 0),hf(l,u,N,x);if(g=(N&l.childLanes)!==0,bo||g){if(x=zr,x!==null){switch(N&-N){case 4:C=2;break;case 16:C=8;break;case 64:case 128:case 256:case 512:case 1024:case 2048:case 4096:case 8192:case 16384:case 32768:case 65536:case 131072:case 262144:case 524288:case 1048576:case 2097152:case 4194304:case 8388608:case 16777216:case 33554432:case 67108864:C=32;break;case 536870912:C=268435456;break;default:C=0}C=C&(x.suspendedLanes|N)?0:C,C!==0&&C!==j.retryLane&&(j.retryLane=C,Bs(l,C),Ko(x,l,C,-1))}return f0(),x=Bg(Error(a(421))),hf(l,u,N,x)}return $r(C)?(u.flags|=128,u.child=l.child,u=rR.bind(null,l),da(C,u),null):(l=j.treeContext,ke&&(Vo=he(C),No=u,er=!0,ps=null,Qc=!1,l!==null&&(lo[co++]=To,lo[co++]=Yr,lo[co++]=Wo,To=l.id,Yr=l.overflow,Wo=u)),u=Gg(u,x.children),u.flags|=4096,u)}function h2(l,u,g){l.lanes|=u;var x=l.alternate;x!==null&&(x.lanes|=u),Cg(l.return,u,g)}function qg(l,u,g,x,C){var j=l.memoizedState;j===null?l.memoizedState={isBackwards:u,rendering:null,renderingStartTime:0,last:x,tail:g,tailMode:C}:(j.isBackwards=u,j.rendering=null,j.renderingStartTime=0,j.last=x,j.tail=g,j.tailMode=C)}function m2(l,u,g){var x=u.pendingProps,C=x.revealOrder,j=x.tail;if(uo(l,u,x.children,g),x=cr.current,x&2)x=x&1|2,u.flags|=128;else{if(l!==null&&l.flags&128)e:for(l=u.child;l!==null;){if(l.tag===13)l.memoizedState!==null&&h2(l,g,u);else if(l.tag===19)h2(l,g,u);else if(l.child!==null){l.child.return=l,l=l.child;continue}if(l===u)break e;for(;l.sibling===null;){if(l.return===null||l.return===u)break e;l=l.return}l.sibling.return=l.return,l=l.sibling}x&=1}if(Wt(cr,x),!(u.mode&1))u.memoizedState=null;else switch(C){case"forwards":for(g=u.child,C=null;g!==null;)l=g.alternate,l!==null&&lf(l)===null&&(C=g),g=g.sibling;g=C,g===null?(C=u.child,u.child=null):(C=g.sibling,g.sibling=null),qg(u,!1,C,g,j);break;case"backwards":for(g=null,C=u.child,u.child=null;C!==null;){if(l=C.alternate,l!==null&&lf(l)===null){u.child=C;break}l=C.sibling,C.sibling=g,g=C,C=l}qg(u,!0,g,null,j);break;case"together":qg(u,!1,null,null,void 0);break;default:u.memoizedState=null}return u.child}function mf(l,u){!(u.mode&1)&&l!==null&&(l.alternate=null,u.alternate=null,u.flags|=2)}function ma(l,u,g){if(l!==null&&(u.dependencies=l.dependencies),$i|=u.lanes,!(g&u.childLanes))return null;if(l!==null&&u.child!==l.child)throw Error(a(153));if(u.child!==null){for(l=u.child,g=Ja(l,l.pendingProps),u.child=g,g.return=u;l.sibling!==null;)l=l.sibling,g=g.sibling=Ja(l,l.pendingProps),g.return=u;g.sibling=null}return u.child}function U8(l,u,g){switch(u.tag){case 3:d2(u),kl();break;case 5:Mx(u);break;case 1:Jn(u.type)&&Zn(u);break;case 4:Ig(u,u.stateNode.containerInfo);break;case 10:xx(u,u.type._context,u.memoizedProps.value);break;case 13:var x=u.memoizedState;if(x!==null)return x.dehydrated!==null?(Wt(cr,cr.current&1),u.flags|=128,null):g&u.child.childLanes?p2(l,u,g):(Wt(cr,cr.current&1),l=ma(l,u,g),l!==null?l.sibling:null);Wt(cr,cr.current&1);break;case 19:if(x=(g&u.childLanes)!==0,l.flags&128){if(x)return m2(l,u,g);u.flags|=128}var C=u.memoizedState;if(C!==null&&(C.rendering=null,C.tail=null,C.lastEffect=null),Wt(cr,cr.current),x)break;return null;case 22:case 23:return u.lanes=0,l2(l,u,g)}return ma(l,u,g)}function Ws(l){l.flags|=4}function g2(l,u){if(l!==null&&l.child===u.child)return!0;if(u.flags&16)return!1;for(l=u.child;l!==null;){if(l.flags&12854||l.subtreeFlags&12854)return!1;l=l.sibling}return!0}var su,au,gf,vf;if(le)su=function(l,u){for(var g=u.child;g!==null;){if(g.tag===5||g.tag===6)fe(l,g.stateNode);else if(g.tag!==4&&g.child!==null){g.child.return=g,g=g.child;continue}if(g===u)break;for(;g.sibling===null;){if(g.return===null||g.return===u)return;g=g.return}g.sibling.return=g.return,g=g.sibling}},au=function(){},gf=function(l,u,g,x,C){if(l=l.memoizedProps,l!==x){var j=u.stateNode,N=Fs(Go.current);g=X(j,g,l,x,C,N),(u.updateQueue=g)&&Ws(u)}},vf=function(l,u,g,x){g!==x&&Ws(u)};else if(ge){su=function(l,u,g,x){for(var C=u.child;C!==null;){if(C.tag===5){var j=C.stateNode;g&&x&&(j=Nr(j,C.type,C.memoizedProps,C)),fe(l,j)}else if(C.tag===6)j=C.stateNode,g&&x&&(j=Do(j,C.memoizedProps,C)),fe(l,j);else if(C.tag!==4){if(C.tag===22&&C.memoizedState!==null)j=C.child,j!==null&&(j.return=C),su(l,C,!0,!0);else if(C.child!==null){C.child.return=C,C=C.child;continue}}if(C===u)break;for(;C.sibling===null;){if(C.return===null||C.return===u)return;C=C.return}C.sibling.return=C.return,C=C.sibling}};var v2=function(l,u,g,x){for(var C=u.child;C!==null;){if(C.tag===5){var j=C.stateNode;g&&x&&(j=Nr(j,C.type,C.memoizedProps,C)),Fn(l,j)}else if(C.tag===6)j=C.stateNode,g&&x&&(j=Do(j,C.memoizedProps,C)),Fn(l,j);else if(C.tag!==4){if(C.tag===22&&C.memoizedState!==null)j=C.child,j!==null&&(j.return=C),v2(l,C,!0,!0);else if(C.child!==null){C.child.return=C,C=C.child;continue}}if(C===u)break;for(;C.sibling===null;){if(C.return===null||C.return===u)return;C=C.return}C.sibling.return=C.return,C=C.sibling}};au=function(l,u){var g=u.stateNode;if(!g2(l,u)){l=g.containerInfo;var x=xr(l);v2(x,u,!1,!1),g.pendingChildren=x,Ws(u),Hn(l,x)}},gf=function(l,u,g,x,C){var j=l.stateNode,N=l.memoizedProps;if((l=g2(l,u))&&N===x)u.stateNode=j;else{var Z=u.stateNode,ue=Fs(Go.current),Ne=null;N!==x&&(Ne=X(Z,g,N,x,C,ue)),l&&Ne===null?u.stateNode=j:(j=Hr(j,Ne,g,N,x,u,l,Z),ie(j,g,x,C,ue)&&Ws(u),u.stateNode=j,l?Ws(u):su(j,u,!1,!1))}},vf=function(l,u,g,x){g!==x?(l=Fs(Il.current),g=Fs(Go.current),u.stateNode=U(x,l,g,u),Ws(u)):u.stateNode=l.stateNode}}else au=function(){},gf=function(){},vf=function(){};function iu(l,u){if(!er)switch(l.tailMode){case"hidden":u=l.tail;for(var g=null;u!==null;)u.alternate!==null&&(g=u),u=u.sibling;g===null?l.tail=null:g.sibling=null;break;case"collapsed":g=l.tail;for(var x=null;g!==null;)g.alternate!==null&&(x=g),g=g.sibling;x===null?u||l.tail===null?l.tail=null:l.tail.sibling=null:x.sibling=null}}function Jr(l){var u=l.alternate!==null&&l.alternate.child===l.child,g=0,x=0;if(u)for(var C=l.child;C!==null;)g|=C.lanes|C.childLanes,x|=C.subtreeFlags&14680064,x|=C.flags&14680064,C.return=l,C=C.sibling;else for(C=l.child;C!==null;)g|=C.lanes|C.childLanes,x|=C.subtreeFlags,x|=C.flags,C.return=l,C=C.sibling;return l.subtreeFlags|=x,l.childLanes=g,u}function G8(l,u,g){var x=u.pendingProps;switch(gg(u),u.tag){case 2:case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:return Jr(u),null;case 1:return Jn(u.type)&&It(),Jr(u),null;case 3:return g=u.stateNode,El(),Mt(un),Mt(Gt),Rg(),g.pendingContext&&(g.context=g.pendingContext,g.pendingContext=null),(l===null||l.child===null)&&(Zd(u)?Ws(u):l===null||l.memoizedState.isDehydrated&&!(u.flags&256)||(u.flags|=1024,ps!==null&&(u0(ps),ps=null))),au(l,u),Jr(u),null;case 5:Eg(u),g=Fs(Il.current);var C=u.type;if(l!==null&&u.stateNode!=null)gf(l,u,C,x,g),l.ref!==u.ref&&(u.flags|=512,u.flags|=2097152);else{if(!x){if(u.stateNode===null)throw Error(a(166));return Jr(u),null}if(l=Fs(Go.current),Zd(u)){if(!ke)throw Error(a(175));l=_e(u.stateNode,u.type,u.memoizedProps,g,l,u,!Qc),u.updateQueue=l,l!==null&&Ws(u)}else{var j=ae(C,x,g,l,u);su(j,u,!1,!1),u.stateNode=j,ie(j,C,x,g,l)&&Ws(u)}u.ref!==null&&(u.flags|=512,u.flags|=2097152)}return Jr(u),null;case 6:if(l&&u.stateNode!=null)vf(l,u,l.memoizedProps,x);else{if(typeof x!="string"&&u.stateNode===null)throw Error(a(166));if(l=Fs(Il.current),g=Fs(Go.current),Zd(u)){if(!ke)throw Error(a(176));if(l=u.stateNode,g=u.memoizedProps,(x=me(l,g,u,!Qc))&&(C=No,C!==null))switch(C.tag){case 3:Xe(C.stateNode.containerInfo,l,g,(C.mode&1)!==0);break;case 5:jt(C.type,C.memoizedProps,C.stateNode,l,g,(C.mode&1)!==0)}x&&Ws(u)}else u.stateNode=U(x,l,g,u)}return Jr(u),null;case 13:if(Mt(cr),x=u.memoizedState,l===null||l.memoizedState!==null&&l.memoizedState.dehydrated!==null){if(er&&Vo!==null&&u.mode&1&&!(u.flags&128))yx(),kl(),u.flags|=98560,C=!1;else if(C=Zd(u),x!==null&&x.dehydrated!==null){if(l===null){if(!C)throw Error(a(318));if(!ke)throw Error(a(344));if(C=u.memoizedState,C=C!==null?C.dehydrated:null,!C)throw Error(a(317));ut(C,u)}else kl(),!(u.flags&128)&&(u.memoizedState=null),u.flags|=4;Jr(u),C=!1}else ps!==null&&(u0(ps),ps=null),C=!0;if(!C)return u.flags&65536?u:null}return u.flags&128?(u.lanes=g,u):(g=x!==null,g!==(l!==null&&l.memoizedState!==null)&&g&&(u.child.flags|=8192,u.mode&1&&(l===null||cr.current&1?Dr===0&&(Dr=3):f0())),u.updateQueue!==null&&(u.flags|=4),Jr(u),null);case 4:return El(),au(l,u),l===null&&de(u.stateNode.containerInfo),Jr(u),null;case 10:return Sg(u.type._context),Jr(u),null;case 17:return Jn(u.type)&&It(),Jr(u),null;case 19:if(Mt(cr),C=u.memoizedState,C===null)return Jr(u),null;if(x=(u.flags&128)!==0,j=C.rendering,j===null)if(x)iu(C,!1);else{if(Dr!==0||l!==null&&l.flags&128)for(l=u.child;l!==null;){if(j=lf(l),j!==null){for(u.flags|=128,iu(C,!1),l=j.updateQueue,l!==null&&(u.updateQueue=l,u.flags|=4),u.subtreeFlags=0,l=g,g=u.child;g!==null;)x=g,C=l,x.flags&=14680066,j=x.alternate,j===null?(x.childLanes=0,x.lanes=C,x.child=null,x.subtreeFlags=0,x.memoizedProps=null,x.memoizedState=null,x.updateQueue=null,x.dependencies=null,x.stateNode=null):(x.childLanes=j.childLanes,x.lanes=j.lanes,x.child=j.child,x.subtreeFlags=0,x.deletions=null,x.memoizedProps=j.memoizedProps,x.memoizedState=j.memoizedState,x.updateQueue=j.updateQueue,x.type=j.type,C=j.dependencies,x.dependencies=C===null?null:{lanes:C.lanes,firstContext:C.firstContext}),g=g.sibling;return Wt(cr,cr.current&1|2),u.child}l=l.sibling}C.tail!==null&&Ve()>a0&&(u.flags|=128,x=!0,iu(C,!1),u.lanes=4194304)}else{if(!x)if(l=lf(j),l!==null){if(u.flags|=128,x=!0,l=l.updateQueue,l!==null&&(u.updateQueue=l,u.flags|=4),iu(C,!0),C.tail===null&&C.tailMode==="hidden"&&!j.alternate&&!er)return Jr(u),null}else 2*Ve()-C.renderingStartTime>a0&&g!==1073741824&&(u.flags|=128,x=!0,iu(C,!1),u.lanes=4194304);C.isBackwards?(j.sibling=u.child,u.child=j):(l=C.last,l!==null?l.sibling=j:u.child=j,C.last=j)}return C.tail!==null?(u=C.tail,C.rendering=u,C.tail=u.sibling,C.renderingStartTime=Ve(),u.sibling=null,l=cr.current,Wt(cr,x?l&1|2:l&1),u):(Jr(u),null);case 22:case 23:return d0(),g=u.memoizedState!==null,l!==null&&l.memoizedState!==null!==g&&(u.flags|=8192),g&&u.mode&1?$o&1073741824&&(Jr(u),le&&u.subtreeFlags&6&&(u.flags|=8192)):Jr(u),null;case 24:return null;case 25:return null}throw Error(a(156,u.tag))}function q8(l,u){switch(gg(u),u.tag){case 1:return Jn(u.type)&&It(),l=u.flags,l&65536?(u.flags=l&-65537|128,u):null;case 3:return El(),Mt(un),Mt(Gt),Rg(),l=u.flags,l&65536&&!(l&128)?(u.flags=l&-65537|128,u):null;case 5:return Eg(u),null;case 13:if(Mt(cr),l=u.memoizedState,l!==null&&l.dehydrated!==null){if(u.alternate===null)throw Error(a(340));kl()}return l=u.flags,l&65536?(u.flags=l&-65537|128,u):null;case 19:return Mt(cr),null;case 4:return El(),null;case 10:return Sg(u.type._context),null;case 22:case 23:return d0(),null;case 24:return null;default:return null}}var bf=!1,Zr=!1,K8=typeof WeakSet=="function"?WeakSet:Set,pt=null;function Rl(l,u){var g=l.ref;if(g!==null)if(typeof g=="function")try{g(null)}catch(x){tr(l,u,x)}else g.current=null}function Kg(l,u,g){try{g()}catch(x){tr(l,u,x)}}var b2=!1;function X8(l,u){for($(l.containerInfo),pt=u;pt!==null;)if(l=pt,u=l.child,(l.subtreeFlags&1028)!==0&&u!==null)u.return=l,pt=u;else for(;pt!==null;){l=pt;try{var g=l.alternate;if(l.flags&1024)switch(l.tag){case 0:case 11:case 15:break;case 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-50%)",minW:8,top:"50%",insetInlineStart:"4.5rem",direction:"column",gap:2,children:[i.jsx(ze,{tooltip:"Show Options Panel (O)",tooltipProps:{placement:"top"},"aria-label":t("accessibility.showOptionsPanel"),onClick:s,sx:Sv,children:i.jsx(wy,{})}),n&&i.jsxs(i.Fragment,{children:[i.jsx(Zy,{iconButton:!0,sx:Sv}),i.jsx(ig,{sx:Sv})]})]}):null},Lde=f.memo($de),zde=be([Ba,Kn],(e,t)=>{const{shouldPinParametersPanel:n,shouldShowParametersPanel:r}=e;return{activeTabName:t,shouldPinParametersPanel:n,shouldShowParametersPanel:r}},Je),Bde=()=>{const e=te(),{shouldPinParametersPanel:t,shouldShowParametersPanel:n,activeTabName:r}=B(zde),o=()=>{e(db(!1))},s=B(c=>c.generation.model),a=f.useMemo(()=>r==="txt2img"?s&&s.base_model==="sdxl"?i.jsx(p8,{}):i.jsx(h8,{}):r==="img2img"?s&&s.base_model==="sdxl"?i.jsx(FO,{}):i.jsx(XO,{}):r==="unifiedCanvas"?i.jsx(R8,{}):null,[r,s]);return t?null:i.jsx(GI,{direction:"left",isResizable:!1,isOpen:n,onClose:o,children:i.jsxs(W,{sx:{flexDir:"column",h:"full",w:tx,gap:2,position:"relative",flexShrink:0,overflowY:"auto"},children:[i.jsxs(W,{paddingBottom:4,justifyContent:"space-between",alignItems:"center",children:[i.jsx(gO,{}),i.jsx(HO,{})]}),i.jsx(W,{sx:{gap:2,flexDirection:"column",h:"full",w:"full"},children:a})]})})},Fde=f.memo(Bde),Hde=be([e=>e.hotkeys,e=>e.ui],(e,t)=>{const{shift:n}=e,{shouldPinParametersPanel:r,shouldPinGallery:o}=t;return{shift:n,shouldPinGallery:o,shouldPinParametersPanel:r}},{memoizeOptions:{resultEqualityCheck:Zt}}),Wde=()=>{const e=te(),{shift:t,shouldPinParametersPanel:n,shouldPinGallery:r}=B(Hde),o=B(Kn);return tt("*",()=>{mP("shift")?!t&&e(jo(!0)):t&&e(jo(!1))},{keyup:!0,keydown:!0},[t]),tt("o",()=>{e(YD()),o==="unifiedCanvas"&&n&&e(ko())}),tt(["shift+o"],()=>{e(QD()),o==="unifiedCanvas"&&e(ko())}),tt("g",()=>{e(JD()),o==="unifiedCanvas"&&r&&e(ko())}),tt(["shift+g"],()=>{e(G_()),o==="unifiedCanvas"&&e(ko())}),tt("1",()=>{e(Yl("txt2img"))}),tt("2",()=>{e(Yl("img2img"))}),tt("3",()=>{e(Yl("unifiedCanvas"))}),tt("4",()=>{e(Yl("nodes"))}),null},Vde=f.memo(Wde),Ude={},Gde=({config:e=Ude,headerComponent:t})=>{const n=B(rP),r=OF(),o=te();return f.useEffect(()=>{Bn.changeLanguage(n)},[n]),f.useEffect(()=>{o5(e)&&(r.info({namespace:"App",config:e},"Received config"),o(ZD(e)))},[o,e,r]),f.useEffect(()=>{o(e9())},[o]),i.jsxs(i.Fragment,{children:[i.jsxs(sl,{w:"100vw",h:"100vh",position:"relative",overflow:"hidden",children:[i.jsx(FH,{children:i.jsxs(sl,{sx:{gap:4,p:4,gridAutoRows:"min-content 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diff --git a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-31ab5c15.js b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-6fe89879.js
similarity index 99%
rename from invokeai/frontend/web/dist/assets/ThemeLocaleProvider-31ab5c15.js
rename to invokeai/frontend/web/dist/assets/ThemeLocaleProvider-6fe89879.js
index b069480c3f..6f86cc3e56 100644
--- a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-31ab5c15.js
+++ b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-6fe89879.js
@@ -1,4 +1,4 @@
-import{B as m,g7 as Je,A as y,a5 as Ka,g8 as Xa,af as va,aj as d,g9 as b,ga as t,gb as Ya,gc as h,gd as ua,ge as Ja,gf as Qa,aL as Za,gg as et,ad as rt,gh as at}from"./index-de589048.js";import{s as fa,n as o,t as tt,o as ha,p as ot,q as ma,v as ga,w as ya,x as it,y as Sa,z as pa,A as xr,B as nt,D as lt,E as st,F as xa,G as $a,H as ka,J as dt,K as _a,L as ct,M as bt,N as vt,O as ut,Q as wa,R as ft,S as ht,T as mt,U as gt,V as yt,W as St,e as pt,X as xt}from"./menu-11348abc.js";var za=String.raw,Ca=za`
+import{B as m,g7 as Je,A as y,a5 as Ka,g8 as Xa,af as va,aj as d,g9 as b,ga as t,gb as Ya,gc as h,gd as ua,ge as Ja,gf as Qa,aL as Za,gg as et,ad as rt,gh as at}from"./index-dd054634.js";import{s as fa,n as o,t as tt,o as ha,p as ot,q as ma,v as ga,w as ya,x as it,y as Sa,z as pa,A as xr,B as nt,D as lt,E as st,F as xa,G as $a,H as ka,J as dt,K as _a,L as ct,M as bt,N as vt,O as ut,Q as wa,R as ft,S as ht,T as mt,U as gt,V as yt,W as St,e as pt,X as xt}from"./menu-b42141e3.js";var za=String.raw,Ca=za`
   :root,
   :host {
     --chakra-vh: 100vh;
diff --git a/invokeai/frontend/web/dist/assets/index-dd054634.js b/invokeai/frontend/web/dist/assets/index-dd054634.js
new file mode 100644
index 0000000000..fbca2591d7
--- /dev/null
+++ b/invokeai/frontend/web/dist/assets/index-dd054634.js
@@ -0,0 +1,151 @@
+function b7(e,t){for(var n=0;n<t.length;n++){const r=t[n];if(typeof r!="string"&&!Array.isArray(r)){for(const i in r)if(i!=="default"&&!(i in e)){const o=Object.getOwnPropertyDescriptor(r,i);o&&Object.defineProperty(e,i,o.get?o:{enumerable:!0,get:()=>r[i]})}}}return Object.freeze(Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}))}(function(){const t=document.createElement("link").relList;if(t&&t.supports&&t.supports("modulepreload"))return;for(const i of document.querySelectorAll('link[rel="modulepreload"]'))r(i);new MutationObserver(i=>{for(const o of i)if(o.type==="childList")for(const s of o.addedNodes)s.tagName==="LINK"&&s.rel==="modulepreload"&&r(s)}).observe(document,{childList:!0,subtree:!0});function n(i){const o={};return i.integrity&&(o.integrity=i.integrity),i.referrerPolicy&&(o.referrerPolicy=i.referrerPolicy),i.crossOrigin==="use-credentials"?o.credentials="include":i.crossOrigin==="anonymous"?o.credentials="omit":o.credentials="same-origin",o}function r(i){if(i.ep)return;i.ep=!0;const o=n(i);fetch(i.href,o)}})();var He=typeof globalThis<"u"?globalThis:typeof window<"u"?window:typeof global<"u"?global:typeof self<"u"?self:{};function dc(e){return e&&e.__esModule&&Object.prototype.hasOwnProperty.call(e,"default")?e.default:e}function WY(e){if(e.__esModule)return e;var t=e.default;if(typeof t=="function"){var n=function r(){return this instanceof r?Reflect.construct(t,arguments,this.constructor):t.apply(this,arguments)};n.prototype=t.prototype}else n={};return Object.defineProperty(n,"__esModule",{value:!0}),Object.keys(e).forEach(function(r){var i=Object.getOwnPropertyDescriptor(e,r);Object.defineProperty(n,r,i.get?i:{enumerable:!0,get:function(){return e[r]}})}),n}var S7={exports:{}},x_={},w7={exports:{}},ft={};/**
+ * @license React
+ * react.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var Yg=Symbol.for("react.element"),qY=Symbol.for("react.portal"),KY=Symbol.for("react.fragment"),XY=Symbol.for("react.strict_mode"),YY=Symbol.for("react.profiler"),QY=Symbol.for("react.provider"),ZY=Symbol.for("react.context"),JY=Symbol.for("react.forward_ref"),eQ=Symbol.for("react.suspense"),tQ=Symbol.for("react.memo"),nQ=Symbol.for("react.lazy"),CP=Symbol.iterator;function rQ(e){return e===null||typeof e!="object"?null:(e=CP&&e[CP]||e["@@iterator"],typeof e=="function"?e:null)}var x7={isMounted:function(){return!1},enqueueForceUpdate:function(){},enqueueReplaceState:function(){},enqueueSetState:function(){}},C7=Object.assign,T7={};function Lf(e,t,n){this.props=e,this.context=t,this.refs=T7,this.updater=n||x7}Lf.prototype.isReactComponent={};Lf.prototype.setState=function(e,t){if(typeof e!="object"&&typeof e!="function"&&e!=null)throw Error("setState(...): takes an object of state variables to update or a function which returns an object of state variables.");this.updater.enqueueSetState(this,e,t,"setState")};Lf.prototype.forceUpdate=function(e){this.updater.enqueueForceUpdate(this,e,"forceUpdate")};function E7(){}E7.prototype=Lf.prototype;function Y5(e,t,n){this.props=e,this.context=t,this.refs=T7,this.updater=n||x7}var Q5=Y5.prototype=new E7;Q5.constructor=Y5;C7(Q5,Lf.prototype);Q5.isPureReactComponent=!0;var TP=Array.isArray,A7=Object.prototype.hasOwnProperty,Z5={current:null},P7={key:!0,ref:!0,__self:!0,__source:!0};function R7(e,t,n){var r,i={},o=null,s=null;if(t!=null)for(r in t.ref!==void 0&&(s=t.ref),t.key!==void 0&&(o=""+t.key),t)A7.call(t,r)&&!P7.hasOwnProperty(r)&&(i[r]=t[r]);var a=arguments.length-2;if(a===1)i.children=n;else if(1<a){for(var l=Array(a),u=0;u<a;u++)l[u]=arguments[u+2];i.children=l}if(e&&e.defaultProps)for(r in a=e.defaultProps,a)i[r]===void 0&&(i[r]=a[r]);return{$$typeof:Yg,type:e,key:o,ref:s,props:i,_owner:Z5.current}}function iQ(e,t){return{$$typeof:Yg,type:e.type,key:t,ref:e.ref,props:e.props,_owner:e._owner}}function J5(e){return typeof e=="object"&&e!==null&&e.$$typeof===Yg}function oQ(e){var t={"=":"=0",":":"=2"};return"$"+e.replace(/[=:]/g,function(n){return t[n]})}var EP=/\/+/g;function Ew(e,t){return typeof e=="object"&&e!==null&&e.key!=null?oQ(""+e.key):t.toString(36)}function Y0(e,t,n,r,i){var o=typeof e;(o==="undefined"||o==="boolean")&&(e=null);var s=!1;if(e===null)s=!0;else switch(o){case"string":case"number":s=!0;break;case"object":switch(e.$$typeof){case Yg:case qY:s=!0}}if(s)return s=e,i=i(s),e=r===""?"."+Ew(s,0):r,TP(i)?(n="",e!=null&&(n=e.replace(EP,"$&/")+"/"),Y0(i,t,n,"",function(u){return u})):i!=null&&(J5(i)&&(i=iQ(i,n+(!i.key||s&&s.key===i.key?"":(""+i.key).replace(EP,"$&/")+"/")+e)),t.push(i)),1;if(s=0,r=r===""?".":r+":",TP(e))for(var a=0;a<e.length;a++){o=e[a];var l=r+Ew(o,a);s+=Y0(o,t,n,l,i)}else if(l=rQ(e),typeof l=="function")for(e=l.call(e),a=0;!(o=e.next()).done;)o=o.value,l=r+Ew(o,a++),s+=Y0(o,t,n,l,i);else if(o==="object")throw t=String(e),Error("Objects are not valid as a React child (found: "+(t==="[object Object]"?"object with keys {"+Object.keys(e).join(", ")+"}":t)+"). 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+ * @license React
+ * react-jsx-runtime.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var lQ=L,uQ=Symbol.for("react.element"),cQ=Symbol.for("react.fragment"),dQ=Object.prototype.hasOwnProperty,fQ=lQ.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED.ReactCurrentOwner,hQ={key:!0,ref:!0,__self:!0,__source:!0};function O7(e,t,n){var r,i={},o=null,s=null;n!==void 0&&(o=""+n),t.key!==void 0&&(o=""+t.key),t.ref!==void 0&&(s=t.ref);for(r in t)dQ.call(t,r)&&!hQ.hasOwnProperty(r)&&(i[r]=t[r]);if(e&&e.defaultProps)for(r in t=e.defaultProps,t)i[r]===void 0&&(i[r]=t[r]);return{$$typeof:uQ,type:e,key:o,ref:s,props:i,_owner:fQ.current}}x_.Fragment=cQ;x_.jsx=O7;x_.jsxs=O7;S7.exports=x_;var ue=S7.exports,gC={},k7={exports:{}},Yi={},I7={exports:{}},M7={};/**
+ * @license React
+ * scheduler.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
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input";break;case me.custom:n="Invalid input";break;case me.invalid_intersection_types:n="Intersection results could not be merged";break;case me.not_multiple_of:n=`Number must be a multiple of ${e.multipleOf}`;break;case me.not_finite:n="Number must be finite";break;default:n=t.defaultError,wt.assertNever(e)}return{message:n}};let VD=cg;function cle(e){VD=e}function f1(){return VD}const h1=e=>{const{data:t,path:n,errorMaps:r,issueData:i}=e,o=[...n,...i.path||[]],s={...i,path:o};let a="";const l=r.filter(u=>!!u).slice().reverse();for(const u of l)a=u(s,{data:t,defaultError:a}).message;return{...i,path:o,message:i.message||a}},dle=[];function Te(e,t){const n=h1({issueData:t,data:e.data,path:e.path,errorMaps:[e.common.contextualErrorMap,e.schemaErrorMap,f1(),cg].filter(r=>!!r)});e.common.issues.push(n)}class Wr{constructor(){this.value="valid"}dirty(){this.value==="valid"&&(this.value="dirty")}abort(){this.value!=="aborted"&&(this.value="aborted")}static mergeArray(t,n){const r=[];for(const i of n){if(i.status==="aborted")return je;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return Wr.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:s}=i;if(o.status==="aborted"||s.status==="aborted")return je;o.status==="dirty"&&t.dirty(),s.status==="dirty"&&t.dirty(),(typeof s.value<"u"||i.alwaysSet)&&(r[o.value]=s.value)}return{status:t.value,value:r}}}const je=Object.freeze({status:"aborted"}),jD=e=>({status:"dirty",value:e}),li=e=>({status:"valid",value:e}),T3=e=>e.status==="aborted",E3=e=>e.status==="dirty",p1=e=>e.status==="valid",g1=e=>typeof Promise<"u"&&e instanceof Promise;var Le;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(Le||(Le={}));class Ms{constructor(t,n,r,i){this._cachedPath=[],this.parent=t,this.data=n,this._path=r,this._key=i}get path(){return this._cachedPath.length||(this._key instanceof Array?this._cachedPath.push(...this._path,...this._key):this._cachedPath.push(...this._path,this._key)),this._cachedPath}}const I9=(e,t)=>{if(p1(t))return{success:!0,data:t.value};if(!e.common.issues.length)throw new Error("Validation failed but no issues detected.");return{success:!1,get error(){if(this._error)return this._error;const n=new Xo(e.common.issues);return this._error=n,this._error}}};function Qe(e){if(!e)return{};const{errorMap:t,invalid_type_error:n,required_error:r,description:i}=e;if(t&&(n||r))throw new Error(`Can't use "invalid_type_error" or "required_error" in conjunction with custom error map.`);return t?{errorMap:t,description:i}:{errorMap:(s,a)=>s.code!=="invalid_type"?{message:a.defaultError}:typeof a.data>"u"?{message:r??a.defaultError}:{message:n??a.defaultError},description:i}}class tt{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return ml(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:ml(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new Wr,ctx:{common:t.parent.common,data:t.data,parsedType:ml(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(g1(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:ml(t)},o=this._parseSync({data:t,path:i.path,parent:i});return I9(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:ml(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(g1(i)?i:Promise.resolve(i));return I9(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const s=t(i),a=()=>o.addIssue({code:me.custom,...r(i)});return typeof Promise<"u"&&s instanceof Promise?s.then(l=>l?!0:(a(),!1)):s?!0:(a(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new ts({schema:this,typeName:Ue.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return _a.create(this,this._def)}nullable(){return ic.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return Yo.create(this,this._def)}promise(){return xf.create(this,this._def)}or(t){return pg.create([this,t],this._def)}and(t){return gg.create(this,t,this._def)}transform(t){return new ts({...Qe(this._def),schema:this,typeName:Ue.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new bg({...Qe(this._def),innerType:this,defaultValue:n,typeName:Ue.ZodDefault})}brand(){return new HD({typeName:Ue.ZodBranded,type:this,...Qe(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new _1({...Qe(this._def),innerType:this,catchValue:n,typeName:Ue.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return hm.create(this,t)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const fle=/^c[^\s-]{8,}$/i,hle=/^[a-z][a-z0-9]*$/,ple=/[0-9A-HJKMNP-TV-Z]{26}/,gle=/^([a-f0-9]{8}-[a-f0-9]{4}-[1-5][a-f0-9]{3}-[a-f0-9]{4}-[a-f0-9]{12}|00000000-0000-0000-0000-000000000000)$/i,mle=/^(([^<>()[\]\\.,;:\s@\"]+(\.[^<>()[\]\\.,;:\s@\"]+)*)|(\".+\"))@((\[(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\])|(\[IPv6:(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))\])|([A-Za-z0-9]([A-Za-z0-9-]*[A-Za-z0-9])*(\.[A-Za-z]{2,})+))$/,yle=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,vle=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,_le=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,ble=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function Sle(e,t){return!!((t==="v4"||!t)&&vle.test(e)||(t==="v6"||!t)&&_le.test(e))}class Ho extends tt{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:me.invalid_string,...Le.errToObj(r)}),this.nonempty=t=>this.min(1,Le.errToObj(t)),this.trim=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==xe.string){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.string,received:o.parsedType}),je}const r=new Wr;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?Te(i,{code:me.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&Te(i,{code:me.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")mle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"email",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")yle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"emoji",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")gle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"uuid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")fle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"cuid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")hle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"cuid2",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")ple.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"ulid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),Te(i,{validation:"url",code:me.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"regex",code:me.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?ble(o).test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?Sle(t.data,o.version)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"ip",code:me.invalid_string,message:o.message}),r.dirty()):wt.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new Ho({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...Le.errToObj(t)})}url(t){return this._addCheck({kind:"url",...Le.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...Le.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...Le.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...Le.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...Le.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...Le.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...Le.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...Le.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...Le.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...Le.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...Le.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...Le.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...Le.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...Le.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...Le.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Ho.create=e=>{var t;return new Ho({checks:[],typeName:Ue.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Qe(e)})};function wle(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class zl extends tt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==xe.number){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.number,received:o.parsedType}),je}let r;const i=new Wr;for(const o of this._def.checks)o.kind==="int"?wt.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Te(r,{code:me.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?wle(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_finite,message:o.message}),i.dirty()):wt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Le.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Le.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Le.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Le.toString(n))}setLimit(t,n,r,i){return new zl({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Le.toString(i)}]})}_addCheck(t){return new zl({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:Le.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:Le.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:Le.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:Le.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:Le.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Le.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:Le.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:Le.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:Le.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&wt.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}zl.create=e=>new zl({checks:[],typeName:Ue.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...Qe(e)});class Vl extends tt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==xe.bigint){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.bigint,received:o.parsedType}),je}let r;const i=new Wr;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):wt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Le.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Le.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Le.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Le.toString(n))}setLimit(t,n,r,i){return new Vl({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Le.toString(i)}]})}_addCheck(t){return new Vl({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:Le.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:Le.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:Le.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:Le.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Le.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Vl.create=e=>{var t;return new Vl({checks:[],typeName:Ue.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Qe(e)})};class dg extends tt{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==xe.boolean){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.boolean,received:r.parsedType}),je}return li(t.data)}}dg.create=e=>new dg({typeName:Ue.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...Qe(e)});class nc extends tt{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==xe.date){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.date,received:o.parsedType}),je}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_date}),je}const r=new Wr;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):wt.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new nc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:Le.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:Le.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}nc.create=e=>new nc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:Ue.ZodDate,...Qe(e)});class m1 extends tt{_parse(t){if(this._getType(t)!==xe.symbol){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.symbol,received:r.parsedType}),je}return li(t.data)}}m1.create=e=>new m1({typeName:Ue.ZodSymbol,...Qe(e)});class fg extends tt{_parse(t){if(this._getType(t)!==xe.undefined){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.undefined,received:r.parsedType}),je}return li(t.data)}}fg.create=e=>new fg({typeName:Ue.ZodUndefined,...Qe(e)});class hg extends tt{_parse(t){if(this._getType(t)!==xe.null){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.null,received:r.parsedType}),je}return li(t.data)}}hg.create=e=>new hg({typeName:Ue.ZodNull,...Qe(e)});class wf extends tt{constructor(){super(...arguments),this._any=!0}_parse(t){return li(t.data)}}wf.create=e=>new wf({typeName:Ue.ZodAny,...Qe(e)});class Gu extends tt{constructor(){super(...arguments),this._unknown=!0}_parse(t){return li(t.data)}}Gu.create=e=>new Gu({typeName:Ue.ZodUnknown,...Qe(e)});class Oa extends tt{_parse(t){const n=this._getOrReturnCtx(t);return Te(n,{code:me.invalid_type,expected:xe.never,received:n.parsedType}),je}}Oa.create=e=>new Oa({typeName:Ue.ZodNever,...Qe(e)});class y1 extends tt{_parse(t){if(this._getType(t)!==xe.undefined){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.void,received:r.parsedType}),je}return li(t.data)}}y1.create=e=>new y1({typeName:Ue.ZodVoid,...Qe(e)});class Yo extends tt{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==xe.array)return Te(n,{code:me.invalid_type,expected:xe.array,received:n.parsedType}),je;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(Te(n,{code:s?me.too_big:me.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(Te(n,{code:me.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(Te(n,{code:me.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new Ms(n,s,n.path,a)))).then(s=>Wr.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new Ms(n,s,n.path,a)));return Wr.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Yo({...this._def,minLength:{value:t,message:Le.toString(n)}})}max(t,n){return new Yo({...this._def,maxLength:{value:t,message:Le.toString(n)}})}length(t,n){return new Yo({...this._def,exactLength:{value:t,message:Le.toString(n)}})}nonempty(t){return this.min(1,t)}}Yo.create=(e,t)=>new Yo({type:e,minLength:null,maxLength:null,exactLength:null,typeName:Ue.ZodArray,...Qe(t)});function yd(e){if(e instanceof gn){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=_a.create(yd(r))}return new gn({...e._def,shape:()=>t})}else return e instanceof Yo?new Yo({...e._def,type:yd(e.element)}):e instanceof _a?_a.create(yd(e.unwrap())):e instanceof ic?ic.create(yd(e.unwrap())):e instanceof Ns?Ns.create(e.items.map(t=>yd(t))):e}class gn extends tt{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=wt.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==xe.object){const u=this._getOrReturnCtx(t);return Te(u,{code:me.invalid_type,expected:xe.object,received:u.parsedType}),je}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof Oa&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const d=o[u],f=i.data[u];l.push({key:{status:"valid",value:u},value:d._parse(new Ms(i,f,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof Oa){const u=this._def.unknownKeys;if(u==="passthrough")for(const d of a)l.push({key:{status:"valid",value:d},value:{status:"valid",value:i.data[d]}});else if(u==="strict")a.length>0&&(Te(i,{code:me.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const d of a){const f=i.data[d];l.push({key:{status:"valid",value:d},value:u._parse(new Ms(i,f,i.path,d)),alwaysSet:d in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const d of l){const f=await d.key;u.push({key:f,value:await d.value,alwaysSet:d.alwaysSet})}return u}).then(u=>Wr.mergeObjectSync(r,u)):Wr.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return Le.errToObj,new gn({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=Le.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new gn({...this._def,unknownKeys:"strip"})}passthrough(){return new gn({...this._def,unknownKeys:"passthrough"})}extend(t){return new gn({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new gn({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:Ue.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new gn({...this._def,catchall:t})}pick(t){const n={};return wt.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new gn({...this._def,shape:()=>n})}omit(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new gn({...this._def,shape:()=>n})}deepPartial(){return yd(this)}partial(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new gn({...this._def,shape:()=>n})}required(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof _a;)o=o._def.innerType;n[r]=o}}),new gn({...this._def,shape:()=>n})}keyof(){return GD(wt.objectKeys(this.shape))}}gn.create=(e,t)=>new gn({shape:()=>e,unknownKeys:"strip",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});gn.strictCreate=(e,t)=>new gn({shape:()=>e,unknownKeys:"strict",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});gn.lazycreate=(e,t)=>new gn({shape:e,unknownKeys:"strip",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});class pg extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new Xo(a.ctx.common.issues));return Te(n,{code:me.invalid_union,unionErrors:s}),je}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},d=l._parseSync({data:n.data,path:n.path,parent:u});if(d.status==="valid")return d;d.status==="dirty"&&!o&&(o={result:d,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new Xo(l));return Te(n,{code:me.invalid_union,unionErrors:a}),je}}get options(){return this._def.options}}pg.create=(e,t)=>new pg({options:e,typeName:Ue.ZodUnion,...Qe(t)});const cv=e=>e instanceof yg?cv(e.schema):e instanceof ts?cv(e.innerType()):e instanceof vg?[e.value]:e instanceof jl?e.options:e instanceof _g?Object.keys(e.enum):e instanceof bg?cv(e._def.innerType):e instanceof fg?[void 0]:e instanceof hg?[null]:null;class ib extends tt{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.object)return Te(n,{code:me.invalid_type,expected:xe.object,received:n.parsedType}),je;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(Te(n,{code:me.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),je)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=cv(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new ib({typeName:Ue.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...Qe(r)})}}function A3(e,t){const n=ml(e),r=ml(t);if(e===t)return{valid:!0,data:e};if(n===xe.object&&r===xe.object){const i=wt.objectKeys(t),o=wt.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=A3(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===xe.array&&r===xe.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=A3(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===xe.date&&r===xe.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class gg extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(T3(o)||T3(s))return je;const a=A3(o.value,s.value);return a.valid?((E3(o)||E3(s))&&n.dirty(),{status:n.value,value:a.data}):(Te(r,{code:me.invalid_intersection_types}),je)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}gg.create=(e,t,n)=>new gg({left:e,right:t,typeName:Ue.ZodIntersection,...Qe(n)});class Ns extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.array)return Te(r,{code:me.invalid_type,expected:xe.array,received:r.parsedType}),je;if(r.data.length<this._def.items.length)return Te(r,{code:me.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),je;!this._def.rest&&r.data.length>this._def.items.length&&(Te(r,{code:me.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new Ms(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>Wr.mergeArray(n,s)):Wr.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new Ns({...this._def,rest:t})}}Ns.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new Ns({items:e,typeName:Ue.ZodTuple,rest:null,...Qe(t)})};class mg extends tt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.object)return Te(r,{code:me.invalid_type,expected:xe.object,received:r.parsedType}),je;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new Ms(r,a,r.path,a)),value:s._parse(new Ms(r,r.data[a],r.path,a))});return r.common.async?Wr.mergeObjectAsync(n,i):Wr.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof tt?new mg({keyType:t,valueType:n,typeName:Ue.ZodRecord,...Qe(r)}):new mg({keyType:Ho.create(),valueType:t,typeName:Ue.ZodRecord,...Qe(n)})}}class v1 extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.map)return Te(r,{code:me.invalid_type,expected:xe.map,received:r.parsedType}),je;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new Ms(r,a,r.path,[u,"key"])),value:o._parse(new Ms(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,d=await l.value;if(u.status==="aborted"||d.status==="aborted")return je;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,d=l.value;if(u.status==="aborted"||d.status==="aborted")return je;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}}}}v1.create=(e,t,n)=>new v1({valueType:t,keyType:e,typeName:Ue.ZodMap,...Qe(n)});class rc extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.set)return Te(r,{code:me.invalid_type,expected:xe.set,received:r.parsedType}),je;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(Te(r,{code:me.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(Te(r,{code:me.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const d of l){if(d.status==="aborted")return je;d.status==="dirty"&&n.dirty(),u.add(d.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new Ms(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new rc({...this._def,minSize:{value:t,message:Le.toString(n)}})}max(t,n){return new rc({...this._def,maxSize:{value:t,message:Le.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}rc.create=(e,t)=>new rc({valueType:e,minSize:null,maxSize:null,typeName:Ue.ZodSet,...Qe(t)});class Jd extends tt{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.function)return Te(n,{code:me.invalid_type,expected:xe.function,received:n.parsedType}),je;function r(a,l){return h1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,f1(),cg].filter(u=>!!u),issueData:{code:me.invalid_arguments,argumentsError:l}})}function i(a,l){return h1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,f1(),cg].filter(u=>!!u),issueData:{code:me.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;return this._def.returns instanceof xf?li(async(...a)=>{const l=new Xo([]),u=await this._def.args.parseAsync(a,o).catch(p=>{throw l.addIssue(r(a,p)),l}),d=await s(...u);return await this._def.returns._def.type.parseAsync(d,o).catch(p=>{throw l.addIssue(i(d,p)),l})}):li((...a)=>{const l=this._def.args.safeParse(a,o);if(!l.success)throw new Xo([r(a,l.error)]);const u=s(...l.data),d=this._def.returns.safeParse(u,o);if(!d.success)throw new Xo([i(u,d.error)]);return d.data})}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new Jd({...this._def,args:Ns.create(t).rest(Gu.create())})}returns(t){return new Jd({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new Jd({args:t||Ns.create([]).rest(Gu.create()),returns:n||Gu.create(),typeName:Ue.ZodFunction,...Qe(r)})}}class yg extends tt{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}yg.create=(e,t)=>new yg({getter:e,typeName:Ue.ZodLazy,...Qe(t)});class vg extends tt{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Te(n,{received:n.data,code:me.invalid_literal,expected:this._def.value}),je}return{status:"valid",value:t.data}}get value(){return this._def.value}}vg.create=(e,t)=>new vg({value:e,typeName:Ue.ZodLiteral,...Qe(t)});function GD(e,t){return new jl({values:e,typeName:Ue.ZodEnum,...Qe(t)})}class jl extends tt{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Te(n,{expected:wt.joinValues(r),received:n.parsedType,code:me.invalid_type}),je}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Te(n,{received:n.data,code:me.invalid_enum_value,options:r}),je}return li(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return jl.create(t)}exclude(t){return jl.create(this.options.filter(n=>!t.includes(n)))}}jl.create=GD;class _g extends tt{_parse(t){const n=wt.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==xe.string&&r.parsedType!==xe.number){const i=wt.objectValues(n);return Te(r,{expected:wt.joinValues(i),received:r.parsedType,code:me.invalid_type}),je}if(n.indexOf(t.data)===-1){const i=wt.objectValues(n);return Te(r,{received:r.data,code:me.invalid_enum_value,options:i}),je}return li(t.data)}get enum(){return this._def.values}}_g.create=(e,t)=>new _g({values:e,typeName:Ue.ZodNativeEnum,...Qe(t)});class xf extends tt{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.promise&&n.common.async===!1)return Te(n,{code:me.invalid_type,expected:xe.promise,received:n.parsedType}),je;const r=n.parsedType===xe.promise?n.data:Promise.resolve(n.data);return li(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}xf.create=(e,t)=>new xf({type:e,typeName:Ue.ZodPromise,...Qe(t)});class ts extends tt{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===Ue.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null;if(i.type==="preprocess"){const s=i.transform(r.data);return r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}const o={addIssue:s=>{Te(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?je:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?je:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!p1(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>p1(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);wt.assertNever(i)}}ts.create=(e,t,n)=>new ts({schema:e,typeName:Ue.ZodEffects,effect:t,...Qe(n)});ts.createWithPreprocess=(e,t,n)=>new ts({schema:t,effect:{type:"preprocess",transform:e},typeName:Ue.ZodEffects,...Qe(n)});class _a extends tt{_parse(t){return this._getType(t)===xe.undefined?li(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}_a.create=(e,t)=>new _a({innerType:e,typeName:Ue.ZodOptional,...Qe(t)});class ic extends tt{_parse(t){return this._getType(t)===xe.null?li(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}ic.create=(e,t)=>new ic({innerType:e,typeName:Ue.ZodNullable,...Qe(t)});class bg extends tt{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===xe.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}bg.create=(e,t)=>new bg({innerType:e,typeName:Ue.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...Qe(t)});class _1 extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return g1(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new Xo(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new Xo(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}_1.create=(e,t)=>new _1({innerType:e,typeName:Ue.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...Qe(t)});class b1 extends tt{_parse(t){if(this._getType(t)!==xe.nan){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.nan,received:r.parsedType}),je}return{status:"valid",value:t.data}}}b1.create=e=>new b1({typeName:Ue.ZodNaN,...Qe(e)});const xle=Symbol("zod_brand");class HD extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class hm extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?je:o.status==="dirty"?(n.dirty(),jD(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?je:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new hm({in:t,out:n,typeName:Ue.ZodPipeline})}}const WD=(e,t={},n)=>e?wf.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):wf.create(),Cle={object:gn.lazycreate};var Ue;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline"})(Ue||(Ue={}));const Tle=(e,t={message:`Input not instance of ${e.name}`})=>WD(n=>n instanceof e,t),qD=Ho.create,KD=zl.create,Ele=b1.create,Ale=Vl.create,XD=dg.create,Ple=nc.create,Rle=m1.create,Ole=fg.create,kle=hg.create,Ile=wf.create,Mle=Gu.create,Nle=Oa.create,Lle=y1.create,Dle=Yo.create,$le=gn.create,Fle=gn.strictCreate,Ble=pg.create,Ule=ib.create,zle=gg.create,Vle=Ns.create,jle=mg.create,Gle=v1.create,Hle=rc.create,Wle=Jd.create,qle=yg.create,Kle=vg.create,Xle=jl.create,Yle=_g.create,Qle=xf.create,M9=ts.create,Zle=_a.create,Jle=ic.create,eue=ts.createWithPreprocess,tue=hm.create,nue=()=>qD().optional(),rue=()=>KD().optional(),iue=()=>XD().optional(),oue={string:e=>Ho.create({...e,coerce:!0}),number:e=>zl.create({...e,coerce:!0}),boolean:e=>dg.create({...e,coerce:!0}),bigint:e=>Vl.create({...e,coerce:!0}),date:e=>nc.create({...e,coerce:!0})},sue=je;var xt=Object.freeze({__proto__:null,defaultErrorMap:cg,setErrorMap:cle,getErrorMap:f1,makeIssue:h1,EMPTY_PATH:dle,addIssueToContext:Te,ParseStatus:Wr,INVALID:je,DIRTY:jD,OK:li,isAborted:T3,isDirty:E3,isValid:p1,isAsync:g1,get util(){return wt},get objectUtil(){return C3},ZodParsedType:xe,getParsedType:ml,ZodType:tt,ZodString:Ho,ZodNumber:zl,ZodBigInt:Vl,ZodBoolean:dg,ZodDate:nc,ZodSymbol:m1,ZodUndefined:fg,ZodNull:hg,ZodAny:wf,ZodUnknown:Gu,ZodNever:Oa,ZodVoid:y1,ZodArray:Yo,ZodObject:gn,ZodUnion:pg,ZodDiscriminatedUnion:ib,ZodIntersection:gg,ZodTuple:Ns,ZodRecord:mg,ZodMap:v1,ZodSet:rc,ZodFunction:Jd,ZodLazy:yg,ZodLiteral:vg,ZodEnum:jl,ZodNativeEnum:_g,ZodPromise:xf,ZodEffects:ts,ZodTransformer:ts,ZodOptional:_a,ZodNullable:ic,ZodDefault:bg,ZodCatch:_1,ZodNaN:b1,BRAND:xle,ZodBranded:HD,ZodPipeline:hm,custom:WD,Schema:tt,ZodSchema:tt,late:Cle,get ZodFirstPartyTypeKind(){return Ue},coerce:oue,any:Ile,array:Dle,bigint:Ale,boolean:XD,date:Ple,discriminatedUnion:Ule,effect:M9,enum:Xle,function:Wle,instanceof:Tle,intersection:zle,lazy:qle,literal:Kle,map:Gle,nan:Ele,nativeEnum:Yle,never:Nle,null:kle,nullable:Jle,number:KD,object:$le,oboolean:iue,onumber:rue,optional:Zle,ostring:nue,pipeline:tue,preprocess:eue,promise:Qle,record:jle,set:Hle,strictObject:Fle,string:qD,symbol:Rle,transformer:M9,tuple:Vle,undefined:Ole,union:Ble,unknown:Mle,void:Lle,NEVER:sue,ZodIssueCode:me,quotelessJson:ule,ZodError:Xo});const aue=xt.string(),iRe=e=>aue.safeParse(e).success,lue=xt.string(),oRe=e=>lue.safeParse(e).success,uue=xt.string(),sRe=e=>uue.safeParse(e).success,cue=xt.string(),aRe=e=>cue.safeParse(e).success,due=xt.number().int().min(1),lRe=e=>due.safeParse(e).success,fue=xt.number().min(1),uRe=e=>fue.safeParse(e).success,hue=xt.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),cRe=e=>hue.safeParse(e).success,dRe={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler Ancestral",kdpm_2_a:"KDPM 2 Ancestral"},pue=xt.number().int().min(0).max(lle),fRe=e=>pue.safeParse(e).success,gue=xt.number().multipleOf(8).min(64),hRe=e=>gue.safeParse(e).success,mue=xt.number().multipleOf(8).min(64),pRe=e=>mue.safeParse(e).success,pm=xt.enum(["sd-1","sd-2","sdxl","sdxl-refiner"]),bT=xt.object({model_name:xt.string().min(1),base_model:pm,model_type:xt.literal("main")}),gRe=e=>bT.safeParse(e).success,YD=xt.object({model_name:xt.string().min(1),base_model:xt.literal("sdxl-refiner"),model_type:xt.literal("main")}),mRe=e=>YD.safeParse(e).success,yue=xt.object({model_name:xt.string().min(1),base_model:pm,model_type:xt.literal("onnx")}),QD=xt.union([bT,yue]),vue=xt.object({model_name:xt.string().min(1),base_model:pm}),yRe=xt.object({model_name:xt.string().min(1),base_model:pm}),vRe=xt.object({model_name:xt.string().min(1),base_model:pm}),_ue=xt.number().min(0).max(1),_Re=e=>_ue.safeParse(e).success;xt.enum(["fp16","fp32"]);const bue=xt.number().min(1).max(10),bRe=e=>bue.safeParse(e).success,Sue=xt.number().min(0).max(1),SRe=e=>Sue.safeParse(e).success,Da={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",seamBlur:16,seamSize:96,seamSteps:30,seamStrength:.7,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,shouldUseNoiseSettings:!1,steps:50,threshold:0,tileSize:32,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null},wue=Da,ZD=yn({name:"generation",initialState:wue,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=bl(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=bl(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...Da}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 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P=E.meta,k=E.meta,O=k.requestId,M=k.arg,G=k.startedTimeStamp;M.track&&(T[Cg(P)]={requestId:O,status:ln.pending,endpointName:M.endpointName,startedTimeStamp:G})}).addCase(r.fulfilled,function(T,E){var P=E.payload,k=E.meta;k.arg.track&&W9(T,k,function(O){O.requestId===k.requestId&&(O.status=ln.fulfilled,O.data=P,O.fulfilledTimeStamp=k.fulfilledTimeStamp)})}).addCase(r.rejected,function(T,E){var P=E.payload,k=E.error,O=E.meta;O.arg.track&&W9(T,O,function(M){M.requestId===O.requestId&&(M.status=ln.rejected,M.error=P??k)})}).addMatcher(l,function(T,E){for(var P=a(E).mutations,k=0,O=Object.entries(P);k<O.length;k++){var M=O[k],G=M[0],U=M[1];((U==null?void 0:U.status)===ln.fulfilled||(U==null?void 0:U.status)===ln.rejected)&&G!==(U==null?void 0:U.requestId)&&(T[G]=U)}})}}),m=yn({name:t+"/invalidation",initialState:Vh,reducers:{},extraReducers:function(C){C.addCase(p.actions.removeQueryResult,function(T,E){for(var P=E.payload.queryCacheKey,k=0,O=Object.values(T);k<O.length;k++)for(var 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t=e.reducerPath,n=e.queryThunk,r=e.api,i=e.refetchQuery,o=e.internalState,s={},a=function(g,m){(r.internalActions.updateSubscriptionOptions.match(g)||r.internalActions.unsubscribeQueryResult.match(g))&&u(g.payload,m),(n.pending.match(g)||n.rejected.match(g)&&g.meta.condition)&&u(g.meta.arg,m),(n.fulfilled.match(g)||n.rejected.match(g)&&!g.meta.condition)&&l(g.meta.arg,m),r.util.resetApiState.match(g)&&f()};function l(g,m){var v=g.queryCacheKey,x=m.getState()[t],_=x.queries[v],b=o.currentSubscriptions[v];if(!(!_||_.status===ln.uninitialized)){var y=p(b);if(Number.isFinite(y)){var S=s[v];S!=null&&S.timeout&&(clearTimeout(S.timeout),S.timeout=void 0);var C=Date.now()+y,T=s[v]={nextPollTimestamp:C,pollingInterval:y,timeout:setTimeout(function(){T.timeout=void 0,m.dispatch(i(_,v))},y)}}}}function u(g,m){var v=g.queryCacheKey,x=m.getState()[t],_=x.queries[v],b=o.currentSubscriptions[v];if(!(!_||_.status===ln.uninitialized)){var y=p(b);if(!Number.isFinite(y)){d(v);return}var 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O=p.payload,E=O.queryCacheKey,P=O.requestId;return f[E]&&delete f[E][P],!0}if(t.internalActions.removeQueryResult.match(p))return delete f[p.payload.queryCacheKey],!0;if(n.pending.match(p)){var M=p.meta,G=M.arg,P=M.requestId;if(G.subscribe){var U=(v=f[m=G.queryCacheKey])!=null?v:f[m]={};return U[P]=(_=(x=G.subscriptionOptions)!=null?x:U[P])!=null?_:{},!0}}if(n.rejected.match(p)){var A=p.meta,N=A.condition,G=A.arg,P=A.requestId;if(N&&G.subscribe){var U=(y=f[b=G.queryCacheKey])!=null?y:f[b]={};return U[P]=(C=(S=G.subscriptionOptions)!=null?S:U[P])!=null?C:{},!0}}return!1};return function(f,p){var g,m;if(o||(o=JSON.parse(JSON.stringify(r.currentSubscriptions))),t.util.resetApiState.match(f))return o=r.currentSubscriptions={},[!0,!1];if(t.internalActions.internal_probeSubscription.match(f)){var v=f.payload,x=v.queryCacheKey,_=v.requestId,b=!!((g=r.currentSubscriptions[x])!=null&&g[_]);return[!1,b]}var y=d(r.currentSubscriptions,f);if(y){s||(Ece(function(){var 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p=hce({baseQuery:r,reducerPath:o,context:n,api:e,serializeQueryArgs:s}),g=p.queryThunk,m=p.mutationThunk,v=p.patchQueryData,x=p.updateQueryData,_=p.upsertQueryData,b=p.prefetch,y=p.buildMatchThunkActions,S=pce({context:n,queryThunk:g,mutationThunk:m,reducerPath:o,assertTagType:f,config:{refetchOnFocus:u,refetchOnReconnect:d,refetchOnMountOrArgChange:l,keepUnusedDataFor:a,reducerPath:o}}),C=S.reducer,T=S.actions;nl(e.util,{patchQueryData:v,updateQueryData:x,upsertQueryData:_,prefetch:b,resetApiState:T.resetApiState}),nl(e.internalActions,T);var E=Pce({reducerPath:o,context:n,queryThunk:g,mutationThunk:m,api:e,assertTagType:f}),P=E.middleware,k=E.actions;nl(e.util,k),nl(e,{reducer:C,middleware:P});var O=gce({serializeQueryArgs:s,reducerPath:o}),M=O.buildQuerySelector,G=O.buildMutationSelector,U=O.selectInvalidatedBy;nl(e.util,{selectInvalidatedBy:U});var 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+ * @license React
+ * use-sync-external-store-shim.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var Cf=L;function Oce(e,t){return e===t&&(e!==0||1/e===1/t)||e!==e&&t!==t}var kce=typeof Object.is=="function"?Object.is:Oce,Ice=Cf.useState,Mce=Cf.useEffect,Nce=Cf.useLayoutEffect,Lce=Cf.useDebugValue;function Dce(e,t){var n=t(),r=Ice({inst:{value:n,getSnapshot:t}}),i=r[0].inst,o=r[1];return Nce(function(){i.value=n,i.getSnapshot=t,cx(i)&&o({inst:i})},[e,n,t]),Mce(function(){return cx(i)&&o({inst:i}),e(function(){cx(i)&&o({inst:i})})},[e]),Lce(n),n}function cx(e){var t=e.getSnapshot;e=e.value;try{var n=t();return!kce(e,n)}catch{return!0}}function $ce(e,t){return t()}var Fce=typeof window>"u"||typeof window.document>"u"||typeof window.document.createElement>"u"?$ce:Dce;_$.useSyncExternalStore=Cf.useSyncExternalStore!==void 0?Cf.useSyncExternalStore:Fce;v$.exports=_$;var Bce=v$.exports,b$={exports:{}},S$={};/**
+ * @license React
+ * use-sync-external-store-shim/with-selector.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var ab=L,Uce=Bce;function zce(e,t){return e===t&&(e!==0||1/e===1/t)||e!==e&&t!==t}var Vce=typeof Object.is=="function"?Object.is:zce,jce=Uce.useSyncExternalStore,Gce=ab.useRef,Hce=ab.useEffect,Wce=ab.useMemo,qce=ab.useDebugValue;S$.useSyncExternalStoreWithSelector=function(e,t,n,r,i){var o=Gce(null);if(o.current===null){var s={hasValue:!1,value:null};o.current=s}else s=o.current;o=Wce(function(){function l(g){if(!u){if(u=!0,d=g,g=r(g),i!==void 0&&s.hasValue){var m=s.value;if(i(m,g))return f=m}return f=g}if(m=f,Vce(d,g))return m;var v=r(g);return i!==void 0&&i(m,v)?m:(d=g,f=v)}var u=!1,d,f,p=n===void 0?null:n;return[function(){return l(t())},p===null?void 0:function(){return l(p())}]},[t,n,r,i]);var a=jce(e,o[0],o[1]);return Hce(function(){s.hasValue=!0,s.value=a},[a]),qce(a),a};b$.exports=S$;var w$=b$.exports;const Kce=dc(w$);function Xce(e){e()}let x$=Xce;const Yce=e=>x$=e,Qce=()=>x$,J9=Symbol.for(`react-redux-context-${L.version}`),eR=globalThis;function Zce(){let e=eR[J9];return e||(e=L.createContext(null),eR[J9]=e),e}const Gl=new Proxy({},new Proxy({},{get(e,t){const n=Zce();return(r,...i)=>Reflect[t](n,...i)}}));function TT(e=Gl){return function(){return L.useContext(e)}}const C$=TT(),Jce=()=>{throw new Error("uSES not initialized!")};let T$=Jce;const ede=e=>{T$=e},tde=(e,t)=>e===t;function nde(e=Gl){const t=e===Gl?C$:TT(e);return function(r,i={}){const{equalityFn:o=tde,stabilityCheck:s=void 0,noopCheck:a=void 0}=typeof i=="function"?{equalityFn:i}:i,{store:l,subscription:u,getServerState:d,stabilityCheck:f,noopCheck:p}=t();L.useRef(!0);const g=L.useCallback({[r.name](v){return r(v)}}[r.name],[r,f,s]),m=T$(u.addNestedSub,l.getState,d||l.getState,g,o);return L.useDebugValue(m),m}}const E$=nde();function A1(){return A1=Object.assign?Object.assign.bind():function(e){for(var t=1;t<arguments.length;t++){var n=arguments[t];for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(e[r]=n[r])}return e},A1.apply(this,arguments)}var A$={exports:{}},$t={};/** @license React v16.13.1
+ * react-is.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var mr=typeof Symbol=="function"&&Symbol.for,ET=mr?Symbol.for("react.element"):60103,AT=mr?Symbol.for("react.portal"):60106,lb=mr?Symbol.for("react.fragment"):60107,ub=mr?Symbol.for("react.strict_mode"):60108,cb=mr?Symbol.for("react.profiler"):60114,db=mr?Symbol.for("react.provider"):60109,fb=mr?Symbol.for("react.context"):60110,PT=mr?Symbol.for("react.async_mode"):60111,hb=mr?Symbol.for("react.concurrent_mode"):60111,pb=mr?Symbol.for("react.forward_ref"):60112,gb=mr?Symbol.for("react.suspense"):60113,rde=mr?Symbol.for("react.suspense_list"):60120,mb=mr?Symbol.for("react.memo"):60115,yb=mr?Symbol.for("react.lazy"):60116,ide=mr?Symbol.for("react.block"):60121,ode=mr?Symbol.for("react.fundamental"):60117,sde=mr?Symbol.for("react.responder"):60118,ade=mr?Symbol.for("react.scope"):60119;function Zi(e){if(typeof e=="object"&&e!==null){var t=e.$$typeof;switch(t){case ET:switch(e=e.type,e){case PT:case hb:case lb:case cb:case ub:case gb:return e;default:switch(e=e&&e.$$typeof,e){case fb:case pb:case yb:case mb:case db:return e;default:return t}}case AT:return t}}}function P$(e){return Zi(e)===hb}$t.AsyncMode=PT;$t.ConcurrentMode=hb;$t.ContextConsumer=fb;$t.ContextProvider=db;$t.Element=ET;$t.ForwardRef=pb;$t.Fragment=lb;$t.Lazy=yb;$t.Memo=mb;$t.Portal=AT;$t.Profiler=cb;$t.StrictMode=ub;$t.Suspense=gb;$t.isAsyncMode=function(e){return P$(e)||Zi(e)===PT};$t.isConcurrentMode=P$;$t.isContextConsumer=function(e){return Zi(e)===fb};$t.isContextProvider=function(e){return Zi(e)===db};$t.isElement=function(e){return typeof e=="object"&&e!==null&&e.$$typeof===ET};$t.isForwardRef=function(e){return Zi(e)===pb};$t.isFragment=function(e){return Zi(e)===lb};$t.isLazy=function(e){return Zi(e)===yb};$t.isMemo=function(e){return Zi(e)===mb};$t.isPortal=function(e){return Zi(e)===AT};$t.isProfiler=function(e){return Zi(e)===cb};$t.isStrictMode=function(e){return Zi(e)===ub};$t.isSuspense=function(e){return Zi(e)===gb};$t.isValidElementType=function(e){return typeof e=="string"||typeof e=="function"||e===lb||e===hb||e===cb||e===ub||e===gb||e===rde||typeof e=="object"&&e!==null&&(e.$$typeof===yb||e.$$typeof===mb||e.$$typeof===db||e.$$typeof===fb||e.$$typeof===pb||e.$$typeof===ode||e.$$typeof===sde||e.$$typeof===ade||e.$$typeof===ide)};$t.typeOf=Zi;A$.exports=$t;var lde=A$.exports,R$=lde,ude={$$typeof:!0,render:!0,defaultProps:!0,displayName:!0,propTypes:!0},cde={$$typeof:!0,compare:!0,defaultProps:!0,displayName:!0,propTypes:!0,type:!0},O$={};O$[R$.ForwardRef]=ude;O$[R$.Memo]=cde;var Vt={};/**
+ * @license React
+ * react-is.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
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0?arguments[1]:{ns:["translation"],defaultNS:"translation"};super(),this.data=t||{},this.options=n,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.options.ignoreJSONStructure===void 0&&(this.options.ignoreJSONStructure=!0)}addNamespaces(t){this.options.ns.indexOf(t)<0&&this.options.ns.push(t)}removeNamespaces(t){const n=this.options.ns.indexOf(t);n>-1&&this.options.ns.splice(n,1)}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};const o=i.keySeparator!==void 0?i.keySeparator:this.options.keySeparator,s=i.ignoreJSONStructure!==void 0?i.ignoreJSONStructure:this.options.ignoreJSONStructure;let a=[t,n];r&&typeof r!="string"&&(a=a.concat(r)),r&&typeof r=="string"&&(a=a.concat(o?r.split(o):r)),t.indexOf(".")>-1&&(a=t.split("."));const l=W1(this.data,a);return l||!s||typeof r!="string"?l:q1(this.data&&this.data[t]&&this.data[t][n],r,o)}addResource(t,n,r,i){let o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:{silent:!1};const 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0}getResourceBundle(t,n){return n||(n=this.options.defaultNS),this.options.compatibilityAPI==="v1"?{...this.getResource(t,n)}:this.getResource(t,n)}getDataByLanguage(t){return this.data[t]}hasLanguageSomeTranslations(t){const n=this.getDataByLanguage(t);return!!(n&&Object.keys(n)||[]).find(i=>n[i]&&Object.keys(n[i]).length>0)}toJSON(){return this.data}}var wU={processors:{},addPostProcessor(e){this.processors[e.name]=e},handle(e,t,n,r,i){return e.forEach(o=>{this.processors[o]&&(t=this.processors[o].process(t,n,r,i))}),t}};const yO={};class X1 extends eS{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};super(),Kve(["resourceStore","languageUtils","pluralResolver","interpolator","backendConnector","i18nFormat","utils"],t,this),this.options=n,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.logger=Cs.create("translator")}changeLanguage(t){t&&(this.language=t)}exists(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}};if(t==null)return!1;const r=this.resolve(t,n);return r&&r.res!==void 0}extractFromKey(t,n){let r=n.nsSeparator!==void 0?n.nsSeparator:this.options.nsSeparator;r===void 0&&(r=":");const i=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator;let o=n.ns||this.options.defaultNS||[];const s=r&&t.indexOf(r)>-1,a=!this.options.userDefinedKeySeparator&&!n.keySeparator&&!this.options.userDefinedNsSeparator&&!n.nsSeparator&&!e1e(t,r,i);if(s&&!a){const l=t.match(this.interpolator.nestingRegexp);if(l&&l.length>0)return{key:t,namespaces:o};const u=t.split(r);(r!==i||r===i&&this.options.ns.indexOf(u[0])>-1)&&(o=u.shift()),t=u.join(i)}return typeof o=="string"&&(o=[o]),{key:t,namespaces:o}}translate(t,n,r){if(typeof n!="object"&&this.options.overloadTranslationOptionHandler&&(n=this.options.overloadTranslationOptionHandler(arguments)),typeof n=="object"&&(n={...n}),n||(n={}),t==null)return"";Array.isArray(t)||(t=[String(t)]);const i=n.returnDetails!==void 0?n.returnDetails:this.options.returnDetails,o=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator,{key:s,namespaces:a}=this.extractFromKey(t[t.length-1],n),l=a[a.length-1],u=n.lng||this.language,d=n.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(u&&u.toLowerCase()==="cimode"){if(d){const S=n.nsSeparator||this.options.nsSeparator;return i?{res:`${l}${S}${s}`,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:`${l}${S}${s}`}return i?{res:s,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:s}const f=this.resolve(t,n);let p=f&&f.res;const g=f&&f.usedKey||s,m=f&&f.exactUsedKey||s,v=Object.prototype.toString.apply(p),x=["[object Number]","[object Function]","[object RegExp]"],_=n.joinArrays!==void 0?n.joinArrays:this.options.joinArrays,b=!this.i18nFormat||this.i18nFormat.handleAsObject;if(b&&p&&(typeof p!="string"&&typeof p!="boolean"&&typeof p!="number")&&x.indexOf(v)<0&&!(typeof _=="string"&&v==="[object Array]")){if(!n.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const S=this.options.returnedObjectHandler?this.options.returnedObjectHandler(g,p,{...n,ns:a}):`key '${s} (${this.language})' returned an object instead of string.`;return i?(f.res=S,f):S}if(o){const S=v==="[object Array]",C=S?[]:{},T=S?m:g;for(const E in p)if(Object.prototype.hasOwnProperty.call(p,E)){const P=`${T}${o}${E}`;C[E]=this.translate(P,{...n,joinArrays:!1,ns:a}),C[E]===P&&(C[E]=p[E])}p=C}}else if(b&&typeof _=="string"&&v==="[object Array]")p=p.join(_),p&&(p=this.extendTranslation(p,t,n,r));else{let S=!1,C=!1;const T=n.count!==void 0&&typeof n.count!="string",E=X1.hasDefaultValue(n),P=T?this.pluralResolver.getSuffix(u,n.count,n):"",k=n.ordinal&&T?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",O=n[`defaultValue${P}`]||n[`defaultValue${k}`]||n.defaultValue;!this.isValidLookup(p)&&E&&(S=!0,p=O),this.isValidLookup(p)||(C=!0,p=s);const G=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&C?void 0:p,U=E&&O!==p&&this.options.updateMissing;if(C||S||U){if(this.logger.log(U?"updateKey":"missingKey",u,l,s,U?O:p),o){const B=this.resolve(s,{...n,keySeparator:!1});B&&B.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let A=[];const N=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&N&&N[0])for(let B=0;B<N.length;B++)A.push(N[B]);else this.options.saveMissingTo==="all"?A=this.languageUtils.toResolveHierarchy(n.lng||this.language):A.push(n.lng||this.language);const F=(B,D,V)=>{const j=E&&V!==p?V:G;this.options.missingKeyHandler?this.options.missingKeyHandler(B,l,D,j,U,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(B,l,D,j,U,n),this.emit("missingKey",B,l,D,p)};this.options.saveMissing&&(this.options.saveMissingPlurals&&T?A.forEach(B=>{this.pluralResolver.getSuffixes(B,n).forEach(D=>{F([B],s+D,n[`defaultValue${D}`]||O)})}):F(A,s,O))}p=this.extendTranslation(p,t,n,f,r),C&&p===s&&this.options.appendNamespaceToMissingKey&&(p=`${l}:${s}`),(C||S)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?p=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,S?p:void 0):p=this.options.parseMissingKeyHandler(p))}return i?(f.res=p,f):p}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let d;if(u){const p=t.match(this.interpolator.nestingRegexp);d=p&&p.length}let f=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(f={...this.options.interpolation.defaultVariables,...f}),t=this.interpolator.interpolate(t,f,r.lng||this.language,r),u){const p=t.match(this.interpolator.nestingRegexp),g=p&&p.length;d<g&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var p=arguments.length,g=new Array(p),m=0;m<p;m++)g[m]=arguments[m];return o&&o[0]===g[0]&&!r.context?(s.logger.warn(`It seems you are nesting recursively key: ${g[0]} in key: ${n[0]}`),null):s.translate(...g,n)},r)),r.interpolation&&this.interpolator.reset()}const a=r.postProcess||this.options.postProcess,l=typeof a=="string"?[a]:a;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=wU.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),d=u.key;i=d;let f=u.namespaces;this.options.fallbackNS&&(f=f.concat(this.options.fallbackNS));const p=n.count!==void 0&&typeof n.count!="string",g=p&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),m=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",v=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);f.forEach(x=>{this.isValidLookup(r)||(a=x,!yO[`${v[0]}-${x}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(yO[`${v[0]}-${x}`]=!0,this.logger.warn(`key "${i}" for languages "${v.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. 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Wait for the callback or Promise to resolve before accessing it!!!")),v.forEach(_=>{if(this.isValidLookup(r))return;s=_;const b=[d];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(b,d,_,x,n);else{let S;p&&(S=this.pluralResolver.getSuffix(_,n.count,n));const C=`${this.options.pluralSeparator}zero`,T=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(p&&(b.push(d+S),n.ordinal&&S.indexOf(T)===0&&b.push(d+S.replace(T,this.options.pluralSeparator)),g&&b.push(d+C)),m){const E=`${d}${this.options.contextSeparator}${n.context}`;b.push(E),p&&(b.push(E+S),n.ordinal&&S.indexOf(T)===0&&b.push(E+S.replace(T,this.options.pluralSeparator)),g&&b.push(E+C))}}let y;for(;y=b.pop();)this.isValidLookup(r)||(o=y,r=this.getResource(_,x,y,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:s,usedNS:a}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function Rx(e){return e.charAt(0).toUpperCase()+e.slice(1)}class vO{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=Cs.create("languageUtils")}getScriptPartFromCode(t){if(t=K1(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=K1(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Rx(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Rx(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=Rx(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let t1e=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],n1e={1:function(e){return+(e>1)},2:function(e){return+(e!=1)},3:function(e){return 0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const r1e=["v1","v2","v3"],i1e=["v4"],_O={zero:0,one:1,two:2,few:3,many:4,other:5};function o1e(){const e={};return t1e.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:n1e[t.fc]}})}),e}class s1e{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=Cs.create("pluralResolver"),(!this.options.compatibilityJSON||i1e.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. Will fallback to the compatibilityJSON v3 format handling.")),this.rules=o1e()}addRule(t,n){this.rules[t]=n}getRule(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(this.shouldUseIntlApi())try{return new Intl.PluralRules(K1(t),{type:n.ordinal?"ordinal":"cardinal"})}catch{return}return this.rules[t]||this.rules[this.languageUtils.getLanguagePartFromCode(t)]}needsPlural(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return this.shouldUseIntlApi()?r&&r.resolvedOptions().pluralCategories.length>1:r&&r.numbers.length>1}getPluralFormsOfKey(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};return this.getSuffixes(t,r).map(i=>`${n}${i}`)}getSuffixes(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>_O[i]-_O[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof i=="number"?`_plural_${i.toString()}`:o():this.options.compatibilityJSON==="v2"||this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1?o():this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString()}shouldUseIntlApi(){return!r1e.includes(this.options.compatibilityJSON)}}function bO(e,t,n){let r=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=Yve(e,t,n);return!o&&i&&typeof n=="string"&&(o=q1(e,n,r),o===void 0&&(o=q1(t,n,r))),o}class a1e{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Cs.create("interpolator"),this.options=t,this.format=t.interpolation&&t.interpolation.format||(n=>n),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const n=t.interpolation;this.escape=n.escape!==void 0?n.escape:Zve,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?ld(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?ld(n.suffix):n.suffixEscaped||"}}",this.formatSeparator=n.formatSeparator?n.formatSeparator:n.formatSeparator||",",this.unescapePrefix=n.unescapeSuffix?"":n.unescapePrefix||"-",this.unescapeSuffix=this.unescapePrefix?"":n.unescapeSuffix||"",this.nestingPrefix=n.nestingPrefix?ld(n.nestingPrefix):n.nestingPrefixEscaped||ld("$t("),this.nestingSuffix=n.nestingSuffix?ld(n.nestingSuffix):n.nestingSuffixEscaped||ld(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${this.prefix}(.+?)${this.suffix}`;this.regexp=new RegExp(t,"g");const n=`${this.prefix}${this.unescapePrefix}(.+?)${this.unescapeSuffix}${this.suffix}`;this.regexpUnescape=new RegExp(n,"g");const r=`${this.nestingPrefix}(.+?)${this.nestingSuffix}`;this.nestingRegexp=new RegExp(r,"g")}interpolate(t,n,r,i){let o,s,a;const l=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{};function u(m){return m.replace(/\$/g,"$$$$")}const d=m=>{if(m.indexOf(this.formatSeparator)<0){const b=bO(n,l,m,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(b,void 0,r,{...i,...n,interpolationkey:m}):b}const v=m.split(this.formatSeparator),x=v.shift().trim(),_=v.join(this.formatSeparator).trim();return this.format(bO(n,l,x,this.options.keySeparator,this.options.ignoreJSONStructure),_,r,{...i,...n,interpolationkey:x})};this.resetRegExp();const f=i&&i.missingInterpolationHandler||this.options.missingInterpolationHandler,p=i&&i.interpolation&&i.interpolation.skipOnVariables!==void 0?i.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:m=>u(m)},{regex:this.regexp,safeValue:m=>this.escapeValue?u(this.escape(m)):u(m)}].forEach(m=>{for(a=0;o=m.regex.exec(t);){const v=o[1].trim();if(s=d(v),s===void 0)if(typeof f=="function"){const _=f(t,o,i);s=typeof _=="string"?_:""}else if(i&&Object.prototype.hasOwnProperty.call(i,v))s="";else if(p){s=o[0];continue}else this.logger.warn(`missed to pass in variable ${v} for interpolating ${t}`),s="";else typeof s!="string"&&!this.useRawValueToEscape&&(s=pO(s));const x=m.safeValue(s);if(t=t.replace(o[0],x),p?(m.regex.lastIndex+=s.length,m.regex.lastIndex-=o[0].length):m.regex.lastIndex=0,a++,a>=this.maxReplaces)break}}),t}nest(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i,o,s;function a(l,u){const d=this.nestingOptionsSeparator;if(l.indexOf(d)<0)return l;const f=l.split(new RegExp(`${d}[ ]*{`));let p=`{${f[1]}`;l=f[0],p=this.interpolate(p,s);const g=p.match(/'/g),m=p.match(/"/g);(g&&g.length%2===0&&!m||m.length%2!==0)&&(p=p.replace(/'/g,'"'));try{s=JSON.parse(p),u&&(s={...u,...s})}catch(v){return this.logger.warn(`failed parsing options string in nesting for key ${l}`,v),`${l}${d}${p}`}return delete s.defaultValue,l}for(;i=this.nestingRegexp.exec(t);){let l=[];s={...r},s=s.replace&&typeof s.replace!="string"?s.replace:s,s.applyPostProcessor=!1,delete s.defaultValue;let u=!1;if(i[0].indexOf(this.formatSeparator)!==-1&&!/{.*}/.test(i[1])){const d=i[1].split(this.formatSeparator).map(f=>f.trim());i[1]=d.shift(),l=d,u=!0}if(o=n(a.call(this,i[1].trim(),s),s),o&&i[0]===t&&typeof o!="string")return o;typeof o!="string"&&(o=pO(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((d,f)=>this.format(d,f,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function l1e(e){let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[a.trim()]||(n[a.trim()]=u),u==="false"&&(n[a.trim()]=!1),u==="true"&&(n[a.trim()]=!0),isNaN(u)||(n[a.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function ud(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(K1(i),o),t[s]=a),a(r)}}class u1e{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Cs.create("formatter"),this.options=t,this.formats={number:ud((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:ud((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return o=>i.format(o)}),datetime:ud((n,r)=>{const i=new Intl.DateTimeFormat(n,{...r});return o=>i.format(o)}),relativetime:ud((n,r)=>{const i=new Intl.RelativeTimeFormat(n,{...r});return o=>i.format(o,r.range||"day")}),list:ud((n,r)=>{const i=new Intl.ListFormat(n,{...r});return o=>i.format(o)})},this.init(t)}init(t){const r=(arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}}).interpolation;this.formatSeparator=r.formatSeparator?r.formatSeparator:r.formatSeparator||","}add(t,n){this.formats[t.toLowerCase().trim()]=n}addCached(t,n){this.formats[t.toLowerCase().trim()]=ud(n)}format(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return n.split(this.formatSeparator).reduce((a,l)=>{const{formatName:u,formatOptions:d}=l1e(l);if(this.formats[u]){let f=a;try{const p=i&&i.formatParams&&i.formatParams[i.interpolationkey]||{},g=p.locale||p.lng||i.locale||i.lng||r;f=this.formats[u](a,g,{...d,...i,...p})}catch(p){this.logger.warn(p)}return f}else this.logger.warn(`there was no format function for ${u}`);return a},t)}}function c1e(e,t){e.pending[t]!==void 0&&(delete e.pending[t],e.pendingCount--)}class d1e extends eS{constructor(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};super(),this.backend=t,this.store=n,this.services=r,this.languageUtils=r.languageUtils,this.options=i,this.logger=Cs.create("backendConnector"),this.waitingReads=[],this.maxParallelReads=i.maxParallelReads||10,this.readingCalls=0,this.maxRetries=i.maxRetries>=0?i.maxRetries:5,this.retryTimeout=i.retryTimeout>=1?i.retryTimeout:350,this.state={},this.queue=[],this.backend&&this.backend.init&&this.backend.init(r,i.backend,i)}queueLoad(t,n,r,i){const o={},s={},a={},l={};return t.forEach(u=>{let d=!0;n.forEach(f=>{const p=`${u}|${f}`;!r.reload&&this.store.hasResourceBundle(u,f)?this.state[p]=2:this.state[p]<0||(this.state[p]===1?s[p]===void 0&&(s[p]=!0):(this.state[p]=1,d=!1,s[p]===void 0&&(s[p]=!0),o[p]===void 0&&(o[p]=!0),l[f]===void 0&&(l[f]=!0)))}),d||(a[u]=!0)}),(Object.keys(o).length||Object.keys(s).length)&&this.queue.push({pending:s,pendingCount:Object.keys(s).length,loaded:{},errors:[],callback:i}),{toLoad:Object.keys(o),pending:Object.keys(s),toLoadLanguages:Object.keys(a),toLoadNamespaces:Object.keys(l)}}loaded(t,n,r){const i=t.split("|"),o=i[0],s=i[1];n&&this.emit("failedLoading",o,s,n),r&&this.store.addResourceBundle(o,s,r),this.state[t]=n?-1:2;const a={};this.queue.forEach(l=>{Xve(l.loaded,[o],s),c1e(l,t),n&&l.errors.push(n),l.pendingCount===0&&!l.done&&(Object.keys(l.loaded).forEach(u=>{a[u]||(a[u]={});const d=l.loaded[u];d.length&&d.forEach(f=>{a[u][f]===void 0&&(a[u][f]=!0)})}),l.done=!0,l.errors.length?l.callback(l.errors):l.callback())}),this.emit("loaded",a),this.queue=this.queue.filter(l=>!l.done)}read(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:0,o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:this.retryTimeout,s=arguments.length>5?arguments[5]:void 0;if(!t.length)return s(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:t,ns:n,fcName:r,tried:i,wait:o,callback:s});return}this.readingCalls++;const a=(u,d)=>{if(this.readingCalls--,this.waitingReads.length>0){const f=this.waitingReads.shift();this.read(f.lng,f.ns,f.fcName,f.tried,f.wait,f.callback)}if(u&&d&&i<this.maxRetries){setTimeout(()=>{this.read.call(this,t,n,r,i+1,o*2,s)},o);return}s(u,d)},l=this.backend[r].bind(this.backend);if(l.length===2){try{const u=l(t,n);u&&typeof u.then=="function"?u.then(d=>a(null,d)).catch(a):a(null,u)}catch(u){a(u)}return}return l(t,n,a)}prepareLoading(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i=arguments.length>3?arguments[3]:void 0;if(!this.backend)return this.logger.warn("No backend was added via i18next.use. Will not load resources."),i&&i();typeof t=="string"&&(t=this.languageUtils.toResolveHierarchy(t)),typeof n=="string"&&(n=[n]);const o=this.queueLoad(t,n,r,i);if(!o.toLoad.length)return o.pending.length||i(),null;o.toLoad.forEach(s=>{this.loadOne(s)})}load(t,n,r){this.prepareLoading(t,n,{},r)}reload(t,n,r){this.prepareLoading(t,n,{reload:!0},r)}loadOne(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:"";const r=t.split("|"),i=r[0],o=r[1];this.read(i,o,"read",void 0,void 0,(s,a)=>{s&&this.logger.warn(`${n}loading namespace ${o} for language ${i} failed`,s),!s&&a&&this.logger.log(`${n}loaded namespace ${o} for language ${i}`,a),this.loaded(t,s,a)})}saveMissing(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{},a=arguments.length>6&&arguments[6]!==void 0?arguments[6]:()=>{};if(this.services.utils&&this.services.utils.hasLoadedNamespace&&!this.services.utils.hasLoadedNamespace(n)){this.logger.warn(`did not save key "${r}" as the namespace "${n}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...s,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let d;u.length===5?d=u(t,n,r,i,l):d=u(t,n,r,i),d&&typeof d.then=="function"?d.then(f=>a(null,f)).catch(a):a(null,d)}catch(d){a(d)}else u(t,n,r,i,a,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function SO(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function wO(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function R0(){}function f1e(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class Mg extends eS{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=wO(t),this.services={},this.logger=Cs,this.modules={external:[]},f1e(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=SO();this.options={...i,...this.options,...wO(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(d){return d?typeof d=="function"?new d:d:null}if(!this.options.isClone){this.modules.logger?Cs.init(o(this.modules.logger),this.options):Cs.init(null,this.options);let d;this.modules.formatter?d=this.modules.formatter:typeof Intl<"u"&&(d=u1e);const f=new vO(this.options);this.store=new mO(this.options.resources,this.options);const p=this.services;p.logger=Cs,p.resourceStore=this.store,p.languageUtils=f,p.pluralResolver=new s1e(f,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),d&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(p.formatter=o(d),p.formatter.init(p,this.options),this.options.interpolation.format=p.formatter.format.bind(p.formatter)),p.interpolator=new a1e(this.options),p.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},p.backendConnector=new d1e(o(this.modules.backend),p.resourceStore,p,this.options),p.backendConnector.on("*",function(g){for(var m=arguments.length,v=new Array(m>1?m-1:0),x=1;x<m;x++)v[x-1]=arguments[x];t.emit(g,...v)}),this.modules.languageDetector&&(p.languageDetector=o(this.modules.languageDetector),p.languageDetector.init&&p.languageDetector.init(p,this.options.detection,this.options)),this.modules.i18nFormat&&(p.i18nFormat=o(this.modules.i18nFormat),p.i18nFormat.init&&p.i18nFormat.init(this)),this.translator=new X1(this.services,this.options),this.translator.on("*",function(g){for(var m=arguments.length,v=new Array(m>1?m-1:0),x=1;x<m;x++)v[x-1]=arguments[x];t.emit(g,...v)}),this.modules.external.forEach(g=>{g.init&&g.init(this)})}if(this.format=this.options.interpolation.format,r||(r=R0),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const d=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);d.length>0&&d[0]!=="dev"&&(this.options.lng=d[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is defined"),["getResource","hasResourceBundle","getResourceBundle","getDataByLanguage"].forEach(d=>{this[d]=function(){return t.store[d](...arguments)}}),["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(d=>{this[d]=function(){return t.store[d](...arguments),t}});const l=Xh(),u=()=>{const d=(f,p)=>{this.isInitialized&&!this.initializedStoreOnce&&this.logger.warn("init: i18next is already initialized. You should call init just once!"),this.isInitialized=!0,this.options.isClone||this.logger.log("initialized",this.options),this.emit("initialized",this.options),l.resolve(p),r(f,p)};if(this.languages&&this.options.compatibilityAPI!=="v1"&&!this.isInitialized)return d(null,this.t.bind(this));this.changeLanguage(this.options.lng,d)};return this.options.resources||!this.options.initImmediate?u():setTimeout(u,0),l}loadResources(t){let r=arguments.length>1&&arguments[1]!==void 0?arguments[1]:R0;const i=typeof t=="string"?t:this.language;if(typeof t=="function"&&(r=t),!this.options.resources||this.options.partialBundledLanguages){if(i&&i.toLowerCase()==="cimode")return r();const o=[],s=a=>{if(!a)return;this.services.languageUtils.toResolveHierarchy(a).forEach(u=>{o.indexOf(u)<0&&o.push(u)})};i?s(i):this.services.languageUtils.getFallbackCodes(this.options.fallbackLng).forEach(l=>s(l)),this.options.preload&&this.options.preload.forEach(a=>s(a)),this.services.backendConnector.load(o,this.options.ns,a=>{!a&&!this.resolvedLanguage&&this.language&&this.setResolvedLanguage(this.language),r(a)})}else r(null)}reloadResources(t,n,r){const i=Xh();return t||(t=this.languages),n||(n=this.options.ns),r||(r=R0),this.services.backendConnector.reload(t,n,o=>{i.resolve(),r(o)}),i}use(t){if(!t)throw new Error("You are passing an undefined module! Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&wU.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1))for(let n=0;n<this.languages.length;n++){const r=this.languages[n];if(!(["cimode","dev"].indexOf(r)>-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=Xh();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,d=>{s(d,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,d=new Array(u>2?u-2:0),f=2;f<u;f++)d[f-2]=arguments[f];l=i.options.overloadTranslationOptionHandler([s,a].concat(d))}else l={...a};l.lng=l.lng||o.lng,l.lngs=l.lngs||o.lngs,l.ns=l.ns||o.ns,l.keyPrefix=l.keyPrefix||r||o.keyPrefix;const p=i.options.keySeparator||".";let g;return l.keyPrefix&&Array.isArray(s)?g=s.map(m=>`${l.keyPrefix}${p}${m}`):g=l.keyPrefix?`${l.keyPrefix}${p}${s}`:s,i.t(g,l)};return typeof t=="string"?o.lng=t:o.lngs=t,o.ns=n,o.keyPrefix=r,o}t(){return this.translator&&this.translator.translate(...arguments)}exists(){return this.translator&&this.translator.exists(...arguments)}setDefaultNamespace(t){this.options.defaultNS=t}hasLoadedNamespace(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(!this.isInitialized)return this.logger.warn("hasLoadedNamespace: i18next was not initialized",this.languages),!1;if(!this.languages||!this.languages.length)return this.logger.warn("hasLoadedNamespace: i18n.languages were undefined or empty",this.languages),!1;const r=n.lng||this.resolvedLanguage||this.languages[0],i=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(r.toLowerCase()==="cimode")return!0;const s=(a,l)=>{const u=this.services.backendConnector.state[`${a}|${l}`];return u===-1||u===2};if(n.precheck){const a=n.precheck(this,s);if(a!==void 0)return a}return!!(this.hasResourceBundle(r,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||s(r,t)&&(!i||s(o,t)))}loadNamespaces(t,n){const r=Xh();return this.options.ns?(typeof t=="string"&&(t=[t]),t.forEach(i=>{this.options.ns.indexOf(i)<0&&this.options.ns.push(i)}),this.loadResources(i=>{r.resolve(),n&&n(i)}),r):(n&&n(),Promise.resolve())}loadLanguages(t,n){const r=Xh();typeof t=="string"&&(t=[t]);const i=this.options.preload||[],o=t.filter(s=>i.indexOf(s)<0);return o.length?(this.options.preload=i.concat(o),this.loadResources(s=>{r.resolve(),n&&n(s)}),r):(n&&n(),Promise.resolve())}dir(t){if(t||(t=this.resolvedLanguage||(this.languages&&this.languages.length>0?this.languages[0]:this.language)),!t)return"rtl";const n=["ar","shu","sqr","ssh","xaa","yhd","yud","aao","abh","abv","acm","acq","acw","acx","acy","adf","ads","aeb","aec","afb","ajp","apc","apd","arb","arq","ars","ary","arz","auz","avl","ayh","ayl","ayn","ayp","bbz","pga","he","iw","ps","pbt","pbu","pst","prp","prd","ug","ur","ydd","yds","yih","ji","yi","hbo","men","xmn","fa","jpr","peo","pes","prs","dv","sam","ckb"],r=this.services&&this.services.languageUtils||new vO(SO());return n.indexOf(r.getLanguagePartFromCode(t))>-1||t.toLowerCase().indexOf("-arab")>1?"rtl":"ltr"}static createInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;return new Mg(t,n)}cloneInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:R0;const r=t.forkResourceStore;r&&delete t.forkResourceStore;const i={...this.options,...t,isClone:!0},o=new Mg(i);return(t.debug!==void 0||t.prefix!==void 0)&&(o.logger=o.logger.clone(t)),["store","services","language"].forEach(a=>{o[a]=this[a]}),o.services={...this.services},o.services.utils={hasLoadedNamespace:o.hasLoadedNamespace.bind(o)},r&&(o.store=new mO(this.store.data,i),o.services.resourceStore=o.store),o.translator=new X1(o.services,i),o.translator.on("*",function(a){for(var l=arguments.length,u=new Array(l>1?l-1:0),d=1;d<l;d++)u[d-1]=arguments[d];o.emit(a,...u)}),o.init(i,n),o.translator.options=i,o.translator.backendConnector.services.utils={hasLoadedNamespace:o.hasLoadedNamespace.bind(o)},o}toJSON(){return{options:this.options,store:this.store,language:this.language,languages:this.languages,resolvedLanguage:this.resolvedLanguage}}}const Kr=Mg.createInstance();Kr.createInstance=Mg.createInstance;Kr.createInstance;Kr.dir;Kr.init;Kr.loadResources;Kr.reloadResources;Kr.use;Kr.changeLanguage;Kr.getFixedT;const Pp=Kr.t;Kr.exists;Kr.setDefaultNamespace;Kr.hasLoadedNamespace;Kr.loadNamespaces;Kr.loadLanguages;const Xu=e=>typeof e=="string"?{title:e,status:"info",isClosable:!0,duration:2500}:{status:"info",isClosable:!0,duration:2500,...e},xU={isConnected:!1,isProcessing:!1,isGFPGANAvailable:!0,isESRGANAvailable:!0,shouldConfirmOnDelete:!0,currentStep:0,totalSteps:0,currentIteration:0,totalIterations:0,currentStatusHasSteps:!1,isCancelable:!0,enableImageDebugging:!1,toastQueue:[],progressImage:null,shouldAntialiasProgressImage:!1,sessionId:null,cancelType:"immediate",isCancelScheduled:!1,subscribedNodeIds:[],wereModelsReceived:!1,wasSchemaParsed:!1,consoleLogLevel:"debug",shouldLogToConsole:!0,statusTranslationKey:"common.statusDisconnected",canceledSession:"",isPersisted:!1,language:"en",isUploading:!1,isNodesEnabled:!1,shouldUseNSFWChecker:!1,shouldUseWatermarker:!1},CU=yn({name:"system",initialState:xU,reducers:{setIsProcessing:(e,t)=>{e.isProcessing=t.payload},setCurrentStatus:(e,t)=>{e.statusTranslationKey=t.payload},setShouldConfirmOnDelete:(e,t)=>{e.shouldConfirmOnDelete=t.payload},setIsCancelable:(e,t)=>{e.isCancelable=t.payload},setEnableImageDebugging:(e,t)=>{e.enableImageDebugging=t.payload},addToast:(e,t)=>{e.toastQueue.push(t.payload)},clearToastQueue:e=>{e.toastQueue=[]},cancelScheduled:e=>{e.isCancelScheduled=!0},scheduledCancelAborted:e=>{e.isCancelScheduled=!1},cancelTypeChanged:(e,t)=>{e.cancelType=t.payload},subscribedNodeIdsSet:(e,t)=>{e.subscribedNodeIds=t.payload},consoleLogLevelChanged:(e,t)=>{e.consoleLogLevel=t.payload},shouldLogToConsoleChanged:(e,t)=>{e.shouldLogToConsole=t.payload},shouldAntialiasProgressImageChanged:(e,t)=>{e.shouldAntialiasProgressImage=t.payload},isPersistedChanged:(e,t)=>{e.isPersisted=t.payload},languageChanged:(e,t)=>{e.language=t.payload},progressImageSet(e,t){e.progressImage=t.payload},setIsNodesEnabled(e,t){e.isNodesEnabled=t.payload},shouldUseNSFWCheckerChanged(e,t){e.shouldUseNSFWChecker=t.payload},shouldUseWatermarkerChanged(e,t){e.shouldUseWatermarker=t.payload}},extraReducers(e){e.addCase(K$,(t,n)=>{t.sessionId=n.payload.sessionId,t.canceledSession=""}),e.addCase(Y$,t=>{t.sessionId=null}),e.addCase(H$,t=>{t.isConnected=!0,t.isCancelable=!0,t.isProcessing=!1,t.currentStatusHasSteps=!1,t.currentStep=0,t.totalSteps=0,t.currentIteration=0,t.totalIterations=0,t.statusTranslationKey="common.statusConnected"}),e.addCase(q$,t=>{t.isConnected=!1,t.isProcessing=!1,t.isCancelable=!0,t.currentStatusHasSteps=!1,t.currentStep=0,t.totalSteps=0,t.statusTranslationKey="common.statusDisconnected"}),e.addCase(Z$,t=>{t.isCancelable=!0,t.isProcessing=!0,t.currentStatusHasSteps=!1,t.currentStep=0,t.totalSteps=0,t.statusTranslationKey="common.statusGenerating"}),e.addCase(iF,(t,n)=>{const{step:r,total_steps:i,progress_image:o}=n.payload.data;t.isProcessing=!0,t.isCancelable=!0,t.currentStatusHasSteps=!0,t.currentStep=r+1,t.totalSteps=i,t.progressImage=o??null,t.statusTranslationKey="common.statusGenerating"}),e.addCase(J$,(t,n)=>{const{data:r}=n.payload;t.currentStatusHasSteps=!1,t.currentStep=0,t.totalSteps=0,t.statusTranslationKey="common.statusProcessingComplete",t.canceledSession===r.graph_execution_state_id&&(t.isProcessing=!1,t.isCancelable=!0)}),e.addCase(nF,t=>{t.isProcessing=!1,t.isCancelable=!1,t.isCancelScheduled=!1,t.currentStep=0,t.totalSteps=0,t.statusTranslationKey="common.statusConnected",t.progressImage=null}),e.addCase(Em,t=>{t.isProcessing=!0,t.isCancelable=!0,t.currentStatusHasSteps=!1,t.statusTranslationKey="common.statusPreparing"}),e.addCase(mc.fulfilled,(t,n)=>{t.canceledSession=n.meta.arg.session_id,t.isProcessing=!1,t.isCancelable=!1,t.isCancelScheduled=!1,t.currentStep=0,t.totalSteps=0,t.statusTranslationKey="common.statusConnected",t.progressImage=null,t.toastQueue.push(Xu({title:Pp("toast.canceled"),status:"warning"}))}),e.addCase(oE,t=>{t.wasSchemaParsed=!0}),e.addMatcher(i$,(t,n)=>{var r;t.isProcessing=!1,t.isCancelable=!1,t.isCancelScheduled=!1,t.currentStep=0,t.totalSteps=0,t.statusTranslationKey="common.statusConnected",t.progressImage=null,t.toastQueue.push(Xu({title:Pp("toast.serverError"),status:"error",description:((r=n.payload)==null?void 0:r.status)===422?"Validation Error":void 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zO=",",CSe="(",TSe=")",ESe="([",ASe="])",PSe=";",RSe="()",OSe="=",VO=["arc","arcTo","beginPath","bezierCurveTo","clearRect","clip","closePath","createLinearGradient","createPattern","createRadialGradient","drawImage","ellipse","fill","fillText","getImageData","createImageData","lineTo","moveTo","putImageData","quadraticCurveTo","rect","restore","rotate","save","scale","setLineDash","setTransform","stroke","strokeText","transform","translate"],kSe=["fillStyle","strokeStyle","shadowColor","shadowBlur","shadowOffsetX","shadowOffsetY","lineCap","lineDashOffset","lineJoin","lineWidth","miterLimit","font","textAlign","textBaseline","globalAlpha","globalCompositeOperation","imageSmoothingEnabled"];const ISe=100;class 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this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,s){return this._context.createRadialGradient(t,n,r,i,o,s)}drawImage(t,n,r,i,o,s,a,l,u){var d=arguments,f=this._context;d.length===3?f.drawImage(t,n,r):d.length===5?f.drawImage(t,n,r,i,o):d.length===9&&f.drawImage(t,n,r,i,o,s,a,l,u)}ellipse(t,n,r,i,o,s,a,l){this._context.ellipse(t,n,r,i,o,s,a,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return this._context.getImageData(t,n,r,i)}lineTo(t,n){this._context.lineTo(t,n)}moveTo(t,n){this._context.moveTo(t,n)}rect(t,n,r,i){this._context.rect(t,n,r,i)}putImageData(t,n,r){this._context.putImageData(t,n,r)}quadraticCurveTo(t,n,r,i){this._context.quadraticCurveTo(t,n,r,i)}restore(){this._context.restore()}rotate(t){this._context.rotate(t)}save(){this._context.save()}scale(t,n){this._context.scale(t,n)}setLineDash(t){this._context.setLineDash?this._context.setLineDash(t):"mozDash"in this._context?this._context.mozDash=t:"webkitLineDash"in this._context&&(this._context.webkitLineDash=t)}getLineDash(){return this._context.getLineDash()}setTransform(t,n,r,i,o,s){this._context.setTransform(t,n,r,i,o,s)}stroke(t){t?this._context.stroke(t):this._context.stroke()}strokeText(t,n,r,i){this._context.strokeText(t,n,r,i)}transform(t,n,r,i,o,s){this._context.transform(t,n,r,i,o,s)}translate(t,n){this._context.translate(t,n)}_enableTrace(){var t=this,n=VO.length,r=this.setAttr,i,o,s=function(a){var 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n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",s=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,a=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),d=l.x*u,f=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",s*Math.min(Math.abs(d),Math.abs(f))),this.setAttr("shadowOffsetX",a.x*d),this.setAttr("shadowOffsetY",a.y*f)}}ba.SceneContext=MSe;class NSe extends iS{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}ba.HitContext=NSe;Object.defineProperty(Qo,"__esModule",{value:!0});Qo.HitCanvas=Qo.SceneCanvas=Qo.Canvas=void 0;const J1=Sn,KU=ba,XU=rt,LSe=nt,DSe=ke;var M0;function $Se(){if(M0)return M0;var e=J1.Util.createCanvasElement(),t=e.getContext("2d");return M0=function(){var n=XU.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),J1.Util.releaseCanvas(e),M0}class oS{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||XU.Konva.pixelRatio||$Se();this.pixelRatio=r,this._canvas=J1.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return J1.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}Qo.Canvas=oS;LSe.Factory.addGetterSetter(oS,"pixelRatio",void 0,(0,DSe.getNumberValidator)());class FSe extends oS{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new KU.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}Qo.SceneCanvas=FSe;class BSe extends oS{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new KU.HitContext(this),this.setSize(t.width,t.height)}}Qo.HitCanvas=BSe;var sS={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=rt,n=Sn;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(p=>p.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var d=a.dragDistance(),f=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(f<d||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(d=>d.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(sS);Object.defineProperty(fn,"__esModule",{value:!0});fn.Node=void 0;const ct=Sn,Am=nt,N0=Qo,wu=rt,uo=sS,Ln=ke;var _v="absoluteOpacity",L0="allEventListeners",la="absoluteTransform",jO="absoluteScale",xu="canvas",USe="Change",zSe="children",VSe="konva",i5="listening",GO="mouseenter",HO="mouseleave",WO="set",qO="Shape",bv=" ",KO="stage",sl="transform",jSe="Stage",o5="visible",GSe=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(bv);let HSe=1;class ze{constructor(t){this._id=HSe++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===sl||t===la)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===sl||t===la,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(bv);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(xu)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===la&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(xu)){const{scene:t,filter:n,hit:r}=this._cache.get(xu);ct.Util.releaseCanvas(t,n,r),this._cache.delete(xu)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,d=n.drawBorder||!1,f=n.hitCanvasPixelRatio||1;if(!i||!o){ct.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var p=new N0.SceneCanvas({pixelRatio:s,width:i,height:o}),g=new N0.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),m=new N0.HitCanvas({pixelRatio:f,width:i,height:o}),v=p.getContext(),x=m.getContext();return m.isCache=!0,p.isCache=!0,this._cache.delete(xu),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(p.getContext()._context.imageSmoothingEnabled=!1,g.getContext()._context.imageSmoothingEnabled=!1),v.save(),x.save(),v.translate(-a,-l),x.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(_v),this._clearSelfAndDescendantCache(jO),this.drawScene(p,this),this.drawHit(m,this),this._isUnderCache=!1,v.restore(),x.restore(),d&&(v.save(),v.beginPath(),v.rect(0,0,i,o),v.closePath(),v.setAttr("strokeStyle","red"),v.setAttr("lineWidth",5),v.stroke(),v.restore()),this._cache.set(xu,{scene:p,filter:g,hit:m,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(xu)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var d=l.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var d=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/d,r.getHeight()/d),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){ct.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(f){ct.Util.error("Unable to apply filter. "+f.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(L0),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(bv),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(bv),i=r.length,o,s,a,l,u,d;if(this._cache&&this._cache.delete(L0),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],d=l[1],u)this.eventListeners[u]&&this._off(u,d,n);else for(s in this.eventListeners)this._off(s,d,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=ct.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),uo.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(la),this._clearSelfAndDescendantCache(_v),this._clearSelfAndDescendantCache(jO),this._clearSelfAndDescendantCache(KO),this._clearSelfAndDescendantCache(o5),this._clearSelfAndDescendantCache(i5)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+ct.Util._capitalize(t);return ct.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==zSe&&(r=WO+ct.Util._capitalize(n),ct.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(i5,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(o5,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;uo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!wu.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==qO&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==jSe&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(sl),this._clearSelfAndDescendantCache(la)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new ct.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(sl);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(sl),this._clearSelfAndDescendantCache(la),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return ct.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return ct.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return ct.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return ct.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return ct.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&ct.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(_v,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=ct.Util.isObject(i)&&!ct.Util._isPlainObject(i)&&!ct.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),ct.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],ct.Util.isValidSelector(o)||(ct.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),ct.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),ct.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(KO,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(la,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new ct.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(la)||new ct.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(sl,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(sl)||new ct.Transform;r.reset();var i=this.x(),o=this.y(),s=wu.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,d=this.attrs.skewY||0,f=this.attrs.offsetX||0,p=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||d!==0)&&r.skew(u,d),(a!==1||l!==1)&&r.scale(a,l),(f!==0||p!==0)&&r.translate(-1*f,-1*p),r.dirty=!1,r}clone(t){var n=ct.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(VSe)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new N0.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,ct.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():wu.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+USe,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[WO+ct.Util._capitalize(t)];return ct.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(wu.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!ct.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===qO&&(n.target=this);var i=(t===GO||t===HO)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===GO||t===HO)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(L0))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(L0,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;uo.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){uo.DD._dragElements.has(this._id)||this._createDragElement(t);const r=uo.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:ct.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=uo.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),uo.DD._endDragBefore(t),uo.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=uo.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||wu.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;uo.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=uo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&uo.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return ct.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return ct.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=ze.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),wu.Konva[r]||(ct.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=wu.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(ze._createNode(i[a]));return o}}fn.Node=ze;ze.prototype.nodeType="Node";ze.prototype._attrsAffectingSize=[];ze.prototype.eventListeners={};ze.prototype.on.call(ze.prototype,GSe,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(sl),this._clearSelfAndDescendantCache(la)});ze.prototype.on.call(ze.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(o5)});ze.prototype.on.call(ze.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(i5)});ze.prototype.on.call(ze.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(_v)});const Kt=Am.Factory.addGetterSetter;Kt(ze,"zIndex");Kt(ze,"absolutePosition");Kt(ze,"position");Kt(ze,"x",0,(0,Ln.getNumberValidator)());Kt(ze,"y",0,(0,Ln.getNumberValidator)());Kt(ze,"globalCompositeOperation","source-over",(0,Ln.getStringValidator)());Kt(ze,"opacity",1,(0,Ln.getNumberValidator)());Kt(ze,"name","",(0,Ln.getStringValidator)());Kt(ze,"id","",(0,Ln.getStringValidator)());Kt(ze,"rotation",0,(0,Ln.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"scale",["x","y"]);Kt(ze,"scaleX",1,(0,Ln.getNumberValidator)());Kt(ze,"scaleY",1,(0,Ln.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"skew",["x","y"]);Kt(ze,"skewX",0,(0,Ln.getNumberValidator)());Kt(ze,"skewY",0,(0,Ln.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"offset",["x","y"]);Kt(ze,"offsetX",0,(0,Ln.getNumberValidator)());Kt(ze,"offsetY",0,(0,Ln.getNumberValidator)());Kt(ze,"dragDistance",null,(0,Ln.getNumberValidator)());Kt(ze,"width",0,(0,Ln.getNumberValidator)());Kt(ze,"height",0,(0,Ln.getNumberValidator)());Kt(ze,"listening",!0,(0,Ln.getBooleanValidator)());Kt(ze,"preventDefault",!0,(0,Ln.getBooleanValidator)());Kt(ze,"filters",null,function(e){return this._filterUpToDate=!1,e});Kt(ze,"visible",!0,(0,Ln.getBooleanValidator)());Kt(ze,"transformsEnabled","all",(0,Ln.getStringValidator)());Kt(ze,"size");Kt(ze,"dragBoundFunc");Kt(ze,"draggable",!1,(0,Ln.getBooleanValidator)());Am.Factory.backCompat(ze,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var vc={};Object.defineProperty(vc,"__esModule",{value:!0});vc.Container=void 0;const zf=nt,Lx=fn,aS=ke;class _c extends Lx.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=Lx.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=Lx.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const d=r===this;if(u){o.save();var f=this.getAbsoluteTransform(r),p=f.getMatrix();o.transform(p[0],p[1],p[2],p[3],p[4],p[5]),o.beginPath();let x;if(l)x=l.call(this,o,this);else{var g=this.clipX(),m=this.clipY();o.rect(g,m,s,a)}o.clip.apply(o,x),p=f.copy().invert().getMatrix(),o.transform(p[0],p[1],p[2],p[3],p[4],p[5])}var v=!d&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";v&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(x){x[t](n,r)}),v&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},d=this;(n=this.children)===null||n===void 0||n.forEach(function(v){if(v.visible()){var x=v.getClientRect({relativeTo:d,skipShadow:t.skipShadow,skipStroke:t.skipStroke});x.width===0&&x.height===0||(o===void 0?(o=x.x,s=x.y,a=x.x+x.width,l=x.y+x.height):(o=Math.min(o,x.x),s=Math.min(s,x.y),a=Math.max(a,x.x+x.width),l=Math.max(l,x.y+x.height)))}});for(var f=this.find("Shape"),p=!1,g=0;g<f.length;g++){var m=f[g];if(m._isVisible(this)){p=!0;break}}return p&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}vc.Container=_c;zf.Factory.addComponentsGetterSetter(_c,"clip",["x","y","width","height"]);zf.Factory.addGetterSetter(_c,"clipX",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipY",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipWidth",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipHeight",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipFunc");var YU={},Vi={};Object.defineProperty(Vi,"__esModule",{value:!0});Vi.releaseCapture=Vi.setPointerCapture=Vi.hasPointerCapture=Vi.createEvent=Vi.getCapturedShape=void 0;const WSe=rt,Lg=new Map,QU=WSe.Konva._global.PointerEvent!==void 0;function qSe(e){return Lg.get(e)}Vi.getCapturedShape=qSe;function vE(e){return{evt:e,pointerId:e.pointerId}}Vi.createEvent=vE;function KSe(e,t){return Lg.get(e)===t}Vi.hasPointerCapture=KSe;function XSe(e,t){ZU(e),t.getStage()&&(Lg.set(e,t),QU&&t._fire("gotpointercapture",vE(new PointerEvent("gotpointercapture"))))}Vi.setPointerCapture=XSe;function ZU(e,t){const n=Lg.get(e);if(!n)return;const r=n.getStage();r&&r.content,Lg.delete(e),QU&&n._fire("lostpointercapture",vE(new PointerEvent("lostpointercapture")))}Vi.releaseCapture=ZU;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=Sn,n=nt,r=vc,i=rt,o=Qo,s=sS,a=rt,l=Vi;var u="Stage",d="string",f="px",p="mouseout",g="mouseleave",m="mouseover",v="mouseenter",x="mousemove",_="mousedown",b="mouseup",y="pointermove",S="pointerdown",C="pointerup",T="pointercancel",E="lostpointercapture",P="pointerout",k="pointerleave",O="pointerover",M="pointerenter",G="contextmenu",U="touchstart",A="touchend",N="touchmove",F="touchcancel",B="wheel",D=5,V=[[v,"_pointerenter"],[_,"_pointerdown"],[x,"_pointermove"],[b,"_pointerup"],[g,"_pointerleave"],[U,"_pointerdown"],[N,"_pointermove"],[A,"_pointerup"],[F,"_pointercancel"],[m,"_pointerover"],[B,"_wheel"],[G,"_contextmenu"],[S,"_pointerdown"],[y,"_pointermove"],[C,"_pointerup"],[T,"_pointercancel"],[E,"_lostpointercapture"]];const j={mouse:{[P]:p,[k]:g,[O]:m,[M]:v,[y]:x,[S]:_,[C]:b,[T]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[P]:"touchout",[k]:"touchleave",[O]:"touchover",[M]:"touchenter",[y]:N,[S]:U,[C]:A,[T]:F,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[P]:P,[k]:k,[O]:O,[M]:M,[y]:y,[S]:S,[C]:C,[T]:T,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},q=le=>le.indexOf("pointer")>=0?"pointer":le.indexOf("touch")>=0?"touch":"mouse",Z=le=>{const W=q(le);if(W==="pointer")return i.Konva.pointerEventsEnabled&&j.pointer;if(W==="touch")return j.touch;if(W==="mouse")return j.mouse};function ee(le={}){return(le.clipFunc||le.clipWidth||le.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),le}const ie="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class se extends r.Container{constructor(W){super(ee(W)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{ee(this.attrs)}),this._checkVisibility()}_validateAdd(W){const ne=W.getType()==="Layer",fe=W.getType()==="FastLayer";ne||fe||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const W=this.visible()?"":"none";this.content.style.display=W}setContainer(W){if(typeof W===d){if(W.charAt(0)==="."){var ne=W.slice(1);W=document.getElementsByClassName(ne)[0]}else{var fe;W.charAt(0)!=="#"?fe=W:fe=W.slice(1),W=document.getElementById(fe)}if(!W)throw"Can not find container in document with id "+fe}return this._setAttr("container",W),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),W.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var W=this.children,ne=W.length,fe;for(fe=0;fe<ne;fe++)W[fe].clear();return this}clone(W){return W||(W={}),W.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,W)}destroy(){super.destroy();var W=this.content;W&&t.Util._isInDocument(W)&&this.container().removeChild(W);var ne=e.stages.indexOf(this);return ne>-1&&e.stages.splice(ne,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const W=this._pointerPositions[0]||this._changedPointerPositions[0];return W?{x:W.x,y:W.y}:(t.Util.warn(ie),null)}_getPointerById(W){return this._pointerPositions.find(ne=>ne.id===W)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(W){W=W||{},W.x=W.x||0,W.y=W.y||0,W.width=W.width||this.width(),W.height=W.height||this.height();var ne=new o.SceneCanvas({width:W.width,height:W.height,pixelRatio:W.pixelRatio||1}),fe=ne.getContext()._context,pe=this.children;return(W.x||W.y)&&fe.translate(-1*W.x,-1*W.y),pe.forEach(function(ve){if(ve.isVisible()){var ye=ve._toKonvaCanvas(W);fe.drawImage(ye._canvas,W.x,W.y,ye.getWidth()/ye.getPixelRatio(),ye.getHeight()/ye.getPixelRatio())}}),ne}getIntersection(W){if(!W)return null;var ne=this.children,fe=ne.length,pe=fe-1,ve;for(ve=pe;ve>=0;ve--){const ye=ne[ve].getIntersection(W);if(ye)return ye}return null}_resizeDOM(){var W=this.width(),ne=this.height();this.content&&(this.content.style.width=W+f,this.content.style.height=ne+f),this.bufferCanvas.setSize(W,ne),this.bufferHitCanvas.setSize(W,ne),this.children.forEach(fe=>{fe.setSize({width:W,height:ne}),fe.draw()})}add(W,...ne){if(arguments.length>1){for(var fe=0;fe<arguments.length;fe++)this.add(arguments[fe]);return this}super.add(W);var pe=this.children.length;return pe>D&&t.Util.warn("The stage has "+pe+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),W.setSize({width:this.width(),height:this.height()}),W.draw(),i.Konva.isBrowser&&this.content.appendChild(W.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(W){return l.hasPointerCapture(W,this)}setPointerCapture(W){l.setPointerCapture(W,this)}releaseCapture(W){l.releaseCapture(W,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&V.forEach(([W,ne])=>{this.content.addEventListener(W,fe=>{this[ne](fe)},{passive:!1})})}_pointerenter(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerenter,{evt:W,target:this,currentTarget:this})}_pointerover(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this})}_getTargetShape(W){let ne=this[W+"targetShape"];return ne&&!ne.getStage()&&(ne=null),ne}_pointerleave(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=this._getTargetShape(fe),ve=!s.DD.isDragging||i.Konva.hitOnDragEnabled;pe&&ve?(pe._fireAndBubble(ne.pointerout,{evt:W}),pe._fireAndBubble(ne.pointerleave,{evt:W}),this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this[fe+"targetShape"]=null):ve&&(this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this._fire(ne.pointerout,{evt:W,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=!1;this._changedPointerPositions.forEach(ve=>{var ye=this.getIntersection(ve);if(s.DD.justDragged=!1,i.Konva["_"+fe+"ListenClick"]=!0,!(ye&&ye.isListening()))return;i.Konva.capturePointerEventsEnabled&&ye.setPointerCapture(ve.id),this[fe+"ClickStartShape"]=ye,ye._fireAndBubble(ne.pointerdown,{evt:W,pointerId:ve.id}),pe=!0;const Me=W.type.indexOf("touch")>=0;ye.preventDefault()&&W.cancelable&&Me&&W.preventDefault()}),pe||this._fire(ne.pointerdown,{evt:W,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;s.DD.isDragging&&s.DD.node.preventDefault()&&W.cancelable&&W.preventDefault(),this.setPointersPositions(W);var pe=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!pe)return;var ve={};let ye=!1;var We=this._getTargetShape(fe);this._changedPointerPositions.forEach(Me=>{const Ee=l.getCapturedShape(Me.id)||this.getIntersection(Me),lt=Me.id,_e={evt:W,pointerId:lt};var jt=We!==Ee;if(jt&&We&&(We._fireAndBubble(ne.pointerout,Object.assign({},_e),Ee),We._fireAndBubble(ne.pointerleave,Object.assign({},_e),Ee)),Ee){if(ve[Ee._id])return;ve[Ee._id]=!0}Ee&&Ee.isListening()?(ye=!0,jt&&(Ee._fireAndBubble(ne.pointerover,Object.assign({},_e),We),Ee._fireAndBubble(ne.pointerenter,Object.assign({},_e),We),this[fe+"targetShape"]=Ee),Ee._fireAndBubble(ne.pointermove,Object.assign({},_e))):We&&(this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this,pointerId:lt}),this[fe+"targetShape"]=null)}),ye||this._fire(ne.pointermove,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;this.setPointersPositions(W);const pe=this[fe+"ClickStartShape"],ve=this[fe+"ClickEndShape"];var ye={};let We=!1;this._changedPointerPositions.forEach(Me=>{const Ee=l.getCapturedShape(Me.id)||this.getIntersection(Me);if(Ee){if(Ee.releaseCapture(Me.id),ye[Ee._id])return;ye[Ee._id]=!0}const lt=Me.id,_e={evt:W,pointerId:lt};let jt=!1;i.Konva["_"+fe+"InDblClickWindow"]?(jt=!0,clearTimeout(this[fe+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+fe+"InDblClickWindow"]=!0,clearTimeout(this[fe+"DblTimeout"])),this[fe+"DblTimeout"]=setTimeout(function(){i.Konva["_"+fe+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),Ee&&Ee.isListening()?(We=!0,this[fe+"ClickEndShape"]=Ee,Ee._fireAndBubble(ne.pointerup,Object.assign({},_e)),i.Konva["_"+fe+"ListenClick"]&&pe&&pe===Ee&&(Ee._fireAndBubble(ne.pointerclick,Object.assign({},_e)),jt&&ve&&ve===Ee&&Ee._fireAndBubble(ne.pointerdblclick,Object.assign({},_e)))):(this[fe+"ClickEndShape"]=null,i.Konva["_"+fe+"ListenClick"]&&this._fire(ne.pointerclick,{evt:W,target:this,currentTarget:this,pointerId:lt}),jt&&this._fire(ne.pointerdblclick,{evt:W,target:this,currentTarget:this,pointerId:lt}))}),We||this._fire(ne.pointerup,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+fe+"ListenClick"]=!1,W.cancelable&&fe!=="touch"&&W.preventDefault()}_contextmenu(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(G,{evt:W}):this._fire(G,{evt:W,target:this,currentTarget:this})}_wheel(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(B,{evt:W}):this._fire(B,{evt:W,target:this,currentTarget:this})}_pointercancel(W){this.setPointersPositions(W);const ne=l.getCapturedShape(W.pointerId)||this.getIntersection(this.getPointerPosition());ne&&ne._fireAndBubble(C,l.createEvent(W)),l.releaseCapture(W.pointerId)}_lostpointercapture(W){l.releaseCapture(W.pointerId)}setPointersPositions(W){var ne=this._getContentPosition(),fe=null,pe=null;W=W||window.event,W.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(W.touches,ve=>{this._pointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})}),Array.prototype.forEach.call(W.changedTouches||W.touches,ve=>{this._changedPointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})})):(fe=(W.clientX-ne.left)/ne.scaleX,pe=(W.clientY-ne.top)/ne.scaleY,this.pointerPos={x:fe,y:pe},this._pointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}],this._changedPointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}])}_setPointerPosition(W){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(W)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var W=this.content.getBoundingClientRect();return{top:W.top,left:W.left,scaleX:W.width/this.content.clientWidth||1,scaleY:W.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var W=this.container();if(!W)throw"Stage has no container. A container is required.";W.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),W.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(W){W.batchDraw()}),this}}e.Stage=se,se.prototype.nodeType=u,(0,a._registerNode)(se),n.Factory.addGetterSetter(se,"container")})(YU);var Pm={},rr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=rt,n=Sn,r=nt,i=fn,o=ke,s=rt,a=Vi;var l="hasShadow",u="shadowRGBA",d="patternImage",f="linearGradient",p="radialGradient";let g;function m(){return g||(g=n.Util.createCanvasElement().getContext("2d"),g)}e.shapes={};function v(k){const O=this.attrs.fillRule;O?k.fill(O):k.fill()}function x(k){k.stroke()}function _(k){k.fill()}function b(k){k.stroke()}function y(){this._clearCache(l)}function S(){this._clearCache(u)}function C(){this._clearCache(d)}function T(){this._clearCache(f)}function E(){this._clearCache(p)}class P extends i.Node{constructor(O){super(O);let M;for(;M=n.Util.getRandomColor(),!(M&&!(M in e.shapes)););this.colorKey=M,e.shapes[M]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(d,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var O=m();const M=O.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(M&&M.setTransform){const G=new n.Transform;G.translate(this.fillPatternX(),this.fillPatternY()),G.rotate(t.Konva.getAngle(this.fillPatternRotation())),G.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),G.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const U=G.getMatrix(),A=typeof DOMMatrix>"u"?{a:U[0],b:U[1],c:U[2],d:U[3],e:U[4],f:U[5]}:new DOMMatrix(U);M.setTransform(A)}return M}}_getLinearGradient(){return this._getCache(f,this.__getLinearGradient)}__getLinearGradient(){var O=this.fillLinearGradientColorStops();if(O){for(var M=m(),G=this.fillLinearGradientStartPoint(),U=this.fillLinearGradientEndPoint(),A=M.createLinearGradient(G.x,G.y,U.x,U.y),N=0;N<O.length;N+=2)A.addColorStop(O[N],O[N+1]);return A}}_getRadialGradient(){return this._getCache(p,this.__getRadialGradient)}__getRadialGradient(){var O=this.fillRadialGradientColorStops();if(O){for(var M=m(),G=this.fillRadialGradientStartPoint(),U=this.fillRadialGradientEndPoint(),A=M.createRadialGradient(G.x,G.y,this.fillRadialGradientStartRadius(),U.x,U.y,this.fillRadialGradientEndRadius()),N=0;N<O.length;N+=2)A.addColorStop(O[N],O[N+1]);return A}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var O=n.Util.colorToRGBA(this.shadowColor());if(O)return"rgba("+O.r+","+O.g+","+O.b+","+O.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const O=this.hitStrokeWidth();return O==="auto"?this.hasStroke():this.strokeEnabled()&&!!O}intersects(O){var M=this.getStage(),G=M.bufferHitCanvas,U;return G.getContext().clear(),this.drawHit(G,null,!0),U=G.context.getImageData(Math.round(O.x),Math.round(O.y),1,1).data,U[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(O){var M;if(!this.getStage()||!((M=this.attrs.perfectDrawEnabled)!==null&&M!==void 0?M:!0))return!1;const U=O||this.hasFill(),A=this.hasStroke(),N=this.getAbsoluteOpacity()!==1;if(U&&A&&N)return!0;const F=this.hasShadow(),B=this.shadowForStrokeEnabled();return!!(U&&A&&F&&B)}setStrokeHitEnabled(O){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),O?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var O=this.size();return{x:this._centroid?-O.width/2:0,y:this._centroid?-O.height/2:0,width:O.width,height:O.height}}getClientRect(O={}){const M=O.skipTransform,G=O.relativeTo,U=this.getSelfRect(),N=!O.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,F=U.width+N,B=U.height+N,D=!O.skipShadow&&this.hasShadow(),V=D?this.shadowOffsetX():0,j=D?this.shadowOffsetY():0,q=F+Math.abs(V),Z=B+Math.abs(j),ee=D&&this.shadowBlur()||0,ie=q+ee*2,se=Z+ee*2,le={width:ie,height:se,x:-(N/2+ee)+Math.min(V,0)+U.x,y:-(N/2+ee)+Math.min(j,0)+U.y};return M?le:this._transformedRect(le,G)}drawScene(O,M){var G=this.getLayer(),U=O||G.getCanvas(),A=U.getContext(),N=this._getCanvasCache(),F=this.getSceneFunc(),B=this.hasShadow(),D,V,j,q=U.isCache,Z=M===this;if(!this.isVisible()&&!Z)return this;if(N){A.save();var ee=this.getAbsoluteTransform(M).getMatrix();return A.transform(ee[0],ee[1],ee[2],ee[3],ee[4],ee[5]),this._drawCachedSceneCanvas(A),A.restore(),this}if(!F)return this;if(A.save(),this._useBufferCanvas()&&!q){D=this.getStage(),V=D.bufferCanvas,j=V.getContext(),j.clear(),j.save(),j._applyLineJoin(this);var ie=this.getAbsoluteTransform(M).getMatrix();j.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),F.call(this,j,this),j.restore();var se=V.pixelRatio;B&&A._applyShadow(this),A._applyOpacity(this),A._applyGlobalCompositeOperation(this),A.drawImage(V._canvas,0,0,V.width/se,V.height/se)}else{if(A._applyLineJoin(this),!Z){var ie=this.getAbsoluteTransform(M).getMatrix();A.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),A._applyOpacity(this),A._applyGlobalCompositeOperation(this)}B&&A._applyShadow(this),F.call(this,A,this)}return A.restore(),this}drawHit(O,M,G=!1){if(!this.shouldDrawHit(M,G))return this;var U=this.getLayer(),A=O||U.hitCanvas,N=A&&A.getContext(),F=this.hitFunc()||this.sceneFunc(),B=this._getCanvasCache(),D=B&&B.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),D){N.save();var V=this.getAbsoluteTransform(M).getMatrix();return N.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedHitCanvas(N),N.restore(),this}if(!F)return this;if(N.save(),N._applyLineJoin(this),!(this===M)){var q=this.getAbsoluteTransform(M).getMatrix();N.transform(q[0],q[1],q[2],q[3],q[4],q[5])}return F.call(this,N,this),N.restore(),this}drawHitFromCache(O=0){var M=this._getCanvasCache(),G=this._getCachedSceneCanvas(),U=M.hit,A=U.getContext(),N=U.getWidth(),F=U.getHeight(),B,D,V,j,q,Z;A.clear(),A.drawImage(G._canvas,0,0,N,F);try{for(B=A.getImageData(0,0,N,F),D=B.data,V=D.length,j=n.Util._hexToRgb(this.colorKey),q=0;q<V;q+=4)Z=D[q+3],Z>O?(D[q]=j.r,D[q+1]=j.g,D[q+2]=j.b,D[q+3]=255):D[q+3]=0;A.putImageData(B,0,0)}catch(ee){n.Util.error("Unable to draw hit graph from cached scene canvas. "+ee.message)}return this}hasPointerCapture(O){return a.hasPointerCapture(O,this)}setPointerCapture(O){a.setPointerCapture(O,this)}releaseCapture(O){a.releaseCapture(O,this)}}e.Shape=P,P.prototype._fillFunc=v,P.prototype._strokeFunc=x,P.prototype._fillFuncHit=_,P.prototype._strokeFuncHit=b,P.prototype._centroid=!1,P.prototype.nodeType="Shape",(0,s._registerNode)(P),P.prototype.eventListeners={},P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",y),P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",S),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",C),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",T),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",E),r.Factory.addGetterSetter(P,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(P,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(P,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"lineJoin"),r.Factory.addGetterSetter(P,"lineCap"),r.Factory.addGetterSetter(P,"sceneFunc"),r.Factory.addGetterSetter(P,"hitFunc"),r.Factory.addGetterSetter(P,"dash"),r.Factory.addGetterSetter(P,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(P,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(P,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternImage"),r.Factory.addGetterSetter(P,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(P,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(P,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(P,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(P,"fillEnabled",!0),r.Factory.addGetterSetter(P,"strokeEnabled",!0),r.Factory.addGetterSetter(P,"shadowEnabled",!0),r.Factory.addGetterSetter(P,"dashEnabled",!0),r.Factory.addGetterSetter(P,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(P,"fillPriority","color"),r.Factory.addComponentsGetterSetter(P,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(P,"fillPatternRotation",0),r.Factory.addGetterSetter(P,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(P,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(rr);Object.defineProperty(Pm,"__esModule",{value:!0});Pm.Layer=void 0;const ia=Sn,Dx=vc,hd=fn,_E=nt,XO=Qo,YSe=ke,QSe=rr,ZSe=rt;var JSe="#",e2e="beforeDraw",t2e="draw",JU=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],n2e=JU.length;class Vf extends Dx.Container{constructor(t){super(t),this.canvas=new XO.SceneCanvas,this.hitCanvas=new XO.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){hd.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=hd.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(hd.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(hd.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return hd.Node.prototype.remove.call(this),t&&t.parentNode&&ia.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&ia.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),hd.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){ia.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){ia.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,ia.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<n2e;i++){const o=JU[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=ia.Util._rgbToHex(r[0],r[1],r[2]),s=QSe.shapes[JSe+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(e2e,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),Dx.Container.prototype.drawScene.call(this,i,n),this._fire(t2e,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),Dx.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){ia.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return ia.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return ia.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Pm.Layer=Vf;Vf.prototype.nodeType="Layer";(0,ZSe._registerNode)(Vf);_E.Factory.addGetterSetter(Vf,"imageSmoothingEnabled",!0);_E.Factory.addGetterSetter(Vf,"clearBeforeDraw",!0);_E.Factory.addGetterSetter(Vf,"hitGraphEnabled",!0,(0,YSe.getBooleanValidator)());var lS={};Object.defineProperty(lS,"__esModule",{value:!0});lS.FastLayer=void 0;const r2e=Sn,i2e=Pm,o2e=rt;class bE extends i2e.Layer{constructor(t){super(t),this.listening(!1),r2e.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}lS.FastLayer=bE;bE.prototype.nodeType="FastLayer";(0,o2e._registerNode)(bE);var jf={};Object.defineProperty(jf,"__esModule",{value:!0});jf.Group=void 0;const s2e=Sn,a2e=vc,l2e=rt;class SE extends a2e.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&s2e.Util.throw("You may only add groups and shapes to groups.")}}jf.Group=SE;SE.prototype.nodeType="Group";(0,l2e._registerNode)(SE);var Gf={};Object.defineProperty(Gf,"__esModule",{value:!0});Gf.Animation=void 0;const $x=rt,YO=Sn;var Fx=function(){return $x.glob.performance&&$x.glob.performance.now?function(){return $x.glob.performance.now()}:function(){return new Date().getTime()}}();class ws{constructor(t,n){this.id=ws.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Fx(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=ws,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=Fx(),ws._addAnimation(this),this}stop(){return ws._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,d,f;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(Fx()),l=i.length,o?f=o.call(r,r.frame)!==!1:f=!0,!!f)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(d in t)t.hasOwnProperty(d)&&t[d].batchDraw()}static _animationLoop(){var t=ws;t.animations.length?(t._runFrames(),YO.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,YO.Util.requestAnimFrame(this._animationLoop))}}Gf.Animation=ws;ws.animations=[];ws.animIdCounter=0;ws.animRunning=!1;var ez={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=Sn,n=Gf,r=fn,i=rt;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,d=["fill","stroke","shadowColor"];class f{constructor(m,v,x,_,b,y,S){this.prop=m,this.propFunc=v,this.begin=_,this._pos=_,this.duration=y,this._change=0,this.prevPos=0,this.yoyo=S,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=x,this._change=b-this.begin,this.pause()}fire(m){var v=this[m];v&&v()}setTime(m){m>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():m<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=m,this.update())}getTime(){return this._time}setPosition(m){this.prevPos=this._pos,this.propFunc(m),this._pos=m}getPosition(m){return m===void 0&&(m=this._time),this.func(m,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(m){this.pause(),this._time=m,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var m=this.getTimer()-this._startTime;this.state===a?this.setTime(m):this.state===l&&this.setTime(this.duration-m)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class p{constructor(m){var v=this,x=m.node,_=x._id,b,y=m.easing||e.Easings.Linear,S=!!m.yoyo,C;typeof m.duration>"u"?b=.3:m.duration===0?b=.001:b=m.duration,this.node=x,this._id=u++;var T=x.getLayer()||(x instanceof i.Konva.Stage?x.getLayers():null);T||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){v.tween.onEnterFrame()},T),this.tween=new f(C,function(E){v._tweenFunc(E)},y,0,1,b*1e3,S),this._addListeners(),p.attrs[_]||(p.attrs[_]={}),p.attrs[_][this._id]||(p.attrs[_][this._id]={}),p.tweens[_]||(p.tweens[_]={});for(C in m)o[C]===void 0&&this._addAttr(C,m[C]);this.reset(),this.onFinish=m.onFinish,this.onReset=m.onReset,this.onUpdate=m.onUpdate}_addAttr(m,v){var x=this.node,_=x._id,b,y,S,C,T,E,P,k;if(S=p.tweens[_][m],S&&delete p.attrs[_][S][m],b=x.getAttr(m),t.Util._isArray(v))if(y=[],T=Math.max(v.length,b.length),m==="points"&&v.length!==b.length&&(v.length>b.length?(P=b,b=t.Util._prepareArrayForTween(b,v,x.closed())):(E=v,v=t.Util._prepareArrayForTween(v,b,x.closed()))),m.indexOf("fill")===0)for(C=0;C<T;C++)if(C%2===0)y.push(v[C]-b[C]);else{var O=t.Util.colorToRGBA(b[C]);k=t.Util.colorToRGBA(v[C]),b[C]=O,y.push({r:k.r-O.r,g:k.g-O.g,b:k.b-O.b,a:k.a-O.a})}else for(C=0;C<T;C++)y.push(v[C]-b[C]);else d.indexOf(m)!==-1?(b=t.Util.colorToRGBA(b),k=t.Util.colorToRGBA(v),y={r:k.r-b.r,g:k.g-b.g,b:k.b-b.b,a:k.a-b.a}):y=v-b;p.attrs[_][this._id][m]={start:b,diff:y,end:v,trueEnd:E,trueStart:P},p.tweens[_][m]=this._id}_tweenFunc(m){var v=this.node,x=p.attrs[v._id][this._id],_,b,y,S,C,T,E,P;for(_ in x){if(b=x[_],y=b.start,S=b.diff,P=b.end,t.Util._isArray(y))if(C=[],E=Math.max(y.length,P.length),_.indexOf("fill")===0)for(T=0;T<E;T++)T%2===0?C.push((y[T]||0)+S[T]*m):C.push("rgba("+Math.round(y[T].r+S[T].r*m)+","+Math.round(y[T].g+S[T].g*m)+","+Math.round(y[T].b+S[T].b*m)+","+(y[T].a+S[T].a*m)+")");else for(T=0;T<E;T++)C.push((y[T]||0)+S[T]*m);else d.indexOf(_)!==-1?C="rgba("+Math.round(y.r+S.r*m)+","+Math.round(y.g+S.g*m)+","+Math.round(y.b+S.b*m)+","+(y.a+S.a*m)+")":C=y+S*m;v.setAttr(_,C)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var m=this.node,v=p.attrs[m._id][this._id];v.points&&v.points.trueEnd&&m.setAttr("points",v.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var m=this.node,v=p.attrs[m._id][this._id];v.points&&v.points.trueStart&&m.points(v.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(m){return this.tween.seek(m*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var m=this.node._id,v=this._id,x=p.tweens[m],_;this.pause();for(_ in x)delete p.tweens[m][_];delete p.attrs[m][v]}}e.Tween=p,p.attrs={},p.tweens={},r.Node.prototype.to=function(g){var m=g.onFinish;g.node=this,g.onFinish=function(){this.destroy(),m&&m()};var v=new p(g);v.play()},e.Easings={BackEaseIn(g,m,v,x){var _=1.70158;return v*(g/=x)*g*((_+1)*g-_)+m},BackEaseOut(g,m,v,x){var _=1.70158;return v*((g=g/x-1)*g*((_+1)*g+_)+1)+m},BackEaseInOut(g,m,v,x){var _=1.70158;return(g/=x/2)<1?v/2*(g*g*(((_*=1.525)+1)*g-_))+m:v/2*((g-=2)*g*(((_*=1.525)+1)*g+_)+2)+m},ElasticEaseIn(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x)===1?m+v:(b||(b=x*.3),!_||_<Math.abs(v)?(_=v,y=b/4):y=b/(2*Math.PI)*Math.asin(v/_),-(_*Math.pow(2,10*(g-=1))*Math.sin((g*x-y)*(2*Math.PI)/b))+m)},ElasticEaseOut(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x)===1?m+v:(b||(b=x*.3),!_||_<Math.abs(v)?(_=v,y=b/4):y=b/(2*Math.PI)*Math.asin(v/_),_*Math.pow(2,-10*g)*Math.sin((g*x-y)*(2*Math.PI)/b)+v+m)},ElasticEaseInOut(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x/2)===2?m+v:(b||(b=x*(.3*1.5)),!_||_<Math.abs(v)?(_=v,y=b/4):y=b/(2*Math.PI)*Math.asin(v/_),g<1?-.5*(_*Math.pow(2,10*(g-=1))*Math.sin((g*x-y)*(2*Math.PI)/b))+m:_*Math.pow(2,-10*(g-=1))*Math.sin((g*x-y)*(2*Math.PI)/b)*.5+v+m)},BounceEaseOut(g,m,v,x){return(g/=x)<1/2.75?v*(7.5625*g*g)+m:g<2/2.75?v*(7.5625*(g-=1.5/2.75)*g+.75)+m:g<2.5/2.75?v*(7.5625*(g-=2.25/2.75)*g+.9375)+m:v*(7.5625*(g-=2.625/2.75)*g+.984375)+m},BounceEaseIn(g,m,v,x){return v-e.Easings.BounceEaseOut(x-g,0,v,x)+m},BounceEaseInOut(g,m,v,x){return g<x/2?e.Easings.BounceEaseIn(g*2,0,v,x)*.5+m:e.Easings.BounceEaseOut(g*2-x,0,v,x)*.5+v*.5+m},EaseIn(g,m,v,x){return v*(g/=x)*g+m},EaseOut(g,m,v,x){return-v*(g/=x)*(g-2)+m},EaseInOut(g,m,v,x){return(g/=x/2)<1?v/2*g*g+m:-v/2*(--g*(g-2)-1)+m},StrongEaseIn(g,m,v,x){return v*(g/=x)*g*g*g*g+m},StrongEaseOut(g,m,v,x){return v*((g=g/x-1)*g*g*g*g+1)+m},StrongEaseInOut(g,m,v,x){return(g/=x/2)<1?v/2*g*g*g*g*g+m:v/2*((g-=2)*g*g*g*g+2)+m},Linear(g,m,v,x){return v*g/x+m}}})(ez);(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Konva=void 0;const t=rt,n=Sn,r=fn,i=vc,o=YU,s=Pm,a=lS,l=jf,u=sS,d=rr,f=Gf,p=ez,g=ba,m=Qo;e.Konva=n.Util._assign(t.Konva,{Util:n.Util,Transform:n.Transform,Node:r.Node,Container:i.Container,Stage:o.Stage,stages:o.stages,Layer:s.Layer,FastLayer:a.FastLayer,Group:l.Group,DD:u.DD,Shape:d.Shape,shapes:d.shapes,Animation:f.Animation,Tween:p.Tween,Easings:p.Easings,Context:g.Context,Canvas:m.Canvas}),e.default=e.Konva})(WU);var uS={};Object.defineProperty(uS,"__esModule",{value:!0});uS.Arc=void 0;const cS=nt,u2e=rr,QO=rt,dS=ke,c2e=rt;class Ua extends u2e.Shape{_sceneFunc(t){var n=QO.Konva.getAngle(this.angle()),r=this.clockwise();t.beginPath(),t.arc(0,0,this.outerRadius(),0,n,r),t.arc(0,0,this.innerRadius(),n,0,!r),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return 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a=s[0],l=s[1],u=s[2],d=s[3],f=s[4],p=s[5],g=s[6],m=s[7],v=u>d?u:d,x=u>d?1:u/d,_=u>d?d/u:1;t.translate(a,l),t.rotate(g),t.scale(x,_),t.arc(0,0,v,f,f+p,1-m),t.scale(1/x,1/_),t.rotate(-g),t.translate(-a,-l);break;case"z":r=!0,t.closePath();break}}!r&&!this.hasFill()?t.strokeShape(this):t.fillStrokeShape(this)}getSelfRect(){var t=[];this.dataArray.forEach(function(u){if(u.command==="A"){var d=u.points[4],f=u.points[5],p=u.points[4]+f,g=Math.PI/180;if(Math.abs(d-p)<g&&(g=Math.abs(d-p)),f<0)for(let m=d-g;m>p;m-=g){const v=Zn.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],m,0);t.push(v.x,v.y)}else for(let m=d+g;m<p;m+=g){const v=Zn.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],m,0);t.push(v.x,v.y)}}else if(u.command==="C")for(let m=0;m<=1;m+=.01){const v=Zn.getPointOnCubicBezier(m,u.start.x,u.start.y,u.points[0],u.points[1],u.points[2],u.points[3],u.points[4],u.points[5]);t.push(v.x,v.y)}else t=t.concat(u.points)});for(var n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],isNaN(s)||(n=Math.min(n,s),r=Math.max(r,s)),isNaN(a)||(i=Math.min(i,a),o=Math.max(o,a));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return Zn.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return Zn.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return Zn.getPointOnCubicBezier((0,pd.t2length)(t,Zn.getPathLength(n),v=>(0,pd.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return Zn.getPointOnQuadraticBezier((0,pd.t2length)(t,Zn.getPathLength(n),v=>(0,pd.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],d=a[2],f=a[3],p=a[4],g=a[5],m=a[6];return p+=g*t/s.pathLength,Zn.getPointOnEllipticalArc(l,u,d,f,p,m)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var d=l*u,f;if(i===n)f={x:s,y:a+d};else if((a-r)/(s-n+1e-8)===l)f={x:s+u,y:a+d};else{var p,g,m=this.getLineLength(n,r,i,o),v=(s-n)*(i-n)+(a-r)*(o-r);v=v/(m*m),p=n+v*(i-n),g=r+v*(o-r);var x=this.getLineLength(s,a,p,g),_=Math.sqrt(t*t-x*x);u=Math.sqrt(_*_/(1+l*l)),i<n&&(u*=-1),d=l*u,f={x:p+u,y:g+d}}return f}static getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function d(x){return x*x*x}function f(x){return 3*x*x*(1-x)}function p(x){return 3*x*(1-x)*(1-x)}function g(x){return(1-x)*(1-x)*(1-x)}var m=l*d(t)+s*f(t)+i*p(t)+n*g(t),v=u*d(t)+a*f(t)+o*p(t)+r*g(t);return{x:m,y:v}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(g){return g*g}function u(g){return 2*g*(1-g)}function d(g){return(1-g)*(1-g)}var f=s*l(t)+i*u(t)+n*d(t),p=a*l(t)+o*u(t)+r*d(t);return{x:f,y:p}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,d=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,f;for(i=1;i<o.length;i++){var p=o[i],g=p.charAt(0);for(p=p.slice(1),a.length=0;f=d.exec(p);)a.push(f[0]);for(var m=[],v=0,x=a.length;v<x;v++){if(a[v]==="00"){m.push(0,0);continue}var _=parseFloat(a[v]);isNaN(_)?m.push(0):m.push(_)}for(;m.length>0&&!isNaN(m[0]);){var b=null,y=[],S=l,C=u,T,E,P,k,O,M,G,U,A,N;switch(g){case"l":l+=m.shift(),u+=m.shift(),b="L",y.push(l,u);break;case"L":l=m.shift(),u=m.shift(),y.push(l,u);break;case"m":var F=m.shift(),B=m.shift();if(l+=F,u+=B,b="M",s.length>2&&s[s.length-1].command==="z"){for(var D=s.length-2;D>=0;D--)if(s[D].command==="M"){l=s[D].points[0]+F,u=s[D].points[1]+B;break}}y.push(l,u),g="l";break;case"M":l=m.shift(),u=m.shift(),b="M",y.push(l,u),g="L";break;case"h":l+=m.shift(),b="L",y.push(l,u);break;case"H":l=m.shift(),b="L",y.push(l,u);break;case"v":u+=m.shift(),b="L",y.push(l,u);break;case"V":u=m.shift(),b="L",y.push(l,u);break;case"C":y.push(m.shift(),m.shift(),m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"c":y.push(l+m.shift(),u+m.shift(),l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"S":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,m.shift(),m.shift()),l=m.shift(),u=m.shift(),b="C",y.push(l,u);break;case"s":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"Q":y.push(m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"q":y.push(l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="Q",y.push(l,u);break;case"T":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l=m.shift(),u=m.shift(),b="Q",y.push(E,P,l,u);break;case"t":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l+=m.shift(),u+=m.shift(),b="Q",y.push(E,P,l,u);break;case"A":k=m.shift(),O=m.shift(),M=m.shift(),G=m.shift(),U=m.shift(),A=l,N=u,l=m.shift(),u=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,G,U,k,O,M);break;case"a":k=m.shift(),O=m.shift(),M=m.shift(),G=m.shift(),U=m.shift(),A=l,N=u,l+=m.shift(),u+=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,G,U,k,O,M);break}s.push({command:b||g,points:y,start:{x:S,y:C},pathLength:this.calcLength(S,C,b||g,y)})}(g==="z"||g==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=Zn;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,pd.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,pd.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var d=i[4],f=i[5],p=i[4]+f,g=Math.PI/180;if(Math.abs(d-p)<g&&(g=Math.abs(d-p)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],d,0),f<0)for(l=d-g;l>p;l-=g)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=d+g;l<p;l+=g)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],p,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var d=u*(Math.PI/180),f=Math.cos(d)*(t-r)/2+Math.sin(d)*(n-i)/2,p=-1*Math.sin(d)*(t-r)/2+Math.cos(d)*(n-i)/2,g=f*f/(a*a)+p*p/(l*l);g>1&&(a*=Math.sqrt(g),l*=Math.sqrt(g));var m=Math.sqrt((a*a*(l*l)-a*a*(p*p)-l*l*(f*f))/(a*a*(p*p)+l*l*(f*f)));o===s&&(m*=-1),isNaN(m)&&(m=0);var v=m*a*p/l,x=m*-l*f/a,_=(t+r)/2+Math.cos(d)*v-Math.sin(d)*x,b=(n+i)/2+Math.sin(d)*v+Math.cos(d)*x,y=function(O){return Math.sqrt(O[0]*O[0]+O[1]*O[1])},S=function(O,M){return(O[0]*M[0]+O[1]*M[1])/(y(O)*y(M))},C=function(O,M){return(O[0]*M[1]<O[1]*M[0]?-1:1)*Math.acos(S(O,M))},T=C([1,0],[(f-v)/a,(p-x)/l]),E=[(f-v)/a,(p-x)/l],P=[(-1*f-v)/a,(-1*p-x)/l],k=C(E,P);return S(E,P)<=-1&&(k=Math.PI),S(E,P)>=1&&(k=0),s===0&&k>0&&(k=k-2*Math.PI),s===1&&k<0&&(k=k+2*Math.PI),[_,b,a,l,T,k,d,s]}}Hf.Path=Zn;Zn.prototype.className="Path";Zn.prototype._attrsAffectingSize=["data"];(0,g2e._registerNode)(Zn);h2e.Factory.addGetterSetter(Zn,"data");Object.defineProperty(fS,"__esModule",{value:!0});fS.Arrow=void 0;const pS=nt,m2e=Rm,rz=ke,y2e=rt,JO=Hf;class bc extends m2e.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const p=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],g=JO.Path.calcLength(i[i.length-4],i[i.length-3],"C",p),m=JO.Path.getPointOnQuadraticBezier(Math.min(1,1-s/g),p[0],p[1],p[2],p[3],p[4],p[5]);l=r[a-2]-m.x,u=r[a-1]-m.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var d=(Math.atan2(u,l)+n)%n,f=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(d),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}fS.Arrow=bc;bc.prototype.className="Arrow";(0,y2e._registerNode)(bc);pS.Factory.addGetterSetter(bc,"pointerLength",10,(0,rz.getNumberValidator)());pS.Factory.addGetterSetter(bc,"pointerWidth",10,(0,rz.getNumberValidator)());pS.Factory.addGetterSetter(bc,"pointerAtBeginning",!1);pS.Factory.addGetterSetter(bc,"pointerAtEnding",!0);var gS={};Object.defineProperty(gS,"__esModule",{value:!0});gS.Circle=void 0;const v2e=nt,_2e=rr,b2e=ke,S2e=rt;let Wf=class extends _2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};gS.Circle=Wf;Wf.prototype._centroid=!0;Wf.prototype.className="Circle";Wf.prototype._attrsAffectingSize=["radius"];(0,S2e._registerNode)(Wf);v2e.Factory.addGetterSetter(Wf,"radius",0,(0,b2e.getNumberValidator)());var mS={};Object.defineProperty(mS,"__esModule",{value:!0});mS.Ellipse=void 0;const wE=nt,w2e=rr,iz=ke,x2e=rt;class ou extends w2e.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}mS.Ellipse=ou;ou.prototype.className="Ellipse";ou.prototype._centroid=!0;ou.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,x2e._registerNode)(ou);wE.Factory.addComponentsGetterSetter(ou,"radius",["x","y"]);wE.Factory.addGetterSetter(ou,"radiusX",0,(0,iz.getNumberValidator)());wE.Factory.addGetterSetter(ou,"radiusY",0,(0,iz.getNumberValidator)());var yS={};Object.defineProperty(yS,"__esModule",{value:!0});yS.Image=void 0;const Bx=Sn,Sc=nt,C2e=rr,T2e=rt,Om=ke;let Us=class oz extends C2e.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?Bx.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?Bx.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=Bx.Util.createImageElement();i.onload=function(){var o=new oz({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};yS.Image=Us;Us.prototype.className="Image";(0,T2e._registerNode)(Us);Sc.Factory.addGetterSetter(Us,"cornerRadius",0,(0,Om.getNumberOrArrayOfNumbersValidator)(4));Sc.Factory.addGetterSetter(Us,"image");Sc.Factory.addComponentsGetterSetter(Us,"crop",["x","y","width","height"]);Sc.Factory.addGetterSetter(Us,"cropX",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropY",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropWidth",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropHeight",0,(0,Om.getNumberValidator)());var Rf={};Object.defineProperty(Rf,"__esModule",{value:!0});Rf.Tag=Rf.Label=void 0;const vS=nt,E2e=rr,A2e=jf,xE=ke,sz=rt;var az=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],P2e="Change.konva",R2e="none",a5="up",l5="right",u5="down",c5="left",O2e=az.length;class CE extends A2e.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<O2e;r++)t.on(az[r]+P2e,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case a5:a=r/2,l=-1*u;break;case l5:a=r+s,l=i/2;break;case u5:a=r/2,l=i+u;break;case c5:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}Rf.Label=CE;CE.prototype.className="Label";(0,sz._registerNode)(CE);class wc extends E2e.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,d=0,f=0;typeof a=="number"?l=u=d=f=Math.min(a,n/2,r/2):(l=Math.min(a[0]||0,n/2,r/2),u=Math.min(a[1]||0,n/2,r/2),f=Math.min(a[2]||0,n/2,r/2),d=Math.min(a[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===a5&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*s),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===l5&&(t.lineTo(n,(r-s)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+s)/2)),t.lineTo(n,r-f),t.arc(n-f,r-f,f,0,Math.PI/2,!1),i===u5&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+s),t.lineTo((n-o)/2,r)),t.lineTo(d,r),t.arc(d,r-d,d,Math.PI/2,Math.PI,!1),i===c5&&(t.lineTo(0,(r+s)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-s)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),s=this.width(),a=this.height();return o===a5?(n-=i,a+=i):o===u5?a+=i:o===c5?(t-=r*1.5,s+=r):o===l5&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}Rf.Tag=wc;wc.prototype.className="Tag";(0,sz._registerNode)(wc);vS.Factory.addGetterSetter(wc,"pointerDirection",R2e);vS.Factory.addGetterSetter(wc,"pointerWidth",0,(0,xE.getNumberValidator)());vS.Factory.addGetterSetter(wc,"pointerHeight",0,(0,xE.getNumberValidator)());vS.Factory.addGetterSetter(wc,"cornerRadius",0,(0,xE.getNumberOrArrayOfNumbersValidator)(4));var km={};Object.defineProperty(km,"__esModule",{value:!0});km.Rect=void 0;const k2e=nt,I2e=rr,M2e=rt,N2e=Sn,L2e=ke;let _S=class extends I2e.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?N2e.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};km.Rect=_S;_S.prototype.className="Rect";(0,M2e._registerNode)(_S);k2e.Factory.addGetterSetter(_S,"cornerRadius",0,(0,L2e.getNumberOrArrayOfNumbersValidator)(4));var bS={};Object.defineProperty(bS,"__esModule",{value:!0});bS.RegularPolygon=void 0;const lz=nt,D2e=rr,uz=ke,$2e=rt;class xc extends D2e.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}bS.RegularPolygon=xc;xc.prototype.className="RegularPolygon";xc.prototype._centroid=!0;xc.prototype._attrsAffectingSize=["radius"];(0,$2e._registerNode)(xc);lz.Factory.addGetterSetter(xc,"radius",0,(0,uz.getNumberValidator)());lz.Factory.addGetterSetter(xc,"sides",0,(0,uz.getNumberValidator)());var SS={};Object.defineProperty(SS,"__esModule",{value:!0});SS.Ring=void 0;const cz=nt,F2e=rr,dz=ke,B2e=rt;var ek=Math.PI*2;class Cc extends F2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,ek,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),ek,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}SS.Ring=Cc;Cc.prototype.className="Ring";Cc.prototype._centroid=!0;Cc.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,B2e._registerNode)(Cc);cz.Factory.addGetterSetter(Cc,"innerRadius",0,(0,dz.getNumberValidator)());cz.Factory.addGetterSetter(Cc,"outerRadius",0,(0,dz.getNumberValidator)());var wS={};Object.defineProperty(wS,"__esModule",{value:!0});wS.Sprite=void 0;const Tc=nt,U2e=rr,z2e=Gf,fz=ke,V2e=rt;class zs extends U2e.Shape{constructor(t){super(t),this._updated=!0,this.anim=new z2e.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+0],l=o[i+1],u=o[i+2],d=o[i+3],f=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,d),t.closePath(),t.fillStrokeShape(this)),f)if(s){var p=s[n],g=r*2;t.drawImage(f,a,l,u,d,p[g+0],p[g+1],u,d)}else t.drawImage(f,a,l,u,d,0,0,u,d)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+2],l=o[i+3];if(t.beginPath(),s){var u=s[n],d=r*2;t.rect(u[d+0],u[d+1],a,l)}else t.rect(0,0,a,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}wS.Sprite=zs;zs.prototype.className="Sprite";(0,V2e._registerNode)(zs);Tc.Factory.addGetterSetter(zs,"animation");Tc.Factory.addGetterSetter(zs,"animations");Tc.Factory.addGetterSetter(zs,"frameOffsets");Tc.Factory.addGetterSetter(zs,"image");Tc.Factory.addGetterSetter(zs,"frameIndex",0,(0,fz.getNumberValidator)());Tc.Factory.addGetterSetter(zs,"frameRate",17,(0,fz.getNumberValidator)());Tc.Factory.backCompat(zs,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var xS={};Object.defineProperty(xS,"__esModule",{value:!0});xS.Star=void 0;const TE=nt,j2e=rr,EE=ke,G2e=rt;class su extends j2e.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}xS.Star=su;su.prototype.className="Star";su.prototype._centroid=!0;su.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,G2e._registerNode)(su);TE.Factory.addGetterSetter(su,"numPoints",5,(0,EE.getNumberValidator)());TE.Factory.addGetterSetter(su,"innerRadius",0,(0,EE.getNumberValidator)());TE.Factory.addGetterSetter(su,"outerRadius",0,(0,EE.getNumberValidator)());var uc={};Object.defineProperty(uc,"__esModule",{value:!0});uc.Text=uc.stringToArray=void 0;const d5=Sn,di=nt,H2e=rr,au=ke,W2e=rt;function hz(e){return Array.from(e)}uc.stringToArray=hz;var gd="auto",q2e="center",Zh="justify",K2e="Change.konva",X2e="2d",tk="-",pz="left",Y2e="text",Q2e="Text",Z2e="top",J2e="bottom",nk="middle",gz="normal",ewe="px ",D0=" ",twe="right",nwe="word",rwe="char",rk="none",Ux="…",mz=["fontFamily","fontSize","fontStyle","fontVariant","padding","align","verticalAlign","lineHeight","text","width","height","wrap","ellipsis","letterSpacing"],iwe=mz.length;function owe(e){return e.split(",").map(t=>{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var $0;function zx(){return $0||($0=d5.Util.createCanvasElement().getContext(X2e),$0)}function swe(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function awe(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function lwe(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}class Dn extends H2e.Shape{constructor(t){super(lwe(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n<iwe;n++)this.on(mz[n]+K2e,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),d=this.getWidth(),f=this.letterSpacing(),p=this.fill(),g=this.textDecoration(),m=g.indexOf("underline")!==-1,v=g.indexOf("line-through")!==-1,x,_=0,_=s/2,b=0,y=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",nk),t.setAttr("textAlign",pz),a===nk?l=(this.getHeight()-r*s-i*2)/2:a===J2e&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),x=0;x<r;x++){var b=0,y=0,S=n[x],C=S.text,T=S.width,E=S.lastInParagraph,P,k,O;if(t.save(),u===twe?b+=d-T-i*2:u===q2e&&(b+=(d-T-i*2)/2),m){t.save(),t.beginPath(),t.moveTo(b,_+y+Math.round(o/2)),P=C.split(" ").length-1,k=P===0,O=u===Zh&&!E?d-i*2:T,t.lineTo(b+Math.round(O),_+y+Math.round(o/2)),t.lineWidth=o/15;const F=this._getLinearGradient();t.strokeStyle=F||p,t.stroke(),t.restore()}if(v){t.save(),t.beginPath(),t.moveTo(b,_+y),P=C.split(" ").length-1,k=P===0,O=u===Zh&&E&&!k?d-i*2:T,t.lineTo(b+Math.round(O),_+y),t.lineWidth=o/15;const F=this._getLinearGradient();t.strokeStyle=F||p,t.stroke(),t.restore()}if(f!==0||u===Zh){P=C.split(" ").length-1;for(var M=hz(C),G=0;G<M.length;G++){var U=M[G];U===" "&&!E&&u===Zh&&(b+=(d-i*2-T)/P),this._partialTextX=b,this._partialTextY=_+y,this._partialText=U,t.fillStrokeShape(this),b+=this.measureSize(U).width+f}}else this._partialTextX=b,this._partialTextY=_+y,this._partialText=C,t.fillStrokeShape(this);t.restore(),r>1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=d5.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(Y2e,n),this}getWidth(){var t=this.attrs.width===gd||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===gd||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return d5.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}measureSize(t){var n=zx(),r=this.fontSize(),i;return n.save(),n.font=this._getContextFont(),i=n.measureText(t),n.restore(),{width:i.width,height:r}}_getContextFont(){return this.fontStyle()+D0+this.fontVariant()+D0+(this.fontSize()+ewe)+owe(this.fontFamily())}_addTextLine(t){this.align()===Zh&&(t=t.trim());var r=this._getTextWidth(t);return this.textArr.push({text:t,width:r,lastInParagraph:!1})}_getTextWidth(t){var n=this.letterSpacing(),r=t.length;return zx().measureText(t).width+(r?n*(r-1):0)}_setTextData(){var t=this.text().split(`
+`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,s=this.attrs.height,a=o!==gd&&o!==void 0,l=s!==gd&&s!==void 0,u=this.padding(),d=o-u*2,f=s-u*2,p=0,g=this.wrap(),m=g!==rk,v=g!==rwe&&m,x=this.ellipsis();this.textArr=[],zx().font=this._getContextFont();for(var _=x?this._getTextWidth(Ux):0,b=0,y=t.length;b<y;++b){var S=t[b],C=this._getTextWidth(S);if(a&&C>d)for(;S.length>0;){for(var T=0,E=S.length,P="",k=0;T<E;){var O=T+E>>>1,M=S.slice(0,O+1),G=this._getTextWidth(M)+_;G<=d?(T=O+1,P=M,k=G):E=O}if(P){if(v){var U,A=S[P.length],N=A===D0||A===tk;N&&k<=d?U=P.length:U=Math.max(P.lastIndexOf(D0),P.lastIndexOf(tk))+1,U>0&&(T=U,P=P.slice(0,T),k=this._getTextWidth(P))}P=P.trimRight(),this._addTextLine(P),r=Math.max(r,k),p+=i;var F=this._shouldHandleEllipsis(p);if(F){this._tryToAddEllipsisToLastLine();break}if(S=S.slice(T),S=S.trimLeft(),S.length>0&&(C=this._getTextWidth(S),C<=d)){this._addTextLine(S),p+=i,r=Math.max(r,C);break}}else break}else this._addTextLine(S),p+=i,r=Math.max(r,C),this._shouldHandleEllipsis(p)&&b<y-1&&this._tryToAddEllipsisToLastLine();if(this.textArr[this.textArr.length-1]&&(this.textArr[this.textArr.length-1].lastInParagraph=!0),l&&p+i>f)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==gd&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==rk;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==gd&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),s=this.textArr[this.textArr.length-1];if(!(!s||!o)){if(n){var a=this._getTextWidth(s.text+Ux)<i;a||(s.text=s.text.slice(0,s.text.length-3))}this.textArr.splice(this.textArr.length-1,1),this._addTextLine(s.text+Ux)}}getStrokeScaleEnabled(){return!0}}uc.Text=Dn;Dn.prototype._fillFunc=swe;Dn.prototype._strokeFunc=awe;Dn.prototype.className=Q2e;Dn.prototype._attrsAffectingSize=["text","fontSize","padding","wrap","lineHeight","letterSpacing"];(0,W2e._registerNode)(Dn);di.Factory.overWriteSetter(Dn,"width",(0,au.getNumberOrAutoValidator)());di.Factory.overWriteSetter(Dn,"height",(0,au.getNumberOrAutoValidator)());di.Factory.addGetterSetter(Dn,"fontFamily","Arial");di.Factory.addGetterSetter(Dn,"fontSize",12,(0,au.getNumberValidator)());di.Factory.addGetterSetter(Dn,"fontStyle",gz);di.Factory.addGetterSetter(Dn,"fontVariant",gz);di.Factory.addGetterSetter(Dn,"padding",0,(0,au.getNumberValidator)());di.Factory.addGetterSetter(Dn,"align",pz);di.Factory.addGetterSetter(Dn,"verticalAlign",Z2e);di.Factory.addGetterSetter(Dn,"lineHeight",1,(0,au.getNumberValidator)());di.Factory.addGetterSetter(Dn,"wrap",nwe);di.Factory.addGetterSetter(Dn,"ellipsis",!1,(0,au.getBooleanValidator)());di.Factory.addGetterSetter(Dn,"letterSpacing",0,(0,au.getNumberValidator)());di.Factory.addGetterSetter(Dn,"text","",(0,au.getStringValidator)());di.Factory.addGetterSetter(Dn,"textDecoration","");var CS={};Object.defineProperty(CS,"__esModule",{value:!0});CS.TextPath=void 0;const Vx=Sn,is=nt,uwe=rr,Jh=Hf,jx=uc,yz=ke,cwe=rt;var dwe="",vz="normal";function _z(e){e.fillText(this.partialText,0,0)}function bz(e){e.strokeText(this.partialText,0,0)}class ir extends uwe.Shape{constructor(t){super(t),this.dummyCanvas=Vx.Util.createCanvasElement(),this.dataArray=[],this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute(),this._setTextData()}),this.on("textChange.konva alignChange.konva letterSpacingChange.konva kerningFuncChange.konva fontSizeChange.konva fontFamilyChange.konva",this._setTextData),this._setTextData()}_getTextPathLength(){return Jh.Path.getPathLength(this.dataArray)}_getPointAtLength(t){if(!this.attrs.data)return null;const n=this.pathLength;return t-1>n?null:Jh.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=Jh.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var s=0;s<o.length;s++){t.save();var a=o[s].p0;t.translate(a.x,a.y),t.rotate(o[s].rotation),this.partialText=o[s].text,t.fillStrokeShape(this),n==="underline"&&(s===0&&t.moveTo(0,i/2+1),t.lineTo(i,i/2+1)),t.restore()}n==="underline"&&(t.strokeStyle=r,t.lineWidth=i/20,t.stroke()),t.restore()}_hitFunc(t){t.beginPath();var n=this.glyphInfo;if(n.length>=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;i<n.length;i++){var o=n[i].p1;t.lineTo(o.x,o.y)}t.setAttr("lineWidth",this.fontSize()),t.setAttr("strokeStyle",this.colorKey),t.stroke()}getTextWidth(){return this.textWidth}getTextHeight(){return Vx.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}setText(t){return jx.Text.prototype.setText.call(this,t)}_getContextFont(){return jx.Text.prototype._getContextFont.call(this)}_getTextSize(t){var n=this.dummyCanvas,r=n.getContext("2d");r.save(),r.font=this._getContextFont();var i=r.measureText(t);return r.restore(),{width:i.width,height:parseInt(`${this.fontSize()}`,10)}}_setTextData(){const{width:t,height:n}=this._getTextSize(this.attrs.text);if(this.textWidth=t,this.textHeight=n,this.glyphInfo=[],!this.attrs.data)return null;const r=this.letterSpacing(),i=this.align(),o=this.kerningFunc(),s=Math.max(this.textWidth+((this.attrs.text||"").length-1)*r,0);let a=0;i==="center"&&(a=Math.max(0,this.pathLength/2-s/2)),i==="right"&&(a=Math.max(0,this.pathLength-s));const l=(0,jx.stringToArray)(this.text());let u=a;for(var d=0;d<l.length;d++){const f=this._getPointAtLength(u);if(!f)return;let p=this._getTextSize(l[d]).width+r;if(l[d]===" "&&i==="justify"){const b=this.text().split(" ").length-1;p+=(this.pathLength-s)/b}const g=this._getPointAtLength(u+p);if(!g)return;const m=Jh.Path.getLineLength(f.x,f.y,g.x,g.y);let v=0;if(o)try{v=o(l[d-1],l[d])*this.fontSize()}catch{v=0}f.x+=v,g.x+=v,this.textWidth+=v;const x=Jh.Path.getPointOnLine(v+m/2,f.x,f.y,g.x,g.y),_=Math.atan2(g.y-f.y,g.x-f.x);this.glyphInfo.push({transposeX:x.x,transposeY:x.y,text:l[d],rotation:_,p0:f,p1:g}),u+=p}}getSelfRect(){if(!this.glyphInfo.length)return{x:0,y:0,width:0,height:0};var t=[];this.glyphInfo.forEach(function(d){t.push(d.p0.x),t.push(d.p0.y),t.push(d.p1.x),t.push(d.p1.y)});for(var n=t[0]||0,r=t[0]||0,i=t[1]||0,o=t[1]||0,s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],n=Math.min(n,s),r=Math.max(r,s),i=Math.min(i,a),o=Math.max(o,a);var u=this.fontSize();return{x:n-u/2,y:i-u/2,width:r-n+u,height:o-i+u}}destroy(){return Vx.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}CS.TextPath=ir;ir.prototype._fillFunc=_z;ir.prototype._strokeFunc=bz;ir.prototype._fillFuncHit=_z;ir.prototype._strokeFuncHit=bz;ir.prototype.className="TextPath";ir.prototype._attrsAffectingSize=["text","fontSize","data"];(0,cwe._registerNode)(ir);is.Factory.addGetterSetter(ir,"data");is.Factory.addGetterSetter(ir,"fontFamily","Arial");is.Factory.addGetterSetter(ir,"fontSize",12,(0,yz.getNumberValidator)());is.Factory.addGetterSetter(ir,"fontStyle",vz);is.Factory.addGetterSetter(ir,"align","left");is.Factory.addGetterSetter(ir,"letterSpacing",0,(0,yz.getNumberValidator)());is.Factory.addGetterSetter(ir,"textBaseline","middle");is.Factory.addGetterSetter(ir,"fontVariant",vz);is.Factory.addGetterSetter(ir,"text",dwe);is.Factory.addGetterSetter(ir,"textDecoration",null);is.Factory.addGetterSetter(ir,"kerningFunc",null);var TS={};Object.defineProperty(TS,"__esModule",{value:!0});TS.Transformer=void 0;const zt=Sn,Ft=nt,ik=fn,fwe=rr,hwe=km,ok=jf,$o=rt,lu=ke,pwe=rt;var Sz="tr-konva",gwe=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${Sz}`).join(" "),sk="nodesRect",mwe=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],ywe={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const vwe="ontouchstart"in $o.Konva._global;function _we(e,t){if(e==="rotater")return"crosshair";t+=zt.Util.degToRad(ywe[e]||0);var n=(zt.Util.radToDeg(t)%360+360)%360;return zt.Util._inRange(n,315+22.5,360)||zt.Util._inRange(n,0,22.5)?"ns-resize":zt.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":zt.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":zt.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":zt.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":zt.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":zt.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":zt.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(zt.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var e_=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],ak=1e8;function bwe(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function wz(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function Swe(e,t){const n=bwe(e);return wz(e,t,n)}function wwe(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=$o.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class Ct extends ok.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(gwe,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return zt.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return Sz+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(zt.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(mwe.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(sk),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(sk,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=($o.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),d={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return wz(d,-$o.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-ak,y:-ak,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const d=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var f=[{x:d.x,y:d.y},{x:d.x+d.width,y:d.y},{x:d.x+d.width,y:d.y+d.height},{x:d.x,y:d.y+d.height}],p=u.getAbsoluteTransform();f.forEach(function(g){var m=p.point(g);n.push(m)})});const r=new zt.Transform;r.rotate(-$o.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var d=r.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:$o.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),e_.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new hwe.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:vwe?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=$o.Konva.getAngle(this.rotation()),o=_we(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new fwe.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*zt.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const d=o.getAbsolutePosition();if(!(u.x===d.x&&u.y===d.y)){if(this._movingAnchorName==="rotater"){var f=this._getNodeRect();n=o.x()-f.width/2,r=-o.y()+f.height/2;let U=Math.atan2(-r,n)+Math.PI/2;f.height<0&&(U-=Math.PI);var p=$o.Konva.getAngle(this.rotation());const A=p+U,N=$o.Konva.getAngle(this.rotationSnapTolerance()),B=wwe(this.rotationSnaps(),A,N)-f.rotation,D=Swe(f,B);this._fitNodesInto(D,t);return}var g=this.shiftBehavior(),m;g==="inverted"?m=this.keepRatio()&&!t.shiftKey:g==="none"?m=this.keepRatio():m=this.keepRatio()||t.shiftKey;var y=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(v.x-o.x(),2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-left").x()>v.x?-1:1,_=this.findOne(".top-left").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-left").x(v.x-n),this.findOne(".top-left").y(v.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-v.x,2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-right").x()<v.x?-1:1,_=this.findOne(".top-right").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-right").x(v.x+n),this.findOne(".top-right").y(v.y-r)}var b=o.position();this.findOne(".top-left").y(b.y),this.findOne(".bottom-right").x(b.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(v.x-o.x(),2)+Math.pow(o.y()-v.y,2));var x=v.x<o.x()?-1:1,_=o.y()<v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,o.x(v.x-n),o.y(v.y+r)}b=o.position(),this.findOne(".top-left").x(b.x),this.findOne(".bottom-right").y(b.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-v.x,2)+Math.pow(o.y()-v.y,2));var x=this.findOne(".bottom-right").x()<v.x?-1:1,_=this.findOne(".bottom-right").y()<v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".bottom-right").x(v.x+n),this.findOne(".bottom-right").y(v.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var y=this.centeredScaling()||t.altKey;if(y){var S=this.findOne(".top-left"),C=this.findOne(".bottom-right"),T=S.x(),E=S.y(),P=this.getWidth()-C.x(),k=this.getHeight()-C.y();C.move({x:-T,y:-E}),S.move({x:P,y:k})}var O=this.findOne(".top-left").getAbsolutePosition();n=O.x,r=O.y;var M=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),G=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:M,height:G,rotation:$o.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(zt.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(zt.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new zt.Transform;if(s.rotate($o.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const f=s.point({x:-this.padding()*2,y:0});if(t.x+=f.x,t.y+=f.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const f=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const f=s.point({x:0,y:-this.padding()*2});if(t.x+=f.x,t.y+=f.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const f=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const f=this.boundBoxFunc()(r,t);f?t=f:zt.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new zt.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new zt.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const d=u.multiply(l.invert());this._nodes.forEach(f=>{var p;const g=f.getParent().getAbsoluteTransform(),m=f.getTransform().copy();m.translate(f.offsetX(),f.offsetY());const v=new zt.Transform;v.multiply(g.copy().invert()).multiply(d).multiply(g).multiply(m);const x=v.decompose();f.setAttrs(x),this._fire("transform",{evt:n,target:f}),f._fire("transform",{evt:n,target:f}),(p=f.getLayer())===null||p===void 0||p.batchDraw()}),this.rotation(zt.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(zt.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(f=>{f.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*zt.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const d=this.anchorStyleFunc();d&&u.forEach(f=>{d(f)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),ok.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return ik.Node.prototype.toObject.call(this)}clone(t){var n=ik.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}TS.Transformer=Ct;function xwe(e){return e instanceof Array||zt.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){e_.indexOf(t)===-1&&zt.Util.warn("Unknown anchor name: "+t+". Available names are: "+e_.join(", "))}),e||[]}Ct.prototype.className="Transformer";(0,pwe._registerNode)(Ct);Ft.Factory.addGetterSetter(Ct,"enabledAnchors",e_,xwe);Ft.Factory.addGetterSetter(Ct,"flipEnabled",!0,(0,lu.getBooleanValidator)());Ft.Factory.addGetterSetter(Ct,"resizeEnabled",!0);Ft.Factory.addGetterSetter(Ct,"anchorSize",10,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"rotateEnabled",!0);Ft.Factory.addGetterSetter(Ct,"rotationSnaps",[]);Ft.Factory.addGetterSetter(Ct,"rotateAnchorOffset",50,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"rotationSnapTolerance",5,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderEnabled",!0);Ft.Factory.addGetterSetter(Ct,"anchorStroke","rgb(0, 161, 255)");Ft.Factory.addGetterSetter(Ct,"anchorStrokeWidth",1,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"anchorFill","white");Ft.Factory.addGetterSetter(Ct,"anchorCornerRadius",0,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderStroke","rgb(0, 161, 255)");Ft.Factory.addGetterSetter(Ct,"borderStrokeWidth",1,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderDash");Ft.Factory.addGetterSetter(Ct,"keepRatio",!0);Ft.Factory.addGetterSetter(Ct,"shiftBehavior","default");Ft.Factory.addGetterSetter(Ct,"centeredScaling",!1);Ft.Factory.addGetterSetter(Ct,"ignoreStroke",!1);Ft.Factory.addGetterSetter(Ct,"padding",0,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"node");Ft.Factory.addGetterSetter(Ct,"nodes");Ft.Factory.addGetterSetter(Ct,"boundBoxFunc");Ft.Factory.addGetterSetter(Ct,"anchorDragBoundFunc");Ft.Factory.addGetterSetter(Ct,"anchorStyleFunc");Ft.Factory.addGetterSetter(Ct,"shouldOverdrawWholeArea",!1);Ft.Factory.addGetterSetter(Ct,"useSingleNodeRotation",!0);Ft.Factory.backCompat(Ct,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var ES={};Object.defineProperty(ES,"__esModule",{value:!0});ES.Wedge=void 0;const AS=nt,Cwe=rr,Twe=rt,xz=ke,Ewe=rt;class za extends Cwe.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,Twe.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}ES.Wedge=za;za.prototype.className="Wedge";za.prototype._centroid=!0;za.prototype._attrsAffectingSize=["radius"];(0,Ewe._registerNode)(za);AS.Factory.addGetterSetter(za,"radius",0,(0,xz.getNumberValidator)());AS.Factory.addGetterSetter(za,"angle",0,(0,xz.getNumberValidator)());AS.Factory.addGetterSetter(za,"clockwise",!1);AS.Factory.backCompat(za,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var PS={};Object.defineProperty(PS,"__esModule",{value:!0});PS.Blur=void 0;const lk=nt,Awe=fn,Pwe=ke;function uk(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var Rwe=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],Owe=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function kwe(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,d,f,p,g,m,v,x,_,b,y,S,C,T,E,P,k,O,M,G,U=t+t+1,A=r-1,N=i-1,F=t+1,B=F*(F+1)/2,D=new uk,V=null,j=D,q=null,Z=null,ee=Rwe[t],ie=Owe[t];for(a=1;a<U;a++)j=j.next=new uk,a===F&&(V=j);for(j.next=D,f=d=0,s=0;s<i;s++){for(S=C=T=E=p=g=m=v=0,x=F*(P=n[d]),_=F*(k=n[d+1]),b=F*(O=n[d+2]),y=F*(M=n[d+3]),p+=B*P,g+=B*k,m+=B*O,v+=B*M,j=D,a=0;a<F;a++)j.r=P,j.g=k,j.b=O,j.a=M,j=j.next;for(a=1;a<F;a++)l=d+((A<a?A:a)<<2),p+=(j.r=P=n[l])*(G=F-a),g+=(j.g=k=n[l+1])*G,m+=(j.b=O=n[l+2])*G,v+=(j.a=M=n[l+3])*G,S+=P,C+=k,T+=O,E+=M,j=j.next;for(q=D,Z=V,o=0;o<r;o++)n[d+3]=M=v*ee>>ie,M!==0?(M=255/M,n[d]=(p*ee>>ie)*M,n[d+1]=(g*ee>>ie)*M,n[d+2]=(m*ee>>ie)*M):n[d]=n[d+1]=n[d+2]=0,p-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=f+((l=o+t+1)<A?l:A)<<2,S+=q.r=n[l],C+=q.g=n[l+1],T+=q.b=n[l+2],E+=q.a=n[l+3],p+=S,g+=C,m+=T,v+=E,q=q.next,x+=P=Z.r,_+=k=Z.g,b+=O=Z.b,y+=M=Z.a,S-=P,C-=k,T-=O,E-=M,Z=Z.next,d+=4;f+=r}for(o=0;o<r;o++){for(C=T=E=S=g=m=v=p=0,d=o<<2,x=F*(P=n[d]),_=F*(k=n[d+1]),b=F*(O=n[d+2]),y=F*(M=n[d+3]),p+=B*P,g+=B*k,m+=B*O,v+=B*M,j=D,a=0;a<F;a++)j.r=P,j.g=k,j.b=O,j.a=M,j=j.next;for(u=r,a=1;a<=t;a++)d=u+o<<2,p+=(j.r=P=n[d])*(G=F-a),g+=(j.g=k=n[d+1])*G,m+=(j.b=O=n[d+2])*G,v+=(j.a=M=n[d+3])*G,S+=P,C+=k,T+=O,E+=M,j=j.next,a<N&&(u+=r);for(d=o,q=D,Z=V,s=0;s<i;s++)l=d<<2,n[l+3]=M=v*ee>>ie,M>0?(M=255/M,n[l]=(p*ee>>ie)*M,n[l+1]=(g*ee>>ie)*M,n[l+2]=(m*ee>>ie)*M):n[l]=n[l+1]=n[l+2]=0,p-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=o+((l=s+F)<N?l:N)*r<<2,p+=S+=q.r=n[l],g+=C+=q.g=n[l+1],m+=T+=q.b=n[l+2],v+=E+=q.a=n[l+3],q=q.next,x+=P=Z.r,_+=k=Z.g,b+=O=Z.b,y+=M=Z.a,S-=P,C-=k,T-=O,E-=M,Z=Z.next,d+=r}}const Iwe=function(t){var n=Math.round(this.blurRadius());n>0&&kwe(t,n)};PS.Blur=Iwe;lk.Factory.addGetterSetter(Awe.Node,"blurRadius",0,(0,Pwe.getNumberValidator)(),lk.Factory.afterSetFilter);var RS={};Object.defineProperty(RS,"__esModule",{value:!0});RS.Brighten=void 0;const ck=nt,Mwe=fn,Nwe=ke,Lwe=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};RS.Brighten=Lwe;ck.Factory.addGetterSetter(Mwe.Node,"brightness",0,(0,Nwe.getNumberValidator)(),ck.Factory.afterSetFilter);var OS={};Object.defineProperty(OS,"__esModule",{value:!0});OS.Contrast=void 0;const dk=nt,Dwe=fn,$we=ke,Fwe=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};OS.Contrast=Fwe;dk.Factory.addGetterSetter(Dwe.Node,"contrast",0,(0,$we.getNumberValidator)(),dk.Factory.afterSetFilter);var kS={};Object.defineProperty(kS,"__esModule",{value:!0});kS.Emboss=void 0;const ql=nt,IS=fn,Bwe=Sn,Cz=ke,Uwe=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,d=l*4,f=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:Bwe.Util.error("Unknown emboss direction: "+r)}do{var p=(f-1)*d,g=o;f+g<1&&(g=0),f+g>u&&(g=0);var m=(f-1+g)*l*4,v=l;do{var x=p+(v-1)*4,_=s;v+_<1&&(_=0),v+_>l&&(_=0);var b=m+(v-1+_)*4,y=a[x]-a[b],S=a[x+1]-a[b+1],C=a[x+2]-a[b+2],T=y,E=T>0?T:-T,P=S>0?S:-S,k=C>0?C:-C;if(P>E&&(T=S),k>E&&(T=C),T*=t,i){var O=a[x]+T,M=a[x+1]+T,G=a[x+2]+T;a[x]=O>255?255:O<0?0:O,a[x+1]=M>255?255:M<0?0:M,a[x+2]=G>255?255:G<0?0:G}else{var U=n-T;U<0?U=0:U>255&&(U=255),a[x]=a[x+1]=a[x+2]=U}}while(--v)}while(--f)};kS.Emboss=Uwe;ql.Factory.addGetterSetter(IS.Node,"embossStrength",.5,(0,Cz.getNumberValidator)(),ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossWhiteLevel",.5,(0,Cz.getNumberValidator)(),ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossDirection","top-left",null,ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossBlend",!1,null,ql.Factory.afterSetFilter);var MS={};Object.defineProperty(MS,"__esModule",{value:!0});MS.Enhance=void 0;const fk=nt,zwe=fn,Vwe=ke;function Gx(e,t,n,r,i){var o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const jwe=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],d=u,f,p,g=this.enhance();if(g!==0){for(p=0;p<n;p+=4)o=t[p+0],o<r?r=o:o>i&&(i=o),l=t[p+1],l<s?s=l:l>a&&(a=l),f=t[p+2],f<u?u=f:f>d&&(d=f);i===r&&(i=255,r=0),a===s&&(a=255,s=0),d===u&&(d=255,u=0);var m,v,x,_,b,y,S,C,T;for(g>0?(v=i+g*(255-i),x=r-g*(r-0),b=a+g*(255-a),y=s-g*(s-0),C=d+g*(255-d),T=u-g*(u-0)):(m=(i+r)*.5,v=i+g*(i-m),x=r+g*(r-m),_=(a+s)*.5,b=a+g*(a-_),y=s+g*(s-_),S=(d+u)*.5,C=d+g*(d-S),T=u+g*(u-S)),p=0;p<n;p+=4)t[p+0]=Gx(t[p+0],r,i,x,v),t[p+1]=Gx(t[p+1],s,a,y,b),t[p+2]=Gx(t[p+2],u,d,T,C)}};MS.Enhance=jwe;fk.Factory.addGetterSetter(zwe.Node,"enhance",0,(0,Vwe.getNumberValidator)(),fk.Factory.afterSetFilter);var NS={};Object.defineProperty(NS,"__esModule",{value:!0});NS.Grayscale=void 0;const Gwe=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};NS.Grayscale=Gwe;var LS={};Object.defineProperty(LS,"__esModule",{value:!0});LS.HSL=void 0;const Of=nt,AE=fn,PE=ke;Of.Factory.addGetterSetter(AE.Node,"hue",0,(0,PE.getNumberValidator)(),Of.Factory.afterSetFilter);Of.Factory.addGetterSetter(AE.Node,"saturation",0,(0,PE.getNumberValidator)(),Of.Factory.afterSetFilter);Of.Factory.addGetterSetter(AE.Node,"luminance",0,(0,PE.getNumberValidator)(),Of.Factory.afterSetFilter);const Hwe=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s=this.luminance()*127,a,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),d=.299*r+.701*l+.167*u,f=.587*r-.587*l+.33*u,p=.114*r-.114*l-.497*u,g=.299*r-.299*l-.328*u,m=.587*r+.413*l+.035*u,v=.114*r-.114*l+.293*u,x=.299*r-.3*l+1.25*u,_=.587*r-.586*l-1.05*u,b=.114*r+.886*l-.2*u,y,S,C,T;for(a=0;a<n;a+=4)y=t[a+0],S=t[a+1],C=t[a+2],T=t[a+3],t[a+0]=d*y+f*S+p*C+s,t[a+1]=g*y+m*S+v*C+s,t[a+2]=x*y+_*S+b*C+s,t[a+3]=T};LS.HSL=Hwe;var DS={};Object.defineProperty(DS,"__esModule",{value:!0});DS.HSV=void 0;const kf=nt,RE=fn,OE=ke,Wwe=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,d=.587*r-.587*a+.33*l,f=.114*r-.114*a-.497*l,p=.299*r-.299*a-.328*l,g=.587*r+.413*a+.035*l,m=.114*r-.114*a+.293*l,v=.299*r-.3*a+1.25*l,x=.587*r-.586*a-1.05*l,_=.114*r+.886*a-.2*l,b,y,S,C;for(s=0;s<n;s+=4)b=t[s+0],y=t[s+1],S=t[s+2],C=t[s+3],t[s+0]=u*b+d*y+f*S,t[s+1]=p*b+g*y+m*S,t[s+2]=v*b+x*y+_*S,t[s+3]=C};DS.HSV=Wwe;kf.Factory.addGetterSetter(RE.Node,"hue",0,(0,OE.getNumberValidator)(),kf.Factory.afterSetFilter);kf.Factory.addGetterSetter(RE.Node,"saturation",0,(0,OE.getNumberValidator)(),kf.Factory.afterSetFilter);kf.Factory.addGetterSetter(RE.Node,"value",0,(0,OE.getNumberValidator)(),kf.Factory.afterSetFilter);var $S={};Object.defineProperty($S,"__esModule",{value:!0});$S.Invert=void 0;const qwe=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};$S.Invert=qwe;var FS={};Object.defineProperty(FS,"__esModule",{value:!0});FS.Kaleidoscope=void 0;const t_=nt,Tz=fn,hk=Sn,Ez=ke;var Kwe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,d,f,p=0,g=0,m=0,v=0,x,_=Math.sqrt(a*a+l*l);d=o-a,f=s-l,x=Math.sqrt(d*d+f*f),_=x>_?x:_;var b=s,y=o,S,C,T=360/y*Math.PI/180,E,P;for(C=0;C<y;C+=1)for(E=Math.sin(C*T),P=Math.cos(C*T),S=0;S<b;S+=1)d=Math.floor(a+_*S/b*P),f=Math.floor(l+_*S/b*E),u=(f*o+d)*4,p=r[u+0],g=r[u+1],m=r[u+2],v=r[u+3],u=(C+S*o)*4,i[u+0]=p,i[u+1]=g,i[u+2]=m,i[u+3]=v},Xwe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,d,f,p,g,m=0,v=0,x=0,_=0,b,y=Math.sqrt(a*a+l*l);d=o-a,f=s-l,b=Math.sqrt(d*d+f*f),y=b>y?b:y;var S=s,C=o,T,E,P=n.polarRotation||0,k,O;for(d=0;d<o;d+=1)for(f=0;f<s;f+=1)p=d-a,g=f-l,T=Math.sqrt(p*p+g*g)*S/y,E=(Math.atan2(g,p)*180/Math.PI+360+P)%360,E=E*C/360,k=Math.floor(E),O=Math.floor(T),u=(O*o+k)*4,m=r[u+0],v=r[u+1],x=r[u+2],_=r[u+3],u=(f*o+d)*4,i[u+0]=m,i[u+1]=v,i[u+2]=x,i[u+3]=_};const Ywe=function(e){var t=e.width,n=e.height,r,i,o,s,a,l,u,d,f,p,g=Math.round(this.kaleidoscopePower()),m=Math.round(this.kaleidoscopeAngle()),v=Math.floor(t*(m%360)/360);if(!(g<1)){var x=hk.Util.createCanvasElement();x.width=t,x.height=n;var _=x.getContext("2d").getImageData(0,0,t,n);hk.Util.releaseCanvas(x),Kwe(e,_,{polarCenterX:t/2,polarCenterY:n/2});for(var b=t/Math.pow(2,g);b<=8;)b=b*2,g-=1;b=Math.ceil(b);var y=b,S=0,C=y,T=1;for(v+b>t&&(S=y,C=0,T=-1),i=0;i<n;i+=1)for(r=S;r!==C;r+=T)o=Math.round(r+v)%t,f=(t*i+o)*4,a=_.data[f+0],l=_.data[f+1],u=_.data[f+2],d=_.data[f+3],p=(t*i+r)*4,_.data[p+0]=a,_.data[p+1]=l,_.data[p+2]=u,_.data[p+3]=d;for(i=0;i<n;i+=1)for(y=Math.floor(b),s=0;s<g;s+=1){for(r=0;r<y+1;r+=1)f=(t*i+r)*4,a=_.data[f+0],l=_.data[f+1],u=_.data[f+2],d=_.data[f+3],p=(t*i+y*2-r-1)*4,_.data[p+0]=a,_.data[p+1]=l,_.data[p+2]=u,_.data[p+3]=d;y*=2}Xwe(_,e,{polarRotation:0})}};FS.Kaleidoscope=Ywe;t_.Factory.addGetterSetter(Tz.Node,"kaleidoscopePower",2,(0,Ez.getNumberValidator)(),t_.Factory.afterSetFilter);t_.Factory.addGetterSetter(Tz.Node,"kaleidoscopeAngle",0,(0,Ez.getNumberValidator)(),t_.Factory.afterSetFilter);var BS={};Object.defineProperty(BS,"__esModule",{value:!0});BS.Mask=void 0;const pk=nt,Qwe=fn,Zwe=ke;function F0(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function ep(e,t){return Math.sqrt(Math.pow(e[0]-t[0],2)+Math.pow(e[1]-t[1],2)+Math.pow(e[2]-t[2],2))}function Jwe(e){for(var t=[0,0,0],n=0;n<e.length;n++)t[0]+=e[n][0],t[1]+=e[n][1],t[2]+=e[n][2];return t[0]/=e.length,t[1]/=e.length,t[2]/=e.length,t}function exe(e,t){var n=F0(e,0,0),r=F0(e,e.width-1,0),i=F0(e,0,e.height-1),o=F0(e,e.width-1,e.height-1),s=t||10;if(ep(n,r)<s&&ep(r,o)<s&&ep(o,i)<s&&ep(i,n)<s){for(var a=Jwe([r,n,o,i]),l=[],u=0;u<e.width*e.height;u++){var d=ep(a,[e.data[u*4],e.data[u*4+1],e.data[u*4+2]]);l[u]=d<s?0:255}return l}}function txe(e,t){for(var n=0;n<e.width*e.height;n++)e.data[4*n+3]=t[n]}function nxe(e,t,n){for(var r=[1,1,1,1,0,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d===255*8?255:0}return s}function rxe(e,t,n){for(var r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d>=255*4?255:0}return s}function ixe(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d}return s}const oxe=function(e){var t=this.threshold(),n=exe(e,t);return n&&(n=nxe(n,e.width,e.height),n=rxe(n,e.width,e.height),n=ixe(n,e.width,e.height),txe(e,n)),e};BS.Mask=oxe;pk.Factory.addGetterSetter(Qwe.Node,"threshold",0,(0,Zwe.getNumberValidator)(),pk.Factory.afterSetFilter);var US={};Object.defineProperty(US,"__esModule",{value:!0});US.Noise=void 0;const gk=nt,sxe=fn,axe=ke,lxe=function(e){var t=this.noise()*255,n=e.data,r=n.length,i=t/2,o;for(o=0;o<r;o+=4)n[o+0]+=i-2*i*Math.random(),n[o+1]+=i-2*i*Math.random(),n[o+2]+=i-2*i*Math.random()};US.Noise=lxe;gk.Factory.addGetterSetter(sxe.Node,"noise",.2,(0,axe.getNumberValidator)(),gk.Factory.afterSetFilter);var zS={};Object.defineProperty(zS,"__esModule",{value:!0});zS.Pixelate=void 0;const mk=nt,uxe=Sn,cxe=fn,dxe=ke,fxe=function(e){var t=Math.ceil(this.pixelSize()),n=e.width,r=e.height,i,o,s,a,l,u,d,f=Math.ceil(n/t),p=Math.ceil(r/t),g,m,v,x,_,b,y,S=e.data;if(t<=0){uxe.Util.error("pixelSize value can not be <= 0");return}for(_=0;_<f;_+=1)for(b=0;b<p;b+=1){for(a=0,l=0,u=0,d=0,g=_*t,m=g+t,v=b*t,x=v+t,y=0,i=g;i<m;i+=1)if(!(i>=n))for(o=v;o<x;o+=1)o>=r||(s=(n*o+i)*4,a+=S[s+0],l+=S[s+1],u+=S[s+2],d+=S[s+3],y+=1);for(a=a/y,l=l/y,u=u/y,d=d/y,i=g;i<m;i+=1)if(!(i>=n))for(o=v;o<x;o+=1)o>=r||(s=(n*o+i)*4,S[s+0]=a,S[s+1]=l,S[s+2]=u,S[s+3]=d)}};zS.Pixelate=fxe;mk.Factory.addGetterSetter(cxe.Node,"pixelSize",8,(0,dxe.getNumberValidator)(),mk.Factory.afterSetFilter);var VS={};Object.defineProperty(VS,"__esModule",{value:!0});VS.Posterize=void 0;const yk=nt,hxe=fn,pxe=ke,gxe=function(e){var t=Math.round(this.levels()*254)+1,n=e.data,r=n.length,i=255/t,o;for(o=0;o<r;o+=1)n[o]=Math.floor(n[o]/i)*i};VS.Posterize=gxe;yk.Factory.addGetterSetter(hxe.Node,"levels",.5,(0,pxe.getNumberValidator)(),yk.Factory.afterSetFilter);var jS={};Object.defineProperty(jS,"__esModule",{value:!0});jS.RGB=void 0;const n_=nt,kE=fn,mxe=ke,yxe=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s,a;for(s=0;s<n;s+=4)a=(.34*t[s]+.5*t[s+1]+.16*t[s+2])/255,t[s]=a*r,t[s+1]=a*i,t[s+2]=a*o,t[s+3]=t[s+3]};jS.RGB=yxe;n_.Factory.addGetterSetter(kE.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});n_.Factory.addGetterSetter(kE.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});n_.Factory.addGetterSetter(kE.Node,"blue",0,mxe.RGBComponent,n_.Factory.afterSetFilter);var GS={};Object.defineProperty(GS,"__esModule",{value:!0});GS.RGBA=void 0;const Dg=nt,HS=fn,vxe=ke,_xe=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a<n;a+=4)l=1-s,t[a]=r*s+t[a]*l,t[a+1]=i*s+t[a+1]*l,t[a+2]=o*s+t[a+2]*l};GS.RGBA=_xe;Dg.Factory.addGetterSetter(HS.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Dg.Factory.addGetterSetter(HS.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Dg.Factory.addGetterSetter(HS.Node,"blue",0,vxe.RGBComponent,Dg.Factory.afterSetFilter);Dg.Factory.addGetterSetter(HS.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var WS={};Object.defineProperty(WS,"__esModule",{value:!0});WS.Sepia=void 0;const bxe=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r<n;r+=4)i=t[r+0],o=t[r+1],s=t[r+2],t[r+0]=Math.min(255,i*.393+o*.769+s*.189),t[r+1]=Math.min(255,i*.349+o*.686+s*.168),t[r+2]=Math.min(255,i*.272+o*.534+s*.131)};WS.Sepia=bxe;var qS={};Object.defineProperty(qS,"__esModule",{value:!0});qS.Solarize=void 0;const Sxe=function(e){var t=e.data,n=e.width,r=e.height,i=n*4,o=r;do{var s=(o-1)*i,a=n;do{var l=s+(a-1)*4,u=t[l],d=t[l+1],f=t[l+2];u>127&&(u=255-u),d>127&&(d=255-d),f>127&&(f=255-f),t[l]=u,t[l+1]=d,t[l+2]=f}while(--a)}while(--o)};qS.Solarize=Sxe;var KS={};Object.defineProperty(KS,"__esModule",{value:!0});KS.Threshold=void 0;const vk=nt,wxe=fn,xxe=ke,Cxe=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=1)n[i]=n[i]<t?0:255};KS.Threshold=Cxe;vk.Factory.addGetterSetter(wxe.Node,"threshold",.5,(0,xxe.getNumberValidator)(),vk.Factory.afterSetFilter);Object.defineProperty(rS,"__esModule",{value:!0});rS.Konva=void 0;const _k=WU,Txe=uS,Exe=fS,Axe=gS,Pxe=mS,Rxe=yS,bk=Rf,Oxe=Rm,kxe=Hf,Ixe=km,Mxe=bS,Nxe=SS,Lxe=wS,Dxe=xS,$xe=uc,Fxe=CS,Bxe=TS,Uxe=ES,zxe=PS,Vxe=RS,jxe=OS,Gxe=kS,Hxe=MS,Wxe=NS,qxe=LS,Kxe=DS,Xxe=$S,Yxe=FS,Qxe=BS,Zxe=US,Jxe=zS,eCe=VS,tCe=jS,nCe=GS,rCe=WS,iCe=qS,oCe=KS;rS.Konva=_k.Konva.Util._assign(_k.Konva,{Arc:Txe.Arc,Arrow:Exe.Arrow,Circle:Axe.Circle,Ellipse:Pxe.Ellipse,Image:Rxe.Image,Label:bk.Label,Tag:bk.Tag,Line:Oxe.Line,Path:kxe.Path,Rect:Ixe.Rect,RegularPolygon:Mxe.RegularPolygon,Ring:Nxe.Ring,Sprite:Lxe.Sprite,Star:Dxe.Star,Text:$xe.Text,TextPath:Fxe.TextPath,Transformer:Bxe.Transformer,Wedge:Uxe.Wedge,Filters:{Blur:zxe.Blur,Brighten:Vxe.Brighten,Contrast:jxe.Contrast,Emboss:Gxe.Emboss,Enhance:Hxe.Enhance,Grayscale:Wxe.Grayscale,HSL:qxe.HSL,HSV:Kxe.HSV,Invert:Xxe.Invert,Kaleidoscope:Yxe.Kaleidoscope,Mask:Qxe.Mask,Noise:Zxe.Noise,Pixelate:Jxe.Pixelate,Posterize:eCe.Posterize,RGB:tCe.RGB,RGBA:nCe.RGBA,Sepia:rCe.Sepia,Solarize:iCe.Solarize,Threshold:oCe.Threshold}});var 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m=d?u:Da.shouldUseCpuNoise,v=i.model_type==="onnx",x=v?gE:Gr,_=v?"onnx_model_loader":"main_model_loader",b=v?{type:"t2l_onnx",id:cr,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"t2l",id:cr,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a},y={id:mE,nodes:{[gt]:{type:v?"prompt_onnx":"compel",id:gt,is_intermediate:!0,prompt:n},[_t]:{type:v?"prompt_onnx":"compel",id:_t,is_intermediate:!0,prompt:r},[yt]:{type:"noise",id:yt,is_intermediate:!0,width:f,height:p,use_cpu:m},[b.id]:b,[x]:{type:_,id:x,is_intermediate:!0,model:i},[qt]:{type:"clip_skip",id:qt,is_intermediate:!0,skipped_layers:l},[Rt]:{type:v?"l2i_onnx":"l2i",id:Rt,is_intermediate:!g}},edges:[{source:{node_id:_t,field:"conditioning"},destination:{node_id:cr,field:"negative_conditioning"}},{source:{node_id:gt,field:"conditioning"},destination:{node_id:cr,field:"positive_conditioning"}},{source:{node_id:x,field:"clip"},destination:{node_id:qt,field:"clip"}},{source:{node_id:qt,field:"clip"},destination:{node_id:gt,field:"clip"}},{source:{node_id:qt,field:"clip"},destination:{node_id:_t,field:"clip"}},{source:{node_id:x,field:"unet"},destination:{node_id:cr,field:"unet"}},{source:{node_id:cr,field:"latents"},destination:{node_id:Rt,field:"latents"}},{source:{node_id:yt,field:"noise"},destination:{node_id:cr,field:"noise"}}]};return y.nodes[Ot]={id:Ot,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,height:p,width:f,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:m?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:l},y.edges.push({source:{node_id:Ot,field:"metadata"},destination:{node_id:Rt,field:"metadata"}}),Im(e,y,cr,x),Mm(e,y,x),qf(e,y),XS(e,y,cr),e.system.shouldUseNSFWChecker&&Ec(e,y),e.system.shouldUseWatermarker&&Ac(e,y),y},_Ce=(e,t,n,r)=>{let i;if(t==="txt2img")i=vCe(e);else if(t==="img2img"){if(!n)throw new Error("Missing canvas init image");i=mCe(e,n)}else{if(!n||!r)throw new Error("Missing canvas init and mask images");i=yCe(e,n,r)}return i},bCe=()=>{Pe({predicate:e=>Em.match(e)&&e.payload==="unifiedCanvas",effect:async(e,{getState:t,dispatch:n,take:r})=>{const i=Ie("session"),o=t(),{layerState:s,boundingBoxCoordinates:a,boundingBoxDimensions:l,isMaskEnabled:u,shouldPreserveMaskedArea:d}=o.canvas,f=await dCe(s,a,l,u,d);if(!f){i.error("Unable 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addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=Dz,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new h3e[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Sd.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;Sd.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",f=>{if(!r)if(f.type==="pong"&&f.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;Sd.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(d(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const p=new Error("probe error");p.transport=n.name,this.emitReserved("upgradeError",p)}}))};function o(){r||(r=!0,d(),n.close(),n=null)}const s=f=>{const p=new Error("probe error: "+f);p.transport=n.name,o(),this.emitReserved("upgradeError",p)};function a(){s("transport closed")}function l(){s("socket closed")}function u(f){n&&f.name!==n.name&&o()}const d=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",Sd.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=JCe(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){Sd.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};Vz.protocol=Dz;function v3e(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=h5(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const _3e=typeof ArrayBuffer=="function",b3e=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,jz=Object.prototype.toString,S3e=typeof Blob=="function"||typeof Blob<"u"&&jz.call(Blob)==="[object BlobConstructor]",w3e=typeof File=="function"||typeof File<"u"&&jz.call(File)==="[object FileConstructor]";function DE(e){return _3e&&(e instanceof ArrayBuffer||b3e(e))||S3e&&e instanceof Blob||w3e&&e instanceof File}function xv(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(xv(e[n]))return!0;return!1}if(DE(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return xv(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&xv(e[n]))return!0;return!1}function x3e(e){const t=[],n=e.data,r=e;return r.data=p5(n,t),r.attachments=t.length,{packet:r,buffers:t}}function p5(e,t){if(!e)return e;if(DE(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=p5(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=p5(e[r],t));return n}return e}function C3e(e,t){return e.data=g5(e.data,t),delete e.attachments,e}function g5(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=g5(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=g5(e[n],t));return e}const T3e=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],E3e=5;var pt;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(pt||(pt={}));class A3e{constructor(t){this.replacer=t}encode(t){return(t.type===pt.EVENT||t.type===pt.ACK)&&xv(t)?this.encodeAsBinary({type:t.type===pt.EVENT?pt.BINARY_EVENT:pt.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===pt.BINARY_EVENT||t.type===pt.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=x3e(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function Ik(e){return Object.prototype.toString.call(e)==="[object Object]"}class $E extends Hn{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===pt.BINARY_EVENT;r||n.type===pt.BINARY_ACK?(n.type=r?pt.EVENT:pt.ACK,this.reconstructor=new P3e(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(DE(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(pt[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===pt.BINARY_EVENT||r.type===pt.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if($E.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case pt.CONNECT:return Ik(n);case pt.DISCONNECT:return n===void 0;case pt.CONNECT_ERROR:return typeof n=="string"||Ik(n);case pt.EVENT:case pt.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&T3e.indexOf(n[0])===-1);case pt.ACK:case pt.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class P3e{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=C3e(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const R3e=Object.freeze(Object.defineProperty({__proto__:null,Decoder:$E,Encoder:A3e,get PacketType(){return pt},protocol:E3e},Symbol.toStringTag,{value:"Module"}));function zo(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const O3e=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class Gz extends Hn{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[zo(t,"open",this.onopen.bind(this)),zo(t,"packet",this.onpacket.bind(this)),zo(t,"error",this.onerror.bind(this)),zo(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(O3e.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:pt.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:pt.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case pt.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case pt.EVENT:case pt.BINARY_EVENT:this.onevent(t);break;case pt.ACK:case pt.BINARY_ACK:this.onack(t);break;case pt.DISCONNECT:this.ondisconnect();break;case pt.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:pt.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:pt.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const n=this._anyOutgoingListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const n=this._anyOutgoingListeners.slice();for(const r of n)r.apply(this,t.data)}}}function Kf(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}Kf.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),n=Math.floor(t*this.jitter*e);e=Math.floor(t*10)&1?e+n:e-n}return Math.min(e,this.max)|0};Kf.prototype.reset=function(){this.attempts=0};Kf.prototype.setMin=function(e){this.ms=e};Kf.prototype.setMax=function(e){this.max=e};Kf.prototype.setJitter=function(e){this.jitter=e};class m5 extends Hn{constructor(t,n){var r;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(n=t,t=void 0),n=n||{},n.path=n.path||"/socket.io",this.opts=n,YS(this,n),this.reconnection(n.reconnection!==!1),this.reconnectionAttempts(n.reconnectionAttempts||1/0),this.reconnectionDelay(n.reconnectionDelay||1e3),this.reconnectionDelayMax(n.reconnectionDelayMax||5e3),this.randomizationFactor((r=n.randomizationFactor)!==null&&r!==void 0?r:.5),this.backoff=new Kf({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(n.timeout==null?2e4:n.timeout),this._readyState="closed",this.uri=t;const i=n.parser||R3e;this.encoder=new i.Encoder,this.decoder=new i.Decoder,this._autoConnect=n.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var n;return t===void 0?this._reconnectionDelay:(this._reconnectionDelay=t,(n=this.backoff)===null||n===void 0||n.setMin(t),this)}randomizationFactor(t){var n;return t===void 0?this._randomizationFactor:(this._randomizationFactor=t,(n=this.backoff)===null||n===void 0||n.setJitter(t),this)}reconnectionDelayMax(t){var n;return t===void 0?this._reconnectionDelayMax:(this._reconnectionDelayMax=t,(n=this.backoff)===null||n===void 0||n.setMax(t),this)}timeout(t){return arguments.length?(this._timeout=t,this):this._timeout}maybeReconnectOnOpen(){!this._reconnecting&&this._reconnection&&this.backoff.attempts===0&&this.reconnect()}open(t){if(~this._readyState.indexOf("open"))return this;this.engine=new Vz(this.uri,this.opts);const n=this.engine,r=this;this._readyState="opening",this.skipReconnect=!1;const i=zo(n,"open",function(){r.onopen(),t&&t()}),o=a=>{this.cleanup(),this._readyState="closed",this.emitReserved("error",a),t?t(a):this.maybeReconnectOnOpen()},s=zo(n,"error",o);if(this._timeout!==!1){const 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s=this.originPoint[t]+r[t];this.constraints&&this.constraints[t]&&(s=Y6e(s,this.constraints[t],this.elastic[t])),o.set(s)}resolveConstraints(){const{dragConstraints:t,dragElastic:n}=this.getProps(),{layout:r}=this.visualElement.projection||{},i=this.constraints;t&&$d(t)?this.constraints||(this.constraints=this.resolveRefConstraints()):t&&r?this.constraints=Q6e(r.layoutBox,t):this.constraints=!1,this.elastic=tAe(n),i!==this.constraints&&r&&this.constraints&&!this.hasMutatedConstraints&&ps(o=>{this.getAxisMotionValue(o)&&(this.constraints[o]=eAe(r.layoutBox[o],this.constraints[o]))})}resolveRefConstraints(){const{dragConstraints:t,onMeasureDragConstraints:n}=this.getProps();if(!t||!$d(t))return!1;const r=t.current,{projection:i}=this.visualElement;if(!i||!i.layout)return!1;const o=aAe(r,i.root,this.visualElement.getTransformPagePoint());let s=Z6e(i.layout.layoutBox,o);if(n){const a=n(nAe(s));this.hasMutatedConstraints=!!a,a&&(s=xj(a))}return s}startAnimation(t){const{drag:n,dragMomentum:r,dragElastic:i,dragTransition:o,dragSnapToOrigin:s,onDragTransitionEnd:a}=this.getProps(),l=this.constraints||{},u=ps(d=>{if(!q0(d,n,this.currentDirection))return;let f=l&&l[d]||{};s&&(f={min:0,max:0});const p=i?200:1e6,g=i?40:1e7,m={type:"inertia",velocity:r?t[d]:0,bounceStiffness:p,bounceDamping:g,timeConstant:750,restDelta:1,restSpeed:10,...o,...f};return this.startAxisValueAnimation(d,m)});return Promise.all(u).then(a)}startAxisValueAnimation(t,n){const r=this.getAxisMotionValue(t);return r.start(l6(t,r,0,n))}stopAnimation(){ps(t=>this.getAxisMotionValue(t).stop())}getAxisMotionValue(t){const n="_drag"+t.toUpperCase(),r=this.visualElement.getProps(),i=r[n];return i||this.visualElement.getValue(t,(r.initial?r.initial[t]:void 0)||0)}snapToCursor(t){ps(n=>{const{drag:r}=this.getProps();if(!q0(n,r,this.currentDirection))return;const{projection:i}=this.visualElement,o=this.getAxisMotionValue(n);if(i&&i.layout){const{min:s,max:a}=i.layout.layoutBox[n];o.set(t[n]-vn(s,a,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!$d(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};ps(s=>{const a=this.getAxisMotionValue(s);if(a){const l=a.get();i[s]=J6e({min:l,max:l},this.constraints[s])}});const{transformTemplate:o}=this.visualElement.getProps();this.visualElement.current.style.transform=o?o({},""):"none",r.root&&r.root.updateScroll(),r.updateLayout(),this.resolveConstraints(),ps(s=>{if(!q0(s,t,null))return;const a=this.getAxisMotionValue(s),{min:l,max:u}=this.constraints[s];a.set(vn(l,u,i[s]))})}addListeners(){if(!this.visualElement.current)return;lAe.set(this.visualElement,this);const t=this.visualElement.current,n=wa(t,"pointerdown",l=>{const{drag:u,dragListener:d=!0}=this.getProps();u&&d&&this.start(l)}),r=()=>{const{dragConstraints:l}=this.getProps();$d(l)&&(this.constraints=this.resolveRefConstraints())},{projection:i}=this.visualElement,o=i.addEventListener("measure",r);i&&!i.layout&&(i.root&&i.root.updateScroll(),i.updateLayout()),r();const s=ya(window,"resize",()=>this.scalePositionWithinConstraints()),a=i.addEventListener("didUpdate",({delta:l,hasLayoutChanged:u})=>{this.isDragging&&u&&(ps(d=>{const f=this.getAxisMotionValue(d);f&&(this.originPoint[d]+=l[d].translate,f.set(f.get()+l[d].translate))}),this.visualElement.render())});return()=>{s(),n(),o(),a&&a()}}getProps(){const t=this.visualElement.getProps(),{drag:n=!1,dragDirectionLock:r=!1,dragPropagation:i=!1,dragConstraints:o=!1,dragElastic:s=N5,dragMomentum:a=!0}=t;return{...t,drag:n,dragDirectionLock:r,dragPropagation:i,dragConstraints:o,dragElastic:s,dragMomentum:a}}}function q0(e,t,n){return(t===!0||t===e)&&(n===null||n===e)}function cAe(e,t=10){let n=null;return Math.abs(e.y)>t?n="y":Math.abs(e.x)>t&&(n="x"),n}class dAe extends uu{constructor(t){super(t),this.removeGroupControls=Gn,this.removeListeners=Gn,this.controls=new uAe(t)}mount(){const{dragControls:t}=this.node.getProps();t&&(this.removeGroupControls=t.subscribe(this.controls)),this.removeListeners=this.controls.addListeners()||Gn}unmount(){this.removeGroupControls(),this.removeListeners()}}const II=e=>(t,n)=>{e&&dn.update(()=>e(t,n))};class fAe extends uu{constructor(){super(...arguments),this.removePointerDownListener=Gn}onPointerDown(t){this.session=new Sj(t,this.createPanHandlers(),{transformPagePoint:this.node.getTransformPagePoint()})}createPanHandlers(){const{onPanSessionStart:t,onPanStart:n,onPan:r,onPanEnd:i}=this.node.getProps();return{onSessionStart:II(t),onStart:II(n),onMove:r,onEnd:(o,s)=>{delete this.session,i&&dn.update(()=>i(o,s))}}}mount(){this.removePointerDownListener=wa(this.node.current,"pointerdown",t=>this.onPointerDown(t))}update(){this.session&&this.session.updateHandlers(this.createPanHandlers())}unmount(){this.removePointerDownListener(),this.session&&this.session.end()}}function hAe(){const e=L.useContext(Lm);if(e===null)return[!0,null];const{isPresent:t,onExitComplete:n,register:r}=e,i=L.useId();return L.useEffect(()=>r(i),[]),!t&&n?[!1,()=>n&&n(i)]:[!0]}function TMe(){return pAe(L.useContext(Lm))}function pAe(e){return e===null?!0:e.isPresent}const kv={hasAnimatedSinceResize:!0,hasEverUpdated:!1};function MI(e,t){return t.max===t.min?0:e/(t.max-t.min)*100}const op={correct:(e,t)=>{if(!t.target)return e;if(typeof e=="string")if(Be.test(e))e=parseFloat(e);else return e;const n=MI(e,t.target.x),r=MI(e,t.target.y);return`${n}% ${r}%`}},gAe={correct:(e,{treeScale:t,projectionDelta:n})=>{const r=e,i=Xl.parse(e);if(i.length>5)return r;const o=Xl.createTransformer(e),s=typeof i[0]!="number"?1:0,a=n.x.scale*t.x,l=n.y.scale*t.y;i[0+s]/=a,i[1+s]/=l;const u=vn(a,l,.5);return typeof i[2+s]=="number"&&(i[2+s]/=u),typeof i[3+s]=="number"&&(i[3+s]/=u),o(i)}};class mAe extends Lt.Component{componentDidMount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r,layoutId:i}=this.props,{projection:o}=t;xTe(yAe),o&&(n.group&&n.group.add(o),r&&r.register&&i&&r.register(o),o.root.didUpdate(),o.addEventListener("animationComplete",()=>{this.safeToRemove()}),o.setOptions({...o.options,onExitComplete:()=>this.safeToRemove()})),kv.hasEverUpdated=!0}getSnapshotBeforeUpdate(t){const{layoutDependency:n,visualElement:r,drag:i,isPresent:o}=this.props,s=r.projection;return s&&(s.isPresent=o,i||t.layoutDependency!==n||n===void 0?s.willUpdate():this.safeToRemove(),t.isPresent!==o&&(o?s.promote():s.relegate()||dn.postRender(()=>{const a=s.getStack();(!a||!a.members.length)&&this.safeToRemove()}))),null}componentDidUpdate(){const{projection:t}=this.props.visualElement;t&&(t.root.didUpdate(),queueMicrotask(()=>{!t.currentAnimation&&t.isLead()&&this.safeToRemove()}))}componentWillUnmount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r}=this.props,{projection:i}=t;i&&(i.scheduleCheckAfterUnmount(),n&&n.group&&n.group.remove(i),r&&r.deregister&&r.deregister(i))}safeToRemove(){const{safeToRemove:t}=this.props;t&&t()}render(){return null}}function Aj(e){const[t,n]=hAe(),r=L.useContext(KE);return Lt.createElement(mAe,{...e,layoutGroup:r,switchLayoutGroup:L.useContext(wV),isPresent:t,safeToRemove:n})}const yAe={borderRadius:{...op,applyTo:["borderTopLeftRadius","borderTopRightRadius","borderBottomLeftRadius","borderBottomRightRadius"]},borderTopLeftRadius:op,borderTopRightRadius:op,borderBottomLeftRadius:op,borderBottomRightRadius:op,boxShadow:gAe},Pj=["TopLeft","TopRight","BottomLeft","BottomRight"],vAe=Pj.length,NI=e=>typeof e=="string"?parseFloat(e):e,LI=e=>typeof e=="number"||Be.test(e);function _Ae(e,t,n,r,i,o){i?(e.opacity=vn(0,n.opacity!==void 0?n.opacity:1,bAe(r)),e.opacityExit=vn(t.opacity!==void 0?t.opacity:1,0,SAe(r))):o&&(e.opacity=vn(t.opacity!==void 0?t.opacity:1,n.opacity!==void 0?n.opacity:1,r));for(let s=0;s<vAe;s++){const a=`border${Pj[s]}Radius`;let l=DI(t,a),u=DI(n,a);if(l===void 0&&u===void 0)continue;l||(l=0),u||(u=0),l===0||u===0||LI(l)===LI(u)?(e[a]=Math.max(vn(NI(l),NI(u),r),0),(Is.test(u)||Is.test(l))&&(e[a]+="%")):e[a]=u}(t.rotate||n.rotate)&&(e.rotate=vn(t.rotate||0,n.rotate||0,r))}function DI(e,t){return e[t]!==void 0?e[t]:e.borderRadius}const bAe=Rj(0,.5,i6),SAe=Rj(.5,.95,Gn);function Rj(e,t,n){return r=>r<e?0:r>t?1:n(jg(e,t,r))}function $I(e,t){e.min=t.min,e.max=t.max}function fo(e,t){$I(e.x,t.x),$I(e.y,t.y)}function FI(e,t,n,r,i){return e-=t,e=g_(e,1/n,r),i!==void 0&&(e=g_(e,1/i,r)),e}function wAe(e,t=0,n=1,r=.5,i,o=e,s=e){if(Is.test(t)&&(t=parseFloat(t),t=vn(s.min,s.max,t/100)-s.min),typeof t!="number")return;let a=vn(o.min,o.max,r);e===o&&(a-=t),e.min=FI(e.min,t,n,a,i),e.max=FI(e.max,t,n,a,i)}function BI(e,t,[n,r,i],o,s){wAe(e,t[n],t[r],t[i],t.scale,o,s)}const xAe=["x","scaleX","originX"],CAe=["y","scaleY","originY"];function UI(e,t,n,r){BI(e.x,t,xAe,n?n.x:void 0,r?r.x:void 0),BI(e.y,t,CAe,n?n.y:void 0,r?r.y:void 0)}function zI(e){return e.translate===0&&e.scale===1}function Oj(e){return zI(e.x)&&zI(e.y)}function $5(e,t){return e.x.min===t.x.min&&e.x.max===t.x.max&&e.y.min===t.y.min&&e.y.max===t.y.max}function VI(e){return Xi(e.x)/Xi(e.y)}class TAe{constructor(){this.members=[]}add(t){u6(this.members,t),t.scheduleRender()}remove(t){if(c6(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function jI(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) `),(t.x!==1||t.y!==1)&&(r+=`scale(${1/t.x}, ${1/t.y}) `),n){const{rotate:l,rotateX:u,rotateY:d}=n;l&&(r+=`rotate(${l}deg) `),u&&(r+=`rotateX(${u}deg) `),d&&(r+=`rotateY(${d}deg) `)}const s=e.x.scale*t.x,a=e.y.scale*t.y;return(s!==1||a!==1)&&(r+=`scale(${s}, ${a})`),r||"none"}const EAe=(e,t)=>e.depth-t.depth;class AAe{constructor(){this.children=[],this.isDirty=!1}add(t){u6(this.children,t),this.isDirty=!0}remove(t){c6(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(EAe),this.isDirty=!1,this.children.forEach(t)}}function PAe(e,t){const n=performance.now(),r=({timestamp:i})=>{const o=i-n;o>=t&&(Ia(r),e(o-t))};return dn.read(r,!0),()=>Ia(r)}function RAe(e){window.MotionDebug&&window.MotionDebug.record(e)}function OAe(e){return e instanceof SVGElement&&e.tagName!=="svg"}function kAe(e,t,n){const r=ki(e)?e:Mf(e);return r.start(l6("",r,t,n)),r.animation}const GI=["","X","Y","Z"],HI=1e3;let IAe=0;const Ou={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function kj({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(s={},a=t==null?void 0:t()){this.id=IAe++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Ou.totalNodes=Ou.resolvedTargetDeltas=Ou.recalculatedProjection=0,this.nodes.forEach(LAe),this.nodes.forEach(UAe),this.nodes.forEach(zAe),this.nodes.forEach(DAe),RAe(Ou)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new AAe)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new d6),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=OAe(s),this.instance=s;const{layoutId:l,layout:u,visualElement:d}=this.options;if(d&&!d.current&&d.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let f;const p=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,f&&f(),f=PAe(p,250),kv.hasAnimatedSinceResize&&(kv.hasAnimatedSinceResize=!1,this.nodes.forEach(qI))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&d&&(l||u)&&this.addEventListener("didUpdate",({delta:f,hasLayoutChanged:p,hasRelativeTargetChanged:g,layout:m})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const v=this.options.transition||d.getDefaultTransition()||WAe,{onLayoutAnimationStart:x,onLayoutAnimationComplete:_}=d.getProps(),b=!this.targetLayout||!$5(this.targetLayout,m)||g,y=!p&&g;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||y||p&&(b||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(f,y);const S={...yj(v,"layout"),onPlay:x,onComplete:_};(d.shouldReduceMotion||this.options.layoutRoot)&&(S.delay=0,S.type=!1),this.startAnimation(S)}else p||qI(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=m})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,Ia(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(VAe),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let d=0;d<this.path.length;d++){const f=this.path[d];f.shouldResetTransform=!0,f.updateScroll("snapshot"),f.options.layoutRoot&&f.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(WI);return}this.isUpdating||this.nodes.forEach(FAe),this.isUpdating=!1,this.nodes.forEach(BAe),this.nodes.forEach(MAe),this.nodes.forEach(NAe),this.clearAllSnapshots();const a=performance.now();zr.delta=Kl(0,1e3/60,a-zr.timestamp),zr.timestamp=a,zr.isProcessing=!0,Yx.update.process(zr),Yx.preRender.process(zr),Yx.render.process(zr),zr.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach($Ae),this.sharedNodes.forEach(jAe)}scheduleUpdateProjection(){dn.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){dn.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=Bn(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!Oj(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,d=u!==this.prevTransformTemplateValue;s&&(a||Ru(this.latestValues)||d)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),qAe(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return Bn();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(fl(a.x,l.offset.x),fl(a.y,l.offset.y)),a}removeElementScroll(s){const a=Bn();fo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:d,options:f}=u;if(u!==this.root&&d&&f.layoutScroll){if(d.isRoot){fo(a,s);const{scroll:p}=this.root;p&&(fl(a.x,-p.offset.x),fl(a.y,-p.offset.y))}fl(a.x,d.offset.x),fl(a.y,d.offset.y)}}return a}applyTransform(s,a=!1){const l=Bn();fo(l,s);for(let u=0;u<this.path.length;u++){const d=this.path[u];!a&&d.options.layoutScroll&&d.scroll&&d!==d.root&&Ud(l,{x:-d.scroll.offset.x,y:-d.scroll.offset.y}),Ru(d.latestValues)&&Ud(l,d.latestValues)}return Ru(this.latestValues)&&Ud(l,this.latestValues),l}removeTransform(s){const a=Bn();fo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!Ru(u.latestValues))continue;L5(u.latestValues)&&u.updateSnapshot();const d=Bn(),f=u.measurePageBox();fo(d,f),UI(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,d)}return Ru(this.latestValues)&&UI(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==zr.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:f,layoutId:p}=this.options;if(!(!this.layout||!(f||p))){if(this.resolvedRelativeTargetAt=zr.timestamp,!this.targetDelta&&!this.relativeTarget){const g=this.getClosestProjectingParent();g&&g.layout&&this.animationProgress!==1?(this.relativeParent=g,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Bn(),this.relativeTargetOrigin=Bn(),Mp(this.relativeTargetOrigin,this.layout.layoutBox,g.layout.layoutBox),fo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=Bn(),this.targetWithTransforms=Bn()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),X6e(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):fo(this.target,this.layout.layoutBox),Tj(this.target,this.targetDelta)):fo(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const g=this.getClosestProjectingParent();g&&!!g.resumingFrom==!!this.resumingFrom&&!g.options.layoutScroll&&g.target&&this.animationProgress!==1?(this.relativeParent=g,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Bn(),this.relativeTargetOrigin=Bn(),Mp(this.relativeTargetOrigin,this.target,g.target),fo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Ou.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||L5(this.parent.latestValues)||Cj(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===zr.timestamp&&(u=!1),u)return;const{layout:d,layoutId:f}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(d||f))return;fo(this.layoutCorrected,this.layout.layoutBox);const p=this.treeScale.x,g=this.treeScale.y;iAe(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:m}=a;if(!m){this.projectionTransform&&(this.projectionDelta=Bd(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=Bd(),this.projectionDeltaWithTransform=Bd());const v=this.projectionTransform;Ip(this.projectionDelta,this.layoutCorrected,m,this.latestValues),this.projectionTransform=jI(this.projectionDelta,this.treeScale),(this.projectionTransform!==v||this.treeScale.x!==p||this.treeScale.y!==g)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",m)),Ou.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},d={...this.latestValues},f=Bd();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const p=Bn(),g=l?l.source:void 0,m=this.layout?this.layout.source:void 0,v=g!==m,x=this.getStack(),_=!x||x.members.length<=1,b=!!(v&&!_&&this.options.crossfade===!0&&!this.path.some(HAe));this.animationProgress=0;let y;this.mixTargetDelta=S=>{const C=S/1e3;KI(f.x,s.x,C),KI(f.y,s.y,C),this.setTargetDelta(f),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Mp(p,this.layout.layoutBox,this.relativeParent.layout.layoutBox),GAe(this.relativeTarget,this.relativeTargetOrigin,p,C),y&&$5(this.relativeTarget,y)&&(this.isProjectionDirty=!1),y||(y=Bn()),fo(y,this.relativeTarget)),v&&(this.animationValues=d,_Ae(d,u,this.latestValues,C,b,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=C},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(Ia(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=dn.update(()=>{kv.hasAnimatedSinceResize=!0,this.currentAnimation=kAe(0,HI,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(HI),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:d}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&Ij(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Bn();const f=Xi(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+f;const p=Xi(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+p}fo(a,l),Ud(a,d),Ip(this.projectionDeltaWithTransform,this.layoutCorrected,a,d)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new TAe),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let d=0;d<GI.length;d++){const f="rotate"+GI[d];l[f]&&(u[f]=l[f],s.setStaticValue(f,0))}s.render();for(const d in u)s.setStaticValue(d,u[d]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const d=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=Ov(s.pointerEvents)||"",u.transform=d?d(this.latestValues,""):"none",u;const f=this.getLead();if(!this.projectionDelta||!this.layout||!f.target){const v={};return this.options.layoutId&&(v.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,v.pointerEvents=Ov(s.pointerEvents)||""),this.hasProjected&&!Ru(this.latestValues)&&(v.transform=d?d({},""):"none",this.hasProjected=!1),v}const p=f.animationValues||f.latestValues;this.applyTransformsToTarget(),u.transform=jI(this.projectionDeltaWithTransform,this.treeScale,p),d&&(u.transform=d(p,u.transform));const{x:g,y:m}=this.projectionDelta;u.transformOrigin=`${g.origin*100}% ${m.origin*100}% 0`,f.animationValues?u.opacity=f===this?(l=(a=p.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:p.opacityExit:u.opacity=f===this?p.opacity!==void 0?p.opacity:"":p.opacityExit!==void 0?p.opacityExit:0;for(const v in l_){if(p[v]===void 0)continue;const{correct:x,applyTo:_}=l_[v],b=u.transform==="none"?p[v]:x(p[v],f);if(_){const y=_.length;for(let S=0;S<y;S++)u[_[S]]=b}else u[v]=b}return this.options.layoutId&&(u.pointerEvents=f===this?Ov(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(WI),this.root.sharedNodes.clear()}}}function MAe(e){e.updateLayout()}function NAe(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?ps(f=>{const p=s?n.measuredBox[f]:n.layoutBox[f],g=Xi(p);p.min=r[f].min,p.max=p.min+g}):Ij(o,n.layoutBox,r)&&ps(f=>{const p=s?n.measuredBox[f]:n.layoutBox[f],g=Xi(r[f]);p.max=p.min+g,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[f].max=e.relativeTarget[f].min+g)});const a=Bd();Ip(a,r,n.layoutBox);const l=Bd();s?Ip(l,e.applyTransform(i,!0),n.measuredBox):Ip(l,r,n.layoutBox);const u=!Oj(a);let d=!1;if(!e.resumeFrom){const f=e.getClosestProjectingParent();if(f&&!f.resumeFrom){const{snapshot:p,layout:g}=f;if(p&&g){const m=Bn();Mp(m,n.layoutBox,p.layoutBox);const v=Bn();Mp(v,r,g.layoutBox),$5(m,v)||(d=!0),f.options.layoutRoot&&(e.relativeTarget=v,e.relativeTargetOrigin=m,e.relativeParent=f)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:d})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function LAe(e){Ou.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function DAe(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function $Ae(e){e.clearSnapshot()}function WI(e){e.clearMeasurements()}function FAe(e){e.isLayoutDirty=!1}function BAe(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function qI(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function UAe(e){e.resolveTargetDelta()}function zAe(e){e.calcProjection()}function VAe(e){e.resetRotation()}function jAe(e){e.removeLeadSnapshot()}function KI(e,t,n){e.translate=vn(t.translate,0,n),e.scale=vn(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function XI(e,t,n,r){e.min=vn(t.min,n.min,r),e.max=vn(t.max,n.max,r)}function GAe(e,t,n,r){XI(e.x,t.x,n.x,r),XI(e.y,t.y,n.y,r)}function HAe(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const WAe={duration:.45,ease:[.4,0,.1,1]};function YI(e){e.min=Math.round(e.min*2)/2,e.max=Math.round(e.max*2)/2}function qAe(e){YI(e.x),YI(e.y)}function Ij(e,t,n){return e==="position"||e==="preserve-aspect"&&!M5(VI(t),VI(n),.2)}const KAe=kj({attachResizeListener:(e,t)=>ya(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),lC={current:void 0},Mj=kj({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!lC.current){const e=new KAe({});e.mount(window),e.setOptions({layoutScroll:!0}),lC.current=e}return lC.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>window.getComputedStyle(e).position==="fixed"}),XAe={pan:{Feature:fAe},drag:{Feature:dAe,ProjectionNode:Mj,MeasureLayout:Aj}},YAe=/var\((--[a-zA-Z0-9-_]+),? ?([a-zA-Z0-9 ()%#.,-]+)?\)/;function QAe(e){const t=YAe.exec(e);if(!t)return[,];const[,n,r]=t;return[n,r]}function F5(e,t,n=1){const[r,i]=QAe(e);if(!r)return;const o=window.getComputedStyle(t).getPropertyValue(r);return o?o.trim():E5(i)?F5(i,t,n+1):i}function ZAe(e,{...t},n){const r=e.current;if(!(r instanceof Element))return{target:t,transitionEnd:n};n&&(n={...n}),e.values.forEach(i=>{const o=i.get();if(!E5(o))return;const s=F5(o,r);s&&i.set(s)});for(const i in t){const o=t[i];if(!E5(o))continue;const s=F5(o,r);s&&(t[i]=s,n||(n={}),n[i]===void 0&&(n[i]=o))}return{target:t,transitionEnd:n}}const JAe=new Set(["width","height","top","left","right","bottom","x","y","translateX","translateY"]),Nj=e=>JAe.has(e),ePe=e=>Object.keys(e).some(Nj),QI=e=>e===Oc||e===Be,ZI=(e,t)=>parseFloat(e.split(", ")[t]),JI=(e,t)=>(n,{transform:r})=>{if(r==="none"||!r)return 0;const i=r.match(/^matrix3d\((.+)\)$/);if(i)return ZI(i[1],t);{const o=r.match(/^matrix\((.+)\)$/);return o?ZI(o[1],e):0}},tPe=new Set(["x","y","z"]),nPe=Dm.filter(e=>!tPe.has(e));function rPe(e){const t=[];return nPe.forEach(n=>{const r=e.getValue(n);r!==void 0&&(t.push([n,r.get()]),r.set(n.startsWith("scale")?1:0))}),t.length&&e.render(),t}const Nf={width:({x:e},{paddingLeft:t="0",paddingRight:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),height:({y:e},{paddingTop:t="0",paddingBottom:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),top:(e,{top:t})=>parseFloat(t),left:(e,{left:t})=>parseFloat(t),bottom:({y:e},{top:t})=>parseFloat(t)+(e.max-e.min),right:({x:e},{left:t})=>parseFloat(t)+(e.max-e.min),x:JI(4,13),y:JI(5,14)};Nf.translateX=Nf.x;Nf.translateY=Nf.y;const iPe=(e,t,n)=>{const r=t.measureViewportBox(),i=t.current,o=getComputedStyle(i),{display:s}=o,a={};s==="none"&&t.setStaticValue("display",e.display||"block"),n.forEach(u=>{a[u]=Nf[u](r,o)}),t.render();const l=t.measureViewportBox();return n.forEach(u=>{const d=t.getValue(u);d&&d.jump(a[u]),e[u]=Nf[u](l,o)}),e},oPe=(e,t,n={},r={})=>{t={...t},r={...r};const i=Object.keys(t).filter(Nj);let o=[],s=!1;const a=[];if(i.forEach(l=>{const u=e.getValue(l);if(!e.hasValue(l))return;let d=n[l],f=ip(d);const p=t[l];let g;if(c_(p)){const m=p.length,v=p[0]===null?1:0;d=p[v],f=ip(d);for(let x=v;x<m&&p[x]!==null;x++)g?r6(ip(p[x])===g):g=ip(p[x])}else g=ip(p);if(f!==g)if(QI(f)&&QI(g)){const m=u.get();typeof m=="string"&&u.set(parseFloat(m)),typeof p=="string"?t[l]=parseFloat(p):Array.isArray(p)&&g===Be&&(t[l]=p.map(parseFloat))}else f!=null&&f.transform&&(g!=null&&g.transform)&&(d===0||p===0)?d===0?u.set(g.transform(d)):t[l]=f.transform(p):(s||(o=rPe(e),s=!0),a.push(l),r[l]=r[l]!==void 0?r[l]:t[l],u.jump(p))}),a.length){const l=a.indexOf("height")>=0?window.pageYOffset:null,u=iPe(t,e,a);return o.length&&o.forEach(([d,f])=>{e.getValue(d).set(f)}),e.render(),r2&&l!==null&&window.scrollTo({top:l}),{target:u,transitionEnd:r}}else return{target:t,transitionEnd:r}};function sPe(e,t,n,r){return ePe(t)?oPe(e,t,n,r):{target:t,transitionEnd:r}}const aPe=(e,t,n,r)=>{const i=ZAe(e,t,r);return t=i.target,r=i.transitionEnd,sPe(e,t,n,r)},B5={current:null},Lj={current:!1};function lPe(){if(Lj.current=!0,!!r2)if(window.matchMedia){const e=window.matchMedia("(prefers-reduced-motion)"),t=()=>B5.current=e.matches;e.addListener(t),t()}else B5.current=!1}function uPe(e,t,n){const{willChange:r}=t;for(const i in t){const o=t[i],s=n[i];if(ki(o))e.addValue(i,o),p_(r)&&r.add(i);else if(ki(s))e.addValue(i,Mf(o,{owner:e})),p_(r)&&r.remove(i);else if(s!==o)if(e.hasValue(i)){const a=e.getValue(i);!a.hasAnimated&&a.set(o)}else{const a=e.getStaticValue(i);e.addValue(i,Mf(a!==void 0?a:o,{owner:e}))}}for(const i in n)t[i]===void 0&&e.removeValue(i);return t}const e7=new WeakMap,Dj=Object.keys(Vg),cPe=Dj.length,t7=["AnimationStart","AnimationComplete","Update","BeforeLayoutMeasure","LayoutMeasure","LayoutAnimationStart","LayoutAnimationComplete"],dPe=qE.length;class fPe{constructor({parent:t,props:n,presenceContext:r,reducedMotionConfig:i,visualState:o},s={}){this.current=null,this.children=new Set,this.isVariantNode=!1,this.isControllingVariants=!1,this.shouldReduceMotion=null,this.values=new Map,this.features={},this.valueSubscriptions=new Map,this.prevMotionValues={},this.events={},this.propEventSubscriptions={},this.notifyUpdate=()=>this.notify("Update",this.latestValues),this.render=()=>{this.current&&(this.triggerBuild(),this.renderInstance(this.current,this.renderState,this.props.style,this.projection))},this.scheduleRender=()=>dn.render(this.render,!1,!0);const{latestValues:a,renderState:l}=o;this.latestValues=a,this.baseTarget={...a},this.initialValues=n.initial?{...a}:{},this.renderState=l,this.parent=t,this.props=n,this.presenceContext=r,this.depth=t?t.depth+1:0,this.reducedMotionConfig=i,this.options=s,this.isControllingVariants=o2(n),this.isVariantNode=SV(n),this.isVariantNode&&(this.variantChildren=new Set),this.manuallyAnimateOnMount=!!(t&&t.current);const{willChange:u,...d}=this.scrapeMotionValuesFromProps(n,{});for(const f in d){const p=d[f];a[f]!==void 0&&ki(p)&&(p.set(a[f],!1),p_(u)&&u.add(f))}}scrapeMotionValuesFromProps(t,n){return{}}mount(t){this.current=t,e7.set(t,this),this.projection&&!this.projection.instance&&this.projection.mount(t),this.parent&&this.isVariantNode&&!this.isControllingVariants&&(this.removeFromVariantTree=this.parent.addVariantChild(this)),this.values.forEach((n,r)=>this.bindToMotionValue(r,n)),Lj.current||lPe(),this.shouldReduceMotion=this.reducedMotionConfig==="never"?!1:this.reducedMotionConfig==="always"?!0:B5.current,this.parent&&this.parent.children.add(this),this.update(this.props,this.presenceContext)}unmount(){e7.delete(this.current),this.projection&&this.projection.unmount(),Ia(this.notifyUpdate),Ia(this.render),this.valueSubscriptions.forEach(t=>t()),this.removeFromVariantTree&&this.removeFromVariantTree(),this.parent&&this.parent.children.delete(this);for(const t in this.events)this.events[t].clear();for(const t in 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+          [data-motion-pop-id="${n}"] {
+            position: absolute !important;
+            width: ${o}px !important;
+            height: ${s}px !important;
+            top: ${a}px !important;
+            left: ${l}px !important;
+          }
+        `),()=>{document.head.removeChild(u)}},[t]),L.createElement(SPe,{isPresent:t,childRef:r,sizeRef:i},L.cloneElement(e,{ref:r}))}const uC=({children:e,initial:t,isPresent:n,onExitComplete:r,custom:i,presenceAffectsLayout:o,mode:s})=>{const a=LV(xPe),l=L.useId(),u=L.useMemo(()=>({id:l,initial:t,isPresent:n,custom:i,onExitComplete:d=>{a.set(d,!0);for(const f of a.values())if(!f)return;r&&r()},register:d=>(a.set(d,!1),()=>a.delete(d))}),o?void 0:[n]);return L.useMemo(()=>{a.forEach((d,f)=>a.set(f,!1))},[n]),L.useEffect(()=>{!n&&!a.size&&r&&r()},[n]),s==="popLayout"&&(e=L.createElement(wPe,{isPresent:n},e)),L.createElement(Lm.Provider,{value:u},e)};function xPe(){return new Map}function CPe(e){return L.useEffect(()=>()=>e(),[])}const wd=e=>e.key||"";function TPe(e,t){e.forEach(n=>{const r=wd(n);t.set(r,n)})}function EPe(e){const t=[];return L.Children.forEach(e,n=>{L.isValidElement(n)&&t.push(n)}),t}const 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ue.jsx(cc.div,{ref:t,__css:d,className:u,...l,children:r&&ue.jsx(cc.span,{srOnly:!0,children:r})})});Bj.displayName="Spinner";var U5=Pc(function(t,n){const{htmlWidth:r,htmlHeight:i,alt:o,...s}=t;return ue.jsx("img",{width:r,height:i,ref:n,alt:o,...s})});U5.displayName="NativeImage";function RPe(e){const{loading:t,src:n,srcSet:r,onLoad:i,onError:o,crossOrigin:s,sizes:a,ignoreFallback:l}=e,[u,d]=L.useState("pending");L.useEffect(()=>{d(n?"loading":"pending")},[n]);const f=L.useRef(),p=L.useCallback(()=>{if(!n)return;g();const m=new Image;m.src=n,s&&(m.crossOrigin=s),r&&(m.srcset=r),a&&(m.sizes=a),t&&(m.loading=t),m.onload=v=>{g(),d("loaded"),i==null||i(v)},m.onerror=v=>{g(),d("failed"),o==null||o(v)},f.current=m},[n,s,r,a,i,o,t]),g=()=>{f.current&&(f.current.onload=null,f.current.onerror=null,f.current=null)};return _5e(()=>{if(!l)return u==="loading"&&p(),()=>{g()}},[u,p,l]),l?"loaded":u}var OPe=(e,t)=>e!=="loaded"&&t==="beforeLoadOrError"||e==="failed"&&t==="onError";function 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er;(function(e){e.DragStart="dragStart",e.DragMove="dragMove",e.DragEnd="dragEnd",e.DragCancel="dragCancel",e.DragOver="dragOver",e.RegisterDroppable="registerDroppable",e.SetDroppableDisabled="setDroppableDisabled",e.UnregisterDroppable="unregisterDroppable"})(er||(er={}));function S_(){}function l7(e,t){return L.useMemo(()=>({sensor:e,options:t??{}}),[e,t])}function v8e(){for(var e=arguments.length,t=new Array(e),n=0;n<e;n++)t[n]=arguments[n];return L.useMemo(()=>[...t].filter(r=>r!=null),[...t])}const ns=Object.freeze({x:0,y:0});function _8e(e,t){return Math.sqrt(Math.pow(e.x-t.x,2)+Math.pow(e.y-t.y,2))}function b8e(e,t){const n=qg(e);if(!n)return"0 0";const r={x:(n.x-t.left)/t.width*100,y:(n.y-t.top)/t.height*100};return r.x+"% "+r.y+"%"}function S8e(e,t){let{data:{value:n}}=e,{data:{value:r}}=t;return n-r}function w8e(e,t){let{data:{value:n}}=e,{data:{value:r}}=t;return r-n}function 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u=x8e(a).reduce((f,p)=>f+_8e(r,p),0),d=Number((u/4).toFixed(4));i.push({id:s,data:{droppableContainer:o,value:d}})}}return i.sort(S8e)};function R8e(e,t,n){return{...e,scaleX:t&&n?t.width/n.width:1,scaleY:t&&n?t.height/n.height:1}}function Yj(e,t){return e&&t?{x:e.left-t.left,y:e.top-t.top}:ns}function O8e(e){return function(n){for(var r=arguments.length,i=new Array(r>1?r-1:0),o=1;o<r;o++)i[o-1]=arguments[o];return i.reduce((s,a)=>({...s,top:s.top+e*a.y,bottom:s.bottom+e*a.y,left:s.left+e*a.x,right:s.right+e*a.x}),{...n})}}const k8e=O8e(1);function Qj(e){if(e.startsWith("matrix3d(")){const t=e.slice(9,-1).split(/, /);return{x:+t[12],y:+t[13],scaleX:+t[0],scaleY:+t[5]}}else if(e.startsWith("matrix(")){const t=e.slice(7,-1).split(/, /);return{x:+t[4],y:+t[5],scaleX:+t[0],scaleY:+t[3]}}return null}function I8e(e,t,n){const r=Qj(t);if(!r)return e;const{scaleX:i,scaleY:o,x:s,y:a}=r,l=e.left-s-(1-i)*parseFloat(n),u=e.top-a-(1-o)*parseFloat(n.slice(n.indexOf(" 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n;if(m6(i)&&i.scrollingElement!=null&&!n.includes(i.scrollingElement))return n.push(i.scrollingElement),n;if(!Um(i)||r8e(i)||n.includes(i))return n;const o=fi(e).getComputedStyle(i);return i!==e&&D8e(i,o)&&n.push(i),L8e(i,o)?n:r(i.parentNode)}return e?r(e):n}function Zj(e){const[t]=v6(e,1);return t??null}function dC(e){return!u2||!e?null:Yf(e)?e:g6(e)?m6(e)||e===Qf(e).scrollingElement?window:Um(e)?e:null:null}function Jj(e){return Yf(e)?e.scrollX:e.scrollLeft}function eG(e){return Yf(e)?e.scrollY:e.scrollTop}function q5(e){return{x:Jj(e),y:eG(e)}}var fr;(function(e){e[e.Forward=1]="Forward",e[e.Backward=-1]="Backward"})(fr||(fr={}));function tG(e){return!u2||!e?!1:e===document.scrollingElement}function nG(e){const t={x:0,y:0},n=tG(e)?{height:window.innerHeight,width:window.innerWidth}:{height:e.clientHeight,width:e.clientWidth},r={x:e.scrollWidth-n.width,y:e.scrollHeight-n.height},i=e.scrollTop<=t.y,o=e.scrollLeft<=t.x,s=e.scrollTop>=r.y,a=e.scrollLeft>=r.x;return{isTop:i,isLeft:o,isBottom:s,isRight:a,maxScroll:r,minScroll:t}}const $8e={x:.2,y:.2};function F8e(e,t,n,r,i){let{top:o,left:s,right:a,bottom:l}=n;r===void 0&&(r=10),i===void 0&&(i=$8e);const{isTop:u,isBottom:d,isLeft:f,isRight:p}=nG(e),g={x:0,y:0},m={x:0,y:0},v={height:t.height*i.y,width:t.width*i.x};return!u&&o<=t.top+v.height?(g.y=fr.Backward,m.y=r*Math.abs((t.top+v.height-o)/v.height)):!d&&l>=t.bottom-v.height&&(g.y=fr.Forward,m.y=r*Math.abs((t.bottom-v.height-l)/v.height)),!p&&a>=t.right-v.width?(g.x=fr.Forward,m.x=r*Math.abs((t.right-v.width-a)/v.width)):!f&&s<=t.left+v.width&&(g.x=fr.Backward,m.x=r*Math.abs((t.left+v.width-s)/v.width)),{direction:g,speed:m}}function B8e(e){if(e===document.scrollingElement){const{innerWidth:o,innerHeight:s}=window;return{top:0,left:0,right:o,bottom:s,width:o,height:s}}const{top:t,left:n,right:r,bottom:i}=e.getBoundingClientRect();return{top:t,left:n,right:r,bottom:i,width:e.clientWidth,height:e.clientHeight}}function rG(e){return e.reduce((t,n)=>uf(t,q5(n)),ns)}function U8e(e){return e.reduce((t,n)=>t+Jj(n),0)}function z8e(e){return e.reduce((t,n)=>t+eG(n),0)}function iG(e,t){if(t===void 0&&(t=Vm),!e)return;const{top:n,left:r,bottom:i,right:o}=t(e);Zj(e)&&(i<=0||o<=0||n>=window.innerHeight||r>=window.innerWidth)&&e.scrollIntoView({block:"center",inline:"center"})}const V8e=[["x",["left","right"],U8e],["y",["top","bottom"],z8e]];class _6{constructor(t,n){this.rect=void 0,this.width=void 0,this.height=void 0,this.top=void 0,this.bottom=void 0,this.right=void 0,this.left=void 0;const r=v6(n),i=rG(r);this.rect={...t},this.width=t.width,this.height=t.height;for(const[o,s,a]of V8e)for(const l of 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Qt;(function(e){e.Space="Space",e.Down="ArrowDown",e.Right="ArrowRight",e.Left="ArrowLeft",e.Up="ArrowUp",e.Esc="Escape",e.Enter="Enter"})(Qt||(Qt={}));const oG={start:[Qt.Space,Qt.Enter],cancel:[Qt.Esc],end:[Qt.Space,Qt.Enter]},H8e=(e,t)=>{let{currentCoordinates:n}=t;switch(e.code){case Qt.Right:return{...n,x:n.x+25};case Qt.Left:return{...n,x:n.x-25};case Qt.Down:return{...n,y:n.y+25};case Qt.Up:return{...n,y:n.y-25}}};class sG{constructor(t){this.props=void 0,this.autoScrollEnabled=!1,this.referenceCoordinates=void 0,this.listeners=void 0,this.windowListeners=void 0,this.props=t;const{event:{target:n}}=t;this.props=t,this.listeners=new Np(Qf(n)),this.windowListeners=new Np(fi(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(po.Resize,this.handleCancel),this.windowListeners.add(po.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(po.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&iG(r),n(ns)}handleKeyDown(t){if(y6(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=oG,coordinateGetter:s=H8e,scrollBehavior:a="smooth"}=i,{code:l}=t;if(o.end.includes(l)){this.handleEnd(t);return}if(o.cancel.includes(l)){this.handleCancel(t);return}const{collisionRect:u}=r.current,d=u?{x:u.left,y:u.top}:ns;this.referenceCoordinates||(this.referenceCoordinates=d);const f=s(t,{active:n,context:r.current,currentCoordinates:d});if(f){const p=b_(f,d),g={x:0,y:0},{scrollableAncestors:m}=r.current;for(const v of m){const x=t.code,{isTop:_,isRight:b,isLeft:y,isBottom:S,maxScroll:C,minScroll:T}=nG(v),E=B8e(v),P={x:Math.min(x===Qt.Right?E.right-E.width/2:E.right,Math.max(x===Qt.Right?E.left:E.left+E.width/2,f.x)),y:Math.min(x===Qt.Down?E.bottom-E.height/2:E.bottom,Math.max(x===Qt.Down?E.top:E.top+E.height/2,f.y))},k=x===Qt.Right&&!b||x===Qt.Left&&!y,O=x===Qt.Down&&!S||x===Qt.Up&&!_;if(k&&P.x!==f.x){const M=v.scrollLeft+p.x,G=x===Qt.Right&&M<=C.x||x===Qt.Left&&M>=T.x;if(G&&!p.y){v.scrollTo({left:M,behavior:a});return}G?g.x=v.scrollLeft-M:g.x=x===Qt.Right?v.scrollLeft-C.x:v.scrollLeft-T.x,g.x&&v.scrollBy({left:-g.x,behavior:a});break}else if(O&&P.y!==f.y){const M=v.scrollTop+p.y,G=x===Qt.Down&&M<=C.y||x===Qt.Up&&M>=T.y;if(G&&!p.x){v.scrollTo({top:M,behavior:a});return}G?g.y=v.scrollTop-M:g.y=x===Qt.Down?v.scrollTop-C.y:v.scrollTop-T.y,g.y&&v.scrollBy({top:-g.y,behavior:a});break}}this.handleMove(t,uf(b_(f,this.referenceCoordinates),g))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}sG.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=oG,onActivation:i}=t,{active:o}=n;const{code:s}=e.nativeEvent;if(r.start.includes(s)){const a=o.activatorNode.current;return a&&e.target!==a?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function d7(e){return!!(e&&"distance"in e)}function f7(e){return!!(e&&"delay"in e)}class b6{constructor(t,n,r){var i;r===void 0&&(r=j8e(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=Qf(s),this.documentListeners=new Np(this.document),this.listeners=new Np(r),this.windowListeners=new Np(fi(s)),this.initialCoordinates=(i=qg(o))!=null?i:ns,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(po.Resize,this.handleCancel),this.windowListeners.add(po.DragStart,c7),this.windowListeners.add(po.VisibilityChange,this.handleCancel),this.windowListeners.add(po.ContextMenu,c7),this.documentListeners.add(po.Keydown,this.handleKeydown),n){if(d7(n))return;if(f7(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(po.Click,G8e,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(po.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=qg(t))!=null?n:ns,u=b_(i,l);if(!r&&a){if(f7(a))return fC(u,a.tolerance)?this.handleCancel():void 0;if(d7(a))return a.tolerance!=null&&fC(u,a.tolerance)?this.handleCancel():fC(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===Qt.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const W8e={move:{name:"pointermove"},end:{name:"pointerup"}};class aG extends b6{constructor(t){const{event:n}=t,r=Qf(n.target);super(t,W8e,r)}}aG.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const q8e={move:{name:"mousemove"},end:{name:"mouseup"}};var K5;(function(e){e[e.RightClick=2]="RightClick"})(K5||(K5={}));class lG extends b6{constructor(t){super(t,q8e,Qf(t.event.target))}}lG.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===K5.RightClick?!1:(r==null||r({event:n}),!0)}}];const hC={move:{name:"touchmove"},end:{name:"touchend"}};class uG extends b6{constructor(t){super(t,hC)}static setup(){return window.addEventListener(hC.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(hC.move.name,t)};function t(){}}}uG.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var Lp;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Lp||(Lp={}));var w_;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(w_||(w_={}));function 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Vs=L.useMemo(()=>({active:U,activeNode:le,activeNodeRect:pe,activatorEvent:B,collisions:qn,containerNodeRect:ve,dragOverlay:Me,draggableNodes:P,droppableContainers:O,droppableRects:ee,over:Gt,measureDroppableContainers:ie,scrollableAncestors:Bt,scrollableAncestorRects:it,measuringConfiguration:Z,measuringScheduled:se,windowRect:Wn}),[U,le,pe,B,qn,ve,Me,P,O,ee,Gt,ie,Bt,it,Z,se,Wn]),Ji=L.useMemo(()=>({activatorEvent:B,activators:Yr,active:U,activeNodeRect:pe,ariaDescribedById:{draggable:j},dispatch:_,draggableNodes:P,over:Gt,measureDroppableContainers:ie}),[B,Yr,U,pe,_,j,P,Gt,ie]);return Lt.createElement(Xj.Provider,{value:y},Lt.createElement(jm.Provider,{value:Ji},Lt.createElement(hG.Provider,{value:Vs},Lt.createElement(h2.Provider,{value:Xr},u)),Lt.createElement(g9e,{disabled:(a==null?void 0:a.restoreFocus)===!1})),Lt.createElement(y8e,{...a,hiddenTextDescribedById:j}));function js(){const Xt=(N==null?void 0:N.autoScrollEnabled)===!1,kt=typeof 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diff --git a/invokeai/frontend/web/dist/assets/index-de589048.js b/invokeai/frontend/web/dist/assets/index-de589048.js
deleted file mode 100644
index e7d24e43fd..0000000000
--- a/invokeai/frontend/web/dist/assets/index-de589048.js
+++ /dev/null
@@ -1,151 +0,0 @@
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- * @license React
- * react.production.min.js
- *
- * Copyright (c) Facebook, Inc. and its affiliates.
- *
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Array.isArray(e)?xe.array:e===null?xe.null:e.then&&typeof e.then=="function"&&e.catch&&typeof e.catch=="function"?xe.promise:typeof Map<"u"&&e instanceof Map?xe.map:typeof Set<"u"&&e instanceof Set?xe.set:typeof Date<"u"&&e instanceof Date?xe.date:xe.object;default:return xe.unknown}},me=St.arrayToEnum(["invalid_type","invalid_literal","custom","invalid_union","invalid_union_discriminator","invalid_enum_value","unrecognized_keys","invalid_arguments","invalid_return_type","invalid_date","invalid_string","too_small","too_big","invalid_intersection_types","not_multiple_of","not_finite"]),sle=e=>JSON.stringify(e,null,2).replace(/"([^"]+)":/g,"$1:");class Ko extends Error{constructor(t){super(),this.issues=[],this.addIssue=r=>{this.issues=[...this.issues,r]},this.addIssues=(r=[])=>{this.issues=[...this.issues,...r]};const n=new.target.prototype;Object.setPrototypeOf?Object.setPrototypeOf(this,n):this.__proto__=n,this.name="ZodError",this.issues=t}get errors(){return this.issues}format(t){const n=t||function(o){return o.message},r={_errors:[]},i=o=>{for(const s of o.issues)if(s.code==="invalid_union")s.unionErrors.map(i);else if(s.code==="invalid_return_type")i(s.returnTypeError);else if(s.code==="invalid_arguments")i(s.argumentsError);else if(s.path.length===0)r._errors.push(n(s));else{let a=r,l=0;for(;l<s.path.length;){const u=s.path[l];l===s.path.length-1?(a[u]=a[u]||{_errors:[]},a[u]._errors.push(n(s))):a[u]=a[u]||{_errors:[]},a=a[u],l++}}};return i(this),r}toString(){return this.message}get message(){return JSON.stringify(this.issues,St.jsonStringifyReplacer,2)}get isEmpty(){return this.issues.length===0}flatten(t=n=>n.message){const n={},r=[];for(const i of this.issues)i.path.length>0?(n[i.path[0]]=n[i.path[0]]||[],n[i.path[0]].push(t(i))):r.push(t(i));return{formErrors:r,fieldErrors:n}}get formErrors(){return this.flatten()}}Ko.create=e=>new Ko(e);const cg=(e,t)=>{let n;switch(e.code){case me.invalid_type:e.received===xe.undefined?n="Required":n=`Expected ${e.expected}, received ${e.received}`;break;case me.invalid_literal:n=`Invalid literal value, expected ${JSON.stringify(e.expected,St.jsonStringifyReplacer)}`;break;case me.unrecognized_keys:n=`Unrecognized key(s) in object: ${St.joinValues(e.keys,", ")}`;break;case me.invalid_union:n="Invalid input";break;case me.invalid_union_discriminator:n=`Invalid discriminator value. Expected ${St.joinValues(e.options)}`;break;case me.invalid_enum_value:n=`Invalid enum value. Expected ${St.joinValues(e.options)}, received '${e.received}'`;break;case me.invalid_arguments:n="Invalid function arguments";break;case me.invalid_return_type:n="Invalid function return type";break;case me.invalid_date:n="Invalid date";break;case me.invalid_string:typeof e.validation=="object"?"includes"in e.validation?(n=`Invalid input: must include "${e.validation.includes}"`,typeof e.validation.position=="number"&&(n=`${n} at one or more positions greater than or equal to ${e.validation.position}`)):"startsWith"in e.validation?n=`Invalid input: must start with "${e.validation.startsWith}"`:"endsWith"in e.validation?n=`Invalid input: must end with "${e.validation.endsWith}"`:St.assertNever(e.validation):e.validation!=="regex"?n=`Invalid ${e.validation}`:n="Invalid";break;case me.too_small:e.type==="array"?n=`Array must contain ${e.exact?"exactly":e.inclusive?"at least":"more than"} ${e.minimum} element(s)`:e.type==="string"?n=`String must contain ${e.exact?"exactly":e.inclusive?"at least":"over"} ${e.minimum} character(s)`:e.type==="number"?n=`Number must be ${e.exact?"exactly equal to ":e.inclusive?"greater than or equal to ":"greater than "}${e.minimum}`:e.type==="date"?n=`Date must be ${e.exact?"exactly equal to ":e.inclusive?"greater than or equal to ":"greater than "}${new Date(Number(e.minimum))}`:n="Invalid input";break;case me.too_big:e.type==="array"?n=`Array must contain ${e.exact?"exactly":e.inclusive?"at most":"less than"} ${e.maximum} element(s)`:e.type==="string"?n=`String must contain ${e.exact?"exactly":e.inclusive?"at most":"under"} ${e.maximum} character(s)`:e.type==="number"?n=`Number must be ${e.exact?"exactly":e.inclusive?"less than or equal to":"less than"} ${e.maximum}`:e.type==="bigint"?n=`BigInt must be ${e.exact?"exactly":e.inclusive?"less than or equal to":"less than"} ${e.maximum}`:e.type==="date"?n=`Date must be ${e.exact?"exactly":e.inclusive?"smaller than or equal to":"smaller than"} ${new Date(Number(e.maximum))}`:n="Invalid input";break;case me.custom:n="Invalid input";break;case me.invalid_intersection_types:n="Intersection results could not be merged";break;case me.not_multiple_of:n=`Number must be a multiple of ${e.multipleOf}`;break;case me.not_finite:n="Number must be finite";break;default:n=t.defaultError,St.assertNever(e)}return{message:n}};let zD=cg;function ale(e){zD=e}function f1(){return zD}const h1=e=>{const{data:t,path:n,errorMaps:r,issueData:i}=e,o=[...n,...i.path||[]],s={...i,path:o};let a="";const l=r.filter(u=>!!u).slice().reverse();for(const u of l)a=u(s,{data:t,defaultError:a}).message;return{...i,path:o,message:i.message||a}},lle=[];function Te(e,t){const n=h1({issueData:t,data:e.data,path:e.path,errorMaps:[e.common.contextualErrorMap,e.schemaErrorMap,f1(),cg].filter(r=>!!r)});e.common.issues.push(n)}class Wr{constructor(){this.value="valid"}dirty(){this.value==="valid"&&(this.value="dirty")}abort(){this.value!=="aborted"&&(this.value="aborted")}static mergeArray(t,n){const r=[];for(const i of n){if(i.status==="aborted")return je;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return Wr.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:s}=i;if(o.status==="aborted"||s.status==="aborted")return je;o.status==="dirty"&&t.dirty(),s.status==="dirty"&&t.dirty(),(typeof s.value<"u"||i.alwaysSet)&&(r[o.value]=s.value)}return{status:t.value,value:r}}}const je=Object.freeze({status:"aborted"}),VD=e=>({status:"dirty",value:e}),li=e=>({status:"valid",value:e}),E3=e=>e.status==="aborted",A3=e=>e.status==="dirty",p1=e=>e.status==="valid",g1=e=>typeof Promise<"u"&&e instanceof Promise;var Le;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(Le||(Le={}));class Ms{constructor(t,n,r,i){this._cachedPath=[],this.parent=t,this.data=n,this._path=r,this._key=i}get path(){return this._cachedPath.length||(this._key instanceof Array?this._cachedPath.push(...this._path,...this._key):this._cachedPath.push(...this._path,this._key)),this._cachedPath}}const k9=(e,t)=>{if(p1(t))return{success:!0,data:t.value};if(!e.common.issues.length)throw new Error("Validation failed but no issues detected.");return{success:!1,get error(){if(this._error)return this._error;const n=new Ko(e.common.issues);return this._error=n,this._error}}};function Qe(e){if(!e)return{};const{errorMap:t,invalid_type_error:n,required_error:r,description:i}=e;if(t&&(n||r))throw new Error(`Can't use "invalid_type_error" or "required_error" in conjunction with custom error map.`);return t?{errorMap:t,description:i}:{errorMap:(s,a)=>s.code!=="invalid_type"?{message:a.defaultError}:typeof a.data>"u"?{message:r??a.defaultError}:{message:n??a.defaultError},description:i}}class tt{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return ml(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:ml(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new Wr,ctx:{common:t.parent.common,data:t.data,parsedType:ml(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(g1(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:ml(t)},o=this._parseSync({data:t,path:i.path,parent:i});return k9(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:ml(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(g1(i)?i:Promise.resolve(i));return k9(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const s=t(i),a=()=>o.addIssue({code:me.custom,...r(i)});return typeof Promise<"u"&&s instanceof Promise?s.then(l=>l?!0:(a(),!1)):s?!0:(a(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new es({schema:this,typeName:Ue.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return va.create(this,this._def)}nullable(){return ic.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return Xo.create(this,this._def)}promise(){return xf.create(this,this._def)}or(t){return pg.create([this,t],this._def)}and(t){return gg.create(this,t,this._def)}transform(t){return new es({...Qe(this._def),schema:this,typeName:Ue.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new bg({...Qe(this._def),innerType:this,defaultValue:n,typeName:Ue.ZodDefault})}brand(){return new GD({typeName:Ue.ZodBranded,type:this,...Qe(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new _1({...Qe(this._def),innerType:this,catchValue:n,typeName:Ue.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return hm.create(this,t)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const ule=/^c[^\s-]{8,}$/i,cle=/^[a-z][a-z0-9]*$/,dle=/[0-9A-HJKMNP-TV-Z]{26}/,fle=/^([a-f0-9]{8}-[a-f0-9]{4}-[1-5][a-f0-9]{3}-[a-f0-9]{4}-[a-f0-9]{12}|00000000-0000-0000-0000-000000000000)$/i,hle=/^(([^<>()[\]\\.,;:\s@\"]+(\.[^<>()[\]\\.,;:\s@\"]+)*)|(\".+\"))@((\[(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\])|(\[IPv6:(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))\])|([A-Za-z0-9]([A-Za-z0-9-]*[A-Za-z0-9])*(\.[A-Za-z]{2,})+))$/,ple=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,gle=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,mle=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,yle=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function vle(e,t){return!!((t==="v4"||!t)&&gle.test(e)||(t==="v6"||!t)&&mle.test(e))}class Go extends tt{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:me.invalid_string,...Le.errToObj(r)}),this.nonempty=t=>this.min(1,Le.errToObj(t)),this.trim=()=>new Go({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new Go({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new Go({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==xe.string){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.string,received:o.parsedType}),je}const r=new Wr;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?Te(i,{code:me.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&Te(i,{code:me.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")hle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"email",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")ple.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"emoji",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")fle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"uuid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")ule.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"cuid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")cle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"cuid2",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")dle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"ulid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),Te(i,{validation:"url",code:me.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"regex",code:me.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?yle(o).test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?vle(t.data,o.version)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"ip",code:me.invalid_string,message:o.message}),r.dirty()):St.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new Go({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...Le.errToObj(t)})}url(t){return this._addCheck({kind:"url",...Le.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...Le.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...Le.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...Le.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...Le.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...Le.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...Le.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...Le.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...Le.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...Le.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...Le.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...Le.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...Le.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...Le.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...Le.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Go.create=e=>{var t;return new Go({checks:[],typeName:Ue.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Qe(e)})};function _le(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class Ul extends tt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==xe.number){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.number,received:o.parsedType}),je}let r;const i=new Wr;for(const o of this._def.checks)o.kind==="int"?St.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Te(r,{code:me.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?_le(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_finite,message:o.message}),i.dirty()):St.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Le.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Le.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Le.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Le.toString(n))}setLimit(t,n,r,i){return new Ul({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Le.toString(i)}]})}_addCheck(t){return new Ul({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:Le.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:Le.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:Le.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:Le.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:Le.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Le.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:Le.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:Le.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:Le.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&St.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}Ul.create=e=>new Ul({checks:[],typeName:Ue.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...Qe(e)});class zl extends tt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==xe.bigint){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.bigint,received:o.parsedType}),je}let r;const i=new Wr;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):St.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Le.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Le.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Le.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Le.toString(n))}setLimit(t,n,r,i){return new zl({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Le.toString(i)}]})}_addCheck(t){return new zl({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:Le.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:Le.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:Le.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:Le.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Le.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}zl.create=e=>{var t;return new zl({checks:[],typeName:Ue.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Qe(e)})};class dg extends tt{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==xe.boolean){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.boolean,received:r.parsedType}),je}return li(t.data)}}dg.create=e=>new dg({typeName:Ue.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...Qe(e)});class nc extends tt{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==xe.date){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.date,received:o.parsedType}),je}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_date}),je}const r=new Wr;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):St.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new nc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:Le.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:Le.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}nc.create=e=>new nc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:Ue.ZodDate,...Qe(e)});class m1 extends tt{_parse(t){if(this._getType(t)!==xe.symbol){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.symbol,received:r.parsedType}),je}return li(t.data)}}m1.create=e=>new m1({typeName:Ue.ZodSymbol,...Qe(e)});class fg extends tt{_parse(t){if(this._getType(t)!==xe.undefined){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.undefined,received:r.parsedType}),je}return li(t.data)}}fg.create=e=>new fg({typeName:Ue.ZodUndefined,...Qe(e)});class hg extends tt{_parse(t){if(this._getType(t)!==xe.null){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.null,received:r.parsedType}),je}return li(t.data)}}hg.create=e=>new hg({typeName:Ue.ZodNull,...Qe(e)});class wf extends tt{constructor(){super(...arguments),this._any=!0}_parse(t){return li(t.data)}}wf.create=e=>new wf({typeName:Ue.ZodAny,...Qe(e)});class ju extends tt{constructor(){super(...arguments),this._unknown=!0}_parse(t){return li(t.data)}}ju.create=e=>new ju({typeName:Ue.ZodUnknown,...Qe(e)});class Ra extends tt{_parse(t){const n=this._getOrReturnCtx(t);return Te(n,{code:me.invalid_type,expected:xe.never,received:n.parsedType}),je}}Ra.create=e=>new Ra({typeName:Ue.ZodNever,...Qe(e)});class y1 extends tt{_parse(t){if(this._getType(t)!==xe.undefined){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.void,received:r.parsedType}),je}return li(t.data)}}y1.create=e=>new y1({typeName:Ue.ZodVoid,...Qe(e)});class Xo extends tt{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==xe.array)return Te(n,{code:me.invalid_type,expected:xe.array,received:n.parsedType}),je;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(Te(n,{code:s?me.too_big:me.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(Te(n,{code:me.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(Te(n,{code:me.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new Ms(n,s,n.path,a)))).then(s=>Wr.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new Ms(n,s,n.path,a)));return Wr.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Xo({...this._def,minLength:{value:t,message:Le.toString(n)}})}max(t,n){return new Xo({...this._def,maxLength:{value:t,message:Le.toString(n)}})}length(t,n){return new Xo({...this._def,exactLength:{value:t,message:Le.toString(n)}})}nonempty(t){return this.min(1,t)}}Xo.create=(e,t)=>new Xo({type:e,minLength:null,maxLength:null,exactLength:null,typeName:Ue.ZodArray,...Qe(t)});function yd(e){if(e instanceof gn){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=va.create(yd(r))}return new gn({...e._def,shape:()=>t})}else return e instanceof Xo?new Xo({...e._def,type:yd(e.element)}):e instanceof va?va.create(yd(e.unwrap())):e instanceof ic?ic.create(yd(e.unwrap())):e instanceof Ns?Ns.create(e.items.map(t=>yd(t))):e}class gn extends tt{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=St.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==xe.object){const u=this._getOrReturnCtx(t);return Te(u,{code:me.invalid_type,expected:xe.object,received:u.parsedType}),je}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof Ra&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const d=o[u],f=i.data[u];l.push({key:{status:"valid",value:u},value:d._parse(new Ms(i,f,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof Ra){const u=this._def.unknownKeys;if(u==="passthrough")for(const d of a)l.push({key:{status:"valid",value:d},value:{status:"valid",value:i.data[d]}});else if(u==="strict")a.length>0&&(Te(i,{code:me.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const d of a){const f=i.data[d];l.push({key:{status:"valid",value:d},value:u._parse(new Ms(i,f,i.path,d)),alwaysSet:d in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const d of l){const f=await d.key;u.push({key:f,value:await d.value,alwaysSet:d.alwaysSet})}return u}).then(u=>Wr.mergeObjectSync(r,u)):Wr.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return Le.errToObj,new gn({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=Le.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new gn({...this._def,unknownKeys:"strip"})}passthrough(){return new gn({...this._def,unknownKeys:"passthrough"})}extend(t){return new gn({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new gn({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:Ue.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new gn({...this._def,catchall:t})}pick(t){const n={};return St.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new gn({...this._def,shape:()=>n})}omit(t){const n={};return St.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new gn({...this._def,shape:()=>n})}deepPartial(){return yd(this)}partial(t){const n={};return St.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new gn({...this._def,shape:()=>n})}required(t){const n={};return St.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof va;)o=o._def.innerType;n[r]=o}}),new gn({...this._def,shape:()=>n})}keyof(){return jD(St.objectKeys(this.shape))}}gn.create=(e,t)=>new gn({shape:()=>e,unknownKeys:"strip",catchall:Ra.create(),typeName:Ue.ZodObject,...Qe(t)});gn.strictCreate=(e,t)=>new gn({shape:()=>e,unknownKeys:"strict",catchall:Ra.create(),typeName:Ue.ZodObject,...Qe(t)});gn.lazycreate=(e,t)=>new gn({shape:e,unknownKeys:"strip",catchall:Ra.create(),typeName:Ue.ZodObject,...Qe(t)});class pg extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new Ko(a.ctx.common.issues));return Te(n,{code:me.invalid_union,unionErrors:s}),je}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},d=l._parseSync({data:n.data,path:n.path,parent:u});if(d.status==="valid")return d;d.status==="dirty"&&!o&&(o={result:d,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new Ko(l));return Te(n,{code:me.invalid_union,unionErrors:a}),je}}get options(){return this._def.options}}pg.create=(e,t)=>new pg({options:e,typeName:Ue.ZodUnion,...Qe(t)});const cv=e=>e instanceof yg?cv(e.schema):e instanceof es?cv(e.innerType()):e instanceof vg?[e.value]:e instanceof Vl?e.options:e instanceof _g?Object.keys(e.enum):e instanceof bg?cv(e._def.innerType):e instanceof fg?[void 0]:e instanceof hg?[null]:null;class ib extends tt{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.object)return Te(n,{code:me.invalid_type,expected:xe.object,received:n.parsedType}),je;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(Te(n,{code:me.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),je)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=cv(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new ib({typeName:Ue.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...Qe(r)})}}function P3(e,t){const n=ml(e),r=ml(t);if(e===t)return{valid:!0,data:e};if(n===xe.object&&r===xe.object){const i=St.objectKeys(t),o=St.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=P3(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===xe.array&&r===xe.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=P3(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===xe.date&&r===xe.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class gg extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(E3(o)||E3(s))return je;const a=P3(o.value,s.value);return a.valid?((A3(o)||A3(s))&&n.dirty(),{status:n.value,value:a.data}):(Te(r,{code:me.invalid_intersection_types}),je)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}gg.create=(e,t,n)=>new gg({left:e,right:t,typeName:Ue.ZodIntersection,...Qe(n)});class Ns extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.array)return Te(r,{code:me.invalid_type,expected:xe.array,received:r.parsedType}),je;if(r.data.length<this._def.items.length)return Te(r,{code:me.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),je;!this._def.rest&&r.data.length>this._def.items.length&&(Te(r,{code:me.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new Ms(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>Wr.mergeArray(n,s)):Wr.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new Ns({...this._def,rest:t})}}Ns.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new Ns({items:e,typeName:Ue.ZodTuple,rest:null,...Qe(t)})};class mg extends tt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.object)return Te(r,{code:me.invalid_type,expected:xe.object,received:r.parsedType}),je;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new Ms(r,a,r.path,a)),value:s._parse(new Ms(r,r.data[a],r.path,a))});return r.common.async?Wr.mergeObjectAsync(n,i):Wr.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof tt?new mg({keyType:t,valueType:n,typeName:Ue.ZodRecord,...Qe(r)}):new mg({keyType:Go.create(),valueType:t,typeName:Ue.ZodRecord,...Qe(n)})}}class v1 extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.map)return Te(r,{code:me.invalid_type,expected:xe.map,received:r.parsedType}),je;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new Ms(r,a,r.path,[u,"key"])),value:o._parse(new Ms(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,d=await l.value;if(u.status==="aborted"||d.status==="aborted")return je;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,d=l.value;if(u.status==="aborted"||d.status==="aborted")return je;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}}}}v1.create=(e,t,n)=>new v1({valueType:t,keyType:e,typeName:Ue.ZodMap,...Qe(n)});class rc extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.set)return Te(r,{code:me.invalid_type,expected:xe.set,received:r.parsedType}),je;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(Te(r,{code:me.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(Te(r,{code:me.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const d of l){if(d.status==="aborted")return je;d.status==="dirty"&&n.dirty(),u.add(d.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new Ms(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new rc({...this._def,minSize:{value:t,message:Le.toString(n)}})}max(t,n){return new rc({...this._def,maxSize:{value:t,message:Le.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}rc.create=(e,t)=>new rc({valueType:e,minSize:null,maxSize:null,typeName:Ue.ZodSet,...Qe(t)});class Jd extends tt{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.function)return Te(n,{code:me.invalid_type,expected:xe.function,received:n.parsedType}),je;function r(a,l){return h1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,f1(),cg].filter(u=>!!u),issueData:{code:me.invalid_arguments,argumentsError:l}})}function i(a,l){return h1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,f1(),cg].filter(u=>!!u),issueData:{code:me.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;return this._def.returns instanceof xf?li(async(...a)=>{const l=new Ko([]),u=await this._def.args.parseAsync(a,o).catch(p=>{throw l.addIssue(r(a,p)),l}),d=await s(...u);return await this._def.returns._def.type.parseAsync(d,o).catch(p=>{throw l.addIssue(i(d,p)),l})}):li((...a)=>{const l=this._def.args.safeParse(a,o);if(!l.success)throw new Ko([r(a,l.error)]);const u=s(...l.data),d=this._def.returns.safeParse(u,o);if(!d.success)throw new Ko([i(u,d.error)]);return d.data})}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new Jd({...this._def,args:Ns.create(t).rest(ju.create())})}returns(t){return new Jd({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new Jd({args:t||Ns.create([]).rest(ju.create()),returns:n||ju.create(),typeName:Ue.ZodFunction,...Qe(r)})}}class yg extends tt{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}yg.create=(e,t)=>new yg({getter:e,typeName:Ue.ZodLazy,...Qe(t)});class vg extends tt{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Te(n,{received:n.data,code:me.invalid_literal,expected:this._def.value}),je}return{status:"valid",value:t.data}}get value(){return this._def.value}}vg.create=(e,t)=>new vg({value:e,typeName:Ue.ZodLiteral,...Qe(t)});function jD(e,t){return new Vl({values:e,typeName:Ue.ZodEnum,...Qe(t)})}class Vl extends tt{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Te(n,{expected:St.joinValues(r),received:n.parsedType,code:me.invalid_type}),je}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Te(n,{received:n.data,code:me.invalid_enum_value,options:r}),je}return li(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return Vl.create(t)}exclude(t){return Vl.create(this.options.filter(n=>!t.includes(n)))}}Vl.create=jD;class _g extends tt{_parse(t){const n=St.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==xe.string&&r.parsedType!==xe.number){const i=St.objectValues(n);return Te(r,{expected:St.joinValues(i),received:r.parsedType,code:me.invalid_type}),je}if(n.indexOf(t.data)===-1){const i=St.objectValues(n);return Te(r,{received:r.data,code:me.invalid_enum_value,options:i}),je}return li(t.data)}get enum(){return this._def.values}}_g.create=(e,t)=>new _g({values:e,typeName:Ue.ZodNativeEnum,...Qe(t)});class xf extends tt{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.promise&&n.common.async===!1)return Te(n,{code:me.invalid_type,expected:xe.promise,received:n.parsedType}),je;const r=n.parsedType===xe.promise?n.data:Promise.resolve(n.data);return li(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}xf.create=(e,t)=>new xf({type:e,typeName:Ue.ZodPromise,...Qe(t)});class es extends tt{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===Ue.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null;if(i.type==="preprocess"){const s=i.transform(r.data);return r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}const o={addIssue:s=>{Te(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?je:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?je:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!p1(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>p1(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);St.assertNever(i)}}es.create=(e,t,n)=>new es({schema:e,typeName:Ue.ZodEffects,effect:t,...Qe(n)});es.createWithPreprocess=(e,t,n)=>new es({schema:t,effect:{type:"preprocess",transform:e},typeName:Ue.ZodEffects,...Qe(n)});class va extends tt{_parse(t){return this._getType(t)===xe.undefined?li(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}va.create=(e,t)=>new va({innerType:e,typeName:Ue.ZodOptional,...Qe(t)});class ic extends tt{_parse(t){return this._getType(t)===xe.null?li(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}ic.create=(e,t)=>new ic({innerType:e,typeName:Ue.ZodNullable,...Qe(t)});class bg extends tt{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===xe.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}bg.create=(e,t)=>new bg({innerType:e,typeName:Ue.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...Qe(t)});class _1 extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return g1(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new Ko(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new Ko(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}_1.create=(e,t)=>new _1({innerType:e,typeName:Ue.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...Qe(t)});class b1 extends tt{_parse(t){if(this._getType(t)!==xe.nan){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.nan,received:r.parsedType}),je}return{status:"valid",value:t.data}}}b1.create=e=>new b1({typeName:Ue.ZodNaN,...Qe(e)});const ble=Symbol("zod_brand");class GD extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class hm extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?je:o.status==="dirty"?(n.dirty(),VD(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?je:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new hm({in:t,out:n,typeName:Ue.ZodPipeline})}}const HD=(e,t={},n)=>e?wf.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):wf.create(),Sle={object:gn.lazycreate};var Ue;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline"})(Ue||(Ue={}));const wle=(e,t={message:`Input not instance of ${e.name}`})=>HD(n=>n instanceof e,t),WD=Go.create,qD=Ul.create,xle=b1.create,Cle=zl.create,KD=dg.create,Tle=nc.create,Ele=m1.create,Ale=fg.create,Ple=hg.create,Rle=wf.create,Ole=ju.create,kle=Ra.create,Ile=y1.create,Mle=Xo.create,Nle=gn.create,Lle=gn.strictCreate,Dle=pg.create,$le=ib.create,Fle=gg.create,Ble=Ns.create,Ule=mg.create,zle=v1.create,Vle=rc.create,jle=Jd.create,Gle=yg.create,Hle=vg.create,Wle=Vl.create,qle=_g.create,Kle=xf.create,I9=es.create,Xle=va.create,Yle=ic.create,Qle=es.createWithPreprocess,Zle=hm.create,Jle=()=>WD().optional(),eue=()=>qD().optional(),tue=()=>KD().optional(),nue={string:e=>Go.create({...e,coerce:!0}),number:e=>Ul.create({...e,coerce:!0}),boolean:e=>dg.create({...e,coerce:!0}),bigint:e=>zl.create({...e,coerce:!0}),date:e=>nc.create({...e,coerce:!0})},rue=je;var wt=Object.freeze({__proto__:null,defaultErrorMap:cg,setErrorMap:ale,getErrorMap:f1,makeIssue:h1,EMPTY_PATH:lle,addIssueToContext:Te,ParseStatus:Wr,INVALID:je,DIRTY:VD,OK:li,isAborted:E3,isDirty:A3,isValid:p1,isAsync:g1,get util(){return St},get objectUtil(){return T3},ZodParsedType:xe,getParsedType:ml,ZodType:tt,ZodString:Go,ZodNumber:Ul,ZodBigInt:zl,ZodBoolean:dg,ZodDate:nc,ZodSymbol:m1,ZodUndefined:fg,ZodNull:hg,ZodAny:wf,ZodUnknown:ju,ZodNever:Ra,ZodVoid:y1,ZodArray:Xo,ZodObject:gn,ZodUnion:pg,ZodDiscriminatedUnion:ib,ZodIntersection:gg,ZodTuple:Ns,ZodRecord:mg,ZodMap:v1,ZodSet:rc,ZodFunction:Jd,ZodLazy:yg,ZodLiteral:vg,ZodEnum:Vl,ZodNativeEnum:_g,ZodPromise:xf,ZodEffects:es,ZodTransformer:es,ZodOptional:va,ZodNullable:ic,ZodDefault:bg,ZodCatch:_1,ZodNaN:b1,BRAND:ble,ZodBranded:GD,ZodPipeline:hm,custom:HD,Schema:tt,ZodSchema:tt,late:Sle,get ZodFirstPartyTypeKind(){return Ue},coerce:nue,any:Rle,array:Mle,bigint:Cle,boolean:KD,date:Tle,discriminatedUnion:$le,effect:I9,enum:Wle,function:jle,instanceof:wle,intersection:Fle,lazy:Gle,literal:Hle,map:zle,nan:xle,nativeEnum:qle,never:kle,null:Ple,nullable:Yle,number:qD,object:Nle,oboolean:tue,onumber:eue,optional:Xle,ostring:Jle,pipeline:Zle,preprocess:Qle,promise:Kle,record:Ule,set:Vle,strictObject:Lle,string:WD,symbol:Ele,transformer:I9,tuple:Ble,undefined:Ale,union:Dle,unknown:Ole,void:Ile,NEVER:rue,ZodIssueCode:me,quotelessJson:sle,ZodError:Ko});const iue=wt.string(),nRe=e=>iue.safeParse(e).success,oue=wt.string(),rRe=e=>oue.safeParse(e).success,sue=wt.string(),iRe=e=>sue.safeParse(e).success,aue=wt.string(),oRe=e=>aue.safeParse(e).success,lue=wt.number().int().min(1),sRe=e=>lue.safeParse(e).success,uue=wt.number().min(1),aRe=e=>uue.safeParse(e).success,cue=wt.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),lRe=e=>cue.safeParse(e).success,uRe={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler Ancestral",kdpm_2_a:"KDPM 2 Ancestral"},due=wt.number().int().min(0).max(ole),cRe=e=>due.safeParse(e).success,fue=wt.number().multipleOf(8).min(64),dRe=e=>fue.safeParse(e).success,hue=wt.number().multipleOf(8).min(64),fRe=e=>hue.safeParse(e).success,pm=wt.enum(["sd-1","sd-2","sdxl","sdxl-refiner"]),bT=wt.object({model_name:wt.string().min(1),base_model:pm,model_type:wt.literal("main")}),hRe=e=>bT.safeParse(e).success,XD=wt.object({model_name:wt.string().min(1),base_model:wt.literal("sdxl-refiner"),model_type:wt.literal("main")}),pRe=e=>XD.safeParse(e).success,pue=wt.object({model_name:wt.string().min(1),base_model:pm,model_type:wt.literal("onnx")}),YD=wt.union([bT,pue]),gue=wt.object({model_name:wt.string().min(1),base_model:pm}),gRe=wt.object({model_name:wt.string().min(1),base_model:pm}),mRe=wt.object({model_name:wt.string().min(1),base_model:pm}),mue=wt.number().min(0).max(1),yRe=e=>mue.safeParse(e).success;wt.enum(["fp16","fp32"]);const yue=wt.number().min(1).max(10),vRe=e=>yue.safeParse(e).success,vue=wt.number().min(0).max(1),_Re=e=>vue.safeParse(e).success,La={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",seamBlur:16,seamSize:96,seamSteps:30,seamStrength:.7,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,shouldUseNoiseSettings:!1,steps:50,threshold:0,tileSize:32,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null},_ue=La,QD=yn({name:"generation",initialState:_ue,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=bl(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=bl(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...La}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 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n=t.payload;e.aspectRatio=n,n&&(e.height=Ss(e.width/n,8))}},extraReducers:e=>{e.addCase(nle,(t,n)=>{var i;const r=(i=n.payload.sd)==null?void 0:i.defaultModel;if(r&&!t.model){const[o,s,a]=r.split("/"),l=bT.safeParse({model_name:a,base_model:o,model_type:s});l.success&&(t.model=l.data)}}),e.addCase(Sue,(t,n)=>{n.payload||(t.clipSkip=0)})}}),{clampSymmetrySteps:bRe,clearInitialImage:ST,resetParametersState:SRe,resetSeed:wRe,setCfgScale:xRe,setWidth:CRe,setHeight:TRe,toggleSize:ERe,setImg2imgStrength:ARe,setInfillMethod:bue,setIterations:PRe,setPerlin:RRe,setPositivePrompt:ORe,setNegativePrompt:kRe,setScheduler:IRe,setSeamBlur:MRe,setSeamSize:NRe,setSeamSteps:LRe,setSeamStrength:DRe,setSeed:$Re,setSeedWeights:FRe,setShouldFitToWidthHeight:BRe,setShouldGenerateVariations:URe,setShouldRandomizeSeed:zRe,setSteps:VRe,setThreshold:jRe,setTileSize:GRe,setVariationAmount:HRe,setShouldUseSymmetry:WRe,setHorizontalSymmetrySteps:qRe,setVerticalSymmetrySteps:KRe,initialImageChanged:ob,modelChanged:Gu,vaeSelected:ZD,setShouldUseNoiseSettings:XRe,setSeamlessXAxis:YRe,setSeamlessYAxis:QRe,setClipSkip:ZRe,shouldUseCpuNoiseChanged:JRe,setShouldShowAdvancedOptions:Sue,setAspectRatio:wue,vaePrecisionChanged:eOe}=QD.actions,xue=QD.reducer,JD=["txt2img","img2img","unifiedCanvas","nodes","modelManager","batch"],M9=(e,t)=>{typeof t=="number"?e.activeTab=t:e.activeTab=JD.indexOf(t)},e$={activeTab:0,shouldPinParametersPanel:!0,shouldShowParametersPanel:!0,shouldShowImageDetails:!1,shouldUseCanvasBetaLayout:!1,shouldShowExistingModelsInSearch:!1,shouldUseSliders:!1,shouldPinGallery:!0,shouldShowGallery:!0,shouldHidePreview:!1,shouldShowProgressInViewer:!0,shouldShowEmbeddingPicker:!1,favoriteSchedulers:[]},t$=yn({name:"ui",initialState:e$,reducers:{setActiveTab:(e,t)=>{M9(e,t.payload)},setShouldPinParametersPanel:(e,t)=>{e.shouldPinParametersPanel=t.payload,e.shouldShowParametersPanel=!0},setShouldShowParametersPanel:(e,t)=>{e.shouldShowParametersPanel=t.payload},setShouldShowImageDetails:(e,t)=>{e.shouldShowImageDetails=t.payload},setShouldUseCanvasBetaLayout:(e,t)=>{e.shouldUseCanvasBetaLayout=t.payload},setShouldHidePreview:(e,t)=>{e.shouldHidePreview=t.payload},setShouldShowExistingModelsInSearch:(e,t)=>{e.shouldShowExistingModelsInSearch=t.payload},setShouldUseSliders:(e,t)=>{e.shouldUseSliders=t.payload},setShouldShowGallery:(e,t)=>{e.shouldShowGallery=t.payload},togglePinGalleryPanel:e=>{e.shouldPinGallery=!e.shouldPinGallery,e.shouldPinGallery||(e.shouldShowGallery=!0)},togglePinParametersPanel:e=>{e.shouldPinParametersPanel=!e.shouldPinParametersPanel,e.shouldPinParametersPanel||(e.shouldShowParametersPanel=!0)},toggleParametersPanel:e=>{e.shouldShowParametersPanel=!e.shouldShowParametersPanel},toggleGalleryPanel:e=>{e.shouldShowGallery=!e.shouldShowGallery},togglePanels:e=>{e.shouldShowGallery||e.shouldShowParametersPanel?(e.shouldShowGallery=!1,e.shouldShowParametersPanel=!1):(e.shouldShowGallery=!0,e.shouldShowParametersPanel=!0)},setShouldShowProgressInViewer:(e,t)=>{e.shouldShowProgressInViewer=t.payload},favoriteSchedulersChanged:(e,t)=>{e.favoriteSchedulers=t.payload},toggleEmbeddingPicker:e=>{e.shouldShowEmbeddingPicker=!e.shouldShowEmbeddingPicker}},extraReducers(e){e.addCase(ob,t=>{M9(t,"img2img")})}}),{setActiveTab:n$,setShouldPinParametersPanel:tOe,setShouldShowParametersPanel:nOe,setShouldShowImageDetails:rOe,setShouldUseCanvasBetaLayout:Cue,setShouldShowExistingModelsInSearch:iOe,setShouldUseSliders:oOe,setShouldHidePreview:sOe,setShouldShowGallery:aOe,togglePanels:lOe,togglePinGalleryPanel:uOe,togglePinParametersPanel:cOe,toggleParametersPanel:dOe,toggleGalleryPanel:fOe,setShouldShowProgressInViewer:hOe,favoriteSchedulersChanged:pOe,toggleEmbeddingPicker:gOe}=t$.actions,Tue=t$.reducer;let ti=[],gm=(e,t)=>{let n=[],r={get(){return r.lc||r.listen(()=>{})(),r.value},l:t||0,lc:0,listen(i,o){return r.lc=n.push(i,o||r.l)/2,()=>{let s=n.indexOf(i);~s&&(n.splice(s,2),r.lc--,r.lc||r.off())}},notify(i){let o=!ti.length;for(let s=0;s<n.length;s+=2)ti.push(n[s],r.value,i,n[s+1]);if(o){for(let s=0;s<ti.length;s+=4){let a=!1;for(let l=s+7;l<ti.length;l+=4)if(ti[l]<ti[s+3]){a=!0;break}a?ti.push(ti[s],ti[s+1],ti[s+2],ti[s+3]):ti[s](ti[s+1],ti[s+2])}ti.length=0}},off(){},set(i){r.value!==i&&(r.value=i,r.notify())},subscribe(i,o){let s=r.listen(i,o);return i(r.value),s},value:e};return r};const Eue=5,p0=6,g0=10;let Aue=(e,t,n,r)=>(e.events=e.events||{},e.events[n+g0]||(e.events[n+g0]=r(i=>{e.events[n].reduceRight((o,s)=>(s(o),o),{shared:{},...i})})),e.events[n]=e.events[n]||[],e.events[n].push(t),()=>{let i=e.events[n],o=i.indexOf(t);i.splice(o,1),i.length||(delete e.events[n],e.events[n+g0](),delete e.events[n+g0])}),Pue=1e3,Rue=(e,t)=>Aue(e,r=>{let i=t(r);i&&e.events[p0].push(i)},Eue,r=>{let i=e.listen;e.listen=(...s)=>(!e.lc&&!e.active&&(e.active=!0,r()),i(...s));let o=e.off;return e.events[p0]=[],e.off=()=>{o(),setTimeout(()=>{if(e.active&&!e.lc){e.active=!1;for(let s of e.events[p0])s();e.events[p0]=[]}},Pue)},()=>{e.listen=i,e.off=o}}),Oue=(e,t)=>{Array.isArray(e)||(e=[e]);let n,r=()=>{let o=e.map(s=>s.get());(n===void 0||o.some((s,a)=>s!==n[a]))&&(n=o,i.set(t(...o)))},i=gm(void 0,Math.max(...e.map(o=>o.l))+1);return Rue(i,()=>{let o=e.map(s=>s.listen(r,i.l));return r(),()=>{for(let s of o)s()}}),i};const kue={"Content-Type":"application/json"},Iue=/\/*$/;function Mue(e){const t=new URLSearchParams;if(e&&typeof e=="object")for(const[n,r]of Object.entries(e))r!=null&&t.set(n,r);return t.toString()}function Nue(e){return JSON.stringify(e)}function Lue(e,t){let n=`${t.baseUrl?t.baseUrl.replace(Iue,""):""}${e}`;if(t.params.path)for(const[r,i]of 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r},Fue=e=>({width:Ss(e.width,64),height:Ss(e.height,64)}),SOe=[{label:"Base",value:"base"},{label:"Mask",value:"mask"}],wOe=[{label:"Auto",value:"auto"},{label:"Manual",value:"manual"},{label:"None",value:"none"}],i$=e=>e.kind==="line"&&e.layer==="mask",xOe=e=>e.kind==="line"&&e.layer==="base",L9=e=>e.kind==="image"&&e.layer==="base",COe=e=>e.kind==="fillRect"&&e.layer==="base",TOe=e=>e.kind==="eraseRect"&&e.layer==="base",Bue=e=>e.kind==="line",vd={objects:[],stagingArea:{images:[],selectedImageIndex:-1}},o$={boundingBoxCoordinates:{x:0,y:0},boundingBoxDimensions:{width:512,height:512},boundingBoxPreviewFill:{r:0,g:0,b:0,a:.5},boundingBoxScaleMethod:"auto",brushColor:{r:90,g:90,b:255,a:1},brushSize:50,canvasContainerDimensions:{width:0,height:0},colorPickerColor:{r:90,g:90,b:255,a:1},cursorPosition:null,doesCanvasNeedScaling:!1,futureLayerStates:[],isCanvasInitialized:!1,isDrawing:!1,isMaskEnabled:!0,isMouseOverBoundingBox:!1,isMoveBoundingBoxKeyHeld:!1,isMoveStageKeyHeld:!1,isMovingBoundingBox:!1,isMovingStage:!1,isTransformingBoundingBox:!1,layer:"base",layerState:vd,maskColor:{r:255,g:90,b:90,a:1},maxHistory:128,minimumStageScale:1,pastLayerStates:[],scaledBoundingBoxDimensions:{width:512,height:512},shouldAntialias:!0,shouldAutoSave:!1,shouldCropToBoundingBoxOnSave:!1,shouldDarkenOutsideBoundingBox:!1,shouldLockBoundingBox:!1,shouldPreserveMaskedArea:!1,shouldRestrictStrokesToBox:!0,shouldShowBoundingBox:!0,shouldShowBrush:!0,shouldShowBrushPreview:!1,shouldShowCanvasDebugInfo:!1,shouldShowCheckboardTransparency:!1,shouldShowGrid:!0,shouldShowIntermediates:!0,shouldShowStagingImage:!0,shouldShowStagingOutline:!0,shouldSnapToGrid:!0,stageCoordinates:{x:0,y:0},stageDimensions:{width:0,height:0},stageScale:1,tool:"brush"},s$=yn({name:"canvas",initialState:o$,reducers:{setTool:(e,t)=>{const 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0?arguments[1]:{ns:["translation"],defaultNS:"translation"};super(),this.data=t||{},this.options=n,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.options.ignoreJSONStructure===void 0&&(this.options.ignoreJSONStructure=!0)}addNamespaces(t){this.options.ns.indexOf(t)<0&&this.options.ns.push(t)}removeNamespaces(t){const n=this.options.ns.indexOf(t);n>-1&&this.options.ns.splice(n,1)}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};const o=i.keySeparator!==void 0?i.keySeparator:this.options.keySeparator,s=i.ignoreJSONStructure!==void 0?i.ignoreJSONStructure:this.options.ignoreJSONStructure;let a=[t,n];r&&typeof r!="string"&&(a=a.concat(r)),r&&typeof r=="string"&&(a=a.concat(o?r.split(o):r)),t.indexOf(".")>-1&&(a=t.split("."));const l=W1(this.data,a);return l||!s||typeof r!="string"?l:q1(this.data&&this.data[t]&&this.data[t][n],r,o)}addResource(t,n,r,i){let o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:{silent:!1};const 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0}getResourceBundle(t,n){return n||(n=this.options.defaultNS),this.options.compatibilityAPI==="v1"?{...this.getResource(t,n)}:this.getResource(t,n)}getDataByLanguage(t){return this.data[t]}hasLanguageSomeTranslations(t){const n=this.getDataByLanguage(t);return!!(n&&Object.keys(n)||[]).find(i=>n[i]&&Object.keys(n[i]).length>0)}toJSON(){return this.data}}var SU={processors:{},addPostProcessor(e){this.processors[e.name]=e},handle(e,t,n,r,i){return e.forEach(o=>{this.processors[o]&&(t=this.processors[o].process(t,n,r,i))}),t}};const gO={};class X1 extends eS{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};super(),Hve(["resourceStore","languageUtils","pluralResolver","interpolator","backendConnector","i18nFormat","utils"],t,this),this.options=n,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.logger=Cs.create("translator")}changeLanguage(t){t&&(this.language=t)}exists(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}};if(t==null)return!1;const r=this.resolve(t,n);return r&&r.res!==void 0}extractFromKey(t,n){let r=n.nsSeparator!==void 0?n.nsSeparator:this.options.nsSeparator;r===void 0&&(r=":");const i=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator;let o=n.ns||this.options.defaultNS||[];const s=r&&t.indexOf(r)>-1,a=!this.options.userDefinedKeySeparator&&!n.keySeparator&&!this.options.userDefinedNsSeparator&&!n.nsSeparator&&!Qve(t,r,i);if(s&&!a){const l=t.match(this.interpolator.nestingRegexp);if(l&&l.length>0)return{key:t,namespaces:o};const u=t.split(r);(r!==i||r===i&&this.options.ns.indexOf(u[0])>-1)&&(o=u.shift()),t=u.join(i)}return typeof o=="string"&&(o=[o]),{key:t,namespaces:o}}translate(t,n,r){if(typeof n!="object"&&this.options.overloadTranslationOptionHandler&&(n=this.options.overloadTranslationOptionHandler(arguments)),typeof n=="object"&&(n={...n}),n||(n={}),t==null)return"";Array.isArray(t)||(t=[String(t)]);const i=n.returnDetails!==void 0?n.returnDetails:this.options.returnDetails,o=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator,{key:s,namespaces:a}=this.extractFromKey(t[t.length-1],n),l=a[a.length-1],u=n.lng||this.language,d=n.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(u&&u.toLowerCase()==="cimode"){if(d){const S=n.nsSeparator||this.options.nsSeparator;return i?{res:`${l}${S}${s}`,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:`${l}${S}${s}`}return i?{res:s,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:s}const f=this.resolve(t,n);let p=f&&f.res;const g=f&&f.usedKey||s,m=f&&f.exactUsedKey||s,v=Object.prototype.toString.apply(p),x=["[object Number]","[object Function]","[object RegExp]"],_=n.joinArrays!==void 0?n.joinArrays:this.options.joinArrays,b=!this.i18nFormat||this.i18nFormat.handleAsObject;if(b&&p&&(typeof p!="string"&&typeof p!="boolean"&&typeof p!="number")&&x.indexOf(v)<0&&!(typeof _=="string"&&v==="[object Array]")){if(!n.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const S=this.options.returnedObjectHandler?this.options.returnedObjectHandler(g,p,{...n,ns:a}):`key '${s} (${this.language})' returned an object instead of string.`;return i?(f.res=S,f):S}if(o){const S=v==="[object Array]",C=S?[]:{},T=S?m:g;for(const E in p)if(Object.prototype.hasOwnProperty.call(p,E)){const P=`${T}${o}${E}`;C[E]=this.translate(P,{...n,joinArrays:!1,ns:a}),C[E]===P&&(C[E]=p[E])}p=C}}else if(b&&typeof _=="string"&&v==="[object Array]")p=p.join(_),p&&(p=this.extendTranslation(p,t,n,r));else{let S=!1,C=!1;const T=n.count!==void 0&&typeof n.count!="string",E=X1.hasDefaultValue(n),P=T?this.pluralResolver.getSuffix(u,n.count,n):"",k=n.ordinal&&T?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",O=n[`defaultValue${P}`]||n[`defaultValue${k}`]||n.defaultValue;!this.isValidLookup(p)&&E&&(S=!0,p=O),this.isValidLookup(p)||(C=!0,p=s);const G=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&C?void 0:p,U=E&&O!==p&&this.options.updateMissing;if(C||S||U){if(this.logger.log(U?"updateKey":"missingKey",u,l,s,U?O:p),o){const B=this.resolve(s,{...n,keySeparator:!1});B&&B.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let A=[];const N=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&N&&N[0])for(let B=0;B<N.length;B++)A.push(N[B]);else this.options.saveMissingTo==="all"?A=this.languageUtils.toResolveHierarchy(n.lng||this.language):A.push(n.lng||this.language);const F=(B,D,V)=>{const j=E&&V!==p?V:G;this.options.missingKeyHandler?this.options.missingKeyHandler(B,l,D,j,U,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(B,l,D,j,U,n),this.emit("missingKey",B,l,D,p)};this.options.saveMissing&&(this.options.saveMissingPlurals&&T?A.forEach(B=>{this.pluralResolver.getSuffixes(B,n).forEach(D=>{F([B],s+D,n[`defaultValue${D}`]||O)})}):F(A,s,O))}p=this.extendTranslation(p,t,n,f,r),C&&p===s&&this.options.appendNamespaceToMissingKey&&(p=`${l}:${s}`),(C||S)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?p=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,S?p:void 0):p=this.options.parseMissingKeyHandler(p))}return i?(f.res=p,f):p}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let d;if(u){const p=t.match(this.interpolator.nestingRegexp);d=p&&p.length}let f=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(f={...this.options.interpolation.defaultVariables,...f}),t=this.interpolator.interpolate(t,f,r.lng||this.language,r),u){const p=t.match(this.interpolator.nestingRegexp),g=p&&p.length;d<g&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var p=arguments.length,g=new Array(p),m=0;m<p;m++)g[m]=arguments[m];return o&&o[0]===g[0]&&!r.context?(s.logger.warn(`It seems you are nesting recursively key: ${g[0]} in key: ${n[0]}`),null):s.translate(...g,n)},r)),r.interpolation&&this.interpolator.reset()}const a=r.postProcess||this.options.postProcess,l=typeof a=="string"?[a]:a;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=SU.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),d=u.key;i=d;let f=u.namespaces;this.options.fallbackNS&&(f=f.concat(this.options.fallbackNS));const p=n.count!==void 0&&typeof n.count!="string",g=p&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),m=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",v=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);f.forEach(x=>{this.isValidLookup(r)||(a=x,!gO[`${v[0]}-${x}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(gO[`${v[0]}-${x}`]=!0,this.logger.warn(`key "${i}" for languages "${v.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. 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Wait for the callback or Promise to resolve before accessing it!!!")),v.forEach(_=>{if(this.isValidLookup(r))return;s=_;const b=[d];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(b,d,_,x,n);else{let S;p&&(S=this.pluralResolver.getSuffix(_,n.count,n));const C=`${this.options.pluralSeparator}zero`,T=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(p&&(b.push(d+S),n.ordinal&&S.indexOf(T)===0&&b.push(d+S.replace(T,this.options.pluralSeparator)),g&&b.push(d+C)),m){const E=`${d}${this.options.contextSeparator}${n.context}`;b.push(E),p&&(b.push(E+S),n.ordinal&&S.indexOf(T)===0&&b.push(E+S.replace(T,this.options.pluralSeparator)),g&&b.push(E+C))}}let y;for(;y=b.pop();)this.isValidLookup(r)||(o=y,r=this.getResource(_,x,y,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:s,usedNS:a}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function Ox(e){return e.charAt(0).toUpperCase()+e.slice(1)}class mO{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=Cs.create("languageUtils")}getScriptPartFromCode(t){if(t=K1(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=K1(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Ox(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Ox(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=Ox(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let 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0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const e1e=["v1","v2","v3"],t1e=["v4"],yO={zero:0,one:1,two:2,few:3,many:4,other:5};function n1e(){const e={};return Zve.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:Jve[t.fc]}})}),e}class r1e{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=Cs.create("pluralResolver"),(!this.options.compatibilityJSON||t1e.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. Will fallback to the compatibilityJSON v3 format handling.")),this.rules=n1e()}addRule(t,n){this.rules[t]=n}getRule(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(this.shouldUseIntlApi())try{return new Intl.PluralRules(K1(t),{type:n.ordinal?"ordinal":"cardinal"})}catch{return}return this.rules[t]||this.rules[this.languageUtils.getLanguagePartFromCode(t)]}needsPlural(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return this.shouldUseIntlApi()?r&&r.resolvedOptions().pluralCategories.length>1:r&&r.numbers.length>1}getPluralFormsOfKey(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};return this.getSuffixes(t,r).map(i=>`${n}${i}`)}getSuffixes(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>yO[i]-yO[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof i=="number"?`_plural_${i.toString()}`:o():this.options.compatibilityJSON==="v2"||this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1?o():this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString()}shouldUseIntlApi(){return!e1e.includes(this.options.compatibilityJSON)}}function vO(e,t,n){let r=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=qve(e,t,n);return!o&&i&&typeof n=="string"&&(o=q1(e,n,r),o===void 0&&(o=q1(t,n,r))),o}class i1e{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Cs.create("interpolator"),this.options=t,this.format=t.interpolation&&t.interpolation.format||(n=>n),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const n=t.interpolation;this.escape=n.escape!==void 0?n.escape:Xve,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?ld(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?ld(n.suffix):n.suffixEscaped||"}}",this.formatSeparator=n.formatSeparator?n.formatSeparator:n.formatSeparator||",",this.unescapePrefix=n.unescapeSuffix?"":n.unescapePrefix||"-",this.unescapeSuffix=this.unescapePrefix?"":n.unescapeSuffix||"",this.nestingPrefix=n.nestingPrefix?ld(n.nestingPrefix):n.nestingPrefixEscaped||ld("$t("),this.nestingSuffix=n.nestingSuffix?ld(n.nestingSuffix):n.nestingSuffixEscaped||ld(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${this.prefix}(.+?)${this.suffix}`;this.regexp=new RegExp(t,"g");const n=`${this.prefix}${this.unescapePrefix}(.+?)${this.unescapeSuffix}${this.suffix}`;this.regexpUnescape=new RegExp(n,"g");const r=`${this.nestingPrefix}(.+?)${this.nestingSuffix}`;this.nestingRegexp=new RegExp(r,"g")}interpolate(t,n,r,i){let o,s,a;const l=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{};function u(m){return m.replace(/\$/g,"$$$$")}const d=m=>{if(m.indexOf(this.formatSeparator)<0){const b=vO(n,l,m,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(b,void 0,r,{...i,...n,interpolationkey:m}):b}const v=m.split(this.formatSeparator),x=v.shift().trim(),_=v.join(this.formatSeparator).trim();return this.format(vO(n,l,x,this.options.keySeparator,this.options.ignoreJSONStructure),_,r,{...i,...n,interpolationkey:x})};this.resetRegExp();const f=i&&i.missingInterpolationHandler||this.options.missingInterpolationHandler,p=i&&i.interpolation&&i.interpolation.skipOnVariables!==void 0?i.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:m=>u(m)},{regex:this.regexp,safeValue:m=>this.escapeValue?u(this.escape(m)):u(m)}].forEach(m=>{for(a=0;o=m.regex.exec(t);){const v=o[1].trim();if(s=d(v),s===void 0)if(typeof f=="function"){const _=f(t,o,i);s=typeof _=="string"?_:""}else if(i&&Object.prototype.hasOwnProperty.call(i,v))s="";else if(p){s=o[0];continue}else this.logger.warn(`missed to pass in variable ${v} for interpolating ${t}`),s="";else typeof s!="string"&&!this.useRawValueToEscape&&(s=fO(s));const x=m.safeValue(s);if(t=t.replace(o[0],x),p?(m.regex.lastIndex+=s.length,m.regex.lastIndex-=o[0].length):m.regex.lastIndex=0,a++,a>=this.maxReplaces)break}}),t}nest(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i,o,s;function a(l,u){const d=this.nestingOptionsSeparator;if(l.indexOf(d)<0)return l;const f=l.split(new RegExp(`${d}[ ]*{`));let p=`{${f[1]}`;l=f[0],p=this.interpolate(p,s);const g=p.match(/'/g),m=p.match(/"/g);(g&&g.length%2===0&&!m||m.length%2!==0)&&(p=p.replace(/'/g,'"'));try{s=JSON.parse(p),u&&(s={...u,...s})}catch(v){return this.logger.warn(`failed parsing options string in nesting for key ${l}`,v),`${l}${d}${p}`}return delete s.defaultValue,l}for(;i=this.nestingRegexp.exec(t);){let l=[];s={...r},s=s.replace&&typeof s.replace!="string"?s.replace:s,s.applyPostProcessor=!1,delete s.defaultValue;let u=!1;if(i[0].indexOf(this.formatSeparator)!==-1&&!/{.*}/.test(i[1])){const d=i[1].split(this.formatSeparator).map(f=>f.trim());i[1]=d.shift(),l=d,u=!0}if(o=n(a.call(this,i[1].trim(),s),s),o&&i[0]===t&&typeof o!="string")return o;typeof o!="string"&&(o=fO(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((d,f)=>this.format(d,f,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function o1e(e){let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[a.trim()]||(n[a.trim()]=u),u==="false"&&(n[a.trim()]=!1),u==="true"&&(n[a.trim()]=!0),isNaN(u)||(n[a.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function ud(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(K1(i),o),t[s]=a),a(r)}}class s1e{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Cs.create("formatter"),this.options=t,this.formats={number:ud((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:ud((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return o=>i.format(o)}),datetime:ud((n,r)=>{const i=new Intl.DateTimeFormat(n,{...r});return o=>i.format(o)}),relativetime:ud((n,r)=>{const i=new Intl.RelativeTimeFormat(n,{...r});return o=>i.format(o,r.range||"day")}),list:ud((n,r)=>{const i=new Intl.ListFormat(n,{...r});return o=>i.format(o)})},this.init(t)}init(t){const r=(arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}}).interpolation;this.formatSeparator=r.formatSeparator?r.formatSeparator:r.formatSeparator||","}add(t,n){this.formats[t.toLowerCase().trim()]=n}addCached(t,n){this.formats[t.toLowerCase().trim()]=ud(n)}format(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return n.split(this.formatSeparator).reduce((a,l)=>{const{formatName:u,formatOptions:d}=o1e(l);if(this.formats[u]){let f=a;try{const p=i&&i.formatParams&&i.formatParams[i.interpolationkey]||{},g=p.locale||p.lng||i.locale||i.lng||r;f=this.formats[u](a,g,{...d,...i,...p})}catch(p){this.logger.warn(p)}return f}else this.logger.warn(`there was no format function for ${u}`);return a},t)}}function a1e(e,t){e.pending[t]!==void 0&&(delete e.pending[t],e.pendingCount--)}class l1e extends eS{constructor(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};super(),this.backend=t,this.store=n,this.services=r,this.languageUtils=r.languageUtils,this.options=i,this.logger=Cs.create("backendConnector"),this.waitingReads=[],this.maxParallelReads=i.maxParallelReads||10,this.readingCalls=0,this.maxRetries=i.maxRetries>=0?i.maxRetries:5,this.retryTimeout=i.retryTimeout>=1?i.retryTimeout:350,this.state={},this.queue=[],this.backend&&this.backend.init&&this.backend.init(r,i.backend,i)}queueLoad(t,n,r,i){const o={},s={},a={},l={};return t.forEach(u=>{let d=!0;n.forEach(f=>{const p=`${u}|${f}`;!r.reload&&this.store.hasResourceBundle(u,f)?this.state[p]=2:this.state[p]<0||(this.state[p]===1?s[p]===void 0&&(s[p]=!0):(this.state[p]=1,d=!1,s[p]===void 0&&(s[p]=!0),o[p]===void 0&&(o[p]=!0),l[f]===void 0&&(l[f]=!0)))}),d||(a[u]=!0)}),(Object.keys(o).length||Object.keys(s).length)&&this.queue.push({pending:s,pendingCount:Object.keys(s).length,loaded:{},errors:[],callback:i}),{toLoad:Object.keys(o),pending:Object.keys(s),toLoadLanguages:Object.keys(a),toLoadNamespaces:Object.keys(l)}}loaded(t,n,r){const i=t.split("|"),o=i[0],s=i[1];n&&this.emit("failedLoading",o,s,n),r&&this.store.addResourceBundle(o,s,r),this.state[t]=n?-1:2;const a={};this.queue.forEach(l=>{Wve(l.loaded,[o],s),a1e(l,t),n&&l.errors.push(n),l.pendingCount===0&&!l.done&&(Object.keys(l.loaded).forEach(u=>{a[u]||(a[u]={});const d=l.loaded[u];d.length&&d.forEach(f=>{a[u][f]===void 0&&(a[u][f]=!0)})}),l.done=!0,l.errors.length?l.callback(l.errors):l.callback())}),this.emit("loaded",a),this.queue=this.queue.filter(l=>!l.done)}read(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:0,o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:this.retryTimeout,s=arguments.length>5?arguments[5]:void 0;if(!t.length)return s(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:t,ns:n,fcName:r,tried:i,wait:o,callback:s});return}this.readingCalls++;const a=(u,d)=>{if(this.readingCalls--,this.waitingReads.length>0){const f=this.waitingReads.shift();this.read(f.lng,f.ns,f.fcName,f.tried,f.wait,f.callback)}if(u&&d&&i<this.maxRetries){setTimeout(()=>{this.read.call(this,t,n,r,i+1,o*2,s)},o);return}s(u,d)},l=this.backend[r].bind(this.backend);if(l.length===2){try{const u=l(t,n);u&&typeof u.then=="function"?u.then(d=>a(null,d)).catch(a):a(null,u)}catch(u){a(u)}return}return l(t,n,a)}prepareLoading(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i=arguments.length>3?arguments[3]:void 0;if(!this.backend)return this.logger.warn("No backend was added via i18next.use. Will not load resources."),i&&i();typeof t=="string"&&(t=this.languageUtils.toResolveHierarchy(t)),typeof n=="string"&&(n=[n]);const o=this.queueLoad(t,n,r,i);if(!o.toLoad.length)return o.pending.length||i(),null;o.toLoad.forEach(s=>{this.loadOne(s)})}load(t,n,r){this.prepareLoading(t,n,{},r)}reload(t,n,r){this.prepareLoading(t,n,{reload:!0},r)}loadOne(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:"";const r=t.split("|"),i=r[0],o=r[1];this.read(i,o,"read",void 0,void 0,(s,a)=>{s&&this.logger.warn(`${n}loading namespace ${o} for language ${i} failed`,s),!s&&a&&this.logger.log(`${n}loaded namespace ${o} for language ${i}`,a),this.loaded(t,s,a)})}saveMissing(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{},a=arguments.length>6&&arguments[6]!==void 0?arguments[6]:()=>{};if(this.services.utils&&this.services.utils.hasLoadedNamespace&&!this.services.utils.hasLoadedNamespace(n)){this.logger.warn(`did not save key "${r}" as the namespace "${n}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...s,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let d;u.length===5?d=u(t,n,r,i,l):d=u(t,n,r,i),d&&typeof d.then=="function"?d.then(f=>a(null,f)).catch(a):a(null,d)}catch(d){a(d)}else u(t,n,r,i,a,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function _O(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function bO(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function R0(){}function u1e(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class Mg extends eS{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=bO(t),this.services={},this.logger=Cs,this.modules={external:[]},u1e(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=_O();this.options={...i,...this.options,...bO(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(d){return d?typeof d=="function"?new d:d:null}if(!this.options.isClone){this.modules.logger?Cs.init(o(this.modules.logger),this.options):Cs.init(null,this.options);let d;this.modules.formatter?d=this.modules.formatter:typeof Intl<"u"&&(d=s1e);const f=new mO(this.options);this.store=new pO(this.options.resources,this.options);const p=this.services;p.logger=Cs,p.resourceStore=this.store,p.languageUtils=f,p.pluralResolver=new r1e(f,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),d&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(p.formatter=o(d),p.formatter.init(p,this.options),this.options.interpolation.format=p.formatter.format.bind(p.formatter)),p.interpolator=new i1e(this.options),p.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},p.backendConnector=new l1e(o(this.modules.backend),p.resourceStore,p,this.options),p.backendConnector.on("*",function(g){for(var m=arguments.length,v=new Array(m>1?m-1:0),x=1;x<m;x++)v[x-1]=arguments[x];t.emit(g,...v)}),this.modules.languageDetector&&(p.languageDetector=o(this.modules.languageDetector),p.languageDetector.init&&p.languageDetector.init(p,this.options.detection,this.options)),this.modules.i18nFormat&&(p.i18nFormat=o(this.modules.i18nFormat),p.i18nFormat.init&&p.i18nFormat.init(this)),this.translator=new X1(this.services,this.options),this.translator.on("*",function(g){for(var m=arguments.length,v=new Array(m>1?m-1:0),x=1;x<m;x++)v[x-1]=arguments[x];t.emit(g,...v)}),this.modules.external.forEach(g=>{g.init&&g.init(this)})}if(this.format=this.options.interpolation.format,r||(r=R0),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const d=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);d.length>0&&d[0]!=="dev"&&(this.options.lng=d[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is defined"),["getResource","hasResourceBundle","getResourceBundle","getDataByLanguage"].forEach(d=>{this[d]=function(){return t.store[d](...arguments)}}),["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(d=>{this[d]=function(){return t.store[d](...arguments),t}});const l=Xh(),u=()=>{const d=(f,p)=>{this.isInitialized&&!this.initializedStoreOnce&&this.logger.warn("init: i18next is already initialized. You should call init just once!"),this.isInitialized=!0,this.options.isClone||this.logger.log("initialized",this.options),this.emit("initialized",this.options),l.resolve(p),r(f,p)};if(this.languages&&this.options.compatibilityAPI!=="v1"&&!this.isInitialized)return d(null,this.t.bind(this));this.changeLanguage(this.options.lng,d)};return this.options.resources||!this.options.initImmediate?u():setTimeout(u,0),l}loadResources(t){let r=arguments.length>1&&arguments[1]!==void 0?arguments[1]:R0;const i=typeof t=="string"?t:this.language;if(typeof t=="function"&&(r=t),!this.options.resources||this.options.partialBundledLanguages){if(i&&i.toLowerCase()==="cimode")return r();const o=[],s=a=>{if(!a)return;this.services.languageUtils.toResolveHierarchy(a).forEach(u=>{o.indexOf(u)<0&&o.push(u)})};i?s(i):this.services.languageUtils.getFallbackCodes(this.options.fallbackLng).forEach(l=>s(l)),this.options.preload&&this.options.preload.forEach(a=>s(a)),this.services.backendConnector.load(o,this.options.ns,a=>{!a&&!this.resolvedLanguage&&this.language&&this.setResolvedLanguage(this.language),r(a)})}else r(null)}reloadResources(t,n,r){const i=Xh();return t||(t=this.languages),n||(n=this.options.ns),r||(r=R0),this.services.backendConnector.reload(t,n,o=>{i.resolve(),r(o)}),i}use(t){if(!t)throw new Error("You are passing an undefined module! Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&SU.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1))for(let n=0;n<this.languages.length;n++){const r=this.languages[n];if(!(["cimode","dev"].indexOf(r)>-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=Xh();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,d=>{s(d,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,d=new Array(u>2?u-2:0),f=2;f<u;f++)d[f-2]=arguments[f];l=i.options.overloadTranslationOptionHandler([s,a].concat(d))}else l={...a};l.lng=l.lng||o.lng,l.lngs=l.lngs||o.lngs,l.ns=l.ns||o.ns,l.keyPrefix=l.keyPrefix||r||o.keyPrefix;const p=i.options.keySeparator||".";let g;return l.keyPrefix&&Array.isArray(s)?g=s.map(m=>`${l.keyPrefix}${p}${m}`):g=l.keyPrefix?`${l.keyPrefix}${p}${s}`:s,i.t(g,l)};return typeof t=="string"?o.lng=t:o.lngs=t,o.ns=n,o.keyPrefix=r,o}t(){return this.translator&&this.translator.translate(...arguments)}exists(){return this.translator&&this.translator.exists(...arguments)}setDefaultNamespace(t){this.options.defaultNS=t}hasLoadedNamespace(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(!this.isInitialized)return this.logger.warn("hasLoadedNamespace: i18next was not initialized",this.languages),!1;if(!this.languages||!this.languages.length)return this.logger.warn("hasLoadedNamespace: i18n.languages were undefined or empty",this.languages),!1;const r=n.lng||this.resolvedLanguage||this.languages[0],i=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(r.toLowerCase()==="cimode")return!0;const s=(a,l)=>{const u=this.services.backendConnector.state[`${a}|${l}`];return u===-1||u===2};if(n.precheck){const a=n.precheck(this,s);if(a!==void 0)return a}return!!(this.hasResourceBundle(r,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||s(r,t)&&(!i||s(o,t)))}loadNamespaces(t,n){const r=Xh();return this.options.ns?(typeof t=="string"&&(t=[t]),t.forEach(i=>{this.options.ns.indexOf(i)<0&&this.options.ns.push(i)}),this.loadResources(i=>{r.resolve(),n&&n(i)}),r):(n&&n(),Promise.resolve())}loadLanguages(t,n){const r=Xh();typeof t=="string"&&(t=[t]);const i=this.options.preload||[],o=t.filter(s=>i.indexOf(s)<0);return o.length?(this.options.preload=i.concat(o),this.loadResources(s=>{r.resolve(),n&&n(s)}),r):(n&&n(),Promise.resolve())}dir(t){if(t||(t=this.resolvedLanguage||(this.languages&&this.languages.length>0?this.languages[0]:this.language)),!t)return"rtl";const n=["ar","shu","sqr","ssh","xaa","yhd","yud","aao","abh","abv","acm","acq","acw","acx","acy","adf","ads","aeb","aec","afb","ajp","apc","apd","arb","arq","ars","ary","arz","auz","avl","ayh","ayl","ayn","ayp","bbz","pga","he","iw","ps","pbt","pbu","pst","prp","prd","ug","ur","ydd","yds","yih","ji","yi","hbo","men","xmn","fa","jpr","peo","pes","prs","dv","sam","ckb"],r=this.services&&this.services.languageUtils||new mO(_O());return n.indexOf(r.getLanguagePartFromCode(t))>-1||t.toLowerCase().indexOf("-arab")>1?"rtl":"ltr"}static createInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;return new Mg(t,n)}cloneInstance(){let t=arguments.length>0&&arguments[0]!==void 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Kr=Mg.createInstance();Kr.createInstance=Mg.createInstance;Kr.createInstance;Kr.dir;Kr.init;Kr.loadResources;Kr.reloadResources;Kr.use;Kr.changeLanguage;Kr.getFixedT;const Pp=Kr.t;Kr.exists;Kr.setDefaultNamespace;Kr.hasLoadedNamespace;Kr.loadNamespaces;Kr.loadLanguages;const Ku=e=>typeof e=="string"?{title:e,status:"info",isClosable:!0,duration:2500}:{status:"info",isClosable:!0,duration:2500,...e},wU={isConnected:!1,isProcessing:!1,isGFPGANAvailable:!0,isESRGANAvailable:!0,shouldConfirmOnDelete:!0,currentStep:0,totalSteps:0,currentIteration:0,totalIterations:0,currentStatusHasSteps:!1,isCancelable:!0,enableImageDebugging:!1,toastQueue:[],progressImage:null,shouldAntialiasProgressImage:!1,sessionId:null,cancelType:"immediate",isCancelScheduled:!1,subscribedNodeIds:[],wereModelsReceived:!1,wasSchemaParsed:!1,consoleLogLevel:"debug",shouldLogToConsole:!0,statusTranslationKey:"common.statusDisconnected",canceledSession:"",isPersisted:!1,language:"en",isUploading:!1,isNodesEnabled:!1,shouldUseNSFWChecker:!1,shouldUseWatermarker:!1},xU=yn({name:"system",initialState:wU,reducers:{setIsProcessing:(e,t)=>{e.isProcessing=t.payload},setCurrentStatus:(e,t)=>{e.statusTranslationKey=t.payload},setShouldConfirmOnDelete:(e,t)=>{e.shouldConfirmOnDelete=t.payload},setIsCancelable:(e,t)=>{e.isCancelable=t.payload},setEnableImageDebugging:(e,t)=>{e.enableImageDebugging=t.payload},addToast:(e,t)=>{e.toastQueue.push(t.payload)},clearToastQueue:e=>{e.toastQueue=[]},cancelScheduled:e=>{e.isCancelScheduled=!0},scheduledCancelAborted:e=>{e.isCancelScheduled=!1},cancelTypeChanged:(e,t)=>{e.cancelType=t.payload},subscribedNodeIdsSet:(e,t)=>{e.subscribedNodeIds=t.payload},consoleLogLevelChanged:(e,t)=>{e.consoleLogLevel=t.payload},shouldLogToConsoleChanged:(e,t)=>{e.shouldLogToConsole=t.payload},shouldAntialiasProgressImageChanged:(e,t)=>{e.shouldAntialiasProgressImage=t.payload},isPersistedChanged:(e,t)=>{e.isPersisted=t.payload},languageChanged:(e,t)=>{e.language=t.payload},progressImageSet(e,t){e.progressImage=t.payload},setIsNodesEnabled(e,t){e.isNodesEnabled=t.payload},shouldUseNSFWCheckerChanged(e,t){e.shouldUseNSFWChecker=t.payload},shouldUseWatermarkerChanged(e,t){e.shouldUseWatermarker=t.payload}},extraReducers(e){e.addCase(q$,(t,n)=>{t.sessionId=n.payload.sessionId,t.canceledSession=""}),e.addCase(X$,t=>{t.sessionId=null}),e.addCase(G$,t=>{t.isConnected=!0,t.isCancelable=!0,t.isProcessing=!1,t.currentStatusHasSteps=!1,t.currentStep=0,t.totalSteps=0,t.currentIteration=0,t.totalIterations=0,t.statusTranslationKey="common.statusConnected"}),e.addCase(W$,t=>{t.isConnected=!1,t.isProcessing=!1,t.isCancelable=!0,t.currentStatusHasSteps=!1,t.currentStep=0,t.totalSteps=0,t.statusTranslationKey="common.statusDisconnected"}),e.addCase(Q$,t=>{t.isCancelable=!0,t.isProcessing=!0,t.currentStatusHasSteps=!1,t.currentStep=0,t.totalSteps=0,t.statusTranslationKey="common.statusGenerating"}),e.addCase(rF,(t,n)=>{const{step:r,total_steps:i,progress_image:o}=n.payload.data;t.isProcessing=!0,t.isCancelable=!0,t.currentStatusHasSteps=!0,t.currentStep=r+1,t.totalSteps=i,t.progressImage=o??null,t.statusTranslationKey="common.statusGenerating"}),e.addCase(Z$,(t,n)=>{const{data:r}=n.payload;t.currentStatusHasSteps=!1,t.currentStep=0,t.totalSteps=0,t.statusTranslationKey="common.statusProcessingComplete",t.canceledSession===r.graph_execution_state_id&&(t.isProcessing=!1,t.isCancelable=!0)}),e.addCase(tF,t=>{t.isProcessing=!1,t.isCancelable=!1,t.isCancelScheduled=!1,t.currentStep=0,t.totalSteps=0,t.statusTranslationKey="common.statusConnected",t.progressImage=null}),e.addCase(Em,t=>{t.isProcessing=!0,t.isCancelable=!0,t.currentStatusHasSteps=!1,t.statusTranslationKey="common.statusPreparing"}),e.addCase(mc.fulfilled,(t,n)=>{t.canceledSession=n.meta.arg.session_id,t.isProcessing=!1,t.isCancelable=!1,t.isCancelScheduled=!1,t.currentStep=0,t.totalSteps=0,t.statusTranslationKey="common.statusConnected",t.progressImage=null,t.toastQueue.push(Ku({title:Pp("toast.canceled"),status:"warning"}))}),e.addCase(oE,t=>{t.wasSchemaParsed=!0}),e.addMatcher(r$,(t,n)=>{var r;t.isProcessing=!1,t.isCancelable=!1,t.isCancelScheduled=!1,t.currentStep=0,t.totalSteps=0,t.statusTranslationKey="common.statusConnected",t.progressImage=null,t.toastQueue.push(Ku({title:Pp("toast.serverError"),status:"error",description:((r=n.payload)==null?void 0:r.status)===422?"Validation Error":void 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n=this.getCanvas();t?this.clearRect(t.x||0,t.y||0,t.width||0,t.height||0):this.clearRect(0,0,n.getWidth()/n.pixelRatio,n.getHeight()/n.pixelRatio)}_applyLineCap(t){const n=t.attrs.lineCap;n&&this.setAttr("lineCap",n)}_applyOpacity(t){var n=t.getAbsoluteOpacity();n!==1&&this.setAttr("globalAlpha",n)}_applyLineJoin(t){const n=t.attrs.lineJoin;n&&this.setAttr("lineJoin",n)}setAttr(t,n){this._context[t]=n}arc(t,n,r,i,o,s){this._context.arc(t,n,r,i,o,s)}arcTo(t,n,r,i,o){this._context.arcTo(t,n,r,i,o)}beginPath(){this._context.beginPath()}bezierCurveTo(t,n,r,i,o,s){this._context.bezierCurveTo(t,n,r,i,o,s)}clearRect(t,n,r,i){this._context.clearRect(t,n,r,i)}clip(...t){this._context.clip.apply(this._context,t)}closePath(){this._context.closePath()}createImageData(t,n){var r=arguments;if(r.length===2)return this._context.createImageData(t,n);if(r.length===1)return this._context.createImageData(t)}createLinearGradient(t,n,r,i){return this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,s){return this._context.createRadialGradient(t,n,r,i,o,s)}drawImage(t,n,r,i,o,s,a,l,u){var d=arguments,f=this._context;d.length===3?f.drawImage(t,n,r):d.length===5?f.drawImage(t,n,r,i,o):d.length===9&&f.drawImage(t,n,r,i,o,s,a,l,u)}ellipse(t,n,r,i,o,s,a,l){this._context.ellipse(t,n,r,i,o,s,a,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return this._context.getImageData(t,n,r,i)}lineTo(t,n){this._context.lineTo(t,n)}moveTo(t,n){this._context.moveTo(t,n)}rect(t,n,r,i){this._context.rect(t,n,r,i)}putImageData(t,n,r){this._context.putImageData(t,n,r)}quadraticCurveTo(t,n,r,i){this._context.quadraticCurveTo(t,n,r,i)}restore(){this._context.restore()}rotate(t){this._context.rotate(t)}save(){this._context.save()}scale(t,n){this._context.scale(t,n)}setLineDash(t){this._context.setLineDash?this._context.setLineDash(t):"mozDash"in this._context?this._context.mozDash=t:"webkitLineDash"in this._context&&(this._context.webkitLineDash=t)}getLineDash(){return this._context.getLineDash()}setTransform(t,n,r,i,o,s){this._context.setTransform(t,n,r,i,o,s)}stroke(t){t?this._context.stroke(t):this._context.stroke()}strokeText(t,n,r,i){this._context.strokeText(t,n,r,i)}transform(t,n,r,i,o,s){this._context.transform(t,n,r,i,o,s)}translate(t,n){this._context.translate(t,n)}_enableTrace(){var t=this,n=UO.length,r=this.setAttr,i,o,s=function(a){var 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n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",s=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,a=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),d=l.x*u,f=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",s*Math.min(Math.abs(d),Math.abs(f))),this.setAttr("shadowOffsetX",a.x*d),this.setAttr("shadowOffsetY",a.y*f)}}_a.SceneContext=kSe;class ISe extends oS{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}_a.HitContext=ISe;Object.defineProperty(Yo,"__esModule",{value:!0});Yo.HitCanvas=Yo.SceneCanvas=Yo.Canvas=void 0;const J1=Sn,WU=_a,qU=rt,MSe=nt,NSe=ke;var M0;function LSe(){if(M0)return M0;var e=J1.Util.createCanvasElement(),t=e.getContext("2d");return M0=function(){var n=qU.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),J1.Util.releaseCanvas(e),M0}class sS{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||qU.Konva.pixelRatio||LSe();this.pixelRatio=r,this._canvas=J1.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return J1.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}Yo.Canvas=sS;MSe.Factory.addGetterSetter(sS,"pixelRatio",void 0,(0,NSe.getNumberValidator)());class DSe extends sS{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new WU.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}Yo.SceneCanvas=DSe;class $Se extends sS{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new WU.HitContext(this),this.setSize(t.width,t.height)}}Yo.HitCanvas=$Se;var aS={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=rt,n=Sn;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(p=>p.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var d=a.dragDistance(),f=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(f<d||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(d=>d.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(aS);Object.defineProperty(fn,"__esModule",{value:!0});fn.Node=void 0;const ct=Sn,Am=nt,N0=Yo,Su=rt,uo=aS,Nn=ke;var _v="absoluteOpacity",L0="allEventListeners",aa="absoluteTransform",zO="absoluteScale",wu="canvas",FSe="Change",BSe="children",USe="konva",o5="listening",VO="mouseenter",jO="mouseleave",GO="set",HO="Shape",bv=" ",WO="stage",sl="transform",zSe="Stage",s5="visible",VSe=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(bv);let jSe=1;class ze{constructor(t){this._id=jSe++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===sl||t===aa)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===sl||t===aa,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(bv);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(wu)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===aa&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(wu)){const{scene:t,filter:n,hit:r}=this._cache.get(wu);ct.Util.releaseCanvas(t,n,r),this._cache.delete(wu)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,d=n.drawBorder||!1,f=n.hitCanvasPixelRatio||1;if(!i||!o){ct.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var p=new N0.SceneCanvas({pixelRatio:s,width:i,height:o}),g=new N0.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),m=new N0.HitCanvas({pixelRatio:f,width:i,height:o}),v=p.getContext(),x=m.getContext();return m.isCache=!0,p.isCache=!0,this._cache.delete(wu),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(p.getContext()._context.imageSmoothingEnabled=!1,g.getContext()._context.imageSmoothingEnabled=!1),v.save(),x.save(),v.translate(-a,-l),x.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(_v),this._clearSelfAndDescendantCache(zO),this.drawScene(p,this),this.drawHit(m,this),this._isUnderCache=!1,v.restore(),x.restore(),d&&(v.save(),v.beginPath(),v.rect(0,0,i,o),v.closePath(),v.setAttr("strokeStyle","red"),v.setAttr("lineWidth",5),v.stroke(),v.restore()),this._cache.set(wu,{scene:p,filter:g,hit:m,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(wu)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var d=l.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var d=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/d,r.getHeight()/d),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){ct.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(f){ct.Util.error("Unable to apply filter. "+f.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(L0),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(bv),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(bv),i=r.length,o,s,a,l,u,d;if(this._cache&&this._cache.delete(L0),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],d=l[1],u)this.eventListeners[u]&&this._off(u,d,n);else for(s in this.eventListeners)this._off(s,d,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=ct.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),uo.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(aa),this._clearSelfAndDescendantCache(_v),this._clearSelfAndDescendantCache(zO),this._clearSelfAndDescendantCache(WO),this._clearSelfAndDescendantCache(s5),this._clearSelfAndDescendantCache(o5)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+ct.Util._capitalize(t);return ct.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==BSe&&(r=GO+ct.Util._capitalize(n),ct.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(o5,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(s5,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;uo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!Su.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==HO&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==zSe&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(sl),this._clearSelfAndDescendantCache(aa)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new ct.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(sl);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(sl),this._clearSelfAndDescendantCache(aa),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return ct.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return ct.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return ct.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return ct.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return ct.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&ct.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(_v,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=ct.Util.isObject(i)&&!ct.Util._isPlainObject(i)&&!ct.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),ct.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],ct.Util.isValidSelector(o)||(ct.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),ct.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),ct.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(WO,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(aa,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new ct.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(aa)||new ct.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(sl,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(sl)||new ct.Transform;r.reset();var i=this.x(),o=this.y(),s=Su.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,d=this.attrs.skewY||0,f=this.attrs.offsetX||0,p=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||d!==0)&&r.skew(u,d),(a!==1||l!==1)&&r.scale(a,l),(f!==0||p!==0)&&r.translate(-1*f,-1*p),r.dirty=!1,r}clone(t){var n=ct.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(USe)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new N0.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,ct.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():Su.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+FSe,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[GO+ct.Util._capitalize(t)];return ct.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(Su.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!ct.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===HO&&(n.target=this);var i=(t===VO||t===jO)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===VO||t===jO)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(L0))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(L0,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;uo.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){uo.DD._dragElements.has(this._id)||this._createDragElement(t);const r=uo.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:ct.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=uo.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),uo.DD._endDragBefore(t),uo.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=uo.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||Su.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;uo.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=uo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&uo.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return ct.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return ct.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=ze.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),Su.Konva[r]||(ct.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=Su.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(ze._createNode(i[a]));return o}}fn.Node=ze;ze.prototype.nodeType="Node";ze.prototype._attrsAffectingSize=[];ze.prototype.eventListeners={};ze.prototype.on.call(ze.prototype,VSe,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(sl),this._clearSelfAndDescendantCache(aa)});ze.prototype.on.call(ze.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(s5)});ze.prototype.on.call(ze.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(o5)});ze.prototype.on.call(ze.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(_v)});const Kt=Am.Factory.addGetterSetter;Kt(ze,"zIndex");Kt(ze,"absolutePosition");Kt(ze,"position");Kt(ze,"x",0,(0,Nn.getNumberValidator)());Kt(ze,"y",0,(0,Nn.getNumberValidator)());Kt(ze,"globalCompositeOperation","source-over",(0,Nn.getStringValidator)());Kt(ze,"opacity",1,(0,Nn.getNumberValidator)());Kt(ze,"name","",(0,Nn.getStringValidator)());Kt(ze,"id","",(0,Nn.getStringValidator)());Kt(ze,"rotation",0,(0,Nn.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"scale",["x","y"]);Kt(ze,"scaleX",1,(0,Nn.getNumberValidator)());Kt(ze,"scaleY",1,(0,Nn.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"skew",["x","y"]);Kt(ze,"skewX",0,(0,Nn.getNumberValidator)());Kt(ze,"skewY",0,(0,Nn.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"offset",["x","y"]);Kt(ze,"offsetX",0,(0,Nn.getNumberValidator)());Kt(ze,"offsetY",0,(0,Nn.getNumberValidator)());Kt(ze,"dragDistance",null,(0,Nn.getNumberValidator)());Kt(ze,"width",0,(0,Nn.getNumberValidator)());Kt(ze,"height",0,(0,Nn.getNumberValidator)());Kt(ze,"listening",!0,(0,Nn.getBooleanValidator)());Kt(ze,"preventDefault",!0,(0,Nn.getBooleanValidator)());Kt(ze,"filters",null,function(e){return this._filterUpToDate=!1,e});Kt(ze,"visible",!0,(0,Nn.getBooleanValidator)());Kt(ze,"transformsEnabled","all",(0,Nn.getStringValidator)());Kt(ze,"size");Kt(ze,"dragBoundFunc");Kt(ze,"draggable",!1,(0,Nn.getBooleanValidator)());Am.Factory.backCompat(ze,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var vc={};Object.defineProperty(vc,"__esModule",{value:!0});vc.Container=void 0;const zf=nt,Dx=fn,lS=ke;class _c extends Dx.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=Dx.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=Dx.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const d=r===this;if(u){o.save();var f=this.getAbsoluteTransform(r),p=f.getMatrix();o.transform(p[0],p[1],p[2],p[3],p[4],p[5]),o.beginPath();let x;if(l)x=l.call(this,o,this);else{var g=this.clipX(),m=this.clipY();o.rect(g,m,s,a)}o.clip.apply(o,x),p=f.copy().invert().getMatrix(),o.transform(p[0],p[1],p[2],p[3],p[4],p[5])}var v=!d&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";v&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(x){x[t](n,r)}),v&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},d=this;(n=this.children)===null||n===void 0||n.forEach(function(v){if(v.visible()){var x=v.getClientRect({relativeTo:d,skipShadow:t.skipShadow,skipStroke:t.skipStroke});x.width===0&&x.height===0||(o===void 0?(o=x.x,s=x.y,a=x.x+x.width,l=x.y+x.height):(o=Math.min(o,x.x),s=Math.min(s,x.y),a=Math.max(a,x.x+x.width),l=Math.max(l,x.y+x.height)))}});for(var f=this.find("Shape"),p=!1,g=0;g<f.length;g++){var m=f[g];if(m._isVisible(this)){p=!0;break}}return p&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}vc.Container=_c;zf.Factory.addComponentsGetterSetter(_c,"clip",["x","y","width","height"]);zf.Factory.addGetterSetter(_c,"clipX",void 0,(0,lS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipY",void 0,(0,lS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipWidth",void 0,(0,lS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipHeight",void 0,(0,lS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipFunc");var KU={},Vi={};Object.defineProperty(Vi,"__esModule",{value:!0});Vi.releaseCapture=Vi.setPointerCapture=Vi.hasPointerCapture=Vi.createEvent=Vi.getCapturedShape=void 0;const GSe=rt,Lg=new Map,XU=GSe.Konva._global.PointerEvent!==void 0;function HSe(e){return Lg.get(e)}Vi.getCapturedShape=HSe;function yE(e){return{evt:e,pointerId:e.pointerId}}Vi.createEvent=yE;function WSe(e,t){return Lg.get(e)===t}Vi.hasPointerCapture=WSe;function qSe(e,t){YU(e),t.getStage()&&(Lg.set(e,t),XU&&t._fire("gotpointercapture",yE(new PointerEvent("gotpointercapture"))))}Vi.setPointerCapture=qSe;function YU(e,t){const n=Lg.get(e);if(!n)return;const r=n.getStage();r&&r.content,Lg.delete(e),XU&&n._fire("lostpointercapture",yE(new PointerEvent("lostpointercapture")))}Vi.releaseCapture=YU;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=Sn,n=nt,r=vc,i=rt,o=Yo,s=aS,a=rt,l=Vi;var u="Stage",d="string",f="px",p="mouseout",g="mouseleave",m="mouseover",v="mouseenter",x="mousemove",_="mousedown",b="mouseup",y="pointermove",S="pointerdown",C="pointerup",T="pointercancel",E="lostpointercapture",P="pointerout",k="pointerleave",O="pointerover",M="pointerenter",G="contextmenu",U="touchstart",A="touchend",N="touchmove",F="touchcancel",B="wheel",D=5,V=[[v,"_pointerenter"],[_,"_pointerdown"],[x,"_pointermove"],[b,"_pointerup"],[g,"_pointerleave"],[U,"_pointerdown"],[N,"_pointermove"],[A,"_pointerup"],[F,"_pointercancel"],[m,"_pointerover"],[B,"_wheel"],[G,"_contextmenu"],[S,"_pointerdown"],[y,"_pointermove"],[C,"_pointerup"],[T,"_pointercancel"],[E,"_lostpointercapture"]];const j={mouse:{[P]:p,[k]:g,[O]:m,[M]:v,[y]:x,[S]:_,[C]:b,[T]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[P]:"touchout",[k]:"touchleave",[O]:"touchover",[M]:"touchenter",[y]:N,[S]:U,[C]:A,[T]:F,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[P]:P,[k]:k,[O]:O,[M]:M,[y]:y,[S]:S,[C]:C,[T]:T,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},q=le=>le.indexOf("pointer")>=0?"pointer":le.indexOf("touch")>=0?"touch":"mouse",Z=le=>{const W=q(le);if(W==="pointer")return i.Konva.pointerEventsEnabled&&j.pointer;if(W==="touch")return j.touch;if(W==="mouse")return j.mouse};function ee(le={}){return(le.clipFunc||le.clipWidth||le.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),le}const ie="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class se extends r.Container{constructor(W){super(ee(W)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{ee(this.attrs)}),this._checkVisibility()}_validateAdd(W){const ne=W.getType()==="Layer",fe=W.getType()==="FastLayer";ne||fe||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const W=this.visible()?"":"none";this.content.style.display=W}setContainer(W){if(typeof W===d){if(W.charAt(0)==="."){var ne=W.slice(1);W=document.getElementsByClassName(ne)[0]}else{var fe;W.charAt(0)!=="#"?fe=W:fe=W.slice(1),W=document.getElementById(fe)}if(!W)throw"Can not find container in document with id "+fe}return this._setAttr("container",W),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),W.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var W=this.children,ne=W.length,fe;for(fe=0;fe<ne;fe++)W[fe].clear();return this}clone(W){return W||(W={}),W.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,W)}destroy(){super.destroy();var W=this.content;W&&t.Util._isInDocument(W)&&this.container().removeChild(W);var ne=e.stages.indexOf(this);return ne>-1&&e.stages.splice(ne,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const W=this._pointerPositions[0]||this._changedPointerPositions[0];return W?{x:W.x,y:W.y}:(t.Util.warn(ie),null)}_getPointerById(W){return this._pointerPositions.find(ne=>ne.id===W)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(W){W=W||{},W.x=W.x||0,W.y=W.y||0,W.width=W.width||this.width(),W.height=W.height||this.height();var ne=new o.SceneCanvas({width:W.width,height:W.height,pixelRatio:W.pixelRatio||1}),fe=ne.getContext()._context,pe=this.children;return(W.x||W.y)&&fe.translate(-1*W.x,-1*W.y),pe.forEach(function(ve){if(ve.isVisible()){var ye=ve._toKonvaCanvas(W);fe.drawImage(ye._canvas,W.x,W.y,ye.getWidth()/ye.getPixelRatio(),ye.getHeight()/ye.getPixelRatio())}}),ne}getIntersection(W){if(!W)return null;var ne=this.children,fe=ne.length,pe=fe-1,ve;for(ve=pe;ve>=0;ve--){const ye=ne[ve].getIntersection(W);if(ye)return ye}return null}_resizeDOM(){var W=this.width(),ne=this.height();this.content&&(this.content.style.width=W+f,this.content.style.height=ne+f),this.bufferCanvas.setSize(W,ne),this.bufferHitCanvas.setSize(W,ne),this.children.forEach(fe=>{fe.setSize({width:W,height:ne}),fe.draw()})}add(W,...ne){if(arguments.length>1){for(var fe=0;fe<arguments.length;fe++)this.add(arguments[fe]);return this}super.add(W);var pe=this.children.length;return pe>D&&t.Util.warn("The stage has "+pe+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),W.setSize({width:this.width(),height:this.height()}),W.draw(),i.Konva.isBrowser&&this.content.appendChild(W.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(W){return l.hasPointerCapture(W,this)}setPointerCapture(W){l.setPointerCapture(W,this)}releaseCapture(W){l.releaseCapture(W,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&V.forEach(([W,ne])=>{this.content.addEventListener(W,fe=>{this[ne](fe)},{passive:!1})})}_pointerenter(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerenter,{evt:W,target:this,currentTarget:this})}_pointerover(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this})}_getTargetShape(W){let ne=this[W+"targetShape"];return ne&&!ne.getStage()&&(ne=null),ne}_pointerleave(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=this._getTargetShape(fe),ve=!s.DD.isDragging||i.Konva.hitOnDragEnabled;pe&&ve?(pe._fireAndBubble(ne.pointerout,{evt:W}),pe._fireAndBubble(ne.pointerleave,{evt:W}),this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this[fe+"targetShape"]=null):ve&&(this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this._fire(ne.pointerout,{evt:W,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=!1;this._changedPointerPositions.forEach(ve=>{var ye=this.getIntersection(ve);if(s.DD.justDragged=!1,i.Konva["_"+fe+"ListenClick"]=!0,!(ye&&ye.isListening()))return;i.Konva.capturePointerEventsEnabled&&ye.setPointerCapture(ve.id),this[fe+"ClickStartShape"]=ye,ye._fireAndBubble(ne.pointerdown,{evt:W,pointerId:ve.id}),pe=!0;const Me=W.type.indexOf("touch")>=0;ye.preventDefault()&&W.cancelable&&Me&&W.preventDefault()}),pe||this._fire(ne.pointerdown,{evt:W,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;s.DD.isDragging&&s.DD.node.preventDefault()&&W.cancelable&&W.preventDefault(),this.setPointersPositions(W);var pe=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!pe)return;var ve={};let ye=!1;var We=this._getTargetShape(fe);this._changedPointerPositions.forEach(Me=>{const Ee=l.getCapturedShape(Me.id)||this.getIntersection(Me),lt=Me.id,_e={evt:W,pointerId:lt};var jt=We!==Ee;if(jt&&We&&(We._fireAndBubble(ne.pointerout,Object.assign({},_e),Ee),We._fireAndBubble(ne.pointerleave,Object.assign({},_e),Ee)),Ee){if(ve[Ee._id])return;ve[Ee._id]=!0}Ee&&Ee.isListening()?(ye=!0,jt&&(Ee._fireAndBubble(ne.pointerover,Object.assign({},_e),We),Ee._fireAndBubble(ne.pointerenter,Object.assign({},_e),We),this[fe+"targetShape"]=Ee),Ee._fireAndBubble(ne.pointermove,Object.assign({},_e))):We&&(this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this,pointerId:lt}),this[fe+"targetShape"]=null)}),ye||this._fire(ne.pointermove,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;this.setPointersPositions(W);const pe=this[fe+"ClickStartShape"],ve=this[fe+"ClickEndShape"];var ye={};let We=!1;this._changedPointerPositions.forEach(Me=>{const Ee=l.getCapturedShape(Me.id)||this.getIntersection(Me);if(Ee){if(Ee.releaseCapture(Me.id),ye[Ee._id])return;ye[Ee._id]=!0}const lt=Me.id,_e={evt:W,pointerId:lt};let jt=!1;i.Konva["_"+fe+"InDblClickWindow"]?(jt=!0,clearTimeout(this[fe+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+fe+"InDblClickWindow"]=!0,clearTimeout(this[fe+"DblTimeout"])),this[fe+"DblTimeout"]=setTimeout(function(){i.Konva["_"+fe+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),Ee&&Ee.isListening()?(We=!0,this[fe+"ClickEndShape"]=Ee,Ee._fireAndBubble(ne.pointerup,Object.assign({},_e)),i.Konva["_"+fe+"ListenClick"]&&pe&&pe===Ee&&(Ee._fireAndBubble(ne.pointerclick,Object.assign({},_e)),jt&&ve&&ve===Ee&&Ee._fireAndBubble(ne.pointerdblclick,Object.assign({},_e)))):(this[fe+"ClickEndShape"]=null,i.Konva["_"+fe+"ListenClick"]&&this._fire(ne.pointerclick,{evt:W,target:this,currentTarget:this,pointerId:lt}),jt&&this._fire(ne.pointerdblclick,{evt:W,target:this,currentTarget:this,pointerId:lt}))}),We||this._fire(ne.pointerup,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+fe+"ListenClick"]=!1,W.cancelable&&fe!=="touch"&&W.preventDefault()}_contextmenu(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(G,{evt:W}):this._fire(G,{evt:W,target:this,currentTarget:this})}_wheel(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(B,{evt:W}):this._fire(B,{evt:W,target:this,currentTarget:this})}_pointercancel(W){this.setPointersPositions(W);const ne=l.getCapturedShape(W.pointerId)||this.getIntersection(this.getPointerPosition());ne&&ne._fireAndBubble(C,l.createEvent(W)),l.releaseCapture(W.pointerId)}_lostpointercapture(W){l.releaseCapture(W.pointerId)}setPointersPositions(W){var ne=this._getContentPosition(),fe=null,pe=null;W=W||window.event,W.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(W.touches,ve=>{this._pointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})}),Array.prototype.forEach.call(W.changedTouches||W.touches,ve=>{this._changedPointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})})):(fe=(W.clientX-ne.left)/ne.scaleX,pe=(W.clientY-ne.top)/ne.scaleY,this.pointerPos={x:fe,y:pe},this._pointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}],this._changedPointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}])}_setPointerPosition(W){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(W)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var W=this.content.getBoundingClientRect();return{top:W.top,left:W.left,scaleX:W.width/this.content.clientWidth||1,scaleY:W.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var W=this.container();if(!W)throw"Stage has no container. A container is required.";W.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),W.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(W){W.batchDraw()}),this}}e.Stage=se,se.prototype.nodeType=u,(0,a._registerNode)(se),n.Factory.addGetterSetter(se,"container")})(KU);var Pm={},rr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=rt,n=Sn,r=nt,i=fn,o=ke,s=rt,a=Vi;var l="hasShadow",u="shadowRGBA",d="patternImage",f="linearGradient",p="radialGradient";let g;function m(){return g||(g=n.Util.createCanvasElement().getContext("2d"),g)}e.shapes={};function v(k){const O=this.attrs.fillRule;O?k.fill(O):k.fill()}function x(k){k.stroke()}function _(k){k.fill()}function b(k){k.stroke()}function y(){this._clearCache(l)}function S(){this._clearCache(u)}function C(){this._clearCache(d)}function T(){this._clearCache(f)}function E(){this._clearCache(p)}class P extends i.Node{constructor(O){super(O);let M;for(;M=n.Util.getRandomColor(),!(M&&!(M in e.shapes)););this.colorKey=M,e.shapes[M]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(d,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var O=m();const M=O.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(M&&M.setTransform){const G=new n.Transform;G.translate(this.fillPatternX(),this.fillPatternY()),G.rotate(t.Konva.getAngle(this.fillPatternRotation())),G.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),G.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const U=G.getMatrix(),A=typeof DOMMatrix>"u"?{a:U[0],b:U[1],c:U[2],d:U[3],e:U[4],f:U[5]}:new DOMMatrix(U);M.setTransform(A)}return M}}_getLinearGradient(){return this._getCache(f,this.__getLinearGradient)}__getLinearGradient(){var O=this.fillLinearGradientColorStops();if(O){for(var M=m(),G=this.fillLinearGradientStartPoint(),U=this.fillLinearGradientEndPoint(),A=M.createLinearGradient(G.x,G.y,U.x,U.y),N=0;N<O.length;N+=2)A.addColorStop(O[N],O[N+1]);return A}}_getRadialGradient(){return this._getCache(p,this.__getRadialGradient)}__getRadialGradient(){var O=this.fillRadialGradientColorStops();if(O){for(var M=m(),G=this.fillRadialGradientStartPoint(),U=this.fillRadialGradientEndPoint(),A=M.createRadialGradient(G.x,G.y,this.fillRadialGradientStartRadius(),U.x,U.y,this.fillRadialGradientEndRadius()),N=0;N<O.length;N+=2)A.addColorStop(O[N],O[N+1]);return A}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var O=n.Util.colorToRGBA(this.shadowColor());if(O)return"rgba("+O.r+","+O.g+","+O.b+","+O.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const O=this.hitStrokeWidth();return O==="auto"?this.hasStroke():this.strokeEnabled()&&!!O}intersects(O){var M=this.getStage(),G=M.bufferHitCanvas,U;return G.getContext().clear(),this.drawHit(G,null,!0),U=G.context.getImageData(Math.round(O.x),Math.round(O.y),1,1).data,U[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(O){var M;if(!this.getStage()||!((M=this.attrs.perfectDrawEnabled)!==null&&M!==void 0?M:!0))return!1;const U=O||this.hasFill(),A=this.hasStroke(),N=this.getAbsoluteOpacity()!==1;if(U&&A&&N)return!0;const F=this.hasShadow(),B=this.shadowForStrokeEnabled();return!!(U&&A&&F&&B)}setStrokeHitEnabled(O){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),O?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var O=this.size();return{x:this._centroid?-O.width/2:0,y:this._centroid?-O.height/2:0,width:O.width,height:O.height}}getClientRect(O={}){const M=O.skipTransform,G=O.relativeTo,U=this.getSelfRect(),N=!O.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,F=U.width+N,B=U.height+N,D=!O.skipShadow&&this.hasShadow(),V=D?this.shadowOffsetX():0,j=D?this.shadowOffsetY():0,q=F+Math.abs(V),Z=B+Math.abs(j),ee=D&&this.shadowBlur()||0,ie=q+ee*2,se=Z+ee*2,le={width:ie,height:se,x:-(N/2+ee)+Math.min(V,0)+U.x,y:-(N/2+ee)+Math.min(j,0)+U.y};return M?le:this._transformedRect(le,G)}drawScene(O,M){var G=this.getLayer(),U=O||G.getCanvas(),A=U.getContext(),N=this._getCanvasCache(),F=this.getSceneFunc(),B=this.hasShadow(),D,V,j,q=U.isCache,Z=M===this;if(!this.isVisible()&&!Z)return this;if(N){A.save();var ee=this.getAbsoluteTransform(M).getMatrix();return A.transform(ee[0],ee[1],ee[2],ee[3],ee[4],ee[5]),this._drawCachedSceneCanvas(A),A.restore(),this}if(!F)return this;if(A.save(),this._useBufferCanvas()&&!q){D=this.getStage(),V=D.bufferCanvas,j=V.getContext(),j.clear(),j.save(),j._applyLineJoin(this);var ie=this.getAbsoluteTransform(M).getMatrix();j.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),F.call(this,j,this),j.restore();var se=V.pixelRatio;B&&A._applyShadow(this),A._applyOpacity(this),A._applyGlobalCompositeOperation(this),A.drawImage(V._canvas,0,0,V.width/se,V.height/se)}else{if(A._applyLineJoin(this),!Z){var ie=this.getAbsoluteTransform(M).getMatrix();A.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),A._applyOpacity(this),A._applyGlobalCompositeOperation(this)}B&&A._applyShadow(this),F.call(this,A,this)}return A.restore(),this}drawHit(O,M,G=!1){if(!this.shouldDrawHit(M,G))return this;var U=this.getLayer(),A=O||U.hitCanvas,N=A&&A.getContext(),F=this.hitFunc()||this.sceneFunc(),B=this._getCanvasCache(),D=B&&B.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),D){N.save();var V=this.getAbsoluteTransform(M).getMatrix();return N.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedHitCanvas(N),N.restore(),this}if(!F)return this;if(N.save(),N._applyLineJoin(this),!(this===M)){var q=this.getAbsoluteTransform(M).getMatrix();N.transform(q[0],q[1],q[2],q[3],q[4],q[5])}return F.call(this,N,this),N.restore(),this}drawHitFromCache(O=0){var M=this._getCanvasCache(),G=this._getCachedSceneCanvas(),U=M.hit,A=U.getContext(),N=U.getWidth(),F=U.getHeight(),B,D,V,j,q,Z;A.clear(),A.drawImage(G._canvas,0,0,N,F);try{for(B=A.getImageData(0,0,N,F),D=B.data,V=D.length,j=n.Util._hexToRgb(this.colorKey),q=0;q<V;q+=4)Z=D[q+3],Z>O?(D[q]=j.r,D[q+1]=j.g,D[q+2]=j.b,D[q+3]=255):D[q+3]=0;A.putImageData(B,0,0)}catch(ee){n.Util.error("Unable to draw hit graph from cached scene canvas. "+ee.message)}return this}hasPointerCapture(O){return a.hasPointerCapture(O,this)}setPointerCapture(O){a.setPointerCapture(O,this)}releaseCapture(O){a.releaseCapture(O,this)}}e.Shape=P,P.prototype._fillFunc=v,P.prototype._strokeFunc=x,P.prototype._fillFuncHit=_,P.prototype._strokeFuncHit=b,P.prototype._centroid=!1,P.prototype.nodeType="Shape",(0,s._registerNode)(P),P.prototype.eventListeners={},P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",y),P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",S),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",C),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",T),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",E),r.Factory.addGetterSetter(P,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(P,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(P,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"lineJoin"),r.Factory.addGetterSetter(P,"lineCap"),r.Factory.addGetterSetter(P,"sceneFunc"),r.Factory.addGetterSetter(P,"hitFunc"),r.Factory.addGetterSetter(P,"dash"),r.Factory.addGetterSetter(P,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(P,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(P,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternImage"),r.Factory.addGetterSetter(P,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(P,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(P,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(P,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(P,"fillEnabled",!0),r.Factory.addGetterSetter(P,"strokeEnabled",!0),r.Factory.addGetterSetter(P,"shadowEnabled",!0),r.Factory.addGetterSetter(P,"dashEnabled",!0),r.Factory.addGetterSetter(P,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(P,"fillPriority","color"),r.Factory.addComponentsGetterSetter(P,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(P,"fillPatternRotation",0),r.Factory.addGetterSetter(P,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(P,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(rr);Object.defineProperty(Pm,"__esModule",{value:!0});Pm.Layer=void 0;const ra=Sn,$x=vc,hd=fn,vE=nt,qO=Yo,KSe=ke,XSe=rr,YSe=rt;var QSe="#",ZSe="beforeDraw",JSe="draw",QU=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],e2e=QU.length;class Vf extends $x.Container{constructor(t){super(t),this.canvas=new qO.SceneCanvas,this.hitCanvas=new qO.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){hd.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=hd.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(hd.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(hd.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return hd.Node.prototype.remove.call(this),t&&t.parentNode&&ra.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&ra.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),hd.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){ra.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){ra.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,ra.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<e2e;i++){const o=QU[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=ra.Util._rgbToHex(r[0],r[1],r[2]),s=XSe.shapes[QSe+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(ZSe,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),$x.Container.prototype.drawScene.call(this,i,n),this._fire(JSe,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),$x.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){ra.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return ra.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return ra.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Pm.Layer=Vf;Vf.prototype.nodeType="Layer";(0,YSe._registerNode)(Vf);vE.Factory.addGetterSetter(Vf,"imageSmoothingEnabled",!0);vE.Factory.addGetterSetter(Vf,"clearBeforeDraw",!0);vE.Factory.addGetterSetter(Vf,"hitGraphEnabled",!0,(0,KSe.getBooleanValidator)());var uS={};Object.defineProperty(uS,"__esModule",{value:!0});uS.FastLayer=void 0;const t2e=Sn,n2e=Pm,r2e=rt;class _E extends n2e.Layer{constructor(t){super(t),this.listening(!1),t2e.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}uS.FastLayer=_E;_E.prototype.nodeType="FastLayer";(0,r2e._registerNode)(_E);var jf={};Object.defineProperty(jf,"__esModule",{value:!0});jf.Group=void 0;const i2e=Sn,o2e=vc,s2e=rt;class bE extends o2e.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&i2e.Util.throw("You may only add groups and shapes to groups.")}}jf.Group=bE;bE.prototype.nodeType="Group";(0,s2e._registerNode)(bE);var Gf={};Object.defineProperty(Gf,"__esModule",{value:!0});Gf.Animation=void 0;const Fx=rt,KO=Sn;var Bx=function(){return Fx.glob.performance&&Fx.glob.performance.now?function(){return Fx.glob.performance.now()}:function(){return new Date().getTime()}}();class ws{constructor(t,n){this.id=ws.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Bx(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=ws,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=Bx(),ws._addAnimation(this),this}stop(){return ws._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,d,f;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(Bx()),l=i.length,o?f=o.call(r,r.frame)!==!1:f=!0,!!f)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(d in t)t.hasOwnProperty(d)&&t[d].batchDraw()}static _animationLoop(){var t=ws;t.animations.length?(t._runFrames(),KO.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,KO.Util.requestAnimFrame(this._animationLoop))}}Gf.Animation=ws;ws.animations=[];ws.animIdCounter=0;ws.animRunning=!1;var ZU={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=Sn,n=Gf,r=fn,i=rt;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,d=["fill","stroke","shadowColor"];class f{constructor(m,v,x,_,b,y,S){this.prop=m,this.propFunc=v,this.begin=_,this._pos=_,this.duration=y,this._change=0,this.prevPos=0,this.yoyo=S,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=x,this._change=b-this.begin,this.pause()}fire(m){var v=this[m];v&&v()}setTime(m){m>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():m<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=m,this.update())}getTime(){return this._time}setPosition(m){this.prevPos=this._pos,this.propFunc(m),this._pos=m}getPosition(m){return m===void 0&&(m=this._time),this.func(m,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(m){this.pause(),this._time=m,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var m=this.getTimer()-this._startTime;this.state===a?this.setTime(m):this.state===l&&this.setTime(this.duration-m)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class p{constructor(m){var v=this,x=m.node,_=x._id,b,y=m.easing||e.Easings.Linear,S=!!m.yoyo,C;typeof m.duration>"u"?b=.3:m.duration===0?b=.001:b=m.duration,this.node=x,this._id=u++;var T=x.getLayer()||(x instanceof i.Konva.Stage?x.getLayers():null);T||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){v.tween.onEnterFrame()},T),this.tween=new f(C,function(E){v._tweenFunc(E)},y,0,1,b*1e3,S),this._addListeners(),p.attrs[_]||(p.attrs[_]={}),p.attrs[_][this._id]||(p.attrs[_][this._id]={}),p.tweens[_]||(p.tweens[_]={});for(C in m)o[C]===void 0&&this._addAttr(C,m[C]);this.reset(),this.onFinish=m.onFinish,this.onReset=m.onReset,this.onUpdate=m.onUpdate}_addAttr(m,v){var x=this.node,_=x._id,b,y,S,C,T,E,P,k;if(S=p.tweens[_][m],S&&delete p.attrs[_][S][m],b=x.getAttr(m),t.Util._isArray(v))if(y=[],T=Math.max(v.length,b.length),m==="points"&&v.length!==b.length&&(v.length>b.length?(P=b,b=t.Util._prepareArrayForTween(b,v,x.closed())):(E=v,v=t.Util._prepareArrayForTween(v,b,x.closed()))),m.indexOf("fill")===0)for(C=0;C<T;C++)if(C%2===0)y.push(v[C]-b[C]);else{var O=t.Util.colorToRGBA(b[C]);k=t.Util.colorToRGBA(v[C]),b[C]=O,y.push({r:k.r-O.r,g:k.g-O.g,b:k.b-O.b,a:k.a-O.a})}else for(C=0;C<T;C++)y.push(v[C]-b[C]);else d.indexOf(m)!==-1?(b=t.Util.colorToRGBA(b),k=t.Util.colorToRGBA(v),y={r:k.r-b.r,g:k.g-b.g,b:k.b-b.b,a:k.a-b.a}):y=v-b;p.attrs[_][this._id][m]={start:b,diff:y,end:v,trueEnd:E,trueStart:P},p.tweens[_][m]=this._id}_tweenFunc(m){var v=this.node,x=p.attrs[v._id][this._id],_,b,y,S,C,T,E,P;for(_ in x){if(b=x[_],y=b.start,S=b.diff,P=b.end,t.Util._isArray(y))if(C=[],E=Math.max(y.length,P.length),_.indexOf("fill")===0)for(T=0;T<E;T++)T%2===0?C.push((y[T]||0)+S[T]*m):C.push("rgba("+Math.round(y[T].r+S[T].r*m)+","+Math.round(y[T].g+S[T].g*m)+","+Math.round(y[T].b+S[T].b*m)+","+(y[T].a+S[T].a*m)+")");else for(T=0;T<E;T++)C.push((y[T]||0)+S[T]*m);else d.indexOf(_)!==-1?C="rgba("+Math.round(y.r+S.r*m)+","+Math.round(y.g+S.g*m)+","+Math.round(y.b+S.b*m)+","+(y.a+S.a*m)+")":C=y+S*m;v.setAttr(_,C)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var m=this.node,v=p.attrs[m._id][this._id];v.points&&v.points.trueEnd&&m.setAttr("points",v.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var m=this.node,v=p.attrs[m._id][this._id];v.points&&v.points.trueStart&&m.points(v.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(m){return this.tween.seek(m*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var m=this.node._id,v=this._id,x=p.tweens[m],_;this.pause();for(_ in x)delete p.tweens[m][_];delete p.attrs[m][v]}}e.Tween=p,p.attrs={},p.tweens={},r.Node.prototype.to=function(g){var m=g.onFinish;g.node=this,g.onFinish=function(){this.destroy(),m&&m()};var v=new p(g);v.play()},e.Easings={BackEaseIn(g,m,v,x){var _=1.70158;return v*(g/=x)*g*((_+1)*g-_)+m},BackEaseOut(g,m,v,x){var _=1.70158;return v*((g=g/x-1)*g*((_+1)*g+_)+1)+m},BackEaseInOut(g,m,v,x){var _=1.70158;return(g/=x/2)<1?v/2*(g*g*(((_*=1.525)+1)*g-_))+m:v/2*((g-=2)*g*(((_*=1.525)+1)*g+_)+2)+m},ElasticEaseIn(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x)===1?m+v:(b||(b=x*.3),!_||_<Math.abs(v)?(_=v,y=b/4):y=b/(2*Math.PI)*Math.asin(v/_),-(_*Math.pow(2,10*(g-=1))*Math.sin((g*x-y)*(2*Math.PI)/b))+m)},ElasticEaseOut(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x)===1?m+v:(b||(b=x*.3),!_||_<Math.abs(v)?(_=v,y=b/4):y=b/(2*Math.PI)*Math.asin(v/_),_*Math.pow(2,-10*g)*Math.sin((g*x-y)*(2*Math.PI)/b)+v+m)},ElasticEaseInOut(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x/2)===2?m+v:(b||(b=x*(.3*1.5)),!_||_<Math.abs(v)?(_=v,y=b/4):y=b/(2*Math.PI)*Math.asin(v/_),g<1?-.5*(_*Math.pow(2,10*(g-=1))*Math.sin((g*x-y)*(2*Math.PI)/b))+m:_*Math.pow(2,-10*(g-=1))*Math.sin((g*x-y)*(2*Math.PI)/b)*.5+v+m)},BounceEaseOut(g,m,v,x){return(g/=x)<1/2.75?v*(7.5625*g*g)+m:g<2/2.75?v*(7.5625*(g-=1.5/2.75)*g+.75)+m:g<2.5/2.75?v*(7.5625*(g-=2.25/2.75)*g+.9375)+m:v*(7.5625*(g-=2.625/2.75)*g+.984375)+m},BounceEaseIn(g,m,v,x){return v-e.Easings.BounceEaseOut(x-g,0,v,x)+m},BounceEaseInOut(g,m,v,x){return g<x/2?e.Easings.BounceEaseIn(g*2,0,v,x)*.5+m:e.Easings.BounceEaseOut(g*2-x,0,v,x)*.5+v*.5+m},EaseIn(g,m,v,x){return v*(g/=x)*g+m},EaseOut(g,m,v,x){return-v*(g/=x)*(g-2)+m},EaseInOut(g,m,v,x){return(g/=x/2)<1?v/2*g*g+m:-v/2*(--g*(g-2)-1)+m},StrongEaseIn(g,m,v,x){return v*(g/=x)*g*g*g*g+m},StrongEaseOut(g,m,v,x){return v*((g=g/x-1)*g*g*g*g+1)+m},StrongEaseInOut(g,m,v,x){return(g/=x/2)<1?v/2*g*g*g*g*g+m:v/2*((g-=2)*g*g*g*g+2)+m},Linear(g,m,v,x){return v*g/x+m}}})(ZU);(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Konva=void 0;const t=rt,n=Sn,r=fn,i=vc,o=KU,s=Pm,a=uS,l=jf,u=aS,d=rr,f=Gf,p=ZU,g=_a,m=Yo;e.Konva=n.Util._assign(t.Konva,{Util:n.Util,Transform:n.Transform,Node:r.Node,Container:i.Container,Stage:o.Stage,stages:o.stages,Layer:s.Layer,FastLayer:a.FastLayer,Group:l.Group,DD:u.DD,Shape:d.Shape,shapes:d.shapes,Animation:f.Animation,Tween:p.Tween,Easings:p.Easings,Context:g.Context,Canvas:m.Canvas}),e.default=e.Konva})(GU);var cS={};Object.defineProperty(cS,"__esModule",{value:!0});cS.Arc=void 0;const dS=nt,a2e=rr,XO=rt,fS=ke,l2e=rt;class Ba extends a2e.Shape{_sceneFunc(t){var n=XO.Konva.getAngle(this.angle()),r=this.clockwise();t.beginPath(),t.arc(0,0,this.outerRadius(),0,n,r),t.arc(0,0,this.innerRadius(),n,0,!r),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return 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a=s[0],l=s[1],u=s[2],d=s[3],f=s[4],p=s[5],g=s[6],m=s[7],v=u>d?u:d,x=u>d?1:u/d,_=u>d?d/u:1;t.translate(a,l),t.rotate(g),t.scale(x,_),t.arc(0,0,v,f,f+p,1-m),t.scale(1/x,1/_),t.rotate(-g),t.translate(-a,-l);break;case"z":r=!0,t.closePath();break}}!r&&!this.hasFill()?t.strokeShape(this):t.fillStrokeShape(this)}getSelfRect(){var t=[];this.dataArray.forEach(function(u){if(u.command==="A"){var d=u.points[4],f=u.points[5],p=u.points[4]+f,g=Math.PI/180;if(Math.abs(d-p)<g&&(g=Math.abs(d-p)),f<0)for(let m=d-g;m>p;m-=g){const v=Qn.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],m,0);t.push(v.x,v.y)}else for(let m=d+g;m<p;m+=g){const v=Qn.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],m,0);t.push(v.x,v.y)}}else if(u.command==="C")for(let m=0;m<=1;m+=.01){const v=Qn.getPointOnCubicBezier(m,u.start.x,u.start.y,u.points[0],u.points[1],u.points[2],u.points[3],u.points[4],u.points[5]);t.push(v.x,v.y)}else t=t.concat(u.points)});for(var n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],isNaN(s)||(n=Math.min(n,s),r=Math.max(r,s)),isNaN(a)||(i=Math.min(i,a),o=Math.max(o,a));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return Qn.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return Qn.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return Qn.getPointOnCubicBezier((0,pd.t2length)(t,Qn.getPathLength(n),v=>(0,pd.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return Qn.getPointOnQuadraticBezier((0,pd.t2length)(t,Qn.getPathLength(n),v=>(0,pd.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],d=a[2],f=a[3],p=a[4],g=a[5],m=a[6];return p+=g*t/s.pathLength,Qn.getPointOnEllipticalArc(l,u,d,f,p,m)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var d=l*u,f;if(i===n)f={x:s,y:a+d};else if((a-r)/(s-n+1e-8)===l)f={x:s+u,y:a+d};else{var p,g,m=this.getLineLength(n,r,i,o),v=(s-n)*(i-n)+(a-r)*(o-r);v=v/(m*m),p=n+v*(i-n),g=r+v*(o-r);var x=this.getLineLength(s,a,p,g),_=Math.sqrt(t*t-x*x);u=Math.sqrt(_*_/(1+l*l)),i<n&&(u*=-1),d=l*u,f={x:p+u,y:g+d}}return f}static getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function d(x){return x*x*x}function f(x){return 3*x*x*(1-x)}function p(x){return 3*x*(1-x)*(1-x)}function g(x){return(1-x)*(1-x)*(1-x)}var m=l*d(t)+s*f(t)+i*p(t)+n*g(t),v=u*d(t)+a*f(t)+o*p(t)+r*g(t);return{x:m,y:v}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(g){return g*g}function u(g){return 2*g*(1-g)}function d(g){return(1-g)*(1-g)}var f=s*l(t)+i*u(t)+n*d(t),p=a*l(t)+o*u(t)+r*d(t);return{x:f,y:p}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,d=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,f;for(i=1;i<o.length;i++){var p=o[i],g=p.charAt(0);for(p=p.slice(1),a.length=0;f=d.exec(p);)a.push(f[0]);for(var m=[],v=0,x=a.length;v<x;v++){if(a[v]==="00"){m.push(0,0);continue}var _=parseFloat(a[v]);isNaN(_)?m.push(0):m.push(_)}for(;m.length>0&&!isNaN(m[0]);){var b=null,y=[],S=l,C=u,T,E,P,k,O,M,G,U,A,N;switch(g){case"l":l+=m.shift(),u+=m.shift(),b="L",y.push(l,u);break;case"L":l=m.shift(),u=m.shift(),y.push(l,u);break;case"m":var F=m.shift(),B=m.shift();if(l+=F,u+=B,b="M",s.length>2&&s[s.length-1].command==="z"){for(var D=s.length-2;D>=0;D--)if(s[D].command==="M"){l=s[D].points[0]+F,u=s[D].points[1]+B;break}}y.push(l,u),g="l";break;case"M":l=m.shift(),u=m.shift(),b="M",y.push(l,u),g="L";break;case"h":l+=m.shift(),b="L",y.push(l,u);break;case"H":l=m.shift(),b="L",y.push(l,u);break;case"v":u+=m.shift(),b="L",y.push(l,u);break;case"V":u=m.shift(),b="L",y.push(l,u);break;case"C":y.push(m.shift(),m.shift(),m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"c":y.push(l+m.shift(),u+m.shift(),l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"S":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,m.shift(),m.shift()),l=m.shift(),u=m.shift(),b="C",y.push(l,u);break;case"s":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"Q":y.push(m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"q":y.push(l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="Q",y.push(l,u);break;case"T":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l=m.shift(),u=m.shift(),b="Q",y.push(E,P,l,u);break;case"t":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l+=m.shift(),u+=m.shift(),b="Q",y.push(E,P,l,u);break;case"A":k=m.shift(),O=m.shift(),M=m.shift(),G=m.shift(),U=m.shift(),A=l,N=u,l=m.shift(),u=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,G,U,k,O,M);break;case"a":k=m.shift(),O=m.shift(),M=m.shift(),G=m.shift(),U=m.shift(),A=l,N=u,l+=m.shift(),u+=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,G,U,k,O,M);break}s.push({command:b||g,points:y,start:{x:S,y:C},pathLength:this.calcLength(S,C,b||g,y)})}(g==="z"||g==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=Qn;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,pd.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,pd.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var d=i[4],f=i[5],p=i[4]+f,g=Math.PI/180;if(Math.abs(d-p)<g&&(g=Math.abs(d-p)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],d,0),f<0)for(l=d-g;l>p;l-=g)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=d+g;l<p;l+=g)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],p,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var d=u*(Math.PI/180),f=Math.cos(d)*(t-r)/2+Math.sin(d)*(n-i)/2,p=-1*Math.sin(d)*(t-r)/2+Math.cos(d)*(n-i)/2,g=f*f/(a*a)+p*p/(l*l);g>1&&(a*=Math.sqrt(g),l*=Math.sqrt(g));var m=Math.sqrt((a*a*(l*l)-a*a*(p*p)-l*l*(f*f))/(a*a*(p*p)+l*l*(f*f)));o===s&&(m*=-1),isNaN(m)&&(m=0);var v=m*a*p/l,x=m*-l*f/a,_=(t+r)/2+Math.cos(d)*v-Math.sin(d)*x,b=(n+i)/2+Math.sin(d)*v+Math.cos(d)*x,y=function(O){return Math.sqrt(O[0]*O[0]+O[1]*O[1])},S=function(O,M){return(O[0]*M[0]+O[1]*M[1])/(y(O)*y(M))},C=function(O,M){return(O[0]*M[1]<O[1]*M[0]?-1:1)*Math.acos(S(O,M))},T=C([1,0],[(f-v)/a,(p-x)/l]),E=[(f-v)/a,(p-x)/l],P=[(-1*f-v)/a,(-1*p-x)/l],k=C(E,P);return S(E,P)<=-1&&(k=Math.PI),S(E,P)>=1&&(k=0),s===0&&k>0&&(k=k-2*Math.PI),s===1&&k<0&&(k=k+2*Math.PI),[_,b,a,l,T,k,d,s]}}Hf.Path=Qn;Qn.prototype.className="Path";Qn.prototype._attrsAffectingSize=["data"];(0,h2e._registerNode)(Qn);d2e.Factory.addGetterSetter(Qn,"data");Object.defineProperty(hS,"__esModule",{value:!0});hS.Arrow=void 0;const gS=nt,p2e=Rm,tz=ke,g2e=rt,QO=Hf;class bc extends p2e.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const p=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],g=QO.Path.calcLength(i[i.length-4],i[i.length-3],"C",p),m=QO.Path.getPointOnQuadraticBezier(Math.min(1,1-s/g),p[0],p[1],p[2],p[3],p[4],p[5]);l=r[a-2]-m.x,u=r[a-1]-m.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var d=(Math.atan2(u,l)+n)%n,f=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(d),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}hS.Arrow=bc;bc.prototype.className="Arrow";(0,g2e._registerNode)(bc);gS.Factory.addGetterSetter(bc,"pointerLength",10,(0,tz.getNumberValidator)());gS.Factory.addGetterSetter(bc,"pointerWidth",10,(0,tz.getNumberValidator)());gS.Factory.addGetterSetter(bc,"pointerAtBeginning",!1);gS.Factory.addGetterSetter(bc,"pointerAtEnding",!0);var mS={};Object.defineProperty(mS,"__esModule",{value:!0});mS.Circle=void 0;const m2e=nt,y2e=rr,v2e=ke,_2e=rt;let Wf=class extends y2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};mS.Circle=Wf;Wf.prototype._centroid=!0;Wf.prototype.className="Circle";Wf.prototype._attrsAffectingSize=["radius"];(0,_2e._registerNode)(Wf);m2e.Factory.addGetterSetter(Wf,"radius",0,(0,v2e.getNumberValidator)());var yS={};Object.defineProperty(yS,"__esModule",{value:!0});yS.Ellipse=void 0;const SE=nt,b2e=rr,nz=ke,S2e=rt;class iu extends b2e.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}yS.Ellipse=iu;iu.prototype.className="Ellipse";iu.prototype._centroid=!0;iu.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,S2e._registerNode)(iu);SE.Factory.addComponentsGetterSetter(iu,"radius",["x","y"]);SE.Factory.addGetterSetter(iu,"radiusX",0,(0,nz.getNumberValidator)());SE.Factory.addGetterSetter(iu,"radiusY",0,(0,nz.getNumberValidator)());var vS={};Object.defineProperty(vS,"__esModule",{value:!0});vS.Image=void 0;const Ux=Sn,Sc=nt,w2e=rr,x2e=rt,Om=ke;let Us=class rz extends w2e.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?Ux.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?Ux.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=Ux.Util.createImageElement();i.onload=function(){var o=new rz({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};vS.Image=Us;Us.prototype.className="Image";(0,x2e._registerNode)(Us);Sc.Factory.addGetterSetter(Us,"cornerRadius",0,(0,Om.getNumberOrArrayOfNumbersValidator)(4));Sc.Factory.addGetterSetter(Us,"image");Sc.Factory.addComponentsGetterSetter(Us,"crop",["x","y","width","height"]);Sc.Factory.addGetterSetter(Us,"cropX",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropY",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropWidth",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropHeight",0,(0,Om.getNumberValidator)());var Rf={};Object.defineProperty(Rf,"__esModule",{value:!0});Rf.Tag=Rf.Label=void 0;const _S=nt,C2e=rr,T2e=jf,wE=ke,iz=rt;var oz=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],E2e="Change.konva",A2e="none",l5="up",u5="right",c5="down",d5="left",P2e=oz.length;class xE extends T2e.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<P2e;r++)t.on(oz[r]+E2e,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case l5:a=r/2,l=-1*u;break;case u5:a=r+s,l=i/2;break;case c5:a=r/2,l=i+u;break;case d5:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}Rf.Label=xE;xE.prototype.className="Label";(0,iz._registerNode)(xE);class wc extends C2e.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,d=0,f=0;typeof a=="number"?l=u=d=f=Math.min(a,n/2,r/2):(l=Math.min(a[0]||0,n/2,r/2),u=Math.min(a[1]||0,n/2,r/2),f=Math.min(a[2]||0,n/2,r/2),d=Math.min(a[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===l5&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*s),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===u5&&(t.lineTo(n,(r-s)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+s)/2)),t.lineTo(n,r-f),t.arc(n-f,r-f,f,0,Math.PI/2,!1),i===c5&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+s),t.lineTo((n-o)/2,r)),t.lineTo(d,r),t.arc(d,r-d,d,Math.PI/2,Math.PI,!1),i===d5&&(t.lineTo(0,(r+s)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-s)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),s=this.width(),a=this.height();return o===l5?(n-=i,a+=i):o===c5?a+=i:o===d5?(t-=r*1.5,s+=r):o===u5&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}Rf.Tag=wc;wc.prototype.className="Tag";(0,iz._registerNode)(wc);_S.Factory.addGetterSetter(wc,"pointerDirection",A2e);_S.Factory.addGetterSetter(wc,"pointerWidth",0,(0,wE.getNumberValidator)());_S.Factory.addGetterSetter(wc,"pointerHeight",0,(0,wE.getNumberValidator)());_S.Factory.addGetterSetter(wc,"cornerRadius",0,(0,wE.getNumberOrArrayOfNumbersValidator)(4));var km={};Object.defineProperty(km,"__esModule",{value:!0});km.Rect=void 0;const R2e=nt,O2e=rr,k2e=rt,I2e=Sn,M2e=ke;let bS=class extends O2e.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?I2e.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};km.Rect=bS;bS.prototype.className="Rect";(0,k2e._registerNode)(bS);R2e.Factory.addGetterSetter(bS,"cornerRadius",0,(0,M2e.getNumberOrArrayOfNumbersValidator)(4));var SS={};Object.defineProperty(SS,"__esModule",{value:!0});SS.RegularPolygon=void 0;const sz=nt,N2e=rr,az=ke,L2e=rt;class xc extends N2e.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}SS.RegularPolygon=xc;xc.prototype.className="RegularPolygon";xc.prototype._centroid=!0;xc.prototype._attrsAffectingSize=["radius"];(0,L2e._registerNode)(xc);sz.Factory.addGetterSetter(xc,"radius",0,(0,az.getNumberValidator)());sz.Factory.addGetterSetter(xc,"sides",0,(0,az.getNumberValidator)());var wS={};Object.defineProperty(wS,"__esModule",{value:!0});wS.Ring=void 0;const lz=nt,D2e=rr,uz=ke,$2e=rt;var ZO=Math.PI*2;class Cc extends D2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,ZO,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),ZO,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}wS.Ring=Cc;Cc.prototype.className="Ring";Cc.prototype._centroid=!0;Cc.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,$2e._registerNode)(Cc);lz.Factory.addGetterSetter(Cc,"innerRadius",0,(0,uz.getNumberValidator)());lz.Factory.addGetterSetter(Cc,"outerRadius",0,(0,uz.getNumberValidator)());var xS={};Object.defineProperty(xS,"__esModule",{value:!0});xS.Sprite=void 0;const Tc=nt,F2e=rr,B2e=Gf,cz=ke,U2e=rt;class zs extends F2e.Shape{constructor(t){super(t),this._updated=!0,this.anim=new B2e.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+0],l=o[i+1],u=o[i+2],d=o[i+3],f=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,d),t.closePath(),t.fillStrokeShape(this)),f)if(s){var p=s[n],g=r*2;t.drawImage(f,a,l,u,d,p[g+0],p[g+1],u,d)}else t.drawImage(f,a,l,u,d,0,0,u,d)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+2],l=o[i+3];if(t.beginPath(),s){var u=s[n],d=r*2;t.rect(u[d+0],u[d+1],a,l)}else t.rect(0,0,a,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}xS.Sprite=zs;zs.prototype.className="Sprite";(0,U2e._registerNode)(zs);Tc.Factory.addGetterSetter(zs,"animation");Tc.Factory.addGetterSetter(zs,"animations");Tc.Factory.addGetterSetter(zs,"frameOffsets");Tc.Factory.addGetterSetter(zs,"image");Tc.Factory.addGetterSetter(zs,"frameIndex",0,(0,cz.getNumberValidator)());Tc.Factory.addGetterSetter(zs,"frameRate",17,(0,cz.getNumberValidator)());Tc.Factory.backCompat(zs,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var CS={};Object.defineProperty(CS,"__esModule",{value:!0});CS.Star=void 0;const CE=nt,z2e=rr,TE=ke,V2e=rt;class ou extends z2e.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}CS.Star=ou;ou.prototype.className="Star";ou.prototype._centroid=!0;ou.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,V2e._registerNode)(ou);CE.Factory.addGetterSetter(ou,"numPoints",5,(0,TE.getNumberValidator)());CE.Factory.addGetterSetter(ou,"innerRadius",0,(0,TE.getNumberValidator)());CE.Factory.addGetterSetter(ou,"outerRadius",0,(0,TE.getNumberValidator)());var uc={};Object.defineProperty(uc,"__esModule",{value:!0});uc.Text=uc.stringToArray=void 0;const f5=Sn,di=nt,j2e=rr,su=ke,G2e=rt;function dz(e){return Array.from(e)}uc.stringToArray=dz;var gd="auto",H2e="center",Zh="justify",W2e="Change.konva",q2e="2d",JO="-",fz="left",K2e="text",X2e="Text",Y2e="top",Q2e="bottom",ek="middle",hz="normal",Z2e="px ",D0=" ",J2e="right",ewe="word",twe="char",tk="none",zx="…",pz=["fontFamily","fontSize","fontStyle","fontVariant","padding","align","verticalAlign","lineHeight","text","width","height","wrap","ellipsis","letterSpacing"],nwe=pz.length;function rwe(e){return e.split(",").map(t=>{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var $0;function Vx(){return $0||($0=f5.Util.createCanvasElement().getContext(q2e),$0)}function iwe(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function owe(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function swe(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}class Ln extends j2e.Shape{constructor(t){super(swe(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n<nwe;n++)this.on(pz[n]+W2e,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),d=this.getWidth(),f=this.letterSpacing(),p=this.fill(),g=this.textDecoration(),m=g.indexOf("underline")!==-1,v=g.indexOf("line-through")!==-1,x,_=0,_=s/2,b=0,y=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",ek),t.setAttr("textAlign",fz),a===ek?l=(this.getHeight()-r*s-i*2)/2:a===Q2e&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),x=0;x<r;x++){var b=0,y=0,S=n[x],C=S.text,T=S.width,E=S.lastInParagraph,P,k,O;if(t.save(),u===J2e?b+=d-T-i*2:u===H2e&&(b+=(d-T-i*2)/2),m){t.save(),t.beginPath(),t.moveTo(b,_+y+Math.round(o/2)),P=C.split(" ").length-1,k=P===0,O=u===Zh&&!E?d-i*2:T,t.lineTo(b+Math.round(O),_+y+Math.round(o/2)),t.lineWidth=o/15;const F=this._getLinearGradient();t.strokeStyle=F||p,t.stroke(),t.restore()}if(v){t.save(),t.beginPath(),t.moveTo(b,_+y),P=C.split(" ").length-1,k=P===0,O=u===Zh&&E&&!k?d-i*2:T,t.lineTo(b+Math.round(O),_+y),t.lineWidth=o/15;const F=this._getLinearGradient();t.strokeStyle=F||p,t.stroke(),t.restore()}if(f!==0||u===Zh){P=C.split(" ").length-1;for(var M=dz(C),G=0;G<M.length;G++){var U=M[G];U===" "&&!E&&u===Zh&&(b+=(d-i*2-T)/P),this._partialTextX=b,this._partialTextY=_+y,this._partialText=U,t.fillStrokeShape(this),b+=this.measureSize(U).width+f}}else this._partialTextX=b,this._partialTextY=_+y,this._partialText=C,t.fillStrokeShape(this);t.restore(),r>1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=f5.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(K2e,n),this}getWidth(){var t=this.attrs.width===gd||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===gd||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return f5.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}measureSize(t){var n=Vx(),r=this.fontSize(),i;return n.save(),n.font=this._getContextFont(),i=n.measureText(t),n.restore(),{width:i.width,height:r}}_getContextFont(){return this.fontStyle()+D0+this.fontVariant()+D0+(this.fontSize()+Z2e)+rwe(this.fontFamily())}_addTextLine(t){this.align()===Zh&&(t=t.trim());var r=this._getTextWidth(t);return this.textArr.push({text:t,width:r,lastInParagraph:!1})}_getTextWidth(t){var n=this.letterSpacing(),r=t.length;return Vx().measureText(t).width+(r?n*(r-1):0)}_setTextData(){var t=this.text().split(`
-`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,s=this.attrs.height,a=o!==gd&&o!==void 0,l=s!==gd&&s!==void 0,u=this.padding(),d=o-u*2,f=s-u*2,p=0,g=this.wrap(),m=g!==tk,v=g!==twe&&m,x=this.ellipsis();this.textArr=[],Vx().font=this._getContextFont();for(var _=x?this._getTextWidth(zx):0,b=0,y=t.length;b<y;++b){var S=t[b],C=this._getTextWidth(S);if(a&&C>d)for(;S.length>0;){for(var T=0,E=S.length,P="",k=0;T<E;){var O=T+E>>>1,M=S.slice(0,O+1),G=this._getTextWidth(M)+_;G<=d?(T=O+1,P=M,k=G):E=O}if(P){if(v){var U,A=S[P.length],N=A===D0||A===JO;N&&k<=d?U=P.length:U=Math.max(P.lastIndexOf(D0),P.lastIndexOf(JO))+1,U>0&&(T=U,P=P.slice(0,T),k=this._getTextWidth(P))}P=P.trimRight(),this._addTextLine(P),r=Math.max(r,k),p+=i;var F=this._shouldHandleEllipsis(p);if(F){this._tryToAddEllipsisToLastLine();break}if(S=S.slice(T),S=S.trimLeft(),S.length>0&&(C=this._getTextWidth(S),C<=d)){this._addTextLine(S),p+=i,r=Math.max(r,C);break}}else break}else this._addTextLine(S),p+=i,r=Math.max(r,C),this._shouldHandleEllipsis(p)&&b<y-1&&this._tryToAddEllipsisToLastLine();if(this.textArr[this.textArr.length-1]&&(this.textArr[this.textArr.length-1].lastInParagraph=!0),l&&p+i>f)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==gd&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==tk;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==gd&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),s=this.textArr[this.textArr.length-1];if(!(!s||!o)){if(n){var a=this._getTextWidth(s.text+zx)<i;a||(s.text=s.text.slice(0,s.text.length-3))}this.textArr.splice(this.textArr.length-1,1),this._addTextLine(s.text+zx)}}getStrokeScaleEnabled(){return!0}}uc.Text=Ln;Ln.prototype._fillFunc=iwe;Ln.prototype._strokeFunc=owe;Ln.prototype.className=X2e;Ln.prototype._attrsAffectingSize=["text","fontSize","padding","wrap","lineHeight","letterSpacing"];(0,G2e._registerNode)(Ln);di.Factory.overWriteSetter(Ln,"width",(0,su.getNumberOrAutoValidator)());di.Factory.overWriteSetter(Ln,"height",(0,su.getNumberOrAutoValidator)());di.Factory.addGetterSetter(Ln,"fontFamily","Arial");di.Factory.addGetterSetter(Ln,"fontSize",12,(0,su.getNumberValidator)());di.Factory.addGetterSetter(Ln,"fontStyle",hz);di.Factory.addGetterSetter(Ln,"fontVariant",hz);di.Factory.addGetterSetter(Ln,"padding",0,(0,su.getNumberValidator)());di.Factory.addGetterSetter(Ln,"align",fz);di.Factory.addGetterSetter(Ln,"verticalAlign",Y2e);di.Factory.addGetterSetter(Ln,"lineHeight",1,(0,su.getNumberValidator)());di.Factory.addGetterSetter(Ln,"wrap",ewe);di.Factory.addGetterSetter(Ln,"ellipsis",!1,(0,su.getBooleanValidator)());di.Factory.addGetterSetter(Ln,"letterSpacing",0,(0,su.getNumberValidator)());di.Factory.addGetterSetter(Ln,"text","",(0,su.getStringValidator)());di.Factory.addGetterSetter(Ln,"textDecoration","");var TS={};Object.defineProperty(TS,"__esModule",{value:!0});TS.TextPath=void 0;const jx=Sn,rs=nt,awe=rr,Jh=Hf,Gx=uc,gz=ke,lwe=rt;var uwe="",mz="normal";function yz(e){e.fillText(this.partialText,0,0)}function vz(e){e.strokeText(this.partialText,0,0)}class ir extends awe.Shape{constructor(t){super(t),this.dummyCanvas=jx.Util.createCanvasElement(),this.dataArray=[],this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute(),this._setTextData()}),this.on("textChange.konva alignChange.konva letterSpacingChange.konva kerningFuncChange.konva fontSizeChange.konva fontFamilyChange.konva",this._setTextData),this._setTextData()}_getTextPathLength(){return Jh.Path.getPathLength(this.dataArray)}_getPointAtLength(t){if(!this.attrs.data)return null;const n=this.pathLength;return t-1>n?null:Jh.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=Jh.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var s=0;s<o.length;s++){t.save();var a=o[s].p0;t.translate(a.x,a.y),t.rotate(o[s].rotation),this.partialText=o[s].text,t.fillStrokeShape(this),n==="underline"&&(s===0&&t.moveTo(0,i/2+1),t.lineTo(i,i/2+1)),t.restore()}n==="underline"&&(t.strokeStyle=r,t.lineWidth=i/20,t.stroke()),t.restore()}_hitFunc(t){t.beginPath();var n=this.glyphInfo;if(n.length>=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;i<n.length;i++){var o=n[i].p1;t.lineTo(o.x,o.y)}t.setAttr("lineWidth",this.fontSize()),t.setAttr("strokeStyle",this.colorKey),t.stroke()}getTextWidth(){return this.textWidth}getTextHeight(){return jx.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}setText(t){return Gx.Text.prototype.setText.call(this,t)}_getContextFont(){return Gx.Text.prototype._getContextFont.call(this)}_getTextSize(t){var n=this.dummyCanvas,r=n.getContext("2d");r.save(),r.font=this._getContextFont();var i=r.measureText(t);return r.restore(),{width:i.width,height:parseInt(`${this.fontSize()}`,10)}}_setTextData(){const{width:t,height:n}=this._getTextSize(this.attrs.text);if(this.textWidth=t,this.textHeight=n,this.glyphInfo=[],!this.attrs.data)return null;const r=this.letterSpacing(),i=this.align(),o=this.kerningFunc(),s=Math.max(this.textWidth+((this.attrs.text||"").length-1)*r,0);let a=0;i==="center"&&(a=Math.max(0,this.pathLength/2-s/2)),i==="right"&&(a=Math.max(0,this.pathLength-s));const l=(0,Gx.stringToArray)(this.text());let u=a;for(var d=0;d<l.length;d++){const f=this._getPointAtLength(u);if(!f)return;let p=this._getTextSize(l[d]).width+r;if(l[d]===" "&&i==="justify"){const b=this.text().split(" ").length-1;p+=(this.pathLength-s)/b}const g=this._getPointAtLength(u+p);if(!g)return;const m=Jh.Path.getLineLength(f.x,f.y,g.x,g.y);let v=0;if(o)try{v=o(l[d-1],l[d])*this.fontSize()}catch{v=0}f.x+=v,g.x+=v,this.textWidth+=v;const x=Jh.Path.getPointOnLine(v+m/2,f.x,f.y,g.x,g.y),_=Math.atan2(g.y-f.y,g.x-f.x);this.glyphInfo.push({transposeX:x.x,transposeY:x.y,text:l[d],rotation:_,p0:f,p1:g}),u+=p}}getSelfRect(){if(!this.glyphInfo.length)return{x:0,y:0,width:0,height:0};var t=[];this.glyphInfo.forEach(function(d){t.push(d.p0.x),t.push(d.p0.y),t.push(d.p1.x),t.push(d.p1.y)});for(var n=t[0]||0,r=t[0]||0,i=t[1]||0,o=t[1]||0,s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],n=Math.min(n,s),r=Math.max(r,s),i=Math.min(i,a),o=Math.max(o,a);var u=this.fontSize();return{x:n-u/2,y:i-u/2,width:r-n+u,height:o-i+u}}destroy(){return jx.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}TS.TextPath=ir;ir.prototype._fillFunc=yz;ir.prototype._strokeFunc=vz;ir.prototype._fillFuncHit=yz;ir.prototype._strokeFuncHit=vz;ir.prototype.className="TextPath";ir.prototype._attrsAffectingSize=["text","fontSize","data"];(0,lwe._registerNode)(ir);rs.Factory.addGetterSetter(ir,"data");rs.Factory.addGetterSetter(ir,"fontFamily","Arial");rs.Factory.addGetterSetter(ir,"fontSize",12,(0,gz.getNumberValidator)());rs.Factory.addGetterSetter(ir,"fontStyle",mz);rs.Factory.addGetterSetter(ir,"align","left");rs.Factory.addGetterSetter(ir,"letterSpacing",0,(0,gz.getNumberValidator)());rs.Factory.addGetterSetter(ir,"textBaseline","middle");rs.Factory.addGetterSetter(ir,"fontVariant",mz);rs.Factory.addGetterSetter(ir,"text",uwe);rs.Factory.addGetterSetter(ir,"textDecoration",null);rs.Factory.addGetterSetter(ir,"kerningFunc",null);var ES={};Object.defineProperty(ES,"__esModule",{value:!0});ES.Transformer=void 0;const zt=Sn,Ft=nt,nk=fn,cwe=rr,dwe=km,rk=jf,Do=rt,au=ke,fwe=rt;var _z="tr-konva",hwe=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${_z}`).join(" "),ik="nodesRect",pwe=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],gwe={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const mwe="ontouchstart"in Do.Konva._global;function ywe(e,t){if(e==="rotater")return"crosshair";t+=zt.Util.degToRad(gwe[e]||0);var n=(zt.Util.radToDeg(t)%360+360)%360;return zt.Util._inRange(n,315+22.5,360)||zt.Util._inRange(n,0,22.5)?"ns-resize":zt.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":zt.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":zt.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":zt.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":zt.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":zt.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":zt.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(zt.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var e_=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],ok=1e8;function vwe(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function bz(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function _we(e,t){const n=vwe(e);return bz(e,t,n)}function bwe(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=Do.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class xt extends rk.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(hwe,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return zt.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return _z+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(zt.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(pwe.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(ik),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(ik,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=(Do.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),d={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return bz(d,-Do.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-ok,y:-ok,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const d=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var f=[{x:d.x,y:d.y},{x:d.x+d.width,y:d.y},{x:d.x+d.width,y:d.y+d.height},{x:d.x,y:d.y+d.height}],p=u.getAbsoluteTransform();f.forEach(function(g){var m=p.point(g);n.push(m)})});const r=new zt.Transform;r.rotate(-Do.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var d=r.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:Do.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),e_.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new dwe.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:mwe?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=Do.Konva.getAngle(this.rotation()),o=ywe(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new cwe.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*zt.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const d=o.getAbsolutePosition();if(!(u.x===d.x&&u.y===d.y)){if(this._movingAnchorName==="rotater"){var f=this._getNodeRect();n=o.x()-f.width/2,r=-o.y()+f.height/2;let U=Math.atan2(-r,n)+Math.PI/2;f.height<0&&(U-=Math.PI);var p=Do.Konva.getAngle(this.rotation());const A=p+U,N=Do.Konva.getAngle(this.rotationSnapTolerance()),B=bwe(this.rotationSnaps(),A,N)-f.rotation,D=_we(f,B);this._fitNodesInto(D,t);return}var g=this.shiftBehavior(),m;g==="inverted"?m=this.keepRatio()&&!t.shiftKey:g==="none"?m=this.keepRatio():m=this.keepRatio()||t.shiftKey;var y=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(v.x-o.x(),2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-left").x()>v.x?-1:1,_=this.findOne(".top-left").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-left").x(v.x-n),this.findOne(".top-left").y(v.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-v.x,2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-right").x()<v.x?-1:1,_=this.findOne(".top-right").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-right").x(v.x+n),this.findOne(".top-right").y(v.y-r)}var b=o.position();this.findOne(".top-left").y(b.y),this.findOne(".bottom-right").x(b.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(v.x-o.x(),2)+Math.pow(o.y()-v.y,2));var x=v.x<o.x()?-1:1,_=o.y()<v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,o.x(v.x-n),o.y(v.y+r)}b=o.position(),this.findOne(".top-left").x(b.x),this.findOne(".bottom-right").y(b.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-v.x,2)+Math.pow(o.y()-v.y,2));var x=this.findOne(".bottom-right").x()<v.x?-1:1,_=this.findOne(".bottom-right").y()<v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".bottom-right").x(v.x+n),this.findOne(".bottom-right").y(v.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var y=this.centeredScaling()||t.altKey;if(y){var S=this.findOne(".top-left"),C=this.findOne(".bottom-right"),T=S.x(),E=S.y(),P=this.getWidth()-C.x(),k=this.getHeight()-C.y();C.move({x:-T,y:-E}),S.move({x:P,y:k})}var O=this.findOne(".top-left").getAbsolutePosition();n=O.x,r=O.y;var M=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),G=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:M,height:G,rotation:Do.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(zt.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(zt.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new zt.Transform;if(s.rotate(Do.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const f=s.point({x:-this.padding()*2,y:0});if(t.x+=f.x,t.y+=f.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const f=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const f=s.point({x:0,y:-this.padding()*2});if(t.x+=f.x,t.y+=f.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const f=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const f=this.boundBoxFunc()(r,t);f?t=f:zt.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new zt.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new zt.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const d=u.multiply(l.invert());this._nodes.forEach(f=>{var p;const g=f.getParent().getAbsoluteTransform(),m=f.getTransform().copy();m.translate(f.offsetX(),f.offsetY());const v=new zt.Transform;v.multiply(g.copy().invert()).multiply(d).multiply(g).multiply(m);const x=v.decompose();f.setAttrs(x),this._fire("transform",{evt:n,target:f}),f._fire("transform",{evt:n,target:f}),(p=f.getLayer())===null||p===void 0||p.batchDraw()}),this.rotation(zt.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(zt.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(f=>{f.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*zt.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const d=this.anchorStyleFunc();d&&u.forEach(f=>{d(f)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),rk.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return nk.Node.prototype.toObject.call(this)}clone(t){var n=nk.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}ES.Transformer=xt;function Swe(e){return e instanceof Array||zt.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){e_.indexOf(t)===-1&&zt.Util.warn("Unknown anchor name: "+t+". Available names are: "+e_.join(", "))}),e||[]}xt.prototype.className="Transformer";(0,fwe._registerNode)(xt);Ft.Factory.addGetterSetter(xt,"enabledAnchors",e_,Swe);Ft.Factory.addGetterSetter(xt,"flipEnabled",!0,(0,au.getBooleanValidator)());Ft.Factory.addGetterSetter(xt,"resizeEnabled",!0);Ft.Factory.addGetterSetter(xt,"anchorSize",10,(0,au.getNumberValidator)());Ft.Factory.addGetterSetter(xt,"rotateEnabled",!0);Ft.Factory.addGetterSetter(xt,"rotationSnaps",[]);Ft.Factory.addGetterSetter(xt,"rotateAnchorOffset",50,(0,au.getNumberValidator)());Ft.Factory.addGetterSetter(xt,"rotationSnapTolerance",5,(0,au.getNumberValidator)());Ft.Factory.addGetterSetter(xt,"borderEnabled",!0);Ft.Factory.addGetterSetter(xt,"anchorStroke","rgb(0, 161, 255)");Ft.Factory.addGetterSetter(xt,"anchorStrokeWidth",1,(0,au.getNumberValidator)());Ft.Factory.addGetterSetter(xt,"anchorFill","white");Ft.Factory.addGetterSetter(xt,"anchorCornerRadius",0,(0,au.getNumberValidator)());Ft.Factory.addGetterSetter(xt,"borderStroke","rgb(0, 161, 255)");Ft.Factory.addGetterSetter(xt,"borderStrokeWidth",1,(0,au.getNumberValidator)());Ft.Factory.addGetterSetter(xt,"borderDash");Ft.Factory.addGetterSetter(xt,"keepRatio",!0);Ft.Factory.addGetterSetter(xt,"shiftBehavior","default");Ft.Factory.addGetterSetter(xt,"centeredScaling",!1);Ft.Factory.addGetterSetter(xt,"ignoreStroke",!1);Ft.Factory.addGetterSetter(xt,"padding",0,(0,au.getNumberValidator)());Ft.Factory.addGetterSetter(xt,"node");Ft.Factory.addGetterSetter(xt,"nodes");Ft.Factory.addGetterSetter(xt,"boundBoxFunc");Ft.Factory.addGetterSetter(xt,"anchorDragBoundFunc");Ft.Factory.addGetterSetter(xt,"anchorStyleFunc");Ft.Factory.addGetterSetter(xt,"shouldOverdrawWholeArea",!1);Ft.Factory.addGetterSetter(xt,"useSingleNodeRotation",!0);Ft.Factory.backCompat(xt,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var AS={};Object.defineProperty(AS,"__esModule",{value:!0});AS.Wedge=void 0;const PS=nt,wwe=rr,xwe=rt,Sz=ke,Cwe=rt;class Ua extends wwe.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,xwe.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}AS.Wedge=Ua;Ua.prototype.className="Wedge";Ua.prototype._centroid=!0;Ua.prototype._attrsAffectingSize=["radius"];(0,Cwe._registerNode)(Ua);PS.Factory.addGetterSetter(Ua,"radius",0,(0,Sz.getNumberValidator)());PS.Factory.addGetterSetter(Ua,"angle",0,(0,Sz.getNumberValidator)());PS.Factory.addGetterSetter(Ua,"clockwise",!1);PS.Factory.backCompat(Ua,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var RS={};Object.defineProperty(RS,"__esModule",{value:!0});RS.Blur=void 0;const sk=nt,Twe=fn,Ewe=ke;function ak(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var Awe=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],Pwe=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function Rwe(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,d,f,p,g,m,v,x,_,b,y,S,C,T,E,P,k,O,M,G,U=t+t+1,A=r-1,N=i-1,F=t+1,B=F*(F+1)/2,D=new ak,V=null,j=D,q=null,Z=null,ee=Awe[t],ie=Pwe[t];for(a=1;a<U;a++)j=j.next=new ak,a===F&&(V=j);for(j.next=D,f=d=0,s=0;s<i;s++){for(S=C=T=E=p=g=m=v=0,x=F*(P=n[d]),_=F*(k=n[d+1]),b=F*(O=n[d+2]),y=F*(M=n[d+3]),p+=B*P,g+=B*k,m+=B*O,v+=B*M,j=D,a=0;a<F;a++)j.r=P,j.g=k,j.b=O,j.a=M,j=j.next;for(a=1;a<F;a++)l=d+((A<a?A:a)<<2),p+=(j.r=P=n[l])*(G=F-a),g+=(j.g=k=n[l+1])*G,m+=(j.b=O=n[l+2])*G,v+=(j.a=M=n[l+3])*G,S+=P,C+=k,T+=O,E+=M,j=j.next;for(q=D,Z=V,o=0;o<r;o++)n[d+3]=M=v*ee>>ie,M!==0?(M=255/M,n[d]=(p*ee>>ie)*M,n[d+1]=(g*ee>>ie)*M,n[d+2]=(m*ee>>ie)*M):n[d]=n[d+1]=n[d+2]=0,p-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=f+((l=o+t+1)<A?l:A)<<2,S+=q.r=n[l],C+=q.g=n[l+1],T+=q.b=n[l+2],E+=q.a=n[l+3],p+=S,g+=C,m+=T,v+=E,q=q.next,x+=P=Z.r,_+=k=Z.g,b+=O=Z.b,y+=M=Z.a,S-=P,C-=k,T-=O,E-=M,Z=Z.next,d+=4;f+=r}for(o=0;o<r;o++){for(C=T=E=S=g=m=v=p=0,d=o<<2,x=F*(P=n[d]),_=F*(k=n[d+1]),b=F*(O=n[d+2]),y=F*(M=n[d+3]),p+=B*P,g+=B*k,m+=B*O,v+=B*M,j=D,a=0;a<F;a++)j.r=P,j.g=k,j.b=O,j.a=M,j=j.next;for(u=r,a=1;a<=t;a++)d=u+o<<2,p+=(j.r=P=n[d])*(G=F-a),g+=(j.g=k=n[d+1])*G,m+=(j.b=O=n[d+2])*G,v+=(j.a=M=n[d+3])*G,S+=P,C+=k,T+=O,E+=M,j=j.next,a<N&&(u+=r);for(d=o,q=D,Z=V,s=0;s<i;s++)l=d<<2,n[l+3]=M=v*ee>>ie,M>0?(M=255/M,n[l]=(p*ee>>ie)*M,n[l+1]=(g*ee>>ie)*M,n[l+2]=(m*ee>>ie)*M):n[l]=n[l+1]=n[l+2]=0,p-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=o+((l=s+F)<N?l:N)*r<<2,p+=S+=q.r=n[l],g+=C+=q.g=n[l+1],m+=T+=q.b=n[l+2],v+=E+=q.a=n[l+3],q=q.next,x+=P=Z.r,_+=k=Z.g,b+=O=Z.b,y+=M=Z.a,S-=P,C-=k,T-=O,E-=M,Z=Z.next,d+=r}}const Owe=function(t){var n=Math.round(this.blurRadius());n>0&&Rwe(t,n)};RS.Blur=Owe;sk.Factory.addGetterSetter(Twe.Node,"blurRadius",0,(0,Ewe.getNumberValidator)(),sk.Factory.afterSetFilter);var OS={};Object.defineProperty(OS,"__esModule",{value:!0});OS.Brighten=void 0;const lk=nt,kwe=fn,Iwe=ke,Mwe=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};OS.Brighten=Mwe;lk.Factory.addGetterSetter(kwe.Node,"brightness",0,(0,Iwe.getNumberValidator)(),lk.Factory.afterSetFilter);var kS={};Object.defineProperty(kS,"__esModule",{value:!0});kS.Contrast=void 0;const uk=nt,Nwe=fn,Lwe=ke,Dwe=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};kS.Contrast=Dwe;uk.Factory.addGetterSetter(Nwe.Node,"contrast",0,(0,Lwe.getNumberValidator)(),uk.Factory.afterSetFilter);var IS={};Object.defineProperty(IS,"__esModule",{value:!0});IS.Emboss=void 0;const Wl=nt,MS=fn,$we=Sn,wz=ke,Fwe=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,d=l*4,f=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:$we.Util.error("Unknown emboss direction: "+r)}do{var p=(f-1)*d,g=o;f+g<1&&(g=0),f+g>u&&(g=0);var m=(f-1+g)*l*4,v=l;do{var x=p+(v-1)*4,_=s;v+_<1&&(_=0),v+_>l&&(_=0);var b=m+(v-1+_)*4,y=a[x]-a[b],S=a[x+1]-a[b+1],C=a[x+2]-a[b+2],T=y,E=T>0?T:-T,P=S>0?S:-S,k=C>0?C:-C;if(P>E&&(T=S),k>E&&(T=C),T*=t,i){var O=a[x]+T,M=a[x+1]+T,G=a[x+2]+T;a[x]=O>255?255:O<0?0:O,a[x+1]=M>255?255:M<0?0:M,a[x+2]=G>255?255:G<0?0:G}else{var U=n-T;U<0?U=0:U>255&&(U=255),a[x]=a[x+1]=a[x+2]=U}}while(--v)}while(--f)};IS.Emboss=Fwe;Wl.Factory.addGetterSetter(MS.Node,"embossStrength",.5,(0,wz.getNumberValidator)(),Wl.Factory.afterSetFilter);Wl.Factory.addGetterSetter(MS.Node,"embossWhiteLevel",.5,(0,wz.getNumberValidator)(),Wl.Factory.afterSetFilter);Wl.Factory.addGetterSetter(MS.Node,"embossDirection","top-left",null,Wl.Factory.afterSetFilter);Wl.Factory.addGetterSetter(MS.Node,"embossBlend",!1,null,Wl.Factory.afterSetFilter);var NS={};Object.defineProperty(NS,"__esModule",{value:!0});NS.Enhance=void 0;const ck=nt,Bwe=fn,Uwe=ke;function Hx(e,t,n,r,i){var o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const zwe=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],d=u,f,p,g=this.enhance();if(g!==0){for(p=0;p<n;p+=4)o=t[p+0],o<r?r=o:o>i&&(i=o),l=t[p+1],l<s?s=l:l>a&&(a=l),f=t[p+2],f<u?u=f:f>d&&(d=f);i===r&&(i=255,r=0),a===s&&(a=255,s=0),d===u&&(d=255,u=0);var m,v,x,_,b,y,S,C,T;for(g>0?(v=i+g*(255-i),x=r-g*(r-0),b=a+g*(255-a),y=s-g*(s-0),C=d+g*(255-d),T=u-g*(u-0)):(m=(i+r)*.5,v=i+g*(i-m),x=r+g*(r-m),_=(a+s)*.5,b=a+g*(a-_),y=s+g*(s-_),S=(d+u)*.5,C=d+g*(d-S),T=u+g*(u-S)),p=0;p<n;p+=4)t[p+0]=Hx(t[p+0],r,i,x,v),t[p+1]=Hx(t[p+1],s,a,y,b),t[p+2]=Hx(t[p+2],u,d,T,C)}};NS.Enhance=zwe;ck.Factory.addGetterSetter(Bwe.Node,"enhance",0,(0,Uwe.getNumberValidator)(),ck.Factory.afterSetFilter);var LS={};Object.defineProperty(LS,"__esModule",{value:!0});LS.Grayscale=void 0;const Vwe=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};LS.Grayscale=Vwe;var DS={};Object.defineProperty(DS,"__esModule",{value:!0});DS.HSL=void 0;const Of=nt,EE=fn,AE=ke;Of.Factory.addGetterSetter(EE.Node,"hue",0,(0,AE.getNumberValidator)(),Of.Factory.afterSetFilter);Of.Factory.addGetterSetter(EE.Node,"saturation",0,(0,AE.getNumberValidator)(),Of.Factory.afterSetFilter);Of.Factory.addGetterSetter(EE.Node,"luminance",0,(0,AE.getNumberValidator)(),Of.Factory.afterSetFilter);const jwe=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s=this.luminance()*127,a,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),d=.299*r+.701*l+.167*u,f=.587*r-.587*l+.33*u,p=.114*r-.114*l-.497*u,g=.299*r-.299*l-.328*u,m=.587*r+.413*l+.035*u,v=.114*r-.114*l+.293*u,x=.299*r-.3*l+1.25*u,_=.587*r-.586*l-1.05*u,b=.114*r+.886*l-.2*u,y,S,C,T;for(a=0;a<n;a+=4)y=t[a+0],S=t[a+1],C=t[a+2],T=t[a+3],t[a+0]=d*y+f*S+p*C+s,t[a+1]=g*y+m*S+v*C+s,t[a+2]=x*y+_*S+b*C+s,t[a+3]=T};DS.HSL=jwe;var $S={};Object.defineProperty($S,"__esModule",{value:!0});$S.HSV=void 0;const kf=nt,PE=fn,RE=ke,Gwe=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,d=.587*r-.587*a+.33*l,f=.114*r-.114*a-.497*l,p=.299*r-.299*a-.328*l,g=.587*r+.413*a+.035*l,m=.114*r-.114*a+.293*l,v=.299*r-.3*a+1.25*l,x=.587*r-.586*a-1.05*l,_=.114*r+.886*a-.2*l,b,y,S,C;for(s=0;s<n;s+=4)b=t[s+0],y=t[s+1],S=t[s+2],C=t[s+3],t[s+0]=u*b+d*y+f*S,t[s+1]=p*b+g*y+m*S,t[s+2]=v*b+x*y+_*S,t[s+3]=C};$S.HSV=Gwe;kf.Factory.addGetterSetter(PE.Node,"hue",0,(0,RE.getNumberValidator)(),kf.Factory.afterSetFilter);kf.Factory.addGetterSetter(PE.Node,"saturation",0,(0,RE.getNumberValidator)(),kf.Factory.afterSetFilter);kf.Factory.addGetterSetter(PE.Node,"value",0,(0,RE.getNumberValidator)(),kf.Factory.afterSetFilter);var FS={};Object.defineProperty(FS,"__esModule",{value:!0});FS.Invert=void 0;const Hwe=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};FS.Invert=Hwe;var BS={};Object.defineProperty(BS,"__esModule",{value:!0});BS.Kaleidoscope=void 0;const t_=nt,xz=fn,dk=Sn,Cz=ke;var Wwe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,d,f,p=0,g=0,m=0,v=0,x,_=Math.sqrt(a*a+l*l);d=o-a,f=s-l,x=Math.sqrt(d*d+f*f),_=x>_?x:_;var b=s,y=o,S,C,T=360/y*Math.PI/180,E,P;for(C=0;C<y;C+=1)for(E=Math.sin(C*T),P=Math.cos(C*T),S=0;S<b;S+=1)d=Math.floor(a+_*S/b*P),f=Math.floor(l+_*S/b*E),u=(f*o+d)*4,p=r[u+0],g=r[u+1],m=r[u+2],v=r[u+3],u=(C+S*o)*4,i[u+0]=p,i[u+1]=g,i[u+2]=m,i[u+3]=v},qwe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,d,f,p,g,m=0,v=0,x=0,_=0,b,y=Math.sqrt(a*a+l*l);d=o-a,f=s-l,b=Math.sqrt(d*d+f*f),y=b>y?b:y;var S=s,C=o,T,E,P=n.polarRotation||0,k,O;for(d=0;d<o;d+=1)for(f=0;f<s;f+=1)p=d-a,g=f-l,T=Math.sqrt(p*p+g*g)*S/y,E=(Math.atan2(g,p)*180/Math.PI+360+P)%360,E=E*C/360,k=Math.floor(E),O=Math.floor(T),u=(O*o+k)*4,m=r[u+0],v=r[u+1],x=r[u+2],_=r[u+3],u=(f*o+d)*4,i[u+0]=m,i[u+1]=v,i[u+2]=x,i[u+3]=_};const Kwe=function(e){var t=e.width,n=e.height,r,i,o,s,a,l,u,d,f,p,g=Math.round(this.kaleidoscopePower()),m=Math.round(this.kaleidoscopeAngle()),v=Math.floor(t*(m%360)/360);if(!(g<1)){var x=dk.Util.createCanvasElement();x.width=t,x.height=n;var _=x.getContext("2d").getImageData(0,0,t,n);dk.Util.releaseCanvas(x),Wwe(e,_,{polarCenterX:t/2,polarCenterY:n/2});for(var b=t/Math.pow(2,g);b<=8;)b=b*2,g-=1;b=Math.ceil(b);var y=b,S=0,C=y,T=1;for(v+b>t&&(S=y,C=0,T=-1),i=0;i<n;i+=1)for(r=S;r!==C;r+=T)o=Math.round(r+v)%t,f=(t*i+o)*4,a=_.data[f+0],l=_.data[f+1],u=_.data[f+2],d=_.data[f+3],p=(t*i+r)*4,_.data[p+0]=a,_.data[p+1]=l,_.data[p+2]=u,_.data[p+3]=d;for(i=0;i<n;i+=1)for(y=Math.floor(b),s=0;s<g;s+=1){for(r=0;r<y+1;r+=1)f=(t*i+r)*4,a=_.data[f+0],l=_.data[f+1],u=_.data[f+2],d=_.data[f+3],p=(t*i+y*2-r-1)*4,_.data[p+0]=a,_.data[p+1]=l,_.data[p+2]=u,_.data[p+3]=d;y*=2}qwe(_,e,{polarRotation:0})}};BS.Kaleidoscope=Kwe;t_.Factory.addGetterSetter(xz.Node,"kaleidoscopePower",2,(0,Cz.getNumberValidator)(),t_.Factory.afterSetFilter);t_.Factory.addGetterSetter(xz.Node,"kaleidoscopeAngle",0,(0,Cz.getNumberValidator)(),t_.Factory.afterSetFilter);var US={};Object.defineProperty(US,"__esModule",{value:!0});US.Mask=void 0;const fk=nt,Xwe=fn,Ywe=ke;function F0(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function ep(e,t){return Math.sqrt(Math.pow(e[0]-t[0],2)+Math.pow(e[1]-t[1],2)+Math.pow(e[2]-t[2],2))}function Qwe(e){for(var t=[0,0,0],n=0;n<e.length;n++)t[0]+=e[n][0],t[1]+=e[n][1],t[2]+=e[n][2];return t[0]/=e.length,t[1]/=e.length,t[2]/=e.length,t}function Zwe(e,t){var n=F0(e,0,0),r=F0(e,e.width-1,0),i=F0(e,0,e.height-1),o=F0(e,e.width-1,e.height-1),s=t||10;if(ep(n,r)<s&&ep(r,o)<s&&ep(o,i)<s&&ep(i,n)<s){for(var a=Qwe([r,n,o,i]),l=[],u=0;u<e.width*e.height;u++){var d=ep(a,[e.data[u*4],e.data[u*4+1],e.data[u*4+2]]);l[u]=d<s?0:255}return l}}function Jwe(e,t){for(var n=0;n<e.width*e.height;n++)e.data[4*n+3]=t[n]}function exe(e,t,n){for(var r=[1,1,1,1,0,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d===255*8?255:0}return s}function txe(e,t,n){for(var r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d>=255*4?255:0}return s}function nxe(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d}return s}const rxe=function(e){var t=this.threshold(),n=Zwe(e,t);return n&&(n=exe(n,e.width,e.height),n=txe(n,e.width,e.height),n=nxe(n,e.width,e.height),Jwe(e,n)),e};US.Mask=rxe;fk.Factory.addGetterSetter(Xwe.Node,"threshold",0,(0,Ywe.getNumberValidator)(),fk.Factory.afterSetFilter);var zS={};Object.defineProperty(zS,"__esModule",{value:!0});zS.Noise=void 0;const hk=nt,ixe=fn,oxe=ke,sxe=function(e){var t=this.noise()*255,n=e.data,r=n.length,i=t/2,o;for(o=0;o<r;o+=4)n[o+0]+=i-2*i*Math.random(),n[o+1]+=i-2*i*Math.random(),n[o+2]+=i-2*i*Math.random()};zS.Noise=sxe;hk.Factory.addGetterSetter(ixe.Node,"noise",.2,(0,oxe.getNumberValidator)(),hk.Factory.afterSetFilter);var VS={};Object.defineProperty(VS,"__esModule",{value:!0});VS.Pixelate=void 0;const pk=nt,axe=Sn,lxe=fn,uxe=ke,cxe=function(e){var t=Math.ceil(this.pixelSize()),n=e.width,r=e.height,i,o,s,a,l,u,d,f=Math.ceil(n/t),p=Math.ceil(r/t),g,m,v,x,_,b,y,S=e.data;if(t<=0){axe.Util.error("pixelSize value can not be <= 0");return}for(_=0;_<f;_+=1)for(b=0;b<p;b+=1){for(a=0,l=0,u=0,d=0,g=_*t,m=g+t,v=b*t,x=v+t,y=0,i=g;i<m;i+=1)if(!(i>=n))for(o=v;o<x;o+=1)o>=r||(s=(n*o+i)*4,a+=S[s+0],l+=S[s+1],u+=S[s+2],d+=S[s+3],y+=1);for(a=a/y,l=l/y,u=u/y,d=d/y,i=g;i<m;i+=1)if(!(i>=n))for(o=v;o<x;o+=1)o>=r||(s=(n*o+i)*4,S[s+0]=a,S[s+1]=l,S[s+2]=u,S[s+3]=d)}};VS.Pixelate=cxe;pk.Factory.addGetterSetter(lxe.Node,"pixelSize",8,(0,uxe.getNumberValidator)(),pk.Factory.afterSetFilter);var jS={};Object.defineProperty(jS,"__esModule",{value:!0});jS.Posterize=void 0;const gk=nt,dxe=fn,fxe=ke,hxe=function(e){var t=Math.round(this.levels()*254)+1,n=e.data,r=n.length,i=255/t,o;for(o=0;o<r;o+=1)n[o]=Math.floor(n[o]/i)*i};jS.Posterize=hxe;gk.Factory.addGetterSetter(dxe.Node,"levels",.5,(0,fxe.getNumberValidator)(),gk.Factory.afterSetFilter);var GS={};Object.defineProperty(GS,"__esModule",{value:!0});GS.RGB=void 0;const n_=nt,OE=fn,pxe=ke,gxe=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s,a;for(s=0;s<n;s+=4)a=(.34*t[s]+.5*t[s+1]+.16*t[s+2])/255,t[s]=a*r,t[s+1]=a*i,t[s+2]=a*o,t[s+3]=t[s+3]};GS.RGB=gxe;n_.Factory.addGetterSetter(OE.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});n_.Factory.addGetterSetter(OE.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});n_.Factory.addGetterSetter(OE.Node,"blue",0,pxe.RGBComponent,n_.Factory.afterSetFilter);var HS={};Object.defineProperty(HS,"__esModule",{value:!0});HS.RGBA=void 0;const Dg=nt,WS=fn,mxe=ke,yxe=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a<n;a+=4)l=1-s,t[a]=r*s+t[a]*l,t[a+1]=i*s+t[a+1]*l,t[a+2]=o*s+t[a+2]*l};HS.RGBA=yxe;Dg.Factory.addGetterSetter(WS.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Dg.Factory.addGetterSetter(WS.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Dg.Factory.addGetterSetter(WS.Node,"blue",0,mxe.RGBComponent,Dg.Factory.afterSetFilter);Dg.Factory.addGetterSetter(WS.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var qS={};Object.defineProperty(qS,"__esModule",{value:!0});qS.Sepia=void 0;const vxe=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r<n;r+=4)i=t[r+0],o=t[r+1],s=t[r+2],t[r+0]=Math.min(255,i*.393+o*.769+s*.189),t[r+1]=Math.min(255,i*.349+o*.686+s*.168),t[r+2]=Math.min(255,i*.272+o*.534+s*.131)};qS.Sepia=vxe;var KS={};Object.defineProperty(KS,"__esModule",{value:!0});KS.Solarize=void 0;const _xe=function(e){var t=e.data,n=e.width,r=e.height,i=n*4,o=r;do{var s=(o-1)*i,a=n;do{var l=s+(a-1)*4,u=t[l],d=t[l+1],f=t[l+2];u>127&&(u=255-u),d>127&&(d=255-d),f>127&&(f=255-f),t[l]=u,t[l+1]=d,t[l+2]=f}while(--a)}while(--o)};KS.Solarize=_xe;var XS={};Object.defineProperty(XS,"__esModule",{value:!0});XS.Threshold=void 0;const mk=nt,bxe=fn,Sxe=ke,wxe=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=1)n[i]=n[i]<t?0:255};XS.Threshold=wxe;mk.Factory.addGetterSetter(bxe.Node,"threshold",.5,(0,Sxe.getNumberValidator)(),mk.Factory.afterSetFilter);Object.defineProperty(iS,"__esModule",{value:!0});iS.Konva=void 0;const yk=GU,xxe=cS,Cxe=hS,Txe=mS,Exe=yS,Axe=vS,vk=Rf,Pxe=Rm,Rxe=Hf,Oxe=km,kxe=SS,Ixe=wS,Mxe=xS,Nxe=CS,Lxe=uc,Dxe=TS,$xe=ES,Fxe=AS,Bxe=RS,Uxe=OS,zxe=kS,Vxe=IS,jxe=NS,Gxe=LS,Hxe=DS,Wxe=$S,qxe=FS,Kxe=BS,Xxe=US,Yxe=zS,Qxe=VS,Zxe=jS,Jxe=GS,eCe=HS,tCe=qS,nCe=KS,rCe=XS;iS.Konva=yk.Konva.Util._assign(yk.Konva,{Arc:xxe.Arc,Arrow:Cxe.Arrow,Circle:Txe.Circle,Ellipse:Exe.Ellipse,Image:Axe.Image,Label:vk.Label,Tag:vk.Tag,Line:Pxe.Line,Path:Rxe.Path,Rect:Oxe.Rect,RegularPolygon:kxe.RegularPolygon,Ring:Ixe.Ring,Sprite:Mxe.Sprite,Star:Nxe.Star,Text:Lxe.Text,TextPath:Dxe.TextPath,Transformer:$xe.Transformer,Wedge:Fxe.Wedge,Filters:{Blur:Bxe.Blur,Brighten:Uxe.Brighten,Contrast:zxe.Contrast,Emboss:Vxe.Emboss,Enhance:jxe.Enhance,Grayscale:Gxe.Grayscale,HSL:Hxe.HSL,HSV:Wxe.HSV,Invert:qxe.Invert,Kaleidoscope:Kxe.Kaleidoscope,Mask:Xxe.Mask,Noise:Yxe.Noise,Pixelate:Qxe.Pixelate,Posterize:Zxe.Posterize,RGB:Jxe.RGB,RGBA:eCe.RGBA,Sepia:tCe.Sepia,Solarize:nCe.Solarize,Threshold:rCe.Threshold}});var 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m=d?u:La.shouldUseCpuNoise,v=i.model_type==="onnx",x=v?rS:Or,_=v?"onnx_model_loader":"main_model_loader",b=v?{type:"t2l_onnx",id:cr,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"t2l",id:cr,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a},y={id:gE,nodes:{[vt]:{type:v?"prompt_onnx":"compel",id:vt,is_intermediate:!0,prompt:n},[Pt]:{type:v?"prompt_onnx":"compel",id:Pt,is_intermediate:!0,prompt:r},[mt]:{type:"noise",id:mt,is_intermediate:!0,width:f,height:p,use_cpu:m},[b.id]:b,[x]:{type:_,id:x,is_intermediate:!0,model:i},[qt]:{type:"clip_skip",id:qt,is_intermediate:!0,skipped_layers:l},[Rt]:{type:v?"l2i_onnx":"l2i",id:Rt,is_intermediate:!g}},edges:[{source:{node_id:Pt,field:"conditioning"},destination:{node_id:cr,field:"negative_conditioning"}},{source:{node_id:vt,field:"conditioning"},destination:{node_id:cr,field:"positive_conditioning"}},{source:{node_id:x,field:"clip"},destination:{node_id:qt,field:"clip"}},{source:{node_id:qt,field:"clip"},destination:{node_id:vt,field:"clip"}},{source:{node_id:qt,field:"clip"},destination:{node_id:Pt,field:"clip"}},{source:{node_id:x,field:"unet"},destination:{node_id:cr,field:"unet"}},{source:{node_id:cr,field:"latents"},destination:{node_id:Rt,field:"latents"}},{source:{node_id:mt,field:"noise"},destination:{node_id:cr,field:"noise"}}]};return y.nodes[It]={id:It,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,height:p,width:f,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:m?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:l},y.edges.push({source:{node_id:It,field:"metadata"},destination:{node_id:Rt,field:"metadata"}}),Im(e,y,cr,x),Mm(e,y,x),qf(e,y),YS(e,y,cr),e.system.shouldUseNSFWChecker&&Ec(e,y),e.system.shouldUseWatermarker&&Ac(e,y),y},yCe=(e,t,n,r)=>{let i;if(t==="txt2img")i=mCe(e);else if(t==="img2img"){if(!n)throw new Error("Missing canvas init image");i=pCe(e,n)}else{if(!n||!r)throw new Error("Missing canvas init and mask images");i=gCe(e,n,r)}return i},vCe=()=>{Pe({predicate:e=>Em.match(e)&&e.payload==="unifiedCanvas",effect:async(e,{getState:t,dispatch:n,take:r})=>{const i=Ie("session"),o=t(),{layerState:s,boundingBoxCoordinates:a,boundingBoxDimensions:l,isMaskEnabled:u,shouldPreserveMaskedArea:d}=o.canvas,f=await uCe(s,a,l,u,d);if(!f){i.error("Unable 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d3e={websocket:l3e,webtransport:c3e,polling:s3e},f3e=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,h3e=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function p5(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=f3e.exec(e||""),o={},s=14;for(;s--;)o[h3e[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=p3e(o,o.path),o.queryKey=g3e(o,o.query),o}function p3e(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function g3e(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let Bz=class Sd extends Gn{constructor(t,n={}){super(),this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=p5(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=p5(n.host).host),QS(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=e3e(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=Mz,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new d3e[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Sd.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;Sd.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",f=>{if(!r)if(f.type==="pong"&&f.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;Sd.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(d(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const p=new Error("probe error");p.transport=n.name,this.emitReserved("upgradeError",p)}}))};function o(){r||(r=!0,d(),n.close(),n=null)}const s=f=>{const p=new Error("probe error: "+f);p.transport=n.name,o(),this.emitReserved("upgradeError",p)};function a(){s("transport closed")}function l(){s("socket closed")}function u(f){n&&f.name!==n.name&&o()}const d=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",Sd.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=QCe(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){Sd.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};Bz.protocol=Mz;function m3e(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=p5(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const y3e=typeof ArrayBuffer=="function",v3e=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,Uz=Object.prototype.toString,_3e=typeof Blob=="function"||typeof Blob<"u"&&Uz.call(Blob)==="[object BlobConstructor]",b3e=typeof File=="function"||typeof File<"u"&&Uz.call(File)==="[object FileConstructor]";function LE(e){return y3e&&(e instanceof ArrayBuffer||v3e(e))||_3e&&e instanceof Blob||b3e&&e instanceof File}function xv(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(xv(e[n]))return!0;return!1}if(LE(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return xv(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&xv(e[n]))return!0;return!1}function S3e(e){const t=[],n=e.data,r=e;return r.data=g5(n,t),r.attachments=t.length,{packet:r,buffers:t}}function g5(e,t){if(!e)return e;if(LE(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=g5(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=g5(e[r],t));return n}return e}function w3e(e,t){return e.data=m5(e.data,t),delete e.attachments,e}function m5(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=m5(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=m5(e[n],t));return e}const x3e=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],C3e=5;var pt;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(pt||(pt={}));class T3e{constructor(t){this.replacer=t}encode(t){return(t.type===pt.EVENT||t.type===pt.ACK)&&xv(t)?this.encodeAsBinary({type:t.type===pt.EVENT?pt.BINARY_EVENT:pt.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===pt.BINARY_EVENT||t.type===pt.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=S3e(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function Ok(e){return Object.prototype.toString.call(e)==="[object Object]"}class DE extends Gn{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===pt.BINARY_EVENT;r||n.type===pt.BINARY_ACK?(n.type=r?pt.EVENT:pt.ACK,this.reconstructor=new E3e(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(LE(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(pt[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===pt.BINARY_EVENT||r.type===pt.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(DE.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case pt.CONNECT:return Ok(n);case pt.DISCONNECT:return n===void 0;case pt.CONNECT_ERROR:return typeof n=="string"||Ok(n);case pt.EVENT:case pt.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&x3e.indexOf(n[0])===-1);case pt.ACK:case pt.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class E3e{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=w3e(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const A3e=Object.freeze(Object.defineProperty({__proto__:null,Decoder:DE,Encoder:T3e,get PacketType(){return pt},protocol:C3e},Symbol.toStringTag,{value:"Module"}));function Uo(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const P3e=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class zz extends Gn{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[Uo(t,"open",this.onopen.bind(this)),Uo(t,"packet",this.onpacket.bind(this)),Uo(t,"error",this.onerror.bind(this)),Uo(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(P3e.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:pt.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:pt.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case pt.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case pt.EVENT:case pt.BINARY_EVENT:this.onevent(t);break;case pt.ACK:case pt.BINARY_ACK:this.onack(t);break;case pt.DISCONNECT:this.ondisconnect();break;case pt.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:pt.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:pt.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const n=this._anyOutgoingListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const n=this._anyOutgoingListeners.slice();for(const r of n)r.apply(this,t.data)}}}function Kf(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}Kf.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),n=Math.floor(t*this.jitter*e);e=Math.floor(t*10)&1?e+n:e-n}return Math.min(e,this.max)|0};Kf.prototype.reset=function(){this.attempts=0};Kf.prototype.setMin=function(e){this.ms=e};Kf.prototype.setMax=function(e){this.max=e};Kf.prototype.setJitter=function(e){this.jitter=e};class y5 extends Gn{constructor(t,n){var r;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(n=t,t=void 0),n=n||{},n.path=n.path||"/socket.io",this.opts=n,QS(this,n),this.reconnection(n.reconnection!==!1),this.reconnectionAttempts(n.reconnectionAttempts||1/0),this.reconnectionDelay(n.reconnectionDelay||1e3),this.reconnectionDelayMax(n.reconnectionDelayMax||5e3),this.randomizationFactor((r=n.randomizationFactor)!==null&&r!==void 0?r:.5),this.backoff=new Kf({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(n.timeout==null?2e4:n.timeout),this._readyState="closed",this.uri=t;const i=n.parser||A3e;this.encoder=new i.Encoder,this.decoder=new i.Decoder,this._autoConnect=n.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var n;return t===void 0?this._reconnectionDelay:(this._reconnectionDelay=t,(n=this.backoff)===null||n===void 0||n.setMin(t),this)}randomizationFactor(t){var n;return t===void 0?this._randomizationFactor:(this._randomizationFactor=t,(n=this.backoff)===null||n===void 0||n.setJitter(t),this)}reconnectionDelayMax(t){var n;return t===void 0?this._reconnectionDelayMax:(this._reconnectionDelayMax=t,(n=this.backoff)===null||n===void 0||n.setMax(t),this)}timeout(t){return arguments.length?(this._timeout=t,this):this._timeout}maybeReconnectOnOpen(){!this._reconnecting&&this._reconnection&&this.backoff.attempts===0&&this.reconnect()}open(t){if(~this._readyState.indexOf("open"))return this;this.engine=new Bz(this.uri,this.opts);const n=this.engine,r=this;this._readyState="opening",this.skipReconnect=!1;const i=Uo(n,"open",function(){r.onopen(),t&&t()}),o=a=>{this.cleanup(),this._readyState="closed",this.emitReserved("error",a),t?t(a):this.maybeReconnectOnOpen()},s=Uo(n,"error",o);if(this._timeout!==!1){const a=this._timeout,l=this.setTimeoutFn(()=>{i(),o(new Error("timeout")),n.close()},a);this.opts.autoUnref&&l.unref(),this.subs.push(()=>{this.clearTimeoutFn(l)})}return this.subs.push(i),this.subs.push(s),this}connect(t){return this.open(t)}onopen(){this.cleanup(),this._readyState="open",this.emitReserved("open");const t=this.engine;this.subs.push(Uo(t,"ping",this.onping.bind(this)),Uo(t,"data",this.ondata.bind(this)),Uo(t,"error",this.onerror.bind(this)),Uo(t,"close",this.onclose.bind(this)),Uo(this.decoder,"decoded",this.ondecoded.bind(this)))}onping(){this.emitReserved("ping")}ondata(t){try{this.decoder.add(t)}catch(n){this.onclose("parse error",n)}}ondecoded(t){NE(()=>{this.emitReserved("packet",t)},this.setTimeoutFn)}onerror(t){this.emitReserved("error",t)}socket(t,n){let r=this.nsps[t];return r?this._autoConnect&&!r.active&&r.connect():(r=new zz(this,t,n),this.nsps[t]=r),r}_destroy(t){const n=Object.keys(this.nsps);for(const r of n)if(this.nsps[r].active)return;this._close()}_packet(t){const n=this.encoder.encode(t);for(let r=0;r<n.length;r++)this.engine.write(n[r],t.options)}cleanup(){this.subs.forEach(t=>t()),this.subs.length=0,this.decoder.destroy()}_close(){this.skipReconnect=!0,this._reconnecting=!1,this.onclose("forced close"),this.engine&&this.engine.close()}disconnect(){return this._close()}onclose(t,n){this.cleanup(),this.backoff.reset(),this._readyState="closed",this.emitReserved("close",t,n),this._reconnection&&!this.skipReconnect&&this.reconnect()}reconnect(){if(this._reconnecting||this.skipReconnect)return this;const t=this;if(this.backoff.attempts>=this._reconnectionAttempts)this.backoff.reset(),this.emitReserved("reconnect_failed"),this._reconnecting=!1;else{const n=this.backoff.duration();this._reconnecting=!0;const r=this.setTimeoutFn(()=>{t.skipReconnect||(this.emitReserved("reconnect_attempt",t.backoff.attempts),!t.skipReconnect&&t.open(i=>{i?(t._reconnecting=!1,t.reconnect(),this.emitReserved("reconnect_error",i)):t.onreconnect()}))},n);this.opts.autoUnref&&r.unref(),this.subs.push(()=>{this.clearTimeoutFn(r)})}}onreconnect(){const t=this.backoff.attempts;this._reconnecting=!1,this.backoff.reset(),this.emitReserved("reconnect",t)}}const np={};function Cv(e,t){typeof e=="object"&&(t=e,e=void 0),t=t||{};const n=m3e(e,t.path||"/socket.io"),r=n.source,i=n.id,o=n.path,s=np[i]&&o in np[i].nsps,a=t.forceNew||t["force new connection"]||t.multiplex===!1||s;let l;return a?l=new y5(r,t):(np[i]||(np[i]=new y5(r,t)),l=np[i]),n.query&&!t.query&&(t.query=n.queryKey),l.socket(n.path,t)}Object.assign(Cv,{Manager:y5,Socket:zz,io:Cv,connect:Cv});const kk=()=>{let e=!1,n=`${window.location.protocol==="https:"?"wss":"ws"}://${window.location.host}`;const 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s}startAnimation(t){const{drag:n,dragMomentum:r,dragElastic:i,dragTransition:o,dragSnapToOrigin:s,onDragTransitionEnd:a}=this.getProps(),l=this.constraints||{},u=ps(d=>{if(!q0(d,n,this.currentDirection))return;let f=l&&l[d]||{};s&&(f={min:0,max:0});const p=i?200:1e6,g=i?40:1e7,m={type:"inertia",velocity:r?t[d]:0,bounceStiffness:p,bounceDamping:g,timeConstant:750,restDelta:1,restSpeed:10,...o,...f};return this.startAxisValueAnimation(d,m)});return Promise.all(u).then(a)}startAxisValueAnimation(t,n){const r=this.getAxisMotionValue(t);return r.start(a6(t,r,0,n))}stopAnimation(){ps(t=>this.getAxisMotionValue(t).stop())}getAxisMotionValue(t){const n="_drag"+t.toUpperCase(),r=this.visualElement.getProps(),i=r[n];return i||this.visualElement.getValue(t,(r.initial?r.initial[t]:void 0)||0)}snapToCursor(t){ps(n=>{const{drag:r}=this.getProps();if(!q0(n,r,this.currentDirection))return;const{projection:i}=this.visualElement,o=this.getAxisMotionValue(n);if(i&&i.layout){const{min:s,max:a}=i.layout.layoutBox[n];o.set(t[n]-vn(s,a,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!$d(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};ps(s=>{const a=this.getAxisMotionValue(s);if(a){const l=a.get();i[s]=Q6e({min:l,max:l},this.constraints[s])}});const{transformTemplate:o}=this.visualElement.getProps();this.visualElement.current.style.transform=o?o({},""):"none",r.root&&r.root.updateScroll(),r.updateLayout(),this.resolveConstraints(),ps(s=>{if(!q0(s,t,null))return;const a=this.getAxisMotionValue(s),{min:l,max:u}=this.constraints[s];a.set(vn(l,u,i[s]))})}addListeners(){if(!this.visualElement.current)return;sAe.set(this.visualElement,this);const t=this.visualElement.current,n=Sa(t,"pointerdown",l=>{const{drag:u,dragListener:d=!0}=this.getProps();u&&d&&this.start(l)}),r=()=>{const{dragConstraints:l}=this.getProps();$d(l)&&(this.constraints=this.resolveRefConstraints())},{projection:i}=this.visualElement,o=i.addEventListener("measure",r);i&&!i.layout&&(i.root&&i.root.updateScroll(),i.updateLayout()),r();const s=ma(window,"resize",()=>this.scalePositionWithinConstraints()),a=i.addEventListener("didUpdate",({delta:l,hasLayoutChanged:u})=>{this.isDragging&&u&&(ps(d=>{const f=this.getAxisMotionValue(d);f&&(this.originPoint[d]+=l[d].translate,f.set(f.get()+l[d].translate))}),this.visualElement.render())});return()=>{s(),n(),o(),a&&a()}}getProps(){const t=this.visualElement.getProps(),{drag:n=!1,dragDirectionLock:r=!1,dragPropagation:i=!1,dragConstraints:o=!1,dragElastic:s=L5,dragMomentum:a=!0}=t;return{...t,drag:n,dragDirectionLock:r,dragPropagation:i,dragConstraints:o,dragElastic:s,dragMomentum:a}}}function q0(e,t,n){return(t===!0||t===e)&&(n===null||n===e)}function lAe(e,t=10){let n=null;return Math.abs(e.y)>t?n="y":Math.abs(e.x)>t&&(n="x"),n}class uAe extends lu{constructor(t){super(t),this.removeGroupControls=jn,this.removeListeners=jn,this.controls=new aAe(t)}mount(){const{dragControls:t}=this.node.getProps();t&&(this.removeGroupControls=t.subscribe(this.controls)),this.removeListeners=this.controls.addListeners()||jn}unmount(){this.removeGroupControls(),this.removeListeners()}}const OI=e=>(t,n)=>{e&&dn.update(()=>e(t,n))};class cAe extends lu{constructor(){super(...arguments),this.removePointerDownListener=jn}onPointerDown(t){this.session=new vj(t,this.createPanHandlers(),{transformPagePoint:this.node.getTransformPagePoint()})}createPanHandlers(){const{onPanSessionStart:t,onPanStart:n,onPan:r,onPanEnd:i}=this.node.getProps();return{onSessionStart:OI(t),onStart:OI(n),onMove:r,onEnd:(o,s)=>{delete this.session,i&&dn.update(()=>i(o,s))}}}mount(){this.removePointerDownListener=Sa(this.node.current,"pointerdown",t=>this.onPointerDown(t))}update(){this.session&&this.session.updateHandlers(this.createPanHandlers())}unmount(){this.removePointerDownListener(),this.session&&this.session.end()}}function dAe(){const e=L.useContext(Lm);if(e===null)return[!0,null];const{isPresent:t,onExitComplete:n,register:r}=e,i=L.useId();return L.useEffect(()=>r(i),[]),!t&&n?[!1,()=>n&&n(i)]:[!0]}function CMe(){return fAe(L.useContext(Lm))}function fAe(e){return e===null?!0:e.isPresent}const kv={hasAnimatedSinceResize:!0,hasEverUpdated:!1};function kI(e,t){return t.max===t.min?0:e/(t.max-t.min)*100}const op={correct:(e,t)=>{if(!t.target)return e;if(typeof e=="string")if(Be.test(e))e=parseFloat(e);else return e;const n=kI(e,t.target.x),r=kI(e,t.target.y);return`${n}% ${r}%`}},hAe={correct:(e,{treeScale:t,projectionDelta:n})=>{const r=e,i=Kl.parse(e);if(i.length>5)return r;const o=Kl.createTransformer(e),s=typeof i[0]!="number"?1:0,a=n.x.scale*t.x,l=n.y.scale*t.y;i[0+s]/=a,i[1+s]/=l;const u=vn(a,l,.5);return typeof i[2+s]=="number"&&(i[2+s]/=u),typeof i[3+s]=="number"&&(i[3+s]/=u),o(i)}};class pAe extends Lt.Component{componentDidMount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r,layoutId:i}=this.props,{projection:o}=t;STe(gAe),o&&(n.group&&n.group.add(o),r&&r.register&&i&&r.register(o),o.root.didUpdate(),o.addEventListener("animationComplete",()=>{this.safeToRemove()}),o.setOptions({...o.options,onExitComplete:()=>this.safeToRemove()})),kv.hasEverUpdated=!0}getSnapshotBeforeUpdate(t){const{layoutDependency:n,visualElement:r,drag:i,isPresent:o}=this.props,s=r.projection;return s&&(s.isPresent=o,i||t.layoutDependency!==n||n===void 0?s.willUpdate():this.safeToRemove(),t.isPresent!==o&&(o?s.promote():s.relegate()||dn.postRender(()=>{const a=s.getStack();(!a||!a.members.length)&&this.safeToRemove()}))),null}componentDidUpdate(){const{projection:t}=this.props.visualElement;t&&(t.root.didUpdate(),queueMicrotask(()=>{!t.currentAnimation&&t.isLead()&&this.safeToRemove()}))}componentWillUnmount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r}=this.props,{projection:i}=t;i&&(i.scheduleCheckAfterUnmount(),n&&n.group&&n.group.remove(i),r&&r.deregister&&r.deregister(i))}safeToRemove(){const{safeToRemove:t}=this.props;t&&t()}render(){return null}}function Cj(e){const[t,n]=dAe(),r=L.useContext(qE);return Lt.createElement(pAe,{...e,layoutGroup:r,switchLayoutGroup:L.useContext(_V),isPresent:t,safeToRemove:n})}const gAe={borderRadius:{...op,applyTo:["borderTopLeftRadius","borderTopRightRadius","borderBottomLeftRadius","borderBottomRightRadius"]},borderTopLeftRadius:op,borderTopRightRadius:op,borderBottomLeftRadius:op,borderBottomRightRadius:op,boxShadow:hAe},Tj=["TopLeft","TopRight","BottomLeft","BottomRight"],mAe=Tj.length,II=e=>typeof e=="string"?parseFloat(e):e,MI=e=>typeof e=="number"||Be.test(e);function yAe(e,t,n,r,i,o){i?(e.opacity=vn(0,n.opacity!==void 0?n.opacity:1,vAe(r)),e.opacityExit=vn(t.opacity!==void 0?t.opacity:1,0,_Ae(r))):o&&(e.opacity=vn(t.opacity!==void 0?t.opacity:1,n.opacity!==void 0?n.opacity:1,r));for(let s=0;s<mAe;s++){const a=`border${Tj[s]}Radius`;let l=NI(t,a),u=NI(n,a);if(l===void 0&&u===void 0)continue;l||(l=0),u||(u=0),l===0||u===0||MI(l)===MI(u)?(e[a]=Math.max(vn(II(l),II(u),r),0),(Is.test(u)||Is.test(l))&&(e[a]+="%")):e[a]=u}(t.rotate||n.rotate)&&(e.rotate=vn(t.rotate||0,n.rotate||0,r))}function NI(e,t){return e[t]!==void 0?e[t]:e.borderRadius}const vAe=Ej(0,.5,r6),_Ae=Ej(.5,.95,jn);function Ej(e,t,n){return r=>r<e?0:r>t?1:n(jg(e,t,r))}function LI(e,t){e.min=t.min,e.max=t.max}function fo(e,t){LI(e.x,t.x),LI(e.y,t.y)}function DI(e,t,n,r,i){return e-=t,e=g_(e,1/n,r),i!==void 0&&(e=g_(e,1/i,r)),e}function bAe(e,t=0,n=1,r=.5,i,o=e,s=e){if(Is.test(t)&&(t=parseFloat(t),t=vn(s.min,s.max,t/100)-s.min),typeof t!="number")return;let a=vn(o.min,o.max,r);e===o&&(a-=t),e.min=DI(e.min,t,n,a,i),e.max=DI(e.max,t,n,a,i)}function $I(e,t,[n,r,i],o,s){bAe(e,t[n],t[r],t[i],t.scale,o,s)}const SAe=["x","scaleX","originX"],wAe=["y","scaleY","originY"];function FI(e,t,n,r){$I(e.x,t,SAe,n?n.x:void 0,r?r.x:void 0),$I(e.y,t,wAe,n?n.y:void 0,r?r.y:void 0)}function BI(e){return e.translate===0&&e.scale===1}function Aj(e){return BI(e.x)&&BI(e.y)}function F5(e,t){return e.x.min===t.x.min&&e.x.max===t.x.max&&e.y.min===t.y.min&&e.y.max===t.y.max}function UI(e){return Xi(e.x)/Xi(e.y)}class xAe{constructor(){this.members=[]}add(t){l6(this.members,t),t.scheduleRender()}remove(t){if(u6(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function zI(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) `),(t.x!==1||t.y!==1)&&(r+=`scale(${1/t.x}, ${1/t.y}) `),n){const{rotate:l,rotateX:u,rotateY:d}=n;l&&(r+=`rotate(${l}deg) `),u&&(r+=`rotateX(${u}deg) `),d&&(r+=`rotateY(${d}deg) `)}const s=e.x.scale*t.x,a=e.y.scale*t.y;return(s!==1||a!==1)&&(r+=`scale(${s}, ${a})`),r||"none"}const CAe=(e,t)=>e.depth-t.depth;class TAe{constructor(){this.children=[],this.isDirty=!1}add(t){l6(this.children,t),this.isDirty=!0}remove(t){u6(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(CAe),this.isDirty=!1,this.children.forEach(t)}}function EAe(e,t){const n=performance.now(),r=({timestamp:i})=>{const o=i-n;o>=t&&(ka(r),e(o-t))};return dn.read(r,!0),()=>ka(r)}function AAe(e){window.MotionDebug&&window.MotionDebug.record(e)}function PAe(e){return e instanceof SVGElement&&e.tagName!=="svg"}function RAe(e,t,n){const r=ki(e)?e:Mf(e);return r.start(a6("",r,t,n)),r.animation}const VI=["","X","Y","Z"],jI=1e3;let OAe=0;const Ru={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function Pj({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(s={},a=t==null?void 0:t()){this.id=OAe++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Ru.totalNodes=Ru.resolvedTargetDeltas=Ru.recalculatedProjection=0,this.nodes.forEach(MAe),this.nodes.forEach(FAe),this.nodes.forEach(BAe),this.nodes.forEach(NAe),AAe(Ru)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new TAe)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new c6),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=PAe(s),this.instance=s;const{layoutId:l,layout:u,visualElement:d}=this.options;if(d&&!d.current&&d.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let f;const p=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,f&&f(),f=EAe(p,250),kv.hasAnimatedSinceResize&&(kv.hasAnimatedSinceResize=!1,this.nodes.forEach(HI))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&d&&(l||u)&&this.addEventListener("didUpdate",({delta:f,hasLayoutChanged:p,hasRelativeTargetChanged:g,layout:m})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const v=this.options.transition||d.getDefaultTransition()||GAe,{onLayoutAnimationStart:x,onLayoutAnimationComplete:_}=d.getProps(),b=!this.targetLayout||!F5(this.targetLayout,m)||g,y=!p&&g;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||y||p&&(b||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(f,y);const S={...pj(v,"layout"),onPlay:x,onComplete:_};(d.shouldReduceMotion||this.options.layoutRoot)&&(S.delay=0,S.type=!1),this.startAnimation(S)}else p||HI(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=m})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,ka(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(UAe),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let d=0;d<this.path.length;d++){const f=this.path[d];f.shouldResetTransform=!0,f.updateScroll("snapshot"),f.options.layoutRoot&&f.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(GI);return}this.isUpdating||this.nodes.forEach(DAe),this.isUpdating=!1,this.nodes.forEach($Ae),this.nodes.forEach(kAe),this.nodes.forEach(IAe),this.clearAllSnapshots();const a=performance.now();Vr.delta=ql(0,1e3/60,a-Vr.timestamp),Vr.timestamp=a,Vr.isProcessing=!0,Qx.update.process(Vr),Qx.preRender.process(Vr),Qx.render.process(Vr),Vr.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach(LAe),this.sharedNodes.forEach(zAe)}scheduleUpdateProjection(){dn.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){dn.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=Fn(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!Aj(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,d=u!==this.prevTransformTemplateValue;s&&(a||Pu(this.latestValues)||d)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),HAe(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return Fn();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(fl(a.x,l.offset.x),fl(a.y,l.offset.y)),a}removeElementScroll(s){const a=Fn();fo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:d,options:f}=u;if(u!==this.root&&d&&f.layoutScroll){if(d.isRoot){fo(a,s);const{scroll:p}=this.root;p&&(fl(a.x,-p.offset.x),fl(a.y,-p.offset.y))}fl(a.x,d.offset.x),fl(a.y,d.offset.y)}}return a}applyTransform(s,a=!1){const l=Fn();fo(l,s);for(let u=0;u<this.path.length;u++){const d=this.path[u];!a&&d.options.layoutScroll&&d.scroll&&d!==d.root&&Ud(l,{x:-d.scroll.offset.x,y:-d.scroll.offset.y}),Pu(d.latestValues)&&Ud(l,d.latestValues)}return Pu(this.latestValues)&&Ud(l,this.latestValues),l}removeTransform(s){const a=Fn();fo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!Pu(u.latestValues))continue;D5(u.latestValues)&&u.updateSnapshot();const d=Fn(),f=u.measurePageBox();fo(d,f),FI(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,d)}return Pu(this.latestValues)&&FI(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==Vr.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:f,layoutId:p}=this.options;if(!(!this.layout||!(f||p))){if(this.resolvedRelativeTargetAt=Vr.timestamp,!this.targetDelta&&!this.relativeTarget){const g=this.getClosestProjectingParent();g&&g.layout&&this.animationProgress!==1?(this.relativeParent=g,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Fn(),this.relativeTargetOrigin=Fn(),Mp(this.relativeTargetOrigin,this.layout.layoutBox,g.layout.layoutBox),fo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=Fn(),this.targetWithTransforms=Fn()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),q6e(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):fo(this.target,this.layout.layoutBox),wj(this.target,this.targetDelta)):fo(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const g=this.getClosestProjectingParent();g&&!!g.resumingFrom==!!this.resumingFrom&&!g.options.layoutScroll&&g.target&&this.animationProgress!==1?(this.relativeParent=g,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Fn(),this.relativeTargetOrigin=Fn(),Mp(this.relativeTargetOrigin,this.target,g.target),fo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Ru.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||D5(this.parent.latestValues)||Sj(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===Vr.timestamp&&(u=!1),u)return;const{layout:d,layoutId:f}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(d||f))return;fo(this.layoutCorrected,this.layout.layoutBox);const p=this.treeScale.x,g=this.treeScale.y;nAe(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:m}=a;if(!m){this.projectionTransform&&(this.projectionDelta=Bd(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=Bd(),this.projectionDeltaWithTransform=Bd());const v=this.projectionTransform;Ip(this.projectionDelta,this.layoutCorrected,m,this.latestValues),this.projectionTransform=zI(this.projectionDelta,this.treeScale),(this.projectionTransform!==v||this.treeScale.x!==p||this.treeScale.y!==g)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",m)),Ru.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},d={...this.latestValues},f=Bd();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const p=Fn(),g=l?l.source:void 0,m=this.layout?this.layout.source:void 0,v=g!==m,x=this.getStack(),_=!x||x.members.length<=1,b=!!(v&&!_&&this.options.crossfade===!0&&!this.path.some(jAe));this.animationProgress=0;let y;this.mixTargetDelta=S=>{const C=S/1e3;WI(f.x,s.x,C),WI(f.y,s.y,C),this.setTargetDelta(f),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Mp(p,this.layout.layoutBox,this.relativeParent.layout.layoutBox),VAe(this.relativeTarget,this.relativeTargetOrigin,p,C),y&&F5(this.relativeTarget,y)&&(this.isProjectionDirty=!1),y||(y=Fn()),fo(y,this.relativeTarget)),v&&(this.animationValues=d,yAe(d,u,this.latestValues,C,b,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=C},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(ka(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=dn.update(()=>{kv.hasAnimatedSinceResize=!0,this.currentAnimation=RAe(0,jI,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(jI),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:d}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&Rj(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Fn();const f=Xi(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+f;const p=Xi(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+p}fo(a,l),Ud(a,d),Ip(this.projectionDeltaWithTransform,this.layoutCorrected,a,d)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new xAe),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let d=0;d<VI.length;d++){const f="rotate"+VI[d];l[f]&&(u[f]=l[f],s.setStaticValue(f,0))}s.render();for(const d in u)s.setStaticValue(d,u[d]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const d=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=Ov(s.pointerEvents)||"",u.transform=d?d(this.latestValues,""):"none",u;const f=this.getLead();if(!this.projectionDelta||!this.layout||!f.target){const v={};return this.options.layoutId&&(v.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,v.pointerEvents=Ov(s.pointerEvents)||""),this.hasProjected&&!Pu(this.latestValues)&&(v.transform=d?d({},""):"none",this.hasProjected=!1),v}const p=f.animationValues||f.latestValues;this.applyTransformsToTarget(),u.transform=zI(this.projectionDeltaWithTransform,this.treeScale,p),d&&(u.transform=d(p,u.transform));const{x:g,y:m}=this.projectionDelta;u.transformOrigin=`${g.origin*100}% ${m.origin*100}% 0`,f.animationValues?u.opacity=f===this?(l=(a=p.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:p.opacityExit:u.opacity=f===this?p.opacity!==void 0?p.opacity:"":p.opacityExit!==void 0?p.opacityExit:0;for(const v in l_){if(p[v]===void 0)continue;const{correct:x,applyTo:_}=l_[v],b=u.transform==="none"?p[v]:x(p[v],f);if(_){const y=_.length;for(let S=0;S<y;S++)u[_[S]]=b}else u[v]=b}return this.options.layoutId&&(u.pointerEvents=f===this?Ov(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(GI),this.root.sharedNodes.clear()}}}function kAe(e){e.updateLayout()}function IAe(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?ps(f=>{const p=s?n.measuredBox[f]:n.layoutBox[f],g=Xi(p);p.min=r[f].min,p.max=p.min+g}):Rj(o,n.layoutBox,r)&&ps(f=>{const p=s?n.measuredBox[f]:n.layoutBox[f],g=Xi(r[f]);p.max=p.min+g,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[f].max=e.relativeTarget[f].min+g)});const a=Bd();Ip(a,r,n.layoutBox);const l=Bd();s?Ip(l,e.applyTransform(i,!0),n.measuredBox):Ip(l,r,n.layoutBox);const u=!Aj(a);let d=!1;if(!e.resumeFrom){const f=e.getClosestProjectingParent();if(f&&!f.resumeFrom){const{snapshot:p,layout:g}=f;if(p&&g){const m=Fn();Mp(m,n.layoutBox,p.layoutBox);const v=Fn();Mp(v,r,g.layoutBox),F5(m,v)||(d=!0),f.options.layoutRoot&&(e.relativeTarget=v,e.relativeTargetOrigin=m,e.relativeParent=f)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:d})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function MAe(e){Ru.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function NAe(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function LAe(e){e.clearSnapshot()}function GI(e){e.clearMeasurements()}function DAe(e){e.isLayoutDirty=!1}function $Ae(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function HI(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function FAe(e){e.resolveTargetDelta()}function BAe(e){e.calcProjection()}function UAe(e){e.resetRotation()}function zAe(e){e.removeLeadSnapshot()}function WI(e,t,n){e.translate=vn(t.translate,0,n),e.scale=vn(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function qI(e,t,n,r){e.min=vn(t.min,n.min,r),e.max=vn(t.max,n.max,r)}function VAe(e,t,n,r){qI(e.x,t.x,n.x,r),qI(e.y,t.y,n.y,r)}function jAe(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const GAe={duration:.45,ease:[.4,0,.1,1]};function KI(e){e.min=Math.round(e.min*2)/2,e.max=Math.round(e.max*2)/2}function HAe(e){KI(e.x),KI(e.y)}function Rj(e,t,n){return e==="position"||e==="preserve-aspect"&&!N5(UI(t),UI(n),.2)}const WAe=Pj({attachResizeListener:(e,t)=>ma(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),uC={current:void 0},Oj=Pj({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!uC.current){const e=new WAe({});e.mount(window),e.setOptions({layoutScroll:!0}),uC.current=e}return uC.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>window.getComputedStyle(e).position==="fixed"}),qAe={pan:{Feature:cAe},drag:{Feature:uAe,ProjectionNode:Oj,MeasureLayout:Cj}},KAe=/var\((--[a-zA-Z0-9-_]+),? ?([a-zA-Z0-9 ()%#.,-]+)?\)/;function XAe(e){const t=KAe.exec(e);if(!t)return[,];const[,n,r]=t;return[n,r]}function B5(e,t,n=1){const[r,i]=XAe(e);if(!r)return;const o=window.getComputedStyle(t).getPropertyValue(r);return o?o.trim():A5(i)?B5(i,t,n+1):i}function YAe(e,{...t},n){const r=e.current;if(!(r instanceof Element))return{target:t,transitionEnd:n};n&&(n={...n}),e.values.forEach(i=>{const o=i.get();if(!A5(o))return;const s=B5(o,r);s&&i.set(s)});for(const i in t){const o=t[i];if(!A5(o))continue;const s=B5(o,r);s&&(t[i]=s,n||(n={}),n[i]===void 0&&(n[i]=o))}return{target:t,transitionEnd:n}}const QAe=new Set(["width","height","top","left","right","bottom","x","y","translateX","translateY"]),kj=e=>QAe.has(e),ZAe=e=>Object.keys(e).some(kj),XI=e=>e===Oc||e===Be,YI=(e,t)=>parseFloat(e.split(", ")[t]),QI=(e,t)=>(n,{transform:r})=>{if(r==="none"||!r)return 0;const i=r.match(/^matrix3d\((.+)\)$/);if(i)return YI(i[1],t);{const o=r.match(/^matrix\((.+)\)$/);return o?YI(o[1],e):0}},JAe=new Set(["x","y","z"]),ePe=Dm.filter(e=>!JAe.has(e));function tPe(e){const t=[];return ePe.forEach(n=>{const r=e.getValue(n);r!==void 0&&(t.push([n,r.get()]),r.set(n.startsWith("scale")?1:0))}),t.length&&e.render(),t}const Nf={width:({x:e},{paddingLeft:t="0",paddingRight:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),height:({y:e},{paddingTop:t="0",paddingBottom:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),top:(e,{top:t})=>parseFloat(t),left:(e,{left:t})=>parseFloat(t),bottom:({y:e},{top:t})=>parseFloat(t)+(e.max-e.min),right:({x:e},{left:t})=>parseFloat(t)+(e.max-e.min),x:QI(4,13),y:QI(5,14)};Nf.translateX=Nf.x;Nf.translateY=Nf.y;const nPe=(e,t,n)=>{const r=t.measureViewportBox(),i=t.current,o=getComputedStyle(i),{display:s}=o,a={};s==="none"&&t.setStaticValue("display",e.display||"block"),n.forEach(u=>{a[u]=Nf[u](r,o)}),t.render();const l=t.measureViewportBox();return n.forEach(u=>{const d=t.getValue(u);d&&d.jump(a[u]),e[u]=Nf[u](l,o)}),e},rPe=(e,t,n={},r={})=>{t={...t},r={...r};const i=Object.keys(t).filter(kj);let o=[],s=!1;const a=[];if(i.forEach(l=>{const u=e.getValue(l);if(!e.hasValue(l))return;let d=n[l],f=ip(d);const p=t[l];let g;if(c_(p)){const m=p.length,v=p[0]===null?1:0;d=p[v],f=ip(d);for(let x=v;x<m&&p[x]!==null;x++)g?n6(ip(p[x])===g):g=ip(p[x])}else g=ip(p);if(f!==g)if(XI(f)&&XI(g)){const m=u.get();typeof m=="string"&&u.set(parseFloat(m)),typeof p=="string"?t[l]=parseFloat(p):Array.isArray(p)&&g===Be&&(t[l]=p.map(parseFloat))}else f!=null&&f.transform&&(g!=null&&g.transform)&&(d===0||p===0)?d===0?u.set(g.transform(d)):t[l]=f.transform(p):(s||(o=tPe(e),s=!0),a.push(l),r[l]=r[l]!==void 0?r[l]:t[l],u.jump(p))}),a.length){const l=a.indexOf("height")>=0?window.pageYOffset:null,u=nPe(t,e,a);return o.length&&o.forEach(([d,f])=>{e.getValue(d).set(f)}),e.render(),i2&&l!==null&&window.scrollTo({top:l}),{target:u,transitionEnd:r}}else return{target:t,transitionEnd:r}};function iPe(e,t,n,r){return ZAe(t)?rPe(e,t,n,r):{target:t,transitionEnd:r}}const oPe=(e,t,n,r)=>{const i=YAe(e,t,r);return t=i.target,r=i.transitionEnd,iPe(e,t,n,r)},U5={current:null},Ij={current:!1};function sPe(){if(Ij.current=!0,!!i2)if(window.matchMedia){const e=window.matchMedia("(prefers-reduced-motion)"),t=()=>U5.current=e.matches;e.addListener(t),t()}else U5.current=!1}function aPe(e,t,n){const{willChange:r}=t;for(const i in t){const o=t[i],s=n[i];if(ki(o))e.addValue(i,o),p_(r)&&r.add(i);else if(ki(s))e.addValue(i,Mf(o,{owner:e})),p_(r)&&r.remove(i);else if(s!==o)if(e.hasValue(i)){const a=e.getValue(i);!a.hasAnimated&&a.set(o)}else{const a=e.getStaticValue(i);e.addValue(i,Mf(a!==void 0?a:o,{owner:e}))}}for(const i in n)t[i]===void 0&&e.removeValue(i);return t}const ZI=new WeakMap,Mj=Object.keys(Vg),lPe=Mj.length,JI=["AnimationStart","AnimationComplete","Update","BeforeLayoutMeasure","LayoutMeasure","LayoutAnimationStart","LayoutAnimationComplete"],uPe=WE.length;class cPe{constructor({parent:t,props:n,presenceContext:r,reducedMotionConfig:i,visualState:o},s={}){this.current=null,this.children=new Set,this.isVariantNode=!1,this.isControllingVariants=!1,this.shouldReduceMotion=null,this.values=new Map,this.features={},this.valueSubscriptions=new Map,this.prevMotionValues={},this.events={},this.propEventSubscriptions={},this.notifyUpdate=()=>this.notify("Update",this.latestValues),this.render=()=>{this.current&&(this.triggerBuild(),this.renderInstance(this.current,this.renderState,this.props.style,this.projection))},this.scheduleRender=()=>dn.render(this.render,!1,!0);const{latestValues:a,renderState:l}=o;this.latestValues=a,this.baseTarget={...a},this.initialValues=n.initial?{...a}:{},this.renderState=l,this.parent=t,this.props=n,this.presenceContext=r,this.depth=t?t.depth+1:0,this.reducedMotionConfig=i,this.options=s,this.isControllingVariants=s2(n),this.isVariantNode=vV(n),this.isVariantNode&&(this.variantChildren=new Set),this.manuallyAnimateOnMount=!!(t&&t.current);const{willChange:u,...d}=this.scrapeMotionValuesFromProps(n,{});for(const f in d){const p=d[f];a[f]!==void 0&&ki(p)&&(p.set(a[f],!1),p_(u)&&u.add(f))}}scrapeMotionValuesFromProps(t,n){return{}}mount(t){this.current=t,ZI.set(t,this),this.projection&&!this.projection.instance&&this.projection.mount(t),this.parent&&this.isVariantNode&&!this.isControllingVariants&&(this.removeFromVariantTree=this.parent.addVariantChild(this)),this.values.forEach((n,r)=>this.bindToMotionValue(r,n)),Ij.current||sPe(),this.shouldReduceMotion=this.reducedMotionConfig==="never"?!1:this.reducedMotionConfig==="always"?!0:U5.current,this.parent&&this.parent.children.add(this),this.update(this.props,this.presenceContext)}unmount(){ZI.delete(this.current),this.projection&&this.projection.unmount(),ka(this.notifyUpdate),ka(this.render),this.valueSubscriptions.forEach(t=>t()),this.removeFromVariantTree&&this.removeFromVariantTree(),this.parent&&this.parent.children.delete(this);for(const t in this.events)this.events[t].clear();for(const t in this.features)this.features[t].unmount();this.current=null}bindToMotionValue(t,n){const r=Rc.has(t),i=n.on("change",s=>{this.latestValues[t]=s,this.props.onUpdate&&dn.update(this.notifyUpdate,!1,!0),r&&this.projection&&(this.projection.isTransformDirty=!0)}),o=n.on("renderRequest",this.scheduleRender);this.valueSubscriptions.set(t,()=>{i(),o()})}sortNodePosition(t){return!this.current||!this.sortInstanceNodePosition||this.type!==t.type?0:this.sortInstanceNodePosition(this.current,t.current)}loadFeatures({children:t,...n},r,i,o){let s,a;for(let l=0;l<lPe;l++){const u=Mj[l],{isEnabled:d,Feature:f,ProjectionNode:p,MeasureLayout:g}=Vg[u];p&&(s=p),d(n)&&(!this.features[u]&&f&&(this.features[u]=new f(this)),g&&(a=g))}if(!this.projection&&s){this.projection=new 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u=S8e(a).reduce((f,p)=>f+y8e(r,p),0),d=Number((u/4).toFixed(4));i.push({id:s,data:{droppableContainer:o,value:d}})}}return i.sort(_8e)};function A8e(e,t,n){return{...e,scaleX:t&&n?t.width/n.width:1,scaleY:t&&n?t.height/n.height:1}}function qj(e,t){return e&&t?{x:e.left-t.left,y:e.top-t.top}:ts}function P8e(e){return function(n){for(var r=arguments.length,i=new Array(r>1?r-1:0),o=1;o<r;o++)i[o-1]=arguments[o];return i.reduce((s,a)=>({...s,top:s.top+e*a.y,bottom:s.bottom+e*a.y,left:s.left+e*a.x,right:s.right+e*a.x}),{...n})}}const R8e=P8e(1);function Kj(e){if(e.startsWith("matrix3d(")){const t=e.slice(9,-1).split(/, /);return{x:+t[12],y:+t[13],scaleX:+t[0],scaleY:+t[5]}}else if(e.startsWith("matrix(")){const t=e.slice(7,-1).split(/, /);return{x:+t[4],y:+t[5],scaleX:+t[0],scaleY:+t[3]}}return null}function O8e(e,t,n){const r=Kj(t);if(!r)return e;const{scaleX:i,scaleY:o,x:s,y:a}=r,l=e.left-s-(1-i)*parseFloat(n),u=e.top-a-(1-o)*parseFloat(n.slice(n.indexOf(" ")+1)),d=i?e.width/i:e.width,f=o?e.height/o:e.height;return{width:d,height:f,top:u,right:l+d,bottom:u+f,left:l}}const k8e={ignoreTransform:!1};function Vm(e,t){t===void 0&&(t=k8e);let n=e.getBoundingClientRect();if(t.ignoreTransform){const{transform:u,transformOrigin:d}=fi(e).getComputedStyle(e);u&&(n=O8e(n,u,d))}const{top:r,left:i,width:o,height:s,bottom:a,right:l}=n;return{top:r,left:i,width:o,height:s,bottom:a,right:l}}function a7(e){return Vm(e,{ignoreTransform:!0})}function I8e(e){const t=e.innerWidth,n=e.innerHeight;return{top:0,left:0,right:t,bottom:n,width:t,height:n}}function M8e(e,t){return t===void 0&&(t=fi(e).getComputedStyle(e)),t.position==="fixed"}function N8e(e,t){t===void 0&&(t=fi(e).getComputedStyle(e));const n=/(auto|scroll|overlay)/;return["overflow","overflowX","overflowY"].some(i=>{const o=t[i];return typeof o=="string"?n.test(o):!1})}function y6(e,t){const n=[];function r(i){if(t!=null&&n.length>=t||!i)return n;if(g6(i)&&i.scrollingElement!=null&&!n.includes(i.scrollingElement))return n.push(i.scrollingElement),n;if(!Um(i)||t8e(i)||n.includes(i))return n;const o=fi(e).getComputedStyle(i);return i!==e&&N8e(i,o)&&n.push(i),M8e(i,o)?n:r(i.parentNode)}return e?r(e):n}function Xj(e){const[t]=y6(e,1);return t??null}function fC(e){return!c2||!e?null:Yf(e)?e:p6(e)?g6(e)||e===Qf(e).scrollingElement?window:Um(e)?e:null:null}function Yj(e){return Yf(e)?e.scrollX:e.scrollLeft}function Qj(e){return Yf(e)?e.scrollY:e.scrollTop}function K5(e){return{x:Yj(e),y:Qj(e)}}var fr;(function(e){e[e.Forward=1]="Forward",e[e.Backward=-1]="Backward"})(fr||(fr={}));function Zj(e){return!c2||!e?!1:e===document.scrollingElement}function Jj(e){const t={x:0,y:0},n=Zj(e)?{height:window.innerHeight,width:window.innerWidth}:{height:e.clientHeight,width:e.clientWidth},r={x:e.scrollWidth-n.width,y:e.scrollHeight-n.height},i=e.scrollTop<=t.y,o=e.scrollLeft<=t.x,s=e.scrollTop>=r.y,a=e.scrollLeft>=r.x;return{isTop:i,isLeft:o,isBottom:s,isRight:a,maxScroll:r,minScroll:t}}const L8e={x:.2,y:.2};function D8e(e,t,n,r,i){let{top:o,left:s,right:a,bottom:l}=n;r===void 0&&(r=10),i===void 0&&(i=L8e);const{isTop:u,isBottom:d,isLeft:f,isRight:p}=Jj(e),g={x:0,y:0},m={x:0,y:0},v={height:t.height*i.y,width:t.width*i.x};return!u&&o<=t.top+v.height?(g.y=fr.Backward,m.y=r*Math.abs((t.top+v.height-o)/v.height)):!d&&l>=t.bottom-v.height&&(g.y=fr.Forward,m.y=r*Math.abs((t.bottom-v.height-l)/v.height)),!p&&a>=t.right-v.width?(g.x=fr.Forward,m.x=r*Math.abs((t.right-v.width-a)/v.width)):!f&&s<=t.left+v.width&&(g.x=fr.Backward,m.x=r*Math.abs((t.left+v.width-s)/v.width)),{direction:g,speed:m}}function $8e(e){if(e===document.scrollingElement){const{innerWidth:o,innerHeight:s}=window;return{top:0,left:0,right:o,bottom:s,width:o,height:s}}const{top:t,left:n,right:r,bottom:i}=e.getBoundingClientRect();return{top:t,left:n,right:r,bottom:i,width:e.clientWidth,height:e.clientHeight}}function eG(e){return e.reduce((t,n)=>uf(t,K5(n)),ts)}function F8e(e){return e.reduce((t,n)=>t+Yj(n),0)}function B8e(e){return e.reduce((t,n)=>t+Qj(n),0)}function tG(e,t){if(t===void 0&&(t=Vm),!e)return;const{top:n,left:r,bottom:i,right:o}=t(e);Xj(e)&&(i<=0||o<=0||n>=window.innerHeight||r>=window.innerWidth)&&e.scrollIntoView({block:"center",inline:"center"})}const U8e=[["x",["left","right"],F8e],["y",["top","bottom"],B8e]];class v6{constructor(t,n){this.rect=void 0,this.width=void 0,this.height=void 0,this.top=void 0,this.bottom=void 0,this.right=void 0,this.left=void 0;const r=y6(n),i=eG(r);this.rect={...t},this.width=t.width,this.height=t.height;for(const[o,s,a]of U8e)for(const l of s)Object.defineProperty(this,l,{get:()=>{const u=a(r),d=i[o]-u;return this.rect[l]+d},enumerable:!0});Object.defineProperty(this,"rect",{enumerable:!1})}}class Np{constructor(t){this.target=void 0,this.listeners=[],this.removeAll=()=>{this.listeners.forEach(n=>{var r;return(r=this.target)==null?void 0:r.removeEventListener(...n)})},this.target=t}add(t,n,r){var i;(i=this.target)==null||i.addEventListener(t,n,r),this.listeners.push([t,n,r])}}function z8e(e){const{EventTarget:t}=fi(e);return e instanceof t?e:Qf(e)}function hC(e,t){const n=Math.abs(e.x),r=Math.abs(e.y);return typeof t=="number"?Math.sqrt(n**2+r**2)>t:"x"in t&&"y"in t?n>t.x&&r>t.y:"x"in t?n>t.x:"y"in t?r>t.y:!1}var po;(function(e){e.Click="click",e.DragStart="dragstart",e.Keydown="keydown",e.ContextMenu="contextmenu",e.Resize="resize",e.SelectionChange="selectionchange",e.VisibilityChange="visibilitychange"})(po||(po={}));function l7(e){e.preventDefault()}function V8e(e){e.stopPropagation()}var Qt;(function(e){e.Space="Space",e.Down="ArrowDown",e.Right="ArrowRight",e.Left="ArrowLeft",e.Up="ArrowUp",e.Esc="Escape",e.Enter="Enter"})(Qt||(Qt={}));const nG={start:[Qt.Space,Qt.Enter],cancel:[Qt.Esc],end:[Qt.Space,Qt.Enter]},j8e=(e,t)=>{let{currentCoordinates:n}=t;switch(e.code){case Qt.Right:return{...n,x:n.x+25};case Qt.Left:return{...n,x:n.x-25};case Qt.Down:return{...n,y:n.y+25};case Qt.Up:return{...n,y:n.y-25}}};class rG{constructor(t){this.props=void 0,this.autoScrollEnabled=!1,this.referenceCoordinates=void 0,this.listeners=void 0,this.windowListeners=void 0,this.props=t;const{event:{target:n}}=t;this.props=t,this.listeners=new Np(Qf(n)),this.windowListeners=new Np(fi(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(po.Resize,this.handleCancel),this.windowListeners.add(po.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(po.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&tG(r),n(ts)}handleKeyDown(t){if(m6(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=nG,coordinateGetter:s=j8e,scrollBehavior:a="smooth"}=i,{code:l}=t;if(o.end.includes(l)){this.handleEnd(t);return}if(o.cancel.includes(l)){this.handleCancel(t);return}const{collisionRect:u}=r.current,d=u?{x:u.left,y:u.top}:ts;this.referenceCoordinates||(this.referenceCoordinates=d);const f=s(t,{active:n,context:r.current,currentCoordinates:d});if(f){const p=b_(f,d),g={x:0,y:0},{scrollableAncestors:m}=r.current;for(const v of m){const x=t.code,{isTop:_,isRight:b,isLeft:y,isBottom:S,maxScroll:C,minScroll:T}=Jj(v),E=$8e(v),P={x:Math.min(x===Qt.Right?E.right-E.width/2:E.right,Math.max(x===Qt.Right?E.left:E.left+E.width/2,f.x)),y:Math.min(x===Qt.Down?E.bottom-E.height/2:E.bottom,Math.max(x===Qt.Down?E.top:E.top+E.height/2,f.y))},k=x===Qt.Right&&!b||x===Qt.Left&&!y,O=x===Qt.Down&&!S||x===Qt.Up&&!_;if(k&&P.x!==f.x){const M=v.scrollLeft+p.x,G=x===Qt.Right&&M<=C.x||x===Qt.Left&&M>=T.x;if(G&&!p.y){v.scrollTo({left:M,behavior:a});return}G?g.x=v.scrollLeft-M:g.x=x===Qt.Right?v.scrollLeft-C.x:v.scrollLeft-T.x,g.x&&v.scrollBy({left:-g.x,behavior:a});break}else if(O&&P.y!==f.y){const 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0&&(r=z8e(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=Qf(s),this.documentListeners=new Np(this.document),this.listeners=new Np(r),this.windowListeners=new Np(fi(s)),this.initialCoordinates=(i=qg(o))!=null?i:ts,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(po.Resize,this.handleCancel),this.windowListeners.add(po.DragStart,l7),this.windowListeners.add(po.VisibilityChange,this.handleCancel),this.windowListeners.add(po.ContextMenu,l7),this.documentListeners.add(po.Keydown,this.handleKeydown),n){if(u7(n))return;if(c7(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(po.Click,V8e,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(po.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=qg(t))!=null?n:ts,u=b_(i,l);if(!r&&a){if(c7(a))return hC(u,a.tolerance)?this.handleCancel():void 0;if(u7(a))return a.tolerance!=null&&hC(u,a.tolerance)?this.handleCancel():hC(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===Qt.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const G8e={move:{name:"pointermove"},end:{name:"pointerup"}};class iG extends _6{constructor(t){const{event:n}=t,r=Qf(n.target);super(t,G8e,r)}}iG.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const H8e={move:{name:"mousemove"},end:{name:"mouseup"}};var X5;(function(e){e[e.RightClick=2]="RightClick"})(X5||(X5={}));class oG extends _6{constructor(t){super(t,H8e,Qf(t.event.target))}}oG.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===X5.RightClick?!1:(r==null||r({event:n}),!0)}}];const pC={move:{name:"touchmove"},end:{name:"touchend"}};class sG extends _6{constructor(t){super(t,pC)}static setup(){return window.addEventListener(pC.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(pC.move.name,t)};function t(){}}}sG.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var Lp;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Lp||(Lp={}));var w_;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(w_||(w_={}));function W8e(e){let{acceleration:t,activator:n=Lp.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=w_.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:d,delta:f,threshold:p}=e;const g=K8e({delta:f,disabled:!o}),[m,v]=n8e(),x=L.useRef({x:0,y:0}),_=L.useRef({x:0,y:0}),b=L.useMemo(()=>{switch(n){case Lp.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case Lp.DraggableRect:return i}},[n,i,l]),y=L.useRef(null),S=L.useCallback(()=>{const T=y.current;if(!T)return;const E=x.current.x*_.current.x,P=x.current.y*_.current.y;T.scrollBy(E,P)},[]),C=L.useMemo(()=>a===w_.TreeOrder?[...u].reverse():u,[a,u]);L.useEffect(()=>{if(!o||!u.length||!b){v();return}for(const T of C){if((r==null?void 0:r(T))===!1)continue;const E=u.indexOf(T),P=d[E];if(!P)continue;const{direction:k,speed:O}=D8e(T,P,b,t,p);for(const M 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qn({active:A.current,activeNode:or,event:_r,options:Dn,context:ye,onStart(Sr){const Kn=A.current;if(Kn==null)return;const Mi=P.get(Kn);if(!Mi)return;const{onDragStart:is}=V.current,to={active:{id:Kn,data:Mi.data,rect:G}};bs.unstable_batchedUpdates(()=>{is==null||is(to),C(hl.Initializing),_({type:er.DragStart,initialCoordinates:Sr,active:Kn}),b({type:"onDragStart",event:to})})},onMove(Sr){_({type:er.DragMove,coordinates:Sr})},onEnd:eo(er.DragEnd),onCancel:eo(er.DragCancel)});bs.unstable_batchedUpdates(()=>{F(br),D(Xt.nativeEvent)});function eo(Sr){return async function(){const{active:Mi,collisions:is,over:to,scrollAdjustedTranslate:za}=ye.current;let Ao=null;if(Mi&&za){const{cancelDrop:wr}=V.current;Ao={activatorEvent:_r,active:Mi,collisions:is,delta:za,over:to},Sr===er.DragEnd&&typeof wr=="function"&&await Promise.resolve(wr(Ao))&&(Sr=er.DragCancel)}A.current=null,bs.unstable_batchedUpdates(()=>{_({type:Sr}),C(hl.Uninitialized),vr(null),F(null),D(null);const 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Vs=L.useMemo(()=>({active:U,activeNode:le,activeNodeRect:pe,activatorEvent:B,collisions:Wn,containerNodeRect:ve,dragOverlay:Me,draggableNodes:P,droppableContainers:O,droppableRects:ee,over:Gt,measureDroppableContainers:ie,scrollableAncestors:Bt,scrollableAncestorRects:it,measuringConfiguration:Z,measuringScheduled:se,windowRect:Hn}),[U,le,pe,B,Wn,ve,Me,P,O,ee,Gt,ie,Bt,it,Z,se,Hn]),Ji=L.useMemo(()=>({activatorEvent:B,activators:Yr,active:U,activeNodeRect:pe,ariaDescribedById:{draggable:j},dispatch:_,draggableNodes:P,over:Gt,measureDroppableContainers:ie}),[B,Yr,U,pe,_,j,P,Gt,ie]);return Lt.createElement(Wj.Provider,{value:y},Lt.createElement(jm.Provider,{value:Ji},Lt.createElement(cG.Provider,{value:Vs},Lt.createElement(p2.Provider,{value:Xr},u)),Lt.createElement(h9e,{disabled:(a==null?void 0:a.restoreFocus)===!1})),Lt.createElement(g8e,{...a,hiddenTextDescribedById:j}));function js(){const Xt=(N==null?void 0:N.autoScrollEnabled)===!1,Ot=typeof 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diff --git a/invokeai/frontend/web/dist/assets/menu-11348abc.js b/invokeai/frontend/web/dist/assets/menu-b42141e3.js
similarity index 99%
rename from invokeai/frontend/web/dist/assets/menu-11348abc.js
rename to invokeai/frontend/web/dist/assets/menu-b42141e3.js
index bfcf7978dc..f9c000de8b 100644
--- a/invokeai/frontend/web/dist/assets/menu-11348abc.js
+++ b/invokeai/frontend/web/dist/assets/menu-b42141e3.js
@@ -1 +1 @@
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From 16b956616fdf825bc97588897ae8417e62a421b5 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Wed, 9 Aug 2023 11:22:27 +1000
Subject: [PATCH 130/287] Update version to 3.0.2

---
 invokeai/version/invokeai_version.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/version/invokeai_version.py b/invokeai/version/invokeai_version.py
index bede8666bc..131942e76a 100644
--- a/invokeai/version/invokeai_version.py
+++ b/invokeai/version/invokeai_version.py
@@ -1 +1 @@
-__version__ = "3.0.2a1"
+__version__ = "3.0.2"

From 628df4ec98cc2e258ef686a8a053cec62f4dc8d9 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Wed, 9 Aug 2023 13:00:35 +1000
Subject: [PATCH 131/287] Add updated frontend html file

---
 invokeai/frontend/web/dist/index.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/dist/index.html b/invokeai/frontend/web/dist/index.html
index d9c398de7c..71e57e68c0 100644
--- a/invokeai/frontend/web/dist/index.html
+++ b/invokeai/frontend/web/dist/index.html
@@ -12,7 +12,7 @@
         margin: 0;
       }
     </style>
-    <script type="module" crossorigin src="./assets/index-de589048.js"></script>
+    <script type="module" crossorigin src="./assets/index-dd054634.js"></script>
   </head>
 
   <body dir="ltr">

From c82da330dbbbbb1eb1f9271f445e0ac45c32e8c5 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Wed, 9 Aug 2023 13:19:41 +1000
Subject: [PATCH 132/287] Pin safetensors to 0.3.1

Safetensors 0.3.2 does not ship an ARM64 wheel so install on macOS fails
---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 2ae297a6da..6d6bb054cd 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -77,7 +77,7 @@ dependencies = [
   "realesrgan",
   "requests~=2.28.2",
   "rich~=13.3",
-  "safetensors~=0.3.0",
+  "safetensors==0.3.1",
   "scikit-image~=0.21.0",
   "send2trash",
   "test-tube~=0.7.5",

From 06842f8e0a1be3f43219664895d1fb0288105260 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Wed, 9 Aug 2023 14:27:12 +1000
Subject: [PATCH 133/287] Update to 3.0.2rc1

---
 invokeai/version/invokeai_version.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/version/invokeai_version.py b/invokeai/version/invokeai_version.py
index 131942e76a..1f71ca0010 100644
--- a/invokeai/version/invokeai_version.py
+++ b/invokeai/version/invokeai_version.py
@@ -1 +1 @@
-__version__ = "3.0.2"
+__version__ = "3.0.2rc1"

From 2f68a1a76cdd8367f75b94749ba4dcafe4c6360d Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 9 Aug 2023 09:21:29 -0400
Subject: [PATCH 134/287] use Stalker's simplified LoRA vector-length detection
 code

---
 invokeai/backend/model_management/util.py | 73 ++++-------------------
 1 file changed, 12 insertions(+), 61 deletions(-)

diff --git a/invokeai/backend/model_management/util.py b/invokeai/backend/model_management/util.py
index ece9c96d4c..f435ab79b6 100644
--- a/invokeai/backend/model_management/util.py
+++ b/invokeai/backend/model_management/util.py
@@ -9,15 +9,11 @@ def lora_token_vector_length(checkpoint: dict) -> int:
     :param checkpoint: The checkpoint
     """
 
-    def _handle_unet_key(key, tensor, checkpoint):
+    def _get_shape_1(key, tensor, checkpoint):
         lora_token_vector_length = None
-        if "_attn2_to_k." not in key and "_attn2_to_v." not in key:
-            return lora_token_vector_length
 
         # check lora/locon
-        if ".lora_up.weight" in key:
-            lora_token_vector_length = tensor.shape[0]
-        elif ".lora_down.weight" in key:
+        if ".lora_down.weight" in key:
             lora_token_vector_length = tensor.shape[1]
 
         # check loha (don't worry about hada_t1/hada_t2 as it used only in 4d shapes)
@@ -49,65 +45,20 @@ def lora_token_vector_length(checkpoint: dict) -> int:
 
         return lora_token_vector_length
 
-    def _handle_te_key(key, tensor, checkpoint):
-        lora_token_vector_length = None
-        if "text_model_encoder_layers_" not in key:
-            return lora_token_vector_length
-
-        # skip detect by mlp
-        if "_self_attn_" not in key:
-            return lora_token_vector_length
-
-        # check lora/locon
-        if ".lora_up.weight" in key:
-            lora_token_vector_length = tensor.shape[0]
-        elif ".lora_down.weight" in key:
-            lora_token_vector_length = tensor.shape[1]
-
-        # check loha (don't worry about hada_t1/hada_t2 as it used only in 4d shapes)
-        elif ".hada_w1_a" in key or ".hada_w2_a" in key:
-            lora_token_vector_length = tensor.shape[0]
-        elif ".hada_w1_b" in key or ".hada_w2_b" in key:
-            lora_token_vector_length = tensor.shape[1]
-
-        # check lokr (don't worry about lokr_t2 as it used only in 4d shapes)
-        elif ".lokr_" in key:
-            _lokr_key = key.split(".")[0]
-
-            if _lokr_key + ".lokr_w1" in checkpoint:
-                _lokr_w1 = checkpoint[_lokr_key + ".lokr_w1"]
-            elif _lokr_key + "lokr_w1_b" in checkpoint:
-                _lokr_w1 = checkpoint[_lokr_key + ".lokr_w1_b"]
-            else:
-                return lora_token_vector_length  # unknown format
-
-            if _lokr_key + ".lokr_w2" in checkpoint:
-                _lokr_w2 = checkpoint[_lokr_key + ".lokr_w2"]
-            elif _lokr_key + "lokr_w2_b" in checkpoint:
-                _lokr_w2 = checkpoint[_lokr_key + ".lokr_w2_b"]
-            else:
-                return lora_token_vector_length  # unknown format
-
-            lora_token_vector_length = _lokr_w1.shape[1] * _lokr_w2.shape[1]
-
-        elif ".diff" in key:
-            lora_token_vector_length = tensor.shape[1]
-
-        return lora_token_vector_length
-
     lora_token_vector_length = None
     lora_te1_length = None
     lora_te2_length = None
     for key, tensor in checkpoint.items():
-        if key.startswith("lora_unet_"):
-            lora_token_vector_length = _handle_unet_key(key, tensor, checkpoint)
-        elif key.startswith("lora_te_"):
-            lora_token_vector_length = _handle_te_key(key, tensor, checkpoint)
-
-        elif key.startswith("lora_te1_"):
-            lora_te1_length = _handle_te_key(key, tensor, checkpoint)
-        elif key.startswith("lora_te2_"):
-            lora_te2_length = _handle_te_key(key, tensor, checkpoint)
+        if key.startswith("lora_unet_") and ("_attn2_to_k." in key or "_attn2_to_v." in key):
+            lora_token_vector_length = _get_shape_1(key, tensor, checkpoint)
+        elif key.startswith("lora_te") and "_self_attn_" in key:
+            tmp_length = _get_shape_1(key, tensor, checkpoint)
+            if key.startswith("lora_te_"):
+                lora_token_vector_length = tmp_length
+            elif key.startswith("lora_te1_"):
+                lora_te1_length = tmp_length
+            elif key.startswith("lora_te2_"):
+                lora_te2_length = tmp_length
 
         if lora_te1_length is not None and lora_te2_length is not None:
             lora_token_vector_length = lora_te1_length + lora_te2_length

From 2c2b731386979e467f50089939bc1dea583322a4 Mon Sep 17 00:00:00 2001
From: Eugene Brodsky <ebr@users.noreply.github.com>
Date: Wed, 9 Aug 2023 13:08:59 -0400
Subject: [PATCH 135/287] fix typo

---
 invokeai/frontend/install/import_images.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/install/import_images.py b/invokeai/frontend/install/import_images.py
index ea5a9d2d97..1f68f23607 100644
--- a/invokeai/frontend/install/import_images.py
+++ b/invokeai/frontend/install/import_images.py
@@ -1,5 +1,5 @@
 # Copyright (c) 2023 - The InvokeAI Team
-# Primary Author: David Lovell (github @f412design, discord @techedi)
+# Primary Author: David Lovell (github @f412design, discord @techjedi)
 # co-author, minor tweaks - Lincoln Stein
 
 # pylint: disable=line-too-long

From c8fbaf54b668e99b6ff79f805ebb107d01512dd3 Mon Sep 17 00:00:00 2001
From: Martin Kristiansen <lille.kemiker@gmail.com>
Date: Sun, 6 Aug 2023 01:30:35 -0400
Subject: [PATCH 136/287] Add self.min, not self.max

---
 invokeai/app/invocations/image.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index c0aa7ad5ef..10efaf776d 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -501,7 +501,7 @@ class ImageLerpInvocation(BaseInvocation, PILInvocationConfig):
         image = context.services.images.get_pil_image(self.image.image_name)
 
         image_arr = numpy.asarray(image, dtype=numpy.float32) / 255
-        image_arr = image_arr * (self.max - self.min) + self.max
+        image_arr = image_arr * (self.max - self.min) + self.min
 
         lerp_image = Image.fromarray(numpy.uint8(image_arr))
 

From 17fed1c870e35469de1b7461975aa3bcf8ec6387 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Thu, 10 Aug 2023 05:03:33 +0300
Subject: [PATCH 137/287] Fix merge conflict errors

---
 invokeai/app/invocations/image.py               |  1 -
 invokeai/app/invocations/latent.py              | 17 +----------------
 .../stable_diffusion/diffusers_pipeline.py      |  5 -----
 3 files changed, 1 insertion(+), 22 deletions(-)

diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index ae09a0abfd..697df5c689 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -2,7 +2,6 @@
 
 from typing import Literal, Optional
 
-import cv2
 import numpy
 import cv2
 from PIL import Image, ImageFilter, ImageOps, ImageChops
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 02cee4cfa0..6d746b387d 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -25,7 +25,7 @@ from .controlnet_image_processors import ControlField
 from .image import ImageOutput
 from .model import ModelInfo, UNetField, VaeField
 from ..models.image import ImageCategory, ImageField, ResourceOrigin
-from ...backend.model_management import ModelPatcher
+from ...backend.model_management import ModelPatcher, BaseModelType
 from ...backend.stable_diffusion import PipelineIntermediateState
 from ...backend.stable_diffusion.diffusers_pipeline import (
     ConditioningData,
@@ -35,22 +35,7 @@ from ...backend.stable_diffusion.diffusers_pipeline import (
 )
 from ...backend.stable_diffusion.diffusion.shared_invokeai_diffusion import PostprocessingSettings
 from ...backend.stable_diffusion.schedulers import SCHEDULER_MAP
-from ...backend.model_management import ModelPatcher, BaseModelType
 from ...backend.util.devices import choose_torch_device, torch_dtype, choose_precision
-from ..models.image import ImageCategory, ImageField, ResourceOrigin
-from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext
-from .compel import ConditioningField
-from .controlnet_image_processors import ControlField
-from .image import ImageOutput
-from .model import ModelInfo, UNetField, VaeField
-from invokeai.app.util.controlnet_utils import prepare_control_image
-
-from diffusers.models.attention_processor import (
-    AttnProcessor2_0,
-    LoRAAttnProcessor2_0,
-    LoRAXFormersAttnProcessor,
-    XFormersAttnProcessor,
-)
 
 import torchvision.transforms as T
 from torchvision.transforms.functional import resize as tv_resize
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index f6b0b9a6ae..e5bb1f0f3d 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -5,7 +5,6 @@ import inspect
 import math
 import secrets
 from dataclasses import dataclass, field
-import inspect
 from typing import Any, Callable, Generic, List, Optional, Type, TypeVar, Union
 
 import PIL.Image
@@ -13,14 +12,12 @@ import einops
 import psutil
 import torch
 import torchvision.transforms as T
-from accelerate.utils import set_seed
 from diffusers.models import AutoencoderKL, UNet2DConditionModel
 from diffusers.models.controlnet import ControlNetModel
 from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
 from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import (
     StableDiffusionPipeline,
 )
-
 from diffusers.pipelines.stable_diffusion.safety_checker import (
     StableDiffusionSafetyChecker,
 )
@@ -29,7 +26,6 @@ from diffusers.schedulers.scheduling_utils import SchedulerMixin, SchedulerOutpu
 from diffusers.utils.import_utils import is_xformers_available
 from diffusers.utils.outputs import BaseOutput
 from pydantic import Field
-from torchvision.transforms.functional import resize as tv_resize
 from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
 from typing_extensions import ParamSpec
 
@@ -334,7 +330,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 # diffusers enable sdp automatically
                 return
 
-
         if self.unet.device.type == "cpu" or self.unet.device.type == "mps":
             mem_free = psutil.virtual_memory().free
         elif self.unet.device.type == "cuda":

From e9ec5ab85cb233fe6e776519d6ba2b7cae153231 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Thu, 10 Aug 2023 06:19:22 +0300
Subject: [PATCH 138/287] Apply requested changes

Co-Authored-By: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
---
 invokeai/app/invocations/compel.py | 10 +++++++++-
 invokeai/app/invocations/image.py  | 14 +++++++++-----
 invokeai/app/invocations/latent.py | 30 ++++++++++++++++++++----------
 invokeai/app/util/step_callback.py |  5 ++---
 4 files changed, 40 insertions(+), 19 deletions(-)

diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index 8ecd22e2d7..484d813dea 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -157,7 +157,15 @@ class CompelInvocation(BaseInvocation):
 
 
 class SDXLPromptInvocationBase:
-    def run_clip_compel(self, context, clip_field, prompt, get_pooled, lora_prefix, zero_on_empty):
+    def run_clip_compel(
+        self,
+        context: InvocationContext,
+        clip_field: ClipField,
+        prompt: str,
+        get_pooled: bool,
+        lora_prefix: str,
+        zero_on_empty: bool,
+    ):
         tokenizer_info = context.services.model_manager.get_model(
             **clip_field.tokenizer.dict(),
             context=context,
diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index 697df5c689..9e5cb9ecef 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -705,12 +705,16 @@ class MaskEdgeInvocation(BaseInvocation, PILInvocationConfig):
 
 
 class ColorCorrectInvocation(BaseInvocation, PILInvocationConfig):
+    """
+    Shifts the colors of a target image to match the reference image, optionally 
+    using a mask to only color-correct certain regions of the target image.
+    """
 
     type: Literal["color_correct"] = "color_correct"
 
-    init: Optional[ImageField] = Field(default=None, description="Initial image")
-    result: Optional[ImageField] = Field(default=None, description="Resulted image")
-    mask: Optional[ImageField] = Field(default=None, description="Mask image")
+    image: Optional[ImageField] = Field(default=None, description="The image to color-correct")
+    reference: Optional[ImageField] = Field(default=None, description="Reference image for color-correction")
+    mask: Optional[ImageField] = Field(default=None, description="Mask to use when applying color-correction")
     mask_blur_radius: float = Field(default=8, description="Mask blur radius")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
@@ -721,11 +725,11 @@ class ColorCorrectInvocation(BaseInvocation, PILInvocationConfig):
             ).convert("L")
 
         init_image = context.services.images.get_pil_image(
-            self.init.image_name
+            self.reference.image_name
         )
 
         result = context.services.images.get_pil_image(
-            self.result.image_name
+            self.image.image_name
         ).convert("RGBA")
 
 
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 6d746b387d..c24e9aeba1 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -336,7 +336,9 @@ class TextToLatentsInvocation(BaseInvocation):
     def invoke(self, context: InvocationContext) -> LatentsOutput:
         with SilenceWarnings():
             noise = context.services.latents.get(self.noise.latents_name)
-            seed = self.noise.seed or 0
+            seed = self.noise.seed
+            if seed is None:
+                seed = 0
 
             # Get the source node id (we are invoking the prepared node)
             graph_execution_state = context.services.graph_execution_manager.get(context.graph_execution_state_id)
@@ -420,6 +422,7 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
     # Inputs
     noise: Optional[LatentsField] = Field(description="The noise to use (test override for future optional)")
 
+    # denoising_start = 1 - strength
     denoising_start: float = Field(default=0.0, ge=0, le=1, description="")
     #denoising_end: float = Field(default=1.0, ge=0, le=1, description="")
 
@@ -462,16 +465,23 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> LatentsOutput:
         with SilenceWarnings():  # this quenches NSFW nag from diffusers
-            latent = context.services.latents.get(self.latents.latents_name)
-            seed = self.latents.seed or 0
-
+            seed = None
             noise = None
             if self.noise is not None:
                 noise = context.services.latents.get(self.noise.latents_name)
-                if self.noise.seed is not None:
-                    seed = self.noise.seed
+                seed = self.noise.seed
 
-            mask = self.prep_mask_tensor(self.mask, context, latent)
+            if self.latents is not None:
+                latents = context.services.latents.get(self.latents.latents_name)
+                if seed is None:
+                    seed = self.latents.seed
+            else:
+                latents = torch.zeros_like(noise)
+
+            if seed is None:
+                seed = 0
+
+            mask = self.prep_mask_tensor(self.mask, context, latents)
 
             # Get the source node id (we are invoking the prepared node)
             graph_execution_state = context.services.graph_execution_manager.get(context.graph_execution_state_id)
@@ -497,7 +507,7 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
             with ExitStack() as exit_stack, ModelPatcher.apply_lora_unet(
                 unet_info.context.model, _lora_loader()
             ), unet_info as unet:
-                latent = latent.to(device=unet.device, dtype=unet.dtype)
+                latents = latents.to(device=unet.device, dtype=unet.dtype)
                 if noise is not None:
                     noise = noise.to(device=unet.device, dtype=unet.dtype)
                 if mask is not None:
@@ -516,7 +526,7 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
                     model=pipeline,
                     context=context,
                     control_input=self.control,
-                    latents_shape=latent.shape,
+                    latents_shape=latents.shape,
                     # do_classifier_free_guidance=(self.cfg_scale >= 1.0))
                     do_classifier_free_guidance=True,
                     exit_stack=exit_stack,
@@ -531,7 +541,7 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
                 )
 
                 result_latents, result_attention_map_saver = pipeline.latents_from_embeddings(
-                    latents=latent,
+                    latents=latents,
                     timesteps=timesteps,
                     noise=noise,
                     seed=seed,
diff --git a/invokeai/app/util/step_callback.py b/invokeai/app/util/step_callback.py
index 5770b61ec9..3cadfa1c12 100644
--- a/invokeai/app/util/step_callback.py
+++ b/invokeai/app/util/step_callback.py
@@ -58,6 +58,8 @@ def stable_diffusion_step_callback(
     # TODO: only output a preview image when requested
 
     if base_model in [BaseModelType.StableDiffusionXL, BaseModelType.StableDiffusionXLRefiner]:
+        # fast latents preview matrix for sdxl
+        # generated by @StAlKeR7779
         sdxl_latent_rgb_factors = torch.tensor(
             [
                 #   R        G        B
@@ -72,9 +74,6 @@ def stable_diffusion_step_callback(
 
         sdxl_smooth_matrix = torch.tensor(
             [
-                # [ 0.0478,  0.1285,  0.0478],
-                # [ 0.1285,  0.2948,  0.1285],
-                # [ 0.0478,  0.1285,  0.0478],
                 [0.0358, 0.0964, 0.0358],
                 [0.0964, 0.4711, 0.0964],
                 [0.0358, 0.0964, 0.0358],

From 49cce1eec65268a782bdf359ee36ea93d1dc3639 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 9 Aug 2023 00:13:59 +1000
Subject: [PATCH 139/287] feat: add `app_version` to image metadata

---
 invokeai/app/invocations/metadata.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/invokeai/app/invocations/metadata.py b/invokeai/app/invocations/metadata.py
index f91e6cc4c7..4f51bf10b8 100644
--- a/invokeai/app/invocations/metadata.py
+++ b/invokeai/app/invocations/metadata.py
@@ -2,6 +2,7 @@ from typing import Literal, Optional, Union
 
 from pydantic import Field
 
+from ...version import __version__
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
@@ -23,6 +24,7 @@ class LoRAMetadataField(BaseModelExcludeNull):
 class CoreMetadata(BaseModelExcludeNull):
     """Core generation metadata for an image generated in InvokeAI."""
 
+    app_version: str = Field(default=__version__, description="The version of InvokeAI used to generate this image")
     generation_mode: str = Field(
         description="The generation mode that output this image",
     )

From da0efeaa7f485f67dc344dd6aea1f4dd05e50045 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 10 Aug 2023 15:20:37 +1000
Subject: [PATCH 140/287] fix(ui): fix canvas model switching

There was no check at all to see if the canvas had a valid model already selected. The first model in the list was selected every time.

Now, we check if its valid. If not, we go through the logic to try and pick the first valid model.

If there are no valid models, or there was a problem listing models, the model selection is cleared.
---
 .../listeners/tabChanged.ts                   | 63 ++++++++++---------
 1 file changed, 33 insertions(+), 30 deletions(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/tabChanged.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/tabChanged.ts
index 0569827859..6d3e599ae2 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/tabChanged.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/tabChanged.ts
@@ -1,55 +1,58 @@
 import { modelChanged } from 'features/parameters/store/generationSlice';
 import { setActiveTab } from 'features/ui/store/uiSlice';
-import { forEach } from 'lodash-es';
 import { NON_REFINER_BASE_MODELS } from 'services/api/constants';
-import {
-  MainModelConfigEntity,
-  modelsApi,
-} from 'services/api/endpoints/models';
+import { mainModelsAdapter, modelsApi } from 'services/api/endpoints/models';
 import { startAppListening } from '..';
 
 export const addTabChangedListener = () => {
   startAppListening({
     actionCreator: setActiveTab,
-    effect: (action, { getState, dispatch }) => {
+    effect: async (action, { getState, dispatch }) => {
       const activeTabName = action.payload;
       if (activeTabName === 'unifiedCanvas') {
-        // grab the models from RTK Query cache
-        const { data } = modelsApi.endpoints.getMainModels.select(
-          NON_REFINER_BASE_MODELS
-        )(getState());
+        const currentBaseModel = getState().generation.model?.base_model;
 
-        if (!data) {
-          // no models yet, so we can't do anything
-          dispatch(modelChanged(null));
+        if (currentBaseModel && ['sd-1', 'sd-2'].includes(currentBaseModel)) {
+          // if we're already on a valid model, no change needed
           return;
         }
 
-        // need to filter out all the invalid canvas models (currently, this is just sdxl)
-        const validCanvasModels: MainModelConfigEntity[] = [];
+        try {
+          // just grab fresh models
+          const modelsRequest = dispatch(
+            modelsApi.endpoints.getMainModels.initiate(NON_REFINER_BASE_MODELS)
+          );
+          const models = await modelsRequest.unwrap();
+          // cancel this cache subscription
+          modelsRequest.unsubscribe();
 
-        forEach(data.entities, (entity) => {
-          if (!entity) {
+          if (!models.ids.length) {
+            // no valid canvas models
+            dispatch(modelChanged(null));
             return;
           }
-          if (['sd-1', 'sd-2'].includes(entity.base_model)) {
-            validCanvasModels.push(entity);
+
+          // need to filter out all the invalid canvas models (currently sdxl & refiner)
+          const validCanvasModels = mainModelsAdapter
+            .getSelectors()
+            .selectAll(models)
+            .filter((model) => ['sd-1', 'sd-2'].includes(model.base_model));
+
+          const firstValidCanvasModel = validCanvasModels[0];
+
+          if (!firstValidCanvasModel) {
+            // no valid canvas models
+            dispatch(modelChanged(null));
+            return;
           }
-        });
 
-        // this could still be undefined even tho TS doesn't say so
-        const firstValidCanvasModel = validCanvasModels[0];
+          const { base_model, model_name, model_type } = firstValidCanvasModel;
 
-        if (!firstValidCanvasModel) {
-          // uh oh, we have no models that are valid for canvas
+          dispatch(modelChanged({ base_model, model_name, model_type }));
+        } catch {
+          // network request failed, bail
           dispatch(modelChanged(null));
-          return;
         }
-
-        // only store the model name and base model in redux
-        const { base_model, model_name, model_type } = firstValidCanvasModel;
-
-        dispatch(modelChanged({ base_model, model_name, model_type }));
       }
     },
   });

From 3cd05cf6bfd02ba1666a14fe027d04cca756068d Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 10 Aug 2023 15:31:29 +1000
Subject: [PATCH 141/287] fix(ui): fix lora sort

was sorting with disabled at top of list instead of bottom

fixes #4217
---
 .../web/src/features/lora/components/ParamLoraSelect.tsx        | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/lora/components/ParamLoraSelect.tsx b/invokeai/frontend/web/src/features/lora/components/ParamLoraSelect.tsx
index 631047aaab..6771a8873e 100644
--- a/invokeai/frontend/web/src/features/lora/components/ParamLoraSelect.tsx
+++ b/invokeai/frontend/web/src/features/lora/components/ParamLoraSelect.tsx
@@ -59,7 +59,7 @@ const ParamLoRASelect = () => {
       a.label && b.label ? (a.label?.localeCompare(b.label) ? 1 : -1) : -1
     );
 
-    return data.sort((a, b) => (a.disabled && !b.disabled ? -1 : 1));
+    return data.sort((a, b) => (a.disabled && !b.disabled ? 1 : -1));
   }, [loras, loraModels, currentMainModel?.base_model]);
 
   const handleChange = useCallback(

From 7bad9bcf5322bbd10286925dcf3796960f80c434 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 9 Aug 2023 13:38:58 -0400
Subject: [PATCH 142/287] update dependencies and docs to cu118

---
 README.md                                     |  2 +-
 docs/installation/010_INSTALL_AUTOMATED.md    |  2 +-
 docs/installation/020_INSTALL_MANUAL.md       |  6 +--
 .../installation/030_INSTALL_CUDA_AND_ROCM.md | 12 ++---
 docs/installation/070_INSTALL_XFORMERS.md     | 47 +++++++++++--------
 installer/lib/installer.py                    |  4 +-
 6 files changed, 41 insertions(+), 32 deletions(-)

diff --git a/README.md b/README.md
index 7b3f95ab10..f10c372545 100644
--- a/README.md
+++ b/README.md
@@ -161,7 +161,7 @@ the command `npm install -g yarn` if needed)
     _For Windows/Linux with an NVIDIA GPU:_
 
     ```terminal
-    pip install "InvokeAI[xformers]" --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu117
+    pip install "InvokeAI[xformers]" --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu118
     ```
 
     _For Linux with an AMD GPU:_
diff --git a/docs/installation/010_INSTALL_AUTOMATED.md b/docs/installation/010_INSTALL_AUTOMATED.md
index 07a88d5d1b..0937c07bca 100644
--- a/docs/installation/010_INSTALL_AUTOMATED.md
+++ b/docs/installation/010_INSTALL_AUTOMATED.md
@@ -471,7 +471,7 @@ Then type the following commands:
 
 === "NVIDIA System"
     ```bash
-    pip install torch torchvision --force-reinstall --extra-index-url https://download.pytorch.org/whl/cu117
+    pip install torch torchvision --force-reinstall --extra-index-url https://download.pytorch.org/whl/cu118
     pip install xformers
     ```
 
diff --git a/docs/installation/020_INSTALL_MANUAL.md b/docs/installation/020_INSTALL_MANUAL.md
index 84f19da9bf..a68e5b1414 100644
--- a/docs/installation/020_INSTALL_MANUAL.md
+++ b/docs/installation/020_INSTALL_MANUAL.md
@@ -148,7 +148,7 @@ manager, please follow these steps:
     === "CUDA (NVidia)"
 
         ```bash
-        pip install "InvokeAI[xformers]" --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu117
+        pip install "InvokeAI[xformers]" --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu118
         ```
 
     === "ROCm (AMD)"
@@ -312,7 +312,7 @@ installation protocol (important!)
 
     === "CUDA (NVidia)"
         ```bash
-        pip install -e .[xformers] --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu117
+        pip install -e .[xformers] --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu118
         ```
 
     === "ROCm (AMD)"
@@ -356,7 +356,7 @@ you can do so using this unsupported recipe:
 mkdir ~/invokeai
 conda create -n invokeai python=3.10
 conda activate invokeai
-pip install InvokeAI[xformers] --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu117
+pip install InvokeAI[xformers] --use-pep517 --extra-index-url https://download.pytorch.org/whl/cu118
 invokeai-configure --root ~/invokeai
 invokeai --root ~/invokeai --web
 ```
diff --git a/docs/installation/030_INSTALL_CUDA_AND_ROCM.md b/docs/installation/030_INSTALL_CUDA_AND_ROCM.md
index 3d3445e3a0..314043f538 100644
--- a/docs/installation/030_INSTALL_CUDA_AND_ROCM.md
+++ b/docs/installation/030_INSTALL_CUDA_AND_ROCM.md
@@ -34,11 +34,11 @@ directly from NVIDIA. **Do not try to install Ubuntu's
 nvidia-cuda-toolkit package. It is out of date and will cause
 conflicts among the NVIDIA driver and binaries.**
 
-Go to [CUDA Toolkit 11.7
-Downloads](https://developer.nvidia.com/cuda-11-7-0-download-archive),
-and use the target selection wizard to choose your operating system,
-hardware platform, and preferred installation method (e.g. "local"
-versus "network").
+Go to [CUDA Toolkit
+Downloads](https://developer.nvidia.com/cuda-downloads), and use the
+target selection wizard to choose your operating system, hardware
+platform, and preferred installation method (e.g. "local" versus
+"network").
 
 This will provide you with a downloadable install file or, depending
 on your choices, a recipe for downloading and running a install shell
@@ -61,7 +61,7 @@ Runtime Site](https://developer.nvidia.com/nvidia-container-runtime)
 
 When installing torch and torchvision manually with `pip`, remember to provide
 the argument `--extra-index-url
-https://download.pytorch.org/whl/cu117` as described in the [Manual
+https://download.pytorch.org/whl/cu118` as described in the [Manual
 Installation Guide](020_INSTALL_MANUAL.md).
 
 ## :simple-amd: ROCm
diff --git a/docs/installation/070_INSTALL_XFORMERS.md b/docs/installation/070_INSTALL_XFORMERS.md
index be54a3ee86..849f9d1ddc 100644
--- a/docs/installation/070_INSTALL_XFORMERS.md
+++ b/docs/installation/070_INSTALL_XFORMERS.md
@@ -28,18 +28,21 @@ command line, then just be sure to activate it's virtual environment.
 Then run the following three commands:
 
 ```sh
-pip install xformers==0.0.16rc425
-pip install triton
+pip install xformers~=0.0.19
+pip install triton    # WON'T WORK ON WINDOWS
 python -m xformers.info output
 ```
 
 The first command installs `xformers`, the second installs the
 `triton` training accelerator, and the third prints out the `xformers`
-installation status. If all goes well, you'll see a report like the
+installation status. On Windows, please omit the `triton` package,
+which is not available on that platform.
+
+If all goes well, you'll see a report like the
 following:
 
 ```sh
-xFormers 0.0.16rc425
+xFormers 0.0.20
 memory_efficient_attention.cutlassF:               available
 memory_efficient_attention.cutlassB:               available
 memory_efficient_attention.flshattF:               available
@@ -48,22 +51,28 @@ memory_efficient_attention.smallkF:                available
 memory_efficient_attention.smallkB:                available
 memory_efficient_attention.tritonflashattF:        available
 memory_efficient_attention.tritonflashattB:        available
+indexing.scaled_index_addF:                        available
+indexing.scaled_index_addB:                        available
+indexing.index_select:                             available
+swiglu.dual_gemm_silu:                             available
+swiglu.gemm_fused_operand_sum:                     available
 swiglu.fused.p.cpp:                                available
 is_triton_available:                               True
 is_functorch_available:                            False
-pytorch.version:                                   1.13.1+cu117
+pytorch.version:                                   2.0.1+cu118
 pytorch.cuda:                                      available
-gpu.compute_capability:                            8.6
-gpu.name:                                          NVIDIA RTX A2000 12GB
+gpu.compute_capability:                            8.9
+gpu.name:                                          NVIDIA GeForce RTX 4070
 build.info:                                        available
-build.cuda_version:                                1107
-build.python_version:                              3.10.9
-build.torch_version:                               1.13.1+cu117
+build.cuda_version:                                1108
+build.python_version:                              3.10.11
+build.torch_version:                               2.0.1+cu118
 build.env.TORCH_CUDA_ARCH_LIST:                    5.0+PTX 6.0 6.1 7.0 7.5 8.0 8.6
 build.env.XFORMERS_BUILD_TYPE:                     Release
 build.env.XFORMERS_ENABLE_DEBUG_ASSERTIONS:        None
 build.env.NVCC_FLAGS:                              None
-build.env.XFORMERS_PACKAGE_FROM:                   wheel-v0.0.16rc425
+build.env.XFORMERS_PACKAGE_FROM:                   wheel-v0.0.20
+build.nvcc_version:                                11.8.89
 source.privacy:                                    open source
 ```
 
@@ -83,14 +92,14 @@ installed from source. These instructions were written for a system
 running Ubuntu 22.04, but other Linux distributions should be able to
 adapt this recipe.
 
-#### 1. Install CUDA Toolkit 11.7
+#### 1. Install CUDA Toolkit 11.8
 
 You will need the CUDA developer's toolkit in order to compile and
 install xFormers. **Do not try to install Ubuntu's nvidia-cuda-toolkit
 package.** It is out of date and will cause conflicts among the NVIDIA
 driver and binaries. Instead install the CUDA Toolkit package provided
-by NVIDIA itself. Go to [CUDA Toolkit 11.7
-Downloads](https://developer.nvidia.com/cuda-11-7-0-download-archive)
+by NVIDIA itself. Go to [CUDA Toolkit 11.8
+Downloads](https://developer.nvidia.com/cuda-11-8-0-download-archive)
 and use the target selection wizard to choose your platform and Linux
 distribution. Select an installer type of "runfile (local)" at the
 last step.
@@ -101,17 +110,17 @@ example, the install script recipe for Ubuntu 22.04 running on a
 x86_64 system is:
 
 ```
-wget https://developer.download.nvidia.com/compute/cuda/11.7.0/local_installers/cuda_11.7.0_515.43.04_linux.run
-sudo sh cuda_11.7.0_515.43.04_linux.run
+wget https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run
+sudo sh cuda_11.8.0_520.61.05_linux.run
 ```
 
 Rather than cut-and-paste this example, We recommend that you walk
 through the toolkit wizard in order to get the most up to date
 installer for your system.
 
-#### 2. Confirm/Install pyTorch 1.13 with CUDA 11.7 support
+#### 2. Confirm/Install pyTorch 2.01 with CUDA 11.8 support
 
-If you are using InvokeAI 2.3 or higher, these will already be
+If you are using InvokeAI 3.0.2 or higher, these will already be
 installed. If not, you can check whether you have the needed libraries
 using a quick command. Activate the invokeai virtual environment,
 either by entering the "developer's console", or manually with a
@@ -124,7 +133,7 @@ Then run the command:
 python -c 'exec("import torch\nprint(torch.__version__)")'
 ```
 
-If it prints __1.13.1+cu117__ you're good. If not, you can install the
+If it prints __1.13.1+cu118__ you're good. If not, you can install the
 most up to date libraries with this command:
 
 ```sh
diff --git a/installer/lib/installer.py b/installer/lib/installer.py
index 545d99ab0b..f8bd72d495 100644
--- a/installer/lib/installer.py
+++ b/installer/lib/installer.py
@@ -463,10 +463,10 @@ def get_torch_source() -> (Union[str, None], str):
             url = "https://download.pytorch.org/whl/cpu"
 
     if device == "cuda":
-        url = "https://download.pytorch.org/whl/cu117"
+        url = "https://download.pytorch.org/whl/cu118"
         optional_modules = "[xformers,onnx-cuda]"
     if device == "cuda_and_dml":
-        url = "https://download.pytorch.org/whl/cu117"
+        url = "https://download.pytorch.org/whl/cu118"
         optional_modules = "[xformers,onnx-directml]"
 
     # in all other cases, Torch wheels should be coming from PyPi as of Torch 1.13

From 6c8e898f099c8bd95b15b97ab4badbffddbb8463 Mon Sep 17 00:00:00 2001
From: Kent Keirsey <31807370+hipsterusername@users.noreply.github.com>
Date: Thu, 10 Aug 2023 16:00:33 -0400
Subject: [PATCH 143/287] Update scripts/verify_checkpoint_template.py

Co-authored-by: Eugene Brodsky <ebr@users.noreply.github.com>
---
 scripts/verify_checkpoint_template.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/verify_checkpoint_template.py b/scripts/verify_checkpoint_template.py
index 68ed72037e..15194290f5 100755
--- a/scripts/verify_checkpoint_template.py
+++ b/scripts/verify_checkpoint_template.py
@@ -12,7 +12,7 @@ from pathlib import Path
 
 from invokeai.backend.model_management.models.base import read_checkpoint_meta
 
-parser = argparse.ArgumentParser(description="Create a .json template from checkpoint/safetensors model")
+parser = argparse.ArgumentParser(description="Compare a checkpoint/safetensors file to a JSON metadata template.")
 parser.add_argument("--checkpoint", "--in", type=Path, help="Path to the input checkpoint/safetensors file")
 parser.add_argument("--template", "--out", type=Path, help="Path to the template .json file to match against")
 

From a969707e4569201cf6fab297e8734fb312337448 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 9 Aug 2023 10:52:29 -0400
Subject: [PATCH 144/287] prevent vae: '' from crashing model

---
 invokeai/app/api/routers/models.py                       | 6 +++++-
 invokeai/backend/model_management/model_manager.py       | 2 +-
 tests/test_model_manager.py                              | 9 +++++++++
 .../test_model_manager/configs/relative_sub.models.yaml  | 7 +++++++
 4 files changed, 22 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/api/routers/models.py b/invokeai/app/api/routers/models.py
index 2f59f1dd0f..b6c1edbbe1 100644
--- a/invokeai/app/api/routers/models.py
+++ b/invokeai/app/api/routers/models.py
@@ -104,8 +104,12 @@ async def update_model(
             ):  # model manager moved model path during rename - don't overwrite it
                 info.path = new_info.get("path")
 
+        # replace empty string values with None/null to avoid phenomenon of vae: ''
+        info_dict = info.dict()
+        info_dict = {x: info_dict[x] if info_dict[x] else None for x in info_dict.keys()}
+
         ApiDependencies.invoker.services.model_manager.update_model(
-            model_name=model_name, base_model=base_model, model_type=model_type, model_attributes=info.dict()
+            model_name=model_name, base_model=base_model, model_type=model_type, model_attributes=info_dict
         )
 
         model_raw = ApiDependencies.invoker.services.model_manager.list_model(
diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index 6664d32540..adc3aaa661 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -526,7 +526,7 @@ class ModelManager(object):
         # Does the config explicitly override the submodel?
         if submodel_type is not None and hasattr(model_config, submodel_type):
             submodel_path = getattr(model_config, submodel_type)
-            if submodel_path is not None:
+            if submodel_path is not None and len(submodel_path) > 0:
                 model_path = getattr(model_config, submodel_type)
                 is_submodel_override = True
 
diff --git a/tests/test_model_manager.py b/tests/test_model_manager.py
index 4314bad595..4aa2c4d3b2 100644
--- a/tests/test_model_manager.py
+++ b/tests/test_model_manager.py
@@ -7,6 +7,7 @@ from invokeai.backend import ModelManager, BaseModelType, ModelType, SubModelTyp
 
 BASIC_MODEL_NAME = ("SDXL base", BaseModelType.StableDiffusionXL, ModelType.Main)
 VAE_OVERRIDE_MODEL_NAME = ("SDXL with VAE", BaseModelType.StableDiffusionXL, ModelType.Main)
+VAE_NULL_OVERRIDE_MODEL_NAME = ("SDXL with empty VAE", BaseModelType.StableDiffusionXL, ModelType.Main)
 
 
 @pytest.fixture
@@ -36,3 +37,11 @@ def test_get_model_path_for_overridden_vae(model_manager: ModelManager, datadir:
     expected_vae_path = datadir / "models" / "sdxl" / "vae" / "sdxl-vae-fp16-fix"
     assert vae_model_path == expected_vae_path
     assert is_override
+
+
+def test_get_model_path_for_null_overridden_vae(model_manager: ModelManager, datadir: Path):
+    model_config = model_manager._get_model_config(
+        VAE_NULL_OVERRIDE_MODEL_NAME[1], VAE_NULL_OVERRIDE_MODEL_NAME[0], VAE_NULL_OVERRIDE_MODEL_NAME[2]
+    )
+    vae_model_path, is_override = model_manager._get_model_path(model_config, SubModelType.Vae)
+    assert not is_override
diff --git a/tests/test_model_manager/configs/relative_sub.models.yaml b/tests/test_model_manager/configs/relative_sub.models.yaml
index 3ec7a3adff..2e26710d13 100644
--- a/tests/test_model_manager/configs/relative_sub.models.yaml
+++ b/tests/test_model_manager/configs/relative_sub.models.yaml
@@ -13,3 +13,10 @@ sdxl/main/SDXL with VAE:
   vae: sdxl/vae/sdxl-vae-fp16-fix/
   variant: normal
   format: diffusers
+
+sdxl/main/SDXL with empty VAE:
+  path: sdxl/main/SDXL base 1_0
+  description: SDXL with customized VAE
+  vae: ''
+  variant: normal
+  format: diffusers

From 1bfe9835cf11d0683fc094160b5303d73684143d Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 9 Aug 2023 14:55:02 -0400
Subject: [PATCH 145/287] clip cache settings to permissible values; remove
 redundant imports in install __init__ file

---
 invokeai/backend/install/invokeai_configure.py  | 15 ++++++++++++---
 invokeai/backend/install/migrate_to_3.py        |  1 -
 invokeai/frontend/install/__init__.py           |  3 ---
 invokeai/frontend/install/invokeai_configure.py |  2 +-
 pyproject.toml                                  |  8 ++++----
 5 files changed, 17 insertions(+), 12 deletions(-)

diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py
index 6931b6e41f..e08713584a 100755
--- a/invokeai/backend/install/invokeai_configure.py
+++ b/invokeai/backend/install/invokeai_configure.py
@@ -21,7 +21,6 @@ from argparse import Namespace
 from enum import Enum
 from pathlib import Path
 from shutil import get_terminal_size
-from typing import get_type_hints
 from urllib import request
 
 import npyscreen
@@ -399,7 +398,7 @@ Use cursor arrows to make a checkbox selection, and space to toggle.
         self.max_cache_size = self.add_widget_intelligent(
             IntTitleSlider,
             name="RAM cache size (GB). Make this at least large enough to hold a single full model.",
-            value=old_opts.max_cache_size,
+            value=clip(old_opts.max_cache_size, range=(3.0, MAX_RAM)),
             out_of=MAX_RAM,
             lowest=3,
             begin_entry_at=6,
@@ -418,7 +417,7 @@ Use cursor arrows to make a checkbox selection, and space to toggle.
             self.nextrely -= 1
             self.max_vram_cache_size = self.add_widget_intelligent(
                 npyscreen.Slider,
-                value=old_opts.max_vram_cache_size,
+                value=clip(old_opts.max_vram_cache_size, range=(0, MAX_VRAM)),
                 out_of=round(MAX_VRAM * 2) / 2,
                 lowest=0.0,
                 relx=8,
@@ -596,6 +595,16 @@ def default_user_selections(program_opts: Namespace) -> InstallSelections:
     )
 
 
+# -------------------------------------
+def clip(value: float, range: tuple[float, float]) -> float:
+    minimum, maximum = range
+    if value < minimum:
+        value = minimum
+    if value > maximum:
+        value = maximum
+    return value
+
+
 # -------------------------------------
 def initialize_rootdir(root: Path, yes_to_all: bool = False):
     logger.info("Initializing InvokeAI runtime directory")
diff --git a/invokeai/backend/install/migrate_to_3.py b/invokeai/backend/install/migrate_to_3.py
index 9152e46951..3f360f291d 100644
--- a/invokeai/backend/install/migrate_to_3.py
+++ b/invokeai/backend/install/migrate_to_3.py
@@ -591,7 +591,6 @@ script, which will perform a full upgrade in place.""",
     # TODO: revisit - don't rely on invokeai.yaml to exist yet!
     dest_is_setup = (dest_root / "models/core").exists() and (dest_root / "databases").exists()
     if not dest_is_setup:
-        import invokeai.frontend.install.invokeai_configure
         from invokeai.backend.install.invokeai_configure import initialize_rootdir
 
         initialize_rootdir(dest_root, True)
diff --git a/invokeai/frontend/install/__init__.py b/invokeai/frontend/install/__init__.py
index fb8cdff1b3..2a248eb49f 100644
--- a/invokeai/frontend/install/__init__.py
+++ b/invokeai/frontend/install/__init__.py
@@ -1,6 +1,3 @@
 """
 Initialization file for invokeai.frontend.config
 """
-from .invokeai_configure import main as invokeai_configure
-from .invokeai_update import main as invokeai_update
-from .model_install import main as invokeai_model_install
diff --git a/invokeai/frontend/install/invokeai_configure.py b/invokeai/frontend/install/invokeai_configure.py
index e087e4f40f..157d57fafc 100644
--- a/invokeai/frontend/install/invokeai_configure.py
+++ b/invokeai/frontend/install/invokeai_configure.py
@@ -1,4 +1,4 @@
 """
 Wrapper for invokeai.backend.configure.invokeai_configure
 """
-from ...backend.install.invokeai_configure import main
+from ...backend.install.invokeai_configure import main as invokeai_configure
diff --git a/pyproject.toml b/pyproject.toml
index 506850fd4c..8fb2e7aaa7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -118,7 +118,7 @@ dependencies = [
 [project.scripts]
 
 # legacy entrypoints; provided for backwards compatibility
-"configure_invokeai.py" = "invokeai.frontend.install:invokeai_configure"
+"configure_invokeai.py" = "invokeai.frontend.install.invokeai_configure:invokeai_configure"
 "textual_inversion.py" = "invokeai.frontend.training:invokeai_textual_inversion"
 
 # shortcut commands to start cli and web
@@ -130,12 +130,12 @@ dependencies = [
 "invokeai-web" = "invokeai.app.api_app:invoke_api"
 
 # full commands
-"invokeai-configure" = "invokeai.frontend.install:invokeai_configure"
+"invokeai-configure" = "invokeai.frontend.install.invokeai_configure:invokeai_configure"
 "invokeai-merge" = "invokeai.frontend.merge:invokeai_merge_diffusers"
 "invokeai-ti" = "invokeai.frontend.training:invokeai_textual_inversion"
-"invokeai-model-install" = "invokeai.frontend.install:invokeai_model_install"
+"invokeai-model-install" = "invokeai.frontend.install.model_install:main"
 "invokeai-migrate3" = "invokeai.backend.install.migrate_to_3:main"
-"invokeai-update" = "invokeai.frontend.install:invokeai_update"
+"invokeai-update" = "invokeai.frontend.install.invokeai_update:main"
 "invokeai-metadata" = "invokeai.frontend.CLI.sd_metadata:print_metadata"
 "invokeai-node-cli" = "invokeai.app.cli_app:invoke_cli"
 "invokeai-node-web" = "invokeai.app.api_app:invoke_api"

From d0fee93aac1d56bf9b1166037c8e443fb43f8fab Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 9 Aug 2023 16:08:36 -0400
Subject: [PATCH 146/287] round slider values to nice numbers

---
 .../backend/install/invokeai_configure.py     | 28 +++++++++++++------
 1 file changed, 19 insertions(+), 9 deletions(-)

diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py
index e08713584a..6996b913c2 100755
--- a/invokeai/backend/install/invokeai_configure.py
+++ b/invokeai/backend/install/invokeai_configure.py
@@ -395,13 +395,23 @@ Use cursor arrows to make a checkbox selection, and space to toggle.
             max_width=80,
             scroll_exit=True,
         )
-        self.max_cache_size = self.add_widget_intelligent(
-            IntTitleSlider,
+        self.nextrely += 1
+        self.add_widget_intelligent(
+            npyscreen.TitleFixedText,
             name="RAM cache size (GB). Make this at least large enough to hold a single full model.",
-            value=clip(old_opts.max_cache_size, range=(3.0, MAX_RAM)),
-            out_of=MAX_RAM,
-            lowest=3,
-            begin_entry_at=6,
+            begin_entry_at=0,
+            editable=False,
+            color="CONTROL",
+            scroll_exit=True,
+        )
+        self.nextrely -= 1
+        self.max_cache_size = self.add_widget_intelligent(
+            npyscreen.Slider,
+            value=clip(old_opts.max_cache_size, range=(3.0, MAX_RAM), step=0.5),
+            out_of=round(MAX_RAM),
+            lowest=0.0,
+            step=0.5,
+            relx=8,
             scroll_exit=True,
         )
         if HAS_CUDA:
@@ -417,7 +427,7 @@ Use cursor arrows to make a checkbox selection, and space to toggle.
             self.nextrely -= 1
             self.max_vram_cache_size = self.add_widget_intelligent(
                 npyscreen.Slider,
-                value=clip(old_opts.max_vram_cache_size, range=(0, MAX_VRAM)),
+                value=clip(old_opts.max_vram_cache_size, range=(0, MAX_VRAM), step=0.25),
                 out_of=round(MAX_VRAM * 2) / 2,
                 lowest=0.0,
                 relx=8,
@@ -596,13 +606,13 @@ def default_user_selections(program_opts: Namespace) -> InstallSelections:
 
 
 # -------------------------------------
-def clip(value: float, range: tuple[float, float]) -> float:
+def clip(value: float, range: tuple[float, float], step: float) -> float:
     minimum, maximum = range
     if value < minimum:
         value = minimum
     if value > maximum:
         value = maximum
-    return value
+    return round(value / step) * step
 
 
 # -------------------------------------

From 2ef6a8995b6e01365c84e173888ccbffd3516d06 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Thu, 10 Aug 2023 23:17:09 +0300
Subject: [PATCH 147/287] Temporary force set vae to same precision as unet

---
 invokeai/app/invocations/generate.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/invokeai/app/invocations/generate.py b/invokeai/app/invocations/generate.py
index 88a76e930c..c9d82ae8de 100644
--- a/invokeai/app/invocations/generate.py
+++ b/invokeai/app/invocations/generate.py
@@ -181,6 +181,8 @@ class InpaintInvocation(BaseInvocation):
             device = context.services.model_manager.mgr.cache.execution_device
             dtype = context.services.model_manager.mgr.cache.precision
 
+            vae.to(dtype=unet.dtype)
+
             pipeline = StableDiffusionGeneratorPipeline(
                 vae=vae,
                 text_encoder=None,

From 56023bc725a213981d335dde70f01704c7388cfc Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Fri, 11 Aug 2023 02:08:08 +0300
Subject: [PATCH 148/287] Add support for LyCORIS IA3 format

---
 invokeai/backend/model_management/lora.py     |  5 +-
 .../backend/model_management/models/lora.py   | 88 ++++++++++---------
 invokeai/backend/model_management/util.py     | 34 ++++---
 3 files changed, 71 insertions(+), 56 deletions(-)

diff --git a/invokeai/backend/model_management/lora.py b/invokeai/backend/model_management/lora.py
index e8e2b3f51f..3da27988dc 100644
--- a/invokeai/backend/model_management/lora.py
+++ b/invokeai/backend/model_management/lora.py
@@ -143,7 +143,7 @@ class ModelPatcher:
                         # with torch.autocast(device_type="cpu"):
                         layer.to(dtype=torch.float32)
                         layer_scale = layer.alpha / layer.rank if (layer.alpha and layer.rank) else 1.0
-                        layer_weight = layer.get_weight() * lora_weight * layer_scale
+                        layer_weight = layer.get_weight(original_weights[module_key]) * lora_weight * layer_scale
 
                         if module.weight.shape != layer_weight.shape:
                             # TODO: debug on lycoris
@@ -361,7 +361,8 @@ class ONNXModelPatcher:
 
                     layer.to(dtype=torch.float32)
                     layer_key = layer_key.replace(prefix, "")
-                    layer_weight = layer.get_weight().detach().cpu().numpy() * lora_weight
+                    # TODO: rewrite to pass original tensor weight(required by ia3)
+                    layer_weight = layer.get_weight(None).detach().cpu().numpy() * lora_weight
                     if layer_key is blended_loras:
                         blended_loras[layer_key] += layer_weight
                     else:
diff --git a/invokeai/backend/model_management/models/lora.py b/invokeai/backend/model_management/models/lora.py
index 1983c05503..c3f25e6852 100644
--- a/invokeai/backend/model_management/models/lora.py
+++ b/invokeai/backend/model_management/models/lora.py
@@ -122,41 +122,7 @@ class LoRALayerBase:
         self.rank = None  # set in layer implementation
         self.layer_key = layer_key
 
-    def forward(
-        self,
-        module: torch.nn.Module,
-        input_h: Any,  # for real looks like Tuple[torch.nn.Tensor] but not sure
-        multiplier: float,
-    ):
-        if type(module) == torch.nn.Conv2d:
-            op = torch.nn.functional.conv2d
-            extra_args = dict(
-                stride=module.stride,
-                padding=module.padding,
-                dilation=module.dilation,
-                groups=module.groups,
-            )
-
-        else:
-            op = torch.nn.functional.linear
-            extra_args = {}
-
-        weight = self.get_weight()
-
-        bias = self.bias if self.bias is not None else 0
-        scale = self.alpha / self.rank if (self.alpha and self.rank) else 1.0
-        return (
-            op(
-                *input_h,
-                (weight + bias).view(module.weight.shape),
-                None,
-                **extra_args,
-            )
-            * multiplier
-            * scale
-        )
-
-    def get_weight(self):
+    def get_weight(self, orig_weight: torch.Tensor):
         raise NotImplementedError()
 
     def calc_size(self) -> int:
@@ -197,7 +163,7 @@ class LoRALayer(LoRALayerBase):
 
         self.rank = self.down.shape[0]
 
-    def get_weight(self):
+    def get_weight(self, orig_weight: torch.Tensor):
         if self.mid is not None:
             up = self.up.reshape(self.up.shape[0], self.up.shape[1])
             down = self.down.reshape(self.down.shape[0], self.down.shape[1])
@@ -260,7 +226,7 @@ class LoHALayer(LoRALayerBase):
 
         self.rank = self.w1_b.shape[0]
 
-    def get_weight(self):
+    def get_weight(self, orig_weight: torch.Tensor):
         if self.t1 is None:
             weight = (self.w1_a @ self.w1_b) * (self.w2_a @ self.w2_b)
 
@@ -342,7 +308,7 @@ class LoKRLayer(LoRALayerBase):
         else:
             self.rank = None  # unscaled
 
-    def get_weight(self):
+    def get_weight(self, orig_weight: torch.Tensor):
         w1 = self.w1
         if w1 is None:
             w1 = self.w1_a @ self.w1_b
@@ -410,7 +376,7 @@ class FullLayer(LoRALayerBase):
 
         self.rank = None  # unscaled
 
-    def get_weight(self):
+    def get_weight(self, orig_weight: torch.Tensor):
         return self.weight
 
     def calc_size(self) -> int:
@@ -427,6 +393,44 @@ class FullLayer(LoRALayerBase):
 
         self.weight = self.weight.to(device=device, dtype=dtype)
 
+class IA3Layer(LoRALayerBase):
+    # weight: torch.Tensor
+    # on_input: torch.Tensor
+
+    def __init__(
+        self,
+        layer_key: str,
+        values: dict,
+    ):
+        super().__init__(layer_key, values)
+
+        self.weight = values["weight"]
+        self.on_input = values["on_input"]
+
+        self.rank = None  # unscaled
+
+    def get_weight(self, orig_weight: torch.Tensor):
+        weight = self.weight
+        if not self.on_input:
+            weight = weight.reshape(-1, 1)
+        return orig_weight * weight
+
+    def calc_size(self) -> int:
+        model_size = super().calc_size()
+        model_size += self.weight.nelement() * self.weight.element_size()
+        model_size += self.on_input.nelement() * self.on_input.element_size()
+        return model_size
+
+    def to(
+        self,
+        device: Optional[torch.device] = None,
+        dtype: Optional[torch.dtype] = None,
+    ):
+        super().to(device=device, dtype=dtype)
+
+        self.weight = self.weight.to(device=device, dtype=dtype)
+        self.on_input = self.on_input.to(device=device, dtype=dtype)
+
 
 # TODO: rename all methods used in model logic with Info postfix and remove here Raw postfix
 class LoRAModelRaw:  # (torch.nn.Module):
@@ -547,11 +551,15 @@ class LoRAModelRaw:  # (torch.nn.Module):
             elif "lokr_w1_b" in values or "lokr_w1" in values:
                 layer = LoKRLayer(layer_key, values)
 
+            # diff
             elif "diff" in values:
                 layer = FullLayer(layer_key, values)
 
+            # ia3
+            elif "weight" in values and "on_input" in values:
+                layer = IA3Layer(layer_key, values)
+
             else:
-                # TODO: ia3/... format
                 print(f">> Encountered unknown lora layer module in {model.name}: {layer_key} - {list(values.keys())}")
                 raise Exception("Unknown lora format!")
 
diff --git a/invokeai/backend/model_management/util.py b/invokeai/backend/model_management/util.py
index f435ab79b6..0702224bc7 100644
--- a/invokeai/backend/model_management/util.py
+++ b/invokeai/backend/model_management/util.py
@@ -12,37 +12,43 @@ def lora_token_vector_length(checkpoint: dict) -> int:
     def _get_shape_1(key, tensor, checkpoint):
         lora_token_vector_length = None
 
+        if "." not in key:
+            return lora_token_vector_length # wrong key format
+        model_key, lora_key = key.split(".", 1)
+
         # check lora/locon
-        if ".lora_down.weight" in key:
+        if lora_key == "lora_down.weight":
             lora_token_vector_length = tensor.shape[1]
 
         # check loha (don't worry about hada_t1/hada_t2 as it used only in 4d shapes)
-        elif ".hada_w1_b" in key or ".hada_w2_b" in key:
+        elif lora_key in ["hada_w1_b", "hada_w2_b"]:
             lora_token_vector_length = tensor.shape[1]
 
         # check lokr (don't worry about lokr_t2 as it used only in 4d shapes)
-        elif ".lokr_" in key:
-            _lokr_key = key.split(".")[0]
-
-            if _lokr_key + ".lokr_w1" in checkpoint:
-                _lokr_w1 = checkpoint[_lokr_key + ".lokr_w1"]
-            elif _lokr_key + "lokr_w1_b" in checkpoint:
-                _lokr_w1 = checkpoint[_lokr_key + ".lokr_w1_b"]
+        elif "lokr_" in lora_key:
+            if model_key + ".lokr_w1" in checkpoint:
+                _lokr_w1 = checkpoint[model_key + ".lokr_w1"]
+            elif model_key + "lokr_w1_b" in checkpoint:
+                _lokr_w1 = checkpoint[model_key + ".lokr_w1_b"]
             else:
                 return lora_token_vector_length  # unknown format
 
-            if _lokr_key + ".lokr_w2" in checkpoint:
-                _lokr_w2 = checkpoint[_lokr_key + ".lokr_w2"]
-            elif _lokr_key + "lokr_w2_b" in checkpoint:
-                _lokr_w2 = checkpoint[_lokr_key + ".lokr_w2_b"]
+            if model_key + ".lokr_w2" in checkpoint:
+                _lokr_w2 = checkpoint[model_key + ".lokr_w2"]
+            elif model_key + "lokr_w2_b" in checkpoint:
+                _lokr_w2 = checkpoint[model_key + ".lokr_w2_b"]
             else:
                 return lora_token_vector_length  # unknown format
 
             lora_token_vector_length = _lokr_w1.shape[1] * _lokr_w2.shape[1]
 
-        elif ".diff" in key:
+        elif lora_key == "diff":
             lora_token_vector_length = tensor.shape[1]
 
+        # ia3 can be detected only by shape[0] in text encoder
+        elif lora_key == "weight" and "lora_unet_" not in model_key:
+            lora_token_vector_length = tensor.shape[0]
+
         return lora_token_vector_length
 
     lora_token_vector_length = None

From c0c2ab3dcf1f1275193cdfe45e8175b6df780d6e Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Fri, 11 Aug 2023 03:20:56 +0300
Subject: [PATCH 149/287] Format by black

---
 invokeai/backend/model_management/models/lora.py | 1 +
 invokeai/backend/model_management/util.py        | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/invokeai/backend/model_management/models/lora.py b/invokeai/backend/model_management/models/lora.py
index c3f25e6852..88a50fb4fd 100644
--- a/invokeai/backend/model_management/models/lora.py
+++ b/invokeai/backend/model_management/models/lora.py
@@ -393,6 +393,7 @@ class FullLayer(LoRALayerBase):
 
         self.weight = self.weight.to(device=device, dtype=dtype)
 
+
 class IA3Layer(LoRALayerBase):
     # weight: torch.Tensor
     # on_input: torch.Tensor
diff --git a/invokeai/backend/model_management/util.py b/invokeai/backend/model_management/util.py
index 0702224bc7..6d70107c93 100644
--- a/invokeai/backend/model_management/util.py
+++ b/invokeai/backend/model_management/util.py
@@ -13,7 +13,7 @@ def lora_token_vector_length(checkpoint: dict) -> int:
         lora_token_vector_length = None
 
         if "." not in key:
-            return lora_token_vector_length # wrong key format
+            return lora_token_vector_length  # wrong key format
         model_key, lora_key = key.split(".", 1)
 
         # check lora/locon

From f851ad7ba0fb80b822392328800a0be246fbf43a Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Thu, 10 Aug 2023 20:59:22 -0400
Subject: [PATCH 150/287] Two changes to command-line scripts

- installer - use correct entry point for invokeai-configure
- model merge script - prevent error when `--root` not provided
---
 installer/lib/installer.py                 | 2 +-
 invokeai/frontend/merge/merge_diffusers.py | 3 ++-
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/installer/lib/installer.py b/installer/lib/installer.py
index f8bd72d495..cc694c2934 100644
--- a/installer/lib/installer.py
+++ b/installer/lib/installer.py
@@ -348,7 +348,7 @@ class InvokeAiInstance:
 
         introduction()
 
-        from invokeai.frontend.install import invokeai_configure
+        from invokeai.frontend.install.invokeai_configure import invokeai_configure
 
         # NOTE: currently the config script does its own arg parsing! this means the command-line switches
         # from the installer will also automatically propagate down to the config script.
diff --git a/invokeai/frontend/merge/merge_diffusers.py b/invokeai/frontend/merge/merge_diffusers.py
index db493ec17f..f2e211a1b4 100644
--- a/invokeai/frontend/merge/merge_diffusers.py
+++ b/invokeai/frontend/merge/merge_diffusers.py
@@ -382,7 +382,8 @@ def run_cli(args: Namespace):
 
 def main():
     args = _parse_args()
-    config.parse_args(["--root", str(args.root_dir)])
+    if args.root_dir:
+        config.parse_args(["--root", str(args.root_dir)])
 
     try:
         if args.front_end:

From a7399aca0ce5b47728114ea1d1c7a67398fcfc0f Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Fri, 11 Aug 2023 11:53:52 +1000
Subject: [PATCH 151/287] Add new JS files for 3.0.2 build

---
 .../{App-4a928bb6.js => App-fd54b7b9.js}      |  4 +-
 ...879.js => ThemeLocaleProvider-139ac716.js} |  2 +-
 .../{index-dd054634.js => index-815faab3.js}  | 38 +++++++++----------
 .../{menu-b42141e3.js => menu-e9f8a36e.js}    |  2 +-
 invokeai/frontend/web/dist/index.html         |  2 +-
 5 files changed, 24 insertions(+), 24 deletions(-)
 rename invokeai/frontend/web/dist/assets/{App-4a928bb6.js => App-fd54b7b9.js} (87%)
 rename invokeai/frontend/web/dist/assets/{ThemeLocaleProvider-6fe89879.js => ThemeLocaleProvider-139ac716.js} (99%)
 rename invokeai/frontend/web/dist/assets/{index-dd054634.js => index-815faab3.js} (80%)
 rename invokeai/frontend/web/dist/assets/{menu-b42141e3.js => menu-e9f8a36e.js} (99%)

diff --git a/invokeai/frontend/web/dist/assets/App-4a928bb6.js b/invokeai/frontend/web/dist/assets/App-fd54b7b9.js
similarity index 87%
rename from invokeai/frontend/web/dist/assets/App-4a928bb6.js
rename to invokeai/frontend/web/dist/assets/App-fd54b7b9.js
index 4b274bda51..592be24a90 100644
--- a/invokeai/frontend/web/dist/assets/App-4a928bb6.js
+++ b/invokeai/frontend/web/dist/assets/App-fd54b7b9.js
@@ -1,4 +1,4 @@
-import{t as Cv,r as dR,i as kv,a as Tc,b as P_,S as j_,c as I_,d as E_,e as _v,f as O_,g as Pv,h as fR,j as pR,k as hR,l as mR,m as R_,n as gR,o as vR,p as bR,q as M_,s as yR,u as xR,v as wR,w as SR,x as CR,y as kR,z as _R,A as f,B as i,C as cm,D as Lp,E as PR,F as D_,G as A_,H as jR,P as vd,I as X1,J as IR,K as ER,L as OR,M as RR,N as MR,O as DR,Q as AR,R as V2,T as TR,U as Ae,V as je,W as Ct,X as et,Y as bd,Z as mo,_ as Er,$ as Fr,a0 as qn,a1 as hl,a2 as ia,a3 as Ft,a4 as rs,a5 as nc,a6 as za,a7 as um,a8 as Y1,a9 as yd,aa as sr,ab as NR,ac as H,ad as U2,ae as $R,af as jv,ag as Nc,ah as LR,ai as T_,aj as N_,ak as $c,al as zR,am as be,an as Je,ao as Zt,ap as B,aq as BR,ar as G2,as as FR,at as HR,au as q2,av as te,aw as WR,ax as On,ay as Mn,az as Re,aA as W,aB as Ys,aC as lt,aD as Kn,aE as $_,aF as VR,aG as UR,aH as GR,aI as qR,aJ as _i,aK as Q1,aL as Ds,aM as jo,aN as dm,aO as KR,aP as XR,aQ as K2,aR as J1,aS as wa,aT as YR,aU as L_,aV as z_,aW as X2,aX as QR,aY as JR,aZ as B_,a_ as F_,a$ as Z1,b0 as ZR,b1 as e7,b2 as t7,b3 as Al,b4 as n7,b5 as r7,b6 as o7,b7 as s7,b8 as Y2,b9 as fi,ba as eb,bb as zp,bc as fm,bd as H_,be as W_,bf as Is,bg as V_,bh as a7,bi as Lc,bj as U_,bk as G_,bl as Es,bm as Iu,bn as Bp,bo as i7,bp as l7,bq as c7,br as u7,bs as Lf,bt as zf,bu as pu,bv as v0,bw as Lu,bx as zu,by as Bu,bz as Fu,bA as Q2,bB as Fp,bC as b0,bD as Hp,bE as J2,bF as Iv,bG as y0,bH as Ev,bI as x0,bJ as Wp,bK as Z2,bL as vc,bM as ew,bN as bc,bO as tw,bP as Vp,bQ as tb,bR as d7,bS as q_,bT as Ov,bU as Rv,bV as K_,bW as f7,bX as Mv,bY as p7,bZ as Dv,b_ as nb,b$ as rb,c0 as pm,c1 as h7,c2 as hm,c3 as Yl,c4 as X_,c5 as m7,c6 as jp,c7 as ob,c8 as Y_,c9 as g7,ca as hu,cb as Q_,cc as J_,cd as nw,ce as Ba,cf as v7,cg as Av,ch as b7,ci as y7,cj as x7,ck as w7,cl as sb,cm as ab,cn as S7,co as Bn,cp as rw,cq as Z_,cr as C7,cs as k7,ct as _7,cu as P7,cv as j7,cw as I7,cx as E7,cy as O7,cz as R7,cA as e5,cB as M7,cC as D7,cD as A7,cE as T7,cF as N7,cG as $7,cH as L7,cI as z7,cJ as 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function(Ce,Xe){(_e.internalActions.updateSubscriptionOptions.match(Ce)||_e.internalActions.unsubscribeQueryResult.match(Ce))&&ft(Ce.payload,Xe),(he.pending.match(Ce)||he.rejected.match(Ce)&&Ce.meta.condition)&&ft(Ce.meta.arg,Xe),(he.fulfilled.match(Ce)||he.rejected.match(Ce)&&!Ce.meta.condition)&&Ht(Ce.meta.arg,Xe),_e.util.resetApiState.match(Ce)&&function(){for(var jt=0,Et=Object.keys(ot);jt<Et.length;jt++)xt(Et[jt])}()}},Fn=I(Lo),Hn=new Error("Promise never resolved before cacheEntryRemoved."),Wn=function(J){var ee=J.api,he=J.reducerPath,_e=J.context,me=J.queryThunk,ut=J.mutationThunk,ot=(0,Fn.isAsyncThunkAction)(me),Ht=(0,Fn.isAsyncThunkAction)(ut),ft=(0,Fn.isFulfilled)(me,ut),xt={};function He(Ce,Xe,jt,Et,Nt){var qt=_e.endpointDefinitions[Ce],tn=qt==null?void 0:qt.onCacheEntryAdded;if(tn){var en={},Ut=new Promise(function(Gt){en.cacheEntryRemoved=Gt}),Be=Promise.race([new Promise(function(Gt){en.valueResolved=Gt}),Ut.then(function(){throw Hn})]);Be.catch(function(){}),xt[jt]=en;var yt=ee.endpoints[Ce].select(qt.type===U.query?Xe:jt),Mt=Et.dispatch(function(Gt,un,sn){return sn}),Wt=k(S({},Et),{getCacheEntry:function(){return yt(Et.getState())},requestId:Nt,extra:Mt,updateCachedData:qt.type===U.query?function(Gt){return Et.dispatch(ee.util.updateQueryData(Ce,Xe,Gt))}:void 0,cacheDataLoaded:Be,cacheEntryRemoved:Ut}),jn=tn(Xe,Wt);Promise.resolve(jn).catch(function(Gt){if(Gt!==Hn)throw Gt})}}return function(Ce,Xe,jt){var Et=function(yt){return ot(yt)?yt.meta.arg.queryCacheKey:Ht(yt)?yt.meta.requestId:ee.internalActions.removeQueryResult.match(yt)?yt.payload.queryCacheKey:ee.internalActions.removeMutationResult.match(yt)?Se(yt.payload):""}(Ce);if(me.pending.match(Ce)){var Nt=jt[he].queries[Et],qt=Xe.getState()[he].queries[Et];!Nt&&qt&&He(Ce.meta.arg.endpointName,Ce.meta.arg.originalArgs,Et,Xe,Ce.meta.requestId)}else if(ut.pending.match(Ce))(qt=Xe.getState()[he].mutations[Et])&&He(Ce.meta.arg.endpointName,Ce.meta.arg.originalArgs,Et,Xe,Ce.meta.requestId);else if(ft(Ce))(Be=xt[Et])!=null&&Be.valueResolved&&(Be.valueResolved({data:Ce.payload,meta:Ce.meta.baseQueryMeta}),delete Be.valueResolved);else if(ee.internalActions.removeQueryResult.match(Ce)||ee.internalActions.removeMutationResult.match(Ce))(Be=xt[Et])&&(delete xt[Et],Be.cacheEntryRemoved());else if(ee.util.resetApiState.match(Ce))for(var tn=0,en=Object.entries(xt);tn<en.length;tn++){var Ut=en[tn],Be=Ut[1];delete xt[Ut[0]],Be.cacheEntryRemoved()}}},Nr=I(Lo),Do=function(J){var ee=J.api,he=J.context,_e=J.queryThunk,me=J.mutationThunk,ut=(0,Nr.isPending)(_e,me),ot=(0,Nr.isRejected)(_e,me),Ht=(0,Nr.isFulfilled)(_e,me),ft={};return function(xt,He){var Ce,Xe,jt;if(ut(xt)){var Et=xt.meta,Nt=Et.requestId,qt=Et.arg,tn=qt.endpointName,en=qt.originalArgs,Ut=he.endpointDefinitions[tn],Be=Ut==null?void 0:Ut.onQueryStarted;if(Be){var yt={},Mt=new Promise(function(Jn,It){yt.resolve=Jn,yt.reject=It});Mt.catch(function(){}),ft[Nt]=yt;var Wt=ee.endpoints[tn].select(Ut.type===U.query?en:Nt),jn=He.dispatch(function(Jn,It,In){return In}),Gt=k(S({},He),{getCacheEntry:function(){return Wt(He.getState())},requestId:Nt,extra:jn,updateCachedData:Ut.type===U.query?function(Jn){return He.dispatch(ee.util.updateQueryData(tn,en,Jn))}:void 0,queryFulfilled:Mt});Be(en,Gt)}}else if(Ht(xt)){var un=xt.meta,sn=un.baseQueryMeta;(Ce=ft[Nt=un.requestId])==null||Ce.resolve({data:xt.payload,meta:sn}),delete ft[Nt]}else if(ot(xt)){var Or=xt.meta;sn=Or.baseQueryMeta,(jt=ft[Nt=Or.requestId])==null||jt.reject({error:(Xe=xt.payload)!=null?Xe:xt.error,isUnhandledError:!Or.rejectedWithValue,meta:sn}),delete ft[Nt]}}},Wr=function(J){var ee=J.api,he=J.context.apiUid;return function(_e,me){ee.util.resetApiState.match(_e)&&me.dispatch(ee.internalActions.middlewareRegistered(he))}},Vr=I(Su),ds=typeof queueMicrotask=="function"?queueMicrotask.bind(typeof window<"u"?window:typeof Al<"u"?Al:globalThis):function(J){return(zt||(zt=Promise.resolve())).then(J).catch(function(ee){return setTimeout(function(){throw ee},0)})};function $r(J){for(var ee=[],he=1;he<arguments.length;he++)ee[he-1]=arguments[he];Object.assign.apply(Object,o([J],ee))}var $s=I(Su),fs=Symbol(),da=function(){return{name:fs,init:function(J,ee,he){var _e=ee.baseQuery,me=ee.reducerPath,ut=ee.serializeQueryArgs,ot=ee.keepUnusedDataFor,Ht=ee.refetchOnMountOrArgChange,ft=ee.refetchOnFocus,xt=ee.refetchOnReconnect;(0,$s.enablePatches)();var He=function(It){return It};Object.assign(J,{reducerPath:me,endpoints:{},internalActions:{onOnline:fe,onOffline:ie,onFocus:Y,onFocusLost:ae},util:{}});var Ce=function(It){var In=this,Rn=It.reducerPath,Zn=It.baseQuery,mr=It.context.endpointDefinitions,Tn=It.serializeQueryArgs,Nn=It.api,dn=function(qe,Ot){return E(In,[qe,Ot],function(St,st){var wt,Bt,mt,rt,Oe,Ie,De,We,Ze,Dt,Rt,Ve,nn,xn=st.signal,hn=st.abort,gr=st.rejectWithValue,Xn=st.fulfillWithValue,gn=st.dispatch,Vn=st.getState,ao=st.extra;return r(this,function(fn){switch(fn.label){case 0:wt=mr[St.endpointName],fn.label=1;case 1:return fn.trys.push([1,8,,13]),Bt=kt,mt=void 0,rt={signal:xn,abort:hn,dispatch:gn,getState:Vn,extra:ao,endpoint:St.endpointName,type:St.type,forced:St.type==="query"?Sn(St,Vn()):void 0},(Oe=St.type==="query"?St[xe]:void 0)?(mt=Oe(),[3,6]):[3,2];case 2:return wt.query?[4,Zn(wt.query(St.originalArgs),rt,wt.extraOptions)]:[3,4];case 3:return mt=fn.sent(),wt.transformResponse&&(Bt=wt.transformResponse),[3,6];case 4:return[4,wt.queryFn(St.originalArgs,rt,wt.extraOptions,function($n){return Zn($n,rt,wt.extraOptions)})];case 5:mt=fn.sent(),fn.label=6;case 6:if(mt.error)throw new q(mt.error,mt.meta);return Ie=Xn,[4,Bt(mt.data,mt.meta,St.originalArgs)];case 7:return[2,Ie.apply(void 0,[fn.sent(),(Ve={fulfilledTimeStamp:Date.now(),baseQueryMeta:mt.meta},Ve[$e.SHOULD_AUTOBATCH]=!0,Ve)])];case 8:if(De=fn.sent(),!((We=De)instanceof q))return[3,12];Ze=kt,wt.query&&wt.transformErrorResponse&&(Ze=wt.transformErrorResponse),fn.label=9;case 9:return fn.trys.push([9,11,,12]),Dt=gr,[4,Ze(We.value,We.meta,St.originalArgs)];case 10:return[2,Dt.apply(void 0,[fn.sent(),(nn={baseQueryMeta:We.meta},nn[$e.SHOULD_AUTOBATCH]=!0,nn)])];case 11:return Rt=fn.sent(),We=Rt,[3,12];case 12:throw console.error(We),We;case 13:return[2]}})})};function Sn(qe,Ot){var St,st,wt,Bt,mt=(st=(St=Ot[Rn])==null?void 0:St.queries)==null?void 0:st[qe.queryCacheKey],rt=(wt=Ot[Rn])==null?void 0:wt.config.refetchOnMountOrArgChange,Oe=mt==null?void 0:mt.fulfilledTimeStamp,Ie=(Bt=qe.forceRefetch)!=null?Bt:qe.subscribe&&rt;return!!Ie&&(Ie===!0||(Number(new Date)-Number(Oe))/1e3>=Ie)}var En=(0,$e.createAsyncThunk)(Rn+"/executeQuery",dn,{getPendingMeta:function(){var qe;return(qe={startedTimeStamp:Date.now()})[$e.SHOULD_AUTOBATCH]=!0,qe},condition:function(qe,Ot){var St,st,wt,Bt=(0,Ot.getState)(),mt=(st=(St=Bt[Rn])==null?void 0:St.queries)==null?void 0:st[qe.queryCacheKey],rt=mt==null?void 0:mt.fulfilledTimeStamp,Oe=qe.originalArgs,Ie=mt==null?void 0:mt.originalArgs,De=mr[qe.endpointName];return!(!de(qe)&&((mt==null?void 0:mt.status)==="pending"||!Sn(qe,Bt)&&(!oe(De)||!((wt=De==null?void 0:De.forceRefetch)!=null&&wt.call(De,{currentArg:Oe,previousArg:Ie,endpointState:mt,state:Bt})))&&rt))},dispatchConditionRejection:!0}),bn=(0,$e.createAsyncThunk)(Rn+"/executeMutation",dn,{getPendingMeta:function(){var qe;return(qe={startedTimeStamp:Date.now()})[$e.SHOULD_AUTOBATCH]=!0,qe}});function yn(qe){return function(Ot){var St,st;return((st=(St=Ot==null?void 0:Ot.meta)==null?void 0:St.arg)==null?void 0:st.endpointName)===qe}}return{queryThunk:En,mutationThunk:bn,prefetch:function(qe,Ot,St){return function(st,wt){var Bt=function(De){return"force"in De}(St)&&St.force,mt=function(De){return"ifOlderThan"in De}(St)&&St.ifOlderThan,rt=function(De){return De===void 0&&(De=!0),Nn.endpoints[qe].initiate(Ot,{forceRefetch:De})},Oe=Nn.endpoints[qe].select(Ot)(wt());if(Bt)st(rt());else if(mt){var Ie=Oe==null?void 0:Oe.fulfilledTimeStamp;if(!Ie)return void st(rt());(Number(new Date)-Number(new Date(Ie)))/1e3>=mt&&st(rt())}else st(rt(!1))}},updateQueryData:function(qe,Ot,St){return function(st,wt){var Bt,mt,rt=Nn.endpoints[qe].select(Ot)(wt()),Oe={patches:[],inversePatches:[],undo:function(){return st(Nn.util.patchQueryData(qe,Ot,Oe.inversePatches))}};if(rt.status===t.uninitialized)return Oe;if("data"in rt)if((0,Ee.isDraftable)(rt.data)){var Ie=(0,Ee.produceWithPatches)(rt.data,St),De=Ie[2];(Bt=Oe.patches).push.apply(Bt,Ie[1]),(mt=Oe.inversePatches).push.apply(mt,De)}else{var We=St(rt.data);Oe.patches.push({op:"replace",path:[],value:We}),Oe.inversePatches.push({op:"replace",path:[],value:rt.data})}return st(Nn.util.patchQueryData(qe,Ot,Oe.patches)),Oe}},upsertQueryData:function(qe,Ot,St){return function(st){var wt;return st(Nn.endpoints[qe].initiate(Ot,((wt={subscribe:!1,forceRefetch:!0})[xe]=function(){return{data:St}},wt)))}},patchQueryData:function(qe,Ot,St){return function(st){st(Nn.internalActions.queryResultPatched({queryCacheKey:Tn({queryArgs:Ot,endpointDefinition:mr[qe],endpointName:qe}),patches:St}))}},buildMatchThunkActions:function(qe,Ot){return{matchPending:(0,Te.isAllOf)((0,Te.isPending)(qe),yn(Ot)),matchFulfilled:(0,Te.isAllOf)((0,Te.isFulfilled)(qe),yn(Ot)),matchRejected:(0,Te.isAllOf)((0,Te.isRejected)(qe),yn(Ot))}}}}({baseQuery:_e,reducerPath:me,context:he,api:J,serializeQueryArgs:ut}),Xe=Ce.queryThunk,jt=Ce.mutationThunk,Et=Ce.patchQueryData,Nt=Ce.updateQueryData,qt=Ce.upsertQueryData,tn=Ce.prefetch,en=Ce.buildMatchThunkActions,Ut=function(It){var In=It.reducerPath,Rn=It.queryThunk,Zn=It.mutationThunk,mr=It.context,Tn=mr.endpointDefinitions,Nn=mr.apiUid,dn=mr.extractRehydrationInfo,Sn=mr.hasRehydrationInfo,En=It.assertTagType,bn=It.config,yn=(0,ge.createAction)(In+"/resetApiState"),qe=(0,ge.createSlice)({name:In+"/queries",initialState:Pt,reducers:{removeQueryResult:{reducer:function(rt,Oe){delete rt[Oe.payload.queryCacheKey]},prepare:(0,ge.prepareAutoBatched)()},queryResultPatched:function(rt,Oe){var Ie=Oe.payload,De=Ie.patches;bt(rt,Ie.queryCacheKey,function(We){We.data=(0,vt.applyPatches)(We.data,De.concat())})}},extraReducers:function(rt){rt.addCase(Rn.pending,function(Oe,Ie){var De,We=Ie.meta,Ze=Ie.meta.arg,Dt=de(Ze);(Ze.subscribe||Dt)&&(Oe[De=Ze.queryCacheKey]!=null||(Oe[De]={status:t.uninitialized,endpointName:Ze.endpointName})),bt(Oe,Ze.queryCacheKey,function(Rt){Rt.status=t.pending,Rt.requestId=Dt&&Rt.requestId?Rt.requestId:We.requestId,Ze.originalArgs!==void 0&&(Rt.originalArgs=Ze.originalArgs),Rt.startedTimeStamp=We.startedTimeStamp})}).addCase(Rn.fulfilled,function(Oe,Ie){var De=Ie.meta,We=Ie.payload;bt(Oe,De.arg.queryCacheKey,function(Ze){var Dt;if(Ze.requestId===De.requestId||de(De.arg)){var Rt=Tn[De.arg.endpointName].merge;if(Ze.status=t.fulfilled,Rt)if(Ze.data!==void 0){var Ve=De.fulfilledTimeStamp,nn=De.arg,xn=De.baseQueryMeta,hn=De.requestId,gr=(0,ge.createNextState)(Ze.data,function(Xn){return Rt(Xn,We,{arg:nn.originalArgs,baseQueryMeta:xn,fulfilledTimeStamp:Ve,requestId:hn})});Ze.data=gr}else Ze.data=We;else Ze.data=(Dt=Tn[De.arg.endpointName].structuralSharing)==null||Dt?M((0,on.isDraft)(Ze.data)?(0,vt.original)(Ze.data):Ze.data,We):We;delete Ze.error,Ze.fulfilledTimeStamp=De.fulfilledTimeStamp}})}).addCase(Rn.rejected,function(Oe,Ie){var De=Ie.meta,We=De.condition,Ze=De.requestId,Dt=Ie.error,Rt=Ie.payload;bt(Oe,De.arg.queryCacheKey,function(Ve){if(!We){if(Ve.requestId!==Ze)return;Ve.status=t.rejected,Ve.error=Rt??Dt}})}).addMatcher(Sn,function(Oe,Ie){for(var De=dn(Ie).queries,We=0,Ze=Object.entries(De);We<Ze.length;We++){var Dt=Ze[We],Rt=Dt[1];(Rt==null?void 0:Rt.status)!==t.fulfilled&&(Rt==null?void 0:Rt.status)!==t.rejected||(Oe[Dt[0]]=Rt)}})}}),Ot=(0,ge.createSlice)({name:In+"/mutations",initialState:Pt,reducers:{removeMutationResult:{reducer:function(rt,Oe){var Ie=Se(Oe.payload);Ie in rt&&delete rt[Ie]},prepare:(0,ge.prepareAutoBatched)()}},extraReducers:function(rt){rt.addCase(Zn.pending,function(Oe,Ie){var De=Ie.meta,We=De.requestId,Ze=De.arg,Dt=De.startedTimeStamp;Ze.track&&(Oe[Se(Ie.meta)]={requestId:We,status:t.pending,endpointName:Ze.endpointName,startedTimeStamp:Dt})}).addCase(Zn.fulfilled,function(Oe,Ie){var De=Ie.payload,We=Ie.meta;We.arg.track&&Me(Oe,We,function(Ze){Ze.requestId===We.requestId&&(Ze.status=t.fulfilled,Ze.data=De,Ze.fulfilledTimeStamp=We.fulfilledTimeStamp)})}).addCase(Zn.rejected,function(Oe,Ie){var De=Ie.payload,We=Ie.error,Ze=Ie.meta;Ze.arg.track&&Me(Oe,Ze,function(Dt){Dt.requestId===Ze.requestId&&(Dt.status=t.rejected,Dt.error=De??We)})}).addMatcher(Sn,function(Oe,Ie){for(var De=dn(Ie).mutations,We=0,Ze=Object.entries(De);We<Ze.length;We++){var Dt=Ze[We],Rt=Dt[0],Ve=Dt[1];(Ve==null?void 0:Ve.status)!==t.fulfilled&&(Ve==null?void 0:Ve.status)!==t.rejected||Rt===(Ve==null?void 0:Ve.requestId)||(Oe[Rt]=Ve)}})}}),St=(0,ge.createSlice)({name:In+"/invalidation",initialState:Pt,reducers:{},extraReducers:function(rt){rt.addCase(qe.actions.removeQueryResult,function(Oe,Ie){for(var De=Ie.payload.queryCacheKey,We=0,Ze=Object.values(Oe);We<Ze.length;We++)for(var Dt=0,Rt=Object.values(Ze[We]);Dt<Rt.length;Dt++){var Ve=Rt[Dt],nn=Ve.indexOf(De);nn!==-1&&Ve.splice(nn,1)}}).addMatcher(Sn,function(Oe,Ie){for(var De,We,Ze,Dt,Rt=dn(Ie).provided,Ve=0,nn=Object.entries(Rt);Ve<nn.length;Ve++)for(var xn=nn[Ve],hn=xn[0],gr=0,Xn=Object.entries(xn[1]);gr<Xn.length;gr++)for(var gn=Xn[gr],Vn=gn[0],ao=gn[1],fn=(Dt=(We=(De=Oe[hn])!=null?De:Oe[hn]={})[Ze=Vn||"__internal_without_id"])!=null?Dt:We[Ze]=[],$n=0,Ur=ao;$n<Ur.length;$n++){var Rr=Ur[$n];fn.includes(Rr)||fn.push(Rr)}}).addMatcher((0,ge.isAnyOf)((0,ge.isFulfilled)(Rn),(0,ge.isRejectedWithValue)(Rn)),function(Oe,Ie){for(var De,We,Ze,Dt,Rt=ct(Ie,"providesTags",Tn,En),Ve=Ie.meta.arg.queryCacheKey,nn=0,xn=Object.values(Oe);nn<xn.length;nn++)for(var hn=0,gr=Object.values(xn[nn]);hn<gr.length;hn++){var Xn=gr[hn],gn=Xn.indexOf(Ve);gn!==-1&&Xn.splice(gn,1)}for(var Vn=0,ao=Rt;Vn<ao.length;Vn++){var fn=ao[Vn],$n=fn.type,Ur=fn.id,Rr=(Dt=(We=(De=Oe[$n])!=null?De:Oe[$n]={})[Ze=Ur||"__internal_without_id"])!=null?Dt:We[Ze]=[];Rr.includes(Ve)||Rr.push(Ve)}})}}),st=(0,ge.createSlice)({name:In+"/subscriptions",initialState:Pt,reducers:{updateSubscriptionOptions:function(rt,Oe){},unsubscribeQueryResult:function(rt,Oe){},internal_probeSubscription:function(rt,Oe){}}}),wt=(0,ge.createSlice)({name:In+"/internalSubscriptions",initialState:Pt,reducers:{subscriptionsUpdated:{reducer:function(rt,Oe){return(0,vt.applyPatches)(rt,Oe.payload)},prepare:(0,ge.prepareAutoBatched)()}}}),Bt=(0,ge.createSlice)({name:In+"/config",initialState:S({online:typeof navigator>"u"||navigator.onLine===void 0||navigator.onLine,focused:typeof document>"u"||document.visibilityState!=="hidden",middlewareRegistered:!1},bn),reducers:{middlewareRegistered:function(rt,Oe){rt.middlewareRegistered=rt.middlewareRegistered!=="conflict"&&Nn===Oe.payload||"conflict"}},extraReducers:function(rt){rt.addCase(fe,function(Oe){Oe.online=!0}).addCase(ie,function(Oe){Oe.online=!1}).addCase(Y,function(Oe){Oe.focused=!0}).addCase(ae,function(Oe){Oe.focused=!1}).addMatcher(Sn,function(Oe){return S({},Oe)})}}),mt=(0,ge.combineReducers)({queries:qe.reducer,mutations:Ot.reducer,provided:St.reducer,subscriptions:wt.reducer,config:Bt.reducer});return{reducer:function(rt,Oe){return mt(yn.match(Oe)?void 0:rt,Oe)},actions:k(S(S(S(S(S({},Bt.actions),qe.actions),st.actions),wt.actions),Ot.actions),{unsubscribeMutationResult:Ot.actions.removeMutationResult,resetApiState:yn})}}({context:he,queryThunk:Xe,mutationThunk:jt,reducerPath:me,assertTagType:He,config:{refetchOnFocus:ft,refetchOnReconnect:xt,refetchOnMountOrArgChange:Ht,keepUnusedDataFor:ot,reducerPath:me}}),Be=Ut.reducer,yt=Ut.actions;$r(J.util,{patchQueryData:Et,updateQueryData:Nt,upsertQueryData:qt,prefetch:tn,resetApiState:yt.resetApiState}),$r(J.internalActions,yt);var Mt=function(It){var In=It.reducerPath,Rn=It.queryThunk,Zn=It.api,mr=It.context,Tn=mr.apiUid,Nn={invalidateTags:(0,cr.createAction)(In+"/invalidateTags")},dn=[Wr,pn,Hr,xr,Wn,Do];return{middleware:function(En){var bn=!1,yn=k(S({},It),{internalState:{currentSubscriptions:{}},refetchQuery:Sn}),qe=dn.map(function(st){return st(yn)}),Ot=function(st){var wt=st.api,Bt=st.queryThunk,mt=st.internalState,rt=wt.reducerPath+"/subscriptions",Oe=null,Ie=!1,De=wt.internalActions,We=De.updateSubscriptionOptions,Ze=De.unsubscribeQueryResult;return function(Dt,Rt){var Ve,nn;if(Oe||(Oe=JSON.parse(JSON.stringify(mt.currentSubscriptions))),wt.util.resetApiState.match(Dt))return Oe=mt.currentSubscriptions={},[!0,!1];if(wt.internalActions.internal_probeSubscription.match(Dt)){var xn=Dt.payload;return[!1,!!((Ve=mt.currentSubscriptions[xn.queryCacheKey])!=null&&Ve[xn.requestId])]}var hn=function(gn,Vn){var ao,fn,$n,Ur,Rr,Ga,ef,Ao,fa;if(We.match(Vn)){var zs=Vn.payload,pa=zs.queryCacheKey,io=zs.requestId;return(ao=gn==null?void 0:gn[pa])!=null&&ao[io]&&(gn[pa][io]=zs.options),!0}if(Ze.match(Vn)){var lo=Vn.payload;return io=lo.requestId,gn[pa=lo.queryCacheKey]&&delete gn[pa][io],!0}if(wt.internalActions.removeQueryResult.match(Vn))return delete gn[Vn.payload.queryCacheKey],!0;if(Bt.pending.match(Vn)){var co=Vn.meta;if(io=co.requestId,(Yr=co.arg).subscribe)return(Wo=($n=gn[fn=Yr.queryCacheKey])!=null?$n:gn[fn]={})[io]=(Rr=(Ur=Yr.subscriptionOptions)!=null?Ur:Wo[io])!=null?Rr:{},!0}if(Bt.rejected.match(Vn)){var Wo,To=Vn.meta,Yr=To.arg;if(io=To.requestId,To.condition&&Yr.subscribe)return(Wo=(ef=gn[Ga=Yr.queryCacheKey])!=null?ef:gn[Ga]={})[io]=(fa=(Ao=Yr.subscriptionOptions)!=null?Ao:Wo[io])!=null?fa:{},!0}return!1}(mt.currentSubscriptions,Dt);if(hn){Ie||(ds(function(){var gn=JSON.parse(JSON.stringify(mt.currentSubscriptions)),Vn=(0,Vr.produceWithPatches)(Oe,function(){return gn});Rt.next(wt.internalActions.subscriptionsUpdated(Vn[1])),Oe=gn,Ie=!1}),Ie=!0);var gr=!!((nn=Dt.type)!=null&&nn.startsWith(rt)),Xn=Bt.rejected.match(Dt)&&Dt.meta.condition&&!!Dt.meta.arg.subscribe;return[!gr&&!Xn,!1]}return[!0,!1]}}(yn),St=function(st){var wt=st.reducerPath,Bt=st.context,mt=st.refetchQuery,rt=st.internalState,Oe=st.api.internalActions.removeQueryResult;function Ie(De,We){var Ze=De.getState()[wt],Dt=Ze.queries,Rt=rt.currentSubscriptions;Bt.batch(function(){for(var Ve=0,nn=Object.keys(Rt);Ve<nn.length;Ve++){var xn=nn[Ve],hn=Dt[xn],gr=Rt[xn];gr&&hn&&(Object.values(gr).some(function(Xn){return Xn[We]===!0})||Object.values(gr).every(function(Xn){return Xn[We]===void 0})&&Ze.config[We])&&(Object.keys(gr).length===0?De.dispatch(Oe({queryCacheKey:xn})):hn.status!==t.uninitialized&&De.dispatch(mt(hn,xn)))}})}return function(De,We){Y.match(De)&&Ie(We,"refetchOnFocus"),fe.match(De)&&Ie(We,"refetchOnReconnect")}}(yn);return function(st){return function(wt){bn||(bn=!0,En.dispatch(Zn.internalActions.middlewareRegistered(Tn)));var Bt,mt=k(S({},En),{next:st}),rt=En.getState(),Oe=Ot(wt,mt,rt),Ie=Oe[1];if(Bt=Oe[0]?st(wt):Ie,En.getState()[In]&&(St(wt,mt,rt),function(Ze){return!!Ze&&typeof Ze.type=="string"&&Ze.type.startsWith(In+"/")}(wt)||mr.hasRehydrationInfo(wt)))for(var De=0,We=qe;De<We.length;De++)(0,We[De])(wt,mt,rt);return Bt}}},actions:Nn};function Sn(En,bn,yn){return yn===void 0&&(yn={}),Rn(S({type:"query",endpointName:En.endpointName,originalArgs:En.originalArgs,subscribe:!1,forceRefetch:!0,queryCacheKey:bn},yn))}}({reducerPath:me,context:he,queryThunk:Xe,mutationThunk:jt,api:J,assertTagType:He}),Wt=Mt.middleware;$r(J.util,Mt.actions),$r(J,{reducer:Be,middleware:Wt});var jn=function(It){var In=It.serializeQueryArgs,Rn=It.reducerPath,Zn=function(dn){return $t},mr=function(dn){return Lt};return{buildQuerySelector:function(dn,Sn){return function(En){var bn=In({queryArgs:En,endpointDefinition:Sn,endpointName:dn});return(0,re.createSelector)(En===Tt?Zn:function(yn){var qe,Ot,St;return(St=(Ot=(qe=Nn(yn))==null?void 0:qe.queries)==null?void 0:Ot[bn])!=null?St:$t},Tn)}},buildMutationSelector:function(){return function(dn){var Sn,En;return En=typeof dn=="object"?(Sn=Se(dn))!=null?Sn:Tt:dn,(0,re.createSelector)(En===Tt?mr:function(bn){var yn,qe,Ot;return(Ot=(qe=(yn=Nn(bn))==null?void 0:yn.mutations)==null?void 0:qe[En])!=null?Ot:Lt},Tn)}},selectInvalidatedBy:function(dn,Sn){for(var En,bn=dn[Rn],yn=new Set,qe=0,Ot=Sn.map(le);qe<Ot.length;qe++){var St=Ot[qe],st=bn.provided[St.type];if(st)for(var wt=0,Bt=(En=St.id!==void 0?st[St.id]:O(Object.values(st)))!=null?En:[];wt<Bt.length;wt++)yn.add(Bt[wt])}return O(Array.from(yn.values()).map(function(mt){var rt=bn.queries[mt];return rt?[{queryCacheKey:mt,endpointName:rt.endpointName,originalArgs:rt.originalArgs}]:[]}))}};function Tn(dn){return S(S({},dn),{status:Sn=dn.status,isUninitialized:Sn===t.uninitialized,isLoading:Sn===t.pending,isSuccess:Sn===t.fulfilled,isError:Sn===t.rejected});var Sn}function Nn(dn){return dn[Rn]}}({serializeQueryArgs:ut,reducerPath:me}),Gt=jn.buildQuerySelector,un=jn.buildMutationSelector;$r(J.util,{selectInvalidatedBy:jn.selectInvalidatedBy});var sn=function(It){var In=It.serializeQueryArgs,Rn=It.queryThunk,Zn=It.mutationThunk,mr=It.api,Tn=It.context,Nn=new Map,dn=new Map,Sn=mr.internalActions,En=Sn.unsubscribeQueryResult,bn=Sn.removeMutationResult,yn=Sn.updateSubscriptionOptions;return{buildInitiateQuery:function(qe,Ot){var St=function(st,wt){var Bt=wt===void 0?{}:wt,mt=Bt.subscribe,rt=mt===void 0||mt,Oe=Bt.forceRefetch,Ie=Bt.subscriptionOptions,De=Bt[xe];return function(We,Ze){var Dt,Rt,Ve=In({queryArgs:st,endpointDefinition:Ot,endpointName:qe}),nn=Rn(((Dt={type:"query",subscribe:rt,forceRefetch:Oe,subscriptionOptions:Ie,endpointName:qe,originalArgs:st,queryCacheKey:Ve})[xe]=De,Dt)),xn=mr.endpoints[qe].select(st),hn=We(nn),gr=xn(Ze()),Xn=hn.requestId,gn=hn.abort,Vn=gr.requestId!==Xn,ao=(Rt=Nn.get(We))==null?void 0:Rt[Ve],fn=function(){return xn(Ze())},$n=Object.assign(De?hn.then(fn):Vn&&!ao?Promise.resolve(gr):Promise.all([ao,hn]).then(fn),{arg:st,requestId:Xn,subscriptionOptions:Ie,queryCacheKey:Ve,abort:gn,unwrap:function(){return E(this,null,function(){var Rr;return r(this,function(Ga){switch(Ga.label){case 0:return[4,$n];case 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Ie=Zn({type:"mutation",endpointName:qe,originalArgs:Ot,track:Bt,fixedCacheKey:mt}),De=rt(Ie),We=De.requestId,Ze=De.abort,Dt=De.unwrap,Rt=De.unwrap().then(function(hn){return{data:hn}}).catch(function(hn){return{error:hn}}),Ve=function(){rt(bn({requestId:We,fixedCacheKey:mt}))},nn=Object.assign(Rt,{arg:De.arg,requestId:We,abort:Ze,unwrap:Dt,unsubscribe:Ve,reset:Ve}),xn=dn.get(rt)||{};return dn.set(rt,xn),xn[We]=nn,nn.then(function(){delete xn[We],Object.keys(xn).length||dn.delete(rt)}),mt&&(xn[mt]=nn,nn.then(function(){xn[mt]===nn&&(delete xn[mt],Object.keys(xn).length||dn.delete(rt))})),nn}}},getRunningQueryThunk:function(qe,Ot){return function(St){var st,wt=In({queryArgs:Ot,endpointDefinition:Tn.endpointDefinitions[qe],endpointName:qe});return(st=Nn.get(St))==null?void 0:st[wt]}},getRunningMutationThunk:function(qe,Ot){return function(St){var st;return(st=dn.get(St))==null?void 0:st[Ot]}},getRunningQueriesThunk:function(){return function(qe){return Object.values(Nn.get(qe)||{}).filter(ke)}},getRunningMutationsThunk:function(){return function(qe){return Object.values(dn.get(qe)||{}).filter(ke)}},getRunningOperationPromises:function(){var qe=function(Ot){return Array.from(Ot.values()).flatMap(function(St){return St?Object.values(St):[]})};return o(o([],qe(Nn)),qe(dn)).filter(ke)},removalWarning:function(){throw new Error(`This method had to be removed due to a conceptual bug in RTK.
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i.jsxs(W,{onMouseEnter:w,onMouseLeave:y,sx:{position:"relative",w:"full",h:t,alignItems:"center",justifyContent:"center",pointerEvents:s?"auto":"none",opacity:s?1:.5},children:[i.jsx(fl,{draggableData:S,droppableData:k,imageDTO:m,isDropDisabled:P||!s,onClickReset:b,postUploadAction:_,resetTooltip:"Reset Control Image",withResetIcon:!!m}),i.jsx(Re,{sx:{position:"absolute",top:0,insetInlineStart:0,w:"full",h:"full",opacity:P?1:0,transitionProperty:"common",transitionDuration:"normal",pointerEvents:"none"},children:i.jsx(fl,{draggableData:S,droppableData:k,imageDTO:v,isUploadDisabled:!0,isDropDisabled:!s,onClickReset:b,resetTooltip:"Reset Control Image",withResetIcon:!!m})}),d.includes(a)&&i.jsx(W,{sx:{position:"absolute",top:0,insetInlineStart:0,w:"full",h:"full",alignItems:"center",justifyContent:"center",opacity:.8,borderRadius:"base",bg:"base.400",_dark:{bg:"base.900"}},children:i.jsx(hl,{size:"xl",sx:{color:"base.100",_dark:{color:"base.400"}}})})]})},Tk=f.memo(Yre),Ts=()=>{const 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diff --git a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-6fe89879.js b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-139ac716.js
similarity index 99%
rename from invokeai/frontend/web/dist/assets/ThemeLocaleProvider-6fe89879.js
rename to invokeai/frontend/web/dist/assets/ThemeLocaleProvider-139ac716.js
index 6f86cc3e56..70d8fbf6f2 100644
--- a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-6fe89879.js
+++ b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-139ac716.js
@@ -1,4 +1,4 @@
-import{B as m,g7 as Je,A as y,a5 as Ka,g8 as Xa,af as va,aj as d,g9 as b,ga as t,gb as Ya,gc as h,gd as ua,ge as Ja,gf as Qa,aL as Za,gg as et,ad as rt,gh as at}from"./index-dd054634.js";import{s as fa,n as o,t as tt,o as ha,p as ot,q as ma,v as ga,w as ya,x as it,y as Sa,z as pa,A as xr,B as nt,D as lt,E as st,F as xa,G as $a,H as ka,J as dt,K as _a,L as ct,M as bt,N as vt,O as ut,Q as wa,R as ft,S as ht,T as mt,U as gt,V as yt,W as St,e as pt,X as xt}from"./menu-b42141e3.js";var za=String.raw,Ca=za`
+import{B as m,g7 as Je,A as y,a5 as Ka,g8 as Xa,af as va,aj as d,g9 as b,ga as t,gb as Ya,gc as h,gd as ua,ge as Ja,gf as Qa,aL as Za,gg as et,ad as rt,gh as at}from"./index-815faab3.js";import{s as fa,n as o,t as tt,o as ha,p as ot,q as ma,v as ga,w as ya,x as it,y as Sa,z as pa,A as xr,B as nt,D as lt,E as st,F as xa,G as $a,H as ka,J as dt,K as _a,L as ct,M as bt,N as vt,O as ut,Q as wa,R as ft,S as ht,T as mt,U as gt,V as yt,W as St,e as pt,X as xt}from"./menu-e9f8a36e.js";var za=String.raw,Ca=za`
   :root,
   :host {
     --chakra-vh: 100vh;
diff --git a/invokeai/frontend/web/dist/assets/index-dd054634.js b/invokeai/frontend/web/dist/assets/index-815faab3.js
similarity index 80%
rename from invokeai/frontend/web/dist/assets/index-dd054634.js
rename to invokeai/frontend/web/dist/assets/index-815faab3.js
index fbca2591d7..ff2607543b 100644
--- a/invokeai/frontend/web/dist/assets/index-dd054634.js
+++ b/invokeai/frontend/web/dist/assets/index-815faab3.js
@@ -6,7 +6,7 @@ function b7(e,t){for(var n=0;n<t.length;n++){const r=t[n];if(typeof r!="string"&
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s.componentDidUpdate!="function"||a===e.memoizedProps&&p===e.memoizedState||(t.flags|=4),typeof s.getSnapshotBeforeUpdate!="function"||a===e.memoizedProps&&p===e.memoizedState||(t.flags|=1024),r=!1)}return YC(e,t,n,r,o,i)}function YC(e,t,n,r,i,o){cN(e,t);var s=(t.flags&128)!==0;if(!r&&!s)return i&&o8(t,n,!1),Pa(e,t,o);r=t.stateNode,qZ.current=t;var a=s&&typeof n.getDerivedStateFromError!="function"?null:r.render();return t.flags|=1,e!==null&&s?(t.child=hf(t,e.child,null,o),t.child=hf(t,null,a,o)):ri(e,t,a,o),t.memoizedState=r.state,i&&o8(t,n,!0),t.child}function dN(e){var t=e.stateNode;t.pendingContext?i8(e,t.pendingContext,t.pendingContext!==t.context):t.context&&i8(e,t.context,!1),C4(e,t.containerInfo)}function S8(e,t,n,r,i){return ff(),v4(i),t.flags|=256,ri(e,t,n,r),t.child}var QC={dehydrated:null,treeContext:null,retryLane:0};function ZC(e){return{baseLanes:e,cachePool:null,transitions:null}}function fN(e,t,n){var 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l={mode:"hidden",children:r.children};return!(s&1)&&t.child!==i?(r=t.child,r.childLanes=0,r.pendingProps=l,t.deletions=null):(r=Rl(i,l),r.subtreeFlags=i.subtreeFlags&14680064),a!==null?o=Rl(a,o):(o=Vu(o,s,n,null),o.flags|=2),o.return=t,r.return=t,r.sibling=o,t.child=r,r=o,o=t.child,s=e.child.memoizedState,s=s===null?ZC(n):{baseLanes:s.baseLanes|n,cachePool:null,transitions:s.transitions},o.memoizedState=s,o.childLanes=e.childLanes&~n,t.memoizedState=QC,r}return o=e.child,e=o.sibling,r=Rl(o,{mode:"visible",children:r.children}),!(t.mode&1)&&(r.lanes=n),r.return=t,r.sibling=null,e!==null&&(n=t.deletions,n===null?(t.deletions=[e],t.flags|=16):n.push(e)),t.child=r,t.memoizedState=null,r}function I4(e,t){return t=N_({mode:"visible",children:t},e.mode,0,null),t.return=e,e.child=t}function a0(e,t,n,r){return r!==null&&v4(r),hf(t,e.child,null,n),e=I4(t,t.pendingProps.children),e.flags|=2,t.memoizedState=null,e}function KZ(e,t,n,r,i,o,s){if(n)return t.flags&256?(t.flags&=-257,r=Kw(Error(ge(422))),a0(e,t,s,r)):t.memoizedState!==null?(t.child=e.child,t.flags|=128,null):(o=r.fallback,i=t.mode,r=N_({mode:"visible",children:r.children},i,0,null),o=Vu(o,i,s,null),o.flags|=2,r.return=t,o.return=t,r.sibling=o,t.child=r,t.mode&1&&hf(t,e.child,null,s),t.child.memoizedState=ZC(s),t.memoizedState=QC,o);if(!(t.mode&1))return a0(e,t,s,null);if(i.data==="$!"){if(r=i.nextSibling&&i.nextSibling.dataset,r)var a=r.dgst;return r=a,o=Error(ge(419)),r=Kw(o,r,void 0),a0(e,t,s,r)}if(a=(s&e.childLanes)!==0,Si||a){if(r=pr,r!==null){switch(s&-s){case 4:i=2;break;case 16:i=8;break;case 64:case 128:case 256:case 512:case 1024:case 2048:case 4096:case 8192:case 16384:case 32768:case 65536:case 131072:case 262144:case 524288:case 1048576:case 2097152:case 4194304:case 8388608:case 16777216:case 33554432:case 67108864:i=32;break;case 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n=t.child;n!==null;){if(n.tag===5||n.tag===6)e.appendChild(n.stateNode);else if(n.tag!==4&&n.child!==null){n.child.return=n,n=n.child;continue}if(n===t)break;for(;n.sibling===null;){if(n.return===null||n.return===t)return;n=n.return}n.sibling.return=n.return,n=n.sibling}};JC=function(){};gN=function(e,t,n,r){var i=e.memoizedProps;if(i!==r){e=t.stateNode,Lu(As.current);var o=null;switch(n){case"input":i=SC(e,i),r=SC(e,r),o=[];break;case"select":i=bn({},i,{value:void 0}),r=bn({},r,{value:void 0}),o=[];break;case"textarea":i=CC(e,i),r=CC(e,r),o=[];break;default:typeof i.onClick!="function"&&typeof r.onClick=="function"&&(e.onclick=zv)}EC(n,r);var s;n=null;for(u in i)if(!r.hasOwnProperty(u)&&i.hasOwnProperty(u)&&i[u]!=null)if(u==="style"){var a=i[u];for(s in a)a.hasOwnProperty(s)&&(n||(n={}),n[s]="")}else 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r.is=="string"?e=s.createElement(n,{is:r.is}):(e=s.createElement(n),n==="select"&&(s=e,r.multiple?s.multiple=!0:r.size&&(s.size=r.size))):e=s.createElementNS(e,n),e[_s]=t,e[qp]=r,pN(e,t,!1,!1),t.stateNode=e;e:{switch(s=AC(n,r),n){case"dialog":en("cancel",e),en("close",e),i=r;break;case"iframe":case"object":case"embed":en("load",e),i=r;break;case"video":case"audio":for(i=0;i<up.length;i++)en(up[i],e);i=r;break;case"source":en("error",e),i=r;break;case"img":case"image":case"link":en("error",e),en("load",e),i=r;break;case"details":en("toggle",e),i=r;break;case"input":kP(e,r),i=SC(e,r),en("invalid",e);break;case"option":i=r;break;case"select":e._wrapperState={wasMultiple:!!r.multiple},i=bn({},r,{value:void 0}),en("invalid",e);break;case"textarea":MP(e,r),i=CC(e,r),en("invalid",e);break;default:i=r}EC(n,i),a=i;for(o in a)if(a.hasOwnProperty(o)){var l=a[o];o==="style"?W7(e,l):o==="dangerouslySetInnerHTML"?(l=l?l.__html:void 0,l!=null&&G7(e,l)):o==="children"?typeof 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o=n.lanes|n.childLanes;if(BQ(e,o),e===pr&&(jn=pr=null,Or=0),!(n.subtreeFlags&2064)&&!(n.flags&2064)||u0||(u0=!0,RN(Dv,function(){return Wd(),null})),o=(n.flags&15990)!==0,n.subtreeFlags&15990||o){o=bo.transition,bo.transition=null;var s=Dt;Dt=1;var a=vt;vt|=4,M4.current=null,JZ(e,n),bN(n,e),TZ(FC),Fv=!!$C,FC=$C=null,e.current=n,eJ(n),OQ(),vt=a,Dt=s,bo.transition=o}else e.current=n;if(u0&&(u0=!1,_l=e,e1=i),o=e.pendingLanes,o===0&&(Al=null),MQ(n.stateNode),Ei(e,Mn()),t!==null)for(r=e.onRecoverableError,n=0;n<t.length;n++)i=t[n],r(i.value,{componentStack:i.stack,digest:i.digest});if(Jv)throw Jv=!1,e=i3,i3=null,e;return e1&1&&e.tag!==0&&Wd(),o=e.pendingLanes,o&1?e===o3?Cp++:(Cp=0,o3=e):Cp=0,Zl(),null}function Wd(){if(_l!==null){var e=oM(e1),t=bo.transition,n=Dt;try{if(bo.transition=null,Dt=16>e?16:e,_l===null)var r=!1;else{if(e=_l,_l=null,e1=0,vt&6)throw Error(ge(331));var i=vt;for(vt|=4,Ae=e.current;Ae!==null;){var o=Ae,s=o.child;if(Ae.flags&16){var a=o.deletions;if(a!==null){for(var 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n=0;switch(e.tag){case 13:var r=e.stateNode,i=e.memoizedState;i!==null&&(n=i.retryLane);break;case 19:r=e.stateNode;break;default:throw Error(ge(314))}r!==null&&r.delete(t),AN(e,n)}var PN;PN=function(e,t,n){if(e!==null)if(e.memoizedProps!==t.pendingProps||Ci.current)Si=!0;else{if(!(e.lanes&n)&&!(t.flags&128))return Si=!1,XZ(e,t,n);Si=!!(e.flags&131072)}else Si=!1,cn&&t.flags&1048576&&kM(t,Hv,t.index);switch(t.lanes=0,t.tag){case 2:var r=t.type;iv(e,t),e=t.pendingProps;var i=df(t,Hr.current);Hd(t,n),i=P4(null,t,r,e,i,n);var o=R4();return t.flags|=1,typeof i=="object"&&i!==null&&typeof i.render=="function"&&i.$$typeof===void 0?(t.tag=1,t.memoizedState=null,t.updateQueue=null,Ti(r)?(o=!0,jv(t)):o=!1,t.memoizedState=i.state!==null&&i.state!==void 0?i.state:null,x4(t),i.updater=O_,t.stateNode=i,i._reactInternals=t,qC(t,r,e,n),t=YC(null,t,r,!0,o,n)):(t.tag=0,cn&&o&&m4(t),ri(null,t,i,n),t=t.child),t;case 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r=[];for(const i of n){if(i.status==="aborted")return je;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return Wr.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:s}=i;if(o.status==="aborted"||s.status==="aborted")return je;o.status==="dirty"&&t.dirty(),s.status==="dirty"&&t.dirty(),(typeof s.value<"u"||i.alwaysSet)&&(r[o.value]=s.value)}return{status:t.value,value:r}}}const je=Object.freeze({status:"aborted"}),jD=e=>({status:"dirty",value:e}),li=e=>({status:"valid",value:e}),T3=e=>e.status==="aborted",E3=e=>e.status==="dirty",p1=e=>e.status==="valid",g1=e=>typeof Promise<"u"&&e instanceof Promise;var Le;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(Le||(Le={}));class Ms{constructor(t,n,r,i){this._cachedPath=[],this.parent=t,this.data=n,this._path=r,this._key=i}get path(){return this._cachedPath.length||(this._key instanceof Array?this._cachedPath.push(...this._path,...this._key):this._cachedPath.push(...this._path,this._key)),this._cachedPath}}const I9=(e,t)=>{if(p1(t))return{success:!0,data:t.value};if(!e.common.issues.length)throw new Error("Validation failed but no issues detected.");return{success:!1,get error(){if(this._error)return this._error;const n=new Xo(e.common.issues);return this._error=n,this._error}}};function Qe(e){if(!e)return{};const{errorMap:t,invalid_type_error:n,required_error:r,description:i}=e;if(t&&(n||r))throw new Error(`Can't use "invalid_type_error" or "required_error" in conjunction with custom error map.`);return t?{errorMap:t,description:i}:{errorMap:(s,a)=>s.code!=="invalid_type"?{message:a.defaultError}:typeof a.data>"u"?{message:r??a.defaultError}:{message:n??a.defaultError},description:i}}class tt{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return ml(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:ml(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new Wr,ctx:{common:t.parent.common,data:t.data,parsedType:ml(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(g1(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:ml(t)},o=this._parseSync({data:t,path:i.path,parent:i});return I9(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:ml(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(g1(i)?i:Promise.resolve(i));return I9(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const s=t(i),a=()=>o.addIssue({code:me.custom,...r(i)});return typeof Promise<"u"&&s instanceof Promise?s.then(l=>l?!0:(a(),!1)):s?!0:(a(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new ts({schema:this,typeName:Ue.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return _a.create(this,this._def)}nullable(){return ic.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return Yo.create(this,this._def)}promise(){return xf.create(this,this._def)}or(t){return pg.create([this,t],this._def)}and(t){return gg.create(this,t,this._def)}transform(t){return new ts({...Qe(this._def),schema:this,typeName:Ue.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new bg({...Qe(this._def),innerType:this,defaultValue:n,typeName:Ue.ZodDefault})}brand(){return new HD({typeName:Ue.ZodBranded,type:this,...Qe(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new _1({...Qe(this._def),innerType:this,catchValue:n,typeName:Ue.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return hm.create(this,t)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const fle=/^c[^\s-]{8,}$/i,hle=/^[a-z][a-z0-9]*$/,ple=/[0-9A-HJKMNP-TV-Z]{26}/,gle=/^([a-f0-9]{8}-[a-f0-9]{4}-[1-5][a-f0-9]{3}-[a-f0-9]{4}-[a-f0-9]{12}|00000000-0000-0000-0000-000000000000)$/i,mle=/^(([^<>()[\]\\.,;:\s@\"]+(\.[^<>()[\]\\.,;:\s@\"]+)*)|(\".+\"))@((\[(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\])|(\[IPv6:(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))\])|([A-Za-z0-9]([A-Za-z0-9-]*[A-Za-z0-9])*(\.[A-Za-z]{2,})+))$/,yle=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,vle=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,_le=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,ble=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function Sle(e,t){return!!((t==="v4"||!t)&&vle.test(e)||(t==="v6"||!t)&&_le.test(e))}class Ho extends tt{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:me.invalid_string,...Le.errToObj(r)}),this.nonempty=t=>this.min(1,Le.errToObj(t)),this.trim=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==xe.string){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.string,received:o.parsedType}),je}const r=new Wr;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?Te(i,{code:me.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&Te(i,{code:me.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")mle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"email",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")yle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"emoji",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")gle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"uuid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")fle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"cuid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")hle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"cuid2",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")ple.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"ulid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),Te(i,{validation:"url",code:me.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"regex",code:me.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?ble(o).test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?Sle(t.data,o.version)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"ip",code:me.invalid_string,message:o.message}),r.dirty()):wt.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new Ho({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...Le.errToObj(t)})}url(t){return this._addCheck({kind:"url",...Le.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...Le.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...Le.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...Le.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...Le.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...Le.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...Le.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...Le.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...Le.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...Le.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...Le.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...Le.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...Le.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...Le.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...Le.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Ho.create=e=>{var t;return new Ho({checks:[],typeName:Ue.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Qe(e)})};function wle(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class zl extends tt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==xe.number){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.number,received:o.parsedType}),je}let r;const i=new Wr;for(const o of this._def.checks)o.kind==="int"?wt.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Te(r,{code:me.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?wle(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_finite,message:o.message}),i.dirty()):wt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Le.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Le.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Le.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Le.toString(n))}setLimit(t,n,r,i){return new zl({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Le.toString(i)}]})}_addCheck(t){return new zl({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:Le.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:Le.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:Le.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:Le.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:Le.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Le.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:Le.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:Le.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:Le.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&wt.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}zl.create=e=>new zl({checks:[],typeName:Ue.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...Qe(e)});class Vl extends tt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==xe.bigint){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.bigint,received:o.parsedType}),je}let r;const i=new Wr;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):wt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Le.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Le.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Le.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Le.toString(n))}setLimit(t,n,r,i){return new Vl({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Le.toString(i)}]})}_addCheck(t){return new Vl({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:Le.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:Le.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:Le.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:Le.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Le.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Vl.create=e=>{var t;return new Vl({checks:[],typeName:Ue.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Qe(e)})};class dg extends tt{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==xe.boolean){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.boolean,received:r.parsedType}),je}return li(t.data)}}dg.create=e=>new dg({typeName:Ue.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...Qe(e)});class nc extends tt{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==xe.date){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.date,received:o.parsedType}),je}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_date}),je}const r=new Wr;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):wt.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new nc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:Le.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:Le.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}nc.create=e=>new nc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:Ue.ZodDate,...Qe(e)});class m1 extends tt{_parse(t){if(this._getType(t)!==xe.symbol){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.symbol,received:r.parsedType}),je}return li(t.data)}}m1.create=e=>new m1({typeName:Ue.ZodSymbol,...Qe(e)});class fg extends tt{_parse(t){if(this._getType(t)!==xe.undefined){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.undefined,received:r.parsedType}),je}return li(t.data)}}fg.create=e=>new fg({typeName:Ue.ZodUndefined,...Qe(e)});class hg extends tt{_parse(t){if(this._getType(t)!==xe.null){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.null,received:r.parsedType}),je}return li(t.data)}}hg.create=e=>new hg({typeName:Ue.ZodNull,...Qe(e)});class wf extends tt{constructor(){super(...arguments),this._any=!0}_parse(t){return li(t.data)}}wf.create=e=>new wf({typeName:Ue.ZodAny,...Qe(e)});class Gu extends tt{constructor(){super(...arguments),this._unknown=!0}_parse(t){return li(t.data)}}Gu.create=e=>new Gu({typeName:Ue.ZodUnknown,...Qe(e)});class Oa extends tt{_parse(t){const n=this._getOrReturnCtx(t);return Te(n,{code:me.invalid_type,expected:xe.never,received:n.parsedType}),je}}Oa.create=e=>new Oa({typeName:Ue.ZodNever,...Qe(e)});class y1 extends tt{_parse(t){if(this._getType(t)!==xe.undefined){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.void,received:r.parsedType}),je}return li(t.data)}}y1.create=e=>new y1({typeName:Ue.ZodVoid,...Qe(e)});class Yo extends tt{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==xe.array)return Te(n,{code:me.invalid_type,expected:xe.array,received:n.parsedType}),je;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(Te(n,{code:s?me.too_big:me.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(Te(n,{code:me.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(Te(n,{code:me.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new Ms(n,s,n.path,a)))).then(s=>Wr.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new Ms(n,s,n.path,a)));return Wr.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Yo({...this._def,minLength:{value:t,message:Le.toString(n)}})}max(t,n){return new Yo({...this._def,maxLength:{value:t,message:Le.toString(n)}})}length(t,n){return new Yo({...this._def,exactLength:{value:t,message:Le.toString(n)}})}nonempty(t){return this.min(1,t)}}Yo.create=(e,t)=>new Yo({type:e,minLength:null,maxLength:null,exactLength:null,typeName:Ue.ZodArray,...Qe(t)});function yd(e){if(e instanceof gn){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=_a.create(yd(r))}return new gn({...e._def,shape:()=>t})}else return e instanceof Yo?new Yo({...e._def,type:yd(e.element)}):e instanceof _a?_a.create(yd(e.unwrap())):e instanceof ic?ic.create(yd(e.unwrap())):e instanceof Ns?Ns.create(e.items.map(t=>yd(t))):e}class gn extends tt{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=wt.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==xe.object){const u=this._getOrReturnCtx(t);return Te(u,{code:me.invalid_type,expected:xe.object,received:u.parsedType}),je}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof Oa&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const d=o[u],f=i.data[u];l.push({key:{status:"valid",value:u},value:d._parse(new Ms(i,f,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof Oa){const u=this._def.unknownKeys;if(u==="passthrough")for(const d of a)l.push({key:{status:"valid",value:d},value:{status:"valid",value:i.data[d]}});else if(u==="strict")a.length>0&&(Te(i,{code:me.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const d of a){const f=i.data[d];l.push({key:{status:"valid",value:d},value:u._parse(new Ms(i,f,i.path,d)),alwaysSet:d in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const d of l){const f=await d.key;u.push({key:f,value:await d.value,alwaysSet:d.alwaysSet})}return u}).then(u=>Wr.mergeObjectSync(r,u)):Wr.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return Le.errToObj,new gn({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=Le.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new gn({...this._def,unknownKeys:"strip"})}passthrough(){return new gn({...this._def,unknownKeys:"passthrough"})}extend(t){return new gn({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new gn({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:Ue.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new gn({...this._def,catchall:t})}pick(t){const n={};return wt.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new gn({...this._def,shape:()=>n})}omit(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new gn({...this._def,shape:()=>n})}deepPartial(){return yd(this)}partial(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new gn({...this._def,shape:()=>n})}required(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof _a;)o=o._def.innerType;n[r]=o}}),new gn({...this._def,shape:()=>n})}keyof(){return GD(wt.objectKeys(this.shape))}}gn.create=(e,t)=>new gn({shape:()=>e,unknownKeys:"strip",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});gn.strictCreate=(e,t)=>new gn({shape:()=>e,unknownKeys:"strict",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});gn.lazycreate=(e,t)=>new gn({shape:e,unknownKeys:"strip",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});class pg extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new Xo(a.ctx.common.issues));return Te(n,{code:me.invalid_union,unionErrors:s}),je}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},d=l._parseSync({data:n.data,path:n.path,parent:u});if(d.status==="valid")return d;d.status==="dirty"&&!o&&(o={result:d,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new Xo(l));return Te(n,{code:me.invalid_union,unionErrors:a}),je}}get options(){return this._def.options}}pg.create=(e,t)=>new pg({options:e,typeName:Ue.ZodUnion,...Qe(t)});const cv=e=>e instanceof yg?cv(e.schema):e instanceof ts?cv(e.innerType()):e instanceof vg?[e.value]:e instanceof jl?e.options:e instanceof _g?Object.keys(e.enum):e instanceof bg?cv(e._def.innerType):e instanceof fg?[void 0]:e instanceof hg?[null]:null;class ib extends tt{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.object)return Te(n,{code:me.invalid_type,expected:xe.object,received:n.parsedType}),je;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(Te(n,{code:me.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),je)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=cv(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new ib({typeName:Ue.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...Qe(r)})}}function A3(e,t){const n=ml(e),r=ml(t);if(e===t)return{valid:!0,data:e};if(n===xe.object&&r===xe.object){const i=wt.objectKeys(t),o=wt.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=A3(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===xe.array&&r===xe.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=A3(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===xe.date&&r===xe.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class gg extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(T3(o)||T3(s))return je;const a=A3(o.value,s.value);return a.valid?((E3(o)||E3(s))&&n.dirty(),{status:n.value,value:a.data}):(Te(r,{code:me.invalid_intersection_types}),je)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}gg.create=(e,t,n)=>new gg({left:e,right:t,typeName:Ue.ZodIntersection,...Qe(n)});class Ns extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.array)return Te(r,{code:me.invalid_type,expected:xe.array,received:r.parsedType}),je;if(r.data.length<this._def.items.length)return Te(r,{code:me.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),je;!this._def.rest&&r.data.length>this._def.items.length&&(Te(r,{code:me.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new Ms(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>Wr.mergeArray(n,s)):Wr.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new Ns({...this._def,rest:t})}}Ns.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new Ns({items:e,typeName:Ue.ZodTuple,rest:null,...Qe(t)})};class mg extends tt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.object)return Te(r,{code:me.invalid_type,expected:xe.object,received:r.parsedType}),je;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new Ms(r,a,r.path,a)),value:s._parse(new Ms(r,r.data[a],r.path,a))});return r.common.async?Wr.mergeObjectAsync(n,i):Wr.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof tt?new mg({keyType:t,valueType:n,typeName:Ue.ZodRecord,...Qe(r)}):new mg({keyType:Ho.create(),valueType:t,typeName:Ue.ZodRecord,...Qe(n)})}}class v1 extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.map)return Te(r,{code:me.invalid_type,expected:xe.map,received:r.parsedType}),je;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new Ms(r,a,r.path,[u,"key"])),value:o._parse(new Ms(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,d=await l.value;if(u.status==="aborted"||d.status==="aborted")return je;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,d=l.value;if(u.status==="aborted"||d.status==="aborted")return je;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}}}}v1.create=(e,t,n)=>new v1({valueType:t,keyType:e,typeName:Ue.ZodMap,...Qe(n)});class rc extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.set)return Te(r,{code:me.invalid_type,expected:xe.set,received:r.parsedType}),je;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(Te(r,{code:me.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(Te(r,{code:me.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const d of l){if(d.status==="aborted")return je;d.status==="dirty"&&n.dirty(),u.add(d.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new Ms(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new rc({...this._def,minSize:{value:t,message:Le.toString(n)}})}max(t,n){return new rc({...this._def,maxSize:{value:t,message:Le.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}rc.create=(e,t)=>new rc({valueType:e,minSize:null,maxSize:null,typeName:Ue.ZodSet,...Qe(t)});class Jd extends tt{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.function)return Te(n,{code:me.invalid_type,expected:xe.function,received:n.parsedType}),je;function r(a,l){return h1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,f1(),cg].filter(u=>!!u),issueData:{code:me.invalid_arguments,argumentsError:l}})}function i(a,l){return h1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,f1(),cg].filter(u=>!!u),issueData:{code:me.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;return this._def.returns instanceof xf?li(async(...a)=>{const l=new Xo([]),u=await this._def.args.parseAsync(a,o).catch(p=>{throw l.addIssue(r(a,p)),l}),d=await s(...u);return await this._def.returns._def.type.parseAsync(d,o).catch(p=>{throw l.addIssue(i(d,p)),l})}):li((...a)=>{const l=this._def.args.safeParse(a,o);if(!l.success)throw new Xo([r(a,l.error)]);const u=s(...l.data),d=this._def.returns.safeParse(u,o);if(!d.success)throw new Xo([i(u,d.error)]);return d.data})}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new Jd({...this._def,args:Ns.create(t).rest(Gu.create())})}returns(t){return new Jd({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new Jd({args:t||Ns.create([]).rest(Gu.create()),returns:n||Gu.create(),typeName:Ue.ZodFunction,...Qe(r)})}}class yg extends tt{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}yg.create=(e,t)=>new yg({getter:e,typeName:Ue.ZodLazy,...Qe(t)});class vg extends tt{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Te(n,{received:n.data,code:me.invalid_literal,expected:this._def.value}),je}return{status:"valid",value:t.data}}get value(){return this._def.value}}vg.create=(e,t)=>new vg({value:e,typeName:Ue.ZodLiteral,...Qe(t)});function GD(e,t){return new jl({values:e,typeName:Ue.ZodEnum,...Qe(t)})}class jl extends tt{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Te(n,{expected:wt.joinValues(r),received:n.parsedType,code:me.invalid_type}),je}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Te(n,{received:n.data,code:me.invalid_enum_value,options:r}),je}return li(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return jl.create(t)}exclude(t){return jl.create(this.options.filter(n=>!t.includes(n)))}}jl.create=GD;class _g extends tt{_parse(t){const n=wt.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==xe.string&&r.parsedType!==xe.number){const i=wt.objectValues(n);return Te(r,{expected:wt.joinValues(i),received:r.parsedType,code:me.invalid_type}),je}if(n.indexOf(t.data)===-1){const i=wt.objectValues(n);return Te(r,{received:r.data,code:me.invalid_enum_value,options:i}),je}return li(t.data)}get enum(){return this._def.values}}_g.create=(e,t)=>new _g({values:e,typeName:Ue.ZodNativeEnum,...Qe(t)});class xf extends tt{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.promise&&n.common.async===!1)return Te(n,{code:me.invalid_type,expected:xe.promise,received:n.parsedType}),je;const r=n.parsedType===xe.promise?n.data:Promise.resolve(n.data);return li(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}xf.create=(e,t)=>new xf({type:e,typeName:Ue.ZodPromise,...Qe(t)});class ts extends tt{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===Ue.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null;if(i.type==="preprocess"){const s=i.transform(r.data);return r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}const o={addIssue:s=>{Te(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?je:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?je:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!p1(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>p1(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);wt.assertNever(i)}}ts.create=(e,t,n)=>new ts({schema:e,typeName:Ue.ZodEffects,effect:t,...Qe(n)});ts.createWithPreprocess=(e,t,n)=>new ts({schema:t,effect:{type:"preprocess",transform:e},typeName:Ue.ZodEffects,...Qe(n)});class _a extends tt{_parse(t){return this._getType(t)===xe.undefined?li(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}_a.create=(e,t)=>new _a({innerType:e,typeName:Ue.ZodOptional,...Qe(t)});class ic extends tt{_parse(t){return this._getType(t)===xe.null?li(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}ic.create=(e,t)=>new ic({innerType:e,typeName:Ue.ZodNullable,...Qe(t)});class bg extends tt{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===xe.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}bg.create=(e,t)=>new bg({innerType:e,typeName:Ue.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...Qe(t)});class _1 extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return g1(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new Xo(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new Xo(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}_1.create=(e,t)=>new _1({innerType:e,typeName:Ue.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...Qe(t)});class b1 extends tt{_parse(t){if(this._getType(t)!==xe.nan){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.nan,received:r.parsedType}),je}return{status:"valid",value:t.data}}}b1.create=e=>new b1({typeName:Ue.ZodNaN,...Qe(e)});const xle=Symbol("zod_brand");class HD extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class hm extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?je:o.status==="dirty"?(n.dirty(),jD(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?je:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new hm({in:t,out:n,typeName:Ue.ZodPipeline})}}const WD=(e,t={},n)=>e?wf.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):wf.create(),Cle={object:gn.lazycreate};var Ue;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline"})(Ue||(Ue={}));const Tle=(e,t={message:`Input not instance of ${e.name}`})=>WD(n=>n instanceof e,t),qD=Ho.create,KD=zl.create,Ele=b1.create,Ale=Vl.create,XD=dg.create,Ple=nc.create,Rle=m1.create,Ole=fg.create,kle=hg.create,Ile=wf.create,Mle=Gu.create,Nle=Oa.create,Lle=y1.create,Dle=Yo.create,$le=gn.create,Fle=gn.strictCreate,Ble=pg.create,Ule=ib.create,zle=gg.create,Vle=Ns.create,jle=mg.create,Gle=v1.create,Hle=rc.create,Wle=Jd.create,qle=yg.create,Kle=vg.create,Xle=jl.create,Yle=_g.create,Qle=xf.create,M9=ts.create,Zle=_a.create,Jle=ic.create,eue=ts.createWithPreprocess,tue=hm.create,nue=()=>qD().optional(),rue=()=>KD().optional(),iue=()=>XD().optional(),oue={string:e=>Ho.create({...e,coerce:!0}),number:e=>zl.create({...e,coerce:!0}),boolean:e=>dg.create({...e,coerce:!0}),bigint:e=>Vl.create({...e,coerce:!0}),date:e=>nc.create({...e,coerce:!0})},sue=je;var xt=Object.freeze({__proto__:null,defaultErrorMap:cg,setErrorMap:cle,getErrorMap:f1,makeIssue:h1,EMPTY_PATH:dle,addIssueToContext:Te,ParseStatus:Wr,INVALID:je,DIRTY:jD,OK:li,isAborted:T3,isDirty:E3,isValid:p1,isAsync:g1,get util(){return wt},get objectUtil(){return C3},ZodParsedType:xe,getParsedType:ml,ZodType:tt,ZodString:Ho,ZodNumber:zl,ZodBigInt:Vl,ZodBoolean:dg,ZodDate:nc,ZodSymbol:m1,ZodUndefined:fg,ZodNull:hg,ZodAny:wf,ZodUnknown:Gu,ZodNever:Oa,ZodVoid:y1,ZodArray:Yo,ZodObject:gn,ZodUnion:pg,ZodDiscriminatedUnion:ib,ZodIntersection:gg,ZodTuple:Ns,ZodRecord:mg,ZodMap:v1,ZodSet:rc,ZodFunction:Jd,ZodLazy:yg,ZodLiteral:vg,ZodEnum:jl,ZodNativeEnum:_g,ZodPromise:xf,ZodEffects:ts,ZodTransformer:ts,ZodOptional:_a,ZodNullable:ic,ZodDefault:bg,ZodCatch:_1,ZodNaN:b1,BRAND:xle,ZodBranded:HD,ZodPipeline:hm,custom:WD,Schema:tt,ZodSchema:tt,late:Cle,get ZodFirstPartyTypeKind(){return Ue},coerce:oue,any:Ile,array:Dle,bigint:Ale,boolean:XD,date:Ple,discriminatedUnion:Ule,effect:M9,enum:Xle,function:Wle,instanceof:Tle,intersection:zle,lazy:qle,literal:Kle,map:Gle,nan:Ele,nativeEnum:Yle,never:Nle,null:kle,nullable:Jle,number:KD,object:$le,oboolean:iue,onumber:rue,optional:Zle,ostring:nue,pipeline:tue,preprocess:eue,promise:Qle,record:jle,set:Hle,strictObject:Fle,string:qD,symbol:Rle,transformer:M9,tuple:Vle,undefined:Ole,union:Ble,unknown:Mle,void:Lle,NEVER:sue,ZodIssueCode:me,quotelessJson:ule,ZodError:Xo});const aue=xt.string(),iRe=e=>aue.safeParse(e).success,lue=xt.string(),oRe=e=>lue.safeParse(e).success,uue=xt.string(),sRe=e=>uue.safeParse(e).success,cue=xt.string(),aRe=e=>cue.safeParse(e).success,due=xt.number().int().min(1),lRe=e=>due.safeParse(e).success,fue=xt.number().min(1),uRe=e=>fue.safeParse(e).success,hue=xt.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),cRe=e=>hue.safeParse(e).success,dRe={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler Ancestral",kdpm_2_a:"KDPM 2 Ancestral"},pue=xt.number().int().min(0).max(lle),fRe=e=>pue.safeParse(e).success,gue=xt.number().multipleOf(8).min(64),hRe=e=>gue.safeParse(e).success,mue=xt.number().multipleOf(8).min(64),pRe=e=>mue.safeParse(e).success,pm=xt.enum(["sd-1","sd-2","sdxl","sdxl-refiner"]),bT=xt.object({model_name:xt.string().min(1),base_model:pm,model_type:xt.literal("main")}),gRe=e=>bT.safeParse(e).success,YD=xt.object({model_name:xt.string().min(1),base_model:xt.literal("sdxl-refiner"),model_type:xt.literal("main")}),mRe=e=>YD.safeParse(e).success,yue=xt.object({model_name:xt.string().min(1),base_model:pm,model_type:xt.literal("onnx")}),QD=xt.union([bT,yue]),vue=xt.object({model_name:xt.string().min(1),base_model:pm}),yRe=xt.object({model_name:xt.string().min(1),base_model:pm}),vRe=xt.object({model_name:xt.string().min(1),base_model:pm}),_ue=xt.number().min(0).max(1),_Re=e=>_ue.safeParse(e).success;xt.enum(["fp16","fp32"]);const bue=xt.number().min(1).max(10),bRe=e=>bue.safeParse(e).success,Sue=xt.number().min(0).max(1),SRe=e=>Sue.safeParse(e).success,Da={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",seamBlur:16,seamSize:96,seamSteps:30,seamStrength:.7,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,shouldUseNoiseSettings:!1,steps:50,threshold:0,tileSize:32,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null},wue=Da,ZD=yn({name:"generation",initialState:wue,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=bl(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=bl(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...Da}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 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n=t.child;n!==null;){if(n.tag===5||n.tag===6)e.appendChild(n.stateNode);else if(n.tag!==4&&n.child!==null){n.child.return=n,n=n.child;continue}if(n===t)break;for(;n.sibling===null;){if(n.return===null||n.return===t)return;n=n.return}n.sibling.return=n.return,n=n.sibling}};JC=function(){};gN=function(e,t,n,r){var i=e.memoizedProps;if(i!==r){e=t.stateNode,Lu(As.current);var o=null;switch(n){case"input":i=SC(e,i),r=SC(e,r),o=[];break;case"select":i=bn({},i,{value:void 0}),r=bn({},r,{value:void 0}),o=[];break;case"textarea":i=CC(e,i),r=CC(e,r),o=[];break;default:typeof i.onClick!="function"&&typeof r.onClick=="function"&&(e.onclick=zv)}EC(n,r);var s;n=null;for(u in i)if(!r.hasOwnProperty(u)&&i.hasOwnProperty(u)&&i[u]!=null)if(u==="style"){var a=i[u];for(s in a)a.hasOwnProperty(s)&&(n||(n={}),n[s]="")}else 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r.is=="string"?e=s.createElement(n,{is:r.is}):(e=s.createElement(n),n==="select"&&(s=e,r.multiple?s.multiple=!0:r.size&&(s.size=r.size))):e=s.createElementNS(e,n),e[_s]=t,e[qp]=r,pN(e,t,!1,!1),t.stateNode=e;e:{switch(s=AC(n,r),n){case"dialog":en("cancel",e),en("close",e),i=r;break;case"iframe":case"object":case"embed":en("load",e),i=r;break;case"video":case"audio":for(i=0;i<up.length;i++)en(up[i],e);i=r;break;case"source":en("error",e),i=r;break;case"img":case"image":case"link":en("error",e),en("load",e),i=r;break;case"details":en("toggle",e),i=r;break;case"input":IP(e,r),i=SC(e,r),en("invalid",e);break;case"option":i=r;break;case"select":e._wrapperState={wasMultiple:!!r.multiple},i=bn({},r,{value:void 0}),en("invalid",e);break;case"textarea":NP(e,r),i=CC(e,r),en("invalid",e);break;default:i=r}EC(n,i),a=i;for(o in a)if(a.hasOwnProperty(o)){var l=a[o];o==="style"?W7(e,l):o==="dangerouslySetInnerHTML"?(l=l?l.__html:void 0,l!=null&&G7(e,l)):o==="children"?typeof 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t.flags&128?(t.lanes=n,t):(r=r!==null,r!==(e!==null&&e.memoizedState!==null)&&r&&(t.child.flags|=8192,t.mode&1&&(e===null||mn.current&1?tr===0&&(tr=3):B4())),t.updateQueue!==null&&(t.flags|=4),Fr(t),null);case 4:return pf(),JC(e,t),e===null&&Hp(t.stateNode.containerInfo),Fr(t),null;case 10:return w4(t.type._context),Fr(t),null;case 17:return Ti(t.type)&&Vv(),Fr(t),null;case 19:if(rn(mn),o=t.memoizedState,o===null)return 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Zt(mn,mn.current&1|2),t.child}e=e.sibling}o.tail!==null&&Mn()>mf&&(t.flags|=128,r=!0,Fh(o,!1),t.lanes=4194304)}else{if(!r)if(e=Xv(s),e!==null){if(t.flags|=128,r=!0,n=e.updateQueue,n!==null&&(t.updateQueue=n,t.flags|=4),Fh(o,!0),o.tail===null&&o.tailMode==="hidden"&&!s.alternate&&!cn)return Fr(t),null}else 2*Mn()-o.renderingStartTime>mf&&n!==1073741824&&(t.flags|=128,r=!0,Fh(o,!1),t.lanes=4194304);o.isBackwards?(s.sibling=t.child,t.child=s):(n=o.last,n!==null?n.sibling=s:t.child=s,o.last=s)}return o.tail!==null?(t=o.tail,o.rendering=t,o.tail=t.sibling,o.renderingStartTime=Mn(),t.sibling=null,n=mn.current,Zt(mn,r?n&1|2:n&1),t):(Fr(t),null);case 22:case 23:return F4(),r=t.memoizedState!==null,e!==null&&e.memoizedState!==null!==r&&(t.flags|=8192),r&&t.mode&1?zi&1073741824&&(Fr(t),t.subtreeFlags&6&&(t.flags|=8192)):Fr(t),null;case 24:return null;case 25:return null}throw Error(ge(156,t.tag))}function QZ(e,t){switch(v4(t),t.tag){case 1:return 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i)Object.prototype.hasOwnProperty.call(i,s)&&o.push(s);return o},e.find=(i,o)=>{for(const s of i)if(o(s))return s},e.isInteger=typeof Number.isInteger=="function"?i=>Number.isInteger(i):i=>typeof i=="number"&&isFinite(i)&&Math.floor(i)===i;function r(i,o=" | "){return i.map(s=>typeof s=="string"?`'${s}'`:s).join(o)}e.joinValues=r,e.jsonStringifyReplacer=(i,o)=>typeof o=="bigint"?o.toString():o})(wt||(wt={}));var C3;(function(e){e.mergeShapes=(t,n)=>({...t,...n})})(C3||(C3={}));const xe=wt.arrayToEnum(["string","nan","number","integer","float","boolean","date","bigint","symbol","function","undefined","null","array","object","unknown","promise","void","never","map","set"]),ml=e=>{switch(typeof e){case"undefined":return xe.undefined;case"string":return xe.string;case"number":return isNaN(e)?xe.nan:xe.number;case"boolean":return xe.boolean;case"function":return xe.function;case"bigint":return xe.bigint;case"symbol":return xe.symbol;case"object":return Array.isArray(e)?xe.array:e===null?xe.null:e.then&&typeof e.then=="function"&&e.catch&&typeof e.catch=="function"?xe.promise:typeof Map<"u"&&e instanceof Map?xe.map:typeof Set<"u"&&e instanceof Set?xe.set:typeof Date<"u"&&e instanceof Date?xe.date:xe.object;default:return xe.unknown}},me=wt.arrayToEnum(["invalid_type","invalid_literal","custom","invalid_union","invalid_union_discriminator","invalid_enum_value","unrecognized_keys","invalid_arguments","invalid_return_type","invalid_date","invalid_string","too_small","too_big","invalid_intersection_types","not_multiple_of","not_finite"]),ule=e=>JSON.stringify(e,null,2).replace(/"([^"]+)":/g,"$1:");class Xo extends Error{constructor(t){super(),this.issues=[],this.addIssue=r=>{this.issues=[...this.issues,r]},this.addIssues=(r=[])=>{this.issues=[...this.issues,...r]};const n=new.target.prototype;Object.setPrototypeOf?Object.setPrototypeOf(this,n):this.__proto__=n,this.name="ZodError",this.issues=t}get errors(){return this.issues}format(t){const n=t||function(o){return o.message},r={_errors:[]},i=o=>{for(const s of o.issues)if(s.code==="invalid_union")s.unionErrors.map(i);else if(s.code==="invalid_return_type")i(s.returnTypeError);else if(s.code==="invalid_arguments")i(s.argumentsError);else if(s.path.length===0)r._errors.push(n(s));else{let a=r,l=0;for(;l<s.path.length;){const u=s.path[l];l===s.path.length-1?(a[u]=a[u]||{_errors:[]},a[u]._errors.push(n(s))):a[u]=a[u]||{_errors:[]},a=a[u],l++}}};return i(this),r}toString(){return this.message}get message(){return JSON.stringify(this.issues,wt.jsonStringifyReplacer,2)}get isEmpty(){return this.issues.length===0}flatten(t=n=>n.message){const n={},r=[];for(const i of this.issues)i.path.length>0?(n[i.path[0]]=n[i.path[0]]||[],n[i.path[0]].push(t(i))):r.push(t(i));return{formErrors:r,fieldErrors:n}}get formErrors(){return this.flatten()}}Xo.create=e=>new Xo(e);const cg=(e,t)=>{let n;switch(e.code){case me.invalid_type:e.received===xe.undefined?n="Required":n=`Expected ${e.expected}, received ${e.received}`;break;case me.invalid_literal:n=`Invalid literal value, expected ${JSON.stringify(e.expected,wt.jsonStringifyReplacer)}`;break;case me.unrecognized_keys:n=`Unrecognized key(s) in object: ${wt.joinValues(e.keys,", ")}`;break;case me.invalid_union:n="Invalid input";break;case me.invalid_union_discriminator:n=`Invalid discriminator value. Expected ${wt.joinValues(e.options)}`;break;case me.invalid_enum_value:n=`Invalid enum value. 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r=[];for(const i of n){if(i.status==="aborted")return je;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return Wr.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:s}=i;if(o.status==="aborted"||s.status==="aborted")return je;o.status==="dirty"&&t.dirty(),s.status==="dirty"&&t.dirty(),(typeof s.value<"u"||i.alwaysSet)&&(r[o.value]=s.value)}return{status:t.value,value:r}}}const je=Object.freeze({status:"aborted"}),jD=e=>({status:"dirty",value:e}),li=e=>({status:"valid",value:e}),T3=e=>e.status==="aborted",E3=e=>e.status==="dirty",p1=e=>e.status==="valid",g1=e=>typeof Promise<"u"&&e instanceof Promise;var Le;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(Le||(Le={}));class 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tt{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return ml(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:ml(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new Wr,ctx:{common:t.parent.common,data:t.data,parsedType:ml(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(g1(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:ml(t)},o=this._parseSync({data:t,path:i.path,parent:i});return M9(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:ml(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(g1(i)?i:Promise.resolve(i));return M9(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const s=t(i),a=()=>o.addIssue({code:me.custom,...r(i)});return typeof Promise<"u"&&s instanceof Promise?s.then(l=>l?!0:(a(),!1)):s?!0:(a(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new ts({schema:this,typeName:Ue.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return _a.create(this,this._def)}nullable(){return ic.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return 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RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function Sle(e,t){return!!((t==="v4"||!t)&&vle.test(e)||(t==="v6"||!t)&&_le.test(e))}class Ho extends tt{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:me.invalid_string,...Le.errToObj(r)}),this.nonempty=t=>this.min(1,Le.errToObj(t)),this.trim=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==xe.string){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.string,received:o.parsedType}),je}const r=new Wr;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?Te(i,{code:me.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&Te(i,{code:me.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")mle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"email",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")yle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"emoji",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")gle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"uuid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")fle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"cuid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")hle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"cuid2",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")ple.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"ulid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),Te(i,{validation:"url",code:me.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"regex",code:me.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?ble(o).test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?Sle(t.data,o.version)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"ip",code:me.invalid_string,message:o.message}),r.dirty()):wt.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new Ho({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...Le.errToObj(t)})}url(t){return this._addCheck({kind:"url",...Le.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...Le.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...Le.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...Le.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...Le.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...Le.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...Le.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...Le.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...Le.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...Le.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...Le.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...Le.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...Le.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...Le.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...Le.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Ho.create=e=>{var t;return new Ho({checks:[],typeName:Ue.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Qe(e)})};function wle(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class zl extends tt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==xe.number){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.number,received:o.parsedType}),je}let r;const i=new Wr;for(const o of this._def.checks)o.kind==="int"?wt.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Te(r,{code:me.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?wle(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_finite,message:o.message}),i.dirty()):wt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Le.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Le.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Le.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Le.toString(n))}setLimit(t,n,r,i){return new zl({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Le.toString(i)}]})}_addCheck(t){return new zl({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:Le.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:Le.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:Le.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:Le.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:Le.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Le.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:Le.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:Le.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:Le.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&wt.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}zl.create=e=>new zl({checks:[],typeName:Ue.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...Qe(e)});class Vl extends tt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==xe.bigint){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.bigint,received:o.parsedType}),je}let r;const i=new Wr;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):wt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Le.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Le.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Le.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Le.toString(n))}setLimit(t,n,r,i){return new Vl({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Le.toString(i)}]})}_addCheck(t){return new Vl({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:Le.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:Le.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:Le.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:Le.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Le.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Vl.create=e=>{var t;return new Vl({checks:[],typeName:Ue.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Qe(e)})};class dg extends tt{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==xe.boolean){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.boolean,received:r.parsedType}),je}return li(t.data)}}dg.create=e=>new dg({typeName:Ue.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...Qe(e)});class nc extends tt{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==xe.date){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.date,received:o.parsedType}),je}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_date}),je}const r=new Wr;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):wt.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new nc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:Le.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:Le.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}nc.create=e=>new nc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:Ue.ZodDate,...Qe(e)});class m1 extends tt{_parse(t){if(this._getType(t)!==xe.symbol){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.symbol,received:r.parsedType}),je}return li(t.data)}}m1.create=e=>new m1({typeName:Ue.ZodSymbol,...Qe(e)});class fg extends tt{_parse(t){if(this._getType(t)!==xe.undefined){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.undefined,received:r.parsedType}),je}return li(t.data)}}fg.create=e=>new fg({typeName:Ue.ZodUndefined,...Qe(e)});class hg extends tt{_parse(t){if(this._getType(t)!==xe.null){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.null,received:r.parsedType}),je}return li(t.data)}}hg.create=e=>new hg({typeName:Ue.ZodNull,...Qe(e)});class wf extends tt{constructor(){super(...arguments),this._any=!0}_parse(t){return li(t.data)}}wf.create=e=>new wf({typeName:Ue.ZodAny,...Qe(e)});class Gu extends tt{constructor(){super(...arguments),this._unknown=!0}_parse(t){return li(t.data)}}Gu.create=e=>new Gu({typeName:Ue.ZodUnknown,...Qe(e)});class Oa extends tt{_parse(t){const n=this._getOrReturnCtx(t);return Te(n,{code:me.invalid_type,expected:xe.never,received:n.parsedType}),je}}Oa.create=e=>new Oa({typeName:Ue.ZodNever,...Qe(e)});class y1 extends tt{_parse(t){if(this._getType(t)!==xe.undefined){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.void,received:r.parsedType}),je}return li(t.data)}}y1.create=e=>new y1({typeName:Ue.ZodVoid,...Qe(e)});class Yo extends tt{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==xe.array)return Te(n,{code:me.invalid_type,expected:xe.array,received:n.parsedType}),je;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(Te(n,{code:s?me.too_big:me.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(Te(n,{code:me.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(Te(n,{code:me.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new Ms(n,s,n.path,a)))).then(s=>Wr.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new Ms(n,s,n.path,a)));return Wr.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Yo({...this._def,minLength:{value:t,message:Le.toString(n)}})}max(t,n){return new Yo({...this._def,maxLength:{value:t,message:Le.toString(n)}})}length(t,n){return new Yo({...this._def,exactLength:{value:t,message:Le.toString(n)}})}nonempty(t){return this.min(1,t)}}Yo.create=(e,t)=>new Yo({type:e,minLength:null,maxLength:null,exactLength:null,typeName:Ue.ZodArray,...Qe(t)});function yd(e){if(e instanceof gn){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=_a.create(yd(r))}return new gn({...e._def,shape:()=>t})}else return e instanceof Yo?new Yo({...e._def,type:yd(e.element)}):e instanceof _a?_a.create(yd(e.unwrap())):e instanceof ic?ic.create(yd(e.unwrap())):e instanceof Ns?Ns.create(e.items.map(t=>yd(t))):e}class gn extends tt{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=wt.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==xe.object){const u=this._getOrReturnCtx(t);return Te(u,{code:me.invalid_type,expected:xe.object,received:u.parsedType}),je}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof Oa&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const d=o[u],f=i.data[u];l.push({key:{status:"valid",value:u},value:d._parse(new Ms(i,f,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof Oa){const u=this._def.unknownKeys;if(u==="passthrough")for(const d of a)l.push({key:{status:"valid",value:d},value:{status:"valid",value:i.data[d]}});else if(u==="strict")a.length>0&&(Te(i,{code:me.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const d of a){const f=i.data[d];l.push({key:{status:"valid",value:d},value:u._parse(new Ms(i,f,i.path,d)),alwaysSet:d in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const d of l){const f=await d.key;u.push({key:f,value:await d.value,alwaysSet:d.alwaysSet})}return u}).then(u=>Wr.mergeObjectSync(r,u)):Wr.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return Le.errToObj,new gn({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=Le.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new gn({...this._def,unknownKeys:"strip"})}passthrough(){return new gn({...this._def,unknownKeys:"passthrough"})}extend(t){return new gn({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new gn({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:Ue.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new gn({...this._def,catchall:t})}pick(t){const n={};return wt.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new gn({...this._def,shape:()=>n})}omit(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new gn({...this._def,shape:()=>n})}deepPartial(){return yd(this)}partial(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new gn({...this._def,shape:()=>n})}required(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof _a;)o=o._def.innerType;n[r]=o}}),new gn({...this._def,shape:()=>n})}keyof(){return GD(wt.objectKeys(this.shape))}}gn.create=(e,t)=>new gn({shape:()=>e,unknownKeys:"strip",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});gn.strictCreate=(e,t)=>new gn({shape:()=>e,unknownKeys:"strict",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});gn.lazycreate=(e,t)=>new gn({shape:e,unknownKeys:"strip",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});class pg extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new Xo(a.ctx.common.issues));return Te(n,{code:me.invalid_union,unionErrors:s}),je}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},d=l._parseSync({data:n.data,path:n.path,parent:u});if(d.status==="valid")return d;d.status==="dirty"&&!o&&(o={result:d,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new Xo(l));return Te(n,{code:me.invalid_union,unionErrors:a}),je}}get options(){return this._def.options}}pg.create=(e,t)=>new pg({options:e,typeName:Ue.ZodUnion,...Qe(t)});const cv=e=>e instanceof yg?cv(e.schema):e instanceof ts?cv(e.innerType()):e instanceof vg?[e.value]:e instanceof jl?e.options:e instanceof _g?Object.keys(e.enum):e instanceof bg?cv(e._def.innerType):e instanceof fg?[void 0]:e instanceof hg?[null]:null;class ib extends tt{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.object)return Te(n,{code:me.invalid_type,expected:xe.object,received:n.parsedType}),je;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(Te(n,{code:me.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),je)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=cv(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new ib({typeName:Ue.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...Qe(r)})}}function A3(e,t){const n=ml(e),r=ml(t);if(e===t)return{valid:!0,data:e};if(n===xe.object&&r===xe.object){const i=wt.objectKeys(t),o=wt.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=A3(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===xe.array&&r===xe.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=A3(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===xe.date&&r===xe.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class gg extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(T3(o)||T3(s))return je;const a=A3(o.value,s.value);return a.valid?((E3(o)||E3(s))&&n.dirty(),{status:n.value,value:a.data}):(Te(r,{code:me.invalid_intersection_types}),je)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}gg.create=(e,t,n)=>new gg({left:e,right:t,typeName:Ue.ZodIntersection,...Qe(n)});class Ns extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.array)return Te(r,{code:me.invalid_type,expected:xe.array,received:r.parsedType}),je;if(r.data.length<this._def.items.length)return Te(r,{code:me.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),je;!this._def.rest&&r.data.length>this._def.items.length&&(Te(r,{code:me.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new Ms(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>Wr.mergeArray(n,s)):Wr.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new Ns({...this._def,rest:t})}}Ns.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new Ns({items:e,typeName:Ue.ZodTuple,rest:null,...Qe(t)})};class mg extends tt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.object)return Te(r,{code:me.invalid_type,expected:xe.object,received:r.parsedType}),je;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new Ms(r,a,r.path,a)),value:s._parse(new Ms(r,r.data[a],r.path,a))});return r.common.async?Wr.mergeObjectAsync(n,i):Wr.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof tt?new mg({keyType:t,valueType:n,typeName:Ue.ZodRecord,...Qe(r)}):new mg({keyType:Ho.create(),valueType:t,typeName:Ue.ZodRecord,...Qe(n)})}}class v1 extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.map)return Te(r,{code:me.invalid_type,expected:xe.map,received:r.parsedType}),je;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new Ms(r,a,r.path,[u,"key"])),value:o._parse(new Ms(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,d=await l.value;if(u.status==="aborted"||d.status==="aborted")return je;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,d=l.value;if(u.status==="aborted"||d.status==="aborted")return je;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}}}}v1.create=(e,t,n)=>new v1({valueType:t,keyType:e,typeName:Ue.ZodMap,...Qe(n)});class rc extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.set)return Te(r,{code:me.invalid_type,expected:xe.set,received:r.parsedType}),je;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(Te(r,{code:me.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(Te(r,{code:me.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const d of l){if(d.status==="aborted")return je;d.status==="dirty"&&n.dirty(),u.add(d.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new Ms(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new rc({...this._def,minSize:{value:t,message:Le.toString(n)}})}max(t,n){return new rc({...this._def,maxSize:{value:t,message:Le.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}rc.create=(e,t)=>new rc({valueType:e,minSize:null,maxSize:null,typeName:Ue.ZodSet,...Qe(t)});class Jd extends tt{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.function)return Te(n,{code:me.invalid_type,expected:xe.function,received:n.parsedType}),je;function r(a,l){return h1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,f1(),cg].filter(u=>!!u),issueData:{code:me.invalid_arguments,argumentsError:l}})}function i(a,l){return h1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,f1(),cg].filter(u=>!!u),issueData:{code:me.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;return this._def.returns instanceof xf?li(async(...a)=>{const l=new Xo([]),u=await this._def.args.parseAsync(a,o).catch(p=>{throw l.addIssue(r(a,p)),l}),d=await s(...u);return await this._def.returns._def.type.parseAsync(d,o).catch(p=>{throw l.addIssue(i(d,p)),l})}):li((...a)=>{const l=this._def.args.safeParse(a,o);if(!l.success)throw new Xo([r(a,l.error)]);const u=s(...l.data),d=this._def.returns.safeParse(u,o);if(!d.success)throw new Xo([i(u,d.error)]);return d.data})}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new Jd({...this._def,args:Ns.create(t).rest(Gu.create())})}returns(t){return new Jd({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new Jd({args:t||Ns.create([]).rest(Gu.create()),returns:n||Gu.create(),typeName:Ue.ZodFunction,...Qe(r)})}}class yg extends tt{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}yg.create=(e,t)=>new yg({getter:e,typeName:Ue.ZodLazy,...Qe(t)});class vg extends tt{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Te(n,{received:n.data,code:me.invalid_literal,expected:this._def.value}),je}return{status:"valid",value:t.data}}get value(){return this._def.value}}vg.create=(e,t)=>new vg({value:e,typeName:Ue.ZodLiteral,...Qe(t)});function GD(e,t){return new jl({values:e,typeName:Ue.ZodEnum,...Qe(t)})}class jl extends tt{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Te(n,{expected:wt.joinValues(r),received:n.parsedType,code:me.invalid_type}),je}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Te(n,{received:n.data,code:me.invalid_enum_value,options:r}),je}return li(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return jl.create(t)}exclude(t){return jl.create(this.options.filter(n=>!t.includes(n)))}}jl.create=GD;class _g extends tt{_parse(t){const n=wt.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==xe.string&&r.parsedType!==xe.number){const i=wt.objectValues(n);return Te(r,{expected:wt.joinValues(i),received:r.parsedType,code:me.invalid_type}),je}if(n.indexOf(t.data)===-1){const i=wt.objectValues(n);return Te(r,{received:r.data,code:me.invalid_enum_value,options:i}),je}return li(t.data)}get enum(){return this._def.values}}_g.create=(e,t)=>new _g({values:e,typeName:Ue.ZodNativeEnum,...Qe(t)});class xf extends tt{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.promise&&n.common.async===!1)return Te(n,{code:me.invalid_type,expected:xe.promise,received:n.parsedType}),je;const r=n.parsedType===xe.promise?n.data:Promise.resolve(n.data);return li(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}xf.create=(e,t)=>new xf({type:e,typeName:Ue.ZodPromise,...Qe(t)});class ts extends tt{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===Ue.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null;if(i.type==="preprocess"){const s=i.transform(r.data);return r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}const o={addIssue:s=>{Te(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?je:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?je:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!p1(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>p1(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);wt.assertNever(i)}}ts.create=(e,t,n)=>new ts({schema:e,typeName:Ue.ZodEffects,effect:t,...Qe(n)});ts.createWithPreprocess=(e,t,n)=>new ts({schema:t,effect:{type:"preprocess",transform:e},typeName:Ue.ZodEffects,...Qe(n)});class _a extends tt{_parse(t){return this._getType(t)===xe.undefined?li(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}_a.create=(e,t)=>new _a({innerType:e,typeName:Ue.ZodOptional,...Qe(t)});class ic extends tt{_parse(t){return this._getType(t)===xe.null?li(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}ic.create=(e,t)=>new ic({innerType:e,typeName:Ue.ZodNullable,...Qe(t)});class bg extends tt{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===xe.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}bg.create=(e,t)=>new bg({innerType:e,typeName:Ue.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...Qe(t)});class _1 extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return g1(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new Xo(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new Xo(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}_1.create=(e,t)=>new _1({innerType:e,typeName:Ue.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...Qe(t)});class b1 extends tt{_parse(t){if(this._getType(t)!==xe.nan){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.nan,received:r.parsedType}),je}return{status:"valid",value:t.data}}}b1.create=e=>new b1({typeName:Ue.ZodNaN,...Qe(e)});const xle=Symbol("zod_brand");class HD extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class hm extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?je:o.status==="dirty"?(n.dirty(),jD(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?je:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new hm({in:t,out:n,typeName:Ue.ZodPipeline})}}const WD=(e,t={},n)=>e?wf.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):wf.create(),Cle={object:gn.lazycreate};var Ue;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline"})(Ue||(Ue={}));const Tle=(e,t={message:`Input not instance of ${e.name}`})=>WD(n=>n instanceof e,t),qD=Ho.create,KD=zl.create,Ele=b1.create,Ale=Vl.create,XD=dg.create,Ple=nc.create,Rle=m1.create,Ole=fg.create,kle=hg.create,Ile=wf.create,Mle=Gu.create,Nle=Oa.create,Lle=y1.create,Dle=Yo.create,$le=gn.create,Fle=gn.strictCreate,Ble=pg.create,Ule=ib.create,zle=gg.create,Vle=Ns.create,jle=mg.create,Gle=v1.create,Hle=rc.create,Wle=Jd.create,qle=yg.create,Kle=vg.create,Xle=jl.create,Yle=_g.create,Qle=xf.create,N9=ts.create,Zle=_a.create,Jle=ic.create,eue=ts.createWithPreprocess,tue=hm.create,nue=()=>qD().optional(),rue=()=>KD().optional(),iue=()=>XD().optional(),oue={string:e=>Ho.create({...e,coerce:!0}),number:e=>zl.create({...e,coerce:!0}),boolean:e=>dg.create({...e,coerce:!0}),bigint:e=>Vl.create({...e,coerce:!0}),date:e=>nc.create({...e,coerce:!0})},sue=je;var xt=Object.freeze({__proto__:null,defaultErrorMap:cg,setErrorMap:cle,getErrorMap:f1,makeIssue:h1,EMPTY_PATH:dle,addIssueToContext:Te,ParseStatus:Wr,INVALID:je,DIRTY:jD,OK:li,isAborted:T3,isDirty:E3,isValid:p1,isAsync:g1,get util(){return wt},get objectUtil(){return C3},ZodParsedType:xe,getParsedType:ml,ZodType:tt,ZodString:Ho,ZodNumber:zl,ZodBigInt:Vl,ZodBoolean:dg,ZodDate:nc,ZodSymbol:m1,ZodUndefined:fg,ZodNull:hg,ZodAny:wf,ZodUnknown:Gu,ZodNever:Oa,ZodVoid:y1,ZodArray:Yo,ZodObject:gn,ZodUnion:pg,ZodDiscriminatedUnion:ib,ZodIntersection:gg,ZodTuple:Ns,ZodRecord:mg,ZodMap:v1,ZodSet:rc,ZodFunction:Jd,ZodLazy:yg,ZodLiteral:vg,ZodEnum:jl,ZodNativeEnum:_g,ZodPromise:xf,ZodEffects:ts,ZodTransformer:ts,ZodOptional:_a,ZodNullable:ic,ZodDefault:bg,ZodCatch:_1,ZodNaN:b1,BRAND:xle,ZodBranded:HD,ZodPipeline:hm,custom:WD,Schema:tt,ZodSchema:tt,late:Cle,get ZodFirstPartyTypeKind(){return Ue},coerce:oue,any:Ile,array:Dle,bigint:Ale,boolean:XD,date:Ple,discriminatedUnion:Ule,effect:N9,enum:Xle,function:Wle,instanceof:Tle,intersection:zle,lazy:qle,literal:Kle,map:Gle,nan:Ele,nativeEnum:Yle,never:Nle,null:kle,nullable:Jle,number:KD,object:$le,oboolean:iue,onumber:rue,optional:Zle,ostring:nue,pipeline:tue,preprocess:eue,promise:Qle,record:jle,set:Hle,strictObject:Fle,string:qD,symbol:Rle,transformer:N9,tuple:Vle,undefined:Ole,union:Ble,unknown:Mle,void:Lle,NEVER:sue,ZodIssueCode:me,quotelessJson:ule,ZodError:Xo});const 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bue=xt.number().min(1).max(10),bRe=e=>bue.safeParse(e).success,Sue=xt.number().min(0).max(1),SRe=e=>Sue.safeParse(e).success,Da={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",seamBlur:16,seamSize:96,seamSteps:30,seamStrength:.7,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,shouldUseNoiseSettings:!1,steps:50,threshold:0,tileSize:32,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null},wue=Da,ZD=yn({name:"generation",initialState:wue,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=bl(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=bl(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...Da}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 0},setSeamSize:(e,t)=>{e.seamSize=t.payload},setSeamBlur:(e,t)=>{e.seamBlur=t.payload},setSeamStrength:(e,t)=>{e.seamStrength=t.payload},setSeamSteps:(e,t)=>{e.seamSteps=t.payload},setTileSize:(e,t)=>{e.tileSize=t.payload},setInfillMethod:(e,t)=>{e.infillMethod=t.payload},setShouldUseSymmetry:(e,t)=>{e.shouldUseSymmetry=t.payload},setHorizontalSymmetrySteps:(e,t)=>{e.horizontalSymmetrySteps=t.payload},setVerticalSymmetrySteps:(e,t)=>{e.verticalSymmetrySteps=t.payload},setShouldUseNoiseSettings:(e,t)=>{e.shouldUseNoiseSettings=t.payload},initialImageChanged:(e,t)=>{const{image_name:n,width:r,height:i}=t.payload;e.initialImage={imageName:n,width:r,height:i}},modelChanged:(e,t)=>{if(e.model=t.payload,e.model===null)return;const{maxClip:n}=ale[e.model.base_model];e.clipSkip=bl(e.clipSkip,0,n)},vaeSelected:(e,t)=>{e.vae=t.payload},vaePrecisionChanged:(e,t)=>{e.vaePrecision=t.payload},setClipSkip:(e,t)=>{e.clipSkip=t.payload},shouldUseCpuNoiseChanged:(e,t)=>{e.shouldUseCpuNoise=t.payload},setShouldShowAdvancedOptions:(e,t)=>{e.shouldShowAdvancedOptions=t.payload,t.payload||(e.clipSkip=0)},setAspectRatio:(e,t)=>{const n=t.payload;e.aspectRatio=n,n&&(e.height=Ss(e.width/n,8))}},extraReducers:e=>{e.addCase(ole,(t,n)=>{var i;const r=(i=n.payload.sd)==null?void 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t=="number"?e.activeTab=t:e.activeTab=e$.indexOf(t)},t$={activeTab:0,shouldPinParametersPanel:!0,shouldShowParametersPanel:!0,shouldShowImageDetails:!1,shouldUseCanvasBetaLayout:!1,shouldShowExistingModelsInSearch:!1,shouldUseSliders:!1,shouldPinGallery:!0,shouldShowGallery:!0,shouldHidePreview:!1,shouldShowProgressInViewer:!0,shouldShowEmbeddingPicker:!1,favoriteSchedulers:[]},n$=yn({name:"ui",initialState:t$,reducers:{setActiveTab:(e,t)=>{L9(e,t.payload)},setShouldPinParametersPanel:(e,t)=>{e.shouldPinParametersPanel=t.payload,e.shouldShowParametersPanel=!0},setShouldShowParametersPanel:(e,t)=>{e.shouldShowParametersPanel=t.payload},setShouldShowImageDetails:(e,t)=>{e.shouldShowImageDetails=t.payload},setShouldUseCanvasBetaLayout:(e,t)=>{e.shouldUseCanvasBetaLayout=t.payload},setShouldHidePreview:(e,t)=>{e.shouldHidePreview=t.payload},setShouldShowExistingModelsInSearch:(e,t)=>{e.shouldShowExistingModelsInSearch=t.payload},setShouldUseSliders:(e,t)=>{e.shouldUseSliders=t.payload},setShouldShowGallery:(e,t)=>{e.shouldShowGallery=t.payload},togglePinGalleryPanel:e=>{e.shouldPinGallery=!e.shouldPinGallery,e.shouldPinGallery||(e.shouldShowGallery=!0)},togglePinParametersPanel:e=>{e.shouldPinParametersPanel=!e.shouldPinParametersPanel,e.shouldPinParametersPanel||(e.shouldShowParametersPanel=!0)},toggleParametersPanel:e=>{e.shouldShowParametersPanel=!e.shouldShowParametersPanel},toggleGalleryPanel:e=>{e.shouldShowGallery=!e.shouldShowGallery},togglePanels:e=>{e.shouldShowGallery||e.shouldShowParametersPanel?(e.shouldShowGallery=!1,e.shouldShowParametersPanel=!1):(e.shouldShowGallery=!0,e.shouldShowParametersPanel=!0)},setShouldShowProgressInViewer:(e,t)=>{e.shouldShowProgressInViewer=t.payload},favoriteSchedulersChanged:(e,t)=>{e.favoriteSchedulers=t.payload},toggleEmbeddingPicker:e=>{e.shouldShowEmbeddingPicker=!e.shouldShowEmbeddingPicker}},extraReducers(e){e.addCase(ob,t=>{L9(t,"img2img")})}}),{setActiveTab:r$,setShouldPinParametersPanel:rOe,setShouldShowParametersPanel:iOe,setShouldShowImageDetails:oOe,setShouldUseCanvasBetaLayout:Aue,setShouldShowExistingModelsInSearch:sOe,setShouldUseSliders:aOe,setShouldHidePreview:lOe,setShouldShowGallery:uOe,togglePanels:cOe,togglePinGalleryPanel:dOe,togglePinParametersPanel:fOe,toggleParametersPanel:hOe,toggleGalleryPanel:pOe,setShouldShowProgressInViewer:gOe,favoriteSchedulersChanged:mOe,toggleEmbeddingPicker:yOe}=n$.actions,Pue=n$.reducer;let 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t=e.reducerPath,n=e.context,r=e.context.endpointDefinitions,i=e.mutationThunk,o=e.api,s=e.assertTagType,a=e.refetchQuery,l=o.internalActions.removeQueryResult,u=Co(tu(i),sm(i)),d=function(p,g){u(p)&&f(m$(p,"invalidatesTags",r,s),g),o.util.invalidateTags.match(p)&&f(g$(p.payload,void 0,void 0,void 0,void 0,s),g)};function f(p,g){var m=g.getState(),v=m[t],x=o.util.selectInvalidatedBy(m,p);n.batch(function(){for(var _,b=Array.from(x.values()),y=0,S=b;y<S.length;y++){var C=S[y].queryCacheKey,T=v.queries[C],E=(_=v.subscriptions[C])!=null?_:{};T&&(Object.keys(E).length===0?g.dispatch(l({queryCacheKey:C})):T.status!==ln.uninitialized&&g.dispatch(a(T,C)))}})}return d},Sce=function(e){var t=e.reducerPath,n=e.queryThunk,r=e.api,i=e.refetchQuery,o=e.internalState,s={},a=function(g,m){(r.internalActions.updateSubscriptionOptions.match(g)||r.internalActions.unsubscribeQueryResult.match(g))&&u(g.payload,m),(n.pending.match(g)||n.rejected.match(g)&&g.meta.condition)&&u(g.meta.arg,m),(n.fulfilled.match(g)||n.rejected.match(g)&&!g.meta.condition)&&l(g.meta.arg,m),r.util.resetApiState.match(g)&&f()};function l(g,m){var v=g.queryCacheKey,x=m.getState()[t],_=x.queries[v],b=o.currentSubscriptions[v];if(!(!_||_.status===ln.uninitialized)){var y=p(b);if(Number.isFinite(y)){var S=s[v];S!=null&&S.timeout&&(clearTimeout(S.timeout),S.timeout=void 0);var C=Date.now()+y,T=s[v]={nextPollTimestamp:C,pollingInterval:y,timeout:setTimeout(function(){T.timeout=void 0,m.dispatch(i(_,v))},y)}}}}function u(g,m){var v=g.queryCacheKey,x=m.getState()[t],_=x.queries[v],b=o.currentSubscriptions[v];if(!(!_||_.status===ln.uninitialized)){var y=p(b);if(!Number.isFinite(y)){d(v);return}var S=s[v],C=Date.now()+y;(!S||C<S.nextPollTimestamp)&&l({queryCacheKey:v},m)}}function d(g){var m=s[g];m!=null&&m.timeout&&clearTimeout(m.timeout),delete s[g]}function f(){for(var g=0,m=Object.keys(s);g<m.length;g++){var v=m[g];d(v)}}function p(g){g===void 0&&(g={});var m=Number.POSITIVE_INFINITY;for(var v in g)g[v].pollingInterval&&(m=Math.min(g[v].pollingInterval,m));return m}return a},wce=function(e){var t=e.reducerPath,n=e.context,r=e.api,i=e.refetchQuery,o=e.internalState,s=r.internalActions.removeQueryResult,a=function(u,d){xT.match(u)&&l(d,"refetchOnFocus"),CT.match(u)&&l(d,"refetchOnReconnect")};function l(u,d){var f=u.getState()[t],p=f.queries,g=o.currentSubscriptions;n.batch(function(){for(var m=0,v=Object.keys(g);m<v.length;m++){var x=v[m],_=p[x],b=g[x];if(!(!b||!_)){var y=Object.values(b).some(function(S){return S[d]===!0})||Object.values(b).every(function(S){return S[d]===void 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if(t.util.resetApiState.match(g))for(var S=0,C=Object.entries(u);S<C.length;S++){var T=C[S],E=T[0],y=T[1];delete u[E],y.cacheEntryRemoved()}};function f(g){return s(g)?g.meta.arg.queryCacheKey:a(g)?g.meta.requestId:t.internalActions.removeQueryResult.match(g)?g.payload.queryCacheKey:t.internalActions.removeMutationResult.match(g)?Cg(g.payload):""}function p(g,m,v,x,_){var b=r.endpointDefinitions[g],y=b==null?void 0:b.onCacheEntryAdded;if(y){var S={},C=new Promise(function(M){S.cacheEntryRemoved=M}),T=Promise.race([new Promise(function(M){S.valueResolved=M}),C.then(function(){throw Y9})]);T.catch(function(){}),u[v]=S;var E=t.endpoints[g].select(b.type===Ls.query?m:v),P=x.dispatch(function(M,G,U){return U}),k=xs(In({},x),{getCacheEntry:function(){return E(x.getState())},requestId:_,extra:P,updateCachedData:b.type===Ls.query?function(M){return x.dispatch(t.util.updateQueryData(g,m,M))}:void 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O=p.payload,E=O.queryCacheKey,P=O.requestId;return f[E]&&delete f[E][P],!0}if(t.internalActions.removeQueryResult.match(p))return delete f[p.payload.queryCacheKey],!0;if(n.pending.match(p)){var M=p.meta,G=M.arg,P=M.requestId;if(G.subscribe){var U=(v=f[m=G.queryCacheKey])!=null?v:f[m]={};return U[P]=(_=(x=G.subscriptionOptions)!=null?x:U[P])!=null?_:{},!0}}if(n.rejected.match(p)){var A=p.meta,N=A.condition,G=A.arg,P=A.requestId;if(N&&G.subscribe){var U=(y=f[b=G.queryCacheKey])!=null?y:f[b]={};return U[P]=(C=(S=G.subscriptionOptions)!=null?S:U[P])!=null?C:{},!0}}return!1};return function(f,p){var g,m;if(o||(o=JSON.parse(JSON.stringify(r.currentSubscriptions))),t.util.resetApiState.match(f))return o=r.currentSubscriptions={},[!0,!1];if(t.internalActions.internal_probeSubscription.match(f)){var v=f.payload,x=v.queryCacheKey,_=v.requestId,b=!!((g=r.currentSubscriptions[x])!=null&&g[_]);return[!1,b]}var y=d(r.currentSubscriptions,f);if(y){s||(Ece(function(){var E=JSON.parse(JSON.stringify(r.currentSubscriptions)),P=Q4(o,function(){return E}),k=P[1];p.next(t.internalActions.subscriptionsUpdated(k)),o=E,s=!1}),s=!0);var S=!!((m=f.type)!=null&&m.startsWith(i)),C=n.rejected.match(f)&&f.meta.condition&&!!f.meta.arg.subscribe,T=!S&&!C;return[T,!1]}return[!0,!1]}};function Pce(e){var t=e.reducerPath,n=e.queryThunk,r=e.api,i=e.context,o=i.apiUid,s={invalidateTags:Re(t+"/invalidateTags")},a=function(f){return!!f&&typeof f.type=="string"&&f.type.startsWith(t+"/")},l=[Tce,_ce,bce,Sce,xce,Cce],u=function(f){var p=!1,g={currentSubscriptions:{}},m=xs(In({},e),{internalState:g,refetchQuery:d}),v=l.map(function(b){return b(m)}),x=Ace(m),_=wce(m);return function(b){return function(y){p||(p=!0,f.dispatch(r.internalActions.middlewareRegistered(o)));var S=xs(In({},f),{next:b}),C=f.getState(),T=x(y,S,C),E=T[0],P=T[1],k;if(E?k=b(y):k=P,f.getState()[t]&&(_(y,S,C),a(y)||i.hasRehydrationInfo(y)))for(var O=0,M=v;O<M.length;O++){var G=M[O];G(y,S,C)}return k}}};return{middleware:u,actions:s};function d(f,p,g){return g===void 0&&(g={}),n(In({type:"query",endpointName:f.endpointName,originalArgs:f.originalArgs,subscribe:!1,forceRefetch:!0,queryCacheKey:p},g))}}function nl(e){for(var t=[],n=1;n<arguments.length;n++)t[n-1]=arguments[n];Object.assign.apply(Object,C1([e],t))}var Z9=Symbol(),Rce=function(){return{name:Z9,init:function(e,t,n){var r=t.baseQuery,i=t.tagTypes,o=t.reducerPath,s=t.serializeQueryArgs,a=t.keepUnusedDataFor,l=t.refetchOnMountOrArgChange,u=t.refetchOnFocus,d=t.refetchOnReconnect;X4();var f=function(ee){return typeof process<"u",ee};Object.assign(e,{reducerPath:o,endpoints:{},internalActions:{onOnline:CT,onOffline:h$,onFocus:xT,onFocusLost:f$},util:{}});var p=hce({baseQuery:r,reducerPath:o,context:n,api:e,serializeQueryArgs:s}),g=p.queryThunk,m=p.mutationThunk,v=p.patchQueryData,x=p.updateQueryData,_=p.upsertQueryData,b=p.prefetch,y=p.buildMatchThunkActions,S=pce({context:n,queryThunk:g,mutationThunk:m,reducerPath:o,assertTagType:f,config:{refetchOnFocus:u,refetchOnReconnect:d,refetchOnMountOrArgChange:l,keepUnusedDataFor:a,reducerPath:o}}),C=S.reducer,T=S.actions;nl(e.util,{patchQueryData:v,updateQueryData:x,upsertQueryData:_,prefetch:b,resetApiState:T.resetApiState}),nl(e.internalActions,T);var E=Pce({reducerPath:o,context:n,queryThunk:g,mutationThunk:m,api:e,assertTagType:f}),P=E.middleware,k=E.actions;nl(e.util,k),nl(e,{reducer:C,middleware:P});var O=gce({serializeQueryArgs:s,reducerPath:o}),M=O.buildQuerySelector,G=O.buildMutationSelector,U=O.selectInvalidatedBy;nl(e.util,{selectInvalidatedBy:U});var A=fce({queryThunk:g,mutationThunk:m,api:e,serializeQueryArgs:s,context:n}),N=A.buildInitiateQuery,F=A.buildInitiateMutation,B=A.getRunningMutationThunk,D=A.getRunningMutationsThunk,V=A.getRunningQueriesThunk,j=A.getRunningQueryThunk,q=A.getRunningOperationPromises,Z=A.removalWarning;return nl(e.util,{getRunningOperationPromises:q,getRunningOperationPromise:Z,getRunningMutationThunk:B,getRunningMutationsThunk:D,getRunningQueryThunk:j,getRunningQueriesThunk:V}),{name:Z9,injectEndpoint:function(ee,ie){var se,le,W=e;(le=(se=W.endpoints)[ee])!=null||(se[ee]={}),p$(ie)?nl(W.endpoints[ee],{name:ee,select:M(ee,ie),initiate:N(ee,ie)},y(g,ee)):cce(ie)&&nl(W.endpoints[ee],{name:ee,select:G(),initiate:F(ee)},y(m,ee))}}}}},v$={exports:{}},_$={};/**
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p={board_id:t,categories:d},g=Se.endpoints.listImages.select(p)(o()),{data:m}=Vr.includes(u.image_category)?Ui.endpoints.getBoardImagesTotal.select(t??"none")(o()):Ui.endpoints.getBoardAssetsTotal.select(t??"none")(o()),v=g.data&&g.data.ids.length>=(m??0),x=(m||0)>=F9?jh(g.data,u):!0;(v||x)&&r(Se.util.updateQueryData("listImages",p,_=>{pn.upsertOne(_,{...u,board_id:t})}))})}catch{}}}),removeImagesFromBoard:e.mutation({query:({imageDTOs:t})=>({url:"board_images/batch/delete",method:"POST",body:{image_names:t.map(n=>n.image_name)}}),invalidatesTags:(t,n,{imageDTOs:r})=>{const i=[],o=[{type:"BoardImagesTotal",id:"none"},{type:"BoardAssetsTotal",id:"none"}];return t==null||t.removed_image_names.forEach(s=>{var l;const a=(l=r.find(u=>u.image_name===s))==null?void 0:l.board_id;!a||i.includes(a)||(o.push({type:"Board",id:a}),o.push({type:"BoardImagesTotal",id:a}),o.push({type:"BoardAssetsTotal",id:a}))}),o},async 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t=({id:n,className:r,type:i,data:o,onClick:s,onEdgeDoubleClick:a,selected:l,animated:u,label:d,labelStyle:f,labelShowBg:p,labelBgStyle:g,labelBgPadding:m,labelBgBorderRadius:v,style:x,source:_,target:b,sourceX:y,sourceY:S,targetX:C,targetY:T,sourcePosition:E,targetPosition:P,elementsSelectable:k,hidden:O,sourceHandleId:M,targetHandleId:G,onContextMenu:U,onMouseEnter:A,onMouseMove:N,onMouseLeave:F,edgeUpdaterRadius:B,onEdgeUpdate:D,onEdgeUpdateStart:V,onEdgeUpdateEnd:j,markerEnd:q,markerStart:Z,rfId:ee,ariaLabel:ie,isFocusable:se,isUpdatable:le,pathOptions:W,interactionWidth:ne})=>{const fe=L.useRef(null),[pe,ve]=L.useState(!1),[ye,We]=L.useState(!1),Me=qr(),Ee=L.useMemo(()=>`url(#${H3(Z,ee)})`,[Z,ee]),lt=L.useMemo(()=>`url(#${H3(q,ee)})`,[q,ee]);if(O)return null;const _e=sn=>{const{edges:Gt,addSelectedEdges:vr}=Me.getState();if(k&&(Me.setState({nodesSelectionActive:!1}),vr([n])),s){const 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ue.jsxs("g",{className:Eo(["react-flow__edge",`react-flow__edge-${i}`,r,{selected:l,animated:u,inactive:on,updating:pe}]),onClick:_e,onDoubleClick:jt,onContextMenu:Wn,onMouseEnter:Bt,onMouseMove:it,onMouseLeave:mt,onKeyDown:se?qn:void 0,tabIndex:se?0:void 0,role:se?"button":void 0,"data-testid":`rf__edge-${n}`,"aria-label":ie===null?void 0:ie||`Edge from ${_} to ${b}`,"aria-describedby":se?`${wB}-${ee}`:void 0,ref:fe,children:[!ye&&ue.jsx(e,{id:n,source:_,target:b,selected:l,animated:u,label:d,labelStyle:f,labelShowBg:p,labelBgStyle:g,labelBgPadding:m,labelBgBorderRadius:v,data:o,style:x,sourceX:y,sourceY:S,targetX:C,targetY:T,sourcePosition:E,targetPosition:P,sourceHandleId:M,targetHandleId:G,markerStart:Ee,markerEnd:lt,pathOptions:W,interactionWidth:ne}),le&&ue.jsxs(ue.Fragment,{children:[(le==="source"||le===!0)&&ue.jsx(jR,{position:E,centerX:y,centerY:S,radius:B,onMouseDown:Mr,onMouseEnter:hi,onMouseOut:wn,type:"source"}),(le==="target"||le===!0)&&ue.jsx(jR,{position:P,centerX:C,centerY:T,radius:B,onMouseDown:yr,onMouseEnter:hi,onMouseOut:wn,type:"target"})]})]})};return t.displayName="EdgeWrapper",L.memo(t)};function kme(e){const 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s=o.keySeparator!==void 0?o.keySeparator:this.options.keySeparator;let a=[t,n];r&&(a=a.concat(s?r.split(s):r)),t.indexOf(".")>-1&&(a=t.split("."),i=n,n=a[1]),this.addNamespaces(n),gO(this.data,a,i),o.silent||this.emit("added",t,n,r,i)}addResources(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{silent:!1};for(const o in r)(typeof r[o]=="string"||Object.prototype.toString.apply(r[o])==="[object Array]")&&this.addResource(t,n,o,r[o],{silent:!0});i.silent||this.emit("added",t,n,r)}addResourceBundle(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{silent:!1},a=[t,n];t.indexOf(".")>-1&&(a=t.split("."),i=r,r=n,n=a[1]),this.addNamespaces(n);let l=W1(this.data,a)||{};i?SU(l,r,o):l={...l,...r},gO(this.data,a,l),s.silent||this.emit("added",t,n,r)}removeResourceBundle(t,n){this.hasResourceBundle(t,n)&&delete this.data[t][n],this.removeNamespaces(n),this.emit("removed",t,n)}hasResourceBundle(t,n){return this.getResource(t,n)!==void 0}getResourceBundle(t,n){return n||(n=this.options.defaultNS),this.options.compatibilityAPI==="v1"?{...this.getResource(t,n)}:this.getResource(t,n)}getDataByLanguage(t){return this.data[t]}hasLanguageSomeTranslations(t){const n=this.getDataByLanguage(t);return!!(n&&Object.keys(n)||[]).find(i=>n[i]&&Object.keys(n[i]).length>0)}toJSON(){return this.data}}var wU={processors:{},addPostProcessor(e){this.processors[e.name]=e},handle(e,t,n,r,i){return e.forEach(o=>{this.processors[o]&&(t=this.processors[o].process(t,n,r,i))}),t}};const yO={};class X1 extends eS{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};super(),Kve(["resourceStore","languageUtils","pluralResolver","interpolator","backendConnector","i18nFormat","utils"],t,this),this.options=n,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.logger=Cs.create("translator")}changeLanguage(t){t&&(this.language=t)}exists(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}};if(t==null)return!1;const r=this.resolve(t,n);return r&&r.res!==void 0}extractFromKey(t,n){let r=n.nsSeparator!==void 0?n.nsSeparator:this.options.nsSeparator;r===void 0&&(r=":");const i=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator;let o=n.ns||this.options.defaultNS||[];const s=r&&t.indexOf(r)>-1,a=!this.options.userDefinedKeySeparator&&!n.keySeparator&&!this.options.userDefinedNsSeparator&&!n.nsSeparator&&!e1e(t,r,i);if(s&&!a){const l=t.match(this.interpolator.nestingRegexp);if(l&&l.length>0)return{key:t,namespaces:o};const u=t.split(r);(r!==i||r===i&&this.options.ns.indexOf(u[0])>-1)&&(o=u.shift()),t=u.join(i)}return typeof o=="string"&&(o=[o]),{key:t,namespaces:o}}translate(t,n,r){if(typeof n!="object"&&this.options.overloadTranslationOptionHandler&&(n=this.options.overloadTranslationOptionHandler(arguments)),typeof n=="object"&&(n={...n}),n||(n={}),t==null)return"";Array.isArray(t)||(t=[String(t)]);const i=n.returnDetails!==void 0?n.returnDetails:this.options.returnDetails,o=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator,{key:s,namespaces:a}=this.extractFromKey(t[t.length-1],n),l=a[a.length-1],u=n.lng||this.language,d=n.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(u&&u.toLowerCase()==="cimode"){if(d){const S=n.nsSeparator||this.options.nsSeparator;return i?{res:`${l}${S}${s}`,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:`${l}${S}${s}`}return i?{res:s,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:s}const f=this.resolve(t,n);let p=f&&f.res;const g=f&&f.usedKey||s,m=f&&f.exactUsedKey||s,v=Object.prototype.toString.apply(p),x=["[object Number]","[object Function]","[object RegExp]"],_=n.joinArrays!==void 0?n.joinArrays:this.options.joinArrays,b=!this.i18nFormat||this.i18nFormat.handleAsObject;if(b&&p&&(typeof p!="string"&&typeof p!="boolean"&&typeof p!="number")&&x.indexOf(v)<0&&!(typeof _=="string"&&v==="[object Array]")){if(!n.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const S=this.options.returnedObjectHandler?this.options.returnedObjectHandler(g,p,{...n,ns:a}):`key '${s} (${this.language})' returned an object instead of string.`;return i?(f.res=S,f):S}if(o){const S=v==="[object Array]",C=S?[]:{},T=S?m:g;for(const E in p)if(Object.prototype.hasOwnProperty.call(p,E)){const P=`${T}${o}${E}`;C[E]=this.translate(P,{...n,joinArrays:!1,ns:a}),C[E]===P&&(C[E]=p[E])}p=C}}else if(b&&typeof _=="string"&&v==="[object Array]")p=p.join(_),p&&(p=this.extendTranslation(p,t,n,r));else{let S=!1,C=!1;const T=n.count!==void 0&&typeof n.count!="string",E=X1.hasDefaultValue(n),P=T?this.pluralResolver.getSuffix(u,n.count,n):"",k=n.ordinal&&T?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",O=n[`defaultValue${P}`]||n[`defaultValue${k}`]||n.defaultValue;!this.isValidLookup(p)&&E&&(S=!0,p=O),this.isValidLookup(p)||(C=!0,p=s);const G=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&C?void 0:p,U=E&&O!==p&&this.options.updateMissing;if(C||S||U){if(this.logger.log(U?"updateKey":"missingKey",u,l,s,U?O:p),o){const B=this.resolve(s,{...n,keySeparator:!1});B&&B.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let A=[];const N=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&N&&N[0])for(let B=0;B<N.length;B++)A.push(N[B]);else this.options.saveMissingTo==="all"?A=this.languageUtils.toResolveHierarchy(n.lng||this.language):A.push(n.lng||this.language);const F=(B,D,V)=>{const j=E&&V!==p?V:G;this.options.missingKeyHandler?this.options.missingKeyHandler(B,l,D,j,U,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(B,l,D,j,U,n),this.emit("missingKey",B,l,D,p)};this.options.saveMissing&&(this.options.saveMissingPlurals&&T?A.forEach(B=>{this.pluralResolver.getSuffixes(B,n).forEach(D=>{F([B],s+D,n[`defaultValue${D}`]||O)})}):F(A,s,O))}p=this.extendTranslation(p,t,n,f,r),C&&p===s&&this.options.appendNamespaceToMissingKey&&(p=`${l}:${s}`),(C||S)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?p=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,S?p:void 0):p=this.options.parseMissingKeyHandler(p))}return i?(f.res=p,f):p}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let d;if(u){const p=t.match(this.interpolator.nestingRegexp);d=p&&p.length}let f=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(f={...this.options.interpolation.defaultVariables,...f}),t=this.interpolator.interpolate(t,f,r.lng||this.language,r),u){const p=t.match(this.interpolator.nestingRegexp),g=p&&p.length;d<g&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var p=arguments.length,g=new Array(p),m=0;m<p;m++)g[m]=arguments[m];return o&&o[0]===g[0]&&!r.context?(s.logger.warn(`It seems you are nesting recursively key: ${g[0]} in key: ${n[0]}`),null):s.translate(...g,n)},r)),r.interpolation&&this.interpolator.reset()}const a=r.postProcess||this.options.postProcess,l=typeof a=="string"?[a]:a;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=wU.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),d=u.key;i=d;let f=u.namespaces;this.options.fallbackNS&&(f=f.concat(this.options.fallbackNS));const p=n.count!==void 0&&typeof n.count!="string",g=p&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),m=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",v=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);f.forEach(x=>{this.isValidLookup(r)||(a=x,!yO[`${v[0]}-${x}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(yO[`${v[0]}-${x}`]=!0,this.logger.warn(`key "${i}" for languages "${v.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),v.forEach(_=>{if(this.isValidLookup(r))return;s=_;const b=[d];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(b,d,_,x,n);else{let S;p&&(S=this.pluralResolver.getSuffix(_,n.count,n));const C=`${this.options.pluralSeparator}zero`,T=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(p&&(b.push(d+S),n.ordinal&&S.indexOf(T)===0&&b.push(d+S.replace(T,this.options.pluralSeparator)),g&&b.push(d+C)),m){const E=`${d}${this.options.contextSeparator}${n.context}`;b.push(E),p&&(b.push(E+S),n.ordinal&&S.indexOf(T)===0&&b.push(E+S.replace(T,this.options.pluralSeparator)),g&&b.push(E+C))}}let y;for(;y=b.pop();)this.isValidLookup(r)||(o=y,r=this.getResource(_,x,y,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:s,usedNS:a}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function Rx(e){return e.charAt(0).toUpperCase()+e.slice(1)}class vO{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=Cs.create("languageUtils")}getScriptPartFromCode(t){if(t=K1(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=K1(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Rx(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Rx(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=Rx(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let t1e=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],n1e={1:function(e){return+(e>1)},2:function(e){return+(e!=1)},3:function(e){return 0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const r1e=["v1","v2","v3"],i1e=["v4"],_O={zero:0,one:1,two:2,few:3,many:4,other:5};function o1e(){const e={};return t1e.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:n1e[t.fc]}})}),e}class s1e{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=Cs.create("pluralResolver"),(!this.options.compatibilityJSON||i1e.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. 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0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof 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r=n.lng||this.resolvedLanguage||this.languages[0],i=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(r.toLowerCase()==="cimode")return!0;const s=(a,l)=>{const u=this.services.backendConnector.state[`${a}|${l}`];return u===-1||u===2};if(n.precheck){const a=n.precheck(this,s);if(a!==void 0)return a}return!!(this.hasResourceBundle(r,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||s(r,t)&&(!i||s(o,t)))}loadNamespaces(t,n){const r=Xh();return this.options.ns?(typeof t=="string"&&(t=[t]),t.forEach(i=>{this.options.ns.indexOf(i)<0&&this.options.ns.push(i)}),this.loadResources(i=>{r.resolve(),n&&n(i)}),r):(n&&n(),Promise.resolve())}loadLanguages(t,n){const r=Xh();typeof t=="string"&&(t=[t]);const i=this.options.preload||[],o=t.filter(s=>i.indexOf(s)<0);return 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n.count!="string",E=X1.hasDefaultValue(n),P=T?this.pluralResolver.getSuffix(u,n.count,n):"",k=n.ordinal&&T?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",O=n[`defaultValue${P}`]||n[`defaultValue${k}`]||n.defaultValue;!this.isValidLookup(p)&&E&&(S=!0,p=O),this.isValidLookup(p)||(C=!0,p=s);const G=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&C?void 0:p,U=E&&O!==p&&this.options.updateMissing;if(C||S||U){if(this.logger.log(U?"updateKey":"missingKey",u,l,s,U?O:p),o){const B=this.resolve(s,{...n,keySeparator:!1});B&&B.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let A=[];const N=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&N&&N[0])for(let B=0;B<N.length;B++)A.push(N[B]);else this.options.saveMissingTo==="all"?A=this.languageUtils.toResolveHierarchy(n.lng||this.language):A.push(n.lng||this.language);const F=(B,D,V)=>{const j=E&&V!==p?V:G;this.options.missingKeyHandler?this.options.missingKeyHandler(B,l,D,j,U,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(B,l,D,j,U,n),this.emit("missingKey",B,l,D,p)};this.options.saveMissing&&(this.options.saveMissingPlurals&&T?A.forEach(B=>{this.pluralResolver.getSuffixes(B,n).forEach(D=>{F([B],s+D,n[`defaultValue${D}`]||O)})}):F(A,s,O))}p=this.extendTranslation(p,t,n,f,r),C&&p===s&&this.options.appendNamespaceToMissingKey&&(p=`${l}:${s}`),(C||S)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?p=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,S?p:void 0):p=this.options.parseMissingKeyHandler(p))}return i?(f.res=p,f):p}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let d;if(u){const p=t.match(this.interpolator.nestingRegexp);d=p&&p.length}let f=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(f={...this.options.interpolation.defaultVariables,...f}),t=this.interpolator.interpolate(t,f,r.lng||this.language,r),u){const p=t.match(this.interpolator.nestingRegexp),g=p&&p.length;d<g&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var p=arguments.length,g=new Array(p),m=0;m<p;m++)g[m]=arguments[m];return o&&o[0]===g[0]&&!r.context?(s.logger.warn(`It seems you are nesting recursively key: ${g[0]} in key: ${n[0]}`),null):s.translate(...g,n)},r)),r.interpolation&&this.interpolator.reset()}const a=r.postProcess||this.options.postProcess,l=typeof a=="string"?[a]:a;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=wU.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),d=u.key;i=d;let f=u.namespaces;this.options.fallbackNS&&(f=f.concat(this.options.fallbackNS));const p=n.count!==void 0&&typeof n.count!="string",g=p&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),m=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",v=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);f.forEach(x=>{this.isValidLookup(r)||(a=x,!vO[`${v[0]}-${x}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(vO[`${v[0]}-${x}`]=!0,this.logger.warn(`key "${i}" for languages "${v.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. 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i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function Rx(e){return e.charAt(0).toUpperCase()+e.slice(1)}class _O{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=Cs.create("languageUtils")}getScriptPartFromCode(t){if(t=K1(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=K1(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Rx(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Rx(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=Rx(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let 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0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return 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r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>bO[i]-bO[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof i=="number"?`_plural_${i.toString()}`:o():this.options.compatibilityJSON==="v2"||this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1?o():this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString()}shouldUseIntlApi(){return!r1e.includes(this.options.compatibilityJSON)}}function SO(e,t,n){let r=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=Yve(e,t,n);return!o&&i&&typeof n=="string"&&(o=q1(e,n,r),o===void 0&&(o=q1(t,n,r))),o}class a1e{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Cs.create("interpolator"),this.options=t,this.format=t.interpolation&&t.interpolation.format||(n=>n),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const n=t.interpolation;this.escape=n.escape!==void 0?n.escape:Zve,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?ld(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?ld(n.suffix):n.suffixEscaped||"}}",this.formatSeparator=n.formatSeparator?n.formatSeparator:n.formatSeparator||",",this.unescapePrefix=n.unescapeSuffix?"":n.unescapePrefix||"-",this.unescapeSuffix=this.unescapePrefix?"":n.unescapeSuffix||"",this.nestingPrefix=n.nestingPrefix?ld(n.nestingPrefix):n.nestingPrefixEscaped||ld("$t("),this.nestingSuffix=n.nestingSuffix?ld(n.nestingSuffix):n.nestingSuffixEscaped||ld(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${this.prefix}(.+?)${this.suffix}`;this.regexp=new RegExp(t,"g");const 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t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[a.trim()]||(n[a.trim()]=u),u==="false"&&(n[a.trim()]=!1),u==="true"&&(n[a.trim()]=!0),isNaN(u)||(n[a.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function ud(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(K1(i),o),t[s]=a),a(r)}}class u1e{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Cs.create("formatter"),this.options=t,this.formats={number:ud((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:ud((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return 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0&&(l[f]=!0)))}),d||(a[u]=!0)}),(Object.keys(o).length||Object.keys(s).length)&&this.queue.push({pending:s,pendingCount:Object.keys(s).length,loaded:{},errors:[],callback:i}),{toLoad:Object.keys(o),pending:Object.keys(s),toLoadLanguages:Object.keys(a),toLoadNamespaces:Object.keys(l)}}loaded(t,n,r){const i=t.split("|"),o=i[0],s=i[1];n&&this.emit("failedLoading",o,s,n),r&&this.store.addResourceBundle(o,s,r),this.state[t]=n?-1:2;const a={};this.queue.forEach(l=>{Xve(l.loaded,[o],s),c1e(l,t),n&&l.errors.push(n),l.pendingCount===0&&!l.done&&(Object.keys(l.loaded).forEach(u=>{a[u]||(a[u]={});const d=l.loaded[u];d.length&&d.forEach(f=>{a[u][f]===void 0&&(a[u][f]=!0)})}),l.done=!0,l.errors.length?l.callback(l.errors):l.callback())}),this.emit("loaded",a),this.queue=this.queue.filter(l=>!l.done)}read(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:0,o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:this.retryTimeout,s=arguments.length>5?arguments[5]:void 0;if(!t.length)return s(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:t,ns:n,fcName:r,tried:i,wait:o,callback:s});return}this.readingCalls++;const a=(u,d)=>{if(this.readingCalls--,this.waitingReads.length>0){const f=this.waitingReads.shift();this.read(f.lng,f.ns,f.fcName,f.tried,f.wait,f.callback)}if(u&&d&&i<this.maxRetries){setTimeout(()=>{this.read.call(this,t,n,r,i+1,o*2,s)},o);return}s(u,d)},l=this.backend[r].bind(this.backend);if(l.length===2){try{const u=l(t,n);u&&typeof u.then=="function"?u.then(d=>a(null,d)).catch(a):a(null,u)}catch(u){a(u)}return}return l(t,n,a)}prepareLoading(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i=arguments.length>3?arguments[3]:void 0;if(!this.backend)return this.logger.warn("No backend was added via i18next.use. Will not load resources."),i&&i();typeof t=="string"&&(t=this.languageUtils.toResolveHierarchy(t)),typeof n=="string"&&(n=[n]);const o=this.queueLoad(t,n,r,i);if(!o.toLoad.length)return o.pending.length||i(),null;o.toLoad.forEach(s=>{this.loadOne(s)})}load(t,n,r){this.prepareLoading(t,n,{},r)}reload(t,n,r){this.prepareLoading(t,n,{reload:!0},r)}loadOne(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:"";const r=t.split("|"),i=r[0],o=r[1];this.read(i,o,"read",void 0,void 0,(s,a)=>{s&&this.logger.warn(`${n}loading namespace ${o} for language ${i} failed`,s),!s&&a&&this.logger.log(`${n}loaded namespace ${o} for language ${i}`,a),this.loaded(t,s,a)})}saveMissing(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{},a=arguments.length>6&&arguments[6]!==void 0?arguments[6]:()=>{};if(this.services.utils&&this.services.utils.hasLoadedNamespace&&!this.services.utils.hasLoadedNamespace(n)){this.logger.warn(`did not save key "${r}" as the namespace "${n}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...s,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let d;u.length===5?d=u(t,n,r,i,l):d=u(t,n,r,i),d&&typeof d.then=="function"?d.then(f=>a(null,f)).catch(a):a(null,d)}catch(d){a(d)}else u(t,n,r,i,a,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function wO(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function xO(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function R0(){}function f1e(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class Mg extends eS{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=xO(t),this.services={},this.logger=Cs,this.modules={external:[]},f1e(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=wO();this.options={...i,...this.options,...xO(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(d){return d?typeof d=="function"?new d:d:null}if(!this.options.isClone){this.modules.logger?Cs.init(o(this.modules.logger),this.options):Cs.init(null,this.options);let d;this.modules.formatter?d=this.modules.formatter:typeof Intl<"u"&&(d=u1e);const f=new _O(this.options);this.store=new yO(this.options.resources,this.options);const p=this.services;p.logger=Cs,p.resourceStore=this.store,p.languageUtils=f,p.pluralResolver=new s1e(f,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),d&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(p.formatter=o(d),p.formatter.init(p,this.options),this.options.interpolation.format=p.formatter.format.bind(p.formatter)),p.interpolator=new a1e(this.options),p.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},p.backendConnector=new d1e(o(this.modules.backend),p.resourceStore,p,this.options),p.backendConnector.on("*",function(g){for(var m=arguments.length,v=new Array(m>1?m-1:0),x=1;x<m;x++)v[x-1]=arguments[x];t.emit(g,...v)}),this.modules.languageDetector&&(p.languageDetector=o(this.modules.languageDetector),p.languageDetector.init&&p.languageDetector.init(p,this.options.detection,this.options)),this.modules.i18nFormat&&(p.i18nFormat=o(this.modules.i18nFormat),p.i18nFormat.init&&p.i18nFormat.init(this)),this.translator=new X1(this.services,this.options),this.translator.on("*",function(g){for(var m=arguments.length,v=new Array(m>1?m-1:0),x=1;x<m;x++)v[x-1]=arguments[x];t.emit(g,...v)}),this.modules.external.forEach(g=>{g.init&&g.init(this)})}if(this.format=this.options.interpolation.format,r||(r=R0),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const d=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);d.length>0&&d[0]!=="dev"&&(this.options.lng=d[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is defined"),["getResource","hasResourceBundle","getResourceBundle","getDataByLanguage"].forEach(d=>{this[d]=function(){return t.store[d](...arguments)}}),["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(d=>{this[d]=function(){return t.store[d](...arguments),t}});const l=Xh(),u=()=>{const d=(f,p)=>{this.isInitialized&&!this.initializedStoreOnce&&this.logger.warn("init: i18next is already initialized. You should call init just once!"),this.isInitialized=!0,this.options.isClone||this.logger.log("initialized",this.options),this.emit("initialized",this.options),l.resolve(p),r(f,p)};if(this.languages&&this.options.compatibilityAPI!=="v1"&&!this.isInitialized)return d(null,this.t.bind(this));this.changeLanguage(this.options.lng,d)};return this.options.resources||!this.options.initImmediate?u():setTimeout(u,0),l}loadResources(t){let r=arguments.length>1&&arguments[1]!==void 0?arguments[1]:R0;const i=typeof t=="string"?t:this.language;if(typeof t=="function"&&(r=t),!this.options.resources||this.options.partialBundledLanguages){if(i&&i.toLowerCase()==="cimode")return r();const o=[],s=a=>{if(!a)return;this.services.languageUtils.toResolveHierarchy(a).forEach(u=>{o.indexOf(u)<0&&o.push(u)})};i?s(i):this.services.languageUtils.getFallbackCodes(this.options.fallbackLng).forEach(l=>s(l)),this.options.preload&&this.options.preload.forEach(a=>s(a)),this.services.backendConnector.load(o,this.options.ns,a=>{!a&&!this.resolvedLanguage&&this.language&&this.setResolvedLanguage(this.language),r(a)})}else r(null)}reloadResources(t,n,r){const i=Xh();return t||(t=this.languages),n||(n=this.options.ns),r||(r=R0),this.services.backendConnector.reload(t,n,o=>{i.resolve(),r(o)}),i}use(t){if(!t)throw new Error("You are passing an undefined module! Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&wU.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1))for(let n=0;n<this.languages.length;n++){const r=this.languages[n];if(!(["cimode","dev"].indexOf(r)>-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=Xh();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,d=>{s(d,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,d=new Array(u>2?u-2:0),f=2;f<u;f++)d[f-2]=arguments[f];l=i.options.overloadTranslationOptionHandler([s,a].concat(d))}else l={...a};l.lng=l.lng||o.lng,l.lngs=l.lngs||o.lngs,l.ns=l.ns||o.ns,l.keyPrefix=l.keyPrefix||r||o.keyPrefix;const p=i.options.keySeparator||".";let g;return l.keyPrefix&&Array.isArray(s)?g=s.map(m=>`${l.keyPrefix}${p}${m}`):g=l.keyPrefix?`${l.keyPrefix}${p}${s}`:s,i.t(g,l)};return typeof t=="string"?o.lng=t:o.lngs=t,o.ns=n,o.keyPrefix=r,o}t(){return this.translator&&this.translator.translate(...arguments)}exists(){return this.translator&&this.translator.exists(...arguments)}setDefaultNamespace(t){this.options.defaultNS=t}hasLoadedNamespace(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(!this.isInitialized)return this.logger.warn("hasLoadedNamespace: i18next was not initialized",this.languages),!1;if(!this.languages||!this.languages.length)return this.logger.warn("hasLoadedNamespace: i18n.languages were undefined or empty",this.languages),!1;const r=n.lng||this.resolvedLanguage||this.languages[0],i=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(r.toLowerCase()==="cimode")return!0;const s=(a,l)=>{const u=this.services.backendConnector.state[`${a}|${l}`];return u===-1||u===2};if(n.precheck){const a=n.precheck(this,s);if(a!==void 0)return a}return!!(this.hasResourceBundle(r,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||s(r,t)&&(!i||s(o,t)))}loadNamespaces(t,n){const r=Xh();return this.options.ns?(typeof t=="string"&&(t=[t]),t.forEach(i=>{this.options.ns.indexOf(i)<0&&this.options.ns.push(i)}),this.loadResources(i=>{r.resolve(),n&&n(i)}),r):(n&&n(),Promise.resolve())}loadLanguages(t,n){const r=Xh();typeof t=="string"&&(t=[t]);const i=this.options.preload||[],o=t.filter(s=>i.indexOf(s)<0);return o.length?(this.options.preload=i.concat(o),this.loadResources(s=>{r.resolve(),n&&n(s)}),r):(n&&n(),Promise.resolve())}dir(t){if(t||(t=this.resolvedLanguage||(this.languages&&this.languages.length>0?this.languages[0]:this.language)),!t)return"rtl";const n=["ar","shu","sqr","ssh","xaa","yhd","yud","aao","abh","abv","acm","acq","acw","acx","acy","adf","ads","aeb","aec","afb","ajp","apc","apd","arb","arq","ars","ary","arz","auz","avl","ayh","ayl","ayn","ayp","bbz","pga","he","iw","ps","pbt","pbu","pst","prp","prd","ug","ur","ydd","yds","yih","ji","yi","hbo","men","xmn","fa","jpr","peo","pes","prs","dv","sam","ckb"],r=this.services&&this.services.languageUtils||new _O(wO());return n.indexOf(r.getLanguagePartFromCode(t))>-1||t.toLowerCase().indexOf("-arab")>1?"rtl":"ltr"}static createInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;return new Mg(t,n)}cloneInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:R0;const r=t.forkResourceStore;r&&delete t.forkResourceStore;const i={...this.options,...t,isClone:!0},o=new Mg(i);return(t.debug!==void 0||t.prefix!==void 0)&&(o.logger=o.logger.clone(t)),["store","services","language"].forEach(a=>{o[a]=this[a]}),o.services={...this.services},o.services.utils={hasLoadedNamespace:o.hasLoadedNamespace.bind(o)},r&&(o.store=new yO(this.store.data,i),o.services.resourceStore=o.store),o.translator=new X1(o.services,i),o.translator.on("*",function(a){for(var l=arguments.length,u=new Array(l>1?l-1:0),d=1;d<l;d++)u[d-1]=arguments[d];o.emit(a,...u)}),o.init(i,n),o.translator.options=i,o.translator.backendConnector.services.utils={hasLoadedNamespace:o.hasLoadedNamespace.bind(o)},o}toJSON(){return{options:this.options,store:this.store,language:this.language,languages:this.languages,resolvedLanguage:this.resolvedLanguage}}}const Kr=Mg.createInstance();Kr.createInstance=Mg.createInstance;Kr.createInstance;Kr.dir;Kr.init;Kr.loadResources;Kr.reloadResources;Kr.use;Kr.changeLanguage;Kr.getFixedT;const Pp=Kr.t;Kr.exists;Kr.setDefaultNamespace;Kr.hasLoadedNamespace;Kr.loadNamespaces;Kr.loadLanguages;const Ku=e=>typeof 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n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",s=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,a=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),d=l.x*u,f=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",s*Math.min(Math.abs(d),Math.abs(f))),this.setAttr("shadowOffsetX",a.x*d),this.setAttr("shadowOffsetY",a.y*f)}}ba.SceneContext=MSe;class NSe extends iS{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}ba.HitContext=NSe;Object.defineProperty(Qo,"__esModule",{value:!0});Qo.HitCanvas=Qo.SceneCanvas=Qo.Canvas=void 0;const J1=Sn,KU=ba,XU=rt,LSe=nt,DSe=ke;var M0;function $Se(){if(M0)return M0;var e=J1.Util.createCanvasElement(),t=e.getContext("2d");return M0=function(){var n=XU.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),J1.Util.releaseCanvas(e),M0}class oS{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||XU.Konva.pixelRatio||$Se();this.pixelRatio=r,this._canvas=J1.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return J1.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}Qo.Canvas=oS;LSe.Factory.addGetterSetter(oS,"pixelRatio",void 0,(0,DSe.getNumberValidator)());class FSe extends oS{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new KU.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}Qo.SceneCanvas=FSe;class BSe extends oS{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new KU.HitContext(this),this.setSize(t.width,t.height)}}Qo.HitCanvas=BSe;var sS={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=rt,n=Sn;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(p=>p.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var d=a.dragDistance(),f=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(f<d||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(d=>d.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(sS);Object.defineProperty(fn,"__esModule",{value:!0});fn.Node=void 0;const ct=Sn,Am=nt,N0=Qo,wu=rt,uo=sS,Ln=ke;var _v="absoluteOpacity",L0="allEventListeners",la="absoluteTransform",jO="absoluteScale",xu="canvas",USe="Change",zSe="children",VSe="konva",i5="listening",GO="mouseenter",HO="mouseleave",WO="set",qO="Shape",bv=" ",KO="stage",sl="transform",jSe="Stage",o5="visible",GSe=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(bv);let HSe=1;class ze{constructor(t){this._id=HSe++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===sl||t===la)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===sl||t===la,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(bv);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(xu)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===la&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(xu)){const{scene:t,filter:n,hit:r}=this._cache.get(xu);ct.Util.releaseCanvas(t,n,r),this._cache.delete(xu)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,d=n.drawBorder||!1,f=n.hitCanvasPixelRatio||1;if(!i||!o){ct.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var p=new N0.SceneCanvas({pixelRatio:s,width:i,height:o}),g=new N0.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),m=new N0.HitCanvas({pixelRatio:f,width:i,height:o}),v=p.getContext(),x=m.getContext();return m.isCache=!0,p.isCache=!0,this._cache.delete(xu),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(p.getContext()._context.imageSmoothingEnabled=!1,g.getContext()._context.imageSmoothingEnabled=!1),v.save(),x.save(),v.translate(-a,-l),x.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(_v),this._clearSelfAndDescendantCache(jO),this.drawScene(p,this),this.drawHit(m,this),this._isUnderCache=!1,v.restore(),x.restore(),d&&(v.save(),v.beginPath(),v.rect(0,0,i,o),v.closePath(),v.setAttr("strokeStyle","red"),v.setAttr("lineWidth",5),v.stroke(),v.restore()),this._cache.set(xu,{scene:p,filter:g,hit:m,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(xu)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var d=l.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var d=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/d,r.getHeight()/d),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){ct.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(f){ct.Util.error("Unable to apply filter. "+f.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(L0),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(bv),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(bv),i=r.length,o,s,a,l,u,d;if(this._cache&&this._cache.delete(L0),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],d=l[1],u)this.eventListeners[u]&&this._off(u,d,n);else for(s in this.eventListeners)this._off(s,d,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=ct.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),uo.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(la),this._clearSelfAndDescendantCache(_v),this._clearSelfAndDescendantCache(jO),this._clearSelfAndDescendantCache(KO),this._clearSelfAndDescendantCache(o5),this._clearSelfAndDescendantCache(i5)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+ct.Util._capitalize(t);return ct.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==zSe&&(r=WO+ct.Util._capitalize(n),ct.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(i5,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(o5,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;uo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!wu.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==qO&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==jSe&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(sl),this._clearSelfAndDescendantCache(la)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new ct.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(sl);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(sl),this._clearSelfAndDescendantCache(la),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return ct.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return ct.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return ct.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return ct.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return ct.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&ct.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(_v,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=ct.Util.isObject(i)&&!ct.Util._isPlainObject(i)&&!ct.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),ct.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],ct.Util.isValidSelector(o)||(ct.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),ct.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),ct.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(KO,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(la,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new ct.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(la)||new ct.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(sl,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(sl)||new ct.Transform;r.reset();var i=this.x(),o=this.y(),s=wu.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,d=this.attrs.skewY||0,f=this.attrs.offsetX||0,p=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||d!==0)&&r.skew(u,d),(a!==1||l!==1)&&r.scale(a,l),(f!==0||p!==0)&&r.translate(-1*f,-1*p),r.dirty=!1,r}clone(t){var n=ct.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(VSe)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new N0.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,ct.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():wu.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+USe,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[WO+ct.Util._capitalize(t)];return ct.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(wu.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!ct.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===qO&&(n.target=this);var i=(t===GO||t===HO)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===GO||t===HO)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(L0))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(L0,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;uo.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){uo.DD._dragElements.has(this._id)||this._createDragElement(t);const r=uo.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:ct.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=uo.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),uo.DD._endDragBefore(t),uo.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=uo.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||wu.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;uo.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=uo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&uo.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return ct.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return ct.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=ze.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),wu.Konva[r]||(ct.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=wu.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(ze._createNode(i[a]));return o}}fn.Node=ze;ze.prototype.nodeType="Node";ze.prototype._attrsAffectingSize=[];ze.prototype.eventListeners={};ze.prototype.on.call(ze.prototype,GSe,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(sl),this._clearSelfAndDescendantCache(la)});ze.prototype.on.call(ze.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(o5)});ze.prototype.on.call(ze.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(i5)});ze.prototype.on.call(ze.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(_v)});const Kt=Am.Factory.addGetterSetter;Kt(ze,"zIndex");Kt(ze,"absolutePosition");Kt(ze,"position");Kt(ze,"x",0,(0,Ln.getNumberValidator)());Kt(ze,"y",0,(0,Ln.getNumberValidator)());Kt(ze,"globalCompositeOperation","source-over",(0,Ln.getStringValidator)());Kt(ze,"opacity",1,(0,Ln.getNumberValidator)());Kt(ze,"name","",(0,Ln.getStringValidator)());Kt(ze,"id","",(0,Ln.getStringValidator)());Kt(ze,"rotation",0,(0,Ln.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"scale",["x","y"]);Kt(ze,"scaleX",1,(0,Ln.getNumberValidator)());Kt(ze,"scaleY",1,(0,Ln.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"skew",["x","y"]);Kt(ze,"skewX",0,(0,Ln.getNumberValidator)());Kt(ze,"skewY",0,(0,Ln.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"offset",["x","y"]);Kt(ze,"offsetX",0,(0,Ln.getNumberValidator)());Kt(ze,"offsetY",0,(0,Ln.getNumberValidator)());Kt(ze,"dragDistance",null,(0,Ln.getNumberValidator)());Kt(ze,"width",0,(0,Ln.getNumberValidator)());Kt(ze,"height",0,(0,Ln.getNumberValidator)());Kt(ze,"listening",!0,(0,Ln.getBooleanValidator)());Kt(ze,"preventDefault",!0,(0,Ln.getBooleanValidator)());Kt(ze,"filters",null,function(e){return this._filterUpToDate=!1,e});Kt(ze,"visible",!0,(0,Ln.getBooleanValidator)());Kt(ze,"transformsEnabled","all",(0,Ln.getStringValidator)());Kt(ze,"size");Kt(ze,"dragBoundFunc");Kt(ze,"draggable",!1,(0,Ln.getBooleanValidator)());Am.Factory.backCompat(ze,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var vc={};Object.defineProperty(vc,"__esModule",{value:!0});vc.Container=void 0;const zf=nt,Lx=fn,aS=ke;class _c extends Lx.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=Lx.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=Lx.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const d=r===this;if(u){o.save();var f=this.getAbsoluteTransform(r),p=f.getMatrix();o.transform(p[0],p[1],p[2],p[3],p[4],p[5]),o.beginPath();let x;if(l)x=l.call(this,o,this);else{var g=this.clipX(),m=this.clipY();o.rect(g,m,s,a)}o.clip.apply(o,x),p=f.copy().invert().getMatrix(),o.transform(p[0],p[1],p[2],p[3],p[4],p[5])}var v=!d&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";v&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(x){x[t](n,r)}),v&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},d=this;(n=this.children)===null||n===void 0||n.forEach(function(v){if(v.visible()){var x=v.getClientRect({relativeTo:d,skipShadow:t.skipShadow,skipStroke:t.skipStroke});x.width===0&&x.height===0||(o===void 0?(o=x.x,s=x.y,a=x.x+x.width,l=x.y+x.height):(o=Math.min(o,x.x),s=Math.min(s,x.y),a=Math.max(a,x.x+x.width),l=Math.max(l,x.y+x.height)))}});for(var f=this.find("Shape"),p=!1,g=0;g<f.length;g++){var m=f[g];if(m._isVisible(this)){p=!0;break}}return p&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}vc.Container=_c;zf.Factory.addComponentsGetterSetter(_c,"clip",["x","y","width","height"]);zf.Factory.addGetterSetter(_c,"clipX",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipY",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipWidth",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipHeight",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipFunc");var YU={},Vi={};Object.defineProperty(Vi,"__esModule",{value:!0});Vi.releaseCapture=Vi.setPointerCapture=Vi.hasPointerCapture=Vi.createEvent=Vi.getCapturedShape=void 0;const WSe=rt,Lg=new Map,QU=WSe.Konva._global.PointerEvent!==void 0;function qSe(e){return Lg.get(e)}Vi.getCapturedShape=qSe;function vE(e){return{evt:e,pointerId:e.pointerId}}Vi.createEvent=vE;function KSe(e,t){return Lg.get(e)===t}Vi.hasPointerCapture=KSe;function XSe(e,t){ZU(e),t.getStage()&&(Lg.set(e,t),QU&&t._fire("gotpointercapture",vE(new PointerEvent("gotpointercapture"))))}Vi.setPointerCapture=XSe;function ZU(e,t){const n=Lg.get(e);if(!n)return;const r=n.getStage();r&&r.content,Lg.delete(e),QU&&n._fire("lostpointercapture",vE(new PointerEvent("lostpointercapture")))}Vi.releaseCapture=ZU;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=Sn,n=nt,r=vc,i=rt,o=Qo,s=sS,a=rt,l=Vi;var u="Stage",d="string",f="px",p="mouseout",g="mouseleave",m="mouseover",v="mouseenter",x="mousemove",_="mousedown",b="mouseup",y="pointermove",S="pointerdown",C="pointerup",T="pointercancel",E="lostpointercapture",P="pointerout",k="pointerleave",O="pointerover",M="pointerenter",G="contextmenu",U="touchstart",A="touchend",N="touchmove",F="touchcancel",B="wheel",D=5,V=[[v,"_pointerenter"],[_,"_pointerdown"],[x,"_pointermove"],[b,"_pointerup"],[g,"_pointerleave"],[U,"_pointerdown"],[N,"_pointermove"],[A,"_pointerup"],[F,"_pointercancel"],[m,"_pointerover"],[B,"_wheel"],[G,"_contextmenu"],[S,"_pointerdown"],[y,"_pointermove"],[C,"_pointerup"],[T,"_pointercancel"],[E,"_lostpointercapture"]];const j={mouse:{[P]:p,[k]:g,[O]:m,[M]:v,[y]:x,[S]:_,[C]:b,[T]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[P]:"touchout",[k]:"touchleave",[O]:"touchover",[M]:"touchenter",[y]:N,[S]:U,[C]:A,[T]:F,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[P]:P,[k]:k,[O]:O,[M]:M,[y]:y,[S]:S,[C]:C,[T]:T,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},q=le=>le.indexOf("pointer")>=0?"pointer":le.indexOf("touch")>=0?"touch":"mouse",Z=le=>{const W=q(le);if(W==="pointer")return i.Konva.pointerEventsEnabled&&j.pointer;if(W==="touch")return j.touch;if(W==="mouse")return j.mouse};function ee(le={}){return(le.clipFunc||le.clipWidth||le.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),le}const ie="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class se extends r.Container{constructor(W){super(ee(W)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{ee(this.attrs)}),this._checkVisibility()}_validateAdd(W){const ne=W.getType()==="Layer",fe=W.getType()==="FastLayer";ne||fe||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const W=this.visible()?"":"none";this.content.style.display=W}setContainer(W){if(typeof W===d){if(W.charAt(0)==="."){var ne=W.slice(1);W=document.getElementsByClassName(ne)[0]}else{var fe;W.charAt(0)!=="#"?fe=W:fe=W.slice(1),W=document.getElementById(fe)}if(!W)throw"Can not find container in document with id "+fe}return this._setAttr("container",W),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),W.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var W=this.children,ne=W.length,fe;for(fe=0;fe<ne;fe++)W[fe].clear();return this}clone(W){return W||(W={}),W.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,W)}destroy(){super.destroy();var W=this.content;W&&t.Util._isInDocument(W)&&this.container().removeChild(W);var ne=e.stages.indexOf(this);return ne>-1&&e.stages.splice(ne,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const W=this._pointerPositions[0]||this._changedPointerPositions[0];return W?{x:W.x,y:W.y}:(t.Util.warn(ie),null)}_getPointerById(W){return this._pointerPositions.find(ne=>ne.id===W)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(W){W=W||{},W.x=W.x||0,W.y=W.y||0,W.width=W.width||this.width(),W.height=W.height||this.height();var ne=new o.SceneCanvas({width:W.width,height:W.height,pixelRatio:W.pixelRatio||1}),fe=ne.getContext()._context,pe=this.children;return(W.x||W.y)&&fe.translate(-1*W.x,-1*W.y),pe.forEach(function(ve){if(ve.isVisible()){var ye=ve._toKonvaCanvas(W);fe.drawImage(ye._canvas,W.x,W.y,ye.getWidth()/ye.getPixelRatio(),ye.getHeight()/ye.getPixelRatio())}}),ne}getIntersection(W){if(!W)return null;var ne=this.children,fe=ne.length,pe=fe-1,ve;for(ve=pe;ve>=0;ve--){const ye=ne[ve].getIntersection(W);if(ye)return ye}return null}_resizeDOM(){var W=this.width(),ne=this.height();this.content&&(this.content.style.width=W+f,this.content.style.height=ne+f),this.bufferCanvas.setSize(W,ne),this.bufferHitCanvas.setSize(W,ne),this.children.forEach(fe=>{fe.setSize({width:W,height:ne}),fe.draw()})}add(W,...ne){if(arguments.length>1){for(var fe=0;fe<arguments.length;fe++)this.add(arguments[fe]);return this}super.add(W);var pe=this.children.length;return pe>D&&t.Util.warn("The stage has "+pe+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),W.setSize({width:this.width(),height:this.height()}),W.draw(),i.Konva.isBrowser&&this.content.appendChild(W.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(W){return l.hasPointerCapture(W,this)}setPointerCapture(W){l.setPointerCapture(W,this)}releaseCapture(W){l.releaseCapture(W,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&V.forEach(([W,ne])=>{this.content.addEventListener(W,fe=>{this[ne](fe)},{passive:!1})})}_pointerenter(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerenter,{evt:W,target:this,currentTarget:this})}_pointerover(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this})}_getTargetShape(W){let ne=this[W+"targetShape"];return ne&&!ne.getStage()&&(ne=null),ne}_pointerleave(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=this._getTargetShape(fe),ve=!s.DD.isDragging||i.Konva.hitOnDragEnabled;pe&&ve?(pe._fireAndBubble(ne.pointerout,{evt:W}),pe._fireAndBubble(ne.pointerleave,{evt:W}),this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this[fe+"targetShape"]=null):ve&&(this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this._fire(ne.pointerout,{evt:W,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=!1;this._changedPointerPositions.forEach(ve=>{var ye=this.getIntersection(ve);if(s.DD.justDragged=!1,i.Konva["_"+fe+"ListenClick"]=!0,!(ye&&ye.isListening()))return;i.Konva.capturePointerEventsEnabled&&ye.setPointerCapture(ve.id),this[fe+"ClickStartShape"]=ye,ye._fireAndBubble(ne.pointerdown,{evt:W,pointerId:ve.id}),pe=!0;const Me=W.type.indexOf("touch")>=0;ye.preventDefault()&&W.cancelable&&Me&&W.preventDefault()}),pe||this._fire(ne.pointerdown,{evt:W,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;s.DD.isDragging&&s.DD.node.preventDefault()&&W.cancelable&&W.preventDefault(),this.setPointersPositions(W);var pe=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!pe)return;var ve={};let ye=!1;var We=this._getTargetShape(fe);this._changedPointerPositions.forEach(Me=>{const Ee=l.getCapturedShape(Me.id)||this.getIntersection(Me),lt=Me.id,_e={evt:W,pointerId:lt};var jt=We!==Ee;if(jt&&We&&(We._fireAndBubble(ne.pointerout,Object.assign({},_e),Ee),We._fireAndBubble(ne.pointerleave,Object.assign({},_e),Ee)),Ee){if(ve[Ee._id])return;ve[Ee._id]=!0}Ee&&Ee.isListening()?(ye=!0,jt&&(Ee._fireAndBubble(ne.pointerover,Object.assign({},_e),We),Ee._fireAndBubble(ne.pointerenter,Object.assign({},_e),We),this[fe+"targetShape"]=Ee),Ee._fireAndBubble(ne.pointermove,Object.assign({},_e))):We&&(this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this,pointerId:lt}),this[fe+"targetShape"]=null)}),ye||this._fire(ne.pointermove,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;this.setPointersPositions(W);const pe=this[fe+"ClickStartShape"],ve=this[fe+"ClickEndShape"];var ye={};let We=!1;this._changedPointerPositions.forEach(Me=>{const Ee=l.getCapturedShape(Me.id)||this.getIntersection(Me);if(Ee){if(Ee.releaseCapture(Me.id),ye[Ee._id])return;ye[Ee._id]=!0}const lt=Me.id,_e={evt:W,pointerId:lt};let jt=!1;i.Konva["_"+fe+"InDblClickWindow"]?(jt=!0,clearTimeout(this[fe+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+fe+"InDblClickWindow"]=!0,clearTimeout(this[fe+"DblTimeout"])),this[fe+"DblTimeout"]=setTimeout(function(){i.Konva["_"+fe+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),Ee&&Ee.isListening()?(We=!0,this[fe+"ClickEndShape"]=Ee,Ee._fireAndBubble(ne.pointerup,Object.assign({},_e)),i.Konva["_"+fe+"ListenClick"]&&pe&&pe===Ee&&(Ee._fireAndBubble(ne.pointerclick,Object.assign({},_e)),jt&&ve&&ve===Ee&&Ee._fireAndBubble(ne.pointerdblclick,Object.assign({},_e)))):(this[fe+"ClickEndShape"]=null,i.Konva["_"+fe+"ListenClick"]&&this._fire(ne.pointerclick,{evt:W,target:this,currentTarget:this,pointerId:lt}),jt&&this._fire(ne.pointerdblclick,{evt:W,target:this,currentTarget:this,pointerId:lt}))}),We||this._fire(ne.pointerup,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+fe+"ListenClick"]=!1,W.cancelable&&fe!=="touch"&&W.preventDefault()}_contextmenu(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(G,{evt:W}):this._fire(G,{evt:W,target:this,currentTarget:this})}_wheel(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(B,{evt:W}):this._fire(B,{evt:W,target:this,currentTarget:this})}_pointercancel(W){this.setPointersPositions(W);const ne=l.getCapturedShape(W.pointerId)||this.getIntersection(this.getPointerPosition());ne&&ne._fireAndBubble(C,l.createEvent(W)),l.releaseCapture(W.pointerId)}_lostpointercapture(W){l.releaseCapture(W.pointerId)}setPointersPositions(W){var ne=this._getContentPosition(),fe=null,pe=null;W=W||window.event,W.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(W.touches,ve=>{this._pointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})}),Array.prototype.forEach.call(W.changedTouches||W.touches,ve=>{this._changedPointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})})):(fe=(W.clientX-ne.left)/ne.scaleX,pe=(W.clientY-ne.top)/ne.scaleY,this.pointerPos={x:fe,y:pe},this._pointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}],this._changedPointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}])}_setPointerPosition(W){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(W)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var W=this.content.getBoundingClientRect();return{top:W.top,left:W.left,scaleX:W.width/this.content.clientWidth||1,scaleY:W.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var W=this.container();if(!W)throw"Stage has no container. A container is required.";W.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),W.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(W){W.batchDraw()}),this}}e.Stage=se,se.prototype.nodeType=u,(0,a._registerNode)(se),n.Factory.addGetterSetter(se,"container")})(YU);var Pm={},rr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=rt,n=Sn,r=nt,i=fn,o=ke,s=rt,a=Vi;var l="hasShadow",u="shadowRGBA",d="patternImage",f="linearGradient",p="radialGradient";let g;function m(){return g||(g=n.Util.createCanvasElement().getContext("2d"),g)}e.shapes={};function v(k){const O=this.attrs.fillRule;O?k.fill(O):k.fill()}function x(k){k.stroke()}function _(k){k.fill()}function b(k){k.stroke()}function y(){this._clearCache(l)}function S(){this._clearCache(u)}function C(){this._clearCache(d)}function T(){this._clearCache(f)}function E(){this._clearCache(p)}class P extends i.Node{constructor(O){super(O);let M;for(;M=n.Util.getRandomColor(),!(M&&!(M in e.shapes)););this.colorKey=M,e.shapes[M]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(d,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var O=m();const M=O.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(M&&M.setTransform){const G=new n.Transform;G.translate(this.fillPatternX(),this.fillPatternY()),G.rotate(t.Konva.getAngle(this.fillPatternRotation())),G.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),G.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const U=G.getMatrix(),A=typeof DOMMatrix>"u"?{a:U[0],b:U[1],c:U[2],d:U[3],e:U[4],f:U[5]}:new DOMMatrix(U);M.setTransform(A)}return M}}_getLinearGradient(){return this._getCache(f,this.__getLinearGradient)}__getLinearGradient(){var O=this.fillLinearGradientColorStops();if(O){for(var M=m(),G=this.fillLinearGradientStartPoint(),U=this.fillLinearGradientEndPoint(),A=M.createLinearGradient(G.x,G.y,U.x,U.y),N=0;N<O.length;N+=2)A.addColorStop(O[N],O[N+1]);return A}}_getRadialGradient(){return this._getCache(p,this.__getRadialGradient)}__getRadialGradient(){var O=this.fillRadialGradientColorStops();if(O){for(var M=m(),G=this.fillRadialGradientStartPoint(),U=this.fillRadialGradientEndPoint(),A=M.createRadialGradient(G.x,G.y,this.fillRadialGradientStartRadius(),U.x,U.y,this.fillRadialGradientEndRadius()),N=0;N<O.length;N+=2)A.addColorStop(O[N],O[N+1]);return A}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var O=n.Util.colorToRGBA(this.shadowColor());if(O)return"rgba("+O.r+","+O.g+","+O.b+","+O.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const O=this.hitStrokeWidth();return O==="auto"?this.hasStroke():this.strokeEnabled()&&!!O}intersects(O){var M=this.getStage(),G=M.bufferHitCanvas,U;return G.getContext().clear(),this.drawHit(G,null,!0),U=G.context.getImageData(Math.round(O.x),Math.round(O.y),1,1).data,U[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(O){var M;if(!this.getStage()||!((M=this.attrs.perfectDrawEnabled)!==null&&M!==void 0?M:!0))return!1;const U=O||this.hasFill(),A=this.hasStroke(),N=this.getAbsoluteOpacity()!==1;if(U&&A&&N)return!0;const F=this.hasShadow(),B=this.shadowForStrokeEnabled();return!!(U&&A&&F&&B)}setStrokeHitEnabled(O){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),O?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var O=this.size();return{x:this._centroid?-O.width/2:0,y:this._centroid?-O.height/2:0,width:O.width,height:O.height}}getClientRect(O={}){const M=O.skipTransform,G=O.relativeTo,U=this.getSelfRect(),N=!O.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,F=U.width+N,B=U.height+N,D=!O.skipShadow&&this.hasShadow(),V=D?this.shadowOffsetX():0,j=D?this.shadowOffsetY():0,q=F+Math.abs(V),Z=B+Math.abs(j),ee=D&&this.shadowBlur()||0,ie=q+ee*2,se=Z+ee*2,le={width:ie,height:se,x:-(N/2+ee)+Math.min(V,0)+U.x,y:-(N/2+ee)+Math.min(j,0)+U.y};return M?le:this._transformedRect(le,G)}drawScene(O,M){var G=this.getLayer(),U=O||G.getCanvas(),A=U.getContext(),N=this._getCanvasCache(),F=this.getSceneFunc(),B=this.hasShadow(),D,V,j,q=U.isCache,Z=M===this;if(!this.isVisible()&&!Z)return this;if(N){A.save();var ee=this.getAbsoluteTransform(M).getMatrix();return A.transform(ee[0],ee[1],ee[2],ee[3],ee[4],ee[5]),this._drawCachedSceneCanvas(A),A.restore(),this}if(!F)return this;if(A.save(),this._useBufferCanvas()&&!q){D=this.getStage(),V=D.bufferCanvas,j=V.getContext(),j.clear(),j.save(),j._applyLineJoin(this);var ie=this.getAbsoluteTransform(M).getMatrix();j.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),F.call(this,j,this),j.restore();var se=V.pixelRatio;B&&A._applyShadow(this),A._applyOpacity(this),A._applyGlobalCompositeOperation(this),A.drawImage(V._canvas,0,0,V.width/se,V.height/se)}else{if(A._applyLineJoin(this),!Z){var ie=this.getAbsoluteTransform(M).getMatrix();A.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),A._applyOpacity(this),A._applyGlobalCompositeOperation(this)}B&&A._applyShadow(this),F.call(this,A,this)}return A.restore(),this}drawHit(O,M,G=!1){if(!this.shouldDrawHit(M,G))return this;var U=this.getLayer(),A=O||U.hitCanvas,N=A&&A.getContext(),F=this.hitFunc()||this.sceneFunc(),B=this._getCanvasCache(),D=B&&B.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),D){N.save();var V=this.getAbsoluteTransform(M).getMatrix();return N.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedHitCanvas(N),N.restore(),this}if(!F)return this;if(N.save(),N._applyLineJoin(this),!(this===M)){var q=this.getAbsoluteTransform(M).getMatrix();N.transform(q[0],q[1],q[2],q[3],q[4],q[5])}return F.call(this,N,this),N.restore(),this}drawHitFromCache(O=0){var M=this._getCanvasCache(),G=this._getCachedSceneCanvas(),U=M.hit,A=U.getContext(),N=U.getWidth(),F=U.getHeight(),B,D,V,j,q,Z;A.clear(),A.drawImage(G._canvas,0,0,N,F);try{for(B=A.getImageData(0,0,N,F),D=B.data,V=D.length,j=n.Util._hexToRgb(this.colorKey),q=0;q<V;q+=4)Z=D[q+3],Z>O?(D[q]=j.r,D[q+1]=j.g,D[q+2]=j.b,D[q+3]=255):D[q+3]=0;A.putImageData(B,0,0)}catch(ee){n.Util.error("Unable to draw hit graph from cached scene canvas. "+ee.message)}return this}hasPointerCapture(O){return a.hasPointerCapture(O,this)}setPointerCapture(O){a.setPointerCapture(O,this)}releaseCapture(O){a.releaseCapture(O,this)}}e.Shape=P,P.prototype._fillFunc=v,P.prototype._strokeFunc=x,P.prototype._fillFuncHit=_,P.prototype._strokeFuncHit=b,P.prototype._centroid=!1,P.prototype.nodeType="Shape",(0,s._registerNode)(P),P.prototype.eventListeners={},P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",y),P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",S),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",C),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",T),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",E),r.Factory.addGetterSetter(P,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(P,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(P,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"lineJoin"),r.Factory.addGetterSetter(P,"lineCap"),r.Factory.addGetterSetter(P,"sceneFunc"),r.Factory.addGetterSetter(P,"hitFunc"),r.Factory.addGetterSetter(P,"dash"),r.Factory.addGetterSetter(P,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(P,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(P,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternImage"),r.Factory.addGetterSetter(P,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(P,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(P,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(P,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(P,"fillEnabled",!0),r.Factory.addGetterSetter(P,"strokeEnabled",!0),r.Factory.addGetterSetter(P,"shadowEnabled",!0),r.Factory.addGetterSetter(P,"dashEnabled",!0),r.Factory.addGetterSetter(P,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(P,"fillPriority","color"),r.Factory.addComponentsGetterSetter(P,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(P,"fillPatternRotation",0),r.Factory.addGetterSetter(P,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(P,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(rr);Object.defineProperty(Pm,"__esModule",{value:!0});Pm.Layer=void 0;const ia=Sn,Dx=vc,hd=fn,_E=nt,XO=Qo,YSe=ke,QSe=rr,ZSe=rt;var JSe="#",e2e="beforeDraw",t2e="draw",JU=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],n2e=JU.length;class Vf extends Dx.Container{constructor(t){super(t),this.canvas=new XO.SceneCanvas,this.hitCanvas=new XO.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){hd.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=hd.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(hd.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(hd.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return hd.Node.prototype.remove.call(this),t&&t.parentNode&&ia.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&ia.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),hd.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){ia.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){ia.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,ia.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<n2e;i++){const o=JU[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=ia.Util._rgbToHex(r[0],r[1],r[2]),s=QSe.shapes[JSe+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(e2e,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),Dx.Container.prototype.drawScene.call(this,i,n),this._fire(t2e,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),Dx.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){ia.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return ia.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return ia.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Pm.Layer=Vf;Vf.prototype.nodeType="Layer";(0,ZSe._registerNode)(Vf);_E.Factory.addGetterSetter(Vf,"imageSmoothingEnabled",!0);_E.Factory.addGetterSetter(Vf,"clearBeforeDraw",!0);_E.Factory.addGetterSetter(Vf,"hitGraphEnabled",!0,(0,YSe.getBooleanValidator)());var lS={};Object.defineProperty(lS,"__esModule",{value:!0});lS.FastLayer=void 0;const r2e=Sn,i2e=Pm,o2e=rt;class bE extends i2e.Layer{constructor(t){super(t),this.listening(!1),r2e.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}lS.FastLayer=bE;bE.prototype.nodeType="FastLayer";(0,o2e._registerNode)(bE);var jf={};Object.defineProperty(jf,"__esModule",{value:!0});jf.Group=void 0;const s2e=Sn,a2e=vc,l2e=rt;class SE extends a2e.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&s2e.Util.throw("You may only add groups and shapes to groups.")}}jf.Group=SE;SE.prototype.nodeType="Group";(0,l2e._registerNode)(SE);var Gf={};Object.defineProperty(Gf,"__esModule",{value:!0});Gf.Animation=void 0;const $x=rt,YO=Sn;var Fx=function(){return $x.glob.performance&&$x.glob.performance.now?function(){return $x.glob.performance.now()}:function(){return new Date().getTime()}}();class ws{constructor(t,n){this.id=ws.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Fx(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=ws,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=Fx(),ws._addAnimation(this),this}stop(){return ws._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,d,f;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(Fx()),l=i.length,o?f=o.call(r,r.frame)!==!1:f=!0,!!f)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(d in t)t.hasOwnProperty(d)&&t[d].batchDraw()}static _animationLoop(){var t=ws;t.animations.length?(t._runFrames(),YO.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,YO.Util.requestAnimFrame(this._animationLoop))}}Gf.Animation=ws;ws.animations=[];ws.animIdCounter=0;ws.animRunning=!1;var ez={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=Sn,n=Gf,r=fn,i=rt;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,d=["fill","stroke","shadowColor"];class f{constructor(m,v,x,_,b,y,S){this.prop=m,this.propFunc=v,this.begin=_,this._pos=_,this.duration=y,this._change=0,this.prevPos=0,this.yoyo=S,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=x,this._change=b-this.begin,this.pause()}fire(m){var v=this[m];v&&v()}setTime(m){m>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():m<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=m,this.update())}getTime(){return this._time}setPosition(m){this.prevPos=this._pos,this.propFunc(m),this._pos=m}getPosition(m){return m===void 0&&(m=this._time),this.func(m,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(m){this.pause(),this._time=m,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var m=this.getTimer()-this._startTime;this.state===a?this.setTime(m):this.state===l&&this.setTime(this.duration-m)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class p{constructor(m){var v=this,x=m.node,_=x._id,b,y=m.easing||e.Easings.Linear,S=!!m.yoyo,C;typeof m.duration>"u"?b=.3:m.duration===0?b=.001:b=m.duration,this.node=x,this._id=u++;var T=x.getLayer()||(x instanceof i.Konva.Stage?x.getLayers():null);T||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){v.tween.onEnterFrame()},T),this.tween=new f(C,function(E){v._tweenFunc(E)},y,0,1,b*1e3,S),this._addListeners(),p.attrs[_]||(p.attrs[_]={}),p.attrs[_][this._id]||(p.attrs[_][this._id]={}),p.tweens[_]||(p.tweens[_]={});for(C in m)o[C]===void 0&&this._addAttr(C,m[C]);this.reset(),this.onFinish=m.onFinish,this.onReset=m.onReset,this.onUpdate=m.onUpdate}_addAttr(m,v){var x=this.node,_=x._id,b,y,S,C,T,E,P,k;if(S=p.tweens[_][m],S&&delete p.attrs[_][S][m],b=x.getAttr(m),t.Util._isArray(v))if(y=[],T=Math.max(v.length,b.length),m==="points"&&v.length!==b.length&&(v.length>b.length?(P=b,b=t.Util._prepareArrayForTween(b,v,x.closed())):(E=v,v=t.Util._prepareArrayForTween(v,b,x.closed()))),m.indexOf("fill")===0)for(C=0;C<T;C++)if(C%2===0)y.push(v[C]-b[C]);else{var O=t.Util.colorToRGBA(b[C]);k=t.Util.colorToRGBA(v[C]),b[C]=O,y.push({r:k.r-O.r,g:k.g-O.g,b:k.b-O.b,a:k.a-O.a})}else for(C=0;C<T;C++)y.push(v[C]-b[C]);else d.indexOf(m)!==-1?(b=t.Util.colorToRGBA(b),k=t.Util.colorToRGBA(v),y={r:k.r-b.r,g:k.g-b.g,b:k.b-b.b,a:k.a-b.a}):y=v-b;p.attrs[_][this._id][m]={start:b,diff:y,end:v,trueEnd:E,trueStart:P},p.tweens[_][m]=this._id}_tweenFunc(m){var v=this.node,x=p.attrs[v._id][this._id],_,b,y,S,C,T,E,P;for(_ in x){if(b=x[_],y=b.start,S=b.diff,P=b.end,t.Util._isArray(y))if(C=[],E=Math.max(y.length,P.length),_.indexOf("fill")===0)for(T=0;T<E;T++)T%2===0?C.push((y[T]||0)+S[T]*m):C.push("rgba("+Math.round(y[T].r+S[T].r*m)+","+Math.round(y[T].g+S[T].g*m)+","+Math.round(y[T].b+S[T].b*m)+","+(y[T].a+S[T].a*m)+")");else for(T=0;T<E;T++)C.push((y[T]||0)+S[T]*m);else d.indexOf(_)!==-1?C="rgba("+Math.round(y.r+S.r*m)+","+Math.round(y.g+S.g*m)+","+Math.round(y.b+S.b*m)+","+(y.a+S.a*m)+")":C=y+S*m;v.setAttr(_,C)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var m=this.node,v=p.attrs[m._id][this._id];v.points&&v.points.trueEnd&&m.setAttr("points",v.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var m=this.node,v=p.attrs[m._id][this._id];v.points&&v.points.trueStart&&m.points(v.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(m){return this.tween.seek(m*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var m=this.node._id,v=this._id,x=p.tweens[m],_;this.pause();for(_ in x)delete p.tweens[m][_];delete p.attrs[m][v]}}e.Tween=p,p.attrs={},p.tweens={},r.Node.prototype.to=function(g){var m=g.onFinish;g.node=this,g.onFinish=function(){this.destroy(),m&&m()};var v=new p(g);v.play()},e.Easings={BackEaseIn(g,m,v,x){var _=1.70158;return v*(g/=x)*g*((_+1)*g-_)+m},BackEaseOut(g,m,v,x){var 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t=(s,a,l)=>{let u,d,f;u=l/2,d=0;for(let g=0;g<20;g++)f=u*e.tValues[20][g]+u,d+=e.cValues[20][g]*r(s,a,f);return u*d};e.getCubicArcLength=t;const n=(s,a,l)=>{l===void 0&&(l=1);const u=s[0]-2*s[1]+s[2],d=a[0]-2*a[1]+a[2],f=2*s[1]-2*s[0],p=2*a[1]-2*a[0],g=4*(u*u+d*d),m=4*(u*f+d*p),v=f*f+p*p;if(g===0)return l*Math.sqrt(Math.pow(s[2]-s[0],2)+Math.pow(a[2]-a[0],2));const x=m/(2*g),_=v/g,b=l+x,y=_-x*x,S=b*b+y>0?Math.sqrt(b*b+y):0,C=x*x+y>0?Math.sqrt(x*x+y):0,T=x+Math.sqrt(x*x+y)!==0?y*Math.log(Math.abs((b+S)/(x+C))):0;return Math.sqrt(g)/2*(b*S-x*C+T)};e.getQuadraticArcLength=n;function r(s,a,l){const u=i(1,l,s),d=i(1,l,a),f=u*u+d*d;return Math.sqrt(f)}const i=(s,a,l)=>{const u=l.length-1;let d,f;if(u===0)return 0;if(s===0){f=0;for(let p=0;p<=u;p++)f+=e.binomialCoefficients[u][p]*Math.pow(1-a,u-p)*Math.pow(a,p)*l[p];return f}else{d=new Array(u);for(let p=0;p<u;p++)d[p]=u*(l[p+1]-l[p]);return i(s-1,a,d)}},o=(s,a,l)=>{let u=1,d=s/a,f=(s-l(d))/a,p=0;for(;u>.001;){const g=l(d+f),m=Math.abs(s-g)/a;if(m<u)u=m,d+=f;else{const v=l(d-f),x=Math.abs(s-v)/a;x<u?(u=x,d-=f):f/=2}if(p++,p>500)break}return d};e.t2length=o})(nz);Object.defineProperty(Hf,"__esModule",{value:!0});Hf.Path=void 0;const h2e=nt,p2e=rr,g2e=rt,pd=nz;class Zn extends p2e.Shape{constructor(t){super(t),this.dataArray=[],this.pathLength=0,this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute()})}_readDataAttribute(){this.dataArray=Zn.parsePathData(this.data()),this.pathLength=Zn.getPathLength(this.dataArray)}_sceneFunc(t){var n=this.dataArray;t.beginPath();for(var r=!1,i=0;i<n.length;i++){var o=n[i].command,s=n[i].points;switch(o){case"L":t.lineTo(s[0],s[1]);break;case"M":t.moveTo(s[0],s[1]);break;case"C":t.bezierCurveTo(s[0],s[1],s[2],s[3],s[4],s[5]);break;case"Q":t.quadraticCurveTo(s[0],s[1],s[2],s[3]);break;case"A":var a=s[0],l=s[1],u=s[2],d=s[3],f=s[4],p=s[5],g=s[6],m=s[7],v=u>d?u:d,x=u>d?1:u/d,_=u>d?d/u:1;t.translate(a,l),t.rotate(g),t.scale(x,_),t.arc(0,0,v,f,f+p,1-m),t.scale(1/x,1/_),t.rotate(-g),t.translate(-a,-l);break;case"z":r=!0,t.closePath();break}}!r&&!this.hasFill()?t.strokeShape(this):t.fillStrokeShape(this)}getSelfRect(){var t=[];this.dataArray.forEach(function(u){if(u.command==="A"){var d=u.points[4],f=u.points[5],p=u.points[4]+f,g=Math.PI/180;if(Math.abs(d-p)<g&&(g=Math.abs(d-p)),f<0)for(let m=d-g;m>p;m-=g){const v=Zn.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],m,0);t.push(v.x,v.y)}else for(let m=d+g;m<p;m+=g){const v=Zn.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],m,0);t.push(v.x,v.y)}}else if(u.command==="C")for(let m=0;m<=1;m+=.01){const v=Zn.getPointOnCubicBezier(m,u.start.x,u.start.y,u.points[0],u.points[1],u.points[2],u.points[3],u.points[4],u.points[5]);t.push(v.x,v.y)}else t=t.concat(u.points)});for(var n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],isNaN(s)||(n=Math.min(n,s),r=Math.max(r,s)),isNaN(a)||(i=Math.min(i,a),o=Math.max(o,a));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return Zn.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return Zn.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return Zn.getPointOnCubicBezier((0,pd.t2length)(t,Zn.getPathLength(n),v=>(0,pd.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return Zn.getPointOnQuadraticBezier((0,pd.t2length)(t,Zn.getPathLength(n),v=>(0,pd.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],d=a[2],f=a[3],p=a[4],g=a[5],m=a[6];return p+=g*t/s.pathLength,Zn.getPointOnEllipticalArc(l,u,d,f,p,m)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var d=l*u,f;if(i===n)f={x:s,y:a+d};else if((a-r)/(s-n+1e-8)===l)f={x:s+u,y:a+d};else{var p,g,m=this.getLineLength(n,r,i,o),v=(s-n)*(i-n)+(a-r)*(o-r);v=v/(m*m),p=n+v*(i-n),g=r+v*(o-r);var x=this.getLineLength(s,a,p,g),_=Math.sqrt(t*t-x*x);u=Math.sqrt(_*_/(1+l*l)),i<n&&(u*=-1),d=l*u,f={x:p+u,y:g+d}}return f}static getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function d(x){return x*x*x}function f(x){return 3*x*x*(1-x)}function p(x){return 3*x*(1-x)*(1-x)}function g(x){return(1-x)*(1-x)*(1-x)}var m=l*d(t)+s*f(t)+i*p(t)+n*g(t),v=u*d(t)+a*f(t)+o*p(t)+r*g(t);return{x:m,y:v}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(g){return g*g}function u(g){return 2*g*(1-g)}function d(g){return(1-g)*(1-g)}var f=s*l(t)+i*u(t)+n*d(t),p=a*l(t)+o*u(t)+r*d(t);return{x:f,y:p}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,d=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,f;for(i=1;i<o.length;i++){var p=o[i],g=p.charAt(0);for(p=p.slice(1),a.length=0;f=d.exec(p);)a.push(f[0]);for(var m=[],v=0,x=a.length;v<x;v++){if(a[v]==="00"){m.push(0,0);continue}var _=parseFloat(a[v]);isNaN(_)?m.push(0):m.push(_)}for(;m.length>0&&!isNaN(m[0]);){var b=null,y=[],S=l,C=u,T,E,P,k,O,M,G,U,A,N;switch(g){case"l":l+=m.shift(),u+=m.shift(),b="L",y.push(l,u);break;case"L":l=m.shift(),u=m.shift(),y.push(l,u);break;case"m":var F=m.shift(),B=m.shift();if(l+=F,u+=B,b="M",s.length>2&&s[s.length-1].command==="z"){for(var D=s.length-2;D>=0;D--)if(s[D].command==="M"){l=s[D].points[0]+F,u=s[D].points[1]+B;break}}y.push(l,u),g="l";break;case"M":l=m.shift(),u=m.shift(),b="M",y.push(l,u),g="L";break;case"h":l+=m.shift(),b="L",y.push(l,u);break;case"H":l=m.shift(),b="L",y.push(l,u);break;case"v":u+=m.shift(),b="L",y.push(l,u);break;case"V":u=m.shift(),b="L",y.push(l,u);break;case"C":y.push(m.shift(),m.shift(),m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"c":y.push(l+m.shift(),u+m.shift(),l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"S":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,m.shift(),m.shift()),l=m.shift(),u=m.shift(),b="C",y.push(l,u);break;case"s":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"Q":y.push(m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"q":y.push(l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="Q",y.push(l,u);break;case"T":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l=m.shift(),u=m.shift(),b="Q",y.push(E,P,l,u);break;case"t":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l+=m.shift(),u+=m.shift(),b="Q",y.push(E,P,l,u);break;case"A":k=m.shift(),O=m.shift(),M=m.shift(),G=m.shift(),U=m.shift(),A=l,N=u,l=m.shift(),u=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,G,U,k,O,M);break;case"a":k=m.shift(),O=m.shift(),M=m.shift(),G=m.shift(),U=m.shift(),A=l,N=u,l+=m.shift(),u+=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,G,U,k,O,M);break}s.push({command:b||g,points:y,start:{x:S,y:C},pathLength:this.calcLength(S,C,b||g,y)})}(g==="z"||g==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=Zn;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,pd.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,pd.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var d=i[4],f=i[5],p=i[4]+f,g=Math.PI/180;if(Math.abs(d-p)<g&&(g=Math.abs(d-p)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],d,0),f<0)for(l=d-g;l>p;l-=g)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=d+g;l<p;l+=g)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],p,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var d=u*(Math.PI/180),f=Math.cos(d)*(t-r)/2+Math.sin(d)*(n-i)/2,p=-1*Math.sin(d)*(t-r)/2+Math.cos(d)*(n-i)/2,g=f*f/(a*a)+p*p/(l*l);g>1&&(a*=Math.sqrt(g),l*=Math.sqrt(g));var m=Math.sqrt((a*a*(l*l)-a*a*(p*p)-l*l*(f*f))/(a*a*(p*p)+l*l*(f*f)));o===s&&(m*=-1),isNaN(m)&&(m=0);var v=m*a*p/l,x=m*-l*f/a,_=(t+r)/2+Math.cos(d)*v-Math.sin(d)*x,b=(n+i)/2+Math.sin(d)*v+Math.cos(d)*x,y=function(O){return Math.sqrt(O[0]*O[0]+O[1]*O[1])},S=function(O,M){return(O[0]*M[0]+O[1]*M[1])/(y(O)*y(M))},C=function(O,M){return(O[0]*M[1]<O[1]*M[0]?-1:1)*Math.acos(S(O,M))},T=C([1,0],[(f-v)/a,(p-x)/l]),E=[(f-v)/a,(p-x)/l],P=[(-1*f-v)/a,(-1*p-x)/l],k=C(E,P);return S(E,P)<=-1&&(k=Math.PI),S(E,P)>=1&&(k=0),s===0&&k>0&&(k=k-2*Math.PI),s===1&&k<0&&(k=k+2*Math.PI),[_,b,a,l,T,k,d,s]}}Hf.Path=Zn;Zn.prototype.className="Path";Zn.prototype._attrsAffectingSize=["data"];(0,g2e._registerNode)(Zn);h2e.Factory.addGetterSetter(Zn,"data");Object.defineProperty(fS,"__esModule",{value:!0});fS.Arrow=void 0;const pS=nt,m2e=Rm,rz=ke,y2e=rt,JO=Hf;class bc extends m2e.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const p=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],g=JO.Path.calcLength(i[i.length-4],i[i.length-3],"C",p),m=JO.Path.getPointOnQuadraticBezier(Math.min(1,1-s/g),p[0],p[1],p[2],p[3],p[4],p[5]);l=r[a-2]-m.x,u=r[a-1]-m.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var d=(Math.atan2(u,l)+n)%n,f=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(d),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}fS.Arrow=bc;bc.prototype.className="Arrow";(0,y2e._registerNode)(bc);pS.Factory.addGetterSetter(bc,"pointerLength",10,(0,rz.getNumberValidator)());pS.Factory.addGetterSetter(bc,"pointerWidth",10,(0,rz.getNumberValidator)());pS.Factory.addGetterSetter(bc,"pointerAtBeginning",!1);pS.Factory.addGetterSetter(bc,"pointerAtEnding",!0);var gS={};Object.defineProperty(gS,"__esModule",{value:!0});gS.Circle=void 0;const v2e=nt,_2e=rr,b2e=ke,S2e=rt;let Wf=class extends _2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};gS.Circle=Wf;Wf.prototype._centroid=!0;Wf.prototype.className="Circle";Wf.prototype._attrsAffectingSize=["radius"];(0,S2e._registerNode)(Wf);v2e.Factory.addGetterSetter(Wf,"radius",0,(0,b2e.getNumberValidator)());var mS={};Object.defineProperty(mS,"__esModule",{value:!0});mS.Ellipse=void 0;const wE=nt,w2e=rr,iz=ke,x2e=rt;class ou extends w2e.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}mS.Ellipse=ou;ou.prototype.className="Ellipse";ou.prototype._centroid=!0;ou.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,x2e._registerNode)(ou);wE.Factory.addComponentsGetterSetter(ou,"radius",["x","y"]);wE.Factory.addGetterSetter(ou,"radiusX",0,(0,iz.getNumberValidator)());wE.Factory.addGetterSetter(ou,"radiusY",0,(0,iz.getNumberValidator)());var yS={};Object.defineProperty(yS,"__esModule",{value:!0});yS.Image=void 0;const Bx=Sn,Sc=nt,C2e=rr,T2e=rt,Om=ke;let Us=class oz extends C2e.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?Bx.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?Bx.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=Bx.Util.createImageElement();i.onload=function(){var o=new oz({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};yS.Image=Us;Us.prototype.className="Image";(0,T2e._registerNode)(Us);Sc.Factory.addGetterSetter(Us,"cornerRadius",0,(0,Om.getNumberOrArrayOfNumbersValidator)(4));Sc.Factory.addGetterSetter(Us,"image");Sc.Factory.addComponentsGetterSetter(Us,"crop",["x","y","width","height"]);Sc.Factory.addGetterSetter(Us,"cropX",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropY",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropWidth",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropHeight",0,(0,Om.getNumberValidator)());var Rf={};Object.defineProperty(Rf,"__esModule",{value:!0});Rf.Tag=Rf.Label=void 0;const vS=nt,E2e=rr,A2e=jf,xE=ke,sz=rt;var az=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],P2e="Change.konva",R2e="none",a5="up",l5="right",u5="down",c5="left",O2e=az.length;class CE extends A2e.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<O2e;r++)t.on(az[r]+P2e,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case a5:a=r/2,l=-1*u;break;case l5:a=r+s,l=i/2;break;case u5:a=r/2,l=i+u;break;case c5:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}Rf.Label=CE;CE.prototype.className="Label";(0,sz._registerNode)(CE);class wc extends E2e.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,d=0,f=0;typeof a=="number"?l=u=d=f=Math.min(a,n/2,r/2):(l=Math.min(a[0]||0,n/2,r/2),u=Math.min(a[1]||0,n/2,r/2),f=Math.min(a[2]||0,n/2,r/2),d=Math.min(a[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===a5&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*s),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===l5&&(t.lineTo(n,(r-s)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+s)/2)),t.lineTo(n,r-f),t.arc(n-f,r-f,f,0,Math.PI/2,!1),i===u5&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+s),t.lineTo((n-o)/2,r)),t.lineTo(d,r),t.arc(d,r-d,d,Math.PI/2,Math.PI,!1),i===c5&&(t.lineTo(0,(r+s)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-s)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),s=this.width(),a=this.height();return o===a5?(n-=i,a+=i):o===u5?a+=i:o===c5?(t-=r*1.5,s+=r):o===l5&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}Rf.Tag=wc;wc.prototype.className="Tag";(0,sz._registerNode)(wc);vS.Factory.addGetterSetter(wc,"pointerDirection",R2e);vS.Factory.addGetterSetter(wc,"pointerWidth",0,(0,xE.getNumberValidator)());vS.Factory.addGetterSetter(wc,"pointerHeight",0,(0,xE.getNumberValidator)());vS.Factory.addGetterSetter(wc,"cornerRadius",0,(0,xE.getNumberOrArrayOfNumbersValidator)(4));var km={};Object.defineProperty(km,"__esModule",{value:!0});km.Rect=void 0;const k2e=nt,I2e=rr,M2e=rt,N2e=Sn,L2e=ke;let _S=class extends I2e.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?N2e.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};km.Rect=_S;_S.prototype.className="Rect";(0,M2e._registerNode)(_S);k2e.Factory.addGetterSetter(_S,"cornerRadius",0,(0,L2e.getNumberOrArrayOfNumbersValidator)(4));var bS={};Object.defineProperty(bS,"__esModule",{value:!0});bS.RegularPolygon=void 0;const lz=nt,D2e=rr,uz=ke,$2e=rt;class xc extends D2e.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}bS.RegularPolygon=xc;xc.prototype.className="RegularPolygon";xc.prototype._centroid=!0;xc.prototype._attrsAffectingSize=["radius"];(0,$2e._registerNode)(xc);lz.Factory.addGetterSetter(xc,"radius",0,(0,uz.getNumberValidator)());lz.Factory.addGetterSetter(xc,"sides",0,(0,uz.getNumberValidator)());var SS={};Object.defineProperty(SS,"__esModule",{value:!0});SS.Ring=void 0;const cz=nt,F2e=rr,dz=ke,B2e=rt;var ek=Math.PI*2;class Cc extends F2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,ek,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),ek,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}SS.Ring=Cc;Cc.prototype.className="Ring";Cc.prototype._centroid=!0;Cc.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,B2e._registerNode)(Cc);cz.Factory.addGetterSetter(Cc,"innerRadius",0,(0,dz.getNumberValidator)());cz.Factory.addGetterSetter(Cc,"outerRadius",0,(0,dz.getNumberValidator)());var wS={};Object.defineProperty(wS,"__esModule",{value:!0});wS.Sprite=void 0;const Tc=nt,U2e=rr,z2e=Gf,fz=ke,V2e=rt;class zs extends U2e.Shape{constructor(t){super(t),this._updated=!0,this.anim=new z2e.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+0],l=o[i+1],u=o[i+2],d=o[i+3],f=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,d),t.closePath(),t.fillStrokeShape(this)),f)if(s){var p=s[n],g=r*2;t.drawImage(f,a,l,u,d,p[g+0],p[g+1],u,d)}else t.drawImage(f,a,l,u,d,0,0,u,d)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+2],l=o[i+3];if(t.beginPath(),s){var u=s[n],d=r*2;t.rect(u[d+0],u[d+1],a,l)}else t.rect(0,0,a,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}wS.Sprite=zs;zs.prototype.className="Sprite";(0,V2e._registerNode)(zs);Tc.Factory.addGetterSetter(zs,"animation");Tc.Factory.addGetterSetter(zs,"animations");Tc.Factory.addGetterSetter(zs,"frameOffsets");Tc.Factory.addGetterSetter(zs,"image");Tc.Factory.addGetterSetter(zs,"frameIndex",0,(0,fz.getNumberValidator)());Tc.Factory.addGetterSetter(zs,"frameRate",17,(0,fz.getNumberValidator)());Tc.Factory.backCompat(zs,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var xS={};Object.defineProperty(xS,"__esModule",{value:!0});xS.Star=void 0;const TE=nt,j2e=rr,EE=ke,G2e=rt;class su extends j2e.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}xS.Star=su;su.prototype.className="Star";su.prototype._centroid=!0;su.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,G2e._registerNode)(su);TE.Factory.addGetterSetter(su,"numPoints",5,(0,EE.getNumberValidator)());TE.Factory.addGetterSetter(su,"innerRadius",0,(0,EE.getNumberValidator)());TE.Factory.addGetterSetter(su,"outerRadius",0,(0,EE.getNumberValidator)());var uc={};Object.defineProperty(uc,"__esModule",{value:!0});uc.Text=uc.stringToArray=void 0;const d5=Sn,di=nt,H2e=rr,au=ke,W2e=rt;function hz(e){return Array.from(e)}uc.stringToArray=hz;var gd="auto",q2e="center",Zh="justify",K2e="Change.konva",X2e="2d",tk="-",pz="left",Y2e="text",Q2e="Text",Z2e="top",J2e="bottom",nk="middle",gz="normal",ewe="px ",D0=" ",twe="right",nwe="word",rwe="char",rk="none",Ux="…",mz=["fontFamily","fontSize","fontStyle","fontVariant","padding","align","verticalAlign","lineHeight","text","width","height","wrap","ellipsis","letterSpacing"],iwe=mz.length;function owe(e){return e.split(",").map(t=>{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var $0;function zx(){return $0||($0=d5.Util.createCanvasElement().getContext(X2e),$0)}function swe(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function awe(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function lwe(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}class Dn extends H2e.Shape{constructor(t){super(lwe(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n<iwe;n++)this.on(mz[n]+K2e,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),d=this.getWidth(),f=this.letterSpacing(),p=this.fill(),g=this.textDecoration(),m=g.indexOf("underline")!==-1,v=g.indexOf("line-through")!==-1,x,_=0,_=s/2,b=0,y=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",nk),t.setAttr("textAlign",pz),a===nk?l=(this.getHeight()-r*s-i*2)/2:a===J2e&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),x=0;x<r;x++){var b=0,y=0,S=n[x],C=S.text,T=S.width,E=S.lastInParagraph,P,k,O;if(t.save(),u===twe?b+=d-T-i*2:u===q2e&&(b+=(d-T-i*2)/2),m){t.save(),t.beginPath(),t.moveTo(b,_+y+Math.round(o/2)),P=C.split(" ").length-1,k=P===0,O=u===Zh&&!E?d-i*2:T,t.lineTo(b+Math.round(O),_+y+Math.round(o/2)),t.lineWidth=o/15;const F=this._getLinearGradient();t.strokeStyle=F||p,t.stroke(),t.restore()}if(v){t.save(),t.beginPath(),t.moveTo(b,_+y),P=C.split(" ").length-1,k=P===0,O=u===Zh&&E&&!k?d-i*2:T,t.lineTo(b+Math.round(O),_+y),t.lineWidth=o/15;const F=this._getLinearGradient();t.strokeStyle=F||p,t.stroke(),t.restore()}if(f!==0||u===Zh){P=C.split(" ").length-1;for(var M=hz(C),G=0;G<M.length;G++){var U=M[G];U===" "&&!E&&u===Zh&&(b+=(d-i*2-T)/P),this._partialTextX=b,this._partialTextY=_+y,this._partialText=U,t.fillStrokeShape(this),b+=this.measureSize(U).width+f}}else this._partialTextX=b,this._partialTextY=_+y,this._partialText=C,t.fillStrokeShape(this);t.restore(),r>1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=d5.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(Y2e,n),this}getWidth(){var t=this.attrs.width===gd||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===gd||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return d5.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}measureSize(t){var n=zx(),r=this.fontSize(),i;return n.save(),n.font=this._getContextFont(),i=n.measureText(t),n.restore(),{width:i.width,height:r}}_getContextFont(){return this.fontStyle()+D0+this.fontVariant()+D0+(this.fontSize()+ewe)+owe(this.fontFamily())}_addTextLine(t){this.align()===Zh&&(t=t.trim());var r=this._getTextWidth(t);return this.textArr.push({text:t,width:r,lastInParagraph:!1})}_getTextWidth(t){var n=this.letterSpacing(),r=t.length;return zx().measureText(t).width+(r?n*(r-1):0)}_setTextData(){var t=this.text().split(`
-`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,s=this.attrs.height,a=o!==gd&&o!==void 0,l=s!==gd&&s!==void 0,u=this.padding(),d=o-u*2,f=s-u*2,p=0,g=this.wrap(),m=g!==rk,v=g!==rwe&&m,x=this.ellipsis();this.textArr=[],zx().font=this._getContextFont();for(var _=x?this._getTextWidth(Ux):0,b=0,y=t.length;b<y;++b){var S=t[b],C=this._getTextWidth(S);if(a&&C>d)for(;S.length>0;){for(var T=0,E=S.length,P="",k=0;T<E;){var O=T+E>>>1,M=S.slice(0,O+1),G=this._getTextWidth(M)+_;G<=d?(T=O+1,P=M,k=G):E=O}if(P){if(v){var U,A=S[P.length],N=A===D0||A===tk;N&&k<=d?U=P.length:U=Math.max(P.lastIndexOf(D0),P.lastIndexOf(tk))+1,U>0&&(T=U,P=P.slice(0,T),k=this._getTextWidth(P))}P=P.trimRight(),this._addTextLine(P),r=Math.max(r,k),p+=i;var F=this._shouldHandleEllipsis(p);if(F){this._tryToAddEllipsisToLastLine();break}if(S=S.slice(T),S=S.trimLeft(),S.length>0&&(C=this._getTextWidth(S),C<=d)){this._addTextLine(S),p+=i,r=Math.max(r,C);break}}else break}else this._addTextLine(S),p+=i,r=Math.max(r,C),this._shouldHandleEllipsis(p)&&b<y-1&&this._tryToAddEllipsisToLastLine();if(this.textArr[this.textArr.length-1]&&(this.textArr[this.textArr.length-1].lastInParagraph=!0),l&&p+i>f)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==gd&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==rk;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==gd&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),s=this.textArr[this.textArr.length-1];if(!(!s||!o)){if(n){var a=this._getTextWidth(s.text+Ux)<i;a||(s.text=s.text.slice(0,s.text.length-3))}this.textArr.splice(this.textArr.length-1,1),this._addTextLine(s.text+Ux)}}getStrokeScaleEnabled(){return!0}}uc.Text=Dn;Dn.prototype._fillFunc=swe;Dn.prototype._strokeFunc=awe;Dn.prototype.className=Q2e;Dn.prototype._attrsAffectingSize=["text","fontSize","padding","wrap","lineHeight","letterSpacing"];(0,W2e._registerNode)(Dn);di.Factory.overWriteSetter(Dn,"width",(0,au.getNumberOrAutoValidator)());di.Factory.overWriteSetter(Dn,"height",(0,au.getNumberOrAutoValidator)());di.Factory.addGetterSetter(Dn,"fontFamily","Arial");di.Factory.addGetterSetter(Dn,"fontSize",12,(0,au.getNumberValidator)());di.Factory.addGetterSetter(Dn,"fontStyle",gz);di.Factory.addGetterSetter(Dn,"fontVariant",gz);di.Factory.addGetterSetter(Dn,"padding",0,(0,au.getNumberValidator)());di.Factory.addGetterSetter(Dn,"align",pz);di.Factory.addGetterSetter(Dn,"verticalAlign",Z2e);di.Factory.addGetterSetter(Dn,"lineHeight",1,(0,au.getNumberValidator)());di.Factory.addGetterSetter(Dn,"wrap",nwe);di.Factory.addGetterSetter(Dn,"ellipsis",!1,(0,au.getBooleanValidator)());di.Factory.addGetterSetter(Dn,"letterSpacing",0,(0,au.getNumberValidator)());di.Factory.addGetterSetter(Dn,"text","",(0,au.getStringValidator)());di.Factory.addGetterSetter(Dn,"textDecoration","");var CS={};Object.defineProperty(CS,"__esModule",{value:!0});CS.TextPath=void 0;const Vx=Sn,is=nt,uwe=rr,Jh=Hf,jx=uc,yz=ke,cwe=rt;var dwe="",vz="normal";function _z(e){e.fillText(this.partialText,0,0)}function bz(e){e.strokeText(this.partialText,0,0)}class ir extends uwe.Shape{constructor(t){super(t),this.dummyCanvas=Vx.Util.createCanvasElement(),this.dataArray=[],this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute(),this._setTextData()}),this.on("textChange.konva alignChange.konva letterSpacingChange.konva kerningFuncChange.konva fontSizeChange.konva fontFamilyChange.konva",this._setTextData),this._setTextData()}_getTextPathLength(){return Jh.Path.getPathLength(this.dataArray)}_getPointAtLength(t){if(!this.attrs.data)return null;const n=this.pathLength;return t-1>n?null:Jh.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=Jh.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var s=0;s<o.length;s++){t.save();var a=o[s].p0;t.translate(a.x,a.y),t.rotate(o[s].rotation),this.partialText=o[s].text,t.fillStrokeShape(this),n==="underline"&&(s===0&&t.moveTo(0,i/2+1),t.lineTo(i,i/2+1)),t.restore()}n==="underline"&&(t.strokeStyle=r,t.lineWidth=i/20,t.stroke()),t.restore()}_hitFunc(t){t.beginPath();var n=this.glyphInfo;if(n.length>=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;i<n.length;i++){var o=n[i].p1;t.lineTo(o.x,o.y)}t.setAttr("lineWidth",this.fontSize()),t.setAttr("strokeStyle",this.colorKey),t.stroke()}getTextWidth(){return this.textWidth}getTextHeight(){return Vx.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}setText(t){return jx.Text.prototype.setText.call(this,t)}_getContextFont(){return jx.Text.prototype._getContextFont.call(this)}_getTextSize(t){var n=this.dummyCanvas,r=n.getContext("2d");r.save(),r.font=this._getContextFont();var i=r.measureText(t);return r.restore(),{width:i.width,height:parseInt(`${this.fontSize()}`,10)}}_setTextData(){const{width:t,height:n}=this._getTextSize(this.attrs.text);if(this.textWidth=t,this.textHeight=n,this.glyphInfo=[],!this.attrs.data)return null;const r=this.letterSpacing(),i=this.align(),o=this.kerningFunc(),s=Math.max(this.textWidth+((this.attrs.text||"").length-1)*r,0);let a=0;i==="center"&&(a=Math.max(0,this.pathLength/2-s/2)),i==="right"&&(a=Math.max(0,this.pathLength-s));const l=(0,jx.stringToArray)(this.text());let u=a;for(var d=0;d<l.length;d++){const f=this._getPointAtLength(u);if(!f)return;let p=this._getTextSize(l[d]).width+r;if(l[d]===" "&&i==="justify"){const b=this.text().split(" ").length-1;p+=(this.pathLength-s)/b}const g=this._getPointAtLength(u+p);if(!g)return;const m=Jh.Path.getLineLength(f.x,f.y,g.x,g.y);let v=0;if(o)try{v=o(l[d-1],l[d])*this.fontSize()}catch{v=0}f.x+=v,g.x+=v,this.textWidth+=v;const x=Jh.Path.getPointOnLine(v+m/2,f.x,f.y,g.x,g.y),_=Math.atan2(g.y-f.y,g.x-f.x);this.glyphInfo.push({transposeX:x.x,transposeY:x.y,text:l[d],rotation:_,p0:f,p1:g}),u+=p}}getSelfRect(){if(!this.glyphInfo.length)return{x:0,y:0,width:0,height:0};var t=[];this.glyphInfo.forEach(function(d){t.push(d.p0.x),t.push(d.p0.y),t.push(d.p1.x),t.push(d.p1.y)});for(var n=t[0]||0,r=t[0]||0,i=t[1]||0,o=t[1]||0,s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],n=Math.min(n,s),r=Math.max(r,s),i=Math.min(i,a),o=Math.max(o,a);var u=this.fontSize();return{x:n-u/2,y:i-u/2,width:r-n+u,height:o-i+u}}destroy(){return Vx.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}CS.TextPath=ir;ir.prototype._fillFunc=_z;ir.prototype._strokeFunc=bz;ir.prototype._fillFuncHit=_z;ir.prototype._strokeFuncHit=bz;ir.prototype.className="TextPath";ir.prototype._attrsAffectingSize=["text","fontSize","data"];(0,cwe._registerNode)(ir);is.Factory.addGetterSetter(ir,"data");is.Factory.addGetterSetter(ir,"fontFamily","Arial");is.Factory.addGetterSetter(ir,"fontSize",12,(0,yz.getNumberValidator)());is.Factory.addGetterSetter(ir,"fontStyle",vz);is.Factory.addGetterSetter(ir,"align","left");is.Factory.addGetterSetter(ir,"letterSpacing",0,(0,yz.getNumberValidator)());is.Factory.addGetterSetter(ir,"textBaseline","middle");is.Factory.addGetterSetter(ir,"fontVariant",vz);is.Factory.addGetterSetter(ir,"text",dwe);is.Factory.addGetterSetter(ir,"textDecoration",null);is.Factory.addGetterSetter(ir,"kerningFunc",null);var TS={};Object.defineProperty(TS,"__esModule",{value:!0});TS.Transformer=void 0;const zt=Sn,Ft=nt,ik=fn,fwe=rr,hwe=km,ok=jf,$o=rt,lu=ke,pwe=rt;var Sz="tr-konva",gwe=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${Sz}`).join(" "),sk="nodesRect",mwe=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],ywe={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const vwe="ontouchstart"in $o.Konva._global;function _we(e,t){if(e==="rotater")return"crosshair";t+=zt.Util.degToRad(ywe[e]||0);var n=(zt.Util.radToDeg(t)%360+360)%360;return zt.Util._inRange(n,315+22.5,360)||zt.Util._inRange(n,0,22.5)?"ns-resize":zt.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":zt.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":zt.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":zt.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":zt.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":zt.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":zt.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(zt.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var e_=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],ak=1e8;function bwe(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function wz(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function Swe(e,t){const n=bwe(e);return wz(e,t,n)}function wwe(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=$o.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class Ct extends ok.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(gwe,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return zt.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return Sz+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(zt.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(mwe.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(sk),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(sk,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=($o.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),d={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return wz(d,-$o.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-ak,y:-ak,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const d=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var f=[{x:d.x,y:d.y},{x:d.x+d.width,y:d.y},{x:d.x+d.width,y:d.y+d.height},{x:d.x,y:d.y+d.height}],p=u.getAbsoluteTransform();f.forEach(function(g){var m=p.point(g);n.push(m)})});const r=new zt.Transform;r.rotate(-$o.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var d=r.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:$o.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),e_.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new hwe.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:vwe?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=$o.Konva.getAngle(this.rotation()),o=_we(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new fwe.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*zt.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const d=o.getAbsolutePosition();if(!(u.x===d.x&&u.y===d.y)){if(this._movingAnchorName==="rotater"){var f=this._getNodeRect();n=o.x()-f.width/2,r=-o.y()+f.height/2;let U=Math.atan2(-r,n)+Math.PI/2;f.height<0&&(U-=Math.PI);var p=$o.Konva.getAngle(this.rotation());const A=p+U,N=$o.Konva.getAngle(this.rotationSnapTolerance()),B=wwe(this.rotationSnaps(),A,N)-f.rotation,D=Swe(f,B);this._fitNodesInto(D,t);return}var g=this.shiftBehavior(),m;g==="inverted"?m=this.keepRatio()&&!t.shiftKey:g==="none"?m=this.keepRatio():m=this.keepRatio()||t.shiftKey;var y=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(v.x-o.x(),2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-left").x()>v.x?-1:1,_=this.findOne(".top-left").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-left").x(v.x-n),this.findOne(".top-left").y(v.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-v.x,2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-right").x()<v.x?-1:1,_=this.findOne(".top-right").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-right").x(v.x+n),this.findOne(".top-right").y(v.y-r)}var b=o.position();this.findOne(".top-left").y(b.y),this.findOne(".bottom-right").x(b.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(v.x-o.x(),2)+Math.pow(o.y()-v.y,2));var x=v.x<o.x()?-1:1,_=o.y()<v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,o.x(v.x-n),o.y(v.y+r)}b=o.position(),this.findOne(".top-left").x(b.x),this.findOne(".bottom-right").y(b.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-v.x,2)+Math.pow(o.y()-v.y,2));var x=this.findOne(".bottom-right").x()<v.x?-1:1,_=this.findOne(".bottom-right").y()<v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".bottom-right").x(v.x+n),this.findOne(".bottom-right").y(v.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var y=this.centeredScaling()||t.altKey;if(y){var S=this.findOne(".top-left"),C=this.findOne(".bottom-right"),T=S.x(),E=S.y(),P=this.getWidth()-C.x(),k=this.getHeight()-C.y();C.move({x:-T,y:-E}),S.move({x:P,y:k})}var O=this.findOne(".top-left").getAbsolutePosition();n=O.x,r=O.y;var M=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),G=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:M,height:G,rotation:$o.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(zt.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(zt.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new zt.Transform;if(s.rotate($o.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const f=s.point({x:-this.padding()*2,y:0});if(t.x+=f.x,t.y+=f.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const f=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const f=s.point({x:0,y:-this.padding()*2});if(t.x+=f.x,t.y+=f.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const f=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const f=this.boundBoxFunc()(r,t);f?t=f:zt.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new zt.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new zt.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const d=u.multiply(l.invert());this._nodes.forEach(f=>{var p;const g=f.getParent().getAbsoluteTransform(),m=f.getTransform().copy();m.translate(f.offsetX(),f.offsetY());const v=new zt.Transform;v.multiply(g.copy().invert()).multiply(d).multiply(g).multiply(m);const x=v.decompose();f.setAttrs(x),this._fire("transform",{evt:n,target:f}),f._fire("transform",{evt:n,target:f}),(p=f.getLayer())===null||p===void 0||p.batchDraw()}),this.rotation(zt.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(zt.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(f=>{f.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*zt.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const d=this.anchorStyleFunc();d&&u.forEach(f=>{d(f)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),ok.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return ik.Node.prototype.toObject.call(this)}clone(t){var n=ik.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}TS.Transformer=Ct;function xwe(e){return e instanceof Array||zt.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){e_.indexOf(t)===-1&&zt.Util.warn("Unknown anchor name: "+t+". Available names are: "+e_.join(", "))}),e||[]}Ct.prototype.className="Transformer";(0,pwe._registerNode)(Ct);Ft.Factory.addGetterSetter(Ct,"enabledAnchors",e_,xwe);Ft.Factory.addGetterSetter(Ct,"flipEnabled",!0,(0,lu.getBooleanValidator)());Ft.Factory.addGetterSetter(Ct,"resizeEnabled",!0);Ft.Factory.addGetterSetter(Ct,"anchorSize",10,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"rotateEnabled",!0);Ft.Factory.addGetterSetter(Ct,"rotationSnaps",[]);Ft.Factory.addGetterSetter(Ct,"rotateAnchorOffset",50,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"rotationSnapTolerance",5,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderEnabled",!0);Ft.Factory.addGetterSetter(Ct,"anchorStroke","rgb(0, 161, 255)");Ft.Factory.addGetterSetter(Ct,"anchorStrokeWidth",1,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"anchorFill","white");Ft.Factory.addGetterSetter(Ct,"anchorCornerRadius",0,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderStroke","rgb(0, 161, 255)");Ft.Factory.addGetterSetter(Ct,"borderStrokeWidth",1,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderDash");Ft.Factory.addGetterSetter(Ct,"keepRatio",!0);Ft.Factory.addGetterSetter(Ct,"shiftBehavior","default");Ft.Factory.addGetterSetter(Ct,"centeredScaling",!1);Ft.Factory.addGetterSetter(Ct,"ignoreStroke",!1);Ft.Factory.addGetterSetter(Ct,"padding",0,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"node");Ft.Factory.addGetterSetter(Ct,"nodes");Ft.Factory.addGetterSetter(Ct,"boundBoxFunc");Ft.Factory.addGetterSetter(Ct,"anchorDragBoundFunc");Ft.Factory.addGetterSetter(Ct,"anchorStyleFunc");Ft.Factory.addGetterSetter(Ct,"shouldOverdrawWholeArea",!1);Ft.Factory.addGetterSetter(Ct,"useSingleNodeRotation",!0);Ft.Factory.backCompat(Ct,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var ES={};Object.defineProperty(ES,"__esModule",{value:!0});ES.Wedge=void 0;const AS=nt,Cwe=rr,Twe=rt,xz=ke,Ewe=rt;class za extends Cwe.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,Twe.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}ES.Wedge=za;za.prototype.className="Wedge";za.prototype._centroid=!0;za.prototype._attrsAffectingSize=["radius"];(0,Ewe._registerNode)(za);AS.Factory.addGetterSetter(za,"radius",0,(0,xz.getNumberValidator)());AS.Factory.addGetterSetter(za,"angle",0,(0,xz.getNumberValidator)());AS.Factory.addGetterSetter(za,"clockwise",!1);AS.Factory.backCompat(za,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var PS={};Object.defineProperty(PS,"__esModule",{value:!0});PS.Blur=void 0;const lk=nt,Awe=fn,Pwe=ke;function uk(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var Rwe=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],Owe=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function kwe(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,d,f,p,g,m,v,x,_,b,y,S,C,T,E,P,k,O,M,G,U=t+t+1,A=r-1,N=i-1,F=t+1,B=F*(F+1)/2,D=new uk,V=null,j=D,q=null,Z=null,ee=Rwe[t],ie=Owe[t];for(a=1;a<U;a++)j=j.next=new uk,a===F&&(V=j);for(j.next=D,f=d=0,s=0;s<i;s++){for(S=C=T=E=p=g=m=v=0,x=F*(P=n[d]),_=F*(k=n[d+1]),b=F*(O=n[d+2]),y=F*(M=n[d+3]),p+=B*P,g+=B*k,m+=B*O,v+=B*M,j=D,a=0;a<F;a++)j.r=P,j.g=k,j.b=O,j.a=M,j=j.next;for(a=1;a<F;a++)l=d+((A<a?A:a)<<2),p+=(j.r=P=n[l])*(G=F-a),g+=(j.g=k=n[l+1])*G,m+=(j.b=O=n[l+2])*G,v+=(j.a=M=n[l+3])*G,S+=P,C+=k,T+=O,E+=M,j=j.next;for(q=D,Z=V,o=0;o<r;o++)n[d+3]=M=v*ee>>ie,M!==0?(M=255/M,n[d]=(p*ee>>ie)*M,n[d+1]=(g*ee>>ie)*M,n[d+2]=(m*ee>>ie)*M):n[d]=n[d+1]=n[d+2]=0,p-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=f+((l=o+t+1)<A?l:A)<<2,S+=q.r=n[l],C+=q.g=n[l+1],T+=q.b=n[l+2],E+=q.a=n[l+3],p+=S,g+=C,m+=T,v+=E,q=q.next,x+=P=Z.r,_+=k=Z.g,b+=O=Z.b,y+=M=Z.a,S-=P,C-=k,T-=O,E-=M,Z=Z.next,d+=4;f+=r}for(o=0;o<r;o++){for(C=T=E=S=g=m=v=p=0,d=o<<2,x=F*(P=n[d]),_=F*(k=n[d+1]),b=F*(O=n[d+2]),y=F*(M=n[d+3]),p+=B*P,g+=B*k,m+=B*O,v+=B*M,j=D,a=0;a<F;a++)j.r=P,j.g=k,j.b=O,j.a=M,j=j.next;for(u=r,a=1;a<=t;a++)d=u+o<<2,p+=(j.r=P=n[d])*(G=F-a),g+=(j.g=k=n[d+1])*G,m+=(j.b=O=n[d+2])*G,v+=(j.a=M=n[d+3])*G,S+=P,C+=k,T+=O,E+=M,j=j.next,a<N&&(u+=r);for(d=o,q=D,Z=V,s=0;s<i;s++)l=d<<2,n[l+3]=M=v*ee>>ie,M>0?(M=255/M,n[l]=(p*ee>>ie)*M,n[l+1]=(g*ee>>ie)*M,n[l+2]=(m*ee>>ie)*M):n[l]=n[l+1]=n[l+2]=0,p-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=o+((l=s+F)<N?l:N)*r<<2,p+=S+=q.r=n[l],g+=C+=q.g=n[l+1],m+=T+=q.b=n[l+2],v+=E+=q.a=n[l+3],q=q.next,x+=P=Z.r,_+=k=Z.g,b+=O=Z.b,y+=M=Z.a,S-=P,C-=k,T-=O,E-=M,Z=Z.next,d+=r}}const Iwe=function(t){var n=Math.round(this.blurRadius());n>0&&kwe(t,n)};PS.Blur=Iwe;lk.Factory.addGetterSetter(Awe.Node,"blurRadius",0,(0,Pwe.getNumberValidator)(),lk.Factory.afterSetFilter);var RS={};Object.defineProperty(RS,"__esModule",{value:!0});RS.Brighten=void 0;const ck=nt,Mwe=fn,Nwe=ke,Lwe=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};RS.Brighten=Lwe;ck.Factory.addGetterSetter(Mwe.Node,"brightness",0,(0,Nwe.getNumberValidator)(),ck.Factory.afterSetFilter);var OS={};Object.defineProperty(OS,"__esModule",{value:!0});OS.Contrast=void 0;const dk=nt,Dwe=fn,$we=ke,Fwe=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};OS.Contrast=Fwe;dk.Factory.addGetterSetter(Dwe.Node,"contrast",0,(0,$we.getNumberValidator)(),dk.Factory.afterSetFilter);var kS={};Object.defineProperty(kS,"__esModule",{value:!0});kS.Emboss=void 0;const ql=nt,IS=fn,Bwe=Sn,Cz=ke,Uwe=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,d=l*4,f=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:Bwe.Util.error("Unknown emboss direction: "+r)}do{var p=(f-1)*d,g=o;f+g<1&&(g=0),f+g>u&&(g=0);var m=(f-1+g)*l*4,v=l;do{var x=p+(v-1)*4,_=s;v+_<1&&(_=0),v+_>l&&(_=0);var b=m+(v-1+_)*4,y=a[x]-a[b],S=a[x+1]-a[b+1],C=a[x+2]-a[b+2],T=y,E=T>0?T:-T,P=S>0?S:-S,k=C>0?C:-C;if(P>E&&(T=S),k>E&&(T=C),T*=t,i){var O=a[x]+T,M=a[x+1]+T,G=a[x+2]+T;a[x]=O>255?255:O<0?0:O,a[x+1]=M>255?255:M<0?0:M,a[x+2]=G>255?255:G<0?0:G}else{var U=n-T;U<0?U=0:U>255&&(U=255),a[x]=a[x+1]=a[x+2]=U}}while(--v)}while(--f)};kS.Emboss=Uwe;ql.Factory.addGetterSetter(IS.Node,"embossStrength",.5,(0,Cz.getNumberValidator)(),ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossWhiteLevel",.5,(0,Cz.getNumberValidator)(),ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossDirection","top-left",null,ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossBlend",!1,null,ql.Factory.afterSetFilter);var MS={};Object.defineProperty(MS,"__esModule",{value:!0});MS.Enhance=void 0;const fk=nt,zwe=fn,Vwe=ke;function Gx(e,t,n,r,i){var o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const jwe=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],d=u,f,p,g=this.enhance();if(g!==0){for(p=0;p<n;p+=4)o=t[p+0],o<r?r=o:o>i&&(i=o),l=t[p+1],l<s?s=l:l>a&&(a=l),f=t[p+2],f<u?u=f:f>d&&(d=f);i===r&&(i=255,r=0),a===s&&(a=255,s=0),d===u&&(d=255,u=0);var m,v,x,_,b,y,S,C,T;for(g>0?(v=i+g*(255-i),x=r-g*(r-0),b=a+g*(255-a),y=s-g*(s-0),C=d+g*(255-d),T=u-g*(u-0)):(m=(i+r)*.5,v=i+g*(i-m),x=r+g*(r-m),_=(a+s)*.5,b=a+g*(a-_),y=s+g*(s-_),S=(d+u)*.5,C=d+g*(d-S),T=u+g*(u-S)),p=0;p<n;p+=4)t[p+0]=Gx(t[p+0],r,i,x,v),t[p+1]=Gx(t[p+1],s,a,y,b),t[p+2]=Gx(t[p+2],u,d,T,C)}};MS.Enhance=jwe;fk.Factory.addGetterSetter(zwe.Node,"enhance",0,(0,Vwe.getNumberValidator)(),fk.Factory.afterSetFilter);var NS={};Object.defineProperty(NS,"__esModule",{value:!0});NS.Grayscale=void 0;const Gwe=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};NS.Grayscale=Gwe;var LS={};Object.defineProperty(LS,"__esModule",{value:!0});LS.HSL=void 0;const Of=nt,AE=fn,PE=ke;Of.Factory.addGetterSetter(AE.Node,"hue",0,(0,PE.getNumberValidator)(),Of.Factory.afterSetFilter);Of.Factory.addGetterSetter(AE.Node,"saturation",0,(0,PE.getNumberValidator)(),Of.Factory.afterSetFilter);Of.Factory.addGetterSetter(AE.Node,"luminance",0,(0,PE.getNumberValidator)(),Of.Factory.afterSetFilter);const Hwe=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s=this.luminance()*127,a,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),d=.299*r+.701*l+.167*u,f=.587*r-.587*l+.33*u,p=.114*r-.114*l-.497*u,g=.299*r-.299*l-.328*u,m=.587*r+.413*l+.035*u,v=.114*r-.114*l+.293*u,x=.299*r-.3*l+1.25*u,_=.587*r-.586*l-1.05*u,b=.114*r+.886*l-.2*u,y,S,C,T;for(a=0;a<n;a+=4)y=t[a+0],S=t[a+1],C=t[a+2],T=t[a+3],t[a+0]=d*y+f*S+p*C+s,t[a+1]=g*y+m*S+v*C+s,t[a+2]=x*y+_*S+b*C+s,t[a+3]=T};LS.HSL=Hwe;var DS={};Object.defineProperty(DS,"__esModule",{value:!0});DS.HSV=void 0;const kf=nt,RE=fn,OE=ke,Wwe=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,d=.587*r-.587*a+.33*l,f=.114*r-.114*a-.497*l,p=.299*r-.299*a-.328*l,g=.587*r+.413*a+.035*l,m=.114*r-.114*a+.293*l,v=.299*r-.3*a+1.25*l,x=.587*r-.586*a-1.05*l,_=.114*r+.886*a-.2*l,b,y,S,C;for(s=0;s<n;s+=4)b=t[s+0],y=t[s+1],S=t[s+2],C=t[s+3],t[s+0]=u*b+d*y+f*S,t[s+1]=p*b+g*y+m*S,t[s+2]=v*b+x*y+_*S,t[s+3]=C};DS.HSV=Wwe;kf.Factory.addGetterSetter(RE.Node,"hue",0,(0,OE.getNumberValidator)(),kf.Factory.afterSetFilter);kf.Factory.addGetterSetter(RE.Node,"saturation",0,(0,OE.getNumberValidator)(),kf.Factory.afterSetFilter);kf.Factory.addGetterSetter(RE.Node,"value",0,(0,OE.getNumberValidator)(),kf.Factory.afterSetFilter);var $S={};Object.defineProperty($S,"__esModule",{value:!0});$S.Invert=void 0;const qwe=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};$S.Invert=qwe;var FS={};Object.defineProperty(FS,"__esModule",{value:!0});FS.Kaleidoscope=void 0;const t_=nt,Tz=fn,hk=Sn,Ez=ke;var Kwe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,d,f,p=0,g=0,m=0,v=0,x,_=Math.sqrt(a*a+l*l);d=o-a,f=s-l,x=Math.sqrt(d*d+f*f),_=x>_?x:_;var b=s,y=o,S,C,T=360/y*Math.PI/180,E,P;for(C=0;C<y;C+=1)for(E=Math.sin(C*T),P=Math.cos(C*T),S=0;S<b;S+=1)d=Math.floor(a+_*S/b*P),f=Math.floor(l+_*S/b*E),u=(f*o+d)*4,p=r[u+0],g=r[u+1],m=r[u+2],v=r[u+3],u=(C+S*o)*4,i[u+0]=p,i[u+1]=g,i[u+2]=m,i[u+3]=v},Xwe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,d,f,p,g,m=0,v=0,x=0,_=0,b,y=Math.sqrt(a*a+l*l);d=o-a,f=s-l,b=Math.sqrt(d*d+f*f),y=b>y?b:y;var S=s,C=o,T,E,P=n.polarRotation||0,k,O;for(d=0;d<o;d+=1)for(f=0;f<s;f+=1)p=d-a,g=f-l,T=Math.sqrt(p*p+g*g)*S/y,E=(Math.atan2(g,p)*180/Math.PI+360+P)%360,E=E*C/360,k=Math.floor(E),O=Math.floor(T),u=(O*o+k)*4,m=r[u+0],v=r[u+1],x=r[u+2],_=r[u+3],u=(f*o+d)*4,i[u+0]=m,i[u+1]=v,i[u+2]=x,i[u+3]=_};const Ywe=function(e){var t=e.width,n=e.height,r,i,o,s,a,l,u,d,f,p,g=Math.round(this.kaleidoscopePower()),m=Math.round(this.kaleidoscopeAngle()),v=Math.floor(t*(m%360)/360);if(!(g<1)){var x=hk.Util.createCanvasElement();x.width=t,x.height=n;var _=x.getContext("2d").getImageData(0,0,t,n);hk.Util.releaseCanvas(x),Kwe(e,_,{polarCenterX:t/2,polarCenterY:n/2});for(var b=t/Math.pow(2,g);b<=8;)b=b*2,g-=1;b=Math.ceil(b);var y=b,S=0,C=y,T=1;for(v+b>t&&(S=y,C=0,T=-1),i=0;i<n;i+=1)for(r=S;r!==C;r+=T)o=Math.round(r+v)%t,f=(t*i+o)*4,a=_.data[f+0],l=_.data[f+1],u=_.data[f+2],d=_.data[f+3],p=(t*i+r)*4,_.data[p+0]=a,_.data[p+1]=l,_.data[p+2]=u,_.data[p+3]=d;for(i=0;i<n;i+=1)for(y=Math.floor(b),s=0;s<g;s+=1){for(r=0;r<y+1;r+=1)f=(t*i+r)*4,a=_.data[f+0],l=_.data[f+1],u=_.data[f+2],d=_.data[f+3],p=(t*i+y*2-r-1)*4,_.data[p+0]=a,_.data[p+1]=l,_.data[p+2]=u,_.data[p+3]=d;y*=2}Xwe(_,e,{polarRotation:0})}};FS.Kaleidoscope=Ywe;t_.Factory.addGetterSetter(Tz.Node,"kaleidoscopePower",2,(0,Ez.getNumberValidator)(),t_.Factory.afterSetFilter);t_.Factory.addGetterSetter(Tz.Node,"kaleidoscopeAngle",0,(0,Ez.getNumberValidator)(),t_.Factory.afterSetFilter);var BS={};Object.defineProperty(BS,"__esModule",{value:!0});BS.Mask=void 0;const pk=nt,Qwe=fn,Zwe=ke;function F0(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function ep(e,t){return Math.sqrt(Math.pow(e[0]-t[0],2)+Math.pow(e[1]-t[1],2)+Math.pow(e[2]-t[2],2))}function Jwe(e){for(var t=[0,0,0],n=0;n<e.length;n++)t[0]+=e[n][0],t[1]+=e[n][1],t[2]+=e[n][2];return t[0]/=e.length,t[1]/=e.length,t[2]/=e.length,t}function exe(e,t){var n=F0(e,0,0),r=F0(e,e.width-1,0),i=F0(e,0,e.height-1),o=F0(e,e.width-1,e.height-1),s=t||10;if(ep(n,r)<s&&ep(r,o)<s&&ep(o,i)<s&&ep(i,n)<s){for(var a=Jwe([r,n,o,i]),l=[],u=0;u<e.width*e.height;u++){var d=ep(a,[e.data[u*4],e.data[u*4+1],e.data[u*4+2]]);l[u]=d<s?0:255}return l}}function txe(e,t){for(var n=0;n<e.width*e.height;n++)e.data[4*n+3]=t[n]}function nxe(e,t,n){for(var r=[1,1,1,1,0,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d===255*8?255:0}return s}function rxe(e,t,n){for(var r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d>=255*4?255:0}return s}function ixe(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d}return s}const oxe=function(e){var t=this.threshold(),n=exe(e,t);return n&&(n=nxe(n,e.width,e.height),n=rxe(n,e.width,e.height),n=ixe(n,e.width,e.height),txe(e,n)),e};BS.Mask=oxe;pk.Factory.addGetterSetter(Qwe.Node,"threshold",0,(0,Zwe.getNumberValidator)(),pk.Factory.afterSetFilter);var 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r=t[n],i=n===t.length-1;IE(r,this.supportsBinary,o=>{const s={};try{Ok&&this.ws.send(o)}catch{}i&&LE(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){typeof this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){const t=this.opts.secure?"wss":"ws",n=this.query||{};return this.opts.timestampRequests&&(n[this.opts.timestampParam]=Bz()),this.supportsBinary||(n.b64=1),this.createUri(t,n)}check(){return!!z0}}function d3e(e,t){return e.type==="message"&&typeof e.data!="string"&&t[0]>=48&&t[0]<=54}class f3e extends NE{get name(){return"webtransport"}doOpen(){typeof WebTransport=="function"&&(this.transport=new WebTransport(this.createUri("https"),this.opts.transportOptions[this.name]),this.transport.closed.then(()=>{this.onClose()}).catch(t=>{this.onError("webtransport error",t)}),this.transport.ready.then(()=>{this.transport.createBidirectionalStream().then(t=>{const n=t.readable.getReader();this.writer=t.writable.getWriter();let r;const i=()=>{n.read().then(({done:s,value:a})=>{s||(!r&&a.byteLength===1&&a[0]===54?r=!0:(this.onPacket(KCe(a,r,"arraybuffer")),r=!1),i())}).catch(s=>{})};i();const o=this.query.sid?`0{"sid":"${this.query.sid}"}`:"0";this.writer.write(new TextEncoder().encode(o)).then(()=>this.onOpen())})}))}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;VCe(r,o=>{d3e(r,o)&&this.writer.write(Uint8Array.of(54)),this.writer.write(o).then(()=>{i&&LE(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})})}}doClose(){var t;(t=this.transport)===null||t===void 0||t.close()}}const h3e={websocket:c3e,webtransport:f3e,polling:l3e},p3e=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,g3e=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function h5(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=p3e.exec(e||""),o={},s=14;for(;s--;)o[g3e[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=m3e(o,o.path),o.queryKey=y3e(o,o.query),o}function m3e(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function y3e(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let Vz=class Sd extends Hn{constructor(t,n={}){super(),this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=h5(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=h5(n.host).host),YS(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=n3e(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=Dz,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new h3e[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Sd.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;Sd.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",f=>{if(!r)if(f.type==="pong"&&f.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;Sd.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(d(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const p=new Error("probe error");p.transport=n.name,this.emitReserved("upgradeError",p)}}))};function o(){r||(r=!0,d(),n.close(),n=null)}const s=f=>{const p=new Error("probe error: "+f);p.transport=n.name,o(),this.emitReserved("upgradeError",p)};function a(){s("transport closed")}function l(){s("socket closed")}function u(f){n&&f.name!==n.name&&o()}const d=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",Sd.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=JCe(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){Sd.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};Vz.protocol=Dz;function v3e(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=h5(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const _3e=typeof ArrayBuffer=="function",b3e=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,jz=Object.prototype.toString,S3e=typeof Blob=="function"||typeof Blob<"u"&&jz.call(Blob)==="[object BlobConstructor]",w3e=typeof File=="function"||typeof File<"u"&&jz.call(File)==="[object FileConstructor]";function DE(e){return _3e&&(e instanceof ArrayBuffer||b3e(e))||S3e&&e instanceof Blob||w3e&&e instanceof File}function xv(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(xv(e[n]))return!0;return!1}if(DE(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return xv(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&xv(e[n]))return!0;return!1}function x3e(e){const t=[],n=e.data,r=e;return r.data=p5(n,t),r.attachments=t.length,{packet:r,buffers:t}}function p5(e,t){if(!e)return e;if(DE(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=p5(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=p5(e[r],t));return n}return e}function C3e(e,t){return e.data=g5(e.data,t),delete e.attachments,e}function g5(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=g5(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=g5(e[n],t));return e}const T3e=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],E3e=5;var pt;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(pt||(pt={}));class A3e{constructor(t){this.replacer=t}encode(t){return(t.type===pt.EVENT||t.type===pt.ACK)&&xv(t)?this.encodeAsBinary({type:t.type===pt.EVENT?pt.BINARY_EVENT:pt.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===pt.BINARY_EVENT||t.type===pt.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=x3e(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function Ik(e){return Object.prototype.toString.call(e)==="[object Object]"}class $E extends Hn{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===pt.BINARY_EVENT;r||n.type===pt.BINARY_ACK?(n.type=r?pt.EVENT:pt.ACK,this.reconstructor=new P3e(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(DE(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(pt[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===pt.BINARY_EVENT||r.type===pt.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if($E.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case pt.CONNECT:return Ik(n);case pt.DISCONNECT:return n===void 0;case pt.CONNECT_ERROR:return typeof n=="string"||Ik(n);case pt.EVENT:case pt.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&T3e.indexOf(n[0])===-1);case pt.ACK:case pt.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class P3e{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=C3e(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const R3e=Object.freeze(Object.defineProperty({__proto__:null,Decoder:$E,Encoder:A3e,get PacketType(){return pt},protocol:E3e},Symbol.toStringTag,{value:"Module"}));function zo(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const O3e=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class Gz extends Hn{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[zo(t,"open",this.onopen.bind(this)),zo(t,"packet",this.onpacket.bind(this)),zo(t,"error",this.onerror.bind(this)),zo(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(O3e.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:pt.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:pt.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case pt.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case pt.EVENT:case pt.BINARY_EVENT:this.onevent(t);break;case pt.ACK:case pt.BINARY_ACK:this.onack(t);break;case pt.DISCONNECT:this.ondisconnect();break;case pt.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:pt.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:pt.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const n=this._anyOutgoingListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const n=this._anyOutgoingListeners.slice();for(const r of n)r.apply(this,t.data)}}}function Kf(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}Kf.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),n=Math.floor(t*this.jitter*e);e=Math.floor(t*10)&1?e+n:e-n}return Math.min(e,this.max)|0};Kf.prototype.reset=function(){this.attempts=0};Kf.prototype.setMin=function(e){this.ms=e};Kf.prototype.setMax=function(e){this.max=e};Kf.prototype.setJitter=function(e){this.jitter=e};class m5 extends Hn{constructor(t,n){var r;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(n=t,t=void 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r=this.isDragging;if(this.cancel(),!r)return;const{velocity:i}=n;this.startAnimation(i);const{onDragEnd:o}=this.getProps();o&&dn.update(()=>o(t,n))}cancel(){this.isDragging=!1;const{projection:t,animationState:n}=this.visualElement;t&&(t.isAnimationBlocked=!1),this.panSession&&this.panSession.end(),this.panSession=void 0;const{dragPropagation:r}=this.getProps();!r&&this.openGlobalLock&&(this.openGlobalLock(),this.openGlobalLock=null),n&&n.setActive("whileDrag",!1)}updateAxis(t,n,r){const{drag:i}=this.getProps();if(!r||!q0(t,i,this.currentDirection))return;const o=this.getAxisMotionValue(t);let s=this.originPoint[t]+r[t];this.constraints&&this.constraints[t]&&(s=Y6e(s,this.constraints[t],this.elastic[t])),o.set(s)}resolveConstraints(){const{dragConstraints:t,dragElastic:n}=this.getProps(),{layout:r}=this.visualElement.projection||{},i=this.constraints;t&&$d(t)?this.constraints||(this.constraints=this.resolveRefConstraints()):t&&r?this.constraints=Q6e(r.layoutBox,t):this.constraints=!1,this.elastic=tAe(n),i!==this.constraints&&r&&this.constraints&&!this.hasMutatedConstraints&&ps(o=>{this.getAxisMotionValue(o)&&(this.constraints[o]=eAe(r.layoutBox[o],this.constraints[o]))})}resolveRefConstraints(){const{dragConstraints:t,onMeasureDragConstraints:n}=this.getProps();if(!t||!$d(t))return!1;const r=t.current,{projection:i}=this.visualElement;if(!i||!i.layout)return!1;const o=aAe(r,i.root,this.visualElement.getTransformPagePoint());let s=Z6e(i.layout.layoutBox,o);if(n){const a=n(nAe(s));this.hasMutatedConstraints=!!a,a&&(s=xj(a))}return s}startAnimation(t){const{drag:n,dragMomentum:r,dragElastic:i,dragTransition:o,dragSnapToOrigin:s,onDragTransitionEnd:a}=this.getProps(),l=this.constraints||{},u=ps(d=>{if(!q0(d,n,this.currentDirection))return;let f=l&&l[d]||{};s&&(f={min:0,max:0});const p=i?200:1e6,g=i?40:1e7,m={type:"inertia",velocity:r?t[d]:0,bounceStiffness:p,bounceDamping:g,timeConstant:750,restDelta:1,restSpeed:10,...o,...f};return this.startAxisValueAnimation(d,m)});return Promise.all(u).then(a)}startAxisValueAnimation(t,n){const r=this.getAxisMotionValue(t);return r.start(l6(t,r,0,n))}stopAnimation(){ps(t=>this.getAxisMotionValue(t).stop())}getAxisMotionValue(t){const n="_drag"+t.toUpperCase(),r=this.visualElement.getProps(),i=r[n];return i||this.visualElement.getValue(t,(r.initial?r.initial[t]:void 0)||0)}snapToCursor(t){ps(n=>{const{drag:r}=this.getProps();if(!q0(n,r,this.currentDirection))return;const{projection:i}=this.visualElement,o=this.getAxisMotionValue(n);if(i&&i.layout){const{min:s,max:a}=i.layout.layoutBox[n];o.set(t[n]-vn(s,a,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!$d(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};ps(s=>{const a=this.getAxisMotionValue(s);if(a){const l=a.get();i[s]=J6e({min:l,max:l},this.constraints[s])}});const{transformTemplate:o}=this.visualElement.getProps();this.visualElement.current.style.transform=o?o({},""):"none",r.root&&r.root.updateScroll(),r.updateLayout(),this.resolveConstraints(),ps(s=>{if(!q0(s,t,null))return;const a=this.getAxisMotionValue(s),{min:l,max:u}=this.constraints[s];a.set(vn(l,u,i[s]))})}addListeners(){if(!this.visualElement.current)return;lAe.set(this.visualElement,this);const t=this.visualElement.current,n=wa(t,"pointerdown",l=>{const{drag:u,dragListener:d=!0}=this.getProps();u&&d&&this.start(l)}),r=()=>{const{dragConstraints:l}=this.getProps();$d(l)&&(this.constraints=this.resolveRefConstraints())},{projection:i}=this.visualElement,o=i.addEventListener("measure",r);i&&!i.layout&&(i.root&&i.root.updateScroll(),i.updateLayout()),r();const s=ya(window,"resize",()=>this.scalePositionWithinConstraints()),a=i.addEventListener("didUpdate",({delta:l,hasLayoutChanged:u})=>{this.isDragging&&u&&(ps(d=>{const f=this.getAxisMotionValue(d);f&&(this.originPoint[d]+=l[d].translate,f.set(f.get()+l[d].translate))}),this.visualElement.render())});return()=>{s(),n(),o(),a&&a()}}getProps(){const t=this.visualElement.getProps(),{drag:n=!1,dragDirectionLock:r=!1,dragPropagation:i=!1,dragConstraints:o=!1,dragElastic:s=N5,dragMomentum:a=!0}=t;return{...t,drag:n,dragDirectionLock:r,dragPropagation:i,dragConstraints:o,dragElastic:s,dragMomentum:a}}}function q0(e,t,n){return(t===!0||t===e)&&(n===null||n===e)}function cAe(e,t=10){let n=null;return Math.abs(e.y)>t?n="y":Math.abs(e.x)>t&&(n="x"),n}class dAe extends uu{constructor(t){super(t),this.removeGroupControls=Gn,this.removeListeners=Gn,this.controls=new uAe(t)}mount(){const{dragControls:t}=this.node.getProps();t&&(this.removeGroupControls=t.subscribe(this.controls)),this.removeListeners=this.controls.addListeners()||Gn}unmount(){this.removeGroupControls(),this.removeListeners()}}const II=e=>(t,n)=>{e&&dn.update(()=>e(t,n))};class fAe extends uu{constructor(){super(...arguments),this.removePointerDownListener=Gn}onPointerDown(t){this.session=new Sj(t,this.createPanHandlers(),{transformPagePoint:this.node.getTransformPagePoint()})}createPanHandlers(){const{onPanSessionStart:t,onPanStart:n,onPan:r,onPanEnd:i}=this.node.getProps();return{onSessionStart:II(t),onStart:II(n),onMove:r,onEnd:(o,s)=>{delete this.session,i&&dn.update(()=>i(o,s))}}}mount(){this.removePointerDownListener=wa(this.node.current,"pointerdown",t=>this.onPointerDown(t))}update(){this.session&&this.session.updateHandlers(this.createPanHandlers())}unmount(){this.removePointerDownListener(),this.session&&this.session.end()}}function hAe(){const e=L.useContext(Lm);if(e===null)return[!0,null];const{isPresent:t,onExitComplete:n,register:r}=e,i=L.useId();return L.useEffect(()=>r(i),[]),!t&&n?[!1,()=>n&&n(i)]:[!0]}function TMe(){return pAe(L.useContext(Lm))}function pAe(e){return e===null?!0:e.isPresent}const kv={hasAnimatedSinceResize:!0,hasEverUpdated:!1};function MI(e,t){return t.max===t.min?0:e/(t.max-t.min)*100}const op={correct:(e,t)=>{if(!t.target)return e;if(typeof e=="string")if(Be.test(e))e=parseFloat(e);else return e;const n=MI(e,t.target.x),r=MI(e,t.target.y);return`${n}% ${r}%`}},gAe={correct:(e,{treeScale:t,projectionDelta:n})=>{const r=e,i=Xl.parse(e);if(i.length>5)return r;const 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TAe{constructor(){this.members=[]}add(t){u6(this.members,t),t.scheduleRender()}remove(t){if(c6(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function jI(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) `),(t.x!==1||t.y!==1)&&(r+=`scale(${1/t.x}, ${1/t.y}) `),n){const{rotate:l,rotateX:u,rotateY:d}=n;l&&(r+=`rotate(${l}deg) `),u&&(r+=`rotateX(${u}deg) `),d&&(r+=`rotateY(${d}deg) `)}const s=e.x.scale*t.x,a=e.y.scale*t.y;return(s!==1||a!==1)&&(r+=`scale(${s}, ${a})`),r||"none"}const EAe=(e,t)=>e.depth-t.depth;class AAe{constructor(){this.children=[],this.isDirty=!1}add(t){u6(this.children,t),this.isDirty=!0}remove(t){c6(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(EAe),this.isDirty=!1,this.children.forEach(t)}}function PAe(e,t){const n=performance.now(),r=({timestamp:i})=>{const o=i-n;o>=t&&(Ia(r),e(o-t))};return dn.read(r,!0),()=>Ia(r)}function RAe(e){window.MotionDebug&&window.MotionDebug.record(e)}function OAe(e){return e instanceof SVGElement&&e.tagName!=="svg"}function kAe(e,t,n){const r=ki(e)?e:Mf(e);return r.start(l6("",r,t,n)),r.animation}const GI=["","X","Y","Z"],HI=1e3;let IAe=0;const Ou={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function kj({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(s={},a=t==null?void 0:t()){this.id=IAe++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Ou.totalNodes=Ou.resolvedTargetDeltas=Ou.recalculatedProjection=0,this.nodes.forEach(LAe),this.nodes.forEach(UAe),this.nodes.forEach(zAe),this.nodes.forEach(DAe),RAe(Ou)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new AAe)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new d6),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=OAe(s),this.instance=s;const{layoutId:l,layout:u,visualElement:d}=this.options;if(d&&!d.current&&d.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let f;const p=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,f&&f(),f=PAe(p,250),kv.hasAnimatedSinceResize&&(kv.hasAnimatedSinceResize=!1,this.nodes.forEach(qI))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&d&&(l||u)&&this.addEventListener("didUpdate",({delta:f,hasLayoutChanged:p,hasRelativeTargetChanged:g,layout:m})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const v=this.options.transition||d.getDefaultTransition()||WAe,{onLayoutAnimationStart:x,onLayoutAnimationComplete:_}=d.getProps(),b=!this.targetLayout||!$5(this.targetLayout,m)||g,y=!p&&g;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||y||p&&(b||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(f,y);const S={...yj(v,"layout"),onPlay:x,onComplete:_};(d.shouldReduceMotion||this.options.layoutRoot)&&(S.delay=0,S.type=!1),this.startAnimation(S)}else p||qI(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=m})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,Ia(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(VAe),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let d=0;d<this.path.length;d++){const f=this.path[d];f.shouldResetTransform=!0,f.updateScroll("snapshot"),f.options.layoutRoot&&f.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(WI);return}this.isUpdating||this.nodes.forEach(FAe),this.isUpdating=!1,this.nodes.forEach(BAe),this.nodes.forEach(MAe),this.nodes.forEach(NAe),this.clearAllSnapshots();const a=performance.now();zr.delta=Kl(0,1e3/60,a-zr.timestamp),zr.timestamp=a,zr.isProcessing=!0,Yx.update.process(zr),Yx.preRender.process(zr),Yx.render.process(zr),zr.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach($Ae),this.sharedNodes.forEach(jAe)}scheduleUpdateProjection(){dn.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){dn.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=Bn(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!Oj(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,d=u!==this.prevTransformTemplateValue;s&&(a||Ru(this.latestValues)||d)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),qAe(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return Bn();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(fl(a.x,l.offset.x),fl(a.y,l.offset.y)),a}removeElementScroll(s){const a=Bn();fo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:d,options:f}=u;if(u!==this.root&&d&&f.layoutScroll){if(d.isRoot){fo(a,s);const{scroll:p}=this.root;p&&(fl(a.x,-p.offset.x),fl(a.y,-p.offset.y))}fl(a.x,d.offset.x),fl(a.y,d.offset.y)}}return a}applyTransform(s,a=!1){const l=Bn();fo(l,s);for(let u=0;u<this.path.length;u++){const d=this.path[u];!a&&d.options.layoutScroll&&d.scroll&&d!==d.root&&Ud(l,{x:-d.scroll.offset.x,y:-d.scroll.offset.y}),Ru(d.latestValues)&&Ud(l,d.latestValues)}return Ru(this.latestValues)&&Ud(l,this.latestValues),l}removeTransform(s){const a=Bn();fo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!Ru(u.latestValues))continue;L5(u.latestValues)&&u.updateSnapshot();const d=Bn(),f=u.measurePageBox();fo(d,f),UI(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,d)}return Ru(this.latestValues)&&UI(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==zr.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:f,layoutId:p}=this.options;if(!(!this.layout||!(f||p))){if(this.resolvedRelativeTargetAt=zr.timestamp,!this.targetDelta&&!this.relativeTarget){const g=this.getClosestProjectingParent();g&&g.layout&&this.animationProgress!==1?(this.relativeParent=g,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Bn(),this.relativeTargetOrigin=Bn(),Mp(this.relativeTargetOrigin,this.layout.layoutBox,g.layout.layoutBox),fo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=Bn(),this.targetWithTransforms=Bn()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),X6e(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):fo(this.target,this.layout.layoutBox),Tj(this.target,this.targetDelta)):fo(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const g=this.getClosestProjectingParent();g&&!!g.resumingFrom==!!this.resumingFrom&&!g.options.layoutScroll&&g.target&&this.animationProgress!==1?(this.relativeParent=g,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Bn(),this.relativeTargetOrigin=Bn(),Mp(this.relativeTargetOrigin,this.target,g.target),fo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Ou.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||L5(this.parent.latestValues)||Cj(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===zr.timestamp&&(u=!1),u)return;const{layout:d,layoutId:f}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(d||f))return;fo(this.layoutCorrected,this.layout.layoutBox);const p=this.treeScale.x,g=this.treeScale.y;iAe(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:m}=a;if(!m){this.projectionTransform&&(this.projectionDelta=Bd(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=Bd(),this.projectionDeltaWithTransform=Bd());const v=this.projectionTransform;Ip(this.projectionDelta,this.layoutCorrected,m,this.latestValues),this.projectionTransform=jI(this.projectionDelta,this.treeScale),(this.projectionTransform!==v||this.treeScale.x!==p||this.treeScale.y!==g)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",m)),Ou.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},d={...this.latestValues},f=Bd();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const p=Bn(),g=l?l.source:void 0,m=this.layout?this.layout.source:void 0,v=g!==m,x=this.getStack(),_=!x||x.members.length<=1,b=!!(v&&!_&&this.options.crossfade===!0&&!this.path.some(HAe));this.animationProgress=0;let y;this.mixTargetDelta=S=>{const C=S/1e3;KI(f.x,s.x,C),KI(f.y,s.y,C),this.setTargetDelta(f),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Mp(p,this.layout.layoutBox,this.relativeParent.layout.layoutBox),GAe(this.relativeTarget,this.relativeTargetOrigin,p,C),y&&$5(this.relativeTarget,y)&&(this.isProjectionDirty=!1),y||(y=Bn()),fo(y,this.relativeTarget)),v&&(this.animationValues=d,_Ae(d,u,this.latestValues,C,b,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=C},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(Ia(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=dn.update(()=>{kv.hasAnimatedSinceResize=!0,this.currentAnimation=kAe(0,HI,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(HI),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:d}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&Ij(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Bn();const f=Xi(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+f;const p=Xi(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+p}fo(a,l),Ud(a,d),Ip(this.projectionDeltaWithTransform,this.layoutCorrected,a,d)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new TAe),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let d=0;d<GI.length;d++){const f="rotate"+GI[d];l[f]&&(u[f]=l[f],s.setStaticValue(f,0))}s.render();for(const d in u)s.setStaticValue(d,u[d]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const d=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=Ov(s.pointerEvents)||"",u.transform=d?d(this.latestValues,""):"none",u;const f=this.getLead();if(!this.projectionDelta||!this.layout||!f.target){const v={};return this.options.layoutId&&(v.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,v.pointerEvents=Ov(s.pointerEvents)||""),this.hasProjected&&!Ru(this.latestValues)&&(v.transform=d?d({},""):"none",this.hasProjected=!1),v}const p=f.animationValues||f.latestValues;this.applyTransformsToTarget(),u.transform=jI(this.projectionDeltaWithTransform,this.treeScale,p),d&&(u.transform=d(p,u.transform));const{x:g,y:m}=this.projectionDelta;u.transformOrigin=`${g.origin*100}% ${m.origin*100}% 0`,f.animationValues?u.opacity=f===this?(l=(a=p.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:p.opacityExit:u.opacity=f===this?p.opacity!==void 0?p.opacity:"":p.opacityExit!==void 0?p.opacityExit:0;for(const v in l_){if(p[v]===void 0)continue;const{correct:x,applyTo:_}=l_[v],b=u.transform==="none"?p[v]:x(p[v],f);if(_){const y=_.length;for(let S=0;S<y;S++)u[_[S]]=b}else u[v]=b}return this.options.layoutId&&(u.pointerEvents=f===this?Ov(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(WI),this.root.sharedNodes.clear()}}}function MAe(e){e.updateLayout()}function NAe(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?ps(f=>{const p=s?n.measuredBox[f]:n.layoutBox[f],g=Xi(p);p.min=r[f].min,p.max=p.min+g}):Ij(o,n.layoutBox,r)&&ps(f=>{const p=s?n.measuredBox[f]:n.layoutBox[f],g=Xi(r[f]);p.max=p.min+g,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[f].max=e.relativeTarget[f].min+g)});const a=Bd();Ip(a,r,n.layoutBox);const l=Bd();s?Ip(l,e.applyTransform(i,!0),n.measuredBox):Ip(l,r,n.layoutBox);const u=!Oj(a);let d=!1;if(!e.resumeFrom){const f=e.getClosestProjectingParent();if(f&&!f.resumeFrom){const{snapshot:p,layout:g}=f;if(p&&g){const m=Bn();Mp(m,n.layoutBox,p.layoutBox);const v=Bn();Mp(v,r,g.layoutBox),$5(m,v)||(d=!0),f.options.layoutRoot&&(e.relativeTarget=v,e.relativeTargetOrigin=m,e.relativeParent=f)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:d})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function 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Nf={width:({x:e},{paddingLeft:t="0",paddingRight:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),height:({y:e},{paddingTop:t="0",paddingBottom:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),top:(e,{top:t})=>parseFloat(t),left:(e,{left:t})=>parseFloat(t),bottom:({y:e},{top:t})=>parseFloat(t)+(e.max-e.min),right:({x:e},{left:t})=>parseFloat(t)+(e.max-e.min),x:JI(4,13),y:JI(5,14)};Nf.translateX=Nf.x;Nf.translateY=Nf.y;const iPe=(e,t,n)=>{const r=t.measureViewportBox(),i=t.current,o=getComputedStyle(i),{display:s}=o,a={};s==="none"&&t.setStaticValue("display",e.display||"block"),n.forEach(u=>{a[u]=Nf[u](r,o)}),t.render();const l=t.measureViewportBox();return n.forEach(u=>{const d=t.getValue(u);d&&d.jump(a[u]),e[u]=Nf[u](l,o)}),e},oPe=(e,t,n={},r={})=>{t={...t},r={...r};const i=Object.keys(t).filter(Nj);let o=[],s=!1;const a=[];if(i.forEach(l=>{const u=e.getValue(l);if(!e.hasValue(l))return;let d=n[l],f=ip(d);const p=t[l];let g;if(c_(p)){const 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Map,this.features={},this.valueSubscriptions=new Map,this.prevMotionValues={},this.events={},this.propEventSubscriptions={},this.notifyUpdate=()=>this.notify("Update",this.latestValues),this.render=()=>{this.current&&(this.triggerBuild(),this.renderInstance(this.current,this.renderState,this.props.style,this.projection))},this.scheduleRender=()=>dn.render(this.render,!1,!0);const{latestValues:a,renderState:l}=o;this.latestValues=a,this.baseTarget={...a},this.initialValues=n.initial?{...a}:{},this.renderState=l,this.parent=t,this.props=n,this.presenceContext=r,this.depth=t?t.depth+1:0,this.reducedMotionConfig=i,this.options=s,this.isControllingVariants=o2(n),this.isVariantNode=SV(n),this.isVariantNode&&(this.variantChildren=new Set),this.manuallyAnimateOnMount=!!(t&&t.current);const{willChange:u,...d}=this.scrapeMotionValuesFromProps(n,{});for(const f in d){const p=d[f];a[f]!==void 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this.features)this.features[t].unmount();this.current=null}bindToMotionValue(t,n){const r=Rc.has(t),i=n.on("change",s=>{this.latestValues[t]=s,this.props.onUpdate&&dn.update(this.notifyUpdate,!1,!0),r&&this.projection&&(this.projection.isTransformDirty=!0)}),o=n.on("renderRequest",this.scheduleRender);this.valueSubscriptions.set(t,()=>{i(),o()})}sortNodePosition(t){return!this.current||!this.sortInstanceNodePosition||this.type!==t.type?0:this.sortInstanceNodePosition(this.current,t.current)}loadFeatures({children:t,...n},r,i,o){let s,a;for(let l=0;l<cPe;l++){const u=Dj[l],{isEnabled:d,Feature:f,ProjectionNode:p,MeasureLayout:g}=Vg[u];p&&(s=p),d(n)&&(!this.features[u]&&f&&(this.features[u]=new f(this)),g&&(a=g))}if(!this.projection&&s){this.projection=new 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this.makeTargetAnimatableFromInstance(t,this.props,n)}update(t,n){(t.transformTemplate||this.props.transformTemplate)&&this.scheduleRender(),this.prevProps=this.props,this.props=t,this.prevPresenceContext=this.presenceContext,this.presenceContext=n;for(let r=0;r<t7.length;r++){const i=t7[r];this.propEventSubscriptions[i]&&(this.propEventSubscriptions[i](),delete this.propEventSubscriptions[i]);const o=t["on"+i];o&&(this.propEventSubscriptions[i]=this.on(i,o))}this.prevMotionValues=uPe(this,this.scrapeMotionValuesFromProps(t,this.prevProps),this.prevMotionValues),this.handleChildMotionValue&&this.handleChildMotionValue()}getProps(){return this.props}getVariant(t){return this.props.variants?this.props.variants[t]:void 0}getDefaultTransition(){return this.props.transition}getTransformPagePoint(){return this.props.transformPagePoint}getClosestVariantNode(){return this.isVariantNode?this:this.parent?this.parent.getClosestVariantNode():void 0}getVariantContext(t=!1){if(t)return 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Use ""'+l+'" instead.')}o.prototype[a]=p,o.prototype[d]=p,o.prototype[f]=p})},afterSetFilter(){this._filterUpToDate=!1}}})(nt);var Qo={},ba={};Object.defineProperty(ba,"__esModule",{value:!0});ba.HitContext=ba.SceneContext=ba.Context=void 0;const qU=Sn,wSe=rt;function xSe(e){var t=[],n=e.length,r=qU.Util,i,o;for(i=0;i<n;i++)o=e[i],r._isNumber(o)?o=Math.round(o*1e3)/1e3:r._isString(o)||(o=o+""),t.push(o);return t}var zO=",",CSe="(",TSe=")",ESe="([",ASe="])",PSe=";",RSe="()",OSe="=",VO=["arc","arcTo","beginPath","bezierCurveTo","clearRect","clip","closePath","createLinearGradient","createPattern","createRadialGradient","drawImage","ellipse","fill","fillText","getImageData","createImageData","lineTo","moveTo","putImageData","quadraticCurveTo","rect","restore","rotate","save","scale","setLineDash","setTransform","stroke","strokeText","transform","translate"],kSe=["fillStyle","strokeStyle","shadowColor","shadowBlur","shadowOffsetX","shadowOffsetY","lineCap","lineDashOffset","lineJoin","lineWidth","miterLimit","font","textAlign","textBaseline","globalAlpha","globalCompositeOperation","imageSmoothingEnabled"];const ISe=100;class iS{constructor(t){this.canvas=t,wSe.Konva.enableTrace&&(this.traceArr=[],this._enableTrace())}fillShape(t){t.fillEnabled()&&this._fill(t)}_fill(t){}strokeShape(t){t.hasStroke()&&this._stroke(t)}_stroke(t){}fillStrokeShape(t){t.attrs.fillAfterStrokeEnabled?(this.strokeShape(t),this.fillShape(t)):(this.fillShape(t),this.strokeShape(t))}getTrace(t,n){var r=this.traceArr,i=r.length,o="",s,a,l,u;for(s=0;s<i;s++)a=r[s],l=a.method,l?(u=a.args,o+=l,t?o+=RSe:qU.Util._isArray(u[0])?o+=ESe+u.join(zO)+ASe:(n&&(u=u.map(d=>typeof d=="number"?Math.floor(d):d)),o+=CSe+u.join(zO)+TSe)):(o+=a.property,t||(o+=OSe+a.val)),o+=PSe;return o}clearTrace(){this.traceArr=[]}_trace(t){var n=this.traceArr,r;n.push(t),r=n.length,r>=ISe&&n.shift()}reset(){var t=this.getCanvas().getPixelRatio();this.setTransform(1*t,0,0,1*t,0,0)}getCanvas(){return this.canvas}clear(t){var n=this.getCanvas();t?this.clearRect(t.x||0,t.y||0,t.width||0,t.height||0):this.clearRect(0,0,n.getWidth()/n.pixelRatio,n.getHeight()/n.pixelRatio)}_applyLineCap(t){const n=t.attrs.lineCap;n&&this.setAttr("lineCap",n)}_applyOpacity(t){var n=t.getAbsoluteOpacity();n!==1&&this.setAttr("globalAlpha",n)}_applyLineJoin(t){const n=t.attrs.lineJoin;n&&this.setAttr("lineJoin",n)}setAttr(t,n){this._context[t]=n}arc(t,n,r,i,o,s){this._context.arc(t,n,r,i,o,s)}arcTo(t,n,r,i,o){this._context.arcTo(t,n,r,i,o)}beginPath(){this._context.beginPath()}bezierCurveTo(t,n,r,i,o,s){this._context.bezierCurveTo(t,n,r,i,o,s)}clearRect(t,n,r,i){this._context.clearRect(t,n,r,i)}clip(...t){this._context.clip.apply(this._context,t)}closePath(){this._context.closePath()}createImageData(t,n){var r=arguments;if(r.length===2)return this._context.createImageData(t,n);if(r.length===1)return this._context.createImageData(t)}createLinearGradient(t,n,r,i){return this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,s){return this._context.createRadialGradient(t,n,r,i,o,s)}drawImage(t,n,r,i,o,s,a,l,u){var d=arguments,f=this._context;d.length===3?f.drawImage(t,n,r):d.length===5?f.drawImage(t,n,r,i,o):d.length===9&&f.drawImage(t,n,r,i,o,s,a,l,u)}ellipse(t,n,r,i,o,s,a,l){this._context.ellipse(t,n,r,i,o,s,a,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return this._context.getImageData(t,n,r,i)}lineTo(t,n){this._context.lineTo(t,n)}moveTo(t,n){this._context.moveTo(t,n)}rect(t,n,r,i){this._context.rect(t,n,r,i)}putImageData(t,n,r){this._context.putImageData(t,n,r)}quadraticCurveTo(t,n,r,i){this._context.quadraticCurveTo(t,n,r,i)}restore(){this._context.restore()}rotate(t){this._context.rotate(t)}save(){this._context.save()}scale(t,n){this._context.scale(t,n)}setLineDash(t){this._context.setLineDash?this._context.setLineDash(t):"mozDash"in this._context?this._context.mozDash=t:"webkitLineDash"in this._context&&(this._context.webkitLineDash=t)}getLineDash(){return this._context.getLineDash()}setTransform(t,n,r,i,o,s){this._context.setTransform(t,n,r,i,o,s)}stroke(t){t?this._context.stroke(t):this._context.stroke()}strokeText(t,n,r,i){this._context.strokeText(t,n,r,i)}transform(t,n,r,i,o,s){this._context.transform(t,n,r,i,o,s)}translate(t,n){this._context.translate(t,n)}_enableTrace(){var t=this,n=VO.length,r=this.setAttr,i,o,s=function(a){var l=t[a],u;t[a]=function(){return o=xSe(Array.prototype.slice.call(arguments,0)),u=l.apply(t,arguments),t._trace({method:a,args:o}),u}};for(i=0;i<n;i++)s(VO[i]);t.setAttr=function(){r.apply(t,arguments);var a=arguments[0],l=arguments[1];(a==="shadowOffsetX"||a==="shadowOffsetY"||a==="shadowBlur")&&(l=l/this.canvas.getPixelRatio()),t._trace({property:a,val:l})}}_applyGlobalCompositeOperation(t){const n=t.attrs.globalCompositeOperation;var r=!n||n==="source-over";r||this.setAttr("globalCompositeOperation",n)}}ba.Context=iS;kSe.forEach(function(e){Object.defineProperty(iS.prototype,e,{get(){return this._context[e]},set(t){this._context[e]=t}})});class MSe extends iS{constructor(t,{willReadFrequently:n=!1}={}){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:n})}_fillColor(t){var n=t.fill();this.setAttr("fillStyle",n),t._fillFunc(this)}_fillPattern(t){this.setAttr("fillStyle",t._getFillPattern()),t._fillFunc(this)}_fillLinearGradient(t){var n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",s=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,a=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),d=l.x*u,f=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",s*Math.min(Math.abs(d),Math.abs(f))),this.setAttr("shadowOffsetX",a.x*d),this.setAttr("shadowOffsetY",a.y*f)}}ba.SceneContext=MSe;class NSe extends iS{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}ba.HitContext=NSe;Object.defineProperty(Qo,"__esModule",{value:!0});Qo.HitCanvas=Qo.SceneCanvas=Qo.Canvas=void 0;const J1=Sn,KU=ba,XU=rt,LSe=nt,DSe=ke;var M0;function $Se(){if(M0)return M0;var e=J1.Util.createCanvasElement(),t=e.getContext("2d");return M0=function(){var n=XU.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),J1.Util.releaseCanvas(e),M0}class oS{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||XU.Konva.pixelRatio||$Se();this.pixelRatio=r,this._canvas=J1.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return J1.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}Qo.Canvas=oS;LSe.Factory.addGetterSetter(oS,"pixelRatio",void 0,(0,DSe.getNumberValidator)());class FSe extends oS{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new KU.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}Qo.SceneCanvas=FSe;class BSe extends oS{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new KU.HitContext(this),this.setSize(t.width,t.height)}}Qo.HitCanvas=BSe;var sS={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=rt,n=Sn;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(p=>p.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var d=a.dragDistance(),f=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(f<d||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(d=>d.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(sS);Object.defineProperty(fn,"__esModule",{value:!0});fn.Node=void 0;const ct=Sn,Am=nt,N0=Qo,wu=rt,uo=sS,Ln=ke;var _v="absoluteOpacity",L0="allEventListeners",la="absoluteTransform",jO="absoluteScale",xu="canvas",USe="Change",zSe="children",VSe="konva",o5="listening",GO="mouseenter",HO="mouseleave",WO="set",qO="Shape",bv=" ",KO="stage",sl="transform",jSe="Stage",s5="visible",GSe=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(bv);let HSe=1;class ze{constructor(t){this._id=HSe++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===sl||t===la)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===sl||t===la,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(bv);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(xu)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===la&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(xu)){const{scene:t,filter:n,hit:r}=this._cache.get(xu);ct.Util.releaseCanvas(t,n,r),this._cache.delete(xu)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,d=n.drawBorder||!1,f=n.hitCanvasPixelRatio||1;if(!i||!o){ct.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var p=new N0.SceneCanvas({pixelRatio:s,width:i,height:o}),g=new N0.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),m=new N0.HitCanvas({pixelRatio:f,width:i,height:o}),v=p.getContext(),x=m.getContext();return m.isCache=!0,p.isCache=!0,this._cache.delete(xu),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(p.getContext()._context.imageSmoothingEnabled=!1,g.getContext()._context.imageSmoothingEnabled=!1),v.save(),x.save(),v.translate(-a,-l),x.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(_v),this._clearSelfAndDescendantCache(jO),this.drawScene(p,this),this.drawHit(m,this),this._isUnderCache=!1,v.restore(),x.restore(),d&&(v.save(),v.beginPath(),v.rect(0,0,i,o),v.closePath(),v.setAttr("strokeStyle","red"),v.setAttr("lineWidth",5),v.stroke(),v.restore()),this._cache.set(xu,{scene:p,filter:g,hit:m,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(xu)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var d=l.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var d=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/d,r.getHeight()/d),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){ct.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(f){ct.Util.error("Unable to apply filter. "+f.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(L0),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(bv),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(bv),i=r.length,o,s,a,l,u,d;if(this._cache&&this._cache.delete(L0),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],d=l[1],u)this.eventListeners[u]&&this._off(u,d,n);else for(s in this.eventListeners)this._off(s,d,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=ct.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),uo.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(la),this._clearSelfAndDescendantCache(_v),this._clearSelfAndDescendantCache(jO),this._clearSelfAndDescendantCache(KO),this._clearSelfAndDescendantCache(s5),this._clearSelfAndDescendantCache(o5)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+ct.Util._capitalize(t);return ct.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==zSe&&(r=WO+ct.Util._capitalize(n),ct.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(o5,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(s5,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;uo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!wu.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==qO&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==jSe&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(sl),this._clearSelfAndDescendantCache(la)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new ct.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(sl);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(sl),this._clearSelfAndDescendantCache(la),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return ct.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return ct.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return ct.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return ct.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return ct.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&ct.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(_v,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=ct.Util.isObject(i)&&!ct.Util._isPlainObject(i)&&!ct.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),ct.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],ct.Util.isValidSelector(o)||(ct.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),ct.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),ct.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(KO,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(la,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new ct.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(la)||new ct.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(sl,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(sl)||new ct.Transform;r.reset();var i=this.x(),o=this.y(),s=wu.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,d=this.attrs.skewY||0,f=this.attrs.offsetX||0,p=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||d!==0)&&r.skew(u,d),(a!==1||l!==1)&&r.scale(a,l),(f!==0||p!==0)&&r.translate(-1*f,-1*p),r.dirty=!1,r}clone(t){var n=ct.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(VSe)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new N0.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,ct.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():wu.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+USe,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[WO+ct.Util._capitalize(t)];return ct.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(wu.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!ct.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===qO&&(n.target=this);var i=(t===GO||t===HO)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===GO||t===HO)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(L0))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(L0,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;uo.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){uo.DD._dragElements.has(this._id)||this._createDragElement(t);const r=uo.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:ct.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=uo.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),uo.DD._endDragBefore(t),uo.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=uo.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||wu.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;uo.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=uo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&uo.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return ct.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return ct.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=ze.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),wu.Konva[r]||(ct.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=wu.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(ze._createNode(i[a]));return o}}fn.Node=ze;ze.prototype.nodeType="Node";ze.prototype._attrsAffectingSize=[];ze.prototype.eventListeners={};ze.prototype.on.call(ze.prototype,GSe,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(sl),this._clearSelfAndDescendantCache(la)});ze.prototype.on.call(ze.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(s5)});ze.prototype.on.call(ze.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(o5)});ze.prototype.on.call(ze.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(_v)});const Kt=Am.Factory.addGetterSetter;Kt(ze,"zIndex");Kt(ze,"absolutePosition");Kt(ze,"position");Kt(ze,"x",0,(0,Ln.getNumberValidator)());Kt(ze,"y",0,(0,Ln.getNumberValidator)());Kt(ze,"globalCompositeOperation","source-over",(0,Ln.getStringValidator)());Kt(ze,"opacity",1,(0,Ln.getNumberValidator)());Kt(ze,"name","",(0,Ln.getStringValidator)());Kt(ze,"id","",(0,Ln.getStringValidator)());Kt(ze,"rotation",0,(0,Ln.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"scale",["x","y"]);Kt(ze,"scaleX",1,(0,Ln.getNumberValidator)());Kt(ze,"scaleY",1,(0,Ln.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"skew",["x","y"]);Kt(ze,"skewX",0,(0,Ln.getNumberValidator)());Kt(ze,"skewY",0,(0,Ln.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"offset",["x","y"]);Kt(ze,"offsetX",0,(0,Ln.getNumberValidator)());Kt(ze,"offsetY",0,(0,Ln.getNumberValidator)());Kt(ze,"dragDistance",null,(0,Ln.getNumberValidator)());Kt(ze,"width",0,(0,Ln.getNumberValidator)());Kt(ze,"height",0,(0,Ln.getNumberValidator)());Kt(ze,"listening",!0,(0,Ln.getBooleanValidator)());Kt(ze,"preventDefault",!0,(0,Ln.getBooleanValidator)());Kt(ze,"filters",null,function(e){return this._filterUpToDate=!1,e});Kt(ze,"visible",!0,(0,Ln.getBooleanValidator)());Kt(ze,"transformsEnabled","all",(0,Ln.getStringValidator)());Kt(ze,"size");Kt(ze,"dragBoundFunc");Kt(ze,"draggable",!1,(0,Ln.getBooleanValidator)());Am.Factory.backCompat(ze,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var vc={};Object.defineProperty(vc,"__esModule",{value:!0});vc.Container=void 0;const zf=nt,Lx=fn,aS=ke;class _c extends Lx.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=Lx.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=Lx.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const d=r===this;if(u){o.save();var f=this.getAbsoluteTransform(r),p=f.getMatrix();o.transform(p[0],p[1],p[2],p[3],p[4],p[5]),o.beginPath();let x;if(l)x=l.call(this,o,this);else{var g=this.clipX(),m=this.clipY();o.rect(g,m,s,a)}o.clip.apply(o,x),p=f.copy().invert().getMatrix(),o.transform(p[0],p[1],p[2],p[3],p[4],p[5])}var v=!d&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";v&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(x){x[t](n,r)}),v&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},d=this;(n=this.children)===null||n===void 0||n.forEach(function(v){if(v.visible()){var x=v.getClientRect({relativeTo:d,skipShadow:t.skipShadow,skipStroke:t.skipStroke});x.width===0&&x.height===0||(o===void 0?(o=x.x,s=x.y,a=x.x+x.width,l=x.y+x.height):(o=Math.min(o,x.x),s=Math.min(s,x.y),a=Math.max(a,x.x+x.width),l=Math.max(l,x.y+x.height)))}});for(var f=this.find("Shape"),p=!1,g=0;g<f.length;g++){var m=f[g];if(m._isVisible(this)){p=!0;break}}return p&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}vc.Container=_c;zf.Factory.addComponentsGetterSetter(_c,"clip",["x","y","width","height"]);zf.Factory.addGetterSetter(_c,"clipX",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipY",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipWidth",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipHeight",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipFunc");var YU={},Vi={};Object.defineProperty(Vi,"__esModule",{value:!0});Vi.releaseCapture=Vi.setPointerCapture=Vi.hasPointerCapture=Vi.createEvent=Vi.getCapturedShape=void 0;const WSe=rt,Lg=new Map,QU=WSe.Konva._global.PointerEvent!==void 0;function qSe(e){return Lg.get(e)}Vi.getCapturedShape=qSe;function _E(e){return{evt:e,pointerId:e.pointerId}}Vi.createEvent=_E;function KSe(e,t){return Lg.get(e)===t}Vi.hasPointerCapture=KSe;function XSe(e,t){ZU(e),t.getStage()&&(Lg.set(e,t),QU&&t._fire("gotpointercapture",_E(new PointerEvent("gotpointercapture"))))}Vi.setPointerCapture=XSe;function ZU(e,t){const n=Lg.get(e);if(!n)return;const r=n.getStage();r&&r.content,Lg.delete(e),QU&&n._fire("lostpointercapture",_E(new PointerEvent("lostpointercapture")))}Vi.releaseCapture=ZU;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=Sn,n=nt,r=vc,i=rt,o=Qo,s=sS,a=rt,l=Vi;var u="Stage",d="string",f="px",p="mouseout",g="mouseleave",m="mouseover",v="mouseenter",x="mousemove",_="mousedown",b="mouseup",y="pointermove",S="pointerdown",C="pointerup",T="pointercancel",E="lostpointercapture",P="pointerout",k="pointerleave",O="pointerover",M="pointerenter",G="contextmenu",U="touchstart",A="touchend",N="touchmove",F="touchcancel",B="wheel",D=5,V=[[v,"_pointerenter"],[_,"_pointerdown"],[x,"_pointermove"],[b,"_pointerup"],[g,"_pointerleave"],[U,"_pointerdown"],[N,"_pointermove"],[A,"_pointerup"],[F,"_pointercancel"],[m,"_pointerover"],[B,"_wheel"],[G,"_contextmenu"],[S,"_pointerdown"],[y,"_pointermove"],[C,"_pointerup"],[T,"_pointercancel"],[E,"_lostpointercapture"]];const j={mouse:{[P]:p,[k]:g,[O]:m,[M]:v,[y]:x,[S]:_,[C]:b,[T]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[P]:"touchout",[k]:"touchleave",[O]:"touchover",[M]:"touchenter",[y]:N,[S]:U,[C]:A,[T]:F,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[P]:P,[k]:k,[O]:O,[M]:M,[y]:y,[S]:S,[C]:C,[T]:T,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},q=le=>le.indexOf("pointer")>=0?"pointer":le.indexOf("touch")>=0?"touch":"mouse",Z=le=>{const W=q(le);if(W==="pointer")return i.Konva.pointerEventsEnabled&&j.pointer;if(W==="touch")return j.touch;if(W==="mouse")return j.mouse};function ee(le={}){return(le.clipFunc||le.clipWidth||le.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),le}const ie="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class se extends r.Container{constructor(W){super(ee(W)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{ee(this.attrs)}),this._checkVisibility()}_validateAdd(W){const ne=W.getType()==="Layer",fe=W.getType()==="FastLayer";ne||fe||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const W=this.visible()?"":"none";this.content.style.display=W}setContainer(W){if(typeof W===d){if(W.charAt(0)==="."){var ne=W.slice(1);W=document.getElementsByClassName(ne)[0]}else{var fe;W.charAt(0)!=="#"?fe=W:fe=W.slice(1),W=document.getElementById(fe)}if(!W)throw"Can not find container in document with id "+fe}return this._setAttr("container",W),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),W.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var W=this.children,ne=W.length,fe;for(fe=0;fe<ne;fe++)W[fe].clear();return this}clone(W){return W||(W={}),W.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,W)}destroy(){super.destroy();var W=this.content;W&&t.Util._isInDocument(W)&&this.container().removeChild(W);var ne=e.stages.indexOf(this);return ne>-1&&e.stages.splice(ne,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const W=this._pointerPositions[0]||this._changedPointerPositions[0];return W?{x:W.x,y:W.y}:(t.Util.warn(ie),null)}_getPointerById(W){return this._pointerPositions.find(ne=>ne.id===W)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(W){W=W||{},W.x=W.x||0,W.y=W.y||0,W.width=W.width||this.width(),W.height=W.height||this.height();var ne=new o.SceneCanvas({width:W.width,height:W.height,pixelRatio:W.pixelRatio||1}),fe=ne.getContext()._context,pe=this.children;return(W.x||W.y)&&fe.translate(-1*W.x,-1*W.y),pe.forEach(function(ve){if(ve.isVisible()){var ye=ve._toKonvaCanvas(W);fe.drawImage(ye._canvas,W.x,W.y,ye.getWidth()/ye.getPixelRatio(),ye.getHeight()/ye.getPixelRatio())}}),ne}getIntersection(W){if(!W)return null;var ne=this.children,fe=ne.length,pe=fe-1,ve;for(ve=pe;ve>=0;ve--){const ye=ne[ve].getIntersection(W);if(ye)return ye}return null}_resizeDOM(){var W=this.width(),ne=this.height();this.content&&(this.content.style.width=W+f,this.content.style.height=ne+f),this.bufferCanvas.setSize(W,ne),this.bufferHitCanvas.setSize(W,ne),this.children.forEach(fe=>{fe.setSize({width:W,height:ne}),fe.draw()})}add(W,...ne){if(arguments.length>1){for(var fe=0;fe<arguments.length;fe++)this.add(arguments[fe]);return this}super.add(W);var pe=this.children.length;return pe>D&&t.Util.warn("The stage has "+pe+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),W.setSize({width:this.width(),height:this.height()}),W.draw(),i.Konva.isBrowser&&this.content.appendChild(W.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(W){return l.hasPointerCapture(W,this)}setPointerCapture(W){l.setPointerCapture(W,this)}releaseCapture(W){l.releaseCapture(W,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&V.forEach(([W,ne])=>{this.content.addEventListener(W,fe=>{this[ne](fe)},{passive:!1})})}_pointerenter(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerenter,{evt:W,target:this,currentTarget:this})}_pointerover(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this})}_getTargetShape(W){let ne=this[W+"targetShape"];return ne&&!ne.getStage()&&(ne=null),ne}_pointerleave(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=this._getTargetShape(fe),ve=!s.DD.isDragging||i.Konva.hitOnDragEnabled;pe&&ve?(pe._fireAndBubble(ne.pointerout,{evt:W}),pe._fireAndBubble(ne.pointerleave,{evt:W}),this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this[fe+"targetShape"]=null):ve&&(this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this._fire(ne.pointerout,{evt:W,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=!1;this._changedPointerPositions.forEach(ve=>{var ye=this.getIntersection(ve);if(s.DD.justDragged=!1,i.Konva["_"+fe+"ListenClick"]=!0,!(ye&&ye.isListening()))return;i.Konva.capturePointerEventsEnabled&&ye.setPointerCapture(ve.id),this[fe+"ClickStartShape"]=ye,ye._fireAndBubble(ne.pointerdown,{evt:W,pointerId:ve.id}),pe=!0;const Me=W.type.indexOf("touch")>=0;ye.preventDefault()&&W.cancelable&&Me&&W.preventDefault()}),pe||this._fire(ne.pointerdown,{evt:W,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;s.DD.isDragging&&s.DD.node.preventDefault()&&W.cancelable&&W.preventDefault(),this.setPointersPositions(W);var pe=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!pe)return;var ve={};let ye=!1;var We=this._getTargetShape(fe);this._changedPointerPositions.forEach(Me=>{const Ee=l.getCapturedShape(Me.id)||this.getIntersection(Me),lt=Me.id,_e={evt:W,pointerId:lt};var jt=We!==Ee;if(jt&&We&&(We._fireAndBubble(ne.pointerout,Object.assign({},_e),Ee),We._fireAndBubble(ne.pointerleave,Object.assign({},_e),Ee)),Ee){if(ve[Ee._id])return;ve[Ee._id]=!0}Ee&&Ee.isListening()?(ye=!0,jt&&(Ee._fireAndBubble(ne.pointerover,Object.assign({},_e),We),Ee._fireAndBubble(ne.pointerenter,Object.assign({},_e),We),this[fe+"targetShape"]=Ee),Ee._fireAndBubble(ne.pointermove,Object.assign({},_e))):We&&(this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this,pointerId:lt}),this[fe+"targetShape"]=null)}),ye||this._fire(ne.pointermove,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;this.setPointersPositions(W);const pe=this[fe+"ClickStartShape"],ve=this[fe+"ClickEndShape"];var ye={};let We=!1;this._changedPointerPositions.forEach(Me=>{const Ee=l.getCapturedShape(Me.id)||this.getIntersection(Me);if(Ee){if(Ee.releaseCapture(Me.id),ye[Ee._id])return;ye[Ee._id]=!0}const lt=Me.id,_e={evt:W,pointerId:lt};let jt=!1;i.Konva["_"+fe+"InDblClickWindow"]?(jt=!0,clearTimeout(this[fe+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+fe+"InDblClickWindow"]=!0,clearTimeout(this[fe+"DblTimeout"])),this[fe+"DblTimeout"]=setTimeout(function(){i.Konva["_"+fe+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),Ee&&Ee.isListening()?(We=!0,this[fe+"ClickEndShape"]=Ee,Ee._fireAndBubble(ne.pointerup,Object.assign({},_e)),i.Konva["_"+fe+"ListenClick"]&&pe&&pe===Ee&&(Ee._fireAndBubble(ne.pointerclick,Object.assign({},_e)),jt&&ve&&ve===Ee&&Ee._fireAndBubble(ne.pointerdblclick,Object.assign({},_e)))):(this[fe+"ClickEndShape"]=null,i.Konva["_"+fe+"ListenClick"]&&this._fire(ne.pointerclick,{evt:W,target:this,currentTarget:this,pointerId:lt}),jt&&this._fire(ne.pointerdblclick,{evt:W,target:this,currentTarget:this,pointerId:lt}))}),We||this._fire(ne.pointerup,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+fe+"ListenClick"]=!1,W.cancelable&&fe!=="touch"&&W.preventDefault()}_contextmenu(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(G,{evt:W}):this._fire(G,{evt:W,target:this,currentTarget:this})}_wheel(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(B,{evt:W}):this._fire(B,{evt:W,target:this,currentTarget:this})}_pointercancel(W){this.setPointersPositions(W);const ne=l.getCapturedShape(W.pointerId)||this.getIntersection(this.getPointerPosition());ne&&ne._fireAndBubble(C,l.createEvent(W)),l.releaseCapture(W.pointerId)}_lostpointercapture(W){l.releaseCapture(W.pointerId)}setPointersPositions(W){var ne=this._getContentPosition(),fe=null,pe=null;W=W||window.event,W.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(W.touches,ve=>{this._pointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})}),Array.prototype.forEach.call(W.changedTouches||W.touches,ve=>{this._changedPointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})})):(fe=(W.clientX-ne.left)/ne.scaleX,pe=(W.clientY-ne.top)/ne.scaleY,this.pointerPos={x:fe,y:pe},this._pointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}],this._changedPointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}])}_setPointerPosition(W){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(W)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var W=this.content.getBoundingClientRect();return{top:W.top,left:W.left,scaleX:W.width/this.content.clientWidth||1,scaleY:W.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var W=this.container();if(!W)throw"Stage has no container. A container is required.";W.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),W.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(W){W.batchDraw()}),this}}e.Stage=se,se.prototype.nodeType=u,(0,a._registerNode)(se),n.Factory.addGetterSetter(se,"container")})(YU);var Pm={},rr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=rt,n=Sn,r=nt,i=fn,o=ke,s=rt,a=Vi;var l="hasShadow",u="shadowRGBA",d="patternImage",f="linearGradient",p="radialGradient";let g;function m(){return g||(g=n.Util.createCanvasElement().getContext("2d"),g)}e.shapes={};function v(k){const O=this.attrs.fillRule;O?k.fill(O):k.fill()}function x(k){k.stroke()}function _(k){k.fill()}function b(k){k.stroke()}function y(){this._clearCache(l)}function S(){this._clearCache(u)}function C(){this._clearCache(d)}function T(){this._clearCache(f)}function E(){this._clearCache(p)}class P extends i.Node{constructor(O){super(O);let M;for(;M=n.Util.getRandomColor(),!(M&&!(M in e.shapes)););this.colorKey=M,e.shapes[M]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(d,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var O=m();const M=O.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(M&&M.setTransform){const G=new n.Transform;G.translate(this.fillPatternX(),this.fillPatternY()),G.rotate(t.Konva.getAngle(this.fillPatternRotation())),G.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),G.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const U=G.getMatrix(),A=typeof DOMMatrix>"u"?{a:U[0],b:U[1],c:U[2],d:U[3],e:U[4],f:U[5]}:new DOMMatrix(U);M.setTransform(A)}return M}}_getLinearGradient(){return this._getCache(f,this.__getLinearGradient)}__getLinearGradient(){var O=this.fillLinearGradientColorStops();if(O){for(var M=m(),G=this.fillLinearGradientStartPoint(),U=this.fillLinearGradientEndPoint(),A=M.createLinearGradient(G.x,G.y,U.x,U.y),N=0;N<O.length;N+=2)A.addColorStop(O[N],O[N+1]);return A}}_getRadialGradient(){return this._getCache(p,this.__getRadialGradient)}__getRadialGradient(){var O=this.fillRadialGradientColorStops();if(O){for(var M=m(),G=this.fillRadialGradientStartPoint(),U=this.fillRadialGradientEndPoint(),A=M.createRadialGradient(G.x,G.y,this.fillRadialGradientStartRadius(),U.x,U.y,this.fillRadialGradientEndRadius()),N=0;N<O.length;N+=2)A.addColorStop(O[N],O[N+1]);return A}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var O=n.Util.colorToRGBA(this.shadowColor());if(O)return"rgba("+O.r+","+O.g+","+O.b+","+O.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const O=this.hitStrokeWidth();return O==="auto"?this.hasStroke():this.strokeEnabled()&&!!O}intersects(O){var M=this.getStage(),G=M.bufferHitCanvas,U;return G.getContext().clear(),this.drawHit(G,null,!0),U=G.context.getImageData(Math.round(O.x),Math.round(O.y),1,1).data,U[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(O){var M;if(!this.getStage()||!((M=this.attrs.perfectDrawEnabled)!==null&&M!==void 0?M:!0))return!1;const U=O||this.hasFill(),A=this.hasStroke(),N=this.getAbsoluteOpacity()!==1;if(U&&A&&N)return!0;const F=this.hasShadow(),B=this.shadowForStrokeEnabled();return!!(U&&A&&F&&B)}setStrokeHitEnabled(O){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),O?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var O=this.size();return{x:this._centroid?-O.width/2:0,y:this._centroid?-O.height/2:0,width:O.width,height:O.height}}getClientRect(O={}){const M=O.skipTransform,G=O.relativeTo,U=this.getSelfRect(),N=!O.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,F=U.width+N,B=U.height+N,D=!O.skipShadow&&this.hasShadow(),V=D?this.shadowOffsetX():0,j=D?this.shadowOffsetY():0,q=F+Math.abs(V),Z=B+Math.abs(j),ee=D&&this.shadowBlur()||0,ie=q+ee*2,se=Z+ee*2,le={width:ie,height:se,x:-(N/2+ee)+Math.min(V,0)+U.x,y:-(N/2+ee)+Math.min(j,0)+U.y};return M?le:this._transformedRect(le,G)}drawScene(O,M){var G=this.getLayer(),U=O||G.getCanvas(),A=U.getContext(),N=this._getCanvasCache(),F=this.getSceneFunc(),B=this.hasShadow(),D,V,j,q=U.isCache,Z=M===this;if(!this.isVisible()&&!Z)return this;if(N){A.save();var ee=this.getAbsoluteTransform(M).getMatrix();return A.transform(ee[0],ee[1],ee[2],ee[3],ee[4],ee[5]),this._drawCachedSceneCanvas(A),A.restore(),this}if(!F)return this;if(A.save(),this._useBufferCanvas()&&!q){D=this.getStage(),V=D.bufferCanvas,j=V.getContext(),j.clear(),j.save(),j._applyLineJoin(this);var ie=this.getAbsoluteTransform(M).getMatrix();j.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),F.call(this,j,this),j.restore();var se=V.pixelRatio;B&&A._applyShadow(this),A._applyOpacity(this),A._applyGlobalCompositeOperation(this),A.drawImage(V._canvas,0,0,V.width/se,V.height/se)}else{if(A._applyLineJoin(this),!Z){var ie=this.getAbsoluteTransform(M).getMatrix();A.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),A._applyOpacity(this),A._applyGlobalCompositeOperation(this)}B&&A._applyShadow(this),F.call(this,A,this)}return A.restore(),this}drawHit(O,M,G=!1){if(!this.shouldDrawHit(M,G))return this;var U=this.getLayer(),A=O||U.hitCanvas,N=A&&A.getContext(),F=this.hitFunc()||this.sceneFunc(),B=this._getCanvasCache(),D=B&&B.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),D){N.save();var V=this.getAbsoluteTransform(M).getMatrix();return N.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedHitCanvas(N),N.restore(),this}if(!F)return this;if(N.save(),N._applyLineJoin(this),!(this===M)){var q=this.getAbsoluteTransform(M).getMatrix();N.transform(q[0],q[1],q[2],q[3],q[4],q[5])}return F.call(this,N,this),N.restore(),this}drawHitFromCache(O=0){var M=this._getCanvasCache(),G=this._getCachedSceneCanvas(),U=M.hit,A=U.getContext(),N=U.getWidth(),F=U.getHeight(),B,D,V,j,q,Z;A.clear(),A.drawImage(G._canvas,0,0,N,F);try{for(B=A.getImageData(0,0,N,F),D=B.data,V=D.length,j=n.Util._hexToRgb(this.colorKey),q=0;q<V;q+=4)Z=D[q+3],Z>O?(D[q]=j.r,D[q+1]=j.g,D[q+2]=j.b,D[q+3]=255):D[q+3]=0;A.putImageData(B,0,0)}catch(ee){n.Util.error("Unable to draw hit graph from cached scene canvas. "+ee.message)}return this}hasPointerCapture(O){return a.hasPointerCapture(O,this)}setPointerCapture(O){a.setPointerCapture(O,this)}releaseCapture(O){a.releaseCapture(O,this)}}e.Shape=P,P.prototype._fillFunc=v,P.prototype._strokeFunc=x,P.prototype._fillFuncHit=_,P.prototype._strokeFuncHit=b,P.prototype._centroid=!1,P.prototype.nodeType="Shape",(0,s._registerNode)(P),P.prototype.eventListeners={},P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",y),P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",S),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",C),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",T),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",E),r.Factory.addGetterSetter(P,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(P,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(P,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"lineJoin"),r.Factory.addGetterSetter(P,"lineCap"),r.Factory.addGetterSetter(P,"sceneFunc"),r.Factory.addGetterSetter(P,"hitFunc"),r.Factory.addGetterSetter(P,"dash"),r.Factory.addGetterSetter(P,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(P,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(P,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternImage"),r.Factory.addGetterSetter(P,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(P,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(P,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(P,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(P,"fillEnabled",!0),r.Factory.addGetterSetter(P,"strokeEnabled",!0),r.Factory.addGetterSetter(P,"shadowEnabled",!0),r.Factory.addGetterSetter(P,"dashEnabled",!0),r.Factory.addGetterSetter(P,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(P,"fillPriority","color"),r.Factory.addComponentsGetterSetter(P,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(P,"fillPatternRotation",0),r.Factory.addGetterSetter(P,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(P,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(rr);Object.defineProperty(Pm,"__esModule",{value:!0});Pm.Layer=void 0;const ia=Sn,Dx=vc,hd=fn,bE=nt,XO=Qo,YSe=ke,QSe=rr,ZSe=rt;var JSe="#",e2e="beforeDraw",t2e="draw",JU=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],n2e=JU.length;class Vf extends Dx.Container{constructor(t){super(t),this.canvas=new XO.SceneCanvas,this.hitCanvas=new XO.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){hd.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=hd.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(hd.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(hd.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return hd.Node.prototype.remove.call(this),t&&t.parentNode&&ia.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&ia.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),hd.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){ia.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){ia.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,ia.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<n2e;i++){const o=JU[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=ia.Util._rgbToHex(r[0],r[1],r[2]),s=QSe.shapes[JSe+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(e2e,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),Dx.Container.prototype.drawScene.call(this,i,n),this._fire(t2e,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),Dx.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){ia.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return ia.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return ia.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Pm.Layer=Vf;Vf.prototype.nodeType="Layer";(0,ZSe._registerNode)(Vf);bE.Factory.addGetterSetter(Vf,"imageSmoothingEnabled",!0);bE.Factory.addGetterSetter(Vf,"clearBeforeDraw",!0);bE.Factory.addGetterSetter(Vf,"hitGraphEnabled",!0,(0,YSe.getBooleanValidator)());var lS={};Object.defineProperty(lS,"__esModule",{value:!0});lS.FastLayer=void 0;const r2e=Sn,i2e=Pm,o2e=rt;class SE extends i2e.Layer{constructor(t){super(t),this.listening(!1),r2e.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}lS.FastLayer=SE;SE.prototype.nodeType="FastLayer";(0,o2e._registerNode)(SE);var jf={};Object.defineProperty(jf,"__esModule",{value:!0});jf.Group=void 0;const s2e=Sn,a2e=vc,l2e=rt;class wE extends a2e.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&s2e.Util.throw("You may only add groups and shapes to groups.")}}jf.Group=wE;wE.prototype.nodeType="Group";(0,l2e._registerNode)(wE);var Gf={};Object.defineProperty(Gf,"__esModule",{value:!0});Gf.Animation=void 0;const $x=rt,YO=Sn;var Fx=function(){return $x.glob.performance&&$x.glob.performance.now?function(){return $x.glob.performance.now()}:function(){return new Date().getTime()}}();class ws{constructor(t,n){this.id=ws.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Fx(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=ws,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=Fx(),ws._addAnimation(this),this}stop(){return ws._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,d,f;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(Fx()),l=i.length,o?f=o.call(r,r.frame)!==!1:f=!0,!!f)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(d in t)t.hasOwnProperty(d)&&t[d].batchDraw()}static _animationLoop(){var t=ws;t.animations.length?(t._runFrames(),YO.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,YO.Util.requestAnimFrame(this._animationLoop))}}Gf.Animation=ws;ws.animations=[];ws.animIdCounter=0;ws.animRunning=!1;var ez={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=Sn,n=Gf,r=fn,i=rt;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,d=["fill","stroke","shadowColor"];class f{constructor(m,v,x,_,b,y,S){this.prop=m,this.propFunc=v,this.begin=_,this._pos=_,this.duration=y,this._change=0,this.prevPos=0,this.yoyo=S,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=x,this._change=b-this.begin,this.pause()}fire(m){var v=this[m];v&&v()}setTime(m){m>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():m<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=m,this.update())}getTime(){return this._time}setPosition(m){this.prevPos=this._pos,this.propFunc(m),this._pos=m}getPosition(m){return m===void 0&&(m=this._time),this.func(m,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(m){this.pause(),this._time=m,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var m=this.getTimer()-this._startTime;this.state===a?this.setTime(m):this.state===l&&this.setTime(this.duration-m)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class p{constructor(m){var v=this,x=m.node,_=x._id,b,y=m.easing||e.Easings.Linear,S=!!m.yoyo,C;typeof m.duration>"u"?b=.3:m.duration===0?b=.001:b=m.duration,this.node=x,this._id=u++;var T=x.getLayer()||(x instanceof i.Konva.Stage?x.getLayers():null);T||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){v.tween.onEnterFrame()},T),this.tween=new f(C,function(E){v._tweenFunc(E)},y,0,1,b*1e3,S),this._addListeners(),p.attrs[_]||(p.attrs[_]={}),p.attrs[_][this._id]||(p.attrs[_][this._id]={}),p.tweens[_]||(p.tweens[_]={});for(C in m)o[C]===void 0&&this._addAttr(C,m[C]);this.reset(),this.onFinish=m.onFinish,this.onReset=m.onReset,this.onUpdate=m.onUpdate}_addAttr(m,v){var x=this.node,_=x._id,b,y,S,C,T,E,P,k;if(S=p.tweens[_][m],S&&delete p.attrs[_][S][m],b=x.getAttr(m),t.Util._isArray(v))if(y=[],T=Math.max(v.length,b.length),m==="points"&&v.length!==b.length&&(v.length>b.length?(P=b,b=t.Util._prepareArrayForTween(b,v,x.closed())):(E=v,v=t.Util._prepareArrayForTween(v,b,x.closed()))),m.indexOf("fill")===0)for(C=0;C<T;C++)if(C%2===0)y.push(v[C]-b[C]);else{var O=t.Util.colorToRGBA(b[C]);k=t.Util.colorToRGBA(v[C]),b[C]=O,y.push({r:k.r-O.r,g:k.g-O.g,b:k.b-O.b,a:k.a-O.a})}else for(C=0;C<T;C++)y.push(v[C]-b[C]);else d.indexOf(m)!==-1?(b=t.Util.colorToRGBA(b),k=t.Util.colorToRGBA(v),y={r:k.r-b.r,g:k.g-b.g,b:k.b-b.b,a:k.a-b.a}):y=v-b;p.attrs[_][this._id][m]={start:b,diff:y,end:v,trueEnd:E,trueStart:P},p.tweens[_][m]=this._id}_tweenFunc(m){var v=this.node,x=p.attrs[v._id][this._id],_,b,y,S,C,T,E,P;for(_ in x){if(b=x[_],y=b.start,S=b.diff,P=b.end,t.Util._isArray(y))if(C=[],E=Math.max(y.length,P.length),_.indexOf("fill")===0)for(T=0;T<E;T++)T%2===0?C.push((y[T]||0)+S[T]*m):C.push("rgba("+Math.round(y[T].r+S[T].r*m)+","+Math.round(y[T].g+S[T].g*m)+","+Math.round(y[T].b+S[T].b*m)+","+(y[T].a+S[T].a*m)+")");else for(T=0;T<E;T++)C.push((y[T]||0)+S[T]*m);else d.indexOf(_)!==-1?C="rgba("+Math.round(y.r+S.r*m)+","+Math.round(y.g+S.g*m)+","+Math.round(y.b+S.b*m)+","+(y.a+S.a*m)+")":C=y+S*m;v.setAttr(_,C)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var m=this.node,v=p.attrs[m._id][this._id];v.points&&v.points.trueEnd&&m.setAttr("points",v.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var m=this.node,v=p.attrs[m._id][this._id];v.points&&v.points.trueStart&&m.points(v.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(m){return this.tween.seek(m*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var m=this.node._id,v=this._id,x=p.tweens[m],_;this.pause();for(_ in x)delete p.tweens[m][_];delete p.attrs[m][v]}}e.Tween=p,p.attrs={},p.tweens={},r.Node.prototype.to=function(g){var m=g.onFinish;g.node=this,g.onFinish=function(){this.destroy(),m&&m()};var v=new p(g);v.play()},e.Easings={BackEaseIn(g,m,v,x){var _=1.70158;return v*(g/=x)*g*((_+1)*g-_)+m},BackEaseOut(g,m,v,x){var _=1.70158;return v*((g=g/x-1)*g*((_+1)*g+_)+1)+m},BackEaseInOut(g,m,v,x){var _=1.70158;return(g/=x/2)<1?v/2*(g*g*(((_*=1.525)+1)*g-_))+m:v/2*((g-=2)*g*(((_*=1.525)+1)*g+_)+2)+m},ElasticEaseIn(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x)===1?m+v:(b||(b=x*.3),!_||_<Math.abs(v)?(_=v,y=b/4):y=b/(2*Math.PI)*Math.asin(v/_),-(_*Math.pow(2,10*(g-=1))*Math.sin((g*x-y)*(2*Math.PI)/b))+m)},ElasticEaseOut(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x)===1?m+v:(b||(b=x*.3),!_||_<Math.abs(v)?(_=v,y=b/4):y=b/(2*Math.PI)*Math.asin(v/_),_*Math.pow(2,-10*g)*Math.sin((g*x-y)*(2*Math.PI)/b)+v+m)},ElasticEaseInOut(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x/2)===2?m+v:(b||(b=x*(.3*1.5)),!_||_<Math.abs(v)?(_=v,y=b/4):y=b/(2*Math.PI)*Math.asin(v/_),g<1?-.5*(_*Math.pow(2,10*(g-=1))*Math.sin((g*x-y)*(2*Math.PI)/b))+m:_*Math.pow(2,-10*(g-=1))*Math.sin((g*x-y)*(2*Math.PI)/b)*.5+v+m)},BounceEaseOut(g,m,v,x){return(g/=x)<1/2.75?v*(7.5625*g*g)+m:g<2/2.75?v*(7.5625*(g-=1.5/2.75)*g+.75)+m:g<2.5/2.75?v*(7.5625*(g-=2.25/2.75)*g+.9375)+m:v*(7.5625*(g-=2.625/2.75)*g+.984375)+m},BounceEaseIn(g,m,v,x){return v-e.Easings.BounceEaseOut(x-g,0,v,x)+m},BounceEaseInOut(g,m,v,x){return g<x/2?e.Easings.BounceEaseIn(g*2,0,v,x)*.5+m:e.Easings.BounceEaseOut(g*2-x,0,v,x)*.5+v*.5+m},EaseIn(g,m,v,x){return v*(g/=x)*g+m},EaseOut(g,m,v,x){return-v*(g/=x)*(g-2)+m},EaseInOut(g,m,v,x){return(g/=x/2)<1?v/2*g*g+m:-v/2*(--g*(g-2)-1)+m},StrongEaseIn(g,m,v,x){return v*(g/=x)*g*g*g*g+m},StrongEaseOut(g,m,v,x){return v*((g=g/x-1)*g*g*g*g+1)+m},StrongEaseInOut(g,m,v,x){return(g/=x/2)<1?v/2*g*g*g*g*g+m:v/2*((g-=2)*g*g*g*g+2)+m},Linear(g,m,v,x){return v*g/x+m}}})(ez);(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Konva=void 0;const t=rt,n=Sn,r=fn,i=vc,o=YU,s=Pm,a=lS,l=jf,u=sS,d=rr,f=Gf,p=ez,g=ba,m=Qo;e.Konva=n.Util._assign(t.Konva,{Util:n.Util,Transform:n.Transform,Node:r.Node,Container:i.Container,Stage:o.Stage,stages:o.stages,Layer:s.Layer,FastLayer:a.FastLayer,Group:l.Group,DD:u.DD,Shape:d.Shape,shapes:d.shapes,Animation:f.Animation,Tween:p.Tween,Easings:p.Easings,Context:g.Context,Canvas:m.Canvas}),e.default=e.Konva})(WU);var uS={};Object.defineProperty(uS,"__esModule",{value:!0});uS.Arc=void 0;const cS=nt,u2e=rr,QO=rt,dS=ke,c2e=rt;class Ua extends u2e.Shape{_sceneFunc(t){var n=QO.Konva.getAngle(this.angle()),r=this.clockwise();t.beginPath(),t.arc(0,0,this.outerRadius(),0,n,r),t.arc(0,0,this.innerRadius(),n,0,!r),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}getSelfRect(){const t=this.innerRadius(),n=this.outerRadius(),r=this.clockwise(),i=QO.Konva.getAngle(r?360-this.angle():this.angle()),o=Math.cos(Math.min(i,Math.PI)),s=1,a=Math.sin(Math.min(Math.max(Math.PI,i),3*Math.PI/2)),l=Math.sin(Math.min(i,Math.PI/2)),u=o*(o>0?t:n),d=s*n,f=a*(a>0?t:n),p=l*(l>0?n:t);return{x:u,y:r?-1*p:f,width:d-u,height:p-f}}}uS.Arc=Ua;Ua.prototype._centroid=!0;Ua.prototype.className="Arc";Ua.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,c2e._registerNode)(Ua);cS.Factory.addGetterSetter(Ua,"innerRadius",0,(0,dS.getNumberValidator)());cS.Factory.addGetterSetter(Ua,"outerRadius",0,(0,dS.getNumberValidator)());cS.Factory.addGetterSetter(Ua,"angle",0,(0,dS.getNumberValidator)());cS.Factory.addGetterSetter(Ua,"clockwise",!1,(0,dS.getBooleanValidator)());var fS={},Rm={};Object.defineProperty(Rm,"__esModule",{value:!0});Rm.Line=void 0;const hS=nt,d2e=rr,tz=ke,f2e=rt;function a5(e,t,n,r,i,o,s){var a=Math.sqrt(Math.pow(n-e,2)+Math.pow(r-t,2)),l=Math.sqrt(Math.pow(i-n,2)+Math.pow(o-r,2)),u=s*a/(a+l),d=s*l/(a+l),f=n-u*(i-e),p=r-u*(o-t),g=n+d*(i-e),m=r+d*(o-t);return[f,p,g,m]}function ZO(e,t){var n=e.length,r=[],i,o;for(i=2;i<n-2;i+=2)o=a5(e[i-2],e[i-1],e[i],e[i+1],e[i+2],e[i+3],t),!isNaN(o[0])&&(r.push(o[0]),r.push(o[1]),r.push(e[i]),r.push(e[i+1]),r.push(o[2]),r.push(o[3]));return r}class iu extends d2e.Shape{constructor(t){super(t),this.on("pointsChange.konva tensionChange.konva closedChange.konva bezierChange.konva",function(){this._clearCache("tensionPoints")})}_sceneFunc(t){var n=this.points(),r=n.length,i=this.tension(),o=this.closed(),s=this.bezier(),a,l,u;if(r){if(t.beginPath(),t.moveTo(n[0],n[1]),i!==0&&r>4){for(a=this.getTensionPoints(),l=a.length,u=o?0:4,o||t.quadraticCurveTo(a[0],a[1],a[2],a[3]);u<l-2;)t.bezierCurveTo(a[u++],a[u++],a[u++],a[u++],a[u++],a[u++]);o||t.quadraticCurveTo(a[l-2],a[l-1],n[r-2],n[r-1])}else if(s)for(u=2;u<r;)t.bezierCurveTo(n[u++],n[u++],n[u++],n[u++],n[u++],n[u++]);else for(u=2;u<r;u+=2)t.lineTo(n[u],n[u+1]);o?(t.closePath(),t.fillStrokeShape(this)):t.strokeShape(this)}}getTensionPoints(){return this._getCache("tensionPoints",this._getTensionPoints)}_getTensionPoints(){return this.closed()?this._getTensionPointsClosed():ZO(this.points(),this.tension())}_getTensionPointsClosed(){var t=this.points(),n=t.length,r=this.tension(),i=a5(t[n-2],t[n-1],t[0],t[1],t[2],t[3],r),o=a5(t[n-4],t[n-3],t[n-2],t[n-1],t[0],t[1],r),s=ZO(t,r),a=[i[2],i[3]].concat(s).concat([o[0],o[1],t[n-2],t[n-1],o[2],o[3],i[0],i[1],t[0],t[1]]);return 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n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],isNaN(s)||(n=Math.min(n,s),r=Math.max(r,s)),isNaN(a)||(i=Math.min(i,a),o=Math.max(o,a));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return Zn.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return Zn.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return Zn.getPointOnCubicBezier((0,pd.t2length)(t,Zn.getPathLength(n),v=>(0,pd.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return Zn.getPointOnQuadraticBezier((0,pd.t2length)(t,Zn.getPathLength(n),v=>(0,pd.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],d=a[2],f=a[3],p=a[4],g=a[5],m=a[6];return p+=g*t/s.pathLength,Zn.getPointOnEllipticalArc(l,u,d,f,p,m)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var d=l*u,f;if(i===n)f={x:s,y:a+d};else if((a-r)/(s-n+1e-8)===l)f={x:s+u,y:a+d};else{var p,g,m=this.getLineLength(n,r,i,o),v=(s-n)*(i-n)+(a-r)*(o-r);v=v/(m*m),p=n+v*(i-n),g=r+v*(o-r);var x=this.getLineLength(s,a,p,g),_=Math.sqrt(t*t-x*x);u=Math.sqrt(_*_/(1+l*l)),i<n&&(u*=-1),d=l*u,f={x:p+u,y:g+d}}return f}static getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function d(x){return x*x*x}function f(x){return 3*x*x*(1-x)}function p(x){return 3*x*(1-x)*(1-x)}function g(x){return(1-x)*(1-x)*(1-x)}var m=l*d(t)+s*f(t)+i*p(t)+n*g(t),v=u*d(t)+a*f(t)+o*p(t)+r*g(t);return{x:m,y:v}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(g){return g*g}function u(g){return 2*g*(1-g)}function d(g){return(1-g)*(1-g)}var f=s*l(t)+i*u(t)+n*d(t),p=a*l(t)+o*u(t)+r*d(t);return{x:f,y:p}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,d=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,f;for(i=1;i<o.length;i++){var p=o[i],g=p.charAt(0);for(p=p.slice(1),a.length=0;f=d.exec(p);)a.push(f[0]);for(var m=[],v=0,x=a.length;v<x;v++){if(a[v]==="00"){m.push(0,0);continue}var _=parseFloat(a[v]);isNaN(_)?m.push(0):m.push(_)}for(;m.length>0&&!isNaN(m[0]);){var b=null,y=[],S=l,C=u,T,E,P,k,O,M,G,U,A,N;switch(g){case"l":l+=m.shift(),u+=m.shift(),b="L",y.push(l,u);break;case"L":l=m.shift(),u=m.shift(),y.push(l,u);break;case"m":var F=m.shift(),B=m.shift();if(l+=F,u+=B,b="M",s.length>2&&s[s.length-1].command==="z"){for(var D=s.length-2;D>=0;D--)if(s[D].command==="M"){l=s[D].points[0]+F,u=s[D].points[1]+B;break}}y.push(l,u),g="l";break;case"M":l=m.shift(),u=m.shift(),b="M",y.push(l,u),g="L";break;case"h":l+=m.shift(),b="L",y.push(l,u);break;case"H":l=m.shift(),b="L",y.push(l,u);break;case"v":u+=m.shift(),b="L",y.push(l,u);break;case"V":u=m.shift(),b="L",y.push(l,u);break;case"C":y.push(m.shift(),m.shift(),m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"c":y.push(l+m.shift(),u+m.shift(),l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"S":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,m.shift(),m.shift()),l=m.shift(),u=m.shift(),b="C",y.push(l,u);break;case"s":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"Q":y.push(m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"q":y.push(l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="Q",y.push(l,u);break;case"T":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l=m.shift(),u=m.shift(),b="Q",y.push(E,P,l,u);break;case"t":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l+=m.shift(),u+=m.shift(),b="Q",y.push(E,P,l,u);break;case"A":k=m.shift(),O=m.shift(),M=m.shift(),G=m.shift(),U=m.shift(),A=l,N=u,l=m.shift(),u=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,G,U,k,O,M);break;case"a":k=m.shift(),O=m.shift(),M=m.shift(),G=m.shift(),U=m.shift(),A=l,N=u,l+=m.shift(),u+=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,G,U,k,O,M);break}s.push({command:b||g,points:y,start:{x:S,y:C},pathLength:this.calcLength(S,C,b||g,y)})}(g==="z"||g==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=Zn;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,pd.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,pd.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var d=i[4],f=i[5],p=i[4]+f,g=Math.PI/180;if(Math.abs(d-p)<g&&(g=Math.abs(d-p)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],d,0),f<0)for(l=d-g;l>p;l-=g)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=d+g;l<p;l+=g)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],p,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var d=u*(Math.PI/180),f=Math.cos(d)*(t-r)/2+Math.sin(d)*(n-i)/2,p=-1*Math.sin(d)*(t-r)/2+Math.cos(d)*(n-i)/2,g=f*f/(a*a)+p*p/(l*l);g>1&&(a*=Math.sqrt(g),l*=Math.sqrt(g));var m=Math.sqrt((a*a*(l*l)-a*a*(p*p)-l*l*(f*f))/(a*a*(p*p)+l*l*(f*f)));o===s&&(m*=-1),isNaN(m)&&(m=0);var v=m*a*p/l,x=m*-l*f/a,_=(t+r)/2+Math.cos(d)*v-Math.sin(d)*x,b=(n+i)/2+Math.sin(d)*v+Math.cos(d)*x,y=function(O){return Math.sqrt(O[0]*O[0]+O[1]*O[1])},S=function(O,M){return(O[0]*M[0]+O[1]*M[1])/(y(O)*y(M))},C=function(O,M){return(O[0]*M[1]<O[1]*M[0]?-1:1)*Math.acos(S(O,M))},T=C([1,0],[(f-v)/a,(p-x)/l]),E=[(f-v)/a,(p-x)/l],P=[(-1*f-v)/a,(-1*p-x)/l],k=C(E,P);return S(E,P)<=-1&&(k=Math.PI),S(E,P)>=1&&(k=0),s===0&&k>0&&(k=k-2*Math.PI),s===1&&k<0&&(k=k+2*Math.PI),[_,b,a,l,T,k,d,s]}}Hf.Path=Zn;Zn.prototype.className="Path";Zn.prototype._attrsAffectingSize=["data"];(0,g2e._registerNode)(Zn);h2e.Factory.addGetterSetter(Zn,"data");Object.defineProperty(fS,"__esModule",{value:!0});fS.Arrow=void 0;const pS=nt,m2e=Rm,rz=ke,y2e=rt,JO=Hf;class bc extends m2e.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const p=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],g=JO.Path.calcLength(i[i.length-4],i[i.length-3],"C",p),m=JO.Path.getPointOnQuadraticBezier(Math.min(1,1-s/g),p[0],p[1],p[2],p[3],p[4],p[5]);l=r[a-2]-m.x,u=r[a-1]-m.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var d=(Math.atan2(u,l)+n)%n,f=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(d),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}fS.Arrow=bc;bc.prototype.className="Arrow";(0,y2e._registerNode)(bc);pS.Factory.addGetterSetter(bc,"pointerLength",10,(0,rz.getNumberValidator)());pS.Factory.addGetterSetter(bc,"pointerWidth",10,(0,rz.getNumberValidator)());pS.Factory.addGetterSetter(bc,"pointerAtBeginning",!1);pS.Factory.addGetterSetter(bc,"pointerAtEnding",!0);var gS={};Object.defineProperty(gS,"__esModule",{value:!0});gS.Circle=void 0;const v2e=nt,_2e=rr,b2e=ke,S2e=rt;let Wf=class extends _2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};gS.Circle=Wf;Wf.prototype._centroid=!0;Wf.prototype.className="Circle";Wf.prototype._attrsAffectingSize=["radius"];(0,S2e._registerNode)(Wf);v2e.Factory.addGetterSetter(Wf,"radius",0,(0,b2e.getNumberValidator)());var mS={};Object.defineProperty(mS,"__esModule",{value:!0});mS.Ellipse=void 0;const xE=nt,w2e=rr,iz=ke,x2e=rt;class ou extends w2e.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}mS.Ellipse=ou;ou.prototype.className="Ellipse";ou.prototype._centroid=!0;ou.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,x2e._registerNode)(ou);xE.Factory.addComponentsGetterSetter(ou,"radius",["x","y"]);xE.Factory.addGetterSetter(ou,"radiusX",0,(0,iz.getNumberValidator)());xE.Factory.addGetterSetter(ou,"radiusY",0,(0,iz.getNumberValidator)());var yS={};Object.defineProperty(yS,"__esModule",{value:!0});yS.Image=void 0;const Bx=Sn,Sc=nt,C2e=rr,T2e=rt,Om=ke;let Us=class oz extends C2e.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?Bx.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?Bx.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=Bx.Util.createImageElement();i.onload=function(){var o=new oz({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};yS.Image=Us;Us.prototype.className="Image";(0,T2e._registerNode)(Us);Sc.Factory.addGetterSetter(Us,"cornerRadius",0,(0,Om.getNumberOrArrayOfNumbersValidator)(4));Sc.Factory.addGetterSetter(Us,"image");Sc.Factory.addComponentsGetterSetter(Us,"crop",["x","y","width","height"]);Sc.Factory.addGetterSetter(Us,"cropX",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropY",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropWidth",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropHeight",0,(0,Om.getNumberValidator)());var Rf={};Object.defineProperty(Rf,"__esModule",{value:!0});Rf.Tag=Rf.Label=void 0;const vS=nt,E2e=rr,A2e=jf,CE=ke,sz=rt;var az=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],P2e="Change.konva",R2e="none",l5="up",u5="right",c5="down",d5="left",O2e=az.length;class TE extends A2e.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<O2e;r++)t.on(az[r]+P2e,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case l5:a=r/2,l=-1*u;break;case u5:a=r+s,l=i/2;break;case c5:a=r/2,l=i+u;break;case d5:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}Rf.Label=TE;TE.prototype.className="Label";(0,sz._registerNode)(TE);class wc extends E2e.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,d=0,f=0;typeof a=="number"?l=u=d=f=Math.min(a,n/2,r/2):(l=Math.min(a[0]||0,n/2,r/2),u=Math.min(a[1]||0,n/2,r/2),f=Math.min(a[2]||0,n/2,r/2),d=Math.min(a[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===l5&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*s),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===u5&&(t.lineTo(n,(r-s)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+s)/2)),t.lineTo(n,r-f),t.arc(n-f,r-f,f,0,Math.PI/2,!1),i===c5&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+s),t.lineTo((n-o)/2,r)),t.lineTo(d,r),t.arc(d,r-d,d,Math.PI/2,Math.PI,!1),i===d5&&(t.lineTo(0,(r+s)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-s)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),s=this.width(),a=this.height();return o===l5?(n-=i,a+=i):o===c5?a+=i:o===d5?(t-=r*1.5,s+=r):o===u5&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}Rf.Tag=wc;wc.prototype.className="Tag";(0,sz._registerNode)(wc);vS.Factory.addGetterSetter(wc,"pointerDirection",R2e);vS.Factory.addGetterSetter(wc,"pointerWidth",0,(0,CE.getNumberValidator)());vS.Factory.addGetterSetter(wc,"pointerHeight",0,(0,CE.getNumberValidator)());vS.Factory.addGetterSetter(wc,"cornerRadius",0,(0,CE.getNumberOrArrayOfNumbersValidator)(4));var km={};Object.defineProperty(km,"__esModule",{value:!0});km.Rect=void 0;const k2e=nt,I2e=rr,M2e=rt,N2e=Sn,L2e=ke;let _S=class extends I2e.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?N2e.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};km.Rect=_S;_S.prototype.className="Rect";(0,M2e._registerNode)(_S);k2e.Factory.addGetterSetter(_S,"cornerRadius",0,(0,L2e.getNumberOrArrayOfNumbersValidator)(4));var bS={};Object.defineProperty(bS,"__esModule",{value:!0});bS.RegularPolygon=void 0;const lz=nt,D2e=rr,uz=ke,$2e=rt;class xc extends D2e.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}bS.RegularPolygon=xc;xc.prototype.className="RegularPolygon";xc.prototype._centroid=!0;xc.prototype._attrsAffectingSize=["radius"];(0,$2e._registerNode)(xc);lz.Factory.addGetterSetter(xc,"radius",0,(0,uz.getNumberValidator)());lz.Factory.addGetterSetter(xc,"sides",0,(0,uz.getNumberValidator)());var SS={};Object.defineProperty(SS,"__esModule",{value:!0});SS.Ring=void 0;const cz=nt,F2e=rr,dz=ke,B2e=rt;var ek=Math.PI*2;class Cc extends F2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,ek,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),ek,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}SS.Ring=Cc;Cc.prototype.className="Ring";Cc.prototype._centroid=!0;Cc.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,B2e._registerNode)(Cc);cz.Factory.addGetterSetter(Cc,"innerRadius",0,(0,dz.getNumberValidator)());cz.Factory.addGetterSetter(Cc,"outerRadius",0,(0,dz.getNumberValidator)());var wS={};Object.defineProperty(wS,"__esModule",{value:!0});wS.Sprite=void 0;const Tc=nt,U2e=rr,z2e=Gf,fz=ke,V2e=rt;class zs extends U2e.Shape{constructor(t){super(t),this._updated=!0,this.anim=new z2e.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+0],l=o[i+1],u=o[i+2],d=o[i+3],f=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,d),t.closePath(),t.fillStrokeShape(this)),f)if(s){var p=s[n],g=r*2;t.drawImage(f,a,l,u,d,p[g+0],p[g+1],u,d)}else t.drawImage(f,a,l,u,d,0,0,u,d)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+2],l=o[i+3];if(t.beginPath(),s){var u=s[n],d=r*2;t.rect(u[d+0],u[d+1],a,l)}else t.rect(0,0,a,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}wS.Sprite=zs;zs.prototype.className="Sprite";(0,V2e._registerNode)(zs);Tc.Factory.addGetterSetter(zs,"animation");Tc.Factory.addGetterSetter(zs,"animations");Tc.Factory.addGetterSetter(zs,"frameOffsets");Tc.Factory.addGetterSetter(zs,"image");Tc.Factory.addGetterSetter(zs,"frameIndex",0,(0,fz.getNumberValidator)());Tc.Factory.addGetterSetter(zs,"frameRate",17,(0,fz.getNumberValidator)());Tc.Factory.backCompat(zs,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var xS={};Object.defineProperty(xS,"__esModule",{value:!0});xS.Star=void 0;const EE=nt,j2e=rr,AE=ke,G2e=rt;class su extends j2e.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}xS.Star=su;su.prototype.className="Star";su.prototype._centroid=!0;su.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,G2e._registerNode)(su);EE.Factory.addGetterSetter(su,"numPoints",5,(0,AE.getNumberValidator)());EE.Factory.addGetterSetter(su,"innerRadius",0,(0,AE.getNumberValidator)());EE.Factory.addGetterSetter(su,"outerRadius",0,(0,AE.getNumberValidator)());var uc={};Object.defineProperty(uc,"__esModule",{value:!0});uc.Text=uc.stringToArray=void 0;const f5=Sn,di=nt,H2e=rr,au=ke,W2e=rt;function hz(e){return Array.from(e)}uc.stringToArray=hz;var gd="auto",q2e="center",Zh="justify",K2e="Change.konva",X2e="2d",tk="-",pz="left",Y2e="text",Q2e="Text",Z2e="top",J2e="bottom",nk="middle",gz="normal",ewe="px ",D0=" ",twe="right",nwe="word",rwe="char",rk="none",Ux="…",mz=["fontFamily","fontSize","fontStyle","fontVariant","padding","align","verticalAlign","lineHeight","text","width","height","wrap","ellipsis","letterSpacing"],iwe=mz.length;function owe(e){return e.split(",").map(t=>{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var $0;function zx(){return $0||($0=f5.Util.createCanvasElement().getContext(X2e),$0)}function swe(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function awe(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function lwe(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}class Dn extends H2e.Shape{constructor(t){super(lwe(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n<iwe;n++)this.on(mz[n]+K2e,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),d=this.getWidth(),f=this.letterSpacing(),p=this.fill(),g=this.textDecoration(),m=g.indexOf("underline")!==-1,v=g.indexOf("line-through")!==-1,x,_=0,_=s/2,b=0,y=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",nk),t.setAttr("textAlign",pz),a===nk?l=(this.getHeight()-r*s-i*2)/2:a===J2e&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),x=0;x<r;x++){var b=0,y=0,S=n[x],C=S.text,T=S.width,E=S.lastInParagraph,P,k,O;if(t.save(),u===twe?b+=d-T-i*2:u===q2e&&(b+=(d-T-i*2)/2),m){t.save(),t.beginPath(),t.moveTo(b,_+y+Math.round(o/2)),P=C.split(" ").length-1,k=P===0,O=u===Zh&&!E?d-i*2:T,t.lineTo(b+Math.round(O),_+y+Math.round(o/2)),t.lineWidth=o/15;const F=this._getLinearGradient();t.strokeStyle=F||p,t.stroke(),t.restore()}if(v){t.save(),t.beginPath(),t.moveTo(b,_+y),P=C.split(" ").length-1,k=P===0,O=u===Zh&&E&&!k?d-i*2:T,t.lineTo(b+Math.round(O),_+y),t.lineWidth=o/15;const F=this._getLinearGradient();t.strokeStyle=F||p,t.stroke(),t.restore()}if(f!==0||u===Zh){P=C.split(" ").length-1;for(var M=hz(C),G=0;G<M.length;G++){var U=M[G];U===" "&&!E&&u===Zh&&(b+=(d-i*2-T)/P),this._partialTextX=b,this._partialTextY=_+y,this._partialText=U,t.fillStrokeShape(this),b+=this.measureSize(U).width+f}}else this._partialTextX=b,this._partialTextY=_+y,this._partialText=C,t.fillStrokeShape(this);t.restore(),r>1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=f5.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(Y2e,n),this}getWidth(){var t=this.attrs.width===gd||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===gd||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return f5.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}measureSize(t){var n=zx(),r=this.fontSize(),i;return n.save(),n.font=this._getContextFont(),i=n.measureText(t),n.restore(),{width:i.width,height:r}}_getContextFont(){return this.fontStyle()+D0+this.fontVariant()+D0+(this.fontSize()+ewe)+owe(this.fontFamily())}_addTextLine(t){this.align()===Zh&&(t=t.trim());var r=this._getTextWidth(t);return this.textArr.push({text:t,width:r,lastInParagraph:!1})}_getTextWidth(t){var n=this.letterSpacing(),r=t.length;return zx().measureText(t).width+(r?n*(r-1):0)}_setTextData(){var t=this.text().split(`
+`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,s=this.attrs.height,a=o!==gd&&o!==void 0,l=s!==gd&&s!==void 0,u=this.padding(),d=o-u*2,f=s-u*2,p=0,g=this.wrap(),m=g!==rk,v=g!==rwe&&m,x=this.ellipsis();this.textArr=[],zx().font=this._getContextFont();for(var _=x?this._getTextWidth(Ux):0,b=0,y=t.length;b<y;++b){var S=t[b],C=this._getTextWidth(S);if(a&&C>d)for(;S.length>0;){for(var T=0,E=S.length,P="",k=0;T<E;){var O=T+E>>>1,M=S.slice(0,O+1),G=this._getTextWidth(M)+_;G<=d?(T=O+1,P=M,k=G):E=O}if(P){if(v){var U,A=S[P.length],N=A===D0||A===tk;N&&k<=d?U=P.length:U=Math.max(P.lastIndexOf(D0),P.lastIndexOf(tk))+1,U>0&&(T=U,P=P.slice(0,T),k=this._getTextWidth(P))}P=P.trimRight(),this._addTextLine(P),r=Math.max(r,k),p+=i;var F=this._shouldHandleEllipsis(p);if(F){this._tryToAddEllipsisToLastLine();break}if(S=S.slice(T),S=S.trimLeft(),S.length>0&&(C=this._getTextWidth(S),C<=d)){this._addTextLine(S),p+=i,r=Math.max(r,C);break}}else break}else this._addTextLine(S),p+=i,r=Math.max(r,C),this._shouldHandleEllipsis(p)&&b<y-1&&this._tryToAddEllipsisToLastLine();if(this.textArr[this.textArr.length-1]&&(this.textArr[this.textArr.length-1].lastInParagraph=!0),l&&p+i>f)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==gd&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==rk;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==gd&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),s=this.textArr[this.textArr.length-1];if(!(!s||!o)){if(n){var a=this._getTextWidth(s.text+Ux)<i;a||(s.text=s.text.slice(0,s.text.length-3))}this.textArr.splice(this.textArr.length-1,1),this._addTextLine(s.text+Ux)}}getStrokeScaleEnabled(){return!0}}uc.Text=Dn;Dn.prototype._fillFunc=swe;Dn.prototype._strokeFunc=awe;Dn.prototype.className=Q2e;Dn.prototype._attrsAffectingSize=["text","fontSize","padding","wrap","lineHeight","letterSpacing"];(0,W2e._registerNode)(Dn);di.Factory.overWriteSetter(Dn,"width",(0,au.getNumberOrAutoValidator)());di.Factory.overWriteSetter(Dn,"height",(0,au.getNumberOrAutoValidator)());di.Factory.addGetterSetter(Dn,"fontFamily","Arial");di.Factory.addGetterSetter(Dn,"fontSize",12,(0,au.getNumberValidator)());di.Factory.addGetterSetter(Dn,"fontStyle",gz);di.Factory.addGetterSetter(Dn,"fontVariant",gz);di.Factory.addGetterSetter(Dn,"padding",0,(0,au.getNumberValidator)());di.Factory.addGetterSetter(Dn,"align",pz);di.Factory.addGetterSetter(Dn,"verticalAlign",Z2e);di.Factory.addGetterSetter(Dn,"lineHeight",1,(0,au.getNumberValidator)());di.Factory.addGetterSetter(Dn,"wrap",nwe);di.Factory.addGetterSetter(Dn,"ellipsis",!1,(0,au.getBooleanValidator)());di.Factory.addGetterSetter(Dn,"letterSpacing",0,(0,au.getNumberValidator)());di.Factory.addGetterSetter(Dn,"text","",(0,au.getStringValidator)());di.Factory.addGetterSetter(Dn,"textDecoration","");var CS={};Object.defineProperty(CS,"__esModule",{value:!0});CS.TextPath=void 0;const Vx=Sn,is=nt,uwe=rr,Jh=Hf,jx=uc,yz=ke,cwe=rt;var dwe="",vz="normal";function _z(e){e.fillText(this.partialText,0,0)}function bz(e){e.strokeText(this.partialText,0,0)}class ir extends uwe.Shape{constructor(t){super(t),this.dummyCanvas=Vx.Util.createCanvasElement(),this.dataArray=[],this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute(),this._setTextData()}),this.on("textChange.konva alignChange.konva letterSpacingChange.konva kerningFuncChange.konva fontSizeChange.konva fontFamilyChange.konva",this._setTextData),this._setTextData()}_getTextPathLength(){return Jh.Path.getPathLength(this.dataArray)}_getPointAtLength(t){if(!this.attrs.data)return null;const n=this.pathLength;return t-1>n?null:Jh.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=Jh.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var s=0;s<o.length;s++){t.save();var a=o[s].p0;t.translate(a.x,a.y),t.rotate(o[s].rotation),this.partialText=o[s].text,t.fillStrokeShape(this),n==="underline"&&(s===0&&t.moveTo(0,i/2+1),t.lineTo(i,i/2+1)),t.restore()}n==="underline"&&(t.strokeStyle=r,t.lineWidth=i/20,t.stroke()),t.restore()}_hitFunc(t){t.beginPath();var n=this.glyphInfo;if(n.length>=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;i<n.length;i++){var o=n[i].p1;t.lineTo(o.x,o.y)}t.setAttr("lineWidth",this.fontSize()),t.setAttr("strokeStyle",this.colorKey),t.stroke()}getTextWidth(){return this.textWidth}getTextHeight(){return Vx.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}setText(t){return jx.Text.prototype.setText.call(this,t)}_getContextFont(){return jx.Text.prototype._getContextFont.call(this)}_getTextSize(t){var n=this.dummyCanvas,r=n.getContext("2d");r.save(),r.font=this._getContextFont();var i=r.measureText(t);return r.restore(),{width:i.width,height:parseInt(`${this.fontSize()}`,10)}}_setTextData(){const{width:t,height:n}=this._getTextSize(this.attrs.text);if(this.textWidth=t,this.textHeight=n,this.glyphInfo=[],!this.attrs.data)return null;const r=this.letterSpacing(),i=this.align(),o=this.kerningFunc(),s=Math.max(this.textWidth+((this.attrs.text||"").length-1)*r,0);let a=0;i==="center"&&(a=Math.max(0,this.pathLength/2-s/2)),i==="right"&&(a=Math.max(0,this.pathLength-s));const l=(0,jx.stringToArray)(this.text());let u=a;for(var d=0;d<l.length;d++){const f=this._getPointAtLength(u);if(!f)return;let p=this._getTextSize(l[d]).width+r;if(l[d]===" "&&i==="justify"){const b=this.text().split(" ").length-1;p+=(this.pathLength-s)/b}const g=this._getPointAtLength(u+p);if(!g)return;const m=Jh.Path.getLineLength(f.x,f.y,g.x,g.y);let v=0;if(o)try{v=o(l[d-1],l[d])*this.fontSize()}catch{v=0}f.x+=v,g.x+=v,this.textWidth+=v;const x=Jh.Path.getPointOnLine(v+m/2,f.x,f.y,g.x,g.y),_=Math.atan2(g.y-f.y,g.x-f.x);this.glyphInfo.push({transposeX:x.x,transposeY:x.y,text:l[d],rotation:_,p0:f,p1:g}),u+=p}}getSelfRect(){if(!this.glyphInfo.length)return{x:0,y:0,width:0,height:0};var t=[];this.glyphInfo.forEach(function(d){t.push(d.p0.x),t.push(d.p0.y),t.push(d.p1.x),t.push(d.p1.y)});for(var n=t[0]||0,r=t[0]||0,i=t[1]||0,o=t[1]||0,s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],n=Math.min(n,s),r=Math.max(r,s),i=Math.min(i,a),o=Math.max(o,a);var u=this.fontSize();return{x:n-u/2,y:i-u/2,width:r-n+u,height:o-i+u}}destroy(){return Vx.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}CS.TextPath=ir;ir.prototype._fillFunc=_z;ir.prototype._strokeFunc=bz;ir.prototype._fillFuncHit=_z;ir.prototype._strokeFuncHit=bz;ir.prototype.className="TextPath";ir.prototype._attrsAffectingSize=["text","fontSize","data"];(0,cwe._registerNode)(ir);is.Factory.addGetterSetter(ir,"data");is.Factory.addGetterSetter(ir,"fontFamily","Arial");is.Factory.addGetterSetter(ir,"fontSize",12,(0,yz.getNumberValidator)());is.Factory.addGetterSetter(ir,"fontStyle",vz);is.Factory.addGetterSetter(ir,"align","left");is.Factory.addGetterSetter(ir,"letterSpacing",0,(0,yz.getNumberValidator)());is.Factory.addGetterSetter(ir,"textBaseline","middle");is.Factory.addGetterSetter(ir,"fontVariant",vz);is.Factory.addGetterSetter(ir,"text",dwe);is.Factory.addGetterSetter(ir,"textDecoration",null);is.Factory.addGetterSetter(ir,"kerningFunc",null);var TS={};Object.defineProperty(TS,"__esModule",{value:!0});TS.Transformer=void 0;const zt=Sn,Ft=nt,ik=fn,fwe=rr,hwe=km,ok=jf,$o=rt,lu=ke,pwe=rt;var Sz="tr-konva",gwe=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${Sz}`).join(" "),sk="nodesRect",mwe=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],ywe={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const vwe="ontouchstart"in $o.Konva._global;function _we(e,t){if(e==="rotater")return"crosshair";t+=zt.Util.degToRad(ywe[e]||0);var n=(zt.Util.radToDeg(t)%360+360)%360;return zt.Util._inRange(n,315+22.5,360)||zt.Util._inRange(n,0,22.5)?"ns-resize":zt.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":zt.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":zt.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":zt.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":zt.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":zt.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":zt.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(zt.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var e_=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],ak=1e8;function bwe(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function wz(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function Swe(e,t){const n=bwe(e);return wz(e,t,n)}function wwe(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=$o.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class Ct extends ok.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(gwe,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return zt.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return Sz+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(zt.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(mwe.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(sk),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(sk,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=($o.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),d={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return wz(d,-$o.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-ak,y:-ak,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const d=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var f=[{x:d.x,y:d.y},{x:d.x+d.width,y:d.y},{x:d.x+d.width,y:d.y+d.height},{x:d.x,y:d.y+d.height}],p=u.getAbsoluteTransform();f.forEach(function(g){var m=p.point(g);n.push(m)})});const r=new zt.Transform;r.rotate(-$o.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var d=r.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:$o.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),e_.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new hwe.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:vwe?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=$o.Konva.getAngle(this.rotation()),o=_we(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new fwe.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*zt.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const d=o.getAbsolutePosition();if(!(u.x===d.x&&u.y===d.y)){if(this._movingAnchorName==="rotater"){var f=this._getNodeRect();n=o.x()-f.width/2,r=-o.y()+f.height/2;let U=Math.atan2(-r,n)+Math.PI/2;f.height<0&&(U-=Math.PI);var p=$o.Konva.getAngle(this.rotation());const A=p+U,N=$o.Konva.getAngle(this.rotationSnapTolerance()),B=wwe(this.rotationSnaps(),A,N)-f.rotation,D=Swe(f,B);this._fitNodesInto(D,t);return}var g=this.shiftBehavior(),m;g==="inverted"?m=this.keepRatio()&&!t.shiftKey:g==="none"?m=this.keepRatio():m=this.keepRatio()||t.shiftKey;var y=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(v.x-o.x(),2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-left").x()>v.x?-1:1,_=this.findOne(".top-left").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-left").x(v.x-n),this.findOne(".top-left").y(v.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-v.x,2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-right").x()<v.x?-1:1,_=this.findOne(".top-right").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-right").x(v.x+n),this.findOne(".top-right").y(v.y-r)}var b=o.position();this.findOne(".top-left").y(b.y),this.findOne(".bottom-right").x(b.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(v.x-o.x(),2)+Math.pow(o.y()-v.y,2));var x=v.x<o.x()?-1:1,_=o.y()<v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,o.x(v.x-n),o.y(v.y+r)}b=o.position(),this.findOne(".top-left").x(b.x),this.findOne(".bottom-right").y(b.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-v.x,2)+Math.pow(o.y()-v.y,2));var x=this.findOne(".bottom-right").x()<v.x?-1:1,_=this.findOne(".bottom-right").y()<v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".bottom-right").x(v.x+n),this.findOne(".bottom-right").y(v.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var y=this.centeredScaling()||t.altKey;if(y){var S=this.findOne(".top-left"),C=this.findOne(".bottom-right"),T=S.x(),E=S.y(),P=this.getWidth()-C.x(),k=this.getHeight()-C.y();C.move({x:-T,y:-E}),S.move({x:P,y:k})}var O=this.findOne(".top-left").getAbsolutePosition();n=O.x,r=O.y;var M=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),G=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:M,height:G,rotation:$o.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(zt.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(zt.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new zt.Transform;if(s.rotate($o.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const f=s.point({x:-this.padding()*2,y:0});if(t.x+=f.x,t.y+=f.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const f=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const f=s.point({x:0,y:-this.padding()*2});if(t.x+=f.x,t.y+=f.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const f=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const f=this.boundBoxFunc()(r,t);f?t=f:zt.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new zt.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new zt.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const d=u.multiply(l.invert());this._nodes.forEach(f=>{var p;const g=f.getParent().getAbsoluteTransform(),m=f.getTransform().copy();m.translate(f.offsetX(),f.offsetY());const v=new zt.Transform;v.multiply(g.copy().invert()).multiply(d).multiply(g).multiply(m);const x=v.decompose();f.setAttrs(x),this._fire("transform",{evt:n,target:f}),f._fire("transform",{evt:n,target:f}),(p=f.getLayer())===null||p===void 0||p.batchDraw()}),this.rotation(zt.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(zt.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(f=>{f.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*zt.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const d=this.anchorStyleFunc();d&&u.forEach(f=>{d(f)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),ok.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return ik.Node.prototype.toObject.call(this)}clone(t){var n=ik.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}TS.Transformer=Ct;function xwe(e){return e instanceof Array||zt.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){e_.indexOf(t)===-1&&zt.Util.warn("Unknown anchor name: "+t+". Available names are: "+e_.join(", "))}),e||[]}Ct.prototype.className="Transformer";(0,pwe._registerNode)(Ct);Ft.Factory.addGetterSetter(Ct,"enabledAnchors",e_,xwe);Ft.Factory.addGetterSetter(Ct,"flipEnabled",!0,(0,lu.getBooleanValidator)());Ft.Factory.addGetterSetter(Ct,"resizeEnabled",!0);Ft.Factory.addGetterSetter(Ct,"anchorSize",10,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"rotateEnabled",!0);Ft.Factory.addGetterSetter(Ct,"rotationSnaps",[]);Ft.Factory.addGetterSetter(Ct,"rotateAnchorOffset",50,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"rotationSnapTolerance",5,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderEnabled",!0);Ft.Factory.addGetterSetter(Ct,"anchorStroke","rgb(0, 161, 255)");Ft.Factory.addGetterSetter(Ct,"anchorStrokeWidth",1,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"anchorFill","white");Ft.Factory.addGetterSetter(Ct,"anchorCornerRadius",0,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderStroke","rgb(0, 161, 255)");Ft.Factory.addGetterSetter(Ct,"borderStrokeWidth",1,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderDash");Ft.Factory.addGetterSetter(Ct,"keepRatio",!0);Ft.Factory.addGetterSetter(Ct,"shiftBehavior","default");Ft.Factory.addGetterSetter(Ct,"centeredScaling",!1);Ft.Factory.addGetterSetter(Ct,"ignoreStroke",!1);Ft.Factory.addGetterSetter(Ct,"padding",0,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"node");Ft.Factory.addGetterSetter(Ct,"nodes");Ft.Factory.addGetterSetter(Ct,"boundBoxFunc");Ft.Factory.addGetterSetter(Ct,"anchorDragBoundFunc");Ft.Factory.addGetterSetter(Ct,"anchorStyleFunc");Ft.Factory.addGetterSetter(Ct,"shouldOverdrawWholeArea",!1);Ft.Factory.addGetterSetter(Ct,"useSingleNodeRotation",!0);Ft.Factory.backCompat(Ct,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var ES={};Object.defineProperty(ES,"__esModule",{value:!0});ES.Wedge=void 0;const AS=nt,Cwe=rr,Twe=rt,xz=ke,Ewe=rt;class za extends Cwe.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,Twe.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}ES.Wedge=za;za.prototype.className="Wedge";za.prototype._centroid=!0;za.prototype._attrsAffectingSize=["radius"];(0,Ewe._registerNode)(za);AS.Factory.addGetterSetter(za,"radius",0,(0,xz.getNumberValidator)());AS.Factory.addGetterSetter(za,"angle",0,(0,xz.getNumberValidator)());AS.Factory.addGetterSetter(za,"clockwise",!1);AS.Factory.backCompat(za,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var PS={};Object.defineProperty(PS,"__esModule",{value:!0});PS.Blur=void 0;const lk=nt,Awe=fn,Pwe=ke;function uk(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var Rwe=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],Owe=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function kwe(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,d,f,p,g,m,v,x,_,b,y,S,C,T,E,P,k,O,M,G,U=t+t+1,A=r-1,N=i-1,F=t+1,B=F*(F+1)/2,D=new uk,V=null,j=D,q=null,Z=null,ee=Rwe[t],ie=Owe[t];for(a=1;a<U;a++)j=j.next=new uk,a===F&&(V=j);for(j.next=D,f=d=0,s=0;s<i;s++){for(S=C=T=E=p=g=m=v=0,x=F*(P=n[d]),_=F*(k=n[d+1]),b=F*(O=n[d+2]),y=F*(M=n[d+3]),p+=B*P,g+=B*k,m+=B*O,v+=B*M,j=D,a=0;a<F;a++)j.r=P,j.g=k,j.b=O,j.a=M,j=j.next;for(a=1;a<F;a++)l=d+((A<a?A:a)<<2),p+=(j.r=P=n[l])*(G=F-a),g+=(j.g=k=n[l+1])*G,m+=(j.b=O=n[l+2])*G,v+=(j.a=M=n[l+3])*G,S+=P,C+=k,T+=O,E+=M,j=j.next;for(q=D,Z=V,o=0;o<r;o++)n[d+3]=M=v*ee>>ie,M!==0?(M=255/M,n[d]=(p*ee>>ie)*M,n[d+1]=(g*ee>>ie)*M,n[d+2]=(m*ee>>ie)*M):n[d]=n[d+1]=n[d+2]=0,p-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=f+((l=o+t+1)<A?l:A)<<2,S+=q.r=n[l],C+=q.g=n[l+1],T+=q.b=n[l+2],E+=q.a=n[l+3],p+=S,g+=C,m+=T,v+=E,q=q.next,x+=P=Z.r,_+=k=Z.g,b+=O=Z.b,y+=M=Z.a,S-=P,C-=k,T-=O,E-=M,Z=Z.next,d+=4;f+=r}for(o=0;o<r;o++){for(C=T=E=S=g=m=v=p=0,d=o<<2,x=F*(P=n[d]),_=F*(k=n[d+1]),b=F*(O=n[d+2]),y=F*(M=n[d+3]),p+=B*P,g+=B*k,m+=B*O,v+=B*M,j=D,a=0;a<F;a++)j.r=P,j.g=k,j.b=O,j.a=M,j=j.next;for(u=r,a=1;a<=t;a++)d=u+o<<2,p+=(j.r=P=n[d])*(G=F-a),g+=(j.g=k=n[d+1])*G,m+=(j.b=O=n[d+2])*G,v+=(j.a=M=n[d+3])*G,S+=P,C+=k,T+=O,E+=M,j=j.next,a<N&&(u+=r);for(d=o,q=D,Z=V,s=0;s<i;s++)l=d<<2,n[l+3]=M=v*ee>>ie,M>0?(M=255/M,n[l]=(p*ee>>ie)*M,n[l+1]=(g*ee>>ie)*M,n[l+2]=(m*ee>>ie)*M):n[l]=n[l+1]=n[l+2]=0,p-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=o+((l=s+F)<N?l:N)*r<<2,p+=S+=q.r=n[l],g+=C+=q.g=n[l+1],m+=T+=q.b=n[l+2],v+=E+=q.a=n[l+3],q=q.next,x+=P=Z.r,_+=k=Z.g,b+=O=Z.b,y+=M=Z.a,S-=P,C-=k,T-=O,E-=M,Z=Z.next,d+=r}}const Iwe=function(t){var n=Math.round(this.blurRadius());n>0&&kwe(t,n)};PS.Blur=Iwe;lk.Factory.addGetterSetter(Awe.Node,"blurRadius",0,(0,Pwe.getNumberValidator)(),lk.Factory.afterSetFilter);var RS={};Object.defineProperty(RS,"__esModule",{value:!0});RS.Brighten=void 0;const ck=nt,Mwe=fn,Nwe=ke,Lwe=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};RS.Brighten=Lwe;ck.Factory.addGetterSetter(Mwe.Node,"brightness",0,(0,Nwe.getNumberValidator)(),ck.Factory.afterSetFilter);var OS={};Object.defineProperty(OS,"__esModule",{value:!0});OS.Contrast=void 0;const dk=nt,Dwe=fn,$we=ke,Fwe=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};OS.Contrast=Fwe;dk.Factory.addGetterSetter(Dwe.Node,"contrast",0,(0,$we.getNumberValidator)(),dk.Factory.afterSetFilter);var kS={};Object.defineProperty(kS,"__esModule",{value:!0});kS.Emboss=void 0;const ql=nt,IS=fn,Bwe=Sn,Cz=ke,Uwe=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,d=l*4,f=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:Bwe.Util.error("Unknown emboss direction: "+r)}do{var p=(f-1)*d,g=o;f+g<1&&(g=0),f+g>u&&(g=0);var m=(f-1+g)*l*4,v=l;do{var x=p+(v-1)*4,_=s;v+_<1&&(_=0),v+_>l&&(_=0);var b=m+(v-1+_)*4,y=a[x]-a[b],S=a[x+1]-a[b+1],C=a[x+2]-a[b+2],T=y,E=T>0?T:-T,P=S>0?S:-S,k=C>0?C:-C;if(P>E&&(T=S),k>E&&(T=C),T*=t,i){var O=a[x]+T,M=a[x+1]+T,G=a[x+2]+T;a[x]=O>255?255:O<0?0:O,a[x+1]=M>255?255:M<0?0:M,a[x+2]=G>255?255:G<0?0:G}else{var U=n-T;U<0?U=0:U>255&&(U=255),a[x]=a[x+1]=a[x+2]=U}}while(--v)}while(--f)};kS.Emboss=Uwe;ql.Factory.addGetterSetter(IS.Node,"embossStrength",.5,(0,Cz.getNumberValidator)(),ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossWhiteLevel",.5,(0,Cz.getNumberValidator)(),ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossDirection","top-left",null,ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossBlend",!1,null,ql.Factory.afterSetFilter);var MS={};Object.defineProperty(MS,"__esModule",{value:!0});MS.Enhance=void 0;const fk=nt,zwe=fn,Vwe=ke;function Gx(e,t,n,r,i){var o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const jwe=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],d=u,f,p,g=this.enhance();if(g!==0){for(p=0;p<n;p+=4)o=t[p+0],o<r?r=o:o>i&&(i=o),l=t[p+1],l<s?s=l:l>a&&(a=l),f=t[p+2],f<u?u=f:f>d&&(d=f);i===r&&(i=255,r=0),a===s&&(a=255,s=0),d===u&&(d=255,u=0);var m,v,x,_,b,y,S,C,T;for(g>0?(v=i+g*(255-i),x=r-g*(r-0),b=a+g*(255-a),y=s-g*(s-0),C=d+g*(255-d),T=u-g*(u-0)):(m=(i+r)*.5,v=i+g*(i-m),x=r+g*(r-m),_=(a+s)*.5,b=a+g*(a-_),y=s+g*(s-_),S=(d+u)*.5,C=d+g*(d-S),T=u+g*(u-S)),p=0;p<n;p+=4)t[p+0]=Gx(t[p+0],r,i,x,v),t[p+1]=Gx(t[p+1],s,a,y,b),t[p+2]=Gx(t[p+2],u,d,T,C)}};MS.Enhance=jwe;fk.Factory.addGetterSetter(zwe.Node,"enhance",0,(0,Vwe.getNumberValidator)(),fk.Factory.afterSetFilter);var NS={};Object.defineProperty(NS,"__esModule",{value:!0});NS.Grayscale=void 0;const Gwe=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};NS.Grayscale=Gwe;var LS={};Object.defineProperty(LS,"__esModule",{value:!0});LS.HSL=void 0;const Of=nt,PE=fn,RE=ke;Of.Factory.addGetterSetter(PE.Node,"hue",0,(0,RE.getNumberValidator)(),Of.Factory.afterSetFilter);Of.Factory.addGetterSetter(PE.Node,"saturation",0,(0,RE.getNumberValidator)(),Of.Factory.afterSetFilter);Of.Factory.addGetterSetter(PE.Node,"luminance",0,(0,RE.getNumberValidator)(),Of.Factory.afterSetFilter);const Hwe=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s=this.luminance()*127,a,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),d=.299*r+.701*l+.167*u,f=.587*r-.587*l+.33*u,p=.114*r-.114*l-.497*u,g=.299*r-.299*l-.328*u,m=.587*r+.413*l+.035*u,v=.114*r-.114*l+.293*u,x=.299*r-.3*l+1.25*u,_=.587*r-.586*l-1.05*u,b=.114*r+.886*l-.2*u,y,S,C,T;for(a=0;a<n;a+=4)y=t[a+0],S=t[a+1],C=t[a+2],T=t[a+3],t[a+0]=d*y+f*S+p*C+s,t[a+1]=g*y+m*S+v*C+s,t[a+2]=x*y+_*S+b*C+s,t[a+3]=T};LS.HSL=Hwe;var DS={};Object.defineProperty(DS,"__esModule",{value:!0});DS.HSV=void 0;const kf=nt,OE=fn,kE=ke,Wwe=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,d=.587*r-.587*a+.33*l,f=.114*r-.114*a-.497*l,p=.299*r-.299*a-.328*l,g=.587*r+.413*a+.035*l,m=.114*r-.114*a+.293*l,v=.299*r-.3*a+1.25*l,x=.587*r-.586*a-1.05*l,_=.114*r+.886*a-.2*l,b,y,S,C;for(s=0;s<n;s+=4)b=t[s+0],y=t[s+1],S=t[s+2],C=t[s+3],t[s+0]=u*b+d*y+f*S,t[s+1]=p*b+g*y+m*S,t[s+2]=v*b+x*y+_*S,t[s+3]=C};DS.HSV=Wwe;kf.Factory.addGetterSetter(OE.Node,"hue",0,(0,kE.getNumberValidator)(),kf.Factory.afterSetFilter);kf.Factory.addGetterSetter(OE.Node,"saturation",0,(0,kE.getNumberValidator)(),kf.Factory.afterSetFilter);kf.Factory.addGetterSetter(OE.Node,"value",0,(0,kE.getNumberValidator)(),kf.Factory.afterSetFilter);var $S={};Object.defineProperty($S,"__esModule",{value:!0});$S.Invert=void 0;const qwe=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};$S.Invert=qwe;var FS={};Object.defineProperty(FS,"__esModule",{value:!0});FS.Kaleidoscope=void 0;const t_=nt,Tz=fn,hk=Sn,Ez=ke;var Kwe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,d,f,p=0,g=0,m=0,v=0,x,_=Math.sqrt(a*a+l*l);d=o-a,f=s-l,x=Math.sqrt(d*d+f*f),_=x>_?x:_;var b=s,y=o,S,C,T=360/y*Math.PI/180,E,P;for(C=0;C<y;C+=1)for(E=Math.sin(C*T),P=Math.cos(C*T),S=0;S<b;S+=1)d=Math.floor(a+_*S/b*P),f=Math.floor(l+_*S/b*E),u=(f*o+d)*4,p=r[u+0],g=r[u+1],m=r[u+2],v=r[u+3],u=(C+S*o)*4,i[u+0]=p,i[u+1]=g,i[u+2]=m,i[u+3]=v},Xwe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,d,f,p,g,m=0,v=0,x=0,_=0,b,y=Math.sqrt(a*a+l*l);d=o-a,f=s-l,b=Math.sqrt(d*d+f*f),y=b>y?b:y;var S=s,C=o,T,E,P=n.polarRotation||0,k,O;for(d=0;d<o;d+=1)for(f=0;f<s;f+=1)p=d-a,g=f-l,T=Math.sqrt(p*p+g*g)*S/y,E=(Math.atan2(g,p)*180/Math.PI+360+P)%360,E=E*C/360,k=Math.floor(E),O=Math.floor(T),u=(O*o+k)*4,m=r[u+0],v=r[u+1],x=r[u+2],_=r[u+3],u=(f*o+d)*4,i[u+0]=m,i[u+1]=v,i[u+2]=x,i[u+3]=_};const Ywe=function(e){var t=e.width,n=e.height,r,i,o,s,a,l,u,d,f,p,g=Math.round(this.kaleidoscopePower()),m=Math.round(this.kaleidoscopeAngle()),v=Math.floor(t*(m%360)/360);if(!(g<1)){var x=hk.Util.createCanvasElement();x.width=t,x.height=n;var _=x.getContext("2d").getImageData(0,0,t,n);hk.Util.releaseCanvas(x),Kwe(e,_,{polarCenterX:t/2,polarCenterY:n/2});for(var b=t/Math.pow(2,g);b<=8;)b=b*2,g-=1;b=Math.ceil(b);var y=b,S=0,C=y,T=1;for(v+b>t&&(S=y,C=0,T=-1),i=0;i<n;i+=1)for(r=S;r!==C;r+=T)o=Math.round(r+v)%t,f=(t*i+o)*4,a=_.data[f+0],l=_.data[f+1],u=_.data[f+2],d=_.data[f+3],p=(t*i+r)*4,_.data[p+0]=a,_.data[p+1]=l,_.data[p+2]=u,_.data[p+3]=d;for(i=0;i<n;i+=1)for(y=Math.floor(b),s=0;s<g;s+=1){for(r=0;r<y+1;r+=1)f=(t*i+r)*4,a=_.data[f+0],l=_.data[f+1],u=_.data[f+2],d=_.data[f+3],p=(t*i+y*2-r-1)*4,_.data[p+0]=a,_.data[p+1]=l,_.data[p+2]=u,_.data[p+3]=d;y*=2}Xwe(_,e,{polarRotation:0})}};FS.Kaleidoscope=Ywe;t_.Factory.addGetterSetter(Tz.Node,"kaleidoscopePower",2,(0,Ez.getNumberValidator)(),t_.Factory.afterSetFilter);t_.Factory.addGetterSetter(Tz.Node,"kaleidoscopeAngle",0,(0,Ez.getNumberValidator)(),t_.Factory.afterSetFilter);var BS={};Object.defineProperty(BS,"__esModule",{value:!0});BS.Mask=void 0;const pk=nt,Qwe=fn,Zwe=ke;function F0(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function ep(e,t){return Math.sqrt(Math.pow(e[0]-t[0],2)+Math.pow(e[1]-t[1],2)+Math.pow(e[2]-t[2],2))}function Jwe(e){for(var t=[0,0,0],n=0;n<e.length;n++)t[0]+=e[n][0],t[1]+=e[n][1],t[2]+=e[n][2];return t[0]/=e.length,t[1]/=e.length,t[2]/=e.length,t}function exe(e,t){var n=F0(e,0,0),r=F0(e,e.width-1,0),i=F0(e,0,e.height-1),o=F0(e,e.width-1,e.height-1),s=t||10;if(ep(n,r)<s&&ep(r,o)<s&&ep(o,i)<s&&ep(i,n)<s){for(var a=Jwe([r,n,o,i]),l=[],u=0;u<e.width*e.height;u++){var d=ep(a,[e.data[u*4],e.data[u*4+1],e.data[u*4+2]]);l[u]=d<s?0:255}return l}}function txe(e,t){for(var n=0;n<e.width*e.height;n++)e.data[4*n+3]=t[n]}function nxe(e,t,n){for(var r=[1,1,1,1,0,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d===255*8?255:0}return s}function rxe(e,t,n){for(var r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d>=255*4?255:0}return s}function ixe(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d}return s}const oxe=function(e){var t=this.threshold(),n=exe(e,t);return n&&(n=nxe(n,e.width,e.height),n=rxe(n,e.width,e.height),n=ixe(n,e.width,e.height),txe(e,n)),e};BS.Mask=oxe;pk.Factory.addGetterSetter(Qwe.Node,"threshold",0,(0,Zwe.getNumberValidator)(),pk.Factory.afterSetFilter);var US={};Object.defineProperty(US,"__esModule",{value:!0});US.Noise=void 0;const gk=nt,sxe=fn,axe=ke,lxe=function(e){var t=this.noise()*255,n=e.data,r=n.length,i=t/2,o;for(o=0;o<r;o+=4)n[o+0]+=i-2*i*Math.random(),n[o+1]+=i-2*i*Math.random(),n[o+2]+=i-2*i*Math.random()};US.Noise=lxe;gk.Factory.addGetterSetter(sxe.Node,"noise",.2,(0,axe.getNumberValidator)(),gk.Factory.afterSetFilter);var zS={};Object.defineProperty(zS,"__esModule",{value:!0});zS.Pixelate=void 0;const mk=nt,uxe=Sn,cxe=fn,dxe=ke,fxe=function(e){var t=Math.ceil(this.pixelSize()),n=e.width,r=e.height,i,o,s,a,l,u,d,f=Math.ceil(n/t),p=Math.ceil(r/t),g,m,v,x,_,b,y,S=e.data;if(t<=0){uxe.Util.error("pixelSize value can not be <= 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t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s,a;for(s=0;s<n;s+=4)a=(.34*t[s]+.5*t[s+1]+.16*t[s+2])/255,t[s]=a*r,t[s+1]=a*i,t[s+2]=a*o,t[s+3]=t[s+3]};jS.RGB=yxe;n_.Factory.addGetterSetter(IE.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});n_.Factory.addGetterSetter(IE.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});n_.Factory.addGetterSetter(IE.Node,"blue",0,mxe.RGBComponent,n_.Factory.afterSetFilter);var GS={};Object.defineProperty(GS,"__esModule",{value:!0});GS.RGBA=void 0;const Dg=nt,HS=fn,vxe=ke,_xe=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a<n;a+=4)l=1-s,t[a]=r*s+t[a]*l,t[a+1]=i*s+t[a+1]*l,t[a+2]=o*s+t[a+2]*l};GS.RGBA=_xe;Dg.Factory.addGetterSetter(HS.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Dg.Factory.addGetterSetter(HS.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Dg.Factory.addGetterSetter(HS.Node,"blue",0,vxe.RGBComponent,Dg.Factory.afterSetFilter);Dg.Factory.addGetterSetter(HS.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var WS={};Object.defineProperty(WS,"__esModule",{value:!0});WS.Sepia=void 0;const bxe=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r<n;r+=4)i=t[r+0],o=t[r+1],s=t[r+2],t[r+0]=Math.min(255,i*.393+o*.769+s*.189),t[r+1]=Math.min(255,i*.349+o*.686+s*.168),t[r+2]=Math.min(255,i*.272+o*.534+s*.131)};WS.Sepia=bxe;var qS={};Object.defineProperty(qS,"__esModule",{value:!0});qS.Solarize=void 0;const Sxe=function(e){var t=e.data,n=e.width,r=e.height,i=n*4,o=r;do{var s=(o-1)*i,a=n;do{var l=s+(a-1)*4,u=t[l],d=t[l+1],f=t[l+2];u>127&&(u=255-u),d>127&&(d=255-d),f>127&&(f=255-f),t[l]=u,t[l+1]=d,t[l+2]=f}while(--a)}while(--o)};qS.Solarize=Sxe;var KS={};Object.defineProperty(KS,"__esModule",{value:!0});KS.Threshold=void 0;const vk=nt,wxe=fn,xxe=ke,Cxe=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=1)n[i]=n[i]<t?0:255};KS.Threshold=Cxe;vk.Factory.addGetterSetter(wxe.Node,"threshold",.5,(0,xxe.getNumberValidator)(),vk.Factory.afterSetFilter);Object.defineProperty(rS,"__esModule",{value:!0});rS.Konva=void 0;const _k=WU,Txe=uS,Exe=fS,Axe=gS,Pxe=mS,Rxe=yS,bk=Rf,Oxe=Rm,kxe=Hf,Ixe=km,Mxe=bS,Nxe=SS,Lxe=wS,Dxe=xS,$xe=uc,Fxe=CS,Bxe=TS,Uxe=ES,zxe=PS,Vxe=RS,jxe=OS,Gxe=kS,Hxe=MS,Wxe=NS,qxe=LS,Kxe=DS,Xxe=$S,Yxe=FS,Qxe=BS,Zxe=US,Jxe=zS,eCe=VS,tCe=jS,nCe=GS,rCe=WS,iCe=qS,oCe=KS;rS.Konva=_k.Konva.Util._assign(_k.Konva,{Arc:Txe.Arc,Arrow:Exe.Arrow,Circle:Axe.Circle,Ellipse:Pxe.Ellipse,Image:Rxe.Image,Label:bk.Label,Tag:bk.Tag,Line:Oxe.Line,Path:kxe.Path,Rect:Ixe.Rect,RegularPolygon:Mxe.RegularPolygon,Ring:Nxe.Ring,Sprite:Lxe.Sprite,Star:Dxe.Star,Text:$xe.Text,TextPath:Fxe.TextPath,Transformer:Bxe.Transformer,Wedge:Uxe.Wedge,Filters:{Blur:zxe.Blur,Brighten:Vxe.Brighten,Contrast:jxe.Contrast,Emboss:Gxe.Emboss,Enhance:Hxe.Enhance,Grayscale:Wxe.Grayscale,HSL:qxe.HSL,HSV:Kxe.HSV,Invert:Xxe.Invert,Kaleidoscope:Yxe.Kaleidoscope,Mask:Qxe.Mask,Noise:Zxe.Noise,Pixelate:Jxe.Pixelate,Posterize:eCe.Posterize,RGB:tCe.RGB,RGBA:nCe.RGBA,Sepia:rCe.Sepia,Solarize:iCe.Solarize,Threshold:oCe.Threshold}});var sCe=vE.exports;Object.defineProperty(sCe,"__esModule",{value:!0});const aCe=rS;vE.exports=aCe.Konva;var lCe=vE.exports;const tp=dc(lCe),uCe=async(e,t,n)=>{const{width:r,height:i}=t,o=document.createElement("div"),s=new tp.Stage({container:o,width:r,height:i}),a=new tp.Layer,l=new tp.Layer;return a.add(new tp.Rect({...t,fill:n?"black":"white"})),e.forEach(u=>l.add(new tp.Line({points:u.points,stroke:n?"white":"black",strokeWidth:u.strokeWidth*2,tension:0,lineCap:"round",lineJoin:"round",shadowForStrokeEnabled:!1,globalCompositeOperation:u.tool==="brush"?"source-over":"destination-out"}))),s.add(a),s.add(l),o.remove(),s},cCe=async(e,t,n)=>new Promise((r,i)=>{const o=document.createElement("canvas");o.width=t,o.height=n;const s=o.getContext("2d"),a=new Image;if(!s){o.remove(),i("Unable to get context");return}a.onload=function(){s.drawImage(a,0,0),o.remove(),r(s.getImageData(0,0,t,n))},a.src=e}),Sk=async(e,t)=>{const n=e.toDataURL(t);return await cCe(n,t.width,t.height)},dCe=async(e,t,n,r,i)=>{const o=Ie("canvas"),s=nS(),a=x_e();if(!s||!a){o.error("Unable to find canvas / stage");return}const l={...t,...n},u=s.clone();u.scale({x:1,y:1});const d=u.getAbsolutePosition(),f={x:l.x+d.x,y:l.y+d.y,width:l.width,height:l.height},p=await Q1(u,f),g=await Sk(u,f),m=await uCe(r?e.objects.filter(o$):[],l,i),v=await Q1(m,l),x=await Sk(m,l);return{baseBlob:p,baseImageData:g,maskBlob:v,maskImageData:x}},fCe=e=>{let t=!0,n=!1;const r=e.length;let i=3;for(i;i<r;i+=4)if(e[i]===255?t=!1:n=!0,!t&&n)return{isFullyTransparent:t,isPartiallyTransparent:n};return{isFullyTransparent:t,isPartiallyTransparent:n}},hCe=e=>{const t=e.length;let n=0;for(n;n<t;)if(e[n++]===0&&e[n++]===0&&e[n++]===0&&e[n++]===255)return!0;return!1},pCe=(e,t)=>{const{isPartiallyTransparent:n,isFullyTransparent:r}=fCe(e.data),i=hCe(t.data);return 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this.opts.extraHeaders)this.opts.extraHeaders.hasOwnProperty(i)&&r.setRequestHeader(i,this.opts.extraHeaders[i])}}catch{}if(this.method==="POST")try{r.setRequestHeader("Content-type","text/plain;charset=UTF-8")}catch{}try{r.setRequestHeader("Accept","*/*")}catch{}(t=this.opts.cookieJar)===null||t===void 0||t.addCookies(r),"withCredentials"in r&&(r.withCredentials=this.opts.withCredentials),this.opts.requestTimeout&&(r.timeout=this.opts.requestTimeout),r.onreadystatechange=()=>{var i;r.readyState===3&&((i=this.opts.cookieJar)===null||i===void 0||i.parseCookies(r)),r.readyState===4&&(r.status===200||r.status===1223?this.onLoad():this.setTimeoutFn(()=>{this.onError(typeof r.status=="number"?r.status:0)},0))},r.send(this.data)}catch(i){this.setTimeoutFn(()=>{this.onError(i)},0);return}typeof document<"u"&&(this.index=wv.requestsCount++,wv.requests[this.index]=this)}onError(t){this.emitReserved("error",t,this.xhr),this.cleanup(!0)}cleanup(t){if(!(typeof this.xhr>"u"||this.xhr===null)){if(this.xhr.onreadystatechange=s3e,t)try{this.xhr.abort()}catch{}typeof document<"u"&&delete wv.requests[this.index],this.xhr=null}}onLoad(){const t=this.xhr.responseText;t!==null&&(this.emitReserved("data",t),this.emitReserved("success"),this.cleanup())}abort(){this.cleanup()}};af.requestsCount=0;af.requests={};if(typeof document<"u"){if(typeof attachEvent=="function")attachEvent("onunload",Rk);else if(typeof addEventListener=="function"){const e="onpagehide"in yo?"pagehide":"unload";addEventListener(e,Rk,!1)}}function Rk(){for(let e in af.requests)af.requests.hasOwnProperty(e)&&af.requests[e].abort()}const DE=(()=>typeof Promise=="function"&&typeof Promise.resolve=="function"?t=>Promise.resolve().then(t):(t,n)=>n(t,0))(),z0=yo.WebSocket||yo.MozWebSocket,Ok=!0,u3e="arraybuffer",kk=typeof navigator<"u"&&typeof navigator.product=="string"&&navigator.product.toLowerCase()==="reactnative";class c3e extends LE{constructor(t){super(t),this.supportsBinary=!t.forceBase64}get name(){return"websocket"}doOpen(){if(!this.check())return;const t=this.uri(),n=this.opts.protocols,r=kk?{}:$z(this.opts,"agent","perMessageDeflate","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","localAddress","protocolVersion","origin","maxPayload","family","checkServerIdentity");this.opts.extraHeaders&&(r.headers=this.opts.extraHeaders);try{this.ws=Ok&&!kk?n?new z0(t,n):new z0(t):new z0(t,n,r)}catch(i){return this.emitReserved("error",i)}this.ws.binaryType=this.socket.binaryType||u3e,this.addEventListeners()}addEventListeners(){this.ws.onopen=()=>{this.opts.autoUnref&&this.ws._socket.unref(),this.onOpen()},this.ws.onclose=t=>this.onClose({description:"websocket connection closed",context:t}),this.ws.onmessage=t=>this.onData(t.data),this.ws.onerror=t=>this.onError("websocket error",t)}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;ME(r,this.supportsBinary,o=>{const s={};try{Ok&&this.ws.send(o)}catch{}i&&DE(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){typeof this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){const t=this.opts.secure?"wss":"ws",n=this.query||{};return this.opts.timestampRequests&&(n[this.opts.timestampParam]=Bz()),this.supportsBinary||(n.b64=1),this.createUri(t,n)}check(){return!!z0}}function d3e(e,t){return e.type==="message"&&typeof e.data!="string"&&t[0]>=48&&t[0]<=54}class f3e extends LE{get name(){return"webtransport"}doOpen(){typeof WebTransport=="function"&&(this.transport=new WebTransport(this.createUri("https"),this.opts.transportOptions[this.name]),this.transport.closed.then(()=>{this.onClose()}).catch(t=>{this.onError("webtransport error",t)}),this.transport.ready.then(()=>{this.transport.createBidirectionalStream().then(t=>{const n=t.readable.getReader();this.writer=t.writable.getWriter();let r;const i=()=>{n.read().then(({done:s,value:a})=>{s||(!r&&a.byteLength===1&&a[0]===54?r=!0:(this.onPacket(KCe(a,r,"arraybuffer")),r=!1),i())}).catch(s=>{})};i();const o=this.query.sid?`0{"sid":"${this.query.sid}"}`:"0";this.writer.write(new TextEncoder().encode(o)).then(()=>this.onOpen())})}))}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;VCe(r,o=>{d3e(r,o)&&this.writer.write(Uint8Array.of(54)),this.writer.write(o).then(()=>{i&&DE(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})})}}doClose(){var t;(t=this.transport)===null||t===void 0||t.close()}}const h3e={websocket:c3e,webtransport:f3e,polling:l3e},p3e=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,g3e=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function p5(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=p3e.exec(e||""),o={},s=14;for(;s--;)o[g3e[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=m3e(o,o.path),o.queryKey=y3e(o,o.query),o}function m3e(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function y3e(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let Vz=class Sd extends Hn{constructor(t,n={}){super(),this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=p5(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=p5(n.host).host),YS(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=n3e(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=Dz,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new h3e[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Sd.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;Sd.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",f=>{if(!r)if(f.type==="pong"&&f.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;Sd.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(d(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const p=new Error("probe error");p.transport=n.name,this.emitReserved("upgradeError",p)}}))};function o(){r||(r=!0,d(),n.close(),n=null)}const s=f=>{const p=new Error("probe error: "+f);p.transport=n.name,o(),this.emitReserved("upgradeError",p)};function a(){s("transport closed")}function l(){s("socket closed")}function u(f){n&&f.name!==n.name&&o()}const d=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",Sd.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=JCe(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){Sd.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};Vz.protocol=Dz;function v3e(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=p5(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const _3e=typeof ArrayBuffer=="function",b3e=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,jz=Object.prototype.toString,S3e=typeof Blob=="function"||typeof Blob<"u"&&jz.call(Blob)==="[object BlobConstructor]",w3e=typeof File=="function"||typeof File<"u"&&jz.call(File)==="[object FileConstructor]";function $E(e){return _3e&&(e instanceof ArrayBuffer||b3e(e))||S3e&&e instanceof Blob||w3e&&e instanceof File}function xv(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(xv(e[n]))return!0;return!1}if($E(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return xv(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&xv(e[n]))return!0;return!1}function x3e(e){const t=[],n=e.data,r=e;return r.data=g5(n,t),r.attachments=t.length,{packet:r,buffers:t}}function g5(e,t){if(!e)return e;if($E(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=g5(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=g5(e[r],t));return n}return e}function C3e(e,t){return e.data=m5(e.data,t),delete e.attachments,e}function m5(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=m5(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=m5(e[n],t));return e}const T3e=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],E3e=5;var pt;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(pt||(pt={}));class A3e{constructor(t){this.replacer=t}encode(t){return(t.type===pt.EVENT||t.type===pt.ACK)&&xv(t)?this.encodeAsBinary({type:t.type===pt.EVENT?pt.BINARY_EVENT:pt.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===pt.BINARY_EVENT||t.type===pt.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=x3e(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function Ik(e){return Object.prototype.toString.call(e)==="[object Object]"}class FE extends Hn{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===pt.BINARY_EVENT;r||n.type===pt.BINARY_ACK?(n.type=r?pt.EVENT:pt.ACK,this.reconstructor=new P3e(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if($E(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(pt[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===pt.BINARY_EVENT||r.type===pt.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(FE.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case pt.CONNECT:return Ik(n);case pt.DISCONNECT:return n===void 0;case pt.CONNECT_ERROR:return typeof n=="string"||Ik(n);case pt.EVENT:case pt.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&T3e.indexOf(n[0])===-1);case pt.ACK:case pt.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class P3e{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=C3e(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const R3e=Object.freeze(Object.defineProperty({__proto__:null,Decoder:FE,Encoder:A3e,get PacketType(){return pt},protocol:E3e},Symbol.toStringTag,{value:"Module"}));function zo(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const O3e=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class Gz extends Hn{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[zo(t,"open",this.onopen.bind(this)),zo(t,"packet",this.onpacket.bind(this)),zo(t,"error",this.onerror.bind(this)),zo(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(O3e.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:pt.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:pt.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case pt.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case pt.EVENT:case pt.BINARY_EVENT:this.onevent(t);break;case pt.ACK:case pt.BINARY_ACK:this.onack(t);break;case pt.DISCONNECT:this.ondisconnect();break;case pt.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:pt.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:pt.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const n=this._anyOutgoingListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const n=this._anyOutgoingListeners.slice();for(const r of n)r.apply(this,t.data)}}}function Kf(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}Kf.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),n=Math.floor(t*this.jitter*e);e=Math.floor(t*10)&1?e+n:e-n}return Math.min(e,this.max)|0};Kf.prototype.reset=function(){this.attempts=0};Kf.prototype.setMin=function(e){this.ms=e};Kf.prototype.setMax=function(e){this.max=e};Kf.prototype.setJitter=function(e){this.jitter=e};class y5 extends Hn{constructor(t,n){var r;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(n=t,t=void 0),n=n||{},n.path=n.path||"/socket.io",this.opts=n,YS(this,n),this.reconnection(n.reconnection!==!1),this.reconnectionAttempts(n.reconnectionAttempts||1/0),this.reconnectionDelay(n.reconnectionDelay||1e3),this.reconnectionDelayMax(n.reconnectionDelayMax||5e3),this.randomizationFactor((r=n.randomizationFactor)!==null&&r!==void 0?r:.5),this.backoff=new Kf({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(n.timeout==null?2e4:n.timeout),this._readyState="closed",this.uri=t;const i=n.parser||R3e;this.encoder=new i.Encoder,this.decoder=new i.Decoder,this._autoConnect=n.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var n;return t===void 0?this._reconnectionDelay:(this._reconnectionDelay=t,(n=this.backoff)===null||n===void 0||n.setMin(t),this)}randomizationFactor(t){var n;return t===void 0?this._randomizationFactor:(this._randomizationFactor=t,(n=this.backoff)===null||n===void 0||n.setJitter(t),this)}reconnectionDelayMax(t){var n;return t===void 0?this._reconnectionDelayMax:(this._reconnectionDelayMax=t,(n=this.backoff)===null||n===void 0||n.setMax(t),this)}timeout(t){return arguments.length?(this._timeout=t,this):this._timeout}maybeReconnectOnOpen(){!this._reconnecting&&this._reconnection&&this.backoff.attempts===0&&this.reconnect()}open(t){if(~this._readyState.indexOf("open"))return this;this.engine=new Vz(this.uri,this.opts);const n=this.engine,r=this;this._readyState="opening",this.skipReconnect=!1;const i=zo(n,"open",function(){r.onopen(),t&&t()}),o=a=>{this.cleanup(),this._readyState="closed",this.emitReserved("error",a),t?t(a):this.maybeReconnectOnOpen()},s=zo(n,"error",o);if(this._timeout!==!1){const a=this._timeout,l=this.setTimeoutFn(()=>{i(),o(new Error("timeout")),n.close()},a);this.opts.autoUnref&&l.unref(),this.subs.push(()=>{this.clearTimeoutFn(l)})}return this.subs.push(i),this.subs.push(s),this}connect(t){return this.open(t)}onopen(){this.cleanup(),this._readyState="open",this.emitReserved("open");const t=this.engine;this.subs.push(zo(t,"ping",this.onping.bind(this)),zo(t,"data",this.ondata.bind(this)),zo(t,"error",this.onerror.bind(this)),zo(t,"close",this.onclose.bind(this)),zo(this.decoder,"decoded",this.ondecoded.bind(this)))}onping(){this.emitReserved("ping")}ondata(t){try{this.decoder.add(t)}catch(n){this.onclose("parse error",n)}}ondecoded(t){DE(()=>{this.emitReserved("packet",t)},this.setTimeoutFn)}onerror(t){this.emitReserved("error",t)}socket(t,n){let r=this.nsps[t];return r?this._autoConnect&&!r.active&&r.connect():(r=new Gz(this,t,n),this.nsps[t]=r),r}_destroy(t){const n=Object.keys(this.nsps);for(const r of n)if(this.nsps[r].active)return;this._close()}_packet(t){const n=this.encoder.encode(t);for(let r=0;r<n.length;r++)this.engine.write(n[r],t.options)}cleanup(){this.subs.forEach(t=>t()),this.subs.length=0,this.decoder.destroy()}_close(){this.skipReconnect=!0,this._reconnecting=!1,this.onclose("forced close"),this.engine&&this.engine.close()}disconnect(){return this._close()}onclose(t,n){this.cleanup(),this.backoff.reset(),this._readyState="closed",this.emitReserved("close",t,n),this._reconnection&&!this.skipReconnect&&this.reconnect()}reconnect(){if(this._reconnecting||this.skipReconnect)return this;const t=this;if(this.backoff.attempts>=this._reconnectionAttempts)this.backoff.reset(),this.emitReserved("reconnect_failed"),this._reconnecting=!1;else{const n=this.backoff.duration();this._reconnecting=!0;const r=this.setTimeoutFn(()=>{t.skipReconnect||(this.emitReserved("reconnect_attempt",t.backoff.attempts),!t.skipReconnect&&t.open(i=>{i?(t._reconnecting=!1,t.reconnect(),this.emitReserved("reconnect_error",i)):t.onreconnect()}))},n);this.opts.autoUnref&&r.unref(),this.subs.push(()=>{this.clearTimeoutFn(r)})}}onreconnect(){const t=this.backoff.attempts;this._reconnecting=!1,this.backoff.reset(),this.emitReserved("reconnect",t)}}const np={};function Cv(e,t){typeof e=="object"&&(t=e,e=void 0),t=t||{};const n=v3e(e,t.path||"/socket.io"),r=n.source,i=n.id,o=n.path,s=np[i]&&o in np[i].nsps,a=t.forceNew||t["force new connection"]||t.multiplex===!1||s;let l;return a?l=new y5(r,t):(np[i]||(np[i]=new y5(r,t)),l=np[i]),n.query&&!t.query&&(t.query=n.queryKey),l.socket(n.path,t)}Object.assign(Cv,{Manager:y5,Socket:Gz,io:Cv,connect:Cv});const Mk=()=>{let e=!1,n=`${window.location.protocol==="https:"?"wss":"ws"}://${window.location.host}`;const 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r=this.isDragging;if(this.cancel(),!r)return;const{velocity:i}=n;this.startAnimation(i);const{onDragEnd:o}=this.getProps();o&&dn.update(()=>o(t,n))}cancel(){this.isDragging=!1;const{projection:t,animationState:n}=this.visualElement;t&&(t.isAnimationBlocked=!1),this.panSession&&this.panSession.end(),this.panSession=void 0;const{dragPropagation:r}=this.getProps();!r&&this.openGlobalLock&&(this.openGlobalLock(),this.openGlobalLock=null),n&&n.setActive("whileDrag",!1)}updateAxis(t,n,r){const{drag:i}=this.getProps();if(!r||!q0(t,i,this.currentDirection))return;const o=this.getAxisMotionValue(t);let s=this.originPoint[t]+r[t];this.constraints&&this.constraints[t]&&(s=Y6e(s,this.constraints[t],this.elastic[t])),o.set(s)}resolveConstraints(){const{dragConstraints:t,dragElastic:n}=this.getProps(),{layout:r}=this.visualElement.projection||{},i=this.constraints;t&&$d(t)?this.constraints||(this.constraints=this.resolveRefConstraints()):t&&r?this.constraints=Q6e(r.layoutBox,t):this.constraints=!1,this.elastic=tAe(n),i!==this.constraints&&r&&this.constraints&&!this.hasMutatedConstraints&&ps(o=>{this.getAxisMotionValue(o)&&(this.constraints[o]=eAe(r.layoutBox[o],this.constraints[o]))})}resolveRefConstraints(){const{dragConstraints:t,onMeasureDragConstraints:n}=this.getProps();if(!t||!$d(t))return!1;const r=t.current,{projection:i}=this.visualElement;if(!i||!i.layout)return!1;const o=aAe(r,i.root,this.visualElement.getTransformPagePoint());let s=Z6e(i.layout.layoutBox,o);if(n){const a=n(nAe(s));this.hasMutatedConstraints=!!a,a&&(s=xj(a))}return 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0)||0)}snapToCursor(t){ps(n=>{const{drag:r}=this.getProps();if(!q0(n,r,this.currentDirection))return;const{projection:i}=this.visualElement,o=this.getAxisMotionValue(n);if(i&&i.layout){const{min:s,max:a}=i.layout.layoutBox[n];o.set(t[n]-vn(s,a,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!$d(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};ps(s=>{const a=this.getAxisMotionValue(s);if(a){const l=a.get();i[s]=J6e({min:l,max:l},this.constraints[s])}});const{transformTemplate:o}=this.visualElement.getProps();this.visualElement.current.style.transform=o?o({},""):"none",r.root&&r.root.updateScroll(),r.updateLayout(),this.resolveConstraints(),ps(s=>{if(!q0(s,t,null))return;const a=this.getAxisMotionValue(s),{min:l,max:u}=this.constraints[s];a.set(vn(l,u,i[s]))})}addListeners(){if(!this.visualElement.current)return;lAe.set(this.visualElement,this);const t=this.visualElement.current,n=wa(t,"pointerdown",l=>{const{drag:u,dragListener:d=!0}=this.getProps();u&&d&&this.start(l)}),r=()=>{const{dragConstraints:l}=this.getProps();$d(l)&&(this.constraints=this.resolveRefConstraints())},{projection:i}=this.visualElement,o=i.addEventListener("measure",r);i&&!i.layout&&(i.root&&i.root.updateScroll(),i.updateLayout()),r();const s=ya(window,"resize",()=>this.scalePositionWithinConstraints()),a=i.addEventListener("didUpdate",({delta:l,hasLayoutChanged:u})=>{this.isDragging&&u&&(ps(d=>{const f=this.getAxisMotionValue(d);f&&(this.originPoint[d]+=l[d].translate,f.set(f.get()+l[d].translate))}),this.visualElement.render())});return()=>{s(),n(),o(),a&&a()}}getProps(){const t=this.visualElement.getProps(),{drag:n=!1,dragDirectionLock:r=!1,dragPropagation:i=!1,dragConstraints:o=!1,dragElastic:s=L5,dragMomentum:a=!0}=t;return{...t,drag:n,dragDirectionLock:r,dragPropagation:i,dragConstraints:o,dragElastic:s,dragMomentum:a}}}function q0(e,t,n){return(t===!0||t===e)&&(n===null||n===e)}function cAe(e,t=10){let n=null;return Math.abs(e.y)>t?n="y":Math.abs(e.x)>t&&(n="x"),n}class dAe extends uu{constructor(t){super(t),this.removeGroupControls=Gn,this.removeListeners=Gn,this.controls=new uAe(t)}mount(){const{dragControls:t}=this.node.getProps();t&&(this.removeGroupControls=t.subscribe(this.controls)),this.removeListeners=this.controls.addListeners()||Gn}unmount(){this.removeGroupControls(),this.removeListeners()}}const II=e=>(t,n)=>{e&&dn.update(()=>e(t,n))};class fAe extends uu{constructor(){super(...arguments),this.removePointerDownListener=Gn}onPointerDown(t){this.session=new Sj(t,this.createPanHandlers(),{transformPagePoint:this.node.getTransformPagePoint()})}createPanHandlers(){const{onPanSessionStart:t,onPanStart:n,onPan:r,onPanEnd:i}=this.node.getProps();return{onSessionStart:II(t),onStart:II(n),onMove:r,onEnd:(o,s)=>{delete 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TAe{constructor(){this.members=[]}add(t){c6(this.members,t),t.scheduleRender()}remove(t){if(d6(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function jI(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) `),(t.x!==1||t.y!==1)&&(r+=`scale(${1/t.x}, ${1/t.y}) `),n){const{rotate:l,rotateX:u,rotateY:d}=n;l&&(r+=`rotate(${l}deg) `),u&&(r+=`rotateX(${u}deg) `),d&&(r+=`rotateY(${d}deg) `)}const s=e.x.scale*t.x,a=e.y.scale*t.y;return(s!==1||a!==1)&&(r+=`scale(${s}, ${a})`),r||"none"}const EAe=(e,t)=>e.depth-t.depth;class AAe{constructor(){this.children=[],this.isDirty=!1}add(t){c6(this.children,t),this.isDirty=!0}remove(t){d6(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(EAe),this.isDirty=!1,this.children.forEach(t)}}function PAe(e,t){const n=performance.now(),r=({timestamp:i})=>{const o=i-n;o>=t&&(Ia(r),e(o-t))};return dn.read(r,!0),()=>Ia(r)}function RAe(e){window.MotionDebug&&window.MotionDebug.record(e)}function OAe(e){return e instanceof SVGElement&&e.tagName!=="svg"}function kAe(e,t,n){const r=ki(e)?e:Mf(e);return r.start(u6("",r,t,n)),r.animation}const GI=["","X","Y","Z"],HI=1e3;let IAe=0;const Ou={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function kj({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(s={},a=t==null?void 0:t()){this.id=IAe++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Ou.totalNodes=Ou.resolvedTargetDeltas=Ou.recalculatedProjection=0,this.nodes.forEach(LAe),this.nodes.forEach(UAe),this.nodes.forEach(zAe),this.nodes.forEach(DAe),RAe(Ou)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new AAe)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new f6),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=OAe(s),this.instance=s;const{layoutId:l,layout:u,visualElement:d}=this.options;if(d&&!d.current&&d.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let f;const p=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,f&&f(),f=PAe(p,250),kv.hasAnimatedSinceResize&&(kv.hasAnimatedSinceResize=!1,this.nodes.forEach(qI))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&d&&(l||u)&&this.addEventListener("didUpdate",({delta:f,hasLayoutChanged:p,hasRelativeTargetChanged:g,layout:m})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const v=this.options.transition||d.getDefaultTransition()||WAe,{onLayoutAnimationStart:x,onLayoutAnimationComplete:_}=d.getProps(),b=!this.targetLayout||!F5(this.targetLayout,m)||g,y=!p&&g;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||y||p&&(b||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(f,y);const S={...yj(v,"layout"),onPlay:x,onComplete:_};(d.shouldReduceMotion||this.options.layoutRoot)&&(S.delay=0,S.type=!1),this.startAnimation(S)}else p||qI(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=m})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,Ia(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(VAe),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let d=0;d<this.path.length;d++){const f=this.path[d];f.shouldResetTransform=!0,f.updateScroll("snapshot"),f.options.layoutRoot&&f.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(WI);return}this.isUpdating||this.nodes.forEach(FAe),this.isUpdating=!1,this.nodes.forEach(BAe),this.nodes.forEach(MAe),this.nodes.forEach(NAe),this.clearAllSnapshots();const a=performance.now();zr.delta=Kl(0,1e3/60,a-zr.timestamp),zr.timestamp=a,zr.isProcessing=!0,Yx.update.process(zr),Yx.preRender.process(zr),Yx.render.process(zr),zr.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach($Ae),this.sharedNodes.forEach(jAe)}scheduleUpdateProjection(){dn.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){dn.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=Bn(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!Oj(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,d=u!==this.prevTransformTemplateValue;s&&(a||Ru(this.latestValues)||d)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),qAe(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return Bn();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(fl(a.x,l.offset.x),fl(a.y,l.offset.y)),a}removeElementScroll(s){const a=Bn();fo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:d,options:f}=u;if(u!==this.root&&d&&f.layoutScroll){if(d.isRoot){fo(a,s);const{scroll:p}=this.root;p&&(fl(a.x,-p.offset.x),fl(a.y,-p.offset.y))}fl(a.x,d.offset.x),fl(a.y,d.offset.y)}}return a}applyTransform(s,a=!1){const l=Bn();fo(l,s);for(let u=0;u<this.path.length;u++){const d=this.path[u];!a&&d.options.layoutScroll&&d.scroll&&d!==d.root&&Ud(l,{x:-d.scroll.offset.x,y:-d.scroll.offset.y}),Ru(d.latestValues)&&Ud(l,d.latestValues)}return Ru(this.latestValues)&&Ud(l,this.latestValues),l}removeTransform(s){const a=Bn();fo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!Ru(u.latestValues))continue;D5(u.latestValues)&&u.updateSnapshot();const d=Bn(),f=u.measurePageBox();fo(d,f),UI(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,d)}return Ru(this.latestValues)&&UI(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==zr.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:f,layoutId:p}=this.options;if(!(!this.layout||!(f||p))){if(this.resolvedRelativeTargetAt=zr.timestamp,!this.targetDelta&&!this.relativeTarget){const g=this.getClosestProjectingParent();g&&g.layout&&this.animationProgress!==1?(this.relativeParent=g,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Bn(),this.relativeTargetOrigin=Bn(),Mp(this.relativeTargetOrigin,this.layout.layoutBox,g.layout.layoutBox),fo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=Bn(),this.targetWithTransforms=Bn()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),X6e(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):fo(this.target,this.layout.layoutBox),Tj(this.target,this.targetDelta)):fo(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const g=this.getClosestProjectingParent();g&&!!g.resumingFrom==!!this.resumingFrom&&!g.options.layoutScroll&&g.target&&this.animationProgress!==1?(this.relativeParent=g,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Bn(),this.relativeTargetOrigin=Bn(),Mp(this.relativeTargetOrigin,this.target,g.target),fo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Ou.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||D5(this.parent.latestValues)||Cj(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===zr.timestamp&&(u=!1),u)return;const{layout:d,layoutId:f}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(d||f))return;fo(this.layoutCorrected,this.layout.layoutBox);const p=this.treeScale.x,g=this.treeScale.y;iAe(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:m}=a;if(!m){this.projectionTransform&&(this.projectionDelta=Bd(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=Bd(),this.projectionDeltaWithTransform=Bd());const v=this.projectionTransform;Ip(this.projectionDelta,this.layoutCorrected,m,this.latestValues),this.projectionTransform=jI(this.projectionDelta,this.treeScale),(this.projectionTransform!==v||this.treeScale.x!==p||this.treeScale.y!==g)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",m)),Ou.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},d={...this.latestValues},f=Bd();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const p=Bn(),g=l?l.source:void 0,m=this.layout?this.layout.source:void 0,v=g!==m,x=this.getStack(),_=!x||x.members.length<=1,b=!!(v&&!_&&this.options.crossfade===!0&&!this.path.some(HAe));this.animationProgress=0;let y;this.mixTargetDelta=S=>{const C=S/1e3;KI(f.x,s.x,C),KI(f.y,s.y,C),this.setTargetDelta(f),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Mp(p,this.layout.layoutBox,this.relativeParent.layout.layoutBox),GAe(this.relativeTarget,this.relativeTargetOrigin,p,C),y&&F5(this.relativeTarget,y)&&(this.isProjectionDirty=!1),y||(y=Bn()),fo(y,this.relativeTarget)),v&&(this.animationValues=d,_Ae(d,u,this.latestValues,C,b,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=C},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(Ia(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=dn.update(()=>{kv.hasAnimatedSinceResize=!0,this.currentAnimation=kAe(0,HI,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(HI),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:d}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&Ij(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Bn();const f=Xi(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+f;const p=Xi(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+p}fo(a,l),Ud(a,d),Ip(this.projectionDeltaWithTransform,this.layoutCorrected,a,d)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new TAe),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let d=0;d<GI.length;d++){const f="rotate"+GI[d];l[f]&&(u[f]=l[f],s.setStaticValue(f,0))}s.render();for(const d in u)s.setStaticValue(d,u[d]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const d=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=Ov(s.pointerEvents)||"",u.transform=d?d(this.latestValues,""):"none",u;const f=this.getLead();if(!this.projectionDelta||!this.layout||!f.target){const v={};return this.options.layoutId&&(v.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,v.pointerEvents=Ov(s.pointerEvents)||""),this.hasProjected&&!Ru(this.latestValues)&&(v.transform=d?d({},""):"none",this.hasProjected=!1),v}const p=f.animationValues||f.latestValues;this.applyTransformsToTarget(),u.transform=jI(this.projectionDeltaWithTransform,this.treeScale,p),d&&(u.transform=d(p,u.transform));const{x:g,y:m}=this.projectionDelta;u.transformOrigin=`${g.origin*100}% ${m.origin*100}% 0`,f.animationValues?u.opacity=f===this?(l=(a=p.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:p.opacityExit:u.opacity=f===this?p.opacity!==void 0?p.opacity:"":p.opacityExit!==void 0?p.opacityExit:0;for(const v in l_){if(p[v]===void 0)continue;const{correct:x,applyTo:_}=l_[v],b=u.transform==="none"?p[v]:x(p[v],f);if(_){const y=_.length;for(let S=0;S<y;S++)u[_[S]]=b}else u[v]=b}return this.options.layoutId&&(u.pointerEvents=f===this?Ov(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(WI),this.root.sharedNodes.clear()}}}function MAe(e){e.updateLayout()}function NAe(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?ps(f=>{const p=s?n.measuredBox[f]:n.layoutBox[f],g=Xi(p);p.min=r[f].min,p.max=p.min+g}):Ij(o,n.layoutBox,r)&&ps(f=>{const p=s?n.measuredBox[f]:n.layoutBox[f],g=Xi(r[f]);p.max=p.min+g,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[f].max=e.relativeTarget[f].min+g)});const a=Bd();Ip(a,r,n.layoutBox);const l=Bd();s?Ip(l,e.applyTransform(i,!0),n.measuredBox):Ip(l,r,n.layoutBox);const u=!Oj(a);let d=!1;if(!e.resumeFrom){const f=e.getClosestProjectingParent();if(f&&!f.resumeFrom){const{snapshot:p,layout:g}=f;if(p&&g){const m=Bn();Mp(m,n.layoutBox,p.layoutBox);const v=Bn();Mp(v,r,g.layoutBox),F5(m,v)||(d=!0),f.options.layoutRoot&&(e.relativeTarget=v,e.relativeTargetOrigin=m,e.relativeParent=f)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:d})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function LAe(e){Ou.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function DAe(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function $Ae(e){e.clearSnapshot()}function WI(e){e.clearMeasurements()}function FAe(e){e.isLayoutDirty=!1}function BAe(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function qI(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function UAe(e){e.resolveTargetDelta()}function zAe(e){e.calcProjection()}function VAe(e){e.resetRotation()}function jAe(e){e.removeLeadSnapshot()}function KI(e,t,n){e.translate=vn(t.translate,0,n),e.scale=vn(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function XI(e,t,n,r){e.min=vn(t.min,n.min,r),e.max=vn(t.max,n.max,r)}function GAe(e,t,n,r){XI(e.x,t.x,n.x,r),XI(e.y,t.y,n.y,r)}function HAe(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const WAe={duration:.45,ease:[.4,0,.1,1]};function YI(e){e.min=Math.round(e.min*2)/2,e.max=Math.round(e.max*2)/2}function qAe(e){YI(e.x),YI(e.y)}function Ij(e,t,n){return e==="position"||e==="preserve-aspect"&&!N5(VI(t),VI(n),.2)}const KAe=kj({attachResizeListener:(e,t)=>ya(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),lC={current:void 0},Mj=kj({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!lC.current){const e=new KAe({});e.mount(window),e.setOptions({layoutScroll:!0}),lC.current=e}return lC.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>window.getComputedStyle(e).position==="fixed"}),XAe={pan:{Feature:fAe},drag:{Feature:dAe,ProjectionNode:Mj,MeasureLayout:Aj}},YAe=/var\((--[a-zA-Z0-9-_]+),? ?([a-zA-Z0-9 ()%#.,-]+)?\)/;function QAe(e){const t=YAe.exec(e);if(!t)return[,];const[,n,r]=t;return[n,r]}function B5(e,t,n=1){const[r,i]=QAe(e);if(!r)return;const o=window.getComputedStyle(t).getPropertyValue(r);return o?o.trim():A5(i)?B5(i,t,n+1):i}function ZAe(e,{...t},n){const r=e.current;if(!(r instanceof Element))return{target:t,transitionEnd:n};n&&(n={...n}),e.values.forEach(i=>{const o=i.get();if(!A5(o))return;const s=B5(o,r);s&&i.set(s)});for(const i in t){const o=t[i];if(!A5(o))continue;const s=B5(o,r);s&&(t[i]=s,n||(n={}),n[i]===void 0&&(n[i]=o))}return{target:t,transitionEnd:n}}const JAe=new Set(["width","height","top","left","right","bottom","x","y","translateX","translateY"]),Nj=e=>JAe.has(e),ePe=e=>Object.keys(e).some(Nj),QI=e=>e===Oc||e===Be,ZI=(e,t)=>parseFloat(e.split(", ")[t]),JI=(e,t)=>(n,{transform:r})=>{if(r==="none"||!r)return 0;const i=r.match(/^matrix3d\((.+)\)$/);if(i)return ZI(i[1],t);{const o=r.match(/^matrix\((.+)\)$/);return o?ZI(o[1],e):0}},tPe=new Set(["x","y","z"]),nPe=Dm.filter(e=>!tPe.has(e));function rPe(e){const t=[];return nPe.forEach(n=>{const r=e.getValue(n);r!==void 0&&(t.push([n,r.get()]),r.set(n.startsWith("scale")?1:0))}),t.length&&e.render(),t}const Nf={width:({x:e},{paddingLeft:t="0",paddingRight:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),height:({y:e},{paddingTop:t="0",paddingBottom:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),top:(e,{top:t})=>parseFloat(t),left:(e,{left:t})=>parseFloat(t),bottom:({y:e},{top:t})=>parseFloat(t)+(e.max-e.min),right:({x:e},{left:t})=>parseFloat(t)+(e.max-e.min),x:JI(4,13),y:JI(5,14)};Nf.translateX=Nf.x;Nf.translateY=Nf.y;const iPe=(e,t,n)=>{const r=t.measureViewportBox(),i=t.current,o=getComputedStyle(i),{display:s}=o,a={};s==="none"&&t.setStaticValue("display",e.display||"block"),n.forEach(u=>{a[u]=Nf[u](r,o)}),t.render();const l=t.measureViewportBox();return n.forEach(u=>{const d=t.getValue(u);d&&d.jump(a[u]),e[u]=Nf[u](l,o)}),e},oPe=(e,t,n={},r={})=>{t={...t},r={...r};const i=Object.keys(t).filter(Nj);let o=[],s=!1;const a=[];if(i.forEach(l=>{const u=e.getValue(l);if(!e.hasValue(l))return;let d=n[l],f=ip(d);const p=t[l];let g;if(c_(p)){const m=p.length,v=p[0]===null?1:0;d=p[v],f=ip(d);for(let x=v;x<m&&p[x]!==null;x++)g?i6(ip(p[x])===g):g=ip(p[x])}else g=ip(p);if(f!==g)if(QI(f)&&QI(g)){const m=u.get();typeof m=="string"&&u.set(parseFloat(m)),typeof p=="string"?t[l]=parseFloat(p):Array.isArray(p)&&g===Be&&(t[l]=p.map(parseFloat))}else f!=null&&f.transform&&(g!=null&&g.transform)&&(d===0||p===0)?d===0?u.set(g.transform(d)):t[l]=f.transform(p):(s||(o=rPe(e),s=!0),a.push(l),r[l]=r[l]!==void 0?r[l]:t[l],u.jump(p))}),a.length){const l=a.indexOf("height")>=0?window.pageYOffset:null,u=iPe(t,e,a);return o.length&&o.forEach(([d,f])=>{e.getValue(d).set(f)}),e.render(),r2&&l!==null&&window.scrollTo({top:l}),{target:u,transitionEnd:r}}else return{target:t,transitionEnd:r}};function sPe(e,t,n,r){return ePe(t)?oPe(e,t,n,r):{target:t,transitionEnd:r}}const aPe=(e,t,n,r)=>{const i=ZAe(e,t,r);return t=i.target,r=i.transitionEnd,sPe(e,t,n,r)},U5={current:null},Lj={current:!1};function lPe(){if(Lj.current=!0,!!r2)if(window.matchMedia){const e=window.matchMedia("(prefers-reduced-motion)"),t=()=>U5.current=e.matches;e.addListener(t),t()}else U5.current=!1}function uPe(e,t,n){const{willChange:r}=t;for(const i in t){const o=t[i],s=n[i];if(ki(o))e.addValue(i,o),p_(r)&&r.add(i);else if(ki(s))e.addValue(i,Mf(o,{owner:e})),p_(r)&&r.remove(i);else if(s!==o)if(e.hasValue(i)){const a=e.getValue(i);!a.hasAnimated&&a.set(o)}else{const a=e.getStaticValue(i);e.addValue(i,Mf(a!==void 0?a:o,{owner:e}))}}for(const i in n)t[i]===void 0&&e.removeValue(i);return t}const e7=new WeakMap,Dj=Object.keys(Vg),cPe=Dj.length,t7=["AnimationStart","AnimationComplete","Update","BeforeLayoutMeasure","LayoutMeasure","LayoutAnimationStart","LayoutAnimationComplete"],dPe=KE.length;class fPe{constructor({parent:t,props:n,presenceContext:r,reducedMotionConfig:i,visualState:o},s={}){this.current=null,this.children=new Set,this.isVariantNode=!1,this.isControllingVariants=!1,this.shouldReduceMotion=null,this.values=new Map,this.features={},this.valueSubscriptions=new Map,this.prevMotionValues={},this.events={},this.propEventSubscriptions={},this.notifyUpdate=()=>this.notify("Update",this.latestValues),this.render=()=>{this.current&&(this.triggerBuild(),this.renderInstance(this.current,this.renderState,this.props.style,this.projection))},this.scheduleRender=()=>dn.render(this.render,!1,!0);const{latestValues:a,renderState:l}=o;this.latestValues=a,this.baseTarget={...a},this.initialValues=n.initial?{...a}:{},this.renderState=l,this.parent=t,this.props=n,this.presenceContext=r,this.depth=t?t.depth+1:0,this.reducedMotionConfig=i,this.options=s,this.isControllingVariants=o2(n),this.isVariantNode=SV(n),this.isVariantNode&&(this.variantChildren=new Set),this.manuallyAnimateOnMount=!!(t&&t.current);const{willChange:u,...d}=this.scrapeMotionValuesFromProps(n,{});for(const f in d){const p=d[f];a[f]!==void 0&&ki(p)&&(p.set(a[f],!1),p_(u)&&u.add(f))}}scrapeMotionValuesFromProps(t,n){return{}}mount(t){this.current=t,e7.set(t,this),this.projection&&!this.projection.instance&&this.projection.mount(t),this.parent&&this.isVariantNode&&!this.isControllingVariants&&(this.removeFromVariantTree=this.parent.addVariantChild(this)),this.values.forEach((n,r)=>this.bindToMotionValue(r,n)),Lj.current||lPe(),this.shouldReduceMotion=this.reducedMotionConfig==="never"?!1:this.reducedMotionConfig==="always"?!0:U5.current,this.parent&&this.parent.children.add(this),this.update(this.props,this.presenceContext)}unmount(){e7.delete(this.current),this.projection&&this.projection.unmount(),Ia(this.notifyUpdate),Ia(this.render),this.valueSubscriptions.forEach(t=>t()),this.removeFromVariantTree&&this.removeFromVariantTree(),this.parent&&this.parent.children.delete(this);for(const t in this.events)this.events[t].clear();for(const t in this.features)this.features[t].unmount();this.current=null}bindToMotionValue(t,n){const r=Rc.has(t),i=n.on("change",s=>{this.latestValues[t]=s,this.props.onUpdate&&dn.update(this.notifyUpdate,!1,!0),r&&this.projection&&(this.projection.isTransformDirty=!0)}),o=n.on("renderRequest",this.scheduleRender);this.valueSubscriptions.set(t,()=>{i(),o()})}sortNodePosition(t){return!this.current||!this.sortInstanceNodePosition||this.type!==t.type?0:this.sortInstanceNodePosition(this.current,t.current)}loadFeatures({children:t,...n},r,i,o){let s,a;for(let l=0;l<cPe;l++){const u=Dj[l],{isEnabled:d,Feature:f,ProjectionNode:p,MeasureLayout:g}=Vg[u];p&&(s=p),d(n)&&(!this.features[u]&&f&&(this.features[u]=new f(this)),g&&(a=g))}if(!this.projection&&s){this.projection=new s(this.latestValues,this.parent&&this.parent.projection);const{layoutId:l,layout:u,drag:d,dragConstraints:f,layoutScroll:p,layoutRoot:g}=n;this.projection.setOptions({layoutId:l,layout:u,alwaysMeasureLayout:!!d||f&&$d(f),visualElement:this,scheduleRender:()=>this.scheduleRender(),animationType:typeof u=="string"?u:"both",initialPromotionConfig:o,layoutScroll:p,layoutRoot:g})}return a}updateFeatures(){for(const t in this.features){const n=this.features[t];n.isMounted?n.update():(n.mount(),n.isMounted=!0)}}triggerBuild(){this.build(this.renderState,this.latestValues,this.options,this.props)}measureViewportBox(){return this.current?this.measureInstanceViewportBox(this.current,this.props):Bn()}getStaticValue(t){return this.latestValues[t]}setStaticValue(t,n){this.latestValues[t]=n}makeTargetAnimatable(t,n=!0){return this.makeTargetAnimatableFromInstance(t,this.props,n)}update(t,n){(t.transformTemplate||this.props.transformTemplate)&&this.scheduleRender(),this.prevProps=this.props,this.props=t,this.prevPresenceContext=this.presenceContext,this.presenceContext=n;for(let r=0;r<t7.length;r++){const i=t7[r];this.propEventSubscriptions[i]&&(this.propEventSubscriptions[i](),delete this.propEventSubscriptions[i]);const o=t["on"+i];o&&(this.propEventSubscriptions[i]=this.on(i,o))}this.prevMotionValues=uPe(this,this.scrapeMotionValuesFromProps(t,this.prevProps),this.prevMotionValues),this.handleChildMotionValue&&this.handleChildMotionValue()}getProps(){return this.props}getVariant(t){return this.props.variants?this.props.variants[t]:void 0}getDefaultTransition(){return this.props.transition}getTransformPagePoint(){return this.props.transformPagePoint}getClosestVariantNode(){return this.isVariantNode?this:this.parent?this.parent.getClosestVariantNode():void 0}getVariantContext(t=!1){if(t)return this.parent?this.parent.getVariantContext():void 0;if(!this.isControllingVariants){const r=this.parent?this.parent.getVariantContext()||{}:{};return this.props.initial!==void 0&&(r.initial=this.props.initial),r}const n={};for(let r=0;r<dPe;r++){const i=KE[r],o=this.props[i];(zg(o)||o===!1)&&(n[i]=o)}return n}addVariantChild(t){const n=this.getClosestVariantNode();if(n)return n.variantChildren&&n.variantChildren.add(t),()=>n.variantChildren.delete(t)}addValue(t,n){n!==this.values.get(t)&&(this.removeValue(t),this.bindToMotionValue(t,n)),this.values.set(t,n),this.latestValues[t]=n.get()}removeValue(t){this.values.delete(t);const n=this.valueSubscriptions.get(t);n&&(n(),this.valueSubscriptions.delete(t)),delete this.latestValues[t],this.removeValueFromRenderState(t,this.renderState)}hasValue(t){return this.values.has(t)}getValue(t,n){if(this.props.values&&this.props.values[t])return this.props.values[t];let r=this.values.get(t);return r===void 0&&n!==void 0&&(r=Mf(n,{owner:this}),this.addValue(t,r)),r}readValue(t){var n;return this.latestValues[t]!==void 0||!this.current?this.latestValues[t]:(n=this.getBaseTargetFromProps(this.props,t))!==null&&n!==void 0?n:this.readValueFromInstance(this.current,t,this.options)}setBaseTarget(t,n){this.baseTarget[t]=n}getBaseTarget(t){var n;const{initial:r}=this.props,i=typeof r=="string"||typeof r=="object"?(n=r6(this.props,r))===null||n===void 0?void 0:n[t]:void 0;if(r&&i!==void 0)return i;const o=this.getBaseTargetFromProps(this.props,t);return o!==void 0&&!ki(o)?o:this.initialValues[t]!==void 0&&i===void 0?void 0:this.baseTarget[t]}on(t,n){return this.events[t]||(this.events[t]=new f6),this.events[t].add(n)}notify(t,...n){this.events[t]&&this.events[t].notify(...n)}}class $j extends fPe{sortInstanceNodePosition(t,n){return t.compareDocumentPosition(n)&2?1:-1}getBaseTargetFromProps(t,n){return t.style?t.style[n]:void 0}removeValueFromRenderState(t,{vars:n,style:r}){delete n[t],delete r[t]}makeTargetAnimatableFromInstance({transition:t,transitionEnd:n,...r},{transformValues:i},o){let s=k6e(r,t||{},this);if(i&&(n&&(n=i(n)),r&&(r=i(r)),s&&(s=i(s))),o){R6e(this,r,s);const a=aPe(this,r,s,n);n=a.transitionEnd,r=a.target}return{transition:t,transitionEnd:n,...r}}}function hPe(e){return window.getComputedStyle(e)}class pPe extends $j{readValueFromInstance(t,n){if(Rc.has(n)){const r=l6(n);return r&&r.default||0}else{const r=hPe(t),i=(TV(n)?r.getPropertyValue(n):r[n])||0;return typeof i=="string"?i.trim():i}}measureInstanceViewportBox(t,{transformPagePoint:n}){return Ej(t,n)}build(t,n,r,i){QE(t,n,r,i.transformTemplate)}scrapeMotionValuesFromProps(t,n){return n6(t,n)}handleChildMotionValue(){this.childSubscription&&(this.childSubscription(),delete this.childSubscription);const{children:t}=this.props;ki(t)&&(this.childSubscription=t.on("change",n=>{this.current&&(this.current.textContent=`${n}`)}))}renderInstance(t,n,r,i){kV(t,n,r,i)}}class gPe extends $j{constructor(){super(...arguments),this.isSVGTag=!1}getBaseTargetFromProps(t,n){return t[n]}readValueFromInstance(t,n){if(Rc.has(n)){const r=l6(n);return r&&r.default||0}return n=IV.has(n)?n:t6(n),t.getAttribute(n)}measureInstanceViewportBox(){return Bn()}scrapeMotionValuesFromProps(t,n){return NV(t,n)}build(t,n,r,i){JE(t,n,r,this.isSVGTag,i.transformTemplate)}renderInstance(t,n,r,i){MV(t,n,r,i)}mount(t){this.isSVGTag=e6(t.tagName),super.mount(t)}}const mPe=(e,t)=>YE(e)?new gPe(t,{enableHardwareAcceleration:!1}):new pPe(t,{enableHardwareAcceleration:!0}),yPe={layout:{ProjectionNode:Mj,MeasureLayout:Aj}},vPe={...H6e,...fEe,...XAe,...yPe},_Pe=STe((e,t)=>YTe(e,t,vPe,mPe));function Fj(){const e=L.useRef(!1);return a_(()=>(e.current=!0,()=>{e.current=!1}),[]),e}function bPe(){const e=Fj(),[t,n]=L.useState(0),r=L.useCallback(()=>{e.current&&n(t+1)},[t]);return[L.useCallback(()=>dn.postRender(r),[r]),t]}class SPe extends L.Component{getSnapshotBeforeUpdate(t){const n=this.props.childRef.current;if(n&&t.isPresent&&!this.props.isPresent){const r=this.props.sizeRef.current;r.height=n.offsetHeight||0,r.width=n.offsetWidth||0,r.top=n.offsetTop,r.left=n.offsetLeft}return null}componentDidUpdate(){}render(){return this.props.children}}function wPe({children:e,isPresent:t}){const n=L.useId(),r=L.useRef(null),i=L.useRef({width:0,height:0,top:0,left:0});return L.useInsertionEffect(()=>{const{width:o,height:s,top:a,left:l}=i.current;if(t||!r.current||!o||!s)return;r.current.dataset.motionPopId=n;const u=document.createElement("style");return document.head.appendChild(u),u.sheet&&u.sheet.insertRule(`
           [data-motion-pop-id="${n}"] {
             position: absolute !important;
             width: ${o}px !important;
@@ -144,8 +144,8 @@ In order to be iterable, non-array objects must have a [Symbol.iterator]() metho
             top: ${a}px !important;
             left: ${l}px !important;
           }
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Draggable item "+t.id+" was dropped."}};function y8e(e){let{announcements:t=m8e,container:n,hiddenTextDescribedById:r,screenReaderInstructions:i=g8e}=e;const{announce:o,announcement:s}=f8e(),a=d2("DndLiveRegion"),[l,u]=L.useState(!1);if(L.useEffect(()=>{u(!0)},[]),h8e(L.useMemo(()=>({onDragStart(f){let{active:p}=f;o(t.onDragStart({active:p}))},onDragMove(f){let{active:p,over:g}=f;t.onDragMove&&o(t.onDragMove({active:p,over:g}))},onDragOver(f){let{active:p,over:g}=f;o(t.onDragOver({active:p,over:g}))},onDragEnd(f){let{active:p,over:g}=f;o(t.onDragEnd({active:p,over:g}))},onDragCancel(f){let{active:p,over:g}=f;o(t.onDragCancel({active:p,over:g}))}}),[o,t])),!l)return null;const d=Lt.createElement(Lt.Fragment,null,Lt.createElement(u8e,{id:r,value:i.draggable}),Lt.createElement(d8e,{id:a,announcement:s}));return n?bs.createPortal(d,n):d}var er;(function(e){e.DragStart="dragStart",e.DragMove="dragMove",e.DragEnd="dragEnd",e.DragCancel="dragCancel",e.DragOver="dragOver",e.RegisterDroppable="registerDroppable",e.SetDroppableDisabled="setDroppableDisabled",e.UnregisterDroppable="unregisterDroppable"})(er||(er={}));function S_(){}function l7(e,t){return L.useMemo(()=>({sensor:e,options:t??{}}),[e,t])}function v8e(){for(var e=arguments.length,t=new Array(e),n=0;n<e;n++)t[n]=arguments[n];return L.useMemo(()=>[...t].filter(r=>r!=null),[...t])}const ns=Object.freeze({x:0,y:0});function _8e(e,t){return Math.sqrt(Math.pow(e.x-t.x,2)+Math.pow(e.y-t.y,2))}function b8e(e,t){const n=qg(e);if(!n)return"0 0";const r={x:(n.x-t.left)/t.width*100,y:(n.y-t.top)/t.height*100};return r.x+"% "+r.y+"%"}function S8e(e,t){let{data:{value:n}}=e,{data:{value:r}}=t;return n-r}function w8e(e,t){let{data:{value:n}}=e,{data:{value:r}}=t;return r-n}function 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u=x8e(a).reduce((f,p)=>f+_8e(r,p),0),d=Number((u/4).toFixed(4));i.push({id:s,data:{droppableContainer:o,value:d}})}}return i.sort(S8e)};function R8e(e,t,n){return{...e,scaleX:t&&n?t.width/n.width:1,scaleY:t&&n?t.height/n.height:1}}function Yj(e,t){return e&&t?{x:e.left-t.left,y:e.top-t.top}:ns}function O8e(e){return function(n){for(var r=arguments.length,i=new Array(r>1?r-1:0),o=1;o<r;o++)i[o-1]=arguments[o];return i.reduce((s,a)=>({...s,top:s.top+e*a.y,bottom:s.bottom+e*a.y,left:s.left+e*a.x,right:s.right+e*a.x}),{...n})}}const k8e=O8e(1);function Qj(e){if(e.startsWith("matrix3d(")){const t=e.slice(9,-1).split(/, /);return{x:+t[12],y:+t[13],scaleX:+t[0],scaleY:+t[5]}}else if(e.startsWith("matrix(")){const t=e.slice(7,-1).split(/, /);return{x:+t[4],y:+t[5],scaleX:+t[0],scaleY:+t[3]}}return null}function I8e(e,t,n){const r=Qj(t);if(!r)return e;const{scaleX:i,scaleY:o,x:s,y:a}=r,l=e.left-s-(1-i)*parseFloat(n),u=e.top-a-(1-o)*parseFloat(n.slice(n.indexOf(" 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n;if(m6(i)&&i.scrollingElement!=null&&!n.includes(i.scrollingElement))return n.push(i.scrollingElement),n;if(!Um(i)||r8e(i)||n.includes(i))return n;const o=fi(e).getComputedStyle(i);return i!==e&&D8e(i,o)&&n.push(i),L8e(i,o)?n:r(i.parentNode)}return e?r(e):n}function Zj(e){const[t]=v6(e,1);return t??null}function dC(e){return!u2||!e?null:Yf(e)?e:g6(e)?m6(e)||e===Qf(e).scrollingElement?window:Um(e)?e:null:null}function Jj(e){return Yf(e)?e.scrollX:e.scrollLeft}function eG(e){return Yf(e)?e.scrollY:e.scrollTop}function q5(e){return{x:Jj(e),y:eG(e)}}var fr;(function(e){e[e.Forward=1]="Forward",e[e.Backward=-1]="Backward"})(fr||(fr={}));function tG(e){return!u2||!e?!1:e===document.scrollingElement}function nG(e){const t={x:0,y:0},n=tG(e)?{height:window.innerHeight,width:window.innerWidth}:{height:e.clientHeight,width:e.clientWidth},r={x:e.scrollWidth-n.width,y:e.scrollHeight-n.height},i=e.scrollTop<=t.y,o=e.scrollLeft<=t.x,s=e.scrollTop>=r.y,a=e.scrollLeft>=r.x;return{isTop:i,isLeft:o,isBottom:s,isRight:a,maxScroll:r,minScroll:t}}const $8e={x:.2,y:.2};function F8e(e,t,n,r,i){let{top:o,left:s,right:a,bottom:l}=n;r===void 0&&(r=10),i===void 0&&(i=$8e);const{isTop:u,isBottom:d,isLeft:f,isRight:p}=nG(e),g={x:0,y:0},m={x:0,y:0},v={height:t.height*i.y,width:t.width*i.x};return!u&&o<=t.top+v.height?(g.y=fr.Backward,m.y=r*Math.abs((t.top+v.height-o)/v.height)):!d&&l>=t.bottom-v.height&&(g.y=fr.Forward,m.y=r*Math.abs((t.bottom-v.height-l)/v.height)),!p&&a>=t.right-v.width?(g.x=fr.Forward,m.x=r*Math.abs((t.right-v.width-a)/v.width)):!f&&s<=t.left+v.width&&(g.x=fr.Backward,m.x=r*Math.abs((t.left+v.width-s)/v.width)),{direction:g,speed:m}}function B8e(e){if(e===document.scrollingElement){const{innerWidth:o,innerHeight:s}=window;return{top:0,left:0,right:o,bottom:s,width:o,height:s}}const{top:t,left:n,right:r,bottom:i}=e.getBoundingClientRect();return{top:t,left:n,right:r,bottom:i,width:e.clientWidth,height:e.clientHeight}}function rG(e){return e.reduce((t,n)=>uf(t,q5(n)),ns)}function U8e(e){return e.reduce((t,n)=>t+Jj(n),0)}function z8e(e){return e.reduce((t,n)=>t+eG(n),0)}function iG(e,t){if(t===void 0&&(t=Vm),!e)return;const{top:n,left:r,bottom:i,right:o}=t(e);Zj(e)&&(i<=0||o<=0||n>=window.innerHeight||r>=window.innerWidth)&&e.scrollIntoView({block:"center",inline:"center"})}const V8e=[["x",["left","right"],U8e],["y",["top","bottom"],z8e]];class _6{constructor(t,n){this.rect=void 0,this.width=void 0,this.height=void 0,this.top=void 0,this.bottom=void 0,this.right=void 0,this.left=void 0;const r=v6(n),i=rG(r);this.rect={...t},this.width=t.width,this.height=t.height;for(const[o,s,a]of V8e)for(const l of s)Object.defineProperty(this,l,{get:()=>{const u=a(r),d=i[o]-u;return this.rect[l]+d},enumerable:!0});Object.defineProperty(this,"rect",{enumerable:!1})}}class Np{constructor(t){this.target=void 0,this.listeners=[],this.removeAll=()=>{this.listeners.forEach(n=>{var r;return(r=this.target)==null?void 0:r.removeEventListener(...n)})},this.target=t}add(t,n,r){var i;(i=this.target)==null||i.addEventListener(t,n,r),this.listeners.push([t,n,r])}}function j8e(e){const{EventTarget:t}=fi(e);return e instanceof t?e:Qf(e)}function fC(e,t){const n=Math.abs(e.x),r=Math.abs(e.y);return typeof t=="number"?Math.sqrt(n**2+r**2)>t:"x"in t&&"y"in t?n>t.x&&r>t.y:"x"in t?n>t.x:"y"in t?r>t.y:!1}var po;(function(e){e.Click="click",e.DragStart="dragstart",e.Keydown="keydown",e.ContextMenu="contextmenu",e.Resize="resize",e.SelectionChange="selectionchange",e.VisibilityChange="visibilitychange"})(po||(po={}));function c7(e){e.preventDefault()}function G8e(e){e.stopPropagation()}var Qt;(function(e){e.Space="Space",e.Down="ArrowDown",e.Right="ArrowRight",e.Left="ArrowLeft",e.Up="ArrowUp",e.Esc="Escape",e.Enter="Enter"})(Qt||(Qt={}));const oG={start:[Qt.Space,Qt.Enter],cancel:[Qt.Esc],end:[Qt.Space,Qt.Enter]},H8e=(e,t)=>{let{currentCoordinates:n}=t;switch(e.code){case Qt.Right:return{...n,x:n.x+25};case Qt.Left:return{...n,x:n.x-25};case Qt.Down:return{...n,y:n.y+25};case Qt.Up:return{...n,y:n.y-25}}};class sG{constructor(t){this.props=void 0,this.autoScrollEnabled=!1,this.referenceCoordinates=void 0,this.listeners=void 0,this.windowListeners=void 0,this.props=t;const{event:{target:n}}=t;this.props=t,this.listeners=new Np(Qf(n)),this.windowListeners=new Np(fi(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(po.Resize,this.handleCancel),this.windowListeners.add(po.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(po.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&iG(r),n(ns)}handleKeyDown(t){if(y6(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=oG,coordinateGetter:s=H8e,scrollBehavior:a="smooth"}=i,{code:l}=t;if(o.end.includes(l)){this.handleEnd(t);return}if(o.cancel.includes(l)){this.handleCancel(t);return}const{collisionRect:u}=r.current,d=u?{x:u.left,y:u.top}:ns;this.referenceCoordinates||(this.referenceCoordinates=d);const f=s(t,{active:n,context:r.current,currentCoordinates:d});if(f){const p=b_(f,d),g={x:0,y:0},{scrollableAncestors:m}=r.current;for(const v of m){const x=t.code,{isTop:_,isRight:b,isLeft:y,isBottom:S,maxScroll:C,minScroll:T}=nG(v),E=B8e(v),P={x:Math.min(x===Qt.Right?E.right-E.width/2:E.right,Math.max(x===Qt.Right?E.left:E.left+E.width/2,f.x)),y:Math.min(x===Qt.Down?E.bottom-E.height/2:E.bottom,Math.max(x===Qt.Down?E.top:E.top+E.height/2,f.y))},k=x===Qt.Right&&!b||x===Qt.Left&&!y,O=x===Qt.Down&&!S||x===Qt.Up&&!_;if(k&&P.x!==f.x){const M=v.scrollLeft+p.x,G=x===Qt.Right&&M<=C.x||x===Qt.Left&&M>=T.x;if(G&&!p.y){v.scrollTo({left:M,behavior:a});return}G?g.x=v.scrollLeft-M:g.x=x===Qt.Right?v.scrollLeft-C.x:v.scrollLeft-T.x,g.x&&v.scrollBy({left:-g.x,behavior:a});break}else if(O&&P.y!==f.y){const M=v.scrollTop+p.y,G=x===Qt.Down&&M<=C.y||x===Qt.Up&&M>=T.y;if(G&&!p.x){v.scrollTo({top:M,behavior:a});return}G?g.y=v.scrollTop-M:g.y=x===Qt.Down?v.scrollTop-C.y:v.scrollTop-T.y,g.y&&v.scrollBy({top:-g.y,behavior:a});break}}this.handleMove(t,uf(b_(f,this.referenceCoordinates),g))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}sG.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=oG,onActivation:i}=t,{active:o}=n;const{code:s}=e.nativeEvent;if(r.start.includes(s)){const a=o.activatorNode.current;return a&&e.target!==a?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function d7(e){return!!(e&&"distance"in e)}function f7(e){return!!(e&&"delay"in e)}class b6{constructor(t,n,r){var i;r===void 0&&(r=j8e(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=Qf(s),this.documentListeners=new Np(this.document),this.listeners=new Np(r),this.windowListeners=new Np(fi(s)),this.initialCoordinates=(i=qg(o))!=null?i:ns,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(po.Resize,this.handleCancel),this.windowListeners.add(po.DragStart,c7),this.windowListeners.add(po.VisibilityChange,this.handleCancel),this.windowListeners.add(po.ContextMenu,c7),this.documentListeners.add(po.Keydown,this.handleKeydown),n){if(d7(n))return;if(f7(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(po.Click,G8e,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(po.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=qg(t))!=null?n:ns,u=b_(i,l);if(!r&&a){if(f7(a))return fC(u,a.tolerance)?this.handleCancel():void 0;if(d7(a))return a.tolerance!=null&&fC(u,a.tolerance)?this.handleCancel():fC(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===Qt.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const W8e={move:{name:"pointermove"},end:{name:"pointerup"}};class aG extends b6{constructor(t){const{event:n}=t,r=Qf(n.target);super(t,W8e,r)}}aG.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const q8e={move:{name:"mousemove"},end:{name:"mouseup"}};var K5;(function(e){e[e.RightClick=2]="RightClick"})(K5||(K5={}));class lG extends b6{constructor(t){super(t,q8e,Qf(t.event.target))}}lG.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===K5.RightClick?!1:(r==null||r({event:n}),!0)}}];const hC={move:{name:"touchmove"},end:{name:"touchend"}};class uG extends b6{constructor(t){super(t,hC)}static setup(){return window.addEventListener(hC.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(hC.move.name,t)};function t(){}}}uG.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var Lp;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Lp||(Lp={}));var w_;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(w_||(w_={}));function 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Vs=L.useMemo(()=>({active:U,activeNode:le,activeNodeRect:pe,activatorEvent:B,collisions:qn,containerNodeRect:ve,dragOverlay:Me,draggableNodes:P,droppableContainers:O,droppableRects:ee,over:Gt,measureDroppableContainers:ie,scrollableAncestors:Bt,scrollableAncestorRects:it,measuringConfiguration:Z,measuringScheduled:se,windowRect:Wn}),[U,le,pe,B,qn,ve,Me,P,O,ee,Gt,ie,Bt,it,Z,se,Wn]),Ji=L.useMemo(()=>({activatorEvent:B,activators:Yr,active:U,activeNodeRect:pe,ariaDescribedById:{draggable:j},dispatch:_,draggableNodes:P,over:Gt,measureDroppableContainers:ie}),[B,Yr,U,pe,_,j,P,Gt,ie]);return Lt.createElement(Xj.Provider,{value:y},Lt.createElement(jm.Provider,{value:Ji},Lt.createElement(hG.Provider,{value:Vs},Lt.createElement(h2.Provider,{value:Xr},u)),Lt.createElement(g9e,{disabled:(a==null?void 0:a.restoreFocus)===!1})),Lt.createElement(y8e,{...a,hiddenTextDescribedById:j}));function js(){const Xt=(N==null?void 0:N.autoScrollEnabled)===!1,kt=typeof 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+  `},m8e={onDragStart(e){let{active:t}=e;return"Picked up draggable item "+t.id+"."},onDragOver(e){let{active:t,over:n}=e;return n?"Draggable item "+t.id+" was moved over droppable area "+n.id+".":"Draggable item "+t.id+" is no longer over a droppable area."},onDragEnd(e){let{active:t,over:n}=e;return n?"Draggable item "+t.id+" was dropped over droppable area "+n.id:"Draggable item "+t.id+" was dropped."},onDragCancel(e){let{active:t}=e;return"Dragging was cancelled. Draggable item "+t.id+" was dropped."}};function y8e(e){let{announcements:t=m8e,container:n,hiddenTextDescribedById:r,screenReaderInstructions:i=g8e}=e;const{announce:o,announcement:s}=f8e(),a=d2("DndLiveRegion"),[l,u]=L.useState(!1);if(L.useEffect(()=>{u(!0)},[]),h8e(L.useMemo(()=>({onDragStart(f){let{active:p}=f;o(t.onDragStart({active:p}))},onDragMove(f){let{active:p,over:g}=f;t.onDragMove&&o(t.onDragMove({active:p,over:g}))},onDragOver(f){let{active:p,over:g}=f;o(t.onDragOver({active:p,over:g}))},onDragEnd(f){let{active:p,over:g}=f;o(t.onDragEnd({active:p,over:g}))},onDragCancel(f){let{active:p,over:g}=f;o(t.onDragCancel({active:p,over:g}))}}),[o,t])),!l)return null;const d=Lt.createElement(Lt.Fragment,null,Lt.createElement(u8e,{id:r,value:i.draggable}),Lt.createElement(d8e,{id:a,announcement:s}));return n?bs.createPortal(d,n):d}var er;(function(e){e.DragStart="dragStart",e.DragMove="dragMove",e.DragEnd="dragEnd",e.DragCancel="dragCancel",e.DragOver="dragOver",e.RegisterDroppable="registerDroppable",e.SetDroppableDisabled="setDroppableDisabled",e.UnregisterDroppable="unregisterDroppable"})(er||(er={}));function S_(){}function l7(e,t){return L.useMemo(()=>({sensor:e,options:t??{}}),[e,t])}function v8e(){for(var e=arguments.length,t=new Array(e),n=0;n<e;n++)t[n]=arguments[n];return L.useMemo(()=>[...t].filter(r=>r!=null),[...t])}const ns=Object.freeze({x:0,y:0});function _8e(e,t){return Math.sqrt(Math.pow(e.x-t.x,2)+Math.pow(e.y-t.y,2))}function b8e(e,t){const n=qg(e);if(!n)return"0 0";const r={x:(n.x-t.left)/t.width*100,y:(n.y-t.top)/t.height*100};return r.x+"% "+r.y+"%"}function S8e(e,t){let{data:{value:n}}=e,{data:{value:r}}=t;return n-r}function w8e(e,t){let{data:{value:n}}=e,{data:{value:r}}=t;return r-n}function 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u=x8e(a).reduce((f,p)=>f+_8e(r,p),0),d=Number((u/4).toFixed(4));i.push({id:s,data:{droppableContainer:o,value:d}})}}return i.sort(S8e)};function R8e(e,t,n){return{...e,scaleX:t&&n?t.width/n.width:1,scaleY:t&&n?t.height/n.height:1}}function Yj(e,t){return e&&t?{x:e.left-t.left,y:e.top-t.top}:ns}function O8e(e){return function(n){for(var r=arguments.length,i=new Array(r>1?r-1:0),o=1;o<r;o++)i[o-1]=arguments[o];return i.reduce((s,a)=>({...s,top:s.top+e*a.y,bottom:s.bottom+e*a.y,left:s.left+e*a.x,right:s.right+e*a.x}),{...n})}}const k8e=O8e(1);function Qj(e){if(e.startsWith("matrix3d(")){const t=e.slice(9,-1).split(/, /);return{x:+t[12],y:+t[13],scaleX:+t[0],scaleY:+t[5]}}else if(e.startsWith("matrix(")){const t=e.slice(7,-1).split(/, /);return{x:+t[4],y:+t[5],scaleX:+t[0],scaleY:+t[3]}}return null}function I8e(e,t,n){const r=Qj(t);if(!r)return e;const{scaleX:i,scaleY:o,x:s,y:a}=r,l=e.left-s-(1-i)*parseFloat(n),u=e.top-a-(1-o)*parseFloat(n.slice(n.indexOf(" ")+1)),d=i?e.width/i:e.width,f=o?e.height/o:e.height;return{width:d,height:f,top:u,right:l+d,bottom:u+f,left:l}}const M8e={ignoreTransform:!1};function Vm(e,t){t===void 0&&(t=M8e);let n=e.getBoundingClientRect();if(t.ignoreTransform){const{transform:u,transformOrigin:d}=fi(e).getComputedStyle(e);u&&(n=I8e(n,u,d))}const{top:r,left:i,width:o,height:s,bottom:a,right:l}=n;return{top:r,left:i,width:o,height:s,bottom:a,right:l}}function u7(e){return Vm(e,{ignoreTransform:!0})}function N8e(e){const t=e.innerWidth,n=e.innerHeight;return{top:0,left:0,right:t,bottom:n,width:t,height:n}}function L8e(e,t){return t===void 0&&(t=fi(e).getComputedStyle(e)),t.position==="fixed"}function D8e(e,t){t===void 0&&(t=fi(e).getComputedStyle(e));const n=/(auto|scroll|overlay)/;return["overflow","overflowX","overflowY"].some(i=>{const o=t[i];return typeof o=="string"?n.test(o):!1})}function _6(e,t){const n=[];function r(i){if(t!=null&&n.length>=t||!i)return n;if(y6(i)&&i.scrollingElement!=null&&!n.includes(i.scrollingElement))return n.push(i.scrollingElement),n;if(!Um(i)||r8e(i)||n.includes(i))return n;const o=fi(e).getComputedStyle(i);return i!==e&&D8e(i,o)&&n.push(i),L8e(i,o)?n:r(i.parentNode)}return e?r(e):n}function Zj(e){const[t]=_6(e,1);return t??null}function dC(e){return!u2||!e?null:Yf(e)?e:m6(e)?y6(e)||e===Qf(e).scrollingElement?window:Um(e)?e:null:null}function Jj(e){return Yf(e)?e.scrollX:e.scrollLeft}function eG(e){return Yf(e)?e.scrollY:e.scrollTop}function K5(e){return{x:Jj(e),y:eG(e)}}var fr;(function(e){e[e.Forward=1]="Forward",e[e.Backward=-1]="Backward"})(fr||(fr={}));function tG(e){return!u2||!e?!1:e===document.scrollingElement}function nG(e){const t={x:0,y:0},n=tG(e)?{height:window.innerHeight,width:window.innerWidth}:{height:e.clientHeight,width:e.clientWidth},r={x:e.scrollWidth-n.width,y:e.scrollHeight-n.height},i=e.scrollTop<=t.y,o=e.scrollLeft<=t.x,s=e.scrollTop>=r.y,a=e.scrollLeft>=r.x;return{isTop:i,isLeft:o,isBottom:s,isRight:a,maxScroll:r,minScroll:t}}const $8e={x:.2,y:.2};function F8e(e,t,n,r,i){let{top:o,left:s,right:a,bottom:l}=n;r===void 0&&(r=10),i===void 0&&(i=$8e);const{isTop:u,isBottom:d,isLeft:f,isRight:p}=nG(e),g={x:0,y:0},m={x:0,y:0},v={height:t.height*i.y,width:t.width*i.x};return!u&&o<=t.top+v.height?(g.y=fr.Backward,m.y=r*Math.abs((t.top+v.height-o)/v.height)):!d&&l>=t.bottom-v.height&&(g.y=fr.Forward,m.y=r*Math.abs((t.bottom-v.height-l)/v.height)),!p&&a>=t.right-v.width?(g.x=fr.Forward,m.x=r*Math.abs((t.right-v.width-a)/v.width)):!f&&s<=t.left+v.width&&(g.x=fr.Backward,m.x=r*Math.abs((t.left+v.width-s)/v.width)),{direction:g,speed:m}}function B8e(e){if(e===document.scrollingElement){const{innerWidth:o,innerHeight:s}=window;return{top:0,left:0,right:o,bottom:s,width:o,height:s}}const{top:t,left:n,right:r,bottom:i}=e.getBoundingClientRect();return{top:t,left:n,right:r,bottom:i,width:e.clientWidth,height:e.clientHeight}}function rG(e){return e.reduce((t,n)=>uf(t,K5(n)),ns)}function U8e(e){return e.reduce((t,n)=>t+Jj(n),0)}function z8e(e){return e.reduce((t,n)=>t+eG(n),0)}function iG(e,t){if(t===void 0&&(t=Vm),!e)return;const{top:n,left:r,bottom:i,right:o}=t(e);Zj(e)&&(i<=0||o<=0||n>=window.innerHeight||r>=window.innerWidth)&&e.scrollIntoView({block:"center",inline:"center"})}const V8e=[["x",["left","right"],U8e],["y",["top","bottom"],z8e]];class b6{constructor(t,n){this.rect=void 0,this.width=void 0,this.height=void 0,this.top=void 0,this.bottom=void 0,this.right=void 0,this.left=void 0;const r=_6(n),i=rG(r);this.rect={...t},this.width=t.width,this.height=t.height;for(const[o,s,a]of V8e)for(const l of s)Object.defineProperty(this,l,{get:()=>{const u=a(r),d=i[o]-u;return this.rect[l]+d},enumerable:!0});Object.defineProperty(this,"rect",{enumerable:!1})}}class Np{constructor(t){this.target=void 0,this.listeners=[],this.removeAll=()=>{this.listeners.forEach(n=>{var r;return(r=this.target)==null?void 0:r.removeEventListener(...n)})},this.target=t}add(t,n,r){var i;(i=this.target)==null||i.addEventListener(t,n,r),this.listeners.push([t,n,r])}}function j8e(e){const{EventTarget:t}=fi(e);return e instanceof t?e:Qf(e)}function fC(e,t){const n=Math.abs(e.x),r=Math.abs(e.y);return typeof t=="number"?Math.sqrt(n**2+r**2)>t:"x"in t&&"y"in t?n>t.x&&r>t.y:"x"in t?n>t.x:"y"in t?r>t.y:!1}var po;(function(e){e.Click="click",e.DragStart="dragstart",e.Keydown="keydown",e.ContextMenu="contextmenu",e.Resize="resize",e.SelectionChange="selectionchange",e.VisibilityChange="visibilitychange"})(po||(po={}));function c7(e){e.preventDefault()}function G8e(e){e.stopPropagation()}var Qt;(function(e){e.Space="Space",e.Down="ArrowDown",e.Right="ArrowRight",e.Left="ArrowLeft",e.Up="ArrowUp",e.Esc="Escape",e.Enter="Enter"})(Qt||(Qt={}));const oG={start:[Qt.Space,Qt.Enter],cancel:[Qt.Esc],end:[Qt.Space,Qt.Enter]},H8e=(e,t)=>{let{currentCoordinates:n}=t;switch(e.code){case Qt.Right:return{...n,x:n.x+25};case Qt.Left:return{...n,x:n.x-25};case Qt.Down:return{...n,y:n.y+25};case Qt.Up:return{...n,y:n.y-25}}};class sG{constructor(t){this.props=void 0,this.autoScrollEnabled=!1,this.referenceCoordinates=void 0,this.listeners=void 0,this.windowListeners=void 0,this.props=t;const{event:{target:n}}=t;this.props=t,this.listeners=new Np(Qf(n)),this.windowListeners=new Np(fi(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(po.Resize,this.handleCancel),this.windowListeners.add(po.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(po.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&iG(r),n(ns)}handleKeyDown(t){if(v6(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=oG,coordinateGetter:s=H8e,scrollBehavior:a="smooth"}=i,{code:l}=t;if(o.end.includes(l)){this.handleEnd(t);return}if(o.cancel.includes(l)){this.handleCancel(t);return}const{collisionRect:u}=r.current,d=u?{x:u.left,y:u.top}:ns;this.referenceCoordinates||(this.referenceCoordinates=d);const f=s(t,{active:n,context:r.current,currentCoordinates:d});if(f){const p=b_(f,d),g={x:0,y:0},{scrollableAncestors:m}=r.current;for(const v of m){const x=t.code,{isTop:_,isRight:b,isLeft:y,isBottom:S,maxScroll:C,minScroll:T}=nG(v),E=B8e(v),P={x:Math.min(x===Qt.Right?E.right-E.width/2:E.right,Math.max(x===Qt.Right?E.left:E.left+E.width/2,f.x)),y:Math.min(x===Qt.Down?E.bottom-E.height/2:E.bottom,Math.max(x===Qt.Down?E.top:E.top+E.height/2,f.y))},k=x===Qt.Right&&!b||x===Qt.Left&&!y,O=x===Qt.Down&&!S||x===Qt.Up&&!_;if(k&&P.x!==f.x){const M=v.scrollLeft+p.x,G=x===Qt.Right&&M<=C.x||x===Qt.Left&&M>=T.x;if(G&&!p.y){v.scrollTo({left:M,behavior:a});return}G?g.x=v.scrollLeft-M:g.x=x===Qt.Right?v.scrollLeft-C.x:v.scrollLeft-T.x,g.x&&v.scrollBy({left:-g.x,behavior:a});break}else if(O&&P.y!==f.y){const M=v.scrollTop+p.y,G=x===Qt.Down&&M<=C.y||x===Qt.Up&&M>=T.y;if(G&&!p.x){v.scrollTo({top:M,behavior:a});return}G?g.y=v.scrollTop-M:g.y=x===Qt.Down?v.scrollTop-C.y:v.scrollTop-T.y,g.y&&v.scrollBy({top:-g.y,behavior:a});break}}this.handleMove(t,uf(b_(f,this.referenceCoordinates),g))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}sG.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=oG,onActivation:i}=t,{active:o}=n;const{code:s}=e.nativeEvent;if(r.start.includes(s)){const a=o.activatorNode.current;return a&&e.target!==a?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function d7(e){return!!(e&&"distance"in e)}function f7(e){return!!(e&&"delay"in e)}class S6{constructor(t,n,r){var i;r===void 0&&(r=j8e(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=Qf(s),this.documentListeners=new Np(this.document),this.listeners=new Np(r),this.windowListeners=new Np(fi(s)),this.initialCoordinates=(i=qg(o))!=null?i:ns,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(po.Resize,this.handleCancel),this.windowListeners.add(po.DragStart,c7),this.windowListeners.add(po.VisibilityChange,this.handleCancel),this.windowListeners.add(po.ContextMenu,c7),this.documentListeners.add(po.Keydown,this.handleKeydown),n){if(d7(n))return;if(f7(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(po.Click,G8e,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(po.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=qg(t))!=null?n:ns,u=b_(i,l);if(!r&&a){if(f7(a))return fC(u,a.tolerance)?this.handleCancel():void 0;if(d7(a))return a.tolerance!=null&&fC(u,a.tolerance)?this.handleCancel():fC(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===Qt.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const W8e={move:{name:"pointermove"},end:{name:"pointerup"}};class aG extends S6{constructor(t){const{event:n}=t,r=Qf(n.target);super(t,W8e,r)}}aG.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const q8e={move:{name:"mousemove"},end:{name:"mouseup"}};var X5;(function(e){e[e.RightClick=2]="RightClick"})(X5||(X5={}));class lG extends S6{constructor(t){super(t,q8e,Qf(t.event.target))}}lG.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===X5.RightClick?!1:(r==null||r({event:n}),!0)}}];const hC={move:{name:"touchmove"},end:{name:"touchend"}};class uG extends S6{constructor(t){super(t,hC)}static setup(){return window.addEventListener(hC.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(hC.move.name,t)};function t(){}}}uG.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var Lp;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Lp||(Lp={}));var w_;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(w_||(w_={}));function K8e(e){let{acceleration:t,activator:n=Lp.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=w_.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:d,delta:f,threshold:p}=e;const g=Y8e({delta:f,disabled:!o}),[m,v]=i8e(),x=L.useRef({x:0,y:0}),_=L.useRef({x:0,y:0}),b=L.useMemo(()=>{switch(n){case Lp.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case Lp.DraggableRect:return i}},[n,i,l]),y=L.useRef(null),S=L.useCallback(()=>{const T=y.current;if(!T)return;const E=x.current.x*_.current.x,P=x.current.y*_.current.y;T.scrollBy(E,P)},[]),C=L.useMemo(()=>a===w_.TreeOrder?[...u].reverse():u,[a,u]);L.useEffect(()=>{if(!o||!u.length||!b){v();return}for(const T of C){if((r==null?void 0:r(T))===!1)continue;const E=u.indexOf(T),P=d[E];if(!P)continue;const{direction:k,speed:O}=F8e(T,P,b,t,p);for(const M of["x","y"])g[M][k[M]]||(O[M]=0,k[M]=0);if(O.x>0||O.y>0){v(),y.current=T,m(S,s),x.current=O,_.current=k;return}}x.current={x:0,y:0},_.current={x:0,y:0},v()},[t,S,r,v,o,s,JSON.stringify(b),JSON.stringify(g),m,u,C,d,JSON.stringify(p)])}const X8e={x:{[fr.Backward]:!1,[fr.Forward]:!1},y:{[fr.Backward]:!1,[fr.Forward]:!1}};function Y8e(e){let{delta:t,disabled:n}=e;const r=__(t);return zm(i=>{if(n||!r||!i)return X8e;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[fr.Backward]:i.x[fr.Backward]||o.x===-1,[fr.Forward]:i.x[fr.Forward]||o.x===1},y:{[fr.Backward]:i.y[fr.Backward]||o.y===-1,[fr.Forward]:i.y[fr.Forward]||o.y===1}}},[n,t,r])}function Q8e(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return zm(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function Z8e(e,t){return L.useMemo(()=>e.reduce((n,r)=>{const{sensor:i}=r,o=i.activators.map(s=>({eventName:s.eventName,handler:t(s.handler,r)}));return[...n,...o]},[]),[e,t])}var 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Vs=L.useMemo(()=>({active:U,activeNode:le,activeNodeRect:pe,activatorEvent:B,collisions:qn,containerNodeRect:ve,dragOverlay:Me,draggableNodes:P,droppableContainers:O,droppableRects:ee,over:Gt,measureDroppableContainers:ie,scrollableAncestors:Bt,scrollableAncestorRects:it,measuringConfiguration:Z,measuringScheduled:se,windowRect:Wn}),[U,le,pe,B,qn,ve,Me,P,O,ee,Gt,ie,Bt,it,Z,se,Wn]),Ji=L.useMemo(()=>({activatorEvent:B,activators:Yr,active:U,activeNodeRect:pe,ariaDescribedById:{draggable:j},dispatch:_,draggableNodes:P,over:Gt,measureDroppableContainers:ie}),[B,Yr,U,pe,_,j,P,Gt,ie]);return Lt.createElement(Xj.Provider,{value:y},Lt.createElement(jm.Provider,{value:Ji},Lt.createElement(hG.Provider,{value:Vs},Lt.createElement(h2.Provider,{value:Xr},u)),Lt.createElement(g9e,{disabled:(a==null?void 0:a.restoreFocus)===!1})),Lt.createElement(y8e,{...a,hiddenTextDescribedById:j}));function js(){const Xt=(N==null?void 0:N.autoScrollEnabled)===!1,kt=typeof 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diff --git a/invokeai/frontend/web/dist/assets/menu-b42141e3.js b/invokeai/frontend/web/dist/assets/menu-e9f8a36e.js
similarity index 99%
rename from invokeai/frontend/web/dist/assets/menu-b42141e3.js
rename to invokeai/frontend/web/dist/assets/menu-e9f8a36e.js
index f9c000de8b..13e0b949f7 100644
--- a/invokeai/frontend/web/dist/assets/menu-b42141e3.js
+++ b/invokeai/frontend/web/dist/assets/menu-e9f8a36e.js
@@ -1 +1 @@
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diff --git a/invokeai/frontend/web/dist/index.html b/invokeai/frontend/web/dist/index.html
index 71e57e68c0..9bb5bb86fb 100644
--- a/invokeai/frontend/web/dist/index.html
+++ b/invokeai/frontend/web/dist/index.html
@@ -12,7 +12,7 @@
         margin: 0;
       }
     </style>
-    <script type="module" crossorigin src="./assets/index-dd054634.js"></script>
+    <script type="module" crossorigin src="./assets/index-815faab3.js"></script>
   </head>
 
   <body dir="ltr">

From 06296896a9db616fb44e747f7834cae0504926bf Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Fri, 11 Aug 2023 11:55:39 +1000
Subject: [PATCH 152/287] Update invokeai version

---
 invokeai/version/invokeai_version.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/version/invokeai_version.py b/invokeai/version/invokeai_version.py
index 1f71ca0010..131942e76a 100644
--- a/invokeai/version/invokeai_version.py
+++ b/invokeai/version/invokeai_version.py
@@ -1 +1 @@
-__version__ = "3.0.2rc1"
+__version__ = "3.0.2"

From 50415450d8f7a316fddc513be139548130783b9a Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Mon, 7 Aug 2023 10:23:02 -0400
Subject: [PATCH 153/287] invalidate board total when images deleted, only run
 date range logic if board has less than 20 images

---
 invokeai/frontend/web/src/services/api/endpoints/images.ts | 1 +
 1 file changed, 1 insertion(+)

diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index 0c52258f9d..34c5bdb305 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -989,6 +989,7 @@ export const imagesApi = api.injectEndpoints({
                 : true;
 
             if (isCacheFullyPopulated || isInDateRange) {
+              console.log('upserting');
               // *upsert* to $cache
               dispatch(
                 imagesApi.util.updateQueryData(

From 3b6e425e179e2c99bb041311544a79fa64b7830a Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Thu, 10 Aug 2023 13:38:52 -0400
Subject: [PATCH 154/287] fix error detail in toast

---
 .../web/src/features/system/store/systemSlice.ts    | 11 +++++++++--
 .../frontend/web/src/services/api/thunks/session.ts | 13 ++++++++++++-
 2 files changed, 21 insertions(+), 3 deletions(-)

diff --git a/invokeai/frontend/web/src/features/system/store/systemSlice.ts b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
index fba980131e..079819fce7 100644
--- a/invokeai/frontend/web/src/features/system/store/systemSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
@@ -365,12 +365,19 @@ export const systemSlice = createSlice({
       state.statusTranslationKey = 'common.statusConnected';
       state.progressImage = null;
 
+      let errorDescription = undefined;
+
+      if (action.payload?.status === 422) {
+        errorDescription = 'Validation Error';
+      } else if (action.payload?.error) {
+        errorDescription = action.payload?.error as string;
+      }
+
       state.toastQueue.push(
         makeToast({
           title: t('toast.serverError'),
           status: 'error',
-          description:
-            action.payload?.status === 422 ? 'Validation Error' : undefined,
+          description: errorDescription,
         })
       );
     });
diff --git a/invokeai/frontend/web/src/services/api/thunks/session.ts b/invokeai/frontend/web/src/services/api/thunks/session.ts
index 5588f25b46..29b032d1c3 100644
--- a/invokeai/frontend/web/src/services/api/thunks/session.ts
+++ b/invokeai/frontend/web/src/services/api/thunks/session.ts
@@ -60,6 +60,9 @@ type InvokedSessionThunkConfig = {
 const isErrorWithStatus = (error: unknown): error is { status: number } =>
   isObject(error) && 'status' in error;
 
+const isErrorWithDetail = (error: unknown): error is { detail: string } =>
+  isObject(error) && 'detail' in error;
+
 /**
  * `SessionsService.invokeSession()` thunk
  */
@@ -85,7 +88,15 @@ export const sessionInvoked = createAsyncThunk<
         error: (error as any).body.detail,
       });
     }
-    return rejectWithValue({ arg, status: response.status, error });
+    if (isErrorWithDetail(error) && response.status === 403) {
+      return rejectWithValue({
+        arg,
+        status: response.status,
+        error: error.detail
+      });
+    }
+    if (error)
+      return rejectWithValue({ arg, status: response.status, error });
   }
 });
 

From 80fd4c21761c7b7db3180ecab2f8e0d583c11f4a Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Thu, 10 Aug 2023 13:42:30 -0400
Subject: [PATCH 155/287] undo lint changes

---
 invokeai/frontend/web/src/services/api/endpoints/images.ts | 1 -
 1 file changed, 1 deletion(-)

diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index 34c5bdb305..0c52258f9d 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -989,7 +989,6 @@ export const imagesApi = api.injectEndpoints({
                 : true;
 
             if (isCacheFullyPopulated || isInDateRange) {
-              console.log('upserting');
               // *upsert* to $cache
               dispatch(
                 imagesApi.util.updateQueryData(

From 7c0023ad9e6b04cf9c47dbd2113349d699b14821 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Fri, 11 Aug 2023 22:20:37 +1200
Subject: [PATCH 156/287] feat: Remove TextToLatents / Rename Latents To
 Latents -> DenoiseLatents

---
 invokeai/app/invocations/latent.py | 178 ++++++-----------------------
 1 file changed, 32 insertions(+), 146 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index c24e9aeba1..743e3f54b2 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -5,6 +5,7 @@ from typing import List, Literal, Optional, Union
 
 import einops
 import torch
+import torchvision.transforms as T
 from diffusers.image_processor import VaeImageProcessor
 from diffusers.models.attention_processor import (
     AttnProcessor2_0,
@@ -14,18 +15,14 @@ from diffusers.models.attention_processor import (
 )
 from diffusers.schedulers import SchedulerMixin as Scheduler
 from pydantic import BaseModel, Field, validator
+from torchvision.transforms.functional import resize as tv_resize
 
 from invokeai.app.invocations.metadata import CoreMetadata
 from invokeai.app.util.controlnet_utils import prepare_control_image
 from invokeai.app.util.step_callback import stable_diffusion_step_callback
 from invokeai.backend.model_management.models import ModelType, SilenceWarnings
-from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext
-from .compel import ConditioningField
-from .controlnet_image_processors import ControlField
-from .image import ImageOutput
-from .model import ModelInfo, UNetField, VaeField
-from ..models.image import ImageCategory, ImageField, ResourceOrigin
-from ...backend.model_management import ModelPatcher, BaseModelType
+
+from ...backend.model_management import BaseModelType, ModelPatcher
 from ...backend.stable_diffusion import PipelineIntermediateState
 from ...backend.stable_diffusion.diffusers_pipeline import (
     ConditioningData,
@@ -35,11 +32,13 @@ from ...backend.stable_diffusion.diffusers_pipeline import (
 )
 from ...backend.stable_diffusion.diffusion.shared_invokeai_diffusion import PostprocessingSettings
 from ...backend.stable_diffusion.schedulers import SCHEDULER_MAP
-from ...backend.util.devices import choose_torch_device, torch_dtype, choose_precision
-
-import torchvision.transforms as T
-from torchvision.transforms.functional import resize as tv_resize
-
+from ...backend.util.devices import choose_precision, choose_torch_device, torch_dtype
+from ..models.image import ImageCategory, ImageField, ResourceOrigin
+from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext
+from .compel import ConditioningField
+from .controlnet_image_processors import ControlField
+from .image import ImageOutput
+from .model import ModelInfo, UNetField, VaeField
 
 DEFAULT_PRECISION = choose_precision(choose_torch_device())
 
@@ -106,26 +105,31 @@ def get_scheduler(
     return scheduler
 
 
-# Text to image
-class TextToLatentsInvocation(BaseInvocation):
-    """Generates latents from conditionings."""
+class DenoiseLatentsInvocation(BaseInvocation):
+    """Denoises noisy latents to decodable images"""
 
-    type: Literal["t2l"] = "t2l"
+    type: Literal["denoise_latents"] = "denoise_latents"
 
     # Inputs
-    # fmt: off
     positive_conditioning: Optional[ConditioningField] = Field(description="Positive conditioning for generation")
     negative_conditioning: Optional[ConditioningField] = Field(description="Negative conditioning for generation")
     noise: Optional[LatentsField] = Field(description="The noise to use")
-    steps:       int = Field(default=10, gt=0, description="The number of steps to use to generate the image")
-    cfg_scale: Union[float, List[float]] = Field(default=7.5, ge=1, description="The Classifier-Free Guidance, higher values may result in a result closer to the prompt", )
-    scheduler: SAMPLER_NAME_VALUES = Field(default="euler", description="The scheduler to use" )
+    steps: int = Field(default=10, gt=0, description="The number of steps to use to generate the image")
+    cfg_scale: Union[float, List[float]] = Field(
+        default=7.5,
+        ge=1,
+        description="The Classifier-Free Guidance, higher values may result in a result closer to the prompt",
+    )
+    denoising_start: float = Field(default=0.0, ge=0, le=1, description="")
+    denoising_end: float = Field(default=1.0, ge=0, le=1, description="")
+    scheduler: SAMPLER_NAME_VALUES = Field(default="euler", description="The scheduler to use")
     unet: UNetField = Field(default=None, description="UNet submodel")
     control: Union[ControlField, list[ControlField]] = Field(default=None, description="The control to use")
-    denoising_end: float = Field(default=1.0, ge=0, le=1, description="")
-    # seamless:   bool = Field(default=False, description="Whether or not to generate an image that can tile without seams", )
-    # seamless_axes: str = Field(default="", description="The axes to tile the image on, 'x' and/or 'y'")
-    # fmt: on
+    latents: Optional[LatentsField] = Field(description="The latents to use as a base image")
+    mask: Optional[ImageField] = Field(
+        None,
+        description="Mask",
+    )
 
     @validator("cfg_scale")
     def ge_one(cls, v):
@@ -143,12 +147,11 @@ class TextToLatentsInvocation(BaseInvocation):
     class Config(InvocationConfig):
         schema_extra = {
             "ui": {
-                "title": "Text To Latents",
-                "tags": ["latents"],
+                "title": "Denoise Latents",
+                "tags": ["denoise", "latents"],
                 "type_hints": {
                     "model": "model",
                     "control": "control",
-                    # "cfg_scale": "float",
                     "cfg_scale": "number",
                 },
             },
@@ -320,7 +323,7 @@ class TextToLatentsInvocation(BaseInvocation):
 
         t_start = int(round(denoising_start * num_inference_steps))
         timesteps = scheduler.timesteps[t_start * scheduler.order :]
-        num_inference_steps = num_inference_steps - t_start                
+        num_inference_steps = num_inference_steps - t_start
 
         # apply denoising_end
         num_warmup_steps = max(len(timesteps) - num_inference_steps * scheduler.order, 0)
@@ -331,121 +334,6 @@ class TextToLatentsInvocation(BaseInvocation):
 
         return num_inference_steps, timesteps
 
-
-    @torch.no_grad()
-    def invoke(self, context: InvocationContext) -> LatentsOutput:
-        with SilenceWarnings():
-            noise = context.services.latents.get(self.noise.latents_name)
-            seed = self.noise.seed
-            if seed is None:
-                seed = 0
-
-            # Get the source node id (we are invoking the prepared node)
-            graph_execution_state = context.services.graph_execution_manager.get(context.graph_execution_state_id)
-            source_node_id = graph_execution_state.prepared_source_mapping[self.id]
-
-            def step_callback(state: PipelineIntermediateState):
-                self.dispatch_progress(context, source_node_id, state, self.unet.unet.base_model)
-
-            def _lora_loader():
-                for lora in self.unet.loras:
-                    lora_info = context.services.model_manager.get_model(
-                        **lora.dict(exclude={"weight"}),
-                        context=context,
-                    )
-                    yield (lora_info.context.model, lora.weight)
-                    del lora_info
-                return
-
-            unet_info = context.services.model_manager.get_model(
-                **self.unet.unet.dict(),
-                context=context,
-            )
-            with ExitStack() as exit_stack, ModelPatcher.apply_lora_unet(
-                unet_info.context.model, _lora_loader()
-            ), unet_info as unet:
-                noise = noise.to(device=unet.device, dtype=unet.dtype)
-
-                scheduler = get_scheduler(
-                    context=context,
-                    scheduler_info=self.unet.scheduler,
-                    scheduler_name=self.scheduler,
-                )
-
-                pipeline = self.create_pipeline(unet, scheduler)
-                conditioning_data = self.get_conditioning_data(context, scheduler, unet, seed)
-
-                control_data = self.prep_control_data(
-                    model=pipeline,
-                    context=context,
-                    control_input=self.control,
-                    latents_shape=noise.shape,
-                    # do_classifier_free_guidance=(self.cfg_scale >= 1.0))
-                    do_classifier_free_guidance=True,
-                    exit_stack=exit_stack,
-                )
-
-                num_inference_steps, timesteps = self.init_scheduler(
-                    scheduler,
-                    device=unet.device,
-                    steps=self.steps,
-                    denoising_start=0.0,
-                    denoising_end=self.denoising_end,
-                )
-
-                # TODO: Verify the noise is the right size
-                result_latents, result_attention_map_saver = pipeline.latents_from_embeddings(
-                    latents=torch.zeros_like(noise, dtype=torch_dtype(unet.device)),
-                    noise=noise,
-                    seed=seed,
-                    timesteps=timesteps,
-                    num_inference_steps=num_inference_steps,
-                    conditioning_data=conditioning_data,
-                    control_data=control_data,  # list[ControlNetData]
-                    callback=step_callback,
-                )
-
-            # https://discuss.huggingface.co/t/memory-usage-by-later-pipeline-stages/23699
-            result_latents = result_latents.to("cpu")
-            torch.cuda.empty_cache()
-
-            name = f"{context.graph_execution_state_id}__{self.id}"
-            context.services.latents.save(name, result_latents)
-            return build_latents_output(latents_name=name, latents=result_latents, seed=seed)
-
-
-class LatentsToLatentsInvocation(TextToLatentsInvocation):
-    """Generates latents using latents as base image."""
-
-    type: Literal["l2l"] = "l2l"
-
-    # Inputs
-    noise: Optional[LatentsField] = Field(description="The noise to use (test override for future optional)")
-
-    # denoising_start = 1 - strength
-    denoising_start: float = Field(default=0.0, ge=0, le=1, description="")
-    #denoising_end: float = Field(default=1.0, ge=0, le=1, description="")
-
-    latents: Optional[LatentsField] = Field(description="The latents to use as a base image")
-
-    mask: Optional[ImageField] = Field(
-        None, description="Mask",
-    )
-
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "Latent To Latents",
-                "tags": ["latents"],
-                "type_hints": {
-                    "model": "model",
-                    "control": "control",
-                    "cfg_scale": "number",
-                },
-            },
-        }
-
     def prep_mask_tensor(self, mask, context, lantents):
         if mask is None:
             return None
@@ -457,9 +345,7 @@ class LatentsToLatentsInvocation(TextToLatentsInvocation):
         mask_tensor = image_resized_to_grid_as_tensor(mask_image, normalize=False)
         if mask_tensor.dim() == 3:
             mask_tensor = mask_tensor.unsqueeze(0)
-        mask_tensor = tv_resize(
-            mask_tensor, lantents.shape[-2:], T.InterpolationMode.BILINEAR
-        )
+        mask_tensor = tv_resize(mask_tensor, lantents.shape[-2:], T.InterpolationMode.BILINEAR)
         return 1 - mask_tensor
 
     @torch.no_grad()

From 87ce4ab27c111c82c195da9f3c1be4cf03c655eb Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Fri, 11 Aug 2023 22:21:13 +1200
Subject: [PATCH 157/287] fix: Update default_graph to use new DenoiseLatents

---
 invokeai/app/services/default_graphs.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/services/default_graphs.py b/invokeai/app/services/default_graphs.py
index cafb6f0339..caee5b631e 100644
--- a/invokeai/app/services/default_graphs.py
+++ b/invokeai/app/services/default_graphs.py
@@ -1,4 +1,4 @@
-from ..invocations.latent import LatentsToImageInvocation, TextToLatentsInvocation
+from ..invocations.latent import LatentsToImageInvocation, DenoiseLatentsInvocation
 from ..invocations.image import ImageNSFWBlurInvocation
 from ..invocations.noise import NoiseInvocation
 from ..invocations.compel import CompelInvocation
@@ -23,7 +23,7 @@ def create_text_to_image() -> LibraryGraph:
                 "3": NoiseInvocation(id="3"),
                 "4": CompelInvocation(id="4"),
                 "5": CompelInvocation(id="5"),
-                "6": TextToLatentsInvocation(id="6"),
+                "6": DenoiseLatentsInvocation(id="6"),
                 "7": LatentsToImageInvocation(id="7"),
                 "8": ImageNSFWBlurInvocation(id="8"),
             },

From 7479f9cc02d51857cee652c4a576a9c4915f87eb Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Fri, 11 Aug 2023 22:22:01 +1200
Subject: [PATCH 158/287] feat: Update LinearUI to use new backend (except
 Inpaint)

---
 invokeai/frontend/web/scripts/typegen.js      |   2 +-
 .../graphBuilders/addSDXLRefinerToGraph.ts    |  18 +-
 .../buildCanvasImageToImageGraph.ts           |  27 +-
 .../buildCanvasTextToImageGraph.ts            |  36 +-
 .../buildLinearImageToImageGraph.ts           |  27 +-
 .../buildLinearSDXLImageToImageGraph.ts       |  26 +-
 .../buildLinearSDXLTextToImageGraph.ts        |  23 +-
 .../buildLinearTextToImageGraph.ts            |  36 +-
 .../nodes/util/graphBuilders/constants.ts     |   2 +-
 .../src/features/system/store/configSlice.ts  |   2 +-
 .../frontend/web/src/services/api/schema.d.ts | 816 +++++-------------
 .../frontend/web/src/services/api/types.ts    |  10 +-
 12 files changed, 317 insertions(+), 708 deletions(-)

diff --git a/invokeai/frontend/web/scripts/typegen.js b/invokeai/frontend/web/scripts/typegen.js
index 015ae918ab..ec67c48f2d 100644
--- a/invokeai/frontend/web/scripts/typegen.js
+++ b/invokeai/frontend/web/scripts/typegen.js
@@ -1,7 +1,7 @@
 import fs from 'node:fs';
 import openapiTS from 'openapi-typescript';
 
-const OPENAPI_URL = 'http://localhost:9090/openapi.json';
+const OPENAPI_URL = 'http://127.0.0.1:9090/openapi.json';
 const OUTPUT_FILE = 'src/services/api/schema.d.ts';
 
 async function main() {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
index c47c7be8b4..3faf72fb2e 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
@@ -2,12 +2,12 @@ import { RootState } from 'app/store/store';
 import { MetadataAccumulatorInvocation } from 'services/api/types';
 import { NonNullableGraph } from '../../types/types';
 import {
+  DENOISE_LATENTS,
   IMAGE_TO_LATENTS,
   LATENTS_TO_IMAGE,
   METADATA_ACCUMULATOR,
   SDXL_LATENTS_TO_LATENTS,
   SDXL_MODEL_LOADER,
-  SDXL_REFINER_LATENTS_TO_LATENTS,
   SDXL_REFINER_MODEL_LOADER,
   SDXL_REFINER_NEGATIVE_CONDITIONING,
   SDXL_REFINER_POSITIVE_CONDITIONING,
@@ -91,9 +91,9 @@ export const addSDXLRefinerToGraph = (
     style: `${negativePrompt} ${negativeStylePrompt}`,
     aesthetic_score: refinerAestheticScore,
   };
-  graph.nodes[SDXL_REFINER_LATENTS_TO_LATENTS] = {
-    type: 'l2l_sdxl',
-    id: SDXL_REFINER_LATENTS_TO_LATENTS,
+  graph.nodes[DENOISE_LATENTS] = {
+    type: 'denoise_latents',
+    id: DENOISE_LATENTS,
     cfg_scale: refinerCFGScale,
     steps: refinerSteps / (1 - Math.min(refinerStart, 0.99)),
     scheduler: refinerScheduler,
@@ -108,7 +108,7 @@ export const addSDXLRefinerToGraph = (
         field: 'unet',
       },
       destination: {
-        node_id: SDXL_REFINER_LATENTS_TO_LATENTS,
+        node_id: DENOISE_LATENTS,
         field: 'unet',
       },
     },
@@ -148,7 +148,7 @@ export const addSDXLRefinerToGraph = (
         field: 'conditioning',
       },
       destination: {
-        node_id: SDXL_REFINER_LATENTS_TO_LATENTS,
+        node_id: DENOISE_LATENTS,
         field: 'positive_conditioning',
       },
     },
@@ -158,7 +158,7 @@ export const addSDXLRefinerToGraph = (
         field: 'conditioning',
       },
       destination: {
-        node_id: SDXL_REFINER_LATENTS_TO_LATENTS,
+        node_id: DENOISE_LATENTS,
         field: 'negative_conditioning',
       },
     },
@@ -168,13 +168,13 @@ export const addSDXLRefinerToGraph = (
         field: 'latents',
       },
       destination: {
-        node_id: SDXL_REFINER_LATENTS_TO_LATENTS,
+        node_id: DENOISE_LATENTS,
         field: 'latents',
       },
     },
     {
       source: {
-        node_id: SDXL_REFINER_LATENTS_TO_LATENTS,
+        node_id: DENOISE_LATENTS,
         field: 'latents',
       },
       destination: {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
index 42f768c107..181a0d9294 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
@@ -15,10 +15,10 @@ import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
   CLIP_SKIP,
+  DENOISE_LATENTS,
   IMAGE_TO_IMAGE_GRAPH,
   IMAGE_TO_LATENTS,
   LATENTS_TO_IMAGE,
-  LATENTS_TO_LATENTS,
   MAIN_MODEL_LOADER,
   METADATA_ACCUMULATOR,
   NEGATIVE_CONDITIONING,
@@ -105,14 +105,15 @@ export const buildCanvasImageToImageGraph = (
         is_intermediate: true,
         skipped_layers: clipSkip,
       },
-      [LATENTS_TO_LATENTS]: {
-        type: 'l2l',
-        id: LATENTS_TO_LATENTS,
+      [DENOISE_LATENTS]: {
+        type: 'denoise_latents',
+        id: DENOISE_LATENTS,
         is_intermediate: true,
         cfg_scale,
         scheduler,
         steps,
-        strength,
+        denoising_start: 1 - strength,
+        denoising_end: 1,
       },
       [IMAGE_TO_LATENTS]: {
         type: 'i2l',
@@ -162,7 +163,7 @@ export const buildCanvasImageToImageGraph = (
       },
       {
         source: {
-          node_id: LATENTS_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'latents',
         },
         destination: {
@@ -176,7 +177,7 @@ export const buildCanvasImageToImageGraph = (
           field: 'latents',
         },
         destination: {
-          node_id: LATENTS_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'latents',
         },
       },
@@ -186,7 +187,7 @@ export const buildCanvasImageToImageGraph = (
           field: 'noise',
         },
         destination: {
-          node_id: LATENTS_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'noise',
         },
       },
@@ -196,7 +197,7 @@ export const buildCanvasImageToImageGraph = (
           field: 'unet',
         },
         destination: {
-          node_id: LATENTS_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'unet',
         },
       },
@@ -206,7 +207,7 @@ export const buildCanvasImageToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: LATENTS_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'negative_conditioning',
         },
       },
@@ -216,7 +217,7 @@ export const buildCanvasImageToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: LATENTS_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'positive_conditioning',
         },
       },
@@ -324,7 +325,7 @@ export const buildCanvasImageToImageGraph = (
   });
 
   // add LoRA support
-  addLoRAsToGraph(state, graph, LATENTS_TO_LATENTS);
+  addLoRAsToGraph(state, graph, DENOISE_LATENTS);
 
   // optionally add custom VAE
   addVAEToGraph(state, graph);
@@ -333,7 +334,7 @@ export const buildCanvasImageToImageGraph = (
   addDynamicPromptsToGraph(state, graph);
 
   // add controlnet, mutating `graph`
-  addControlNetToLinearGraph(state, graph, LATENTS_TO_LATENTS);
+  addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
 
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
index 5b636b482a..9e25f97586 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
@@ -2,6 +2,10 @@ import { logger } from 'app/logging/logger';
 import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
 import { initialGenerationState } from 'features/parameters/store/generationSlice';
+import {
+  DenoiseLatentsInvocation,
+  ONNXTextToLatentsInvocation,
+} from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
@@ -10,20 +14,16 @@ import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
   CLIP_SKIP,
+  DENOISE_LATENTS,
   LATENTS_TO_IMAGE,
   MAIN_MODEL_LOADER,
-  ONNX_MODEL_LOADER,
   METADATA_ACCUMULATOR,
   NEGATIVE_CONDITIONING,
   NOISE,
+  ONNX_MODEL_LOADER,
   POSITIVE_CONDITIONING,
   TEXT_TO_IMAGE_GRAPH,
-  TEXT_TO_LATENTS,
 } from './constants';
-import {
-  ONNXTextToLatentsInvocation,
-  TextToLatentsInvocation,
-} from 'services/api/types';
 
 /**
  * Builds the Canvas tab's Text to Image graph.
@@ -64,23 +64,25 @@ export const buildCanvasTextToImageGraph = (
   const modelLoaderNodeType = isUsingOnnxModel
     ? 'onnx_model_loader'
     : 'main_model_loader';
-  const t2lNode: TextToLatentsInvocation | ONNXTextToLatentsInvocation =
+  const t2lNode: DenoiseLatentsInvocation | ONNXTextToLatentsInvocation =
     isUsingOnnxModel
       ? {
           type: 't2l_onnx',
-          id: TEXT_TO_LATENTS,
+          id: DENOISE_LATENTS,
           is_intermediate: true,
           cfg_scale,
           scheduler,
           steps,
         }
       : {
-          type: 't2l',
-          id: TEXT_TO_LATENTS,
+          type: 'denoise_latents',
+          id: DENOISE_LATENTS,
           is_intermediate: true,
           cfg_scale,
           scheduler,
           steps,
+          denoising_start: 0,
+          denoising_end: 1,
         };
   /**
    * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
@@ -142,7 +144,7 @@ export const buildCanvasTextToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: TEXT_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'negative_conditioning',
         },
       },
@@ -152,7 +154,7 @@ export const buildCanvasTextToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: TEXT_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'positive_conditioning',
         },
       },
@@ -192,13 +194,13 @@ export const buildCanvasTextToImageGraph = (
           field: 'unet',
         },
         destination: {
-          node_id: TEXT_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'unet',
         },
       },
       {
         source: {
-          node_id: TEXT_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'latents',
         },
         destination: {
@@ -212,7 +214,7 @@ export const buildCanvasTextToImageGraph = (
           field: 'noise',
         },
         destination: {
-          node_id: TEXT_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'noise',
         },
       },
@@ -252,7 +254,7 @@ export const buildCanvasTextToImageGraph = (
   });
 
   // add LoRA support
-  addLoRAsToGraph(state, graph, TEXT_TO_LATENTS, modelLoaderNodeId);
+  addLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId);
 
   // optionally add custom VAE
   addVAEToGraph(state, graph, modelLoaderNodeId);
@@ -261,7 +263,7 @@ export const buildCanvasTextToImageGraph = (
   addDynamicPromptsToGraph(state, graph);
 
   // add controlnet, mutating `graph`
-  addControlNetToLinearGraph(state, graph, TEXT_TO_LATENTS);
+  addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
 
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
index f264edc6be..69d5227ea2 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
@@ -14,10 +14,10 @@ import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
   CLIP_SKIP,
+  DENOISE_LATENTS,
   IMAGE_TO_IMAGE_GRAPH,
   IMAGE_TO_LATENTS,
   LATENTS_TO_IMAGE,
-  LATENTS_TO_LATENTS,
   MAIN_MODEL_LOADER,
   METADATA_ACCUMULATOR,
   NEGATIVE_CONDITIONING,
@@ -118,13 +118,14 @@ export const buildLinearImageToImageGraph = (
         id: LATENTS_TO_IMAGE,
         fp32: vaePrecision === 'fp32' ? true : false,
       },
-      [LATENTS_TO_LATENTS]: {
-        type: 'l2l',
-        id: LATENTS_TO_LATENTS,
+      [DENOISE_LATENTS]: {
+        type: 'denoise_latents',
+        id: DENOISE_LATENTS,
         cfg_scale,
         scheduler,
         steps,
-        strength,
+        denoising_start: 1 - strength,
+        denoising_end: 1,
       },
       [IMAGE_TO_LATENTS]: {
         type: 'i2l',
@@ -143,7 +144,7 @@ export const buildLinearImageToImageGraph = (
           field: 'unet',
         },
         destination: {
-          node_id: LATENTS_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'unet',
         },
       },
@@ -179,7 +180,7 @@ export const buildLinearImageToImageGraph = (
       },
       {
         source: {
-          node_id: LATENTS_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'latents',
         },
         destination: {
@@ -193,7 +194,7 @@ export const buildLinearImageToImageGraph = (
           field: 'latents',
         },
         destination: {
-          node_id: LATENTS_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'latents',
         },
       },
@@ -203,7 +204,7 @@ export const buildLinearImageToImageGraph = (
           field: 'noise',
         },
         destination: {
-          node_id: LATENTS_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'noise',
         },
       },
@@ -213,7 +214,7 @@ export const buildLinearImageToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: LATENTS_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'negative_conditioning',
         },
       },
@@ -223,7 +224,7 @@ export const buildLinearImageToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: LATENTS_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'positive_conditioning',
         },
       },
@@ -334,7 +335,7 @@ export const buildLinearImageToImageGraph = (
   });
 
   // add LoRA support
-  addLoRAsToGraph(state, graph, LATENTS_TO_LATENTS);
+  addLoRAsToGraph(state, graph, DENOISE_LATENTS);
 
   // optionally add custom VAE
   addVAEToGraph(state, graph);
@@ -343,7 +344,7 @@ export const buildLinearImageToImageGraph = (
   addDynamicPromptsToGraph(state, graph);
 
   // add controlnet, mutating `graph`
-  addControlNetToLinearGraph(state, graph, LATENTS_TO_LATENTS);
+  addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
 
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index 0ec4e096d9..98f9458ae0 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -8,9 +8,11 @@ import {
 } from 'services/api/types';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
+import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
+  DENOISE_LATENTS,
   IMAGE_TO_LATENTS,
   LATENTS_TO_IMAGE,
   METADATA_ACCUMULATOR,
@@ -19,10 +21,8 @@ import {
   POSITIVE_CONDITIONING,
   RESIZE,
   SDXL_IMAGE_TO_IMAGE_GRAPH,
-  SDXL_LATENTS_TO_LATENTS,
   SDXL_MODEL_LOADER,
 } from './constants';
-import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 
 /**
  * Builds the Image to Image tab graph.
@@ -115,9 +115,9 @@ export const buildLinearSDXLImageToImageGraph = (
         id: LATENTS_TO_IMAGE,
         fp32: vaePrecision === 'fp32' ? true : false,
       },
-      [SDXL_LATENTS_TO_LATENTS]: {
-        type: 'l2l_sdxl',
-        id: SDXL_LATENTS_TO_LATENTS,
+      [DENOISE_LATENTS]: {
+        type: 'denoise_latents',
+        id: DENOISE_LATENTS,
         cfg_scale,
         scheduler,
         steps,
@@ -143,7 +143,7 @@ export const buildLinearSDXLImageToImageGraph = (
           field: 'unet',
         },
         destination: {
-          node_id: SDXL_LATENTS_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'unet',
         },
       },
@@ -209,7 +209,7 @@ export const buildLinearSDXLImageToImageGraph = (
       },
       {
         source: {
-          node_id: SDXL_LATENTS_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'latents',
         },
         destination: {
@@ -223,7 +223,7 @@ export const buildLinearSDXLImageToImageGraph = (
           field: 'latents',
         },
         destination: {
-          node_id: SDXL_LATENTS_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'latents',
         },
       },
@@ -233,7 +233,7 @@ export const buildLinearSDXLImageToImageGraph = (
           field: 'noise',
         },
         destination: {
-          node_id: SDXL_LATENTS_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'noise',
         },
       },
@@ -243,7 +243,7 @@ export const buildLinearSDXLImageToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: SDXL_LATENTS_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'positive_conditioning',
         },
       },
@@ -253,7 +253,7 @@ export const buildLinearSDXLImageToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: SDXL_LATENTS_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'negative_conditioning',
         },
       },
@@ -365,11 +365,11 @@ export const buildLinearSDXLImageToImageGraph = (
     },
   });
 
-  addSDXLLoRAsToGraph(state, graph, SDXL_LATENTS_TO_LATENTS, SDXL_MODEL_LOADER);
+  addSDXLLoRAsToGraph(state, graph, DENOISE_LATENTS, SDXL_MODEL_LOADER);
 
   // Add Refiner if enabled
   if (shouldUseSDXLRefiner) {
-    addSDXLRefinerToGraph(state, graph, SDXL_LATENTS_TO_LATENTS);
+    addSDXLRefinerToGraph(state, graph, DENOISE_LATENTS);
   }
 
   // add dynamic prompts - also sets up core iteration and seed
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
index 21b7c1e0ac..566eb6536e 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -8,6 +8,7 @@ import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
+  DENOISE_LATENTS,
   LATENTS_TO_IMAGE,
   METADATA_ACCUMULATOR,
   NEGATIVE_CONDITIONING,
@@ -15,7 +16,6 @@ import {
   POSITIVE_CONDITIONING,
   SDXL_MODEL_LOADER,
   SDXL_TEXT_TO_IMAGE_GRAPH,
-  SDXL_TEXT_TO_LATENTS,
 } from './constants';
 
 export const buildLinearSDXLTextToImageGraph = (
@@ -95,12 +95,13 @@ export const buildLinearSDXLTextToImageGraph = (
         height,
         use_cpu,
       },
-      [SDXL_TEXT_TO_LATENTS]: {
-        type: 't2l_sdxl',
-        id: SDXL_TEXT_TO_LATENTS,
+      [DENOISE_LATENTS]: {
+        type: 'denoise_latents',
+        id: DENOISE_LATENTS,
         cfg_scale,
         scheduler,
         steps,
+        denoising_start: 0,
         denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
       },
       [LATENTS_TO_IMAGE]: {
@@ -116,7 +117,7 @@ export const buildLinearSDXLTextToImageGraph = (
           field: 'unet',
         },
         destination: {
-          node_id: SDXL_TEXT_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'unet',
         },
       },
@@ -176,7 +177,7 @@ export const buildLinearSDXLTextToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: SDXL_TEXT_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'positive_conditioning',
         },
       },
@@ -186,7 +187,7 @@ export const buildLinearSDXLTextToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: SDXL_TEXT_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'negative_conditioning',
         },
       },
@@ -196,13 +197,13 @@ export const buildLinearSDXLTextToImageGraph = (
           field: 'noise',
         },
         destination: {
-          node_id: SDXL_TEXT_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'noise',
         },
       },
       {
         source: {
-          node_id: SDXL_TEXT_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'latents',
         },
         destination: {
@@ -247,11 +248,11 @@ export const buildLinearSDXLTextToImageGraph = (
     },
   });
 
-  addSDXLLoRAsToGraph(state, graph, SDXL_TEXT_TO_LATENTS, SDXL_MODEL_LOADER);
+  addSDXLLoRAsToGraph(state, graph, DENOISE_LATENTS, SDXL_MODEL_LOADER);
 
   // Add Refiner if enabled
   if (shouldUseSDXLRefiner) {
-    addSDXLRefinerToGraph(state, graph, SDXL_TEXT_TO_LATENTS);
+    addSDXLRefinerToGraph(state, graph, DENOISE_LATENTS);
   }
 
   // add dynamic prompts - also sets up core iteration and seed
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
index 9dcc502d14..dcbbe69290 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
@@ -2,6 +2,10 @@ import { logger } from 'app/logging/logger';
 import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
 import { initialGenerationState } from 'features/parameters/store/generationSlice';
+import {
+  DenoiseLatentsInvocation,
+  ONNXTextToLatentsInvocation,
+} from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
@@ -10,20 +14,16 @@ import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
   CLIP_SKIP,
+  DENOISE_LATENTS,
   LATENTS_TO_IMAGE,
   MAIN_MODEL_LOADER,
-  ONNX_MODEL_LOADER,
   METADATA_ACCUMULATOR,
   NEGATIVE_CONDITIONING,
   NOISE,
+  ONNX_MODEL_LOADER,
   POSITIVE_CONDITIONING,
   TEXT_TO_IMAGE_GRAPH,
-  TEXT_TO_LATENTS,
 } from './constants';
-import {
-  ONNXTextToLatentsInvocation,
-  TextToLatentsInvocation,
-} from 'services/api/types';
 
 export const buildLinearTextToImageGraph = (
   state: RootState
@@ -60,23 +60,25 @@ export const buildLinearTextToImageGraph = (
   const modelLoaderNodeType = isUsingOnnxModel
     ? 'onnx_model_loader'
     : 'main_model_loader';
-  const t2lNode: TextToLatentsInvocation | ONNXTextToLatentsInvocation =
+  const t2lNode: DenoiseLatentsInvocation | ONNXTextToLatentsInvocation =
     isUsingOnnxModel
       ? {
           type: 't2l_onnx',
-          id: TEXT_TO_LATENTS,
+          id: DENOISE_LATENTS,
           is_intermediate: true,
           cfg_scale,
           scheduler,
           steps,
         }
       : {
-          type: 't2l',
-          id: TEXT_TO_LATENTS,
+          type: 'denoise_latents',
+          id: DENOISE_LATENTS,
           is_intermediate: true,
           cfg_scale,
           scheduler,
           steps,
+          denoising_start: 0,
+          denoising_end: 1,
         };
   /**
    * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
@@ -149,7 +151,7 @@ export const buildLinearTextToImageGraph = (
           field: 'unet',
         },
         destination: {
-          node_id: TEXT_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'unet',
         },
       },
@@ -179,7 +181,7 @@ export const buildLinearTextToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: TEXT_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'positive_conditioning',
         },
       },
@@ -189,13 +191,13 @@ export const buildLinearTextToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: TEXT_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'negative_conditioning',
         },
       },
       {
         source: {
-          node_id: TEXT_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'latents',
         },
         destination: {
@@ -209,7 +211,7 @@ export const buildLinearTextToImageGraph = (
           field: 'noise',
         },
         destination: {
-          node_id: TEXT_TO_LATENTS,
+          node_id: DENOISE_LATENTS,
           field: 'noise',
         },
       },
@@ -249,7 +251,7 @@ export const buildLinearTextToImageGraph = (
   });
 
   // add LoRA support
-  addLoRAsToGraph(state, graph, TEXT_TO_LATENTS, modelLoaderNodeId);
+  addLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId);
 
   // optionally add custom VAE
   addVAEToGraph(state, graph, modelLoaderNodeId);
@@ -258,7 +260,7 @@ export const buildLinearTextToImageGraph = (
   addDynamicPromptsToGraph(state, graph);
 
   // add controlnet, mutating `graph`
-  addControlNetToLinearGraph(state, graph, TEXT_TO_LATENTS);
+  addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
 
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index 7fa87c7f20..2282184521 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -1,7 +1,7 @@
 // friendly node ids
 export const POSITIVE_CONDITIONING = 'positive_conditioning';
 export const NEGATIVE_CONDITIONING = 'negative_conditioning';
-export const TEXT_TO_LATENTS = 'text_to_latents';
+export const DENOISE_LATENTS = 'denoise_latents';
 export const LATENTS_TO_IMAGE = 'latents_to_image';
 export const NSFW_CHECKER = 'nsfw_checker';
 export const WATERMARKER = 'invisible_watermark';
diff --git a/invokeai/frontend/web/src/features/system/store/configSlice.ts b/invokeai/frontend/web/src/features/system/store/configSlice.ts
index 6cff92a136..ff7a0c0700 100644
--- a/invokeai/frontend/web/src/features/system/store/configSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/configSlice.ts
@@ -61,7 +61,7 @@ export const initialConfigState: AppConfig = {
     },
     img2imgStrength: {
       initial: 0.7,
-      min: 0,
+      min: 0.01,
       sliderMax: 1,
       inputMax: 1,
       fineStep: 0.01,
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index fc3397820e..9755af9e32 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -179,6 +179,11 @@ export type paths = {
      * @description Gets a full-resolution image file
      */
     get: operations["get_image_full"];
+    /**
+     * Get Image Full 
+     * @description Gets a full-resolution image file
+     */
+    head: operations["get_image_full"];
   };
   "/api/v1/images/i/{image_name}/thumbnail": {
     /**
@@ -707,6 +712,51 @@ export type components = {
        */
       collection: (unknown)[];
     };
+    /**
+     * ColorCorrectInvocation 
+     * @description Shifts the colors of a target image to match the reference image, optionally 
+     * using a mask to only color-correct certain regions of the target image.
+     */
+    ColorCorrectInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default color_correct 
+       * @enum {string}
+       */
+      type?: "color_correct";
+      /**
+       * Image 
+       * @description The image to color-correct
+       */
+      image?: components["schemas"]["ImageField"];
+      /**
+       * Reference 
+       * @description Reference image for color-correction
+       */
+      reference?: components["schemas"]["ImageField"];
+      /**
+       * Mask 
+       * @description Mask to use when applying color-correction
+       */
+      mask?: components["schemas"]["ImageField"];
+      /**
+       * Mask Blur Radius 
+       * @description Mask blur radius 
+       * @default 8
+       */
+      mask_blur_radius?: number;
+    };
     /** ColorField */
     ColorField: {
       /**
@@ -1037,6 +1087,12 @@ export type components = {
      * @description Core generation metadata for an image generated in InvokeAI.
      */
     CoreMetadata: {
+      /**
+       * App Version 
+       * @description The version of InvokeAI used to generate this image 
+       * @default 3.0.2
+       */
+      app_version?: string;
       /**
        * Generation Mode 
        * @description The generation mode that output this image
@@ -1219,6 +1275,93 @@ export type components = {
       /** Deleted Images */
       deleted_images: (string)[];
     };
+    /**
+     * DenoiseLatentsInvocation 
+     * @description Denoises noisy latents to decodable images
+     */
+    DenoiseLatentsInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default denoise_latents 
+       * @enum {string}
+       */
+      type?: "denoise_latents";
+      /**
+       * Positive Conditioning 
+       * @description Positive conditioning for generation
+       */
+      positive_conditioning?: components["schemas"]["ConditioningField"];
+      /**
+       * Negative Conditioning 
+       * @description Negative conditioning for generation
+       */
+      negative_conditioning?: components["schemas"]["ConditioningField"];
+      /**
+       * Noise 
+       * @description The noise to use
+       */
+      noise?: components["schemas"]["LatentsField"];
+      /**
+       * Steps 
+       * @description The number of steps to use to generate the image 
+       * @default 10
+       */
+      steps?: number;
+      /**
+       * Cfg Scale 
+       * @description The Classifier-Free Guidance, higher values may result in a result closer to the prompt 
+       * @default 7.5
+       */
+      cfg_scale?: number | (number)[];
+      /**
+       * Denoising Start 
+       * @default 0
+       */
+      denoising_start?: number;
+      /**
+       * Denoising End 
+       * @default 1
+       */
+      denoising_end?: number;
+      /**
+       * Scheduler 
+       * @description The scheduler to use 
+       * @default euler 
+       * @enum {string}
+       */
+      scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
+      /**
+       * Unet 
+       * @description UNet submodel
+       */
+      unet?: components["schemas"]["UNetField"];
+      /**
+       * Control 
+       * @description The control to use
+       */
+      control?: components["schemas"]["ControlField"] | (components["schemas"]["ControlField"])[];
+      /**
+       * Latents 
+       * @description The latents to use as a base image
+       */
+      latents?: components["schemas"]["LatentsField"];
+      /**
+       * Mask 
+       * @description Mask
+       */
+      mask?: components["schemas"]["ImageField"];
+    };
     /**
      * DivideInvocation 
      * @description Divides two numbers
@@ -1443,7 +1586,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"]) | undefined;
+        [key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
       };
       /**
        * Edges 
@@ -1486,7 +1629,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
+        [key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
       };
       /**
        * Errors 
@@ -2593,171 +2736,6 @@ export type components = {
        */
       seed?: number;
     };
-    /**
-     * InpaintInvocation 
-     * @description Generates an image using inpaint.
-     */
-    InpaintInvocation: {
-      /**
-       * Id 
-       * @description The id of this node. Must be unique among all nodes.
-       */
-      id: string;
-      /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
-       * @default false
-       */
-      is_intermediate?: boolean;
-      /**
-       * Type 
-       * @default inpaint 
-       * @enum {string}
-       */
-      type?: "inpaint";
-      /**
-       * Positive Conditioning 
-       * @description Positive conditioning for generation
-       */
-      positive_conditioning?: components["schemas"]["ConditioningField"];
-      /**
-       * Negative Conditioning 
-       * @description Negative conditioning for generation
-       */
-      negative_conditioning?: components["schemas"]["ConditioningField"];
-      /**
-       * Seed 
-       * @description The seed to use (omit for random)
-       */
-      seed?: number;
-      /**
-       * Steps 
-       * @description The number of steps to use to generate the image 
-       * @default 30
-       */
-      steps?: number;
-      /**
-       * Width 
-       * @description The width of the resulting image 
-       * @default 512
-       */
-      width?: number;
-      /**
-       * Height 
-       * @description The height of the resulting image 
-       * @default 512
-       */
-      height?: number;
-      /**
-       * Cfg Scale 
-       * @description The Classifier-Free Guidance, higher values may result in a result closer to the prompt 
-       * @default 7.5
-       */
-      cfg_scale?: number;
-      /**
-       * Scheduler 
-       * @description The scheduler to use 
-       * @default euler 
-       * @enum {string}
-       */
-      scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
-      /**
-       * Unet 
-       * @description UNet model
-       */
-      unet?: components["schemas"]["UNetField"];
-      /**
-       * Vae 
-       * @description Vae model
-       */
-      vae?: components["schemas"]["VaeField"];
-      /**
-       * Image 
-       * @description The input image
-       */
-      image?: components["schemas"]["ImageField"];
-      /**
-       * Strength 
-       * @description The strength of the original image 
-       * @default 0.75
-       */
-      strength?: number;
-      /**
-       * Fit 
-       * @description Whether or not the result should be fit to the aspect ratio of the input image 
-       * @default true
-       */
-      fit?: boolean;
-      /**
-       * Mask 
-       * @description The mask
-       */
-      mask?: components["schemas"]["ImageField"];
-      /**
-       * Seam Size 
-       * @description The seam inpaint size (px) 
-       * @default 96
-       */
-      seam_size?: number;
-      /**
-       * Seam Blur 
-       * @description The seam inpaint blur radius (px) 
-       * @default 16
-       */
-      seam_blur?: number;
-      /**
-       * Seam Strength 
-       * @description The seam inpaint strength 
-       * @default 0.75
-       */
-      seam_strength?: number;
-      /**
-       * Seam Steps 
-       * @description The number of steps to use for seam inpaint 
-       * @default 30
-       */
-      seam_steps?: number;
-      /**
-       * Tile Size 
-       * @description The tile infill method size (px) 
-       * @default 32
-       */
-      tile_size?: number;
-      /**
-       * Infill Method 
-       * @description The method used to infill empty regions (px) 
-       * @default patchmatch 
-       * @enum {string}
-       */
-      infill_method?: "patchmatch" | "tile" | "solid";
-      /**
-       * Inpaint Width 
-       * @description The width of the inpaint region (px)
-       */
-      inpaint_width?: number;
-      /**
-       * Inpaint Height 
-       * @description The height of the inpaint region (px)
-       */
-      inpaint_height?: number;
-      /**
-       * Inpaint Fill 
-       * @description The solid infill method color 
-       * @default {
-       *   "r": 127,
-       *   "g": 127,
-       *   "b": 127,
-       *   "a": 255
-       * }
-       */
-      inpaint_fill?: components["schemas"]["ColorField"];
-      /**
-       * Inpaint Replace 
-       * @description The amount by which to replace masked areas with latent noise 
-       * @default 0
-       */
-      inpaint_replace?: number;
-    };
     /**
      * IntCollectionOutput 
      * @description A collection of integers
@@ -2854,6 +2832,11 @@ export type components = {
        * @description The name of the latents
        */
       latents_name: string;
+      /**
+       * Seed 
+       * @description Seed used to generate this latents
+       */
+      seed?: number;
     };
     /**
      * LatentsOutput 
@@ -2932,84 +2915,6 @@ export type components = {
        */
       metadata?: components["schemas"]["CoreMetadata"];
     };
-    /**
-     * LatentsToLatentsInvocation 
-     * @description Generates latents using latents as base image.
-     */
-    LatentsToLatentsInvocation: {
-      /**
-       * Id 
-       * @description The id of this node. Must be unique among all nodes.
-       */
-      id: string;
-      /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
-       * @default false
-       */
-      is_intermediate?: boolean;
-      /**
-       * Type 
-       * @default l2l 
-       * @enum {string}
-       */
-      type?: "l2l";
-      /**
-       * Positive Conditioning 
-       * @description Positive conditioning for generation
-       */
-      positive_conditioning?: components["schemas"]["ConditioningField"];
-      /**
-       * Negative Conditioning 
-       * @description Negative conditioning for generation
-       */
-      negative_conditioning?: components["schemas"]["ConditioningField"];
-      /**
-       * Noise 
-       * @description The noise to use
-       */
-      noise?: components["schemas"]["LatentsField"];
-      /**
-       * Steps 
-       * @description The number of steps to use to generate the image 
-       * @default 10
-       */
-      steps?: number;
-      /**
-       * Cfg Scale 
-       * @description The Classifier-Free Guidance, higher values may result in a result closer to the prompt 
-       * @default 7.5
-       */
-      cfg_scale?: number | (number)[];
-      /**
-       * Scheduler 
-       * @description The scheduler to use 
-       * @default euler 
-       * @enum {string}
-       */
-      scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
-      /**
-       * Unet 
-       * @description UNet submodel
-       */
-      unet?: components["schemas"]["UNetField"];
-      /**
-       * Control 
-       * @description The control to use
-       */
-      control?: components["schemas"]["ControlField"] | (components["schemas"]["ControlField"])[];
-      /**
-       * Latents 
-       * @description The latents to use as a base image
-       */
-      latents?: components["schemas"]["LatentsField"];
-      /**
-       * Strength 
-       * @description The strength of the latents to use 
-       * @default 0.7
-       */
-      strength?: number;
-    };
     /**
      * LeresImageProcessorInvocation 
      * @description Applies leres processing to image
@@ -3368,6 +3273,54 @@ export type components = {
        */
       model: components["schemas"]["MainModelField"];
     };
+    /**
+     * MaskEdgeInvocation 
+     * @description Applies an edge mask to an image
+     */
+    MaskEdgeInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default mask_edge 
+       * @enum {string}
+       */
+      type?: "mask_edge";
+      /**
+       * Image 
+       * @description The image to apply the mask to
+       */
+      image?: components["schemas"]["ImageField"];
+      /**
+       * Edge Size 
+       * @description The size of the edge
+       */
+      edge_size: number;
+      /**
+       * Edge Blur 
+       * @description The amount of blur on the edge
+       */
+      edge_blur: number;
+      /**
+       * Low Threshold 
+       * @description First threshold for the hysteresis procedure in Canny edge detection
+       */
+      low_threshold: number;
+      /**
+       * High Threshold 
+       * @description Second threshold for the hysteresis procedure in Canny edge detection
+       */
+      high_threshold: number;
+    };
     /**
      * MaskFromAlphaInvocation 
      * @description Extracts the alpha channel of an image as a mask.
@@ -4937,83 +4890,6 @@ export type components = {
        */
       clip2?: components["schemas"]["ClipField"];
     };
-    /**
-     * SDXLLatentsToLatentsInvocation 
-     * @description Generates latents from conditionings.
-     */
-    SDXLLatentsToLatentsInvocation: {
-      /**
-       * Id 
-       * @description The id of this node. Must be unique among all nodes.
-       */
-      id: string;
-      /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
-       * @default false
-       */
-      is_intermediate?: boolean;
-      /**
-       * Type 
-       * @default l2l_sdxl 
-       * @enum {string}
-       */
-      type?: "l2l_sdxl";
-      /**
-       * Positive Conditioning 
-       * @description Positive conditioning for generation
-       */
-      positive_conditioning?: components["schemas"]["ConditioningField"];
-      /**
-       * Negative Conditioning 
-       * @description Negative conditioning for generation
-       */
-      negative_conditioning?: components["schemas"]["ConditioningField"];
-      /**
-       * Noise 
-       * @description The noise to use
-       */
-      noise?: components["schemas"]["LatentsField"];
-      /**
-       * Steps 
-       * @description The number of steps to use to generate the image 
-       * @default 10
-       */
-      steps?: number;
-      /**
-       * Cfg Scale 
-       * @description The Classifier-Free Guidance, higher values may result in a result closer to the prompt 
-       * @default 7.5
-       */
-      cfg_scale?: number | (number)[];
-      /**
-       * Scheduler 
-       * @description The scheduler to use 
-       * @default euler 
-       * @enum {string}
-       */
-      scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
-      /**
-       * Unet 
-       * @description UNet submodel
-       */
-      unet?: components["schemas"]["UNetField"];
-      /**
-       * Latents 
-       * @description Initial latents
-       */
-      latents?: components["schemas"]["LatentsField"];
-      /**
-       * Denoising Start 
-       * @default 0
-       */
-      denoising_start?: number;
-      /**
-       * Denoising End 
-       * @default 1
-       */
-      denoising_end?: number;
-    };
     /**
      * SDXLLoraLoaderInvocation 
      * @description Apply selected lora to unet and text_encoder.
@@ -5150,81 +5026,6 @@ export type components = {
        */
       vae?: components["schemas"]["VaeField"];
     };
-    /**
-     * SDXLRawPromptInvocation 
-     * @description Pass unmodified prompt to conditioning without compel processing.
-     */
-    SDXLRawPromptInvocation: {
-      /**
-       * Id 
-       * @description The id of this node. Must be unique among all nodes.
-       */
-      id: string;
-      /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
-       * @default false
-       */
-      is_intermediate?: boolean;
-      /**
-       * Type 
-       * @default sdxl_raw_prompt 
-       * @enum {string}
-       */
-      type?: "sdxl_raw_prompt";
-      /**
-       * Prompt 
-       * @description Prompt 
-       * @default
-       */
-      prompt?: string;
-      /**
-       * Style 
-       * @description Style prompt 
-       * @default
-       */
-      style?: string;
-      /**
-       * Original Width 
-       * @default 1024
-       */
-      original_width?: number;
-      /**
-       * Original Height 
-       * @default 1024
-       */
-      original_height?: number;
-      /**
-       * Crop Top 
-       * @default 0
-       */
-      crop_top?: number;
-      /**
-       * Crop Left 
-       * @default 0
-       */
-      crop_left?: number;
-      /**
-       * Target Width 
-       * @default 1024
-       */
-      target_width?: number;
-      /**
-       * Target Height 
-       * @default 1024
-       */
-      target_height?: number;
-      /**
-       * Clip 
-       * @description Clip to use
-       */
-      clip?: components["schemas"]["ClipField"];
-      /**
-       * Clip2 
-       * @description Clip2 to use
-       */
-      clip2?: components["schemas"]["ClipField"];
-    };
     /**
      * SDXLRefinerCompelPromptInvocation 
      * @description Parse prompt using compel package to conditioning.
@@ -5339,132 +5140,6 @@ export type components = {
        */
       vae?: components["schemas"]["VaeField"];
     };
-    /**
-     * SDXLRefinerRawPromptInvocation 
-     * @description Parse prompt using compel package to conditioning.
-     */
-    SDXLRefinerRawPromptInvocation: {
-      /**
-       * Id 
-       * @description The id of this node. Must be unique among all nodes.
-       */
-      id: string;
-      /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
-       * @default false
-       */
-      is_intermediate?: boolean;
-      /**
-       * Type 
-       * @default sdxl_refiner_raw_prompt 
-       * @enum {string}
-       */
-      type?: "sdxl_refiner_raw_prompt";
-      /**
-       * Style 
-       * @description Style prompt 
-       * @default
-       */
-      style?: string;
-      /**
-       * Original Width 
-       * @default 1024
-       */
-      original_width?: number;
-      /**
-       * Original Height 
-       * @default 1024
-       */
-      original_height?: number;
-      /**
-       * Crop Top 
-       * @default 0
-       */
-      crop_top?: number;
-      /**
-       * Crop Left 
-       * @default 0
-       */
-      crop_left?: number;
-      /**
-       * Aesthetic Score 
-       * @default 6
-       */
-      aesthetic_score?: number;
-      /**
-       * Clip2 
-       * @description Clip to use
-       */
-      clip2?: components["schemas"]["ClipField"];
-    };
-    /**
-     * SDXLTextToLatentsInvocation 
-     * @description Generates latents from conditionings.
-     */
-    SDXLTextToLatentsInvocation: {
-      /**
-       * Id 
-       * @description The id of this node. Must be unique among all nodes.
-       */
-      id: string;
-      /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
-       * @default false
-       */
-      is_intermediate?: boolean;
-      /**
-       * Type 
-       * @default t2l_sdxl 
-       * @enum {string}
-       */
-      type?: "t2l_sdxl";
-      /**
-       * Positive Conditioning 
-       * @description Positive conditioning for generation
-       */
-      positive_conditioning?: components["schemas"]["ConditioningField"];
-      /**
-       * Negative Conditioning 
-       * @description Negative conditioning for generation
-       */
-      negative_conditioning?: components["schemas"]["ConditioningField"];
-      /**
-       * Noise 
-       * @description The noise to use
-       */
-      noise?: components["schemas"]["LatentsField"];
-      /**
-       * Steps 
-       * @description The number of steps to use to generate the image 
-       * @default 10
-       */
-      steps?: number;
-      /**
-       * Cfg Scale 
-       * @description The Classifier-Free Guidance, higher values may result in a result closer to the prompt 
-       * @default 7.5
-       */
-      cfg_scale?: number | (number)[];
-      /**
-       * Scheduler 
-       * @description The scheduler to use 
-       * @default euler 
-       * @enum {string}
-       */
-      scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
-      /**
-       * Unet 
-       * @description UNet submodel
-       */
-      unet?: components["schemas"]["UNetField"];
-      /**
-       * Denoising End 
-       * @default 1
-       */
-      denoising_end?: number;
-    };
     /**
      * ScaleLatentsInvocation 
      * @description Scales latents by a given factor.
@@ -5863,73 +5538,6 @@ export type components = {
        */
       b?: number;
     };
-    /**
-     * TextToLatentsInvocation 
-     * @description Generates latents from conditionings.
-     */
-    TextToLatentsInvocation: {
-      /**
-       * Id 
-       * @description The id of this node. Must be unique among all nodes.
-       */
-      id: string;
-      /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
-       * @default false
-       */
-      is_intermediate?: boolean;
-      /**
-       * Type 
-       * @default t2l 
-       * @enum {string}
-       */
-      type?: "t2l";
-      /**
-       * Positive Conditioning 
-       * @description Positive conditioning for generation
-       */
-      positive_conditioning?: components["schemas"]["ConditioningField"];
-      /**
-       * Negative Conditioning 
-       * @description Negative conditioning for generation
-       */
-      negative_conditioning?: components["schemas"]["ConditioningField"];
-      /**
-       * Noise 
-       * @description The noise to use
-       */
-      noise?: components["schemas"]["LatentsField"];
-      /**
-       * Steps 
-       * @description The number of steps to use to generate the image 
-       * @default 10
-       */
-      steps?: number;
-      /**
-       * Cfg Scale 
-       * @description The Classifier-Free Guidance, higher values may result in a result closer to the prompt 
-       * @default 7.5
-       */
-      cfg_scale?: number | (number)[];
-      /**
-       * Scheduler 
-       * @description The scheduler to use 
-       * @default euler 
-       * @enum {string}
-       */
-      scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
-      /**
-       * Unet 
-       * @description UNet submodel
-       */
-      unet?: components["schemas"]["UNetField"];
-      /**
-       * Control 
-       * @description The control to use
-       */
-      control?: components["schemas"]["ControlField"] | (components["schemas"]["ControlField"])[];
-    };
     /** TextualInversionModelConfig */
     TextualInversionModelConfig: {
       /** Model Name */
@@ -6139,36 +5747,36 @@ export type components = {
        */
       image?: components["schemas"]["ImageField"];
     };
-    /**
-     * ControlNetModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionXLModelFormat 
      * @description An enumeration. 
      * @enum {string}
      */
     StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusion1ModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionOnnxModelFormat 
      * @description An enumeration. 
      * @enum {string}
      */
     StableDiffusionOnnxModelFormat: "olive" | "onnx";
+    /**
+     * ControlNetModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    ControlNetModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusion2ModelFormat 
      * @description An enumeration. 
      * @enum {string}
      */
     StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusion1ModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -6279,7 +5887,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
+        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -6316,7 +5924,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRawPromptInvocation"] | components["schemas"]["SDXLRefinerRawPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["TextToLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SDXLTextToLatentsInvocation"] | components["schemas"]["SDXLLatentsToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LatentsToLatentsInvocation"];
+        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
diff --git a/invokeai/frontend/web/src/services/api/types.ts b/invokeai/frontend/web/src/services/api/types.ts
index e7e3accdad..7c8f0908b0 100644
--- a/invokeai/frontend/web/src/services/api/types.ts
+++ b/invokeai/frontend/web/src/services/api/types.ts
@@ -120,9 +120,6 @@ export type RandomRangeInvocation = TypeReq<
 export type RangeOfSizeInvocation = TypeReq<
   components['schemas']['RangeOfSizeInvocation']
 >;
-export type InpaintInvocation = TypeReq<
-  components['schemas']['InpaintInvocation']
->;
 export type ImageResizeInvocation = TypeReq<
   components['schemas']['ImageResizeInvocation']
 >;
@@ -139,14 +136,11 @@ export type DynamicPromptInvocation = TypeReq<
   components['schemas']['DynamicPromptInvocation']
 >;
 export type NoiseInvocation = TypeReq<components['schemas']['NoiseInvocation']>;
-export type TextToLatentsInvocation = TypeReq<
-  components['schemas']['TextToLatentsInvocation']
->;
 export type ONNXTextToLatentsInvocation = TypeReq<
   components['schemas']['ONNXTextToLatentsInvocation']
 >;
-export type LatentsToLatentsInvocation = TypeReq<
-  components['schemas']['LatentsToLatentsInvocation']
+export type DenoiseLatentsInvocation = TypeReq<
+  components['schemas']['DenoiseLatentsInvocation']
 >;
 export type ImageToLatentsInvocation = TypeReq<
   components['schemas']['ImageToLatentsInvocation']

From f3ae52ff97a2c4983ec07c38ceb354792589acfd Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Fri, 11 Aug 2023 15:46:16 +0300
Subject: [PATCH 159/287] Fix error at high denoising_start, fix
 unipc(cpu_only)

---
 invokeai/app/invocations/latent.py            | 10 +++-
 .../stable_diffusion/diffusers_pipeline.py    | 47 +++++++------------
 2 files changed, 25 insertions(+), 32 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 743e3f54b2..15e7c15802 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -317,6 +317,9 @@ class DenoiseLatentsInvocation(BaseInvocation):
         return control_data
 
     def init_scheduler(self, scheduler, device, steps, denoising_start, denoising_end):
+        if scheduler.config.get("cpu_only", False):
+            device = torch.device("cpu")
+
         # apply denoising_start
         num_inference_steps = steps
         scheduler.set_timesteps(num_inference_steps, device=device)
@@ -325,6 +328,8 @@ class DenoiseLatentsInvocation(BaseInvocation):
         timesteps = scheduler.timesteps[t_start * scheduler.order :]
         num_inference_steps = num_inference_steps - t_start
 
+        init_timestep = timesteps[:1]
+
         # apply denoising_end
         num_warmup_steps = max(len(timesteps) - num_inference_steps * scheduler.order, 0)
 
@@ -332,7 +337,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
         num_inference_steps = num_inference_steps - skipped_final_steps
         timesteps = timesteps[: num_warmup_steps + scheduler.order * num_inference_steps]
 
-        return num_inference_steps, timesteps
+        return num_inference_steps, timesteps, init_timestep
 
     def prep_mask_tensor(self, mask, context, lantents):
         if mask is None:
@@ -418,7 +423,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
                     exit_stack=exit_stack,
                 )
 
-                num_inference_steps, timesteps = self.init_scheduler(
+                num_inference_steps, timesteps, init_timestep = self.init_scheduler(
                     scheduler,
                     device=unet.device,
                     steps=self.steps,
@@ -429,6 +434,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
                 result_latents, result_attention_map_saver = pipeline.latents_from_embeddings(
                     latents=latents,
                     timesteps=timesteps,
+                    init_timestep=init_timestep,
                     noise=noise,
                     seed=seed,
                     mask=mask,
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index e5bb1f0f3d..8e0edb3c30 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -365,22 +365,16 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         conditioning_data: ConditioningData,
         *,
         noise: Optional[torch.Tensor],
-        timesteps=None,
+        timesteps: torch.Tensor,
+        init_timestep: torch.Tensor,
         additional_guidance: List[Callable] = None,
         callback: Callable[[PipelineIntermediateState], None] = None,
         control_data: List[ControlNetData] = None,
         mask: Optional[torch.Tensor] = None,
         seed: Optional[int] = None,
     ) -> tuple[torch.Tensor, Optional[AttentionMapSaver]]:
-        # TODO:
-        if self.scheduler.config.get("cpu_only", False):
-            scheduler_device = torch.device("cpu")
-        else:
-            scheduler_device = self.unet.device
-
-        if timesteps is None:
-            self.scheduler.set_timesteps(num_inference_steps, device=scheduler_device)
-            timesteps = self.scheduler.timesteps
+        if init_timestep.shape[0] == 0:
+            return latents, None
 
         infer_latents_from_embeddings = GeneratorToCallbackinator(
             self.generate_latents_from_embeddings, PipelineIntermediateState
@@ -392,31 +386,12 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         orig_latents = latents.clone()
 
         batch_size = latents.shape[0]
-        batched_t = torch.full(
-            (batch_size,),
-            timesteps[0],
-            dtype=timesteps.dtype,
-            device=self.unet.device,
-        )
+        batched_t = init_timestep.repeat(batch_size)
 
         if noise is not None:
             #latents = noise * self.scheduler.init_noise_sigma # it's like in t2l according to diffusers
             latents = self.scheduler.add_noise(latents, noise, batched_t)
 
-        else:
-            # if no noise provided, noisify unmasked area based on seed(or 0 as fallback)
-            if mask is not None:
-                noise = torch.randn(
-                    orig_latents.shape,
-                    dtype=torch.float32,
-                    device="cpu",
-                    generator=torch.Generator(device="cpu").manual_seed(seed or 0),
-                ).to(device=orig_latents.device, dtype=orig_latents.dtype)
-
-                latents = self.scheduler.add_noise(latents, noise, batched_t)
-                latents = torch.lerp(orig_latents, latents.to(dtype=orig_latents.dtype), mask.to(dtype=orig_latents.dtype))
-
-
         if mask is not None:
             if is_inpainting_model(self.unet):
                 # You'd think the inpainting model wouldn't be paying attention to the area it is going to repaint
@@ -428,6 +403,18 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                     self._unet_forward, mask, orig_latents
                 )
             else:
+                # if no noise provided, noisify unmasked area based on seed(or 0 as fallback)
+                if noise is None:
+                    noise = torch.randn(
+                        orig_latents.shape,
+                        dtype=torch.float32,
+                        device="cpu",
+                        generator=torch.Generator(device="cpu").manual_seed(seed or 0),
+                    ).to(device=orig_latents.device, dtype=orig_latents.dtype)
+
+                    latents = self.scheduler.add_noise(latents, noise, batched_t)
+                    latents = torch.lerp(orig_latents, latents.to(dtype=orig_latents.dtype), mask.to(dtype=orig_latents.dtype))
+
                 additional_guidance.append(AddsMaskGuidance(mask, orig_latents, self.scheduler, noise))
 
         try:

From 69a9dc7b36091a0fc74355479b13aaa566f69ced Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 12 Aug 2023 02:42:13 +1200
Subject: [PATCH 160/287] wip: Add initial Inpaint Graph

---
 .../nodes/util/graphBuilders/addVAEToGraph.ts |  10 +-
 .../graphBuilders/buildCanvasInpaintGraph.ts  | 109 +++++++++++++-----
 .../nodes/util/graphBuilders/constants.ts     |   9 ++
 3 files changed, 93 insertions(+), 35 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts
index 1472b3ea3f..85e8fed572 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts
@@ -4,8 +4,8 @@ import { MetadataAccumulatorInvocation } from 'services/api/types';
 import {
   IMAGE_TO_IMAGE_GRAPH,
   IMAGE_TO_LATENTS,
-  INPAINT,
   INPAINT_GRAPH,
+  INPAINT_IMAGE,
   LATENTS_TO_IMAGE,
   MAIN_MODEL_LOADER,
   METADATA_ACCUMULATOR,
@@ -35,7 +35,11 @@ export const addVAEToGraph = (
     };
   }
   const isOnnxModel = modelLoaderNodeId == ONNX_MODEL_LOADER;
-  if (graph.id === TEXT_TO_IMAGE_GRAPH || graph.id === IMAGE_TO_IMAGE_GRAPH) {
+  if (
+    graph.id === TEXT_TO_IMAGE_GRAPH ||
+    graph.id === IMAGE_TO_IMAGE_GRAPH ||
+    graph.id === INPAINT_GRAPH
+  ) {
     graph.edges.push({
       source: {
         node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
@@ -68,7 +72,7 @@ export const addVAEToGraph = (
         field: isAutoVae && isOnnxModel ? 'vae_decoder' : 'vae',
       },
       destination: {
-        node_id: INPAINT,
+        node_id: INPAINT_IMAGE,
         field: 'vae',
       },
     });
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
index 3cec76757f..892cdc2d7c 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
@@ -3,10 +3,10 @@ import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
 import {
   ImageDTO,
-  InpaintInvocation,
   RandomIntInvocation,
   RangeOfSizeInvocation,
 } from 'services/api/types';
+import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
@@ -15,9 +15,12 @@ import {
   CLIP_SKIP,
   INPAINT,
   INPAINT_GRAPH,
+  INPAINT_IMAGE,
   ITERATE,
+  LATENTS_TO_IMAGE,
   MAIN_MODEL_LOADER,
   NEGATIVE_CONDITIONING,
+  NOISE,
   POSITIVE_CONDITIONING,
   RANDOM_INT,
   RANGE_OF_SIZE,
@@ -44,6 +47,9 @@ export const buildCanvasInpaintGraph = (
     iterations,
     seed,
     shouldRandomizeSeed,
+    vaePrecision,
+    shouldUseNoiseSettings,
+    shouldUseCpuNoise,
     seamSize,
     seamBlur,
     seamSteps,
@@ -68,40 +74,38 @@ export const buildCanvasInpaintGraph = (
     shouldAutoSave,
   } = state.canvas;
 
+  const use_cpu = shouldUseNoiseSettings
+    ? shouldUseCpuNoise
+    : shouldUseCpuNoise;
+
   const graph: NonNullableGraph = {
     id: INPAINT_GRAPH,
     nodes: {
       [INPAINT]: {
-        is_intermediate: !shouldAutoSave,
-        type: 'inpaint',
+        type: 'denoise_latents',
         id: INPAINT,
-        steps,
+        is_intermediate: true,
+        steps: steps,
+        cfg_scale: cfg_scale,
+        scheduler: scheduler,
+        denoising_start: 1 - strength,
+        denoising_end: 1,
+        mask: canvasMaskImage,
+      },
+      [INPAINT_IMAGE]: {
+        type: 'i2l',
+        id: INPAINT_IMAGE,
+        is_intermediate: true,
+        image: canvasInitImage,
+        fp32: vaePrecision === 'fp32' ? true : false,
+      },
+      [NOISE]: {
+        type: 'noise',
+        id: NOISE,
         width,
         height,
-        cfg_scale,
-        scheduler,
-        image: {
-          image_name: canvasInitImage.image_name,
-        },
-        strength,
-        fit: shouldFitToWidthHeight,
-        mask: {
-          image_name: canvasMaskImage.image_name,
-        },
-        seam_size: seamSize,
-        seam_blur: seamBlur,
-        seam_strength: seamStrength,
-        seam_steps: seamSteps,
-        tile_size: infillMethod === 'tile' ? tileSize : undefined,
-        infill_method: infillMethod as InpaintInvocation['infill_method'],
-        inpaint_width:
-          boundingBoxScaleMethod !== 'none'
-            ? scaledBoundingBoxDimensions.width
-            : undefined,
-        inpaint_height:
-          boundingBoxScaleMethod !== 'none'
-            ? scaledBoundingBoxDimensions.height
-            : undefined,
+        use_cpu,
+        is_intermediate: true,
       },
       [POSITIVE_CONDITIONING]: {
         type: 'compel',
@@ -121,12 +125,19 @@ export const buildCanvasInpaintGraph = (
         is_intermediate: true,
         model,
       },
+      [LATENTS_TO_IMAGE]: {
+        type: 'l2i',
+        id: LATENTS_TO_IMAGE,
+        is_intermediate: true,
+        fp32: vaePrecision === 'fp32' ? true : false,
+      },
       [CLIP_SKIP]: {
         type: 'clip_skip',
         id: CLIP_SKIP,
         is_intermediate: true,
         skipped_layers: clipSkip,
       },
+
       [RANGE_OF_SIZE]: {
         type: 'range_of_size',
         id: RANGE_OF_SIZE,
@@ -203,6 +214,26 @@ export const buildCanvasInpaintGraph = (
           field: 'positive_conditioning',
         },
       },
+      {
+        source: {
+          node_id: NOISE,
+          field: 'noise',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'noise',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_IMAGE,
+          field: 'latents',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'latents',
+        },
+      },
       {
         source: {
           node_id: RANGE_OF_SIZE,
@@ -219,17 +250,25 @@ export const buildCanvasInpaintGraph = (
           field: 'item',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: NOISE,
           field: 'seed',
         },
       },
+      {
+        source: {
+          node_id: INPAINT,
+          field: 'latents',
+        },
+        destination: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'latents',
+        },
+      },
     ],
   };
 
-  addLoRAsToGraph(state, graph, INPAINT);
-
   // Add VAE
-  addVAEToGraph(state, graph);
+  addVAEToGraph(state, graph, MAIN_MODEL_LOADER);
 
   // handle seed
   if (shouldRandomizeSeed) {
@@ -251,6 +290,12 @@ export const buildCanvasInpaintGraph = (
     (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed;
   }
 
+  // add LoRA support
+  addLoRAsToGraph(state, graph, INPAINT, MAIN_MODEL_LOADER);
+
+  // add controlnet, mutating `graph`
+  addControlNetToLinearGraph(state, graph, INPAINT);
+
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index 2282184521..6a66093da0 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -18,6 +18,15 @@ export const IMAGE_TO_LATENTS = 'image_to_latents';
 export const LATENTS_TO_LATENTS = 'latents_to_latents';
 export const RESIZE = 'resize_image';
 export const INPAINT = 'inpaint';
+export const INPAINT_SEAM_FIX = 'inpaint_seam_fix';
+export const INPAINT_IMAGE = 'inpaint_image';
+export const INFILL_TILE = 'infill_tile';
+export const INPAINT_FINAL_IMAGE = 'inpaint_final_image';
+export const MASK_FROM_ALPHA = 'tomask';
+export const MASK_EDGE = 'mask_edge';
+export const MASK_BLUR = 'mask_blur';
+export const COLOR_CORRECT = 'color_correct';
+export const PASTE_IMAGE = 'img_paste';
 export const CONTROL_NET_COLLECT = 'control_net_collect';
 export const DYNAMIC_PROMPT = 'dynamic_prompt';
 export const IMAGE_COLLECTION = 'image_collection';

From 1affb7f64790b15c3a4b8e3a97e77aeeae6ac756 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 12 Aug 2023 03:28:19 +1200
Subject: [PATCH 161/287] feat: Add Paste / Mask Blur / Color Correction to
 Inpainting

Seam options are now removed. They are replaced by two options --Mask Blur and Mask Blur Method .. which control the softness of the mask that is being painted.
---
 invokeai/frontend/web/public/locales/en.json  |  3 +
 .../graphBuilders/buildCanvasInpaintGraph.ts  | 72 +++++++++++++++++--
 .../ParamMaskAdjustmentCollapse.tsx           | 21 ++++++
 .../ParamMaskBlur.tsx}                        | 16 ++---
 .../MaskAdjustment/ParamMaskBlurMethod.tsx    | 36 ++++++++++
 .../ParamSeamCorrectionCollapse.tsx           | 22 ------
 .../Canvas/SeamCorrection/ParamSeamSize.tsx   | 31 --------
 .../Canvas/SeamCorrection/ParamSeamSteps.tsx  | 32 ---------
 .../SeamCorrection/ParamSeamStrength.tsx      | 32 ---------
 .../parameters/store/generationSlice.ts       | 33 +++------
 .../UnifiedCanvas/UnifiedCanvasParameters.tsx |  4 +-
 11 files changed, 147 insertions(+), 155 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskAdjustmentCollapse.tsx
 rename invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/{SeamCorrection/ParamSeamBlur.tsx => MaskAdjustment/ParamMaskBlur.tsx} (62%)
 create mode 100644 invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskBlurMethod.tsx
 delete mode 100644 invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamCorrectionCollapse.tsx
 delete mode 100644 invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamSize.tsx
 delete mode 100644 invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamSteps.tsx
 delete mode 100644 invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamStrength.tsx

diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index 63380a19fa..fbae5b4a30 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -503,6 +503,9 @@
         "hiresStrength": "High Res Strength",
         "imageFit": "Fit Initial Image To Output Size",
         "codeformerFidelity": "Fidelity",
+        "maskAdjustmentsHeader": "Mask Adjustments",
+        "maskBlur": "Mask Blur",
+        "maskBlurMethod": "Mask Blur Method",
         "seamSize": "Seam Size",
         "seamBlur": "Seam Blur",
         "seamStrength": "Seam Strength",
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
index 892cdc2d7c..817e8d5176 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
@@ -13,12 +13,15 @@ import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
   CLIP_SKIP,
+  COLOR_CORRECT,
   INPAINT,
+  INPAINT_FINAL_IMAGE,
   INPAINT_GRAPH,
   INPAINT_IMAGE,
   ITERATE,
   LATENTS_TO_IMAGE,
   MAIN_MODEL_LOADER,
+  MASK_BLUR,
   NEGATIVE_CONDITIONING,
   NOISE,
   POSITIVE_CONDITIONING,
@@ -50,10 +53,8 @@ export const buildCanvasInpaintGraph = (
     vaePrecision,
     shouldUseNoiseSettings,
     shouldUseCpuNoise,
-    seamSize,
-    seamBlur,
-    seamSteps,
-    seamStrength,
+    maskBlur,
+    maskBlurMethod,
     tileSize,
     infillMethod,
     clipSkip,
@@ -90,7 +91,6 @@ export const buildCanvasInpaintGraph = (
         scheduler: scheduler,
         denoising_start: 1 - strength,
         denoising_end: 1,
-        mask: canvasMaskImage,
       },
       [INPAINT_IMAGE]: {
         type: 'i2l',
@@ -137,7 +137,27 @@ export const buildCanvasInpaintGraph = (
         is_intermediate: true,
         skipped_layers: clipSkip,
       },
-
+      [COLOR_CORRECT]: {
+        type: 'color_correct',
+        id: COLOR_CORRECT,
+        is_intermediate: true,
+        reference: canvasInitImage,
+        mask: canvasMaskImage,
+      },
+      [MASK_BLUR]: {
+        type: 'img_blur',
+        id: MASK_BLUR,
+        is_intermediate: true,
+        image: canvasMaskImage,
+        radius: maskBlur,
+        blur_type: maskBlurMethod,
+      },
+      [INPAINT_FINAL_IMAGE]: {
+        type: 'img_paste',
+        id: INPAINT_FINAL_IMAGE,
+        is_intermediate: true,
+        base_image: canvasInitImage,
+      },
       [RANGE_OF_SIZE]: {
         type: 'range_of_size',
         id: RANGE_OF_SIZE,
@@ -234,6 +254,16 @@ export const buildCanvasInpaintGraph = (
           field: 'latents',
         },
       },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'mask',
+        },
+      },
       {
         source: {
           node_id: RANGE_OF_SIZE,
@@ -264,6 +294,36 @@ export const buildCanvasInpaintGraph = (
           field: 'latents',
         },
       },
+      {
+        source: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_FINAL_IMAGE,
+          field: 'mask',
+        },
+      },
+      {
+        source: {
+          node_id: COLOR_CORRECT,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_FINAL_IMAGE,
+          field: 'image',
+        },
+      },
     ],
   };
 
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskAdjustmentCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskAdjustmentCollapse.tsx
new file mode 100644
index 0000000000..9ca6503d3d
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskAdjustmentCollapse.tsx
@@ -0,0 +1,21 @@
+import { Flex } from '@chakra-ui/react';
+import IAICollapse from 'common/components/IAICollapse';
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import ParamMaskBlur from './ParamMaskBlur';
+import ParamMaskBlurMethod from './ParamMaskBlurMethod';
+
+const ParamMaskAdjustmentCollapse = () => {
+  const { t } = useTranslation();
+
+  return (
+    <IAICollapse label={t('parameters.maskAdjustmentsHeader')}>
+      <Flex sx={{ flexDirection: 'column', gap: 2 }}>
+        <ParamMaskBlur />
+        <ParamMaskBlurMethod />
+      </Flex>
+    </IAICollapse>
+  );
+};
+
+export default memo(ParamMaskAdjustmentCollapse);
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamBlur.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskBlur.tsx
similarity index 62%
rename from invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamBlur.tsx
rename to invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskBlur.tsx
index 5c20ba7a13..82b82228e2 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamBlur.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskBlur.tsx
@@ -1,31 +1,31 @@
 import type { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAISlider from 'common/components/IAISlider';
-import { setSeamBlur } from 'features/parameters/store/generationSlice';
+import { setMaskBlur } from 'features/parameters/store/generationSlice';
 import { useTranslation } from 'react-i18next';
 
-export default function ParamSeamBlur() {
+export default function ParamMaskBlur() {
   const dispatch = useAppDispatch();
-  const seamBlur = useAppSelector(
-    (state: RootState) => state.generation.seamBlur
+  const maskBlur = useAppSelector(
+    (state: RootState) => state.generation.maskBlur
   );
   const { t } = useTranslation();
 
   return (
     <IAISlider
-      label={t('parameters.seamBlur')}
+      label={t('parameters.maskBlur')}
       min={0}
       max={64}
       sliderNumberInputProps={{ max: 512 }}
-      value={seamBlur}
+      value={maskBlur}
       onChange={(v) => {
-        dispatch(setSeamBlur(v));
+        dispatch(setMaskBlur(v));
       }}
       withInput
       withSliderMarks
       withReset
       handleReset={() => {
-        dispatch(setSeamBlur(16));
+        dispatch(setMaskBlur(16));
       }}
     />
   );
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskBlurMethod.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskBlurMethod.tsx
new file mode 100644
index 0000000000..b45dc8b884
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskBlurMethod.tsx
@@ -0,0 +1,36 @@
+import { SelectItem } from '@mantine/core';
+import { RootState } from 'app/store/store';
+
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAIMantineSelect from 'common/components/IAIMantineSelect';
+import { setMaskBlurMethod } from 'features/parameters/store/generationSlice';
+import { useTranslation } from 'react-i18next';
+
+export type MaskBlurMethods = 'box' | 'gaussian';
+
+const maskBlurMethods: SelectItem[] = [
+  { label: 'Box Blur', value: 'box' },
+  { label: 'Gaussian Blur', value: 'gaussian' },
+];
+
+export default function ParamMaskBlurMethod() {
+  const maskBlurMethod = useAppSelector(
+    (state: RootState) => state.generation.maskBlurMethod
+  );
+  const dispatch = useAppDispatch();
+  const { t } = useTranslation();
+
+  const handleMaskBlurMethodChange = (v: string | null) => {
+    if (!v) return;
+    dispatch(setMaskBlurMethod(v as MaskBlurMethods));
+  };
+
+  return (
+    <IAIMantineSelect
+      value={maskBlurMethod}
+      onChange={handleMaskBlurMethodChange}
+      label={t('parameters.maskBlurMethod')}
+      data={maskBlurMethods}
+    />
+  );
+}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamCorrectionCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamCorrectionCollapse.tsx
deleted file mode 100644
index 88d839fa15..0000000000
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamCorrectionCollapse.tsx
+++ /dev/null
@@ -1,22 +0,0 @@
-import IAICollapse from 'common/components/IAICollapse';
-import { memo } from 'react';
-import { useTranslation } from 'react-i18next';
-import ParamSeamBlur from './ParamSeamBlur';
-import ParamSeamSize from './ParamSeamSize';
-import ParamSeamSteps from './ParamSeamSteps';
-import ParamSeamStrength from './ParamSeamStrength';
-
-const ParamSeamCorrectionCollapse = () => {
-  const { t } = useTranslation();
-
-  return (
-    <IAICollapse label={t('parameters.seamCorrectionHeader')}>
-      <ParamSeamSize />
-      <ParamSeamBlur />
-      <ParamSeamStrength />
-      <ParamSeamSteps />
-    </IAICollapse>
-  );
-};
-
-export default memo(ParamSeamCorrectionCollapse);
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamSize.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamSize.tsx
deleted file mode 100644
index 8e56cded7b..0000000000
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamSize.tsx
+++ /dev/null
@@ -1,31 +0,0 @@
-import type { RootState } from 'app/store/store';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import IAISlider from 'common/components/IAISlider';
-import { setSeamSize } from 'features/parameters/store/generationSlice';
-import { useTranslation } from 'react-i18next';
-
-export default function ParamSeamSize() {
-  const dispatch = useAppDispatch();
-  const { t } = useTranslation();
-
-  const seamSize = useAppSelector(
-    (state: RootState) => state.generation.seamSize
-  );
-
-  return (
-    <IAISlider
-      label={t('parameters.seamSize')}
-      min={1}
-      max={256}
-      sliderNumberInputProps={{ max: 512 }}
-      value={seamSize}
-      onChange={(v) => {
-        dispatch(setSeamSize(v));
-      }}
-      withInput
-      withSliderMarks
-      withReset
-      handleReset={() => dispatch(setSeamSize(96))}
-    />
-  );
-}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamSteps.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamSteps.tsx
deleted file mode 100644
index 8ca5226621..0000000000
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamSteps.tsx
+++ /dev/null
@@ -1,32 +0,0 @@
-import type { RootState } from 'app/store/store';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import IAISlider from 'common/components/IAISlider';
-import { setSeamSteps } from 'features/parameters/store/generationSlice';
-import { useTranslation } from 'react-i18next';
-
-export default function ParamSeamSteps() {
-  const { t } = useTranslation();
-  const seamSteps = useAppSelector(
-    (state: RootState) => state.generation.seamSteps
-  );
-  const dispatch = useAppDispatch();
-
-  return (
-    <IAISlider
-      label={t('parameters.seamSteps')}
-      min={1}
-      max={100}
-      sliderNumberInputProps={{ max: 999 }}
-      value={seamSteps}
-      onChange={(v) => {
-        dispatch(setSeamSteps(v));
-      }}
-      withInput
-      withSliderMarks
-      withReset
-      handleReset={() => {
-        dispatch(setSeamSteps(30));
-      }}
-    />
-  );
-}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamStrength.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamStrength.tsx
deleted file mode 100644
index de74156cd3..0000000000
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamStrength.tsx
+++ /dev/null
@@ -1,32 +0,0 @@
-import { RootState } from 'app/store/store';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import IAISlider from 'common/components/IAISlider';
-import { setSeamStrength } from 'features/parameters/store/generationSlice';
-import { useTranslation } from 'react-i18next';
-
-export default function ParamSeamStrength() {
-  const dispatch = useAppDispatch();
-  const { t } = useTranslation();
-  const seamStrength = useAppSelector(
-    (state: RootState) => state.generation.seamStrength
-  );
-
-  return (
-    <IAISlider
-      label={t('parameters.seamStrength')}
-      min={0.01}
-      max={0.99}
-      step={0.01}
-      value={seamStrength}
-      onChange={(v) => {
-        dispatch(setSeamStrength(v));
-      }}
-      withInput
-      withSliderMarks
-      withReset
-      handleReset={() => {
-        dispatch(setSeamStrength(0.7));
-      }}
-    />
-  );
-}
diff --git a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
index 12f2c3eabf..33a76da4e6 100644
--- a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
+++ b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
@@ -4,6 +4,7 @@ import { roundToMultiple } from 'common/util/roundDownToMultiple';
 import { configChanged } from 'features/system/store/configSlice';
 import { clamp } from 'lodash-es';
 import { ImageDTO } from 'services/api/types';
+import { MaskBlurMethods } from '../components/Parameters/Canvas/MaskAdjustment/ParamMaskBlurMethod';
 import { clipSkipMap } from '../types/constants';
 import {
   CfgScaleParam,
@@ -33,10 +34,8 @@ export interface GenerationState {
   positivePrompt: PositivePromptParam;
   negativePrompt: NegativePromptParam;
   scheduler: SchedulerParam;
-  seamBlur: number;
-  seamSize: number;
-  seamSteps: number;
-  seamStrength: number;
+  maskBlur: number;
+  maskBlurMethod: MaskBlurMethods;
   seed: SeedParam;
   seedWeights: string;
   shouldFitToWidthHeight: boolean;
@@ -72,10 +71,8 @@ export const initialGenerationState: GenerationState = {
   positivePrompt: '',
   negativePrompt: '',
   scheduler: 'euler',
-  seamBlur: 16,
-  seamSize: 96,
-  seamSteps: 30,
-  seamStrength: 0.7,
+  maskBlur: 16,
+  maskBlurMethod: 'box',
   seed: 0,
   seedWeights: '',
   shouldFitToWidthHeight: true,
@@ -196,17 +193,11 @@ export const generationSlice = createSlice({
     clearInitialImage: (state) => {
       state.initialImage = undefined;
     },
-    setSeamSize: (state, action: PayloadAction<number>) => {
-      state.seamSize = action.payload;
+    setMaskBlur: (state, action: PayloadAction<number>) => {
+      state.maskBlur = action.payload;
     },
-    setSeamBlur: (state, action: PayloadAction<number>) => {
-      state.seamBlur = action.payload;
-    },
-    setSeamStrength: (state, action: PayloadAction<number>) => {
-      state.seamStrength = action.payload;
-    },
-    setSeamSteps: (state, action: PayloadAction<number>) => {
-      state.seamSteps = action.payload;
+    setMaskBlurMethod: (state, action: PayloadAction<MaskBlurMethods>) => {
+      state.maskBlurMethod = action.payload;
     },
     setTileSize: (state, action: PayloadAction<number>) => {
       state.tileSize = action.payload;
@@ -312,10 +303,8 @@ export const {
   setPositivePrompt,
   setNegativePrompt,
   setScheduler,
-  setSeamBlur,
-  setSeamSize,
-  setSeamSteps,
-  setSeamStrength,
+  setMaskBlur,
+  setMaskBlurMethod,
   setSeed,
   setSeedWeights,
   setShouldFitToWidthHeight,
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasParameters.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasParameters.tsx
index de7ce3b084..fcfffee48b 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasParameters.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasParameters.tsx
@@ -2,10 +2,10 @@ import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/Para
 import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
 import ParamAdvancedCollapse from 'features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse';
 import ParamInfillAndScalingCollapse from 'features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillAndScalingCollapse';
-import ParamSeamCorrectionCollapse from 'features/parameters/components/Parameters/Canvas/SeamCorrection/ParamSeamCorrectionCollapse';
 import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse';
 import ParamSymmetryCollapse from 'features/parameters/components/Parameters/Symmetry/ParamSymmetryCollapse';
 // import ParamVariationCollapse from 'features/parameters/components/Parameters/Variations/ParamVariationCollapse';
+import ParamMaskAdjustmentCollapse from 'features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskAdjustmentCollapse';
 import ParamPromptArea from 'features/parameters/components/Parameters/Prompt/ParamPromptArea';
 import ProcessButtons from 'features/parameters/components/ProcessButtons/ProcessButtons';
 import UnifiedCanvasCoreParameters from './UnifiedCanvasCoreParameters';
@@ -21,7 +21,7 @@ const UnifiedCanvasParameters = () => {
       <ParamDynamicPromptsCollapse />
       {/* <ParamVariationCollapse /> */}
       <ParamSymmetryCollapse />
-      <ParamSeamCorrectionCollapse />
+      <ParamMaskAdjustmentCollapse />
       <ParamInfillAndScalingCollapse />
       <ParamAdvancedCollapse />
     </>

From 5629d8fa372a170dfba945c251775a147e4a61ee Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 12 Aug 2023 04:43:40 +1200
Subject: [PATCH 162/287] fix; Key issue in Lora List

---
 .../web/src/features/lora/components/ParamLoraList.tsx | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/invokeai/frontend/web/src/features/lora/components/ParamLoraList.tsx b/invokeai/frontend/web/src/features/lora/components/ParamLoraList.tsx
index f10084e585..5ba4e711ef 100644
--- a/invokeai/frontend/web/src/features/lora/components/ParamLoraList.tsx
+++ b/invokeai/frontend/web/src/features/lora/components/ParamLoraList.tsx
@@ -1,4 +1,4 @@
-import { Divider } from '@chakra-ui/react';
+import { Divider, Flex } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
@@ -20,10 +20,10 @@ const ParamLoraList = () => {
   return (
     <>
       {lorasArray.map((lora, i) => (
-        <>
-          {i > 0 && <Divider key={`${lora.model_name}-divider`} pt={1} />}
-          <ParamLora key={lora.model_name} lora={lora} />
-        </>
+        <Flex key={lora.model_name} sx={{ flexDirection: 'column', gap: 2 }}>
+          {i > 0 && <Divider pt={1} />}
+          <ParamLora lora={lora} />
+        </Flex>
       ))}
     </>
   );

From 58a48bf19717d76904e21299cb6b5f32a41a4b33 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 12 Aug 2023 04:47:15 +1200
Subject: [PATCH 163/287] fix: LoRA list name sorting

---
 .../web/src/features/lora/components/ParamLoraSelect.tsx        | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/invokeai/frontend/web/src/features/lora/components/ParamLoraSelect.tsx b/invokeai/frontend/web/src/features/lora/components/ParamLoraSelect.tsx
index 951037f9e3..2046d36ab2 100644
--- a/invokeai/frontend/web/src/features/lora/components/ParamLoraSelect.tsx
+++ b/invokeai/frontend/web/src/features/lora/components/ParamLoraSelect.tsx
@@ -54,6 +54,8 @@ const ParamLoRASelect = () => {
       });
     });
 
+    data.sort((a, b) => (a.label && !b.label ? 1 : -1));
+
     return data.sort((a, b) => (a.disabled && !b.disabled ? 1 : -1));
   }, [loras, loraModels, currentMainModel?.base_model]);
 

From d7d6298ec0538f539df255c6dc3f589b537a61f0 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 12 Aug 2023 05:32:11 +1200
Subject: [PATCH 164/287] feat: Add Infill Method support

---
 .../graphBuilders/buildCanvasInpaintGraph.ts  | 34 ++++++++++++++++++-
 .../nodes/util/graphBuilders/constants.ts     |  2 +-
 .../frontend/web/src/services/api/types.ts    |  6 ++++
 3 files changed, 40 insertions(+), 2 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
index 817e8d5176..968e32efe9 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
@@ -3,6 +3,8 @@ import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
 import {
   ImageDTO,
+  InfillPatchmatchInvocation,
+  InfillTileInvocation,
   RandomIntInvocation,
   RangeOfSizeInvocation,
 } from 'services/api/types';
@@ -18,6 +20,7 @@ import {
   INPAINT_FINAL_IMAGE,
   INPAINT_GRAPH,
   INPAINT_IMAGE,
+  INPAINT_INFILL,
   ITERATE,
   LATENTS_TO_IMAGE,
   MAIN_MODEL_LOADER,
@@ -60,6 +63,8 @@ export const buildCanvasInpaintGraph = (
     clipSkip,
   } = state.generation;
 
+  const { generationMode } = state.canvas;
+
   if (!model) {
     log.error('No model found in state');
     throw new Error('No model found in state');
@@ -79,6 +84,23 @@ export const buildCanvasInpaintGraph = (
     ? shouldUseCpuNoise
     : shouldUseCpuNoise;
 
+  let infillNode: InfillTileInvocation | InfillPatchmatchInvocation = {
+    type: 'infill_tile',
+    id: INPAINT_INFILL,
+    is_intermediate: true,
+    image: canvasInitImage,
+    tile_size: tileSize,
+  };
+
+  if (infillMethod === 'patchmatch') {
+    infillNode = {
+      type: 'infill_patchmatch',
+      id: INPAINT_INFILL,
+      is_intermediate: true,
+      image: canvasInitImage,
+    };
+  }
+
   const graph: NonNullableGraph = {
     id: INPAINT_GRAPH,
     nodes: {
@@ -92,11 +114,11 @@ export const buildCanvasInpaintGraph = (
         denoising_start: 1 - strength,
         denoising_end: 1,
       },
+      [infillNode.id]: infillNode,
       [INPAINT_IMAGE]: {
         type: 'i2l',
         id: INPAINT_IMAGE,
         is_intermediate: true,
-        image: canvasInitImage,
         fp32: vaePrecision === 'fp32' ? true : false,
       },
       [NOISE]: {
@@ -244,6 +266,16 @@ export const buildCanvasInpaintGraph = (
           field: 'noise',
         },
       },
+      {
+        source: {
+          node_id: INPAINT_INFILL,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_IMAGE,
+          field: 'image',
+        },
+      },
       {
         source: {
           node_id: INPAINT_IMAGE,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index 6a66093da0..b75dfbf4c6 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -20,7 +20,7 @@ export const RESIZE = 'resize_image';
 export const INPAINT = 'inpaint';
 export const INPAINT_SEAM_FIX = 'inpaint_seam_fix';
 export const INPAINT_IMAGE = 'inpaint_image';
-export const INFILL_TILE = 'infill_tile';
+export const INPAINT_INFILL = 'inpaint_infill';
 export const INPAINT_FINAL_IMAGE = 'inpaint_final_image';
 export const MASK_FROM_ALPHA = 'tomask';
 export const MASK_EDGE = 'mask_edge';
diff --git a/invokeai/frontend/web/src/services/api/types.ts b/invokeai/frontend/web/src/services/api/types.ts
index 7c8f0908b0..471c995f4d 100644
--- a/invokeai/frontend/web/src/services/api/types.ts
+++ b/invokeai/frontend/web/src/services/api/types.ts
@@ -172,6 +172,12 @@ export type ESRGANInvocation = TypeReq<
 export type DivideInvocation = TypeReq<
   components['schemas']['DivideInvocation']
 >;
+export type InfillTileInvocation = TypeReq<
+  components['schemas']['InfillTileInvocation']
+>;
+export type InfillPatchmatchInvocation = TypeReq<
+  components['schemas']['InfillPatchMatchInvocation']
+>;
 export type ImageNSFWBlurInvocation = TypeReq<
   components['schemas']['ImageNSFWBlurInvocation']
 >;

From 824ca92760bf1ebac22740e35ab1af8dc58f48c0 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Fri, 11 Aug 2023 13:45:52 -0400
Subject: [PATCH 165/287] fix maximum python version instructions

---
 installer/readme.txt | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/installer/readme.txt b/installer/readme.txt
index 5138d0cd52..b9a97e2093 100644
--- a/installer/readme.txt
+++ b/installer/readme.txt
@@ -8,16 +8,13 @@ Preparations:
   to work. Instructions are given here:
   https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/
 
-  NOTE: At this time we do not recommend Python 3.11. We recommend 
-  Version 3.10.9, which has been extensively tested with InvokeAI.
-  
   Before you start the installer, please open up your system's command
   line window (Terminal or Command) and type the commands:
 
      python --version
 
   If all is well, it will print "Python 3.X.X", where the version number
-  is at least 3.9.1, and less than 3.11.
+  is at least 3.9.*, and not higher than 3.11.*.
 
   If this works, check the version of the Python package manager, pip:
 

From f343ab03022ff61498900d22b637439a95de5f6b Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 12 Aug 2023 06:15:59 +1200
Subject: [PATCH 166/287] wip: Port Outpainting to new backend

---
 invokeai/app/invocations/image.py             | 113 ++++++++++--------
 .../graphBuilders/buildCanvasInpaintGraph.ts  |  84 +++++++++++--
 .../nodes/util/graphBuilders/constants.ts     |   1 +
 .../frontend/web/src/services/api/schema.d.ts |  53 ++++++--
 4 files changed, 176 insertions(+), 75 deletions(-)

diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index 9e5cb9ecef..cc05b529b5 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -1,29 +1,19 @@
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
 
-from typing import Literal, Optional
-
-import numpy
-import cv2
-from PIL import Image, ImageFilter, ImageOps, ImageChops
-from pydantic import Field
 from pathlib import Path
-from typing import Union
+from typing import Literal, Optional, Union
+
+import cv2
+import numpy
+from PIL import Image, ImageChops, ImageFilter, ImageOps
+from pydantic import Field
+
 from invokeai.app.invocations.metadata import CoreMetadata
-from ..models.image import (
-    ImageCategory,
-    ImageField,
-    ResourceOrigin,
-    PILInvocationConfig,
-    ImageOutput,
-    MaskOutput,
-)
-from .baseinvocation import (
-    BaseInvocation,
-    InvocationContext,
-    InvocationConfig,
-)
-from invokeai.backend.image_util.safety_checker import SafetyChecker
 from invokeai.backend.image_util.invisible_watermark import InvisibleWatermark
+from invokeai.backend.image_util.safety_checker import SafetyChecker
+
+from ..models.image import ImageCategory, ImageField, ImageOutput, MaskOutput, PILInvocationConfig, ResourceOrigin
+from .baseinvocation import BaseInvocation, InvocationConfig, InvocationContext
 
 
 class LoadImageInvocation(BaseInvocation):
@@ -672,14 +662,10 @@ class MaskEdgeInvocation(BaseInvocation, PILInvocationConfig):
         mask = context.services.images.get_pil_image(self.image.image_name)
 
         npimg = numpy.asarray(mask, dtype=numpy.uint8)
-        npgradient = numpy.uint8(
-            255 * (1.0 - numpy.floor(numpy.abs(0.5 - numpy.float32(npimg) / 255.0) * 2.0))
-        )
+        npgradient = numpy.uint8(255 * (1.0 - numpy.floor(numpy.abs(0.5 - numpy.float32(npimg) / 255.0) * 2.0)))
         npedge = cv2.Canny(npimg, threshold1=self.low_threshold, threshold2=self.high_threshold)
         npmask = npgradient + npedge
-        npmask = cv2.dilate(
-            npmask, numpy.ones((3, 3), numpy.uint8), iterations=int(self.edge_size / 2)
-        )
+        npmask = cv2.dilate(npmask, numpy.ones((3, 3), numpy.uint8), iterations=int(self.edge_size / 2))
 
         new_mask = Image.fromarray(npmask)
 
@@ -704,9 +690,47 @@ class MaskEdgeInvocation(BaseInvocation, PILInvocationConfig):
         )
 
 
+class MaskCombineInvocation(BaseInvocation, PILInvocationConfig):
+    """Combine two masks together by multiplying them using `PIL.ImageChops.multiply()`."""
+
+    # fmt: off
+    type: Literal["mask_combine"] = "mask_combine"
+
+    # Inputs
+    mask1: Optional[ImageField]  = Field(default=None, description="The first mask to combine")
+    mask2: Optional[ImageField]  = Field(default=None, description="The second image to combine")
+    # fmt: on
+
+    class Config(InvocationConfig):
+        schema_extra = {
+            "ui": {"title": "Mask Combine", "tags": ["mask", "combine"]},
+        }
+
+    def invoke(self, context: InvocationContext) -> ImageOutput:
+        mask1 = context.services.images.get_pil_image(self.mask1.image_name).convert("L")
+        mask2 = context.services.images.get_pil_image(self.mask2.image_name).convert("L")
+
+        combined_mask = ImageChops.multiply(mask1, mask2)
+
+        image_dto = context.services.images.create(
+            image=combined_mask,
+            image_origin=ResourceOrigin.INTERNAL,
+            image_category=ImageCategory.GENERAL,
+            node_id=self.id,
+            session_id=context.graph_execution_state_id,
+            is_intermediate=self.is_intermediate,
+        )
+
+        return ImageOutput(
+            image=ImageField(image_name=image_dto.image_name),
+            width=image_dto.width,
+            height=image_dto.height,
+        )
+
+
 class ColorCorrectInvocation(BaseInvocation, PILInvocationConfig):
     """
-    Shifts the colors of a target image to match the reference image, optionally 
+    Shifts the colors of a target image to match the reference image, optionally
     using a mask to only color-correct certain regions of the target image.
     """
 
@@ -720,32 +744,23 @@ class ColorCorrectInvocation(BaseInvocation, PILInvocationConfig):
     def invoke(self, context: InvocationContext) -> ImageOutput:
         pil_init_mask = None
         if self.mask is not None:
-            pil_init_mask = context.services.images.get_pil_image(
-                self.mask.image_name
-            ).convert("L")
+            pil_init_mask = context.services.images.get_pil_image(self.mask.image_name).convert("L")
 
-        init_image = context.services.images.get_pil_image(
-            self.reference.image_name
-        )
+        init_image = context.services.images.get_pil_image(self.reference.image_name)
 
-        result = context.services.images.get_pil_image(
-            self.image.image_name
-        ).convert("RGBA")
+        result = context.services.images.get_pil_image(self.image.image_name).convert("RGBA")
 
-
-        #if init_image is None or init_mask is None:
+        # if init_image is None or init_mask is None:
         #    return result
 
         # Get the original alpha channel of the mask if there is one.
         # Otherwise it is some other black/white image format ('1', 'L' or 'RGB')
-        #pil_init_mask = (
+        # pil_init_mask = (
         #    init_mask.getchannel("A")
         #    if init_mask.mode == "RGBA"
         #    else init_mask.convert("L")
-        #)
-        pil_init_image = init_image.convert(
-            "RGBA"
-        )  # Add an alpha channel if one doesn't exist
+        # )
+        pil_init_image = init_image.convert("RGBA")  # Add an alpha channel if one doesn't exist
 
         # Build an image with only visible pixels from source to use as reference for color-matching.
         init_rgb_pixels = numpy.asarray(init_image.convert("RGB"), dtype=numpy.uint8)
@@ -771,10 +786,7 @@ class ColorCorrectInvocation(BaseInvocation, PILInvocationConfig):
             np_matched_result[:, :, :] = (
                 (
                     (
-                        (
-                            np_matched_result[:, :, :].astype(numpy.float32)
-                            - gen_means[None, None, :]
-                        )
+                        (np_matched_result[:, :, :].astype(numpy.float32) - gen_means[None, None, :])
                         / gen_std[None, None, :]
                     )
                     * init_std[None, None, :]
@@ -800,10 +812,7 @@ class ColorCorrectInvocation(BaseInvocation, PILInvocationConfig):
         else:
             blurred_init_mask = pil_init_mask
 
-
-        multiplied_blurred_init_mask = ImageChops.multiply(
-            blurred_init_mask, result.split()[-1]
-        )
+        multiplied_blurred_init_mask = ImageChops.multiply(blurred_init_mask, result.split()[-1])
 
         # Paste original on color-corrected generation (using blurred mask)
         matched_result.paste(init_image, (0, 0), mask=multiplied_blurred_init_mask)
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
index 968e32efe9..1e2b9d76d8 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
@@ -25,6 +25,8 @@ import {
   LATENTS_TO_IMAGE,
   MAIN_MODEL_LOADER,
   MASK_BLUR,
+  MASK_COMBINE,
+  MASK_FROM_ALPHA,
   NEGATIVE_CONDITIONING,
   NOISE,
   POSITIVE_CONDITIONING,
@@ -63,8 +65,6 @@ export const buildCanvasInpaintGraph = (
     clipSkip,
   } = state.generation;
 
-  const { generationMode } = state.canvas;
-
   if (!model) {
     log.error('No model found in state');
     throw new Error('No model found in state');
@@ -115,6 +115,25 @@ export const buildCanvasInpaintGraph = (
         denoising_end: 1,
       },
       [infillNode.id]: infillNode,
+      [MASK_FROM_ALPHA]: {
+        type: 'tomask',
+        id: MASK_FROM_ALPHA,
+        is_intermediate: true,
+        image: canvasInitImage,
+      },
+      [MASK_COMBINE]: {
+        type: 'mask_combine',
+        id: MASK_COMBINE,
+        is_intermediate: true,
+        mask2: canvasMaskImage,
+      },
+      [MASK_BLUR]: {
+        type: 'img_blur',
+        id: MASK_BLUR,
+        is_intermediate: true,
+        radius: maskBlur,
+        blur_type: maskBlurMethod,
+      },
       [INPAINT_IMAGE]: {
         type: 'i2l',
         id: INPAINT_IMAGE,
@@ -163,22 +182,11 @@ export const buildCanvasInpaintGraph = (
         type: 'color_correct',
         id: COLOR_CORRECT,
         is_intermediate: true,
-        reference: canvasInitImage,
-        mask: canvasMaskImage,
-      },
-      [MASK_BLUR]: {
-        type: 'img_blur',
-        id: MASK_BLUR,
-        is_intermediate: true,
-        image: canvasMaskImage,
-        radius: maskBlur,
-        blur_type: maskBlurMethod,
       },
       [INPAINT_FINAL_IMAGE]: {
         type: 'img_paste',
         id: INPAINT_FINAL_IMAGE,
         is_intermediate: true,
-        base_image: canvasInitImage,
       },
       [RANGE_OF_SIZE]: {
         type: 'range_of_size',
@@ -286,6 +294,26 @@ export const buildCanvasInpaintGraph = (
           field: 'latents',
         },
       },
+      {
+        source: {
+          node_id: MASK_FROM_ALPHA,
+          field: 'mask',
+        },
+        destination: {
+          node_id: MASK_COMBINE,
+          field: 'mask1',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_COMBINE,
+          field: 'image',
+        },
+        destination: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+      },
       {
         source: {
           node_id: MASK_BLUR,
@@ -326,6 +354,26 @@ export const buildCanvasInpaintGraph = (
           field: 'latents',
         },
       },
+      {
+        source: {
+          node_id: INPAINT_INFILL,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'reference',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'mask',
+        },
+      },
       {
         source: {
           node_id: LATENTS_TO_IMAGE,
@@ -336,6 +384,16 @@ export const buildCanvasInpaintGraph = (
           field: 'image',
         },
       },
+      {
+        source: {
+          node_id: INPAINT_INFILL,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_FINAL_IMAGE,
+          field: 'base_image',
+        },
+      },
       {
         source: {
           node_id: MASK_BLUR,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index b75dfbf4c6..076c92eb76 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -25,6 +25,7 @@ export const INPAINT_FINAL_IMAGE = 'inpaint_final_image';
 export const MASK_FROM_ALPHA = 'tomask';
 export const MASK_EDGE = 'mask_edge';
 export const MASK_BLUR = 'mask_blur';
+export const MASK_COMBINE = 'mask_combine';
 export const COLOR_CORRECT = 'color_correct';
 export const PASTE_IMAGE = 'img_paste';
 export const CONTROL_NET_COLLECT = 'control_net_collect';
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 9755af9e32..b4fcf7f75c 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -714,7 +714,7 @@ export type components = {
     };
     /**
      * ColorCorrectInvocation 
-     * @description Shifts the colors of a target image to match the reference image, optionally 
+     * @description Shifts the colors of a target image to match the reference image, optionally
      * using a mask to only color-correct certain regions of the target image.
      */
     ColorCorrectInvocation: {
@@ -1586,7 +1586,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
+        [key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
       };
       /**
        * Edges 
@@ -3273,6 +3273,39 @@ export type components = {
        */
       model: components["schemas"]["MainModelField"];
     };
+    /**
+     * MaskCombineInvocation 
+     * @description Combine two masks together by multiplying them using `PIL.ImageChops.multiply()`.
+     */
+    MaskCombineInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default mask_combine 
+       * @enum {string}
+       */
+      type?: "mask_combine";
+      /**
+       * Mask1 
+       * @description The first mask to combine
+       */
+      mask1?: components["schemas"]["ImageField"];
+      /**
+       * Mask2 
+       * @description The second image to combine
+       */
+      mask2?: components["schemas"]["ImageField"];
+    };
     /**
      * MaskEdgeInvocation 
      * @description Applies an edge mask to an image
@@ -5753,12 +5786,6 @@ export type components = {
      * @enum {string}
      */
     StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusionOnnxModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusionOnnxModelFormat: "olive" | "onnx";
     /**
      * ControlNetModelFormat 
      * @description An enumeration. 
@@ -5771,6 +5798,12 @@ export type components = {
      * @enum {string}
      */
     StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionOnnxModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusionOnnxModelFormat: "olive" | "onnx";
     /**
      * StableDiffusion1ModelFormat 
      * @description An enumeration. 
@@ -5887,7 +5920,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -5924,7 +5957,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {

From 6a8eb392b28045412d97ec1e2496cb04ddb0c17f Mon Sep 17 00:00:00 2001
From: Ryan Dick <ryanjdick3@gmail.com>
Date: Fri, 11 Aug 2023 11:35:47 -0400
Subject: [PATCH 167/287] Add support for loading SDXL LoRA weights in
 diffusers format.

---
 .../backend/model_management/models/lora.py   | 92 +++++++++++++------
 1 file changed, 63 insertions(+), 29 deletions(-)

diff --git a/invokeai/backend/model_management/models/lora.py b/invokeai/backend/model_management/models/lora.py
index 88a50fb4fd..b6f321d60b 100644
--- a/invokeai/backend/model_management/models/lora.py
+++ b/invokeai/backend/model_management/models/lora.py
@@ -1,18 +1,21 @@
+import bisect
 import os
-import torch
 from enum import Enum
-from typing import Optional, Dict, Union, Literal, Any
 from pathlib import Path
+from typing import Dict, Optional, Union
+
+import torch
 from safetensors.torch import load_file
+
 from .base import (
+    BaseModelType,
+    InvalidModelException,
     ModelBase,
     ModelConfigBase,
-    BaseModelType,
+    ModelNotFoundException,
     ModelType,
     SubModelType,
     classproperty,
-    InvalidModelException,
-    ModelNotFoundException,
 )
 
 
@@ -482,30 +485,61 @@ class LoRAModelRaw:  # (torch.nn.Module):
         return model_size
 
     @classmethod
-    def _convert_sdxl_compvis_keys(cls, state_dict):
+    def _convert_sdxl_keys_to_diffusers_format(cls, state_dict):
+        """Convert the keys of an SDXL LoRA state_dict to diffusers format.
+
+        The input state_dict can be in either Stability AI format or diffusers format. If the state_dict is already in
+        diffusers format, then this function will have no effect.
+
+        This function is adapted from:
+        https://github.com/bmaltais/kohya_ss/blob/2accb1305979ba62f5077a23aabac23b4c37e935/networks/lora_diffusers.py#L385-L409
+
+        Args:
+            state_dict (Dict[str, Tensor]): The SDXL LoRA state_dict.
+
+        Raises:
+            ValueError: If state_dict contains an unrecognized key, or not all keys could be converted.
+
+        Returns:
+            Dict[str, Tensor]: The diffusers-format state_dict.
+        """
+        converted_count = 0  # The number of Stability AI keys converted to diffusers format.
+        not_converted_count = 0  # The number of keys that were not converted.
+
+        # Get a sorted list of Stability AI UNet keys so that we can efficiently search for keys with matching prefixes.
+        # For example, we want to efficiently find `input_blocks_4_1` in the list when searching for
+        # `input_blocks_4_1_proj_in`.
+        stability_unet_keys = list(SDXL_UNET_STABILITY_TO_DIFFUSERS_MAP)
+        stability_unet_keys.sort()
+
         new_state_dict = dict()
         for full_key, value in state_dict.items():
-            if full_key.startswith("lora_te1_") or full_key.startswith("lora_te2_"):
-                continue  # clip same
+            if full_key.startswith("lora_unet_"):
+                search_key = full_key.replace("lora_unet_", "")
+                # Use bisect to find the key in stability_unet_keys that *may* match the search_key's prefix.
+                position = bisect.bisect_right(stability_unet_keys, search_key)
+                map_key = stability_unet_keys[position - 1]
+                # Now, check if the map_key *actually* matches the search_key.
+                if search_key.startswith(map_key):
+                    new_key = full_key.replace(map_key, SDXL_UNET_STABILITY_TO_DIFFUSERS_MAP[map_key])
+                    new_state_dict[new_key] = value
+                    converted_count += 1
+                else:
+                    new_state_dict[full_key] = value
+                    not_converted_count += 1
+            elif full_key.startswith("lora_te1_") or full_key.startswith("lora_te2_"):
+                # The CLIP text encoders have the same keys in both Stability AI and diffusers formats.
+                new_state_dict[full_key] = value
+                continue
+            else:
+                raise ValueError(f"Unrecognized SDXL LoRA key prefix: '{full_key}'.")
 
-            if not full_key.startswith("lora_unet_"):
-                raise NotImplementedError(f"Unknown prefix for sdxl lora key - {full_key}")
-            src_key = full_key.replace("lora_unet_", "")
-            try:
-                dst_key = None
-                while "_" in src_key:
-                    if src_key in SDXL_UNET_COMPVIS_MAP:
-                        dst_key = SDXL_UNET_COMPVIS_MAP[src_key]
-                        break
-                    src_key = "_".join(src_key.split("_")[:-1])
+        if converted_count > 0 and not_converted_count > 0:
+            raise ValueError(
+                f"The SDXL LoRA could only be partially converted to diffusers format. converted={converted_count},"
+                f" not_converted={not_converted_count}"
+            )
 
-                if dst_key is None:
-                    raise Exception(f"Unknown sdxl lora key - {full_key}")
-                new_key = full_key.replace(src_key, dst_key)
-            except:
-                print(SDXL_UNET_COMPVIS_MAP)
-                raise
-            new_state_dict[new_key] = value
         return new_state_dict
 
     @classmethod
@@ -537,7 +571,7 @@ class LoRAModelRaw:  # (torch.nn.Module):
         state_dict = cls._group_state(state_dict)
 
         if base_model == BaseModelType.StableDiffusionXL:
-            state_dict = cls._convert_sdxl_compvis_keys(state_dict)
+            state_dict = cls._convert_sdxl_keys_to_diffusers_format(state_dict)
 
         for layer_key, values in state_dict.items():
             # lora and locon
@@ -588,6 +622,7 @@ class LoRAModelRaw:  # (torch.nn.Module):
 # code from
 # https://github.com/bmaltais/kohya_ss/blob/2accb1305979ba62f5077a23aabac23b4c37e935/networks/lora_diffusers.py#L15C1-L97C32
 def make_sdxl_unet_conversion_map():
+    """Create a dict mapping state_dict keys from Stability AI SDXL format to diffusers SDXL format."""
     unet_conversion_map_layer = []
 
     for i in range(3):  # num_blocks is 3 in sdxl
@@ -671,7 +706,6 @@ def make_sdxl_unet_conversion_map():
     return unet_conversion_map
 
 
-SDXL_UNET_COMPVIS_MAP = {
-    f"{sd}".rstrip(".").replace(".", "_"): f"{hf}".rstrip(".").replace(".", "_")
-    for sd, hf in make_sdxl_unet_conversion_map()
+SDXL_UNET_STABILITY_TO_DIFFUSERS_MAP = {
+    sd.rstrip(".").replace(".", "_"): hf.rstrip(".").replace(".", "_") for sd, hf in make_sdxl_unet_conversion_map()
 }

From 0b11f309cae6780d321ede8dab67270166655fae Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Fri, 11 Aug 2023 13:58:41 -0400
Subject: [PATCH 168/287] instead of crashing when a corrupted model is
 detected, warn and move on

---
 invokeai/backend/model_management/models/sdxl.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/backend/model_management/models/sdxl.py b/invokeai/backend/model_management/models/sdxl.py
index 1b5d252cb9..5bbe05be98 100644
--- a/invokeai/backend/model_management/models/sdxl.py
+++ b/invokeai/backend/model_management/models/sdxl.py
@@ -1,6 +1,5 @@
 import os
 import json
-import invokeai.backend.util.logging as logger
 from enum import Enum
 from pydantic import Field
 from typing import Literal, Optional
@@ -12,6 +11,7 @@ from .base import (
     DiffusersModel,
     read_checkpoint_meta,
     classproperty,
+    InvalidModelException,
 )
 from omegaconf import OmegaConf
 
@@ -65,7 +65,7 @@ class StableDiffusionXLModel(DiffusersModel):
                 in_channels = unet_config["in_channels"]
 
             else:
-                raise Exception("Not supported stable diffusion diffusers format(possibly onnx?)")
+                raise InvalidModelException(f"{path} is not a recognized Stable Diffusion diffusers model")
 
         else:
             raise NotImplementedError(f"Unknown stable diffusion 2.* format: {model_format}")

From 7293a6036ad27e400188a9b774156f3224784500 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 12 Aug 2023 08:16:05 +1200
Subject: [PATCH 169/287] feat(wip): Add SDXL To Canvas

---
 .../listeners/tabChanged.ts                   |   9 +-
 .../util/graphBuilders/buildCanvasGraph.ts    |  35 +-
 .../buildCanvasSDXLImageToImageGraph.ts       | 373 ++++++++++++++
 .../buildCanvasSDXLInpaintGraph.ts            | 480 ++++++++++++++++++
 .../buildCanvasSDXLTextToImageGraph.ts        | 304 +++++++++++
 .../MainModel/ParamMainModelSelect.tsx        |   7 +-
 .../SDXLUnifiedCanvasTabParameters.tsx        |  29 ++
 .../tabs/UnifiedCanvas/UnifiedCanvasTab.tsx   |  10 +-
 8 files changed, 1236 insertions(+), 11 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
 create mode 100644 invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
 create mode 100644 invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
 create mode 100644 invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/tabChanged.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/tabChanged.ts
index 6d3e599ae2..6791324fdd 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/tabChanged.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/tabChanged.ts
@@ -12,7 +12,10 @@ export const addTabChangedListener = () => {
       if (activeTabName === 'unifiedCanvas') {
         const currentBaseModel = getState().generation.model?.base_model;
 
-        if (currentBaseModel && ['sd-1', 'sd-2'].includes(currentBaseModel)) {
+        if (
+          currentBaseModel &&
+          ['sd-1', 'sd-2', 'sdxl'].includes(currentBaseModel)
+        ) {
           // if we're already on a valid model, no change needed
           return;
         }
@@ -36,7 +39,9 @@ export const addTabChangedListener = () => {
           const validCanvasModels = mainModelsAdapter
             .getSelectors()
             .selectAll(models)
-            .filter((model) => ['sd-1', 'sd-2'].includes(model.base_model));
+            .filter((model) =>
+              ['sd-1', 'sd-2', 'sxdl'].includes(model.base_model)
+            );
 
           const firstValidCanvasModel = validCanvasModels[0];
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts
index 8a7716071f..dd0a5e6619 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts
@@ -3,6 +3,9 @@ import { NonNullableGraph } from 'features/nodes/types/types';
 import { ImageDTO } from 'services/api/types';
 import { buildCanvasImageToImageGraph } from './buildCanvasImageToImageGraph';
 import { buildCanvasInpaintGraph } from './buildCanvasInpaintGraph';
+import { buildCanvasSDXLImageToImageGraph } from './buildCanvasSDXLImageToImageGraph';
+import { buildCanvasSDXLInpaintGraph } from './buildCanvasSDXLInpaintGraph';
+import { buildCanvasSDXLTextToImageGraph } from './buildCanvasSDXLTextToImageGraph';
 import { buildCanvasTextToImageGraph } from './buildCanvasTextToImageGraph';
 
 export const buildCanvasGraph = (
@@ -14,17 +17,43 @@ export const buildCanvasGraph = (
   let graph: NonNullableGraph;
 
   if (generationMode === 'txt2img') {
-    graph = buildCanvasTextToImageGraph(state);
+    if (
+      state.generation.model &&
+      state.generation.model.base_model === 'sdxl'
+    ) {
+      graph = buildCanvasSDXLTextToImageGraph(state);
+    } else {
+      graph = buildCanvasTextToImageGraph(state);
+    }
   } else if (generationMode === 'img2img') {
     if (!canvasInitImage) {
       throw new Error('Missing canvas init image');
     }
-    graph = buildCanvasImageToImageGraph(state, canvasInitImage);
+    if (
+      state.generation.model &&
+      state.generation.model.base_model === 'sdxl'
+    ) {
+      graph = buildCanvasSDXLImageToImageGraph(state, canvasInitImage);
+    } else {
+      graph = buildCanvasImageToImageGraph(state, canvasInitImage);
+    }
   } else {
     if (!canvasInitImage || !canvasMaskImage) {
       throw new Error('Missing canvas init and mask images');
     }
-    graph = buildCanvasInpaintGraph(state, canvasInitImage, canvasMaskImage);
+
+    if (
+      state.generation.model &&
+      state.generation.model.base_model === 'sdxl'
+    ) {
+      graph = buildCanvasSDXLInpaintGraph(
+        state,
+        canvasInitImage,
+        canvasMaskImage
+      );
+    } else {
+      graph = buildCanvasInpaintGraph(state, canvasInitImage, canvasMaskImage);
+    }
   }
 
   return graph;
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
new file mode 100644
index 0000000000..b8322fd612
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
@@ -0,0 +1,373 @@
+import { logger } from 'app/logging/logger';
+import { RootState } from 'app/store/store';
+import { NonNullableGraph } from 'features/nodes/types/types';
+import { initialGenerationState } from 'features/parameters/store/generationSlice';
+import {
+  ImageDTO,
+  ImageResizeInvocation,
+  ImageToLatentsInvocation,
+} from 'services/api/types';
+import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
+import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
+import { addLoRAsToGraph } from './addLoRAsToGraph';
+import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
+import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
+import { addVAEToGraph } from './addVAEToGraph';
+import { addWatermarkerToGraph } from './addWatermarkerToGraph';
+import {
+  DENOISE_LATENTS,
+  IMAGE_TO_IMAGE_GRAPH,
+  IMAGE_TO_LATENTS,
+  LATENTS_TO_IMAGE,
+  METADATA_ACCUMULATOR,
+  NEGATIVE_CONDITIONING,
+  NOISE,
+  POSITIVE_CONDITIONING,
+  RESIZE,
+  SDXL_MODEL_LOADER,
+} from './constants';
+
+/**
+ * Builds the Canvas tab's Image to Image graph.
+ */
+export const buildCanvasSDXLImageToImageGraph = (
+  state: RootState,
+  initialImage: ImageDTO
+): NonNullableGraph => {
+  const log = logger('nodes');
+  const {
+    positivePrompt,
+    negativePrompt,
+    model,
+    cfgScale: cfg_scale,
+    scheduler,
+    steps,
+    clipSkip,
+    shouldUseCpuNoise,
+    shouldUseNoiseSettings,
+  } = state.generation;
+
+  const {
+    positiveStylePrompt,
+    negativeStylePrompt,
+    shouldConcatSDXLStylePrompt,
+    shouldUseSDXLRefiner,
+    refinerStart,
+    sdxlImg2ImgDenoisingStrength: strength,
+  } = state.sdxl;
+
+  // The bounding box determines width and height, not the width and height params
+  const { width, height } = state.canvas.boundingBoxDimensions;
+
+  const { shouldAutoSave } = state.canvas;
+
+  if (!model) {
+    log.error('No model found in state');
+    throw new Error('No model found in state');
+  }
+
+  const use_cpu = shouldUseNoiseSettings
+    ? shouldUseCpuNoise
+    : initialGenerationState.shouldUseCpuNoise;
+
+  /**
+   * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
+   * full graph here as a template. Then use the parameters from app state and set friendlier node
+   * ids.
+   *
+   * The only thing we need extra logic for is handling randomized seed, control net, and for img2img,
+   * the `fit` param. These are added to the graph at the end.
+   */
+
+  // copy-pasted graph from node editor, filled in with state values & friendly node ids
+  const graph: NonNullableGraph = {
+    id: IMAGE_TO_IMAGE_GRAPH,
+    nodes: {
+      [SDXL_MODEL_LOADER]: {
+        type: 'sdxl_model_loader',
+        id: SDXL_MODEL_LOADER,
+        model,
+      },
+      [POSITIVE_CONDITIONING]: {
+        type: 'sdxl_compel_prompt',
+        id: POSITIVE_CONDITIONING,
+        prompt: positivePrompt,
+        style: shouldConcatSDXLStylePrompt
+          ? `${positivePrompt} ${positiveStylePrompt}`
+          : positiveStylePrompt,
+      },
+      [NEGATIVE_CONDITIONING]: {
+        type: 'sdxl_compel_prompt',
+        id: NEGATIVE_CONDITIONING,
+        prompt: negativePrompt,
+        style: shouldConcatSDXLStylePrompt
+          ? `${negativePrompt} ${negativeStylePrompt}`
+          : negativeStylePrompt,
+      },
+      [NOISE]: {
+        type: 'noise',
+        id: NOISE,
+        is_intermediate: true,
+        use_cpu,
+      },
+      [DENOISE_LATENTS]: {
+        type: 'denoise_latents',
+        id: DENOISE_LATENTS,
+        is_intermediate: true,
+        cfg_scale,
+        scheduler,
+        steps,
+        denoising_start: shouldUseSDXLRefiner
+          ? Math.min(refinerStart, 1 - strength)
+          : 1 - strength,
+        denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
+      },
+      [IMAGE_TO_LATENTS]: {
+        type: 'i2l',
+        id: IMAGE_TO_LATENTS,
+        is_intermediate: true,
+        // must be set manually later, bc `fit` parameter may require a resize node inserted
+        // image: {
+        //   image_name: initialImage.image_name,
+        // },
+      },
+      [LATENTS_TO_IMAGE]: {
+        type: 'l2i',
+        id: LATENTS_TO_IMAGE,
+        is_intermediate: !shouldAutoSave,
+      },
+    },
+    edges: [
+      {
+        source: {
+          node_id: DENOISE_LATENTS,
+          field: 'latents',
+        },
+        destination: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'latents',
+        },
+      },
+      {
+        source: {
+          node_id: IMAGE_TO_LATENTS,
+          field: 'latents',
+        },
+        destination: {
+          node_id: DENOISE_LATENTS,
+          field: 'latents',
+        },
+      },
+      {
+        source: {
+          node_id: NOISE,
+          field: 'noise',
+        },
+        destination: {
+          node_id: DENOISE_LATENTS,
+          field: 'noise',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'unet',
+        },
+        destination: {
+          node_id: DENOISE_LATENTS,
+          field: 'unet',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'clip',
+        },
+        destination: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'clip',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'clip2',
+        },
+        destination: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'clip2',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'clip',
+        },
+        destination: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'clip',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'clip2',
+        },
+        destination: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'clip2',
+        },
+      },
+      {
+        source: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: DENOISE_LATENTS,
+          field: 'negative_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: DENOISE_LATENTS,
+          field: 'positive_conditioning',
+        },
+      },
+    ],
+  };
+
+  // handle `fit`
+  if (initialImage.width !== width || initialImage.height !== height) {
+    // The init image needs to be resized to the specified width and height before being passed to `IMAGE_TO_LATENTS`
+
+    // Create a resize node, explicitly setting its image
+    const resizeNode: ImageResizeInvocation = {
+      id: RESIZE,
+      type: 'img_resize',
+      image: {
+        image_name: initialImage.image_name,
+      },
+      is_intermediate: true,
+      width,
+      height,
+    };
+
+    graph.nodes[RESIZE] = resizeNode;
+
+    // The `RESIZE` node then passes its image to `IMAGE_TO_LATENTS`
+    graph.edges.push({
+      source: { node_id: RESIZE, field: 'image' },
+      destination: {
+        node_id: IMAGE_TO_LATENTS,
+        field: 'image',
+      },
+    });
+
+    // The `RESIZE` node also passes its width and height to `NOISE`
+    graph.edges.push({
+      source: { node_id: RESIZE, field: 'width' },
+      destination: {
+        node_id: NOISE,
+        field: 'width',
+      },
+    });
+
+    graph.edges.push({
+      source: { node_id: RESIZE, field: 'height' },
+      destination: {
+        node_id: NOISE,
+        field: 'height',
+      },
+    });
+  } else {
+    // We are not resizing, so we need to set the image on the `IMAGE_TO_LATENTS` node explicitly
+    (graph.nodes[IMAGE_TO_LATENTS] as ImageToLatentsInvocation).image = {
+      image_name: initialImage.image_name,
+    };
+
+    // Pass the image's dimensions to the `NOISE` node
+    graph.edges.push({
+      source: { node_id: IMAGE_TO_LATENTS, field: 'width' },
+      destination: {
+        node_id: NOISE,
+        field: 'width',
+      },
+    });
+    graph.edges.push({
+      source: { node_id: IMAGE_TO_LATENTS, field: 'height' },
+      destination: {
+        node_id: NOISE,
+        field: 'height',
+      },
+    });
+  }
+
+  // add metadata accumulator, which is only mostly populated - some fields are added later
+  graph.nodes[METADATA_ACCUMULATOR] = {
+    id: METADATA_ACCUMULATOR,
+    type: 'metadata_accumulator',
+    generation_mode: 'img2img',
+    cfg_scale,
+    height,
+    width,
+    positive_prompt: '', // set in addDynamicPromptsToGraph
+    negative_prompt: negativePrompt,
+    model,
+    seed: 0, // set in addDynamicPromptsToGraph
+    steps,
+    rand_device: use_cpu ? 'cpu' : 'cuda',
+    scheduler,
+    vae: undefined, // option; set in addVAEToGraph
+    controlnets: [], // populated in addControlNetToLinearGraph
+    loras: [], // populated in addLoRAsToGraph
+    clip_skip: clipSkip,
+    strength,
+    init_image: initialImage.image_name,
+  };
+
+  graph.edges.push({
+    source: {
+      node_id: METADATA_ACCUMULATOR,
+      field: 'metadata',
+    },
+    destination: {
+      node_id: LATENTS_TO_IMAGE,
+      field: 'metadata',
+    },
+  });
+
+  // add LoRA support
+  addLoRAsToGraph(state, graph, DENOISE_LATENTS);
+
+  // Add Refiner if enabled
+  if (shouldUseSDXLRefiner) {
+    addSDXLRefinerToGraph(state, graph, DENOISE_LATENTS);
+  }
+
+  // optionally add custom VAE
+  addVAEToGraph(state, graph, SDXL_MODEL_LOADER);
+
+  // add dynamic prompts - also sets up core iteration and seed
+  addDynamicPromptsToGraph(state, graph);
+
+  // add controlnet, mutating `graph`
+  addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
+
+  // NSFW & watermark - must be last thing added to graph
+  if (state.system.shouldUseNSFWChecker) {
+    // must add before watermarker!
+    addNSFWCheckerToGraph(state, graph);
+  }
+
+  if (state.system.shouldUseWatermarker) {
+    // must add after nsfw checker!
+    addWatermarkerToGraph(state, graph);
+  }
+
+  return graph;
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
new file mode 100644
index 0000000000..04cc120cbe
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
@@ -0,0 +1,480 @@
+import { logger } from 'app/logging/logger';
+import { RootState } from 'app/store/store';
+import { NonNullableGraph } from 'features/nodes/types/types';
+import {
+  ImageDTO,
+  InfillPatchmatchInvocation,
+  InfillTileInvocation,
+  RandomIntInvocation,
+  RangeOfSizeInvocation,
+} from 'services/api/types';
+import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
+import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
+import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
+import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
+import { addVAEToGraph } from './addVAEToGraph';
+import { addWatermarkerToGraph } from './addWatermarkerToGraph';
+import {
+  COLOR_CORRECT,
+  INPAINT,
+  INPAINT_FINAL_IMAGE,
+  INPAINT_GRAPH,
+  INPAINT_IMAGE,
+  INPAINT_INFILL,
+  ITERATE,
+  LATENTS_TO_IMAGE,
+  MASK_BLUR,
+  MASK_COMBINE,
+  MASK_FROM_ALPHA,
+  NEGATIVE_CONDITIONING,
+  NOISE,
+  POSITIVE_CONDITIONING,
+  RANDOM_INT,
+  RANGE_OF_SIZE,
+  SDXL_MODEL_LOADER,
+} from './constants';
+
+/**
+ * Builds the Canvas tab's Inpaint graph.
+ */
+export const buildCanvasSDXLInpaintGraph = (
+  state: RootState,
+  canvasInitImage: ImageDTO,
+  canvasMaskImage: ImageDTO
+): NonNullableGraph => {
+  const log = logger('nodes');
+  const {
+    positivePrompt,
+    negativePrompt,
+    model,
+    cfgScale: cfg_scale,
+    scheduler,
+    steps,
+    img2imgStrength: strength,
+    shouldFitToWidthHeight,
+    iterations,
+    seed,
+    shouldRandomizeSeed,
+    vaePrecision,
+    shouldUseNoiseSettings,
+    shouldUseCpuNoise,
+    maskBlur,
+    maskBlurMethod,
+    tileSize,
+    infillMethod,
+  } = state.generation;
+
+  const {
+    positiveStylePrompt,
+    negativeStylePrompt,
+    shouldConcatSDXLStylePrompt,
+    shouldUseSDXLRefiner,
+    refinerStart,
+  } = state.sdxl;
+
+  if (!model) {
+    log.error('No model found in state');
+    throw new Error('No model found in state');
+  }
+
+  // The bounding box determines width and height, not the width and height params
+  const { width, height } = state.canvas.boundingBoxDimensions;
+
+  // We may need to set the inpaint width and height to scale the image
+  const {
+    scaledBoundingBoxDimensions,
+    boundingBoxScaleMethod,
+    shouldAutoSave,
+  } = state.canvas;
+
+  const use_cpu = shouldUseNoiseSettings
+    ? shouldUseCpuNoise
+    : shouldUseCpuNoise;
+
+  let infillNode: InfillTileInvocation | InfillPatchmatchInvocation = {
+    type: 'infill_tile',
+    id: INPAINT_INFILL,
+    is_intermediate: true,
+    image: canvasInitImage,
+    tile_size: tileSize,
+  };
+
+  if (infillMethod === 'patchmatch') {
+    infillNode = {
+      type: 'infill_patchmatch',
+      id: INPAINT_INFILL,
+      is_intermediate: true,
+      image: canvasInitImage,
+    };
+  }
+
+  const graph: NonNullableGraph = {
+    id: INPAINT_GRAPH,
+    nodes: {
+      [INPAINT]: {
+        type: 'denoise_latents',
+        id: INPAINT,
+        is_intermediate: true,
+        steps: steps,
+        cfg_scale: cfg_scale,
+        scheduler: scheduler,
+        denoising_start: 1 - strength,
+        denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
+      },
+      [infillNode.id]: infillNode,
+      [MASK_FROM_ALPHA]: {
+        type: 'tomask',
+        id: MASK_FROM_ALPHA,
+        is_intermediate: true,
+        image: canvasInitImage,
+      },
+      [MASK_COMBINE]: {
+        type: 'mask_combine',
+        id: MASK_COMBINE,
+        is_intermediate: true,
+        mask2: canvasMaskImage,
+      },
+      [MASK_BLUR]: {
+        type: 'img_blur',
+        id: MASK_BLUR,
+        is_intermediate: true,
+        radius: maskBlur,
+        blur_type: maskBlurMethod,
+      },
+      [INPAINT_IMAGE]: {
+        type: 'i2l',
+        id: INPAINT_IMAGE,
+        is_intermediate: true,
+        fp32: vaePrecision === 'fp32' ? true : false,
+      },
+      [NOISE]: {
+        type: 'noise',
+        id: NOISE,
+        width,
+        height,
+        use_cpu,
+        is_intermediate: true,
+      },
+      [POSITIVE_CONDITIONING]: {
+        type: 'sdxl_compel_prompt',
+        id: POSITIVE_CONDITIONING,
+        prompt: positivePrompt,
+        style: shouldConcatSDXLStylePrompt
+          ? `${positivePrompt} ${positiveStylePrompt}`
+          : positiveStylePrompt,
+      },
+      [NEGATIVE_CONDITIONING]: {
+        type: 'sdxl_compel_prompt',
+        id: NEGATIVE_CONDITIONING,
+        prompt: negativePrompt,
+        style: shouldConcatSDXLStylePrompt
+          ? `${negativePrompt} ${negativeStylePrompt}`
+          : negativeStylePrompt,
+      },
+      [SDXL_MODEL_LOADER]: {
+        type: 'sdxl_model_loader',
+        id: SDXL_MODEL_LOADER,
+        model,
+      },
+      [LATENTS_TO_IMAGE]: {
+        type: 'l2i',
+        id: LATENTS_TO_IMAGE,
+        is_intermediate: true,
+        fp32: vaePrecision === 'fp32' ? true : false,
+      },
+      [COLOR_CORRECT]: {
+        type: 'color_correct',
+        id: COLOR_CORRECT,
+        is_intermediate: true,
+      },
+      [INPAINT_FINAL_IMAGE]: {
+        type: 'img_paste',
+        id: INPAINT_FINAL_IMAGE,
+        is_intermediate: true,
+      },
+      [RANGE_OF_SIZE]: {
+        type: 'range_of_size',
+        id: RANGE_OF_SIZE,
+        is_intermediate: true,
+        // seed - must be connected manually
+        // start: 0,
+        size: iterations,
+        step: 1,
+      },
+      [ITERATE]: {
+        type: 'iterate',
+        id: ITERATE,
+        is_intermediate: true,
+      },
+    },
+    edges: [
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'unet',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'unet',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'clip',
+        },
+        destination: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'clip',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'clip2',
+        },
+        destination: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'clip2',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'clip',
+        },
+        destination: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'clip',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'clip2',
+        },
+        destination: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'clip2',
+        },
+      },
+      {
+        source: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'negative_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'positive_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: NOISE,
+          field: 'noise',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'noise',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_INFILL,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_IMAGE,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_IMAGE,
+          field: 'latents',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'latents',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_FROM_ALPHA,
+          field: 'mask',
+        },
+        destination: {
+          node_id: MASK_COMBINE,
+          field: 'mask1',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_COMBINE,
+          field: 'image',
+        },
+        destination: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'mask',
+        },
+      },
+      {
+        source: {
+          node_id: RANGE_OF_SIZE,
+          field: 'collection',
+        },
+        destination: {
+          node_id: ITERATE,
+          field: 'collection',
+        },
+      },
+      {
+        source: {
+          node_id: ITERATE,
+          field: 'item',
+        },
+        destination: {
+          node_id: NOISE,
+          field: 'seed',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT,
+          field: 'latents',
+        },
+        destination: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'latents',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_INFILL,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'reference',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'mask',
+        },
+      },
+      {
+        source: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_INFILL,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_FINAL_IMAGE,
+          field: 'base_image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_FINAL_IMAGE,
+          field: 'mask',
+        },
+      },
+      {
+        source: {
+          node_id: COLOR_CORRECT,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_FINAL_IMAGE,
+          field: 'image',
+        },
+      },
+    ],
+  };
+
+  // Add Refiner if enabled
+  if (shouldUseSDXLRefiner) {
+    addSDXLRefinerToGraph(state, graph, INPAINT);
+  }
+
+  // Add VAE
+  addVAEToGraph(state, graph, SDXL_MODEL_LOADER);
+
+  // handle seed
+  if (shouldRandomizeSeed) {
+    // Random int node to generate the starting seed
+    const randomIntNode: RandomIntInvocation = {
+      id: RANDOM_INT,
+      type: 'rand_int',
+    };
+
+    graph.nodes[RANDOM_INT] = randomIntNode;
+
+    // Connect random int to the start of the range of size so the range starts on the random first seed
+    graph.edges.push({
+      source: { node_id: RANDOM_INT, field: 'a' },
+      destination: { node_id: RANGE_OF_SIZE, field: 'start' },
+    });
+  } else {
+    // User specified seed, so set the start of the range of size to the seed
+    (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed;
+  }
+
+  // add LoRA support
+  addSDXLLoRAsToGraph(state, graph, INPAINT, SDXL_MODEL_LOADER);
+
+  // add controlnet, mutating `graph`
+  addControlNetToLinearGraph(state, graph, INPAINT);
+
+  // NSFW & watermark - must be last thing added to graph
+  if (state.system.shouldUseNSFWChecker) {
+    // must add before watermarker!
+    addNSFWCheckerToGraph(state, graph, INPAINT);
+  }
+
+  if (state.system.shouldUseWatermarker) {
+    // must add after nsfw checker!
+    addWatermarkerToGraph(state, graph, INPAINT);
+  }
+
+  return graph;
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
new file mode 100644
index 0000000000..ed0fb74165
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
@@ -0,0 +1,304 @@
+import { logger } from 'app/logging/logger';
+import { RootState } from 'app/store/store';
+import { NonNullableGraph } from 'features/nodes/types/types';
+import { initialGenerationState } from 'features/parameters/store/generationSlice';
+import {
+  DenoiseLatentsInvocation,
+  ONNXTextToLatentsInvocation,
+} from 'services/api/types';
+import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
+import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
+import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
+import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
+import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
+import { addVAEToGraph } from './addVAEToGraph';
+import { addWatermarkerToGraph } from './addWatermarkerToGraph';
+import {
+  DENOISE_LATENTS,
+  LATENTS_TO_IMAGE,
+  METADATA_ACCUMULATOR,
+  NEGATIVE_CONDITIONING,
+  NOISE,
+  ONNX_MODEL_LOADER,
+  POSITIVE_CONDITIONING,
+  SDXL_MODEL_LOADER,
+  TEXT_TO_IMAGE_GRAPH,
+} from './constants';
+
+/**
+ * Builds the Canvas tab's Text to Image graph.
+ */
+export const buildCanvasSDXLTextToImageGraph = (
+  state: RootState
+): NonNullableGraph => {
+  const log = logger('nodes');
+  const {
+    positivePrompt,
+    negativePrompt,
+    model,
+    cfgScale: cfg_scale,
+    scheduler,
+    steps,
+    clipSkip,
+    shouldUseCpuNoise,
+    shouldUseNoiseSettings,
+  } = state.generation;
+
+  // The bounding box determines width and height, not the width and height params
+  const { width, height } = state.canvas.boundingBoxDimensions;
+
+  const { shouldAutoSave } = state.canvas;
+
+  const {
+    positiveStylePrompt,
+    negativeStylePrompt,
+    shouldConcatSDXLStylePrompt,
+    shouldUseSDXLRefiner,
+    refinerStart,
+  } = state.sdxl;
+
+  if (!model) {
+    log.error('No model found in state');
+    throw new Error('No model found in state');
+  }
+
+  const use_cpu = shouldUseNoiseSettings
+    ? shouldUseCpuNoise
+    : initialGenerationState.shouldUseCpuNoise;
+  const isUsingOnnxModel = model.model_type === 'onnx';
+  const modelLoaderNodeId = isUsingOnnxModel
+    ? ONNX_MODEL_LOADER
+    : SDXL_MODEL_LOADER;
+  const modelLoaderNodeType = isUsingOnnxModel
+    ? 'onnx_model_loader'
+    : 'sdxl_model_loader';
+  const t2lNode: DenoiseLatentsInvocation | ONNXTextToLatentsInvocation =
+    isUsingOnnxModel
+      ? {
+          type: 't2l_onnx',
+          id: DENOISE_LATENTS,
+          is_intermediate: true,
+          cfg_scale,
+          scheduler,
+          steps,
+        }
+      : {
+          type: 'denoise_latents',
+          id: DENOISE_LATENTS,
+          is_intermediate: true,
+          cfg_scale,
+          scheduler,
+          steps,
+          denoising_start: 0,
+          denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
+        };
+  /**
+   * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
+   * full graph here as a template. Then use the parameters from app state and set friendlier node
+   * ids.
+   *
+   * The only thing we need extra logic for is handling randomized seed, control net, and for img2img,
+   * the `fit` param. These are added to the graph at the end.
+   */
+
+  // copy-pasted graph from node editor, filled in with state values & friendly node ids
+  // TODO: Actually create the graph correctly for ONNX
+  const graph: NonNullableGraph = {
+    id: TEXT_TO_IMAGE_GRAPH,
+    nodes: {
+      [POSITIVE_CONDITIONING]: {
+        type: isUsingOnnxModel ? 'prompt_onnx' : 'sdxl_compel_prompt',
+        id: POSITIVE_CONDITIONING,
+        is_intermediate: true,
+        prompt: positivePrompt,
+        style: shouldConcatSDXLStylePrompt
+          ? `${positivePrompt} ${positiveStylePrompt}`
+          : positiveStylePrompt,
+      },
+      [NEGATIVE_CONDITIONING]: {
+        type: isUsingOnnxModel ? 'prompt_onnx' : 'sdxl_compel_prompt',
+        id: NEGATIVE_CONDITIONING,
+        is_intermediate: true,
+        prompt: negativePrompt,
+        style: shouldConcatSDXLStylePrompt
+          ? `${negativePrompt} ${negativeStylePrompt}`
+          : negativeStylePrompt,
+      },
+      [NOISE]: {
+        type: 'noise',
+        id: NOISE,
+        is_intermediate: true,
+        width,
+        height,
+        use_cpu,
+      },
+      [t2lNode.id]: t2lNode,
+      [modelLoaderNodeId]: {
+        type: modelLoaderNodeType,
+        id: modelLoaderNodeId,
+        is_intermediate: true,
+        model,
+      },
+
+      [LATENTS_TO_IMAGE]: {
+        type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i',
+        id: LATENTS_TO_IMAGE,
+        is_intermediate: !shouldAutoSave,
+      },
+    },
+    edges: [
+      {
+        source: {
+          node_id: modelLoaderNodeId,
+          field: 'unet',
+        },
+        destination: {
+          node_id: DENOISE_LATENTS,
+          field: 'unet',
+        },
+      },
+      {
+        source: {
+          node_id: modelLoaderNodeId,
+          field: 'clip',
+        },
+        destination: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'clip',
+        },
+      },
+      {
+        source: {
+          node_id: modelLoaderNodeId,
+          field: 'clip2',
+        },
+        destination: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'clip2',
+        },
+      },
+      {
+        source: {
+          node_id: modelLoaderNodeId,
+          field: 'clip',
+        },
+        destination: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'clip',
+        },
+      },
+      {
+        source: {
+          node_id: modelLoaderNodeId,
+          field: 'clip2',
+        },
+        destination: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'clip2',
+        },
+      },
+      {
+        source: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: DENOISE_LATENTS,
+          field: 'negative_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: DENOISE_LATENTS,
+          field: 'positive_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: DENOISE_LATENTS,
+          field: 'latents',
+        },
+        destination: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'latents',
+        },
+      },
+      {
+        source: {
+          node_id: NOISE,
+          field: 'noise',
+        },
+        destination: {
+          node_id: DENOISE_LATENTS,
+          field: 'noise',
+        },
+      },
+    ],
+  };
+
+  // add metadata accumulator, which is only mostly populated - some fields are added later
+  graph.nodes[METADATA_ACCUMULATOR] = {
+    id: METADATA_ACCUMULATOR,
+    type: 'metadata_accumulator',
+    generation_mode: 'txt2img',
+    cfg_scale,
+    height,
+    width,
+    positive_prompt: '', // set in addDynamicPromptsToGraph
+    negative_prompt: negativePrompt,
+    model,
+    seed: 0, // set in addDynamicPromptsToGraph
+    steps,
+    rand_device: use_cpu ? 'cpu' : 'cuda',
+    scheduler,
+    vae: undefined, // option; set in addVAEToGraph
+    controlnets: [], // populated in addControlNetToLinearGraph
+    loras: [], // populated in addLoRAsToGraph
+    clip_skip: clipSkip,
+  };
+
+  graph.edges.push({
+    source: {
+      node_id: METADATA_ACCUMULATOR,
+      field: 'metadata',
+    },
+    destination: {
+      node_id: LATENTS_TO_IMAGE,
+      field: 'metadata',
+    },
+  });
+
+  // Add Refiner if enabled
+  if (shouldUseSDXLRefiner) {
+    addSDXLRefinerToGraph(state, graph, DENOISE_LATENTS);
+  }
+
+  // add LoRA support
+  addSDXLLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId);
+
+  // optionally add custom VAE
+  addVAEToGraph(state, graph, modelLoaderNodeId);
+
+  // add dynamic prompts - also sets up core iteration and seed
+  addDynamicPromptsToGraph(state, graph);
+
+  // add controlnet, mutating `graph`
+  addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
+
+  // NSFW & watermark - must be last thing added to graph
+  if (state.system.shouldUseNSFWChecker) {
+    // must add before watermarker!
+    addNSFWCheckerToGraph(state, graph);
+  }
+
+  if (state.system.shouldUseWatermarker) {
+    // must add after nsfw checker!
+    addWatermarkerToGraph(state, graph);
+  }
+
+  return graph;
+};
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
index 0a18d4f556..05b5b6468a 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/MainModel/ParamMainModelSelect.tsx
@@ -15,11 +15,11 @@ import { modelIdToMainModelParam } from 'features/parameters/util/modelIdToMainM
 import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
 import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
 import { forEach } from 'lodash-es';
+import { NON_REFINER_BASE_MODELS } from 'services/api/constants';
 import {
   useGetMainModelsQuery,
   useGetOnnxModelsQuery,
 } from 'services/api/endpoints/models';
-import { NON_REFINER_BASE_MODELS } from 'services/api/constants';
 import { useFeatureStatus } from '../../../../system/hooks/useFeatureStatus';
 
 const selector = createSelector(
@@ -52,10 +52,7 @@ const ParamMainModelSelect = () => {
     const data: SelectItem[] = [];
 
     forEach(mainModels.entities, (model, id) => {
-      if (
-        !model ||
-        (activeTabName === 'unifiedCanvas' && model.base_model === 'sdxl')
-      ) {
+      if (!model) {
         return;
       }
 
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx
new file mode 100644
index 0000000000..270e839894
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx
@@ -0,0 +1,29 @@
+import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/ParamDynamicPromptsCollapse';
+import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
+import ParamAdvancedCollapse from 'features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse';
+import ParamInfillAndScalingCollapse from 'features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillAndScalingCollapse';
+import ParamMaskAdjustmentCollapse from 'features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskAdjustmentCollapse';
+import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse';
+import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse';
+import ProcessButtons from 'features/parameters/components/ProcessButtons/ProcessButtons';
+import UnifiedCanvasCoreParameters from 'features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasCoreParameters';
+import ParamSDXLPromptArea from './ParamSDXLPromptArea';
+import ParamSDXLRefinerCollapse from './ParamSDXLRefinerCollapse';
+
+export default function SDXLUnifiedCanvasTabParameters() {
+  return (
+    <>
+      <ParamSDXLPromptArea />
+      <ProcessButtons />
+      <UnifiedCanvasCoreParameters />
+      <ParamSDXLRefinerCollapse />
+      <ParamControlNetCollapse />
+      <ParamLoraCollapse />
+      <ParamDynamicPromptsCollapse />
+      <ParamNoiseCollapse />
+      <ParamMaskAdjustmentCollapse />
+      <ParamInfillAndScalingCollapse />
+      <ParamAdvancedCollapse />
+    </>
+  );
+}
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasTab.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasTab.tsx
index 4c36c45e13..0a5b872e4b 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasTab.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasTab.tsx
@@ -1,14 +1,22 @@
 import { Flex } from '@chakra-ui/react';
+import { RootState } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import SDXLUnifiedCanvasTabParameters from 'features/sdxl/components/SDXLUnifiedCanvasTabParameters';
 import { memo } from 'react';
 import ParametersPinnedWrapper from '../../ParametersPinnedWrapper';
 import UnifiedCanvasContent from './UnifiedCanvasContent';
 import UnifiedCanvasParameters from './UnifiedCanvasParameters';
 
 const UnifiedCanvasTab = () => {
+  const model = useAppSelector((state: RootState) => state.generation.model);
   return (
     <Flex sx={{ gap: 4, w: 'full', h: 'full' }}>
       <ParametersPinnedWrapper>
-        <UnifiedCanvasParameters />
+        {model && model.base_model === 'sdxl' ? (
+          <SDXLUnifiedCanvasTabParameters />
+        ) : (
+          <UnifiedCanvasParameters />
+        )}
       </ParametersPinnedWrapper>
       <UnifiedCanvasContent />
     </Flex>

From 8acd7eeca5a29120715503d3ccdd7a8c5b00e9e8 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 12 Aug 2023 08:18:30 +1200
Subject: [PATCH 170/287] feat: Disable clip skip for SDXL Canvas

---
 .../features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx | 2 --
 1 file changed, 2 deletions(-)

diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx
index 270e839894..6faafc6891 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx
@@ -1,6 +1,5 @@
 import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/ParamDynamicPromptsCollapse';
 import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
-import ParamAdvancedCollapse from 'features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse';
 import ParamInfillAndScalingCollapse from 'features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillAndScalingCollapse';
 import ParamMaskAdjustmentCollapse from 'features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskAdjustmentCollapse';
 import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse';
@@ -23,7 +22,6 @@ export default function SDXLUnifiedCanvasTabParameters() {
       <ParamNoiseCollapse />
       <ParamMaskAdjustmentCollapse />
       <ParamInfillAndScalingCollapse />
-      <ParamAdvancedCollapse />
     </>
   );
 }

From ce3675fc1499af9d88d68d37d011a981b9a14942 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Sat, 12 Aug 2023 03:19:49 +0300
Subject: [PATCH 171/287] Apply denoising_start/end according on timestep value

---
 invokeai/app/invocations/latent.py | 28 +++++++++++++++++++---------
 1 file changed, 19 insertions(+), 9 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 15e7c15802..fc934618cf 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -316,26 +316,36 @@ class DenoiseLatentsInvocation(BaseInvocation):
                 # MultiControlNetModel has been refactored out, just need list[ControlNetData]
         return control_data
 
+    # original idea by https://github.com/AmericanPresidentJimmyCarter
     def init_scheduler(self, scheduler, device, steps, denoising_start, denoising_end):
         if scheduler.config.get("cpu_only", False):
             device = torch.device("cpu")
-
-        # apply denoising_start
+        
         num_inference_steps = steps
         scheduler.set_timesteps(num_inference_steps, device=device)
+        timesteps = scheduler.timesteps
 
-        t_start = int(round(denoising_start * num_inference_steps))
-        timesteps = scheduler.timesteps[t_start * scheduler.order :]
-        num_inference_steps = num_inference_steps - t_start
+        # apply denoising_start
+        t_start_val = int(round(scheduler.config.num_train_timesteps * (1 - denoising_start)))
+        t_start_idx = len(list(filter(lambda ts: ts >= t_start_val, timesteps)))
+        timesteps = timesteps[t_start_idx:]
+        if scheduler.order == 2:
+            # TODO: research for second order schedulers timesteps
+            timesteps = timesteps[1:]
 
+        # save start timestep to apply noise
         init_timestep = timesteps[:1]
 
         # apply denoising_end
-        num_warmup_steps = max(len(timesteps) - num_inference_steps * scheduler.order, 0)
+        t_end_val = int(round(scheduler.config.num_train_timesteps * (1 - denoising_end)))
+        t_end_idx = len(list(filter(lambda ts: ts >= t_end_val, timesteps)))
+        timesteps = timesteps[:t_end_idx]
 
-        skipped_final_steps = int(round((1 - denoising_end) * steps))
-        num_inference_steps = num_inference_steps - skipped_final_steps
-        timesteps = timesteps[: num_warmup_steps + scheduler.order * num_inference_steps]
+        # calculate step count based on scheduler order
+        num_inference_steps = len(timesteps)
+        if scheduler.order == 2:
+            num_inference_steps += (num_inference_steps % 2)
+            num_inference_steps = num_inference_steps // 2
 
         return num_inference_steps, timesteps, init_timestep
 

From 6034fa12debd5dd95a2088a4d75e999e0431654d Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 12 Aug 2023 16:20:58 +1200
Subject: [PATCH 172/287] feat: Add Mask Blur node

---
 invokeai/app/invocations/image.py | 45 +++++++++++++++++++++++++++++--
 1 file changed, 43 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index cc05b529b5..846812435d 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -706,7 +706,7 @@ class MaskCombineInvocation(BaseInvocation, PILInvocationConfig):
             "ui": {"title": "Mask Combine", "tags": ["mask", "combine"]},
         }
 
-    def invoke(self, context: InvocationContext) -> ImageOutput:
+    def invoke(self, context: InvocationContext) -> MaskOutput:
         mask1 = context.services.images.get_pil_image(self.mask1.image_name).convert("L")
         mask2 = context.services.images.get_pil_image(self.mask2.image_name).convert("L")
 
@@ -721,7 +721,48 @@ class MaskCombineInvocation(BaseInvocation, PILInvocationConfig):
             is_intermediate=self.is_intermediate,
         )
 
-        return ImageOutput(
+        return MaskOutput(
+            image=ImageField(image_name=image_dto.image_name),
+            width=image_dto.width,
+            height=image_dto.height,
+        )
+
+
+class MaskBlurInvocation(BaseInvocation, PILInvocationConfig):
+    """Blurs a mask"""
+
+    # fmt: off
+    type: Literal["mask_blur"] = "mask_blur"
+
+    # Inputs
+    mask: Optional[ImageField]  = Field(default=None, description="The mask image to blur")
+    radius:     float = Field(default=8.0, ge=0, description="The blur radius")
+    blur_type: Literal["gaussian", "box"] = Field(default="gaussian", description="The type of blur")
+    # fmt: on
+
+    class Config(InvocationConfig):
+        schema_extra = {
+            "ui": {"title": "Mask Blur", "tags": ["mask", "blur"]},
+        }
+
+    def invoke(self, context: InvocationContext) -> MaskOutput:
+        mask = context.services.images.get_pil_image(self.mask.image_name)
+
+        blur = (
+            ImageFilter.GaussianBlur(self.radius) if self.blur_type == "gaussian" else ImageFilter.BoxBlur(self.radius)
+        )
+        blur_mask = mask.filter(blur)
+
+        image_dto = context.services.images.create(
+            image=blur_mask,
+            image_origin=ResourceOrigin.INTERNAL,
+            image_category=ImageCategory.GENERAL,
+            node_id=self.id,
+            session_id=context.graph_execution_state_id,
+            is_intermediate=self.is_intermediate,
+        )
+
+        return MaskOutput(
             image=ImageField(image_name=image_dto.image_name),
             width=image_dto.width,
             height=image_dto.height,

From 7254ffc3e7e06163a133aa38ca8b6fdbd4e70e2d Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 12 Aug 2023 16:30:20 +1200
Subject: [PATCH 173/287] chore: Split Inpaint and Outpaint Graphs

---
 .../util/graphBuilders/buildCanvasGraph.ts    |  21 +-
 .../graphBuilders/buildCanvasInpaintGraph.ts  | 108 +---
 .../graphBuilders/buildCanvasOutpaintGraph.ts | 461 +++++++++++++++++
 .../buildCanvasSDXLInpaintGraph.ts            | 212 +++-----
 .../buildCanvasSDXLOutpaintGraph.ts           | 480 ++++++++++++++++++
 .../frontend/web/src/services/api/schema.d.ts |  71 ++-
 6 files changed, 1084 insertions(+), 269 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
 create mode 100644 invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts
index dd0a5e6619..d268a3990d 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasGraph.ts
@@ -3,8 +3,10 @@ import { NonNullableGraph } from 'features/nodes/types/types';
 import { ImageDTO } from 'services/api/types';
 import { buildCanvasImageToImageGraph } from './buildCanvasImageToImageGraph';
 import { buildCanvasInpaintGraph } from './buildCanvasInpaintGraph';
+import { buildCanvasOutpaintGraph } from './buildCanvasOutpaintGraph';
 import { buildCanvasSDXLImageToImageGraph } from './buildCanvasSDXLImageToImageGraph';
 import { buildCanvasSDXLInpaintGraph } from './buildCanvasSDXLInpaintGraph';
+import { buildCanvasSDXLOutpaintGraph } from './buildCanvasSDXLOutpaintGraph';
 import { buildCanvasSDXLTextToImageGraph } from './buildCanvasSDXLTextToImageGraph';
 import { buildCanvasTextToImageGraph } from './buildCanvasTextToImageGraph';
 
@@ -37,11 +39,10 @@ export const buildCanvasGraph = (
     } else {
       graph = buildCanvasImageToImageGraph(state, canvasInitImage);
     }
-  } else {
+  } else if (generationMode === 'inpaint') {
     if (!canvasInitImage || !canvasMaskImage) {
       throw new Error('Missing canvas init and mask images');
     }
-
     if (
       state.generation.model &&
       state.generation.model.base_model === 'sdxl'
@@ -54,6 +55,22 @@ export const buildCanvasGraph = (
     } else {
       graph = buildCanvasInpaintGraph(state, canvasInitImage, canvasMaskImage);
     }
+  } else {
+    if (!canvasInitImage) {
+      throw new Error('Missing canvas init image');
+    }
+    if (
+      state.generation.model &&
+      state.generation.model.base_model === 'sdxl'
+    ) {
+      graph = buildCanvasSDXLOutpaintGraph(
+        state,
+        canvasInitImage,
+        canvasMaskImage
+      );
+    } else {
+      graph = buildCanvasOutpaintGraph(state, canvasInitImage, canvasMaskImage);
+    }
   }
 
   return graph;
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
index 1e2b9d76d8..5afcd80d85 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
@@ -3,8 +3,6 @@ import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
 import {
   ImageDTO,
-  InfillPatchmatchInvocation,
-  InfillTileInvocation,
   RandomIntInvocation,
   RangeOfSizeInvocation,
 } from 'services/api/types';
@@ -20,13 +18,10 @@ import {
   INPAINT_FINAL_IMAGE,
   INPAINT_GRAPH,
   INPAINT_IMAGE,
-  INPAINT_INFILL,
   ITERATE,
   LATENTS_TO_IMAGE,
   MAIN_MODEL_LOADER,
   MASK_BLUR,
-  MASK_COMBINE,
-  MASK_FROM_ALPHA,
   NEGATIVE_CONDITIONING,
   NOISE,
   POSITIVE_CONDITIONING,
@@ -60,8 +55,6 @@ export const buildCanvasInpaintGraph = (
     shouldUseCpuNoise,
     maskBlur,
     maskBlurMethod,
-    tileSize,
-    infillMethod,
     clipSkip,
   } = state.generation;
 
@@ -84,23 +77,6 @@ export const buildCanvasInpaintGraph = (
     ? shouldUseCpuNoise
     : shouldUseCpuNoise;
 
-  let infillNode: InfillTileInvocation | InfillPatchmatchInvocation = {
-    type: 'infill_tile',
-    id: INPAINT_INFILL,
-    is_intermediate: true,
-    image: canvasInitImage,
-    tile_size: tileSize,
-  };
-
-  if (infillMethod === 'patchmatch') {
-    infillNode = {
-      type: 'infill_patchmatch',
-      id: INPAINT_INFILL,
-      is_intermediate: true,
-      image: canvasInitImage,
-    };
-  }
-
   const graph: NonNullableGraph = {
     id: INPAINT_GRAPH,
     nodes: {
@@ -114,31 +90,20 @@ export const buildCanvasInpaintGraph = (
         denoising_start: 1 - strength,
         denoising_end: 1,
       },
-      [infillNode.id]: infillNode,
-      [MASK_FROM_ALPHA]: {
-        type: 'tomask',
-        id: MASK_FROM_ALPHA,
-        is_intermediate: true,
-        image: canvasInitImage,
-      },
-      [MASK_COMBINE]: {
-        type: 'mask_combine',
-        id: MASK_COMBINE,
-        is_intermediate: true,
-        mask2: canvasMaskImage,
-      },
       [MASK_BLUR]: {
-        type: 'img_blur',
+        type: 'mask_blur',
         id: MASK_BLUR,
         is_intermediate: true,
         radius: maskBlur,
         blur_type: maskBlurMethod,
+        mask: canvasMaskImage,
       },
       [INPAINT_IMAGE]: {
         type: 'i2l',
         id: INPAINT_IMAGE,
         is_intermediate: true,
         fp32: vaePrecision === 'fp32' ? true : false,
+        image: canvasInitImage,
       },
       [NOISE]: {
         type: 'noise',
@@ -182,11 +147,14 @@ export const buildCanvasInpaintGraph = (
         type: 'color_correct',
         id: COLOR_CORRECT,
         is_intermediate: true,
+        reference: canvasInitImage,
+        mask: canvasMaskImage,
       },
       [INPAINT_FINAL_IMAGE]: {
         type: 'img_paste',
         id: INPAINT_FINAL_IMAGE,
         is_intermediate: true,
+        base_image: canvasInitImage,
       },
       [RANGE_OF_SIZE]: {
         type: 'range_of_size',
@@ -274,16 +242,6 @@ export const buildCanvasInpaintGraph = (
           field: 'noise',
         },
       },
-      {
-        source: {
-          node_id: INPAINT_INFILL,
-          field: 'image',
-        },
-        destination: {
-          node_id: INPAINT_IMAGE,
-          field: 'image',
-        },
-      },
       {
         source: {
           node_id: INPAINT_IMAGE,
@@ -296,29 +254,9 @@ export const buildCanvasInpaintGraph = (
       },
       {
         source: {
-          node_id: MASK_FROM_ALPHA,
+          node_id: MASK_BLUR,
           field: 'mask',
         },
-        destination: {
-          node_id: MASK_COMBINE,
-          field: 'mask1',
-        },
-      },
-      {
-        source: {
-          node_id: MASK_COMBINE,
-          field: 'image',
-        },
-        destination: {
-          node_id: MASK_BLUR,
-          field: 'image',
-        },
-      },
-      {
-        source: {
-          node_id: MASK_BLUR,
-          field: 'image',
-        },
         destination: {
           node_id: INPAINT,
           field: 'mask',
@@ -354,26 +292,6 @@ export const buildCanvasInpaintGraph = (
           field: 'latents',
         },
       },
-      {
-        source: {
-          node_id: INPAINT_INFILL,
-          field: 'image',
-        },
-        destination: {
-          node_id: COLOR_CORRECT,
-          field: 'reference',
-        },
-      },
-      {
-        source: {
-          node_id: MASK_BLUR,
-          field: 'image',
-        },
-        destination: {
-          node_id: COLOR_CORRECT,
-          field: 'mask',
-        },
-      },
       {
         source: {
           node_id: LATENTS_TO_IMAGE,
@@ -384,20 +302,10 @@ export const buildCanvasInpaintGraph = (
           field: 'image',
         },
       },
-      {
-        source: {
-          node_id: INPAINT_INFILL,
-          field: 'image',
-        },
-        destination: {
-          node_id: INPAINT_FINAL_IMAGE,
-          field: 'base_image',
-        },
-      },
       {
         source: {
           node_id: MASK_BLUR,
-          field: 'image',
+          field: 'mask',
         },
         destination: {
           node_id: INPAINT_FINAL_IMAGE,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
new file mode 100644
index 0000000000..a11473314d
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
@@ -0,0 +1,461 @@
+import { logger } from 'app/logging/logger';
+import { RootState } from 'app/store/store';
+import { NonNullableGraph } from 'features/nodes/types/types';
+import {
+  ImageDTO,
+  InfillPatchmatchInvocation,
+  InfillTileInvocation,
+  RandomIntInvocation,
+  RangeOfSizeInvocation,
+} from 'services/api/types';
+import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
+import { addLoRAsToGraph } from './addLoRAsToGraph';
+import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
+import { addVAEToGraph } from './addVAEToGraph';
+import { addWatermarkerToGraph } from './addWatermarkerToGraph';
+import {
+  CLIP_SKIP,
+  COLOR_CORRECT,
+  INPAINT,
+  INPAINT_FINAL_IMAGE,
+  INPAINT_GRAPH,
+  INPAINT_IMAGE,
+  INPAINT_INFILL,
+  ITERATE,
+  LATENTS_TO_IMAGE,
+  MAIN_MODEL_LOADER,
+  MASK_BLUR,
+  MASK_COMBINE,
+  MASK_FROM_ALPHA,
+  NEGATIVE_CONDITIONING,
+  NOISE,
+  POSITIVE_CONDITIONING,
+  RANDOM_INT,
+  RANGE_OF_SIZE,
+} from './constants';
+
+/**
+ * Builds the Canvas tab's Outpaint graph.
+ */
+export const buildCanvasOutpaintGraph = (
+  state: RootState,
+  canvasInitImage: ImageDTO,
+  canvasMaskImage?: ImageDTO
+): NonNullableGraph => {
+  const log = logger('nodes');
+  const {
+    positivePrompt,
+    negativePrompt,
+    model,
+    cfgScale: cfg_scale,
+    scheduler,
+    steps,
+    img2imgStrength: strength,
+    shouldFitToWidthHeight,
+    iterations,
+    seed,
+    shouldRandomizeSeed,
+    vaePrecision,
+    shouldUseNoiseSettings,
+    shouldUseCpuNoise,
+    maskBlur,
+    maskBlurMethod,
+    tileSize,
+    infillMethod,
+    clipSkip,
+  } = state.generation;
+
+  if (!model) {
+    log.error('No model found in state');
+    throw new Error('No model found in state');
+  }
+
+  // The bounding box determines width and height, not the width and height params
+  const { width, height } = state.canvas.boundingBoxDimensions;
+
+  // We may need to set the inpaint width and height to scale the image
+  const {
+    scaledBoundingBoxDimensions,
+    boundingBoxScaleMethod,
+    shouldAutoSave,
+  } = state.canvas;
+
+  const use_cpu = shouldUseNoiseSettings
+    ? shouldUseCpuNoise
+    : shouldUseCpuNoise;
+
+  let infillNode: InfillTileInvocation | InfillPatchmatchInvocation = {
+    type: 'infill_tile',
+    id: INPAINT_INFILL,
+    is_intermediate: true,
+    image: canvasInitImage,
+    tile_size: tileSize,
+  };
+
+  if (infillMethod === 'patchmatch') {
+    infillNode = {
+      type: 'infill_patchmatch',
+      id: INPAINT_INFILL,
+      is_intermediate: true,
+      image: canvasInitImage,
+    };
+  }
+
+  const graph: NonNullableGraph = {
+    id: INPAINT_GRAPH,
+    nodes: {
+      [INPAINT]: {
+        type: 'denoise_latents',
+        id: INPAINT,
+        is_intermediate: true,
+        steps: steps,
+        cfg_scale: cfg_scale,
+        scheduler: scheduler,
+        denoising_start: 1 - strength,
+        denoising_end: 1,
+      },
+      [infillNode.id]: infillNode,
+      [MASK_FROM_ALPHA]: {
+        type: 'tomask',
+        id: MASK_FROM_ALPHA,
+        is_intermediate: true,
+        image: canvasInitImage,
+      },
+      [MASK_COMBINE]: {
+        type: 'mask_combine',
+        id: MASK_COMBINE,
+        is_intermediate: true,
+        mask2: canvasMaskImage,
+      },
+      [MASK_BLUR]: {
+        type: 'mask_blur',
+        id: MASK_BLUR,
+        is_intermediate: true,
+        radius: maskBlur,
+        blur_type: maskBlurMethod,
+      },
+      [INPAINT_IMAGE]: {
+        type: 'i2l',
+        id: INPAINT_IMAGE,
+        is_intermediate: true,
+        fp32: vaePrecision === 'fp32' ? true : false,
+      },
+      [NOISE]: {
+        type: 'noise',
+        id: NOISE,
+        width,
+        height,
+        use_cpu,
+        is_intermediate: true,
+      },
+      [POSITIVE_CONDITIONING]: {
+        type: 'compel',
+        id: POSITIVE_CONDITIONING,
+        is_intermediate: true,
+        prompt: positivePrompt,
+      },
+      [NEGATIVE_CONDITIONING]: {
+        type: 'compel',
+        id: NEGATIVE_CONDITIONING,
+        is_intermediate: true,
+        prompt: negativePrompt,
+      },
+      [MAIN_MODEL_LOADER]: {
+        type: 'main_model_loader',
+        id: MAIN_MODEL_LOADER,
+        is_intermediate: true,
+        model,
+      },
+      [LATENTS_TO_IMAGE]: {
+        type: 'l2i',
+        id: LATENTS_TO_IMAGE,
+        is_intermediate: true,
+        fp32: vaePrecision === 'fp32' ? true : false,
+      },
+      [CLIP_SKIP]: {
+        type: 'clip_skip',
+        id: CLIP_SKIP,
+        is_intermediate: true,
+        skipped_layers: clipSkip,
+      },
+      [COLOR_CORRECT]: {
+        type: 'color_correct',
+        id: COLOR_CORRECT,
+        is_intermediate: true,
+      },
+      [INPAINT_FINAL_IMAGE]: {
+        type: 'img_paste',
+        id: INPAINT_FINAL_IMAGE,
+        is_intermediate: true,
+      },
+      [RANGE_OF_SIZE]: {
+        type: 'range_of_size',
+        id: RANGE_OF_SIZE,
+        is_intermediate: true,
+        // seed - must be connected manually
+        // start: 0,
+        size: iterations,
+        step: 1,
+      },
+      [ITERATE]: {
+        type: 'iterate',
+        id: ITERATE,
+        is_intermediate: true,
+      },
+    },
+    edges: [
+      {
+        source: {
+          node_id: MAIN_MODEL_LOADER,
+          field: 'unet',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'unet',
+        },
+      },
+      {
+        source: {
+          node_id: MAIN_MODEL_LOADER,
+          field: 'clip',
+        },
+        destination: {
+          node_id: CLIP_SKIP,
+          field: 'clip',
+        },
+      },
+      {
+        source: {
+          node_id: CLIP_SKIP,
+          field: 'clip',
+        },
+        destination: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'clip',
+        },
+      },
+      {
+        source: {
+          node_id: CLIP_SKIP,
+          field: 'clip',
+        },
+        destination: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'clip',
+        },
+      },
+      {
+        source: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'negative_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'positive_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: NOISE,
+          field: 'noise',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'noise',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_INFILL,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_IMAGE,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_IMAGE,
+          field: 'latents',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'latents',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_FROM_ALPHA,
+          field: 'mask',
+        },
+        destination: {
+          node_id: MASK_COMBINE,
+          field: 'mask1',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_COMBINE,
+          field: 'mask',
+        },
+        destination: {
+          node_id: MASK_BLUR,
+          field: 'mask',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'mask',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'mask',
+        },
+      },
+      {
+        source: {
+          node_id: RANGE_OF_SIZE,
+          field: 'collection',
+        },
+        destination: {
+          node_id: ITERATE,
+          field: 'collection',
+        },
+      },
+      {
+        source: {
+          node_id: ITERATE,
+          field: 'item',
+        },
+        destination: {
+          node_id: NOISE,
+          field: 'seed',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT,
+          field: 'latents',
+        },
+        destination: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'latents',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_INFILL,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'reference',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'mask',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'mask',
+        },
+      },
+      {
+        source: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_INFILL,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_FINAL_IMAGE,
+          field: 'base_image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'mask',
+        },
+        destination: {
+          node_id: INPAINT_FINAL_IMAGE,
+          field: 'mask',
+        },
+      },
+      {
+        source: {
+          node_id: COLOR_CORRECT,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_FINAL_IMAGE,
+          field: 'image',
+        },
+      },
+    ],
+  };
+
+  // Add VAE
+  addVAEToGraph(state, graph, MAIN_MODEL_LOADER);
+
+  // handle seed
+  if (shouldRandomizeSeed) {
+    // Random int node to generate the starting seed
+    const randomIntNode: RandomIntInvocation = {
+      id: RANDOM_INT,
+      type: 'rand_int',
+    };
+
+    graph.nodes[RANDOM_INT] = randomIntNode;
+
+    // Connect random int to the start of the range of size so the range starts on the random first seed
+    graph.edges.push({
+      source: { node_id: RANDOM_INT, field: 'a' },
+      destination: { node_id: RANGE_OF_SIZE, field: 'start' },
+    });
+  } else {
+    // User specified seed, so set the start of the range of size to the seed
+    (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed;
+  }
+
+  // add LoRA support
+  addLoRAsToGraph(state, graph, INPAINT, MAIN_MODEL_LOADER);
+
+  // add controlnet, mutating `graph`
+  addControlNetToLinearGraph(state, graph, INPAINT);
+
+  // NSFW & watermark - must be last thing added to graph
+  if (state.system.shouldUseNSFWChecker) {
+    // must add before watermarker!
+    addNSFWCheckerToGraph(state, graph, INPAINT);
+  }
+
+  if (state.system.shouldUseWatermarker) {
+    // must add after nsfw checker!
+    addWatermarkerToGraph(state, graph, INPAINT);
+  }
+
+  return graph;
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
index 04cc120cbe..1d05d05073 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
@@ -3,8 +3,6 @@ import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
 import {
   ImageDTO,
-  InfillPatchmatchInvocation,
-  InfillTileInvocation,
   RandomIntInvocation,
   RangeOfSizeInvocation,
 } from 'services/api/types';
@@ -20,12 +18,9 @@ import {
   INPAINT_FINAL_IMAGE,
   INPAINT_GRAPH,
   INPAINT_IMAGE,
-  INPAINT_INFILL,
   ITERATE,
   LATENTS_TO_IMAGE,
   MASK_BLUR,
-  MASK_COMBINE,
-  MASK_FROM_ALPHA,
   NEGATIVE_CONDITIONING,
   NOISE,
   POSITIVE_CONDITIONING,
@@ -60,8 +55,6 @@ export const buildCanvasSDXLInpaintGraph = (
     shouldUseCpuNoise,
     maskBlur,
     maskBlurMethod,
-    tileSize,
-    infillMethod,
   } = state.generation;
 
   const {
@@ -91,69 +84,13 @@ export const buildCanvasSDXLInpaintGraph = (
     ? shouldUseCpuNoise
     : shouldUseCpuNoise;
 
-  let infillNode: InfillTileInvocation | InfillPatchmatchInvocation = {
-    type: 'infill_tile',
-    id: INPAINT_INFILL,
-    is_intermediate: true,
-    image: canvasInitImage,
-    tile_size: tileSize,
-  };
-
-  if (infillMethod === 'patchmatch') {
-    infillNode = {
-      type: 'infill_patchmatch',
-      id: INPAINT_INFILL,
-      is_intermediate: true,
-      image: canvasInitImage,
-    };
-  }
-
   const graph: NonNullableGraph = {
     id: INPAINT_GRAPH,
     nodes: {
-      [INPAINT]: {
-        type: 'denoise_latents',
-        id: INPAINT,
-        is_intermediate: true,
-        steps: steps,
-        cfg_scale: cfg_scale,
-        scheduler: scheduler,
-        denoising_start: 1 - strength,
-        denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
-      },
-      [infillNode.id]: infillNode,
-      [MASK_FROM_ALPHA]: {
-        type: 'tomask',
-        id: MASK_FROM_ALPHA,
-        is_intermediate: true,
-        image: canvasInitImage,
-      },
-      [MASK_COMBINE]: {
-        type: 'mask_combine',
-        id: MASK_COMBINE,
-        is_intermediate: true,
-        mask2: canvasMaskImage,
-      },
-      [MASK_BLUR]: {
-        type: 'img_blur',
-        id: MASK_BLUR,
-        is_intermediate: true,
-        radius: maskBlur,
-        blur_type: maskBlurMethod,
-      },
-      [INPAINT_IMAGE]: {
-        type: 'i2l',
-        id: INPAINT_IMAGE,
-        is_intermediate: true,
-        fp32: vaePrecision === 'fp32' ? true : false,
-      },
-      [NOISE]: {
-        type: 'noise',
-        id: NOISE,
-        width,
-        height,
-        use_cpu,
-        is_intermediate: true,
+      [SDXL_MODEL_LOADER]: {
+        type: 'sdxl_model_loader',
+        id: SDXL_MODEL_LOADER,
+        model,
       },
       [POSITIVE_CONDITIONING]: {
         type: 'sdxl_compel_prompt',
@@ -171,10 +108,38 @@ export const buildCanvasSDXLInpaintGraph = (
           ? `${negativePrompt} ${negativeStylePrompt}`
           : negativeStylePrompt,
       },
-      [SDXL_MODEL_LOADER]: {
-        type: 'sdxl_model_loader',
-        id: SDXL_MODEL_LOADER,
-        model,
+      [MASK_BLUR]: {
+        type: 'mask_blur',
+        id: MASK_BLUR,
+        is_intermediate: true,
+        radius: maskBlur,
+        blur_type: maskBlurMethod,
+        mask: canvasMaskImage,
+      },
+      [INPAINT_IMAGE]: {
+        type: 'i2l',
+        id: INPAINT_IMAGE,
+        is_intermediate: true,
+        fp32: vaePrecision === 'fp32' ? true : false,
+        image: canvasInitImage,
+      },
+      [NOISE]: {
+        type: 'noise',
+        id: NOISE,
+        width,
+        height,
+        use_cpu,
+        is_intermediate: true,
+      },
+      [INPAINT]: {
+        type: 'denoise_latents',
+        id: INPAINT,
+        is_intermediate: true,
+        steps: steps,
+        cfg_scale: cfg_scale,
+        scheduler: scheduler,
+        denoising_start: 1 - strength,
+        denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
       },
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
@@ -186,11 +151,14 @@ export const buildCanvasSDXLInpaintGraph = (
         type: 'color_correct',
         id: COLOR_CORRECT,
         is_intermediate: true,
+        reference: canvasInitImage,
+        mask: canvasMaskImage,
       },
       [INPAINT_FINAL_IMAGE]: {
         type: 'img_paste',
         id: INPAINT_FINAL_IMAGE,
         is_intermediate: true,
+        base_image: canvasInitImage,
       },
       [RANGE_OF_SIZE]: {
         type: 'range_of_size',
@@ -258,16 +226,6 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'clip2',
         },
       },
-      {
-        source: {
-          node_id: NEGATIVE_CONDITIONING,
-          field: 'conditioning',
-        },
-        destination: {
-          node_id: INPAINT,
-          field: 'negative_conditioning',
-        },
-      },
       {
         source: {
           node_id: POSITIVE_CONDITIONING,
@@ -278,6 +236,16 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'positive_conditioning',
         },
       },
+      {
+        source: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'negative_conditioning',
+        },
+      },
       {
         source: {
           node_id: NOISE,
@@ -288,16 +256,6 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'noise',
         },
       },
-      {
-        source: {
-          node_id: INPAINT_INFILL,
-          field: 'image',
-        },
-        destination: {
-          node_id: INPAINT_IMAGE,
-          field: 'image',
-        },
-      },
       {
         source: {
           node_id: INPAINT_IMAGE,
@@ -310,29 +268,9 @@ export const buildCanvasSDXLInpaintGraph = (
       },
       {
         source: {
-          node_id: MASK_FROM_ALPHA,
+          node_id: MASK_BLUR,
           field: 'mask',
         },
-        destination: {
-          node_id: MASK_COMBINE,
-          field: 'mask1',
-        },
-      },
-      {
-        source: {
-          node_id: MASK_COMBINE,
-          field: 'image',
-        },
-        destination: {
-          node_id: MASK_BLUR,
-          field: 'image',
-        },
-      },
-      {
-        source: {
-          node_id: MASK_BLUR,
-          field: 'image',
-        },
         destination: {
           node_id: INPAINT,
           field: 'mask',
@@ -368,26 +306,6 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'latents',
         },
       },
-      {
-        source: {
-          node_id: INPAINT_INFILL,
-          field: 'image',
-        },
-        destination: {
-          node_id: COLOR_CORRECT,
-          field: 'reference',
-        },
-      },
-      {
-        source: {
-          node_id: MASK_BLUR,
-          field: 'image',
-        },
-        destination: {
-          node_id: COLOR_CORRECT,
-          field: 'mask',
-        },
-      },
       {
         source: {
           node_id: LATENTS_TO_IMAGE,
@@ -398,26 +316,6 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'image',
         },
       },
-      {
-        source: {
-          node_id: INPAINT_INFILL,
-          field: 'image',
-        },
-        destination: {
-          node_id: INPAINT_FINAL_IMAGE,
-          field: 'base_image',
-        },
-      },
-      {
-        source: {
-          node_id: MASK_BLUR,
-          field: 'image',
-        },
-        destination: {
-          node_id: INPAINT_FINAL_IMAGE,
-          field: 'mask',
-        },
-      },
       {
         source: {
           node_id: COLOR_CORRECT,
@@ -428,6 +326,16 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'image',
         },
       },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'mask',
+        },
+        destination: {
+          node_id: INPAINT_FINAL_IMAGE,
+          field: 'mask',
+        },
+      },
     ],
   };
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
new file mode 100644
index 0000000000..2b60019003
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -0,0 +1,480 @@
+import { logger } from 'app/logging/logger';
+import { RootState } from 'app/store/store';
+import { NonNullableGraph } from 'features/nodes/types/types';
+import {
+  ImageDTO,
+  InfillPatchmatchInvocation,
+  InfillTileInvocation,
+  RandomIntInvocation,
+  RangeOfSizeInvocation,
+} from 'services/api/types';
+import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
+import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
+import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
+import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
+import { addVAEToGraph } from './addVAEToGraph';
+import { addWatermarkerToGraph } from './addWatermarkerToGraph';
+import {
+  COLOR_CORRECT,
+  INPAINT,
+  INPAINT_FINAL_IMAGE,
+  INPAINT_GRAPH,
+  INPAINT_IMAGE,
+  INPAINT_INFILL,
+  ITERATE,
+  LATENTS_TO_IMAGE,
+  MASK_BLUR,
+  MASK_COMBINE,
+  MASK_FROM_ALPHA,
+  NEGATIVE_CONDITIONING,
+  NOISE,
+  POSITIVE_CONDITIONING,
+  RANDOM_INT,
+  RANGE_OF_SIZE,
+  SDXL_MODEL_LOADER,
+} from './constants';
+
+/**
+ * Builds the Canvas tab's Outpaint graph.
+ */
+export const buildCanvasSDXLOutpaintGraph = (
+  state: RootState,
+  canvasInitImage: ImageDTO,
+  canvasMaskImage?: ImageDTO
+): NonNullableGraph => {
+  const log = logger('nodes');
+  const {
+    positivePrompt,
+    negativePrompt,
+    model,
+    cfgScale: cfg_scale,
+    scheduler,
+    steps,
+    img2imgStrength: strength,
+    shouldFitToWidthHeight,
+    iterations,
+    seed,
+    shouldRandomizeSeed,
+    vaePrecision,
+    shouldUseNoiseSettings,
+    shouldUseCpuNoise,
+    maskBlur,
+    maskBlurMethod,
+    tileSize,
+    infillMethod,
+  } = state.generation;
+
+  const {
+    positiveStylePrompt,
+    negativeStylePrompt,
+    shouldConcatSDXLStylePrompt,
+    shouldUseSDXLRefiner,
+    refinerStart,
+  } = state.sdxl;
+
+  if (!model) {
+    log.error('No model found in state');
+    throw new Error('No model found in state');
+  }
+
+  // The bounding box determines width and height, not the width and height params
+  const { width, height } = state.canvas.boundingBoxDimensions;
+
+  // We may need to set the inpaint width and height to scale the image
+  const {
+    scaledBoundingBoxDimensions,
+    boundingBoxScaleMethod,
+    shouldAutoSave,
+  } = state.canvas;
+
+  const use_cpu = shouldUseNoiseSettings
+    ? shouldUseCpuNoise
+    : shouldUseCpuNoise;
+
+  let infillNode: InfillTileInvocation | InfillPatchmatchInvocation = {
+    type: 'infill_tile',
+    id: INPAINT_INFILL,
+    is_intermediate: true,
+    image: canvasInitImage,
+    tile_size: tileSize,
+  };
+
+  if (infillMethod === 'patchmatch') {
+    infillNode = {
+      type: 'infill_patchmatch',
+      id: INPAINT_INFILL,
+      is_intermediate: true,
+      image: canvasInitImage,
+    };
+  }
+
+  const graph: NonNullableGraph = {
+    id: INPAINT_GRAPH,
+    nodes: {
+      [INPAINT]: {
+        type: 'denoise_latents',
+        id: INPAINT,
+        is_intermediate: true,
+        steps: steps,
+        cfg_scale: cfg_scale,
+        scheduler: scheduler,
+        denoising_start: 1 - strength,
+        denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
+      },
+      [infillNode.id]: infillNode,
+      [MASK_FROM_ALPHA]: {
+        type: 'tomask',
+        id: MASK_FROM_ALPHA,
+        is_intermediate: true,
+        image: canvasInitImage,
+      },
+      [MASK_COMBINE]: {
+        type: 'mask_combine',
+        id: MASK_COMBINE,
+        is_intermediate: true,
+        mask2: canvasMaskImage,
+      },
+      [MASK_BLUR]: {
+        type: 'mask_blur',
+        id: MASK_BLUR,
+        is_intermediate: true,
+        radius: maskBlur,
+        blur_type: maskBlurMethod,
+      },
+      [INPAINT_IMAGE]: {
+        type: 'i2l',
+        id: INPAINT_IMAGE,
+        is_intermediate: true,
+        fp32: vaePrecision === 'fp32' ? true : false,
+      },
+      [NOISE]: {
+        type: 'noise',
+        id: NOISE,
+        width,
+        height,
+        use_cpu,
+        is_intermediate: true,
+      },
+      [POSITIVE_CONDITIONING]: {
+        type: 'sdxl_compel_prompt',
+        id: POSITIVE_CONDITIONING,
+        prompt: positivePrompt,
+        style: shouldConcatSDXLStylePrompt
+          ? `${positivePrompt} ${positiveStylePrompt}`
+          : positiveStylePrompt,
+      },
+      [NEGATIVE_CONDITIONING]: {
+        type: 'sdxl_compel_prompt',
+        id: NEGATIVE_CONDITIONING,
+        prompt: negativePrompt,
+        style: shouldConcatSDXLStylePrompt
+          ? `${negativePrompt} ${negativeStylePrompt}`
+          : negativeStylePrompt,
+      },
+      [SDXL_MODEL_LOADER]: {
+        type: 'sdxl_model_loader',
+        id: SDXL_MODEL_LOADER,
+        model,
+      },
+      [LATENTS_TO_IMAGE]: {
+        type: 'l2i',
+        id: LATENTS_TO_IMAGE,
+        is_intermediate: true,
+        fp32: vaePrecision === 'fp32' ? true : false,
+      },
+      [COLOR_CORRECT]: {
+        type: 'color_correct',
+        id: COLOR_CORRECT,
+        is_intermediate: true,
+      },
+      [INPAINT_FINAL_IMAGE]: {
+        type: 'img_paste',
+        id: INPAINT_FINAL_IMAGE,
+        is_intermediate: true,
+      },
+      [RANGE_OF_SIZE]: {
+        type: 'range_of_size',
+        id: RANGE_OF_SIZE,
+        is_intermediate: true,
+        // seed - must be connected manually
+        // start: 0,
+        size: iterations,
+        step: 1,
+      },
+      [ITERATE]: {
+        type: 'iterate',
+        id: ITERATE,
+        is_intermediate: true,
+      },
+    },
+    edges: [
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'unet',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'unet',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'clip',
+        },
+        destination: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'clip',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'clip2',
+        },
+        destination: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'clip2',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'clip',
+        },
+        destination: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'clip',
+        },
+      },
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'clip2',
+        },
+        destination: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'clip2',
+        },
+      },
+      {
+        source: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'negative_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'positive_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: NOISE,
+          field: 'noise',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'noise',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_INFILL,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_IMAGE,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_IMAGE,
+          field: 'latents',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'latents',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_FROM_ALPHA,
+          field: 'mask',
+        },
+        destination: {
+          node_id: MASK_COMBINE,
+          field: 'mask1',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_COMBINE,
+          field: 'mask',
+        },
+        destination: {
+          node_id: MASK_BLUR,
+          field: 'mask',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'mask',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'mask',
+        },
+      },
+      {
+        source: {
+          node_id: RANGE_OF_SIZE,
+          field: 'collection',
+        },
+        destination: {
+          node_id: ITERATE,
+          field: 'collection',
+        },
+      },
+      {
+        source: {
+          node_id: ITERATE,
+          field: 'item',
+        },
+        destination: {
+          node_id: NOISE,
+          field: 'seed',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT,
+          field: 'latents',
+        },
+        destination: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'latents',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_INFILL,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'reference',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'mask',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'mask',
+        },
+      },
+      {
+        source: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_INFILL,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_FINAL_IMAGE,
+          field: 'base_image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'mask',
+        },
+        destination: {
+          node_id: INPAINT_FINAL_IMAGE,
+          field: 'mask',
+        },
+      },
+      {
+        source: {
+          node_id: COLOR_CORRECT,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_FINAL_IMAGE,
+          field: 'image',
+        },
+      },
+    ],
+  };
+
+  // Add Refiner if enabled
+  if (shouldUseSDXLRefiner) {
+    addSDXLRefinerToGraph(state, graph, INPAINT);
+  }
+
+  // Add VAE
+  addVAEToGraph(state, graph, SDXL_MODEL_LOADER);
+
+  // handle seed
+  if (shouldRandomizeSeed) {
+    // Random int node to generate the starting seed
+    const randomIntNode: RandomIntInvocation = {
+      id: RANDOM_INT,
+      type: 'rand_int',
+    };
+
+    graph.nodes[RANDOM_INT] = randomIntNode;
+
+    // Connect random int to the start of the range of size so the range starts on the random first seed
+    graph.edges.push({
+      source: { node_id: RANDOM_INT, field: 'a' },
+      destination: { node_id: RANGE_OF_SIZE, field: 'start' },
+    });
+  } else {
+    // User specified seed, so set the start of the range of size to the seed
+    (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed;
+  }
+
+  // add LoRA support
+  addSDXLLoRAsToGraph(state, graph, INPAINT, SDXL_MODEL_LOADER);
+
+  // add controlnet, mutating `graph`
+  addControlNetToLinearGraph(state, graph, INPAINT);
+
+  // NSFW & watermark - must be last thing added to graph
+  if (state.system.shouldUseNSFWChecker) {
+    // must add before watermarker!
+    addNSFWCheckerToGraph(state, graph, INPAINT);
+  }
+
+  if (state.system.shouldUseWatermarker) {
+    // must add after nsfw checker!
+    addWatermarkerToGraph(state, graph, INPAINT);
+  }
+
+  return graph;
+};
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index b4fcf7f75c..84053db29c 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -1586,7 +1586,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
+        [key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["MaskBlurInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
       };
       /**
        * Edges 
@@ -3273,6 +3273,47 @@ export type components = {
        */
       model: components["schemas"]["MainModelField"];
     };
+    /**
+     * MaskBlurInvocation 
+     * @description Blurs a mask
+     */
+    MaskBlurInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default mask_blur 
+       * @enum {string}
+       */
+      type?: "mask_blur";
+      /**
+       * Mask 
+       * @description The mask image to blur
+       */
+      mask?: components["schemas"]["ImageField"];
+      /**
+       * Radius 
+       * @description The blur radius 
+       * @default 8
+       */
+      radius?: number;
+      /**
+       * Blur Type 
+       * @description The type of blur 
+       * @default gaussian 
+       * @enum {string}
+       */
+      blur_type?: "gaussian" | "box";
+    };
     /**
      * MaskCombineInvocation 
      * @description Combine two masks together by multiplying them using `PIL.ImageChops.multiply()`.
@@ -5780,12 +5821,24 @@ export type components = {
        */
       image?: components["schemas"]["ImageField"];
     };
+    /**
+     * StableDiffusion1ModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionXLModelFormat 
      * @description An enumeration. 
      * @enum {string}
      */
     StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionOnnxModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusionOnnxModelFormat: "olive" | "onnx";
     /**
      * ControlNetModelFormat 
      * @description An enumeration. 
@@ -5798,18 +5851,6 @@ export type components = {
      * @enum {string}
      */
     StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusionOnnxModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusionOnnxModelFormat: "olive" | "onnx";
-    /**
-     * StableDiffusion1ModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -5920,7 +5961,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["MaskBlurInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -5957,7 +5998,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["MaskBlurInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {

From 7587b54787e022dec863f88c3b163f77b14fa133 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 12 Aug 2023 17:17:46 +1200
Subject: [PATCH 174/287] chore: Cleanup, comment and organize Node Graphs

Before it gets too chaotic
---
 .../buildCanvasImageToImageGraph.ts           | 116 +++++-----
 .../graphBuilders/buildCanvasInpaintGraph.ts  | 113 +++++-----
 .../graphBuilders/buildCanvasOutpaintGraph.ts | 197 ++++++++---------
 .../buildCanvasSDXLImageToImageGraph.ts       |  87 ++++----
 .../buildCanvasSDXLInpaintGraph.ts            |   6 +
 .../buildCanvasSDXLOutpaintGraph.ts           | 198 +++++++++---------
 .../buildCanvasSDXLTextToImageGraph.ts        |  46 ++--
 .../buildCanvasTextToImageGraph.ts            | 129 ++++++------
 .../buildLinearImageToImageGraph.ts           |  62 +++---
 .../buildLinearSDXLImageToImageGraph.ts       |  63 +++---
 .../buildLinearSDXLTextToImageGraph.ts        |   3 +
 .../buildLinearTextToImageGraph.ts            |  78 +++----
 12 files changed, 584 insertions(+), 514 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
index 181a0d9294..a4cd3b2add 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
@@ -75,6 +75,18 @@ export const buildCanvasImageToImageGraph = (
   const graph: NonNullableGraph = {
     id: IMAGE_TO_IMAGE_GRAPH,
     nodes: {
+      [MAIN_MODEL_LOADER]: {
+        type: 'main_model_loader',
+        id: MAIN_MODEL_LOADER,
+        is_intermediate: true,
+        model,
+      },
+      [CLIP_SKIP]: {
+        type: 'clip_skip',
+        id: CLIP_SKIP,
+        is_intermediate: true,
+        skipped_layers: clipSkip,
+      },
       [POSITIVE_CONDITIONING]: {
         type: 'compel',
         id: POSITIVE_CONDITIONING,
@@ -93,17 +105,14 @@ export const buildCanvasImageToImageGraph = (
         is_intermediate: true,
         use_cpu,
       },
-      [MAIN_MODEL_LOADER]: {
-        type: 'main_model_loader',
-        id: MAIN_MODEL_LOADER,
+      [IMAGE_TO_LATENTS]: {
+        type: 'i2l',
+        id: IMAGE_TO_LATENTS,
         is_intermediate: true,
-        model,
-      },
-      [CLIP_SKIP]: {
-        type: 'clip_skip',
-        id: CLIP_SKIP,
-        is_intermediate: true,
-        skipped_layers: clipSkip,
+        // must be set manually later, bc `fit` parameter may require a resize node inserted
+        // image: {
+        //   image_name: initialImage.image_name,
+        // },
       },
       [DENOISE_LATENTS]: {
         type: 'denoise_latents',
@@ -115,15 +124,6 @@ export const buildCanvasImageToImageGraph = (
         denoising_start: 1 - strength,
         denoising_end: 1,
       },
-      [IMAGE_TO_LATENTS]: {
-        type: 'i2l',
-        id: IMAGE_TO_LATENTS,
-        is_intermediate: true,
-        // must be set manually later, bc `fit` parameter may require a resize node inserted
-        // image: {
-        //   image_name: initialImage.image_name,
-        // },
-      },
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
@@ -131,6 +131,17 @@ export const buildCanvasImageToImageGraph = (
       },
     },
     edges: [
+      // Connect Model Loader to CLIP Skip and UNet
+      {
+        source: {
+          node_id: MAIN_MODEL_LOADER,
+          field: 'unet',
+        },
+        destination: {
+          node_id: DENOISE_LATENTS,
+          field: 'unet',
+        },
+      },
       {
         source: {
           node_id: MAIN_MODEL_LOADER,
@@ -141,6 +152,7 @@ export const buildCanvasImageToImageGraph = (
           field: 'clip',
         },
       },
+      // Connect CLIP Skip To Conditioning
       {
         source: {
           node_id: CLIP_SKIP,
@@ -161,44 +173,15 @@ export const buildCanvasImageToImageGraph = (
           field: 'clip',
         },
       },
+      // Connect Everything To Denoise Latents
       {
         source: {
-          node_id: DENOISE_LATENTS,
-          field: 'latents',
-        },
-        destination: {
-          node_id: LATENTS_TO_IMAGE,
-          field: 'latents',
-        },
-      },
-      {
-        source: {
-          node_id: IMAGE_TO_LATENTS,
-          field: 'latents',
+          node_id: POSITIVE_CONDITIONING,
+          field: 'conditioning',
         },
         destination: {
           node_id: DENOISE_LATENTS,
-          field: 'latents',
-        },
-      },
-      {
-        source: {
-          node_id: NOISE,
-          field: 'noise',
-        },
-        destination: {
-          node_id: DENOISE_LATENTS,
-          field: 'noise',
-        },
-      },
-      {
-        source: {
-          node_id: MAIN_MODEL_LOADER,
-          field: 'unet',
-        },
-        destination: {
-          node_id: DENOISE_LATENTS,
-          field: 'unet',
+          field: 'positive_conditioning',
         },
       },
       {
@@ -213,12 +196,33 @@ export const buildCanvasImageToImageGraph = (
       },
       {
         source: {
-          node_id: POSITIVE_CONDITIONING,
-          field: 'conditioning',
+          node_id: NOISE,
+          field: 'noise',
         },
         destination: {
           node_id: DENOISE_LATENTS,
-          field: 'positive_conditioning',
+          field: 'noise',
+        },
+      },
+      {
+        source: {
+          node_id: IMAGE_TO_LATENTS,
+          field: 'latents',
+        },
+        destination: {
+          node_id: DENOISE_LATENTS,
+          field: 'latents',
+        },
+      },
+      // Decode the denoised latents to an image
+      {
+        source: {
+          node_id: DENOISE_LATENTS,
+          field: 'latents',
+        },
+        destination: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'latents',
         },
       },
     ],
@@ -328,7 +332,7 @@ export const buildCanvasImageToImageGraph = (
   addLoRAsToGraph(state, graph, DENOISE_LATENTS);
 
   // optionally add custom VAE
-  addVAEToGraph(state, graph);
+  addVAEToGraph(state, graph, MAIN_MODEL_LOADER);
 
   // add dynamic prompts - also sets up core iteration and seed
   addDynamicPromptsToGraph(state, graph);
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
index 5afcd80d85..2ecc858aa4 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
@@ -80,15 +80,29 @@ export const buildCanvasInpaintGraph = (
   const graph: NonNullableGraph = {
     id: INPAINT_GRAPH,
     nodes: {
-      [INPAINT]: {
-        type: 'denoise_latents',
-        id: INPAINT,
+      [MAIN_MODEL_LOADER]: {
+        type: 'main_model_loader',
+        id: MAIN_MODEL_LOADER,
         is_intermediate: true,
-        steps: steps,
-        cfg_scale: cfg_scale,
-        scheduler: scheduler,
-        denoising_start: 1 - strength,
-        denoising_end: 1,
+        model,
+      },
+      [CLIP_SKIP]: {
+        type: 'clip_skip',
+        id: CLIP_SKIP,
+        is_intermediate: true,
+        skipped_layers: clipSkip,
+      },
+      [POSITIVE_CONDITIONING]: {
+        type: 'compel',
+        id: POSITIVE_CONDITIONING,
+        is_intermediate: true,
+        prompt: positivePrompt,
+      },
+      [NEGATIVE_CONDITIONING]: {
+        type: 'compel',
+        id: NEGATIVE_CONDITIONING,
+        is_intermediate: true,
+        prompt: negativePrompt,
       },
       [MASK_BLUR]: {
         type: 'mask_blur',
@@ -113,23 +127,15 @@ export const buildCanvasInpaintGraph = (
         use_cpu,
         is_intermediate: true,
       },
-      [POSITIVE_CONDITIONING]: {
-        type: 'compel',
-        id: POSITIVE_CONDITIONING,
+      [INPAINT]: {
+        type: 'denoise_latents',
+        id: INPAINT,
         is_intermediate: true,
-        prompt: positivePrompt,
-      },
-      [NEGATIVE_CONDITIONING]: {
-        type: 'compel',
-        id: NEGATIVE_CONDITIONING,
-        is_intermediate: true,
-        prompt: negativePrompt,
-      },
-      [MAIN_MODEL_LOADER]: {
-        type: 'main_model_loader',
-        id: MAIN_MODEL_LOADER,
-        is_intermediate: true,
-        model,
+        steps: steps,
+        cfg_scale: cfg_scale,
+        scheduler: scheduler,
+        denoising_start: 1 - strength,
+        denoising_end: 1,
       },
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
@@ -137,12 +143,6 @@ export const buildCanvasInpaintGraph = (
         is_intermediate: true,
         fp32: vaePrecision === 'fp32' ? true : false,
       },
-      [CLIP_SKIP]: {
-        type: 'clip_skip',
-        id: CLIP_SKIP,
-        is_intermediate: true,
-        skipped_layers: clipSkip,
-      },
       [COLOR_CORRECT]: {
         type: 'color_correct',
         id: COLOR_CORRECT,
@@ -172,6 +172,7 @@ export const buildCanvasInpaintGraph = (
       },
     },
     edges: [
+      // Connect Model Loader to CLIP Skip and UNet
       {
         source: {
           node_id: MAIN_MODEL_LOADER,
@@ -192,6 +193,7 @@ export const buildCanvasInpaintGraph = (
           field: 'clip',
         },
       },
+      // Connect CLIP Skip to Conditioning
       {
         source: {
           node_id: CLIP_SKIP,
@@ -212,6 +214,17 @@ export const buildCanvasInpaintGraph = (
           field: 'clip',
         },
       },
+      // Connect Everything To Inpaint Node
+      {
+        source: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'positive_conditioning',
+        },
+      },
       {
         source: {
           node_id: NEGATIVE_CONDITIONING,
@@ -222,16 +235,6 @@ export const buildCanvasInpaintGraph = (
           field: 'negative_conditioning',
         },
       },
-      {
-        source: {
-          node_id: POSITIVE_CONDITIONING,
-          field: 'conditioning',
-        },
-        destination: {
-          node_id: INPAINT,
-          field: 'positive_conditioning',
-        },
-      },
       {
         source: {
           node_id: NOISE,
@@ -262,6 +265,7 @@ export const buildCanvasInpaintGraph = (
           field: 'mask',
         },
       },
+      // Iterate
       {
         source: {
           node_id: RANGE_OF_SIZE,
@@ -282,6 +286,7 @@ export const buildCanvasInpaintGraph = (
           field: 'seed',
         },
       },
+      // Decode Inpainted Latents To Image
       {
         source: {
           node_id: INPAINT,
@@ -292,6 +297,7 @@ export const buildCanvasInpaintGraph = (
           field: 'latents',
         },
       },
+      // Color Correct The Inpainted Result
       {
         source: {
           node_id: LATENTS_TO_IMAGE,
@@ -302,6 +308,17 @@ export const buildCanvasInpaintGraph = (
           field: 'image',
         },
       },
+      // Paste Back Onto Original Image
+      {
+        source: {
+          node_id: COLOR_CORRECT,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_FINAL_IMAGE,
+          field: 'image',
+        },
+      },
       {
         source: {
           node_id: MASK_BLUR,
@@ -312,22 +329,9 @@ export const buildCanvasInpaintGraph = (
           field: 'mask',
         },
       },
-      {
-        source: {
-          node_id: COLOR_CORRECT,
-          field: 'image',
-        },
-        destination: {
-          node_id: INPAINT_FINAL_IMAGE,
-          field: 'image',
-        },
-      },
     ],
   };
 
-  // Add VAE
-  addVAEToGraph(state, graph, MAIN_MODEL_LOADER);
-
   // handle seed
   if (shouldRandomizeSeed) {
     // Random int node to generate the starting seed
@@ -348,6 +352,9 @@ export const buildCanvasInpaintGraph = (
     (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed;
   }
 
+  // Add VAE
+  addVAEToGraph(state, graph, MAIN_MODEL_LOADER);
+
   // add LoRA support
   addLoRAsToGraph(state, graph, INPAINT, MAIN_MODEL_LOADER);
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
index a11473314d..7949adfe39 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
@@ -104,17 +104,30 @@ export const buildCanvasOutpaintGraph = (
   const graph: NonNullableGraph = {
     id: INPAINT_GRAPH,
     nodes: {
-      [INPAINT]: {
-        type: 'denoise_latents',
-        id: INPAINT,
+      [MAIN_MODEL_LOADER]: {
+        type: 'main_model_loader',
+        id: MAIN_MODEL_LOADER,
         is_intermediate: true,
-        steps: steps,
-        cfg_scale: cfg_scale,
-        scheduler: scheduler,
-        denoising_start: 1 - strength,
-        denoising_end: 1,
+        model,
+      },
+      [CLIP_SKIP]: {
+        type: 'clip_skip',
+        id: CLIP_SKIP,
+        is_intermediate: true,
+        skipped_layers: clipSkip,
+      },
+      [POSITIVE_CONDITIONING]: {
+        type: 'compel',
+        id: POSITIVE_CONDITIONING,
+        is_intermediate: true,
+        prompt: positivePrompt,
+      },
+      [NEGATIVE_CONDITIONING]: {
+        type: 'compel',
+        id: NEGATIVE_CONDITIONING,
+        is_intermediate: true,
+        prompt: negativePrompt,
       },
-      [infillNode.id]: infillNode,
       [MASK_FROM_ALPHA]: {
         type: 'tomask',
         id: MASK_FROM_ALPHA,
@@ -134,6 +147,7 @@ export const buildCanvasOutpaintGraph = (
         radius: maskBlur,
         blur_type: maskBlurMethod,
       },
+      [infillNode.id]: infillNode,
       [INPAINT_IMAGE]: {
         type: 'i2l',
         id: INPAINT_IMAGE,
@@ -148,23 +162,15 @@ export const buildCanvasOutpaintGraph = (
         use_cpu,
         is_intermediate: true,
       },
-      [POSITIVE_CONDITIONING]: {
-        type: 'compel',
-        id: POSITIVE_CONDITIONING,
+      [INPAINT]: {
+        type: 'denoise_latents',
+        id: INPAINT,
         is_intermediate: true,
-        prompt: positivePrompt,
-      },
-      [NEGATIVE_CONDITIONING]: {
-        type: 'compel',
-        id: NEGATIVE_CONDITIONING,
-        is_intermediate: true,
-        prompt: negativePrompt,
-      },
-      [MAIN_MODEL_LOADER]: {
-        type: 'main_model_loader',
-        id: MAIN_MODEL_LOADER,
-        is_intermediate: true,
-        model,
+        steps: steps,
+        cfg_scale: cfg_scale,
+        scheduler: scheduler,
+        denoising_start: 1 - strength,
+        denoising_end: 1,
       },
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
@@ -172,12 +178,6 @@ export const buildCanvasOutpaintGraph = (
         is_intermediate: true,
         fp32: vaePrecision === 'fp32' ? true : false,
       },
-      [CLIP_SKIP]: {
-        type: 'clip_skip',
-        id: CLIP_SKIP,
-        is_intermediate: true,
-        skipped_layers: clipSkip,
-      },
       [COLOR_CORRECT]: {
         type: 'color_correct',
         id: COLOR_CORRECT,
@@ -204,6 +204,7 @@ export const buildCanvasOutpaintGraph = (
       },
     },
     edges: [
+      // Connect Model Loader To UNet & Clip Skip
       {
         source: {
           node_id: MAIN_MODEL_LOADER,
@@ -224,6 +225,7 @@ export const buildCanvasOutpaintGraph = (
           field: 'clip',
         },
       },
+      // Connect CLIP Skip to Conditioning
       {
         source: {
           node_id: CLIP_SKIP,
@@ -244,36 +246,7 @@ export const buildCanvasOutpaintGraph = (
           field: 'clip',
         },
       },
-      {
-        source: {
-          node_id: NEGATIVE_CONDITIONING,
-          field: 'conditioning',
-        },
-        destination: {
-          node_id: INPAINT,
-          field: 'negative_conditioning',
-        },
-      },
-      {
-        source: {
-          node_id: POSITIVE_CONDITIONING,
-          field: 'conditioning',
-        },
-        destination: {
-          node_id: INPAINT,
-          field: 'positive_conditioning',
-        },
-      },
-      {
-        source: {
-          node_id: NOISE,
-          field: 'noise',
-        },
-        destination: {
-          node_id: INPAINT,
-          field: 'noise',
-        },
-      },
+      // Connect Infill Result To Inpaint Image
       {
         source: {
           node_id: INPAINT_INFILL,
@@ -284,16 +257,7 @@ export const buildCanvasOutpaintGraph = (
           field: 'image',
         },
       },
-      {
-        source: {
-          node_id: INPAINT_IMAGE,
-          field: 'latents',
-        },
-        destination: {
-          node_id: INPAINT,
-          field: 'latents',
-        },
-      },
+      // Combine Mask from Init Image with User Painted Mask
       {
         source: {
           node_id: MASK_FROM_ALPHA,
@@ -314,6 +278,47 @@ export const buildCanvasOutpaintGraph = (
           field: 'mask',
         },
       },
+      // Plug Everything Into Inpaint Node
+      {
+        source: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'positive_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'negative_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: NOISE,
+          field: 'noise',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'noise',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_IMAGE,
+          field: 'latents',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'latents',
+        },
+      },
       {
         source: {
           node_id: MASK_BLUR,
@@ -324,6 +329,7 @@ export const buildCanvasOutpaintGraph = (
           field: 'mask',
         },
       },
+      // Iterate
       {
         source: {
           node_id: RANGE_OF_SIZE,
@@ -344,6 +350,7 @@ export const buildCanvasOutpaintGraph = (
           field: 'seed',
         },
       },
+      // Decode the result from Inpaint
       {
         source: {
           node_id: INPAINT,
@@ -354,6 +361,7 @@ export const buildCanvasOutpaintGraph = (
           field: 'latents',
         },
       },
+      // Color Correct The Inpainted Result
       {
         source: {
           node_id: INPAINT_INFILL,
@@ -364,16 +372,6 @@ export const buildCanvasOutpaintGraph = (
           field: 'reference',
         },
       },
-      {
-        source: {
-          node_id: MASK_BLUR,
-          field: 'mask',
-        },
-        destination: {
-          node_id: COLOR_CORRECT,
-          field: 'mask',
-        },
-      },
       {
         source: {
           node_id: LATENTS_TO_IMAGE,
@@ -384,6 +382,17 @@ export const buildCanvasOutpaintGraph = (
           field: 'image',
         },
       },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'mask',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'mask',
+        },
+      },
+      // Paste Everything Back
       {
         source: {
           node_id: INPAINT_INFILL,
@@ -394,16 +403,6 @@ export const buildCanvasOutpaintGraph = (
           field: 'base_image',
         },
       },
-      {
-        source: {
-          node_id: MASK_BLUR,
-          field: 'mask',
-        },
-        destination: {
-          node_id: INPAINT_FINAL_IMAGE,
-          field: 'mask',
-        },
-      },
       {
         source: {
           node_id: COLOR_CORRECT,
@@ -414,12 +413,19 @@ export const buildCanvasOutpaintGraph = (
           field: 'image',
         },
       },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'mask',
+        },
+        destination: {
+          node_id: INPAINT_FINAL_IMAGE,
+          field: 'mask',
+        },
+      },
     ],
   };
 
-  // Add VAE
-  addVAEToGraph(state, graph, MAIN_MODEL_LOADER);
-
   // handle seed
   if (shouldRandomizeSeed) {
     // Random int node to generate the starting seed
@@ -440,6 +446,9 @@ export const buildCanvasOutpaintGraph = (
     (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed;
   }
 
+  // Add VAE
+  addVAEToGraph(state, graph, MAIN_MODEL_LOADER);
+
   // add LoRA support
   addLoRAsToGraph(state, graph, INPAINT, MAIN_MODEL_LOADER);
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
index b8322fd612..80f3d671c9 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
@@ -110,6 +110,15 @@ export const buildCanvasSDXLImageToImageGraph = (
         is_intermediate: true,
         use_cpu,
       },
+      [IMAGE_TO_LATENTS]: {
+        type: 'i2l',
+        id: IMAGE_TO_LATENTS,
+        is_intermediate: true,
+        // must be set manually later, bc `fit` parameter may require a resize node inserted
+        // image: {
+        //   image_name: initialImage.image_name,
+        // },
+      },
       [DENOISE_LATENTS]: {
         type: 'denoise_latents',
         id: DENOISE_LATENTS,
@@ -122,15 +131,6 @@ export const buildCanvasSDXLImageToImageGraph = (
           : 1 - strength,
         denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
       },
-      [IMAGE_TO_LATENTS]: {
-        type: 'i2l',
-        id: IMAGE_TO_LATENTS,
-        is_intermediate: true,
-        // must be set manually later, bc `fit` parameter may require a resize node inserted
-        // image: {
-        //   image_name: initialImage.image_name,
-        // },
-      },
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
@@ -138,36 +138,7 @@ export const buildCanvasSDXLImageToImageGraph = (
       },
     },
     edges: [
-      {
-        source: {
-          node_id: DENOISE_LATENTS,
-          field: 'latents',
-        },
-        destination: {
-          node_id: LATENTS_TO_IMAGE,
-          field: 'latents',
-        },
-      },
-      {
-        source: {
-          node_id: IMAGE_TO_LATENTS,
-          field: 'latents',
-        },
-        destination: {
-          node_id: DENOISE_LATENTS,
-          field: 'latents',
-        },
-      },
-      {
-        source: {
-          node_id: NOISE,
-          field: 'noise',
-        },
-        destination: {
-          node_id: DENOISE_LATENTS,
-          field: 'noise',
-        },
-      },
+      // Connect Model Loader To UNet & CLIP
       {
         source: {
           node_id: SDXL_MODEL_LOADER,
@@ -218,6 +189,17 @@ export const buildCanvasSDXLImageToImageGraph = (
           field: 'clip2',
         },
       },
+      // Connect Everything to Denoise Latents
+      {
+        source: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: DENOISE_LATENTS,
+          field: 'positive_conditioning',
+        },
+      },
       {
         source: {
           node_id: NEGATIVE_CONDITIONING,
@@ -230,12 +212,33 @@ export const buildCanvasSDXLImageToImageGraph = (
       },
       {
         source: {
-          node_id: POSITIVE_CONDITIONING,
-          field: 'conditioning',
+          node_id: NOISE,
+          field: 'noise',
         },
         destination: {
           node_id: DENOISE_LATENTS,
-          field: 'positive_conditioning',
+          field: 'noise',
+        },
+      },
+      {
+        source: {
+          node_id: IMAGE_TO_LATENTS,
+          field: 'latents',
+        },
+        destination: {
+          node_id: DENOISE_LATENTS,
+          field: 'latents',
+        },
+      },
+      // Decode denoised latents to an image
+      {
+        source: {
+          node_id: DENOISE_LATENTS,
+          field: 'latents',
+        },
+        destination: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'latents',
         },
       },
     ],
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
index 1d05d05073..52a159fb3a 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
@@ -176,6 +176,7 @@ export const buildCanvasSDXLInpaintGraph = (
       },
     },
     edges: [
+      // Connect Model Loader to UNet and CLIP
       {
         source: {
           node_id: SDXL_MODEL_LOADER,
@@ -226,6 +227,7 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'clip2',
         },
       },
+      // Connect everything to Inpaint
       {
         source: {
           node_id: POSITIVE_CONDITIONING,
@@ -276,6 +278,7 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'mask',
         },
       },
+      // Iterate
       {
         source: {
           node_id: RANGE_OF_SIZE,
@@ -296,6 +299,7 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'seed',
         },
       },
+      // Decode inpainted latents to image
       {
         source: {
           node_id: INPAINT,
@@ -306,6 +310,7 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'latents',
         },
       },
+      // Color Correct Inpainted Result
       {
         source: {
           node_id: LATENTS_TO_IMAGE,
@@ -316,6 +321,7 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'image',
         },
       },
+      // Paste them back on original image
       {
         source: {
           node_id: COLOR_CORRECT,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index 2b60019003..3ed12cd935 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -111,17 +111,34 @@ export const buildCanvasSDXLOutpaintGraph = (
   const graph: NonNullableGraph = {
     id: INPAINT_GRAPH,
     nodes: {
-      [INPAINT]: {
-        type: 'denoise_latents',
-        id: INPAINT,
-        is_intermediate: true,
-        steps: steps,
-        cfg_scale: cfg_scale,
-        scheduler: scheduler,
-        denoising_start: 1 - strength,
-        denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
+      [SDXL_MODEL_LOADER]: {
+        type: 'sdxl_model_loader',
+        id: SDXL_MODEL_LOADER,
+        model,
+      },
+      [POSITIVE_CONDITIONING]: {
+        type: 'sdxl_compel_prompt',
+        id: POSITIVE_CONDITIONING,
+        prompt: positivePrompt,
+        style: shouldConcatSDXLStylePrompt
+          ? `${positivePrompt} ${positiveStylePrompt}`
+          : positiveStylePrompt,
+      },
+      [NEGATIVE_CONDITIONING]: {
+        type: 'sdxl_compel_prompt',
+        id: NEGATIVE_CONDITIONING,
+        prompt: negativePrompt,
+        style: shouldConcatSDXLStylePrompt
+          ? `${negativePrompt} ${negativeStylePrompt}`
+          : negativeStylePrompt,
       },
       [infillNode.id]: infillNode,
+      [INPAINT_IMAGE]: {
+        type: 'i2l',
+        id: INPAINT_IMAGE,
+        is_intermediate: true,
+        fp32: vaePrecision === 'fp32' ? true : false,
+      },
       [MASK_FROM_ALPHA]: {
         type: 'tomask',
         id: MASK_FROM_ALPHA,
@@ -141,12 +158,6 @@ export const buildCanvasSDXLOutpaintGraph = (
         radius: maskBlur,
         blur_type: maskBlurMethod,
       },
-      [INPAINT_IMAGE]: {
-        type: 'i2l',
-        id: INPAINT_IMAGE,
-        is_intermediate: true,
-        fp32: vaePrecision === 'fp32' ? true : false,
-      },
       [NOISE]: {
         type: 'noise',
         id: NOISE,
@@ -155,26 +166,15 @@ export const buildCanvasSDXLOutpaintGraph = (
         use_cpu,
         is_intermediate: true,
       },
-      [POSITIVE_CONDITIONING]: {
-        type: 'sdxl_compel_prompt',
-        id: POSITIVE_CONDITIONING,
-        prompt: positivePrompt,
-        style: shouldConcatSDXLStylePrompt
-          ? `${positivePrompt} ${positiveStylePrompt}`
-          : positiveStylePrompt,
-      },
-      [NEGATIVE_CONDITIONING]: {
-        type: 'sdxl_compel_prompt',
-        id: NEGATIVE_CONDITIONING,
-        prompt: negativePrompt,
-        style: shouldConcatSDXLStylePrompt
-          ? `${negativePrompt} ${negativeStylePrompt}`
-          : negativeStylePrompt,
-      },
-      [SDXL_MODEL_LOADER]: {
-        type: 'sdxl_model_loader',
-        id: SDXL_MODEL_LOADER,
-        model,
+      [INPAINT]: {
+        type: 'denoise_latents',
+        id: INPAINT,
+        is_intermediate: true,
+        steps: steps,
+        cfg_scale: cfg_scale,
+        scheduler: scheduler,
+        denoising_start: 1 - strength,
+        denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
       },
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
@@ -208,6 +208,7 @@ export const buildCanvasSDXLOutpaintGraph = (
       },
     },
     edges: [
+      // Connect Model Loader To UNet and CLIP
       {
         source: {
           node_id: SDXL_MODEL_LOADER,
@@ -258,36 +259,7 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'clip2',
         },
       },
-      {
-        source: {
-          node_id: NEGATIVE_CONDITIONING,
-          field: 'conditioning',
-        },
-        destination: {
-          node_id: INPAINT,
-          field: 'negative_conditioning',
-        },
-      },
-      {
-        source: {
-          node_id: POSITIVE_CONDITIONING,
-          field: 'conditioning',
-        },
-        destination: {
-          node_id: INPAINT,
-          field: 'positive_conditioning',
-        },
-      },
-      {
-        source: {
-          node_id: NOISE,
-          field: 'noise',
-        },
-        destination: {
-          node_id: INPAINT,
-          field: 'noise',
-        },
-      },
+      // Infill The Image
       {
         source: {
           node_id: INPAINT_INFILL,
@@ -298,16 +270,7 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'image',
         },
       },
-      {
-        source: {
-          node_id: INPAINT_IMAGE,
-          field: 'latents',
-        },
-        destination: {
-          node_id: INPAINT,
-          field: 'latents',
-        },
-      },
+      // Create mask from image alpha & merge with user painted mask
       {
         source: {
           node_id: MASK_FROM_ALPHA,
@@ -328,6 +291,47 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'mask',
         },
       },
+      // Connect Everything To Inpaint
+      {
+        source: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'positive_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'negative_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: NOISE,
+          field: 'noise',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'noise',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_IMAGE,
+          field: 'latents',
+        },
+        destination: {
+          node_id: INPAINT,
+          field: 'latents',
+        },
+      },
       {
         source: {
           node_id: MASK_BLUR,
@@ -338,6 +342,7 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'mask',
         },
       },
+      // Iterate
       {
         source: {
           node_id: RANGE_OF_SIZE,
@@ -358,6 +363,7 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'seed',
         },
       },
+      // Decode inpainted latents to image
       {
         source: {
           node_id: INPAINT,
@@ -368,6 +374,7 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'latents',
         },
       },
+      // Color Correct The Inpainted Result
       {
         source: {
           node_id: INPAINT_INFILL,
@@ -378,16 +385,6 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'reference',
         },
       },
-      {
-        source: {
-          node_id: MASK_BLUR,
-          field: 'mask',
-        },
-        destination: {
-          node_id: COLOR_CORRECT,
-          field: 'mask',
-        },
-      },
       {
         source: {
           node_id: LATENTS_TO_IMAGE,
@@ -398,6 +395,17 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'image',
         },
       },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'mask',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'mask',
+        },
+      },
+      // Paste Back Outpainted Image on Original
       {
         source: {
           node_id: INPAINT_INFILL,
@@ -408,16 +416,6 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'base_image',
         },
       },
-      {
-        source: {
-          node_id: MASK_BLUR,
-          field: 'mask',
-        },
-        destination: {
-          node_id: INPAINT_FINAL_IMAGE,
-          field: 'mask',
-        },
-      },
       {
         source: {
           node_id: COLOR_CORRECT,
@@ -428,6 +426,16 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'image',
         },
       },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'mask',
+        },
+        destination: {
+          node_id: INPAINT_FINAL_IMAGE,
+          field: 'mask',
+        },
+      },
     ],
   };
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
index ed0fb74165..70375c1423 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
@@ -65,13 +65,17 @@ export const buildCanvasSDXLTextToImageGraph = (
   const use_cpu = shouldUseNoiseSettings
     ? shouldUseCpuNoise
     : initialGenerationState.shouldUseCpuNoise;
+
   const isUsingOnnxModel = model.model_type === 'onnx';
+
   const modelLoaderNodeId = isUsingOnnxModel
     ? ONNX_MODEL_LOADER
     : SDXL_MODEL_LOADER;
+
   const modelLoaderNodeType = isUsingOnnxModel
     ? 'onnx_model_loader'
     : 'sdxl_model_loader';
+
   const t2lNode: DenoiseLatentsInvocation | ONNXTextToLatentsInvocation =
     isUsingOnnxModel
       ? {
@@ -106,6 +110,12 @@ export const buildCanvasSDXLTextToImageGraph = (
   const graph: NonNullableGraph = {
     id: TEXT_TO_IMAGE_GRAPH,
     nodes: {
+      [modelLoaderNodeId]: {
+        type: modelLoaderNodeType,
+        id: modelLoaderNodeId,
+        is_intermediate: true,
+        model,
+      },
       [POSITIVE_CONDITIONING]: {
         type: isUsingOnnxModel ? 'prompt_onnx' : 'sdxl_compel_prompt',
         id: POSITIVE_CONDITIONING,
@@ -133,13 +143,6 @@ export const buildCanvasSDXLTextToImageGraph = (
         use_cpu,
       },
       [t2lNode.id]: t2lNode,
-      [modelLoaderNodeId]: {
-        type: modelLoaderNodeType,
-        id: modelLoaderNodeId,
-        is_intermediate: true,
-        model,
-      },
-
       [LATENTS_TO_IMAGE]: {
         type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i',
         id: LATENTS_TO_IMAGE,
@@ -147,6 +150,7 @@ export const buildCanvasSDXLTextToImageGraph = (
       },
     },
     edges: [
+      // Connect Model Loader to UNet and CLIP
       {
         source: {
           node_id: modelLoaderNodeId,
@@ -197,6 +201,17 @@ export const buildCanvasSDXLTextToImageGraph = (
           field: 'clip2',
         },
       },
+      // Connect everything to Denoise Latents
+      {
+        source: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: DENOISE_LATENTS,
+          field: 'positive_conditioning',
+        },
+      },
       {
         source: {
           node_id: NEGATIVE_CONDITIONING,
@@ -209,14 +224,15 @@ export const buildCanvasSDXLTextToImageGraph = (
       },
       {
         source: {
-          node_id: POSITIVE_CONDITIONING,
-          field: 'conditioning',
+          node_id: NOISE,
+          field: 'noise',
         },
         destination: {
           node_id: DENOISE_LATENTS,
-          field: 'positive_conditioning',
+          field: 'noise',
         },
       },
+      // Decode Denoised Latents To Image
       {
         source: {
           node_id: DENOISE_LATENTS,
@@ -227,16 +243,6 @@ export const buildCanvasSDXLTextToImageGraph = (
           field: 'latents',
         },
       },
-      {
-        source: {
-          node_id: NOISE,
-          field: 'noise',
-        },
-        destination: {
-          node_id: DENOISE_LATENTS,
-          field: 'noise',
-        },
-      },
     ],
   };
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
index 9e25f97586..519be4e498 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
@@ -57,13 +57,17 @@ export const buildCanvasTextToImageGraph = (
   const use_cpu = shouldUseNoiseSettings
     ? shouldUseCpuNoise
     : initialGenerationState.shouldUseCpuNoise;
+
   const isUsingOnnxModel = model.model_type === 'onnx';
+
   const modelLoaderNodeId = isUsingOnnxModel
     ? ONNX_MODEL_LOADER
     : MAIN_MODEL_LOADER;
+
   const modelLoaderNodeType = isUsingOnnxModel
     ? 'onnx_model_loader'
     : 'main_model_loader';
+
   const t2lNode: DenoiseLatentsInvocation | ONNXTextToLatentsInvocation =
     isUsingOnnxModel
       ? {
@@ -84,6 +88,7 @@ export const buildCanvasTextToImageGraph = (
           denoising_start: 0,
           denoising_end: 1,
         };
+
   /**
    * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
    * full graph here as a template. Then use the parameters from app state and set friendlier node
@@ -98,6 +103,18 @@ export const buildCanvasTextToImageGraph = (
   const graph: NonNullableGraph = {
     id: TEXT_TO_IMAGE_GRAPH,
     nodes: {
+      [modelLoaderNodeId]: {
+        type: modelLoaderNodeType,
+        id: modelLoaderNodeId,
+        is_intermediate: true,
+        model,
+      },
+      [CLIP_SKIP]: {
+        type: 'clip_skip',
+        id: CLIP_SKIP,
+        is_intermediate: true,
+        skipped_layers: clipSkip,
+      },
       [POSITIVE_CONDITIONING]: {
         type: isUsingOnnxModel ? 'prompt_onnx' : 'compel',
         id: POSITIVE_CONDITIONING,
@@ -119,18 +136,6 @@ export const buildCanvasTextToImageGraph = (
         use_cpu,
       },
       [t2lNode.id]: t2lNode,
-      [modelLoaderNodeId]: {
-        type: modelLoaderNodeType,
-        id: modelLoaderNodeId,
-        is_intermediate: true,
-        model,
-      },
-      [CLIP_SKIP]: {
-        type: 'clip_skip',
-        id: CLIP_SKIP,
-        is_intermediate: true,
-        skipped_layers: clipSkip,
-      },
       [LATENTS_TO_IMAGE]: {
         type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i',
         id: LATENTS_TO_IMAGE,
@@ -138,16 +143,49 @@ export const buildCanvasTextToImageGraph = (
       },
     },
     edges: [
+      // Connect Model Loader to UNet & CLIP Skip
       {
         source: {
-          node_id: NEGATIVE_CONDITIONING,
-          field: 'conditioning',
+          node_id: modelLoaderNodeId,
+          field: 'unet',
         },
         destination: {
           node_id: DENOISE_LATENTS,
-          field: 'negative_conditioning',
+          field: 'unet',
         },
       },
+      {
+        source: {
+          node_id: modelLoaderNodeId,
+          field: 'clip',
+        },
+        destination: {
+          node_id: CLIP_SKIP,
+          field: 'clip',
+        },
+      },
+      // Connect CLIP Skip to Conditioning
+      {
+        source: {
+          node_id: CLIP_SKIP,
+          field: 'clip',
+        },
+        destination: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'clip',
+        },
+      },
+      {
+        source: {
+          node_id: CLIP_SKIP,
+          field: 'clip',
+        },
+        destination: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'clip',
+        },
+      },
+      // Connect everything to Denoise Latents
       {
         source: {
           node_id: POSITIVE_CONDITIONING,
@@ -160,52 +198,12 @@ export const buildCanvasTextToImageGraph = (
       },
       {
         source: {
-          node_id: modelLoaderNodeId,
-          field: 'clip',
-        },
-        destination: {
-          node_id: CLIP_SKIP,
-          field: 'clip',
-        },
-      },
-      {
-        source: {
-          node_id: CLIP_SKIP,
-          field: 'clip',
-        },
-        destination: {
-          node_id: POSITIVE_CONDITIONING,
-          field: 'clip',
-        },
-      },
-      {
-        source: {
-          node_id: CLIP_SKIP,
-          field: 'clip',
-        },
-        destination: {
           node_id: NEGATIVE_CONDITIONING,
-          field: 'clip',
-        },
-      },
-      {
-        source: {
-          node_id: modelLoaderNodeId,
-          field: 'unet',
+          field: 'conditioning',
         },
         destination: {
           node_id: DENOISE_LATENTS,
-          field: 'unet',
-        },
-      },
-      {
-        source: {
-          node_id: DENOISE_LATENTS,
-          field: 'latents',
-        },
-        destination: {
-          node_id: LATENTS_TO_IMAGE,
-          field: 'latents',
+          field: 'negative_conditioning',
         },
       },
       {
@@ -218,6 +216,17 @@ export const buildCanvasTextToImageGraph = (
           field: 'noise',
         },
       },
+      // Decode denoised latents to image
+      {
+        source: {
+          node_id: DENOISE_LATENTS,
+          field: 'latents',
+        },
+        destination: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'latents',
+        },
+      },
     ],
   };
 
@@ -253,12 +262,12 @@ export const buildCanvasTextToImageGraph = (
     },
   });
 
-  // add LoRA support
-  addLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId);
-
   // optionally add custom VAE
   addVAEToGraph(state, graph, modelLoaderNodeId);
 
+  // add LoRA support
+  addLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId);
+
   // add dynamic prompts - also sets up core iteration and seed
   addDynamicPromptsToGraph(state, graph);
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
index 69d5227ea2..982a09357f 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
@@ -138,6 +138,7 @@ export const buildLinearImageToImageGraph = (
       },
     },
     edges: [
+      // Connect Model Loader to UNet and CLIP Skip
       {
         source: {
           node_id: MAIN_MODEL_LOADER,
@@ -158,6 +159,7 @@ export const buildLinearImageToImageGraph = (
           field: 'clip',
         },
       },
+      // Connect CLIP Skip to Conditioning
       {
         source: {
           node_id: CLIP_SKIP,
@@ -178,34 +180,15 @@ export const buildLinearImageToImageGraph = (
           field: 'clip',
         },
       },
+      // Connect everything to Denoise Latents
       {
         source: {
-          node_id: DENOISE_LATENTS,
-          field: 'latents',
-        },
-        destination: {
-          node_id: LATENTS_TO_IMAGE,
-          field: 'latents',
-        },
-      },
-      {
-        source: {
-          node_id: IMAGE_TO_LATENTS,
-          field: 'latents',
+          node_id: POSITIVE_CONDITIONING,
+          field: 'conditioning',
         },
         destination: {
           node_id: DENOISE_LATENTS,
-          field: 'latents',
-        },
-      },
-      {
-        source: {
-          node_id: NOISE,
-          field: 'noise',
-        },
-        destination: {
-          node_id: DENOISE_LATENTS,
-          field: 'noise',
+          field: 'positive_conditioning',
         },
       },
       {
@@ -220,12 +203,33 @@ export const buildLinearImageToImageGraph = (
       },
       {
         source: {
-          node_id: POSITIVE_CONDITIONING,
-          field: 'conditioning',
+          node_id: NOISE,
+          field: 'noise',
         },
         destination: {
           node_id: DENOISE_LATENTS,
-          field: 'positive_conditioning',
+          field: 'noise',
+        },
+      },
+      {
+        source: {
+          node_id: IMAGE_TO_LATENTS,
+          field: 'latents',
+        },
+        destination: {
+          node_id: DENOISE_LATENTS,
+          field: 'latents',
+        },
+      },
+      // Decode denoised latents to image
+      {
+        source: {
+          node_id: DENOISE_LATENTS,
+          field: 'latents',
+        },
+        destination: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'latents',
         },
       },
     ],
@@ -334,12 +338,12 @@ export const buildLinearImageToImageGraph = (
     },
   });
 
+  // optionally add custom VAE
+  addVAEToGraph(state, graph, MAIN_MODEL_LOADER);
+
   // add LoRA support
   addLoRAsToGraph(state, graph, DENOISE_LATENTS);
 
-  // optionally add custom VAE
-  addVAEToGraph(state, graph);
-
   // add dynamic prompts - also sets up core iteration and seed
   addDynamicPromptsToGraph(state, graph);
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index 98f9458ae0..901ca8c09f 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -137,6 +137,7 @@ export const buildLinearSDXLImageToImageGraph = (
       },
     },
     edges: [
+      // Connect Model Loader to UNet, CLIP & VAE
       {
         source: {
           node_id: SDXL_MODEL_LOADER,
@@ -207,36 +208,7 @@ export const buildLinearSDXLImageToImageGraph = (
           field: 'clip2',
         },
       },
-      {
-        source: {
-          node_id: DENOISE_LATENTS,
-          field: 'latents',
-        },
-        destination: {
-          node_id: LATENTS_TO_IMAGE,
-          field: 'latents',
-        },
-      },
-      {
-        source: {
-          node_id: IMAGE_TO_LATENTS,
-          field: 'latents',
-        },
-        destination: {
-          node_id: DENOISE_LATENTS,
-          field: 'latents',
-        },
-      },
-      {
-        source: {
-          node_id: NOISE,
-          field: 'noise',
-        },
-        destination: {
-          node_id: DENOISE_LATENTS,
-          field: 'noise',
-        },
-      },
+      // Connect everything to Denoise Latents
       {
         source: {
           node_id: POSITIVE_CONDITIONING,
@@ -257,6 +229,37 @@ export const buildLinearSDXLImageToImageGraph = (
           field: 'negative_conditioning',
         },
       },
+      {
+        source: {
+          node_id: NOISE,
+          field: 'noise',
+        },
+        destination: {
+          node_id: DENOISE_LATENTS,
+          field: 'noise',
+        },
+      },
+      {
+        source: {
+          node_id: IMAGE_TO_LATENTS,
+          field: 'latents',
+        },
+        destination: {
+          node_id: DENOISE_LATENTS,
+          field: 'latents',
+        },
+      },
+      // Decode Denoised Latents To Image
+      {
+        source: {
+          node_id: DENOISE_LATENTS,
+          field: 'latents',
+        },
+        destination: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'latents',
+        },
+      },
     ],
   };
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
index 566eb6536e..ac859597b3 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -111,6 +111,7 @@ export const buildLinearSDXLTextToImageGraph = (
       },
     },
     edges: [
+      // Connect Model Loader to UNet, VAE & CLIP
       {
         source: {
           node_id: SDXL_MODEL_LOADER,
@@ -171,6 +172,7 @@ export const buildLinearSDXLTextToImageGraph = (
           field: 'clip2',
         },
       },
+      // Connect everything to Denoise Latents
       {
         source: {
           node_id: POSITIVE_CONDITIONING,
@@ -201,6 +203,7 @@ export const buildLinearSDXLTextToImageGraph = (
           field: 'noise',
         },
       },
+      // Decode Denoised Latents To Image
       {
         source: {
           node_id: DENOISE_LATENTS,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
index dcbbe69290..99a1ec7420 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
@@ -54,12 +54,15 @@ export const buildLinearTextToImageGraph = (
   }
 
   const isUsingOnnxModel = model.model_type === 'onnx';
+
   const modelLoaderNodeId = isUsingOnnxModel
     ? ONNX_MODEL_LOADER
     : MAIN_MODEL_LOADER;
+
   const modelLoaderNodeType = isUsingOnnxModel
     ? 'onnx_model_loader'
     : 'main_model_loader';
+
   const t2lNode: DenoiseLatentsInvocation | ONNXTextToLatentsInvocation =
     isUsingOnnxModel
       ? {
@@ -80,6 +83,7 @@ export const buildLinearTextToImageGraph = (
           denoising_start: 0,
           denoising_end: 1,
         };
+
   /**
    * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
    * full graph here as a template. Then use the parameters from app state and set friendlier node
@@ -95,6 +99,18 @@ export const buildLinearTextToImageGraph = (
   const graph: NonNullableGraph = {
     id: TEXT_TO_IMAGE_GRAPH,
     nodes: {
+      [modelLoaderNodeId]: {
+        type: modelLoaderNodeType,
+        id: modelLoaderNodeId,
+        is_intermediate: true,
+        model,
+      },
+      [CLIP_SKIP]: {
+        type: 'clip_skip',
+        id: CLIP_SKIP,
+        skipped_layers: clipSkip,
+        is_intermediate: true,
+      },
       [POSITIVE_CONDITIONING]: {
         type: isUsingOnnxModel ? 'prompt_onnx' : 'compel',
         id: POSITIVE_CONDITIONING,
@@ -116,18 +132,6 @@ export const buildLinearTextToImageGraph = (
         is_intermediate: true,
       },
       [t2lNode.id]: t2lNode,
-      [modelLoaderNodeId]: {
-        type: modelLoaderNodeType,
-        id: modelLoaderNodeId,
-        is_intermediate: true,
-        model,
-      },
-      [CLIP_SKIP]: {
-        type: 'clip_skip',
-        id: CLIP_SKIP,
-        skipped_layers: clipSkip,
-        is_intermediate: true,
-      },
       [LATENTS_TO_IMAGE]: {
         type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i',
         id: LATENTS_TO_IMAGE,
@@ -135,16 +139,7 @@ export const buildLinearTextToImageGraph = (
       },
     },
     edges: [
-      {
-        source: {
-          node_id: modelLoaderNodeId,
-          field: 'clip',
-        },
-        destination: {
-          node_id: CLIP_SKIP,
-          field: 'clip',
-        },
-      },
+      // Connect Model Loader to UNet and CLIP Skip
       {
         source: {
           node_id: modelLoaderNodeId,
@@ -155,6 +150,17 @@ export const buildLinearTextToImageGraph = (
           field: 'unet',
         },
       },
+      {
+        source: {
+          node_id: modelLoaderNodeId,
+          field: 'clip',
+        },
+        destination: {
+          node_id: CLIP_SKIP,
+          field: 'clip',
+        },
+      },
+      // Connect CLIP Skip to Conditioning
       {
         source: {
           node_id: CLIP_SKIP,
@@ -175,6 +181,7 @@ export const buildLinearTextToImageGraph = (
           field: 'clip',
         },
       },
+      // Connect everything to Denoise Latents
       {
         source: {
           node_id: POSITIVE_CONDITIONING,
@@ -195,16 +202,6 @@ export const buildLinearTextToImageGraph = (
           field: 'negative_conditioning',
         },
       },
-      {
-        source: {
-          node_id: DENOISE_LATENTS,
-          field: 'latents',
-        },
-        destination: {
-          node_id: LATENTS_TO_IMAGE,
-          field: 'latents',
-        },
-      },
       {
         source: {
           node_id: NOISE,
@@ -215,6 +212,17 @@ export const buildLinearTextToImageGraph = (
           field: 'noise',
         },
       },
+      // Decode Denoised Latents To Image
+      {
+        source: {
+          node_id: DENOISE_LATENTS,
+          field: 'latents',
+        },
+        destination: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'latents',
+        },
+      },
     ],
   };
 
@@ -250,12 +258,12 @@ export const buildLinearTextToImageGraph = (
     },
   });
 
-  // add LoRA support
-  addLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId);
-
   // optionally add custom VAE
   addVAEToGraph(state, graph, modelLoaderNodeId);
 
+  // add LoRA support
+  addLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId);
+
   // add dynamic prompts - also sets up core iteration and seed
   addDynamicPromptsToGraph(state, graph);
 

From a67d8376c7cbbf75b527930ec2a1fd8e6ebff30e Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Fri, 11 Aug 2023 10:59:19 -0400
Subject: [PATCH 175/287] fix missed spot for autoAddBoardId none

---
 .../listenerMiddleware/listeners/stagingAreaImageSaved.ts       | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/stagingAreaImageSaved.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/stagingAreaImageSaved.ts
index a6818acbe0..b14e18ea63 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/stagingAreaImageSaved.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/stagingAreaImageSaved.ts
@@ -20,7 +20,7 @@ export const addStagingAreaImageSavedListener = () => {
         // we may need to add it to the autoadd board
         const { autoAddBoardId } = getState().gallery;
 
-        if (autoAddBoardId) {
+        if (autoAddBoardId && autoAddBoardId !== 'none') {
           await dispatch(
             imagesApi.endpoints.addImageToBoard.initiate({
               imageDTO: newImageDTO,

From f296e5c41e67a566176ff155a99f84d150e61ab5 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 12 Aug 2023 20:54:30 +1200
Subject: [PATCH 176/287] wip: Remove MaskBlur / Adjust color correction

---
 invokeai/app/invocations/image.py             | 49 +----------
 .../listeners/userInvokedCanvas.ts            |  3 +-
 .../graphBuilders/buildCanvasInpaintGraph.ts  | 19 +++--
 .../graphBuilders/buildCanvasOutpaintGraph.ts | 12 +--
 .../buildCanvasSDXLInpaintGraph.ts            | 19 +++--
 .../buildCanvasSDXLOutpaintGraph.ts           | 12 +--
 .../frontend/web/src/services/api/schema.d.ts | 83 +++++--------------
 7 files changed, 67 insertions(+), 130 deletions(-)

diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index 846812435d..2c47020207 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -697,8 +697,8 @@ class MaskCombineInvocation(BaseInvocation, PILInvocationConfig):
     type: Literal["mask_combine"] = "mask_combine"
 
     # Inputs
-    mask1: Optional[ImageField]  = Field(default=None, description="The first mask to combine")
-    mask2: Optional[ImageField]  = Field(default=None, description="The second image to combine")
+    mask1: ImageField  = Field(default=None, description="The first mask to combine")
+    mask2: ImageField  = Field(default=None, description="The second image to combine")
     # fmt: on
 
     class Config(InvocationConfig):
@@ -706,7 +706,7 @@ class MaskCombineInvocation(BaseInvocation, PILInvocationConfig):
             "ui": {"title": "Mask Combine", "tags": ["mask", "combine"]},
         }
 
-    def invoke(self, context: InvocationContext) -> MaskOutput:
+    def invoke(self, context: InvocationContext) -> ImageOutput:
         mask1 = context.services.images.get_pil_image(self.mask1.image_name).convert("L")
         mask2 = context.services.images.get_pil_image(self.mask2.image_name).convert("L")
 
@@ -721,48 +721,7 @@ class MaskCombineInvocation(BaseInvocation, PILInvocationConfig):
             is_intermediate=self.is_intermediate,
         )
 
-        return MaskOutput(
-            image=ImageField(image_name=image_dto.image_name),
-            width=image_dto.width,
-            height=image_dto.height,
-        )
-
-
-class MaskBlurInvocation(BaseInvocation, PILInvocationConfig):
-    """Blurs a mask"""
-
-    # fmt: off
-    type: Literal["mask_blur"] = "mask_blur"
-
-    # Inputs
-    mask: Optional[ImageField]  = Field(default=None, description="The mask image to blur")
-    radius:     float = Field(default=8.0, ge=0, description="The blur radius")
-    blur_type: Literal["gaussian", "box"] = Field(default="gaussian", description="The type of blur")
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Mask Blur", "tags": ["mask", "blur"]},
-        }
-
-    def invoke(self, context: InvocationContext) -> MaskOutput:
-        mask = context.services.images.get_pil_image(self.mask.image_name)
-
-        blur = (
-            ImageFilter.GaussianBlur(self.radius) if self.blur_type == "gaussian" else ImageFilter.BoxBlur(self.radius)
-        )
-        blur_mask = mask.filter(blur)
-
-        image_dto = context.services.images.create(
-            image=blur_mask,
-            image_origin=ResourceOrigin.INTERNAL,
-            image_category=ImageCategory.GENERAL,
-            node_id=self.id,
-            session_id=context.graph_execution_state_id,
-            is_intermediate=self.is_intermediate,
-        )
-
-        return MaskOutput(
+        return ImageOutput(
             image=ImageField(image_name=image_dto.image_name),
             width=image_dto.width,
             height=image_dto.height,
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts
index 39bd742d7d..dbcb87f3cf 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts
@@ -1,6 +1,7 @@
 import { logger } from 'app/logging/logger';
 import { userInvoked } from 'app/store/actions';
 import openBase64ImageInTab from 'common/util/openBase64ImageInTab';
+import { parseify } from 'common/util/serialize';
 import {
   canvasSessionIdChanged,
   stagingAreaInitialized,
@@ -15,7 +16,6 @@ import { imagesApi } from 'services/api/endpoints/images';
 import { sessionCreated } from 'services/api/thunks/session';
 import { ImageDTO } from 'services/api/types';
 import { startAppListening } from '..';
-import { parseify } from 'common/util/serialize';
 
 /**
  * This listener is responsible invoking the canvas. This involves a number of steps:
@@ -123,6 +123,7 @@ export const addUserInvokedCanvasListener = () => {
       log.debug({ graph: parseify(graph) }, `Canvas graph built`);
 
       // currently this action is just listened to for logging
+      console.log(canvasGraphBuilt(graph));
       dispatch(canvasGraphBuilt(graph));
 
       // Create the session, store the request id
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
index 2ecc858aa4..7e6ae2f474 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
@@ -105,12 +105,12 @@ export const buildCanvasInpaintGraph = (
         prompt: negativePrompt,
       },
       [MASK_BLUR]: {
-        type: 'mask_blur',
+        type: 'img_blur',
         id: MASK_BLUR,
         is_intermediate: true,
+        image: canvasMaskImage,
         radius: maskBlur,
         blur_type: maskBlurMethod,
-        mask: canvasMaskImage,
       },
       [INPAINT_IMAGE]: {
         type: 'i2l',
@@ -148,7 +148,6 @@ export const buildCanvasInpaintGraph = (
         id: COLOR_CORRECT,
         is_intermediate: true,
         reference: canvasInitImage,
-        mask: canvasMaskImage,
       },
       [INPAINT_FINAL_IMAGE]: {
         type: 'img_paste',
@@ -258,7 +257,7 @@ export const buildCanvasInpaintGraph = (
       {
         source: {
           node_id: MASK_BLUR,
-          field: 'mask',
+          field: 'image',
         },
         destination: {
           node_id: INPAINT,
@@ -308,6 +307,16 @@ export const buildCanvasInpaintGraph = (
           field: 'image',
         },
       },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'mask',
+        },
+      },
       // Paste Back Onto Original Image
       {
         source: {
@@ -322,7 +331,7 @@ export const buildCanvasInpaintGraph = (
       {
         source: {
           node_id: MASK_BLUR,
-          field: 'mask',
+          field: 'image',
         },
         destination: {
           node_id: INPAINT_FINAL_IMAGE,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
index 7949adfe39..2513144871 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
@@ -141,7 +141,7 @@ export const buildCanvasOutpaintGraph = (
         mask2: canvasMaskImage,
       },
       [MASK_BLUR]: {
-        type: 'mask_blur',
+        type: 'img_blur',
         id: MASK_BLUR,
         is_intermediate: true,
         radius: maskBlur,
@@ -271,11 +271,11 @@ export const buildCanvasOutpaintGraph = (
       {
         source: {
           node_id: MASK_COMBINE,
-          field: 'mask',
+          field: 'image',
         },
         destination: {
           node_id: MASK_BLUR,
-          field: 'mask',
+          field: 'image',
         },
       },
       // Plug Everything Into Inpaint Node
@@ -322,7 +322,7 @@ export const buildCanvasOutpaintGraph = (
       {
         source: {
           node_id: MASK_BLUR,
-          field: 'mask',
+          field: 'image',
         },
         destination: {
           node_id: INPAINT,
@@ -385,7 +385,7 @@ export const buildCanvasOutpaintGraph = (
       {
         source: {
           node_id: MASK_BLUR,
-          field: 'mask',
+          field: 'image',
         },
         destination: {
           node_id: COLOR_CORRECT,
@@ -416,7 +416,7 @@ export const buildCanvasOutpaintGraph = (
       {
         source: {
           node_id: MASK_BLUR,
-          field: 'mask',
+          field: 'image',
         },
         destination: {
           node_id: INPAINT_FINAL_IMAGE,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
index 52a159fb3a..066f049e57 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
@@ -109,12 +109,12 @@ export const buildCanvasSDXLInpaintGraph = (
           : negativeStylePrompt,
       },
       [MASK_BLUR]: {
-        type: 'mask_blur',
+        type: 'img_blur',
         id: MASK_BLUR,
         is_intermediate: true,
         radius: maskBlur,
         blur_type: maskBlurMethod,
-        mask: canvasMaskImage,
+        image: canvasMaskImage,
       },
       [INPAINT_IMAGE]: {
         type: 'i2l',
@@ -152,7 +152,6 @@ export const buildCanvasSDXLInpaintGraph = (
         id: COLOR_CORRECT,
         is_intermediate: true,
         reference: canvasInitImage,
-        mask: canvasMaskImage,
       },
       [INPAINT_FINAL_IMAGE]: {
         type: 'img_paste',
@@ -271,7 +270,7 @@ export const buildCanvasSDXLInpaintGraph = (
       {
         source: {
           node_id: MASK_BLUR,
-          field: 'mask',
+          field: 'image',
         },
         destination: {
           node_id: INPAINT,
@@ -321,6 +320,16 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'image',
         },
       },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'mask',
+        },
+      },
       // Paste them back on original image
       {
         source: {
@@ -335,7 +344,7 @@ export const buildCanvasSDXLInpaintGraph = (
       {
         source: {
           node_id: MASK_BLUR,
-          field: 'mask',
+          field: 'image',
         },
         destination: {
           node_id: INPAINT_FINAL_IMAGE,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index 3ed12cd935..4d0a6feb55 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -152,7 +152,7 @@ export const buildCanvasSDXLOutpaintGraph = (
         mask2: canvasMaskImage,
       },
       [MASK_BLUR]: {
-        type: 'mask_blur',
+        type: 'img_blur',
         id: MASK_BLUR,
         is_intermediate: true,
         radius: maskBlur,
@@ -284,11 +284,11 @@ export const buildCanvasSDXLOutpaintGraph = (
       {
         source: {
           node_id: MASK_COMBINE,
-          field: 'mask',
+          field: 'image',
         },
         destination: {
           node_id: MASK_BLUR,
-          field: 'mask',
+          field: 'image',
         },
       },
       // Connect Everything To Inpaint
@@ -335,7 +335,7 @@ export const buildCanvasSDXLOutpaintGraph = (
       {
         source: {
           node_id: MASK_BLUR,
-          field: 'mask',
+          field: 'image',
         },
         destination: {
           node_id: INPAINT,
@@ -398,7 +398,7 @@ export const buildCanvasSDXLOutpaintGraph = (
       {
         source: {
           node_id: MASK_BLUR,
-          field: 'mask',
+          field: 'image',
         },
         destination: {
           node_id: COLOR_CORRECT,
@@ -429,7 +429,7 @@ export const buildCanvasSDXLOutpaintGraph = (
       {
         source: {
           node_id: MASK_BLUR,
-          field: 'mask',
+          field: 'image',
         },
         destination: {
           node_id: INPAINT_FINAL_IMAGE,
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 84053db29c..a2076557b8 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -1586,7 +1586,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["MaskBlurInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
+        [key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
       };
       /**
        * Edges 
@@ -3273,47 +3273,6 @@ export type components = {
        */
       model: components["schemas"]["MainModelField"];
     };
-    /**
-     * MaskBlurInvocation 
-     * @description Blurs a mask
-     */
-    MaskBlurInvocation: {
-      /**
-       * Id 
-       * @description The id of this node. Must be unique among all nodes.
-       */
-      id: string;
-      /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
-       * @default false
-       */
-      is_intermediate?: boolean;
-      /**
-       * Type 
-       * @default mask_blur 
-       * @enum {string}
-       */
-      type?: "mask_blur";
-      /**
-       * Mask 
-       * @description The mask image to blur
-       */
-      mask?: components["schemas"]["ImageField"];
-      /**
-       * Radius 
-       * @description The blur radius 
-       * @default 8
-       */
-      radius?: number;
-      /**
-       * Blur Type 
-       * @description The type of blur 
-       * @default gaussian 
-       * @enum {string}
-       */
-      blur_type?: "gaussian" | "box";
-    };
     /**
      * MaskCombineInvocation 
      * @description Combine two masks together by multiplying them using `PIL.ImageChops.multiply()`.
@@ -5821,6 +5780,24 @@ export type components = {
        */
       image?: components["schemas"]["ImageField"];
     };
+    /**
+     * StableDiffusionOnnxModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusionOnnxModelFormat: "olive" | "onnx";
+    /**
+     * StableDiffusion2ModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * ControlNetModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    ControlNetModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusion1ModelFormat 
      * @description An enumeration. 
@@ -5833,24 +5810,6 @@ export type components = {
      * @enum {string}
      */
     StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusionOnnxModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusionOnnxModelFormat: "olive" | "onnx";
-    /**
-     * ControlNetModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusion2ModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -5961,7 +5920,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["MaskBlurInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -5998,7 +5957,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["MaskBlurInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {

From 27bd127fb0ec793a6ca8b81ad38060d4901976cf Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 12 Aug 2023 21:10:30 +1200
Subject: [PATCH 177/287] fix: Do not add anything but final output to staging
 area

---
 .../listeners/socketio/socketInvocationComplete.ts           | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
index 30e0bedb54..a5e22de6e4 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
@@ -7,6 +7,7 @@ import {
   imageSelected,
 } from 'features/gallery/store/gallerySlice';
 import { IMAGE_CATEGORIES } from 'features/gallery/store/types';
+import { INPAINT_FINAL_IMAGE } from 'features/nodes/util/graphBuilders/constants';
 import { progressImageSet } from 'features/system/store/systemSlice';
 import { imagesApi } from 'services/api/endpoints/images';
 import { isImageOutput } from 'services/api/guards';
@@ -52,7 +53,9 @@ export const addInvocationCompleteEventListener = () => {
 
         // Add canvas images to the staging area
         if (
-          graph_execution_state_id === canvas.layerState.stagingArea.sessionId
+          graph_execution_state_id ===
+            canvas.layerState.stagingArea.sessionId &&
+          data.source_node_id === INPAINT_FINAL_IMAGE
         ) {
           dispatch(addImageToStagingArea(imageDTO));
         }

From ad96c4115673fcb88de17a779ac73b18887fc558 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 12 Aug 2023 22:04:43 +1200
Subject: [PATCH 178/287] feat: Add Canvas Output node to all Canvas Graphs

---
 .../socketio/socketInvocationComplete.ts         |  4 ++--
 .../buildCanvasImageToImageGraph.ts              | 16 ++++++++++++++++
 .../graphBuilders/buildCanvasInpaintGraph.ts     | 10 +++++-----
 .../graphBuilders/buildCanvasOutpaintGraph.ts    | 12 ++++++------
 .../buildCanvasSDXLImageToImageGraph.ts          | 16 ++++++++++++++++
 .../graphBuilders/buildCanvasSDXLInpaintGraph.ts | 10 +++++-----
 .../buildCanvasSDXLOutpaintGraph.ts              | 12 ++++++------
 .../buildCanvasSDXLTextToImageGraph.ts           | 16 ++++++++++++++++
 .../graphBuilders/buildCanvasTextToImageGraph.ts | 16 ++++++++++++++++
 .../nodes/util/graphBuilders/constants.ts        |  1 +
 10 files changed, 89 insertions(+), 24 deletions(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
index a5e22de6e4..5b3b9424b6 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
@@ -7,7 +7,7 @@ import {
   imageSelected,
 } from 'features/gallery/store/gallerySlice';
 import { IMAGE_CATEGORIES } from 'features/gallery/store/types';
-import { INPAINT_FINAL_IMAGE } from 'features/nodes/util/graphBuilders/constants';
+import { CANVAS_OUTPUT } from 'features/nodes/util/graphBuilders/constants';
 import { progressImageSet } from 'features/system/store/systemSlice';
 import { imagesApi } from 'services/api/endpoints/images';
 import { isImageOutput } from 'services/api/guards';
@@ -55,7 +55,7 @@ export const addInvocationCompleteEventListener = () => {
         if (
           graph_execution_state_id ===
             canvas.layerState.stagingArea.sessionId &&
-          data.source_node_id === INPAINT_FINAL_IMAGE
+          [CANVAS_OUTPUT].includes(data.source_node_id)
         ) {
           dispatch(addImageToStagingArea(imageDTO));
         }
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
index a4cd3b2add..e8a5b46639 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
@@ -14,6 +14,7 @@ import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
+  CANVAS_OUTPUT,
   CLIP_SKIP,
   DENOISE_LATENTS,
   IMAGE_TO_IMAGE_GRAPH,
@@ -129,6 +130,10 @@ export const buildCanvasImageToImageGraph = (
         id: LATENTS_TO_IMAGE,
         is_intermediate: !shouldAutoSave,
       },
+      [CANVAS_OUTPUT]: {
+        type: 'load_image',
+        id: CANVAS_OUTPUT,
+      },
     },
     edges: [
       // Connect Model Loader to CLIP Skip and UNet
@@ -225,6 +230,17 @@ export const buildCanvasImageToImageGraph = (
           field: 'latents',
         },
       },
+      // Canvas Output
+      {
+        source: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: CANVAS_OUTPUT,
+          field: 'image',
+        },
+      },
     ],
   };
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
index 7e6ae2f474..6ecb73b992 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
@@ -12,10 +12,10 @@ import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
+  CANVAS_OUTPUT,
   CLIP_SKIP,
   COLOR_CORRECT,
   INPAINT,
-  INPAINT_FINAL_IMAGE,
   INPAINT_GRAPH,
   INPAINT_IMAGE,
   ITERATE,
@@ -149,9 +149,9 @@ export const buildCanvasInpaintGraph = (
         is_intermediate: true,
         reference: canvasInitImage,
       },
-      [INPAINT_FINAL_IMAGE]: {
+      [CANVAS_OUTPUT]: {
         type: 'img_paste',
-        id: INPAINT_FINAL_IMAGE,
+        id: CANVAS_OUTPUT,
         is_intermediate: true,
         base_image: canvasInitImage,
       },
@@ -324,7 +324,7 @@ export const buildCanvasInpaintGraph = (
           field: 'image',
         },
         destination: {
-          node_id: INPAINT_FINAL_IMAGE,
+          node_id: CANVAS_OUTPUT,
           field: 'image',
         },
       },
@@ -334,7 +334,7 @@ export const buildCanvasInpaintGraph = (
           field: 'image',
         },
         destination: {
-          node_id: INPAINT_FINAL_IMAGE,
+          node_id: CANVAS_OUTPUT,
           field: 'mask',
         },
       },
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
index 2513144871..2ed0cc952a 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
@@ -14,10 +14,10 @@ import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
+  CANVAS_OUTPUT,
   CLIP_SKIP,
   COLOR_CORRECT,
   INPAINT,
-  INPAINT_FINAL_IMAGE,
   INPAINT_GRAPH,
   INPAINT_IMAGE,
   INPAINT_INFILL,
@@ -183,9 +183,9 @@ export const buildCanvasOutpaintGraph = (
         id: COLOR_CORRECT,
         is_intermediate: true,
       },
-      [INPAINT_FINAL_IMAGE]: {
+      [CANVAS_OUTPUT]: {
         type: 'img_paste',
-        id: INPAINT_FINAL_IMAGE,
+        id: CANVAS_OUTPUT,
         is_intermediate: true,
       },
       [RANGE_OF_SIZE]: {
@@ -399,7 +399,7 @@ export const buildCanvasOutpaintGraph = (
           field: 'image',
         },
         destination: {
-          node_id: INPAINT_FINAL_IMAGE,
+          node_id: CANVAS_OUTPUT,
           field: 'base_image',
         },
       },
@@ -409,7 +409,7 @@ export const buildCanvasOutpaintGraph = (
           field: 'image',
         },
         destination: {
-          node_id: INPAINT_FINAL_IMAGE,
+          node_id: CANVAS_OUTPUT,
           field: 'image',
         },
       },
@@ -419,7 +419,7 @@ export const buildCanvasOutpaintGraph = (
           field: 'image',
         },
         destination: {
-          node_id: INPAINT_FINAL_IMAGE,
+          node_id: CANVAS_OUTPUT,
           field: 'mask',
         },
       },
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
index 80f3d671c9..5b198e0bc3 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
@@ -15,6 +15,7 @@ import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
+  CANVAS_OUTPUT,
   DENOISE_LATENTS,
   IMAGE_TO_IMAGE_GRAPH,
   IMAGE_TO_LATENTS,
@@ -136,6 +137,10 @@ export const buildCanvasSDXLImageToImageGraph = (
         id: LATENTS_TO_IMAGE,
         is_intermediate: !shouldAutoSave,
       },
+      [CANVAS_OUTPUT]: {
+        type: 'load_image',
+        id: CANVAS_OUTPUT,
+      },
     },
     edges: [
       // Connect Model Loader To UNet & CLIP
@@ -241,6 +246,17 @@ export const buildCanvasSDXLImageToImageGraph = (
           field: 'latents',
         },
       },
+      // Canvas Output
+      {
+        source: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: CANVAS_OUTPUT,
+          field: 'image',
+        },
+      },
     ],
   };
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
index 066f049e57..a8e190bcd1 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
@@ -13,9 +13,9 @@ import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
+  CANVAS_OUTPUT,
   COLOR_CORRECT,
   INPAINT,
-  INPAINT_FINAL_IMAGE,
   INPAINT_GRAPH,
   INPAINT_IMAGE,
   ITERATE,
@@ -153,9 +153,9 @@ export const buildCanvasSDXLInpaintGraph = (
         is_intermediate: true,
         reference: canvasInitImage,
       },
-      [INPAINT_FINAL_IMAGE]: {
+      [CANVAS_OUTPUT]: {
         type: 'img_paste',
-        id: INPAINT_FINAL_IMAGE,
+        id: CANVAS_OUTPUT,
         is_intermediate: true,
         base_image: canvasInitImage,
       },
@@ -337,7 +337,7 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'image',
         },
         destination: {
-          node_id: INPAINT_FINAL_IMAGE,
+          node_id: CANVAS_OUTPUT,
           field: 'image',
         },
       },
@@ -347,7 +347,7 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'image',
         },
         destination: {
-          node_id: INPAINT_FINAL_IMAGE,
+          node_id: CANVAS_OUTPUT,
           field: 'mask',
         },
       },
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index 4d0a6feb55..da7eb6b6d3 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -15,9 +15,9 @@ import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
+  CANVAS_OUTPUT,
   COLOR_CORRECT,
   INPAINT,
-  INPAINT_FINAL_IMAGE,
   INPAINT_GRAPH,
   INPAINT_IMAGE,
   INPAINT_INFILL,
@@ -187,9 +187,9 @@ export const buildCanvasSDXLOutpaintGraph = (
         id: COLOR_CORRECT,
         is_intermediate: true,
       },
-      [INPAINT_FINAL_IMAGE]: {
+      [CANVAS_OUTPUT]: {
         type: 'img_paste',
-        id: INPAINT_FINAL_IMAGE,
+        id: CANVAS_OUTPUT,
         is_intermediate: true,
       },
       [RANGE_OF_SIZE]: {
@@ -412,7 +412,7 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'image',
         },
         destination: {
-          node_id: INPAINT_FINAL_IMAGE,
+          node_id: CANVAS_OUTPUT,
           field: 'base_image',
         },
       },
@@ -422,7 +422,7 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'image',
         },
         destination: {
-          node_id: INPAINT_FINAL_IMAGE,
+          node_id: CANVAS_OUTPUT,
           field: 'image',
         },
       },
@@ -432,7 +432,7 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'image',
         },
         destination: {
-          node_id: INPAINT_FINAL_IMAGE,
+          node_id: CANVAS_OUTPUT,
           field: 'mask',
         },
       },
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
index 70375c1423..391cccd7a9 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
@@ -14,6 +14,7 @@ import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
+  CANVAS_OUTPUT,
   DENOISE_LATENTS,
   LATENTS_TO_IMAGE,
   METADATA_ACCUMULATOR,
@@ -148,6 +149,10 @@ export const buildCanvasSDXLTextToImageGraph = (
         id: LATENTS_TO_IMAGE,
         is_intermediate: !shouldAutoSave,
       },
+      [CANVAS_OUTPUT]: {
+        type: 'load_image',
+        id: CANVAS_OUTPUT,
+      },
     },
     edges: [
       // Connect Model Loader to UNet and CLIP
@@ -243,6 +248,17 @@ export const buildCanvasSDXLTextToImageGraph = (
           field: 'latents',
         },
       },
+      // Canvas Output
+      {
+        source: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: CANVAS_OUTPUT,
+          field: 'image',
+        },
+      },
     ],
   };
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
index 519be4e498..6301ad6c9f 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
@@ -13,6 +13,7 @@ import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
+  CANVAS_OUTPUT,
   CLIP_SKIP,
   DENOISE_LATENTS,
   LATENTS_TO_IMAGE,
@@ -141,6 +142,10 @@ export const buildCanvasTextToImageGraph = (
         id: LATENTS_TO_IMAGE,
         is_intermediate: !shouldAutoSave,
       },
+      [CANVAS_OUTPUT]: {
+        type: 'load_image',
+        id: CANVAS_OUTPUT,
+      },
     },
     edges: [
       // Connect Model Loader to UNet & CLIP Skip
@@ -227,6 +232,17 @@ export const buildCanvasTextToImageGraph = (
           field: 'latents',
         },
       },
+      // Canvas Output
+      {
+        source: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: CANVAS_OUTPUT,
+          field: 'image',
+        },
+      },
     ],
   };
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index 076c92eb76..24bf1b404d 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -17,6 +17,7 @@ export const CLIP_SKIP = 'clip_skip';
 export const IMAGE_TO_LATENTS = 'image_to_latents';
 export const LATENTS_TO_LATENTS = 'latents_to_latents';
 export const RESIZE = 'resize_image';
+export const CANVAS_OUTPUT = 'canvas_output';
 export const INPAINT = 'inpaint';
 export const INPAINT_SEAM_FIX = 'inpaint_seam_fix';
 export const INPAINT_IMAGE = 'inpaint_image';

From 746c7c59ffd943f2dffc8a12da20388e3c6213cf Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sat, 12 Aug 2023 22:39:30 +1200
Subject: [PATCH 179/287] fix: remove extra node for canvas output catch

---
 .../nodes/util/graphBuilders/addVAEToGraph.ts | 21 ++++++++++----
 .../buildCanvasImageToImageGraph.ts           | 28 ++++---------------
 .../graphBuilders/buildCanvasInpaintGraph.ts  |  4 +--
 .../graphBuilders/buildCanvasOutpaintGraph.ts |  4 +--
 .../buildCanvasSDXLImageToImageGraph.ts       | 19 +++++--------
 .../buildCanvasSDXLInpaintGraph.ts            |  4 +--
 .../buildCanvasSDXLOutpaintGraph.ts           |  4 +--
 .../buildCanvasSDXLTextToImageGraph.ts        | 28 ++++---------------
 .../buildCanvasTextToImageGraph.ts            | 28 ++++---------------
 9 files changed, 49 insertions(+), 91 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts
index 85e8fed572..384eae8c38 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts
@@ -2,6 +2,7 @@ import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
 import { MetadataAccumulatorInvocation } from 'services/api/types';
 import {
+  CANVAS_OUTPUT,
   IMAGE_TO_IMAGE_GRAPH,
   IMAGE_TO_LATENTS,
   INPAINT_GRAPH,
@@ -35,11 +36,21 @@ export const addVAEToGraph = (
     };
   }
   const isOnnxModel = modelLoaderNodeId == ONNX_MODEL_LOADER;
-  if (
-    graph.id === TEXT_TO_IMAGE_GRAPH ||
-    graph.id === IMAGE_TO_IMAGE_GRAPH ||
-    graph.id === INPAINT_GRAPH
-  ) {
+
+  if (graph.id === TEXT_TO_IMAGE_GRAPH || graph.id === IMAGE_TO_IMAGE_GRAPH) {
+    graph.edges.push({
+      source: {
+        node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
+        field: isAutoVae && isOnnxModel ? 'vae_decoder' : 'vae',
+      },
+      destination: {
+        node_id: CANVAS_OUTPUT,
+        field: 'vae',
+      },
+    });
+  }
+
+  if (graph.id === INPAINT_GRAPH) {
     graph.edges.push({
       source: {
         node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
index e8a5b46639..04636a19b7 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
@@ -19,7 +19,6 @@ import {
   DENOISE_LATENTS,
   IMAGE_TO_IMAGE_GRAPH,
   IMAGE_TO_LATENTS,
-  LATENTS_TO_IMAGE,
   MAIN_MODEL_LOADER,
   METADATA_ACCUMULATOR,
   NEGATIVE_CONDITIONING,
@@ -125,14 +124,10 @@ export const buildCanvasImageToImageGraph = (
         denoising_start: 1 - strength,
         denoising_end: 1,
       },
-      [LATENTS_TO_IMAGE]: {
-        type: 'l2i',
-        id: LATENTS_TO_IMAGE,
-        is_intermediate: !shouldAutoSave,
-      },
       [CANVAS_OUTPUT]: {
-        type: 'load_image',
+        type: 'l2i',
         id: CANVAS_OUTPUT,
+        is_intermediate: !shouldAutoSave,
       },
     },
     edges: [
@@ -225,20 +220,9 @@ export const buildCanvasImageToImageGraph = (
           node_id: DENOISE_LATENTS,
           field: 'latents',
         },
-        destination: {
-          node_id: LATENTS_TO_IMAGE,
-          field: 'latents',
-        },
-      },
-      // Canvas Output
-      {
-        source: {
-          node_id: LATENTS_TO_IMAGE,
-          field: 'image',
-        },
         destination: {
           node_id: CANVAS_OUTPUT,
-          field: 'image',
+          field: 'latents',
         },
       },
     ],
@@ -339,7 +323,7 @@ export const buildCanvasImageToImageGraph = (
       field: 'metadata',
     },
     destination: {
-      node_id: LATENTS_TO_IMAGE,
+      node_id: CANVAS_OUTPUT,
       field: 'metadata',
     },
   });
@@ -359,12 +343,12 @@ export const buildCanvasImageToImageGraph = (
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
-    addNSFWCheckerToGraph(state, graph);
+    addNSFWCheckerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
   if (state.system.shouldUseWatermarker) {
     // must add after nsfw checker!
-    addWatermarkerToGraph(state, graph);
+    addWatermarkerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
   return graph;
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
index 6ecb73b992..a1e5c27083 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
@@ -373,12 +373,12 @@ export const buildCanvasInpaintGraph = (
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
-    addNSFWCheckerToGraph(state, graph, INPAINT);
+    addNSFWCheckerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
   if (state.system.shouldUseWatermarker) {
     // must add after nsfw checker!
-    addWatermarkerToGraph(state, graph, INPAINT);
+    addWatermarkerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
   return graph;
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
index 2ed0cc952a..3f4737134a 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
@@ -458,12 +458,12 @@ export const buildCanvasOutpaintGraph = (
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
-    addNSFWCheckerToGraph(state, graph, INPAINT);
+    addNSFWCheckerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
   if (state.system.shouldUseWatermarker) {
     // must add after nsfw checker!
-    addWatermarkerToGraph(state, graph, INPAINT);
+    addWatermarkerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
   return graph;
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
index 5b198e0bc3..f81bd8376b 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
@@ -19,7 +19,6 @@ import {
   DENOISE_LATENTS,
   IMAGE_TO_IMAGE_GRAPH,
   IMAGE_TO_LATENTS,
-  LATENTS_TO_IMAGE,
   METADATA_ACCUMULATOR,
   NEGATIVE_CONDITIONING,
   NOISE,
@@ -132,14 +131,10 @@ export const buildCanvasSDXLImageToImageGraph = (
           : 1 - strength,
         denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
       },
-      [LATENTS_TO_IMAGE]: {
-        type: 'l2i',
-        id: LATENTS_TO_IMAGE,
-        is_intermediate: !shouldAutoSave,
-      },
       [CANVAS_OUTPUT]: {
-        type: 'load_image',
+        type: 'l2i',
         id: CANVAS_OUTPUT,
+        is_intermediate: !shouldAutoSave,
       },
     },
     edges: [
@@ -242,14 +237,14 @@ export const buildCanvasSDXLImageToImageGraph = (
           field: 'latents',
         },
         destination: {
-          node_id: LATENTS_TO_IMAGE,
+          node_id: CANVAS_OUTPUT,
           field: 'latents',
         },
       },
       // Canvas Output
       {
         source: {
-          node_id: LATENTS_TO_IMAGE,
+          node_id: CANVAS_OUTPUT,
           field: 'image',
         },
         destination: {
@@ -355,7 +350,7 @@ export const buildCanvasSDXLImageToImageGraph = (
       field: 'metadata',
     },
     destination: {
-      node_id: LATENTS_TO_IMAGE,
+      node_id: CANVAS_OUTPUT,
       field: 'metadata',
     },
   });
@@ -380,12 +375,12 @@ export const buildCanvasSDXLImageToImageGraph = (
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
-    addNSFWCheckerToGraph(state, graph);
+    addNSFWCheckerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
   if (state.system.shouldUseWatermarker) {
     // must add after nsfw checker!
-    addWatermarkerToGraph(state, graph);
+    addWatermarkerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
   return graph;
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
index a8e190bcd1..091778a569 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
@@ -391,12 +391,12 @@ export const buildCanvasSDXLInpaintGraph = (
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
-    addNSFWCheckerToGraph(state, graph, INPAINT);
+    addNSFWCheckerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
   if (state.system.shouldUseWatermarker) {
     // must add after nsfw checker!
-    addWatermarkerToGraph(state, graph, INPAINT);
+    addWatermarkerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
   return graph;
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index da7eb6b6d3..5db564ba6c 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -476,12 +476,12 @@ export const buildCanvasSDXLOutpaintGraph = (
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
-    addNSFWCheckerToGraph(state, graph, INPAINT);
+    addNSFWCheckerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
   if (state.system.shouldUseWatermarker) {
     // must add after nsfw checker!
-    addWatermarkerToGraph(state, graph, INPAINT);
+    addWatermarkerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
   return graph;
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
index 391cccd7a9..f1559ace5c 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
@@ -16,7 +16,6 @@ import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
   CANVAS_OUTPUT,
   DENOISE_LATENTS,
-  LATENTS_TO_IMAGE,
   METADATA_ACCUMULATOR,
   NEGATIVE_CONDITIONING,
   NOISE,
@@ -144,14 +143,10 @@ export const buildCanvasSDXLTextToImageGraph = (
         use_cpu,
       },
       [t2lNode.id]: t2lNode,
-      [LATENTS_TO_IMAGE]: {
-        type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i',
-        id: LATENTS_TO_IMAGE,
-        is_intermediate: !shouldAutoSave,
-      },
       [CANVAS_OUTPUT]: {
-        type: 'load_image',
+        type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i',
         id: CANVAS_OUTPUT,
+        is_intermediate: !shouldAutoSave,
       },
     },
     edges: [
@@ -243,20 +238,9 @@ export const buildCanvasSDXLTextToImageGraph = (
           node_id: DENOISE_LATENTS,
           field: 'latents',
         },
-        destination: {
-          node_id: LATENTS_TO_IMAGE,
-          field: 'latents',
-        },
-      },
-      // Canvas Output
-      {
-        source: {
-          node_id: LATENTS_TO_IMAGE,
-          field: 'image',
-        },
         destination: {
           node_id: CANVAS_OUTPUT,
-          field: 'image',
+          field: 'latents',
         },
       },
     ],
@@ -289,7 +273,7 @@ export const buildCanvasSDXLTextToImageGraph = (
       field: 'metadata',
     },
     destination: {
-      node_id: LATENTS_TO_IMAGE,
+      node_id: CANVAS_OUTPUT,
       field: 'metadata',
     },
   });
@@ -314,12 +298,12 @@ export const buildCanvasSDXLTextToImageGraph = (
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
-    addNSFWCheckerToGraph(state, graph);
+    addNSFWCheckerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
   if (state.system.shouldUseWatermarker) {
     // must add after nsfw checker!
-    addWatermarkerToGraph(state, graph);
+    addWatermarkerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
   return graph;
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
index 6301ad6c9f..8d25f13a47 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
@@ -16,7 +16,6 @@ import {
   CANVAS_OUTPUT,
   CLIP_SKIP,
   DENOISE_LATENTS,
-  LATENTS_TO_IMAGE,
   MAIN_MODEL_LOADER,
   METADATA_ACCUMULATOR,
   NEGATIVE_CONDITIONING,
@@ -137,14 +136,10 @@ export const buildCanvasTextToImageGraph = (
         use_cpu,
       },
       [t2lNode.id]: t2lNode,
-      [LATENTS_TO_IMAGE]: {
-        type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i',
-        id: LATENTS_TO_IMAGE,
-        is_intermediate: !shouldAutoSave,
-      },
       [CANVAS_OUTPUT]: {
-        type: 'load_image',
+        type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i',
         id: CANVAS_OUTPUT,
+        is_intermediate: !shouldAutoSave,
       },
     },
     edges: [
@@ -227,20 +222,9 @@ export const buildCanvasTextToImageGraph = (
           node_id: DENOISE_LATENTS,
           field: 'latents',
         },
-        destination: {
-          node_id: LATENTS_TO_IMAGE,
-          field: 'latents',
-        },
-      },
-      // Canvas Output
-      {
-        source: {
-          node_id: LATENTS_TO_IMAGE,
-          field: 'image',
-        },
         destination: {
           node_id: CANVAS_OUTPUT,
-          field: 'image',
+          field: 'latents',
         },
       },
     ],
@@ -273,7 +257,7 @@ export const buildCanvasTextToImageGraph = (
       field: 'metadata',
     },
     destination: {
-      node_id: LATENTS_TO_IMAGE,
+      node_id: CANVAS_OUTPUT,
       field: 'metadata',
     },
   });
@@ -293,12 +277,12 @@ export const buildCanvasTextToImageGraph = (
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
     // must add before watermarker!
-    addNSFWCheckerToGraph(state, graph);
+    addNSFWCheckerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
   if (state.system.shouldUseWatermarker) {
     // must add after nsfw checker!
-    addWatermarkerToGraph(state, graph);
+    addWatermarkerToGraph(state, graph, CANVAS_OUTPUT);
   }
 
   return graph;

From 55d27f71a376bbc31a04706883ccbe4cbed6c568 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sun, 13 Aug 2023 00:51:10 +1200
Subject: [PATCH 180/287] feat: Give each graph its own unique id

---
 .../nodes/util/graphBuilders/addVAEToGraph.ts | 71 ++++++++++++-------
 .../buildCanvasImageToImageGraph.ts           |  4 +-
 .../graphBuilders/buildCanvasInpaintGraph.ts  |  4 +-
 .../graphBuilders/buildCanvasOutpaintGraph.ts |  4 +-
 .../buildCanvasSDXLImageToImageGraph.ts       |  4 +-
 .../buildCanvasSDXLInpaintGraph.ts            |  4 +-
 .../buildCanvasSDXLOutpaintGraph.ts           |  4 +-
 .../buildCanvasSDXLTextToImageGraph.ts        |  4 +-
 .../buildCanvasTextToImageGraph.ts            |  4 +-
 .../nodes/util/graphBuilders/constants.ts     |  7 +-
 10 files changed, 67 insertions(+), 43 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts
index 384eae8c38..7cc9cead42 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts
@@ -2,10 +2,13 @@ import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
 import { MetadataAccumulatorInvocation } from 'services/api/types';
 import {
+  CANVAS_IMAGE_TO_IMAGE_GRAPH,
+  CANVAS_INPAINT_GRAPH,
+  CANVAS_OUTPAINT_GRAPH,
   CANVAS_OUTPUT,
+  CANVAS_TEXT_TO_IMAGE_GRAPH,
   IMAGE_TO_IMAGE_GRAPH,
   IMAGE_TO_LATENTS,
-  INPAINT_GRAPH,
   INPAINT_IMAGE,
   LATENTS_TO_IMAGE,
   MAIN_MODEL_LOADER,
@@ -38,19 +41,6 @@ export const addVAEToGraph = (
   const isOnnxModel = modelLoaderNodeId == ONNX_MODEL_LOADER;
 
   if (graph.id === TEXT_TO_IMAGE_GRAPH || graph.id === IMAGE_TO_IMAGE_GRAPH) {
-    graph.edges.push({
-      source: {
-        node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
-        field: isAutoVae && isOnnxModel ? 'vae_decoder' : 'vae',
-      },
-      destination: {
-        node_id: CANVAS_OUTPUT,
-        field: 'vae',
-      },
-    });
-  }
-
-  if (graph.id === INPAINT_GRAPH) {
     graph.edges.push({
       source: {
         node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
@@ -63,7 +53,26 @@ export const addVAEToGraph = (
     });
   }
 
-  if (graph.id === IMAGE_TO_IMAGE_GRAPH) {
+  if (
+    graph.id === CANVAS_TEXT_TO_IMAGE_GRAPH ||
+    graph.id === CANVAS_IMAGE_TO_IMAGE_GRAPH
+  ) {
+    graph.edges.push({
+      source: {
+        node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
+        field: isAutoVae && isOnnxModel ? 'vae_decoder' : 'vae',
+      },
+      destination: {
+        node_id: CANVAS_OUTPUT,
+        field: 'vae',
+      },
+    });
+  }
+
+  if (
+    graph.id === IMAGE_TO_IMAGE_GRAPH ||
+    graph.id === CANVAS_IMAGE_TO_IMAGE_GRAPH
+  ) {
     graph.edges.push({
       source: {
         node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
@@ -76,17 +85,29 @@ export const addVAEToGraph = (
     });
   }
 
-  if (graph.id === INPAINT_GRAPH) {
-    graph.edges.push({
-      source: {
-        node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
-        field: isAutoVae && isOnnxModel ? 'vae_decoder' : 'vae',
+  if (graph.id === CANVAS_INPAINT_GRAPH || graph.id == CANVAS_OUTPAINT_GRAPH) {
+    graph.edges.push(
+      {
+        source: {
+          node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
+          field: isAutoVae && isOnnxModel ? 'vae_decoder' : 'vae',
+        },
+        destination: {
+          node_id: INPAINT_IMAGE,
+          field: 'vae',
+        },
       },
-      destination: {
-        node_id: INPAINT_IMAGE,
-        field: 'vae',
-      },
-    });
+      {
+        source: {
+          node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
+          field: isAutoVae && isOnnxModel ? 'vae_decoder' : 'vae',
+        },
+        destination: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'vae',
+        },
+      }
+    );
   }
 
   if (vae && metadataAccumulator) {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
index 04636a19b7..a68aeef392 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasImageToImageGraph.ts
@@ -14,10 +14,10 @@ import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
+  CANVAS_IMAGE_TO_IMAGE_GRAPH,
   CANVAS_OUTPUT,
   CLIP_SKIP,
   DENOISE_LATENTS,
-  IMAGE_TO_IMAGE_GRAPH,
   IMAGE_TO_LATENTS,
   MAIN_MODEL_LOADER,
   METADATA_ACCUMULATOR,
@@ -73,7 +73,7 @@ export const buildCanvasImageToImageGraph = (
 
   // copy-pasted graph from node editor, filled in with state values & friendly node ids
   const graph: NonNullableGraph = {
-    id: IMAGE_TO_IMAGE_GRAPH,
+    id: CANVAS_IMAGE_TO_IMAGE_GRAPH,
     nodes: {
       [MAIN_MODEL_LOADER]: {
         type: 'main_model_loader',
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
index a1e5c27083..c2b8b62e42 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
@@ -12,11 +12,11 @@ import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
+  CANVAS_INPAINT_GRAPH,
   CANVAS_OUTPUT,
   CLIP_SKIP,
   COLOR_CORRECT,
   INPAINT,
-  INPAINT_GRAPH,
   INPAINT_IMAGE,
   ITERATE,
   LATENTS_TO_IMAGE,
@@ -78,7 +78,7 @@ export const buildCanvasInpaintGraph = (
     : shouldUseCpuNoise;
 
   const graph: NonNullableGraph = {
-    id: INPAINT_GRAPH,
+    id: CANVAS_INPAINT_GRAPH,
     nodes: {
       [MAIN_MODEL_LOADER]: {
         type: 'main_model_loader',
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
index 3f4737134a..d434f3d7cd 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
@@ -14,11 +14,11 @@ import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
+  CANVAS_OUTPAINT_GRAPH,
   CANVAS_OUTPUT,
   CLIP_SKIP,
   COLOR_CORRECT,
   INPAINT,
-  INPAINT_GRAPH,
   INPAINT_IMAGE,
   INPAINT_INFILL,
   ITERATE,
@@ -102,7 +102,7 @@ export const buildCanvasOutpaintGraph = (
   }
 
   const graph: NonNullableGraph = {
-    id: INPAINT_GRAPH,
+    id: CANVAS_OUTPAINT_GRAPH,
     nodes: {
       [MAIN_MODEL_LOADER]: {
         type: 'main_model_loader',
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
index f81bd8376b..f495bef983 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
@@ -15,9 +15,9 @@ import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
+  CANVAS_IMAGE_TO_IMAGE_GRAPH,
   CANVAS_OUTPUT,
   DENOISE_LATENTS,
-  IMAGE_TO_IMAGE_GRAPH,
   IMAGE_TO_LATENTS,
   METADATA_ACCUMULATOR,
   NEGATIVE_CONDITIONING,
@@ -81,7 +81,7 @@ export const buildCanvasSDXLImageToImageGraph = (
 
   // copy-pasted graph from node editor, filled in with state values & friendly node ids
   const graph: NonNullableGraph = {
-    id: IMAGE_TO_IMAGE_GRAPH,
+    id: CANVAS_IMAGE_TO_IMAGE_GRAPH,
     nodes: {
       [SDXL_MODEL_LOADER]: {
         type: 'sdxl_model_loader',
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
index 091778a569..dbb34649cc 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
@@ -13,10 +13,10 @@ import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
+  CANVAS_INPAINT_GRAPH,
   CANVAS_OUTPUT,
   COLOR_CORRECT,
   INPAINT,
-  INPAINT_GRAPH,
   INPAINT_IMAGE,
   ITERATE,
   LATENTS_TO_IMAGE,
@@ -85,7 +85,7 @@ export const buildCanvasSDXLInpaintGraph = (
     : shouldUseCpuNoise;
 
   const graph: NonNullableGraph = {
-    id: INPAINT_GRAPH,
+    id: CANVAS_INPAINT_GRAPH,
     nodes: {
       [SDXL_MODEL_LOADER]: {
         type: 'sdxl_model_loader',
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index 5db564ba6c..2abefd910e 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -15,10 +15,10 @@ import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
+  CANVAS_OUTPAINT_GRAPH,
   CANVAS_OUTPUT,
   COLOR_CORRECT,
   INPAINT,
-  INPAINT_GRAPH,
   INPAINT_IMAGE,
   INPAINT_INFILL,
   ITERATE,
@@ -109,7 +109,7 @@ export const buildCanvasSDXLOutpaintGraph = (
   }
 
   const graph: NonNullableGraph = {
-    id: INPAINT_GRAPH,
+    id: CANVAS_OUTPAINT_GRAPH,
     nodes: {
       [SDXL_MODEL_LOADER]: {
         type: 'sdxl_model_loader',
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
index f1559ace5c..e4c4f52160 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
@@ -15,6 +15,7 @@ import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
   CANVAS_OUTPUT,
+  CANVAS_TEXT_TO_IMAGE_GRAPH,
   DENOISE_LATENTS,
   METADATA_ACCUMULATOR,
   NEGATIVE_CONDITIONING,
@@ -22,7 +23,6 @@ import {
   ONNX_MODEL_LOADER,
   POSITIVE_CONDITIONING,
   SDXL_MODEL_LOADER,
-  TEXT_TO_IMAGE_GRAPH,
 } from './constants';
 
 /**
@@ -108,7 +108,7 @@ export const buildCanvasSDXLTextToImageGraph = (
   // copy-pasted graph from node editor, filled in with state values & friendly node ids
   // TODO: Actually create the graph correctly for ONNX
   const graph: NonNullableGraph = {
-    id: TEXT_TO_IMAGE_GRAPH,
+    id: CANVAS_TEXT_TO_IMAGE_GRAPH,
     nodes: {
       [modelLoaderNodeId]: {
         type: modelLoaderNodeType,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
index 8d25f13a47..4548a7e099 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasTextToImageGraph.ts
@@ -14,6 +14,7 @@ import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
   CANVAS_OUTPUT,
+  CANVAS_TEXT_TO_IMAGE_GRAPH,
   CLIP_SKIP,
   DENOISE_LATENTS,
   MAIN_MODEL_LOADER,
@@ -22,7 +23,6 @@ import {
   NOISE,
   ONNX_MODEL_LOADER,
   POSITIVE_CONDITIONING,
-  TEXT_TO_IMAGE_GRAPH,
 } from './constants';
 
 /**
@@ -101,7 +101,7 @@ export const buildCanvasTextToImageGraph = (
   // copy-pasted graph from node editor, filled in with state values & friendly node ids
   // TODO: Actually create the graph correctly for ONNX
   const graph: NonNullableGraph = {
-    id: TEXT_TO_IMAGE_GRAPH,
+    id: CANVAS_TEXT_TO_IMAGE_GRAPH,
     nodes: {
       [modelLoaderNodeId]: {
         type: modelLoaderNodeType,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index 24bf1b404d..af7b88d023 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -49,7 +49,10 @@ export const SDXL_REFINER_LATENTS_TO_LATENTS = 'l2l_sdxl_refiner';
 
 // friendly graph ids
 export const TEXT_TO_IMAGE_GRAPH = 'text_to_image_graph';
+export const IMAGE_TO_IMAGE_GRAPH = 'image_to_image_graph';
+export const CANVAS_TEXT_TO_IMAGE_GRAPH = 'canvas_text_to_image_graph';
+export const CANVAS_IMAGE_TO_IMAGE_GRAPH = 'canvas_image_to_image_graph';
+export const CANVAS_INPAINT_GRAPH = 'canvas_inpaint_graph';
+export const CANVAS_OUTPAINT_GRAPH = 'canvas_outpaint_graph';
 export const SDXL_TEXT_TO_IMAGE_GRAPH = 'sdxl_text_to_image_graph';
 export const SDXL_IMAGE_TO_IMAGE_GRAPH = 'sxdl_image_to_image_graph';
-export const IMAGE_TO_IMAGE_GRAPH = 'image_to_image_graph';
-export const INPAINT_GRAPH = 'inpaint_graph';

From 500cd552bc8a32b847bc451fa9516e48e07fd6ea Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sun, 13 Aug 2023 01:45:03 +1200
Subject: [PATCH 181/287] feat: Make SDXL work across the board + Custom VAE
 Support

Also a major cleanup pass to the SDXL graphs to ensure there's no ID overlap
---
 .../graphBuilders/addSDXLRefinerToGraph.ts    | 20 ++++----
 .../nodes/util/graphBuilders/addVAEToGraph.ts | 28 +++++++++--
 .../buildCanvasSDXLImageToImageGraph.ts       | 39 ++++++----------
 .../buildCanvasSDXLInpaintGraph.ts            | 32 ++++++-------
 .../buildCanvasSDXLOutpaintGraph.ts           | 32 ++++++-------
 .../buildCanvasSDXLTextToImageGraph.ts        | 26 +++++------
 .../buildLinearSDXLImageToImageGraph.ts       | 46 ++++++-------------
 .../buildLinearSDXLTextToImageGraph.ts        | 37 +++++++--------
 .../nodes/util/graphBuilders/constants.ts     | 11 +++--
 9 files changed, 132 insertions(+), 139 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
index 3faf72fb2e..ca0d574d61 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
@@ -2,12 +2,12 @@ import { RootState } from 'app/store/store';
 import { MetadataAccumulatorInvocation } from 'services/api/types';
 import { NonNullableGraph } from '../../types/types';
 import {
-  DENOISE_LATENTS,
   IMAGE_TO_LATENTS,
   LATENTS_TO_IMAGE,
   METADATA_ACCUMULATOR,
-  SDXL_LATENTS_TO_LATENTS,
+  SDXL_DENOISE_LATENTS,
   SDXL_MODEL_LOADER,
+  SDXL_REFINER_DENOISE_LATENTS,
   SDXL_REFINER_MODEL_LOADER,
   SDXL_REFINER_NEGATIVE_CONDITIONING,
   SDXL_REFINER_POSITIVE_CONDITIONING,
@@ -61,7 +61,7 @@ export const addSDXLRefinerToGraph = (
 
   // connect the VAE back to the i2l, which we just removed in the filter
   // but only if we are doing l2l
-  if (baseNodeId === SDXL_LATENTS_TO_LATENTS) {
+  if (baseNodeId === SDXL_DENOISE_LATENTS) {
     graph.edges.push({
       source: {
         node_id: SDXL_MODEL_LOADER,
@@ -91,9 +91,9 @@ export const addSDXLRefinerToGraph = (
     style: `${negativePrompt} ${negativeStylePrompt}`,
     aesthetic_score: refinerAestheticScore,
   };
-  graph.nodes[DENOISE_LATENTS] = {
+  graph.nodes[SDXL_REFINER_DENOISE_LATENTS] = {
     type: 'denoise_latents',
-    id: DENOISE_LATENTS,
+    id: SDXL_REFINER_DENOISE_LATENTS,
     cfg_scale: refinerCFGScale,
     steps: refinerSteps / (1 - Math.min(refinerStart, 0.99)),
     scheduler: refinerScheduler,
@@ -108,7 +108,7 @@ export const addSDXLRefinerToGraph = (
         field: 'unet',
       },
       destination: {
-        node_id: DENOISE_LATENTS,
+        node_id: SDXL_REFINER_DENOISE_LATENTS,
         field: 'unet',
       },
     },
@@ -148,7 +148,7 @@ export const addSDXLRefinerToGraph = (
         field: 'conditioning',
       },
       destination: {
-        node_id: DENOISE_LATENTS,
+        node_id: SDXL_REFINER_DENOISE_LATENTS,
         field: 'positive_conditioning',
       },
     },
@@ -158,7 +158,7 @@ export const addSDXLRefinerToGraph = (
         field: 'conditioning',
       },
       destination: {
-        node_id: DENOISE_LATENTS,
+        node_id: SDXL_REFINER_DENOISE_LATENTS,
         field: 'negative_conditioning',
       },
     },
@@ -168,13 +168,13 @@ export const addSDXLRefinerToGraph = (
         field: 'latents',
       },
       destination: {
-        node_id: DENOISE_LATENTS,
+        node_id: SDXL_REFINER_DENOISE_LATENTS,
         field: 'latents',
       },
     },
     {
       source: {
-        node_id: DENOISE_LATENTS,
+        node_id: SDXL_REFINER_DENOISE_LATENTS,
         field: 'latents',
       },
       destination: {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts
index 7cc9cead42..360e07062a 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addVAEToGraph.ts
@@ -14,6 +14,12 @@ import {
   MAIN_MODEL_LOADER,
   METADATA_ACCUMULATOR,
   ONNX_MODEL_LOADER,
+  SDXL_CANVAS_IMAGE_TO_IMAGE_GRAPH,
+  SDXL_CANVAS_INPAINT_GRAPH,
+  SDXL_CANVAS_OUTPAINT_GRAPH,
+  SDXL_CANVAS_TEXT_TO_IMAGE_GRAPH,
+  SDXL_IMAGE_TO_IMAGE_GRAPH,
+  SDXL_TEXT_TO_IMAGE_GRAPH,
   TEXT_TO_IMAGE_GRAPH,
   VAE_LOADER,
 } from './constants';
@@ -40,7 +46,12 @@ export const addVAEToGraph = (
   }
   const isOnnxModel = modelLoaderNodeId == ONNX_MODEL_LOADER;
 
-  if (graph.id === TEXT_TO_IMAGE_GRAPH || graph.id === IMAGE_TO_IMAGE_GRAPH) {
+  if (
+    graph.id === TEXT_TO_IMAGE_GRAPH ||
+    graph.id === IMAGE_TO_IMAGE_GRAPH ||
+    graph.id === SDXL_TEXT_TO_IMAGE_GRAPH ||
+    graph.id === SDXL_IMAGE_TO_IMAGE_GRAPH
+  ) {
     graph.edges.push({
       source: {
         node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
@@ -55,7 +66,9 @@ export const addVAEToGraph = (
 
   if (
     graph.id === CANVAS_TEXT_TO_IMAGE_GRAPH ||
-    graph.id === CANVAS_IMAGE_TO_IMAGE_GRAPH
+    graph.id === CANVAS_IMAGE_TO_IMAGE_GRAPH ||
+    graph.id === SDXL_CANVAS_TEXT_TO_IMAGE_GRAPH ||
+    graph.id == SDXL_CANVAS_IMAGE_TO_IMAGE_GRAPH
   ) {
     graph.edges.push({
       source: {
@@ -71,7 +84,9 @@ export const addVAEToGraph = (
 
   if (
     graph.id === IMAGE_TO_IMAGE_GRAPH ||
-    graph.id === CANVAS_IMAGE_TO_IMAGE_GRAPH
+    graph.id === SDXL_IMAGE_TO_IMAGE_GRAPH ||
+    graph.id === CANVAS_IMAGE_TO_IMAGE_GRAPH ||
+    graph.id === SDXL_CANVAS_IMAGE_TO_IMAGE_GRAPH
   ) {
     graph.edges.push({
       source: {
@@ -85,7 +100,12 @@ export const addVAEToGraph = (
     });
   }
 
-  if (graph.id === CANVAS_INPAINT_GRAPH || graph.id == CANVAS_OUTPAINT_GRAPH) {
+  if (
+    graph.id === CANVAS_INPAINT_GRAPH ||
+    graph.id === CANVAS_OUTPAINT_GRAPH ||
+    graph.id === SDXL_CANVAS_INPAINT_GRAPH ||
+    graph.id === SDXL_CANVAS_OUTPAINT_GRAPH
+  ) {
     graph.edges.push(
       {
         source: {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
index f495bef983..8e96b43fea 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
@@ -15,15 +15,15 @@ import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
-  CANVAS_IMAGE_TO_IMAGE_GRAPH,
   CANVAS_OUTPUT,
-  DENOISE_LATENTS,
   IMAGE_TO_LATENTS,
   METADATA_ACCUMULATOR,
   NEGATIVE_CONDITIONING,
   NOISE,
   POSITIVE_CONDITIONING,
   RESIZE,
+  SDXL_CANVAS_IMAGE_TO_IMAGE_GRAPH,
+  SDXL_DENOISE_LATENTS,
   SDXL_MODEL_LOADER,
 } from './constants';
 
@@ -81,7 +81,7 @@ export const buildCanvasSDXLImageToImageGraph = (
 
   // copy-pasted graph from node editor, filled in with state values & friendly node ids
   const graph: NonNullableGraph = {
-    id: CANVAS_IMAGE_TO_IMAGE_GRAPH,
+    id: SDXL_CANVAS_IMAGE_TO_IMAGE_GRAPH,
     nodes: {
       [SDXL_MODEL_LOADER]: {
         type: 'sdxl_model_loader',
@@ -119,9 +119,9 @@ export const buildCanvasSDXLImageToImageGraph = (
         //   image_name: initialImage.image_name,
         // },
       },
-      [DENOISE_LATENTS]: {
+      [SDXL_DENOISE_LATENTS]: {
         type: 'denoise_latents',
-        id: DENOISE_LATENTS,
+        id: SDXL_DENOISE_LATENTS,
         is_intermediate: true,
         cfg_scale,
         scheduler,
@@ -145,7 +145,7 @@ export const buildCanvasSDXLImageToImageGraph = (
           field: 'unet',
         },
         destination: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'unet',
         },
       },
@@ -196,7 +196,7 @@ export const buildCanvasSDXLImageToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'positive_conditioning',
         },
       },
@@ -206,7 +206,7 @@ export const buildCanvasSDXLImageToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'negative_conditioning',
         },
       },
@@ -216,7 +216,7 @@ export const buildCanvasSDXLImageToImageGraph = (
           field: 'noise',
         },
         destination: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'noise',
         },
       },
@@ -226,14 +226,14 @@ export const buildCanvasSDXLImageToImageGraph = (
           field: 'latents',
         },
         destination: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'latents',
         },
       },
       // Decode denoised latents to an image
       {
         source: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'latents',
         },
         destination: {
@@ -241,17 +241,6 @@ export const buildCanvasSDXLImageToImageGraph = (
           field: 'latents',
         },
       },
-      // Canvas Output
-      {
-        source: {
-          node_id: CANVAS_OUTPUT,
-          field: 'image',
-        },
-        destination: {
-          node_id: CANVAS_OUTPUT,
-          field: 'image',
-        },
-      },
     ],
   };
 
@@ -356,11 +345,11 @@ export const buildCanvasSDXLImageToImageGraph = (
   });
 
   // add LoRA support
-  addLoRAsToGraph(state, graph, DENOISE_LATENTS);
+  addLoRAsToGraph(state, graph, SDXL_DENOISE_LATENTS);
 
   // Add Refiner if enabled
   if (shouldUseSDXLRefiner) {
-    addSDXLRefinerToGraph(state, graph, DENOISE_LATENTS);
+    addSDXLRefinerToGraph(state, graph, SDXL_DENOISE_LATENTS);
   }
 
   // optionally add custom VAE
@@ -370,7 +359,7 @@ export const buildCanvasSDXLImageToImageGraph = (
   addDynamicPromptsToGraph(state, graph);
 
   // add controlnet, mutating `graph`
-  addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
+  addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
 
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
index dbb34649cc..7b43be497c 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
@@ -13,10 +13,8 @@ import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
-  CANVAS_INPAINT_GRAPH,
   CANVAS_OUTPUT,
   COLOR_CORRECT,
-  INPAINT,
   INPAINT_IMAGE,
   ITERATE,
   LATENTS_TO_IMAGE,
@@ -26,6 +24,8 @@ import {
   POSITIVE_CONDITIONING,
   RANDOM_INT,
   RANGE_OF_SIZE,
+  SDXL_CANVAS_INPAINT_GRAPH,
+  SDXL_DENOISE_LATENTS,
   SDXL_MODEL_LOADER,
 } from './constants';
 
@@ -85,7 +85,7 @@ export const buildCanvasSDXLInpaintGraph = (
     : shouldUseCpuNoise;
 
   const graph: NonNullableGraph = {
-    id: CANVAS_INPAINT_GRAPH,
+    id: SDXL_CANVAS_INPAINT_GRAPH,
     nodes: {
       [SDXL_MODEL_LOADER]: {
         type: 'sdxl_model_loader',
@@ -131,9 +131,9 @@ export const buildCanvasSDXLInpaintGraph = (
         use_cpu,
         is_intermediate: true,
       },
-      [INPAINT]: {
+      [SDXL_DENOISE_LATENTS]: {
         type: 'denoise_latents',
-        id: INPAINT,
+        id: SDXL_DENOISE_LATENTS,
         is_intermediate: true,
         steps: steps,
         cfg_scale: cfg_scale,
@@ -182,7 +182,7 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'unet',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'unet',
         },
       },
@@ -233,7 +233,7 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'positive_conditioning',
         },
       },
@@ -243,7 +243,7 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'negative_conditioning',
         },
       },
@@ -253,7 +253,7 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'noise',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'noise',
         },
       },
@@ -263,7 +263,7 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'latents',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'latents',
         },
       },
@@ -273,7 +273,7 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'image',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'mask',
         },
       },
@@ -301,7 +301,7 @@ export const buildCanvasSDXLInpaintGraph = (
       // Decode inpainted latents to image
       {
         source: {
-          node_id: INPAINT,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'latents',
         },
         destination: {
@@ -356,10 +356,10 @@ export const buildCanvasSDXLInpaintGraph = (
 
   // Add Refiner if enabled
   if (shouldUseSDXLRefiner) {
-    addSDXLRefinerToGraph(state, graph, INPAINT);
+    addSDXLRefinerToGraph(state, graph, SDXL_DENOISE_LATENTS);
   }
 
-  // Add VAE
+  // optionally add custom VAE
   addVAEToGraph(state, graph, SDXL_MODEL_LOADER);
 
   // handle seed
@@ -383,10 +383,10 @@ export const buildCanvasSDXLInpaintGraph = (
   }
 
   // add LoRA support
-  addSDXLLoRAsToGraph(state, graph, INPAINT, SDXL_MODEL_LOADER);
+  addSDXLLoRAsToGraph(state, graph, SDXL_DENOISE_LATENTS, SDXL_MODEL_LOADER);
 
   // add controlnet, mutating `graph`
-  addControlNetToLinearGraph(state, graph, INPAINT);
+  addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
 
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index 2abefd910e..c75ef0f800 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -15,10 +15,8 @@ import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
-  CANVAS_OUTPAINT_GRAPH,
   CANVAS_OUTPUT,
   COLOR_CORRECT,
-  INPAINT,
   INPAINT_IMAGE,
   INPAINT_INFILL,
   ITERATE,
@@ -31,6 +29,8 @@ import {
   POSITIVE_CONDITIONING,
   RANDOM_INT,
   RANGE_OF_SIZE,
+  SDXL_CANVAS_OUTPAINT_GRAPH,
+  SDXL_DENOISE_LATENTS,
   SDXL_MODEL_LOADER,
 } from './constants';
 
@@ -109,7 +109,7 @@ export const buildCanvasSDXLOutpaintGraph = (
   }
 
   const graph: NonNullableGraph = {
-    id: CANVAS_OUTPAINT_GRAPH,
+    id: SDXL_CANVAS_OUTPAINT_GRAPH,
     nodes: {
       [SDXL_MODEL_LOADER]: {
         type: 'sdxl_model_loader',
@@ -166,9 +166,9 @@ export const buildCanvasSDXLOutpaintGraph = (
         use_cpu,
         is_intermediate: true,
       },
-      [INPAINT]: {
+      [SDXL_DENOISE_LATENTS]: {
         type: 'denoise_latents',
-        id: INPAINT,
+        id: SDXL_DENOISE_LATENTS,
         is_intermediate: true,
         steps: steps,
         cfg_scale: cfg_scale,
@@ -215,7 +215,7 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'unet',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'unet',
         },
       },
@@ -298,7 +298,7 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'positive_conditioning',
         },
       },
@@ -308,7 +308,7 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'negative_conditioning',
         },
       },
@@ -318,7 +318,7 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'noise',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'noise',
         },
       },
@@ -328,7 +328,7 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'latents',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'latents',
         },
       },
@@ -338,7 +338,7 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'image',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'mask',
         },
       },
@@ -366,7 +366,7 @@ export const buildCanvasSDXLOutpaintGraph = (
       // Decode inpainted latents to image
       {
         source: {
-          node_id: INPAINT,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'latents',
         },
         destination: {
@@ -441,10 +441,10 @@ export const buildCanvasSDXLOutpaintGraph = (
 
   // Add Refiner if enabled
   if (shouldUseSDXLRefiner) {
-    addSDXLRefinerToGraph(state, graph, INPAINT);
+    addSDXLRefinerToGraph(state, graph, SDXL_DENOISE_LATENTS);
   }
 
-  // Add VAE
+  // optionally add custom VAE
   addVAEToGraph(state, graph, SDXL_MODEL_LOADER);
 
   // handle seed
@@ -468,10 +468,10 @@ export const buildCanvasSDXLOutpaintGraph = (
   }
 
   // add LoRA support
-  addSDXLLoRAsToGraph(state, graph, INPAINT, SDXL_MODEL_LOADER);
+  addSDXLLoRAsToGraph(state, graph, SDXL_DENOISE_LATENTS, SDXL_MODEL_LOADER);
 
   // add controlnet, mutating `graph`
-  addControlNetToLinearGraph(state, graph, INPAINT);
+  addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
 
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
index e4c4f52160..c75cfd205e 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
@@ -15,13 +15,13 @@ import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
   CANVAS_OUTPUT,
-  CANVAS_TEXT_TO_IMAGE_GRAPH,
-  DENOISE_LATENTS,
   METADATA_ACCUMULATOR,
   NEGATIVE_CONDITIONING,
   NOISE,
   ONNX_MODEL_LOADER,
   POSITIVE_CONDITIONING,
+  SDXL_CANVAS_TEXT_TO_IMAGE_GRAPH,
+  SDXL_DENOISE_LATENTS,
   SDXL_MODEL_LOADER,
 } from './constants';
 
@@ -80,7 +80,7 @@ export const buildCanvasSDXLTextToImageGraph = (
     isUsingOnnxModel
       ? {
           type: 't2l_onnx',
-          id: DENOISE_LATENTS,
+          id: SDXL_DENOISE_LATENTS,
           is_intermediate: true,
           cfg_scale,
           scheduler,
@@ -88,7 +88,7 @@ export const buildCanvasSDXLTextToImageGraph = (
         }
       : {
           type: 'denoise_latents',
-          id: DENOISE_LATENTS,
+          id: SDXL_DENOISE_LATENTS,
           is_intermediate: true,
           cfg_scale,
           scheduler,
@@ -108,7 +108,7 @@ export const buildCanvasSDXLTextToImageGraph = (
   // copy-pasted graph from node editor, filled in with state values & friendly node ids
   // TODO: Actually create the graph correctly for ONNX
   const graph: NonNullableGraph = {
-    id: CANVAS_TEXT_TO_IMAGE_GRAPH,
+    id: SDXL_CANVAS_TEXT_TO_IMAGE_GRAPH,
     nodes: {
       [modelLoaderNodeId]: {
         type: modelLoaderNodeType,
@@ -157,7 +157,7 @@ export const buildCanvasSDXLTextToImageGraph = (
           field: 'unet',
         },
         destination: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'unet',
         },
       },
@@ -208,7 +208,7 @@ export const buildCanvasSDXLTextToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'positive_conditioning',
         },
       },
@@ -218,7 +218,7 @@ export const buildCanvasSDXLTextToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'negative_conditioning',
         },
       },
@@ -228,14 +228,14 @@ export const buildCanvasSDXLTextToImageGraph = (
           field: 'noise',
         },
         destination: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'noise',
         },
       },
       // Decode Denoised Latents To Image
       {
         source: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'latents',
         },
         destination: {
@@ -280,11 +280,11 @@ export const buildCanvasSDXLTextToImageGraph = (
 
   // Add Refiner if enabled
   if (shouldUseSDXLRefiner) {
-    addSDXLRefinerToGraph(state, graph, DENOISE_LATENTS);
+    addSDXLRefinerToGraph(state, graph, SDXL_DENOISE_LATENTS);
   }
 
   // add LoRA support
-  addSDXLLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId);
+  addSDXLLoRAsToGraph(state, graph, SDXL_DENOISE_LATENTS, modelLoaderNodeId);
 
   // optionally add custom VAE
   addVAEToGraph(state, graph, modelLoaderNodeId);
@@ -293,7 +293,7 @@ export const buildCanvasSDXLTextToImageGraph = (
   addDynamicPromptsToGraph(state, graph);
 
   // add controlnet, mutating `graph`
-  addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
+  addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
 
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index 901ca8c09f..a2a5055394 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -10,9 +10,9 @@ import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
+import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
-  DENOISE_LATENTS,
   IMAGE_TO_LATENTS,
   LATENTS_TO_IMAGE,
   METADATA_ACCUMULATOR,
@@ -20,6 +20,7 @@ import {
   NOISE,
   POSITIVE_CONDITIONING,
   RESIZE,
+  SDXL_DENOISE_LATENTS,
   SDXL_IMAGE_TO_IMAGE_GRAPH,
   SDXL_MODEL_LOADER,
 } from './constants';
@@ -115,9 +116,9 @@ export const buildLinearSDXLImageToImageGraph = (
         id: LATENTS_TO_IMAGE,
         fp32: vaePrecision === 'fp32' ? true : false,
       },
-      [DENOISE_LATENTS]: {
+      [SDXL_DENOISE_LATENTS]: {
         type: 'denoise_latents',
-        id: DENOISE_LATENTS,
+        id: SDXL_DENOISE_LATENTS,
         cfg_scale,
         scheduler,
         steps,
@@ -144,30 +145,10 @@ export const buildLinearSDXLImageToImageGraph = (
           field: 'unet',
         },
         destination: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'unet',
         },
       },
-      {
-        source: {
-          node_id: SDXL_MODEL_LOADER,
-          field: 'vae',
-        },
-        destination: {
-          node_id: LATENTS_TO_IMAGE,
-          field: 'vae',
-        },
-      },
-      {
-        source: {
-          node_id: SDXL_MODEL_LOADER,
-          field: 'vae',
-        },
-        destination: {
-          node_id: IMAGE_TO_LATENTS,
-          field: 'vae',
-        },
-      },
       {
         source: {
           node_id: SDXL_MODEL_LOADER,
@@ -215,7 +196,7 @@ export const buildLinearSDXLImageToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'positive_conditioning',
         },
       },
@@ -225,7 +206,7 @@ export const buildLinearSDXLImageToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'negative_conditioning',
         },
       },
@@ -235,7 +216,7 @@ export const buildLinearSDXLImageToImageGraph = (
           field: 'noise',
         },
         destination: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'noise',
         },
       },
@@ -245,14 +226,14 @@ export const buildLinearSDXLImageToImageGraph = (
           field: 'latents',
         },
         destination: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'latents',
         },
       },
       // Decode Denoised Latents To Image
       {
         source: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'latents',
         },
         destination: {
@@ -368,13 +349,16 @@ export const buildLinearSDXLImageToImageGraph = (
     },
   });
 
-  addSDXLLoRAsToGraph(state, graph, DENOISE_LATENTS, SDXL_MODEL_LOADER);
+  addSDXLLoRAsToGraph(state, graph, SDXL_DENOISE_LATENTS, SDXL_MODEL_LOADER);
 
   // Add Refiner if enabled
   if (shouldUseSDXLRefiner) {
-    addSDXLRefinerToGraph(state, graph, DENOISE_LATENTS);
+    addSDXLRefinerToGraph(state, graph, SDXL_DENOISE_LATENTS);
   }
 
+  // optionally add custom VAE
+  addVAEToGraph(state, graph, SDXL_MODEL_LOADER);
+
   // add dynamic prompts - also sets up core iteration and seed
   addDynamicPromptsToGraph(state, graph);
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
index ac859597b3..84d27a673d 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -6,14 +6,15 @@ import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
+import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
-  DENOISE_LATENTS,
   LATENTS_TO_IMAGE,
   METADATA_ACCUMULATOR,
   NEGATIVE_CONDITIONING,
   NOISE,
   POSITIVE_CONDITIONING,
+  SDXL_DENOISE_LATENTS,
   SDXL_MODEL_LOADER,
   SDXL_TEXT_TO_IMAGE_GRAPH,
 } from './constants';
@@ -95,9 +96,9 @@ export const buildLinearSDXLTextToImageGraph = (
         height,
         use_cpu,
       },
-      [DENOISE_LATENTS]: {
+      [SDXL_DENOISE_LATENTS]: {
         type: 'denoise_latents',
-        id: DENOISE_LATENTS,
+        id: SDXL_DENOISE_LATENTS,
         cfg_scale,
         scheduler,
         steps,
@@ -118,20 +119,10 @@ export const buildLinearSDXLTextToImageGraph = (
           field: 'unet',
         },
         destination: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'unet',
         },
       },
-      {
-        source: {
-          node_id: SDXL_MODEL_LOADER,
-          field: 'vae',
-        },
-        destination: {
-          node_id: LATENTS_TO_IMAGE,
-          field: 'vae',
-        },
-      },
       {
         source: {
           node_id: SDXL_MODEL_LOADER,
@@ -179,7 +170,7 @@ export const buildLinearSDXLTextToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'positive_conditioning',
         },
       },
@@ -189,7 +180,7 @@ export const buildLinearSDXLTextToImageGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'negative_conditioning',
         },
       },
@@ -199,14 +190,14 @@ export const buildLinearSDXLTextToImageGraph = (
           field: 'noise',
         },
         destination: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'noise',
         },
       },
       // Decode Denoised Latents To Image
       {
         source: {
-          node_id: DENOISE_LATENTS,
+          node_id: SDXL_DENOISE_LATENTS,
           field: 'latents',
         },
         destination: {
@@ -251,13 +242,17 @@ export const buildLinearSDXLTextToImageGraph = (
     },
   });
 
-  addSDXLLoRAsToGraph(state, graph, DENOISE_LATENTS, SDXL_MODEL_LOADER);
-
   // Add Refiner if enabled
   if (shouldUseSDXLRefiner) {
-    addSDXLRefinerToGraph(state, graph, DENOISE_LATENTS);
+    addSDXLRefinerToGraph(state, graph, SDXL_DENOISE_LATENTS);
   }
 
+  // optionally add custom VAE
+  addVAEToGraph(state, graph, SDXL_MODEL_LOADER);
+
+  // add LoRA support
+  addSDXLLoRAsToGraph(state, graph, SDXL_DENOISE_LATENTS, SDXL_MODEL_LOADER);
+
   // add dynamic prompts - also sets up core iteration and seed
   addDynamicPromptsToGraph(state, graph);
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index af7b88d023..f1654383dd 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -38,14 +38,13 @@ export const REALESRGAN = 'esrgan';
 export const DIVIDE = 'divide';
 export const SCALE = 'scale_image';
 export const SDXL_MODEL_LOADER = 'sdxl_model_loader';
-export const SDXL_TEXT_TO_LATENTS = 't2l_sdxl';
-export const SDXL_LATENTS_TO_LATENTS = 'l2l_sdxl';
+export const SDXL_DENOISE_LATENTS = 'sdxl_denoise_latents';
 export const SDXL_REFINER_MODEL_LOADER = 'sdxl_refiner_model_loader';
 export const SDXL_REFINER_POSITIVE_CONDITIONING =
   'sdxl_refiner_positive_conditioning';
 export const SDXL_REFINER_NEGATIVE_CONDITIONING =
   'sdxl_refiner_negative_conditioning';
-export const SDXL_REFINER_LATENTS_TO_LATENTS = 'l2l_sdxl_refiner';
+export const SDXL_REFINER_DENOISE_LATENTS = 'sdxl_refiner_denoise_latents';
 
 // friendly graph ids
 export const TEXT_TO_IMAGE_GRAPH = 'text_to_image_graph';
@@ -56,3 +55,9 @@ export const CANVAS_INPAINT_GRAPH = 'canvas_inpaint_graph';
 export const CANVAS_OUTPAINT_GRAPH = 'canvas_outpaint_graph';
 export const SDXL_TEXT_TO_IMAGE_GRAPH = 'sdxl_text_to_image_graph';
 export const SDXL_IMAGE_TO_IMAGE_GRAPH = 'sxdl_image_to_image_graph';
+export const SDXL_CANVAS_TEXT_TO_IMAGE_GRAPH =
+  'sdxl_canvas_text_to_image_graph';
+export const SDXL_CANVAS_IMAGE_TO_IMAGE_GRAPH =
+  'sdxl_canvas_image_to_image_graph';
+export const SDXL_CANVAS_INPAINT_GRAPH = 'sdxl_canvas_inpaint_graph';
+export const SDXL_CANVAS_OUTPAINT_GRAPH = 'sdxl_canvas_outpaint_graph';

From c33acf951ee87d5495291e376c4261d41a9ffb72 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sun, 13 Aug 2023 03:53:40 +1200
Subject: [PATCH 182/287] feat: Make Refiner work with Canvas

---
 .../graphBuilders/addSDXLRefinerToGraph.ts    | 74 +++++++++++--------
 1 file changed, 43 insertions(+), 31 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
index ca0d574d61..65664c9f2d 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
@@ -2,10 +2,14 @@ import { RootState } from 'app/store/store';
 import { MetadataAccumulatorInvocation } from 'services/api/types';
 import { NonNullableGraph } from '../../types/types';
 import {
-  IMAGE_TO_LATENTS,
+  CANVAS_OUTPUT,
   LATENTS_TO_IMAGE,
+  MASK_BLUR,
   METADATA_ACCUMULATOR,
-  SDXL_DENOISE_LATENTS,
+  SDXL_CANVAS_IMAGE_TO_IMAGE_GRAPH,
+  SDXL_CANVAS_INPAINT_GRAPH,
+  SDXL_CANVAS_OUTPAINT_GRAPH,
+  SDXL_CANVAS_TEXT_TO_IMAGE_GRAPH,
   SDXL_MODEL_LOADER,
   SDXL_REFINER_DENOISE_LATENTS,
   SDXL_REFINER_MODEL_LOADER,
@@ -59,21 +63,6 @@ export const addSDXLRefinerToGraph = (
       )
   );
 
-  // connect the VAE back to the i2l, which we just removed in the filter
-  // but only if we are doing l2l
-  if (baseNodeId === SDXL_DENOISE_LATENTS) {
-    graph.edges.push({
-      source: {
-        node_id: SDXL_MODEL_LOADER,
-        field: 'vae',
-      },
-      destination: {
-        node_id: IMAGE_TO_LATENTS,
-        field: 'vae',
-      },
-    });
-  }
-
   graph.nodes[SDXL_REFINER_MODEL_LOADER] = {
     type: 'sdxl_refiner_model_loader',
     id: SDXL_REFINER_MODEL_LOADER,
@@ -112,16 +101,6 @@ export const addSDXLRefinerToGraph = (
         field: 'unet',
       },
     },
-    {
-      source: {
-        node_id: SDXL_REFINER_MODEL_LOADER,
-        field: 'vae',
-      },
-      destination: {
-        node_id: LATENTS_TO_IMAGE,
-        field: 'vae',
-      },
-    },
     {
       source: {
         node_id: SDXL_REFINER_MODEL_LOADER,
@@ -171,8 +150,25 @@ export const addSDXLRefinerToGraph = (
         node_id: SDXL_REFINER_DENOISE_LATENTS,
         field: 'latents',
       },
-    },
-    {
+    }
+  );
+
+  if (
+    graph.id === SDXL_CANVAS_TEXT_TO_IMAGE_GRAPH ||
+    graph.id === SDXL_CANVAS_IMAGE_TO_IMAGE_GRAPH
+  ) {
+    graph.edges.push({
+      source: {
+        node_id: SDXL_REFINER_DENOISE_LATENTS,
+        field: 'latents',
+      },
+      destination: {
+        node_id: CANVAS_OUTPUT,
+        field: 'latents',
+      },
+    });
+  } else {
+    graph.edges.push({
       source: {
         node_id: SDXL_REFINER_DENOISE_LATENTS,
         field: 'latents',
@@ -181,6 +177,22 @@ export const addSDXLRefinerToGraph = (
         node_id: LATENTS_TO_IMAGE,
         field: 'latents',
       },
-    }
-  );
+    });
+  }
+
+  if (
+    graph.id === SDXL_CANVAS_INPAINT_GRAPH ||
+    graph.id === SDXL_CANVAS_OUTPAINT_GRAPH
+  ) {
+    graph.edges.push({
+      source: {
+        node_id: MASK_BLUR,
+        field: 'image',
+      },
+      destination: {
+        node_id: SDXL_REFINER_DENOISE_LATENTS,
+        field: 'mask',
+      },
+    });
+  }
 };

From 28208e6f491adc02437d24e148bf430b4f185394 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sun, 13 Aug 2023 04:09:51 +1200
Subject: [PATCH 183/287] fix: Fix VAE Precision not working for SDXL Canvas
 Modes

---
 .../util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts      | 2 ++
 .../nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts | 2 ++
 2 files changed, 4 insertions(+)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
index 8e96b43fea..0342d3e65c 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
@@ -42,6 +42,7 @@ export const buildCanvasSDXLImageToImageGraph = (
     cfgScale: cfg_scale,
     scheduler,
     steps,
+    vaePrecision,
     clipSkip,
     shouldUseCpuNoise,
     shouldUseNoiseSettings,
@@ -135,6 +136,7 @@ export const buildCanvasSDXLImageToImageGraph = (
         type: 'l2i',
         id: CANVAS_OUTPUT,
         is_intermediate: !shouldAutoSave,
+        fp32: vaePrecision === 'fp32' ? true : false,
       },
     },
     edges: [
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
index c75cfd205e..da27ace3b0 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
@@ -39,6 +39,7 @@ export const buildCanvasSDXLTextToImageGraph = (
     cfgScale: cfg_scale,
     scheduler,
     steps,
+    vaePrecision,
     clipSkip,
     shouldUseCpuNoise,
     shouldUseNoiseSettings,
@@ -147,6 +148,7 @@ export const buildCanvasSDXLTextToImageGraph = (
         type: isUsingOnnxModel ? 'l2i_onnx' : 'l2i',
         id: CANVAS_OUTPUT,
         is_intermediate: !shouldAutoSave,
+        fp32: vaePrecision === 'fp32' ? true : false,
       },
     },
     edges: [

From 29f1c6dc82e508e9a56fc957e52d344148cc9c75 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sun, 13 Aug 2023 04:23:52 +1200
Subject: [PATCH 184/287] fix: Image To Image FP32 Fix for Canvas SDXL

---
 .../nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts | 1 +
 1 file changed, 1 insertion(+)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
index 0342d3e65c..dac605580d 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
@@ -115,6 +115,7 @@ export const buildCanvasSDXLImageToImageGraph = (
         type: 'i2l',
         id: IMAGE_TO_LATENTS,
         is_intermediate: true,
+        fp32: vaePrecision === 'fp32' ? true : false,
         // must be set manually later, bc `fit` parameter may require a resize node inserted
         // image: {
         //   image_name: initialImage.image_name,

From fcf7f4ac77f7bc3760f28c32855f5187880535e0 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sun, 13 Aug 2023 04:27:38 +1200
Subject: [PATCH 185/287] feat: Add SDXL ControlNet To Linear UI

---
 .../util/graphBuilders/buildLinearSDXLImageToImageGraph.ts    | 4 ++++
 .../util/graphBuilders/buildLinearSDXLTextToImageGraph.ts     | 4 ++++
 .../sdxl/components/SDXLImageToImageTabParameters.tsx         | 4 +++-
 .../features/sdxl/components/SDXLTextToImageTabParameters.tsx | 4 +++-
 4 files changed, 14 insertions(+), 2 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index a2a5055394..0d30fe1c63 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -6,6 +6,7 @@ import {
   ImageResizeInvocation,
   ImageToLatentsInvocation,
 } from 'services/api/types';
+import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
@@ -359,6 +360,9 @@ export const buildLinearSDXLImageToImageGraph = (
   // optionally add custom VAE
   addVAEToGraph(state, graph, SDXL_MODEL_LOADER);
 
+  // add controlnet, mutating `graph`
+  addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
+
   // add dynamic prompts - also sets up core iteration and seed
   addDynamicPromptsToGraph(state, graph);
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
index 84d27a673d..595b6f47cd 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -2,6 +2,7 @@ import { logger } from 'app/logging/logger';
 import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
 import { initialGenerationState } from 'features/parameters/store/generationSlice';
+import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
@@ -253,6 +254,9 @@ export const buildLinearSDXLTextToImageGraph = (
   // add LoRA support
   addSDXLLoRAsToGraph(state, graph, SDXL_DENOISE_LATENTS, SDXL_MODEL_LOADER);
 
+  // add controlnet, mutating `graph`
+  addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
+
   // add dynamic prompts - also sets up core iteration and seed
   addDynamicPromptsToGraph(state, graph);
 
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
index edc92a56c8..a6ee21ab68 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
@@ -1,10 +1,11 @@
 import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/ParamDynamicPromptsCollapse';
+import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
+import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse';
 import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse';
 import ProcessButtons from 'features/parameters/components/ProcessButtons/ProcessButtons';
 import ParamSDXLPromptArea from './ParamSDXLPromptArea';
 import ParamSDXLRefinerCollapse from './ParamSDXLRefinerCollapse';
 import SDXLImageToImageTabCoreParameters from './SDXLImageToImageTabCoreParameters';
-import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
 
 const SDXLImageToImageTabParameters = () => {
   return (
@@ -13,6 +14,7 @@ const SDXLImageToImageTabParameters = () => {
       <ProcessButtons />
       <SDXLImageToImageTabCoreParameters />
       <ParamSDXLRefinerCollapse />
+      <ParamControlNetCollapse />
       <ParamLoraCollapse />
       <ParamDynamicPromptsCollapse />
       <ParamNoiseCollapse />
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx
index 325fd7d881..c562951c4d 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx
@@ -1,10 +1,11 @@
 import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/ParamDynamicPromptsCollapse';
+import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
+import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse';
 import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse';
 import ProcessButtons from 'features/parameters/components/ProcessButtons/ProcessButtons';
 import TextToImageTabCoreParameters from 'features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters';
 import ParamSDXLPromptArea from './ParamSDXLPromptArea';
 import ParamSDXLRefinerCollapse from './ParamSDXLRefinerCollapse';
-import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
 
 const SDXLTextToImageTabParameters = () => {
   return (
@@ -13,6 +14,7 @@ const SDXLTextToImageTabParameters = () => {
       <ProcessButtons />
       <TextToImageTabCoreParameters />
       <ParamSDXLRefinerCollapse />
+      <ParamControlNetCollapse />
       <ParamLoraCollapse />
       <ParamDynamicPromptsCollapse />
       <ParamNoiseCollapse />

From c8864e475bb9ade26a7c0f0bc5ef96cb3d2ead2f Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sun, 13 Aug 2023 04:34:15 +1200
Subject: [PATCH 186/287] fix: SDXL Lora's not working on Canvas Image To Image

---
 .../util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts    | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
index dac605580d..a45ffe7df5 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
@@ -9,8 +9,8 @@ import {
 } from 'services/api/types';
 import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
-import { addLoRAsToGraph } from './addLoRAsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
+import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
@@ -348,7 +348,7 @@ export const buildCanvasSDXLImageToImageGraph = (
   });
 
   // add LoRA support
-  addLoRAsToGraph(state, graph, SDXL_DENOISE_LATENTS);
+  addSDXLLoRAsToGraph(state, graph, SDXL_DENOISE_LATENTS, SDXL_MODEL_LOADER);
 
   // Add Refiner if enabled
   if (shouldUseSDXLRefiner) {

From 50177b8ed9942041b973d5e0c149804510fba284 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Sun, 13 Aug 2023 08:59:33 +1000
Subject: [PATCH 187/287] Update frontend JS files

---
 .../{App-fd54b7b9.js => App-0a099278.js}      |  2 +-
 ...716.js => ThemeLocaleProvider-1a474d08.js} |  2 +-
 .../{index-815faab3.js => index-deaa1f26.js}  | 42 +++++++++----------
 .../{menu-e9f8a36e.js => menu-b4489359.js}    |  2 +-
 invokeai/frontend/web/dist/index.html         |  2 +-
 5 files changed, 25 insertions(+), 25 deletions(-)
 rename invokeai/frontend/web/dist/assets/{App-fd54b7b9.js => App-0a099278.js} (99%)
 rename invokeai/frontend/web/dist/assets/{ThemeLocaleProvider-139ac716.js => ThemeLocaleProvider-1a474d08.js} (99%)
 rename invokeai/frontend/web/dist/assets/{index-815faab3.js => index-deaa1f26.js} (76%)
 rename invokeai/frontend/web/dist/assets/{menu-e9f8a36e.js => menu-b4489359.js} (99%)

diff --git a/invokeai/frontend/web/dist/assets/App-fd54b7b9.js b/invokeai/frontend/web/dist/assets/App-0a099278.js
similarity index 99%
rename from invokeai/frontend/web/dist/assets/App-fd54b7b9.js
rename to invokeai/frontend/web/dist/assets/App-0a099278.js
index 592be24a90..6ce732787f 100644
--- a/invokeai/frontend/web/dist/assets/App-fd54b7b9.js
+++ b/invokeai/frontend/web/dist/assets/App-0a099278.js
@@ -1,4 +1,4 @@
-import{t as Cv,r as dR,i as kv,a as Tc,b as P_,S as j_,c as I_,d as E_,e as _v,f as O_,g as Pv,h as fR,j as pR,k as hR,l as mR,m as R_,n as gR,o as vR,p as bR,q as M_,s as yR,u as xR,v as wR,w as SR,x as CR,y as kR,z as _R,A as f,B as i,C as cm,D as Lp,E as PR,F as D_,G as A_,H as jR,P as vd,I as X1,J as IR,K as ER,L as OR,M as RR,N as MR,O as DR,Q as AR,R as V2,T as TR,U as Ae,V as je,W as Ct,X as et,Y as bd,Z as mo,_ as Er,$ as Fr,a0 as qn,a1 as hl,a2 as ia,a3 as Ft,a4 as rs,a5 as nc,a6 as za,a7 as um,a8 as Y1,a9 as yd,aa as sr,ab as NR,ac as H,ad as U2,ae as $R,af as jv,ag as Nc,ah as LR,ai as T_,aj as N_,ak as $c,al as zR,am as be,an as Je,ao as Zt,ap as B,aq as BR,ar as G2,as as FR,at as HR,au as q2,av as te,aw as WR,ax as On,ay as Mn,az as Re,aA as W,aB as Ys,aC as lt,aD as Kn,aE as $_,aF as VR,aG as UR,aH as GR,aI as qR,aJ as _i,aK as Q1,aL as Ds,aM as jo,aN as dm,aO as KR,aP as XR,aQ as K2,aR as J1,aS as wa,aT as YR,aU as L_,aV as z_,aW as X2,aX as QR,aY as JR,aZ as B_,a_ as 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diff --git a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-139ac716.js b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-1a474d08.js
similarity index 99%
rename from invokeai/frontend/web/dist/assets/ThemeLocaleProvider-139ac716.js
rename to invokeai/frontend/web/dist/assets/ThemeLocaleProvider-1a474d08.js
index 70d8fbf6f2..73988b1278 100644
--- a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-139ac716.js
+++ b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-1a474d08.js
@@ -1,4 +1,4 @@
-import{B as m,g7 as Je,A as y,a5 as Ka,g8 as Xa,af as va,aj as d,g9 as b,ga as t,gb as Ya,gc as h,gd as ua,ge as Ja,gf as Qa,aL as Za,gg as et,ad as rt,gh as at}from"./index-815faab3.js";import{s as fa,n as o,t as tt,o as ha,p as ot,q as ma,v as ga,w as ya,x as it,y as Sa,z as pa,A as xr,B as nt,D as lt,E as st,F as xa,G as $a,H as ka,J as dt,K as _a,L as ct,M as bt,N as vt,O as ut,Q as wa,R as ft,S as ht,T as mt,U as gt,V as yt,W as St,e as pt,X as xt}from"./menu-e9f8a36e.js";var za=String.raw,Ca=za`
+import{B as m,g7 as Je,A as y,a5 as Ka,g8 as Xa,af as va,aj as d,g9 as b,ga as t,gb as Ya,gc as h,gd as ua,ge as Ja,gf as Qa,aL as Za,gg as et,ad as rt,gh as at}from"./index-deaa1f26.js";import{s as fa,n as o,t as tt,o as ha,p as ot,q as ma,v as ga,w as ya,x as it,y as Sa,z as pa,A as xr,B as nt,D as lt,E as st,F as xa,G as $a,H as ka,J as dt,K as _a,L as ct,M as bt,N as vt,O as ut,Q as wa,R as ft,S as ht,T as mt,U as gt,V as yt,W as St,e as pt,X as xt}from"./menu-b4489359.js";var za=String.raw,Ca=za`
   :root,
   :host {
     --chakra-vh: 100vh;
diff --git a/invokeai/frontend/web/dist/assets/index-815faab3.js b/invokeai/frontend/web/dist/assets/index-deaa1f26.js
similarity index 76%
rename from invokeai/frontend/web/dist/assets/index-815faab3.js
rename to invokeai/frontend/web/dist/assets/index-deaa1f26.js
index ff2607543b..8fd9ea5a60 100644
--- a/invokeai/frontend/web/dist/assets/index-815faab3.js
+++ b/invokeai/frontend/web/dist/assets/index-deaa1f26.js
@@ -6,7 +6,7 @@ function b7(e,t){for(var n=0;n<t.length;n++){const r=t[n];if(typeof r!="string"&
  *
  * This source code is licensed under the MIT license found in the
  * LICENSE file in the root directory of this source tree.
- */var Yg=Symbol.for("react.element"),qY=Symbol.for("react.portal"),KY=Symbol.for("react.fragment"),XY=Symbol.for("react.strict_mode"),YY=Symbol.for("react.profiler"),QY=Symbol.for("react.provider"),ZY=Symbol.for("react.context"),JY=Symbol.for("react.forward_ref"),eQ=Symbol.for("react.suspense"),tQ=Symbol.for("react.memo"),nQ=Symbol.for("react.lazy"),TP=Symbol.iterator;function rQ(e){return e===null||typeof e!="object"?null:(e=TP&&e[TP]||e["@@iterator"],typeof e=="function"?e:null)}var x7={isMounted:function(){return!1},enqueueForceUpdate:function(){},enqueueReplaceState:function(){},enqueueSetState:function(){}},C7=Object.assign,T7={};function Lf(e,t,n){this.props=e,this.context=t,this.refs=T7,this.updater=n||x7}Lf.prototype.isReactComponent={};Lf.prototype.setState=function(e,t){if(typeof e!="object"&&typeof e!="function"&&e!=null)throw Error("setState(...): takes an object of state variables to update or a function which returns an object of state variables.");this.updater.enqueueSetState(this,e,t,"setState")};Lf.prototype.forceUpdate=function(e){this.updater.enqueueForceUpdate(this,e,"forceUpdate")};function E7(){}E7.prototype=Lf.prototype;function Q5(e,t,n){this.props=e,this.context=t,this.refs=T7,this.updater=n||x7}var Z5=Q5.prototype=new E7;Z5.constructor=Q5;C7(Z5,Lf.prototype);Z5.isPureReactComponent=!0;var EP=Array.isArray,A7=Object.prototype.hasOwnProperty,J5={current:null},P7={key:!0,ref:!0,__self:!0,__source:!0};function R7(e,t,n){var r,i={},o=null,s=null;if(t!=null)for(r in t.ref!==void 0&&(s=t.ref),t.key!==void 0&&(o=""+t.key),t)A7.call(t,r)&&!P7.hasOwnProperty(r)&&(i[r]=t[r]);var a=arguments.length-2;if(a===1)i.children=n;else if(1<a){for(var l=Array(a),u=0;u<a;u++)l[u]=arguments[u+2];i.children=l}if(e&&e.defaultProps)for(r in a=e.defaultProps,a)i[r]===void 0&&(i[r]=a[r]);return{$$typeof:Yg,type:e,key:o,ref:s,props:i,_owner:J5.current}}function iQ(e,t){return{$$typeof:Yg,type:e.type,key:t,ref:e.ref,props:e.props,_owner:e._owner}}function e4(e){return typeof e=="object"&&e!==null&&e.$$typeof===Yg}function oQ(e){var t={"=":"=0",":":"=2"};return"$"+e.replace(/[=:]/g,function(n){return t[n]})}var AP=/\/+/g;function Ew(e,t){return typeof e=="object"&&e!==null&&e.key!=null?oQ(""+e.key):t.toString(36)}function Y0(e,t,n,r,i){var o=typeof e;(o==="undefined"||o==="boolean")&&(e=null);var s=!1;if(e===null)s=!0;else switch(o){case"string":case"number":s=!0;break;case"object":switch(e.$$typeof){case Yg:case qY:s=!0}}if(s)return s=e,i=i(s),e=r===""?"."+Ew(s,0):r,EP(i)?(n="",e!=null&&(n=e.replace(AP,"$&/")+"/"),Y0(i,t,n,"",function(u){return u})):i!=null&&(e4(i)&&(i=iQ(i,n+(!i.key||s&&s.key===i.key?"":(""+i.key).replace(AP,"$&/")+"/")+e)),t.push(i)),1;if(s=0,r=r===""?".":r+":",EP(e))for(var a=0;a<e.length;a++){o=e[a];var l=r+Ew(o,a);s+=Y0(o,t,n,l,i)}else if(l=rQ(e),typeof l=="function")for(e=l.call(e),a=0;!(o=e.next()).done;)o=o.value,l=r+Ew(o,a++),s+=Y0(o,t,n,l,i);else if(o==="object")throw t=String(e),Error("Objects are not valid as a React child (found: "+(t==="[object Object]"?"object with keys {"+Object.keys(e).join(", ")+"}":t)+"). 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+ */var Yg=Symbol.for("react.element"),qY=Symbol.for("react.portal"),KY=Symbol.for("react.fragment"),XY=Symbol.for("react.strict_mode"),YY=Symbol.for("react.profiler"),QY=Symbol.for("react.provider"),ZY=Symbol.for("react.context"),JY=Symbol.for("react.forward_ref"),eQ=Symbol.for("react.suspense"),tQ=Symbol.for("react.memo"),nQ=Symbol.for("react.lazy"),TP=Symbol.iterator;function rQ(e){return e===null||typeof e!="object"?null:(e=TP&&e[TP]||e["@@iterator"],typeof e=="function"?e:null)}var x7={isMounted:function(){return!1},enqueueForceUpdate:function(){},enqueueReplaceState:function(){},enqueueSetState:function(){}},C7=Object.assign,T7={};function Lf(e,t,n){this.props=e,this.context=t,this.refs=T7,this.updater=n||x7}Lf.prototype.isReactComponent={};Lf.prototype.setState=function(e,t){if(typeof e!="object"&&typeof e!="function"&&e!=null)throw Error("setState(...): takes an object of state variables to update or a function which returns an object of state variables.");this.updater.enqueueSetState(this,e,t,"setState")};Lf.prototype.forceUpdate=function(e){this.updater.enqueueForceUpdate(this,e,"forceUpdate")};function E7(){}E7.prototype=Lf.prototype;function Q5(e,t,n){this.props=e,this.context=t,this.refs=T7,this.updater=n||x7}var Z5=Q5.prototype=new E7;Z5.constructor=Q5;C7(Z5,Lf.prototype);Z5.isPureReactComponent=!0;var EP=Array.isArray,A7=Object.prototype.hasOwnProperty,J5={current:null},P7={key:!0,ref:!0,__self:!0,__source:!0};function R7(e,t,n){var r,i={},o=null,s=null;if(t!=null)for(r in t.ref!==void 0&&(s=t.ref),t.key!==void 0&&(o=""+t.key),t)A7.call(t,r)&&!P7.hasOwnProperty(r)&&(i[r]=t[r]);var a=arguments.length-2;if(a===1)i.children=n;else if(1<a){for(var l=Array(a),u=0;u<a;u++)l[u]=arguments[u+2];i.children=l}if(e&&e.defaultProps)for(r in a=e.defaultProps,a)i[r]===void 0&&(i[r]=a[r]);return{$$typeof:Yg,type:e,key:o,ref:s,props:i,_owner:J5.current}}function iQ(e,t){return{$$typeof:Yg,type:e.type,key:t,ref:e.ref,props:e.props,_owner:e._owner}}function e4(e){return typeof e=="object"&&e!==null&&e.$$typeof===Yg}function oQ(e){var t={"=":"=0",":":"=2"};return"$"+e.replace(/[=:]/g,function(n){return t[n]})}var AP=/\/+/g;function Ew(e,t){return typeof e=="object"&&e!==null&&e.key!=null?oQ(""+e.key):t.toString(36)}function Y0(e,t,n,r,i){var o=typeof e;(o==="undefined"||o==="boolean")&&(e=null);var s=!1;if(e===null)s=!0;else switch(o){case"string":case"number":s=!0;break;case"object":switch(e.$$typeof){case Yg:case qY:s=!0}}if(s)return s=e,i=i(s),e=r===""?"."+Ew(s,0):r,EP(i)?(n="",e!=null&&(n=e.replace(AP,"$&/")+"/"),Y0(i,t,n,"",function(u){return u})):i!=null&&(e4(i)&&(i=iQ(i,n+(!i.key||s&&s.key===i.key?"":(""+i.key).replace(AP,"$&/")+"/")+e)),t.push(i)),1;if(s=0,r=r===""?".":r+":",EP(e))for(var a=0;a<e.length;a++){o=e[a];var l=r+Ew(o,a);s+=Y0(o,t,n,l,i)}else if(l=rQ(e),typeof l=="function")for(e=l.call(e),a=0;!(o=e.next()).done;)o=o.value,l=r+Ew(o,a++),s+=Y0(o,t,n,l,i);else if(o==="object")throw t=String(e),Error("Objects are not valid as a React child (found: "+(t==="[object Object]"?"object with keys {"+Object.keys(e).join(", ")+"}":t)+"). 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  *
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s.componentDidUpdate!="function"||a===e.memoizedProps&&p===e.memoizedState||(t.flags|=4),typeof s.getSnapshotBeforeUpdate!="function"||a===e.memoizedProps&&p===e.memoizedState||(t.flags|=1024),r=!1)}return YC(e,t,n,r,o,i)}function YC(e,t,n,r,i,o){cN(e,t);var s=(t.flags&128)!==0;if(!r&&!s)return i&&s8(t,n,!1),Pa(e,t,o);r=t.stateNode,qZ.current=t;var a=s&&typeof n.getDerivedStateFromError!="function"?null:r.render();return t.flags|=1,e!==null&&s?(t.child=hf(t,e.child,null,o),t.child=hf(t,null,a,o)):ri(e,t,a,o),t.memoizedState=r.state,i&&s8(t,n,!0),t.child}function dN(e){var t=e.stateNode;t.pendingContext?o8(e,t.pendingContext,t.pendingContext!==t.context):t.context&&o8(e,t.context,!1),T4(e,t.containerInfo)}function w8(e,t,n,r,i){return ff(),_4(i),t.flags|=256,ri(e,t,n,r),t.child}var QC={dehydrated:null,treeContext:null,retryLane:0};function ZC(e){return{baseLanes:e,cachePool:null,transitions:null}}function fN(e,t,n){var r=t.pendingProps,i=mn.current,o=!1,s=(t.flags&128)!==0,a;if((a=s)||(a=e!==null&&e.memoizedState===null?!1:(i&2)!==0),a?(o=!0,t.flags&=-129):(e===null||e.memoizedState!==null)&&(i|=1),Zt(mn,i&1),e===null)return GC(t),e=t.memoizedState,e!==null&&(e=e.dehydrated,e!==null)?(t.mode&1?e.data==="$!"?t.lanes=8:t.lanes=1073741824:t.lanes=1,null):(s=r.children,e=r.fallback,o?(r=t.mode,o=t.child,s={mode:"hidden",children:s},!(r&1)&&o!==null?(o.childLanes=0,o.pendingProps=s):o=N_(s,r,0,null),e=Vu(e,r,n,null),o.return=t,e.return=t,o.sibling=e,t.child=o,t.child.memoizedState=ZC(n),t.memoizedState=QC,e):M4(t,s));if(i=e.memoizedState,i!==null&&(a=i.dehydrated,a!==null))return KZ(e,t,s,r,a,i,n);if(o){o=r.fallback,s=t.mode,i=e.child,a=i.sibling;var l={mode:"hidden",children:r.children};return!(s&1)&&t.child!==i?(r=t.child,r.childLanes=0,r.pendingProps=l,t.deletions=null):(r=Ol(i,l),r.subtreeFlags=i.subtreeFlags&14680064),a!==null?o=Ol(a,o):(o=Vu(o,s,n,null),o.flags|=2),o.return=t,r.return=t,r.sibling=o,t.child=r,r=o,o=t.child,s=e.child.memoizedState,s=s===null?ZC(n):{baseLanes:s.baseLanes|n,cachePool:null,transitions:s.transitions},o.memoizedState=s,o.childLanes=e.childLanes&~n,t.memoizedState=QC,r}return o=e.child,e=o.sibling,r=Ol(o,{mode:"visible",children:r.children}),!(t.mode&1)&&(r.lanes=n),r.return=t,r.sibling=null,e!==null&&(n=t.deletions,n===null?(t.deletions=[e],t.flags|=16):n.push(e)),t.child=r,t.memoizedState=null,r}function M4(e,t){return t=N_({mode:"visible",children:t},e.mode,0,null),t.return=e,e.child=t}function a0(e,t,n,r){return r!==null&&_4(r),hf(t,e.child,null,n),e=M4(t,t.pendingProps.children),e.flags|=2,t.memoizedState=null,e}function KZ(e,t,n,r,i,o,s){if(n)return t.flags&256?(t.flags&=-257,r=Kw(Error(ge(422))),a0(e,t,s,r)):t.memoizedState!==null?(t.child=e.child,t.flags|=128,null):(o=r.fallback,i=t.mode,r=N_({mode:"visible",children:r.children},i,0,null),o=Vu(o,i,s,null),o.flags|=2,r.return=t,o.return=t,r.sibling=o,t.child=r,t.mode&1&&hf(t,e.child,null,s),t.child.memoizedState=ZC(s),t.memoizedState=QC,o);if(!(t.mode&1))return a0(e,t,s,null);if(i.data==="$!"){if(r=i.nextSibling&&i.nextSibling.dataset,r)var a=r.dgst;return r=a,o=Error(ge(419)),r=Kw(o,r,void 0),a0(e,t,s,r)}if(a=(s&e.childLanes)!==0,Si||a){if(r=pr,r!==null){switch(s&-s){case 4:i=2;break;case 16:i=8;break;case 64:case 128:case 256:case 512:case 1024:case 2048:case 4096:case 8192:case 16384:case 32768:case 65536:case 131072:case 262144:case 524288:case 1048576:case 2097152:case 4194304:case 8388608:case 16777216:case 33554432:case 67108864:i=32;break;case 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n=t.child;n!==null;){if(n.tag===5||n.tag===6)e.appendChild(n.stateNode);else if(n.tag!==4&&n.child!==null){n.child.return=n,n=n.child;continue}if(n===t)break;for(;n.sibling===null;){if(n.return===null||n.return===t)return;n=n.return}n.sibling.return=n.return,n=n.sibling}};JC=function(){};gN=function(e,t,n,r){var i=e.memoizedProps;if(i!==r){e=t.stateNode,Lu(As.current);var o=null;switch(n){case"input":i=SC(e,i),r=SC(e,r),o=[];break;case"select":i=bn({},i,{value:void 0}),r=bn({},r,{value:void 0}),o=[];break;case"textarea":i=CC(e,i),r=CC(e,r),o=[];break;default:typeof i.onClick!="function"&&typeof r.onClick=="function"&&(e.onclick=zv)}EC(n,r);var s;n=null;for(u in i)if(!r.hasOwnProperty(u)&&i.hasOwnProperty(u)&&i[u]!=null)if(u==="style"){var a=i[u];for(s in a)a.hasOwnProperty(s)&&(n||(n={}),n[s]="")}else 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r.is=="string"?e=s.createElement(n,{is:r.is}):(e=s.createElement(n),n==="select"&&(s=e,r.multiple?s.multiple=!0:r.size&&(s.size=r.size))):e=s.createElementNS(e,n),e[_s]=t,e[qp]=r,pN(e,t,!1,!1),t.stateNode=e;e:{switch(s=AC(n,r),n){case"dialog":en("cancel",e),en("close",e),i=r;break;case"iframe":case"object":case"embed":en("load",e),i=r;break;case"video":case"audio":for(i=0;i<up.length;i++)en(up[i],e);i=r;break;case"source":en("error",e),i=r;break;case"img":case"image":case"link":en("error",e),en("load",e),i=r;break;case"details":en("toggle",e),i=r;break;case"input":IP(e,r),i=SC(e,r),en("invalid",e);break;case"option":i=r;break;case"select":e._wrapperState={wasMultiple:!!r.multiple},i=bn({},r,{value:void 0}),en("invalid",e);break;case"textarea":NP(e,r),i=CC(e,r),en("invalid",e);break;default:i=r}EC(n,i),a=i;for(o in a)if(a.hasOwnProperty(o)){var l=a[o];o==="style"?W7(e,l):o==="dangerouslySetInnerHTML"?(l=l?l.__html:void 0,l!=null&&G7(e,l)):o==="children"?typeof 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o=n.lanes|n.childLanes;if(BQ(e,o),e===pr&&(jn=pr=null,Or=0),!(n.subtreeFlags&2064)&&!(n.flags&2064)||u0||(u0=!0,RN(Dv,function(){return Wd(),null})),o=(n.flags&15990)!==0,n.subtreeFlags&15990||o){o=bo.transition,bo.transition=null;var s=Dt;Dt=1;var a=vt;vt|=4,N4.current=null,JZ(e,n),bN(n,e),TZ(FC),Fv=!!$C,FC=$C=null,e.current=n,eJ(n),OQ(),vt=a,Dt=s,bo.transition=o}else e.current=n;if(u0&&(u0=!1,_l=e,e1=i),o=e.pendingLanes,o===0&&(Pl=null),MQ(n.stateNode),Ei(e,Mn()),t!==null)for(r=e.onRecoverableError,n=0;n<t.length;n++)i=t[n],r(i.value,{componentStack:i.stack,digest:i.digest});if(Jv)throw Jv=!1,e=i3,i3=null,e;return e1&1&&e.tag!==0&&Wd(),o=e.pendingLanes,o&1?e===o3?Cp++:(Cp=0,o3=e):Cp=0,Zl(),null}function Wd(){if(_l!==null){var e=oM(e1),t=bo.transition,n=Dt;try{if(bo.transition=null,Dt=16>e?16:e,_l===null)var r=!1;else{if(e=_l,_l=null,e1=0,vt&6)throw Error(ge(331));var i=vt;for(vt|=4,Ae=e.current;Ae!==null;){var o=Ae,s=o.child;if(Ae.flags&16){var a=o.deletions;if(a!==null){for(var 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r=[];for(const i of n){if(i.status==="aborted")return je;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return Wr.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:s}=i;if(o.status==="aborted"||s.status==="aborted")return je;o.status==="dirty"&&t.dirty(),s.status==="dirty"&&t.dirty(),(typeof s.value<"u"||i.alwaysSet)&&(r[o.value]=s.value)}return{status:t.value,value:r}}}const je=Object.freeze({status:"aborted"}),jD=e=>({status:"dirty",value:e}),li=e=>({status:"valid",value:e}),T3=e=>e.status==="aborted",E3=e=>e.status==="dirty",p1=e=>e.status==="valid",g1=e=>typeof Promise<"u"&&e instanceof Promise;var Le;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(Le||(Le={}));class 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tt{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return ml(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:ml(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new Wr,ctx:{common:t.parent.common,data:t.data,parsedType:ml(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(g1(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:ml(t)},o=this._parseSync({data:t,path:i.path,parent:i});return M9(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:ml(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(g1(i)?i:Promise.resolve(i));return M9(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const s=t(i),a=()=>o.addIssue({code:me.custom,...r(i)});return typeof Promise<"u"&&s instanceof Promise?s.then(l=>l?!0:(a(),!1)):s?!0:(a(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new ts({schema:this,typeName:Ue.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return _a.create(this,this._def)}nullable(){return ic.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return Yo.create(this,this._def)}promise(){return xf.create(this,this._def)}or(t){return pg.create([this,t],this._def)}and(t){return gg.create(this,t,this._def)}transform(t){return new ts({...Qe(this._def),schema:this,typeName:Ue.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new bg({...Qe(this._def),innerType:this,defaultValue:n,typeName:Ue.ZodDefault})}brand(){return new HD({typeName:Ue.ZodBranded,type:this,...Qe(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new _1({...Qe(this._def),innerType:this,catchValue:n,typeName:Ue.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return hm.create(this,t)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const fle=/^c[^\s-]{8,}$/i,hle=/^[a-z][a-z0-9]*$/,ple=/[0-9A-HJKMNP-TV-Z]{26}/,gle=/^([a-f0-9]{8}-[a-f0-9]{4}-[1-5][a-f0-9]{3}-[a-f0-9]{4}-[a-f0-9]{12}|00000000-0000-0000-0000-000000000000)$/i,mle=/^(([^<>()[\]\\.,;:\s@\"]+(\.[^<>()[\]\\.,;:\s@\"]+)*)|(\".+\"))@((\[(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\])|(\[IPv6:(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))\])|([A-Za-z0-9]([A-Za-z0-9-]*[A-Za-z0-9])*(\.[A-Za-z]{2,})+))$/,yle=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,vle=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,_le=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,ble=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function Sle(e,t){return!!((t==="v4"||!t)&&vle.test(e)||(t==="v6"||!t)&&_le.test(e))}class Ho extends tt{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:me.invalid_string,...Le.errToObj(r)}),this.nonempty=t=>this.min(1,Le.errToObj(t)),this.trim=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==xe.string){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.string,received:o.parsedType}),je}const r=new Wr;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?Te(i,{code:me.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&Te(i,{code:me.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")mle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"email",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")yle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"emoji",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")gle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"uuid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")fle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"cuid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")hle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"cuid2",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")ple.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"ulid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),Te(i,{validation:"url",code:me.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"regex",code:me.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?ble(o).test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?Sle(t.data,o.version)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"ip",code:me.invalid_string,message:o.message}),r.dirty()):wt.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new Ho({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...Le.errToObj(t)})}url(t){return this._addCheck({kind:"url",...Le.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...Le.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...Le.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...Le.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...Le.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...Le.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...Le.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...Le.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...Le.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...Le.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...Le.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...Le.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...Le.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...Le.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...Le.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Ho.create=e=>{var t;return new Ho({checks:[],typeName:Ue.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Qe(e)})};function wle(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class zl extends tt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==xe.number){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.number,received:o.parsedType}),je}let r;const i=new Wr;for(const o of this._def.checks)o.kind==="int"?wt.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Te(r,{code:me.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?wle(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_finite,message:o.message}),i.dirty()):wt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Le.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Le.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Le.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Le.toString(n))}setLimit(t,n,r,i){return new zl({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Le.toString(i)}]})}_addCheck(t){return new zl({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:Le.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:Le.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:Le.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:Le.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:Le.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Le.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:Le.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:Le.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:Le.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&wt.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}zl.create=e=>new zl({checks:[],typeName:Ue.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...Qe(e)});class Vl extends tt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==xe.bigint){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.bigint,received:o.parsedType}),je}let r;const i=new Wr;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):wt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Le.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Le.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Le.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Le.toString(n))}setLimit(t,n,r,i){return new Vl({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Le.toString(i)}]})}_addCheck(t){return new Vl({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:Le.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:Le.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:Le.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:Le.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Le.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Vl.create=e=>{var t;return new Vl({checks:[],typeName:Ue.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Qe(e)})};class dg extends tt{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==xe.boolean){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.boolean,received:r.parsedType}),je}return li(t.data)}}dg.create=e=>new dg({typeName:Ue.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...Qe(e)});class nc extends tt{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==xe.date){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.date,received:o.parsedType}),je}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_date}),je}const r=new Wr;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):wt.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new nc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:Le.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:Le.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}nc.create=e=>new nc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:Ue.ZodDate,...Qe(e)});class m1 extends tt{_parse(t){if(this._getType(t)!==xe.symbol){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.symbol,received:r.parsedType}),je}return li(t.data)}}m1.create=e=>new m1({typeName:Ue.ZodSymbol,...Qe(e)});class fg extends tt{_parse(t){if(this._getType(t)!==xe.undefined){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.undefined,received:r.parsedType}),je}return li(t.data)}}fg.create=e=>new fg({typeName:Ue.ZodUndefined,...Qe(e)});class hg extends tt{_parse(t){if(this._getType(t)!==xe.null){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.null,received:r.parsedType}),je}return li(t.data)}}hg.create=e=>new hg({typeName:Ue.ZodNull,...Qe(e)});class wf extends tt{constructor(){super(...arguments),this._any=!0}_parse(t){return li(t.data)}}wf.create=e=>new wf({typeName:Ue.ZodAny,...Qe(e)});class Gu extends tt{constructor(){super(...arguments),this._unknown=!0}_parse(t){return li(t.data)}}Gu.create=e=>new Gu({typeName:Ue.ZodUnknown,...Qe(e)});class Oa extends tt{_parse(t){const n=this._getOrReturnCtx(t);return Te(n,{code:me.invalid_type,expected:xe.never,received:n.parsedType}),je}}Oa.create=e=>new Oa({typeName:Ue.ZodNever,...Qe(e)});class y1 extends tt{_parse(t){if(this._getType(t)!==xe.undefined){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.void,received:r.parsedType}),je}return li(t.data)}}y1.create=e=>new y1({typeName:Ue.ZodVoid,...Qe(e)});class Yo extends tt{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==xe.array)return Te(n,{code:me.invalid_type,expected:xe.array,received:n.parsedType}),je;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(Te(n,{code:s?me.too_big:me.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(Te(n,{code:me.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(Te(n,{code:me.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new Ms(n,s,n.path,a)))).then(s=>Wr.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new Ms(n,s,n.path,a)));return Wr.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Yo({...this._def,minLength:{value:t,message:Le.toString(n)}})}max(t,n){return new Yo({...this._def,maxLength:{value:t,message:Le.toString(n)}})}length(t,n){return new Yo({...this._def,exactLength:{value:t,message:Le.toString(n)}})}nonempty(t){return this.min(1,t)}}Yo.create=(e,t)=>new Yo({type:e,minLength:null,maxLength:null,exactLength:null,typeName:Ue.ZodArray,...Qe(t)});function yd(e){if(e instanceof gn){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=_a.create(yd(r))}return new gn({...e._def,shape:()=>t})}else return e instanceof Yo?new Yo({...e._def,type:yd(e.element)}):e instanceof _a?_a.create(yd(e.unwrap())):e instanceof ic?ic.create(yd(e.unwrap())):e instanceof Ns?Ns.create(e.items.map(t=>yd(t))):e}class gn extends tt{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=wt.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==xe.object){const u=this._getOrReturnCtx(t);return Te(u,{code:me.invalid_type,expected:xe.object,received:u.parsedType}),je}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof Oa&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const d=o[u],f=i.data[u];l.push({key:{status:"valid",value:u},value:d._parse(new Ms(i,f,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof Oa){const u=this._def.unknownKeys;if(u==="passthrough")for(const d of a)l.push({key:{status:"valid",value:d},value:{status:"valid",value:i.data[d]}});else if(u==="strict")a.length>0&&(Te(i,{code:me.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const d of a){const f=i.data[d];l.push({key:{status:"valid",value:d},value:u._parse(new Ms(i,f,i.path,d)),alwaysSet:d in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const d of l){const f=await d.key;u.push({key:f,value:await d.value,alwaysSet:d.alwaysSet})}return u}).then(u=>Wr.mergeObjectSync(r,u)):Wr.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return Le.errToObj,new gn({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=Le.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new gn({...this._def,unknownKeys:"strip"})}passthrough(){return new gn({...this._def,unknownKeys:"passthrough"})}extend(t){return new gn({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new gn({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:Ue.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new gn({...this._def,catchall:t})}pick(t){const n={};return wt.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new gn({...this._def,shape:()=>n})}omit(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new gn({...this._def,shape:()=>n})}deepPartial(){return yd(this)}partial(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new gn({...this._def,shape:()=>n})}required(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof _a;)o=o._def.innerType;n[r]=o}}),new gn({...this._def,shape:()=>n})}keyof(){return GD(wt.objectKeys(this.shape))}}gn.create=(e,t)=>new gn({shape:()=>e,unknownKeys:"strip",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});gn.strictCreate=(e,t)=>new gn({shape:()=>e,unknownKeys:"strict",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});gn.lazycreate=(e,t)=>new gn({shape:e,unknownKeys:"strip",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});class pg extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new Xo(a.ctx.common.issues));return Te(n,{code:me.invalid_union,unionErrors:s}),je}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},d=l._parseSync({data:n.data,path:n.path,parent:u});if(d.status==="valid")return d;d.status==="dirty"&&!o&&(o={result:d,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new Xo(l));return Te(n,{code:me.invalid_union,unionErrors:a}),je}}get options(){return this._def.options}}pg.create=(e,t)=>new pg({options:e,typeName:Ue.ZodUnion,...Qe(t)});const cv=e=>e instanceof yg?cv(e.schema):e instanceof ts?cv(e.innerType()):e instanceof vg?[e.value]:e instanceof jl?e.options:e instanceof _g?Object.keys(e.enum):e instanceof bg?cv(e._def.innerType):e instanceof fg?[void 0]:e instanceof hg?[null]:null;class ib extends tt{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.object)return Te(n,{code:me.invalid_type,expected:xe.object,received:n.parsedType}),je;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(Te(n,{code:me.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),je)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=cv(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new ib({typeName:Ue.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...Qe(r)})}}function A3(e,t){const n=ml(e),r=ml(t);if(e===t)return{valid:!0,data:e};if(n===xe.object&&r===xe.object){const i=wt.objectKeys(t),o=wt.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=A3(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===xe.array&&r===xe.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=A3(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===xe.date&&r===xe.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class gg extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(T3(o)||T3(s))return je;const a=A3(o.value,s.value);return a.valid?((E3(o)||E3(s))&&n.dirty(),{status:n.value,value:a.data}):(Te(r,{code:me.invalid_intersection_types}),je)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}gg.create=(e,t,n)=>new gg({left:e,right:t,typeName:Ue.ZodIntersection,...Qe(n)});class Ns extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.array)return Te(r,{code:me.invalid_type,expected:xe.array,received:r.parsedType}),je;if(r.data.length<this._def.items.length)return Te(r,{code:me.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),je;!this._def.rest&&r.data.length>this._def.items.length&&(Te(r,{code:me.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new Ms(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>Wr.mergeArray(n,s)):Wr.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new Ns({...this._def,rest:t})}}Ns.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new Ns({items:e,typeName:Ue.ZodTuple,rest:null,...Qe(t)})};class mg extends tt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.object)return Te(r,{code:me.invalid_type,expected:xe.object,received:r.parsedType}),je;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new Ms(r,a,r.path,a)),value:s._parse(new Ms(r,r.data[a],r.path,a))});return r.common.async?Wr.mergeObjectAsync(n,i):Wr.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof tt?new mg({keyType:t,valueType:n,typeName:Ue.ZodRecord,...Qe(r)}):new mg({keyType:Ho.create(),valueType:t,typeName:Ue.ZodRecord,...Qe(n)})}}class v1 extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.map)return Te(r,{code:me.invalid_type,expected:xe.map,received:r.parsedType}),je;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new Ms(r,a,r.path,[u,"key"])),value:o._parse(new Ms(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,d=await l.value;if(u.status==="aborted"||d.status==="aborted")return je;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,d=l.value;if(u.status==="aborted"||d.status==="aborted")return je;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}}}}v1.create=(e,t,n)=>new v1({valueType:t,keyType:e,typeName:Ue.ZodMap,...Qe(n)});class rc extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.set)return Te(r,{code:me.invalid_type,expected:xe.set,received:r.parsedType}),je;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(Te(r,{code:me.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(Te(r,{code:me.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const d of l){if(d.status==="aborted")return je;d.status==="dirty"&&n.dirty(),u.add(d.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new Ms(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new rc({...this._def,minSize:{value:t,message:Le.toString(n)}})}max(t,n){return new rc({...this._def,maxSize:{value:t,message:Le.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}rc.create=(e,t)=>new rc({valueType:e,minSize:null,maxSize:null,typeName:Ue.ZodSet,...Qe(t)});class Jd extends tt{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.function)return Te(n,{code:me.invalid_type,expected:xe.function,received:n.parsedType}),je;function r(a,l){return h1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,f1(),cg].filter(u=>!!u),issueData:{code:me.invalid_arguments,argumentsError:l}})}function i(a,l){return h1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,f1(),cg].filter(u=>!!u),issueData:{code:me.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;return this._def.returns instanceof xf?li(async(...a)=>{const l=new Xo([]),u=await this._def.args.parseAsync(a,o).catch(p=>{throw l.addIssue(r(a,p)),l}),d=await s(...u);return await this._def.returns._def.type.parseAsync(d,o).catch(p=>{throw l.addIssue(i(d,p)),l})}):li((...a)=>{const l=this._def.args.safeParse(a,o);if(!l.success)throw new Xo([r(a,l.error)]);const u=s(...l.data),d=this._def.returns.safeParse(u,o);if(!d.success)throw new Xo([i(u,d.error)]);return d.data})}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new Jd({...this._def,args:Ns.create(t).rest(Gu.create())})}returns(t){return new Jd({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new Jd({args:t||Ns.create([]).rest(Gu.create()),returns:n||Gu.create(),typeName:Ue.ZodFunction,...Qe(r)})}}class yg extends tt{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}yg.create=(e,t)=>new yg({getter:e,typeName:Ue.ZodLazy,...Qe(t)});class vg extends tt{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Te(n,{received:n.data,code:me.invalid_literal,expected:this._def.value}),je}return{status:"valid",value:t.data}}get value(){return this._def.value}}vg.create=(e,t)=>new vg({value:e,typeName:Ue.ZodLiteral,...Qe(t)});function GD(e,t){return new jl({values:e,typeName:Ue.ZodEnum,...Qe(t)})}class jl extends tt{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Te(n,{expected:wt.joinValues(r),received:n.parsedType,code:me.invalid_type}),je}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Te(n,{received:n.data,code:me.invalid_enum_value,options:r}),je}return li(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return jl.create(t)}exclude(t){return jl.create(this.options.filter(n=>!t.includes(n)))}}jl.create=GD;class _g extends tt{_parse(t){const n=wt.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==xe.string&&r.parsedType!==xe.number){const i=wt.objectValues(n);return Te(r,{expected:wt.joinValues(i),received:r.parsedType,code:me.invalid_type}),je}if(n.indexOf(t.data)===-1){const i=wt.objectValues(n);return Te(r,{received:r.data,code:me.invalid_enum_value,options:i}),je}return li(t.data)}get enum(){return this._def.values}}_g.create=(e,t)=>new _g({values:e,typeName:Ue.ZodNativeEnum,...Qe(t)});class xf extends tt{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.promise&&n.common.async===!1)return Te(n,{code:me.invalid_type,expected:xe.promise,received:n.parsedType}),je;const r=n.parsedType===xe.promise?n.data:Promise.resolve(n.data);return li(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}xf.create=(e,t)=>new xf({type:e,typeName:Ue.ZodPromise,...Qe(t)});class ts extends tt{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===Ue.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null;if(i.type==="preprocess"){const s=i.transform(r.data);return r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}const o={addIssue:s=>{Te(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?je:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?je:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!p1(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>p1(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);wt.assertNever(i)}}ts.create=(e,t,n)=>new ts({schema:e,typeName:Ue.ZodEffects,effect:t,...Qe(n)});ts.createWithPreprocess=(e,t,n)=>new ts({schema:t,effect:{type:"preprocess",transform:e},typeName:Ue.ZodEffects,...Qe(n)});class _a extends tt{_parse(t){return this._getType(t)===xe.undefined?li(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}_a.create=(e,t)=>new _a({innerType:e,typeName:Ue.ZodOptional,...Qe(t)});class ic extends tt{_parse(t){return this._getType(t)===xe.null?li(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}ic.create=(e,t)=>new ic({innerType:e,typeName:Ue.ZodNullable,...Qe(t)});class bg extends tt{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===xe.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}bg.create=(e,t)=>new bg({innerType:e,typeName:Ue.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...Qe(t)});class _1 extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return g1(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new Xo(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new Xo(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}_1.create=(e,t)=>new _1({innerType:e,typeName:Ue.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...Qe(t)});class b1 extends tt{_parse(t){if(this._getType(t)!==xe.nan){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.nan,received:r.parsedType}),je}return{status:"valid",value:t.data}}}b1.create=e=>new b1({typeName:Ue.ZodNaN,...Qe(e)});const xle=Symbol("zod_brand");class HD extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class hm extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?je:o.status==="dirty"?(n.dirty(),jD(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?je:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new hm({in:t,out:n,typeName:Ue.ZodPipeline})}}const WD=(e,t={},n)=>e?wf.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):wf.create(),Cle={object:gn.lazycreate};var Ue;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline"})(Ue||(Ue={}));const Tle=(e,t={message:`Input not instance of ${e.name}`})=>WD(n=>n instanceof e,t),qD=Ho.create,KD=zl.create,Ele=b1.create,Ale=Vl.create,XD=dg.create,Ple=nc.create,Rle=m1.create,Ole=fg.create,kle=hg.create,Ile=wf.create,Mle=Gu.create,Nle=Oa.create,Lle=y1.create,Dle=Yo.create,$le=gn.create,Fle=gn.strictCreate,Ble=pg.create,Ule=ib.create,zle=gg.create,Vle=Ns.create,jle=mg.create,Gle=v1.create,Hle=rc.create,Wle=Jd.create,qle=yg.create,Kle=vg.create,Xle=jl.create,Yle=_g.create,Qle=xf.create,N9=ts.create,Zle=_a.create,Jle=ic.create,eue=ts.createWithPreprocess,tue=hm.create,nue=()=>qD().optional(),rue=()=>KD().optional(),iue=()=>XD().optional(),oue={string:e=>Ho.create({...e,coerce:!0}),number:e=>zl.create({...e,coerce:!0}),boolean:e=>dg.create({...e,coerce:!0}),bigint:e=>Vl.create({...e,coerce:!0}),date:e=>nc.create({...e,coerce:!0})},sue=je;var xt=Object.freeze({__proto__:null,defaultErrorMap:cg,setErrorMap:cle,getErrorMap:f1,makeIssue:h1,EMPTY_PATH:dle,addIssueToContext:Te,ParseStatus:Wr,INVALID:je,DIRTY:jD,OK:li,isAborted:T3,isDirty:E3,isValid:p1,isAsync:g1,get util(){return wt},get objectUtil(){return C3},ZodParsedType:xe,getParsedType:ml,ZodType:tt,ZodString:Ho,ZodNumber:zl,ZodBigInt:Vl,ZodBoolean:dg,ZodDate:nc,ZodSymbol:m1,ZodUndefined:fg,ZodNull:hg,ZodAny:wf,ZodUnknown:Gu,ZodNever:Oa,ZodVoid:y1,ZodArray:Yo,ZodObject:gn,ZodUnion:pg,ZodDiscriminatedUnion:ib,ZodIntersection:gg,ZodTuple:Ns,ZodRecord:mg,ZodMap:v1,ZodSet:rc,ZodFunction:Jd,ZodLazy:yg,ZodLiteral:vg,ZodEnum:jl,ZodNativeEnum:_g,ZodPromise:xf,ZodEffects:ts,ZodTransformer:ts,ZodOptional:_a,ZodNullable:ic,ZodDefault:bg,ZodCatch:_1,ZodNaN:b1,BRAND:xle,ZodBranded:HD,ZodPipeline:hm,custom:WD,Schema:tt,ZodSchema:tt,late:Cle,get ZodFirstPartyTypeKind(){return Ue},coerce:oue,any:Ile,array:Dle,bigint:Ale,boolean:XD,date:Ple,discriminatedUnion:Ule,effect:N9,enum:Xle,function:Wle,instanceof:Tle,intersection:zle,lazy:qle,literal:Kle,map:Gle,nan:Ele,nativeEnum:Yle,never:Nle,null:kle,nullable:Jle,number:KD,object:$le,oboolean:iue,onumber:rue,optional:Zle,ostring:nue,pipeline:tue,preprocess:eue,promise:Qle,record:jle,set:Hle,strictObject:Fle,string:qD,symbol:Rle,transformer:N9,tuple:Vle,undefined:Ole,union:Ble,unknown:Mle,void:Lle,NEVER:sue,ZodIssueCode:me,quotelessJson:ule,ZodError:Xo});const aue=xt.string(),iRe=e=>aue.safeParse(e).success,lue=xt.string(),oRe=e=>lue.safeParse(e).success,uue=xt.string(),sRe=e=>uue.safeParse(e).success,cue=xt.string(),aRe=e=>cue.safeParse(e).success,due=xt.number().int().min(1),lRe=e=>due.safeParse(e).success,fue=xt.number().min(1),uRe=e=>fue.safeParse(e).success,hue=xt.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),cRe=e=>hue.safeParse(e).success,dRe={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler Ancestral",kdpm_2_a:"KDPM 2 Ancestral"},pue=xt.number().int().min(0).max(lle),fRe=e=>pue.safeParse(e).success,gue=xt.number().multipleOf(8).min(64),hRe=e=>gue.safeParse(e).success,mue=xt.number().multipleOf(8).min(64),pRe=e=>mue.safeParse(e).success,pm=xt.enum(["sd-1","sd-2","sdxl","sdxl-refiner"]),ST=xt.object({model_name:xt.string().min(1),base_model:pm,model_type:xt.literal("main")}),gRe=e=>ST.safeParse(e).success,YD=xt.object({model_name:xt.string().min(1),base_model:xt.literal("sdxl-refiner"),model_type:xt.literal("main")}),mRe=e=>YD.safeParse(e).success,yue=xt.object({model_name:xt.string().min(1),base_model:pm,model_type:xt.literal("onnx")}),QD=xt.union([ST,yue]),vue=xt.object({model_name:xt.string().min(1),base_model:pm}),yRe=xt.object({model_name:xt.string().min(1),base_model:pm}),vRe=xt.object({model_name:xt.string().min(1),base_model:pm}),_ue=xt.number().min(0).max(1),_Re=e=>_ue.safeParse(e).success;xt.enum(["fp16","fp32"]);const bue=xt.number().min(1).max(10),bRe=e=>bue.safeParse(e).success,Sue=xt.number().min(0).max(1),SRe=e=>Sue.safeParse(e).success,Da={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",seamBlur:16,seamSize:96,seamSteps:30,seamStrength:.7,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,shouldUseNoiseSettings:!1,steps:50,threshold:0,tileSize:32,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null},wue=Da,ZD=yn({name:"generation",initialState:wue,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=bl(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=bl(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...Da}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 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n=t.child;n!==null;){if(n.tag===5||n.tag===6)e.appendChild(n.stateNode);else if(n.tag!==4&&n.child!==null){n.child.return=n,n=n.child;continue}if(n===t)break;for(;n.sibling===null;){if(n.return===null||n.return===t)return;n=n.return}n.sibling.return=n.return,n=n.sibling}};JC=function(){};gN=function(e,t,n,r){var i=e.memoizedProps;if(i!==r){e=t.stateNode,Lu(As.current);var o=null;switch(n){case"input":i=SC(e,i),r=SC(e,r),o=[];break;case"select":i=bn({},i,{value:void 0}),r=bn({},r,{value:void 0}),o=[];break;case"textarea":i=CC(e,i),r=CC(e,r),o=[];break;default:typeof i.onClick!="function"&&typeof r.onClick=="function"&&(e.onclick=zv)}EC(n,r);var s;n=null;for(u in i)if(!r.hasOwnProperty(u)&&i.hasOwnProperty(u)&&i[u]!=null)if(u==="style"){var a=i[u];for(s in a)a.hasOwnProperty(s)&&(n||(n={}),n[s]="")}else 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i)Object.prototype.hasOwnProperty.call(i,s)&&o.push(s);return o},e.find=(i,o)=>{for(const s of i)if(o(s))return s},e.isInteger=typeof Number.isInteger=="function"?i=>Number.isInteger(i):i=>typeof i=="number"&&isFinite(i)&&Math.floor(i)===i;function r(i,o=" | "){return i.map(s=>typeof s=="string"?`'${s}'`:s).join(o)}e.joinValues=r,e.jsonStringifyReplacer=(i,o)=>typeof o=="bigint"?o.toString():o})(wt||(wt={}));var C3;(function(e){e.mergeShapes=(t,n)=>({...t,...n})})(C3||(C3={}));const xe=wt.arrayToEnum(["string","nan","number","integer","float","boolean","date","bigint","symbol","function","undefined","null","array","object","unknown","promise","void","never","map","set"]),ml=e=>{switch(typeof e){case"undefined":return xe.undefined;case"string":return xe.string;case"number":return isNaN(e)?xe.nan:xe.number;case"boolean":return xe.boolean;case"function":return xe.function;case"bigint":return xe.bigint;case"symbol":return xe.symbol;case"object":return Array.isArray(e)?xe.array:e===null?xe.null:e.then&&typeof e.then=="function"&&e.catch&&typeof e.catch=="function"?xe.promise:typeof Map<"u"&&e instanceof Map?xe.map:typeof Set<"u"&&e instanceof Set?xe.set:typeof Date<"u"&&e instanceof Date?xe.date:xe.object;default:return xe.unknown}},me=wt.arrayToEnum(["invalid_type","invalid_literal","custom","invalid_union","invalid_union_discriminator","invalid_enum_value","unrecognized_keys","invalid_arguments","invalid_return_type","invalid_date","invalid_string","too_small","too_big","invalid_intersection_types","not_multiple_of","not_finite"]),ule=e=>JSON.stringify(e,null,2).replace(/"([^"]+)":/g,"$1:");class Xo extends Error{constructor(t){super(),this.issues=[],this.addIssue=r=>{this.issues=[...this.issues,r]},this.addIssues=(r=[])=>{this.issues=[...this.issues,...r]};const n=new.target.prototype;Object.setPrototypeOf?Object.setPrototypeOf(this,n):this.__proto__=n,this.name="ZodError",this.issues=t}get errors(){return this.issues}format(t){const n=t||function(o){return o.message},r={_errors:[]},i=o=>{for(const s of o.issues)if(s.code==="invalid_union")s.unionErrors.map(i);else if(s.code==="invalid_return_type")i(s.returnTypeError);else if(s.code==="invalid_arguments")i(s.argumentsError);else if(s.path.length===0)r._errors.push(n(s));else{let a=r,l=0;for(;l<s.path.length;){const u=s.path[l];l===s.path.length-1?(a[u]=a[u]||{_errors:[]},a[u]._errors.push(n(s))):a[u]=a[u]||{_errors:[]},a=a[u],l++}}};return i(this),r}toString(){return this.message}get message(){return JSON.stringify(this.issues,wt.jsonStringifyReplacer,2)}get isEmpty(){return this.issues.length===0}flatten(t=n=>n.message){const n={},r=[];for(const i of this.issues)i.path.length>0?(n[i.path[0]]=n[i.path[0]]||[],n[i.path[0]].push(t(i))):r.push(t(i));return{formErrors:r,fieldErrors:n}}get formErrors(){return this.flatten()}}Xo.create=e=>new Xo(e);const cg=(e,t)=>{let n;switch(e.code){case me.invalid_type:e.received===xe.undefined?n="Required":n=`Expected ${e.expected}, received ${e.received}`;break;case me.invalid_literal:n=`Invalid literal value, expected ${JSON.stringify(e.expected,wt.jsonStringifyReplacer)}`;break;case me.unrecognized_keys:n=`Unrecognized key(s) in object: ${wt.joinValues(e.keys,", ")}`;break;case me.invalid_union:n="Invalid input";break;case me.invalid_union_discriminator:n=`Invalid discriminator value. Expected ${wt.joinValues(e.options)}`;break;case me.invalid_enum_value:n=`Invalid enum value. 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r=[];for(const i of n){if(i.status==="aborted")return je;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return Wr.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:s}=i;if(o.status==="aborted"||s.status==="aborted")return je;o.status==="dirty"&&t.dirty(),s.status==="dirty"&&t.dirty(),(typeof s.value<"u"||i.alwaysSet)&&(r[o.value]=s.value)}return{status:t.value,value:r}}}const je=Object.freeze({status:"aborted"}),jD=e=>({status:"dirty",value:e}),ui=e=>({status:"valid",value:e}),T3=e=>e.status==="aborted",E3=e=>e.status==="dirty",p1=e=>e.status==="valid",g1=e=>typeof Promise<"u"&&e instanceof Promise;var Le;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(Le||(Le={}));class 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tt{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return ml(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:ml(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new Wr,ctx:{common:t.parent.common,data:t.data,parsedType:ml(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(g1(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:ml(t)},o=this._parseSync({data:t,path:i.path,parent:i});return M9(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:ml(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(g1(i)?i:Promise.resolve(i));return M9(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const s=t(i),a=()=>o.addIssue({code:me.custom,...r(i)});return typeof Promise<"u"&&s instanceof Promise?s.then(l=>l?!0:(a(),!1)):s?!0:(a(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new ts({schema:this,typeName:Ue.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return _a.create(this,this._def)}nullable(){return ic.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return 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RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function Sle(e,t){return!!((t==="v4"||!t)&&vle.test(e)||(t==="v6"||!t)&&_le.test(e))}class Ho extends tt{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:me.invalid_string,...Le.errToObj(r)}),this.nonempty=t=>this.min(1,Le.errToObj(t)),this.trim=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==xe.string){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.string,received:o.parsedType}),je}const r=new Wr;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?Te(i,{code:me.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&Te(i,{code:me.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")mle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"email",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")yle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"emoji",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")gle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"uuid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")fle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"cuid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")hle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"cuid2",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")ple.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"ulid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),Te(i,{validation:"url",code:me.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"regex",code:me.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?ble(o).test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?Sle(t.data,o.version)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"ip",code:me.invalid_string,message:o.message}),r.dirty()):wt.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new Ho({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...Le.errToObj(t)})}url(t){return this._addCheck({kind:"url",...Le.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...Le.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...Le.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...Le.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...Le.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...Le.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...Le.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...Le.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...Le.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...Le.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...Le.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...Le.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...Le.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...Le.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...Le.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Ho.create=e=>{var t;return new Ho({checks:[],typeName:Ue.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Qe(e)})};function wle(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class zl extends tt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==xe.number){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.number,received:o.parsedType}),je}let r;const i=new Wr;for(const o of this._def.checks)o.kind==="int"?wt.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Te(r,{code:me.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?wle(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_finite,message:o.message}),i.dirty()):wt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Le.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Le.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Le.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Le.toString(n))}setLimit(t,n,r,i){return new zl({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Le.toString(i)}]})}_addCheck(t){return new zl({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:Le.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:Le.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:Le.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:Le.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:Le.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Le.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:Le.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:Le.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:Le.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&wt.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}zl.create=e=>new zl({checks:[],typeName:Ue.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...Qe(e)});class Vl extends tt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==xe.bigint){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.bigint,received:o.parsedType}),je}let r;const i=new Wr;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):wt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Le.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Le.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Le.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Le.toString(n))}setLimit(t,n,r,i){return new Vl({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Le.toString(i)}]})}_addCheck(t){return new Vl({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:Le.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:Le.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:Le.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:Le.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Le.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Vl.create=e=>{var t;return new Vl({checks:[],typeName:Ue.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Qe(e)})};class dg extends tt{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==xe.boolean){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.boolean,received:r.parsedType}),je}return ui(t.data)}}dg.create=e=>new dg({typeName:Ue.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...Qe(e)});class nc extends tt{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==xe.date){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.date,received:o.parsedType}),je}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_date}),je}const r=new Wr;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):wt.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new nc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:Le.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:Le.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}nc.create=e=>new nc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:Ue.ZodDate,...Qe(e)});class m1 extends tt{_parse(t){if(this._getType(t)!==xe.symbol){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.symbol,received:r.parsedType}),je}return ui(t.data)}}m1.create=e=>new m1({typeName:Ue.ZodSymbol,...Qe(e)});class fg extends tt{_parse(t){if(this._getType(t)!==xe.undefined){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.undefined,received:r.parsedType}),je}return ui(t.data)}}fg.create=e=>new fg({typeName:Ue.ZodUndefined,...Qe(e)});class hg extends tt{_parse(t){if(this._getType(t)!==xe.null){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.null,received:r.parsedType}),je}return ui(t.data)}}hg.create=e=>new hg({typeName:Ue.ZodNull,...Qe(e)});class wf extends tt{constructor(){super(...arguments),this._any=!0}_parse(t){return ui(t.data)}}wf.create=e=>new wf({typeName:Ue.ZodAny,...Qe(e)});class Gu extends tt{constructor(){super(...arguments),this._unknown=!0}_parse(t){return ui(t.data)}}Gu.create=e=>new Gu({typeName:Ue.ZodUnknown,...Qe(e)});class Oa extends tt{_parse(t){const n=this._getOrReturnCtx(t);return Te(n,{code:me.invalid_type,expected:xe.never,received:n.parsedType}),je}}Oa.create=e=>new Oa({typeName:Ue.ZodNever,...Qe(e)});class y1 extends tt{_parse(t){if(this._getType(t)!==xe.undefined){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.void,received:r.parsedType}),je}return ui(t.data)}}y1.create=e=>new y1({typeName:Ue.ZodVoid,...Qe(e)});class Yo extends tt{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==xe.array)return Te(n,{code:me.invalid_type,expected:xe.array,received:n.parsedType}),je;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(Te(n,{code:s?me.too_big:me.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(Te(n,{code:me.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(Te(n,{code:me.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new Ms(n,s,n.path,a)))).then(s=>Wr.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new Ms(n,s,n.path,a)));return Wr.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Yo({...this._def,minLength:{value:t,message:Le.toString(n)}})}max(t,n){return new Yo({...this._def,maxLength:{value:t,message:Le.toString(n)}})}length(t,n){return new Yo({...this._def,exactLength:{value:t,message:Le.toString(n)}})}nonempty(t){return this.min(1,t)}}Yo.create=(e,t)=>new Yo({type:e,minLength:null,maxLength:null,exactLength:null,typeName:Ue.ZodArray,...Qe(t)});function yd(e){if(e instanceof gn){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=_a.create(yd(r))}return new gn({...e._def,shape:()=>t})}else return e instanceof Yo?new Yo({...e._def,type:yd(e.element)}):e instanceof _a?_a.create(yd(e.unwrap())):e instanceof ic?ic.create(yd(e.unwrap())):e instanceof Ns?Ns.create(e.items.map(t=>yd(t))):e}class gn extends tt{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=wt.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==xe.object){const u=this._getOrReturnCtx(t);return Te(u,{code:me.invalid_type,expected:xe.object,received:u.parsedType}),je}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof Oa&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const d=o[u],f=i.data[u];l.push({key:{status:"valid",value:u},value:d._parse(new Ms(i,f,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof Oa){const u=this._def.unknownKeys;if(u==="passthrough")for(const d of a)l.push({key:{status:"valid",value:d},value:{status:"valid",value:i.data[d]}});else if(u==="strict")a.length>0&&(Te(i,{code:me.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const d of a){const f=i.data[d];l.push({key:{status:"valid",value:d},value:u._parse(new Ms(i,f,i.path,d)),alwaysSet:d in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const d of l){const f=await d.key;u.push({key:f,value:await d.value,alwaysSet:d.alwaysSet})}return u}).then(u=>Wr.mergeObjectSync(r,u)):Wr.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return Le.errToObj,new gn({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=Le.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new gn({...this._def,unknownKeys:"strip"})}passthrough(){return new gn({...this._def,unknownKeys:"passthrough"})}extend(t){return new gn({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new gn({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:Ue.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new gn({...this._def,catchall:t})}pick(t){const n={};return wt.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new gn({...this._def,shape:()=>n})}omit(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new gn({...this._def,shape:()=>n})}deepPartial(){return yd(this)}partial(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new gn({...this._def,shape:()=>n})}required(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof _a;)o=o._def.innerType;n[r]=o}}),new gn({...this._def,shape:()=>n})}keyof(){return GD(wt.objectKeys(this.shape))}}gn.create=(e,t)=>new gn({shape:()=>e,unknownKeys:"strip",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});gn.strictCreate=(e,t)=>new gn({shape:()=>e,unknownKeys:"strict",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});gn.lazycreate=(e,t)=>new gn({shape:e,unknownKeys:"strip",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});class pg extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new Xo(a.ctx.common.issues));return Te(n,{code:me.invalid_union,unionErrors:s}),je}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},d=l._parseSync({data:n.data,path:n.path,parent:u});if(d.status==="valid")return d;d.status==="dirty"&&!o&&(o={result:d,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new Xo(l));return Te(n,{code:me.invalid_union,unionErrors:a}),je}}get options(){return this._def.options}}pg.create=(e,t)=>new pg({options:e,typeName:Ue.ZodUnion,...Qe(t)});const cv=e=>e instanceof yg?cv(e.schema):e instanceof ts?cv(e.innerType()):e instanceof vg?[e.value]:e instanceof jl?e.options:e instanceof _g?Object.keys(e.enum):e instanceof bg?cv(e._def.innerType):e instanceof fg?[void 0]:e instanceof hg?[null]:null;class ib extends tt{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.object)return Te(n,{code:me.invalid_type,expected:xe.object,received:n.parsedType}),je;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(Te(n,{code:me.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),je)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=cv(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new ib({typeName:Ue.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...Qe(r)})}}function A3(e,t){const n=ml(e),r=ml(t);if(e===t)return{valid:!0,data:e};if(n===xe.object&&r===xe.object){const i=wt.objectKeys(t),o=wt.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=A3(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===xe.array&&r===xe.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=A3(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===xe.date&&r===xe.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class gg extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(T3(o)||T3(s))return je;const a=A3(o.value,s.value);return a.valid?((E3(o)||E3(s))&&n.dirty(),{status:n.value,value:a.data}):(Te(r,{code:me.invalid_intersection_types}),je)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}gg.create=(e,t,n)=>new gg({left:e,right:t,typeName:Ue.ZodIntersection,...Qe(n)});class Ns extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.array)return Te(r,{code:me.invalid_type,expected:xe.array,received:r.parsedType}),je;if(r.data.length<this._def.items.length)return Te(r,{code:me.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),je;!this._def.rest&&r.data.length>this._def.items.length&&(Te(r,{code:me.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new Ms(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>Wr.mergeArray(n,s)):Wr.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new Ns({...this._def,rest:t})}}Ns.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new Ns({items:e,typeName:Ue.ZodTuple,rest:null,...Qe(t)})};class mg extends tt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.object)return Te(r,{code:me.invalid_type,expected:xe.object,received:r.parsedType}),je;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new Ms(r,a,r.path,a)),value:s._parse(new Ms(r,r.data[a],r.path,a))});return r.common.async?Wr.mergeObjectAsync(n,i):Wr.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof tt?new mg({keyType:t,valueType:n,typeName:Ue.ZodRecord,...Qe(r)}):new mg({keyType:Ho.create(),valueType:t,typeName:Ue.ZodRecord,...Qe(n)})}}class v1 extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.map)return Te(r,{code:me.invalid_type,expected:xe.map,received:r.parsedType}),je;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new Ms(r,a,r.path,[u,"key"])),value:o._parse(new Ms(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,d=await l.value;if(u.status==="aborted"||d.status==="aborted")return je;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,d=l.value;if(u.status==="aborted"||d.status==="aborted")return je;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}}}}v1.create=(e,t,n)=>new v1({valueType:t,keyType:e,typeName:Ue.ZodMap,...Qe(n)});class rc extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.set)return Te(r,{code:me.invalid_type,expected:xe.set,received:r.parsedType}),je;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(Te(r,{code:me.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(Te(r,{code:me.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const d of l){if(d.status==="aborted")return je;d.status==="dirty"&&n.dirty(),u.add(d.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new Ms(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new rc({...this._def,minSize:{value:t,message:Le.toString(n)}})}max(t,n){return new rc({...this._def,maxSize:{value:t,message:Le.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}rc.create=(e,t)=>new rc({valueType:e,minSize:null,maxSize:null,typeName:Ue.ZodSet,...Qe(t)});class Jd extends tt{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.function)return Te(n,{code:me.invalid_type,expected:xe.function,received:n.parsedType}),je;function r(a,l){return h1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,f1(),cg].filter(u=>!!u),issueData:{code:me.invalid_arguments,argumentsError:l}})}function i(a,l){return h1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,f1(),cg].filter(u=>!!u),issueData:{code:me.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;return this._def.returns instanceof xf?ui(async(...a)=>{const l=new Xo([]),u=await this._def.args.parseAsync(a,o).catch(p=>{throw l.addIssue(r(a,p)),l}),d=await s(...u);return await this._def.returns._def.type.parseAsync(d,o).catch(p=>{throw l.addIssue(i(d,p)),l})}):ui((...a)=>{const l=this._def.args.safeParse(a,o);if(!l.success)throw new Xo([r(a,l.error)]);const u=s(...l.data),d=this._def.returns.safeParse(u,o);if(!d.success)throw new Xo([i(u,d.error)]);return d.data})}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new Jd({...this._def,args:Ns.create(t).rest(Gu.create())})}returns(t){return new Jd({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new Jd({args:t||Ns.create([]).rest(Gu.create()),returns:n||Gu.create(),typeName:Ue.ZodFunction,...Qe(r)})}}class yg extends tt{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}yg.create=(e,t)=>new yg({getter:e,typeName:Ue.ZodLazy,...Qe(t)});class vg extends tt{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Te(n,{received:n.data,code:me.invalid_literal,expected:this._def.value}),je}return{status:"valid",value:t.data}}get value(){return this._def.value}}vg.create=(e,t)=>new vg({value:e,typeName:Ue.ZodLiteral,...Qe(t)});function GD(e,t){return new jl({values:e,typeName:Ue.ZodEnum,...Qe(t)})}class jl extends tt{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Te(n,{expected:wt.joinValues(r),received:n.parsedType,code:me.invalid_type}),je}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Te(n,{received:n.data,code:me.invalid_enum_value,options:r}),je}return ui(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return jl.create(t)}exclude(t){return jl.create(this.options.filter(n=>!t.includes(n)))}}jl.create=GD;class _g extends tt{_parse(t){const n=wt.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==xe.string&&r.parsedType!==xe.number){const i=wt.objectValues(n);return Te(r,{expected:wt.joinValues(i),received:r.parsedType,code:me.invalid_type}),je}if(n.indexOf(t.data)===-1){const i=wt.objectValues(n);return Te(r,{received:r.data,code:me.invalid_enum_value,options:i}),je}return ui(t.data)}get enum(){return this._def.values}}_g.create=(e,t)=>new _g({values:e,typeName:Ue.ZodNativeEnum,...Qe(t)});class xf extends tt{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.promise&&n.common.async===!1)return Te(n,{code:me.invalid_type,expected:xe.promise,received:n.parsedType}),je;const r=n.parsedType===xe.promise?n.data:Promise.resolve(n.data);return ui(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}xf.create=(e,t)=>new xf({type:e,typeName:Ue.ZodPromise,...Qe(t)});class ts extends tt{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===Ue.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null;if(i.type==="preprocess"){const s=i.transform(r.data);return r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}const o={addIssue:s=>{Te(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?je:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?je:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!p1(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>p1(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);wt.assertNever(i)}}ts.create=(e,t,n)=>new ts({schema:e,typeName:Ue.ZodEffects,effect:t,...Qe(n)});ts.createWithPreprocess=(e,t,n)=>new ts({schema:t,effect:{type:"preprocess",transform:e},typeName:Ue.ZodEffects,...Qe(n)});class _a extends tt{_parse(t){return this._getType(t)===xe.undefined?ui(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}_a.create=(e,t)=>new _a({innerType:e,typeName:Ue.ZodOptional,...Qe(t)});class ic extends tt{_parse(t){return this._getType(t)===xe.null?ui(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}ic.create=(e,t)=>new ic({innerType:e,typeName:Ue.ZodNullable,...Qe(t)});class bg extends tt{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===xe.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}bg.create=(e,t)=>new bg({innerType:e,typeName:Ue.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...Qe(t)});class _1 extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return g1(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new Xo(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new Xo(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}_1.create=(e,t)=>new _1({innerType:e,typeName:Ue.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...Qe(t)});class b1 extends tt{_parse(t){if(this._getType(t)!==xe.nan){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.nan,received:r.parsedType}),je}return{status:"valid",value:t.data}}}b1.create=e=>new b1({typeName:Ue.ZodNaN,...Qe(e)});const xle=Symbol("zod_brand");class HD extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class hm extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?je:o.status==="dirty"?(n.dirty(),jD(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?je:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new hm({in:t,out:n,typeName:Ue.ZodPipeline})}}const WD=(e,t={},n)=>e?wf.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):wf.create(),Cle={object:gn.lazycreate};var Ue;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline"})(Ue||(Ue={}));const Tle=(e,t={message:`Input not instance of ${e.name}`})=>WD(n=>n instanceof e,t),qD=Ho.create,KD=zl.create,Ele=b1.create,Ale=Vl.create,XD=dg.create,Ple=nc.create,Rle=m1.create,Ole=fg.create,kle=hg.create,Ile=wf.create,Mle=Gu.create,Nle=Oa.create,Lle=y1.create,Dle=Yo.create,$le=gn.create,Fle=gn.strictCreate,Ble=pg.create,Ule=ib.create,zle=gg.create,Vle=Ns.create,jle=mg.create,Gle=v1.create,Hle=rc.create,Wle=Jd.create,qle=yg.create,Kle=vg.create,Xle=jl.create,Yle=_g.create,Qle=xf.create,N9=ts.create,Zle=_a.create,Jle=ic.create,eue=ts.createWithPreprocess,tue=hm.create,nue=()=>qD().optional(),rue=()=>KD().optional(),iue=()=>XD().optional(),oue={string:e=>Ho.create({...e,coerce:!0}),number:e=>zl.create({...e,coerce:!0}),boolean:e=>dg.create({...e,coerce:!0}),bigint:e=>Vl.create({...e,coerce:!0}),date:e=>nc.create({...e,coerce:!0})},sue=je;var xt=Object.freeze({__proto__:null,defaultErrorMap:cg,setErrorMap:cle,getErrorMap:f1,makeIssue:h1,EMPTY_PATH:dle,addIssueToContext:Te,ParseStatus:Wr,INVALID:je,DIRTY:jD,OK:ui,isAborted:T3,isDirty:E3,isValid:p1,isAsync:g1,get util(){return wt},get objectUtil(){return C3},ZodParsedType:xe,getParsedType:ml,ZodType:tt,ZodString:Ho,ZodNumber:zl,ZodBigInt:Vl,ZodBoolean:dg,ZodDate:nc,ZodSymbol:m1,ZodUndefined:fg,ZodNull:hg,ZodAny:wf,ZodUnknown:Gu,ZodNever:Oa,ZodVoid:y1,ZodArray:Yo,ZodObject:gn,ZodUnion:pg,ZodDiscriminatedUnion:ib,ZodIntersection:gg,ZodTuple:Ns,ZodRecord:mg,ZodMap:v1,ZodSet:rc,ZodFunction:Jd,ZodLazy:yg,ZodLiteral:vg,ZodEnum:jl,ZodNativeEnum:_g,ZodPromise:xf,ZodEffects:ts,ZodTransformer:ts,ZodOptional:_a,ZodNullable:ic,ZodDefault:bg,ZodCatch:_1,ZodNaN:b1,BRAND:xle,ZodBranded:HD,ZodPipeline:hm,custom:WD,Schema:tt,ZodSchema:tt,late:Cle,get ZodFirstPartyTypeKind(){return Ue},coerce:oue,any:Ile,array:Dle,bigint:Ale,boolean:XD,date:Ple,discriminatedUnion:Ule,effect:N9,enum:Xle,function:Wle,instanceof:Tle,intersection:zle,lazy:qle,literal:Kle,map:Gle,nan:Ele,nativeEnum:Yle,never:Nle,null:kle,nullable:Jle,number:KD,object:$le,oboolean:iue,onumber:rue,optional:Zle,ostring:nue,pipeline:tue,preprocess:eue,promise:Qle,record:jle,set:Hle,strictObject:Fle,string:qD,symbol:Rle,transformer:N9,tuple:Vle,undefined:Ole,union:Ble,unknown:Mle,void:Lle,NEVER:sue,ZodIssueCode:me,quotelessJson:ule,ZodError:Xo});const 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f,p;return(p=r.extractRehydrationInfo)==null?void 0:p.call(r,d,{reducerPath:(f=r.reducerPath)!=null?f:"api"})}),o=xs(In({reducerPath:"api",keepUnusedDataFor:60,refetchOnMountOrArgChange:!1,refetchOnFocus:!1,refetchOnReconnect:!1},r),{extractRehydrationInfo:i,serializeQueryArgs:function(d){var f=Y9;if("serializeQueryArgs"in d.endpointDefinition){var p=d.endpointDefinition.serializeQueryArgs;f=function(g){var m=p(g);return typeof m=="string"?m:Y9(xs(In({},g),{queryArgs:m}))}}else r.serializeQueryArgs&&(f=r.serializeQueryArgs);return f(d)},tagTypes:C1([],r.tagTypes||[])}),s={endpointDefinitions:{},batch:function(d){d()},apiUid:j_(),extractRehydrationInfo:i,hasRehydrationInfo:a1(function(d){return i(d)!=null})},a={injectEndpoints:u,enhanceEndpoints:function(d){var f=d.addTagTypes,p=d.endpoints;if(f)for(var g=0,m=f;g<m.length;g++){var v=m[g];o.tagTypes.includes(v)||o.tagTypes.push(v)}if(p)for(var x=0,_=Object.entries(p);x<_.length;x++){var b=_[x],y=b[0],S=b[1];typeof 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t=e.reducerPath,n=e.context,r=e.context.endpointDefinitions,i=e.mutationThunk,o=e.api,s=e.assertTagType,a=e.refetchQuery,l=o.internalActions.removeQueryResult,u=Co(tu(i),sm(i)),d=function(p,g){u(p)&&f(m$(p,"invalidatesTags",r,s),g),o.util.invalidateTags.match(p)&&f(g$(p.payload,void 0,void 0,void 0,void 0,s),g)};function f(p,g){var m=g.getState(),v=m[t],x=o.util.selectInvalidatedBy(m,p);n.batch(function(){for(var _,b=Array.from(x.values()),y=0,S=b;y<S.length;y++){var C=S[y].queryCacheKey,T=v.queries[C],E=(_=v.subscriptions[C])!=null?_:{};T&&(Object.keys(E).length===0?g.dispatch(l({queryCacheKey:C})):T.status!==ln.uninitialized&&g.dispatch(a(T,C)))}})}return d},Sce=function(e){var t=e.reducerPath,n=e.queryThunk,r=e.api,i=e.refetchQuery,o=e.internalState,s={},a=function(g,m){(r.internalActions.updateSubscriptionOptions.match(g)||r.internalActions.unsubscribeQueryResult.match(g))&&u(g.payload,m),(n.pending.match(g)||n.rejected.match(g)&&g.meta.condition)&&u(g.meta.arg,m),(n.fulfilled.match(g)||n.rejected.match(g)&&!g.meta.condition)&&l(g.meta.arg,m),r.util.resetApiState.match(g)&&f()};function l(g,m){var v=g.queryCacheKey,x=m.getState()[t],_=x.queries[v],b=o.currentSubscriptions[v];if(!(!_||_.status===ln.uninitialized)){var y=p(b);if(Number.isFinite(y)){var S=s[v];S!=null&&S.timeout&&(clearTimeout(S.timeout),S.timeout=void 0);var C=Date.now()+y,T=s[v]={nextPollTimestamp:C,pollingInterval:y,timeout:setTimeout(function(){T.timeout=void 0,m.dispatch(i(_,v))},y)}}}}function u(g,m){var v=g.queryCacheKey,x=m.getState()[t],_=x.queries[v],b=o.currentSubscriptions[v];if(!(!_||_.status===ln.uninitialized)){var y=p(b);if(!Number.isFinite(y)){d(v);return}var S=s[v],C=Date.now()+y;(!S||C<S.nextPollTimestamp)&&l({queryCacheKey:v},m)}}function d(g){var m=s[g];m!=null&&m.timeout&&clearTimeout(m.timeout),delete s[g]}function f(){for(var g=0,m=Object.keys(s);g<m.length;g++){var v=m[g];d(v)}}function p(g){g===void 0&&(g={});var m=Number.POSITIVE_INFINITY;for(var v in g)g[v].pollingInterval&&(m=Math.min(g[v].pollingInterval,m));return m}return a},wce=function(e){var t=e.reducerPath,n=e.context,r=e.api,i=e.refetchQuery,o=e.internalState,s=r.internalActions.removeQueryResult,a=function(u,d){CT.match(u)&&l(d,"refetchOnFocus"),TT.match(u)&&l(d,"refetchOnReconnect")};function l(u,d){var f=u.getState()[t],p=f.queries,g=o.currentSubscriptions;n.batch(function(){for(var m=0,v=Object.keys(g);m<v.length;m++){var x=v[m],_=p[x],b=g[x];if(!(!b||!_)){var y=Object.values(b).some(function(S){return S[d]===!0})||Object.values(b).every(function(S){return S[d]===void 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if(t.util.resetApiState.match(g))for(var S=0,C=Object.entries(u);S<C.length;S++){var T=C[S],E=T[0],y=T[1];delete u[E],y.cacheEntryRemoved()}};function f(g){return s(g)?g.meta.arg.queryCacheKey:a(g)?g.meta.requestId:t.internalActions.removeQueryResult.match(g)?g.payload.queryCacheKey:t.internalActions.removeMutationResult.match(g)?Cg(g.payload):""}function p(g,m,v,x,_){var b=r.endpointDefinitions[g],y=b==null?void 0:b.onCacheEntryAdded;if(y){var S={},C=new Promise(function(M){S.cacheEntryRemoved=M}),T=Promise.race([new Promise(function(M){S.valueResolved=M}),C.then(function(){throw Q9})]);T.catch(function(){}),u[v]=S;var E=t.endpoints[g].select(b.type===Ls.query?m:v),P=x.dispatch(function(M,G,U){return U}),k=xs(In({},x),{getCacheEntry:function(){return E(x.getState())},requestId:_,extra:P,updateCachedData:b.type===Ls.query?function(M){return x.dispatch(t.util.updateQueryData(g,m,M))}:void 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O=p.payload,E=O.queryCacheKey,P=O.requestId;return f[E]&&delete f[E][P],!0}if(t.internalActions.removeQueryResult.match(p))return delete f[p.payload.queryCacheKey],!0;if(n.pending.match(p)){var M=p.meta,G=M.arg,P=M.requestId;if(G.subscribe){var U=(v=f[m=G.queryCacheKey])!=null?v:f[m]={};return U[P]=(_=(x=G.subscriptionOptions)!=null?x:U[P])!=null?_:{},!0}}if(n.rejected.match(p)){var A=p.meta,N=A.condition,G=A.arg,P=A.requestId;if(N&&G.subscribe){var U=(y=f[b=G.queryCacheKey])!=null?y:f[b]={};return U[P]=(C=(S=G.subscriptionOptions)!=null?S:U[P])!=null?C:{},!0}}return!1};return function(f,p){var g,m;if(o||(o=JSON.parse(JSON.stringify(r.currentSubscriptions))),t.util.resetApiState.match(f))return o=r.currentSubscriptions={},[!0,!1];if(t.internalActions.internal_probeSubscription.match(f)){var v=f.payload,x=v.queryCacheKey,_=v.requestId,b=!!((g=r.currentSubscriptions[x])!=null&&g[_]);return[!1,b]}var y=d(r.currentSubscriptions,f);if(y){s||(Ece(function(){var E=JSON.parse(JSON.stringify(r.currentSubscriptions)),P=Z4(o,function(){return E}),k=P[1];p.next(t.internalActions.subscriptionsUpdated(k)),o=E,s=!1}),s=!0);var S=!!((m=f.type)!=null&&m.startsWith(i)),C=n.rejected.match(f)&&f.meta.condition&&!!f.meta.arg.subscribe,T=!S&&!C;return[T,!1]}return[!0,!1]}};function Pce(e){var t=e.reducerPath,n=e.queryThunk,r=e.api,i=e.context,o=i.apiUid,s={invalidateTags:Re(t+"/invalidateTags")},a=function(f){return!!f&&typeof f.type=="string"&&f.type.startsWith(t+"/")},l=[Tce,_ce,bce,Sce,xce,Cce],u=function(f){var p=!1,g={currentSubscriptions:{}},m=xs(In({},e),{internalState:g,refetchQuery:d}),v=l.map(function(b){return b(m)}),x=Ace(m),_=wce(m);return function(b){return function(y){p||(p=!0,f.dispatch(r.internalActions.middlewareRegistered(o)));var S=xs(In({},f),{next:b}),C=f.getState(),T=x(y,S,C),E=T[0],P=T[1],k;if(E?k=b(y):k=P,f.getState()[t]&&(_(y,S,C),a(y)||i.hasRehydrationInfo(y)))for(var O=0,M=v;O<M.length;O++){var G=M[O];G(y,S,C)}return k}}};return{middleware:u,actions:s};function d(f,p,g){return g===void 0&&(g={}),n(In({type:"query",endpointName:f.endpointName,originalArgs:f.originalArgs,subscribe:!1,forceRefetch:!0,queryCacheKey:p},g))}}function nl(e){for(var t=[],n=1;n<arguments.length;n++)t[n-1]=arguments[n];Object.assign.apply(Object,C1([e],t))}var J9=Symbol(),Rce=function(){return{name:J9,init:function(e,t,n){var r=t.baseQuery,i=t.tagTypes,o=t.reducerPath,s=t.serializeQueryArgs,a=t.keepUnusedDataFor,l=t.refetchOnMountOrArgChange,u=t.refetchOnFocus,d=t.refetchOnReconnect;Y4();var f=function(ee){return typeof process<"u",ee};Object.assign(e,{reducerPath:o,endpoints:{},internalActions:{onOnline:TT,onOffline:h$,onFocus:CT,onFocusLost:f$},util:{}});var p=hce({baseQuery:r,reducerPath:o,context:n,api:e,serializeQueryArgs:s}),g=p.queryThunk,m=p.mutationThunk,v=p.patchQueryData,x=p.updateQueryData,_=p.upsertQueryData,b=p.prefetch,y=p.buildMatchThunkActions,S=pce({context:n,queryThunk:g,mutationThunk:m,reducerPath:o,assertTagType:f,config:{refetchOnFocus:u,refetchOnReconnect:d,refetchOnMountOrArgChange:l,keepUnusedDataFor:a,reducerPath:o}}),C=S.reducer,T=S.actions;nl(e.util,{patchQueryData:v,updateQueryData:x,upsertQueryData:_,prefetch:b,resetApiState:T.resetApiState}),nl(e.internalActions,T);var E=Pce({reducerPath:o,context:n,queryThunk:g,mutationThunk:m,api:e,assertTagType:f}),P=E.middleware,k=E.actions;nl(e.util,k),nl(e,{reducer:C,middleware:P});var O=gce({serializeQueryArgs:s,reducerPath:o}),M=O.buildQuerySelector,G=O.buildMutationSelector,U=O.selectInvalidatedBy;nl(e.util,{selectInvalidatedBy:U});var A=fce({queryThunk:g,mutationThunk:m,api:e,serializeQueryArgs:s,context:n}),N=A.buildInitiateQuery,F=A.buildInitiateMutation,B=A.getRunningMutationThunk,D=A.getRunningMutationsThunk,V=A.getRunningQueriesThunk,j=A.getRunningQueryThunk,q=A.getRunningOperationPromises,Z=A.removalWarning;return nl(e.util,{getRunningOperationPromises:q,getRunningOperationPromise:Z,getRunningMutationThunk:B,getRunningMutationsThunk:D,getRunningQueryThunk:j,getRunningQueriesThunk:V}),{name:J9,injectEndpoint:function(ee,ie){var se,le,W=e;(le=(se=W.endpoints)[ee])!=null||(se[ee]={}),p$(ie)?nl(W.endpoints[ee],{name:ee,select:M(ee,ie),initiate:N(ee,ie)},y(g,ee)):cce(ie)&&nl(W.endpoints[ee],{name:ee,select:G(),initiate:F(ee)},y(m,ee))}}}}},v$={exports:{}},_$={};/**
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t=e.reducerPath,n=e.context,r=e.context.endpointDefinitions,i=e.mutationThunk,o=e.api,s=e.assertTagType,a=e.refetchQuery,l=o.internalActions.removeQueryResult,u=Co(tu(i),sm(i)),d=function(p,g){u(p)&&f(m$(p,"invalidatesTags",r,s),g),o.util.invalidateTags.match(p)&&f(g$(p.payload,void 0,void 0,void 0,void 0,s),g)};function f(p,g){var m=g.getState(),v=m[t],x=o.util.selectInvalidatedBy(m,p);n.batch(function(){for(var _,b=Array.from(x.values()),y=0,S=b;y<S.length;y++){var C=S[y].queryCacheKey,T=v.queries[C],E=(_=v.subscriptions[C])!=null?_:{};T&&(Object.keys(E).length===0?g.dispatch(l({queryCacheKey:C})):T.status!==ln.uninitialized&&g.dispatch(a(T,C)))}})}return d},wce=function(e){var t=e.reducerPath,n=e.queryThunk,r=e.api,i=e.refetchQuery,o=e.internalState,s={},a=function(g,m){(r.internalActions.updateSubscriptionOptions.match(g)||r.internalActions.unsubscribeQueryResult.match(g))&&u(g.payload,m),(n.pending.match(g)||n.rejected.match(g)&&g.meta.condition)&&u(g.meta.arg,m),(n.fulfilled.match(g)||n.rejected.match(g)&&!g.meta.condition)&&l(g.meta.arg,m),r.util.resetApiState.match(g)&&f()};function l(g,m){var v=g.queryCacheKey,x=m.getState()[t],_=x.queries[v],b=o.currentSubscriptions[v];if(!(!_||_.status===ln.uninitialized)){var y=p(b);if(Number.isFinite(y)){var S=s[v];S!=null&&S.timeout&&(clearTimeout(S.timeout),S.timeout=void 0);var C=Date.now()+y,T=s[v]={nextPollTimestamp:C,pollingInterval:y,timeout:setTimeout(function(){T.timeout=void 0,m.dispatch(i(_,v))},y)}}}}function u(g,m){var v=g.queryCacheKey,x=m.getState()[t],_=x.queries[v],b=o.currentSubscriptions[v];if(!(!_||_.status===ln.uninitialized)){var y=p(b);if(!Number.isFinite(y)){d(v);return}var S=s[v],C=Date.now()+y;(!S||C<S.nextPollTimestamp)&&l({queryCacheKey:v},m)}}function d(g){var m=s[g];m!=null&&m.timeout&&clearTimeout(m.timeout),delete s[g]}function f(){for(var g=0,m=Object.keys(s);g<m.length;g++){var v=m[g];d(v)}}function p(g){g===void 0&&(g={});var m=Number.POSITIVE_INFINITY;for(var v in g)g[v].pollingInterval&&(m=Math.min(g[v].pollingInterval,m));return m}return a},xce=function(e){var t=e.reducerPath,n=e.context,r=e.api,i=e.refetchQuery,o=e.internalState,s=r.internalActions.removeQueryResult,a=function(u,d){CT.match(u)&&l(d,"refetchOnFocus"),TT.match(u)&&l(d,"refetchOnReconnect")};function l(u,d){var f=u.getState()[t],p=f.queries,g=o.currentSubscriptions;n.batch(function(){for(var m=0,v=Object.keys(g);m<v.length;m++){var x=v[m],_=p[x],b=g[x];if(!(!b||!_)){var y=Object.values(b).some(function(S){return S[d]===!0})||Object.values(b).every(function(S){return S[d]===void 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if(t.util.resetApiState.match(g))for(var S=0,C=Object.entries(u);S<C.length;S++){var T=C[S],E=T[0],y=T[1];delete u[E],y.cacheEntryRemoved()}};function f(g){return s(g)?g.meta.arg.queryCacheKey:a(g)?g.meta.requestId:t.internalActions.removeQueryResult.match(g)?g.payload.queryCacheKey:t.internalActions.removeMutationResult.match(g)?Cg(g.payload):""}function p(g,m,v,x,_){var b=r.endpointDefinitions[g],y=b==null?void 0:b.onCacheEntryAdded;if(y){var S={},C=new Promise(function(M){S.cacheEntryRemoved=M}),T=Promise.race([new Promise(function(M){S.valueResolved=M}),C.then(function(){throw Q9})]);T.catch(function(){}),u[v]=S;var E=t.endpoints[g].select(b.type===Ls.query?m:v),P=x.dispatch(function(M,G,U){return U}),k=xs(In({},x),{getCacheEntry:function(){return E(x.getState())},requestId:_,extra:P,updateCachedData:b.type===Ls.query?function(M){return x.dispatch(t.util.updateQueryData(g,m,M))}:void 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U=d.meta,x=U.requestId,A=U.rejectedWithValue,G=U.baseQueryMeta;(m=l[x])==null||m.reject({error:(g=d.payload)!=null?g:d.error,isUnhandledError:!A,meta:G}),delete l[x]}};return u},Ece=function(e){var t=e.api,n=e.context.apiUid,r=e.reducerPath;return function(i,o){var s,a;t.util.resetApiState.match(i)&&o.dispatch(t.internalActions.middlewareRegistered(n)),typeof process<"u"}},Z9,Ace=typeof queueMicrotask=="function"?queueMicrotask.bind(typeof window<"u"?window:typeof global<"u"?global:globalThis):function(e){return(Z9||(Z9=Promise.resolve())).then(e).catch(function(t){return setTimeout(function(){throw t},0)})},Pce=function(e){var t=e.api,n=e.queryThunk,r=e.internalState,i=t.reducerPath+"/subscriptions",o=null,s=!1,a=t.internalActions,l=a.updateSubscriptionOptions,u=a.unsubscribeQueryResult,d=function(f,p){var g,m,v,x,_,b,y,S,C;if(l.match(p)){var T=p.payload,E=T.queryCacheKey,P=T.requestId,k=T.options;return(g=f==null?void 0:f[E])!=null&&g[P]&&(f[E][P]=k),!0}if(u.match(p)){var O=p.payload,E=O.queryCacheKey,P=O.requestId;return f[E]&&delete f[E][P],!0}if(t.internalActions.removeQueryResult.match(p))return delete f[p.payload.queryCacheKey],!0;if(n.pending.match(p)){var M=p.meta,G=M.arg,P=M.requestId;if(G.subscribe){var U=(v=f[m=G.queryCacheKey])!=null?v:f[m]={};return U[P]=(_=(x=G.subscriptionOptions)!=null?x:U[P])!=null?_:{},!0}}if(n.rejected.match(p)){var A=p.meta,N=A.condition,G=A.arg,P=A.requestId;if(N&&G.subscribe){var U=(y=f[b=G.queryCacheKey])!=null?y:f[b]={};return U[P]=(C=(S=G.subscriptionOptions)!=null?S:U[P])!=null?C:{},!0}}return!1};return function(f,p){var g,m;if(o||(o=JSON.parse(JSON.stringify(r.currentSubscriptions))),t.util.resetApiState.match(f))return o=r.currentSubscriptions={},[!0,!1];if(t.internalActions.internal_probeSubscription.match(f)){var v=f.payload,x=v.queryCacheKey,_=v.requestId,b=!!((g=r.currentSubscriptions[x])!=null&&g[_]);return[!1,b]}var y=d(r.currentSubscriptions,f);if(y){s||(Ace(function(){var E=JSON.parse(JSON.stringify(r.currentSubscriptions)),P=Z4(o,function(){return E}),k=P[1];p.next(t.internalActions.subscriptionsUpdated(k)),o=E,s=!1}),s=!0);var S=!!((m=f.type)!=null&&m.startsWith(i)),C=n.rejected.match(f)&&f.meta.condition&&!!f.meta.arg.subscribe,T=!S&&!C;return[T,!1]}return[!0,!1]}};function Rce(e){var t=e.reducerPath,n=e.queryThunk,r=e.api,i=e.context,o=i.apiUid,s={invalidateTags:Re(t+"/invalidateTags")},a=function(f){return!!f&&typeof f.type=="string"&&f.type.startsWith(t+"/")},l=[Ece,bce,Sce,wce,Cce,Tce],u=function(f){var p=!1,g={currentSubscriptions:{}},m=xs(In({},e),{internalState:g,refetchQuery:d}),v=l.map(function(b){return b(m)}),x=Pce(m),_=xce(m);return function(b){return function(y){p||(p=!0,f.dispatch(r.internalActions.middlewareRegistered(o)));var S=xs(In({},f),{next:b}),C=f.getState(),T=x(y,S,C),E=T[0],P=T[1],k;if(E?k=b(y):k=P,f.getState()[t]&&(_(y,S,C),a(y)||i.hasRehydrationInfo(y)))for(var O=0,M=v;O<M.length;O++){var G=M[O];G(y,S,C)}return k}}};return{middleware:u,actions:s};function d(f,p,g){return g===void 0&&(g={}),n(In({type:"query",endpointName:f.endpointName,originalArgs:f.originalArgs,subscribe:!1,forceRefetch:!0,queryCacheKey:p},g))}}function nl(e){for(var t=[],n=1;n<arguments.length;n++)t[n-1]=arguments[n];Object.assign.apply(Object,C1([e],t))}var J9=Symbol(),Oce=function(){return{name:J9,init:function(e,t,n){var r=t.baseQuery,i=t.tagTypes,o=t.reducerPath,s=t.serializeQueryArgs,a=t.keepUnusedDataFor,l=t.refetchOnMountOrArgChange,u=t.refetchOnFocus,d=t.refetchOnReconnect;Y4();var f=function(ee){return typeof process<"u",ee};Object.assign(e,{reducerPath:o,endpoints:{},internalActions:{onOnline:TT,onOffline:h$,onFocus:CT,onFocusLost:f$},util:{}});var p=pce({baseQuery:r,reducerPath:o,context:n,api:e,serializeQueryArgs:s}),g=p.queryThunk,m=p.mutationThunk,v=p.patchQueryData,x=p.updateQueryData,_=p.upsertQueryData,b=p.prefetch,y=p.buildMatchThunkActions,S=gce({context:n,queryThunk:g,mutationThunk:m,reducerPath:o,assertTagType:f,config:{refetchOnFocus:u,refetchOnReconnect:d,refetchOnMountOrArgChange:l,keepUnusedDataFor:a,reducerPath:o}}),C=S.reducer,T=S.actions;nl(e.util,{patchQueryData:v,updateQueryData:x,upsertQueryData:_,prefetch:b,resetApiState:T.resetApiState}),nl(e.internalActions,T);var E=Rce({reducerPath:o,context:n,queryThunk:g,mutationThunk:m,api:e,assertTagType:f}),P=E.middleware,k=E.actions;nl(e.util,k),nl(e,{reducer:C,middleware:P});var O=mce({serializeQueryArgs:s,reducerPath:o}),M=O.buildQuerySelector,G=O.buildMutationSelector,U=O.selectInvalidatedBy;nl(e.util,{selectInvalidatedBy:U});var A=hce({queryThunk:g,mutationThunk:m,api:e,serializeQueryArgs:s,context:n}),N=A.buildInitiateQuery,F=A.buildInitiateMutation,B=A.getRunningMutationThunk,D=A.getRunningMutationsThunk,V=A.getRunningQueriesThunk,j=A.getRunningQueryThunk,q=A.getRunningOperationPromises,Z=A.removalWarning;return nl(e.util,{getRunningOperationPromises:q,getRunningOperationPromise:Z,getRunningMutationThunk:B,getRunningMutationsThunk:D,getRunningQueryThunk:j,getRunningQueriesThunk:V}),{name:J9,injectEndpoint:function(ee,ie){var se,le,W=e;(le=(se=W.endpoints)[ee])!=null||(se[ee]={}),p$(ie)?nl(W.endpoints[ee],{name:ee,select:M(ee,ie),initiate:N(ee,ie)},y(g,ee)):dce(ie)&&nl(W.endpoints[ee],{name:ee,select:G(),initiate:F(ee)},y(m,ee))}}}}},v$={exports:{}},_$={};/**
  * @license React
  * use-sync-external-store-shim.production.min.js
  *
@@ -73,7 +73,7 @@ function print() { __p += __j.call(arguments, '') }
  *
  * This source code is licensed under the MIT license found in the
  * LICENSE file in the root directory of this source tree.
- */var Cf=L;function Oce(e,t){return e===t&&(e!==0||1/e===1/t)||e!==e&&t!==t}var kce=typeof Object.is=="function"?Object.is:Oce,Ice=Cf.useState,Mce=Cf.useEffect,Nce=Cf.useLayoutEffect,Lce=Cf.useDebugValue;function Dce(e,t){var n=t(),r=Ice({inst:{value:n,getSnapshot:t}}),i=r[0].inst,o=r[1];return Nce(function(){i.value=n,i.getSnapshot=t,cx(i)&&o({inst:i})},[e,n,t]),Mce(function(){return cx(i)&&o({inst:i}),e(function(){cx(i)&&o({inst:i})})},[e]),Lce(n),n}function cx(e){var t=e.getSnapshot;e=e.value;try{var n=t();return!kce(e,n)}catch{return!0}}function $ce(e,t){return t()}var Fce=typeof window>"u"||typeof window.document>"u"||typeof window.document.createElement>"u"?$ce:Dce;_$.useSyncExternalStore=Cf.useSyncExternalStore!==void 0?Cf.useSyncExternalStore:Fce;v$.exports=_$;var Bce=v$.exports,b$={exports:{}},S$={};/**
+ */var Cf=L;function kce(e,t){return e===t&&(e!==0||1/e===1/t)||e!==e&&t!==t}var Ice=typeof Object.is=="function"?Object.is:kce,Mce=Cf.useState,Nce=Cf.useEffect,Lce=Cf.useLayoutEffect,Dce=Cf.useDebugValue;function $ce(e,t){var n=t(),r=Mce({inst:{value:n,getSnapshot:t}}),i=r[0].inst,o=r[1];return Lce(function(){i.value=n,i.getSnapshot=t,cx(i)&&o({inst:i})},[e,n,t]),Nce(function(){return cx(i)&&o({inst:i}),e(function(){cx(i)&&o({inst:i})})},[e]),Dce(n),n}function cx(e){var t=e.getSnapshot;e=e.value;try{var n=t();return!Ice(e,n)}catch{return!0}}function Fce(e,t){return t()}var Bce=typeof window>"u"||typeof window.document>"u"||typeof window.document.createElement>"u"?Fce:$ce;_$.useSyncExternalStore=Cf.useSyncExternalStore!==void 0?Cf.useSyncExternalStore:Bce;v$.exports=_$;var Uce=v$.exports,b$={exports:{}},S$={};/**
  * @license React
  * use-sync-external-store-shim/with-selector.production.min.js
  *
@@ -81,14 +81,14 @@ function print() { __p += __j.call(arguments, '') }
  *
  * This source code is licensed under the MIT license found in the
  * LICENSE file in the root directory of this source tree.
- */var ab=L,Uce=Bce;function zce(e,t){return e===t&&(e!==0||1/e===1/t)||e!==e&&t!==t}var Vce=typeof Object.is=="function"?Object.is:zce,jce=Uce.useSyncExternalStore,Gce=ab.useRef,Hce=ab.useEffect,Wce=ab.useMemo,qce=ab.useDebugValue;S$.useSyncExternalStoreWithSelector=function(e,t,n,r,i){var o=Gce(null);if(o.current===null){var s={hasValue:!1,value:null};o.current=s}else s=o.current;o=Wce(function(){function l(g){if(!u){if(u=!0,d=g,g=r(g),i!==void 0&&s.hasValue){var m=s.value;if(i(m,g))return f=m}return f=g}if(m=f,Vce(d,g))return m;var v=r(g);return i!==void 0&&i(m,v)?m:(d=g,f=v)}var u=!1,d,f,p=n===void 0?null:n;return[function(){return l(t())},p===null?void 0:function(){return l(p())}]},[t,n,r,i]);var a=jce(e,o[0],o[1]);return Hce(function(){s.hasValue=!0,s.value=a},[a]),qce(a),a};b$.exports=S$;var w$=b$.exports;const Kce=dc(w$);function Xce(e){e()}let x$=Xce;const Yce=e=>x$=e,Qce=()=>x$,eR=Symbol.for(`react-redux-context-${L.version}`),tR=globalThis;function Zce(){let e=tR[eR];return e||(e=L.createContext(null),tR[eR]=e),e}const Gl=new Proxy({},new Proxy({},{get(e,t){const n=Zce();return(r,...i)=>Reflect[t](n,...i)}}));function ET(e=Gl){return function(){return L.useContext(e)}}const C$=ET(),Jce=()=>{throw new Error("uSES not initialized!")};let T$=Jce;const ede=e=>{T$=e},tde=(e,t)=>e===t;function nde(e=Gl){const t=e===Gl?C$:ET(e);return function(r,i={}){const{equalityFn:o=tde,stabilityCheck:s=void 0,noopCheck:a=void 0}=typeof i=="function"?{equalityFn:i}:i,{store:l,subscription:u,getServerState:d,stabilityCheck:f,noopCheck:p}=t();L.useRef(!0);const g=L.useCallback({[r.name](v){return r(v)}}[r.name],[r,f,s]),m=T$(u.addNestedSub,l.getState,d||l.getState,g,o);return L.useDebugValue(m),m}}const E$=nde();function A1(){return A1=Object.assign?Object.assign.bind():function(e){for(var t=1;t<arguments.length;t++){var n=arguments[t];for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(e[r]=n[r])}return e},A1.apply(this,arguments)}var A$={exports:{}},$t={};/** @license React v16.13.1
+ */var ab=L,zce=Uce;function Vce(e,t){return e===t&&(e!==0||1/e===1/t)||e!==e&&t!==t}var jce=typeof Object.is=="function"?Object.is:Vce,Gce=zce.useSyncExternalStore,Hce=ab.useRef,Wce=ab.useEffect,qce=ab.useMemo,Kce=ab.useDebugValue;S$.useSyncExternalStoreWithSelector=function(e,t,n,r,i){var o=Hce(null);if(o.current===null){var s={hasValue:!1,value:null};o.current=s}else s=o.current;o=qce(function(){function l(g){if(!u){if(u=!0,d=g,g=r(g),i!==void 0&&s.hasValue){var m=s.value;if(i(m,g))return f=m}return f=g}if(m=f,jce(d,g))return m;var v=r(g);return i!==void 0&&i(m,v)?m:(d=g,f=v)}var u=!1,d,f,p=n===void 0?null:n;return[function(){return l(t())},p===null?void 0:function(){return l(p())}]},[t,n,r,i]);var a=Gce(e,o[0],o[1]);return Wce(function(){s.hasValue=!0,s.value=a},[a]),Kce(a),a};b$.exports=S$;var w$=b$.exports;const Xce=dc(w$);function Yce(e){e()}let x$=Yce;const Qce=e=>x$=e,Zce=()=>x$,eR=Symbol.for(`react-redux-context-${L.version}`),tR=globalThis;function Jce(){let e=tR[eR];return e||(e=L.createContext(null),tR[eR]=e),e}const Gl=new Proxy({},new Proxy({},{get(e,t){const n=Jce();return(r,...i)=>Reflect[t](n,...i)}}));function ET(e=Gl){return function(){return L.useContext(e)}}const C$=ET(),ede=()=>{throw new Error("uSES not initialized!")};let T$=ede;const tde=e=>{T$=e},nde=(e,t)=>e===t;function rde(e=Gl){const t=e===Gl?C$:ET(e);return function(r,i={}){const{equalityFn:o=nde,stabilityCheck:s=void 0,noopCheck:a=void 0}=typeof i=="function"?{equalityFn:i}:i,{store:l,subscription:u,getServerState:d,stabilityCheck:f,noopCheck:p}=t();L.useRef(!0);const g=L.useCallback({[r.name](v){return r(v)}}[r.name],[r,f,s]),m=T$(u.addNestedSub,l.getState,d||l.getState,g,o);return L.useDebugValue(m),m}}const E$=rde();function A1(){return A1=Object.assign?Object.assign.bind():function(e){for(var t=1;t<arguments.length;t++){var n=arguments[t];for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(e[r]=n[r])}return e},A1.apply(this,arguments)}var A$={exports:{}},$t={};/** @license React v16.13.1
  * react-is.production.min.js
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  * Copyright (c) Facebook, Inc. and its affiliates.
  *
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p={board_id:t,categories:d},g=Se.endpoints.listImages.select(p)(o()),{data:m}=Vr.includes(u.image_category)?Ui.endpoints.getBoardImagesTotal.select(t??"none")(o()):Ui.endpoints.getBoardAssetsTotal.select(t??"none")(o()),v=g.data&&g.data.ids.length>=(m??0),x=(m||0)>=F9?jh(g.data,u):!0;(v||x)&&r(Se.util.updateQueryData("listImages",p,_=>{pn.upsertOne(_,{...u,board_id:t})}))})}catch{}}}),removeImagesFromBoard:e.mutation({query:({imageDTOs:t})=>({url:"board_images/batch/delete",method:"POST",body:{image_names:t.map(n=>n.image_name)}}),invalidatesTags:(t,n,{imageDTOs:r})=>{const i=[],o=[{type:"BoardImagesTotal",id:"none"},{type:"BoardAssetsTotal",id:"none"}];return t==null||t.removed_image_names.forEach(s=>{var l;const a=(l=r.find(u=>u.image_name===s))==null?void 0:l.board_id;!a||i.includes(a)||(o.push({type:"Board",id:a}),o.push({type:"BoardImagesTotal",id:a}),o.push({type:"BoardAssetsTotal",id:a}))}),o},async onQueryStarted({imageDTOs:t},{dispatch:n,queryFulfilled:r,getState:i}){try{const{data:o}=await r,{removed_image_names:s}=o;s.forEach(a=>{n(Se.util.updateQueryData("getImageDTO",a,v=>{v.board_id=void 0}));const l=t.find(v=>v.image_name===a);if(!l)return;const u=rl(l);n(Se.util.updateQueryData("listImages",{board_id:l.board_id??"none",categories:u},v=>{pn.removeOne(v,l.image_name)}));const 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t=({id:n,className:r,type:i,data:o,onClick:s,onEdgeDoubleClick:a,selected:l,animated:u,label:d,labelStyle:f,labelShowBg:p,labelBgStyle:g,labelBgPadding:m,labelBgBorderRadius:v,style:x,source:_,target:b,sourceX:y,sourceY:S,targetX:C,targetY:T,sourcePosition:E,targetPosition:P,elementsSelectable:k,hidden:O,sourceHandleId:M,targetHandleId:G,onContextMenu:U,onMouseEnter:A,onMouseMove:N,onMouseLeave:F,edgeUpdaterRadius:B,onEdgeUpdate:D,onEdgeUpdateStart:V,onEdgeUpdateEnd:j,markerEnd:q,markerStart:Z,rfId:ee,ariaLabel:ie,isFocusable:se,isUpdatable:le,pathOptions:W,interactionWidth:ne})=>{const fe=L.useRef(null),[pe,ve]=L.useState(!1),[ye,We]=L.useState(!1),Me=qr(),Ee=L.useMemo(()=>`url(#${H3(Z,ee)})`,[Z,ee]),lt=L.useMemo(()=>`url(#${H3(q,ee)})`,[q,ee]);if(O)return null;const _e=sn=>{const{edges:Gt,addSelectedEdges:vr}=Me.getState();if(k&&(Me.setState({nodesSelectionActive:!1}),vr([n])),s){const 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s=o.keySeparator!==void 0?o.keySeparator:this.options.keySeparator;let a=[t,n];r&&(a=a.concat(s?r.split(s):r)),t.indexOf(".")>-1&&(a=t.split("."),i=n,n=a[1]),this.addNamespaces(n),mO(this.data,a,i),o.silent||this.emit("added",t,n,r,i)}addResources(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{silent:!1};for(const o in r)(typeof r[o]=="string"||Object.prototype.toString.apply(r[o])==="[object Array]")&&this.addResource(t,n,o,r[o],{silent:!0});i.silent||this.emit("added",t,n,r)}addResourceBundle(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{silent:!1},a=[t,n];t.indexOf(".")>-1&&(a=t.split("."),i=r,r=n,n=a[1]),this.addNamespaces(n);let l=W1(this.data,a)||{};i?SU(l,r,o):l={...l,...r},mO(this.data,a,l),s.silent||this.emit("added",t,n,r)}removeResourceBundle(t,n){this.hasResourceBundle(t,n)&&delete this.data[t][n],this.removeNamespaces(n),this.emit("removed",t,n)}hasResourceBundle(t,n){return this.getResource(t,n)!==void 0}getResourceBundle(t,n){return n||(n=this.options.defaultNS),this.options.compatibilityAPI==="v1"?{...this.getResource(t,n)}:this.getResource(t,n)}getDataByLanguage(t){return this.data[t]}hasLanguageSomeTranslations(t){const n=this.getDataByLanguage(t);return!!(n&&Object.keys(n)||[]).find(i=>n[i]&&Object.keys(n[i]).length>0)}toJSON(){return this.data}}var wU={processors:{},addPostProcessor(e){this.processors[e.name]=e},handle(e,t,n,r,i){return e.forEach(o=>{this.processors[o]&&(t=this.processors[o].process(t,n,r,i))}),t}};const vO={};class X1 extends eS{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};super(),Kve(["resourceStore","languageUtils","pluralResolver","interpolator","backendConnector","i18nFormat","utils"],t,this),this.options=n,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.logger=Cs.create("translator")}changeLanguage(t){t&&(this.language=t)}exists(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}};if(t==null)return!1;const r=this.resolve(t,n);return r&&r.res!==void 0}extractFromKey(t,n){let r=n.nsSeparator!==void 0?n.nsSeparator:this.options.nsSeparator;r===void 0&&(r=":");const i=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator;let o=n.ns||this.options.defaultNS||[];const s=r&&t.indexOf(r)>-1,a=!this.options.userDefinedKeySeparator&&!n.keySeparator&&!this.options.userDefinedNsSeparator&&!n.nsSeparator&&!e1e(t,r,i);if(s&&!a){const l=t.match(this.interpolator.nestingRegexp);if(l&&l.length>0)return{key:t,namespaces:o};const u=t.split(r);(r!==i||r===i&&this.options.ns.indexOf(u[0])>-1)&&(o=u.shift()),t=u.join(i)}return typeof o=="string"&&(o=[o]),{key:t,namespaces:o}}translate(t,n,r){if(typeof n!="object"&&this.options.overloadTranslationOptionHandler&&(n=this.options.overloadTranslationOptionHandler(arguments)),typeof n=="object"&&(n={...n}),n||(n={}),t==null)return"";Array.isArray(t)||(t=[String(t)]);const i=n.returnDetails!==void 0?n.returnDetails:this.options.returnDetails,o=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator,{key:s,namespaces:a}=this.extractFromKey(t[t.length-1],n),l=a[a.length-1],u=n.lng||this.language,d=n.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(u&&u.toLowerCase()==="cimode"){if(d){const S=n.nsSeparator||this.options.nsSeparator;return i?{res:`${l}${S}${s}`,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:`${l}${S}${s}`}return i?{res:s,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:s}const f=this.resolve(t,n);let p=f&&f.res;const g=f&&f.usedKey||s,m=f&&f.exactUsedKey||s,v=Object.prototype.toString.apply(p),x=["[object Number]","[object Function]","[object RegExp]"],_=n.joinArrays!==void 0?n.joinArrays:this.options.joinArrays,b=!this.i18nFormat||this.i18nFormat.handleAsObject;if(b&&p&&(typeof p!="string"&&typeof p!="boolean"&&typeof p!="number")&&x.indexOf(v)<0&&!(typeof _=="string"&&v==="[object Array]")){if(!n.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const S=this.options.returnedObjectHandler?this.options.returnedObjectHandler(g,p,{...n,ns:a}):`key '${s} (${this.language})' returned an object instead of string.`;return i?(f.res=S,f):S}if(o){const S=v==="[object Array]",C=S?[]:{},T=S?m:g;for(const E in p)if(Object.prototype.hasOwnProperty.call(p,E)){const P=`${T}${o}${E}`;C[E]=this.translate(P,{...n,joinArrays:!1,ns:a}),C[E]===P&&(C[E]=p[E])}p=C}}else if(b&&typeof _=="string"&&v==="[object Array]")p=p.join(_),p&&(p=this.extendTranslation(p,t,n,r));else{let S=!1,C=!1;const T=n.count!==void 0&&typeof n.count!="string",E=X1.hasDefaultValue(n),P=T?this.pluralResolver.getSuffix(u,n.count,n):"",k=n.ordinal&&T?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",O=n[`defaultValue${P}`]||n[`defaultValue${k}`]||n.defaultValue;!this.isValidLookup(p)&&E&&(S=!0,p=O),this.isValidLookup(p)||(C=!0,p=s);const G=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&C?void 0:p,U=E&&O!==p&&this.options.updateMissing;if(C||S||U){if(this.logger.log(U?"updateKey":"missingKey",u,l,s,U?O:p),o){const B=this.resolve(s,{...n,keySeparator:!1});B&&B.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let A=[];const N=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&N&&N[0])for(let B=0;B<N.length;B++)A.push(N[B]);else this.options.saveMissingTo==="all"?A=this.languageUtils.toResolveHierarchy(n.lng||this.language):A.push(n.lng||this.language);const F=(B,D,V)=>{const j=E&&V!==p?V:G;this.options.missingKeyHandler?this.options.missingKeyHandler(B,l,D,j,U,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(B,l,D,j,U,n),this.emit("missingKey",B,l,D,p)};this.options.saveMissing&&(this.options.saveMissingPlurals&&T?A.forEach(B=>{this.pluralResolver.getSuffixes(B,n).forEach(D=>{F([B],s+D,n[`defaultValue${D}`]||O)})}):F(A,s,O))}p=this.extendTranslation(p,t,n,f,r),C&&p===s&&this.options.appendNamespaceToMissingKey&&(p=`${l}:${s}`),(C||S)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?p=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,S?p:void 0):p=this.options.parseMissingKeyHandler(p))}return i?(f.res=p,f):p}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let d;if(u){const p=t.match(this.interpolator.nestingRegexp);d=p&&p.length}let f=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(f={...this.options.interpolation.defaultVariables,...f}),t=this.interpolator.interpolate(t,f,r.lng||this.language,r),u){const p=t.match(this.interpolator.nestingRegexp),g=p&&p.length;d<g&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var p=arguments.length,g=new Array(p),m=0;m<p;m++)g[m]=arguments[m];return o&&o[0]===g[0]&&!r.context?(s.logger.warn(`It seems you are nesting recursively key: ${g[0]} in key: ${n[0]}`),null):s.translate(...g,n)},r)),r.interpolation&&this.interpolator.reset()}const a=r.postProcess||this.options.postProcess,l=typeof a=="string"?[a]:a;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=wU.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),d=u.key;i=d;let f=u.namespaces;this.options.fallbackNS&&(f=f.concat(this.options.fallbackNS));const p=n.count!==void 0&&typeof n.count!="string",g=p&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),m=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",v=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);f.forEach(x=>{this.isValidLookup(r)||(a=x,!vO[`${v[0]}-${x}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(vO[`${v[0]}-${x}`]=!0,this.logger.warn(`key "${i}" for languages "${v.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),v.forEach(_=>{if(this.isValidLookup(r))return;s=_;const b=[d];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(b,d,_,x,n);else{let S;p&&(S=this.pluralResolver.getSuffix(_,n.count,n));const C=`${this.options.pluralSeparator}zero`,T=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(p&&(b.push(d+S),n.ordinal&&S.indexOf(T)===0&&b.push(d+S.replace(T,this.options.pluralSeparator)),g&&b.push(d+C)),m){const E=`${d}${this.options.contextSeparator}${n.context}`;b.push(E),p&&(b.push(E+S),n.ordinal&&S.indexOf(T)===0&&b.push(E+S.replace(T,this.options.pluralSeparator)),g&&b.push(E+C))}}let y;for(;y=b.pop();)this.isValidLookup(r)||(o=y,r=this.getResource(_,x,y,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:s,usedNS:a}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function Rx(e){return e.charAt(0).toUpperCase()+e.slice(1)}class _O{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=Cs.create("languageUtils")}getScriptPartFromCode(t){if(t=K1(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=K1(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Rx(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Rx(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=Rx(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let t1e=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],n1e={1:function(e){return+(e>1)},2:function(e){return+(e!=1)},3:function(e){return 0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const r1e=["v1","v2","v3"],i1e=["v4"],bO={zero:0,one:1,two:2,few:3,many:4,other:5};function o1e(){const e={};return t1e.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:n1e[t.fc]}})}),e}class s1e{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=Cs.create("pluralResolver"),(!this.options.compatibilityJSON||i1e.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. 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r=n.lng||this.resolvedLanguage||this.languages[0],i=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(r.toLowerCase()==="cimode")return!0;const s=(a,l)=>{const u=this.services.backendConnector.state[`${a}|${l}`];return u===-1||u===2};if(n.precheck){const a=n.precheck(this,s);if(a!==void 0)return a}return!!(this.hasResourceBundle(r,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||s(r,t)&&(!i||s(o,t)))}loadNamespaces(t,n){const r=Xh();return this.options.ns?(typeof t=="string"&&(t=[t]),t.forEach(i=>{this.options.ns.indexOf(i)<0&&this.options.ns.push(i)}),this.loadResources(i=>{r.resolve(),n&&n(i)}),r):(n&&n(),Promise.resolve())}loadLanguages(t,n){const r=Xh();typeof t=="string"&&(t=[t]);const i=this.options.preload||[],o=t.filter(s=>i.indexOf(s)<0);return o.length?(this.options.preload=i.concat(o),this.loadResources(s=>{r.resolve(),n&&n(s)}),r):(n&&n(),Promise.resolve())}dir(t){if(t||(t=this.resolvedLanguage||(this.languages&&this.languages.length>0?this.languages[0]:this.language)),!t)return"rtl";const n=["ar","shu","sqr","ssh","xaa","yhd","yud","aao","abh","abv","acm","acq","acw","acx","acy","adf","ads","aeb","aec","afb","ajp","apc","apd","arb","arq","ars","ary","arz","auz","avl","ayh","ayl","ayn","ayp","bbz","pga","he","iw","ps","pbt","pbu","pst","prp","prd","ug","ur","ydd","yds","yih","ji","yi","hbo","men","xmn","fa","jpr","peo","pes","prs","dv","sam","ckb"],r=this.services&&this.services.languageUtils||new _O(wO());return n.indexOf(r.getLanguagePartFromCode(t))>-1||t.toLowerCase().indexOf("-arab")>1?"rtl":"ltr"}static createInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;return new Mg(t,n)}cloneInstance(){let t=arguments.length>0&&arguments[0]!==void 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Use ""'+l+'" instead.')}o.prototype[a]=p,o.prototype[d]=p,o.prototype[f]=p})},afterSetFilter(){this._filterUpToDate=!1}}})(nt);var Qo={},ba={};Object.defineProperty(ba,"__esModule",{value:!0});ba.HitContext=ba.SceneContext=ba.Context=void 0;const qU=Sn,wSe=rt;function xSe(e){var t=[],n=e.length,r=qU.Util,i,o;for(i=0;i<n;i++)o=e[i],r._isNumber(o)?o=Math.round(o*1e3)/1e3:r._isString(o)||(o=o+""),t.push(o);return t}var zO=",",CSe="(",TSe=")",ESe="([",ASe="])",PSe=";",RSe="()",OSe="=",VO=["arc","arcTo","beginPath","bezierCurveTo","clearRect","clip","closePath","createLinearGradient","createPattern","createRadialGradient","drawImage","ellipse","fill","fillText","getImageData","createImageData","lineTo","moveTo","putImageData","quadraticCurveTo","rect","restore","rotate","save","scale","setLineDash","setTransform","stroke","strokeText","transform","translate"],kSe=["fillStyle","strokeStyle","shadowColor","shadowBlur","shadowOffsetX","shadowOffsetY","lineCap","lineDashOffset","lineJoin","lineWidth","miterLimit","font","textAlign","textBaseline","globalAlpha","globalCompositeOperation","imageSmoothingEnabled"];const ISe=100;class iS{constructor(t){this.canvas=t,wSe.Konva.enableTrace&&(this.traceArr=[],this._enableTrace())}fillShape(t){t.fillEnabled()&&this._fill(t)}_fill(t){}strokeShape(t){t.hasStroke()&&this._stroke(t)}_stroke(t){}fillStrokeShape(t){t.attrs.fillAfterStrokeEnabled?(this.strokeShape(t),this.fillShape(t)):(this.fillShape(t),this.strokeShape(t))}getTrace(t,n){var r=this.traceArr,i=r.length,o="",s,a,l,u;for(s=0;s<i;s++)a=r[s],l=a.method,l?(u=a.args,o+=l,t?o+=RSe:qU.Util._isArray(u[0])?o+=ESe+u.join(zO)+ASe:(n&&(u=u.map(d=>typeof d=="number"?Math.floor(d):d)),o+=CSe+u.join(zO)+TSe)):(o+=a.property,t||(o+=OSe+a.val)),o+=PSe;return o}clearTrace(){this.traceArr=[]}_trace(t){var n=this.traceArr,r;n.push(t),r=n.length,r>=ISe&&n.shift()}reset(){var t=this.getCanvas().getPixelRatio();this.setTransform(1*t,0,0,1*t,0,0)}getCanvas(){return this.canvas}clear(t){var n=this.getCanvas();t?this.clearRect(t.x||0,t.y||0,t.width||0,t.height||0):this.clearRect(0,0,n.getWidth()/n.pixelRatio,n.getHeight()/n.pixelRatio)}_applyLineCap(t){const n=t.attrs.lineCap;n&&this.setAttr("lineCap",n)}_applyOpacity(t){var n=t.getAbsoluteOpacity();n!==1&&this.setAttr("globalAlpha",n)}_applyLineJoin(t){const n=t.attrs.lineJoin;n&&this.setAttr("lineJoin",n)}setAttr(t,n){this._context[t]=n}arc(t,n,r,i,o,s){this._context.arc(t,n,r,i,o,s)}arcTo(t,n,r,i,o){this._context.arcTo(t,n,r,i,o)}beginPath(){this._context.beginPath()}bezierCurveTo(t,n,r,i,o,s){this._context.bezierCurveTo(t,n,r,i,o,s)}clearRect(t,n,r,i){this._context.clearRect(t,n,r,i)}clip(...t){this._context.clip.apply(this._context,t)}closePath(){this._context.closePath()}createImageData(t,n){var r=arguments;if(r.length===2)return this._context.createImageData(t,n);if(r.length===1)return this._context.createImageData(t)}createLinearGradient(t,n,r,i){return this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,s){return this._context.createRadialGradient(t,n,r,i,o,s)}drawImage(t,n,r,i,o,s,a,l,u){var d=arguments,f=this._context;d.length===3?f.drawImage(t,n,r):d.length===5?f.drawImage(t,n,r,i,o):d.length===9&&f.drawImage(t,n,r,i,o,s,a,l,u)}ellipse(t,n,r,i,o,s,a,l){this._context.ellipse(t,n,r,i,o,s,a,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return this._context.getImageData(t,n,r,i)}lineTo(t,n){this._context.lineTo(t,n)}moveTo(t,n){this._context.moveTo(t,n)}rect(t,n,r,i){this._context.rect(t,n,r,i)}putImageData(t,n,r){this._context.putImageData(t,n,r)}quadraticCurveTo(t,n,r,i){this._context.quadraticCurveTo(t,n,r,i)}restore(){this._context.restore()}rotate(t){this._context.rotate(t)}save(){this._context.save()}scale(t,n){this._context.scale(t,n)}setLineDash(t){this._context.setLineDash?this._context.setLineDash(t):"mozDash"in this._context?this._context.mozDash=t:"webkitLineDash"in this._context&&(this._context.webkitLineDash=t)}getLineDash(){return this._context.getLineDash()}setTransform(t,n,r,i,o,s){this._context.setTransform(t,n,r,i,o,s)}stroke(t){t?this._context.stroke(t):this._context.stroke()}strokeText(t,n,r,i){this._context.strokeText(t,n,r,i)}transform(t,n,r,i,o,s){this._context.transform(t,n,r,i,o,s)}translate(t,n){this._context.translate(t,n)}_enableTrace(){var t=this,n=VO.length,r=this.setAttr,i,o,s=function(a){var l=t[a],u;t[a]=function(){return o=xSe(Array.prototype.slice.call(arguments,0)),u=l.apply(t,arguments),t._trace({method:a,args:o}),u}};for(i=0;i<n;i++)s(VO[i]);t.setAttr=function(){r.apply(t,arguments);var a=arguments[0],l=arguments[1];(a==="shadowOffsetX"||a==="shadowOffsetY"||a==="shadowBlur")&&(l=l/this.canvas.getPixelRatio()),t._trace({property:a,val:l})}}_applyGlobalCompositeOperation(t){const n=t.attrs.globalCompositeOperation;var r=!n||n==="source-over";r||this.setAttr("globalCompositeOperation",n)}}ba.Context=iS;kSe.forEach(function(e){Object.defineProperty(iS.prototype,e,{get(){return this._context[e]},set(t){this._context[e]=t}})});class MSe extends iS{constructor(t,{willReadFrequently:n=!1}={}){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:n})}_fillColor(t){var n=t.fill();this.setAttr("fillStyle",n),t._fillFunc(this)}_fillPattern(t){this.setAttr("fillStyle",t._getFillPattern()),t._fillFunc(this)}_fillLinearGradient(t){var n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",s=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,a=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),d=l.x*u,f=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",s*Math.min(Math.abs(d),Math.abs(f))),this.setAttr("shadowOffsetX",a.x*d),this.setAttr("shadowOffsetY",a.y*f)}}ba.SceneContext=MSe;class NSe extends iS{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}ba.HitContext=NSe;Object.defineProperty(Qo,"__esModule",{value:!0});Qo.HitCanvas=Qo.SceneCanvas=Qo.Canvas=void 0;const J1=Sn,KU=ba,XU=rt,LSe=nt,DSe=ke;var M0;function $Se(){if(M0)return M0;var e=J1.Util.createCanvasElement(),t=e.getContext("2d");return M0=function(){var n=XU.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),J1.Util.releaseCanvas(e),M0}class oS{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||XU.Konva.pixelRatio||$Se();this.pixelRatio=r,this._canvas=J1.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return J1.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}Qo.Canvas=oS;LSe.Factory.addGetterSetter(oS,"pixelRatio",void 0,(0,DSe.getNumberValidator)());class FSe extends oS{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new KU.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}Qo.SceneCanvas=FSe;class BSe extends oS{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new KU.HitContext(this),this.setSize(t.width,t.height)}}Qo.HitCanvas=BSe;var sS={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=rt,n=Sn;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(p=>p.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var d=a.dragDistance(),f=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(f<d||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(d=>d.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(sS);Object.defineProperty(fn,"__esModule",{value:!0});fn.Node=void 0;const ct=Sn,Am=nt,N0=Qo,wu=rt,uo=sS,Ln=ke;var _v="absoluteOpacity",L0="allEventListeners",la="absoluteTransform",jO="absoluteScale",xu="canvas",USe="Change",zSe="children",VSe="konva",o5="listening",GO="mouseenter",HO="mouseleave",WO="set",qO="Shape",bv=" ",KO="stage",sl="transform",jSe="Stage",s5="visible",GSe=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(bv);let HSe=1;class ze{constructor(t){this._id=HSe++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===sl||t===la)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===sl||t===la,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(bv);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(xu)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===la&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(xu)){const{scene:t,filter:n,hit:r}=this._cache.get(xu);ct.Util.releaseCanvas(t,n,r),this._cache.delete(xu)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,d=n.drawBorder||!1,f=n.hitCanvasPixelRatio||1;if(!i||!o){ct.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var p=new N0.SceneCanvas({pixelRatio:s,width:i,height:o}),g=new N0.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),m=new N0.HitCanvas({pixelRatio:f,width:i,height:o}),v=p.getContext(),x=m.getContext();return m.isCache=!0,p.isCache=!0,this._cache.delete(xu),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(p.getContext()._context.imageSmoothingEnabled=!1,g.getContext()._context.imageSmoothingEnabled=!1),v.save(),x.save(),v.translate(-a,-l),x.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(_v),this._clearSelfAndDescendantCache(jO),this.drawScene(p,this),this.drawHit(m,this),this._isUnderCache=!1,v.restore(),x.restore(),d&&(v.save(),v.beginPath(),v.rect(0,0,i,o),v.closePath(),v.setAttr("strokeStyle","red"),v.setAttr("lineWidth",5),v.stroke(),v.restore()),this._cache.set(xu,{scene:p,filter:g,hit:m,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(xu)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var d=l.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var d=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/d,r.getHeight()/d),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){ct.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(f){ct.Util.error("Unable to apply filter. "+f.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(L0),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(bv),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(bv),i=r.length,o,s,a,l,u,d;if(this._cache&&this._cache.delete(L0),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],d=l[1],u)this.eventListeners[u]&&this._off(u,d,n);else for(s in this.eventListeners)this._off(s,d,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=ct.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),uo.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(la),this._clearSelfAndDescendantCache(_v),this._clearSelfAndDescendantCache(jO),this._clearSelfAndDescendantCache(KO),this._clearSelfAndDescendantCache(s5),this._clearSelfAndDescendantCache(o5)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+ct.Util._capitalize(t);return ct.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==zSe&&(r=WO+ct.Util._capitalize(n),ct.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(o5,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(s5,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;uo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!wu.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==qO&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==jSe&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(sl),this._clearSelfAndDescendantCache(la)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new ct.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(sl);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(sl),this._clearSelfAndDescendantCache(la),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return ct.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return ct.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return ct.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return ct.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return ct.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&ct.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(_v,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=ct.Util.isObject(i)&&!ct.Util._isPlainObject(i)&&!ct.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),ct.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],ct.Util.isValidSelector(o)||(ct.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),ct.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),ct.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(KO,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(la,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new ct.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(la)||new ct.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(sl,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(sl)||new ct.Transform;r.reset();var i=this.x(),o=this.y(),s=wu.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,d=this.attrs.skewY||0,f=this.attrs.offsetX||0,p=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||d!==0)&&r.skew(u,d),(a!==1||l!==1)&&r.scale(a,l),(f!==0||p!==0)&&r.translate(-1*f,-1*p),r.dirty=!1,r}clone(t){var n=ct.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(VSe)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new N0.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,ct.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():wu.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+USe,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[WO+ct.Util._capitalize(t)];return ct.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(wu.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!ct.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===qO&&(n.target=this);var i=(t===GO||t===HO)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===GO||t===HO)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(L0))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(L0,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;uo.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){uo.DD._dragElements.has(this._id)||this._createDragElement(t);const r=uo.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:ct.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=uo.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),uo.DD._endDragBefore(t),uo.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=uo.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||wu.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;uo.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=uo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&uo.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return ct.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return ct.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=ze.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),wu.Konva[r]||(ct.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=wu.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(ze._createNode(i[a]));return o}}fn.Node=ze;ze.prototype.nodeType="Node";ze.prototype._attrsAffectingSize=[];ze.prototype.eventListeners={};ze.prototype.on.call(ze.prototype,GSe,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(sl),this._clearSelfAndDescendantCache(la)});ze.prototype.on.call(ze.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(s5)});ze.prototype.on.call(ze.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(o5)});ze.prototype.on.call(ze.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(_v)});const Kt=Am.Factory.addGetterSetter;Kt(ze,"zIndex");Kt(ze,"absolutePosition");Kt(ze,"position");Kt(ze,"x",0,(0,Ln.getNumberValidator)());Kt(ze,"y",0,(0,Ln.getNumberValidator)());Kt(ze,"globalCompositeOperation","source-over",(0,Ln.getStringValidator)());Kt(ze,"opacity",1,(0,Ln.getNumberValidator)());Kt(ze,"name","",(0,Ln.getStringValidator)());Kt(ze,"id","",(0,Ln.getStringValidator)());Kt(ze,"rotation",0,(0,Ln.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"scale",["x","y"]);Kt(ze,"scaleX",1,(0,Ln.getNumberValidator)());Kt(ze,"scaleY",1,(0,Ln.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"skew",["x","y"]);Kt(ze,"skewX",0,(0,Ln.getNumberValidator)());Kt(ze,"skewY",0,(0,Ln.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"offset",["x","y"]);Kt(ze,"offsetX",0,(0,Ln.getNumberValidator)());Kt(ze,"offsetY",0,(0,Ln.getNumberValidator)());Kt(ze,"dragDistance",null,(0,Ln.getNumberValidator)());Kt(ze,"width",0,(0,Ln.getNumberValidator)());Kt(ze,"height",0,(0,Ln.getNumberValidator)());Kt(ze,"listening",!0,(0,Ln.getBooleanValidator)());Kt(ze,"preventDefault",!0,(0,Ln.getBooleanValidator)());Kt(ze,"filters",null,function(e){return this._filterUpToDate=!1,e});Kt(ze,"visible",!0,(0,Ln.getBooleanValidator)());Kt(ze,"transformsEnabled","all",(0,Ln.getStringValidator)());Kt(ze,"size");Kt(ze,"dragBoundFunc");Kt(ze,"draggable",!1,(0,Ln.getBooleanValidator)());Am.Factory.backCompat(ze,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var vc={};Object.defineProperty(vc,"__esModule",{value:!0});vc.Container=void 0;const zf=nt,Lx=fn,aS=ke;class _c extends Lx.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=Lx.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=Lx.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const d=r===this;if(u){o.save();var f=this.getAbsoluteTransform(r),p=f.getMatrix();o.transform(p[0],p[1],p[2],p[3],p[4],p[5]),o.beginPath();let x;if(l)x=l.call(this,o,this);else{var g=this.clipX(),m=this.clipY();o.rect(g,m,s,a)}o.clip.apply(o,x),p=f.copy().invert().getMatrix(),o.transform(p[0],p[1],p[2],p[3],p[4],p[5])}var v=!d&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";v&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(x){x[t](n,r)}),v&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},d=this;(n=this.children)===null||n===void 0||n.forEach(function(v){if(v.visible()){var x=v.getClientRect({relativeTo:d,skipShadow:t.skipShadow,skipStroke:t.skipStroke});x.width===0&&x.height===0||(o===void 0?(o=x.x,s=x.y,a=x.x+x.width,l=x.y+x.height):(o=Math.min(o,x.x),s=Math.min(s,x.y),a=Math.max(a,x.x+x.width),l=Math.max(l,x.y+x.height)))}});for(var f=this.find("Shape"),p=!1,g=0;g<f.length;g++){var m=f[g];if(m._isVisible(this)){p=!0;break}}return p&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}vc.Container=_c;zf.Factory.addComponentsGetterSetter(_c,"clip",["x","y","width","height"]);zf.Factory.addGetterSetter(_c,"clipX",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipY",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipWidth",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipHeight",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipFunc");var YU={},Vi={};Object.defineProperty(Vi,"__esModule",{value:!0});Vi.releaseCapture=Vi.setPointerCapture=Vi.hasPointerCapture=Vi.createEvent=Vi.getCapturedShape=void 0;const WSe=rt,Lg=new Map,QU=WSe.Konva._global.PointerEvent!==void 0;function qSe(e){return Lg.get(e)}Vi.getCapturedShape=qSe;function _E(e){return{evt:e,pointerId:e.pointerId}}Vi.createEvent=_E;function KSe(e,t){return Lg.get(e)===t}Vi.hasPointerCapture=KSe;function XSe(e,t){ZU(e),t.getStage()&&(Lg.set(e,t),QU&&t._fire("gotpointercapture",_E(new PointerEvent("gotpointercapture"))))}Vi.setPointerCapture=XSe;function ZU(e,t){const n=Lg.get(e);if(!n)return;const r=n.getStage();r&&r.content,Lg.delete(e),QU&&n._fire("lostpointercapture",_E(new PointerEvent("lostpointercapture")))}Vi.releaseCapture=ZU;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=Sn,n=nt,r=vc,i=rt,o=Qo,s=sS,a=rt,l=Vi;var u="Stage",d="string",f="px",p="mouseout",g="mouseleave",m="mouseover",v="mouseenter",x="mousemove",_="mousedown",b="mouseup",y="pointermove",S="pointerdown",C="pointerup",T="pointercancel",E="lostpointercapture",P="pointerout",k="pointerleave",O="pointerover",M="pointerenter",G="contextmenu",U="touchstart",A="touchend",N="touchmove",F="touchcancel",B="wheel",D=5,V=[[v,"_pointerenter"],[_,"_pointerdown"],[x,"_pointermove"],[b,"_pointerup"],[g,"_pointerleave"],[U,"_pointerdown"],[N,"_pointermove"],[A,"_pointerup"],[F,"_pointercancel"],[m,"_pointerover"],[B,"_wheel"],[G,"_contextmenu"],[S,"_pointerdown"],[y,"_pointermove"],[C,"_pointerup"],[T,"_pointercancel"],[E,"_lostpointercapture"]];const j={mouse:{[P]:p,[k]:g,[O]:m,[M]:v,[y]:x,[S]:_,[C]:b,[T]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[P]:"touchout",[k]:"touchleave",[O]:"touchover",[M]:"touchenter",[y]:N,[S]:U,[C]:A,[T]:F,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[P]:P,[k]:k,[O]:O,[M]:M,[y]:y,[S]:S,[C]:C,[T]:T,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},q=le=>le.indexOf("pointer")>=0?"pointer":le.indexOf("touch")>=0?"touch":"mouse",Z=le=>{const W=q(le);if(W==="pointer")return i.Konva.pointerEventsEnabled&&j.pointer;if(W==="touch")return j.touch;if(W==="mouse")return j.mouse};function ee(le={}){return(le.clipFunc||le.clipWidth||le.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),le}const ie="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class se extends r.Container{constructor(W){super(ee(W)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{ee(this.attrs)}),this._checkVisibility()}_validateAdd(W){const ne=W.getType()==="Layer",fe=W.getType()==="FastLayer";ne||fe||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const W=this.visible()?"":"none";this.content.style.display=W}setContainer(W){if(typeof W===d){if(W.charAt(0)==="."){var ne=W.slice(1);W=document.getElementsByClassName(ne)[0]}else{var fe;W.charAt(0)!=="#"?fe=W:fe=W.slice(1),W=document.getElementById(fe)}if(!W)throw"Can not find container in document with id "+fe}return this._setAttr("container",W),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),W.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var W=this.children,ne=W.length,fe;for(fe=0;fe<ne;fe++)W[fe].clear();return this}clone(W){return W||(W={}),W.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,W)}destroy(){super.destroy();var W=this.content;W&&t.Util._isInDocument(W)&&this.container().removeChild(W);var ne=e.stages.indexOf(this);return ne>-1&&e.stages.splice(ne,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const W=this._pointerPositions[0]||this._changedPointerPositions[0];return W?{x:W.x,y:W.y}:(t.Util.warn(ie),null)}_getPointerById(W){return this._pointerPositions.find(ne=>ne.id===W)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(W){W=W||{},W.x=W.x||0,W.y=W.y||0,W.width=W.width||this.width(),W.height=W.height||this.height();var ne=new o.SceneCanvas({width:W.width,height:W.height,pixelRatio:W.pixelRatio||1}),fe=ne.getContext()._context,pe=this.children;return(W.x||W.y)&&fe.translate(-1*W.x,-1*W.y),pe.forEach(function(ve){if(ve.isVisible()){var ye=ve._toKonvaCanvas(W);fe.drawImage(ye._canvas,W.x,W.y,ye.getWidth()/ye.getPixelRatio(),ye.getHeight()/ye.getPixelRatio())}}),ne}getIntersection(W){if(!W)return null;var ne=this.children,fe=ne.length,pe=fe-1,ve;for(ve=pe;ve>=0;ve--){const ye=ne[ve].getIntersection(W);if(ye)return ye}return null}_resizeDOM(){var W=this.width(),ne=this.height();this.content&&(this.content.style.width=W+f,this.content.style.height=ne+f),this.bufferCanvas.setSize(W,ne),this.bufferHitCanvas.setSize(W,ne),this.children.forEach(fe=>{fe.setSize({width:W,height:ne}),fe.draw()})}add(W,...ne){if(arguments.length>1){for(var fe=0;fe<arguments.length;fe++)this.add(arguments[fe]);return this}super.add(W);var pe=this.children.length;return pe>D&&t.Util.warn("The stage has "+pe+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),W.setSize({width:this.width(),height:this.height()}),W.draw(),i.Konva.isBrowser&&this.content.appendChild(W.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(W){return l.hasPointerCapture(W,this)}setPointerCapture(W){l.setPointerCapture(W,this)}releaseCapture(W){l.releaseCapture(W,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&V.forEach(([W,ne])=>{this.content.addEventListener(W,fe=>{this[ne](fe)},{passive:!1})})}_pointerenter(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerenter,{evt:W,target:this,currentTarget:this})}_pointerover(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this})}_getTargetShape(W){let ne=this[W+"targetShape"];return ne&&!ne.getStage()&&(ne=null),ne}_pointerleave(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=this._getTargetShape(fe),ve=!s.DD.isDragging||i.Konva.hitOnDragEnabled;pe&&ve?(pe._fireAndBubble(ne.pointerout,{evt:W}),pe._fireAndBubble(ne.pointerleave,{evt:W}),this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this[fe+"targetShape"]=null):ve&&(this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this._fire(ne.pointerout,{evt:W,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=!1;this._changedPointerPositions.forEach(ve=>{var ye=this.getIntersection(ve);if(s.DD.justDragged=!1,i.Konva["_"+fe+"ListenClick"]=!0,!(ye&&ye.isListening()))return;i.Konva.capturePointerEventsEnabled&&ye.setPointerCapture(ve.id),this[fe+"ClickStartShape"]=ye,ye._fireAndBubble(ne.pointerdown,{evt:W,pointerId:ve.id}),pe=!0;const Me=W.type.indexOf("touch")>=0;ye.preventDefault()&&W.cancelable&&Me&&W.preventDefault()}),pe||this._fire(ne.pointerdown,{evt:W,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;s.DD.isDragging&&s.DD.node.preventDefault()&&W.cancelable&&W.preventDefault(),this.setPointersPositions(W);var pe=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!pe)return;var ve={};let ye=!1;var We=this._getTargetShape(fe);this._changedPointerPositions.forEach(Me=>{const Ee=l.getCapturedShape(Me.id)||this.getIntersection(Me),lt=Me.id,_e={evt:W,pointerId:lt};var jt=We!==Ee;if(jt&&We&&(We._fireAndBubble(ne.pointerout,Object.assign({},_e),Ee),We._fireAndBubble(ne.pointerleave,Object.assign({},_e),Ee)),Ee){if(ve[Ee._id])return;ve[Ee._id]=!0}Ee&&Ee.isListening()?(ye=!0,jt&&(Ee._fireAndBubble(ne.pointerover,Object.assign({},_e),We),Ee._fireAndBubble(ne.pointerenter,Object.assign({},_e),We),this[fe+"targetShape"]=Ee),Ee._fireAndBubble(ne.pointermove,Object.assign({},_e))):We&&(this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this,pointerId:lt}),this[fe+"targetShape"]=null)}),ye||this._fire(ne.pointermove,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;this.setPointersPositions(W);const pe=this[fe+"ClickStartShape"],ve=this[fe+"ClickEndShape"];var ye={};let We=!1;this._changedPointerPositions.forEach(Me=>{const Ee=l.getCapturedShape(Me.id)||this.getIntersection(Me);if(Ee){if(Ee.releaseCapture(Me.id),ye[Ee._id])return;ye[Ee._id]=!0}const lt=Me.id,_e={evt:W,pointerId:lt};let jt=!1;i.Konva["_"+fe+"InDblClickWindow"]?(jt=!0,clearTimeout(this[fe+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+fe+"InDblClickWindow"]=!0,clearTimeout(this[fe+"DblTimeout"])),this[fe+"DblTimeout"]=setTimeout(function(){i.Konva["_"+fe+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),Ee&&Ee.isListening()?(We=!0,this[fe+"ClickEndShape"]=Ee,Ee._fireAndBubble(ne.pointerup,Object.assign({},_e)),i.Konva["_"+fe+"ListenClick"]&&pe&&pe===Ee&&(Ee._fireAndBubble(ne.pointerclick,Object.assign({},_e)),jt&&ve&&ve===Ee&&Ee._fireAndBubble(ne.pointerdblclick,Object.assign({},_e)))):(this[fe+"ClickEndShape"]=null,i.Konva["_"+fe+"ListenClick"]&&this._fire(ne.pointerclick,{evt:W,target:this,currentTarget:this,pointerId:lt}),jt&&this._fire(ne.pointerdblclick,{evt:W,target:this,currentTarget:this,pointerId:lt}))}),We||this._fire(ne.pointerup,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+fe+"ListenClick"]=!1,W.cancelable&&fe!=="touch"&&W.preventDefault()}_contextmenu(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(G,{evt:W}):this._fire(G,{evt:W,target:this,currentTarget:this})}_wheel(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(B,{evt:W}):this._fire(B,{evt:W,target:this,currentTarget:this})}_pointercancel(W){this.setPointersPositions(W);const ne=l.getCapturedShape(W.pointerId)||this.getIntersection(this.getPointerPosition());ne&&ne._fireAndBubble(C,l.createEvent(W)),l.releaseCapture(W.pointerId)}_lostpointercapture(W){l.releaseCapture(W.pointerId)}setPointersPositions(W){var ne=this._getContentPosition(),fe=null,pe=null;W=W||window.event,W.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(W.touches,ve=>{this._pointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})}),Array.prototype.forEach.call(W.changedTouches||W.touches,ve=>{this._changedPointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})})):(fe=(W.clientX-ne.left)/ne.scaleX,pe=(W.clientY-ne.top)/ne.scaleY,this.pointerPos={x:fe,y:pe},this._pointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}],this._changedPointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}])}_setPointerPosition(W){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(W)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var W=this.content.getBoundingClientRect();return{top:W.top,left:W.left,scaleX:W.width/this.content.clientWidth||1,scaleY:W.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var W=this.container();if(!W)throw"Stage has no container. A container is required.";W.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),W.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(W){W.batchDraw()}),this}}e.Stage=se,se.prototype.nodeType=u,(0,a._registerNode)(se),n.Factory.addGetterSetter(se,"container")})(YU);var Pm={},rr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=rt,n=Sn,r=nt,i=fn,o=ke,s=rt,a=Vi;var l="hasShadow",u="shadowRGBA",d="patternImage",f="linearGradient",p="radialGradient";let g;function m(){return g||(g=n.Util.createCanvasElement().getContext("2d"),g)}e.shapes={};function v(k){const O=this.attrs.fillRule;O?k.fill(O):k.fill()}function x(k){k.stroke()}function _(k){k.fill()}function b(k){k.stroke()}function y(){this._clearCache(l)}function S(){this._clearCache(u)}function C(){this._clearCache(d)}function T(){this._clearCache(f)}function E(){this._clearCache(p)}class P extends i.Node{constructor(O){super(O);let M;for(;M=n.Util.getRandomColor(),!(M&&!(M in e.shapes)););this.colorKey=M,e.shapes[M]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(d,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var O=m();const M=O.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(M&&M.setTransform){const G=new n.Transform;G.translate(this.fillPatternX(),this.fillPatternY()),G.rotate(t.Konva.getAngle(this.fillPatternRotation())),G.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),G.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const U=G.getMatrix(),A=typeof DOMMatrix>"u"?{a:U[0],b:U[1],c:U[2],d:U[3],e:U[4],f:U[5]}:new DOMMatrix(U);M.setTransform(A)}return M}}_getLinearGradient(){return this._getCache(f,this.__getLinearGradient)}__getLinearGradient(){var O=this.fillLinearGradientColorStops();if(O){for(var M=m(),G=this.fillLinearGradientStartPoint(),U=this.fillLinearGradientEndPoint(),A=M.createLinearGradient(G.x,G.y,U.x,U.y),N=0;N<O.length;N+=2)A.addColorStop(O[N],O[N+1]);return A}}_getRadialGradient(){return this._getCache(p,this.__getRadialGradient)}__getRadialGradient(){var O=this.fillRadialGradientColorStops();if(O){for(var M=m(),G=this.fillRadialGradientStartPoint(),U=this.fillRadialGradientEndPoint(),A=M.createRadialGradient(G.x,G.y,this.fillRadialGradientStartRadius(),U.x,U.y,this.fillRadialGradientEndRadius()),N=0;N<O.length;N+=2)A.addColorStop(O[N],O[N+1]);return A}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var O=n.Util.colorToRGBA(this.shadowColor());if(O)return"rgba("+O.r+","+O.g+","+O.b+","+O.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const O=this.hitStrokeWidth();return O==="auto"?this.hasStroke():this.strokeEnabled()&&!!O}intersects(O){var M=this.getStage(),G=M.bufferHitCanvas,U;return G.getContext().clear(),this.drawHit(G,null,!0),U=G.context.getImageData(Math.round(O.x),Math.round(O.y),1,1).data,U[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(O){var M;if(!this.getStage()||!((M=this.attrs.perfectDrawEnabled)!==null&&M!==void 0?M:!0))return!1;const U=O||this.hasFill(),A=this.hasStroke(),N=this.getAbsoluteOpacity()!==1;if(U&&A&&N)return!0;const F=this.hasShadow(),B=this.shadowForStrokeEnabled();return!!(U&&A&&F&&B)}setStrokeHitEnabled(O){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),O?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var O=this.size();return{x:this._centroid?-O.width/2:0,y:this._centroid?-O.height/2:0,width:O.width,height:O.height}}getClientRect(O={}){const M=O.skipTransform,G=O.relativeTo,U=this.getSelfRect(),N=!O.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,F=U.width+N,B=U.height+N,D=!O.skipShadow&&this.hasShadow(),V=D?this.shadowOffsetX():0,j=D?this.shadowOffsetY():0,q=F+Math.abs(V),Z=B+Math.abs(j),ee=D&&this.shadowBlur()||0,ie=q+ee*2,se=Z+ee*2,le={width:ie,height:se,x:-(N/2+ee)+Math.min(V,0)+U.x,y:-(N/2+ee)+Math.min(j,0)+U.y};return M?le:this._transformedRect(le,G)}drawScene(O,M){var G=this.getLayer(),U=O||G.getCanvas(),A=U.getContext(),N=this._getCanvasCache(),F=this.getSceneFunc(),B=this.hasShadow(),D,V,j,q=U.isCache,Z=M===this;if(!this.isVisible()&&!Z)return this;if(N){A.save();var ee=this.getAbsoluteTransform(M).getMatrix();return A.transform(ee[0],ee[1],ee[2],ee[3],ee[4],ee[5]),this._drawCachedSceneCanvas(A),A.restore(),this}if(!F)return this;if(A.save(),this._useBufferCanvas()&&!q){D=this.getStage(),V=D.bufferCanvas,j=V.getContext(),j.clear(),j.save(),j._applyLineJoin(this);var ie=this.getAbsoluteTransform(M).getMatrix();j.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),F.call(this,j,this),j.restore();var se=V.pixelRatio;B&&A._applyShadow(this),A._applyOpacity(this),A._applyGlobalCompositeOperation(this),A.drawImage(V._canvas,0,0,V.width/se,V.height/se)}else{if(A._applyLineJoin(this),!Z){var ie=this.getAbsoluteTransform(M).getMatrix();A.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),A._applyOpacity(this),A._applyGlobalCompositeOperation(this)}B&&A._applyShadow(this),F.call(this,A,this)}return A.restore(),this}drawHit(O,M,G=!1){if(!this.shouldDrawHit(M,G))return this;var U=this.getLayer(),A=O||U.hitCanvas,N=A&&A.getContext(),F=this.hitFunc()||this.sceneFunc(),B=this._getCanvasCache(),D=B&&B.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),D){N.save();var V=this.getAbsoluteTransform(M).getMatrix();return N.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedHitCanvas(N),N.restore(),this}if(!F)return this;if(N.save(),N._applyLineJoin(this),!(this===M)){var q=this.getAbsoluteTransform(M).getMatrix();N.transform(q[0],q[1],q[2],q[3],q[4],q[5])}return F.call(this,N,this),N.restore(),this}drawHitFromCache(O=0){var M=this._getCanvasCache(),G=this._getCachedSceneCanvas(),U=M.hit,A=U.getContext(),N=U.getWidth(),F=U.getHeight(),B,D,V,j,q,Z;A.clear(),A.drawImage(G._canvas,0,0,N,F);try{for(B=A.getImageData(0,0,N,F),D=B.data,V=D.length,j=n.Util._hexToRgb(this.colorKey),q=0;q<V;q+=4)Z=D[q+3],Z>O?(D[q]=j.r,D[q+1]=j.g,D[q+2]=j.b,D[q+3]=255):D[q+3]=0;A.putImageData(B,0,0)}catch(ee){n.Util.error("Unable to draw hit graph from cached scene canvas. "+ee.message)}return this}hasPointerCapture(O){return a.hasPointerCapture(O,this)}setPointerCapture(O){a.setPointerCapture(O,this)}releaseCapture(O){a.releaseCapture(O,this)}}e.Shape=P,P.prototype._fillFunc=v,P.prototype._strokeFunc=x,P.prototype._fillFuncHit=_,P.prototype._strokeFuncHit=b,P.prototype._centroid=!1,P.prototype.nodeType="Shape",(0,s._registerNode)(P),P.prototype.eventListeners={},P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",y),P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",S),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",C),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",T),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",E),r.Factory.addGetterSetter(P,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(P,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(P,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"lineJoin"),r.Factory.addGetterSetter(P,"lineCap"),r.Factory.addGetterSetter(P,"sceneFunc"),r.Factory.addGetterSetter(P,"hitFunc"),r.Factory.addGetterSetter(P,"dash"),r.Factory.addGetterSetter(P,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(P,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(P,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternImage"),r.Factory.addGetterSetter(P,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(P,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(P,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(P,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(P,"fillEnabled",!0),r.Factory.addGetterSetter(P,"strokeEnabled",!0),r.Factory.addGetterSetter(P,"shadowEnabled",!0),r.Factory.addGetterSetter(P,"dashEnabled",!0),r.Factory.addGetterSetter(P,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(P,"fillPriority","color"),r.Factory.addComponentsGetterSetter(P,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(P,"fillPatternRotation",0),r.Factory.addGetterSetter(P,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(P,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(rr);Object.defineProperty(Pm,"__esModule",{value:!0});Pm.Layer=void 0;const ia=Sn,Dx=vc,hd=fn,bE=nt,XO=Qo,YSe=ke,QSe=rr,ZSe=rt;var JSe="#",e2e="beforeDraw",t2e="draw",JU=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],n2e=JU.length;class Vf extends Dx.Container{constructor(t){super(t),this.canvas=new XO.SceneCanvas,this.hitCanvas=new XO.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){hd.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=hd.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(hd.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(hd.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return hd.Node.prototype.remove.call(this),t&&t.parentNode&&ia.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&ia.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),hd.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){ia.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){ia.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,ia.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<n2e;i++){const o=JU[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=ia.Util._rgbToHex(r[0],r[1],r[2]),s=QSe.shapes[JSe+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(e2e,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),Dx.Container.prototype.drawScene.call(this,i,n),this._fire(t2e,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),Dx.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){ia.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return ia.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return ia.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Pm.Layer=Vf;Vf.prototype.nodeType="Layer";(0,ZSe._registerNode)(Vf);bE.Factory.addGetterSetter(Vf,"imageSmoothingEnabled",!0);bE.Factory.addGetterSetter(Vf,"clearBeforeDraw",!0);bE.Factory.addGetterSetter(Vf,"hitGraphEnabled",!0,(0,YSe.getBooleanValidator)());var lS={};Object.defineProperty(lS,"__esModule",{value:!0});lS.FastLayer=void 0;const r2e=Sn,i2e=Pm,o2e=rt;class SE extends i2e.Layer{constructor(t){super(t),this.listening(!1),r2e.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}lS.FastLayer=SE;SE.prototype.nodeType="FastLayer";(0,o2e._registerNode)(SE);var jf={};Object.defineProperty(jf,"__esModule",{value:!0});jf.Group=void 0;const s2e=Sn,a2e=vc,l2e=rt;class wE extends a2e.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&s2e.Util.throw("You may only add groups and shapes to groups.")}}jf.Group=wE;wE.prototype.nodeType="Group";(0,l2e._registerNode)(wE);var Gf={};Object.defineProperty(Gf,"__esModule",{value:!0});Gf.Animation=void 0;const $x=rt,YO=Sn;var Fx=function(){return $x.glob.performance&&$x.glob.performance.now?function(){return $x.glob.performance.now()}:function(){return new Date().getTime()}}();class ws{constructor(t,n){this.id=ws.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Fx(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=ws,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=Fx(),ws._addAnimation(this),this}stop(){return ws._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,d,f;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(Fx()),l=i.length,o?f=o.call(r,r.frame)!==!1:f=!0,!!f)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(d in t)t.hasOwnProperty(d)&&t[d].batchDraw()}static _animationLoop(){var t=ws;t.animations.length?(t._runFrames(),YO.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,YO.Util.requestAnimFrame(this._animationLoop))}}Gf.Animation=ws;ws.animations=[];ws.animIdCounter=0;ws.animRunning=!1;var ez={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=Sn,n=Gf,r=fn,i=rt;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,d=["fill","stroke","shadowColor"];class f{constructor(m,v,x,_,b,y,S){this.prop=m,this.propFunc=v,this.begin=_,this._pos=_,this.duration=y,this._change=0,this.prevPos=0,this.yoyo=S,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=x,this._change=b-this.begin,this.pause()}fire(m){var v=this[m];v&&v()}setTime(m){m>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():m<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=m,this.update())}getTime(){return this._time}setPosition(m){this.prevPos=this._pos,this.propFunc(m),this._pos=m}getPosition(m){return m===void 0&&(m=this._time),this.func(m,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(m){this.pause(),this._time=m,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var m=this.getTimer()-this._startTime;this.state===a?this.setTime(m):this.state===l&&this.setTime(this.duration-m)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class p{constructor(m){var v=this,x=m.node,_=x._id,b,y=m.easing||e.Easings.Linear,S=!!m.yoyo,C;typeof m.duration>"u"?b=.3:m.duration===0?b=.001:b=m.duration,this.node=x,this._id=u++;var T=x.getLayer()||(x instanceof i.Konva.Stage?x.getLayers():null);T||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){v.tween.onEnterFrame()},T),this.tween=new f(C,function(E){v._tweenFunc(E)},y,0,1,b*1e3,S),this._addListeners(),p.attrs[_]||(p.attrs[_]={}),p.attrs[_][this._id]||(p.attrs[_][this._id]={}),p.tweens[_]||(p.tweens[_]={});for(C in m)o[C]===void 0&&this._addAttr(C,m[C]);this.reset(),this.onFinish=m.onFinish,this.onReset=m.onReset,this.onUpdate=m.onUpdate}_addAttr(m,v){var x=this.node,_=x._id,b,y,S,C,T,E,P,k;if(S=p.tweens[_][m],S&&delete p.attrs[_][S][m],b=x.getAttr(m),t.Util._isArray(v))if(y=[],T=Math.max(v.length,b.length),m==="points"&&v.length!==b.length&&(v.length>b.length?(P=b,b=t.Util._prepareArrayForTween(b,v,x.closed())):(E=v,v=t.Util._prepareArrayForTween(v,b,x.closed()))),m.indexOf("fill")===0)for(C=0;C<T;C++)if(C%2===0)y.push(v[C]-b[C]);else{var O=t.Util.colorToRGBA(b[C]);k=t.Util.colorToRGBA(v[C]),b[C]=O,y.push({r:k.r-O.r,g:k.g-O.g,b:k.b-O.b,a:k.a-O.a})}else for(C=0;C<T;C++)y.push(v[C]-b[C]);else d.indexOf(m)!==-1?(b=t.Util.colorToRGBA(b),k=t.Util.colorToRGBA(v),y={r:k.r-b.r,g:k.g-b.g,b:k.b-b.b,a:k.a-b.a}):y=v-b;p.attrs[_][this._id][m]={start:b,diff:y,end:v,trueEnd:E,trueStart:P},p.tweens[_][m]=this._id}_tweenFunc(m){var v=this.node,x=p.attrs[v._id][this._id],_,b,y,S,C,T,E,P;for(_ in x){if(b=x[_],y=b.start,S=b.diff,P=b.end,t.Util._isArray(y))if(C=[],E=Math.max(y.length,P.length),_.indexOf("fill")===0)for(T=0;T<E;T++)T%2===0?C.push((y[T]||0)+S[T]*m):C.push("rgba("+Math.round(y[T].r+S[T].r*m)+","+Math.round(y[T].g+S[T].g*m)+","+Math.round(y[T].b+S[T].b*m)+","+(y[T].a+S[T].a*m)+")");else for(T=0;T<E;T++)C.push((y[T]||0)+S[T]*m);else d.indexOf(_)!==-1?C="rgba("+Math.round(y.r+S.r*m)+","+Math.round(y.g+S.g*m)+","+Math.round(y.b+S.b*m)+","+(y.a+S.a*m)+")":C=y+S*m;v.setAttr(_,C)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var m=this.node,v=p.attrs[m._id][this._id];v.points&&v.points.trueEnd&&m.setAttr("points",v.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var m=this.node,v=p.attrs[m._id][this._id];v.points&&v.points.trueStart&&m.points(v.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(m){return this.tween.seek(m*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var m=this.node._id,v=this._id,x=p.tweens[m],_;this.pause();for(_ in x)delete p.tweens[m][_];delete p.attrs[m][v]}}e.Tween=p,p.attrs={},p.tweens={},r.Node.prototype.to=function(g){var m=g.onFinish;g.node=this,g.onFinish=function(){this.destroy(),m&&m()};var v=new p(g);v.play()},e.Easings={BackEaseIn(g,m,v,x){var _=1.70158;return v*(g/=x)*g*((_+1)*g-_)+m},BackEaseOut(g,m,v,x){var _=1.70158;return v*((g=g/x-1)*g*((_+1)*g+_)+1)+m},BackEaseInOut(g,m,v,x){var _=1.70158;return(g/=x/2)<1?v/2*(g*g*(((_*=1.525)+1)*g-_))+m:v/2*((g-=2)*g*(((_*=1.525)+1)*g+_)+2)+m},ElasticEaseIn(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x)===1?m+v:(b||(b=x*.3),!_||_<Math.abs(v)?(_=v,y=b/4):y=b/(2*Math.PI)*Math.asin(v/_),-(_*Math.pow(2,10*(g-=1))*Math.sin((g*x-y)*(2*Math.PI)/b))+m)},ElasticEaseOut(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x)===1?m+v:(b||(b=x*.3),!_||_<Math.abs(v)?(_=v,y=b/4):y=b/(2*Math.PI)*Math.asin(v/_),_*Math.pow(2,-10*g)*Math.sin((g*x-y)*(2*Math.PI)/b)+v+m)},ElasticEaseInOut(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x/2)===2?m+v:(b||(b=x*(.3*1.5)),!_||_<Math.abs(v)?(_=v,y=b/4):y=b/(2*Math.PI)*Math.asin(v/_),g<1?-.5*(_*Math.pow(2,10*(g-=1))*Math.sin((g*x-y)*(2*Math.PI)/b))+m:_*Math.pow(2,-10*(g-=1))*Math.sin((g*x-y)*(2*Math.PI)/b)*.5+v+m)},BounceEaseOut(g,m,v,x){return(g/=x)<1/2.75?v*(7.5625*g*g)+m:g<2/2.75?v*(7.5625*(g-=1.5/2.75)*g+.75)+m:g<2.5/2.75?v*(7.5625*(g-=2.25/2.75)*g+.9375)+m:v*(7.5625*(g-=2.625/2.75)*g+.984375)+m},BounceEaseIn(g,m,v,x){return v-e.Easings.BounceEaseOut(x-g,0,v,x)+m},BounceEaseInOut(g,m,v,x){return g<x/2?e.Easings.BounceEaseIn(g*2,0,v,x)*.5+m:e.Easings.BounceEaseOut(g*2-x,0,v,x)*.5+v*.5+m},EaseIn(g,m,v,x){return v*(g/=x)*g+m},EaseOut(g,m,v,x){return-v*(g/=x)*(g-2)+m},EaseInOut(g,m,v,x){return(g/=x/2)<1?v/2*g*g+m:-v/2*(--g*(g-2)-1)+m},StrongEaseIn(g,m,v,x){return v*(g/=x)*g*g*g*g+m},StrongEaseOut(g,m,v,x){return v*((g=g/x-1)*g*g*g*g+1)+m},StrongEaseInOut(g,m,v,x){return(g/=x/2)<1?v/2*g*g*g*g*g+m:v/2*((g-=2)*g*g*g*g+2)+m},Linear(g,m,v,x){return v*g/x+m}}})(ez);(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Konva=void 0;const t=rt,n=Sn,r=fn,i=vc,o=YU,s=Pm,a=lS,l=jf,u=sS,d=rr,f=Gf,p=ez,g=ba,m=Qo;e.Konva=n.Util._assign(t.Konva,{Util:n.Util,Transform:n.Transform,Node:r.Node,Container:i.Container,Stage:o.Stage,stages:o.stages,Layer:s.Layer,FastLayer:a.FastLayer,Group:l.Group,DD:u.DD,Shape:d.Shape,shapes:d.shapes,Animation:f.Animation,Tween:p.Tween,Easings:p.Easings,Context:g.Context,Canvas:m.Canvas}),e.default=e.Konva})(WU);var uS={};Object.defineProperty(uS,"__esModule",{value:!0});uS.Arc=void 0;const cS=nt,u2e=rr,QO=rt,dS=ke,c2e=rt;class Ua extends u2e.Shape{_sceneFunc(t){var n=QO.Konva.getAngle(this.angle()),r=this.clockwise();t.beginPath(),t.arc(0,0,this.outerRadius(),0,n,r),t.arc(0,0,this.innerRadius(),n,0,!r),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}getSelfRect(){const t=this.innerRadius(),n=this.outerRadius(),r=this.clockwise(),i=QO.Konva.getAngle(r?360-this.angle():this.angle()),o=Math.cos(Math.min(i,Math.PI)),s=1,a=Math.sin(Math.min(Math.max(Math.PI,i),3*Math.PI/2)),l=Math.sin(Math.min(i,Math.PI/2)),u=o*(o>0?t:n),d=s*n,f=a*(a>0?t:n),p=l*(l>0?n:t);return{x:u,y:r?-1*p:f,width:d-u,height:p-f}}}uS.Arc=Ua;Ua.prototype._centroid=!0;Ua.prototype.className="Arc";Ua.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,c2e._registerNode)(Ua);cS.Factory.addGetterSetter(Ua,"innerRadius",0,(0,dS.getNumberValidator)());cS.Factory.addGetterSetter(Ua,"outerRadius",0,(0,dS.getNumberValidator)());cS.Factory.addGetterSetter(Ua,"angle",0,(0,dS.getNumberValidator)());cS.Factory.addGetterSetter(Ua,"clockwise",!1,(0,dS.getBooleanValidator)());var fS={},Rm={};Object.defineProperty(Rm,"__esModule",{value:!0});Rm.Line=void 0;const hS=nt,d2e=rr,tz=ke,f2e=rt;function a5(e,t,n,r,i,o,s){var a=Math.sqrt(Math.pow(n-e,2)+Math.pow(r-t,2)),l=Math.sqrt(Math.pow(i-n,2)+Math.pow(o-r,2)),u=s*a/(a+l),d=s*l/(a+l),f=n-u*(i-e),p=r-u*(o-t),g=n+d*(i-e),m=r+d*(o-t);return[f,p,g,m]}function ZO(e,t){var n=e.length,r=[],i,o;for(i=2;i<n-2;i+=2)o=a5(e[i-2],e[i-1],e[i],e[i+1],e[i+2],e[i+3],t),!isNaN(o[0])&&(r.push(o[0]),r.push(o[1]),r.push(e[i]),r.push(e[i+1]),r.push(o[2]),r.push(o[3]));return r}class iu extends d2e.Shape{constructor(t){super(t),this.on("pointsChange.konva tensionChange.konva closedChange.konva bezierChange.konva",function(){this._clearCache("tensionPoints")})}_sceneFunc(t){var n=this.points(),r=n.length,i=this.tension(),o=this.closed(),s=this.bezier(),a,l,u;if(r){if(t.beginPath(),t.moveTo(n[0],n[1]),i!==0&&r>4){for(a=this.getTensionPoints(),l=a.length,u=o?0:4,o||t.quadraticCurveTo(a[0],a[1],a[2],a[3]);u<l-2;)t.bezierCurveTo(a[u++],a[u++],a[u++],a[u++],a[u++],a[u++]);o||t.quadraticCurveTo(a[l-2],a[l-1],n[r-2],n[r-1])}else if(s)for(u=2;u<r;)t.bezierCurveTo(n[u++],n[u++],n[u++],n[u++],n[u++],n[u++]);else for(u=2;u<r;u+=2)t.lineTo(n[u],n[u+1]);o?(t.closePath(),t.fillStrokeShape(this)):t.strokeShape(this)}}getTensionPoints(){return this._getCache("tensionPoints",this._getTensionPoints)}_getTensionPoints(){return this.closed()?this._getTensionPointsClosed():ZO(this.points(),this.tension())}_getTensionPointsClosed(){var t=this.points(),n=t.length,r=this.tension(),i=a5(t[n-2],t[n-1],t[0],t[1],t[2],t[3],r),o=a5(t[n-4],t[n-3],t[n-2],t[n-1],t[0],t[1],r),s=ZO(t,r),a=[i[2],i[3]].concat(s).concat([o[0],o[1],t[n-2],t[n-1],o[2],o[3],i[0],i[1],t[0],t[1]]);return 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n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],isNaN(s)||(n=Math.min(n,s),r=Math.max(r,s)),isNaN(a)||(i=Math.min(i,a),o=Math.max(o,a));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return Zn.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return Zn.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return Zn.getPointOnCubicBezier((0,pd.t2length)(t,Zn.getPathLength(n),v=>(0,pd.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return Zn.getPointOnQuadraticBezier((0,pd.t2length)(t,Zn.getPathLength(n),v=>(0,pd.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],d=a[2],f=a[3],p=a[4],g=a[5],m=a[6];return p+=g*t/s.pathLength,Zn.getPointOnEllipticalArc(l,u,d,f,p,m)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var d=l*u,f;if(i===n)f={x:s,y:a+d};else if((a-r)/(s-n+1e-8)===l)f={x:s+u,y:a+d};else{var p,g,m=this.getLineLength(n,r,i,o),v=(s-n)*(i-n)+(a-r)*(o-r);v=v/(m*m),p=n+v*(i-n),g=r+v*(o-r);var x=this.getLineLength(s,a,p,g),_=Math.sqrt(t*t-x*x);u=Math.sqrt(_*_/(1+l*l)),i<n&&(u*=-1),d=l*u,f={x:p+u,y:g+d}}return f}static getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function d(x){return x*x*x}function f(x){return 3*x*x*(1-x)}function p(x){return 3*x*(1-x)*(1-x)}function g(x){return(1-x)*(1-x)*(1-x)}var m=l*d(t)+s*f(t)+i*p(t)+n*g(t),v=u*d(t)+a*f(t)+o*p(t)+r*g(t);return{x:m,y:v}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(g){return g*g}function u(g){return 2*g*(1-g)}function d(g){return(1-g)*(1-g)}var f=s*l(t)+i*u(t)+n*d(t),p=a*l(t)+o*u(t)+r*d(t);return{x:f,y:p}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,d=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,f;for(i=1;i<o.length;i++){var p=o[i],g=p.charAt(0);for(p=p.slice(1),a.length=0;f=d.exec(p);)a.push(f[0]);for(var m=[],v=0,x=a.length;v<x;v++){if(a[v]==="00"){m.push(0,0);continue}var _=parseFloat(a[v]);isNaN(_)?m.push(0):m.push(_)}for(;m.length>0&&!isNaN(m[0]);){var b=null,y=[],S=l,C=u,T,E,P,k,O,M,G,U,A,N;switch(g){case"l":l+=m.shift(),u+=m.shift(),b="L",y.push(l,u);break;case"L":l=m.shift(),u=m.shift(),y.push(l,u);break;case"m":var F=m.shift(),B=m.shift();if(l+=F,u+=B,b="M",s.length>2&&s[s.length-1].command==="z"){for(var D=s.length-2;D>=0;D--)if(s[D].command==="M"){l=s[D].points[0]+F,u=s[D].points[1]+B;break}}y.push(l,u),g="l";break;case"M":l=m.shift(),u=m.shift(),b="M",y.push(l,u),g="L";break;case"h":l+=m.shift(),b="L",y.push(l,u);break;case"H":l=m.shift(),b="L",y.push(l,u);break;case"v":u+=m.shift(),b="L",y.push(l,u);break;case"V":u=m.shift(),b="L",y.push(l,u);break;case"C":y.push(m.shift(),m.shift(),m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"c":y.push(l+m.shift(),u+m.shift(),l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"S":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,m.shift(),m.shift()),l=m.shift(),u=m.shift(),b="C",y.push(l,u);break;case"s":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"Q":y.push(m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"q":y.push(l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="Q",y.push(l,u);break;case"T":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l=m.shift(),u=m.shift(),b="Q",y.push(E,P,l,u);break;case"t":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l+=m.shift(),u+=m.shift(),b="Q",y.push(E,P,l,u);break;case"A":k=m.shift(),O=m.shift(),M=m.shift(),G=m.shift(),U=m.shift(),A=l,N=u,l=m.shift(),u=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,G,U,k,O,M);break;case"a":k=m.shift(),O=m.shift(),M=m.shift(),G=m.shift(),U=m.shift(),A=l,N=u,l+=m.shift(),u+=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,G,U,k,O,M);break}s.push({command:b||g,points:y,start:{x:S,y:C},pathLength:this.calcLength(S,C,b||g,y)})}(g==="z"||g==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=Zn;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,pd.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,pd.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var d=i[4],f=i[5],p=i[4]+f,g=Math.PI/180;if(Math.abs(d-p)<g&&(g=Math.abs(d-p)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],d,0),f<0)for(l=d-g;l>p;l-=g)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=d+g;l<p;l+=g)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],p,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var d=u*(Math.PI/180),f=Math.cos(d)*(t-r)/2+Math.sin(d)*(n-i)/2,p=-1*Math.sin(d)*(t-r)/2+Math.cos(d)*(n-i)/2,g=f*f/(a*a)+p*p/(l*l);g>1&&(a*=Math.sqrt(g),l*=Math.sqrt(g));var m=Math.sqrt((a*a*(l*l)-a*a*(p*p)-l*l*(f*f))/(a*a*(p*p)+l*l*(f*f)));o===s&&(m*=-1),isNaN(m)&&(m=0);var v=m*a*p/l,x=m*-l*f/a,_=(t+r)/2+Math.cos(d)*v-Math.sin(d)*x,b=(n+i)/2+Math.sin(d)*v+Math.cos(d)*x,y=function(O){return Math.sqrt(O[0]*O[0]+O[1]*O[1])},S=function(O,M){return(O[0]*M[0]+O[1]*M[1])/(y(O)*y(M))},C=function(O,M){return(O[0]*M[1]<O[1]*M[0]?-1:1)*Math.acos(S(O,M))},T=C([1,0],[(f-v)/a,(p-x)/l]),E=[(f-v)/a,(p-x)/l],P=[(-1*f-v)/a,(-1*p-x)/l],k=C(E,P);return S(E,P)<=-1&&(k=Math.PI),S(E,P)>=1&&(k=0),s===0&&k>0&&(k=k-2*Math.PI),s===1&&k<0&&(k=k+2*Math.PI),[_,b,a,l,T,k,d,s]}}Hf.Path=Zn;Zn.prototype.className="Path";Zn.prototype._attrsAffectingSize=["data"];(0,g2e._registerNode)(Zn);h2e.Factory.addGetterSetter(Zn,"data");Object.defineProperty(fS,"__esModule",{value:!0});fS.Arrow=void 0;const pS=nt,m2e=Rm,rz=ke,y2e=rt,JO=Hf;class bc extends m2e.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const p=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],g=JO.Path.calcLength(i[i.length-4],i[i.length-3],"C",p),m=JO.Path.getPointOnQuadraticBezier(Math.min(1,1-s/g),p[0],p[1],p[2],p[3],p[4],p[5]);l=r[a-2]-m.x,u=r[a-1]-m.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var d=(Math.atan2(u,l)+n)%n,f=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(d),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}fS.Arrow=bc;bc.prototype.className="Arrow";(0,y2e._registerNode)(bc);pS.Factory.addGetterSetter(bc,"pointerLength",10,(0,rz.getNumberValidator)());pS.Factory.addGetterSetter(bc,"pointerWidth",10,(0,rz.getNumberValidator)());pS.Factory.addGetterSetter(bc,"pointerAtBeginning",!1);pS.Factory.addGetterSetter(bc,"pointerAtEnding",!0);var gS={};Object.defineProperty(gS,"__esModule",{value:!0});gS.Circle=void 0;const v2e=nt,_2e=rr,b2e=ke,S2e=rt;let Wf=class extends _2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};gS.Circle=Wf;Wf.prototype._centroid=!0;Wf.prototype.className="Circle";Wf.prototype._attrsAffectingSize=["radius"];(0,S2e._registerNode)(Wf);v2e.Factory.addGetterSetter(Wf,"radius",0,(0,b2e.getNumberValidator)());var mS={};Object.defineProperty(mS,"__esModule",{value:!0});mS.Ellipse=void 0;const xE=nt,w2e=rr,iz=ke,x2e=rt;class ou extends w2e.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}mS.Ellipse=ou;ou.prototype.className="Ellipse";ou.prototype._centroid=!0;ou.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,x2e._registerNode)(ou);xE.Factory.addComponentsGetterSetter(ou,"radius",["x","y"]);xE.Factory.addGetterSetter(ou,"radiusX",0,(0,iz.getNumberValidator)());xE.Factory.addGetterSetter(ou,"radiusY",0,(0,iz.getNumberValidator)());var yS={};Object.defineProperty(yS,"__esModule",{value:!0});yS.Image=void 0;const Bx=Sn,Sc=nt,C2e=rr,T2e=rt,Om=ke;let Us=class oz extends C2e.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?Bx.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?Bx.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=Bx.Util.createImageElement();i.onload=function(){var o=new oz({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};yS.Image=Us;Us.prototype.className="Image";(0,T2e._registerNode)(Us);Sc.Factory.addGetterSetter(Us,"cornerRadius",0,(0,Om.getNumberOrArrayOfNumbersValidator)(4));Sc.Factory.addGetterSetter(Us,"image");Sc.Factory.addComponentsGetterSetter(Us,"crop",["x","y","width","height"]);Sc.Factory.addGetterSetter(Us,"cropX",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropY",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropWidth",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropHeight",0,(0,Om.getNumberValidator)());var Rf={};Object.defineProperty(Rf,"__esModule",{value:!0});Rf.Tag=Rf.Label=void 0;const vS=nt,E2e=rr,A2e=jf,CE=ke,sz=rt;var az=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],P2e="Change.konva",R2e="none",l5="up",u5="right",c5="down",d5="left",O2e=az.length;class TE extends A2e.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<O2e;r++)t.on(az[r]+P2e,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case l5:a=r/2,l=-1*u;break;case u5:a=r+s,l=i/2;break;case c5:a=r/2,l=i+u;break;case d5:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}Rf.Label=TE;TE.prototype.className="Label";(0,sz._registerNode)(TE);class wc extends E2e.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,d=0,f=0;typeof a=="number"?l=u=d=f=Math.min(a,n/2,r/2):(l=Math.min(a[0]||0,n/2,r/2),u=Math.min(a[1]||0,n/2,r/2),f=Math.min(a[2]||0,n/2,r/2),d=Math.min(a[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===l5&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*s),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===u5&&(t.lineTo(n,(r-s)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+s)/2)),t.lineTo(n,r-f),t.arc(n-f,r-f,f,0,Math.PI/2,!1),i===c5&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+s),t.lineTo((n-o)/2,r)),t.lineTo(d,r),t.arc(d,r-d,d,Math.PI/2,Math.PI,!1),i===d5&&(t.lineTo(0,(r+s)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-s)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),s=this.width(),a=this.height();return o===l5?(n-=i,a+=i):o===c5?a+=i:o===d5?(t-=r*1.5,s+=r):o===u5&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}Rf.Tag=wc;wc.prototype.className="Tag";(0,sz._registerNode)(wc);vS.Factory.addGetterSetter(wc,"pointerDirection",R2e);vS.Factory.addGetterSetter(wc,"pointerWidth",0,(0,CE.getNumberValidator)());vS.Factory.addGetterSetter(wc,"pointerHeight",0,(0,CE.getNumberValidator)());vS.Factory.addGetterSetter(wc,"cornerRadius",0,(0,CE.getNumberOrArrayOfNumbersValidator)(4));var km={};Object.defineProperty(km,"__esModule",{value:!0});km.Rect=void 0;const k2e=nt,I2e=rr,M2e=rt,N2e=Sn,L2e=ke;let _S=class extends I2e.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?N2e.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};km.Rect=_S;_S.prototype.className="Rect";(0,M2e._registerNode)(_S);k2e.Factory.addGetterSetter(_S,"cornerRadius",0,(0,L2e.getNumberOrArrayOfNumbersValidator)(4));var bS={};Object.defineProperty(bS,"__esModule",{value:!0});bS.RegularPolygon=void 0;const lz=nt,D2e=rr,uz=ke,$2e=rt;class xc extends D2e.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}bS.RegularPolygon=xc;xc.prototype.className="RegularPolygon";xc.prototype._centroid=!0;xc.prototype._attrsAffectingSize=["radius"];(0,$2e._registerNode)(xc);lz.Factory.addGetterSetter(xc,"radius",0,(0,uz.getNumberValidator)());lz.Factory.addGetterSetter(xc,"sides",0,(0,uz.getNumberValidator)());var SS={};Object.defineProperty(SS,"__esModule",{value:!0});SS.Ring=void 0;const cz=nt,F2e=rr,dz=ke,B2e=rt;var ek=Math.PI*2;class Cc extends F2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,ek,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),ek,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}SS.Ring=Cc;Cc.prototype.className="Ring";Cc.prototype._centroid=!0;Cc.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,B2e._registerNode)(Cc);cz.Factory.addGetterSetter(Cc,"innerRadius",0,(0,dz.getNumberValidator)());cz.Factory.addGetterSetter(Cc,"outerRadius",0,(0,dz.getNumberValidator)());var wS={};Object.defineProperty(wS,"__esModule",{value:!0});wS.Sprite=void 0;const Tc=nt,U2e=rr,z2e=Gf,fz=ke,V2e=rt;class zs extends U2e.Shape{constructor(t){super(t),this._updated=!0,this.anim=new z2e.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+0],l=o[i+1],u=o[i+2],d=o[i+3],f=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,d),t.closePath(),t.fillStrokeShape(this)),f)if(s){var p=s[n],g=r*2;t.drawImage(f,a,l,u,d,p[g+0],p[g+1],u,d)}else t.drawImage(f,a,l,u,d,0,0,u,d)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+2],l=o[i+3];if(t.beginPath(),s){var u=s[n],d=r*2;t.rect(u[d+0],u[d+1],a,l)}else t.rect(0,0,a,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}wS.Sprite=zs;zs.prototype.className="Sprite";(0,V2e._registerNode)(zs);Tc.Factory.addGetterSetter(zs,"animation");Tc.Factory.addGetterSetter(zs,"animations");Tc.Factory.addGetterSetter(zs,"frameOffsets");Tc.Factory.addGetterSetter(zs,"image");Tc.Factory.addGetterSetter(zs,"frameIndex",0,(0,fz.getNumberValidator)());Tc.Factory.addGetterSetter(zs,"frameRate",17,(0,fz.getNumberValidator)());Tc.Factory.backCompat(zs,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var xS={};Object.defineProperty(xS,"__esModule",{value:!0});xS.Star=void 0;const EE=nt,j2e=rr,AE=ke,G2e=rt;class su extends j2e.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}xS.Star=su;su.prototype.className="Star";su.prototype._centroid=!0;su.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,G2e._registerNode)(su);EE.Factory.addGetterSetter(su,"numPoints",5,(0,AE.getNumberValidator)());EE.Factory.addGetterSetter(su,"innerRadius",0,(0,AE.getNumberValidator)());EE.Factory.addGetterSetter(su,"outerRadius",0,(0,AE.getNumberValidator)());var uc={};Object.defineProperty(uc,"__esModule",{value:!0});uc.Text=uc.stringToArray=void 0;const f5=Sn,di=nt,H2e=rr,au=ke,W2e=rt;function hz(e){return Array.from(e)}uc.stringToArray=hz;var gd="auto",q2e="center",Zh="justify",K2e="Change.konva",X2e="2d",tk="-",pz="left",Y2e="text",Q2e="Text",Z2e="top",J2e="bottom",nk="middle",gz="normal",ewe="px ",D0=" ",twe="right",nwe="word",rwe="char",rk="none",Ux="…",mz=["fontFamily","fontSize","fontStyle","fontVariant","padding","align","verticalAlign","lineHeight","text","width","height","wrap","ellipsis","letterSpacing"],iwe=mz.length;function owe(e){return e.split(",").map(t=>{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var $0;function zx(){return $0||($0=f5.Util.createCanvasElement().getContext(X2e),$0)}function swe(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function awe(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function lwe(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}class Dn extends H2e.Shape{constructor(t){super(lwe(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n<iwe;n++)this.on(mz[n]+K2e,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),d=this.getWidth(),f=this.letterSpacing(),p=this.fill(),g=this.textDecoration(),m=g.indexOf("underline")!==-1,v=g.indexOf("line-through")!==-1,x,_=0,_=s/2,b=0,y=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",nk),t.setAttr("textAlign",pz),a===nk?l=(this.getHeight()-r*s-i*2)/2:a===J2e&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),x=0;x<r;x++){var b=0,y=0,S=n[x],C=S.text,T=S.width,E=S.lastInParagraph,P,k,O;if(t.save(),u===twe?b+=d-T-i*2:u===q2e&&(b+=(d-T-i*2)/2),m){t.save(),t.beginPath(),t.moveTo(b,_+y+Math.round(o/2)),P=C.split(" ").length-1,k=P===0,O=u===Zh&&!E?d-i*2:T,t.lineTo(b+Math.round(O),_+y+Math.round(o/2)),t.lineWidth=o/15;const F=this._getLinearGradient();t.strokeStyle=F||p,t.stroke(),t.restore()}if(v){t.save(),t.beginPath(),t.moveTo(b,_+y),P=C.split(" ").length-1,k=P===0,O=u===Zh&&E&&!k?d-i*2:T,t.lineTo(b+Math.round(O),_+y),t.lineWidth=o/15;const F=this._getLinearGradient();t.strokeStyle=F||p,t.stroke(),t.restore()}if(f!==0||u===Zh){P=C.split(" ").length-1;for(var M=hz(C),G=0;G<M.length;G++){var U=M[G];U===" "&&!E&&u===Zh&&(b+=(d-i*2-T)/P),this._partialTextX=b,this._partialTextY=_+y,this._partialText=U,t.fillStrokeShape(this),b+=this.measureSize(U).width+f}}else this._partialTextX=b,this._partialTextY=_+y,this._partialText=C,t.fillStrokeShape(this);t.restore(),r>1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=f5.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(Y2e,n),this}getWidth(){var t=this.attrs.width===gd||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===gd||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return f5.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}measureSize(t){var n=zx(),r=this.fontSize(),i;return n.save(),n.font=this._getContextFont(),i=n.measureText(t),n.restore(),{width:i.width,height:r}}_getContextFont(){return this.fontStyle()+D0+this.fontVariant()+D0+(this.fontSize()+ewe)+owe(this.fontFamily())}_addTextLine(t){this.align()===Zh&&(t=t.trim());var r=this._getTextWidth(t);return this.textArr.push({text:t,width:r,lastInParagraph:!1})}_getTextWidth(t){var n=this.letterSpacing(),r=t.length;return zx().measureText(t).width+(r?n*(r-1):0)}_setTextData(){var t=this.text().split(`
-`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,s=this.attrs.height,a=o!==gd&&o!==void 0,l=s!==gd&&s!==void 0,u=this.padding(),d=o-u*2,f=s-u*2,p=0,g=this.wrap(),m=g!==rk,v=g!==rwe&&m,x=this.ellipsis();this.textArr=[],zx().font=this._getContextFont();for(var _=x?this._getTextWidth(Ux):0,b=0,y=t.length;b<y;++b){var S=t[b],C=this._getTextWidth(S);if(a&&C>d)for(;S.length>0;){for(var T=0,E=S.length,P="",k=0;T<E;){var O=T+E>>>1,M=S.slice(0,O+1),G=this._getTextWidth(M)+_;G<=d?(T=O+1,P=M,k=G):E=O}if(P){if(v){var U,A=S[P.length],N=A===D0||A===tk;N&&k<=d?U=P.length:U=Math.max(P.lastIndexOf(D0),P.lastIndexOf(tk))+1,U>0&&(T=U,P=P.slice(0,T),k=this._getTextWidth(P))}P=P.trimRight(),this._addTextLine(P),r=Math.max(r,k),p+=i;var F=this._shouldHandleEllipsis(p);if(F){this._tryToAddEllipsisToLastLine();break}if(S=S.slice(T),S=S.trimLeft(),S.length>0&&(C=this._getTextWidth(S),C<=d)){this._addTextLine(S),p+=i,r=Math.max(r,C);break}}else break}else this._addTextLine(S),p+=i,r=Math.max(r,C),this._shouldHandleEllipsis(p)&&b<y-1&&this._tryToAddEllipsisToLastLine();if(this.textArr[this.textArr.length-1]&&(this.textArr[this.textArr.length-1].lastInParagraph=!0),l&&p+i>f)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==gd&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==rk;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==gd&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),s=this.textArr[this.textArr.length-1];if(!(!s||!o)){if(n){var a=this._getTextWidth(s.text+Ux)<i;a||(s.text=s.text.slice(0,s.text.length-3))}this.textArr.splice(this.textArr.length-1,1),this._addTextLine(s.text+Ux)}}getStrokeScaleEnabled(){return!0}}uc.Text=Dn;Dn.prototype._fillFunc=swe;Dn.prototype._strokeFunc=awe;Dn.prototype.className=Q2e;Dn.prototype._attrsAffectingSize=["text","fontSize","padding","wrap","lineHeight","letterSpacing"];(0,W2e._registerNode)(Dn);di.Factory.overWriteSetter(Dn,"width",(0,au.getNumberOrAutoValidator)());di.Factory.overWriteSetter(Dn,"height",(0,au.getNumberOrAutoValidator)());di.Factory.addGetterSetter(Dn,"fontFamily","Arial");di.Factory.addGetterSetter(Dn,"fontSize",12,(0,au.getNumberValidator)());di.Factory.addGetterSetter(Dn,"fontStyle",gz);di.Factory.addGetterSetter(Dn,"fontVariant",gz);di.Factory.addGetterSetter(Dn,"padding",0,(0,au.getNumberValidator)());di.Factory.addGetterSetter(Dn,"align",pz);di.Factory.addGetterSetter(Dn,"verticalAlign",Z2e);di.Factory.addGetterSetter(Dn,"lineHeight",1,(0,au.getNumberValidator)());di.Factory.addGetterSetter(Dn,"wrap",nwe);di.Factory.addGetterSetter(Dn,"ellipsis",!1,(0,au.getBooleanValidator)());di.Factory.addGetterSetter(Dn,"letterSpacing",0,(0,au.getNumberValidator)());di.Factory.addGetterSetter(Dn,"text","",(0,au.getStringValidator)());di.Factory.addGetterSetter(Dn,"textDecoration","");var CS={};Object.defineProperty(CS,"__esModule",{value:!0});CS.TextPath=void 0;const Vx=Sn,is=nt,uwe=rr,Jh=Hf,jx=uc,yz=ke,cwe=rt;var dwe="",vz="normal";function _z(e){e.fillText(this.partialText,0,0)}function bz(e){e.strokeText(this.partialText,0,0)}class ir extends uwe.Shape{constructor(t){super(t),this.dummyCanvas=Vx.Util.createCanvasElement(),this.dataArray=[],this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute(),this._setTextData()}),this.on("textChange.konva alignChange.konva letterSpacingChange.konva kerningFuncChange.konva fontSizeChange.konva fontFamilyChange.konva",this._setTextData),this._setTextData()}_getTextPathLength(){return Jh.Path.getPathLength(this.dataArray)}_getPointAtLength(t){if(!this.attrs.data)return null;const n=this.pathLength;return t-1>n?null:Jh.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=Jh.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var s=0;s<o.length;s++){t.save();var a=o[s].p0;t.translate(a.x,a.y),t.rotate(o[s].rotation),this.partialText=o[s].text,t.fillStrokeShape(this),n==="underline"&&(s===0&&t.moveTo(0,i/2+1),t.lineTo(i,i/2+1)),t.restore()}n==="underline"&&(t.strokeStyle=r,t.lineWidth=i/20,t.stroke()),t.restore()}_hitFunc(t){t.beginPath();var n=this.glyphInfo;if(n.length>=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;i<n.length;i++){var o=n[i].p1;t.lineTo(o.x,o.y)}t.setAttr("lineWidth",this.fontSize()),t.setAttr("strokeStyle",this.colorKey),t.stroke()}getTextWidth(){return this.textWidth}getTextHeight(){return Vx.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}setText(t){return jx.Text.prototype.setText.call(this,t)}_getContextFont(){return jx.Text.prototype._getContextFont.call(this)}_getTextSize(t){var n=this.dummyCanvas,r=n.getContext("2d");r.save(),r.font=this._getContextFont();var i=r.measureText(t);return r.restore(),{width:i.width,height:parseInt(`${this.fontSize()}`,10)}}_setTextData(){const{width:t,height:n}=this._getTextSize(this.attrs.text);if(this.textWidth=t,this.textHeight=n,this.glyphInfo=[],!this.attrs.data)return null;const r=this.letterSpacing(),i=this.align(),o=this.kerningFunc(),s=Math.max(this.textWidth+((this.attrs.text||"").length-1)*r,0);let a=0;i==="center"&&(a=Math.max(0,this.pathLength/2-s/2)),i==="right"&&(a=Math.max(0,this.pathLength-s));const l=(0,jx.stringToArray)(this.text());let u=a;for(var d=0;d<l.length;d++){const f=this._getPointAtLength(u);if(!f)return;let p=this._getTextSize(l[d]).width+r;if(l[d]===" "&&i==="justify"){const b=this.text().split(" ").length-1;p+=(this.pathLength-s)/b}const g=this._getPointAtLength(u+p);if(!g)return;const m=Jh.Path.getLineLength(f.x,f.y,g.x,g.y);let v=0;if(o)try{v=o(l[d-1],l[d])*this.fontSize()}catch{v=0}f.x+=v,g.x+=v,this.textWidth+=v;const x=Jh.Path.getPointOnLine(v+m/2,f.x,f.y,g.x,g.y),_=Math.atan2(g.y-f.y,g.x-f.x);this.glyphInfo.push({transposeX:x.x,transposeY:x.y,text:l[d],rotation:_,p0:f,p1:g}),u+=p}}getSelfRect(){if(!this.glyphInfo.length)return{x:0,y:0,width:0,height:0};var t=[];this.glyphInfo.forEach(function(d){t.push(d.p0.x),t.push(d.p0.y),t.push(d.p1.x),t.push(d.p1.y)});for(var n=t[0]||0,r=t[0]||0,i=t[1]||0,o=t[1]||0,s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],n=Math.min(n,s),r=Math.max(r,s),i=Math.min(i,a),o=Math.max(o,a);var u=this.fontSize();return{x:n-u/2,y:i-u/2,width:r-n+u,height:o-i+u}}destroy(){return Vx.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}CS.TextPath=ir;ir.prototype._fillFunc=_z;ir.prototype._strokeFunc=bz;ir.prototype._fillFuncHit=_z;ir.prototype._strokeFuncHit=bz;ir.prototype.className="TextPath";ir.prototype._attrsAffectingSize=["text","fontSize","data"];(0,cwe._registerNode)(ir);is.Factory.addGetterSetter(ir,"data");is.Factory.addGetterSetter(ir,"fontFamily","Arial");is.Factory.addGetterSetter(ir,"fontSize",12,(0,yz.getNumberValidator)());is.Factory.addGetterSetter(ir,"fontStyle",vz);is.Factory.addGetterSetter(ir,"align","left");is.Factory.addGetterSetter(ir,"letterSpacing",0,(0,yz.getNumberValidator)());is.Factory.addGetterSetter(ir,"textBaseline","middle");is.Factory.addGetterSetter(ir,"fontVariant",vz);is.Factory.addGetterSetter(ir,"text",dwe);is.Factory.addGetterSetter(ir,"textDecoration",null);is.Factory.addGetterSetter(ir,"kerningFunc",null);var TS={};Object.defineProperty(TS,"__esModule",{value:!0});TS.Transformer=void 0;const zt=Sn,Ft=nt,ik=fn,fwe=rr,hwe=km,ok=jf,$o=rt,lu=ke,pwe=rt;var Sz="tr-konva",gwe=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${Sz}`).join(" "),sk="nodesRect",mwe=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],ywe={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const vwe="ontouchstart"in $o.Konva._global;function _we(e,t){if(e==="rotater")return"crosshair";t+=zt.Util.degToRad(ywe[e]||0);var n=(zt.Util.radToDeg(t)%360+360)%360;return zt.Util._inRange(n,315+22.5,360)||zt.Util._inRange(n,0,22.5)?"ns-resize":zt.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":zt.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":zt.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":zt.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":zt.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":zt.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":zt.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(zt.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var e_=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],ak=1e8;function bwe(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function wz(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function Swe(e,t){const n=bwe(e);return wz(e,t,n)}function wwe(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=$o.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class Ct extends ok.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(gwe,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return zt.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return Sz+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(zt.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(mwe.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(sk),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(sk,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=($o.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),d={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return wz(d,-$o.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-ak,y:-ak,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const d=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var f=[{x:d.x,y:d.y},{x:d.x+d.width,y:d.y},{x:d.x+d.width,y:d.y+d.height},{x:d.x,y:d.y+d.height}],p=u.getAbsoluteTransform();f.forEach(function(g){var m=p.point(g);n.push(m)})});const r=new zt.Transform;r.rotate(-$o.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var d=r.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:$o.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),e_.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new hwe.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:vwe?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=$o.Konva.getAngle(this.rotation()),o=_we(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new fwe.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*zt.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const d=o.getAbsolutePosition();if(!(u.x===d.x&&u.y===d.y)){if(this._movingAnchorName==="rotater"){var f=this._getNodeRect();n=o.x()-f.width/2,r=-o.y()+f.height/2;let U=Math.atan2(-r,n)+Math.PI/2;f.height<0&&(U-=Math.PI);var p=$o.Konva.getAngle(this.rotation());const A=p+U,N=$o.Konva.getAngle(this.rotationSnapTolerance()),B=wwe(this.rotationSnaps(),A,N)-f.rotation,D=Swe(f,B);this._fitNodesInto(D,t);return}var g=this.shiftBehavior(),m;g==="inverted"?m=this.keepRatio()&&!t.shiftKey:g==="none"?m=this.keepRatio():m=this.keepRatio()||t.shiftKey;var y=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(v.x-o.x(),2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-left").x()>v.x?-1:1,_=this.findOne(".top-left").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-left").x(v.x-n),this.findOne(".top-left").y(v.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-v.x,2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-right").x()<v.x?-1:1,_=this.findOne(".top-right").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-right").x(v.x+n),this.findOne(".top-right").y(v.y-r)}var b=o.position();this.findOne(".top-left").y(b.y),this.findOne(".bottom-right").x(b.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(v.x-o.x(),2)+Math.pow(o.y()-v.y,2));var x=v.x<o.x()?-1:1,_=o.y()<v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,o.x(v.x-n),o.y(v.y+r)}b=o.position(),this.findOne(".top-left").x(b.x),this.findOne(".bottom-right").y(b.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-v.x,2)+Math.pow(o.y()-v.y,2));var x=this.findOne(".bottom-right").x()<v.x?-1:1,_=this.findOne(".bottom-right").y()<v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".bottom-right").x(v.x+n),this.findOne(".bottom-right").y(v.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var y=this.centeredScaling()||t.altKey;if(y){var S=this.findOne(".top-left"),C=this.findOne(".bottom-right"),T=S.x(),E=S.y(),P=this.getWidth()-C.x(),k=this.getHeight()-C.y();C.move({x:-T,y:-E}),S.move({x:P,y:k})}var O=this.findOne(".top-left").getAbsolutePosition();n=O.x,r=O.y;var M=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),G=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:M,height:G,rotation:$o.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(zt.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(zt.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new zt.Transform;if(s.rotate($o.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const f=s.point({x:-this.padding()*2,y:0});if(t.x+=f.x,t.y+=f.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const f=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const f=s.point({x:0,y:-this.padding()*2});if(t.x+=f.x,t.y+=f.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const f=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const f=this.boundBoxFunc()(r,t);f?t=f:zt.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new zt.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new zt.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const d=u.multiply(l.invert());this._nodes.forEach(f=>{var p;const g=f.getParent().getAbsoluteTransform(),m=f.getTransform().copy();m.translate(f.offsetX(),f.offsetY());const v=new zt.Transform;v.multiply(g.copy().invert()).multiply(d).multiply(g).multiply(m);const x=v.decompose();f.setAttrs(x),this._fire("transform",{evt:n,target:f}),f._fire("transform",{evt:n,target:f}),(p=f.getLayer())===null||p===void 0||p.batchDraw()}),this.rotation(zt.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(zt.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(f=>{f.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*zt.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const d=this.anchorStyleFunc();d&&u.forEach(f=>{d(f)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),ok.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return ik.Node.prototype.toObject.call(this)}clone(t){var n=ik.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}TS.Transformer=Ct;function xwe(e){return e instanceof Array||zt.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){e_.indexOf(t)===-1&&zt.Util.warn("Unknown anchor name: "+t+". Available names are: "+e_.join(", "))}),e||[]}Ct.prototype.className="Transformer";(0,pwe._registerNode)(Ct);Ft.Factory.addGetterSetter(Ct,"enabledAnchors",e_,xwe);Ft.Factory.addGetterSetter(Ct,"flipEnabled",!0,(0,lu.getBooleanValidator)());Ft.Factory.addGetterSetter(Ct,"resizeEnabled",!0);Ft.Factory.addGetterSetter(Ct,"anchorSize",10,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"rotateEnabled",!0);Ft.Factory.addGetterSetter(Ct,"rotationSnaps",[]);Ft.Factory.addGetterSetter(Ct,"rotateAnchorOffset",50,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"rotationSnapTolerance",5,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderEnabled",!0);Ft.Factory.addGetterSetter(Ct,"anchorStroke","rgb(0, 161, 255)");Ft.Factory.addGetterSetter(Ct,"anchorStrokeWidth",1,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"anchorFill","white");Ft.Factory.addGetterSetter(Ct,"anchorCornerRadius",0,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderStroke","rgb(0, 161, 255)");Ft.Factory.addGetterSetter(Ct,"borderStrokeWidth",1,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderDash");Ft.Factory.addGetterSetter(Ct,"keepRatio",!0);Ft.Factory.addGetterSetter(Ct,"shiftBehavior","default");Ft.Factory.addGetterSetter(Ct,"centeredScaling",!1);Ft.Factory.addGetterSetter(Ct,"ignoreStroke",!1);Ft.Factory.addGetterSetter(Ct,"padding",0,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"node");Ft.Factory.addGetterSetter(Ct,"nodes");Ft.Factory.addGetterSetter(Ct,"boundBoxFunc");Ft.Factory.addGetterSetter(Ct,"anchorDragBoundFunc");Ft.Factory.addGetterSetter(Ct,"anchorStyleFunc");Ft.Factory.addGetterSetter(Ct,"shouldOverdrawWholeArea",!1);Ft.Factory.addGetterSetter(Ct,"useSingleNodeRotation",!0);Ft.Factory.backCompat(Ct,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var ES={};Object.defineProperty(ES,"__esModule",{value:!0});ES.Wedge=void 0;const AS=nt,Cwe=rr,Twe=rt,xz=ke,Ewe=rt;class za extends Cwe.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,Twe.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}ES.Wedge=za;za.prototype.className="Wedge";za.prototype._centroid=!0;za.prototype._attrsAffectingSize=["radius"];(0,Ewe._registerNode)(za);AS.Factory.addGetterSetter(za,"radius",0,(0,xz.getNumberValidator)());AS.Factory.addGetterSetter(za,"angle",0,(0,xz.getNumberValidator)());AS.Factory.addGetterSetter(za,"clockwise",!1);AS.Factory.backCompat(za,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var PS={};Object.defineProperty(PS,"__esModule",{value:!0});PS.Blur=void 0;const lk=nt,Awe=fn,Pwe=ke;function uk(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var Rwe=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],Owe=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function kwe(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,d,f,p,g,m,v,x,_,b,y,S,C,T,E,P,k,O,M,G,U=t+t+1,A=r-1,N=i-1,F=t+1,B=F*(F+1)/2,D=new uk,V=null,j=D,q=null,Z=null,ee=Rwe[t],ie=Owe[t];for(a=1;a<U;a++)j=j.next=new uk,a===F&&(V=j);for(j.next=D,f=d=0,s=0;s<i;s++){for(S=C=T=E=p=g=m=v=0,x=F*(P=n[d]),_=F*(k=n[d+1]),b=F*(O=n[d+2]),y=F*(M=n[d+3]),p+=B*P,g+=B*k,m+=B*O,v+=B*M,j=D,a=0;a<F;a++)j.r=P,j.g=k,j.b=O,j.a=M,j=j.next;for(a=1;a<F;a++)l=d+((A<a?A:a)<<2),p+=(j.r=P=n[l])*(G=F-a),g+=(j.g=k=n[l+1])*G,m+=(j.b=O=n[l+2])*G,v+=(j.a=M=n[l+3])*G,S+=P,C+=k,T+=O,E+=M,j=j.next;for(q=D,Z=V,o=0;o<r;o++)n[d+3]=M=v*ee>>ie,M!==0?(M=255/M,n[d]=(p*ee>>ie)*M,n[d+1]=(g*ee>>ie)*M,n[d+2]=(m*ee>>ie)*M):n[d]=n[d+1]=n[d+2]=0,p-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=f+((l=o+t+1)<A?l:A)<<2,S+=q.r=n[l],C+=q.g=n[l+1],T+=q.b=n[l+2],E+=q.a=n[l+3],p+=S,g+=C,m+=T,v+=E,q=q.next,x+=P=Z.r,_+=k=Z.g,b+=O=Z.b,y+=M=Z.a,S-=P,C-=k,T-=O,E-=M,Z=Z.next,d+=4;f+=r}for(o=0;o<r;o++){for(C=T=E=S=g=m=v=p=0,d=o<<2,x=F*(P=n[d]),_=F*(k=n[d+1]),b=F*(O=n[d+2]),y=F*(M=n[d+3]),p+=B*P,g+=B*k,m+=B*O,v+=B*M,j=D,a=0;a<F;a++)j.r=P,j.g=k,j.b=O,j.a=M,j=j.next;for(u=r,a=1;a<=t;a++)d=u+o<<2,p+=(j.r=P=n[d])*(G=F-a),g+=(j.g=k=n[d+1])*G,m+=(j.b=O=n[d+2])*G,v+=(j.a=M=n[d+3])*G,S+=P,C+=k,T+=O,E+=M,j=j.next,a<N&&(u+=r);for(d=o,q=D,Z=V,s=0;s<i;s++)l=d<<2,n[l+3]=M=v*ee>>ie,M>0?(M=255/M,n[l]=(p*ee>>ie)*M,n[l+1]=(g*ee>>ie)*M,n[l+2]=(m*ee>>ie)*M):n[l]=n[l+1]=n[l+2]=0,p-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=o+((l=s+F)<N?l:N)*r<<2,p+=S+=q.r=n[l],g+=C+=q.g=n[l+1],m+=T+=q.b=n[l+2],v+=E+=q.a=n[l+3],q=q.next,x+=P=Z.r,_+=k=Z.g,b+=O=Z.b,y+=M=Z.a,S-=P,C-=k,T-=O,E-=M,Z=Z.next,d+=r}}const Iwe=function(t){var n=Math.round(this.blurRadius());n>0&&kwe(t,n)};PS.Blur=Iwe;lk.Factory.addGetterSetter(Awe.Node,"blurRadius",0,(0,Pwe.getNumberValidator)(),lk.Factory.afterSetFilter);var RS={};Object.defineProperty(RS,"__esModule",{value:!0});RS.Brighten=void 0;const ck=nt,Mwe=fn,Nwe=ke,Lwe=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};RS.Brighten=Lwe;ck.Factory.addGetterSetter(Mwe.Node,"brightness",0,(0,Nwe.getNumberValidator)(),ck.Factory.afterSetFilter);var OS={};Object.defineProperty(OS,"__esModule",{value:!0});OS.Contrast=void 0;const dk=nt,Dwe=fn,$we=ke,Fwe=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};OS.Contrast=Fwe;dk.Factory.addGetterSetter(Dwe.Node,"contrast",0,(0,$we.getNumberValidator)(),dk.Factory.afterSetFilter);var kS={};Object.defineProperty(kS,"__esModule",{value:!0});kS.Emboss=void 0;const ql=nt,IS=fn,Bwe=Sn,Cz=ke,Uwe=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,d=l*4,f=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:Bwe.Util.error("Unknown emboss direction: "+r)}do{var p=(f-1)*d,g=o;f+g<1&&(g=0),f+g>u&&(g=0);var m=(f-1+g)*l*4,v=l;do{var x=p+(v-1)*4,_=s;v+_<1&&(_=0),v+_>l&&(_=0);var b=m+(v-1+_)*4,y=a[x]-a[b],S=a[x+1]-a[b+1],C=a[x+2]-a[b+2],T=y,E=T>0?T:-T,P=S>0?S:-S,k=C>0?C:-C;if(P>E&&(T=S),k>E&&(T=C),T*=t,i){var O=a[x]+T,M=a[x+1]+T,G=a[x+2]+T;a[x]=O>255?255:O<0?0:O,a[x+1]=M>255?255:M<0?0:M,a[x+2]=G>255?255:G<0?0:G}else{var U=n-T;U<0?U=0:U>255&&(U=255),a[x]=a[x+1]=a[x+2]=U}}while(--v)}while(--f)};kS.Emboss=Uwe;ql.Factory.addGetterSetter(IS.Node,"embossStrength",.5,(0,Cz.getNumberValidator)(),ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossWhiteLevel",.5,(0,Cz.getNumberValidator)(),ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossDirection","top-left",null,ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossBlend",!1,null,ql.Factory.afterSetFilter);var MS={};Object.defineProperty(MS,"__esModule",{value:!0});MS.Enhance=void 0;const fk=nt,zwe=fn,Vwe=ke;function Gx(e,t,n,r,i){var o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const jwe=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],d=u,f,p,g=this.enhance();if(g!==0){for(p=0;p<n;p+=4)o=t[p+0],o<r?r=o:o>i&&(i=o),l=t[p+1],l<s?s=l:l>a&&(a=l),f=t[p+2],f<u?u=f:f>d&&(d=f);i===r&&(i=255,r=0),a===s&&(a=255,s=0),d===u&&(d=255,u=0);var m,v,x,_,b,y,S,C,T;for(g>0?(v=i+g*(255-i),x=r-g*(r-0),b=a+g*(255-a),y=s-g*(s-0),C=d+g*(255-d),T=u-g*(u-0)):(m=(i+r)*.5,v=i+g*(i-m),x=r+g*(r-m),_=(a+s)*.5,b=a+g*(a-_),y=s+g*(s-_),S=(d+u)*.5,C=d+g*(d-S),T=u+g*(u-S)),p=0;p<n;p+=4)t[p+0]=Gx(t[p+0],r,i,x,v),t[p+1]=Gx(t[p+1],s,a,y,b),t[p+2]=Gx(t[p+2],u,d,T,C)}};MS.Enhance=jwe;fk.Factory.addGetterSetter(zwe.Node,"enhance",0,(0,Vwe.getNumberValidator)(),fk.Factory.afterSetFilter);var NS={};Object.defineProperty(NS,"__esModule",{value:!0});NS.Grayscale=void 0;const Gwe=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};NS.Grayscale=Gwe;var LS={};Object.defineProperty(LS,"__esModule",{value:!0});LS.HSL=void 0;const Of=nt,PE=fn,RE=ke;Of.Factory.addGetterSetter(PE.Node,"hue",0,(0,RE.getNumberValidator)(),Of.Factory.afterSetFilter);Of.Factory.addGetterSetter(PE.Node,"saturation",0,(0,RE.getNumberValidator)(),Of.Factory.afterSetFilter);Of.Factory.addGetterSetter(PE.Node,"luminance",0,(0,RE.getNumberValidator)(),Of.Factory.afterSetFilter);const Hwe=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s=this.luminance()*127,a,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),d=.299*r+.701*l+.167*u,f=.587*r-.587*l+.33*u,p=.114*r-.114*l-.497*u,g=.299*r-.299*l-.328*u,m=.587*r+.413*l+.035*u,v=.114*r-.114*l+.293*u,x=.299*r-.3*l+1.25*u,_=.587*r-.586*l-1.05*u,b=.114*r+.886*l-.2*u,y,S,C,T;for(a=0;a<n;a+=4)y=t[a+0],S=t[a+1],C=t[a+2],T=t[a+3],t[a+0]=d*y+f*S+p*C+s,t[a+1]=g*y+m*S+v*C+s,t[a+2]=x*y+_*S+b*C+s,t[a+3]=T};LS.HSL=Hwe;var DS={};Object.defineProperty(DS,"__esModule",{value:!0});DS.HSV=void 0;const kf=nt,OE=fn,kE=ke,Wwe=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,d=.587*r-.587*a+.33*l,f=.114*r-.114*a-.497*l,p=.299*r-.299*a-.328*l,g=.587*r+.413*a+.035*l,m=.114*r-.114*a+.293*l,v=.299*r-.3*a+1.25*l,x=.587*r-.586*a-1.05*l,_=.114*r+.886*a-.2*l,b,y,S,C;for(s=0;s<n;s+=4)b=t[s+0],y=t[s+1],S=t[s+2],C=t[s+3],t[s+0]=u*b+d*y+f*S,t[s+1]=p*b+g*y+m*S,t[s+2]=v*b+x*y+_*S,t[s+3]=C};DS.HSV=Wwe;kf.Factory.addGetterSetter(OE.Node,"hue",0,(0,kE.getNumberValidator)(),kf.Factory.afterSetFilter);kf.Factory.addGetterSetter(OE.Node,"saturation",0,(0,kE.getNumberValidator)(),kf.Factory.afterSetFilter);kf.Factory.addGetterSetter(OE.Node,"value",0,(0,kE.getNumberValidator)(),kf.Factory.afterSetFilter);var $S={};Object.defineProperty($S,"__esModule",{value:!0});$S.Invert=void 0;const qwe=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};$S.Invert=qwe;var FS={};Object.defineProperty(FS,"__esModule",{value:!0});FS.Kaleidoscope=void 0;const t_=nt,Tz=fn,hk=Sn,Ez=ke;var Kwe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,d,f,p=0,g=0,m=0,v=0,x,_=Math.sqrt(a*a+l*l);d=o-a,f=s-l,x=Math.sqrt(d*d+f*f),_=x>_?x:_;var b=s,y=o,S,C,T=360/y*Math.PI/180,E,P;for(C=0;C<y;C+=1)for(E=Math.sin(C*T),P=Math.cos(C*T),S=0;S<b;S+=1)d=Math.floor(a+_*S/b*P),f=Math.floor(l+_*S/b*E),u=(f*o+d)*4,p=r[u+0],g=r[u+1],m=r[u+2],v=r[u+3],u=(C+S*o)*4,i[u+0]=p,i[u+1]=g,i[u+2]=m,i[u+3]=v},Xwe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,d,f,p,g,m=0,v=0,x=0,_=0,b,y=Math.sqrt(a*a+l*l);d=o-a,f=s-l,b=Math.sqrt(d*d+f*f),y=b>y?b:y;var S=s,C=o,T,E,P=n.polarRotation||0,k,O;for(d=0;d<o;d+=1)for(f=0;f<s;f+=1)p=d-a,g=f-l,T=Math.sqrt(p*p+g*g)*S/y,E=(Math.atan2(g,p)*180/Math.PI+360+P)%360,E=E*C/360,k=Math.floor(E),O=Math.floor(T),u=(O*o+k)*4,m=r[u+0],v=r[u+1],x=r[u+2],_=r[u+3],u=(f*o+d)*4,i[u+0]=m,i[u+1]=v,i[u+2]=x,i[u+3]=_};const Ywe=function(e){var t=e.width,n=e.height,r,i,o,s,a,l,u,d,f,p,g=Math.round(this.kaleidoscopePower()),m=Math.round(this.kaleidoscopeAngle()),v=Math.floor(t*(m%360)/360);if(!(g<1)){var x=hk.Util.createCanvasElement();x.width=t,x.height=n;var _=x.getContext("2d").getImageData(0,0,t,n);hk.Util.releaseCanvas(x),Kwe(e,_,{polarCenterX:t/2,polarCenterY:n/2});for(var b=t/Math.pow(2,g);b<=8;)b=b*2,g-=1;b=Math.ceil(b);var y=b,S=0,C=y,T=1;for(v+b>t&&(S=y,C=0,T=-1),i=0;i<n;i+=1)for(r=S;r!==C;r+=T)o=Math.round(r+v)%t,f=(t*i+o)*4,a=_.data[f+0],l=_.data[f+1],u=_.data[f+2],d=_.data[f+3],p=(t*i+r)*4,_.data[p+0]=a,_.data[p+1]=l,_.data[p+2]=u,_.data[p+3]=d;for(i=0;i<n;i+=1)for(y=Math.floor(b),s=0;s<g;s+=1){for(r=0;r<y+1;r+=1)f=(t*i+r)*4,a=_.data[f+0],l=_.data[f+1],u=_.data[f+2],d=_.data[f+3],p=(t*i+y*2-r-1)*4,_.data[p+0]=a,_.data[p+1]=l,_.data[p+2]=u,_.data[p+3]=d;y*=2}Xwe(_,e,{polarRotation:0})}};FS.Kaleidoscope=Ywe;t_.Factory.addGetterSetter(Tz.Node,"kaleidoscopePower",2,(0,Ez.getNumberValidator)(),t_.Factory.afterSetFilter);t_.Factory.addGetterSetter(Tz.Node,"kaleidoscopeAngle",0,(0,Ez.getNumberValidator)(),t_.Factory.afterSetFilter);var BS={};Object.defineProperty(BS,"__esModule",{value:!0});BS.Mask=void 0;const pk=nt,Qwe=fn,Zwe=ke;function F0(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function ep(e,t){return Math.sqrt(Math.pow(e[0]-t[0],2)+Math.pow(e[1]-t[1],2)+Math.pow(e[2]-t[2],2))}function Jwe(e){for(var t=[0,0,0],n=0;n<e.length;n++)t[0]+=e[n][0],t[1]+=e[n][1],t[2]+=e[n][2];return t[0]/=e.length,t[1]/=e.length,t[2]/=e.length,t}function exe(e,t){var n=F0(e,0,0),r=F0(e,e.width-1,0),i=F0(e,0,e.height-1),o=F0(e,e.width-1,e.height-1),s=t||10;if(ep(n,r)<s&&ep(r,o)<s&&ep(o,i)<s&&ep(i,n)<s){for(var a=Jwe([r,n,o,i]),l=[],u=0;u<e.width*e.height;u++){var d=ep(a,[e.data[u*4],e.data[u*4+1],e.data[u*4+2]]);l[u]=d<s?0:255}return l}}function txe(e,t){for(var n=0;n<e.width*e.height;n++)e.data[4*n+3]=t[n]}function nxe(e,t,n){for(var r=[1,1,1,1,0,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d===255*8?255:0}return s}function rxe(e,t,n){for(var r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d>=255*4?255:0}return s}function ixe(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d}return s}const oxe=function(e){var t=this.threshold(),n=exe(e,t);return n&&(n=nxe(n,e.width,e.height),n=rxe(n,e.width,e.height),n=ixe(n,e.width,e.height),txe(e,n)),e};BS.Mask=oxe;pk.Factory.addGetterSetter(Qwe.Node,"threshold",0,(0,Zwe.getNumberValidator)(),pk.Factory.afterSetFilter);var US={};Object.defineProperty(US,"__esModule",{value:!0});US.Noise=void 0;const gk=nt,sxe=fn,axe=ke,lxe=function(e){var t=this.noise()*255,n=e.data,r=n.length,i=t/2,o;for(o=0;o<r;o+=4)n[o+0]+=i-2*i*Math.random(),n[o+1]+=i-2*i*Math.random(),n[o+2]+=i-2*i*Math.random()};US.Noise=lxe;gk.Factory.addGetterSetter(sxe.Node,"noise",.2,(0,axe.getNumberValidator)(),gk.Factory.afterSetFilter);var zS={};Object.defineProperty(zS,"__esModule",{value:!0});zS.Pixelate=void 0;const mk=nt,uxe=Sn,cxe=fn,dxe=ke,fxe=function(e){var t=Math.ceil(this.pixelSize()),n=e.width,r=e.height,i,o,s,a,l,u,d,f=Math.ceil(n/t),p=Math.ceil(r/t),g,m,v,x,_,b,y,S=e.data;if(t<=0){uxe.Util.error("pixelSize value can not be <= 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t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s,a;for(s=0;s<n;s+=4)a=(.34*t[s]+.5*t[s+1]+.16*t[s+2])/255,t[s]=a*r,t[s+1]=a*i,t[s+2]=a*o,t[s+3]=t[s+3]};jS.RGB=yxe;n_.Factory.addGetterSetter(IE.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});n_.Factory.addGetterSetter(IE.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});n_.Factory.addGetterSetter(IE.Node,"blue",0,mxe.RGBComponent,n_.Factory.afterSetFilter);var GS={};Object.defineProperty(GS,"__esModule",{value:!0});GS.RGBA=void 0;const Dg=nt,HS=fn,vxe=ke,_xe=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a<n;a+=4)l=1-s,t[a]=r*s+t[a]*l,t[a+1]=i*s+t[a+1]*l,t[a+2]=o*s+t[a+2]*l};GS.RGBA=_xe;Dg.Factory.addGetterSetter(HS.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Dg.Factory.addGetterSetter(HS.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Dg.Factory.addGetterSetter(HS.Node,"blue",0,vxe.RGBComponent,Dg.Factory.afterSetFilter);Dg.Factory.addGetterSetter(HS.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var WS={};Object.defineProperty(WS,"__esModule",{value:!0});WS.Sepia=void 0;const bxe=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r<n;r+=4)i=t[r+0],o=t[r+1],s=t[r+2],t[r+0]=Math.min(255,i*.393+o*.769+s*.189),t[r+1]=Math.min(255,i*.349+o*.686+s*.168),t[r+2]=Math.min(255,i*.272+o*.534+s*.131)};WS.Sepia=bxe;var qS={};Object.defineProperty(qS,"__esModule",{value:!0});qS.Solarize=void 0;const Sxe=function(e){var t=e.data,n=e.width,r=e.height,i=n*4,o=r;do{var s=(o-1)*i,a=n;do{var l=s+(a-1)*4,u=t[l],d=t[l+1],f=t[l+2];u>127&&(u=255-u),d>127&&(d=255-d),f>127&&(f=255-f),t[l]=u,t[l+1]=d,t[l+2]=f}while(--a)}while(--o)};qS.Solarize=Sxe;var KS={};Object.defineProperty(KS,"__esModule",{value:!0});KS.Threshold=void 0;const vk=nt,wxe=fn,xxe=ke,Cxe=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=1)n[i]=n[i]<t?0:255};KS.Threshold=Cxe;vk.Factory.addGetterSetter(wxe.Node,"threshold",.5,(0,xxe.getNumberValidator)(),vk.Factory.afterSetFilter);Object.defineProperty(rS,"__esModule",{value:!0});rS.Konva=void 0;const _k=WU,Txe=uS,Exe=fS,Axe=gS,Pxe=mS,Rxe=yS,bk=Rf,Oxe=Rm,kxe=Hf,Ixe=km,Mxe=bS,Nxe=SS,Lxe=wS,Dxe=xS,$xe=uc,Fxe=CS,Bxe=TS,Uxe=ES,zxe=PS,Vxe=RS,jxe=OS,Gxe=kS,Hxe=MS,Wxe=NS,qxe=LS,Kxe=DS,Xxe=$S,Yxe=FS,Qxe=BS,Zxe=US,Jxe=zS,eCe=VS,tCe=jS,nCe=GS,rCe=WS,iCe=qS,oCe=KS;rS.Konva=_k.Konva.Util._assign(_k.Konva,{Arc:Txe.Arc,Arrow:Exe.Arrow,Circle:Axe.Circle,Ellipse:Pxe.Ellipse,Image:Rxe.Image,Label:bk.Label,Tag:bk.Tag,Line:Oxe.Line,Path:kxe.Path,Rect:Ixe.Rect,RegularPolygon:Mxe.RegularPolygon,Ring:Nxe.Ring,Sprite:Lxe.Sprite,Star:Dxe.Star,Text:$xe.Text,TextPath:Fxe.TextPath,Transformer:Bxe.Transformer,Wedge:Uxe.Wedge,Filters:{Blur:zxe.Blur,Brighten:Vxe.Brighten,Contrast:jxe.Contrast,Emboss:Gxe.Emboss,Enhance:Hxe.Enhance,Grayscale:Wxe.Grayscale,HSL:qxe.HSL,HSV:Kxe.HSV,Invert:Xxe.Invert,Kaleidoscope:Yxe.Kaleidoscope,Mask:Qxe.Mask,Noise:Zxe.Noise,Pixelate:Jxe.Pixelate,Posterize:eCe.Posterize,RGB:tCe.RGB,RGBA:nCe.RGBA,Sepia:rCe.Sepia,Solarize:iCe.Solarize,Threshold:oCe.Threshold}});var sCe=vE.exports;Object.defineProperty(sCe,"__esModule",{value:!0});const aCe=rS;vE.exports=aCe.Konva;var lCe=vE.exports;const tp=dc(lCe),uCe=async(e,t,n)=>{const{width:r,height:i}=t,o=document.createElement("div"),s=new tp.Stage({container:o,width:r,height:i}),a=new tp.Layer,l=new tp.Layer;return a.add(new tp.Rect({...t,fill:n?"black":"white"})),e.forEach(u=>l.add(new tp.Line({points:u.points,stroke:n?"white":"black",strokeWidth:u.strokeWidth*2,tension:0,lineCap:"round",lineJoin:"round",shadowForStrokeEnabled:!1,globalCompositeOperation:u.tool==="brush"?"source-over":"destination-out"}))),s.add(a),s.add(l),o.remove(),s},cCe=async(e,t,n)=>new Promise((r,i)=>{const o=document.createElement("canvas");o.width=t,o.height=n;const s=o.getContext("2d"),a=new Image;if(!s){o.remove(),i("Unable to get context");return}a.onload=function(){s.drawImage(a,0,0),o.remove(),r(s.getImageData(0,0,t,n))},a.src=e}),Sk=async(e,t)=>{const n=e.toDataURL(t);return await cCe(n,t.width,t.height)},dCe=async(e,t,n,r,i)=>{const o=Ie("canvas"),s=nS(),a=x_e();if(!s||!a){o.error("Unable to find canvas / stage");return}const l={...t,...n},u=s.clone();u.scale({x:1,y:1});const d=u.getAbsolutePosition(),f={x:l.x+d.x,y:l.y+d.y,width:l.width,height:l.height},p=await Q1(u,f),g=await Sk(u,f),m=await uCe(r?e.objects.filter(o$):[],l,i),v=await Q1(m,l),x=await Sk(m,l);return{baseBlob:p,baseImageData:g,maskBlob:v,maskImageData:x}},fCe=e=>{let t=!0,n=!1;const r=e.length;let i=3;for(i;i<r;i+=4)if(e[i]===255?t=!1:n=!0,!t&&n)return{isFullyTransparent:t,isPartiallyTransparent:n};return{isFullyTransparent:t,isPartiallyTransparent:n}},hCe=e=>{const t=e.length;let n=0;for(n;n<t;)if(e[n++]===0&&e[n++]===0&&e[n++]===0&&e[n++]===255)return!0;return!1},pCe=(e,t)=>{const{isPartiallyTransparent:n,isFullyTransparent:r}=fCe(e.data),i=hCe(t.data);return 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this.opts.extraHeaders)this.opts.extraHeaders.hasOwnProperty(i)&&r.setRequestHeader(i,this.opts.extraHeaders[i])}}catch{}if(this.method==="POST")try{r.setRequestHeader("Content-type","text/plain;charset=UTF-8")}catch{}try{r.setRequestHeader("Accept","*/*")}catch{}(t=this.opts.cookieJar)===null||t===void 0||t.addCookies(r),"withCredentials"in r&&(r.withCredentials=this.opts.withCredentials),this.opts.requestTimeout&&(r.timeout=this.opts.requestTimeout),r.onreadystatechange=()=>{var i;r.readyState===3&&((i=this.opts.cookieJar)===null||i===void 0||i.parseCookies(r)),r.readyState===4&&(r.status===200||r.status===1223?this.onLoad():this.setTimeoutFn(()=>{this.onError(typeof r.status=="number"?r.status:0)},0))},r.send(this.data)}catch(i){this.setTimeoutFn(()=>{this.onError(i)},0);return}typeof document<"u"&&(this.index=wv.requestsCount++,wv.requests[this.index]=this)}onError(t){this.emitReserved("error",t,this.xhr),this.cleanup(!0)}cleanup(t){if(!(typeof this.xhr>"u"||this.xhr===null)){if(this.xhr.onreadystatechange=s3e,t)try{this.xhr.abort()}catch{}typeof document<"u"&&delete wv.requests[this.index],this.xhr=null}}onLoad(){const t=this.xhr.responseText;t!==null&&(this.emitReserved("data",t),this.emitReserved("success"),this.cleanup())}abort(){this.cleanup()}};af.requestsCount=0;af.requests={};if(typeof document<"u"){if(typeof attachEvent=="function")attachEvent("onunload",Rk);else if(typeof addEventListener=="function"){const e="onpagehide"in yo?"pagehide":"unload";addEventListener(e,Rk,!1)}}function Rk(){for(let e in af.requests)af.requests.hasOwnProperty(e)&&af.requests[e].abort()}const DE=(()=>typeof Promise=="function"&&typeof Promise.resolve=="function"?t=>Promise.resolve().then(t):(t,n)=>n(t,0))(),z0=yo.WebSocket||yo.MozWebSocket,Ok=!0,u3e="arraybuffer",kk=typeof navigator<"u"&&typeof navigator.product=="string"&&navigator.product.toLowerCase()==="reactnative";class c3e extends LE{constructor(t){super(t),this.supportsBinary=!t.forceBase64}get name(){return"websocket"}doOpen(){if(!this.check())return;const t=this.uri(),n=this.opts.protocols,r=kk?{}:$z(this.opts,"agent","perMessageDeflate","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","localAddress","protocolVersion","origin","maxPayload","family","checkServerIdentity");this.opts.extraHeaders&&(r.headers=this.opts.extraHeaders);try{this.ws=Ok&&!kk?n?new z0(t,n):new z0(t):new z0(t,n,r)}catch(i){return this.emitReserved("error",i)}this.ws.binaryType=this.socket.binaryType||u3e,this.addEventListeners()}addEventListeners(){this.ws.onopen=()=>{this.opts.autoUnref&&this.ws._socket.unref(),this.onOpen()},this.ws.onclose=t=>this.onClose({description:"websocket connection closed",context:t}),this.ws.onmessage=t=>this.onData(t.data),this.ws.onerror=t=>this.onError("websocket error",t)}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;ME(r,this.supportsBinary,o=>{const s={};try{Ok&&this.ws.send(o)}catch{}i&&DE(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){typeof this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){const t=this.opts.secure?"wss":"ws",n=this.query||{};return this.opts.timestampRequests&&(n[this.opts.timestampParam]=Bz()),this.supportsBinary||(n.b64=1),this.createUri(t,n)}check(){return!!z0}}function d3e(e,t){return e.type==="message"&&typeof e.data!="string"&&t[0]>=48&&t[0]<=54}class f3e extends LE{get name(){return"webtransport"}doOpen(){typeof WebTransport=="function"&&(this.transport=new WebTransport(this.createUri("https"),this.opts.transportOptions[this.name]),this.transport.closed.then(()=>{this.onClose()}).catch(t=>{this.onError("webtransport error",t)}),this.transport.ready.then(()=>{this.transport.createBidirectionalStream().then(t=>{const n=t.readable.getReader();this.writer=t.writable.getWriter();let r;const i=()=>{n.read().then(({done:s,value:a})=>{s||(!r&&a.byteLength===1&&a[0]===54?r=!0:(this.onPacket(KCe(a,r,"arraybuffer")),r=!1),i())}).catch(s=>{})};i();const o=this.query.sid?`0{"sid":"${this.query.sid}"}`:"0";this.writer.write(new TextEncoder().encode(o)).then(()=>this.onOpen())})}))}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;VCe(r,o=>{d3e(r,o)&&this.writer.write(Uint8Array.of(54)),this.writer.write(o).then(()=>{i&&DE(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})})}}doClose(){var t;(t=this.transport)===null||t===void 0||t.close()}}const h3e={websocket:c3e,webtransport:f3e,polling:l3e},p3e=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,g3e=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function p5(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=p3e.exec(e||""),o={},s=14;for(;s--;)o[g3e[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=m3e(o,o.path),o.queryKey=y3e(o,o.query),o}function m3e(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function y3e(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let Vz=class Sd extends Hn{constructor(t,n={}){super(),this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=p5(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=p5(n.host).host),YS(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=n3e(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=Dz,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new h3e[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Sd.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;Sd.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",f=>{if(!r)if(f.type==="pong"&&f.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;Sd.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(d(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const p=new Error("probe error");p.transport=n.name,this.emitReserved("upgradeError",p)}}))};function o(){r||(r=!0,d(),n.close(),n=null)}const s=f=>{const p=new Error("probe error: "+f);p.transport=n.name,o(),this.emitReserved("upgradeError",p)};function a(){s("transport closed")}function l(){s("socket closed")}function u(f){n&&f.name!==n.name&&o()}const d=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",Sd.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=JCe(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){Sd.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};Vz.protocol=Dz;function v3e(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=p5(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const _3e=typeof ArrayBuffer=="function",b3e=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,jz=Object.prototype.toString,S3e=typeof Blob=="function"||typeof Blob<"u"&&jz.call(Blob)==="[object BlobConstructor]",w3e=typeof File=="function"||typeof File<"u"&&jz.call(File)==="[object FileConstructor]";function $E(e){return _3e&&(e instanceof ArrayBuffer||b3e(e))||S3e&&e instanceof Blob||w3e&&e instanceof File}function xv(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(xv(e[n]))return!0;return!1}if($E(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return xv(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&xv(e[n]))return!0;return!1}function x3e(e){const t=[],n=e.data,r=e;return r.data=g5(n,t),r.attachments=t.length,{packet:r,buffers:t}}function g5(e,t){if(!e)return e;if($E(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=g5(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=g5(e[r],t));return n}return e}function C3e(e,t){return e.data=m5(e.data,t),delete e.attachments,e}function m5(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=m5(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=m5(e[n],t));return e}const T3e=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],E3e=5;var pt;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(pt||(pt={}));class A3e{constructor(t){this.replacer=t}encode(t){return(t.type===pt.EVENT||t.type===pt.ACK)&&xv(t)?this.encodeAsBinary({type:t.type===pt.EVENT?pt.BINARY_EVENT:pt.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===pt.BINARY_EVENT||t.type===pt.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=x3e(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function Ik(e){return Object.prototype.toString.call(e)==="[object Object]"}class FE extends Hn{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===pt.BINARY_EVENT;r||n.type===pt.BINARY_ACK?(n.type=r?pt.EVENT:pt.ACK,this.reconstructor=new P3e(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if($E(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(pt[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===pt.BINARY_EVENT||r.type===pt.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(FE.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case pt.CONNECT:return Ik(n);case pt.DISCONNECT:return n===void 0;case pt.CONNECT_ERROR:return typeof n=="string"||Ik(n);case pt.EVENT:case pt.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&T3e.indexOf(n[0])===-1);case pt.ACK:case pt.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class P3e{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=C3e(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const R3e=Object.freeze(Object.defineProperty({__proto__:null,Decoder:FE,Encoder:A3e,get PacketType(){return pt},protocol:E3e},Symbol.toStringTag,{value:"Module"}));function zo(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const O3e=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class Gz extends Hn{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[zo(t,"open",this.onopen.bind(this)),zo(t,"packet",this.onpacket.bind(this)),zo(t,"error",this.onerror.bind(this)),zo(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(O3e.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:pt.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:pt.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case pt.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case pt.EVENT:case pt.BINARY_EVENT:this.onevent(t);break;case pt.ACK:case pt.BINARY_ACK:this.onack(t);break;case pt.DISCONNECT:this.ondisconnect();break;case pt.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:pt.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:pt.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const n=this._anyOutgoingListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const n=this._anyOutgoingListeners.slice();for(const r of n)r.apply(this,t.data)}}}function Kf(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}Kf.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),n=Math.floor(t*this.jitter*e);e=Math.floor(t*10)&1?e+n:e-n}return Math.min(e,this.max)|0};Kf.prototype.reset=function(){this.attempts=0};Kf.prototype.setMin=function(e){this.ms=e};Kf.prototype.setMax=function(e){this.max=e};Kf.prototype.setJitter=function(e){this.jitter=e};class y5 extends Hn{constructor(t,n){var r;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(n=t,t=void 0),n=n||{},n.path=n.path||"/socket.io",this.opts=n,YS(this,n),this.reconnection(n.reconnection!==!1),this.reconnectionAttempts(n.reconnectionAttempts||1/0),this.reconnectionDelay(n.reconnectionDelay||1e3),this.reconnectionDelayMax(n.reconnectionDelayMax||5e3),this.randomizationFactor((r=n.randomizationFactor)!==null&&r!==void 0?r:.5),this.backoff=new Kf({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(n.timeout==null?2e4:n.timeout),this._readyState="closed",this.uri=t;const i=n.parser||R3e;this.encoder=new i.Encoder,this.decoder=new i.Decoder,this._autoConnect=n.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var n;return t===void 0?this._reconnectionDelay:(this._reconnectionDelay=t,(n=this.backoff)===null||n===void 0||n.setMin(t),this)}randomizationFactor(t){var n;return t===void 0?this._randomizationFactor:(this._randomizationFactor=t,(n=this.backoff)===null||n===void 0||n.setJitter(t),this)}reconnectionDelayMax(t){var n;return t===void 0?this._reconnectionDelayMax:(this._reconnectionDelayMax=t,(n=this.backoff)===null||n===void 0||n.setMax(t),this)}timeout(t){return arguments.length?(this._timeout=t,this):this._timeout}maybeReconnectOnOpen(){!this._reconnecting&&this._reconnection&&this.backoff.attempts===0&&this.reconnect()}open(t){if(~this._readyState.indexOf("open"))return this;this.engine=new Vz(this.uri,this.opts);const n=this.engine,r=this;this._readyState="opening",this.skipReconnect=!1;const i=zo(n,"open",function(){r.onopen(),t&&t()}),o=a=>{this.cleanup(),this._readyState="closed",this.emitReserved("error",a),t?t(a):this.maybeReconnectOnOpen()},s=zo(n,"error",o);if(this._timeout!==!1){const a=this._timeout,l=this.setTimeoutFn(()=>{i(),o(new Error("timeout")),n.close()},a);this.opts.autoUnref&&l.unref(),this.subs.push(()=>{this.clearTimeoutFn(l)})}return this.subs.push(i),this.subs.push(s),this}connect(t){return this.open(t)}onopen(){this.cleanup(),this._readyState="open",this.emitReserved("open");const t=this.engine;this.subs.push(zo(t,"ping",this.onping.bind(this)),zo(t,"data",this.ondata.bind(this)),zo(t,"error",this.onerror.bind(this)),zo(t,"close",this.onclose.bind(this)),zo(this.decoder,"decoded",this.ondecoded.bind(this)))}onping(){this.emitReserved("ping")}ondata(t){try{this.decoder.add(t)}catch(n){this.onclose("parse error",n)}}ondecoded(t){DE(()=>{this.emitReserved("packet",t)},this.setTimeoutFn)}onerror(t){this.emitReserved("error",t)}socket(t,n){let r=this.nsps[t];return r?this._autoConnect&&!r.active&&r.connect():(r=new Gz(this,t,n),this.nsps[t]=r),r}_destroy(t){const n=Object.keys(this.nsps);for(const r of n)if(this.nsps[r].active)return;this._close()}_packet(t){const n=this.encoder.encode(t);for(let r=0;r<n.length;r++)this.engine.write(n[r],t.options)}cleanup(){this.subs.forEach(t=>t()),this.subs.length=0,this.decoder.destroy()}_close(){this.skipReconnect=!0,this._reconnecting=!1,this.onclose("forced close"),this.engine&&this.engine.close()}disconnect(){return this._close()}onclose(t,n){this.cleanup(),this.backoff.reset(),this._readyState="closed",this.emitReserved("close",t,n),this._reconnection&&!this.skipReconnect&&this.reconnect()}reconnect(){if(this._reconnecting||this.skipReconnect)return this;const t=this;if(this.backoff.attempts>=this._reconnectionAttempts)this.backoff.reset(),this.emitReserved("reconnect_failed"),this._reconnecting=!1;else{const n=this.backoff.duration();this._reconnecting=!0;const r=this.setTimeoutFn(()=>{t.skipReconnect||(this.emitReserved("reconnect_attempt",t.backoff.attempts),!t.skipReconnect&&t.open(i=>{i?(t._reconnecting=!1,t.reconnect(),this.emitReserved("reconnect_error",i)):t.onreconnect()}))},n);this.opts.autoUnref&&r.unref(),this.subs.push(()=>{this.clearTimeoutFn(r)})}}onreconnect(){const t=this.backoff.attempts;this._reconnecting=!1,this.backoff.reset(),this.emitReserved("reconnect",t)}}const np={};function Cv(e,t){typeof e=="object"&&(t=e,e=void 0),t=t||{};const n=v3e(e,t.path||"/socket.io"),r=n.source,i=n.id,o=n.path,s=np[i]&&o in np[i].nsps,a=t.forceNew||t["force new connection"]||t.multiplex===!1||s;let l;return a?l=new y5(r,t):(np[i]||(np[i]=new y5(r,t)),l=np[i]),n.query&&!t.query&&(t.query=n.queryKey),l.socket(n.path,t)}Object.assign(Cv,{Manager:y5,Socket:Gz,io:Cv,connect:Cv});const Mk=()=>{let e=!1,n=`${window.location.protocol==="https:"?"wss":"ws"}://${window.location.host}`;const 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r=this.isDragging;if(this.cancel(),!r)return;const{velocity:i}=n;this.startAnimation(i);const{onDragEnd:o}=this.getProps();o&&dn.update(()=>o(t,n))}cancel(){this.isDragging=!1;const{projection:t,animationState:n}=this.visualElement;t&&(t.isAnimationBlocked=!1),this.panSession&&this.panSession.end(),this.panSession=void 0;const{dragPropagation:r}=this.getProps();!r&&this.openGlobalLock&&(this.openGlobalLock(),this.openGlobalLock=null),n&&n.setActive("whileDrag",!1)}updateAxis(t,n,r){const{drag:i}=this.getProps();if(!r||!q0(t,i,this.currentDirection))return;const o=this.getAxisMotionValue(t);let s=this.originPoint[t]+r[t];this.constraints&&this.constraints[t]&&(s=Y6e(s,this.constraints[t],this.elastic[t])),o.set(s)}resolveConstraints(){const{dragConstraints:t,dragElastic:n}=this.getProps(),{layout:r}=this.visualElement.projection||{},i=this.constraints;t&&$d(t)?this.constraints||(this.constraints=this.resolveRefConstraints()):t&&r?this.constraints=Q6e(r.layoutBox,t):this.constraints=!1,this.elastic=tAe(n),i!==this.constraints&&r&&this.constraints&&!this.hasMutatedConstraints&&ps(o=>{this.getAxisMotionValue(o)&&(this.constraints[o]=eAe(r.layoutBox[o],this.constraints[o]))})}resolveRefConstraints(){const{dragConstraints:t,onMeasureDragConstraints:n}=this.getProps();if(!t||!$d(t))return!1;const r=t.current,{projection:i}=this.visualElement;if(!i||!i.layout)return!1;const o=aAe(r,i.root,this.visualElement.getTransformPagePoint());let s=Z6e(i.layout.layoutBox,o);if(n){const a=n(nAe(s));this.hasMutatedConstraints=!!a,a&&(s=xj(a))}return 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0)||0)}snapToCursor(t){ps(n=>{const{drag:r}=this.getProps();if(!q0(n,r,this.currentDirection))return;const{projection:i}=this.visualElement,o=this.getAxisMotionValue(n);if(i&&i.layout){const{min:s,max:a}=i.layout.layoutBox[n];o.set(t[n]-vn(s,a,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!$d(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};ps(s=>{const a=this.getAxisMotionValue(s);if(a){const l=a.get();i[s]=J6e({min:l,max:l},this.constraints[s])}});const{transformTemplate:o}=this.visualElement.getProps();this.visualElement.current.style.transform=o?o({},""):"none",r.root&&r.root.updateScroll(),r.updateLayout(),this.resolveConstraints(),ps(s=>{if(!q0(s,t,null))return;const a=this.getAxisMotionValue(s),{min:l,max:u}=this.constraints[s];a.set(vn(l,u,i[s]))})}addListeners(){if(!this.visualElement.current)return;lAe.set(this.visualElement,this);const t=this.visualElement.current,n=wa(t,"pointerdown",l=>{const{drag:u,dragListener:d=!0}=this.getProps();u&&d&&this.start(l)}),r=()=>{const{dragConstraints:l}=this.getProps();$d(l)&&(this.constraints=this.resolveRefConstraints())},{projection:i}=this.visualElement,o=i.addEventListener("measure",r);i&&!i.layout&&(i.root&&i.root.updateScroll(),i.updateLayout()),r();const s=ya(window,"resize",()=>this.scalePositionWithinConstraints()),a=i.addEventListener("didUpdate",({delta:l,hasLayoutChanged:u})=>{this.isDragging&&u&&(ps(d=>{const f=this.getAxisMotionValue(d);f&&(this.originPoint[d]+=l[d].translate,f.set(f.get()+l[d].translate))}),this.visualElement.render())});return()=>{s(),n(),o(),a&&a()}}getProps(){const t=this.visualElement.getProps(),{drag:n=!1,dragDirectionLock:r=!1,dragPropagation:i=!1,dragConstraints:o=!1,dragElastic:s=L5,dragMomentum:a=!0}=t;return{...t,drag:n,dragDirectionLock:r,dragPropagation:i,dragConstraints:o,dragElastic:s,dragMomentum:a}}}function q0(e,t,n){return(t===!0||t===e)&&(n===null||n===e)}function cAe(e,t=10){let n=null;return Math.abs(e.y)>t?n="y":Math.abs(e.x)>t&&(n="x"),n}class dAe extends uu{constructor(t){super(t),this.removeGroupControls=Gn,this.removeListeners=Gn,this.controls=new uAe(t)}mount(){const{dragControls:t}=this.node.getProps();t&&(this.removeGroupControls=t.subscribe(this.controls)),this.removeListeners=this.controls.addListeners()||Gn}unmount(){this.removeGroupControls(),this.removeListeners()}}const II=e=>(t,n)=>{e&&dn.update(()=>e(t,n))};class fAe extends uu{constructor(){super(...arguments),this.removePointerDownListener=Gn}onPointerDown(t){this.session=new Sj(t,this.createPanHandlers(),{transformPagePoint:this.node.getTransformPagePoint()})}createPanHandlers(){const{onPanSessionStart:t,onPanStart:n,onPan:r,onPanEnd:i}=this.node.getProps();return{onSessionStart:II(t),onStart:II(n),onMove:r,onEnd:(o,s)=>{delete 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TAe{constructor(){this.members=[]}add(t){c6(this.members,t),t.scheduleRender()}remove(t){if(d6(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function jI(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) `),(t.x!==1||t.y!==1)&&(r+=`scale(${1/t.x}, ${1/t.y}) `),n){const{rotate:l,rotateX:u,rotateY:d}=n;l&&(r+=`rotate(${l}deg) `),u&&(r+=`rotateX(${u}deg) `),d&&(r+=`rotateY(${d}deg) `)}const s=e.x.scale*t.x,a=e.y.scale*t.y;return(s!==1||a!==1)&&(r+=`scale(${s}, ${a})`),r||"none"}const EAe=(e,t)=>e.depth-t.depth;class AAe{constructor(){this.children=[],this.isDirty=!1}add(t){c6(this.children,t),this.isDirty=!0}remove(t){d6(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(EAe),this.isDirty=!1,this.children.forEach(t)}}function PAe(e,t){const n=performance.now(),r=({timestamp:i})=>{const o=i-n;o>=t&&(Ia(r),e(o-t))};return dn.read(r,!0),()=>Ia(r)}function RAe(e){window.MotionDebug&&window.MotionDebug.record(e)}function OAe(e){return e instanceof SVGElement&&e.tagName!=="svg"}function kAe(e,t,n){const r=ki(e)?e:Mf(e);return r.start(u6("",r,t,n)),r.animation}const GI=["","X","Y","Z"],HI=1e3;let IAe=0;const Ou={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function kj({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(s={},a=t==null?void 0:t()){this.id=IAe++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Ou.totalNodes=Ou.resolvedTargetDeltas=Ou.recalculatedProjection=0,this.nodes.forEach(LAe),this.nodes.forEach(UAe),this.nodes.forEach(zAe),this.nodes.forEach(DAe),RAe(Ou)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new AAe)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new f6),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=OAe(s),this.instance=s;const{layoutId:l,layout:u,visualElement:d}=this.options;if(d&&!d.current&&d.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let f;const p=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,f&&f(),f=PAe(p,250),kv.hasAnimatedSinceResize&&(kv.hasAnimatedSinceResize=!1,this.nodes.forEach(qI))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&d&&(l||u)&&this.addEventListener("didUpdate",({delta:f,hasLayoutChanged:p,hasRelativeTargetChanged:g,layout:m})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const v=this.options.transition||d.getDefaultTransition()||WAe,{onLayoutAnimationStart:x,onLayoutAnimationComplete:_}=d.getProps(),b=!this.targetLayout||!F5(this.targetLayout,m)||g,y=!p&&g;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||y||p&&(b||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(f,y);const S={...yj(v,"layout"),onPlay:x,onComplete:_};(d.shouldReduceMotion||this.options.layoutRoot)&&(S.delay=0,S.type=!1),this.startAnimation(S)}else p||qI(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=m})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,Ia(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(VAe),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let d=0;d<this.path.length;d++){const f=this.path[d];f.shouldResetTransform=!0,f.updateScroll("snapshot"),f.options.layoutRoot&&f.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(WI);return}this.isUpdating||this.nodes.forEach(FAe),this.isUpdating=!1,this.nodes.forEach(BAe),this.nodes.forEach(MAe),this.nodes.forEach(NAe),this.clearAllSnapshots();const a=performance.now();zr.delta=Kl(0,1e3/60,a-zr.timestamp),zr.timestamp=a,zr.isProcessing=!0,Yx.update.process(zr),Yx.preRender.process(zr),Yx.render.process(zr),zr.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach($Ae),this.sharedNodes.forEach(jAe)}scheduleUpdateProjection(){dn.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){dn.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=Bn(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!Oj(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,d=u!==this.prevTransformTemplateValue;s&&(a||Ru(this.latestValues)||d)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),qAe(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return Bn();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(fl(a.x,l.offset.x),fl(a.y,l.offset.y)),a}removeElementScroll(s){const a=Bn();fo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:d,options:f}=u;if(u!==this.root&&d&&f.layoutScroll){if(d.isRoot){fo(a,s);const{scroll:p}=this.root;p&&(fl(a.x,-p.offset.x),fl(a.y,-p.offset.y))}fl(a.x,d.offset.x),fl(a.y,d.offset.y)}}return a}applyTransform(s,a=!1){const l=Bn();fo(l,s);for(let u=0;u<this.path.length;u++){const d=this.path[u];!a&&d.options.layoutScroll&&d.scroll&&d!==d.root&&Ud(l,{x:-d.scroll.offset.x,y:-d.scroll.offset.y}),Ru(d.latestValues)&&Ud(l,d.latestValues)}return Ru(this.latestValues)&&Ud(l,this.latestValues),l}removeTransform(s){const a=Bn();fo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!Ru(u.latestValues))continue;D5(u.latestValues)&&u.updateSnapshot();const d=Bn(),f=u.measurePageBox();fo(d,f),UI(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,d)}return Ru(this.latestValues)&&UI(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==zr.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:f,layoutId:p}=this.options;if(!(!this.layout||!(f||p))){if(this.resolvedRelativeTargetAt=zr.timestamp,!this.targetDelta&&!this.relativeTarget){const g=this.getClosestProjectingParent();g&&g.layout&&this.animationProgress!==1?(this.relativeParent=g,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Bn(),this.relativeTargetOrigin=Bn(),Mp(this.relativeTargetOrigin,this.layout.layoutBox,g.layout.layoutBox),fo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=Bn(),this.targetWithTransforms=Bn()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),X6e(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):fo(this.target,this.layout.layoutBox),Tj(this.target,this.targetDelta)):fo(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const g=this.getClosestProjectingParent();g&&!!g.resumingFrom==!!this.resumingFrom&&!g.options.layoutScroll&&g.target&&this.animationProgress!==1?(this.relativeParent=g,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Bn(),this.relativeTargetOrigin=Bn(),Mp(this.relativeTargetOrigin,this.target,g.target),fo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Ou.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||D5(this.parent.latestValues)||Cj(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===zr.timestamp&&(u=!1),u)return;const{layout:d,layoutId:f}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(d||f))return;fo(this.layoutCorrected,this.layout.layoutBox);const p=this.treeScale.x,g=this.treeScale.y;iAe(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:m}=a;if(!m){this.projectionTransform&&(this.projectionDelta=Bd(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=Bd(),this.projectionDeltaWithTransform=Bd());const v=this.projectionTransform;Ip(this.projectionDelta,this.layoutCorrected,m,this.latestValues),this.projectionTransform=jI(this.projectionDelta,this.treeScale),(this.projectionTransform!==v||this.treeScale.x!==p||this.treeScale.y!==g)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",m)),Ou.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},d={...this.latestValues},f=Bd();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const p=Bn(),g=l?l.source:void 0,m=this.layout?this.layout.source:void 0,v=g!==m,x=this.getStack(),_=!x||x.members.length<=1,b=!!(v&&!_&&this.options.crossfade===!0&&!this.path.some(HAe));this.animationProgress=0;let y;this.mixTargetDelta=S=>{const C=S/1e3;KI(f.x,s.x,C),KI(f.y,s.y,C),this.setTargetDelta(f),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Mp(p,this.layout.layoutBox,this.relativeParent.layout.layoutBox),GAe(this.relativeTarget,this.relativeTargetOrigin,p,C),y&&F5(this.relativeTarget,y)&&(this.isProjectionDirty=!1),y||(y=Bn()),fo(y,this.relativeTarget)),v&&(this.animationValues=d,_Ae(d,u,this.latestValues,C,b,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=C},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(Ia(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=dn.update(()=>{kv.hasAnimatedSinceResize=!0,this.currentAnimation=kAe(0,HI,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(HI),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:d}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&Ij(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Bn();const f=Xi(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+f;const p=Xi(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+p}fo(a,l),Ud(a,d),Ip(this.projectionDeltaWithTransform,this.layoutCorrected,a,d)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new TAe),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let d=0;d<GI.length;d++){const f="rotate"+GI[d];l[f]&&(u[f]=l[f],s.setStaticValue(f,0))}s.render();for(const d in u)s.setStaticValue(d,u[d]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const d=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=Ov(s.pointerEvents)||"",u.transform=d?d(this.latestValues,""):"none",u;const f=this.getLead();if(!this.projectionDelta||!this.layout||!f.target){const v={};return this.options.layoutId&&(v.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,v.pointerEvents=Ov(s.pointerEvents)||""),this.hasProjected&&!Ru(this.latestValues)&&(v.transform=d?d({},""):"none",this.hasProjected=!1),v}const p=f.animationValues||f.latestValues;this.applyTransformsToTarget(),u.transform=jI(this.projectionDeltaWithTransform,this.treeScale,p),d&&(u.transform=d(p,u.transform));const{x:g,y:m}=this.projectionDelta;u.transformOrigin=`${g.origin*100}% ${m.origin*100}% 0`,f.animationValues?u.opacity=f===this?(l=(a=p.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:p.opacityExit:u.opacity=f===this?p.opacity!==void 0?p.opacity:"":p.opacityExit!==void 0?p.opacityExit:0;for(const v in l_){if(p[v]===void 0)continue;const{correct:x,applyTo:_}=l_[v],b=u.transform==="none"?p[v]:x(p[v],f);if(_){const y=_.length;for(let S=0;S<y;S++)u[_[S]]=b}else u[v]=b}return this.options.layoutId&&(u.pointerEvents=f===this?Ov(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(WI),this.root.sharedNodes.clear()}}}function MAe(e){e.updateLayout()}function NAe(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?ps(f=>{const p=s?n.measuredBox[f]:n.layoutBox[f],g=Xi(p);p.min=r[f].min,p.max=p.min+g}):Ij(o,n.layoutBox,r)&&ps(f=>{const p=s?n.measuredBox[f]:n.layoutBox[f],g=Xi(r[f]);p.max=p.min+g,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[f].max=e.relativeTarget[f].min+g)});const a=Bd();Ip(a,r,n.layoutBox);const l=Bd();s?Ip(l,e.applyTransform(i,!0),n.measuredBox):Ip(l,r,n.layoutBox);const u=!Oj(a);let d=!1;if(!e.resumeFrom){const f=e.getClosestProjectingParent();if(f&&!f.resumeFrom){const{snapshot:p,layout:g}=f;if(p&&g){const m=Bn();Mp(m,n.layoutBox,p.layoutBox);const v=Bn();Mp(v,r,g.layoutBox),F5(m,v)||(d=!0),f.options.layoutRoot&&(e.relativeTarget=v,e.relativeTargetOrigin=m,e.relativeParent=f)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:d})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function 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lC.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>window.getComputedStyle(e).position==="fixed"}),XAe={pan:{Feature:fAe},drag:{Feature:dAe,ProjectionNode:Mj,MeasureLayout:Aj}},YAe=/var\((--[a-zA-Z0-9-_]+),? ?([a-zA-Z0-9 ()%#.,-]+)?\)/;function QAe(e){const t=YAe.exec(e);if(!t)return[,];const[,n,r]=t;return[n,r]}function B5(e,t,n=1){const[r,i]=QAe(e);if(!r)return;const o=window.getComputedStyle(t).getPropertyValue(r);return o?o.trim():A5(i)?B5(i,t,n+1):i}function ZAe(e,{...t},n){const r=e.current;if(!(r instanceof Element))return{target:t,transitionEnd:n};n&&(n={...n}),e.values.forEach(i=>{const o=i.get();if(!A5(o))return;const s=B5(o,r);s&&i.set(s)});for(const i in t){const o=t[i];if(!A5(o))continue;const s=B5(o,r);s&&(t[i]=s,n||(n={}),n[i]===void 0&&(n[i]=o))}return{target:t,transitionEnd:n}}const JAe=new Set(["width","height","top","left","right","bottom","x","y","translateX","translateY"]),Nj=e=>JAe.has(e),ePe=e=>Object.keys(e).some(Nj),QI=e=>e===Oc||e===Be,ZI=(e,t)=>parseFloat(e.split(", ")[t]),JI=(e,t)=>(n,{transform:r})=>{if(r==="none"||!r)return 0;const i=r.match(/^matrix3d\((.+)\)$/);if(i)return ZI(i[1],t);{const o=r.match(/^matrix\((.+)\)$/);return o?ZI(o[1],e):0}},tPe=new Set(["x","y","z"]),nPe=Dm.filter(e=>!tPe.has(e));function rPe(e){const t=[];return nPe.forEach(n=>{const r=e.getValue(n);r!==void 0&&(t.push([n,r.get()]),r.set(n.startsWith("scale")?1:0))}),t.length&&e.render(),t}const Nf={width:({x:e},{paddingLeft:t="0",paddingRight:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),height:({y:e},{paddingTop:t="0",paddingBottom:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),top:(e,{top:t})=>parseFloat(t),left:(e,{left:t})=>parseFloat(t),bottom:({y:e},{top:t})=>parseFloat(t)+(e.max-e.min),right:({x:e},{left:t})=>parseFloat(t)+(e.max-e.min),x:JI(4,13),y:JI(5,14)};Nf.translateX=Nf.x;Nf.translateY=Nf.y;const iPe=(e,t,n)=>{const r=t.measureViewportBox(),i=t.current,o=getComputedStyle(i),{display:s}=o,a={};s==="none"&&t.setStaticValue("display",e.display||"block"),n.forEach(u=>{a[u]=Nf[u](r,o)}),t.render();const l=t.measureViewportBox();return n.forEach(u=>{const d=t.getValue(u);d&&d.jump(a[u]),e[u]=Nf[u](l,o)}),e},oPe=(e,t,n={},r={})=>{t={...t},r={...r};const i=Object.keys(t).filter(Nj);let o=[],s=!1;const a=[];if(i.forEach(l=>{const u=e.getValue(l);if(!e.hasValue(l))return;let d=n[l],f=ip(d);const p=t[l];let g;if(c_(p)){const 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e=window.matchMedia("(prefers-reduced-motion)"),t=()=>U5.current=e.matches;e.addListener(t),t()}else U5.current=!1}function uPe(e,t,n){const{willChange:r}=t;for(const i in t){const o=t[i],s=n[i];if(ki(o))e.addValue(i,o),p_(r)&&r.add(i);else if(ki(s))e.addValue(i,Mf(o,{owner:e})),p_(r)&&r.remove(i);else if(s!==o)if(e.hasValue(i)){const a=e.getValue(i);!a.hasAnimated&&a.set(o)}else{const a=e.getStaticValue(i);e.addValue(i,Mf(a!==void 0?a:o,{owner:e}))}}for(const i in n)t[i]===void 0&&e.removeValue(i);return t}const e7=new WeakMap,Dj=Object.keys(Vg),cPe=Dj.length,t7=["AnimationStart","AnimationComplete","Update","BeforeLayoutMeasure","LayoutMeasure","LayoutAnimationStart","LayoutAnimationComplete"],dPe=KE.length;class fPe{constructor({parent:t,props:n,presenceContext:r,reducedMotionConfig:i,visualState:o},s={}){this.current=null,this.children=new Set,this.isVariantNode=!1,this.isControllingVariants=!1,this.shouldReduceMotion=null,this.values=new Map,this.features={},this.valueSubscriptions=new Map,this.prevMotionValues={},this.events={},this.propEventSubscriptions={},this.notifyUpdate=()=>this.notify("Update",this.latestValues),this.render=()=>{this.current&&(this.triggerBuild(),this.renderInstance(this.current,this.renderState,this.props.style,this.projection))},this.scheduleRender=()=>dn.render(this.render,!1,!0);const{latestValues:a,renderState:l}=o;this.latestValues=a,this.baseTarget={...a},this.initialValues=n.initial?{...a}:{},this.renderState=l,this.parent=t,this.props=n,this.presenceContext=r,this.depth=t?t.depth+1:0,this.reducedMotionConfig=i,this.options=s,this.isControllingVariants=o2(n),this.isVariantNode=SV(n),this.isVariantNode&&(this.variantChildren=new Set),this.manuallyAnimateOnMount=!!(t&&t.current);const{willChange:u,...d}=this.scrapeMotionValuesFromProps(n,{});for(const f in d){const p=d[f];a[f]!==void 0&&ki(p)&&(p.set(a[f],!1),p_(u)&&u.add(f))}}scrapeMotionValuesFromProps(t,n){return{}}mount(t){this.current=t,e7.set(t,this),this.projection&&!this.projection.instance&&this.projection.mount(t),this.parent&&this.isVariantNode&&!this.isControllingVariants&&(this.removeFromVariantTree=this.parent.addVariantChild(this)),this.values.forEach((n,r)=>this.bindToMotionValue(r,n)),Lj.current||lPe(),this.shouldReduceMotion=this.reducedMotionConfig==="never"?!1:this.reducedMotionConfig==="always"?!0:U5.current,this.parent&&this.parent.children.add(this),this.update(this.props,this.presenceContext)}unmount(){e7.delete(this.current),this.projection&&this.projection.unmount(),Ia(this.notifyUpdate),Ia(this.render),this.valueSubscriptions.forEach(t=>t()),this.removeFromVariantTree&&this.removeFromVariantTree(),this.parent&&this.parent.children.delete(this);for(const t in this.events)this.events[t].clear();for(const t in this.features)this.features[t].unmount();this.current=null}bindToMotionValue(t,n){const r=Rc.has(t),i=n.on("change",s=>{this.latestValues[t]=s,this.props.onUpdate&&dn.update(this.notifyUpdate,!1,!0),r&&this.projection&&(this.projection.isTransformDirty=!0)}),o=n.on("renderRequest",this.scheduleRender);this.valueSubscriptions.set(t,()=>{i(),o()})}sortNodePosition(t){return!this.current||!this.sortInstanceNodePosition||this.type!==t.type?0:this.sortInstanceNodePosition(this.current,t.current)}loadFeatures({children:t,...n},r,i,o){let s,a;for(let l=0;l<cPe;l++){const u=Dj[l],{isEnabled:d,Feature:f,ProjectionNode:p,MeasureLayout:g}=Vg[u];p&&(s=p),d(n)&&(!this.features[u]&&f&&(this.features[u]=new f(this)),g&&(a=g))}if(!this.projection&&s){this.projection=new s(this.latestValues,this.parent&&this.parent.projection);const{layoutId:l,layout:u,drag:d,dragConstraints:f,layoutScroll:p,layoutRoot:g}=n;this.projection.setOptions({layoutId:l,layout:u,alwaysMeasureLayout:!!d||f&&$d(f),visualElement:this,scheduleRender:()=>this.scheduleRender(),animationType:typeof u=="string"?u:"both",initialPromotionConfig:o,layoutScroll:p,layoutRoot:g})}return a}updateFeatures(){for(const t in this.features){const n=this.features[t];n.isMounted?n.update():(n.mount(),n.isMounted=!0)}}triggerBuild(){this.build(this.renderState,this.latestValues,this.options,this.props)}measureViewportBox(){return this.current?this.measureInstanceViewportBox(this.current,this.props):Bn()}getStaticValue(t){return this.latestValues[t]}setStaticValue(t,n){this.latestValues[t]=n}makeTargetAnimatable(t,n=!0){return this.makeTargetAnimatableFromInstance(t,this.props,n)}update(t,n){(t.transformTemplate||this.props.transformTemplate)&&this.scheduleRender(),this.prevProps=this.props,this.props=t,this.prevPresenceContext=this.presenceContext,this.presenceContext=n;for(let r=0;r<t7.length;r++){const i=t7[r];this.propEventSubscriptions[i]&&(this.propEventSubscriptions[i](),delete this.propEventSubscriptions[i]);const o=t["on"+i];o&&(this.propEventSubscriptions[i]=this.on(i,o))}this.prevMotionValues=uPe(this,this.scrapeMotionValuesFromProps(t,this.prevProps),this.prevMotionValues),this.handleChildMotionValue&&this.handleChildMotionValue()}getProps(){return this.props}getVariant(t){return this.props.variants?this.props.variants[t]:void 0}getDefaultTransition(){return this.props.transition}getTransformPagePoint(){return this.props.transformPagePoint}getClosestVariantNode(){return this.isVariantNode?this:this.parent?this.parent.getClosestVariantNode():void 0}getVariantContext(t=!1){if(t)return this.parent?this.parent.getVariantContext():void 0;if(!this.isControllingVariants){const r=this.parent?this.parent.getVariantContext()||{}:{};return this.props.initial!==void 0&&(r.initial=this.props.initial),r}const n={};for(let r=0;r<dPe;r++){const i=KE[r],o=this.props[i];(zg(o)||o===!1)&&(n[i]=o)}return n}addVariantChild(t){const n=this.getClosestVariantNode();if(n)return n.variantChildren&&n.variantChildren.add(t),()=>n.variantChildren.delete(t)}addValue(t,n){n!==this.values.get(t)&&(this.removeValue(t),this.bindToMotionValue(t,n)),this.values.set(t,n),this.latestValues[t]=n.get()}removeValue(t){this.values.delete(t);const n=this.valueSubscriptions.get(t);n&&(n(),this.valueSubscriptions.delete(t)),delete this.latestValues[t],this.removeValueFromRenderState(t,this.renderState)}hasValue(t){return this.values.has(t)}getValue(t,n){if(this.props.values&&this.props.values[t])return this.props.values[t];let r=this.values.get(t);return r===void 0&&n!==void 0&&(r=Mf(n,{owner:this}),this.addValue(t,r)),r}readValue(t){var n;return this.latestValues[t]!==void 0||!this.current?this.latestValues[t]:(n=this.getBaseTargetFromProps(this.props,t))!==null&&n!==void 0?n:this.readValueFromInstance(this.current,t,this.options)}setBaseTarget(t,n){this.baseTarget[t]=n}getBaseTarget(t){var n;const{initial:r}=this.props,i=typeof r=="string"||typeof r=="object"?(n=r6(this.props,r))===null||n===void 0?void 0:n[t]:void 0;if(r&&i!==void 0)return i;const o=this.getBaseTargetFromProps(this.props,t);return o!==void 0&&!ki(o)?o:this.initialValues[t]!==void 0&&i===void 0?void 0:this.baseTarget[t]}on(t,n){return this.events[t]||(this.events[t]=new f6),this.events[t].add(n)}notify(t,...n){this.events[t]&&this.events[t].notify(...n)}}class $j extends fPe{sortInstanceNodePosition(t,n){return t.compareDocumentPosition(n)&2?1:-1}getBaseTargetFromProps(t,n){return t.style?t.style[n]:void 0}removeValueFromRenderState(t,{vars:n,style:r}){delete n[t],delete r[t]}makeTargetAnimatableFromInstance({transition:t,transitionEnd:n,...r},{transformValues:i},o){let s=k6e(r,t||{},this);if(i&&(n&&(n=i(n)),r&&(r=i(r)),s&&(s=i(s))),o){R6e(this,r,s);const a=aPe(this,r,s,n);n=a.transitionEnd,r=a.target}return{transition:t,transitionEnd:n,...r}}}function hPe(e){return window.getComputedStyle(e)}class pPe extends $j{readValueFromInstance(t,n){if(Rc.has(n)){const r=l6(n);return r&&r.default||0}else{const r=hPe(t),i=(TV(n)?r.getPropertyValue(n):r[n])||0;return typeof i=="string"?i.trim():i}}measureInstanceViewportBox(t,{transformPagePoint:n}){return Ej(t,n)}build(t,n,r,i){QE(t,n,r,i.transformTemplate)}scrapeMotionValuesFromProps(t,n){return n6(t,n)}handleChildMotionValue(){this.childSubscription&&(this.childSubscription(),delete this.childSubscription);const{children:t}=this.props;ki(t)&&(this.childSubscription=t.on("change",n=>{this.current&&(this.current.textContent=`${n}`)}))}renderInstance(t,n,r,i){kV(t,n,r,i)}}class gPe extends $j{constructor(){super(...arguments),this.isSVGTag=!1}getBaseTargetFromProps(t,n){return t[n]}readValueFromInstance(t,n){if(Rc.has(n)){const r=l6(n);return r&&r.default||0}return n=IV.has(n)?n:t6(n),t.getAttribute(n)}measureInstanceViewportBox(){return Bn()}scrapeMotionValuesFromProps(t,n){return NV(t,n)}build(t,n,r,i){JE(t,n,r,this.isSVGTag,i.transformTemplate)}renderInstance(t,n,r,i){MV(t,n,r,i)}mount(t){this.isSVGTag=e6(t.tagName),super.mount(t)}}const mPe=(e,t)=>YE(e)?new gPe(t,{enableHardwareAcceleration:!1}):new pPe(t,{enableHardwareAcceleration:!0}),yPe={layout:{ProjectionNode:Mj,MeasureLayout:Aj}},vPe={...H6e,...fEe,...XAe,...yPe},_Pe=STe((e,t)=>YTe(e,t,vPe,mPe));function Fj(){const e=L.useRef(!1);return a_(()=>(e.current=!0,()=>{e.current=!1}),[]),e}function bPe(){const e=Fj(),[t,n]=L.useState(0),r=L.useCallback(()=>{e.current&&n(t+1)},[t]);return[L.useCallback(()=>dn.postRender(r),[r]),t]}class SPe extends L.Component{getSnapshotBeforeUpdate(t){const n=this.props.childRef.current;if(n&&t.isPresent&&!this.props.isPresent){const r=this.props.sizeRef.current;r.height=n.offsetHeight||0,r.width=n.offsetWidth||0,r.top=n.offsetTop,r.left=n.offsetLeft}return null}componentDidUpdate(){}render(){return this.props.children}}function wPe({children:e,isPresent:t}){const n=L.useId(),r=L.useRef(null),i=L.useRef({width:0,height:0,top:0,left:0});return L.useInsertionEffect(()=>{const{width:o,height:s,top:a,left:l}=i.current;if(t||!r.current||!o||!s)return;r.current.dataset.motionPopId=n;const u=document.createElement("style");return document.head.appendChild(u),u.sheet&&u.sheet.insertRule(`
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[".concat(String(d),"]:"):"","%c ").concat(a.message),v,x,_)}}};Nb.createLogWriter=zve;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.createLogWriter=void 0;var t=Nb;Object.defineProperty(e,"createLogWriter",{enumerable:!0,get:function(){return t.createLogWriter}})})(VB);Cm.ROARR.write=VB.createLogWriter();const pU={};Cm.Roarr.child(pU);const Jb=gm(Cm.Roarr.child(pU)),Ie=e=>Jb.get().child({namespace:e}),$Ie=["trace","debug","info","warn","error","fatal"],FIe={trace:10,debug:20,info:30,warn:40,error:50,fatal:60};function Vve(){const e=[];return function(t,n){if(typeof n!="object"||n===null)return n;for(;e.length>0&&e.at(-1)!==this;)e.pop();return e.includes(n)?"[Circular]":(e.push(n),n)}}const Ig=Ul("nodes/receivedOpenAPISchema",async(e,{dispatch:t,rejectWithValue:n})=>{const r=Ie("system");try{const o=await(await fetch("openapi.json")).json();return r.info({openAPISchema:o},"Received OpenAPI schema"),JSON.parse(JSON.stringify(o,Vve()))}catch(i){return 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n.count!="string",E=X1.hasDefaultValue(n),P=T?this.pluralResolver.getSuffix(u,n.count,n):"",k=n.ordinal&&T?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",O=n[`defaultValue${P}`]||n[`defaultValue${k}`]||n.defaultValue;!this.isValidLookup(p)&&E&&(S=!0,p=O),this.isValidLookup(p)||(C=!0,p=s);const G=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&C?void 0:p,U=E&&O!==p&&this.options.updateMissing;if(C||S||U){if(this.logger.log(U?"updateKey":"missingKey",u,l,s,U?O:p),o){const B=this.resolve(s,{...n,keySeparator:!1});B&&B.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let A=[];const N=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&N&&N[0])for(let B=0;B<N.length;B++)A.push(N[B]);else this.options.saveMissingTo==="all"?A=this.languageUtils.toResolveHierarchy(n.lng||this.language):A.push(n.lng||this.language);const F=(B,D,V)=>{const j=E&&V!==p?V:G;this.options.missingKeyHandler?this.options.missingKeyHandler(B,l,D,j,U,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(B,l,D,j,U,n),this.emit("missingKey",B,l,D,p)};this.options.saveMissing&&(this.options.saveMissingPlurals&&T?A.forEach(B=>{this.pluralResolver.getSuffixes(B,n).forEach(D=>{F([B],s+D,n[`defaultValue${D}`]||O)})}):F(A,s,O))}p=this.extendTranslation(p,t,n,f,r),C&&p===s&&this.options.appendNamespaceToMissingKey&&(p=`${l}:${s}`),(C||S)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?p=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,S?p:void 0):p=this.options.parseMissingKeyHandler(p))}return i?(f.res=p,f):p}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let d;if(u){const p=t.match(this.interpolator.nestingRegexp);d=p&&p.length}let f=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(f={...this.options.interpolation.defaultVariables,...f}),t=this.interpolator.interpolate(t,f,r.lng||this.language,r),u){const p=t.match(this.interpolator.nestingRegexp),g=p&&p.length;d<g&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var p=arguments.length,g=new Array(p),m=0;m<p;m++)g[m]=arguments[m];return o&&o[0]===g[0]&&!r.context?(s.logger.warn(`It seems you are nesting recursively key: ${g[0]} in key: ${n[0]}`),null):s.translate(...g,n)},r)),r.interpolation&&this.interpolator.reset()}const a=r.postProcess||this.options.postProcess,l=typeof a=="string"?[a]:a;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=wU.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),d=u.key;i=d;let f=u.namespaces;this.options.fallbackNS&&(f=f.concat(this.options.fallbackNS));const p=n.count!==void 0&&typeof n.count!="string",g=p&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),m=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",v=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);f.forEach(x=>{this.isValidLookup(r)||(a=x,!vO[`${v[0]}-${x}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(vO[`${v[0]}-${x}`]=!0,this.logger.warn(`key "${i}" for languages "${v.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. 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i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function Rx(e){return e.charAt(0).toUpperCase()+e.slice(1)}class _O{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=Cs.create("languageUtils")}getScriptPartFromCode(t){if(t=K1(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=K1(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Rx(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Rx(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=Rx(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let 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0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return 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r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>bO[i]-bO[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof i=="number"?`_plural_${i.toString()}`:o():this.options.compatibilityJSON==="v2"||this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1?o():this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString()}shouldUseIntlApi(){return!i1e.includes(this.options.compatibilityJSON)}}function SO(e,t,n){let r=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=Qve(e,t,n);return!o&&i&&typeof n=="string"&&(o=q1(e,n,r),o===void 0&&(o=q1(t,n,r))),o}class l1e{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Cs.create("interpolator"),this.options=t,this.format=t.interpolation&&t.interpolation.format||(n=>n),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const n=t.interpolation;this.escape=n.escape!==void 0?n.escape:Jve,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?ld(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?ld(n.suffix):n.suffixEscaped||"}}",this.formatSeparator=n.formatSeparator?n.formatSeparator:n.formatSeparator||",",this.unescapePrefix=n.unescapeSuffix?"":n.unescapePrefix||"-",this.unescapeSuffix=this.unescapePrefix?"":n.unescapeSuffix||"",this.nestingPrefix=n.nestingPrefix?ld(n.nestingPrefix):n.nestingPrefixEscaped||ld("$t("),this.nestingSuffix=n.nestingSuffix?ld(n.nestingSuffix):n.nestingSuffixEscaped||ld(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${this.prefix}(.+?)${this.suffix}`;this.regexp=new RegExp(t,"g");const 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p=`{${f[1]}`;l=f[0],p=this.interpolate(p,s);const g=p.match(/'/g),m=p.match(/"/g);(g&&g.length%2===0&&!m||m.length%2!==0)&&(p=p.replace(/'/g,'"'));try{s=JSON.parse(p),u&&(s={...u,...s})}catch(v){return this.logger.warn(`failed parsing options string in nesting for key ${l}`,v),`${l}${d}${p}`}return delete s.defaultValue,l}for(;i=this.nestingRegexp.exec(t);){let l=[];s={...r},s=s.replace&&typeof s.replace!="string"?s.replace:s,s.applyPostProcessor=!1,delete s.defaultValue;let u=!1;if(i[0].indexOf(this.formatSeparator)!==-1&&!/{.*}/.test(i[1])){const d=i[1].split(this.formatSeparator).map(f=>f.trim());i[1]=d.shift(),l=d,u=!0}if(o=n(a.call(this,i[1].trim(),s),s),o&&i[0]===t&&typeof o!="string")return o;typeof o!="string"&&(o=gO(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((d,f)=>this.format(d,f,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function u1e(e){let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[a.trim()]||(n[a.trim()]=u),u==="false"&&(n[a.trim()]=!1),u==="true"&&(n[a.trim()]=!0),isNaN(u)||(n[a.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function ud(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(K1(i),o),t[s]=a),a(r)}}class c1e{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Cs.create("formatter"),this.options=t,this.formats={number:ud((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:ud((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return 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0&&(l[f]=!0)))}),d||(a[u]=!0)}),(Object.keys(o).length||Object.keys(s).length)&&this.queue.push({pending:s,pendingCount:Object.keys(s).length,loaded:{},errors:[],callback:i}),{toLoad:Object.keys(o),pending:Object.keys(s),toLoadLanguages:Object.keys(a),toLoadNamespaces:Object.keys(l)}}loaded(t,n,r){const i=t.split("|"),o=i[0],s=i[1];n&&this.emit("failedLoading",o,s,n),r&&this.store.addResourceBundle(o,s,r),this.state[t]=n?-1:2;const a={};this.queue.forEach(l=>{Yve(l.loaded,[o],s),d1e(l,t),n&&l.errors.push(n),l.pendingCount===0&&!l.done&&(Object.keys(l.loaded).forEach(u=>{a[u]||(a[u]={});const d=l.loaded[u];d.length&&d.forEach(f=>{a[u][f]===void 0&&(a[u][f]=!0)})}),l.done=!0,l.errors.length?l.callback(l.errors):l.callback())}),this.emit("loaded",a),this.queue=this.queue.filter(l=>!l.done)}read(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:0,o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:this.retryTimeout,s=arguments.length>5?arguments[5]:void 0;if(!t.length)return s(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:t,ns:n,fcName:r,tried:i,wait:o,callback:s});return}this.readingCalls++;const a=(u,d)=>{if(this.readingCalls--,this.waitingReads.length>0){const f=this.waitingReads.shift();this.read(f.lng,f.ns,f.fcName,f.tried,f.wait,f.callback)}if(u&&d&&i<this.maxRetries){setTimeout(()=>{this.read.call(this,t,n,r,i+1,o*2,s)},o);return}s(u,d)},l=this.backend[r].bind(this.backend);if(l.length===2){try{const u=l(t,n);u&&typeof u.then=="function"?u.then(d=>a(null,d)).catch(a):a(null,u)}catch(u){a(u)}return}return l(t,n,a)}prepareLoading(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i=arguments.length>3?arguments[3]:void 0;if(!this.backend)return this.logger.warn("No backend was added via i18next.use. Will not load resources."),i&&i();typeof t=="string"&&(t=this.languageUtils.toResolveHierarchy(t)),typeof n=="string"&&(n=[n]);const o=this.queueLoad(t,n,r,i);if(!o.toLoad.length)return o.pending.length||i(),null;o.toLoad.forEach(s=>{this.loadOne(s)})}load(t,n,r){this.prepareLoading(t,n,{},r)}reload(t,n,r){this.prepareLoading(t,n,{reload:!0},r)}loadOne(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:"";const r=t.split("|"),i=r[0],o=r[1];this.read(i,o,"read",void 0,void 0,(s,a)=>{s&&this.logger.warn(`${n}loading namespace ${o} for language ${i} failed`,s),!s&&a&&this.logger.log(`${n}loaded namespace ${o} for language ${i}`,a),this.loaded(t,s,a)})}saveMissing(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{},a=arguments.length>6&&arguments[6]!==void 0?arguments[6]:()=>{};if(this.services.utils&&this.services.utils.hasLoadedNamespace&&!this.services.utils.hasLoadedNamespace(n)){this.logger.warn(`did not save key "${r}" as the namespace "${n}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...s,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let d;u.length===5?d=u(t,n,r,i,l):d=u(t,n,r,i),d&&typeof d.then=="function"?d.then(f=>a(null,f)).catch(a):a(null,d)}catch(d){a(d)}else u(t,n,r,i,a,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function wO(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function xO(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function R0(){}function h1e(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class Mg extends eS{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=xO(t),this.services={},this.logger=Cs,this.modules={external:[]},h1e(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=wO();this.options={...i,...this.options,...xO(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(d){return d?typeof d=="function"?new d:d:null}if(!this.options.isClone){this.modules.logger?Cs.init(o(this.modules.logger),this.options):Cs.init(null,this.options);let d;this.modules.formatter?d=this.modules.formatter:typeof Intl<"u"&&(d=c1e);const f=new _O(this.options);this.store=new yO(this.options.resources,this.options);const p=this.services;p.logger=Cs,p.resourceStore=this.store,p.languageUtils=f,p.pluralResolver=new a1e(f,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),d&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(p.formatter=o(d),p.formatter.init(p,this.options),this.options.interpolation.format=p.formatter.format.bind(p.formatter)),p.interpolator=new l1e(this.options),p.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},p.backendConnector=new f1e(o(this.modules.backend),p.resourceStore,p,this.options),p.backendConnector.on("*",function(g){for(var m=arguments.length,v=new Array(m>1?m-1:0),x=1;x<m;x++)v[x-1]=arguments[x];t.emit(g,...v)}),this.modules.languageDetector&&(p.languageDetector=o(this.modules.languageDetector),p.languageDetector.init&&p.languageDetector.init(p,this.options.detection,this.options)),this.modules.i18nFormat&&(p.i18nFormat=o(this.modules.i18nFormat),p.i18nFormat.init&&p.i18nFormat.init(this)),this.translator=new X1(this.services,this.options),this.translator.on("*",function(g){for(var m=arguments.length,v=new Array(m>1?m-1:0),x=1;x<m;x++)v[x-1]=arguments[x];t.emit(g,...v)}),this.modules.external.forEach(g=>{g.init&&g.init(this)})}if(this.format=this.options.interpolation.format,r||(r=R0),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const d=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);d.length>0&&d[0]!=="dev"&&(this.options.lng=d[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is defined"),["getResource","hasResourceBundle","getResourceBundle","getDataByLanguage"].forEach(d=>{this[d]=function(){return t.store[d](...arguments)}}),["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(d=>{this[d]=function(){return t.store[d](...arguments),t}});const l=Xh(),u=()=>{const d=(f,p)=>{this.isInitialized&&!this.initializedStoreOnce&&this.logger.warn("init: i18next is already initialized. You should call init just once!"),this.isInitialized=!0,this.options.isClone||this.logger.log("initialized",this.options),this.emit("initialized",this.options),l.resolve(p),r(f,p)};if(this.languages&&this.options.compatibilityAPI!=="v1"&&!this.isInitialized)return d(null,this.t.bind(this));this.changeLanguage(this.options.lng,d)};return this.options.resources||!this.options.initImmediate?u():setTimeout(u,0),l}loadResources(t){let r=arguments.length>1&&arguments[1]!==void 0?arguments[1]:R0;const i=typeof t=="string"?t:this.language;if(typeof t=="function"&&(r=t),!this.options.resources||this.options.partialBundledLanguages){if(i&&i.toLowerCase()==="cimode")return r();const o=[],s=a=>{if(!a)return;this.services.languageUtils.toResolveHierarchy(a).forEach(u=>{o.indexOf(u)<0&&o.push(u)})};i?s(i):this.services.languageUtils.getFallbackCodes(this.options.fallbackLng).forEach(l=>s(l)),this.options.preload&&this.options.preload.forEach(a=>s(a)),this.services.backendConnector.load(o,this.options.ns,a=>{!a&&!this.resolvedLanguage&&this.language&&this.setResolvedLanguage(this.language),r(a)})}else r(null)}reloadResources(t,n,r){const i=Xh();return t||(t=this.languages),n||(n=this.options.ns),r||(r=R0),this.services.backendConnector.reload(t,n,o=>{i.resolve(),r(o)}),i}use(t){if(!t)throw new Error("You are passing an undefined module! Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&wU.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1))for(let n=0;n<this.languages.length;n++){const r=this.languages[n];if(!(["cimode","dev"].indexOf(r)>-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=Xh();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,d=>{s(d,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,d=new Array(u>2?u-2:0),f=2;f<u;f++)d[f-2]=arguments[f];l=i.options.overloadTranslationOptionHandler([s,a].concat(d))}else l={...a};l.lng=l.lng||o.lng,l.lngs=l.lngs||o.lngs,l.ns=l.ns||o.ns,l.keyPrefix=l.keyPrefix||r||o.keyPrefix;const p=i.options.keySeparator||".";let g;return l.keyPrefix&&Array.isArray(s)?g=s.map(m=>`${l.keyPrefix}${p}${m}`):g=l.keyPrefix?`${l.keyPrefix}${p}${s}`:s,i.t(g,l)};return typeof t=="string"?o.lng=t:o.lngs=t,o.ns=n,o.keyPrefix=r,o}t(){return this.translator&&this.translator.translate(...arguments)}exists(){return this.translator&&this.translator.exists(...arguments)}setDefaultNamespace(t){this.options.defaultNS=t}hasLoadedNamespace(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(!this.isInitialized)return this.logger.warn("hasLoadedNamespace: i18next was not initialized",this.languages),!1;if(!this.languages||!this.languages.length)return this.logger.warn("hasLoadedNamespace: i18n.languages were undefined or empty",this.languages),!1;const r=n.lng||this.resolvedLanguage||this.languages[0],i=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(r.toLowerCase()==="cimode")return!0;const s=(a,l)=>{const u=this.services.backendConnector.state[`${a}|${l}`];return u===-1||u===2};if(n.precheck){const a=n.precheck(this,s);if(a!==void 0)return a}return!!(this.hasResourceBundle(r,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||s(r,t)&&(!i||s(o,t)))}loadNamespaces(t,n){const r=Xh();return this.options.ns?(typeof t=="string"&&(t=[t]),t.forEach(i=>{this.options.ns.indexOf(i)<0&&this.options.ns.push(i)}),this.loadResources(i=>{r.resolve(),n&&n(i)}),r):(n&&n(),Promise.resolve())}loadLanguages(t,n){const r=Xh();typeof t=="string"&&(t=[t]);const i=this.options.preload||[],o=t.filter(s=>i.indexOf(s)<0);return o.length?(this.options.preload=i.concat(o),this.loadResources(s=>{r.resolve(),n&&n(s)}),r):(n&&n(),Promise.resolve())}dir(t){if(t||(t=this.resolvedLanguage||(this.languages&&this.languages.length>0?this.languages[0]:this.language)),!t)return"rtl";const n=["ar","shu","sqr","ssh","xaa","yhd","yud","aao","abh","abv","acm","acq","acw","acx","acy","adf","ads","aeb","aec","afb","ajp","apc","apd","arb","arq","ars","ary","arz","auz","avl","ayh","ayl","ayn","ayp","bbz","pga","he","iw","ps","pbt","pbu","pst","prp","prd","ug","ur","ydd","yds","yih","ji","yi","hbo","men","xmn","fa","jpr","peo","pes","prs","dv","sam","ckb"],r=this.services&&this.services.languageUtils||new _O(wO());return n.indexOf(r.getLanguagePartFromCode(t))>-1||t.toLowerCase().indexOf("-arab")>1?"rtl":"ltr"}static createInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;return new Mg(t,n)}cloneInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:R0;const r=t.forkResourceStore;r&&delete t.forkResourceStore;const i={...this.options,...t,isClone:!0},o=new Mg(i);return(t.debug!==void 0||t.prefix!==void 0)&&(o.logger=o.logger.clone(t)),["store","services","language"].forEach(a=>{o[a]=this[a]}),o.services={...this.services},o.services.utils={hasLoadedNamespace:o.hasLoadedNamespace.bind(o)},r&&(o.store=new yO(this.store.data,i),o.services.resourceStore=o.store),o.translator=new X1(o.services,i),o.translator.on("*",function(a){for(var l=arguments.length,u=new Array(l>1?l-1:0),d=1;d<l;d++)u[d-1]=arguments[d];o.emit(a,...u)}),o.init(i,n),o.translator.options=i,o.translator.backendConnector.services.utils={hasLoadedNamespace:o.hasLoadedNamespace.bind(o)},o}toJSON(){return{options:this.options,store:this.store,language:this.language,languages:this.languages,resolvedLanguage:this.resolvedLanguage}}}const Kr=Mg.createInstance();Kr.createInstance=Mg.createInstance;Kr.createInstance;Kr.dir;Kr.init;Kr.loadResources;Kr.reloadResources;Kr.use;Kr.changeLanguage;Kr.getFixedT;const Pp=Kr.t;Kr.exists;Kr.setDefaultNamespace;Kr.hasLoadedNamespace;Kr.loadNamespaces;Kr.loadLanguages;const Ku=e=>typeof 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this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,s){return this._context.createRadialGradient(t,n,r,i,o,s)}drawImage(t,n,r,i,o,s,a,l,u){var d=arguments,f=this._context;d.length===3?f.drawImage(t,n,r):d.length===5?f.drawImage(t,n,r,i,o):d.length===9&&f.drawImage(t,n,r,i,o,s,a,l,u)}ellipse(t,n,r,i,o,s,a,l){this._context.ellipse(t,n,r,i,o,s,a,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return 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n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",s=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,a=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),d=l.x*u,f=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",s*Math.min(Math.abs(d),Math.abs(f))),this.setAttr("shadowOffsetX",a.x*d),this.setAttr("shadowOffsetY",a.y*f)}}ba.SceneContext=NSe;class LSe extends iS{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}ba.HitContext=LSe;Object.defineProperty(Qo,"__esModule",{value:!0});Qo.HitCanvas=Qo.SceneCanvas=Qo.Canvas=void 0;const J1=Sn,KU=ba,XU=rt,DSe=nt,$Se=ke;var M0;function FSe(){if(M0)return M0;var e=J1.Util.createCanvasElement(),t=e.getContext("2d");return M0=function(){var n=XU.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),J1.Util.releaseCanvas(e),M0}class oS{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||XU.Konva.pixelRatio||FSe();this.pixelRatio=r,this._canvas=J1.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return J1.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}Qo.Canvas=oS;DSe.Factory.addGetterSetter(oS,"pixelRatio",void 0,(0,$Se.getNumberValidator)());class BSe extends oS{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new KU.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}Qo.SceneCanvas=BSe;class USe extends oS{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new KU.HitContext(this),this.setSize(t.width,t.height)}}Qo.HitCanvas=USe;var sS={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=rt,n=Sn;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(p=>p.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var d=a.dragDistance(),f=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(f<d||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(d=>d.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(sS);Object.defineProperty(fn,"__esModule",{value:!0});fn.Node=void 0;const ct=Sn,Am=nt,N0=Qo,wu=rt,uo=sS,Ln=ke;var _v="absoluteOpacity",L0="allEventListeners",la="absoluteTransform",jO="absoluteScale",xu="canvas",zSe="Change",VSe="children",jSe="konva",o5="listening",GO="mouseenter",HO="mouseleave",WO="set",qO="Shape",bv=" ",KO="stage",sl="transform",GSe="Stage",s5="visible",HSe=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(bv);let WSe=1;class ze{constructor(t){this._id=WSe++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===sl||t===la)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===sl||t===la,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(bv);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(xu)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===la&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(xu)){const{scene:t,filter:n,hit:r}=this._cache.get(xu);ct.Util.releaseCanvas(t,n,r),this._cache.delete(xu)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,d=n.drawBorder||!1,f=n.hitCanvasPixelRatio||1;if(!i||!o){ct.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var p=new N0.SceneCanvas({pixelRatio:s,width:i,height:o}),g=new N0.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),m=new N0.HitCanvas({pixelRatio:f,width:i,height:o}),v=p.getContext(),x=m.getContext();return m.isCache=!0,p.isCache=!0,this._cache.delete(xu),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(p.getContext()._context.imageSmoothingEnabled=!1,g.getContext()._context.imageSmoothingEnabled=!1),v.save(),x.save(),v.translate(-a,-l),x.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(_v),this._clearSelfAndDescendantCache(jO),this.drawScene(p,this),this.drawHit(m,this),this._isUnderCache=!1,v.restore(),x.restore(),d&&(v.save(),v.beginPath(),v.rect(0,0,i,o),v.closePath(),v.setAttr("strokeStyle","red"),v.setAttr("lineWidth",5),v.stroke(),v.restore()),this._cache.set(xu,{scene:p,filter:g,hit:m,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(xu)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var d=l.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var d=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/d,r.getHeight()/d),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){ct.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(f){ct.Util.error("Unable to apply filter. "+f.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(L0),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(bv),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(bv),i=r.length,o,s,a,l,u,d;if(this._cache&&this._cache.delete(L0),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],d=l[1],u)this.eventListeners[u]&&this._off(u,d,n);else for(s in this.eventListeners)this._off(s,d,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=ct.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),uo.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(la),this._clearSelfAndDescendantCache(_v),this._clearSelfAndDescendantCache(jO),this._clearSelfAndDescendantCache(KO),this._clearSelfAndDescendantCache(s5),this._clearSelfAndDescendantCache(o5)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+ct.Util._capitalize(t);return ct.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==VSe&&(r=WO+ct.Util._capitalize(n),ct.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(o5,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(s5,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;uo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!wu.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==qO&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==GSe&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(sl),this._clearSelfAndDescendantCache(la)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new ct.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(sl);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(sl),this._clearSelfAndDescendantCache(la),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return ct.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return ct.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return ct.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return ct.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return ct.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&ct.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(_v,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=ct.Util.isObject(i)&&!ct.Util._isPlainObject(i)&&!ct.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),ct.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],ct.Util.isValidSelector(o)||(ct.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),ct.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),ct.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(KO,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(la,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new ct.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(la)||new ct.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(sl,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(sl)||new ct.Transform;r.reset();var i=this.x(),o=this.y(),s=wu.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,d=this.attrs.skewY||0,f=this.attrs.offsetX||0,p=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||d!==0)&&r.skew(u,d),(a!==1||l!==1)&&r.scale(a,l),(f!==0||p!==0)&&r.translate(-1*f,-1*p),r.dirty=!1,r}clone(t){var n=ct.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(jSe)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new N0.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,ct.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():wu.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+zSe,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[WO+ct.Util._capitalize(t)];return ct.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(wu.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!ct.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===qO&&(n.target=this);var i=(t===GO||t===HO)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===GO||t===HO)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(L0))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(L0,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;uo.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){uo.DD._dragElements.has(this._id)||this._createDragElement(t);const r=uo.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:ct.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=uo.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),uo.DD._endDragBefore(t),uo.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=uo.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||wu.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;uo.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=uo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&uo.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return ct.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return ct.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=ze.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),wu.Konva[r]||(ct.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=wu.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(ze._createNode(i[a]));return o}}fn.Node=ze;ze.prototype.nodeType="Node";ze.prototype._attrsAffectingSize=[];ze.prototype.eventListeners={};ze.prototype.on.call(ze.prototype,HSe,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(sl),this._clearSelfAndDescendantCache(la)});ze.prototype.on.call(ze.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(s5)});ze.prototype.on.call(ze.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(o5)});ze.prototype.on.call(ze.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(_v)});const Kt=Am.Factory.addGetterSetter;Kt(ze,"zIndex");Kt(ze,"absolutePosition");Kt(ze,"position");Kt(ze,"x",0,(0,Ln.getNumberValidator)());Kt(ze,"y",0,(0,Ln.getNumberValidator)());Kt(ze,"globalCompositeOperation","source-over",(0,Ln.getStringValidator)());Kt(ze,"opacity",1,(0,Ln.getNumberValidator)());Kt(ze,"name","",(0,Ln.getStringValidator)());Kt(ze,"id","",(0,Ln.getStringValidator)());Kt(ze,"rotation",0,(0,Ln.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"scale",["x","y"]);Kt(ze,"scaleX",1,(0,Ln.getNumberValidator)());Kt(ze,"scaleY",1,(0,Ln.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"skew",["x","y"]);Kt(ze,"skewX",0,(0,Ln.getNumberValidator)());Kt(ze,"skewY",0,(0,Ln.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"offset",["x","y"]);Kt(ze,"offsetX",0,(0,Ln.getNumberValidator)());Kt(ze,"offsetY",0,(0,Ln.getNumberValidator)());Kt(ze,"dragDistance",null,(0,Ln.getNumberValidator)());Kt(ze,"width",0,(0,Ln.getNumberValidator)());Kt(ze,"height",0,(0,Ln.getNumberValidator)());Kt(ze,"listening",!0,(0,Ln.getBooleanValidator)());Kt(ze,"preventDefault",!0,(0,Ln.getBooleanValidator)());Kt(ze,"filters",null,function(e){return this._filterUpToDate=!1,e});Kt(ze,"visible",!0,(0,Ln.getBooleanValidator)());Kt(ze,"transformsEnabled","all",(0,Ln.getStringValidator)());Kt(ze,"size");Kt(ze,"dragBoundFunc");Kt(ze,"draggable",!1,(0,Ln.getBooleanValidator)());Am.Factory.backCompat(ze,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var vc={};Object.defineProperty(vc,"__esModule",{value:!0});vc.Container=void 0;const zf=nt,Lx=fn,aS=ke;class _c extends Lx.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=Lx.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=Lx.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const d=r===this;if(u){o.save();var f=this.getAbsoluteTransform(r),p=f.getMatrix();o.transform(p[0],p[1],p[2],p[3],p[4],p[5]),o.beginPath();let x;if(l)x=l.call(this,o,this);else{var g=this.clipX(),m=this.clipY();o.rect(g,m,s,a)}o.clip.apply(o,x),p=f.copy().invert().getMatrix(),o.transform(p[0],p[1],p[2],p[3],p[4],p[5])}var v=!d&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";v&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(x){x[t](n,r)}),v&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},d=this;(n=this.children)===null||n===void 0||n.forEach(function(v){if(v.visible()){var x=v.getClientRect({relativeTo:d,skipShadow:t.skipShadow,skipStroke:t.skipStroke});x.width===0&&x.height===0||(o===void 0?(o=x.x,s=x.y,a=x.x+x.width,l=x.y+x.height):(o=Math.min(o,x.x),s=Math.min(s,x.y),a=Math.max(a,x.x+x.width),l=Math.max(l,x.y+x.height)))}});for(var f=this.find("Shape"),p=!1,g=0;g<f.length;g++){var m=f[g];if(m._isVisible(this)){p=!0;break}}return p&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}vc.Container=_c;zf.Factory.addComponentsGetterSetter(_c,"clip",["x","y","width","height"]);zf.Factory.addGetterSetter(_c,"clipX",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipY",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipWidth",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipHeight",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipFunc");var YU={},Vi={};Object.defineProperty(Vi,"__esModule",{value:!0});Vi.releaseCapture=Vi.setPointerCapture=Vi.hasPointerCapture=Vi.createEvent=Vi.getCapturedShape=void 0;const qSe=rt,Lg=new Map,QU=qSe.Konva._global.PointerEvent!==void 0;function KSe(e){return Lg.get(e)}Vi.getCapturedShape=KSe;function _E(e){return{evt:e,pointerId:e.pointerId}}Vi.createEvent=_E;function XSe(e,t){return Lg.get(e)===t}Vi.hasPointerCapture=XSe;function YSe(e,t){ZU(e),t.getStage()&&(Lg.set(e,t),QU&&t._fire("gotpointercapture",_E(new PointerEvent("gotpointercapture"))))}Vi.setPointerCapture=YSe;function ZU(e,t){const n=Lg.get(e);if(!n)return;const r=n.getStage();r&&r.content,Lg.delete(e),QU&&n._fire("lostpointercapture",_E(new PointerEvent("lostpointercapture")))}Vi.releaseCapture=ZU;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=Sn,n=nt,r=vc,i=rt,o=Qo,s=sS,a=rt,l=Vi;var u="Stage",d="string",f="px",p="mouseout",g="mouseleave",m="mouseover",v="mouseenter",x="mousemove",_="mousedown",b="mouseup",y="pointermove",S="pointerdown",C="pointerup",T="pointercancel",E="lostpointercapture",P="pointerout",k="pointerleave",O="pointerover",M="pointerenter",G="contextmenu",U="touchstart",A="touchend",N="touchmove",F="touchcancel",B="wheel",D=5,V=[[v,"_pointerenter"],[_,"_pointerdown"],[x,"_pointermove"],[b,"_pointerup"],[g,"_pointerleave"],[U,"_pointerdown"],[N,"_pointermove"],[A,"_pointerup"],[F,"_pointercancel"],[m,"_pointerover"],[B,"_wheel"],[G,"_contextmenu"],[S,"_pointerdown"],[y,"_pointermove"],[C,"_pointerup"],[T,"_pointercancel"],[E,"_lostpointercapture"]];const j={mouse:{[P]:p,[k]:g,[O]:m,[M]:v,[y]:x,[S]:_,[C]:b,[T]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[P]:"touchout",[k]:"touchleave",[O]:"touchover",[M]:"touchenter",[y]:N,[S]:U,[C]:A,[T]:F,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[P]:P,[k]:k,[O]:O,[M]:M,[y]:y,[S]:S,[C]:C,[T]:T,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},q=le=>le.indexOf("pointer")>=0?"pointer":le.indexOf("touch")>=0?"touch":"mouse",Z=le=>{const W=q(le);if(W==="pointer")return i.Konva.pointerEventsEnabled&&j.pointer;if(W==="touch")return j.touch;if(W==="mouse")return j.mouse};function ee(le={}){return(le.clipFunc||le.clipWidth||le.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),le}const ie="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class se extends r.Container{constructor(W){super(ee(W)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{ee(this.attrs)}),this._checkVisibility()}_validateAdd(W){const ne=W.getType()==="Layer",fe=W.getType()==="FastLayer";ne||fe||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const W=this.visible()?"":"none";this.content.style.display=W}setContainer(W){if(typeof W===d){if(W.charAt(0)==="."){var ne=W.slice(1);W=document.getElementsByClassName(ne)[0]}else{var fe;W.charAt(0)!=="#"?fe=W:fe=W.slice(1),W=document.getElementById(fe)}if(!W)throw"Can not find container in document with id "+fe}return this._setAttr("container",W),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),W.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var W=this.children,ne=W.length,fe;for(fe=0;fe<ne;fe++)W[fe].clear();return this}clone(W){return W||(W={}),W.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,W)}destroy(){super.destroy();var W=this.content;W&&t.Util._isInDocument(W)&&this.container().removeChild(W);var ne=e.stages.indexOf(this);return ne>-1&&e.stages.splice(ne,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const W=this._pointerPositions[0]||this._changedPointerPositions[0];return W?{x:W.x,y:W.y}:(t.Util.warn(ie),null)}_getPointerById(W){return this._pointerPositions.find(ne=>ne.id===W)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(W){W=W||{},W.x=W.x||0,W.y=W.y||0,W.width=W.width||this.width(),W.height=W.height||this.height();var ne=new o.SceneCanvas({width:W.width,height:W.height,pixelRatio:W.pixelRatio||1}),fe=ne.getContext()._context,pe=this.children;return(W.x||W.y)&&fe.translate(-1*W.x,-1*W.y),pe.forEach(function(ve){if(ve.isVisible()){var ye=ve._toKonvaCanvas(W);fe.drawImage(ye._canvas,W.x,W.y,ye.getWidth()/ye.getPixelRatio(),ye.getHeight()/ye.getPixelRatio())}}),ne}getIntersection(W){if(!W)return null;var ne=this.children,fe=ne.length,pe=fe-1,ve;for(ve=pe;ve>=0;ve--){const ye=ne[ve].getIntersection(W);if(ye)return ye}return null}_resizeDOM(){var W=this.width(),ne=this.height();this.content&&(this.content.style.width=W+f,this.content.style.height=ne+f),this.bufferCanvas.setSize(W,ne),this.bufferHitCanvas.setSize(W,ne),this.children.forEach(fe=>{fe.setSize({width:W,height:ne}),fe.draw()})}add(W,...ne){if(arguments.length>1){for(var fe=0;fe<arguments.length;fe++)this.add(arguments[fe]);return this}super.add(W);var pe=this.children.length;return pe>D&&t.Util.warn("The stage has "+pe+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),W.setSize({width:this.width(),height:this.height()}),W.draw(),i.Konva.isBrowser&&this.content.appendChild(W.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(W){return l.hasPointerCapture(W,this)}setPointerCapture(W){l.setPointerCapture(W,this)}releaseCapture(W){l.releaseCapture(W,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&V.forEach(([W,ne])=>{this.content.addEventListener(W,fe=>{this[ne](fe)},{passive:!1})})}_pointerenter(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerenter,{evt:W,target:this,currentTarget:this})}_pointerover(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this})}_getTargetShape(W){let ne=this[W+"targetShape"];return ne&&!ne.getStage()&&(ne=null),ne}_pointerleave(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=this._getTargetShape(fe),ve=!s.DD.isDragging||i.Konva.hitOnDragEnabled;pe&&ve?(pe._fireAndBubble(ne.pointerout,{evt:W}),pe._fireAndBubble(ne.pointerleave,{evt:W}),this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this[fe+"targetShape"]=null):ve&&(this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this._fire(ne.pointerout,{evt:W,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=!1;this._changedPointerPositions.forEach(ve=>{var ye=this.getIntersection(ve);if(s.DD.justDragged=!1,i.Konva["_"+fe+"ListenClick"]=!0,!(ye&&ye.isListening()))return;i.Konva.capturePointerEventsEnabled&&ye.setPointerCapture(ve.id),this[fe+"ClickStartShape"]=ye,ye._fireAndBubble(ne.pointerdown,{evt:W,pointerId:ve.id}),pe=!0;const Me=W.type.indexOf("touch")>=0;ye.preventDefault()&&W.cancelable&&Me&&W.preventDefault()}),pe||this._fire(ne.pointerdown,{evt:W,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;s.DD.isDragging&&s.DD.node.preventDefault()&&W.cancelable&&W.preventDefault(),this.setPointersPositions(W);var pe=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!pe)return;var ve={};let ye=!1;var We=this._getTargetShape(fe);this._changedPointerPositions.forEach(Me=>{const Ee=l.getCapturedShape(Me.id)||this.getIntersection(Me),lt=Me.id,_e={evt:W,pointerId:lt};var jt=We!==Ee;if(jt&&We&&(We._fireAndBubble(ne.pointerout,Object.assign({},_e),Ee),We._fireAndBubble(ne.pointerleave,Object.assign({},_e),Ee)),Ee){if(ve[Ee._id])return;ve[Ee._id]=!0}Ee&&Ee.isListening()?(ye=!0,jt&&(Ee._fireAndBubble(ne.pointerover,Object.assign({},_e),We),Ee._fireAndBubble(ne.pointerenter,Object.assign({},_e),We),this[fe+"targetShape"]=Ee),Ee._fireAndBubble(ne.pointermove,Object.assign({},_e))):We&&(this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this,pointerId:lt}),this[fe+"targetShape"]=null)}),ye||this._fire(ne.pointermove,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;this.setPointersPositions(W);const pe=this[fe+"ClickStartShape"],ve=this[fe+"ClickEndShape"];var ye={};let We=!1;this._changedPointerPositions.forEach(Me=>{const Ee=l.getCapturedShape(Me.id)||this.getIntersection(Me);if(Ee){if(Ee.releaseCapture(Me.id),ye[Ee._id])return;ye[Ee._id]=!0}const lt=Me.id,_e={evt:W,pointerId:lt};let jt=!1;i.Konva["_"+fe+"InDblClickWindow"]?(jt=!0,clearTimeout(this[fe+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+fe+"InDblClickWindow"]=!0,clearTimeout(this[fe+"DblTimeout"])),this[fe+"DblTimeout"]=setTimeout(function(){i.Konva["_"+fe+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),Ee&&Ee.isListening()?(We=!0,this[fe+"ClickEndShape"]=Ee,Ee._fireAndBubble(ne.pointerup,Object.assign({},_e)),i.Konva["_"+fe+"ListenClick"]&&pe&&pe===Ee&&(Ee._fireAndBubble(ne.pointerclick,Object.assign({},_e)),jt&&ve&&ve===Ee&&Ee._fireAndBubble(ne.pointerdblclick,Object.assign({},_e)))):(this[fe+"ClickEndShape"]=null,i.Konva["_"+fe+"ListenClick"]&&this._fire(ne.pointerclick,{evt:W,target:this,currentTarget:this,pointerId:lt}),jt&&this._fire(ne.pointerdblclick,{evt:W,target:this,currentTarget:this,pointerId:lt}))}),We||this._fire(ne.pointerup,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+fe+"ListenClick"]=!1,W.cancelable&&fe!=="touch"&&W.preventDefault()}_contextmenu(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(G,{evt:W}):this._fire(G,{evt:W,target:this,currentTarget:this})}_wheel(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(B,{evt:W}):this._fire(B,{evt:W,target:this,currentTarget:this})}_pointercancel(W){this.setPointersPositions(W);const ne=l.getCapturedShape(W.pointerId)||this.getIntersection(this.getPointerPosition());ne&&ne._fireAndBubble(C,l.createEvent(W)),l.releaseCapture(W.pointerId)}_lostpointercapture(W){l.releaseCapture(W.pointerId)}setPointersPositions(W){var ne=this._getContentPosition(),fe=null,pe=null;W=W||window.event,W.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(W.touches,ve=>{this._pointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})}),Array.prototype.forEach.call(W.changedTouches||W.touches,ve=>{this._changedPointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})})):(fe=(W.clientX-ne.left)/ne.scaleX,pe=(W.clientY-ne.top)/ne.scaleY,this.pointerPos={x:fe,y:pe},this._pointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}],this._changedPointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}])}_setPointerPosition(W){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(W)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var W=this.content.getBoundingClientRect();return{top:W.top,left:W.left,scaleX:W.width/this.content.clientWidth||1,scaleY:W.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var W=this.container();if(!W)throw"Stage has no container. A container is required.";W.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),W.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(W){W.batchDraw()}),this}}e.Stage=se,se.prototype.nodeType=u,(0,a._registerNode)(se),n.Factory.addGetterSetter(se,"container")})(YU);var Pm={},rr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=rt,n=Sn,r=nt,i=fn,o=ke,s=rt,a=Vi;var l="hasShadow",u="shadowRGBA",d="patternImage",f="linearGradient",p="radialGradient";let g;function m(){return g||(g=n.Util.createCanvasElement().getContext("2d"),g)}e.shapes={};function v(k){const O=this.attrs.fillRule;O?k.fill(O):k.fill()}function x(k){k.stroke()}function _(k){k.fill()}function b(k){k.stroke()}function y(){this._clearCache(l)}function S(){this._clearCache(u)}function C(){this._clearCache(d)}function T(){this._clearCache(f)}function E(){this._clearCache(p)}class P extends i.Node{constructor(O){super(O);let M;for(;M=n.Util.getRandomColor(),!(M&&!(M in e.shapes)););this.colorKey=M,e.shapes[M]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(d,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var O=m();const M=O.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(M&&M.setTransform){const G=new n.Transform;G.translate(this.fillPatternX(),this.fillPatternY()),G.rotate(t.Konva.getAngle(this.fillPatternRotation())),G.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),G.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const U=G.getMatrix(),A=typeof DOMMatrix>"u"?{a:U[0],b:U[1],c:U[2],d:U[3],e:U[4],f:U[5]}:new DOMMatrix(U);M.setTransform(A)}return M}}_getLinearGradient(){return this._getCache(f,this.__getLinearGradient)}__getLinearGradient(){var O=this.fillLinearGradientColorStops();if(O){for(var M=m(),G=this.fillLinearGradientStartPoint(),U=this.fillLinearGradientEndPoint(),A=M.createLinearGradient(G.x,G.y,U.x,U.y),N=0;N<O.length;N+=2)A.addColorStop(O[N],O[N+1]);return A}}_getRadialGradient(){return this._getCache(p,this.__getRadialGradient)}__getRadialGradient(){var O=this.fillRadialGradientColorStops();if(O){for(var M=m(),G=this.fillRadialGradientStartPoint(),U=this.fillRadialGradientEndPoint(),A=M.createRadialGradient(G.x,G.y,this.fillRadialGradientStartRadius(),U.x,U.y,this.fillRadialGradientEndRadius()),N=0;N<O.length;N+=2)A.addColorStop(O[N],O[N+1]);return A}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var O=n.Util.colorToRGBA(this.shadowColor());if(O)return"rgba("+O.r+","+O.g+","+O.b+","+O.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const O=this.hitStrokeWidth();return O==="auto"?this.hasStroke():this.strokeEnabled()&&!!O}intersects(O){var M=this.getStage(),G=M.bufferHitCanvas,U;return G.getContext().clear(),this.drawHit(G,null,!0),U=G.context.getImageData(Math.round(O.x),Math.round(O.y),1,1).data,U[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(O){var M;if(!this.getStage()||!((M=this.attrs.perfectDrawEnabled)!==null&&M!==void 0?M:!0))return!1;const U=O||this.hasFill(),A=this.hasStroke(),N=this.getAbsoluteOpacity()!==1;if(U&&A&&N)return!0;const F=this.hasShadow(),B=this.shadowForStrokeEnabled();return!!(U&&A&&F&&B)}setStrokeHitEnabled(O){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),O?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var O=this.size();return{x:this._centroid?-O.width/2:0,y:this._centroid?-O.height/2:0,width:O.width,height:O.height}}getClientRect(O={}){const M=O.skipTransform,G=O.relativeTo,U=this.getSelfRect(),N=!O.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,F=U.width+N,B=U.height+N,D=!O.skipShadow&&this.hasShadow(),V=D?this.shadowOffsetX():0,j=D?this.shadowOffsetY():0,q=F+Math.abs(V),Z=B+Math.abs(j),ee=D&&this.shadowBlur()||0,ie=q+ee*2,se=Z+ee*2,le={width:ie,height:se,x:-(N/2+ee)+Math.min(V,0)+U.x,y:-(N/2+ee)+Math.min(j,0)+U.y};return M?le:this._transformedRect(le,G)}drawScene(O,M){var G=this.getLayer(),U=O||G.getCanvas(),A=U.getContext(),N=this._getCanvasCache(),F=this.getSceneFunc(),B=this.hasShadow(),D,V,j,q=U.isCache,Z=M===this;if(!this.isVisible()&&!Z)return this;if(N){A.save();var ee=this.getAbsoluteTransform(M).getMatrix();return A.transform(ee[0],ee[1],ee[2],ee[3],ee[4],ee[5]),this._drawCachedSceneCanvas(A),A.restore(),this}if(!F)return this;if(A.save(),this._useBufferCanvas()&&!q){D=this.getStage(),V=D.bufferCanvas,j=V.getContext(),j.clear(),j.save(),j._applyLineJoin(this);var ie=this.getAbsoluteTransform(M).getMatrix();j.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),F.call(this,j,this),j.restore();var se=V.pixelRatio;B&&A._applyShadow(this),A._applyOpacity(this),A._applyGlobalCompositeOperation(this),A.drawImage(V._canvas,0,0,V.width/se,V.height/se)}else{if(A._applyLineJoin(this),!Z){var ie=this.getAbsoluteTransform(M).getMatrix();A.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),A._applyOpacity(this),A._applyGlobalCompositeOperation(this)}B&&A._applyShadow(this),F.call(this,A,this)}return A.restore(),this}drawHit(O,M,G=!1){if(!this.shouldDrawHit(M,G))return this;var U=this.getLayer(),A=O||U.hitCanvas,N=A&&A.getContext(),F=this.hitFunc()||this.sceneFunc(),B=this._getCanvasCache(),D=B&&B.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),D){N.save();var V=this.getAbsoluteTransform(M).getMatrix();return N.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedHitCanvas(N),N.restore(),this}if(!F)return this;if(N.save(),N._applyLineJoin(this),!(this===M)){var q=this.getAbsoluteTransform(M).getMatrix();N.transform(q[0],q[1],q[2],q[3],q[4],q[5])}return F.call(this,N,this),N.restore(),this}drawHitFromCache(O=0){var M=this._getCanvasCache(),G=this._getCachedSceneCanvas(),U=M.hit,A=U.getContext(),N=U.getWidth(),F=U.getHeight(),B,D,V,j,q,Z;A.clear(),A.drawImage(G._canvas,0,0,N,F);try{for(B=A.getImageData(0,0,N,F),D=B.data,V=D.length,j=n.Util._hexToRgb(this.colorKey),q=0;q<V;q+=4)Z=D[q+3],Z>O?(D[q]=j.r,D[q+1]=j.g,D[q+2]=j.b,D[q+3]=255):D[q+3]=0;A.putImageData(B,0,0)}catch(ee){n.Util.error("Unable to draw hit graph from cached scene canvas. "+ee.message)}return this}hasPointerCapture(O){return a.hasPointerCapture(O,this)}setPointerCapture(O){a.setPointerCapture(O,this)}releaseCapture(O){a.releaseCapture(O,this)}}e.Shape=P,P.prototype._fillFunc=v,P.prototype._strokeFunc=x,P.prototype._fillFuncHit=_,P.prototype._strokeFuncHit=b,P.prototype._centroid=!1,P.prototype.nodeType="Shape",(0,s._registerNode)(P),P.prototype.eventListeners={},P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",y),P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",S),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",C),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",T),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",E),r.Factory.addGetterSetter(P,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(P,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(P,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"lineJoin"),r.Factory.addGetterSetter(P,"lineCap"),r.Factory.addGetterSetter(P,"sceneFunc"),r.Factory.addGetterSetter(P,"hitFunc"),r.Factory.addGetterSetter(P,"dash"),r.Factory.addGetterSetter(P,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(P,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(P,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternImage"),r.Factory.addGetterSetter(P,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(P,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(P,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(P,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(P,"fillEnabled",!0),r.Factory.addGetterSetter(P,"strokeEnabled",!0),r.Factory.addGetterSetter(P,"shadowEnabled",!0),r.Factory.addGetterSetter(P,"dashEnabled",!0),r.Factory.addGetterSetter(P,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(P,"fillPriority","color"),r.Factory.addComponentsGetterSetter(P,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(P,"fillPatternRotation",0),r.Factory.addGetterSetter(P,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(P,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(rr);Object.defineProperty(Pm,"__esModule",{value:!0});Pm.Layer=void 0;const ia=Sn,Dx=vc,hd=fn,bE=nt,XO=Qo,QSe=ke,ZSe=rr,JSe=rt;var e2e="#",t2e="beforeDraw",n2e="draw",JU=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],r2e=JU.length;class Vf extends Dx.Container{constructor(t){super(t),this.canvas=new XO.SceneCanvas,this.hitCanvas=new XO.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){hd.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=hd.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(hd.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(hd.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return hd.Node.prototype.remove.call(this),t&&t.parentNode&&ia.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&ia.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),hd.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){ia.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){ia.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,ia.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<r2e;i++){const o=JU[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=ia.Util._rgbToHex(r[0],r[1],r[2]),s=ZSe.shapes[e2e+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(t2e,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),Dx.Container.prototype.drawScene.call(this,i,n),this._fire(n2e,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),Dx.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){ia.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return ia.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return ia.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Pm.Layer=Vf;Vf.prototype.nodeType="Layer";(0,JSe._registerNode)(Vf);bE.Factory.addGetterSetter(Vf,"imageSmoothingEnabled",!0);bE.Factory.addGetterSetter(Vf,"clearBeforeDraw",!0);bE.Factory.addGetterSetter(Vf,"hitGraphEnabled",!0,(0,QSe.getBooleanValidator)());var lS={};Object.defineProperty(lS,"__esModule",{value:!0});lS.FastLayer=void 0;const i2e=Sn,o2e=Pm,s2e=rt;class SE extends o2e.Layer{constructor(t){super(t),this.listening(!1),i2e.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}lS.FastLayer=SE;SE.prototype.nodeType="FastLayer";(0,s2e._registerNode)(SE);var jf={};Object.defineProperty(jf,"__esModule",{value:!0});jf.Group=void 0;const a2e=Sn,l2e=vc,u2e=rt;class wE extends l2e.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&a2e.Util.throw("You may only add groups and shapes to groups.")}}jf.Group=wE;wE.prototype.nodeType="Group";(0,u2e._registerNode)(wE);var Gf={};Object.defineProperty(Gf,"__esModule",{value:!0});Gf.Animation=void 0;const $x=rt,YO=Sn;var Fx=function(){return $x.glob.performance&&$x.glob.performance.now?function(){return $x.glob.performance.now()}:function(){return new Date().getTime()}}();class ws{constructor(t,n){this.id=ws.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Fx(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=ws,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=Fx(),ws._addAnimation(this),this}stop(){return ws._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,d,f;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(Fx()),l=i.length,o?f=o.call(r,r.frame)!==!1:f=!0,!!f)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(d in t)t.hasOwnProperty(d)&&t[d].batchDraw()}static _animationLoop(){var t=ws;t.animations.length?(t._runFrames(),YO.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,YO.Util.requestAnimFrame(this._animationLoop))}}Gf.Animation=ws;ws.animations=[];ws.animIdCounter=0;ws.animRunning=!1;var ez={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=Sn,n=Gf,r=fn,i=rt;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,d=["fill","stroke","shadowColor"];class f{constructor(m,v,x,_,b,y,S){this.prop=m,this.propFunc=v,this.begin=_,this._pos=_,this.duration=y,this._change=0,this.prevPos=0,this.yoyo=S,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=x,this._change=b-this.begin,this.pause()}fire(m){var v=this[m];v&&v()}setTime(m){m>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():m<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=m,this.update())}getTime(){return this._time}setPosition(m){this.prevPos=this._pos,this.propFunc(m),this._pos=m}getPosition(m){return m===void 0&&(m=this._time),this.func(m,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(m){this.pause(),this._time=m,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var m=this.getTimer()-this._startTime;this.state===a?this.setTime(m):this.state===l&&this.setTime(this.duration-m)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class p{constructor(m){var v=this,x=m.node,_=x._id,b,y=m.easing||e.Easings.Linear,S=!!m.yoyo,C;typeof m.duration>"u"?b=.3:m.duration===0?b=.001:b=m.duration,this.node=x,this._id=u++;var T=x.getLayer()||(x instanceof i.Konva.Stage?x.getLayers():null);T||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){v.tween.onEnterFrame()},T),this.tween=new f(C,function(E){v._tweenFunc(E)},y,0,1,b*1e3,S),this._addListeners(),p.attrs[_]||(p.attrs[_]={}),p.attrs[_][this._id]||(p.attrs[_][this._id]={}),p.tweens[_]||(p.tweens[_]={});for(C in m)o[C]===void 0&&this._addAttr(C,m[C]);this.reset(),this.onFinish=m.onFinish,this.onReset=m.onReset,this.onUpdate=m.onUpdate}_addAttr(m,v){var x=this.node,_=x._id,b,y,S,C,T,E,P,k;if(S=p.tweens[_][m],S&&delete p.attrs[_][S][m],b=x.getAttr(m),t.Util._isArray(v))if(y=[],T=Math.max(v.length,b.length),m==="points"&&v.length!==b.length&&(v.length>b.length?(P=b,b=t.Util._prepareArrayForTween(b,v,x.closed())):(E=v,v=t.Util._prepareArrayForTween(v,b,x.closed()))),m.indexOf("fill")===0)for(C=0;C<T;C++)if(C%2===0)y.push(v[C]-b[C]);else{var O=t.Util.colorToRGBA(b[C]);k=t.Util.colorToRGBA(v[C]),b[C]=O,y.push({r:k.r-O.r,g:k.g-O.g,b:k.b-O.b,a:k.a-O.a})}else for(C=0;C<T;C++)y.push(v[C]-b[C]);else d.indexOf(m)!==-1?(b=t.Util.colorToRGBA(b),k=t.Util.colorToRGBA(v),y={r:k.r-b.r,g:k.g-b.g,b:k.b-b.b,a:k.a-b.a}):y=v-b;p.attrs[_][this._id][m]={start:b,diff:y,end:v,trueEnd:E,trueStart:P},p.tweens[_][m]=this._id}_tweenFunc(m){var v=this.node,x=p.attrs[v._id][this._id],_,b,y,S,C,T,E,P;for(_ in x){if(b=x[_],y=b.start,S=b.diff,P=b.end,t.Util._isArray(y))if(C=[],E=Math.max(y.length,P.length),_.indexOf("fill")===0)for(T=0;T<E;T++)T%2===0?C.push((y[T]||0)+S[T]*m):C.push("rgba("+Math.round(y[T].r+S[T].r*m)+","+Math.round(y[T].g+S[T].g*m)+","+Math.round(y[T].b+S[T].b*m)+","+(y[T].a+S[T].a*m)+")");else for(T=0;T<E;T++)C.push((y[T]||0)+S[T]*m);else d.indexOf(_)!==-1?C="rgba("+Math.round(y.r+S.r*m)+","+Math.round(y.g+S.g*m)+","+Math.round(y.b+S.b*m)+","+(y.a+S.a*m)+")":C=y+S*m;v.setAttr(_,C)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var m=this.node,v=p.attrs[m._id][this._id];v.points&&v.points.trueEnd&&m.setAttr("points",v.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var m=this.node,v=p.attrs[m._id][this._id];v.points&&v.points.trueStart&&m.points(v.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(m){return this.tween.seek(m*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var m=this.node._id,v=this._id,x=p.tweens[m],_;this.pause();for(_ in x)delete p.tweens[m][_];delete p.attrs[m][v]}}e.Tween=p,p.attrs={},p.tweens={},r.Node.prototype.to=function(g){var m=g.onFinish;g.node=this,g.onFinish=function(){this.destroy(),m&&m()};var v=new p(g);v.play()},e.Easings={BackEaseIn(g,m,v,x){var _=1.70158;return v*(g/=x)*g*((_+1)*g-_)+m},BackEaseOut(g,m,v,x){var 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t=(s,a,l)=>{let u,d,f;u=l/2,d=0;for(let g=0;g<20;g++)f=u*e.tValues[20][g]+u,d+=e.cValues[20][g]*r(s,a,f);return u*d};e.getCubicArcLength=t;const n=(s,a,l)=>{l===void 0&&(l=1);const u=s[0]-2*s[1]+s[2],d=a[0]-2*a[1]+a[2],f=2*s[1]-2*s[0],p=2*a[1]-2*a[0],g=4*(u*u+d*d),m=4*(u*f+d*p),v=f*f+p*p;if(g===0)return l*Math.sqrt(Math.pow(s[2]-s[0],2)+Math.pow(a[2]-a[0],2));const x=m/(2*g),_=v/g,b=l+x,y=_-x*x,S=b*b+y>0?Math.sqrt(b*b+y):0,C=x*x+y>0?Math.sqrt(x*x+y):0,T=x+Math.sqrt(x*x+y)!==0?y*Math.log(Math.abs((b+S)/(x+C))):0;return Math.sqrt(g)/2*(b*S-x*C+T)};e.getQuadraticArcLength=n;function r(s,a,l){const u=i(1,l,s),d=i(1,l,a),f=u*u+d*d;return Math.sqrt(f)}const i=(s,a,l)=>{const u=l.length-1;let d,f;if(u===0)return 0;if(s===0){f=0;for(let p=0;p<=u;p++)f+=e.binomialCoefficients[u][p]*Math.pow(1-a,u-p)*Math.pow(a,p)*l[p];return f}else{d=new Array(u);for(let p=0;p<u;p++)d[p]=u*(l[p+1]-l[p]);return i(s-1,a,d)}},o=(s,a,l)=>{let u=1,d=s/a,f=(s-l(d))/a,p=0;for(;u>.001;){const g=l(d+f),m=Math.abs(s-g)/a;if(m<u)u=m,d+=f;else{const v=l(d-f),x=Math.abs(s-v)/a;x<u?(u=x,d-=f):f/=2}if(p++,p>500)break}return d};e.t2length=o})(nz);Object.defineProperty(Hf,"__esModule",{value:!0});Hf.Path=void 0;const p2e=nt,g2e=rr,m2e=rt,pd=nz;class Zn extends g2e.Shape{constructor(t){super(t),this.dataArray=[],this.pathLength=0,this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute()})}_readDataAttribute(){this.dataArray=Zn.parsePathData(this.data()),this.pathLength=Zn.getPathLength(this.dataArray)}_sceneFunc(t){var n=this.dataArray;t.beginPath();for(var r=!1,i=0;i<n.length;i++){var o=n[i].command,s=n[i].points;switch(o){case"L":t.lineTo(s[0],s[1]);break;case"M":t.moveTo(s[0],s[1]);break;case"C":t.bezierCurveTo(s[0],s[1],s[2],s[3],s[4],s[5]);break;case"Q":t.quadraticCurveTo(s[0],s[1],s[2],s[3]);break;case"A":var a=s[0],l=s[1],u=s[2],d=s[3],f=s[4],p=s[5],g=s[6],m=s[7],v=u>d?u:d,x=u>d?1:u/d,_=u>d?d/u:1;t.translate(a,l),t.rotate(g),t.scale(x,_),t.arc(0,0,v,f,f+p,1-m),t.scale(1/x,1/_),t.rotate(-g),t.translate(-a,-l);break;case"z":r=!0,t.closePath();break}}!r&&!this.hasFill()?t.strokeShape(this):t.fillStrokeShape(this)}getSelfRect(){var t=[];this.dataArray.forEach(function(u){if(u.command==="A"){var d=u.points[4],f=u.points[5],p=u.points[4]+f,g=Math.PI/180;if(Math.abs(d-p)<g&&(g=Math.abs(d-p)),f<0)for(let m=d-g;m>p;m-=g){const v=Zn.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],m,0);t.push(v.x,v.y)}else for(let m=d+g;m<p;m+=g){const v=Zn.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],m,0);t.push(v.x,v.y)}}else if(u.command==="C")for(let m=0;m<=1;m+=.01){const v=Zn.getPointOnCubicBezier(m,u.start.x,u.start.y,u.points[0],u.points[1],u.points[2],u.points[3],u.points[4],u.points[5]);t.push(v.x,v.y)}else t=t.concat(u.points)});for(var n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],isNaN(s)||(n=Math.min(n,s),r=Math.max(r,s)),isNaN(a)||(i=Math.min(i,a),o=Math.max(o,a));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return Zn.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return Zn.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return Zn.getPointOnCubicBezier((0,pd.t2length)(t,Zn.getPathLength(n),v=>(0,pd.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return Zn.getPointOnQuadraticBezier((0,pd.t2length)(t,Zn.getPathLength(n),v=>(0,pd.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],d=a[2],f=a[3],p=a[4],g=a[5],m=a[6];return p+=g*t/s.pathLength,Zn.getPointOnEllipticalArc(l,u,d,f,p,m)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var d=l*u,f;if(i===n)f={x:s,y:a+d};else if((a-r)/(s-n+1e-8)===l)f={x:s+u,y:a+d};else{var p,g,m=this.getLineLength(n,r,i,o),v=(s-n)*(i-n)+(a-r)*(o-r);v=v/(m*m),p=n+v*(i-n),g=r+v*(o-r);var x=this.getLineLength(s,a,p,g),_=Math.sqrt(t*t-x*x);u=Math.sqrt(_*_/(1+l*l)),i<n&&(u*=-1),d=l*u,f={x:p+u,y:g+d}}return f}static getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function d(x){return x*x*x}function f(x){return 3*x*x*(1-x)}function p(x){return 3*x*(1-x)*(1-x)}function g(x){return(1-x)*(1-x)*(1-x)}var m=l*d(t)+s*f(t)+i*p(t)+n*g(t),v=u*d(t)+a*f(t)+o*p(t)+r*g(t);return{x:m,y:v}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(g){return g*g}function u(g){return 2*g*(1-g)}function d(g){return(1-g)*(1-g)}var f=s*l(t)+i*u(t)+n*d(t),p=a*l(t)+o*u(t)+r*d(t);return{x:f,y:p}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,d=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,f;for(i=1;i<o.length;i++){var p=o[i],g=p.charAt(0);for(p=p.slice(1),a.length=0;f=d.exec(p);)a.push(f[0]);for(var m=[],v=0,x=a.length;v<x;v++){if(a[v]==="00"){m.push(0,0);continue}var _=parseFloat(a[v]);isNaN(_)?m.push(0):m.push(_)}for(;m.length>0&&!isNaN(m[0]);){var b=null,y=[],S=l,C=u,T,E,P,k,O,M,G,U,A,N;switch(g){case"l":l+=m.shift(),u+=m.shift(),b="L",y.push(l,u);break;case"L":l=m.shift(),u=m.shift(),y.push(l,u);break;case"m":var F=m.shift(),B=m.shift();if(l+=F,u+=B,b="M",s.length>2&&s[s.length-1].command==="z"){for(var D=s.length-2;D>=0;D--)if(s[D].command==="M"){l=s[D].points[0]+F,u=s[D].points[1]+B;break}}y.push(l,u),g="l";break;case"M":l=m.shift(),u=m.shift(),b="M",y.push(l,u),g="L";break;case"h":l+=m.shift(),b="L",y.push(l,u);break;case"H":l=m.shift(),b="L",y.push(l,u);break;case"v":u+=m.shift(),b="L",y.push(l,u);break;case"V":u=m.shift(),b="L",y.push(l,u);break;case"C":y.push(m.shift(),m.shift(),m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"c":y.push(l+m.shift(),u+m.shift(),l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"S":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,m.shift(),m.shift()),l=m.shift(),u=m.shift(),b="C",y.push(l,u);break;case"s":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"Q":y.push(m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"q":y.push(l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="Q",y.push(l,u);break;case"T":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l=m.shift(),u=m.shift(),b="Q",y.push(E,P,l,u);break;case"t":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l+=m.shift(),u+=m.shift(),b="Q",y.push(E,P,l,u);break;case"A":k=m.shift(),O=m.shift(),M=m.shift(),G=m.shift(),U=m.shift(),A=l,N=u,l=m.shift(),u=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,G,U,k,O,M);break;case"a":k=m.shift(),O=m.shift(),M=m.shift(),G=m.shift(),U=m.shift(),A=l,N=u,l+=m.shift(),u+=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,G,U,k,O,M);break}s.push({command:b||g,points:y,start:{x:S,y:C},pathLength:this.calcLength(S,C,b||g,y)})}(g==="z"||g==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=Zn;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,pd.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,pd.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var d=i[4],f=i[5],p=i[4]+f,g=Math.PI/180;if(Math.abs(d-p)<g&&(g=Math.abs(d-p)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],d,0),f<0)for(l=d-g;l>p;l-=g)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=d+g;l<p;l+=g)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],p,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var d=u*(Math.PI/180),f=Math.cos(d)*(t-r)/2+Math.sin(d)*(n-i)/2,p=-1*Math.sin(d)*(t-r)/2+Math.cos(d)*(n-i)/2,g=f*f/(a*a)+p*p/(l*l);g>1&&(a*=Math.sqrt(g),l*=Math.sqrt(g));var m=Math.sqrt((a*a*(l*l)-a*a*(p*p)-l*l*(f*f))/(a*a*(p*p)+l*l*(f*f)));o===s&&(m*=-1),isNaN(m)&&(m=0);var v=m*a*p/l,x=m*-l*f/a,_=(t+r)/2+Math.cos(d)*v-Math.sin(d)*x,b=(n+i)/2+Math.sin(d)*v+Math.cos(d)*x,y=function(O){return Math.sqrt(O[0]*O[0]+O[1]*O[1])},S=function(O,M){return(O[0]*M[0]+O[1]*M[1])/(y(O)*y(M))},C=function(O,M){return(O[0]*M[1]<O[1]*M[0]?-1:1)*Math.acos(S(O,M))},T=C([1,0],[(f-v)/a,(p-x)/l]),E=[(f-v)/a,(p-x)/l],P=[(-1*f-v)/a,(-1*p-x)/l],k=C(E,P);return S(E,P)<=-1&&(k=Math.PI),S(E,P)>=1&&(k=0),s===0&&k>0&&(k=k-2*Math.PI),s===1&&k<0&&(k=k+2*Math.PI),[_,b,a,l,T,k,d,s]}}Hf.Path=Zn;Zn.prototype.className="Path";Zn.prototype._attrsAffectingSize=["data"];(0,m2e._registerNode)(Zn);p2e.Factory.addGetterSetter(Zn,"data");Object.defineProperty(fS,"__esModule",{value:!0});fS.Arrow=void 0;const pS=nt,y2e=Rm,rz=ke,v2e=rt,JO=Hf;class bc extends y2e.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const p=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],g=JO.Path.calcLength(i[i.length-4],i[i.length-3],"C",p),m=JO.Path.getPointOnQuadraticBezier(Math.min(1,1-s/g),p[0],p[1],p[2],p[3],p[4],p[5]);l=r[a-2]-m.x,u=r[a-1]-m.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var d=(Math.atan2(u,l)+n)%n,f=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(d),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}fS.Arrow=bc;bc.prototype.className="Arrow";(0,v2e._registerNode)(bc);pS.Factory.addGetterSetter(bc,"pointerLength",10,(0,rz.getNumberValidator)());pS.Factory.addGetterSetter(bc,"pointerWidth",10,(0,rz.getNumberValidator)());pS.Factory.addGetterSetter(bc,"pointerAtBeginning",!1);pS.Factory.addGetterSetter(bc,"pointerAtEnding",!0);var gS={};Object.defineProperty(gS,"__esModule",{value:!0});gS.Circle=void 0;const _2e=nt,b2e=rr,S2e=ke,w2e=rt;let Wf=class extends b2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};gS.Circle=Wf;Wf.prototype._centroid=!0;Wf.prototype.className="Circle";Wf.prototype._attrsAffectingSize=["radius"];(0,w2e._registerNode)(Wf);_2e.Factory.addGetterSetter(Wf,"radius",0,(0,S2e.getNumberValidator)());var mS={};Object.defineProperty(mS,"__esModule",{value:!0});mS.Ellipse=void 0;const xE=nt,x2e=rr,iz=ke,C2e=rt;class ou extends x2e.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}mS.Ellipse=ou;ou.prototype.className="Ellipse";ou.prototype._centroid=!0;ou.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,C2e._registerNode)(ou);xE.Factory.addComponentsGetterSetter(ou,"radius",["x","y"]);xE.Factory.addGetterSetter(ou,"radiusX",0,(0,iz.getNumberValidator)());xE.Factory.addGetterSetter(ou,"radiusY",0,(0,iz.getNumberValidator)());var yS={};Object.defineProperty(yS,"__esModule",{value:!0});yS.Image=void 0;const Bx=Sn,Sc=nt,T2e=rr,E2e=rt,Om=ke;let Us=class oz extends T2e.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?Bx.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?Bx.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=Bx.Util.createImageElement();i.onload=function(){var o=new oz({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};yS.Image=Us;Us.prototype.className="Image";(0,E2e._registerNode)(Us);Sc.Factory.addGetterSetter(Us,"cornerRadius",0,(0,Om.getNumberOrArrayOfNumbersValidator)(4));Sc.Factory.addGetterSetter(Us,"image");Sc.Factory.addComponentsGetterSetter(Us,"crop",["x","y","width","height"]);Sc.Factory.addGetterSetter(Us,"cropX",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropY",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropWidth",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropHeight",0,(0,Om.getNumberValidator)());var Rf={};Object.defineProperty(Rf,"__esModule",{value:!0});Rf.Tag=Rf.Label=void 0;const vS=nt,A2e=rr,P2e=jf,CE=ke,sz=rt;var az=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],R2e="Change.konva",O2e="none",l5="up",u5="right",c5="down",d5="left",k2e=az.length;class TE extends P2e.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<k2e;r++)t.on(az[r]+R2e,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case l5:a=r/2,l=-1*u;break;case u5:a=r+s,l=i/2;break;case c5:a=r/2,l=i+u;break;case d5:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}Rf.Label=TE;TE.prototype.className="Label";(0,sz._registerNode)(TE);class wc extends A2e.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,d=0,f=0;typeof a=="number"?l=u=d=f=Math.min(a,n/2,r/2):(l=Math.min(a[0]||0,n/2,r/2),u=Math.min(a[1]||0,n/2,r/2),f=Math.min(a[2]||0,n/2,r/2),d=Math.min(a[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===l5&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*s),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===u5&&(t.lineTo(n,(r-s)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+s)/2)),t.lineTo(n,r-f),t.arc(n-f,r-f,f,0,Math.PI/2,!1),i===c5&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+s),t.lineTo((n-o)/2,r)),t.lineTo(d,r),t.arc(d,r-d,d,Math.PI/2,Math.PI,!1),i===d5&&(t.lineTo(0,(r+s)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-s)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),s=this.width(),a=this.height();return o===l5?(n-=i,a+=i):o===c5?a+=i:o===d5?(t-=r*1.5,s+=r):o===u5&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}Rf.Tag=wc;wc.prototype.className="Tag";(0,sz._registerNode)(wc);vS.Factory.addGetterSetter(wc,"pointerDirection",O2e);vS.Factory.addGetterSetter(wc,"pointerWidth",0,(0,CE.getNumberValidator)());vS.Factory.addGetterSetter(wc,"pointerHeight",0,(0,CE.getNumberValidator)());vS.Factory.addGetterSetter(wc,"cornerRadius",0,(0,CE.getNumberOrArrayOfNumbersValidator)(4));var km={};Object.defineProperty(km,"__esModule",{value:!0});km.Rect=void 0;const I2e=nt,M2e=rr,N2e=rt,L2e=Sn,D2e=ke;let _S=class extends M2e.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?L2e.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};km.Rect=_S;_S.prototype.className="Rect";(0,N2e._registerNode)(_S);I2e.Factory.addGetterSetter(_S,"cornerRadius",0,(0,D2e.getNumberOrArrayOfNumbersValidator)(4));var bS={};Object.defineProperty(bS,"__esModule",{value:!0});bS.RegularPolygon=void 0;const lz=nt,$2e=rr,uz=ke,F2e=rt;class xc extends $2e.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}bS.RegularPolygon=xc;xc.prototype.className="RegularPolygon";xc.prototype._centroid=!0;xc.prototype._attrsAffectingSize=["radius"];(0,F2e._registerNode)(xc);lz.Factory.addGetterSetter(xc,"radius",0,(0,uz.getNumberValidator)());lz.Factory.addGetterSetter(xc,"sides",0,(0,uz.getNumberValidator)());var SS={};Object.defineProperty(SS,"__esModule",{value:!0});SS.Ring=void 0;const cz=nt,B2e=rr,dz=ke,U2e=rt;var ek=Math.PI*2;class Cc extends B2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,ek,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),ek,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}SS.Ring=Cc;Cc.prototype.className="Ring";Cc.prototype._centroid=!0;Cc.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,U2e._registerNode)(Cc);cz.Factory.addGetterSetter(Cc,"innerRadius",0,(0,dz.getNumberValidator)());cz.Factory.addGetterSetter(Cc,"outerRadius",0,(0,dz.getNumberValidator)());var wS={};Object.defineProperty(wS,"__esModule",{value:!0});wS.Sprite=void 0;const Tc=nt,z2e=rr,V2e=Gf,fz=ke,j2e=rt;class zs extends z2e.Shape{constructor(t){super(t),this._updated=!0,this.anim=new V2e.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+0],l=o[i+1],u=o[i+2],d=o[i+3],f=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,d),t.closePath(),t.fillStrokeShape(this)),f)if(s){var p=s[n],g=r*2;t.drawImage(f,a,l,u,d,p[g+0],p[g+1],u,d)}else t.drawImage(f,a,l,u,d,0,0,u,d)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+2],l=o[i+3];if(t.beginPath(),s){var u=s[n],d=r*2;t.rect(u[d+0],u[d+1],a,l)}else t.rect(0,0,a,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}wS.Sprite=zs;zs.prototype.className="Sprite";(0,j2e._registerNode)(zs);Tc.Factory.addGetterSetter(zs,"animation");Tc.Factory.addGetterSetter(zs,"animations");Tc.Factory.addGetterSetter(zs,"frameOffsets");Tc.Factory.addGetterSetter(zs,"image");Tc.Factory.addGetterSetter(zs,"frameIndex",0,(0,fz.getNumberValidator)());Tc.Factory.addGetterSetter(zs,"frameRate",17,(0,fz.getNumberValidator)());Tc.Factory.backCompat(zs,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var xS={};Object.defineProperty(xS,"__esModule",{value:!0});xS.Star=void 0;const EE=nt,G2e=rr,AE=ke,H2e=rt;class su extends G2e.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}xS.Star=su;su.prototype.className="Star";su.prototype._centroid=!0;su.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,H2e._registerNode)(su);EE.Factory.addGetterSetter(su,"numPoints",5,(0,AE.getNumberValidator)());EE.Factory.addGetterSetter(su,"innerRadius",0,(0,AE.getNumberValidator)());EE.Factory.addGetterSetter(su,"outerRadius",0,(0,AE.getNumberValidator)());var uc={};Object.defineProperty(uc,"__esModule",{value:!0});uc.Text=uc.stringToArray=void 0;const f5=Sn,fi=nt,W2e=rr,au=ke,q2e=rt;function hz(e){return Array.from(e)}uc.stringToArray=hz;var gd="auto",K2e="center",Zh="justify",X2e="Change.konva",Y2e="2d",tk="-",pz="left",Q2e="text",Z2e="Text",J2e="top",ewe="bottom",nk="middle",gz="normal",twe="px ",D0=" ",nwe="right",rwe="word",iwe="char",rk="none",Ux="…",mz=["fontFamily","fontSize","fontStyle","fontVariant","padding","align","verticalAlign","lineHeight","text","width","height","wrap","ellipsis","letterSpacing"],owe=mz.length;function swe(e){return e.split(",").map(t=>{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var $0;function zx(){return $0||($0=f5.Util.createCanvasElement().getContext(Y2e),$0)}function awe(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function lwe(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function uwe(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}class Dn extends W2e.Shape{constructor(t){super(uwe(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n<owe;n++)this.on(mz[n]+X2e,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),d=this.getWidth(),f=this.letterSpacing(),p=this.fill(),g=this.textDecoration(),m=g.indexOf("underline")!==-1,v=g.indexOf("line-through")!==-1,x,_=0,_=s/2,b=0,y=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",nk),t.setAttr("textAlign",pz),a===nk?l=(this.getHeight()-r*s-i*2)/2:a===ewe&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),x=0;x<r;x++){var b=0,y=0,S=n[x],C=S.text,T=S.width,E=S.lastInParagraph,P,k,O;if(t.save(),u===nwe?b+=d-T-i*2:u===K2e&&(b+=(d-T-i*2)/2),m){t.save(),t.beginPath(),t.moveTo(b,_+y+Math.round(o/2)),P=C.split(" ").length-1,k=P===0,O=u===Zh&&!E?d-i*2:T,t.lineTo(b+Math.round(O),_+y+Math.round(o/2)),t.lineWidth=o/15;const F=this._getLinearGradient();t.strokeStyle=F||p,t.stroke(),t.restore()}if(v){t.save(),t.beginPath(),t.moveTo(b,_+y),P=C.split(" ").length-1,k=P===0,O=u===Zh&&E&&!k?d-i*2:T,t.lineTo(b+Math.round(O),_+y),t.lineWidth=o/15;const F=this._getLinearGradient();t.strokeStyle=F||p,t.stroke(),t.restore()}if(f!==0||u===Zh){P=C.split(" ").length-1;for(var M=hz(C),G=0;G<M.length;G++){var U=M[G];U===" "&&!E&&u===Zh&&(b+=(d-i*2-T)/P),this._partialTextX=b,this._partialTextY=_+y,this._partialText=U,t.fillStrokeShape(this),b+=this.measureSize(U).width+f}}else this._partialTextX=b,this._partialTextY=_+y,this._partialText=C,t.fillStrokeShape(this);t.restore(),r>1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=f5.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(Q2e,n),this}getWidth(){var t=this.attrs.width===gd||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===gd||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return f5.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}measureSize(t){var n=zx(),r=this.fontSize(),i;return n.save(),n.font=this._getContextFont(),i=n.measureText(t),n.restore(),{width:i.width,height:r}}_getContextFont(){return this.fontStyle()+D0+this.fontVariant()+D0+(this.fontSize()+twe)+swe(this.fontFamily())}_addTextLine(t){this.align()===Zh&&(t=t.trim());var r=this._getTextWidth(t);return this.textArr.push({text:t,width:r,lastInParagraph:!1})}_getTextWidth(t){var n=this.letterSpacing(),r=t.length;return zx().measureText(t).width+(r?n*(r-1):0)}_setTextData(){var t=this.text().split(`
+`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,s=this.attrs.height,a=o!==gd&&o!==void 0,l=s!==gd&&s!==void 0,u=this.padding(),d=o-u*2,f=s-u*2,p=0,g=this.wrap(),m=g!==rk,v=g!==iwe&&m,x=this.ellipsis();this.textArr=[],zx().font=this._getContextFont();for(var _=x?this._getTextWidth(Ux):0,b=0,y=t.length;b<y;++b){var S=t[b],C=this._getTextWidth(S);if(a&&C>d)for(;S.length>0;){for(var T=0,E=S.length,P="",k=0;T<E;){var O=T+E>>>1,M=S.slice(0,O+1),G=this._getTextWidth(M)+_;G<=d?(T=O+1,P=M,k=G):E=O}if(P){if(v){var U,A=S[P.length],N=A===D0||A===tk;N&&k<=d?U=P.length:U=Math.max(P.lastIndexOf(D0),P.lastIndexOf(tk))+1,U>0&&(T=U,P=P.slice(0,T),k=this._getTextWidth(P))}P=P.trimRight(),this._addTextLine(P),r=Math.max(r,k),p+=i;var F=this._shouldHandleEllipsis(p);if(F){this._tryToAddEllipsisToLastLine();break}if(S=S.slice(T),S=S.trimLeft(),S.length>0&&(C=this._getTextWidth(S),C<=d)){this._addTextLine(S),p+=i,r=Math.max(r,C);break}}else break}else this._addTextLine(S),p+=i,r=Math.max(r,C),this._shouldHandleEllipsis(p)&&b<y-1&&this._tryToAddEllipsisToLastLine();if(this.textArr[this.textArr.length-1]&&(this.textArr[this.textArr.length-1].lastInParagraph=!0),l&&p+i>f)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==gd&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==rk;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==gd&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),s=this.textArr[this.textArr.length-1];if(!(!s||!o)){if(n){var a=this._getTextWidth(s.text+Ux)<i;a||(s.text=s.text.slice(0,s.text.length-3))}this.textArr.splice(this.textArr.length-1,1),this._addTextLine(s.text+Ux)}}getStrokeScaleEnabled(){return!0}}uc.Text=Dn;Dn.prototype._fillFunc=awe;Dn.prototype._strokeFunc=lwe;Dn.prototype.className=Z2e;Dn.prototype._attrsAffectingSize=["text","fontSize","padding","wrap","lineHeight","letterSpacing"];(0,q2e._registerNode)(Dn);fi.Factory.overWriteSetter(Dn,"width",(0,au.getNumberOrAutoValidator)());fi.Factory.overWriteSetter(Dn,"height",(0,au.getNumberOrAutoValidator)());fi.Factory.addGetterSetter(Dn,"fontFamily","Arial");fi.Factory.addGetterSetter(Dn,"fontSize",12,(0,au.getNumberValidator)());fi.Factory.addGetterSetter(Dn,"fontStyle",gz);fi.Factory.addGetterSetter(Dn,"fontVariant",gz);fi.Factory.addGetterSetter(Dn,"padding",0,(0,au.getNumberValidator)());fi.Factory.addGetterSetter(Dn,"align",pz);fi.Factory.addGetterSetter(Dn,"verticalAlign",J2e);fi.Factory.addGetterSetter(Dn,"lineHeight",1,(0,au.getNumberValidator)());fi.Factory.addGetterSetter(Dn,"wrap",rwe);fi.Factory.addGetterSetter(Dn,"ellipsis",!1,(0,au.getBooleanValidator)());fi.Factory.addGetterSetter(Dn,"letterSpacing",0,(0,au.getNumberValidator)());fi.Factory.addGetterSetter(Dn,"text","",(0,au.getStringValidator)());fi.Factory.addGetterSetter(Dn,"textDecoration","");var CS={};Object.defineProperty(CS,"__esModule",{value:!0});CS.TextPath=void 0;const Vx=Sn,is=nt,cwe=rr,Jh=Hf,jx=uc,yz=ke,dwe=rt;var fwe="",vz="normal";function _z(e){e.fillText(this.partialText,0,0)}function bz(e){e.strokeText(this.partialText,0,0)}class ir extends cwe.Shape{constructor(t){super(t),this.dummyCanvas=Vx.Util.createCanvasElement(),this.dataArray=[],this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute(),this._setTextData()}),this.on("textChange.konva alignChange.konva letterSpacingChange.konva kerningFuncChange.konva fontSizeChange.konva fontFamilyChange.konva",this._setTextData),this._setTextData()}_getTextPathLength(){return Jh.Path.getPathLength(this.dataArray)}_getPointAtLength(t){if(!this.attrs.data)return null;const n=this.pathLength;return t-1>n?null:Jh.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=Jh.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var s=0;s<o.length;s++){t.save();var a=o[s].p0;t.translate(a.x,a.y),t.rotate(o[s].rotation),this.partialText=o[s].text,t.fillStrokeShape(this),n==="underline"&&(s===0&&t.moveTo(0,i/2+1),t.lineTo(i,i/2+1)),t.restore()}n==="underline"&&(t.strokeStyle=r,t.lineWidth=i/20,t.stroke()),t.restore()}_hitFunc(t){t.beginPath();var n=this.glyphInfo;if(n.length>=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;i<n.length;i++){var o=n[i].p1;t.lineTo(o.x,o.y)}t.setAttr("lineWidth",this.fontSize()),t.setAttr("strokeStyle",this.colorKey),t.stroke()}getTextWidth(){return this.textWidth}getTextHeight(){return Vx.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}setText(t){return jx.Text.prototype.setText.call(this,t)}_getContextFont(){return jx.Text.prototype._getContextFont.call(this)}_getTextSize(t){var n=this.dummyCanvas,r=n.getContext("2d");r.save(),r.font=this._getContextFont();var i=r.measureText(t);return r.restore(),{width:i.width,height:parseInt(`${this.fontSize()}`,10)}}_setTextData(){const{width:t,height:n}=this._getTextSize(this.attrs.text);if(this.textWidth=t,this.textHeight=n,this.glyphInfo=[],!this.attrs.data)return null;const r=this.letterSpacing(),i=this.align(),o=this.kerningFunc(),s=Math.max(this.textWidth+((this.attrs.text||"").length-1)*r,0);let a=0;i==="center"&&(a=Math.max(0,this.pathLength/2-s/2)),i==="right"&&(a=Math.max(0,this.pathLength-s));const l=(0,jx.stringToArray)(this.text());let u=a;for(var d=0;d<l.length;d++){const f=this._getPointAtLength(u);if(!f)return;let p=this._getTextSize(l[d]).width+r;if(l[d]===" "&&i==="justify"){const b=this.text().split(" ").length-1;p+=(this.pathLength-s)/b}const g=this._getPointAtLength(u+p);if(!g)return;const m=Jh.Path.getLineLength(f.x,f.y,g.x,g.y);let v=0;if(o)try{v=o(l[d-1],l[d])*this.fontSize()}catch{v=0}f.x+=v,g.x+=v,this.textWidth+=v;const x=Jh.Path.getPointOnLine(v+m/2,f.x,f.y,g.x,g.y),_=Math.atan2(g.y-f.y,g.x-f.x);this.glyphInfo.push({transposeX:x.x,transposeY:x.y,text:l[d],rotation:_,p0:f,p1:g}),u+=p}}getSelfRect(){if(!this.glyphInfo.length)return{x:0,y:0,width:0,height:0};var t=[];this.glyphInfo.forEach(function(d){t.push(d.p0.x),t.push(d.p0.y),t.push(d.p1.x),t.push(d.p1.y)});for(var n=t[0]||0,r=t[0]||0,i=t[1]||0,o=t[1]||0,s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],n=Math.min(n,s),r=Math.max(r,s),i=Math.min(i,a),o=Math.max(o,a);var u=this.fontSize();return{x:n-u/2,y:i-u/2,width:r-n+u,height:o-i+u}}destroy(){return Vx.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}CS.TextPath=ir;ir.prototype._fillFunc=_z;ir.prototype._strokeFunc=bz;ir.prototype._fillFuncHit=_z;ir.prototype._strokeFuncHit=bz;ir.prototype.className="TextPath";ir.prototype._attrsAffectingSize=["text","fontSize","data"];(0,dwe._registerNode)(ir);is.Factory.addGetterSetter(ir,"data");is.Factory.addGetterSetter(ir,"fontFamily","Arial");is.Factory.addGetterSetter(ir,"fontSize",12,(0,yz.getNumberValidator)());is.Factory.addGetterSetter(ir,"fontStyle",vz);is.Factory.addGetterSetter(ir,"align","left");is.Factory.addGetterSetter(ir,"letterSpacing",0,(0,yz.getNumberValidator)());is.Factory.addGetterSetter(ir,"textBaseline","middle");is.Factory.addGetterSetter(ir,"fontVariant",vz);is.Factory.addGetterSetter(ir,"text",fwe);is.Factory.addGetterSetter(ir,"textDecoration",null);is.Factory.addGetterSetter(ir,"kerningFunc",null);var TS={};Object.defineProperty(TS,"__esModule",{value:!0});TS.Transformer=void 0;const zt=Sn,Ft=nt,ik=fn,hwe=rr,pwe=km,ok=jf,$o=rt,lu=ke,gwe=rt;var Sz="tr-konva",mwe=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${Sz}`).join(" "),sk="nodesRect",ywe=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],vwe={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const _we="ontouchstart"in $o.Konva._global;function bwe(e,t){if(e==="rotater")return"crosshair";t+=zt.Util.degToRad(vwe[e]||0);var n=(zt.Util.radToDeg(t)%360+360)%360;return zt.Util._inRange(n,315+22.5,360)||zt.Util._inRange(n,0,22.5)?"ns-resize":zt.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":zt.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":zt.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":zt.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":zt.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":zt.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":zt.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(zt.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var e_=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],ak=1e8;function Swe(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function wz(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function wwe(e,t){const n=Swe(e);return wz(e,t,n)}function xwe(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=$o.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class Ct extends ok.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(mwe,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return zt.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return Sz+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(zt.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(ywe.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(sk),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(sk,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=($o.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),d={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return wz(d,-$o.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-ak,y:-ak,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const d=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var f=[{x:d.x,y:d.y},{x:d.x+d.width,y:d.y},{x:d.x+d.width,y:d.y+d.height},{x:d.x,y:d.y+d.height}],p=u.getAbsoluteTransform();f.forEach(function(g){var m=p.point(g);n.push(m)})});const r=new zt.Transform;r.rotate(-$o.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var d=r.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:$o.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),e_.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new pwe.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:_we?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=$o.Konva.getAngle(this.rotation()),o=bwe(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new hwe.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*zt.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const d=o.getAbsolutePosition();if(!(u.x===d.x&&u.y===d.y)){if(this._movingAnchorName==="rotater"){var f=this._getNodeRect();n=o.x()-f.width/2,r=-o.y()+f.height/2;let U=Math.atan2(-r,n)+Math.PI/2;f.height<0&&(U-=Math.PI);var p=$o.Konva.getAngle(this.rotation());const A=p+U,N=$o.Konva.getAngle(this.rotationSnapTolerance()),B=xwe(this.rotationSnaps(),A,N)-f.rotation,D=wwe(f,B);this._fitNodesInto(D,t);return}var g=this.shiftBehavior(),m;g==="inverted"?m=this.keepRatio()&&!t.shiftKey:g==="none"?m=this.keepRatio():m=this.keepRatio()||t.shiftKey;var y=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(v.x-o.x(),2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-left").x()>v.x?-1:1,_=this.findOne(".top-left").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-left").x(v.x-n),this.findOne(".top-left").y(v.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-v.x,2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-right").x()<v.x?-1:1,_=this.findOne(".top-right").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-right").x(v.x+n),this.findOne(".top-right").y(v.y-r)}var b=o.position();this.findOne(".top-left").y(b.y),this.findOne(".bottom-right").x(b.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(v.x-o.x(),2)+Math.pow(o.y()-v.y,2));var x=v.x<o.x()?-1:1,_=o.y()<v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,o.x(v.x-n),o.y(v.y+r)}b=o.position(),this.findOne(".top-left").x(b.x),this.findOne(".bottom-right").y(b.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-v.x,2)+Math.pow(o.y()-v.y,2));var x=this.findOne(".bottom-right").x()<v.x?-1:1,_=this.findOne(".bottom-right").y()<v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".bottom-right").x(v.x+n),this.findOne(".bottom-right").y(v.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var y=this.centeredScaling()||t.altKey;if(y){var S=this.findOne(".top-left"),C=this.findOne(".bottom-right"),T=S.x(),E=S.y(),P=this.getWidth()-C.x(),k=this.getHeight()-C.y();C.move({x:-T,y:-E}),S.move({x:P,y:k})}var O=this.findOne(".top-left").getAbsolutePosition();n=O.x,r=O.y;var M=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),G=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:M,height:G,rotation:$o.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(zt.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(zt.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new zt.Transform;if(s.rotate($o.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const f=s.point({x:-this.padding()*2,y:0});if(t.x+=f.x,t.y+=f.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const f=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const f=s.point({x:0,y:-this.padding()*2});if(t.x+=f.x,t.y+=f.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const f=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const f=this.boundBoxFunc()(r,t);f?t=f:zt.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new zt.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new zt.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const d=u.multiply(l.invert());this._nodes.forEach(f=>{var p;const g=f.getParent().getAbsoluteTransform(),m=f.getTransform().copy();m.translate(f.offsetX(),f.offsetY());const v=new zt.Transform;v.multiply(g.copy().invert()).multiply(d).multiply(g).multiply(m);const x=v.decompose();f.setAttrs(x),this._fire("transform",{evt:n,target:f}),f._fire("transform",{evt:n,target:f}),(p=f.getLayer())===null||p===void 0||p.batchDraw()}),this.rotation(zt.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(zt.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(f=>{f.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*zt.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const d=this.anchorStyleFunc();d&&u.forEach(f=>{d(f)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),ok.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return ik.Node.prototype.toObject.call(this)}clone(t){var n=ik.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}TS.Transformer=Ct;function Cwe(e){return e instanceof Array||zt.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){e_.indexOf(t)===-1&&zt.Util.warn("Unknown anchor name: "+t+". Available names are: "+e_.join(", "))}),e||[]}Ct.prototype.className="Transformer";(0,gwe._registerNode)(Ct);Ft.Factory.addGetterSetter(Ct,"enabledAnchors",e_,Cwe);Ft.Factory.addGetterSetter(Ct,"flipEnabled",!0,(0,lu.getBooleanValidator)());Ft.Factory.addGetterSetter(Ct,"resizeEnabled",!0);Ft.Factory.addGetterSetter(Ct,"anchorSize",10,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"rotateEnabled",!0);Ft.Factory.addGetterSetter(Ct,"rotationSnaps",[]);Ft.Factory.addGetterSetter(Ct,"rotateAnchorOffset",50,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"rotationSnapTolerance",5,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderEnabled",!0);Ft.Factory.addGetterSetter(Ct,"anchorStroke","rgb(0, 161, 255)");Ft.Factory.addGetterSetter(Ct,"anchorStrokeWidth",1,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"anchorFill","white");Ft.Factory.addGetterSetter(Ct,"anchorCornerRadius",0,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderStroke","rgb(0, 161, 255)");Ft.Factory.addGetterSetter(Ct,"borderStrokeWidth",1,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderDash");Ft.Factory.addGetterSetter(Ct,"keepRatio",!0);Ft.Factory.addGetterSetter(Ct,"shiftBehavior","default");Ft.Factory.addGetterSetter(Ct,"centeredScaling",!1);Ft.Factory.addGetterSetter(Ct,"ignoreStroke",!1);Ft.Factory.addGetterSetter(Ct,"padding",0,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"node");Ft.Factory.addGetterSetter(Ct,"nodes");Ft.Factory.addGetterSetter(Ct,"boundBoxFunc");Ft.Factory.addGetterSetter(Ct,"anchorDragBoundFunc");Ft.Factory.addGetterSetter(Ct,"anchorStyleFunc");Ft.Factory.addGetterSetter(Ct,"shouldOverdrawWholeArea",!1);Ft.Factory.addGetterSetter(Ct,"useSingleNodeRotation",!0);Ft.Factory.backCompat(Ct,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var ES={};Object.defineProperty(ES,"__esModule",{value:!0});ES.Wedge=void 0;const AS=nt,Twe=rr,Ewe=rt,xz=ke,Awe=rt;class za extends Twe.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,Ewe.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}ES.Wedge=za;za.prototype.className="Wedge";za.prototype._centroid=!0;za.prototype._attrsAffectingSize=["radius"];(0,Awe._registerNode)(za);AS.Factory.addGetterSetter(za,"radius",0,(0,xz.getNumberValidator)());AS.Factory.addGetterSetter(za,"angle",0,(0,xz.getNumberValidator)());AS.Factory.addGetterSetter(za,"clockwise",!1);AS.Factory.backCompat(za,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var PS={};Object.defineProperty(PS,"__esModule",{value:!0});PS.Blur=void 0;const lk=nt,Pwe=fn,Rwe=ke;function uk(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var Owe=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],kwe=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function Iwe(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,d,f,p,g,m,v,x,_,b,y,S,C,T,E,P,k,O,M,G,U=t+t+1,A=r-1,N=i-1,F=t+1,B=F*(F+1)/2,D=new uk,V=null,j=D,q=null,Z=null,ee=Owe[t],ie=kwe[t];for(a=1;a<U;a++)j=j.next=new uk,a===F&&(V=j);for(j.next=D,f=d=0,s=0;s<i;s++){for(S=C=T=E=p=g=m=v=0,x=F*(P=n[d]),_=F*(k=n[d+1]),b=F*(O=n[d+2]),y=F*(M=n[d+3]),p+=B*P,g+=B*k,m+=B*O,v+=B*M,j=D,a=0;a<F;a++)j.r=P,j.g=k,j.b=O,j.a=M,j=j.next;for(a=1;a<F;a++)l=d+((A<a?A:a)<<2),p+=(j.r=P=n[l])*(G=F-a),g+=(j.g=k=n[l+1])*G,m+=(j.b=O=n[l+2])*G,v+=(j.a=M=n[l+3])*G,S+=P,C+=k,T+=O,E+=M,j=j.next;for(q=D,Z=V,o=0;o<r;o++)n[d+3]=M=v*ee>>ie,M!==0?(M=255/M,n[d]=(p*ee>>ie)*M,n[d+1]=(g*ee>>ie)*M,n[d+2]=(m*ee>>ie)*M):n[d]=n[d+1]=n[d+2]=0,p-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=f+((l=o+t+1)<A?l:A)<<2,S+=q.r=n[l],C+=q.g=n[l+1],T+=q.b=n[l+2],E+=q.a=n[l+3],p+=S,g+=C,m+=T,v+=E,q=q.next,x+=P=Z.r,_+=k=Z.g,b+=O=Z.b,y+=M=Z.a,S-=P,C-=k,T-=O,E-=M,Z=Z.next,d+=4;f+=r}for(o=0;o<r;o++){for(C=T=E=S=g=m=v=p=0,d=o<<2,x=F*(P=n[d]),_=F*(k=n[d+1]),b=F*(O=n[d+2]),y=F*(M=n[d+3]),p+=B*P,g+=B*k,m+=B*O,v+=B*M,j=D,a=0;a<F;a++)j.r=P,j.g=k,j.b=O,j.a=M,j=j.next;for(u=r,a=1;a<=t;a++)d=u+o<<2,p+=(j.r=P=n[d])*(G=F-a),g+=(j.g=k=n[d+1])*G,m+=(j.b=O=n[d+2])*G,v+=(j.a=M=n[d+3])*G,S+=P,C+=k,T+=O,E+=M,j=j.next,a<N&&(u+=r);for(d=o,q=D,Z=V,s=0;s<i;s++)l=d<<2,n[l+3]=M=v*ee>>ie,M>0?(M=255/M,n[l]=(p*ee>>ie)*M,n[l+1]=(g*ee>>ie)*M,n[l+2]=(m*ee>>ie)*M):n[l]=n[l+1]=n[l+2]=0,p-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=o+((l=s+F)<N?l:N)*r<<2,p+=S+=q.r=n[l],g+=C+=q.g=n[l+1],m+=T+=q.b=n[l+2],v+=E+=q.a=n[l+3],q=q.next,x+=P=Z.r,_+=k=Z.g,b+=O=Z.b,y+=M=Z.a,S-=P,C-=k,T-=O,E-=M,Z=Z.next,d+=r}}const Mwe=function(t){var n=Math.round(this.blurRadius());n>0&&Iwe(t,n)};PS.Blur=Mwe;lk.Factory.addGetterSetter(Pwe.Node,"blurRadius",0,(0,Rwe.getNumberValidator)(),lk.Factory.afterSetFilter);var RS={};Object.defineProperty(RS,"__esModule",{value:!0});RS.Brighten=void 0;const ck=nt,Nwe=fn,Lwe=ke,Dwe=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};RS.Brighten=Dwe;ck.Factory.addGetterSetter(Nwe.Node,"brightness",0,(0,Lwe.getNumberValidator)(),ck.Factory.afterSetFilter);var OS={};Object.defineProperty(OS,"__esModule",{value:!0});OS.Contrast=void 0;const dk=nt,$we=fn,Fwe=ke,Bwe=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};OS.Contrast=Bwe;dk.Factory.addGetterSetter($we.Node,"contrast",0,(0,Fwe.getNumberValidator)(),dk.Factory.afterSetFilter);var kS={};Object.defineProperty(kS,"__esModule",{value:!0});kS.Emboss=void 0;const ql=nt,IS=fn,Uwe=Sn,Cz=ke,zwe=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,d=l*4,f=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:Uwe.Util.error("Unknown emboss direction: "+r)}do{var p=(f-1)*d,g=o;f+g<1&&(g=0),f+g>u&&(g=0);var m=(f-1+g)*l*4,v=l;do{var x=p+(v-1)*4,_=s;v+_<1&&(_=0),v+_>l&&(_=0);var b=m+(v-1+_)*4,y=a[x]-a[b],S=a[x+1]-a[b+1],C=a[x+2]-a[b+2],T=y,E=T>0?T:-T,P=S>0?S:-S,k=C>0?C:-C;if(P>E&&(T=S),k>E&&(T=C),T*=t,i){var O=a[x]+T,M=a[x+1]+T,G=a[x+2]+T;a[x]=O>255?255:O<0?0:O,a[x+1]=M>255?255:M<0?0:M,a[x+2]=G>255?255:G<0?0:G}else{var U=n-T;U<0?U=0:U>255&&(U=255),a[x]=a[x+1]=a[x+2]=U}}while(--v)}while(--f)};kS.Emboss=zwe;ql.Factory.addGetterSetter(IS.Node,"embossStrength",.5,(0,Cz.getNumberValidator)(),ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossWhiteLevel",.5,(0,Cz.getNumberValidator)(),ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossDirection","top-left",null,ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossBlend",!1,null,ql.Factory.afterSetFilter);var MS={};Object.defineProperty(MS,"__esModule",{value:!0});MS.Enhance=void 0;const fk=nt,Vwe=fn,jwe=ke;function Gx(e,t,n,r,i){var o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const Gwe=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],d=u,f,p,g=this.enhance();if(g!==0){for(p=0;p<n;p+=4)o=t[p+0],o<r?r=o:o>i&&(i=o),l=t[p+1],l<s?s=l:l>a&&(a=l),f=t[p+2],f<u?u=f:f>d&&(d=f);i===r&&(i=255,r=0),a===s&&(a=255,s=0),d===u&&(d=255,u=0);var m,v,x,_,b,y,S,C,T;for(g>0?(v=i+g*(255-i),x=r-g*(r-0),b=a+g*(255-a),y=s-g*(s-0),C=d+g*(255-d),T=u-g*(u-0)):(m=(i+r)*.5,v=i+g*(i-m),x=r+g*(r-m),_=(a+s)*.5,b=a+g*(a-_),y=s+g*(s-_),S=(d+u)*.5,C=d+g*(d-S),T=u+g*(u-S)),p=0;p<n;p+=4)t[p+0]=Gx(t[p+0],r,i,x,v),t[p+1]=Gx(t[p+1],s,a,y,b),t[p+2]=Gx(t[p+2],u,d,T,C)}};MS.Enhance=Gwe;fk.Factory.addGetterSetter(Vwe.Node,"enhance",0,(0,jwe.getNumberValidator)(),fk.Factory.afterSetFilter);var NS={};Object.defineProperty(NS,"__esModule",{value:!0});NS.Grayscale=void 0;const Hwe=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};NS.Grayscale=Hwe;var LS={};Object.defineProperty(LS,"__esModule",{value:!0});LS.HSL=void 0;const Of=nt,PE=fn,RE=ke;Of.Factory.addGetterSetter(PE.Node,"hue",0,(0,RE.getNumberValidator)(),Of.Factory.afterSetFilter);Of.Factory.addGetterSetter(PE.Node,"saturation",0,(0,RE.getNumberValidator)(),Of.Factory.afterSetFilter);Of.Factory.addGetterSetter(PE.Node,"luminance",0,(0,RE.getNumberValidator)(),Of.Factory.afterSetFilter);const Wwe=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s=this.luminance()*127,a,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),d=.299*r+.701*l+.167*u,f=.587*r-.587*l+.33*u,p=.114*r-.114*l-.497*u,g=.299*r-.299*l-.328*u,m=.587*r+.413*l+.035*u,v=.114*r-.114*l+.293*u,x=.299*r-.3*l+1.25*u,_=.587*r-.586*l-1.05*u,b=.114*r+.886*l-.2*u,y,S,C,T;for(a=0;a<n;a+=4)y=t[a+0],S=t[a+1],C=t[a+2],T=t[a+3],t[a+0]=d*y+f*S+p*C+s,t[a+1]=g*y+m*S+v*C+s,t[a+2]=x*y+_*S+b*C+s,t[a+3]=T};LS.HSL=Wwe;var DS={};Object.defineProperty(DS,"__esModule",{value:!0});DS.HSV=void 0;const kf=nt,OE=fn,kE=ke,qwe=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,d=.587*r-.587*a+.33*l,f=.114*r-.114*a-.497*l,p=.299*r-.299*a-.328*l,g=.587*r+.413*a+.035*l,m=.114*r-.114*a+.293*l,v=.299*r-.3*a+1.25*l,x=.587*r-.586*a-1.05*l,_=.114*r+.886*a-.2*l,b,y,S,C;for(s=0;s<n;s+=4)b=t[s+0],y=t[s+1],S=t[s+2],C=t[s+3],t[s+0]=u*b+d*y+f*S,t[s+1]=p*b+g*y+m*S,t[s+2]=v*b+x*y+_*S,t[s+3]=C};DS.HSV=qwe;kf.Factory.addGetterSetter(OE.Node,"hue",0,(0,kE.getNumberValidator)(),kf.Factory.afterSetFilter);kf.Factory.addGetterSetter(OE.Node,"saturation",0,(0,kE.getNumberValidator)(),kf.Factory.afterSetFilter);kf.Factory.addGetterSetter(OE.Node,"value",0,(0,kE.getNumberValidator)(),kf.Factory.afterSetFilter);var $S={};Object.defineProperty($S,"__esModule",{value:!0});$S.Invert=void 0;const Kwe=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};$S.Invert=Kwe;var FS={};Object.defineProperty(FS,"__esModule",{value:!0});FS.Kaleidoscope=void 0;const t_=nt,Tz=fn,hk=Sn,Ez=ke;var Xwe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,d,f,p=0,g=0,m=0,v=0,x,_=Math.sqrt(a*a+l*l);d=o-a,f=s-l,x=Math.sqrt(d*d+f*f),_=x>_?x:_;var b=s,y=o,S,C,T=360/y*Math.PI/180,E,P;for(C=0;C<y;C+=1)for(E=Math.sin(C*T),P=Math.cos(C*T),S=0;S<b;S+=1)d=Math.floor(a+_*S/b*P),f=Math.floor(l+_*S/b*E),u=(f*o+d)*4,p=r[u+0],g=r[u+1],m=r[u+2],v=r[u+3],u=(C+S*o)*4,i[u+0]=p,i[u+1]=g,i[u+2]=m,i[u+3]=v},Ywe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,d,f,p,g,m=0,v=0,x=0,_=0,b,y=Math.sqrt(a*a+l*l);d=o-a,f=s-l,b=Math.sqrt(d*d+f*f),y=b>y?b:y;var S=s,C=o,T,E,P=n.polarRotation||0,k,O;for(d=0;d<o;d+=1)for(f=0;f<s;f+=1)p=d-a,g=f-l,T=Math.sqrt(p*p+g*g)*S/y,E=(Math.atan2(g,p)*180/Math.PI+360+P)%360,E=E*C/360,k=Math.floor(E),O=Math.floor(T),u=(O*o+k)*4,m=r[u+0],v=r[u+1],x=r[u+2],_=r[u+3],u=(f*o+d)*4,i[u+0]=m,i[u+1]=v,i[u+2]=x,i[u+3]=_};const Qwe=function(e){var t=e.width,n=e.height,r,i,o,s,a,l,u,d,f,p,g=Math.round(this.kaleidoscopePower()),m=Math.round(this.kaleidoscopeAngle()),v=Math.floor(t*(m%360)/360);if(!(g<1)){var x=hk.Util.createCanvasElement();x.width=t,x.height=n;var _=x.getContext("2d").getImageData(0,0,t,n);hk.Util.releaseCanvas(x),Xwe(e,_,{polarCenterX:t/2,polarCenterY:n/2});for(var b=t/Math.pow(2,g);b<=8;)b=b*2,g-=1;b=Math.ceil(b);var y=b,S=0,C=y,T=1;for(v+b>t&&(S=y,C=0,T=-1),i=0;i<n;i+=1)for(r=S;r!==C;r+=T)o=Math.round(r+v)%t,f=(t*i+o)*4,a=_.data[f+0],l=_.data[f+1],u=_.data[f+2],d=_.data[f+3],p=(t*i+r)*4,_.data[p+0]=a,_.data[p+1]=l,_.data[p+2]=u,_.data[p+3]=d;for(i=0;i<n;i+=1)for(y=Math.floor(b),s=0;s<g;s+=1){for(r=0;r<y+1;r+=1)f=(t*i+r)*4,a=_.data[f+0],l=_.data[f+1],u=_.data[f+2],d=_.data[f+3],p=(t*i+y*2-r-1)*4,_.data[p+0]=a,_.data[p+1]=l,_.data[p+2]=u,_.data[p+3]=d;y*=2}Ywe(_,e,{polarRotation:0})}};FS.Kaleidoscope=Qwe;t_.Factory.addGetterSetter(Tz.Node,"kaleidoscopePower",2,(0,Ez.getNumberValidator)(),t_.Factory.afterSetFilter);t_.Factory.addGetterSetter(Tz.Node,"kaleidoscopeAngle",0,(0,Ez.getNumberValidator)(),t_.Factory.afterSetFilter);var BS={};Object.defineProperty(BS,"__esModule",{value:!0});BS.Mask=void 0;const pk=nt,Zwe=fn,Jwe=ke;function F0(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function ep(e,t){return Math.sqrt(Math.pow(e[0]-t[0],2)+Math.pow(e[1]-t[1],2)+Math.pow(e[2]-t[2],2))}function exe(e){for(var t=[0,0,0],n=0;n<e.length;n++)t[0]+=e[n][0],t[1]+=e[n][1],t[2]+=e[n][2];return t[0]/=e.length,t[1]/=e.length,t[2]/=e.length,t}function txe(e,t){var n=F0(e,0,0),r=F0(e,e.width-1,0),i=F0(e,0,e.height-1),o=F0(e,e.width-1,e.height-1),s=t||10;if(ep(n,r)<s&&ep(r,o)<s&&ep(o,i)<s&&ep(i,n)<s){for(var a=exe([r,n,o,i]),l=[],u=0;u<e.width*e.height;u++){var d=ep(a,[e.data[u*4],e.data[u*4+1],e.data[u*4+2]]);l[u]=d<s?0:255}return l}}function nxe(e,t){for(var n=0;n<e.width*e.height;n++)e.data[4*n+3]=t[n]}function rxe(e,t,n){for(var r=[1,1,1,1,0,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d===255*8?255:0}return s}function ixe(e,t,n){for(var r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d>=255*4?255:0}return s}function oxe(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d}return s}const sxe=function(e){var t=this.threshold(),n=txe(e,t);return n&&(n=rxe(n,e.width,e.height),n=ixe(n,e.width,e.height),n=oxe(n,e.width,e.height),nxe(e,n)),e};BS.Mask=sxe;pk.Factory.addGetterSetter(Zwe.Node,"threshold",0,(0,Jwe.getNumberValidator)(),pk.Factory.afterSetFilter);var 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r=t[n],i=n===t.length-1;ME(r,this.supportsBinary,o=>{const s={};try{Ok&&this.ws.send(o)}catch{}i&&DE(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){typeof this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){const t=this.opts.secure?"wss":"ws",n=this.query||{};return this.opts.timestampRequests&&(n[this.opts.timestampParam]=Bz()),this.supportsBinary||(n.b64=1),this.createUri(t,n)}check(){return!!z0}}function f3e(e,t){return e.type==="message"&&typeof e.data!="string"&&t[0]>=48&&t[0]<=54}class h3e extends LE{get name(){return"webtransport"}doOpen(){typeof WebTransport=="function"&&(this.transport=new WebTransport(this.createUri("https"),this.opts.transportOptions[this.name]),this.transport.closed.then(()=>{this.onClose()}).catch(t=>{this.onError("webtransport error",t)}),this.transport.ready.then(()=>{this.transport.createBidirectionalStream().then(t=>{const n=t.readable.getReader();this.writer=t.writable.getWriter();let r;const i=()=>{n.read().then(({done:s,value:a})=>{s||(!r&&a.byteLength===1&&a[0]===54?r=!0:(this.onPacket(XCe(a,r,"arraybuffer")),r=!1),i())}).catch(s=>{})};i();const o=this.query.sid?`0{"sid":"${this.query.sid}"}`:"0";this.writer.write(new TextEncoder().encode(o)).then(()=>this.onOpen())})}))}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;jCe(r,o=>{f3e(r,o)&&this.writer.write(Uint8Array.of(54)),this.writer.write(o).then(()=>{i&&DE(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})})}}doClose(){var t;(t=this.transport)===null||t===void 0||t.close()}}const p3e={websocket:d3e,webtransport:h3e,polling:u3e},g3e=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,m3e=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function p5(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=g3e.exec(e||""),o={},s=14;for(;s--;)o[m3e[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=y3e(o,o.path),o.queryKey=v3e(o,o.query),o}function y3e(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function v3e(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let Vz=class Sd extends Hn{constructor(t,n={}){super(),this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=p5(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=p5(n.host).host),YS(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=r3e(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=Dz,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new p3e[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Sd.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;Sd.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",f=>{if(!r)if(f.type==="pong"&&f.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;Sd.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(d(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const p=new Error("probe error");p.transport=n.name,this.emitReserved("upgradeError",p)}}))};function o(){r||(r=!0,d(),n.close(),n=null)}const s=f=>{const p=new Error("probe error: "+f);p.transport=n.name,o(),this.emitReserved("upgradeError",p)};function a(){s("transport closed")}function l(){s("socket closed")}function u(f){n&&f.name!==n.name&&o()}const d=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",Sd.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=e3e(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){Sd.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};Vz.protocol=Dz;function _3e(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=p5(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const b3e=typeof ArrayBuffer=="function",S3e=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,jz=Object.prototype.toString,w3e=typeof Blob=="function"||typeof Blob<"u"&&jz.call(Blob)==="[object BlobConstructor]",x3e=typeof File=="function"||typeof File<"u"&&jz.call(File)==="[object FileConstructor]";function $E(e){return b3e&&(e instanceof ArrayBuffer||S3e(e))||w3e&&e instanceof Blob||x3e&&e instanceof File}function xv(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(xv(e[n]))return!0;return!1}if($E(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return xv(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&xv(e[n]))return!0;return!1}function C3e(e){const t=[],n=e.data,r=e;return r.data=g5(n,t),r.attachments=t.length,{packet:r,buffers:t}}function g5(e,t){if(!e)return e;if($E(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=g5(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=g5(e[r],t));return n}return e}function T3e(e,t){return e.data=m5(e.data,t),delete e.attachments,e}function m5(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=m5(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=m5(e[n],t));return e}const E3e=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],A3e=5;var pt;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(pt||(pt={}));class P3e{constructor(t){this.replacer=t}encode(t){return(t.type===pt.EVENT||t.type===pt.ACK)&&xv(t)?this.encodeAsBinary({type:t.type===pt.EVENT?pt.BINARY_EVENT:pt.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===pt.BINARY_EVENT||t.type===pt.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=C3e(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function Ik(e){return Object.prototype.toString.call(e)==="[object Object]"}class FE extends Hn{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===pt.BINARY_EVENT;r||n.type===pt.BINARY_ACK?(n.type=r?pt.EVENT:pt.ACK,this.reconstructor=new R3e(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if($E(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(pt[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===pt.BINARY_EVENT||r.type===pt.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(FE.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case pt.CONNECT:return Ik(n);case pt.DISCONNECT:return n===void 0;case pt.CONNECT_ERROR:return typeof n=="string"||Ik(n);case pt.EVENT:case pt.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&E3e.indexOf(n[0])===-1);case pt.ACK:case pt.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class R3e{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=T3e(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const O3e=Object.freeze(Object.defineProperty({__proto__:null,Decoder:FE,Encoder:P3e,get PacketType(){return pt},protocol:A3e},Symbol.toStringTag,{value:"Module"}));function zo(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const k3e=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class Gz extends Hn{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[zo(t,"open",this.onopen.bind(this)),zo(t,"packet",this.onpacket.bind(this)),zo(t,"error",this.onerror.bind(this)),zo(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(k3e.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:pt.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:pt.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case pt.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case pt.EVENT:case pt.BINARY_EVENT:this.onevent(t);break;case pt.ACK:case pt.BINARY_ACK:this.onack(t);break;case pt.DISCONNECT:this.ondisconnect();break;case pt.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:pt.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:pt.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const n=this._anyOutgoingListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const n=this._anyOutgoingListeners.slice();for(const r of n)r.apply(this,t.data)}}}function Kf(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}Kf.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),n=Math.floor(t*this.jitter*e);e=Math.floor(t*10)&1?e+n:e-n}return Math.min(e,this.max)|0};Kf.prototype.reset=function(){this.attempts=0};Kf.prototype.setMin=function(e){this.ms=e};Kf.prototype.setMax=function(e){this.max=e};Kf.prototype.setJitter=function(e){this.jitter=e};class y5 extends Hn{constructor(t,n){var r;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(n=t,t=void 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r=this.setTimeoutFn(()=>{t.skipReconnect||(this.emitReserved("reconnect_attempt",t.backoff.attempts),!t.skipReconnect&&t.open(i=>{i?(t._reconnecting=!1,t.reconnect(),this.emitReserved("reconnect_error",i)):t.onreconnect()}))},n);this.opts.autoUnref&&r.unref(),this.subs.push(()=>{this.clearTimeoutFn(r)})}}onreconnect(){const t=this.backoff.attempts;this._reconnecting=!1,this.backoff.reset(),this.emitReserved("reconnect",t)}}const np={};function Cv(e,t){typeof e=="object"&&(t=e,e=void 0),t=t||{};const n=_3e(e,t.path||"/socket.io"),r=n.source,i=n.id,o=n.path,s=np[i]&&o in np[i].nsps,a=t.forceNew||t["force new connection"]||t.multiplex===!1||s;let l;return a?l=new y5(r,t):(np[i]||(np[i]=new y5(r,t)),l=np[i]),n.query&&!t.query&&(t.query=n.queryKey),l.socket(n.path,t)}Object.assign(Cv,{Manager:y5,Socket:Gz,io:Cv,connect:Cv});const Mk=()=>{let e=!1,n=`${window.location.protocol==="https:"?"wss":"ws"}://${window.location.host}`;const 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r=this.isDragging;if(this.cancel(),!r)return;const{velocity:i}=n;this.startAnimation(i);const{onDragEnd:o}=this.getProps();o&&dn.update(()=>o(t,n))}cancel(){this.isDragging=!1;const{projection:t,animationState:n}=this.visualElement;t&&(t.isAnimationBlocked=!1),this.panSession&&this.panSession.end(),this.panSession=void 0;const{dragPropagation:r}=this.getProps();!r&&this.openGlobalLock&&(this.openGlobalLock(),this.openGlobalLock=null),n&&n.setActive("whileDrag",!1)}updateAxis(t,n,r){const{drag:i}=this.getProps();if(!r||!q0(t,i,this.currentDirection))return;const o=this.getAxisMotionValue(t);let s=this.originPoint[t]+r[t];this.constraints&&this.constraints[t]&&(s=Q6e(s,this.constraints[t],this.elastic[t])),o.set(s)}resolveConstraints(){const{dragConstraints:t,dragElastic:n}=this.getProps(),{layout:r}=this.visualElement.projection||{},i=this.constraints;t&&$d(t)?this.constraints||(this.constraints=this.resolveRefConstraints()):t&&r?this.constraints=Z6e(r.layoutBox,t):this.constraints=!1,this.elastic=nAe(n),i!==this.constraints&&r&&this.constraints&&!this.hasMutatedConstraints&&ps(o=>{this.getAxisMotionValue(o)&&(this.constraints[o]=tAe(r.layoutBox[o],this.constraints[o]))})}resolveRefConstraints(){const{dragConstraints:t,onMeasureDragConstraints:n}=this.getProps();if(!t||!$d(t))return!1;const r=t.current,{projection:i}=this.visualElement;if(!i||!i.layout)return!1;const o=lAe(r,i.root,this.visualElement.getTransformPagePoint());let s=J6e(i.layout.layoutBox,o);if(n){const a=n(rAe(s));this.hasMutatedConstraints=!!a,a&&(s=xj(a))}return s}startAnimation(t){const{drag:n,dragMomentum:r,dragElastic:i,dragTransition:o,dragSnapToOrigin:s,onDragTransitionEnd:a}=this.getProps(),l=this.constraints||{},u=ps(d=>{if(!q0(d,n,this.currentDirection))return;let f=l&&l[d]||{};s&&(f={min:0,max:0});const p=i?200:1e6,g=i?40:1e7,m={type:"inertia",velocity:r?t[d]:0,bounceStiffness:p,bounceDamping:g,timeConstant:750,restDelta:1,restSpeed:10,...o,...f};return this.startAxisValueAnimation(d,m)});return Promise.all(u).then(a)}startAxisValueAnimation(t,n){const r=this.getAxisMotionValue(t);return r.start(u6(t,r,0,n))}stopAnimation(){ps(t=>this.getAxisMotionValue(t).stop())}getAxisMotionValue(t){const n="_drag"+t.toUpperCase(),r=this.visualElement.getProps(),i=r[n];return i||this.visualElement.getValue(t,(r.initial?r.initial[t]:void 0)||0)}snapToCursor(t){ps(n=>{const{drag:r}=this.getProps();if(!q0(n,r,this.currentDirection))return;const{projection:i}=this.visualElement,o=this.getAxisMotionValue(n);if(i&&i.layout){const{min:s,max:a}=i.layout.layoutBox[n];o.set(t[n]-vn(s,a,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!$d(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};ps(s=>{const a=this.getAxisMotionValue(s);if(a){const l=a.get();i[s]=eAe({min:l,max:l},this.constraints[s])}});const{transformTemplate:o}=this.visualElement.getProps();this.visualElement.current.style.transform=o?o({},""):"none",r.root&&r.root.updateScroll(),r.updateLayout(),this.resolveConstraints(),ps(s=>{if(!q0(s,t,null))return;const a=this.getAxisMotionValue(s),{min:l,max:u}=this.constraints[s];a.set(vn(l,u,i[s]))})}addListeners(){if(!this.visualElement.current)return;uAe.set(this.visualElement,this);const t=this.visualElement.current,n=wa(t,"pointerdown",l=>{const{drag:u,dragListener:d=!0}=this.getProps();u&&d&&this.start(l)}),r=()=>{const{dragConstraints:l}=this.getProps();$d(l)&&(this.constraints=this.resolveRefConstraints())},{projection:i}=this.visualElement,o=i.addEventListener("measure",r);i&&!i.layout&&(i.root&&i.root.updateScroll(),i.updateLayout()),r();const s=ya(window,"resize",()=>this.scalePositionWithinConstraints()),a=i.addEventListener("didUpdate",({delta:l,hasLayoutChanged:u})=>{this.isDragging&&u&&(ps(d=>{const f=this.getAxisMotionValue(d);f&&(this.originPoint[d]+=l[d].translate,f.set(f.get()+l[d].translate))}),this.visualElement.render())});return()=>{s(),n(),o(),a&&a()}}getProps(){const t=this.visualElement.getProps(),{drag:n=!1,dragDirectionLock:r=!1,dragPropagation:i=!1,dragConstraints:o=!1,dragElastic:s=L5,dragMomentum:a=!0}=t;return{...t,drag:n,dragDirectionLock:r,dragPropagation:i,dragConstraints:o,dragElastic:s,dragMomentum:a}}}function q0(e,t,n){return(t===!0||t===e)&&(n===null||n===e)}function dAe(e,t=10){let n=null;return Math.abs(e.y)>t?n="y":Math.abs(e.x)>t&&(n="x"),n}class fAe extends uu{constructor(t){super(t),this.removeGroupControls=Gn,this.removeListeners=Gn,this.controls=new cAe(t)}mount(){const{dragControls:t}=this.node.getProps();t&&(this.removeGroupControls=t.subscribe(this.controls)),this.removeListeners=this.controls.addListeners()||Gn}unmount(){this.removeGroupControls(),this.removeListeners()}}const II=e=>(t,n)=>{e&&dn.update(()=>e(t,n))};class hAe extends uu{constructor(){super(...arguments),this.removePointerDownListener=Gn}onPointerDown(t){this.session=new Sj(t,this.createPanHandlers(),{transformPagePoint:this.node.getTransformPagePoint()})}createPanHandlers(){const{onPanSessionStart:t,onPanStart:n,onPan:r,onPanEnd:i}=this.node.getProps();return{onSessionStart:II(t),onStart:II(n),onMove:r,onEnd:(o,s)=>{delete this.session,i&&dn.update(()=>i(o,s))}}}mount(){this.removePointerDownListener=wa(this.node.current,"pointerdown",t=>this.onPointerDown(t))}update(){this.session&&this.session.updateHandlers(this.createPanHandlers())}unmount(){this.removePointerDownListener(),this.session&&this.session.end()}}function pAe(){const e=L.useContext(Lm);if(e===null)return[!0,null];const{isPresent:t,onExitComplete:n,register:r}=e,i=L.useId();return L.useEffect(()=>r(i),[]),!t&&n?[!1,()=>n&&n(i)]:[!0]}function EMe(){return gAe(L.useContext(Lm))}function gAe(e){return e===null?!0:e.isPresent}const kv={hasAnimatedSinceResize:!0,hasEverUpdated:!1};function MI(e,t){return t.max===t.min?0:e/(t.max-t.min)*100}const op={correct:(e,t)=>{if(!t.target)return e;if(typeof e=="string")if(Be.test(e))e=parseFloat(e);else return e;const n=MI(e,t.target.x),r=MI(e,t.target.y);return`${n}% ${r}%`}},mAe={correct:(e,{treeScale:t,projectionDelta:n})=>{const r=e,i=Xl.parse(e);if(i.length>5)return r;const 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EAe{constructor(){this.members=[]}add(t){c6(this.members,t),t.scheduleRender()}remove(t){if(d6(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function jI(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) `),(t.x!==1||t.y!==1)&&(r+=`scale(${1/t.x}, ${1/t.y}) `),n){const{rotate:l,rotateX:u,rotateY:d}=n;l&&(r+=`rotate(${l}deg) `),u&&(r+=`rotateX(${u}deg) `),d&&(r+=`rotateY(${d}deg) `)}const s=e.x.scale*t.x,a=e.y.scale*t.y;return(s!==1||a!==1)&&(r+=`scale(${s}, ${a})`),r||"none"}const AAe=(e,t)=>e.depth-t.depth;class PAe{constructor(){this.children=[],this.isDirty=!1}add(t){c6(this.children,t),this.isDirty=!0}remove(t){d6(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(AAe),this.isDirty=!1,this.children.forEach(t)}}function RAe(e,t){const n=performance.now(),r=({timestamp:i})=>{const o=i-n;o>=t&&(Ia(r),e(o-t))};return dn.read(r,!0),()=>Ia(r)}function OAe(e){window.MotionDebug&&window.MotionDebug.record(e)}function kAe(e){return e instanceof SVGElement&&e.tagName!=="svg"}function IAe(e,t,n){const r=ki(e)?e:Mf(e);return r.start(u6("",r,t,n)),r.animation}const GI=["","X","Y","Z"],HI=1e3;let MAe=0;const Ou={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function kj({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(s={},a=t==null?void 0:t()){this.id=MAe++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Ou.totalNodes=Ou.resolvedTargetDeltas=Ou.recalculatedProjection=0,this.nodes.forEach(DAe),this.nodes.forEach(zAe),this.nodes.forEach(VAe),this.nodes.forEach($Ae),OAe(Ou)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new PAe)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new f6),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=kAe(s),this.instance=s;const{layoutId:l,layout:u,visualElement:d}=this.options;if(d&&!d.current&&d.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let f;const p=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,f&&f(),f=RAe(p,250),kv.hasAnimatedSinceResize&&(kv.hasAnimatedSinceResize=!1,this.nodes.forEach(qI))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&d&&(l||u)&&this.addEventListener("didUpdate",({delta:f,hasLayoutChanged:p,hasRelativeTargetChanged:g,layout:m})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const v=this.options.transition||d.getDefaultTransition()||qAe,{onLayoutAnimationStart:x,onLayoutAnimationComplete:_}=d.getProps(),b=!this.targetLayout||!F5(this.targetLayout,m)||g,y=!p&&g;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||y||p&&(b||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(f,y);const S={...yj(v,"layout"),onPlay:x,onComplete:_};(d.shouldReduceMotion||this.options.layoutRoot)&&(S.delay=0,S.type=!1),this.startAnimation(S)}else p||qI(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=m})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,Ia(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(jAe),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let d=0;d<this.path.length;d++){const f=this.path[d];f.shouldResetTransform=!0,f.updateScroll("snapshot"),f.options.layoutRoot&&f.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(WI);return}this.isUpdating||this.nodes.forEach(BAe),this.isUpdating=!1,this.nodes.forEach(UAe),this.nodes.forEach(NAe),this.nodes.forEach(LAe),this.clearAllSnapshots();const a=performance.now();zr.delta=Kl(0,1e3/60,a-zr.timestamp),zr.timestamp=a,zr.isProcessing=!0,Yx.update.process(zr),Yx.preRender.process(zr),Yx.render.process(zr),zr.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach(FAe),this.sharedNodes.forEach(GAe)}scheduleUpdateProjection(){dn.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){dn.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=Bn(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!Oj(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,d=u!==this.prevTransformTemplateValue;s&&(a||Ru(this.latestValues)||d)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),KAe(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return Bn();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(fl(a.x,l.offset.x),fl(a.y,l.offset.y)),a}removeElementScroll(s){const a=Bn();fo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:d,options:f}=u;if(u!==this.root&&d&&f.layoutScroll){if(d.isRoot){fo(a,s);const{scroll:p}=this.root;p&&(fl(a.x,-p.offset.x),fl(a.y,-p.offset.y))}fl(a.x,d.offset.x),fl(a.y,d.offset.y)}}return a}applyTransform(s,a=!1){const l=Bn();fo(l,s);for(let u=0;u<this.path.length;u++){const d=this.path[u];!a&&d.options.layoutScroll&&d.scroll&&d!==d.root&&Ud(l,{x:-d.scroll.offset.x,y:-d.scroll.offset.y}),Ru(d.latestValues)&&Ud(l,d.latestValues)}return Ru(this.latestValues)&&Ud(l,this.latestValues),l}removeTransform(s){const a=Bn();fo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!Ru(u.latestValues))continue;D5(u.latestValues)&&u.updateSnapshot();const d=Bn(),f=u.measurePageBox();fo(d,f),UI(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,d)}return Ru(this.latestValues)&&UI(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==zr.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:f,layoutId:p}=this.options;if(!(!this.layout||!(f||p))){if(this.resolvedRelativeTargetAt=zr.timestamp,!this.targetDelta&&!this.relativeTarget){const g=this.getClosestProjectingParent();g&&g.layout&&this.animationProgress!==1?(this.relativeParent=g,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Bn(),this.relativeTargetOrigin=Bn(),Mp(this.relativeTargetOrigin,this.layout.layoutBox,g.layout.layoutBox),fo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=Bn(),this.targetWithTransforms=Bn()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),Y6e(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):fo(this.target,this.layout.layoutBox),Tj(this.target,this.targetDelta)):fo(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const g=this.getClosestProjectingParent();g&&!!g.resumingFrom==!!this.resumingFrom&&!g.options.layoutScroll&&g.target&&this.animationProgress!==1?(this.relativeParent=g,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Bn(),this.relativeTargetOrigin=Bn(),Mp(this.relativeTargetOrigin,this.target,g.target),fo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Ou.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||D5(this.parent.latestValues)||Cj(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===zr.timestamp&&(u=!1),u)return;const{layout:d,layoutId:f}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(d||f))return;fo(this.layoutCorrected,this.layout.layoutBox);const p=this.treeScale.x,g=this.treeScale.y;oAe(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:m}=a;if(!m){this.projectionTransform&&(this.projectionDelta=Bd(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=Bd(),this.projectionDeltaWithTransform=Bd());const v=this.projectionTransform;Ip(this.projectionDelta,this.layoutCorrected,m,this.latestValues),this.projectionTransform=jI(this.projectionDelta,this.treeScale),(this.projectionTransform!==v||this.treeScale.x!==p||this.treeScale.y!==g)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",m)),Ou.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},d={...this.latestValues},f=Bd();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const p=Bn(),g=l?l.source:void 0,m=this.layout?this.layout.source:void 0,v=g!==m,x=this.getStack(),_=!x||x.members.length<=1,b=!!(v&&!_&&this.options.crossfade===!0&&!this.path.some(WAe));this.animationProgress=0;let y;this.mixTargetDelta=S=>{const C=S/1e3;KI(f.x,s.x,C),KI(f.y,s.y,C),this.setTargetDelta(f),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Mp(p,this.layout.layoutBox,this.relativeParent.layout.layoutBox),HAe(this.relativeTarget,this.relativeTargetOrigin,p,C),y&&F5(this.relativeTarget,y)&&(this.isProjectionDirty=!1),y||(y=Bn()),fo(y,this.relativeTarget)),v&&(this.animationValues=d,bAe(d,u,this.latestValues,C,b,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=C},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(Ia(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=dn.update(()=>{kv.hasAnimatedSinceResize=!0,this.currentAnimation=IAe(0,HI,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(HI),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:d}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&Ij(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Bn();const f=Xi(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+f;const p=Xi(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+p}fo(a,l),Ud(a,d),Ip(this.projectionDeltaWithTransform,this.layoutCorrected,a,d)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new EAe),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let d=0;d<GI.length;d++){const f="rotate"+GI[d];l[f]&&(u[f]=l[f],s.setStaticValue(f,0))}s.render();for(const d in u)s.setStaticValue(d,u[d]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const d=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=Ov(s.pointerEvents)||"",u.transform=d?d(this.latestValues,""):"none",u;const f=this.getLead();if(!this.projectionDelta||!this.layout||!f.target){const v={};return this.options.layoutId&&(v.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,v.pointerEvents=Ov(s.pointerEvents)||""),this.hasProjected&&!Ru(this.latestValues)&&(v.transform=d?d({},""):"none",this.hasProjected=!1),v}const p=f.animationValues||f.latestValues;this.applyTransformsToTarget(),u.transform=jI(this.projectionDeltaWithTransform,this.treeScale,p),d&&(u.transform=d(p,u.transform));const{x:g,y:m}=this.projectionDelta;u.transformOrigin=`${g.origin*100}% ${m.origin*100}% 0`,f.animationValues?u.opacity=f===this?(l=(a=p.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:p.opacityExit:u.opacity=f===this?p.opacity!==void 0?p.opacity:"":p.opacityExit!==void 0?p.opacityExit:0;for(const v in l_){if(p[v]===void 0)continue;const{correct:x,applyTo:_}=l_[v],b=u.transform==="none"?p[v]:x(p[v],f);if(_){const y=_.length;for(let S=0;S<y;S++)u[_[S]]=b}else u[v]=b}return this.options.layoutId&&(u.pointerEvents=f===this?Ov(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(WI),this.root.sharedNodes.clear()}}}function NAe(e){e.updateLayout()}function LAe(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?ps(f=>{const p=s?n.measuredBox[f]:n.layoutBox[f],g=Xi(p);p.min=r[f].min,p.max=p.min+g}):Ij(o,n.layoutBox,r)&&ps(f=>{const p=s?n.measuredBox[f]:n.layoutBox[f],g=Xi(r[f]);p.max=p.min+g,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[f].max=e.relativeTarget[f].min+g)});const a=Bd();Ip(a,r,n.layoutBox);const l=Bd();s?Ip(l,e.applyTransform(i,!0),n.measuredBox):Ip(l,r,n.layoutBox);const u=!Oj(a);let d=!1;if(!e.resumeFrom){const f=e.getClosestProjectingParent();if(f&&!f.resumeFrom){const{snapshot:p,layout:g}=f;if(p&&g){const m=Bn();Mp(m,n.layoutBox,p.layoutBox);const v=Bn();Mp(v,r,g.layoutBox),F5(m,v)||(d=!0),f.options.layoutRoot&&(e.relativeTarget=v,e.relativeTargetOrigin=m,e.relativeParent=f)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:d})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function DAe(e){Ou.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function $Ae(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function FAe(e){e.clearSnapshot()}function WI(e){e.clearMeasurements()}function BAe(e){e.isLayoutDirty=!1}function UAe(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function qI(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function zAe(e){e.resolveTargetDelta()}function VAe(e){e.calcProjection()}function jAe(e){e.resetRotation()}function GAe(e){e.removeLeadSnapshot()}function KI(e,t,n){e.translate=vn(t.translate,0,n),e.scale=vn(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function XI(e,t,n,r){e.min=vn(t.min,n.min,r),e.max=vn(t.max,n.max,r)}function HAe(e,t,n,r){XI(e.x,t.x,n.x,r),XI(e.y,t.y,n.y,r)}function WAe(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const qAe={duration:.45,ease:[.4,0,.1,1]};function YI(e){e.min=Math.round(e.min*2)/2,e.max=Math.round(e.max*2)/2}function KAe(e){YI(e.x),YI(e.y)}function Ij(e,t,n){return e==="position"||e==="preserve-aspect"&&!N5(VI(t),VI(n),.2)}const XAe=kj({attachResizeListener:(e,t)=>ya(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),lC={current:void 0},Mj=kj({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!lC.current){const e=new XAe({});e.mount(window),e.setOptions({layoutScroll:!0}),lC.current=e}return lC.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>window.getComputedStyle(e).position==="fixed"}),YAe={pan:{Feature:hAe},drag:{Feature:fAe,ProjectionNode:Mj,MeasureLayout:Aj}},QAe=/var\((--[a-zA-Z0-9-_]+),? ?([a-zA-Z0-9 ()%#.,-]+)?\)/;function ZAe(e){const t=QAe.exec(e);if(!t)return[,];const[,n,r]=t;return[n,r]}function B5(e,t,n=1){const[r,i]=ZAe(e);if(!r)return;const o=window.getComputedStyle(t).getPropertyValue(r);return o?o.trim():A5(i)?B5(i,t,n+1):i}function JAe(e,{...t},n){const r=e.current;if(!(r instanceof Element))return{target:t,transitionEnd:n};n&&(n={...n}),e.values.forEach(i=>{const o=i.get();if(!A5(o))return;const s=B5(o,r);s&&i.set(s)});for(const i in t){const o=t[i];if(!A5(o))continue;const s=B5(o,r);s&&(t[i]=s,n||(n={}),n[i]===void 0&&(n[i]=o))}return{target:t,transitionEnd:n}}const ePe=new Set(["width","height","top","left","right","bottom","x","y","translateX","translateY"]),Nj=e=>ePe.has(e),tPe=e=>Object.keys(e).some(Nj),QI=e=>e===Oc||e===Be,ZI=(e,t)=>parseFloat(e.split(", ")[t]),JI=(e,t)=>(n,{transform:r})=>{if(r==="none"||!r)return 0;const i=r.match(/^matrix3d\((.+)\)$/);if(i)return ZI(i[1],t);{const o=r.match(/^matrix\((.+)\)$/);return o?ZI(o[1],e):0}},nPe=new Set(["x","y","z"]),rPe=Dm.filter(e=>!nPe.has(e));function iPe(e){const t=[];return rPe.forEach(n=>{const r=e.getValue(n);r!==void 0&&(t.push([n,r.get()]),r.set(n.startsWith("scale")?1:0))}),t.length&&e.render(),t}const Nf={width:({x:e},{paddingLeft:t="0",paddingRight:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),height:({y:e},{paddingTop:t="0",paddingBottom:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),top:(e,{top:t})=>parseFloat(t),left:(e,{left:t})=>parseFloat(t),bottom:({y:e},{top:t})=>parseFloat(t)+(e.max-e.min),right:({x:e},{left:t})=>parseFloat(t)+(e.max-e.min),x:JI(4,13),y:JI(5,14)};Nf.translateX=Nf.x;Nf.translateY=Nf.y;const oPe=(e,t,n)=>{const r=t.measureViewportBox(),i=t.current,o=getComputedStyle(i),{display:s}=o,a={};s==="none"&&t.setStaticValue("display",e.display||"block"),n.forEach(u=>{a[u]=Nf[u](r,o)}),t.render();const l=t.measureViewportBox();return n.forEach(u=>{const d=t.getValue(u);d&&d.jump(a[u]),e[u]=Nf[u](l,o)}),e},sPe=(e,t,n={},r={})=>{t={...t},r={...r};const i=Object.keys(t).filter(Nj);let o=[],s=!1;const a=[];if(i.forEach(l=>{const u=e.getValue(l);if(!e.hasValue(l))return;let d=n[l],f=ip(d);const p=t[l];let g;if(c_(p)){const m=p.length,v=p[0]===null?1:0;d=p[v],f=ip(d);for(let x=v;x<m&&p[x]!==null;x++)g?i6(ip(p[x])===g):g=ip(p[x])}else g=ip(p);if(f!==g)if(QI(f)&&QI(g)){const m=u.get();typeof m=="string"&&u.set(parseFloat(m)),typeof p=="string"?t[l]=parseFloat(p):Array.isArray(p)&&g===Be&&(t[l]=p.map(parseFloat))}else f!=null&&f.transform&&(g!=null&&g.transform)&&(d===0||p===0)?d===0?u.set(g.transform(d)):t[l]=f.transform(p):(s||(o=iPe(e),s=!0),a.push(l),r[l]=r[l]!==void 0?r[l]:t[l],u.jump(p))}),a.length){const l=a.indexOf("height")>=0?window.pageYOffset:null,u=oPe(t,e,a);return o.length&&o.forEach(([d,f])=>{e.getValue(d).set(f)}),e.render(),r2&&l!==null&&window.scrollTo({top:l}),{target:u,transitionEnd:r}}else return{target:t,transitionEnd:r}};function aPe(e,t,n,r){return tPe(t)?sPe(e,t,n,r):{target:t,transitionEnd:r}}const lPe=(e,t,n,r)=>{const i=JAe(e,t,r);return t=i.target,r=i.transitionEnd,aPe(e,t,n,r)},U5={current:null},Lj={current:!1};function uPe(){if(Lj.current=!0,!!r2)if(window.matchMedia){const e=window.matchMedia("(prefers-reduced-motion)"),t=()=>U5.current=e.matches;e.addListener(t),t()}else U5.current=!1}function cPe(e,t,n){const{willChange:r}=t;for(const i in t){const o=t[i],s=n[i];if(ki(o))e.addValue(i,o),p_(r)&&r.add(i);else if(ki(s))e.addValue(i,Mf(o,{owner:e})),p_(r)&&r.remove(i);else if(s!==o)if(e.hasValue(i)){const a=e.getValue(i);!a.hasAnimated&&a.set(o)}else{const a=e.getStaticValue(i);e.addValue(i,Mf(a!==void 0?a:o,{owner:e}))}}for(const i in n)t[i]===void 0&&e.removeValue(i);return t}const e7=new WeakMap,Dj=Object.keys(Vg),dPe=Dj.length,t7=["AnimationStart","AnimationComplete","Update","BeforeLayoutMeasure","LayoutMeasure","LayoutAnimationStart","LayoutAnimationComplete"],fPe=KE.length;class hPe{constructor({parent:t,props:n,presenceContext:r,reducedMotionConfig:i,visualState:o},s={}){this.current=null,this.children=new Set,this.isVariantNode=!1,this.isControllingVariants=!1,this.shouldReduceMotion=null,this.values=new Map,this.features={},this.valueSubscriptions=new Map,this.prevMotionValues={},this.events={},this.propEventSubscriptions={},this.notifyUpdate=()=>this.notify("Update",this.latestValues),this.render=()=>{this.current&&(this.triggerBuild(),this.renderInstance(this.current,this.renderState,this.props.style,this.projection))},this.scheduleRender=()=>dn.render(this.render,!1,!0);const{latestValues:a,renderState:l}=o;this.latestValues=a,this.baseTarget={...a},this.initialValues=n.initial?{...a}:{},this.renderState=l,this.parent=t,this.props=n,this.presenceContext=r,this.depth=t?t.depth+1:0,this.reducedMotionConfig=i,this.options=s,this.isControllingVariants=o2(n),this.isVariantNode=SV(n),this.isVariantNode&&(this.variantChildren=new Set),this.manuallyAnimateOnMount=!!(t&&t.current);const{willChange:u,...d}=this.scrapeMotionValuesFromProps(n,{});for(const f in d){const p=d[f];a[f]!==void 0&&ki(p)&&(p.set(a[f],!1),p_(u)&&u.add(f))}}scrapeMotionValuesFromProps(t,n){return{}}mount(t){this.current=t,e7.set(t,this),this.projection&&!this.projection.instance&&this.projection.mount(t),this.parent&&this.isVariantNode&&!this.isControllingVariants&&(this.removeFromVariantTree=this.parent.addVariantChild(this)),this.values.forEach((n,r)=>this.bindToMotionValue(r,n)),Lj.current||uPe(),this.shouldReduceMotion=this.reducedMotionConfig==="never"?!1:this.reducedMotionConfig==="always"?!0:U5.current,this.parent&&this.parent.children.add(this),this.update(this.props,this.presenceContext)}unmount(){e7.delete(this.current),this.projection&&this.projection.unmount(),Ia(this.notifyUpdate),Ia(this.render),this.valueSubscriptions.forEach(t=>t()),this.removeFromVariantTree&&this.removeFromVariantTree(),this.parent&&this.parent.children.delete(this);for(const t in this.events)this.events[t].clear();for(const t in this.features)this.features[t].unmount();this.current=null}bindToMotionValue(t,n){const r=Rc.has(t),i=n.on("change",s=>{this.latestValues[t]=s,this.props.onUpdate&&dn.update(this.notifyUpdate,!1,!0),r&&this.projection&&(this.projection.isTransformDirty=!0)}),o=n.on("renderRequest",this.scheduleRender);this.valueSubscriptions.set(t,()=>{i(),o()})}sortNodePosition(t){return!this.current||!this.sortInstanceNodePosition||this.type!==t.type?0:this.sortInstanceNodePosition(this.current,t.current)}loadFeatures({children:t,...n},r,i,o){let s,a;for(let l=0;l<dPe;l++){const u=Dj[l],{isEnabled:d,Feature:f,ProjectionNode:p,MeasureLayout:g}=Vg[u];p&&(s=p),d(n)&&(!this.features[u]&&f&&(this.features[u]=new f(this)),g&&(a=g))}if(!this.projection&&s){this.projection=new s(this.latestValues,this.parent&&this.parent.projection);const{layoutId:l,layout:u,drag:d,dragConstraints:f,layoutScroll:p,layoutRoot:g}=n;this.projection.setOptions({layoutId:l,layout:u,alwaysMeasureLayout:!!d||f&&$d(f),visualElement:this,scheduleRender:()=>this.scheduleRender(),animationType:typeof u=="string"?u:"both",initialPromotionConfig:o,layoutScroll:p,layoutRoot:g})}return a}updateFeatures(){for(const t in this.features){const n=this.features[t];n.isMounted?n.update():(n.mount(),n.isMounted=!0)}}triggerBuild(){this.build(this.renderState,this.latestValues,this.options,this.props)}measureViewportBox(){return this.current?this.measureInstanceViewportBox(this.current,this.props):Bn()}getStaticValue(t){return this.latestValues[t]}setStaticValue(t,n){this.latestValues[t]=n}makeTargetAnimatable(t,n=!0){return this.makeTargetAnimatableFromInstance(t,this.props,n)}update(t,n){(t.transformTemplate||this.props.transformTemplate)&&this.scheduleRender(),this.prevProps=this.props,this.props=t,this.prevPresenceContext=this.presenceContext,this.presenceContext=n;for(let r=0;r<t7.length;r++){const i=t7[r];this.propEventSubscriptions[i]&&(this.propEventSubscriptions[i](),delete this.propEventSubscriptions[i]);const o=t["on"+i];o&&(this.propEventSubscriptions[i]=this.on(i,o))}this.prevMotionValues=cPe(this,this.scrapeMotionValuesFromProps(t,this.prevProps),this.prevMotionValues),this.handleChildMotionValue&&this.handleChildMotionValue()}getProps(){return this.props}getVariant(t){return this.props.variants?this.props.variants[t]:void 0}getDefaultTransition(){return this.props.transition}getTransformPagePoint(){return this.props.transformPagePoint}getClosestVariantNode(){return this.isVariantNode?this:this.parent?this.parent.getClosestVariantNode():void 0}getVariantContext(t=!1){if(t)return this.parent?this.parent.getVariantContext():void 0;if(!this.isControllingVariants){const r=this.parent?this.parent.getVariantContext()||{}:{};return this.props.initial!==void 0&&(r.initial=this.props.initial),r}const n={};for(let r=0;r<fPe;r++){const i=KE[r],o=this.props[i];(zg(o)||o===!1)&&(n[i]=o)}return n}addVariantChild(t){const n=this.getClosestVariantNode();if(n)return n.variantChildren&&n.variantChildren.add(t),()=>n.variantChildren.delete(t)}addValue(t,n){n!==this.values.get(t)&&(this.removeValue(t),this.bindToMotionValue(t,n)),this.values.set(t,n),this.latestValues[t]=n.get()}removeValue(t){this.values.delete(t);const n=this.valueSubscriptions.get(t);n&&(n(),this.valueSubscriptions.delete(t)),delete this.latestValues[t],this.removeValueFromRenderState(t,this.renderState)}hasValue(t){return this.values.has(t)}getValue(t,n){if(this.props.values&&this.props.values[t])return this.props.values[t];let r=this.values.get(t);return r===void 0&&n!==void 0&&(r=Mf(n,{owner:this}),this.addValue(t,r)),r}readValue(t){var n;return this.latestValues[t]!==void 0||!this.current?this.latestValues[t]:(n=this.getBaseTargetFromProps(this.props,t))!==null&&n!==void 0?n:this.readValueFromInstance(this.current,t,this.options)}setBaseTarget(t,n){this.baseTarget[t]=n}getBaseTarget(t){var n;const{initial:r}=this.props,i=typeof r=="string"||typeof r=="object"?(n=r6(this.props,r))===null||n===void 0?void 0:n[t]:void 0;if(r&&i!==void 0)return i;const o=this.getBaseTargetFromProps(this.props,t);return o!==void 0&&!ki(o)?o:this.initialValues[t]!==void 0&&i===void 0?void 0:this.baseTarget[t]}on(t,n){return this.events[t]||(this.events[t]=new f6),this.events[t].add(n)}notify(t,...n){this.events[t]&&this.events[t].notify(...n)}}class $j extends hPe{sortInstanceNodePosition(t,n){return t.compareDocumentPosition(n)&2?1:-1}getBaseTargetFromProps(t,n){return t.style?t.style[n]:void 0}removeValueFromRenderState(t,{vars:n,style:r}){delete n[t],delete r[t]}makeTargetAnimatableFromInstance({transition:t,transitionEnd:n,...r},{transformValues:i},o){let s=I6e(r,t||{},this);if(i&&(n&&(n=i(n)),r&&(r=i(r)),s&&(s=i(s))),o){O6e(this,r,s);const a=lPe(this,r,s,n);n=a.transitionEnd,r=a.target}return{transition:t,transitionEnd:n,...r}}}function pPe(e){return window.getComputedStyle(e)}class gPe extends $j{readValueFromInstance(t,n){if(Rc.has(n)){const r=l6(n);return r&&r.default||0}else{const r=pPe(t),i=(TV(n)?r.getPropertyValue(n):r[n])||0;return typeof i=="string"?i.trim():i}}measureInstanceViewportBox(t,{transformPagePoint:n}){return Ej(t,n)}build(t,n,r,i){QE(t,n,r,i.transformTemplate)}scrapeMotionValuesFromProps(t,n){return n6(t,n)}handleChildMotionValue(){this.childSubscription&&(this.childSubscription(),delete this.childSubscription);const{children:t}=this.props;ki(t)&&(this.childSubscription=t.on("change",n=>{this.current&&(this.current.textContent=`${n}`)}))}renderInstance(t,n,r,i){kV(t,n,r,i)}}class mPe extends $j{constructor(){super(...arguments),this.isSVGTag=!1}getBaseTargetFromProps(t,n){return t[n]}readValueFromInstance(t,n){if(Rc.has(n)){const r=l6(n);return r&&r.default||0}return n=IV.has(n)?n:t6(n),t.getAttribute(n)}measureInstanceViewportBox(){return Bn()}scrapeMotionValuesFromProps(t,n){return NV(t,n)}build(t,n,r,i){JE(t,n,r,this.isSVGTag,i.transformTemplate)}renderInstance(t,n,r,i){MV(t,n,r,i)}mount(t){this.isSVGTag=e6(t.tagName),super.mount(t)}}const yPe=(e,t)=>YE(e)?new mPe(t,{enableHardwareAcceleration:!1}):new gPe(t,{enableHardwareAcceleration:!0}),vPe={layout:{ProjectionNode:Mj,MeasureLayout:Aj}},_Pe={...W6e,...hEe,...YAe,...vPe},bPe=wTe((e,t)=>QTe(e,t,_Pe,yPe));function Fj(){const e=L.useRef(!1);return a_(()=>(e.current=!0,()=>{e.current=!1}),[]),e}function SPe(){const e=Fj(),[t,n]=L.useState(0),r=L.useCallback(()=>{e.current&&n(t+1)},[t]);return[L.useCallback(()=>dn.postRender(r),[r]),t]}class wPe extends L.Component{getSnapshotBeforeUpdate(t){const n=this.props.childRef.current;if(n&&t.isPresent&&!this.props.isPresent){const r=this.props.sizeRef.current;r.height=n.offsetHeight||0,r.width=n.offsetWidth||0,r.top=n.offsetTop,r.left=n.offsetLeft}return null}componentDidUpdate(){}render(){return this.props.children}}function xPe({children:e,isPresent:t}){const n=L.useId(),r=L.useRef(null),i=L.useRef({width:0,height:0,top:0,left:0});return L.useInsertionEffect(()=>{const{width:o,height:s,top:a,left:l}=i.current;if(t||!r.current||!o||!s)return;r.current.dataset.motionPopId=n;const u=document.createElement("style");return document.head.appendChild(u),u.sheet&&u.sheet.insertRule(`
           [data-motion-pop-id="${n}"] {
             position: absolute !important;
             width: ${o}px !important;
@@ -144,8 +144,8 @@ In order to be iterable, non-array objects must have a [Symbol.iterator]() metho
             top: ${a}px !important;
             left: ${l}px !important;
           }
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Draggable item "+t.id+" was dropped."}};function y8e(e){let{announcements:t=m8e,container:n,hiddenTextDescribedById:r,screenReaderInstructions:i=g8e}=e;const{announce:o,announcement:s}=f8e(),a=d2("DndLiveRegion"),[l,u]=L.useState(!1);if(L.useEffect(()=>{u(!0)},[]),h8e(L.useMemo(()=>({onDragStart(f){let{active:p}=f;o(t.onDragStart({active:p}))},onDragMove(f){let{active:p,over:g}=f;t.onDragMove&&o(t.onDragMove({active:p,over:g}))},onDragOver(f){let{active:p,over:g}=f;o(t.onDragOver({active:p,over:g}))},onDragEnd(f){let{active:p,over:g}=f;o(t.onDragEnd({active:p,over:g}))},onDragCancel(f){let{active:p,over:g}=f;o(t.onDragCancel({active:p,over:g}))}}),[o,t])),!l)return null;const d=Lt.createElement(Lt.Fragment,null,Lt.createElement(u8e,{id:r,value:i.draggable}),Lt.createElement(d8e,{id:a,announcement:s}));return n?bs.createPortal(d,n):d}var er;(function(e){e.DragStart="dragStart",e.DragMove="dragMove",e.DragEnd="dragEnd",e.DragCancel="dragCancel",e.DragOver="dragOver",e.RegisterDroppable="registerDroppable",e.SetDroppableDisabled="setDroppableDisabled",e.UnregisterDroppable="unregisterDroppable"})(er||(er={}));function S_(){}function l7(e,t){return L.useMemo(()=>({sensor:e,options:t??{}}),[e,t])}function v8e(){for(var e=arguments.length,t=new Array(e),n=0;n<e;n++)t[n]=arguments[n];return L.useMemo(()=>[...t].filter(r=>r!=null),[...t])}const ns=Object.freeze({x:0,y:0});function _8e(e,t){return Math.sqrt(Math.pow(e.x-t.x,2)+Math.pow(e.y-t.y,2))}function b8e(e,t){const n=qg(e);if(!n)return"0 0";const r={x:(n.x-t.left)/t.width*100,y:(n.y-t.top)/t.height*100};return r.x+"% "+r.y+"%"}function S8e(e,t){let{data:{value:n}}=e,{data:{value:r}}=t;return n-r}function w8e(e,t){let{data:{value:n}}=e,{data:{value:r}}=t;return r-n}function 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u=x8e(a).reduce((f,p)=>f+_8e(r,p),0),d=Number((u/4).toFixed(4));i.push({id:s,data:{droppableContainer:o,value:d}})}}return i.sort(S8e)};function R8e(e,t,n){return{...e,scaleX:t&&n?t.width/n.width:1,scaleY:t&&n?t.height/n.height:1}}function Yj(e,t){return e&&t?{x:e.left-t.left,y:e.top-t.top}:ns}function O8e(e){return function(n){for(var r=arguments.length,i=new Array(r>1?r-1:0),o=1;o<r;o++)i[o-1]=arguments[o];return i.reduce((s,a)=>({...s,top:s.top+e*a.y,bottom:s.bottom+e*a.y,left:s.left+e*a.x,right:s.right+e*a.x}),{...n})}}const k8e=O8e(1);function Qj(e){if(e.startsWith("matrix3d(")){const t=e.slice(9,-1).split(/, /);return{x:+t[12],y:+t[13],scaleX:+t[0],scaleY:+t[5]}}else if(e.startsWith("matrix(")){const t=e.slice(7,-1).split(/, /);return{x:+t[4],y:+t[5],scaleX:+t[0],scaleY:+t[3]}}return null}function I8e(e,t,n){const r=Qj(t);if(!r)return e;const{scaleX:i,scaleY:o,x:s,y:a}=r,l=e.left-s-(1-i)*parseFloat(n),u=e.top-a-(1-o)*parseFloat(n.slice(n.indexOf(" ")+1)),d=i?e.width/i:e.width,f=o?e.height/o:e.height;return{width:d,height:f,top:u,right:l+d,bottom:u+f,left:l}}const M8e={ignoreTransform:!1};function Vm(e,t){t===void 0&&(t=M8e);let n=e.getBoundingClientRect();if(t.ignoreTransform){const{transform:u,transformOrigin:d}=fi(e).getComputedStyle(e);u&&(n=I8e(n,u,d))}const{top:r,left:i,width:o,height:s,bottom:a,right:l}=n;return{top:r,left:i,width:o,height:s,bottom:a,right:l}}function u7(e){return Vm(e,{ignoreTransform:!0})}function N8e(e){const t=e.innerWidth,n=e.innerHeight;return{top:0,left:0,right:t,bottom:n,width:t,height:n}}function L8e(e,t){return t===void 0&&(t=fi(e).getComputedStyle(e)),t.position==="fixed"}function D8e(e,t){t===void 0&&(t=fi(e).getComputedStyle(e));const n=/(auto|scroll|overlay)/;return["overflow","overflowX","overflowY"].some(i=>{const o=t[i];return typeof o=="string"?n.test(o):!1})}function _6(e,t){const n=[];function r(i){if(t!=null&&n.length>=t||!i)return n;if(y6(i)&&i.scrollingElement!=null&&!n.includes(i.scrollingElement))return n.push(i.scrollingElement),n;if(!Um(i)||r8e(i)||n.includes(i))return n;const o=fi(e).getComputedStyle(i);return i!==e&&D8e(i,o)&&n.push(i),L8e(i,o)?n:r(i.parentNode)}return e?r(e):n}function Zj(e){const[t]=_6(e,1);return t??null}function dC(e){return!u2||!e?null:Yf(e)?e:m6(e)?y6(e)||e===Qf(e).scrollingElement?window:Um(e)?e:null:null}function Jj(e){return Yf(e)?e.scrollX:e.scrollLeft}function eG(e){return Yf(e)?e.scrollY:e.scrollTop}function K5(e){return{x:Jj(e),y:eG(e)}}var fr;(function(e){e[e.Forward=1]="Forward",e[e.Backward=-1]="Backward"})(fr||(fr={}));function tG(e){return!u2||!e?!1:e===document.scrollingElement}function nG(e){const t={x:0,y:0},n=tG(e)?{height:window.innerHeight,width:window.innerWidth}:{height:e.clientHeight,width:e.clientWidth},r={x:e.scrollWidth-n.width,y:e.scrollHeight-n.height},i=e.scrollTop<=t.y,o=e.scrollLeft<=t.x,s=e.scrollTop>=r.y,a=e.scrollLeft>=r.x;return{isTop:i,isLeft:o,isBottom:s,isRight:a,maxScroll:r,minScroll:t}}const $8e={x:.2,y:.2};function F8e(e,t,n,r,i){let{top:o,left:s,right:a,bottom:l}=n;r===void 0&&(r=10),i===void 0&&(i=$8e);const{isTop:u,isBottom:d,isLeft:f,isRight:p}=nG(e),g={x:0,y:0},m={x:0,y:0},v={height:t.height*i.y,width:t.width*i.x};return!u&&o<=t.top+v.height?(g.y=fr.Backward,m.y=r*Math.abs((t.top+v.height-o)/v.height)):!d&&l>=t.bottom-v.height&&(g.y=fr.Forward,m.y=r*Math.abs((t.bottom-v.height-l)/v.height)),!p&&a>=t.right-v.width?(g.x=fr.Forward,m.x=r*Math.abs((t.right-v.width-a)/v.width)):!f&&s<=t.left+v.width&&(g.x=fr.Backward,m.x=r*Math.abs((t.left+v.width-s)/v.width)),{direction:g,speed:m}}function B8e(e){if(e===document.scrollingElement){const{innerWidth:o,innerHeight:s}=window;return{top:0,left:0,right:o,bottom:s,width:o,height:s}}const{top:t,left:n,right:r,bottom:i}=e.getBoundingClientRect();return{top:t,left:n,right:r,bottom:i,width:e.clientWidth,height:e.clientHeight}}function rG(e){return e.reduce((t,n)=>uf(t,K5(n)),ns)}function U8e(e){return e.reduce((t,n)=>t+Jj(n),0)}function z8e(e){return e.reduce((t,n)=>t+eG(n),0)}function iG(e,t){if(t===void 0&&(t=Vm),!e)return;const{top:n,left:r,bottom:i,right:o}=t(e);Zj(e)&&(i<=0||o<=0||n>=window.innerHeight||r>=window.innerWidth)&&e.scrollIntoView({block:"center",inline:"center"})}const V8e=[["x",["left","right"],U8e],["y",["top","bottom"],z8e]];class b6{constructor(t,n){this.rect=void 0,this.width=void 0,this.height=void 0,this.top=void 0,this.bottom=void 0,this.right=void 0,this.left=void 0;const r=_6(n),i=rG(r);this.rect={...t},this.width=t.width,this.height=t.height;for(const[o,s,a]of V8e)for(const l of s)Object.defineProperty(this,l,{get:()=>{const u=a(r),d=i[o]-u;return this.rect[l]+d},enumerable:!0});Object.defineProperty(this,"rect",{enumerable:!1})}}class Np{constructor(t){this.target=void 0,this.listeners=[],this.removeAll=()=>{this.listeners.forEach(n=>{var r;return(r=this.target)==null?void 0:r.removeEventListener(...n)})},this.target=t}add(t,n,r){var i;(i=this.target)==null||i.addEventListener(t,n,r),this.listeners.push([t,n,r])}}function j8e(e){const{EventTarget:t}=fi(e);return e instanceof t?e:Qf(e)}function fC(e,t){const n=Math.abs(e.x),r=Math.abs(e.y);return typeof t=="number"?Math.sqrt(n**2+r**2)>t:"x"in t&&"y"in t?n>t.x&&r>t.y:"x"in t?n>t.x:"y"in t?r>t.y:!1}var po;(function(e){e.Click="click",e.DragStart="dragstart",e.Keydown="keydown",e.ContextMenu="contextmenu",e.Resize="resize",e.SelectionChange="selectionchange",e.VisibilityChange="visibilitychange"})(po||(po={}));function c7(e){e.preventDefault()}function G8e(e){e.stopPropagation()}var Qt;(function(e){e.Space="Space",e.Down="ArrowDown",e.Right="ArrowRight",e.Left="ArrowLeft",e.Up="ArrowUp",e.Esc="Escape",e.Enter="Enter"})(Qt||(Qt={}));const oG={start:[Qt.Space,Qt.Enter],cancel:[Qt.Esc],end:[Qt.Space,Qt.Enter]},H8e=(e,t)=>{let{currentCoordinates:n}=t;switch(e.code){case Qt.Right:return{...n,x:n.x+25};case Qt.Left:return{...n,x:n.x-25};case Qt.Down:return{...n,y:n.y+25};case Qt.Up:return{...n,y:n.y-25}}};class sG{constructor(t){this.props=void 0,this.autoScrollEnabled=!1,this.referenceCoordinates=void 0,this.listeners=void 0,this.windowListeners=void 0,this.props=t;const{event:{target:n}}=t;this.props=t,this.listeners=new Np(Qf(n)),this.windowListeners=new Np(fi(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(po.Resize,this.handleCancel),this.windowListeners.add(po.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(po.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&iG(r),n(ns)}handleKeyDown(t){if(v6(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=oG,coordinateGetter:s=H8e,scrollBehavior:a="smooth"}=i,{code:l}=t;if(o.end.includes(l)){this.handleEnd(t);return}if(o.cancel.includes(l)){this.handleCancel(t);return}const{collisionRect:u}=r.current,d=u?{x:u.left,y:u.top}:ns;this.referenceCoordinates||(this.referenceCoordinates=d);const f=s(t,{active:n,context:r.current,currentCoordinates:d});if(f){const p=b_(f,d),g={x:0,y:0},{scrollableAncestors:m}=r.current;for(const v of m){const x=t.code,{isTop:_,isRight:b,isLeft:y,isBottom:S,maxScroll:C,minScroll:T}=nG(v),E=B8e(v),P={x:Math.min(x===Qt.Right?E.right-E.width/2:E.right,Math.max(x===Qt.Right?E.left:E.left+E.width/2,f.x)),y:Math.min(x===Qt.Down?E.bottom-E.height/2:E.bottom,Math.max(x===Qt.Down?E.top:E.top+E.height/2,f.y))},k=x===Qt.Right&&!b||x===Qt.Left&&!y,O=x===Qt.Down&&!S||x===Qt.Up&&!_;if(k&&P.x!==f.x){const M=v.scrollLeft+p.x,G=x===Qt.Right&&M<=C.x||x===Qt.Left&&M>=T.x;if(G&&!p.y){v.scrollTo({left:M,behavior:a});return}G?g.x=v.scrollLeft-M:g.x=x===Qt.Right?v.scrollLeft-C.x:v.scrollLeft-T.x,g.x&&v.scrollBy({left:-g.x,behavior:a});break}else if(O&&P.y!==f.y){const M=v.scrollTop+p.y,G=x===Qt.Down&&M<=C.y||x===Qt.Up&&M>=T.y;if(G&&!p.x){v.scrollTo({top:M,behavior:a});return}G?g.y=v.scrollTop-M:g.y=x===Qt.Down?v.scrollTop-C.y:v.scrollTop-T.y,g.y&&v.scrollBy({top:-g.y,behavior:a});break}}this.handleMove(t,uf(b_(f,this.referenceCoordinates),g))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}sG.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=oG,onActivation:i}=t,{active:o}=n;const{code:s}=e.nativeEvent;if(r.start.includes(s)){const a=o.activatorNode.current;return a&&e.target!==a?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function d7(e){return!!(e&&"distance"in e)}function f7(e){return!!(e&&"delay"in e)}class S6{constructor(t,n,r){var i;r===void 0&&(r=j8e(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=Qf(s),this.documentListeners=new Np(this.document),this.listeners=new Np(r),this.windowListeners=new Np(fi(s)),this.initialCoordinates=(i=qg(o))!=null?i:ns,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(po.Resize,this.handleCancel),this.windowListeners.add(po.DragStart,c7),this.windowListeners.add(po.VisibilityChange,this.handleCancel),this.windowListeners.add(po.ContextMenu,c7),this.documentListeners.add(po.Keydown,this.handleKeydown),n){if(d7(n))return;if(f7(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(po.Click,G8e,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(po.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=qg(t))!=null?n:ns,u=b_(i,l);if(!r&&a){if(f7(a))return fC(u,a.tolerance)?this.handleCancel():void 0;if(d7(a))return a.tolerance!=null&&fC(u,a.tolerance)?this.handleCancel():fC(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===Qt.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const W8e={move:{name:"pointermove"},end:{name:"pointerup"}};class aG extends S6{constructor(t){const{event:n}=t,r=Qf(n.target);super(t,W8e,r)}}aG.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const q8e={move:{name:"mousemove"},end:{name:"mouseup"}};var X5;(function(e){e[e.RightClick=2]="RightClick"})(X5||(X5={}));class lG extends S6{constructor(t){super(t,q8e,Qf(t.event.target))}}lG.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===X5.RightClick?!1:(r==null||r({event:n}),!0)}}];const hC={move:{name:"touchmove"},end:{name:"touchend"}};class uG extends S6{constructor(t){super(t,hC)}static setup(){return window.addEventListener(hC.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(hC.move.name,t)};function t(){}}}uG.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var Lp;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Lp||(Lp={}));var w_;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(w_||(w_={}));function 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Vs=L.useMemo(()=>({active:U,activeNode:le,activeNodeRect:pe,activatorEvent:B,collisions:qn,containerNodeRect:ve,dragOverlay:Me,draggableNodes:P,droppableContainers:O,droppableRects:ee,over:Gt,measureDroppableContainers:ie,scrollableAncestors:Bt,scrollableAncestorRects:it,measuringConfiguration:Z,measuringScheduled:se,windowRect:Wn}),[U,le,pe,B,qn,ve,Me,P,O,ee,Gt,ie,Bt,it,Z,se,Wn]),Ji=L.useMemo(()=>({activatorEvent:B,activators:Yr,active:U,activeNodeRect:pe,ariaDescribedById:{draggable:j},dispatch:_,draggableNodes:P,over:Gt,measureDroppableContainers:ie}),[B,Yr,U,pe,_,j,P,Gt,ie]);return Lt.createElement(Xj.Provider,{value:y},Lt.createElement(jm.Provider,{value:Ji},Lt.createElement(hG.Provider,{value:Vs},Lt.createElement(h2.Provider,{value:Xr},u)),Lt.createElement(g9e,{disabled:(a==null?void 0:a.restoreFocus)===!1})),Lt.createElement(y8e,{...a,hiddenTextDescribedById:j}));function js(){const Xt=(N==null?void 0:N.autoScrollEnabled)===!1,kt=typeof 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+  `},y8e={onDragStart(e){let{active:t}=e;return"Picked up draggable item "+t.id+"."},onDragOver(e){let{active:t,over:n}=e;return n?"Draggable item "+t.id+" was moved over droppable area "+n.id+".":"Draggable item "+t.id+" is no longer over a droppable area."},onDragEnd(e){let{active:t,over:n}=e;return n?"Draggable item "+t.id+" was dropped over droppable area "+n.id:"Draggable item "+t.id+" was dropped."},onDragCancel(e){let{active:t}=e;return"Dragging was cancelled. Draggable item "+t.id+" was dropped."}};function v8e(e){let{announcements:t=y8e,container:n,hiddenTextDescribedById:r,screenReaderInstructions:i=m8e}=e;const{announce:o,announcement:s}=h8e(),a=d2("DndLiveRegion"),[l,u]=L.useState(!1);if(L.useEffect(()=>{u(!0)},[]),p8e(L.useMemo(()=>({onDragStart(f){let{active:p}=f;o(t.onDragStart({active:p}))},onDragMove(f){let{active:p,over:g}=f;t.onDragMove&&o(t.onDragMove({active:p,over:g}))},onDragOver(f){let{active:p,over:g}=f;o(t.onDragOver({active:p,over:g}))},onDragEnd(f){let{active:p,over:g}=f;o(t.onDragEnd({active:p,over:g}))},onDragCancel(f){let{active:p,over:g}=f;o(t.onDragCancel({active:p,over:g}))}}),[o,t])),!l)return null;const d=Lt.createElement(Lt.Fragment,null,Lt.createElement(c8e,{id:r,value:i.draggable}),Lt.createElement(f8e,{id:a,announcement:s}));return n?bs.createPortal(d,n):d}var er;(function(e){e.DragStart="dragStart",e.DragMove="dragMove",e.DragEnd="dragEnd",e.DragCancel="dragCancel",e.DragOver="dragOver",e.RegisterDroppable="registerDroppable",e.SetDroppableDisabled="setDroppableDisabled",e.UnregisterDroppable="unregisterDroppable"})(er||(er={}));function S_(){}function l7(e,t){return L.useMemo(()=>({sensor:e,options:t??{}}),[e,t])}function _8e(){for(var e=arguments.length,t=new Array(e),n=0;n<e;n++)t[n]=arguments[n];return L.useMemo(()=>[...t].filter(r=>r!=null),[...t])}const ns=Object.freeze({x:0,y:0});function b8e(e,t){return Math.sqrt(Math.pow(e.x-t.x,2)+Math.pow(e.y-t.y,2))}function S8e(e,t){const n=qg(e);if(!n)return"0 0";const r={x:(n.x-t.left)/t.width*100,y:(n.y-t.top)/t.height*100};return r.x+"% "+r.y+"%"}function w8e(e,t){let{data:{value:n}}=e,{data:{value:r}}=t;return n-r}function x8e(e,t){let{data:{value:n}}=e,{data:{value:r}}=t;return r-n}function C8e(e){let{left:t,top:n,height:r,width:i}=e;return[{x:t,y:n},{x:t+i,y:n},{x:t,y:n+r},{x:t+i,y:n+r}]}function T8e(e,t){if(!e||e.length===0)return null;const[n]=e;return t?n[t]:n}function E8e(e,t){const n=Math.max(t.top,e.top),r=Math.max(t.left,e.left),i=Math.min(t.left+t.width,e.left+e.width),o=Math.min(t.top+t.height,e.top+e.height),s=i-r,a=o-n;if(r<i&&n<o){const l=t.width*t.height,u=e.width*e.height,d=s*a,f=d/(l+u-d);return Number(f.toFixed(4))}return 0}const A8e=e=>{let{collisionRect:t,droppableRects:n,droppableContainers:r}=e;const i=[];for(const o of r){const{id:s}=o,a=n.get(s);if(a){const l=E8e(a,t);l>0&&i.push({id:s,data:{droppableContainer:o,value:l}})}}return i.sort(x8e)};function P8e(e,t){const{top:n,left:r,bottom:i,right:o}=t;return n<=e.y&&e.y<=i&&r<=e.x&&e.x<=o}const R8e=e=>{let{droppableContainers:t,droppableRects:n,pointerCoordinates:r}=e;if(!r)return[];const i=[];for(const o of t){const{id:s}=o,a=n.get(s);if(a&&P8e(r,a)){const u=C8e(a).reduce((f,p)=>f+b8e(r,p),0),d=Number((u/4).toFixed(4));i.push({id:s,data:{droppableContainer:o,value:d}})}}return i.sort(w8e)};function O8e(e,t,n){return{...e,scaleX:t&&n?t.width/n.width:1,scaleY:t&&n?t.height/n.height:1}}function Yj(e,t){return e&&t?{x:e.left-t.left,y:e.top-t.top}:ns}function k8e(e){return function(n){for(var r=arguments.length,i=new Array(r>1?r-1:0),o=1;o<r;o++)i[o-1]=arguments[o];return i.reduce((s,a)=>({...s,top:s.top+e*a.y,bottom:s.bottom+e*a.y,left:s.left+e*a.x,right:s.right+e*a.x}),{...n})}}const I8e=k8e(1);function Qj(e){if(e.startsWith("matrix3d(")){const t=e.slice(9,-1).split(/, /);return{x:+t[12],y:+t[13],scaleX:+t[0],scaleY:+t[5]}}else if(e.startsWith("matrix(")){const t=e.slice(7,-1).split(/, /);return{x:+t[4],y:+t[5],scaleX:+t[0],scaleY:+t[3]}}return null}function M8e(e,t,n){const r=Qj(t);if(!r)return e;const{scaleX:i,scaleY:o,x:s,y:a}=r,l=e.left-s-(1-i)*parseFloat(n),u=e.top-a-(1-o)*parseFloat(n.slice(n.indexOf(" ")+1)),d=i?e.width/i:e.width,f=o?e.height/o:e.height;return{width:d,height:f,top:u,right:l+d,bottom:u+f,left:l}}const N8e={ignoreTransform:!1};function Vm(e,t){t===void 0&&(t=N8e);let n=e.getBoundingClientRect();if(t.ignoreTransform){const{transform:u,transformOrigin:d}=hi(e).getComputedStyle(e);u&&(n=M8e(n,u,d))}const{top:r,left:i,width:o,height:s,bottom:a,right:l}=n;return{top:r,left:i,width:o,height:s,bottom:a,right:l}}function u7(e){return Vm(e,{ignoreTransform:!0})}function L8e(e){const t=e.innerWidth,n=e.innerHeight;return{top:0,left:0,right:t,bottom:n,width:t,height:n}}function D8e(e,t){return t===void 0&&(t=hi(e).getComputedStyle(e)),t.position==="fixed"}function $8e(e,t){t===void 0&&(t=hi(e).getComputedStyle(e));const n=/(auto|scroll|overlay)/;return["overflow","overflowX","overflowY"].some(i=>{const o=t[i];return typeof o=="string"?n.test(o):!1})}function _6(e,t){const n=[];function r(i){if(t!=null&&n.length>=t||!i)return n;if(y6(i)&&i.scrollingElement!=null&&!n.includes(i.scrollingElement))return n.push(i.scrollingElement),n;if(!Um(i)||i8e(i)||n.includes(i))return n;const o=hi(e).getComputedStyle(i);return i!==e&&$8e(i,o)&&n.push(i),D8e(i,o)?n:r(i.parentNode)}return e?r(e):n}function Zj(e){const[t]=_6(e,1);return t??null}function dC(e){return!u2||!e?null:Yf(e)?e:m6(e)?y6(e)||e===Qf(e).scrollingElement?window:Um(e)?e:null:null}function Jj(e){return Yf(e)?e.scrollX:e.scrollLeft}function eG(e){return Yf(e)?e.scrollY:e.scrollTop}function K5(e){return{x:Jj(e),y:eG(e)}}var fr;(function(e){e[e.Forward=1]="Forward",e[e.Backward=-1]="Backward"})(fr||(fr={}));function tG(e){return!u2||!e?!1:e===document.scrollingElement}function nG(e){const t={x:0,y:0},n=tG(e)?{height:window.innerHeight,width:window.innerWidth}:{height:e.clientHeight,width:e.clientWidth},r={x:e.scrollWidth-n.width,y:e.scrollHeight-n.height},i=e.scrollTop<=t.y,o=e.scrollLeft<=t.x,s=e.scrollTop>=r.y,a=e.scrollLeft>=r.x;return{isTop:i,isLeft:o,isBottom:s,isRight:a,maxScroll:r,minScroll:t}}const F8e={x:.2,y:.2};function B8e(e,t,n,r,i){let{top:o,left:s,right:a,bottom:l}=n;r===void 0&&(r=10),i===void 0&&(i=F8e);const{isTop:u,isBottom:d,isLeft:f,isRight:p}=nG(e),g={x:0,y:0},m={x:0,y:0},v={height:t.height*i.y,width:t.width*i.x};return!u&&o<=t.top+v.height?(g.y=fr.Backward,m.y=r*Math.abs((t.top+v.height-o)/v.height)):!d&&l>=t.bottom-v.height&&(g.y=fr.Forward,m.y=r*Math.abs((t.bottom-v.height-l)/v.height)),!p&&a>=t.right-v.width?(g.x=fr.Forward,m.x=r*Math.abs((t.right-v.width-a)/v.width)):!f&&s<=t.left+v.width&&(g.x=fr.Backward,m.x=r*Math.abs((t.left+v.width-s)/v.width)),{direction:g,speed:m}}function U8e(e){if(e===document.scrollingElement){const{innerWidth:o,innerHeight:s}=window;return{top:0,left:0,right:o,bottom:s,width:o,height:s}}const{top:t,left:n,right:r,bottom:i}=e.getBoundingClientRect();return{top:t,left:n,right:r,bottom:i,width:e.clientWidth,height:e.clientHeight}}function rG(e){return e.reduce((t,n)=>uf(t,K5(n)),ns)}function z8e(e){return e.reduce((t,n)=>t+Jj(n),0)}function V8e(e){return e.reduce((t,n)=>t+eG(n),0)}function iG(e,t){if(t===void 0&&(t=Vm),!e)return;const{top:n,left:r,bottom:i,right:o}=t(e);Zj(e)&&(i<=0||o<=0||n>=window.innerHeight||r>=window.innerWidth)&&e.scrollIntoView({block:"center",inline:"center"})}const j8e=[["x",["left","right"],z8e],["y",["top","bottom"],V8e]];class b6{constructor(t,n){this.rect=void 0,this.width=void 0,this.height=void 0,this.top=void 0,this.bottom=void 0,this.right=void 0,this.left=void 0;const r=_6(n),i=rG(r);this.rect={...t},this.width=t.width,this.height=t.height;for(const[o,s,a]of j8e)for(const l of s)Object.defineProperty(this,l,{get:()=>{const u=a(r),d=i[o]-u;return this.rect[l]+d},enumerable:!0});Object.defineProperty(this,"rect",{enumerable:!1})}}class Np{constructor(t){this.target=void 0,this.listeners=[],this.removeAll=()=>{this.listeners.forEach(n=>{var r;return(r=this.target)==null?void 0:r.removeEventListener(...n)})},this.target=t}add(t,n,r){var i;(i=this.target)==null||i.addEventListener(t,n,r),this.listeners.push([t,n,r])}}function G8e(e){const{EventTarget:t}=hi(e);return e instanceof t?e:Qf(e)}function fC(e,t){const n=Math.abs(e.x),r=Math.abs(e.y);return typeof t=="number"?Math.sqrt(n**2+r**2)>t:"x"in t&&"y"in t?n>t.x&&r>t.y:"x"in t?n>t.x:"y"in t?r>t.y:!1}var po;(function(e){e.Click="click",e.DragStart="dragstart",e.Keydown="keydown",e.ContextMenu="contextmenu",e.Resize="resize",e.SelectionChange="selectionchange",e.VisibilityChange="visibilitychange"})(po||(po={}));function c7(e){e.preventDefault()}function H8e(e){e.stopPropagation()}var Qt;(function(e){e.Space="Space",e.Down="ArrowDown",e.Right="ArrowRight",e.Left="ArrowLeft",e.Up="ArrowUp",e.Esc="Escape",e.Enter="Enter"})(Qt||(Qt={}));const oG={start:[Qt.Space,Qt.Enter],cancel:[Qt.Esc],end:[Qt.Space,Qt.Enter]},W8e=(e,t)=>{let{currentCoordinates:n}=t;switch(e.code){case Qt.Right:return{...n,x:n.x+25};case Qt.Left:return{...n,x:n.x-25};case Qt.Down:return{...n,y:n.y+25};case Qt.Up:return{...n,y:n.y-25}}};class sG{constructor(t){this.props=void 0,this.autoScrollEnabled=!1,this.referenceCoordinates=void 0,this.listeners=void 0,this.windowListeners=void 0,this.props=t;const{event:{target:n}}=t;this.props=t,this.listeners=new Np(Qf(n)),this.windowListeners=new Np(hi(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(po.Resize,this.handleCancel),this.windowListeners.add(po.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(po.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&iG(r),n(ns)}handleKeyDown(t){if(v6(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=oG,coordinateGetter:s=W8e,scrollBehavior:a="smooth"}=i,{code:l}=t;if(o.end.includes(l)){this.handleEnd(t);return}if(o.cancel.includes(l)){this.handleCancel(t);return}const{collisionRect:u}=r.current,d=u?{x:u.left,y:u.top}:ns;this.referenceCoordinates||(this.referenceCoordinates=d);const f=s(t,{active:n,context:r.current,currentCoordinates:d});if(f){const p=b_(f,d),g={x:0,y:0},{scrollableAncestors:m}=r.current;for(const v of m){const x=t.code,{isTop:_,isRight:b,isLeft:y,isBottom:S,maxScroll:C,minScroll:T}=nG(v),E=U8e(v),P={x:Math.min(x===Qt.Right?E.right-E.width/2:E.right,Math.max(x===Qt.Right?E.left:E.left+E.width/2,f.x)),y:Math.min(x===Qt.Down?E.bottom-E.height/2:E.bottom,Math.max(x===Qt.Down?E.top:E.top+E.height/2,f.y))},k=x===Qt.Right&&!b||x===Qt.Left&&!y,O=x===Qt.Down&&!S||x===Qt.Up&&!_;if(k&&P.x!==f.x){const M=v.scrollLeft+p.x,G=x===Qt.Right&&M<=C.x||x===Qt.Left&&M>=T.x;if(G&&!p.y){v.scrollTo({left:M,behavior:a});return}G?g.x=v.scrollLeft-M:g.x=x===Qt.Right?v.scrollLeft-C.x:v.scrollLeft-T.x,g.x&&v.scrollBy({left:-g.x,behavior:a});break}else if(O&&P.y!==f.y){const M=v.scrollTop+p.y,G=x===Qt.Down&&M<=C.y||x===Qt.Up&&M>=T.y;if(G&&!p.x){v.scrollTo({top:M,behavior:a});return}G?g.y=v.scrollTop-M:g.y=x===Qt.Down?v.scrollTop-C.y:v.scrollTop-T.y,g.y&&v.scrollBy({top:-g.y,behavior:a});break}}this.handleMove(t,uf(b_(f,this.referenceCoordinates),g))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}sG.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=oG,onActivation:i}=t,{active:o}=n;const{code:s}=e.nativeEvent;if(r.start.includes(s)){const a=o.activatorNode.current;return a&&e.target!==a?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function d7(e){return!!(e&&"distance"in e)}function f7(e){return!!(e&&"delay"in e)}class S6{constructor(t,n,r){var i;r===void 0&&(r=G8e(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=Qf(s),this.documentListeners=new Np(this.document),this.listeners=new Np(r),this.windowListeners=new Np(hi(s)),this.initialCoordinates=(i=qg(o))!=null?i:ns,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(po.Resize,this.handleCancel),this.windowListeners.add(po.DragStart,c7),this.windowListeners.add(po.VisibilityChange,this.handleCancel),this.windowListeners.add(po.ContextMenu,c7),this.documentListeners.add(po.Keydown,this.handleKeydown),n){if(d7(n))return;if(f7(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(po.Click,H8e,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(po.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=qg(t))!=null?n:ns,u=b_(i,l);if(!r&&a){if(f7(a))return fC(u,a.tolerance)?this.handleCancel():void 0;if(d7(a))return a.tolerance!=null&&fC(u,a.tolerance)?this.handleCancel():fC(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===Qt.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const q8e={move:{name:"pointermove"},end:{name:"pointerup"}};class aG extends S6{constructor(t){const{event:n}=t,r=Qf(n.target);super(t,q8e,r)}}aG.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const K8e={move:{name:"mousemove"},end:{name:"mouseup"}};var X5;(function(e){e[e.RightClick=2]="RightClick"})(X5||(X5={}));class lG extends S6{constructor(t){super(t,K8e,Qf(t.event.target))}}lG.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===X5.RightClick?!1:(r==null||r({event:n}),!0)}}];const hC={move:{name:"touchmove"},end:{name:"touchend"}};class uG extends S6{constructor(t){super(t,hC)}static setup(){return window.addEventListener(hC.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(hC.move.name,t)};function t(){}}}uG.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var Lp;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Lp||(Lp={}));var w_;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(w_||(w_={}));function X8e(e){let{acceleration:t,activator:n=Lp.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=w_.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:d,delta:f,threshold:p}=e;const g=Q8e({delta:f,disabled:!o}),[m,v]=o8e(),x=L.useRef({x:0,y:0}),_=L.useRef({x:0,y:0}),b=L.useMemo(()=>{switch(n){case Lp.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case Lp.DraggableRect:return i}},[n,i,l]),y=L.useRef(null),S=L.useCallback(()=>{const T=y.current;if(!T)return;const E=x.current.x*_.current.x,P=x.current.y*_.current.y;T.scrollBy(E,P)},[]),C=L.useMemo(()=>a===w_.TreeOrder?[...u].reverse():u,[a,u]);L.useEffect(()=>{if(!o||!u.length||!b){v();return}for(const T of C){if((r==null?void 0:r(T))===!1)continue;const E=u.indexOf(T),P=d[E];if(!P)continue;const{direction:k,speed:O}=B8e(T,P,b,t,p);for(const M 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Vs=L.useMemo(()=>({active:U,activeNode:le,activeNodeRect:pe,activatorEvent:B,collisions:qn,containerNodeRect:ve,dragOverlay:Me,draggableNodes:P,droppableContainers:O,droppableRects:ee,over:Gt,measureDroppableContainers:ie,scrollableAncestors:Bt,scrollableAncestorRects:it,measuringConfiguration:Z,measuringScheduled:se,windowRect:Wn}),[U,le,pe,B,qn,ve,Me,P,O,ee,Gt,ie,Bt,it,Z,se,Wn]),Ji=L.useMemo(()=>({activatorEvent:B,activators:Yr,active:U,activeNodeRect:pe,ariaDescribedById:{draggable:j},dispatch:_,draggableNodes:P,over:Gt,measureDroppableContainers:ie}),[B,Yr,U,pe,_,j,P,Gt,ie]);return Lt.createElement(Xj.Provider,{value:y},Lt.createElement(jm.Provider,{value:Ji},Lt.createElement(hG.Provider,{value:Vs},Lt.createElement(h2.Provider,{value:Xr},u)),Lt.createElement(m9e,{disabled:(a==null?void 0:a.restoreFocus)===!1})),Lt.createElement(v8e,{...a,hiddenTextDescribedById:j}));function js(){const Xt=(N==null?void 0:N.autoScrollEnabled)===!1,kt=typeof 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diff --git a/invokeai/frontend/web/dist/assets/menu-e9f8a36e.js b/invokeai/frontend/web/dist/assets/menu-b4489359.js
similarity index 99%
rename from invokeai/frontend/web/dist/assets/menu-e9f8a36e.js
rename to invokeai/frontend/web/dist/assets/menu-b4489359.js
index 13e0b949f7..db994ae22b 100644
--- a/invokeai/frontend/web/dist/assets/menu-e9f8a36e.js
+++ b/invokeai/frontend/web/dist/assets/menu-b4489359.js
@@ -1 +1 @@
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diff --git a/invokeai/frontend/web/dist/index.html b/invokeai/frontend/web/dist/index.html
index 9bb5bb86fb..32d631cc03 100644
--- a/invokeai/frontend/web/dist/index.html
+++ b/invokeai/frontend/web/dist/index.html
@@ -12,7 +12,7 @@
         margin: 0;
       }
     </style>
-    <script type="module" crossorigin src="./assets/index-815faab3.js"></script>
+    <script type="module" crossorigin src="./assets/index-deaa1f26.js"></script>
   </head>
 
   <body dir="ltr">

From 9afb5d6ace4837cebe4e240d8916b6a7222b2272 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Sun, 13 Aug 2023 09:07:14 +1000
Subject: [PATCH 188/287] Update version to 3.0.2post1

---
 invokeai/version/invokeai_version.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/version/invokeai_version.py b/invokeai/version/invokeai_version.py
index 131942e76a..ef3bc05f1a 100644
--- a/invokeai/version/invokeai_version.py
+++ b/invokeai/version/invokeai_version.py
@@ -1 +1 @@
-__version__ = "3.0.2"
+__version__ = "3.0.2post1"

From b35cdc05a5699d76147f5c4b0f446d86499cee80 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sun, 13 Aug 2023 20:17:23 +1200
Subject: [PATCH 189/287] feat: Scaled Processing to Inpainting & Outpainting /
 1.x & SDXL

---
 .../listeners/userInvokedCanvas.ts            |   1 -
 .../src/features/canvas/store/canvasSlice.ts  |   2 +-
 .../src/features/canvas/store/canvasTypes.ts  |   2 +-
 .../graphBuilders/buildCanvasInpaintGraph.ts  | 194 +++++++++--
 .../graphBuilders/buildCanvasOutpaintGraph.ts | 302 ++++++++++++++---
 .../buildCanvasSDXLInpaintGraph.ts            | 188 ++++++++++-
 .../buildCanvasSDXLOutpaintGraph.ts           | 310 +++++++++++++++---
 .../nodes/util/graphBuilders/constants.ts     |   6 +
 .../frontend/web/src/services/api/types.ts    |   9 +
 9 files changed, 874 insertions(+), 140 deletions(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts
index dbcb87f3cf..cd6791cc0b 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedCanvas.ts
@@ -123,7 +123,6 @@ export const addUserInvokedCanvasListener = () => {
       log.debug({ graph: parseify(graph) }, `Canvas graph built`);
 
       // currently this action is just listened to for logging
-      console.log(canvasGraphBuilt(graph));
       dispatch(canvasGraphBuilt(graph));
 
       // Create the session, store the request id
diff --git a/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts b/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
index f63ab2fd67..11f829221a 100644
--- a/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
+++ b/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
@@ -47,7 +47,7 @@ export const initialCanvasState: CanvasState = {
   boundingBoxCoordinates: { x: 0, y: 0 },
   boundingBoxDimensions: { width: 512, height: 512 },
   boundingBoxPreviewFill: { r: 0, g: 0, b: 0, a: 0.5 },
-  boundingBoxScaleMethod: 'auto',
+  boundingBoxScaleMethod: 'none',
   brushColor: { r: 90, g: 90, b: 255, a: 1 },
   brushSize: 50,
   canvasContainerDimensions: { width: 0, height: 0 },
diff --git a/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts b/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts
index ba85a7e132..f2ba90b050 100644
--- a/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts
+++ b/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts
@@ -11,9 +11,9 @@ export const LAYER_NAMES = ['base', 'mask'] as const;
 export type CanvasLayer = (typeof LAYER_NAMES)[number];
 
 export const BOUNDING_BOX_SCALES_DICT = [
+  { label: 'None', value: 'none' },
   { label: 'Auto', value: 'auto' },
   { label: 'Manual', value: 'manual' },
-  { label: 'None', value: 'none' },
 ];
 
 export const BOUNDING_BOX_SCALES = ['none', 'auto', 'manual'] as const;
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
index c2b8b62e42..00af964350 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
@@ -2,7 +2,10 @@ import { logger } from 'app/logging/logger';
 import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
 import {
+  ImageBlurInvocation,
   ImageDTO,
+  ImageToLatentsInvocation,
+  NoiseInvocation,
   RandomIntInvocation,
   RangeOfSizeInvocation,
 } from 'services/api/types';
@@ -16,12 +19,16 @@ import {
   CANVAS_OUTPUT,
   CLIP_SKIP,
   COLOR_CORRECT,
-  INPAINT,
+  DENOISE_LATENTS,
   INPAINT_IMAGE,
+  INPAINT_IMAGE_RESIZE_DOWN,
+  INPAINT_IMAGE_RESIZE_UP,
   ITERATE,
   LATENTS_TO_IMAGE,
   MAIN_MODEL_LOADER,
   MASK_BLUR,
+  MASK_RESIZE_DOWN,
+  MASK_RESIZE_UP,
   NEGATIVE_CONDITIONING,
   NOISE,
   POSITIVE_CONDITIONING,
@@ -108,7 +115,6 @@ export const buildCanvasInpaintGraph = (
         type: 'img_blur',
         id: MASK_BLUR,
         is_intermediate: true,
-        image: canvasMaskImage,
         radius: maskBlur,
         blur_type: maskBlurMethod,
       },
@@ -117,19 +123,16 @@ export const buildCanvasInpaintGraph = (
         id: INPAINT_IMAGE,
         is_intermediate: true,
         fp32: vaePrecision === 'fp32' ? true : false,
-        image: canvasInitImage,
       },
       [NOISE]: {
         type: 'noise',
         id: NOISE,
-        width,
-        height,
         use_cpu,
         is_intermediate: true,
       },
-      [INPAINT]: {
+      [DENOISE_LATENTS]: {
         type: 'denoise_latents',
-        id: INPAINT,
+        id: DENOISE_LATENTS,
         is_intermediate: true,
         steps: steps,
         cfg_scale: cfg_scale,
@@ -152,7 +155,7 @@ export const buildCanvasInpaintGraph = (
       [CANVAS_OUTPUT]: {
         type: 'img_paste',
         id: CANVAS_OUTPUT,
-        is_intermediate: true,
+        is_intermediate: !shouldAutoSave,
         base_image: canvasInitImage,
       },
       [RANGE_OF_SIZE]: {
@@ -178,7 +181,7 @@ export const buildCanvasInpaintGraph = (
           field: 'unet',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: DENOISE_LATENTS,
           field: 'unet',
         },
       },
@@ -220,7 +223,7 @@ export const buildCanvasInpaintGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: DENOISE_LATENTS,
           field: 'positive_conditioning',
         },
       },
@@ -230,7 +233,7 @@ export const buildCanvasInpaintGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: DENOISE_LATENTS,
           field: 'negative_conditioning',
         },
       },
@@ -240,7 +243,7 @@ export const buildCanvasInpaintGraph = (
           field: 'noise',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: DENOISE_LATENTS,
           field: 'noise',
         },
       },
@@ -250,7 +253,7 @@ export const buildCanvasInpaintGraph = (
           field: 'latents',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: DENOISE_LATENTS,
           field: 'latents',
         },
       },
@@ -260,7 +263,7 @@ export const buildCanvasInpaintGraph = (
           field: 'image',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: DENOISE_LATENTS,
           field: 'mask',
         },
       },
@@ -288,7 +291,7 @@ export const buildCanvasInpaintGraph = (
       // Decode Inpainted Latents To Image
       {
         source: {
-          node_id: INPAINT,
+          node_id: DENOISE_LATENTS,
           field: 'latents',
         },
         destination: {
@@ -296,6 +299,155 @@ export const buildCanvasInpaintGraph = (
           field: 'latents',
         },
       },
+    ],
+  };
+
+  // Handle Scale Before Processing
+  if (['auto', 'manual'].includes(boundingBoxScaleMethod)) {
+    const scaledWidth: number = scaledBoundingBoxDimensions.width;
+    const scaledHeight: number = scaledBoundingBoxDimensions.height;
+
+    // Add Scaling Nodes
+    graph.nodes[INPAINT_IMAGE_RESIZE_UP] = {
+      type: 'img_resize',
+      id: INPAINT_IMAGE_RESIZE_UP,
+      is_intermediate: true,
+      width: scaledWidth,
+      height: scaledHeight,
+      image: canvasInitImage,
+    };
+    graph.nodes[MASK_RESIZE_UP] = {
+      type: 'img_resize',
+      id: MASK_RESIZE_UP,
+      is_intermediate: true,
+      width: scaledWidth,
+      height: scaledHeight,
+      image: canvasMaskImage,
+    };
+    graph.nodes[INPAINT_IMAGE_RESIZE_DOWN] = {
+      type: 'img_resize',
+      id: INPAINT_IMAGE_RESIZE_DOWN,
+      is_intermediate: true,
+      width: width,
+      height: height,
+    };
+    graph.nodes[MASK_RESIZE_DOWN] = {
+      type: 'img_resize',
+      id: MASK_RESIZE_DOWN,
+      is_intermediate: true,
+      width: width,
+      height: height,
+    };
+
+    graph.nodes[NOISE] = {
+      ...(graph.nodes[NOISE] as NoiseInvocation),
+      width: scaledWidth,
+      height: scaledHeight,
+    };
+
+    // Connect Nodes
+    graph.edges.push(
+      // Scale Inpaint Image and Mask
+      {
+        source: {
+          node_id: INPAINT_IMAGE_RESIZE_UP,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_IMAGE,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_RESIZE_UP,
+          field: 'image',
+        },
+        destination: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+      },
+      // Color Correct The Inpainted Result
+      {
+        source: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_IMAGE_RESIZE_DOWN,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_IMAGE_RESIZE_DOWN,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+        destination: {
+          node_id: MASK_RESIZE_DOWN,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_RESIZE_DOWN,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'mask',
+        },
+      },
+      // Paste Back Onto Original Image
+      {
+        source: {
+          node_id: COLOR_CORRECT,
+          field: 'image',
+        },
+        destination: {
+          node_id: CANVAS_OUTPUT,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_RESIZE_DOWN,
+          field: 'image',
+        },
+        destination: {
+          node_id: CANVAS_OUTPUT,
+          field: 'mask',
+        },
+      }
+    );
+  } else {
+    // Add Images To Nodes
+    graph.nodes[NOISE] = {
+      ...(graph.nodes[NOISE] as NoiseInvocation),
+      width: width,
+      height: height,
+    };
+    graph.nodes[INPAINT_IMAGE] = {
+      ...(graph.nodes[INPAINT_IMAGE] as ImageToLatentsInvocation),
+      image: canvasInitImage,
+    };
+    graph.nodes[MASK_BLUR] = {
+      ...(graph.nodes[MASK_BLUR] as ImageBlurInvocation),
+      image: canvasMaskImage,
+    };
+
+    graph.edges.push(
       // Color Correct The Inpainted Result
       {
         source: {
@@ -337,11 +489,11 @@ export const buildCanvasInpaintGraph = (
           node_id: CANVAS_OUTPUT,
           field: 'mask',
         },
-      },
-    ],
-  };
+      }
+    );
+  }
 
-  // handle seed
+  // Handle Seed
   if (shouldRandomizeSeed) {
     // Random int node to generate the starting seed
     const randomIntNode: RandomIntInvocation = {
@@ -365,10 +517,10 @@ export const buildCanvasInpaintGraph = (
   addVAEToGraph(state, graph, MAIN_MODEL_LOADER);
 
   // add LoRA support
-  addLoRAsToGraph(state, graph, INPAINT, MAIN_MODEL_LOADER);
+  addLoRAsToGraph(state, graph, DENOISE_LATENTS, MAIN_MODEL_LOADER);
 
   // add controlnet, mutating `graph`
-  addControlNetToLinearGraph(state, graph, INPAINT);
+  addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
 
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
index d434f3d7cd..2eb70884cf 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
@@ -2,9 +2,12 @@ import { logger } from 'app/logging/logger';
 import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
 import {
+  ImageBlurInvocation,
   ImageDTO,
+  ImageToLatentsInvocation,
   InfillPatchmatchInvocation,
   InfillTileInvocation,
+  NoiseInvocation,
   RandomIntInvocation,
   RangeOfSizeInvocation,
 } from 'services/api/types';
@@ -18,15 +21,20 @@ import {
   CANVAS_OUTPUT,
   CLIP_SKIP,
   COLOR_CORRECT,
-  INPAINT,
+  DENOISE_LATENTS,
   INPAINT_IMAGE,
+  INPAINT_IMAGE_RESIZE_DOWN,
+  INPAINT_IMAGE_RESIZE_UP,
   INPAINT_INFILL,
+  INPAINT_INFILL_RESIZE_DOWN,
   ITERATE,
   LATENTS_TO_IMAGE,
   MAIN_MODEL_LOADER,
   MASK_BLUR,
   MASK_COMBINE,
   MASK_FROM_ALPHA,
+  MASK_RESIZE_DOWN,
+  MASK_RESIZE_UP,
   NEGATIVE_CONDITIONING,
   NOISE,
   POSITIVE_CONDITIONING,
@@ -84,23 +92,6 @@ export const buildCanvasOutpaintGraph = (
     ? shouldUseCpuNoise
     : shouldUseCpuNoise;
 
-  let infillNode: InfillTileInvocation | InfillPatchmatchInvocation = {
-    type: 'infill_tile',
-    id: INPAINT_INFILL,
-    is_intermediate: true,
-    image: canvasInitImage,
-    tile_size: tileSize,
-  };
-
-  if (infillMethod === 'patchmatch') {
-    infillNode = {
-      type: 'infill_patchmatch',
-      id: INPAINT_INFILL,
-      is_intermediate: true,
-      image: canvasInitImage,
-    };
-  }
-
   const graph: NonNullableGraph = {
     id: CANVAS_OUTPAINT_GRAPH,
     nodes: {
@@ -147,7 +138,12 @@ export const buildCanvasOutpaintGraph = (
         radius: maskBlur,
         blur_type: maskBlurMethod,
       },
-      [infillNode.id]: infillNode,
+      [INPAINT_INFILL]: {
+        type: 'infill_tile',
+        id: INPAINT_INFILL,
+        is_intermediate: true,
+        tile_size: tileSize,
+      },
       [INPAINT_IMAGE]: {
         type: 'i2l',
         id: INPAINT_IMAGE,
@@ -157,14 +153,12 @@ export const buildCanvasOutpaintGraph = (
       [NOISE]: {
         type: 'noise',
         id: NOISE,
-        width,
-        height,
         use_cpu,
         is_intermediate: true,
       },
-      [INPAINT]: {
+      [DENOISE_LATENTS]: {
         type: 'denoise_latents',
-        id: INPAINT,
+        id: DENOISE_LATENTS,
         is_intermediate: true,
         steps: steps,
         cfg_scale: cfg_scale,
@@ -186,7 +180,7 @@ export const buildCanvasOutpaintGraph = (
       [CANVAS_OUTPUT]: {
         type: 'img_paste',
         id: CANVAS_OUTPUT,
-        is_intermediate: true,
+        is_intermediate: !shouldAutoSave,
       },
       [RANGE_OF_SIZE]: {
         type: 'range_of_size',
@@ -211,7 +205,7 @@ export const buildCanvasOutpaintGraph = (
           field: 'unet',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: DENOISE_LATENTS,
           field: 'unet',
         },
       },
@@ -268,16 +262,6 @@ export const buildCanvasOutpaintGraph = (
           field: 'mask1',
         },
       },
-      {
-        source: {
-          node_id: MASK_COMBINE,
-          field: 'image',
-        },
-        destination: {
-          node_id: MASK_BLUR,
-          field: 'image',
-        },
-      },
       // Plug Everything Into Inpaint Node
       {
         source: {
@@ -285,7 +269,7 @@ export const buildCanvasOutpaintGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: DENOISE_LATENTS,
           field: 'positive_conditioning',
         },
       },
@@ -295,7 +279,7 @@ export const buildCanvasOutpaintGraph = (
           field: 'conditioning',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: DENOISE_LATENTS,
           field: 'negative_conditioning',
         },
       },
@@ -305,7 +289,7 @@ export const buildCanvasOutpaintGraph = (
           field: 'noise',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: DENOISE_LATENTS,
           field: 'noise',
         },
       },
@@ -315,7 +299,7 @@ export const buildCanvasOutpaintGraph = (
           field: 'latents',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: DENOISE_LATENTS,
           field: 'latents',
         },
       },
@@ -325,7 +309,7 @@ export const buildCanvasOutpaintGraph = (
           field: 'image',
         },
         destination: {
-          node_id: INPAINT,
+          node_id: DENOISE_LATENTS,
           field: 'mask',
         },
       },
@@ -353,7 +337,7 @@ export const buildCanvasOutpaintGraph = (
       // Decode the result from Inpaint
       {
         source: {
-          node_id: INPAINT,
+          node_id: DENOISE_LATENTS,
           field: 'latents',
         },
         destination: {
@@ -361,6 +345,230 @@ export const buildCanvasOutpaintGraph = (
           field: 'latents',
         },
       },
+    ],
+  };
+
+  // Add Infill Nodes
+
+  if (infillMethod === 'patchmatch') {
+    graph.nodes[INPAINT_INFILL] = {
+      type: 'infill_patchmatch',
+      id: INPAINT_INFILL,
+      is_intermediate: true,
+    };
+  }
+
+  // Handle Scale Before Processing
+  if (['auto', 'manual'].includes(boundingBoxScaleMethod)) {
+    const scaledWidth: number = scaledBoundingBoxDimensions.width;
+    const scaledHeight: number = scaledBoundingBoxDimensions.height;
+
+    // Add Scaling Nodes
+    graph.nodes[INPAINT_IMAGE_RESIZE_UP] = {
+      type: 'img_resize',
+      id: INPAINT_IMAGE_RESIZE_UP,
+      is_intermediate: true,
+      width: scaledWidth,
+      height: scaledHeight,
+      image: canvasInitImage,
+    };
+    graph.nodes[MASK_RESIZE_UP] = {
+      type: 'img_resize',
+      id: MASK_RESIZE_UP,
+      is_intermediate: true,
+      width: scaledWidth,
+      height: scaledHeight,
+    };
+    graph.nodes[INPAINT_IMAGE_RESIZE_DOWN] = {
+      type: 'img_resize',
+      id: INPAINT_IMAGE_RESIZE_DOWN,
+      is_intermediate: true,
+      width: width,
+      height: height,
+    };
+    graph.nodes[INPAINT_INFILL_RESIZE_DOWN] = {
+      type: 'img_resize',
+      id: INPAINT_INFILL_RESIZE_DOWN,
+      is_intermediate: true,
+      width: width,
+      height: height,
+    };
+    graph.nodes[MASK_RESIZE_DOWN] = {
+      type: 'img_resize',
+      id: MASK_RESIZE_DOWN,
+      is_intermediate: true,
+      width: width,
+      height: height,
+    };
+
+    graph.nodes[NOISE] = {
+      ...(graph.nodes[NOISE] as NoiseInvocation),
+      width: scaledWidth,
+      height: scaledHeight,
+    };
+
+    // Connect Nodes
+    graph.edges.push(
+      // Scale Inpaint Image
+      {
+        source: {
+          node_id: INPAINT_IMAGE_RESIZE_UP,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_INFILL,
+          field: 'image',
+        },
+      },
+      // Take combined mask and resize and then blur
+      {
+        source: {
+          node_id: MASK_COMBINE,
+          field: 'image',
+        },
+        destination: {
+          node_id: MASK_RESIZE_UP,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_RESIZE_UP,
+          field: 'image',
+        },
+        destination: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+      },
+      // Resize Results Down
+      {
+        source: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_IMAGE_RESIZE_DOWN,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+        destination: {
+          node_id: MASK_RESIZE_DOWN,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_INFILL,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_INFILL_RESIZE_DOWN,
+          field: 'image',
+        },
+      },
+      // Color Correct The Inpainted Result
+      {
+        source: {
+          node_id: INPAINT_INFILL_RESIZE_DOWN,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'reference',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_IMAGE_RESIZE_DOWN,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_RESIZE_DOWN,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'mask',
+        },
+      },
+      // Paste Everything Back
+      {
+        source: {
+          node_id: INPAINT_INFILL_RESIZE_DOWN,
+          field: 'image',
+        },
+        destination: {
+          node_id: CANVAS_OUTPUT,
+          field: 'base_image',
+        },
+      },
+      {
+        source: {
+          node_id: COLOR_CORRECT,
+          field: 'image',
+        },
+        destination: {
+          node_id: CANVAS_OUTPUT,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_RESIZE_DOWN,
+          field: 'image',
+        },
+        destination: {
+          node_id: CANVAS_OUTPUT,
+          field: 'mask',
+        },
+      }
+    );
+  } else {
+    // Add Images To Nodes
+    graph.nodes[INPAINT_INFILL] = {
+      ...(graph.nodes[INPAINT_INFILL] as
+        | InfillTileInvocation
+        | InfillPatchmatchInvocation),
+      image: canvasInitImage,
+    };
+    graph.nodes[NOISE] = {
+      ...(graph.nodes[NOISE] as NoiseInvocation),
+      width: width,
+      height: height,
+    };
+    graph.nodes[INPAINT_IMAGE] = {
+      ...(graph.nodes[INPAINT_IMAGE] as ImageToLatentsInvocation),
+      image: canvasInitImage,
+    };
+    graph.nodes[MASK_BLUR] = {
+      ...(graph.nodes[MASK_BLUR] as ImageBlurInvocation),
+      image: canvasMaskImage,
+    };
+
+    graph.edges.push(
+      // Take combined mask and plug it to blur
+      {
+        source: {
+          node_id: MASK_COMBINE,
+          field: 'image',
+        },
+        destination: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+      },
       // Color Correct The Inpainted Result
       {
         source: {
@@ -422,11 +630,11 @@ export const buildCanvasOutpaintGraph = (
           node_id: CANVAS_OUTPUT,
           field: 'mask',
         },
-      },
-    ],
-  };
+      }
+    );
+  }
 
-  // handle seed
+  // Handle Seed
   if (shouldRandomizeSeed) {
     // Random int node to generate the starting seed
     const randomIntNode: RandomIntInvocation = {
@@ -450,10 +658,10 @@ export const buildCanvasOutpaintGraph = (
   addVAEToGraph(state, graph, MAIN_MODEL_LOADER);
 
   // add LoRA support
-  addLoRAsToGraph(state, graph, INPAINT, MAIN_MODEL_LOADER);
+  addLoRAsToGraph(state, graph, DENOISE_LATENTS, MAIN_MODEL_LOADER);
 
   // add controlnet, mutating `graph`
-  addControlNetToLinearGraph(state, graph, INPAINT);
+  addControlNetToLinearGraph(state, graph, DENOISE_LATENTS);
 
   // NSFW & watermark - must be last thing added to graph
   if (state.system.shouldUseNSFWChecker) {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
index 7b43be497c..13ba385a66 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
@@ -2,7 +2,10 @@ import { logger } from 'app/logging/logger';
 import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
 import {
+  ImageBlurInvocation,
   ImageDTO,
+  ImageToLatentsInvocation,
+  NoiseInvocation,
   RandomIntInvocation,
   RangeOfSizeInvocation,
 } from 'services/api/types';
@@ -16,9 +19,13 @@ import {
   CANVAS_OUTPUT,
   COLOR_CORRECT,
   INPAINT_IMAGE,
+  INPAINT_IMAGE_RESIZE_DOWN,
+  INPAINT_IMAGE_RESIZE_UP,
   ITERATE,
   LATENTS_TO_IMAGE,
   MASK_BLUR,
+  MASK_RESIZE_DOWN,
+  MASK_RESIZE_UP,
   NEGATIVE_CONDITIONING,
   NOISE,
   POSITIVE_CONDITIONING,
@@ -114,20 +121,16 @@ export const buildCanvasSDXLInpaintGraph = (
         is_intermediate: true,
         radius: maskBlur,
         blur_type: maskBlurMethod,
-        image: canvasMaskImage,
       },
       [INPAINT_IMAGE]: {
         type: 'i2l',
         id: INPAINT_IMAGE,
         is_intermediate: true,
         fp32: vaePrecision === 'fp32' ? true : false,
-        image: canvasInitImage,
       },
       [NOISE]: {
         type: 'noise',
         id: NOISE,
-        width,
-        height,
         use_cpu,
         is_intermediate: true,
       },
@@ -156,7 +159,7 @@ export const buildCanvasSDXLInpaintGraph = (
       [CANVAS_OUTPUT]: {
         type: 'img_paste',
         id: CANVAS_OUTPUT,
-        is_intermediate: true,
+        is_intermediate: !shouldAutoSave,
         base_image: canvasInitImage,
       },
       [RANGE_OF_SIZE]: {
@@ -309,7 +312,156 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'latents',
         },
       },
-      // Color Correct Inpainted Result
+    ],
+  };
+
+  // Handle Scale Before Processing
+  if (['auto', 'manual'].includes(boundingBoxScaleMethod)) {
+    const scaledWidth: number = scaledBoundingBoxDimensions.width;
+    const scaledHeight: number = scaledBoundingBoxDimensions.height;
+
+    // Add Scaling Nodes
+    graph.nodes[INPAINT_IMAGE_RESIZE_UP] = {
+      type: 'img_resize',
+      id: INPAINT_IMAGE_RESIZE_UP,
+      is_intermediate: true,
+      width: scaledWidth,
+      height: scaledHeight,
+      image: canvasInitImage,
+    };
+    graph.nodes[MASK_RESIZE_UP] = {
+      type: 'img_resize',
+      id: MASK_RESIZE_UP,
+      is_intermediate: true,
+      width: scaledWidth,
+      height: scaledHeight,
+      image: canvasMaskImage,
+    };
+    graph.nodes[INPAINT_IMAGE_RESIZE_DOWN] = {
+      type: 'img_resize',
+      id: INPAINT_IMAGE_RESIZE_DOWN,
+      is_intermediate: true,
+      width: width,
+      height: height,
+    };
+    graph.nodes[MASK_RESIZE_DOWN] = {
+      type: 'img_resize',
+      id: MASK_RESIZE_DOWN,
+      is_intermediate: true,
+      width: width,
+      height: height,
+    };
+
+    graph.nodes[NOISE] = {
+      ...(graph.nodes[NOISE] as NoiseInvocation),
+      width: scaledWidth,
+      height: scaledHeight,
+    };
+
+    // Connect Nodes
+    graph.edges.push(
+      // Scale Inpaint Image and Mask
+      {
+        source: {
+          node_id: INPAINT_IMAGE_RESIZE_UP,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_IMAGE,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_RESIZE_UP,
+          field: 'image',
+        },
+        destination: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+      },
+      // Color Correct The Inpainted Result
+      {
+        source: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_IMAGE_RESIZE_DOWN,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_IMAGE_RESIZE_DOWN,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+        destination: {
+          node_id: MASK_RESIZE_DOWN,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_RESIZE_DOWN,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'mask',
+        },
+      },
+      // Paste Back Onto Original Image
+      {
+        source: {
+          node_id: COLOR_CORRECT,
+          field: 'image',
+        },
+        destination: {
+          node_id: CANVAS_OUTPUT,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_RESIZE_DOWN,
+          field: 'image',
+        },
+        destination: {
+          node_id: CANVAS_OUTPUT,
+          field: 'mask',
+        },
+      }
+    );
+  } else {
+    // Add Images To Nodes
+    graph.nodes[NOISE] = {
+      ...(graph.nodes[NOISE] as NoiseInvocation),
+      width: width,
+      height: height,
+    };
+    graph.nodes[INPAINT_IMAGE] = {
+      ...(graph.nodes[INPAINT_IMAGE] as ImageToLatentsInvocation),
+      image: canvasInitImage,
+    };
+    graph.nodes[MASK_BLUR] = {
+      ...(graph.nodes[MASK_BLUR] as ImageBlurInvocation),
+      image: canvasMaskImage,
+    };
+
+    graph.edges.push(
+      // Color Correct The Inpainted Result
       {
         source: {
           node_id: LATENTS_TO_IMAGE,
@@ -330,7 +482,7 @@ export const buildCanvasSDXLInpaintGraph = (
           field: 'mask',
         },
       },
-      // Paste them back on original image
+      // Paste Back Onto Original Image
       {
         source: {
           node_id: COLOR_CORRECT,
@@ -350,19 +502,11 @@ export const buildCanvasSDXLInpaintGraph = (
           node_id: CANVAS_OUTPUT,
           field: 'mask',
         },
-      },
-    ],
-  };
-
-  // Add Refiner if enabled
-  if (shouldUseSDXLRefiner) {
-    addSDXLRefinerToGraph(state, graph, SDXL_DENOISE_LATENTS);
+      }
+    );
   }
 
-  // optionally add custom VAE
-  addVAEToGraph(state, graph, SDXL_MODEL_LOADER);
-
-  // handle seed
+  // Handle Seed
   if (shouldRandomizeSeed) {
     // Random int node to generate the starting seed
     const randomIntNode: RandomIntInvocation = {
@@ -382,6 +526,14 @@ export const buildCanvasSDXLInpaintGraph = (
     (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed;
   }
 
+  // Add Refiner if enabled
+  if (shouldUseSDXLRefiner) {
+    addSDXLRefinerToGraph(state, graph, SDXL_DENOISE_LATENTS);
+  }
+
+  // optionally add custom VAE
+  addVAEToGraph(state, graph, SDXL_MODEL_LOADER);
+
   // add LoRA support
   addSDXLLoRAsToGraph(state, graph, SDXL_DENOISE_LATENTS, SDXL_MODEL_LOADER);
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index c75ef0f800..7dc46ababf 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -2,9 +2,12 @@ import { logger } from 'app/logging/logger';
 import { RootState } from 'app/store/store';
 import { NonNullableGraph } from 'features/nodes/types/types';
 import {
+  ImageBlurInvocation,
   ImageDTO,
+  ImageToLatentsInvocation,
   InfillPatchmatchInvocation,
   InfillTileInvocation,
+  NoiseInvocation,
   RandomIntInvocation,
   RangeOfSizeInvocation,
 } from 'services/api/types';
@@ -18,12 +21,17 @@ import {
   CANVAS_OUTPUT,
   COLOR_CORRECT,
   INPAINT_IMAGE,
+  INPAINT_IMAGE_RESIZE_DOWN,
+  INPAINT_IMAGE_RESIZE_UP,
   INPAINT_INFILL,
+  INPAINT_INFILL_RESIZE_DOWN,
   ITERATE,
   LATENTS_TO_IMAGE,
   MASK_BLUR,
   MASK_COMBINE,
   MASK_FROM_ALPHA,
+  MASK_RESIZE_DOWN,
+  MASK_RESIZE_UP,
   NEGATIVE_CONDITIONING,
   NOISE,
   POSITIVE_CONDITIONING,
@@ -91,23 +99,6 @@ export const buildCanvasSDXLOutpaintGraph = (
     ? shouldUseCpuNoise
     : shouldUseCpuNoise;
 
-  let infillNode: InfillTileInvocation | InfillPatchmatchInvocation = {
-    type: 'infill_tile',
-    id: INPAINT_INFILL,
-    is_intermediate: true,
-    image: canvasInitImage,
-    tile_size: tileSize,
-  };
-
-  if (infillMethod === 'patchmatch') {
-    infillNode = {
-      type: 'infill_patchmatch',
-      id: INPAINT_INFILL,
-      is_intermediate: true,
-      image: canvasInitImage,
-    };
-  }
-
   const graph: NonNullableGraph = {
     id: SDXL_CANVAS_OUTPAINT_GRAPH,
     nodes: {
@@ -132,13 +123,6 @@ export const buildCanvasSDXLOutpaintGraph = (
           ? `${negativePrompt} ${negativeStylePrompt}`
           : negativeStylePrompt,
       },
-      [infillNode.id]: infillNode,
-      [INPAINT_IMAGE]: {
-        type: 'i2l',
-        id: INPAINT_IMAGE,
-        is_intermediate: true,
-        fp32: vaePrecision === 'fp32' ? true : false,
-      },
       [MASK_FROM_ALPHA]: {
         type: 'tomask',
         id: MASK_FROM_ALPHA,
@@ -158,11 +142,21 @@ export const buildCanvasSDXLOutpaintGraph = (
         radius: maskBlur,
         blur_type: maskBlurMethod,
       },
+      [INPAINT_INFILL]: {
+        type: 'infill_tile',
+        id: INPAINT_INFILL,
+        is_intermediate: true,
+        tile_size: tileSize,
+      },
+      [INPAINT_IMAGE]: {
+        type: 'i2l',
+        id: INPAINT_IMAGE,
+        is_intermediate: true,
+        fp32: vaePrecision === 'fp32' ? true : false,
+      },
       [NOISE]: {
         type: 'noise',
         id: NOISE,
-        width,
-        height,
         use_cpu,
         is_intermediate: true,
       },
@@ -190,7 +184,7 @@ export const buildCanvasSDXLOutpaintGraph = (
       [CANVAS_OUTPUT]: {
         type: 'img_paste',
         id: CANVAS_OUTPUT,
-        is_intermediate: true,
+        is_intermediate: !shouldAutoSave,
       },
       [RANGE_OF_SIZE]: {
         type: 'range_of_size',
@@ -259,7 +253,7 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'clip2',
         },
       },
-      // Infill The Image
+      // Connect Infill Result To Inpaint Image
       {
         source: {
           node_id: INPAINT_INFILL,
@@ -270,7 +264,7 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'image',
         },
       },
-      // Create mask from image alpha & merge with user painted mask
+      // Combine Mask from Init Image with User Painted Mask
       {
         source: {
           node_id: MASK_FROM_ALPHA,
@@ -281,16 +275,6 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'mask1',
         },
       },
-      {
-        source: {
-          node_id: MASK_COMBINE,
-          field: 'image',
-        },
-        destination: {
-          node_id: MASK_BLUR,
-          field: 'image',
-        },
-      },
       // Connect Everything To Inpaint
       {
         source: {
@@ -374,6 +358,230 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'latents',
         },
       },
+    ],
+  };
+
+  // Add Infill Nodes
+
+  if (infillMethod === 'patchmatch') {
+    graph.nodes[INPAINT_INFILL] = {
+      type: 'infill_patchmatch',
+      id: INPAINT_INFILL,
+      is_intermediate: true,
+    };
+  }
+
+  // Handle Scale Before Processing
+  if (['auto', 'manual'].includes(boundingBoxScaleMethod)) {
+    const scaledWidth: number = scaledBoundingBoxDimensions.width;
+    const scaledHeight: number = scaledBoundingBoxDimensions.height;
+
+    // Add Scaling Nodes
+    graph.nodes[INPAINT_IMAGE_RESIZE_UP] = {
+      type: 'img_resize',
+      id: INPAINT_IMAGE_RESIZE_UP,
+      is_intermediate: true,
+      width: scaledWidth,
+      height: scaledHeight,
+      image: canvasInitImage,
+    };
+    graph.nodes[MASK_RESIZE_UP] = {
+      type: 'img_resize',
+      id: MASK_RESIZE_UP,
+      is_intermediate: true,
+      width: scaledWidth,
+      height: scaledHeight,
+    };
+    graph.nodes[INPAINT_IMAGE_RESIZE_DOWN] = {
+      type: 'img_resize',
+      id: INPAINT_IMAGE_RESIZE_DOWN,
+      is_intermediate: true,
+      width: width,
+      height: height,
+    };
+    graph.nodes[INPAINT_INFILL_RESIZE_DOWN] = {
+      type: 'img_resize',
+      id: INPAINT_INFILL_RESIZE_DOWN,
+      is_intermediate: true,
+      width: width,
+      height: height,
+    };
+    graph.nodes[MASK_RESIZE_DOWN] = {
+      type: 'img_resize',
+      id: MASK_RESIZE_DOWN,
+      is_intermediate: true,
+      width: width,
+      height: height,
+    };
+
+    graph.nodes[NOISE] = {
+      ...(graph.nodes[NOISE] as NoiseInvocation),
+      width: scaledWidth,
+      height: scaledHeight,
+    };
+
+    // Connect Nodes
+    graph.edges.push(
+      // Scale Inpaint Image
+      {
+        source: {
+          node_id: INPAINT_IMAGE_RESIZE_UP,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_INFILL,
+          field: 'image',
+        },
+      },
+      // Take combined mask and resize and then blur
+      {
+        source: {
+          node_id: MASK_COMBINE,
+          field: 'image',
+        },
+        destination: {
+          node_id: MASK_RESIZE_UP,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_RESIZE_UP,
+          field: 'image',
+        },
+        destination: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+      },
+      // Resize Results Down
+      {
+        source: {
+          node_id: LATENTS_TO_IMAGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_IMAGE_RESIZE_DOWN,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+        destination: {
+          node_id: MASK_RESIZE_DOWN,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_INFILL,
+          field: 'image',
+        },
+        destination: {
+          node_id: INPAINT_INFILL_RESIZE_DOWN,
+          field: 'image',
+        },
+      },
+      // Color Correct The Inpainted Result
+      {
+        source: {
+          node_id: INPAINT_INFILL_RESIZE_DOWN,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'reference',
+        },
+      },
+      {
+        source: {
+          node_id: INPAINT_IMAGE_RESIZE_DOWN,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_RESIZE_DOWN,
+          field: 'image',
+        },
+        destination: {
+          node_id: COLOR_CORRECT,
+          field: 'mask',
+        },
+      },
+      // Paste Everything Back
+      {
+        source: {
+          node_id: INPAINT_INFILL_RESIZE_DOWN,
+          field: 'image',
+        },
+        destination: {
+          node_id: CANVAS_OUTPUT,
+          field: 'base_image',
+        },
+      },
+      {
+        source: {
+          node_id: COLOR_CORRECT,
+          field: 'image',
+        },
+        destination: {
+          node_id: CANVAS_OUTPUT,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_RESIZE_DOWN,
+          field: 'image',
+        },
+        destination: {
+          node_id: CANVAS_OUTPUT,
+          field: 'mask',
+        },
+      }
+    );
+  } else {
+    // Add Images To Nodes
+    graph.nodes[INPAINT_INFILL] = {
+      ...(graph.nodes[INPAINT_INFILL] as
+        | InfillTileInvocation
+        | InfillPatchmatchInvocation),
+      image: canvasInitImage,
+    };
+    graph.nodes[NOISE] = {
+      ...(graph.nodes[NOISE] as NoiseInvocation),
+      width: width,
+      height: height,
+    };
+    graph.nodes[INPAINT_IMAGE] = {
+      ...(graph.nodes[INPAINT_IMAGE] as ImageToLatentsInvocation),
+      image: canvasInitImage,
+    };
+    graph.nodes[MASK_BLUR] = {
+      ...(graph.nodes[MASK_BLUR] as ImageBlurInvocation),
+      image: canvasMaskImage,
+    };
+
+    graph.edges.push(
+      // Take combined mask and plug it to blur
+      {
+        source: {
+          node_id: MASK_COMBINE,
+          field: 'image',
+        },
+        destination: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+      },
       // Color Correct The Inpainted Result
       {
         source: {
@@ -405,7 +613,7 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'mask',
         },
       },
-      // Paste Back Outpainted Image on Original
+      // Paste Everything Back
       {
         source: {
           node_id: INPAINT_INFILL,
@@ -435,19 +643,11 @@ export const buildCanvasSDXLOutpaintGraph = (
           node_id: CANVAS_OUTPUT,
           field: 'mask',
         },
-      },
-    ],
-  };
-
-  // Add Refiner if enabled
-  if (shouldUseSDXLRefiner) {
-    addSDXLRefinerToGraph(state, graph, SDXL_DENOISE_LATENTS);
+      }
+    );
   }
 
-  // optionally add custom VAE
-  addVAEToGraph(state, graph, SDXL_MODEL_LOADER);
-
-  // handle seed
+  // Handle seed
   if (shouldRandomizeSeed) {
     // Random int node to generate the starting seed
     const randomIntNode: RandomIntInvocation = {
@@ -467,6 +667,14 @@ export const buildCanvasSDXLOutpaintGraph = (
     (graph.nodes[RANGE_OF_SIZE] as RangeOfSizeInvocation).start = seed;
   }
 
+  // Add Refiner if enabled
+  if (shouldUseSDXLRefiner) {
+    addSDXLRefinerToGraph(state, graph, SDXL_DENOISE_LATENTS);
+  }
+
+  // optionally add custom VAE
+  addVAEToGraph(state, graph, SDXL_MODEL_LOADER);
+
   // add LoRA support
   addSDXLLoRAsToGraph(state, graph, SDXL_DENOISE_LATENTS, SDXL_MODEL_LOADER);
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index f1654383dd..3e213120b3 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -21,12 +21,18 @@ export const CANVAS_OUTPUT = 'canvas_output';
 export const INPAINT = 'inpaint';
 export const INPAINT_SEAM_FIX = 'inpaint_seam_fix';
 export const INPAINT_IMAGE = 'inpaint_image';
+export const SCALED_INPAINT_IMAGE = 'scaled_inpaint_image';
+export const INPAINT_IMAGE_RESIZE_UP = 'inpaint_image_resize_up';
+export const INPAINT_IMAGE_RESIZE_DOWN = 'inpaint_image_resize_down';
 export const INPAINT_INFILL = 'inpaint_infill';
+export const INPAINT_INFILL_RESIZE_DOWN = 'inpaint_infill_resize_down';
 export const INPAINT_FINAL_IMAGE = 'inpaint_final_image';
 export const MASK_FROM_ALPHA = 'tomask';
 export const MASK_EDGE = 'mask_edge';
 export const MASK_BLUR = 'mask_blur';
 export const MASK_COMBINE = 'mask_combine';
+export const MASK_RESIZE_UP = 'mask_resize_up';
+export const MASK_RESIZE_DOWN = 'mask_resize_down';
 export const COLOR_CORRECT = 'color_correct';
 export const PASTE_IMAGE = 'img_paste';
 export const CONTROL_NET_COLLECT = 'control_net_collect';
diff --git a/invokeai/frontend/web/src/services/api/types.ts b/invokeai/frontend/web/src/services/api/types.ts
index 471c995f4d..435b605489 100644
--- a/invokeai/frontend/web/src/services/api/types.ts
+++ b/invokeai/frontend/web/src/services/api/types.ts
@@ -184,6 +184,15 @@ export type ImageNSFWBlurInvocation = TypeReq<
 export type ImageWatermarkInvocation = TypeReq<
   components['schemas']['ImageWatermarkInvocation']
 >;
+export type ImageBlurInvocation = TypeReq<
+  components['schemas']['ImageBlurInvocation']
+>;
+export type ColorCorrectInvocation = TypeReq<
+  components['schemas']['ColorCorrectInvocation']
+>;
+export type ImagePasteInvocation = TypeReq<
+  components['schemas']['ImagePasteInvocation']
+>;
 
 // ControlNet Nodes
 export type ControlNetInvocation = TypeReq<

From 33779b6339a471f87f8f068479d1061e97612da8 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sun, 13 Aug 2023 21:16:37 +1200
Subject: [PATCH 190/287] chore: Remove shouldFitToWidthHeight from Inpaint
 Graphs

Was never used for inpainting but was fed to the node anyway.
---
 .../features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts | 1 -
 .../nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts         | 1 -
 .../nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts      | 1 -
 .../nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts     | 1 -
 4 files changed, 4 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
index 00af964350..6b0da8e197 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasInpaintGraph.ts
@@ -53,7 +53,6 @@ export const buildCanvasInpaintGraph = (
     scheduler,
     steps,
     img2imgStrength: strength,
-    shouldFitToWidthHeight,
     iterations,
     seed,
     shouldRandomizeSeed,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
index 2eb70884cf..23f6acb539 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
@@ -59,7 +59,6 @@ export const buildCanvasOutpaintGraph = (
     scheduler,
     steps,
     img2imgStrength: strength,
-    shouldFitToWidthHeight,
     iterations,
     seed,
     shouldRandomizeSeed,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
index 13ba385a66..570439f9e6 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
@@ -53,7 +53,6 @@ export const buildCanvasSDXLInpaintGraph = (
     scheduler,
     steps,
     img2imgStrength: strength,
-    shouldFitToWidthHeight,
     iterations,
     seed,
     shouldRandomizeSeed,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index 7dc46ababf..404f3501dd 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -59,7 +59,6 @@ export const buildCanvasSDXLOutpaintGraph = (
     scheduler,
     steps,
     img2imgStrength: strength,
-    shouldFitToWidthHeight,
     iterations,
     seed,
     shouldRandomizeSeed,

From 3ff9961bda9d1739afca6c0446779133694a3d67 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sun, 13 Aug 2023 21:26:20 +1200
Subject: [PATCH 191/287] fix: Circular dependency in Mask Blur Method

---
 .../Canvas/MaskAdjustment/ParamMaskBlurMethod.tsx |  2 +-
 .../features/parameters/store/generationSlice.ts  |  7 ++++---
 .../features/parameters/types/parameterSchemas.ts | 15 +++++++++++++++
 3 files changed, 20 insertions(+), 4 deletions(-)

diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskBlurMethod.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskBlurMethod.tsx
index b45dc8b884..fa20dcdbcc 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskBlurMethod.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskBlurMethod.tsx
@@ -6,7 +6,7 @@ import IAIMantineSelect from 'common/components/IAIMantineSelect';
 import { setMaskBlurMethod } from 'features/parameters/store/generationSlice';
 import { useTranslation } from 'react-i18next';
 
-export type MaskBlurMethods = 'box' | 'gaussian';
+type MaskBlurMethods = 'box' | 'gaussian';
 
 const maskBlurMethods: SelectItem[] = [
   { label: 'Box Blur', value: 'box' },
diff --git a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
index 33a76da4e6..0173391833 100644
--- a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
+++ b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
@@ -4,12 +4,13 @@ import { roundToMultiple } from 'common/util/roundDownToMultiple';
 import { configChanged } from 'features/system/store/configSlice';
 import { clamp } from 'lodash-es';
 import { ImageDTO } from 'services/api/types';
-import { MaskBlurMethods } from '../components/Parameters/Canvas/MaskAdjustment/ParamMaskBlurMethod';
+
 import { clipSkipMap } from '../types/constants';
 import {
   CfgScaleParam,
   HeightParam,
   MainModelParam,
+  MaskBlurMethodParam,
   NegativePromptParam,
   OnnxModelParam,
   PositivePromptParam,
@@ -35,7 +36,7 @@ export interface GenerationState {
   negativePrompt: NegativePromptParam;
   scheduler: SchedulerParam;
   maskBlur: number;
-  maskBlurMethod: MaskBlurMethods;
+  maskBlurMethod: MaskBlurMethodParam;
   seed: SeedParam;
   seedWeights: string;
   shouldFitToWidthHeight: boolean;
@@ -196,7 +197,7 @@ export const generationSlice = createSlice({
     setMaskBlur: (state, action: PayloadAction<number>) => {
       state.maskBlur = action.payload;
     },
-    setMaskBlurMethod: (state, action: PayloadAction<MaskBlurMethods>) => {
+    setMaskBlurMethod: (state, action: PayloadAction<MaskBlurMethodParam>) => {
       state.maskBlurMethod = action.payload;
     },
     setTileSize: (state, action: PayloadAction<number>) => {
diff --git a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
index ac799ac600..5221bf64a9 100644
--- a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
+++ b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
@@ -385,6 +385,21 @@ export const isValidSDXLRefinerStart = (
   val: unknown
 ): val is SDXLRefinerStartParam => zSDXLRefinerstart.safeParse(val).success;
 
+/**
+ * Zod schema for a mask blur method parameter
+ */
+export const zMaskBlurMethod = z.enum(['box', 'gaussian']);
+/**
+ * Type alias for mask blur method parameter, inferred from its zod schema
+ */
+export type MaskBlurMethodParam = z.infer<typeof zMaskBlurMethod>;
+/**
+ * Validates/type-guards a value as a mask blur method parameter
+ */
+export const isValidMaskBlurMethod = (
+  val: unknown
+): val is MaskBlurMethodParam => zMaskBlurMethod.safeParse(val).success;
+
 // /**
 //  * Zod schema for BaseModelType
 //  */

From 561951ad988c53ffdfc3871a850f68096f69e1ed Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Sun, 13 Aug 2023 21:28:39 +1200
Subject: [PATCH 192/287] chore: Black linting

---
 invokeai/app/invocations/compel.py            | 12 +++--
 invokeai/app/invocations/latent.py            |  4 +-
 .../stable_diffusion/diffusers_pipeline.py    | 19 ++++---
 .../diffusion/shared_invokeai_diffusion.py    | 53 +++++++++++--------
 4 files changed, 52 insertions(+), 36 deletions(-)

diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index 484d813dea..2a56bd04ab 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -294,11 +294,17 @@ class SDXLCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
 
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> CompelOutput:
-        c1, c1_pooled, ec1 = self.run_clip_compel(context, self.clip, self.prompt, False, "lora_te1_", zero_on_empty=False)
+        c1, c1_pooled, ec1 = self.run_clip_compel(
+            context, self.clip, self.prompt, False, "lora_te1_", zero_on_empty=False
+        )
         if self.style.strip() == "":
-            c2, c2_pooled, ec2 = self.run_clip_compel(context, self.clip2, self.prompt, True, "lora_te2_", zero_on_empty=True)
+            c2, c2_pooled, ec2 = self.run_clip_compel(
+                context, self.clip2, self.prompt, True, "lora_te2_", zero_on_empty=True
+            )
         else:
-            c2, c2_pooled, ec2 = self.run_clip_compel(context, self.clip2, self.style, True, "lora_te2_", zero_on_empty=True)
+            c2, c2_pooled, ec2 = self.run_clip_compel(
+                context, self.clip2, self.style, True, "lora_te2_", zero_on_empty=True
+            )
 
         original_size = (self.original_height, self.original_width)
         crop_coords = (self.crop_top, self.crop_left)
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index fc934618cf..8e8d2b2fc9 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -320,7 +320,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
     def init_scheduler(self, scheduler, device, steps, denoising_start, denoising_end):
         if scheduler.config.get("cpu_only", False):
             device = torch.device("cpu")
-        
+
         num_inference_steps = steps
         scheduler.set_timesteps(num_inference_steps, device=device)
         timesteps = scheduler.timesteps
@@ -344,7 +344,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
         # calculate step count based on scheduler order
         num_inference_steps = len(timesteps)
         if scheduler.order == 2:
-            num_inference_steps += (num_inference_steps % 2)
+            num_inference_steps += num_inference_steps % 2
             num_inference_steps = num_inference_steps // 2
 
         return num_inference_steps, timesteps, init_timestep
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 8e0edb3c30..516e901971 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -202,8 +202,8 @@ class ControlNetData:
 
 @dataclass
 class ConditioningData:
-    unconditioned_embeddings: Any # TODO: type
-    text_embeddings: Any # TODO: type
+    unconditioned_embeddings: Any  # TODO: type
+    text_embeddings: Any  # TODO: type
     guidance_scale: Union[float, List[float]]
     """
     Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598).
@@ -389,19 +389,17 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         batched_t = init_timestep.repeat(batch_size)
 
         if noise is not None:
-            #latents = noise * self.scheduler.init_noise_sigma # it's like in t2l according to diffusers
+            # latents = noise * self.scheduler.init_noise_sigma # it's like in t2l according to diffusers
             latents = self.scheduler.add_noise(latents, noise, batched_t)
 
         if mask is not None:
             if is_inpainting_model(self.unet):
                 # You'd think the inpainting model wouldn't be paying attention to the area it is going to repaint
                 # (that's why there's a mask!) but it seems to really want that blanked out.
-                #masked_latents = latents * torch.where(mask < 0.5, 1, 0) TODO: inpaint/outpaint/infill
+                # masked_latents = latents * torch.where(mask < 0.5, 1, 0) TODO: inpaint/outpaint/infill
 
                 # TODO: we should probably pass this in so we don't have to try/finally around setting it.
-                self.invokeai_diffuser.model_forward_callback = AddsMaskLatents(
-                    self._unet_forward, mask, orig_latents
-                )
+                self.invokeai_diffuser.model_forward_callback = AddsMaskLatents(self._unet_forward, mask, orig_latents)
             else:
                 # if no noise provided, noisify unmasked area based on seed(or 0 as fallback)
                 if noise is None:
@@ -413,7 +411,9 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                     ).to(device=orig_latents.device, dtype=orig_latents.dtype)
 
                     latents = self.scheduler.add_noise(latents, noise, batched_t)
-                    latents = torch.lerp(orig_latents, latents.to(dtype=orig_latents.dtype), mask.to(dtype=orig_latents.dtype))
+                    latents = torch.lerp(
+                        orig_latents, latents.to(dtype=orig_latents.dtype), mask.to(dtype=orig_latents.dtype)
+                    )
 
                 additional_guidance.append(AddsMaskGuidance(mask, orig_latents, self.scheduler, noise))
 
@@ -549,11 +549,10 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
 
         uc_noise_pred, c_noise_pred = self.invokeai_diffuser.do_unet_step(
             sample=latent_model_input,
-            timestep=t, # TODO: debug how handled batched and non batched timesteps
+            timestep=t,  # TODO: debug how handled batched and non batched timesteps
             step_index=step_index,
             total_step_count=total_step_count,
             conditioning_data=conditioning_data,
-
             # extra:
             down_block_additional_residuals=controlnet_down_block_samples,  # from controlnet(s)
             mid_block_additional_residual=controlnet_mid_block_sample,  # from controlnet(s)
diff --git a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
index 9b1630dc3a..e739855b9e 100644
--- a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
+++ b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
@@ -202,15 +202,21 @@ class InvokeAIDiffuserComponent:
                 else:
                     if type(conditioning_data.text_embeddings) is SDXLConditioningInfo:
                         added_cond_kwargs = {
-                            "text_embeds": torch.cat([
-                                # TODO: how to pad? just by zeros? or even truncate?
-                                conditioning_data.unconditioned_embeddings.pooled_embeds,
-                                conditioning_data.text_embeddings.pooled_embeds,
-                            ], dim=0),
-                            "time_ids": torch.cat([
-                                conditioning_data.unconditioned_embeddings.add_time_ids,
-                                conditioning_data.text_embeddings.add_time_ids,
-                            ], dim=0),
+                            "text_embeds": torch.cat(
+                                [
+                                    # TODO: how to pad? just by zeros? or even truncate?
+                                    conditioning_data.unconditioned_embeddings.pooled_embeds,
+                                    conditioning_data.text_embeddings.pooled_embeds,
+                                ],
+                                dim=0,
+                            ),
+                            "time_ids": torch.cat(
+                                [
+                                    conditioning_data.unconditioned_embeddings.add_time_ids,
+                                    conditioning_data.text_embeddings.add_time_ids,
+                                ],
+                                dim=0,
+                            ),
                         }
                     (
                         encoder_hidden_states,
@@ -260,7 +266,7 @@ class InvokeAIDiffuserComponent:
         self,
         sample: torch.Tensor,
         timestep: torch.Tensor,
-        conditioning_data, # TODO: type
+        conditioning_data,  # TODO: type
         step_index: int,
         total_step_count: int,
         **kwargs,
@@ -380,20 +386,25 @@ class InvokeAIDiffuserComponent:
         added_cond_kwargs = None
         if type(conditioning_data.text_embeddings) is SDXLConditioningInfo:
             added_cond_kwargs = {
-                "text_embeds": torch.cat([
-                    # TODO: how to pad? just by zeros? or even truncate?
-                    conditioning_data.unconditioned_embeddings.pooled_embeds,
-                    conditioning_data.text_embeddings.pooled_embeds,
-                ], dim=0),
-                "time_ids": torch.cat([
-                    conditioning_data.unconditioned_embeddings.add_time_ids,
-                    conditioning_data.text_embeddings.add_time_ids,
-                ], dim=0),
+                "text_embeds": torch.cat(
+                    [
+                        # TODO: how to pad? just by zeros? or even truncate?
+                        conditioning_data.unconditioned_embeddings.pooled_embeds,
+                        conditioning_data.text_embeddings.pooled_embeds,
+                    ],
+                    dim=0,
+                ),
+                "time_ids": torch.cat(
+                    [
+                        conditioning_data.unconditioned_embeddings.add_time_ids,
+                        conditioning_data.text_embeddings.add_time_ids,
+                    ],
+                    dim=0,
+                ),
             }
 
         both_conditionings, encoder_attention_mask = self._concat_conditionings_for_batch(
-            conditioning_data.unconditioned_embeddings.embeds,
-            conditioning_data.text_embeddings.embeds
+            conditioning_data.unconditioned_embeddings.embeds, conditioning_data.text_embeddings.embeds
         )
         both_results = self.model_forward_callback(
             x_twice,

From 9e2e82a75250f28d0be9cd10fd89851cb2b682d2 Mon Sep 17 00:00:00 2001
From: greatwolf <github.greatwolf@mamber.net>
Date: Sun, 13 Aug 2023 05:15:55 -0700
Subject: [PATCH 193/287] Fixed import issue in
 invokeai/frontend/install/model_install.py

This fixes an import issue introduced in commit 1bfe983.
The change made 'invokeai_configure' into a module but this line still tries to call it as if it's a function. This will result in a `'module' not callable` error.
---
 invokeai/frontend/install/model_install.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/install/model_install.py b/invokeai/frontend/install/model_install.py
index 55e45931e3..ade3043d96 100644
--- a/invokeai/frontend/install/model_install.py
+++ b/invokeai/frontend/install/model_install.py
@@ -775,7 +775,7 @@ def main():
 
     if not config.model_conf_path.exists():
         logger.info("Your InvokeAI root directory is not set up. Calling invokeai-configure.")
-        from invokeai.frontend.install import invokeai_configure
+        from invokeai.frontend.install.invokeai_configure import invokeai_configure
 
         invokeai_configure()
         sys.exit(0)

From 0aba105a8f1f3fddd3db990787d503469d6ad0f1 Mon Sep 17 00:00:00 2001
From: greatwolf <github.greatwolf@mamber.net>
Date: Sun, 13 Aug 2023 05:32:35 -0700
Subject: [PATCH 194/287] Missed a spot in configure_invokeai.py

---
 scripts/configure_invokeai.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/configure_invokeai.py b/scripts/configure_invokeai.py
index 61d32b6df5..b40194c6ce 100755
--- a/scripts/configure_invokeai.py
+++ b/scripts/configure_invokeai.py
@@ -2,7 +2,7 @@
 # Copyright (c) 2022 Lincoln D. Stein (https://github.com/lstein)
 
 import warnings
-from invokeai.frontend.install import invokeai_configure as configure
+from invokeai.frontend.install.invokeai_configure import invokeai_configure as configure
 
 if __name__ == "__main__":
     warnings.warn("configure_invokeai.py is deprecated, running 'invokeai-configure'...", DeprecationWarning)

From 90fa3eebb3d0e10e40435b0c49670893b72a67e2 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Mon, 14 Aug 2023 02:25:39 +1200
Subject: [PATCH 195/287] feat: Make SDXL Style Prompt not take spaces

---
 .../graphBuilders/addSDXLRefinerToGraph.ts    | 12 ++++----
 .../buildCanvasSDXLImageToImageGraph.ts       | 17 ++++++-----
 .../buildCanvasSDXLInpaintGraph.ts            | 22 ++++++---------
 .../buildCanvasSDXLOutpaintGraph.ts           | 22 ++++++---------
 .../buildCanvasSDXLTextToImageGraph.ts        | 23 +++++++--------
 .../buildLinearSDXLImageToImageGraph.ts       | 13 +++++----
 .../buildLinearSDXLTextToImageGraph.ts        | 15 +++++-----
 .../helpers/craftSDXLStylePrompt.ts           | 28 +++++++++++++++++++
 8 files changed, 86 insertions(+), 66 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/nodes/util/graphBuilders/helpers/craftSDXLStylePrompt.ts

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
index 65664c9f2d..53f068c91b 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
@@ -16,18 +16,16 @@ import {
   SDXL_REFINER_NEGATIVE_CONDITIONING,
   SDXL_REFINER_POSITIVE_CONDITIONING,
 } from './constants';
+import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
 
 export const addSDXLRefinerToGraph = (
   state: RootState,
   graph: NonNullableGraph,
   baseNodeId: string
 ): void => {
-  const { positivePrompt, negativePrompt } = state.generation;
   const {
     refinerModel,
     refinerAestheticScore,
-    positiveStylePrompt,
-    negativeStylePrompt,
     refinerSteps,
     refinerScheduler,
     refinerCFGScale,
@@ -49,6 +47,10 @@ export const addSDXLRefinerToGraph = (
     metadataAccumulator.refiner_steps = refinerSteps;
   }
 
+  // Construct Style Prompt
+  const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } =
+    craftSDXLStylePrompt(state, true);
+
   // Unplug SDXL Latents Generation To Latents To Image
   graph.edges = graph.edges.filter(
     (e) =>
@@ -71,13 +73,13 @@ export const addSDXLRefinerToGraph = (
   graph.nodes[SDXL_REFINER_POSITIVE_CONDITIONING] = {
     type: 'sdxl_refiner_compel_prompt',
     id: SDXL_REFINER_POSITIVE_CONDITIONING,
-    style: `${positivePrompt} ${positiveStylePrompt}`,
+    style: craftedPositiveStylePrompt,
     aesthetic_score: refinerAestheticScore,
   };
   graph.nodes[SDXL_REFINER_NEGATIVE_CONDITIONING] = {
     type: 'sdxl_refiner_compel_prompt',
     id: SDXL_REFINER_NEGATIVE_CONDITIONING,
-    style: `${negativePrompt} ${negativeStylePrompt}`,
+    style: craftedNegativeStylePrompt,
     aesthetic_score: refinerAestheticScore,
   };
   graph.nodes[SDXL_REFINER_DENOISE_LATENTS] = {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
index a45ffe7df5..ef32943bc8 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLImageToImageGraph.ts
@@ -26,6 +26,7 @@ import {
   SDXL_DENOISE_LATENTS,
   SDXL_MODEL_LOADER,
 } from './constants';
+import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
 
 /**
  * Builds the Canvas tab's Image to Image graph.
@@ -49,12 +50,10 @@ export const buildCanvasSDXLImageToImageGraph = (
   } = state.generation;
 
   const {
-    positiveStylePrompt,
-    negativeStylePrompt,
-    shouldConcatSDXLStylePrompt,
     shouldUseSDXLRefiner,
     refinerStart,
     sdxlImg2ImgDenoisingStrength: strength,
+    shouldConcatSDXLStylePrompt,
   } = state.sdxl;
 
   // The bounding box determines width and height, not the width and height params
@@ -71,6 +70,10 @@ export const buildCanvasSDXLImageToImageGraph = (
     ? shouldUseCpuNoise
     : initialGenerationState.shouldUseCpuNoise;
 
+  // Construct Style Prompt
+  const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } =
+    craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt);
+
   /**
    * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
    * full graph here as a template. Then use the parameters from app state and set friendlier node
@@ -93,17 +96,13 @@ export const buildCanvasSDXLImageToImageGraph = (
         type: 'sdxl_compel_prompt',
         id: POSITIVE_CONDITIONING,
         prompt: positivePrompt,
-        style: shouldConcatSDXLStylePrompt
-          ? `${positivePrompt} ${positiveStylePrompt}`
-          : positiveStylePrompt,
+        style: craftedPositiveStylePrompt,
       },
       [NEGATIVE_CONDITIONING]: {
         type: 'sdxl_compel_prompt',
         id: NEGATIVE_CONDITIONING,
         prompt: negativePrompt,
-        style: shouldConcatSDXLStylePrompt
-          ? `${negativePrompt} ${negativeStylePrompt}`
-          : negativeStylePrompt,
+        style: craftedNegativeStylePrompt,
       },
       [NOISE]: {
         type: 'noise',
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
index 570439f9e6..7d8586d09c 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
@@ -35,6 +35,7 @@ import {
   SDXL_DENOISE_LATENTS,
   SDXL_MODEL_LOADER,
 } from './constants';
+import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
 
 /**
  * Builds the Canvas tab's Inpaint graph.
@@ -63,13 +64,8 @@ export const buildCanvasSDXLInpaintGraph = (
     maskBlurMethod,
   } = state.generation;
 
-  const {
-    positiveStylePrompt,
-    negativeStylePrompt,
-    shouldConcatSDXLStylePrompt,
-    shouldUseSDXLRefiner,
-    refinerStart,
-  } = state.sdxl;
+  const { shouldUseSDXLRefiner, refinerStart, shouldConcatSDXLStylePrompt } =
+    state.sdxl;
 
   if (!model) {
     log.error('No model found in state');
@@ -90,6 +86,10 @@ export const buildCanvasSDXLInpaintGraph = (
     ? shouldUseCpuNoise
     : shouldUseCpuNoise;
 
+  // Construct Style Prompt
+  const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } =
+    craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt);
+
   const graph: NonNullableGraph = {
     id: SDXL_CANVAS_INPAINT_GRAPH,
     nodes: {
@@ -102,17 +102,13 @@ export const buildCanvasSDXLInpaintGraph = (
         type: 'sdxl_compel_prompt',
         id: POSITIVE_CONDITIONING,
         prompt: positivePrompt,
-        style: shouldConcatSDXLStylePrompt
-          ? `${positivePrompt} ${positiveStylePrompt}`
-          : positiveStylePrompt,
+        style: craftedPositiveStylePrompt,
       },
       [NEGATIVE_CONDITIONING]: {
         type: 'sdxl_compel_prompt',
         id: NEGATIVE_CONDITIONING,
         prompt: negativePrompt,
-        style: shouldConcatSDXLStylePrompt
-          ? `${negativePrompt} ${negativeStylePrompt}`
-          : negativeStylePrompt,
+        style: craftedNegativeStylePrompt,
       },
       [MASK_BLUR]: {
         type: 'img_blur',
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index 404f3501dd..b5260894c4 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -41,6 +41,7 @@ import {
   SDXL_DENOISE_LATENTS,
   SDXL_MODEL_LOADER,
 } from './constants';
+import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
 
 /**
  * Builds the Canvas tab's Outpaint graph.
@@ -71,13 +72,8 @@ export const buildCanvasSDXLOutpaintGraph = (
     infillMethod,
   } = state.generation;
 
-  const {
-    positiveStylePrompt,
-    negativeStylePrompt,
-    shouldConcatSDXLStylePrompt,
-    shouldUseSDXLRefiner,
-    refinerStart,
-  } = state.sdxl;
+  const { shouldUseSDXLRefiner, refinerStart, shouldConcatSDXLStylePrompt } =
+    state.sdxl;
 
   if (!model) {
     log.error('No model found in state');
@@ -98,6 +94,10 @@ export const buildCanvasSDXLOutpaintGraph = (
     ? shouldUseCpuNoise
     : shouldUseCpuNoise;
 
+  // Construct Style Prompt
+  const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } =
+    craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt);
+
   const graph: NonNullableGraph = {
     id: SDXL_CANVAS_OUTPAINT_GRAPH,
     nodes: {
@@ -110,17 +110,13 @@ export const buildCanvasSDXLOutpaintGraph = (
         type: 'sdxl_compel_prompt',
         id: POSITIVE_CONDITIONING,
         prompt: positivePrompt,
-        style: shouldConcatSDXLStylePrompt
-          ? `${positivePrompt} ${positiveStylePrompt}`
-          : positiveStylePrompt,
+        style: craftedPositiveStylePrompt,
       },
       [NEGATIVE_CONDITIONING]: {
         type: 'sdxl_compel_prompt',
         id: NEGATIVE_CONDITIONING,
         prompt: negativePrompt,
-        style: shouldConcatSDXLStylePrompt
-          ? `${negativePrompt} ${negativeStylePrompt}`
-          : negativeStylePrompt,
+        style: craftedNegativeStylePrompt,
       },
       [MASK_FROM_ALPHA]: {
         type: 'tomask',
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
index da27ace3b0..e79e08ba41 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLTextToImageGraph.ts
@@ -24,6 +24,7 @@ import {
   SDXL_DENOISE_LATENTS,
   SDXL_MODEL_LOADER,
 } from './constants';
+import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
 
 /**
  * Builds the Canvas tab's Text to Image graph.
@@ -50,13 +51,8 @@ export const buildCanvasSDXLTextToImageGraph = (
 
   const { shouldAutoSave } = state.canvas;
 
-  const {
-    positiveStylePrompt,
-    negativeStylePrompt,
-    shouldConcatSDXLStylePrompt,
-    shouldUseSDXLRefiner,
-    refinerStart,
-  } = state.sdxl;
+  const { shouldUseSDXLRefiner, refinerStart, shouldConcatSDXLStylePrompt } =
+    state.sdxl;
 
   if (!model) {
     log.error('No model found in state');
@@ -97,6 +93,11 @@ export const buildCanvasSDXLTextToImageGraph = (
           denoising_start: 0,
           denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
         };
+
+  // Construct Style Prompt
+  const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } =
+    craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt);
+
   /**
    * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
    * full graph here as a template. Then use the parameters from app state and set friendlier node
@@ -122,18 +123,14 @@ export const buildCanvasSDXLTextToImageGraph = (
         id: POSITIVE_CONDITIONING,
         is_intermediate: true,
         prompt: positivePrompt,
-        style: shouldConcatSDXLStylePrompt
-          ? `${positivePrompt} ${positiveStylePrompt}`
-          : positiveStylePrompt,
+        style: craftedPositiveStylePrompt,
       },
       [NEGATIVE_CONDITIONING]: {
         type: isUsingOnnxModel ? 'prompt_onnx' : 'sdxl_compel_prompt',
         id: NEGATIVE_CONDITIONING,
         is_intermediate: true,
         prompt: negativePrompt,
-        style: shouldConcatSDXLStylePrompt
-          ? `${negativePrompt} ${negativeStylePrompt}`
-          : negativeStylePrompt,
+        style: craftedNegativeStylePrompt,
       },
       [NOISE]: {
         type: 'noise',
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index 0d30fe1c63..42ea07c923 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -25,6 +25,7 @@ import {
   SDXL_IMAGE_TO_IMAGE_GRAPH,
   SDXL_MODEL_LOADER,
 } from './constants';
+import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
 
 /**
  * Builds the Image to Image tab graph.
@@ -82,6 +83,10 @@ export const buildLinearSDXLImageToImageGraph = (
     ? shouldUseCpuNoise
     : initialGenerationState.shouldUseCpuNoise;
 
+  // Construct Style Prompt
+  const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } =
+    craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt);
+
   // copy-pasted graph from node editor, filled in with state values & friendly node ids
   const graph: NonNullableGraph = {
     id: SDXL_IMAGE_TO_IMAGE_GRAPH,
@@ -95,17 +100,13 @@ export const buildLinearSDXLImageToImageGraph = (
         type: 'sdxl_compel_prompt',
         id: POSITIVE_CONDITIONING,
         prompt: positivePrompt,
-        style: shouldConcatSDXLStylePrompt
-          ? `${positivePrompt} ${positiveStylePrompt}`
-          : positiveStylePrompt,
+        style: craftedPositiveStylePrompt,
       },
       [NEGATIVE_CONDITIONING]: {
         type: 'sdxl_compel_prompt',
         id: NEGATIVE_CONDITIONING,
         prompt: negativePrompt,
-        style: shouldConcatSDXLStylePrompt
-          ? `${negativePrompt} ${negativeStylePrompt}`
-          : negativeStylePrompt,
+        style: craftedNegativeStylePrompt,
       },
       [NOISE]: {
         type: 'noise',
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
index 595b6f47cd..a74884f23b 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -19,6 +19,7 @@ import {
   SDXL_MODEL_LOADER,
   SDXL_TEXT_TO_IMAGE_GRAPH,
 } from './constants';
+import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
 
 export const buildLinearSDXLTextToImageGraph = (
   state: RootState
@@ -42,8 +43,8 @@ export const buildLinearSDXLTextToImageGraph = (
   const {
     positiveStylePrompt,
     negativeStylePrompt,
-    shouldConcatSDXLStylePrompt,
     shouldUseSDXLRefiner,
+    shouldConcatSDXLStylePrompt,
     refinerStart,
   } = state.sdxl;
 
@@ -56,6 +57,10 @@ export const buildLinearSDXLTextToImageGraph = (
     throw new Error('No model found in state');
   }
 
+  // Construct Style Prompt
+  const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } =
+    craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt);
+
   /**
    * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
    * full graph here as a template. Then use the parameters from app state and set friendlier node
@@ -78,17 +83,13 @@ export const buildLinearSDXLTextToImageGraph = (
         type: 'sdxl_compel_prompt',
         id: POSITIVE_CONDITIONING,
         prompt: positivePrompt,
-        style: shouldConcatSDXLStylePrompt
-          ? `${positivePrompt} ${positiveStylePrompt}`
-          : positiveStylePrompt,
+        style: craftedPositiveStylePrompt,
       },
       [NEGATIVE_CONDITIONING]: {
         type: 'sdxl_compel_prompt',
         id: NEGATIVE_CONDITIONING,
         prompt: negativePrompt,
-        style: shouldConcatSDXLStylePrompt
-          ? `${negativePrompt} ${negativeStylePrompt}`
-          : negativeStylePrompt,
+        style: craftedNegativeStylePrompt,
       },
       [NOISE]: {
         type: 'noise',
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/helpers/craftSDXLStylePrompt.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/helpers/craftSDXLStylePrompt.ts
new file mode 100644
index 0000000000..f46d5cc5dc
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/helpers/craftSDXLStylePrompt.ts
@@ -0,0 +1,28 @@
+import { RootState } from 'app/store/store';
+
+export const craftSDXLStylePrompt = (
+  state: RootState,
+  shouldConcatSDXLStylePrompt: boolean
+) => {
+  const { positivePrompt, negativePrompt } = state.generation;
+  const { positiveStylePrompt, negativeStylePrompt } = state.sdxl;
+
+  let craftedPositiveStylePrompt = positiveStylePrompt;
+  let craftedNegativeStylePrompt = negativeStylePrompt;
+
+  if (shouldConcatSDXLStylePrompt) {
+    if (positiveStylePrompt.length > 0) {
+      craftedPositiveStylePrompt = `${positivePrompt} ${positiveStylePrompt}`;
+    } else {
+      craftedPositiveStylePrompt = positivePrompt;
+    }
+
+    if (negativeStylePrompt.length > 0) {
+      craftedNegativeStylePrompt = `${negativePrompt} ${negativeStylePrompt}`;
+    } else {
+      craftedNegativeStylePrompt = negativePrompt;
+    }
+  }
+
+  return { craftedPositiveStylePrompt, craftedNegativeStylePrompt };
+};

From 499e89d6f64847c6e05e971ca2bc463d2e434103 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Mon, 14 Aug 2023 04:02:36 +1200
Subject: [PATCH 196/287] feat: Add SDXL Negative Aesthetic Score

---
 invokeai/app/invocations/metadata.py          | 10 +++-
 .../graphBuilders/addSDXLRefinerToGraph.ts    | 12 ++--
 .../parameters/hooks/useRecallParameters.ts   | 32 +++++++---
 .../parameters/types/parameterSchemas.ts      | 36 ++++++++---
 .../components/ParamSDXLRefinerCollapse.tsx   |  6 +-
 ...ParamSDXLRefinerNegativeAestheticScore.tsx | 60 +++++++++++++++++++
 ...aramSDXLRefinerPositiveAestheticScore.tsx} | 20 +++----
 .../web/src/features/sdxl/store/sdxlSlice.ts  | 22 +++++--
 .../frontend/web/src/services/api/schema.d.ts | 38 +++++++-----
 9 files changed, 183 insertions(+), 53 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerNegativeAestheticScore.tsx
 rename invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/{ParamSDXLRefinerAestheticScore.tsx => ParamSDXLRefinerPositiveAestheticScore.tsx} (66%)

diff --git a/invokeai/app/invocations/metadata.py b/invokeai/app/invocations/metadata.py
index 4f51bf10b8..d0549f8539 100644
--- a/invokeai/app/invocations/metadata.py
+++ b/invokeai/app/invocations/metadata.py
@@ -67,7 +67,10 @@ class CoreMetadata(BaseModelExcludeNull):
     )
     refiner_steps: Union[int, None] = Field(default=None, description="The number of steps used for the refiner")
     refiner_scheduler: Union[str, None] = Field(default=None, description="The scheduler used for the refiner")
-    refiner_aesthetic_store: Union[float, None] = Field(
+    refiner_positive_aesthetic_store: Union[float, None] = Field(
+        default=None, description="The aesthetic score used for the refiner"
+    )
+    refiner_negative_aesthetic_store: Union[float, None] = Field(
         default=None, description="The aesthetic score used for the refiner"
     )
     refiner_start: Union[float, None] = Field(default=None, description="The start value used for refiner denoising")
@@ -136,7 +139,10 @@ class MetadataAccumulatorInvocation(BaseInvocation):
     )
     refiner_steps: Union[int, None] = Field(default=None, description="The number of steps used for the refiner")
     refiner_scheduler: Union[str, None] = Field(default=None, description="The scheduler used for the refiner")
-    refiner_aesthetic_store: Union[float, None] = Field(
+    refiner_positive_aesthetic_score: Union[float, None] = Field(
+        default=None, description="The aesthetic score used for the refiner"
+    )
+    refiner_negative_aesthetic_score: Union[float, None] = Field(
         default=None, description="The aesthetic score used for the refiner"
     )
     refiner_start: Union[float, None] = Field(default=None, description="The start value used for refiner denoising")
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
index 53f068c91b..577f4e4b7d 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
@@ -25,7 +25,8 @@ export const addSDXLRefinerToGraph = (
 ): void => {
   const {
     refinerModel,
-    refinerAestheticScore,
+    refinerPositiveAestheticScore,
+    refinerNegativeAestheticScore,
     refinerSteps,
     refinerScheduler,
     refinerCFGScale,
@@ -40,7 +41,10 @@ export const addSDXLRefinerToGraph = (
 
   if (metadataAccumulator) {
     metadataAccumulator.refiner_model = refinerModel;
-    metadataAccumulator.refiner_aesthetic_store = refinerAestheticScore;
+    metadataAccumulator.refiner_positive_aesthetic_score =
+      refinerPositiveAestheticScore;
+    metadataAccumulator.refiner_negative_aesthetic_score =
+      refinerNegativeAestheticScore;
     metadataAccumulator.refiner_cfg_scale = refinerCFGScale;
     metadataAccumulator.refiner_scheduler = refinerScheduler;
     metadataAccumulator.refiner_start = refinerStart;
@@ -74,13 +78,13 @@ export const addSDXLRefinerToGraph = (
     type: 'sdxl_refiner_compel_prompt',
     id: SDXL_REFINER_POSITIVE_CONDITIONING,
     style: craftedPositiveStylePrompt,
-    aesthetic_score: refinerAestheticScore,
+    aesthetic_score: refinerPositiveAestheticScore,
   };
   graph.nodes[SDXL_REFINER_NEGATIVE_CONDITIONING] = {
     type: 'sdxl_refiner_compel_prompt',
     id: SDXL_REFINER_NEGATIVE_CONDITIONING,
     style: craftedNegativeStylePrompt,
-    aesthetic_score: refinerAestheticScore,
+    aesthetic_score: refinerNegativeAestheticScore,
   };
   graph.nodes[SDXL_REFINER_DENOISE_LATENTS] = {
     type: 'denoise_latents',
diff --git a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
index 907107e95e..95caf9a9e1 100644
--- a/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
+++ b/invokeai/frontend/web/src/features/parameters/hooks/useRecallParameters.ts
@@ -4,16 +4,16 @@ import {
   refinerModelChanged,
   setNegativeStylePromptSDXL,
   setPositiveStylePromptSDXL,
-  setRefinerAestheticScore,
   setRefinerCFGScale,
+  setRefinerNegativeAestheticScore,
+  setRefinerPositiveAestheticScore,
   setRefinerScheduler,
   setRefinerStart,
   setRefinerSteps,
 } from 'features/sdxl/store/sdxlSlice';
 import { useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
-import { UnsafeImageMetadata } from 'services/api/types';
-import { ImageDTO } from 'services/api/types';
+import { ImageDTO, UnsafeImageMetadata } from 'services/api/types';
 import { initialImageSelected, modelSelected } from '../store/actions';
 import {
   setCfgScale,
@@ -34,8 +34,9 @@ import {
   isValidPositivePrompt,
   isValidSDXLNegativeStylePrompt,
   isValidSDXLPositiveStylePrompt,
-  isValidSDXLRefinerAestheticScore,
   isValidSDXLRefinerModel,
+  isValidSDXLRefinerNegativeAestheticScore,
+  isValidSDXLRefinerPositiveAestheticScore,
   isValidSDXLRefinerStart,
   isValidScheduler,
   isValidSeed,
@@ -339,7 +340,8 @@ export const useRecallParameters = () => {
         refiner_cfg_scale,
         refiner_steps,
         refiner_scheduler,
-        refiner_aesthetic_store,
+        refiner_positive_aesthetic_store,
+        refiner_negative_aesthetic_store,
         refiner_start,
       } = metadata;
 
@@ -398,8 +400,24 @@ export const useRecallParameters = () => {
         dispatch(setRefinerScheduler(refiner_scheduler));
       }
 
-      if (isValidSDXLRefinerAestheticScore(refiner_aesthetic_store)) {
-        dispatch(setRefinerAestheticScore(refiner_aesthetic_store));
+      if (
+        isValidSDXLRefinerPositiveAestheticScore(
+          refiner_positive_aesthetic_store
+        )
+      ) {
+        dispatch(
+          setRefinerPositiveAestheticScore(refiner_positive_aesthetic_store)
+        );
+      }
+
+      if (
+        isValidSDXLRefinerNegativeAestheticScore(
+          refiner_negative_aesthetic_store
+        )
+      ) {
+        dispatch(
+          setRefinerNegativeAestheticScore(refiner_negative_aesthetic_store)
+        );
       }
 
       if (isValidSDXLRefinerStart(refiner_start)) {
diff --git a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
index 5221bf64a9..25905e1e14 100644
--- a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
+++ b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
@@ -353,22 +353,40 @@ export const isValidPrecision = (val: unknown): val is PrecisionParam =>
   zPrecision.safeParse(val).success;
 
 /**
- * Zod schema for SDXL refiner aesthetic score parameter
+ * Zod schema for SDXL refiner positive aesthetic score parameter
  */
-export const zSDXLRefinerAestheticScore = z.number().min(1).max(10);
+export const zSDXLRefinerPositiveAestheticScore = z.number().min(1).max(10);
 /**
- * Type alias for SDXL refiner aesthetic score parameter, inferred from its zod schema
+ * Type alias for SDXL refiner aesthetic positive score parameter, inferred from its zod schema
  */
-export type SDXLRefinerAestheticScoreParam = z.infer<
-  typeof zSDXLRefinerAestheticScore
+export type SDXLRefinerPositiveAestheticScoreParam = z.infer<
+  typeof zSDXLRefinerPositiveAestheticScore
 >;
 /**
- * Validates/type-guards a value as a SDXL refiner aesthetic score parameter
+ * Validates/type-guards a value as a SDXL refiner positive aesthetic score parameter
  */
-export const isValidSDXLRefinerAestheticScore = (
+export const isValidSDXLRefinerPositiveAestheticScore = (
   val: unknown
-): val is SDXLRefinerAestheticScoreParam =>
-  zSDXLRefinerAestheticScore.safeParse(val).success;
+): val is SDXLRefinerPositiveAestheticScoreParam =>
+  zSDXLRefinerPositiveAestheticScore.safeParse(val).success;
+
+/**
+ * Zod schema for SDXL refiner negative aesthetic score parameter
+ */
+export const zSDXLRefinerNegativeAestheticScore = z.number().min(1).max(10);
+/**
+ * Type alias for SDXL refiner aesthetic negative score parameter, inferred from its zod schema
+ */
+export type SDXLRefinerNegativeAestheticScoreParam = z.infer<
+  typeof zSDXLRefinerNegativeAestheticScore
+>;
+/**
+ * Validates/type-guards a value as a SDXL refiner negative aesthetic score parameter
+ */
+export const isValidSDXLRefinerNegativeAestheticScore = (
+  val: unknown
+): val is SDXLRefinerNegativeAestheticScoreParam =>
+  zSDXLRefinerNegativeAestheticScore.safeParse(val).success;
 
 /**
  * Zod schema for SDXL start parameter
diff --git a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx
index 37e1718dc6..3b186006f1 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/ParamSDXLRefinerCollapse.tsx
@@ -4,9 +4,10 @@ import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAICollapse from 'common/components/IAICollapse';
-import ParamSDXLRefinerAestheticScore from './SDXLRefiner/ParamSDXLRefinerAestheticScore';
 import ParamSDXLRefinerCFGScale from './SDXLRefiner/ParamSDXLRefinerCFGScale';
 import ParamSDXLRefinerModelSelect from './SDXLRefiner/ParamSDXLRefinerModelSelect';
+import ParamSDXLRefinerNegativeAestheticScore from './SDXLRefiner/ParamSDXLRefinerNegativeAestheticScore';
+import ParamSDXLRefinerPositiveAestheticScore from './SDXLRefiner/ParamSDXLRefinerPositiveAestheticScore';
 import ParamSDXLRefinerScheduler from './SDXLRefiner/ParamSDXLRefinerScheduler';
 import ParamSDXLRefinerStart from './SDXLRefiner/ParamSDXLRefinerStart';
 import ParamSDXLRefinerSteps from './SDXLRefiner/ParamSDXLRefinerSteps';
@@ -38,7 +39,8 @@ const ParamSDXLRefinerCollapse = () => {
           <ParamSDXLRefinerCFGScale />
         </Flex>
         <ParamSDXLRefinerScheduler />
-        <ParamSDXLRefinerAestheticScore />
+        <ParamSDXLRefinerPositiveAestheticScore />
+        <ParamSDXLRefinerNegativeAestheticScore />
         <ParamSDXLRefinerStart />
       </Flex>
     </IAICollapse>
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerNegativeAestheticScore.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerNegativeAestheticScore.tsx
new file mode 100644
index 0000000000..4dad3f519a
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerNegativeAestheticScore.tsx
@@ -0,0 +1,60 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAISlider from 'common/components/IAISlider';
+import { setRefinerNegativeAestheticScore } from 'features/sdxl/store/sdxlSlice';
+import { memo, useCallback } from 'react';
+import { useIsRefinerAvailable } from 'services/api/hooks/useIsRefinerAvailable';
+
+const selector = createSelector(
+  [stateSelector],
+  ({ sdxl, hotkeys }) => {
+    const { refinerNegativeAestheticScore } = sdxl;
+    const { shift } = hotkeys;
+
+    return {
+      refinerNegativeAestheticScore,
+      shift,
+    };
+  },
+  defaultSelectorOptions
+);
+
+const ParamSDXLRefinerNegativeAestheticScore = () => {
+  const { refinerNegativeAestheticScore, shift } = useAppSelector(selector);
+
+  const isRefinerAvailable = useIsRefinerAvailable();
+
+  const dispatch = useAppDispatch();
+
+  const handleChange = useCallback(
+    (v: number) => dispatch(setRefinerNegativeAestheticScore(v)),
+    [dispatch]
+  );
+
+  const handleReset = useCallback(
+    () => dispatch(setRefinerNegativeAestheticScore(2.5)),
+    [dispatch]
+  );
+
+  return (
+    <IAISlider
+      label="Negative Aesthetic Score"
+      step={shift ? 0.1 : 0.5}
+      min={1}
+      max={10}
+      onChange={handleChange}
+      handleReset={handleReset}
+      value={refinerNegativeAestheticScore}
+      sliderNumberInputProps={{ max: 10 }}
+      withInput
+      withReset
+      withSliderMarks
+      isInteger={false}
+      isDisabled={!isRefinerAvailable}
+    />
+  );
+};
+
+export default memo(ParamSDXLRefinerNegativeAestheticScore);
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerPositiveAestheticScore.tsx
similarity index 66%
rename from invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx
rename to invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerPositiveAestheticScore.tsx
index 9c9c4b2f89..47842629f6 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerAestheticScore.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerPositiveAestheticScore.tsx
@@ -3,50 +3,50 @@ import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAISlider from 'common/components/IAISlider';
-import { setRefinerAestheticScore } from 'features/sdxl/store/sdxlSlice';
+import { setRefinerPositiveAestheticScore } from 'features/sdxl/store/sdxlSlice';
 import { memo, useCallback } from 'react';
 import { useIsRefinerAvailable } from 'services/api/hooks/useIsRefinerAvailable';
 
 const selector = createSelector(
   [stateSelector],
   ({ sdxl, hotkeys }) => {
-    const { refinerAestheticScore } = sdxl;
+    const { refinerPositiveAestheticScore } = sdxl;
     const { shift } = hotkeys;
 
     return {
-      refinerAestheticScore,
+      refinerPositiveAestheticScore,
       shift,
     };
   },
   defaultSelectorOptions
 );
 
-const ParamSDXLRefinerAestheticScore = () => {
-  const { refinerAestheticScore, shift } = useAppSelector(selector);
+const ParamSDXLRefinerPositiveAestheticScore = () => {
+  const { refinerPositiveAestheticScore, shift } = useAppSelector(selector);
 
   const isRefinerAvailable = useIsRefinerAvailable();
 
   const dispatch = useAppDispatch();
 
   const handleChange = useCallback(
-    (v: number) => dispatch(setRefinerAestheticScore(v)),
+    (v: number) => dispatch(setRefinerPositiveAestheticScore(v)),
     [dispatch]
   );
 
   const handleReset = useCallback(
-    () => dispatch(setRefinerAestheticScore(6)),
+    () => dispatch(setRefinerPositiveAestheticScore(6)),
     [dispatch]
   );
 
   return (
     <IAISlider
-      label="Aesthetic Score"
+      label="Positive Aesthetic Score"
       step={shift ? 0.1 : 0.5}
       min={1}
       max={10}
       onChange={handleChange}
       handleReset={handleReset}
-      value={refinerAestheticScore}
+      value={refinerPositiveAestheticScore}
       sliderNumberInputProps={{ max: 10 }}
       withInput
       withReset
@@ -57,4 +57,4 @@ const ParamSDXLRefinerAestheticScore = () => {
   );
 };
 
-export default memo(ParamSDXLRefinerAestheticScore);
+export default memo(ParamSDXLRefinerPositiveAestheticScore);
diff --git a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
index 7ee3ea1d4f..7670790f05 100644
--- a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
+++ b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
@@ -16,7 +16,8 @@ type SDXLInitialState = {
   refinerSteps: number;
   refinerCFGScale: number;
   refinerScheduler: SchedulerParam;
-  refinerAestheticScore: number;
+  refinerPositiveAestheticScore: number;
+  refinerNegativeAestheticScore: number;
   refinerStart: number;
 };
 
@@ -30,7 +31,8 @@ const sdxlInitialState: SDXLInitialState = {
   refinerSteps: 20,
   refinerCFGScale: 7.5,
   refinerScheduler: 'euler',
-  refinerAestheticScore: 6,
+  refinerPositiveAestheticScore: 6,
+  refinerNegativeAestheticScore: 2.5,
   refinerStart: 0.7,
 };
 
@@ -68,8 +70,17 @@ const sdxlSlice = createSlice({
     setRefinerScheduler: (state, action: PayloadAction<SchedulerParam>) => {
       state.refinerScheduler = action.payload;
     },
-    setRefinerAestheticScore: (state, action: PayloadAction<number>) => {
-      state.refinerAestheticScore = action.payload;
+    setRefinerPositiveAestheticScore: (
+      state,
+      action: PayloadAction<number>
+    ) => {
+      state.refinerPositiveAestheticScore = action.payload;
+    },
+    setRefinerNegativeAestheticScore: (
+      state,
+      action: PayloadAction<number>
+    ) => {
+      state.refinerNegativeAestheticScore = action.payload;
     },
     setRefinerStart: (state, action: PayloadAction<number>) => {
       state.refinerStart = action.payload;
@@ -87,7 +98,8 @@ export const {
   setRefinerSteps,
   setRefinerCFGScale,
   setRefinerScheduler,
-  setRefinerAestheticScore,
+  setRefinerPositiveAestheticScore,
+  setRefinerNegativeAestheticScore,
   setRefinerStart,
 } = sdxlSlice.actions;
 
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index a2076557b8..0bfa7c334f 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -1209,10 +1209,15 @@ export type components = {
        */
       refiner_scheduler?: string;
       /**
-       * Refiner Aesthetic Store 
+       * Refiner Positive Aesthetic Store 
        * @description The aesthetic score used for the refiner
        */
-      refiner_aesthetic_store?: number;
+      refiner_positive_aesthetic_store?: number;
+      /**
+       * Refiner Negative Aesthetic Store 
+       * @description The aesthetic score used for the refiner
+       */
+      refiner_negative_aesthetic_store?: number;
       /**
        * Refiner Start 
        * @description The start value used for refiner denoising
@@ -3599,10 +3604,15 @@ export type components = {
        */
       refiner_scheduler?: string;
       /**
-       * Refiner Aesthetic Store 
+       * Refiner Positive Aesthetic Score 
        * @description The aesthetic score used for the refiner
        */
-      refiner_aesthetic_store?: number;
+      refiner_positive_aesthetic_score?: number;
+      /**
+       * Refiner Negative Aesthetic Score 
+       * @description The aesthetic score used for the refiner
+       */
+      refiner_negative_aesthetic_score?: number;
       /**
        * Refiner Start 
        * @description The start value used for refiner denoising
@@ -5781,11 +5791,11 @@ export type components = {
       image?: components["schemas"]["ImageField"];
     };
     /**
-     * StableDiffusionOnnxModelFormat 
+     * ControlNetModelFormat 
      * @description An enumeration. 
      * @enum {string}
      */
-    StableDiffusionOnnxModelFormat: "olive" | "onnx";
+    ControlNetModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusion2ModelFormat 
      * @description An enumeration. 
@@ -5793,23 +5803,23 @@ export type components = {
      */
     StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
     /**
-     * ControlNetModelFormat 
+     * StableDiffusionXLModelFormat 
      * @description An enumeration. 
      * @enum {string}
      */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionOnnxModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusionOnnxModelFormat: "olive" | "onnx";
     /**
      * StableDiffusion1ModelFormat 
      * @description An enumeration. 
      * @enum {string}
      */
     StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusionXLModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;

From 746e099f0d765209bb09ba4776f6dbc4dd780517 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Mon, 14 Aug 2023 04:04:15 +1200
Subject: [PATCH 197/287] fix: Do not do step math for refinerSteps

This is probably better done on the backend or in a different way. This can cause steps to go above 1000 which is more than the set number for the model.
---
 .../features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
index 577f4e4b7d..adce34adf5 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
@@ -90,7 +90,7 @@ export const addSDXLRefinerToGraph = (
     type: 'denoise_latents',
     id: SDXL_REFINER_DENOISE_LATENTS,
     cfg_scale: refinerCFGScale,
-    steps: refinerSteps / (1 - Math.min(refinerStart, 0.99)),
+    steps: refinerSteps,
     scheduler: refinerScheduler,
     denoising_start: refinerStart,
     denoising_end: 1,

From 94636ddb039d9bb2eae1fb20375302d3122a7426 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Sun, 13 Aug 2023 19:31:14 +0300
Subject: [PATCH 198/287] Fix empty prompt handling

---
 invokeai/app/invocations/compel.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index 2a56bd04ab..86565366d9 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -295,7 +295,7 @@ class SDXLCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> CompelOutput:
         c1, c1_pooled, ec1 = self.run_clip_compel(
-            context, self.clip, self.prompt, False, "lora_te1_", zero_on_empty=False
+            context, self.clip, self.prompt, False, "lora_te1_", zero_on_empty=True
         )
         if self.style.strip() == "":
             c2, c2_pooled, ec2 = self.run_clip_compel(

From 6e0beb1ed4ccc7495924df4c1e0919c4d76d527c Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Sun, 13 Aug 2023 19:31:47 +0300
Subject: [PATCH 199/287] Fixes for second order scheduler timesteps

---
 invokeai/app/invocations/latent.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 8e8d2b2fc9..de9d8b37c8 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -317,6 +317,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
         return control_data
 
     # original idea by https://github.com/AmericanPresidentJimmyCarter
+    # TODO: research more for second order schedulers timesteps
     def init_scheduler(self, scheduler, device, steps, denoising_start, denoising_end):
         if scheduler.config.get("cpu_only", False):
             device = torch.device("cpu")
@@ -329,8 +330,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
         t_start_val = int(round(scheduler.config.num_train_timesteps * (1 - denoising_start)))
         t_start_idx = len(list(filter(lambda ts: ts >= t_start_val, timesteps)))
         timesteps = timesteps[t_start_idx:]
-        if scheduler.order == 2:
-            # TODO: research for second order schedulers timesteps
+        if scheduler.order == 2 and t_start_idx > 0:
             timesteps = timesteps[1:]
 
         # save start timestep to apply noise
@@ -339,6 +339,8 @@ class DenoiseLatentsInvocation(BaseInvocation):
         # apply denoising_end
         t_end_val = int(round(scheduler.config.num_train_timesteps * (1 - denoising_end)))
         t_end_idx = len(list(filter(lambda ts: ts >= t_end_val, timesteps)))
+        if scheduler.order == 2 and t_end_idx > 0:
+            t_end_idx += 1
         timesteps = timesteps[:t_end_idx]
 
         # calculate step count based on scheduler order

From 59ba9fc0f6c8582d80baa7ba1f913893ae0775d3 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Sun, 13 Aug 2023 19:50:16 +0300
Subject: [PATCH 200/287] Flip bits in seed for sde/ancestral schedulers to
 have different noise from initial

---
 invokeai/app/invocations/latent.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index de9d8b37c8..7451213860 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -205,7 +205,8 @@ class DenoiseLatentsInvocation(BaseInvocation):
             # for ddim scheduler
             eta=0.0,  # ddim_eta
             # for ancestral and sde schedulers
-            generator=torch.Generator(device=unet.device).manual_seed(seed),
+            # flip all bits to have noise different from initial
+            generator=torch.Generator(device=unet.device).manual_seed(seed ^ 0xFFFFFFFF),
         )
         return conditioning_data
 

From 7a8f14d595cfa1e17280028255fdef7a531ac50b Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Sun, 13 Aug 2023 19:50:48 +0300
Subject: [PATCH 201/287] Clean-up code a bit

---
 .../stable_diffusion/diffusers_pipeline.py    | 19 +++++++++----------
 .../stable_diffusion/diffusion/__init__.py    |  2 +-
 2 files changed, 10 insertions(+), 11 deletions(-)

diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 516e901971..b38ebc6684 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -34,6 +34,7 @@ from .diffusion import (
     AttentionMapSaver,
     InvokeAIDiffuserComponent,
     PostprocessingSettings,
+    BasicConditioningInfo,
 )
 from ..util import normalize_device
 
@@ -92,8 +93,7 @@ class AddsMaskGuidance:
     mask: torch.FloatTensor
     mask_latents: torch.FloatTensor
     scheduler: SchedulerMixin
-    noise: Optional[torch.Tensor] = None
-    _debug: Optional[Callable] = None
+    noise: torch.Tensor
 
     def __call__(self, step_output: Union[BaseOutput, SchedulerOutput], t: torch.Tensor, conditioning) -> BaseOutput:
         output_class = step_output.__class__  # We'll create a new one with masked data.
@@ -123,14 +123,13 @@ class AddsMaskGuidance:
             # some schedulers expect t to be one-dimensional.
             # TODO: file diffusers bug about inconsistency?
             t = einops.repeat(t, "-> batch", batch=batch_size)
-
-        if self.noise is not None:
-            mask_latents = self.scheduler.add_noise(self.mask_latents, self.noise, t)
-
+        # Noise shouldn't be re-randomized between steps here. The multistep schedulers
+        # get very confused about what is happening from step to step when we do that.
+        mask_latents = self.scheduler.add_noise(self.mask_latents, self.noise, t)
+        # TODO: Do we need to also apply scheduler.scale_model_input? Or is add_noise appropriately scaled already?
+        # mask_latents = self.scheduler.scale_model_input(mask_latents, t)
         mask_latents = einops.repeat(mask_latents, "b c h w -> (repeat b) c h w", repeat=batch_size)
         masked_input = torch.lerp(mask_latents.to(dtype=latents.dtype), latents, mask.to(dtype=latents.dtype))
-        if self._debug:
-            self._debug(masked_input, f"t={t} lerped")
         return masked_input
 
 
@@ -202,8 +201,8 @@ class ControlNetData:
 
 @dataclass
 class ConditioningData:
-    unconditioned_embeddings: Any  # TODO: type
-    text_embeddings: Any  # TODO: type
+    unconditioned_embeddings: BasicConditioningInfo
+    text_embeddings: BasicConditioningInfo
     guidance_scale: Union[float, List[float]]
     """
     Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598).
diff --git a/invokeai/backend/stable_diffusion/diffusion/__init__.py b/invokeai/backend/stable_diffusion/diffusion/__init__.py
index 6dd2817f29..e9d86a933a 100644
--- a/invokeai/backend/stable_diffusion/diffusion/__init__.py
+++ b/invokeai/backend/stable_diffusion/diffusion/__init__.py
@@ -3,4 +3,4 @@ Initialization file for invokeai.models.diffusion
 """
 from .cross_attention_control import InvokeAICrossAttentionMixin
 from .cross_attention_map_saving import AttentionMapSaver
-from .shared_invokeai_diffusion import InvokeAIDiffuserComponent, PostprocessingSettings
+from .shared_invokeai_diffusion import InvokeAIDiffuserComponent, PostprocessingSettings, BasicConditioningInfo, SDXLConditioningInfo

From 0b2925709c8f0a130f727176fa4241b251129b77 Mon Sep 17 00:00:00 2001
From: Mitchell Allain <allain.mitch@gmail.com>
Date: Sun, 13 Aug 2023 14:36:55 -0500
Subject: [PATCH 202/287] Use double quotes in docker entrypoint to prevent
 word splitting

---
 docker/docker-entrypoint.sh | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/docker/docker-entrypoint.sh b/docker/docker-entrypoint.sh
index d45ed3d7ef..6d776feb0e 100755
--- a/docker/docker-entrypoint.sh
+++ b/docker/docker-entrypoint.sh
@@ -29,8 +29,8 @@ configure() {
         echo "To reconfigure InvokeAI, delete the above file."
         echo "======================================================================"
     else
-        mkdir -p ${INVOKEAI_ROOT}
-        chown --recursive ${USER} ${INVOKEAI_ROOT}
+        mkdir -p "${INVOKEAI_ROOT}"
+        chown --recursive ${USER} "${INVOKEAI_ROOT}"
         gosu ${USER} invokeai-configure --yes --default_only
     fi
 }
@@ -50,16 +50,16 @@ fi
 if [[ -v "PUBLIC_KEY" ]] && [[ ! -d "${HOME}/.ssh" ]]; then
     apt-get update
     apt-get install -y openssh-server
-    pushd $HOME
+    pushd "$HOME"
     mkdir -p .ssh
-    echo ${PUBLIC_KEY} > .ssh/authorized_keys
+    echo "${PUBLIC_KEY}" > .ssh/authorized_keys
     chmod -R 700 .ssh
     popd
     service ssh start
 fi
 
 
-cd ${INVOKEAI_ROOT}
+cd "${INVOKEAI_ROOT}"
 
 # Run the CMD as the Container User (not root).
 exec gosu ${USER} "$@"

From 096333ba3f9d419b9d5815b4648374b6759e981d Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Mon, 14 Aug 2023 00:20:01 +0300
Subject: [PATCH 203/287] Fix error on zero timesteps

---
 .../stable_diffusion/diffusers_pipeline.py    | 20 +++++++++----------
 1 file changed, 9 insertions(+), 11 deletions(-)

diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index b38ebc6684..6268af369f 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -385,7 +385,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         orig_latents = latents.clone()
 
         batch_size = latents.shape[0]
-        batched_t = init_timestep.repeat(batch_size)
+        batched_t = init_timestep.expand(batch_size)
 
         if noise is not None:
             # latents = noise * self.scheduler.init_noise_sigma # it's like in t2l according to diffusers
@@ -448,20 +448,19 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         self._adjust_memory_efficient_attention(latents)
         if additional_guidance is None:
             additional_guidance = []
+
+        batch_size = latents.shape[0]
+        attention_map_saver: Optional[AttentionMapSaver] = None
+
+        if timesteps.shape[0] == 0:
+            return latents, attention_map_saver
+
         extra_conditioning_info = conditioning_data.extra
         with self.invokeai_diffuser.custom_attention_context(
             self.invokeai_diffuser.model,
             extra_conditioning_info=extra_conditioning_info,
             step_count=len(self.scheduler.timesteps),
         ):
-            batch_size = latents.shape[0]
-            batched_t = torch.full(
-                (batch_size,),
-                timesteps[0],
-                dtype=timesteps.dtype,
-                device=self.unet.device,
-            )
-
             yield PipelineIntermediateState(
                 step=-1,
                 order=self.scheduler.order,
@@ -470,10 +469,9 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 latents=latents,
             )
 
-            attention_map_saver: Optional[AttentionMapSaver] = None
             # print("timesteps:", timesteps)
             for i, t in enumerate(self.progress_bar(timesteps)):
-                batched_t.fill_(t)
+                batched_t = t.expand(batch_size)
                 step_output = self.step(
                     batched_t,
                     latents,

From d63bb3947592193bc360662f48f56f26e2edf021 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Mon, 14 Aug 2023 00:24:38 +0300
Subject: [PATCH 204/287] Make dpmpp_sde(_k) use not random seed

---
 invokeai/app/invocations/latent.py | 9 ++++++++-
 invokeai/app/invocations/onnx.py   | 1 +
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 7451213860..fc7b5cd77d 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -13,7 +13,7 @@ from diffusers.models.attention_processor import (
     LoRAXFormersAttnProcessor,
     XFormersAttnProcessor,
 )
-from diffusers.schedulers import SchedulerMixin as Scheduler
+from diffusers.schedulers import DPMSolverSDEScheduler, SchedulerMixin as Scheduler
 from pydantic import BaseModel, Field, validator
 from torchvision.transforms.functional import resize as tv_resize
 
@@ -81,6 +81,7 @@ def get_scheduler(
     context: InvocationContext,
     scheduler_info: ModelInfo,
     scheduler_name: str,
+    seed: int,
 ) -> Scheduler:
     scheduler_class, scheduler_extra_config = SCHEDULER_MAP.get(scheduler_name, SCHEDULER_MAP["ddim"])
     orig_scheduler_info = context.services.model_manager.get_model(
@@ -97,6 +98,11 @@ def get_scheduler(
         **scheduler_extra_config,
         "_backup": scheduler_config,
     }
+
+    # make dpmpp_sde reproducable(seed can be passed only in initializer)
+    if scheduler_class is DPMSolverSDEScheduler:
+        scheduler_config["noise_sampler_seed"] = seed
+
     scheduler = scheduler_class.from_config(scheduler_config)
 
     # hack copied over from generate.py
@@ -421,6 +427,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
                     context=context,
                     scheduler_info=self.unet.scheduler,
                     scheduler_name=self.scheduler,
+                    seed=seed,
                 )
 
                 pipeline = self.create_pipeline(unet, scheduler)
diff --git a/invokeai/app/invocations/onnx.py b/invokeai/app/invocations/onnx.py
index fe9a64552e..0fb1d56848 100644
--- a/invokeai/app/invocations/onnx.py
+++ b/invokeai/app/invocations/onnx.py
@@ -212,6 +212,7 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
             context=context,
             scheduler_info=self.unet.scheduler,
             scheduler_name=self.scheduler,
+            seed=0, # TODO: refactor this node
         )
 
         def torch2numpy(latent: torch.Tensor):

From 75fb3f429fecfba87b088f29043d8b56b1af9385 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Mon, 14 Aug 2023 09:26:01 +1200
Subject: [PATCH 205/287] re: Readd Refiner Step Math but cap max steps to 1000

---
 .../features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
index adce34adf5..16256e05af 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
@@ -90,7 +90,7 @@ export const addSDXLRefinerToGraph = (
     type: 'denoise_latents',
     id: SDXL_REFINER_DENOISE_LATENTS,
     cfg_scale: refinerCFGScale,
-    steps: refinerSteps,
+    steps: Math.min(refinerSteps / (1 - Math.min(refinerStart, 0.99)), 1000),
     scheduler: refinerScheduler,
     denoising_start: refinerStart,
     denoising_end: 1,

From cc85c98bf3c8953454e6fe54d4f5884fe98c98c9 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Mon, 14 Aug 2023 09:26:28 +1200
Subject: [PATCH 206/287] feat: Upgrade Diffusers to 0.19.3

Needed for some schedulers
---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 8fb2e7aaa7..6e5b754914 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -40,7 +40,7 @@ dependencies = [
   "controlnet-aux>=0.0.6",
   "timm==0.6.13",   # needed to override timm latest in controlnet_aux, see  https://github.com/isl-org/ZoeDepth/issues/26
   "datasets",
-  "diffusers[torch]~=0.19.0",
+  "diffusers[torch]~=0.19.3",
   "dnspython~=2.4.0",
   "dynamicprompts",
   "easing-functions",

From 550e6ef27a037f812a71227d2942630f3999d4f6 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Mon, 14 Aug 2023 10:27:07 +1200
Subject: [PATCH 207/287] re: Set the image denoise str back to 0

Bug has been fixed. No longer needed.
---
 invokeai/frontend/web/src/features/system/store/configSlice.ts | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/system/store/configSlice.ts b/invokeai/frontend/web/src/features/system/store/configSlice.ts
index ff7a0c0700..6cff92a136 100644
--- a/invokeai/frontend/web/src/features/system/store/configSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/configSlice.ts
@@ -61,7 +61,7 @@ export const initialConfigState: AppConfig = {
     },
     img2imgStrength: {
       initial: 0.7,
-      min: 0.01,
+      min: 0,
       sliderMax: 1,
       inputMax: 1,
       fineStep: 0.01,

From fecad2c0145638d6b88c1cf241b96307ae663a02 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Mon, 14 Aug 2023 11:59:11 +1200
Subject: [PATCH 208/287] fix: SDXL Denoising Strength not plugged in correctly

---
 .../SDXLUnifiedCanvasTabCoreParameters.tsx    | 75 +++++++++++++++++++
 .../SDXLUnifiedCanvasTabParameters.tsx        |  4 +-
 2 files changed, 77 insertions(+), 2 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabCoreParameters.tsx

diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabCoreParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabCoreParameters.tsx
new file mode 100644
index 0000000000..7db6ccc219
--- /dev/null
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabCoreParameters.tsx
@@ -0,0 +1,75 @@
+import { Box, Flex } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAICollapse from 'common/components/IAICollapse';
+import ParamBoundingBoxSize from 'features/parameters/components/Parameters/Canvas/BoundingBox/ParamBoundingBoxSize';
+import ParamCFGScale from 'features/parameters/components/Parameters/Core/ParamCFGScale';
+import ParamIterations from 'features/parameters/components/Parameters/Core/ParamIterations';
+import ParamModelandVAEandScheduler from 'features/parameters/components/Parameters/Core/ParamModelandVAEandScheduler';
+import ParamSteps from 'features/parameters/components/Parameters/Core/ParamSteps';
+import ParamSeedFull from 'features/parameters/components/Parameters/Seed/ParamSeedFull';
+import { memo } from 'react';
+import ParamSDXLImg2ImgDenoisingStrength from './ParamSDXLImg2ImgDenoisingStrength';
+
+const selector = createSelector(
+  stateSelector,
+  ({ ui, generation }) => {
+    const { shouldUseSliders } = ui;
+    const { shouldRandomizeSeed } = generation;
+
+    const activeLabel = !shouldRandomizeSeed ? 'Manual Seed' : undefined;
+
+    return { shouldUseSliders, activeLabel };
+  },
+  defaultSelectorOptions
+);
+
+const SDXLUnifiedCanvasTabCoreParameters = () => {
+  const { shouldUseSliders, activeLabel } = useAppSelector(selector);
+
+  return (
+    <IAICollapse
+      label={'General'}
+      activeLabel={activeLabel}
+      defaultIsOpen={true}
+    >
+      <Flex
+        sx={{
+          flexDirection: 'column',
+          gap: 3,
+        }}
+      >
+        {shouldUseSliders ? (
+          <>
+            <ParamIterations />
+            <ParamSteps />
+            <ParamCFGScale />
+            <ParamModelandVAEandScheduler />
+            <Box pt={2}>
+              <ParamSeedFull />
+            </Box>
+            <ParamBoundingBoxSize />
+          </>
+        ) : (
+          <>
+            <Flex gap={3}>
+              <ParamIterations />
+              <ParamSteps />
+              <ParamCFGScale />
+            </Flex>
+            <ParamModelandVAEandScheduler />
+            <Box pt={2}>
+              <ParamSeedFull />
+            </Box>
+            <ParamBoundingBoxSize />
+          </>
+        )}
+        <ParamSDXLImg2ImgDenoisingStrength />
+      </Flex>
+    </IAICollapse>
+  );
+};
+
+export default memo(SDXLUnifiedCanvasTabCoreParameters);
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx
index 6faafc6891..c6af754ad9 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx
@@ -5,16 +5,16 @@ import ParamMaskAdjustmentCollapse from 'features/parameters/components/Paramete
 import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse';
 import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse';
 import ProcessButtons from 'features/parameters/components/ProcessButtons/ProcessButtons';
-import UnifiedCanvasCoreParameters from 'features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasCoreParameters';
 import ParamSDXLPromptArea from './ParamSDXLPromptArea';
 import ParamSDXLRefinerCollapse from './ParamSDXLRefinerCollapse';
+import SDXLUnifiedCanvasTabCoreParameters from './SDXLUnifiedCanvasTabCoreParameters';
 
 export default function SDXLUnifiedCanvasTabParameters() {
   return (
     <>
       <ParamSDXLPromptArea />
       <ProcessButtons />
-      <UnifiedCanvasCoreParameters />
+      <SDXLUnifiedCanvasTabCoreParameters />
       <ParamSDXLRefinerCollapse />
       <ParamControlNetCollapse />
       <ParamLoraCollapse />

From 957ee6d370e32715506fbd1aeefdea03f7e73b4f Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Mon, 14 Aug 2023 12:13:29 +1200
Subject: [PATCH 209/287] fix: SDXL Canvas Inpaint & Outpaint not respecting
 SDXL Refiner start value

---
 .../nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts   | 4 +++-
 .../nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts  | 4 +++-
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
index 7d8586d09c..f38ed00bf4 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
@@ -136,7 +136,9 @@ export const buildCanvasSDXLInpaintGraph = (
         steps: steps,
         cfg_scale: cfg_scale,
         scheduler: scheduler,
-        denoising_start: 1 - strength,
+        denoising_start: shouldUseSDXLRefiner
+          ? Math.min(refinerStart, 1 - strength)
+          : 1 - strength,
         denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
       },
       [LATENTS_TO_IMAGE]: {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index b5260894c4..d7904de4f9 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -162,7 +162,9 @@ export const buildCanvasSDXLOutpaintGraph = (
         steps: steps,
         cfg_scale: cfg_scale,
         scheduler: scheduler,
-        denoising_start: 1 - strength,
+        denoising_start: shouldUseSDXLRefiner
+          ? Math.min(refinerStart, 1 - strength)
+          : 1 - strength,
         denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
       },
       [LATENTS_TO_IMAGE]: {

From 3d8da67be3bef184439ef4c2103765713dfd3c11 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Mon, 14 Aug 2023 03:35:15 +0300
Subject: [PATCH 210/287] Remove callback-generator wrapper

---
 .../stable_diffusion/diffusers_pipeline.py    | 75 ++++++-------------
 1 file changed, 22 insertions(+), 53 deletions(-)

diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 6268af369f..98c3c22423 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -5,7 +5,7 @@ import inspect
 import math
 import secrets
 from dataclasses import dataclass, field
-from typing import Any, Callable, Generic, List, Optional, Type, TypeVar, Union
+from typing import Any, Callable, Generic, List, Optional, Type, Union
 
 import PIL.Image
 import einops
@@ -27,7 +27,6 @@ from diffusers.utils.import_utils import is_xformers_available
 from diffusers.utils.outputs import BaseOutput
 from pydantic import Field
 from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
-from typing_extensions import ParamSpec
 
 from invokeai.app.services.config import InvokeAIAppConfig
 from .diffusion import (
@@ -161,33 +160,6 @@ def is_inpainting_model(unet: UNet2DConditionModel):
     return unet.conv_in.in_channels == 9
 
 
-CallbackType = TypeVar("CallbackType")
-ReturnType = TypeVar("ReturnType")
-ParamType = ParamSpec("ParamType")
-
-
-@dataclass(frozen=True)
-class GeneratorToCallbackinator(Generic[ParamType, ReturnType, CallbackType]):
-    """Convert a generator to a function with a callback and a return value."""
-
-    generator_method: Callable[ParamType, ReturnType]
-    callback_arg_type: Type[CallbackType]
-
-    def __call__(
-        self,
-        *args: ParamType.args,
-        callback: Callable[[CallbackType], Any] = None,
-        **kwargs: ParamType.kwargs,
-    ) -> ReturnType:
-        result = None
-        for result in self.generator_method(*args, **kwargs):
-            if callback is not None and isinstance(result, self.callback_arg_type):
-                callback(result)
-        if result is None:
-            raise AssertionError("why was that an empty generator?")
-        return result
-
-
 @dataclass
 class ControlNetData:
     model: ControlNetModel = Field(default=None)
@@ -375,10 +347,6 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         if init_timestep.shape[0] == 0:
             return latents, None
 
-        infer_latents_from_embeddings = GeneratorToCallbackinator(
-            self.generate_latents_from_embeddings, PipelineIntermediateState
-        )
-
         if additional_guidance is None:
             additional_guidance = []
 
@@ -417,7 +385,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 additional_guidance.append(AddsMaskGuidance(mask, orig_latents, self.scheduler, noise))
 
         try:
-            result: PipelineIntermediateState = infer_latents_from_embeddings(
+            latents, attention_map_saver = self.generate_latents_from_embeddings(
                 latents,
                 timesteps,
                 conditioning_data,
@@ -428,13 +396,11 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         finally:
             self.invokeai_diffuser.model_forward_callback = self._unet_forward
 
-        latents = result.latents
-
         # restore unmasked part
         if mask is not None:
             latents = torch.lerp(orig_latents, latents.to(dtype=orig_latents.dtype), mask.to(dtype=orig_latents.dtype))
 
-        return latents, result.attention_map_saver
+        return latents, attention_map_saver
 
     def generate_latents_from_embeddings(
         self,
@@ -444,6 +410,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
         *,
         additional_guidance: List[Callable] = None,
         control_data: List[ControlNetData] = None,
+        callback: Callable[[PipelineIntermediateState], None] = None,
     ):
         self._adjust_memory_efficient_attention(latents)
         if additional_guidance is None:
@@ -461,13 +428,14 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             extra_conditioning_info=extra_conditioning_info,
             step_count=len(self.scheduler.timesteps),
         ):
-            yield PipelineIntermediateState(
-                step=-1,
-                order=self.scheduler.order,
-                total_steps=len(timesteps),
-                timestep=self.scheduler.config.num_train_timesteps,
-                latents=latents,
-            )
+            if callback is not None:
+                callback(PipelineIntermediateState(
+                    step=-1,
+                    order=self.scheduler.order,
+                    total_steps=len(timesteps),
+                    timestep=self.scheduler.config.num_train_timesteps,
+                    latents=latents,
+                ))
 
             # print("timesteps:", timesteps)
             for i, t in enumerate(self.progress_bar(timesteps)):
@@ -500,15 +468,16 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 #    attention_map_saver = AttentionMapSaver(token_ids=attention_map_token_ids, latents_shape=latents.shape[-2:])
                 #    self.invokeai_diffuser.setup_attention_map_saving(attention_map_saver)
 
-                yield PipelineIntermediateState(
-                    step=i,
-                    order=self.scheduler.order,
-                    total_steps=len(timesteps),
-                    timestep=int(t),
-                    latents=latents,
-                    predicted_original=predicted_original,
-                    attention_map_saver=attention_map_saver,
-                )
+                if callback is not None:
+                    callback(PipelineIntermediateState(
+                        step=i,
+                        order=self.scheduler.order,
+                        total_steps=len(timesteps),
+                        timestep=int(t),
+                        latents=latents,
+                        predicted_original=predicted_original,
+                        attention_map_saver=attention_map_saver,
+                    ))
 
             return latents, attention_map_saver
 

From 58d5c61c79d34098810a09f1f4b7126afe183198 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Mon, 14 Aug 2023 12:55:18 +1200
Subject: [PATCH 211/287] fix: SDXL Inpaint & Outpaint using regular Img2Img
 strength

---
 .../util/graphBuilders/buildCanvasSDXLInpaintGraph.ts    | 9 ++++++---
 .../util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts   | 9 ++++++---
 2 files changed, 12 insertions(+), 6 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
index f38ed00bf4..ba40a70c83 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLInpaintGraph.ts
@@ -53,7 +53,6 @@ export const buildCanvasSDXLInpaintGraph = (
     cfgScale: cfg_scale,
     scheduler,
     steps,
-    img2imgStrength: strength,
     iterations,
     seed,
     shouldRandomizeSeed,
@@ -64,8 +63,12 @@ export const buildCanvasSDXLInpaintGraph = (
     maskBlurMethod,
   } = state.generation;
 
-  const { shouldUseSDXLRefiner, refinerStart, shouldConcatSDXLStylePrompt } =
-    state.sdxl;
+  const {
+    sdxlImg2ImgDenoisingStrength: strength,
+    shouldUseSDXLRefiner,
+    refinerStart,
+    shouldConcatSDXLStylePrompt,
+  } = state.sdxl;
 
   if (!model) {
     log.error('No model found in state');
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index d7904de4f9..50a773bf50 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -59,7 +59,6 @@ export const buildCanvasSDXLOutpaintGraph = (
     cfgScale: cfg_scale,
     scheduler,
     steps,
-    img2imgStrength: strength,
     iterations,
     seed,
     shouldRandomizeSeed,
@@ -72,8 +71,12 @@ export const buildCanvasSDXLOutpaintGraph = (
     infillMethod,
   } = state.generation;
 
-  const { shouldUseSDXLRefiner, refinerStart, shouldConcatSDXLStylePrompt } =
-    state.sdxl;
+  const {
+    sdxlImg2ImgDenoisingStrength: strength,
+    shouldUseSDXLRefiner,
+    refinerStart,
+    shouldConcatSDXLStylePrompt,
+  } = state.sdxl;
 
   if (!model) {
     log.error('No model found in state');

From 409e5d01bada60b0c7e29525672d6744e248fc8e Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Mon, 14 Aug 2023 05:14:05 +0300
Subject: [PATCH 212/287] Fix cpu_only schedulers(unipc)

---
 invokeai/app/invocations/latent.py | 11 ++++++-----
 1 file changed, 6 insertions(+), 5 deletions(-)

diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index fc7b5cd77d..c66c9c6214 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -326,12 +326,13 @@ class DenoiseLatentsInvocation(BaseInvocation):
     # original idea by https://github.com/AmericanPresidentJimmyCarter
     # TODO: research more for second order schedulers timesteps
     def init_scheduler(self, scheduler, device, steps, denoising_start, denoising_end):
-        if scheduler.config.get("cpu_only", False):
-            device = torch.device("cpu")
-
         num_inference_steps = steps
-        scheduler.set_timesteps(num_inference_steps, device=device)
-        timesteps = scheduler.timesteps
+        if scheduler.config.get("cpu_only", False):
+            scheduler.set_timesteps(num_inference_steps, device="cpu")
+            timesteps = scheduler.timesteps.to(device=device)
+        else:
+            scheduler.set_timesteps(num_inference_steps, device=device)
+            timesteps = scheduler.timesteps
 
         # apply denoising_start
         t_start_val = int(round(scheduler.config.num_train_timesteps * (1 - denoising_start)))

From 511da59793bb8cbafb39422c5ee9ffb910f06340 Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Mon, 14 Aug 2023 05:14:24 +0300
Subject: [PATCH 213/287] Add magic to debug

---
 .../stable_diffusion/diffusers_pipeline.py    | 35 +++++++++++--------
 1 file changed, 20 insertions(+), 15 deletions(-)

diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 98c3c22423..82dcad96f8 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -92,7 +92,7 @@ class AddsMaskGuidance:
     mask: torch.FloatTensor
     mask_latents: torch.FloatTensor
     scheduler: SchedulerMixin
-    noise: torch.Tensor
+    noise: Optional[torch.Tensor]
 
     def __call__(self, step_output: Union[BaseOutput, SchedulerOutput], t: torch.Tensor, conditioning) -> BaseOutput:
         output_class = step_output.__class__  # We'll create a new one with masked data.
@@ -124,7 +124,10 @@ class AddsMaskGuidance:
             t = einops.repeat(t, "-> batch", batch=batch_size)
         # Noise shouldn't be re-randomized between steps here. The multistep schedulers
         # get very confused about what is happening from step to step when we do that.
-        mask_latents = self.scheduler.add_noise(self.mask_latents, self.noise, t)
+        if self.noise is not None:
+            mask_latents = self.scheduler.add_noise(self.mask_latents, self.noise, t)
+        else:
+            mask_latents = self.mask_latents.clone()
         # TODO: Do we need to also apply scheduler.scale_model_input? Or is add_noise appropriately scaled already?
         # mask_latents = self.scheduler.scale_model_input(mask_latents, t)
         mask_latents = einops.repeat(mask_latents, "b c h w -> (repeat b) c h w", repeat=batch_size)
@@ -368,19 +371,21 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 # TODO: we should probably pass this in so we don't have to try/finally around setting it.
                 self.invokeai_diffuser.model_forward_callback = AddsMaskLatents(self._unet_forward, mask, orig_latents)
             else:
-                # if no noise provided, noisify unmasked area based on seed(or 0 as fallback)
-                if noise is None:
-                    noise = torch.randn(
-                        orig_latents.shape,
-                        dtype=torch.float32,
-                        device="cpu",
-                        generator=torch.Generator(device="cpu").manual_seed(seed or 0),
-                    ).to(device=orig_latents.device, dtype=orig_latents.dtype)
-
-                    latents = self.scheduler.add_noise(latents, noise, batched_t)
-                    latents = torch.lerp(
-                        orig_latents, latents.to(dtype=orig_latents.dtype), mask.to(dtype=orig_latents.dtype)
-                    )
+                # TODO: debug better with or without Oo
+                if False:
+                    # if no noise provided, noisify unmasked area based on seed(or 0 as fallback)
+                    if noise is None:
+                        noise = torch.randn(
+                            orig_latents.shape,
+                            dtype=torch.float32,
+                            device="cpu",
+                            generator=torch.Generator(device="cpu").manual_seed(seed or 0),
+                        ).to(device=orig_latents.device, dtype=orig_latents.dtype)
+                    
+                        latents = self.scheduler.add_noise(latents, noise, batched_t)
+                        latents = torch.lerp(
+                            orig_latents, latents.to(dtype=orig_latents.dtype), mask.to(dtype=orig_latents.dtype)
+                        )
 
                 additional_guidance.append(AddsMaskGuidance(mask, orig_latents, self.scheduler, noise))
 

From b2700ffde43895e6e7055286d53175823c4ab902 Mon Sep 17 00:00:00 2001
From: Millun Atluri <millun.atluri@gmail.com>
Date: Mon, 14 Aug 2023 12:23:07 +1000
Subject: [PATCH 214/287] Update post processing docs

---
 docs/assets/features/upscale-dialog.png | Bin 317552 -> 304094 bytes
 docs/features/POSTPROCESS.md            |  99 +++---------------------
 2 files changed, 9 insertions(+), 90 deletions(-)

diff --git a/docs/assets/features/upscale-dialog.png b/docs/assets/features/upscale-dialog.png
index 3ba013654566e4d40075822bc5ad8e3c8e22bc98..937bda9db359a27a2b74c32fb6273ff897d25ae6 100644
GIT binary patch
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diff --git a/docs/features/POSTPROCESS.md b/docs/features/POSTPROCESS.md
index 22ef51e109..33a2d19412 100644
--- a/docs/features/POSTPROCESS.md
+++ b/docs/features/POSTPROCESS.md
@@ -4,35 +4,13 @@ title: Postprocessing
 
 # :material-image-edit: Postprocessing
 
-## Intro
-
-This extension provides the ability to restore faces and upscale images.
+This sections details the ability to improve faces and upscale images.
 
 ## Face Fixing
 
-The default face restoration module is GFPGAN. The default upscale is
-Real-ESRGAN. For an alternative face restoration module, see
-[CodeFormer Support](#codeformer-support) below.
+As of InvokeAI 3.0, the easiest way to improve faces created during image generation is through the Inpainting functionality of the Unified Canvas. Simply add the image containing the faces that you would like to improve to the canvas, mask the face to be improved and run the invocation. For best results, make sure to use an inpainting specific model; these are usually identified by the "-inpainting" term in the model name. 
 
-As of version 1.14, environment.yaml will install the Real-ESRGAN package into
-the standard install location for python packages, and will put GFPGAN into a
-subdirectory of "src" in the InvokeAI directory. Upscaling with Real-ESRGAN
-should "just work" without further intervention. Simply indicate the desired scale on
-the popup in the Web GUI.
-
-**GFPGAN** requires a series of downloadable model files to work. These are
-loaded when you run `invokeai-configure`. If GFPAN is failing with an
-error, please run the following from the InvokeAI directory:
-
-```bash
-invokeai-configure
-```
-
-If you do not run this script in advance, the GFPGAN module will attempt to
-download the models files the first time you try to perform facial
-reconstruction.
-
-### Upscaling
+## Upscaling
 
 Open the upscaling dialog by clicking on the "expand" icon located
 above the image display area in the Web UI:
@@ -41,82 +19,23 @@ above the image display area in the Web UI:
 ![upscale1](../assets/features/upscale-dialog.png)
 </figure>
 
-There are three different upscaling parameters that you can
-adjust. The first is the scale itself, either 2x or 4x.
+The default upscaling option is Real-ESRGAN x2 Plus, which will scale your image by a factor of two. This means upscaling a 512x512 image will result in a new 1024x1024 image.
 
-The second is the "Denoising Strength." Higher values will smooth out
-the image and remove digital chatter, but may lose fine detail at
-higher values.
+Other options are the x4 upscalers, which will scale your image by a factor of 4. 
 
-Third, "Upscale Strength" allows you to adjust how the You can set the
-scaling stength between `0` and `1.0` to control the intensity of the
-scaling. AI upscalers generally tend to smooth out texture details. If
-you wish to retain some of those for natural looking results, we
-recommend using values between `0.5 to 0.8`.
-
-[This figure](../assets/features/upscaling-montage.png) illustrates
-the effects of denoising and strength. The original image was 512x512,
-4x scaled to 2048x2048. The "original" version on the upper left was
-scaled using simple pixel averaging. The remainder use the ESRGAN
-upscaling algorithm at different levels of denoising and strength.
-
-<figure markdown>
-![upscaling](../assets/features/upscaling-montage.png){ width=720 }
-</figure>
-
-Both denoising and strength default to 0.75.
-
-### Face Restoration
-
-InvokeAI offers alternative two face restoration algorithms,
-[GFPGAN](https://github.com/TencentARC/GFPGAN) and
-[CodeFormer](https://huggingface.co/spaces/sczhou/CodeFormer). These
-algorithms improve the appearance of faces, particularly eyes and
-mouths. Issues with faces are less common with the latest set of
-Stable Diffusion models than with the original 1.4 release, but the
-restoration algorithms can still make a noticeable improvement in
-certain cases. You can also apply restoration to old photographs you
-upload.
-
-To access face restoration, click the "smiley face" icon in the
-toolbar above the InvokeAI image panel. You will be presented with a
-dialog that offers a choice between the two algorithm and sliders that
-allow you to adjust their parameters. Alternatively, you may open the
-left-hand accordion panel labeled "Face Restoration" and have the
-restoration algorithm of your choice applied to generated images
-automatically.
-
-
-Like upscaling, there are a number of parameters that adjust the face
-restoration output. GFPGAN has a single parameter, `strength`, which
-controls how much the algorithm is allowed to adjust the
-image. CodeFormer has two parameters, `strength`, and `fidelity`,
-which together control the quality of the output image as described in
-the [CodeFormer project
-page](https://shangchenzhou.com/projects/CodeFormer/). Default values
-are 0.75 for both parameters, which achieves a reasonable balance
-between changing the image too much and not enough.
-
-[This figure](../assets/features/restoration-montage.png) illustrates
-the effects of adjusting GFPGAN and CodeFormer parameters.
-
-<figure markdown>
-![upscaling](../assets/features/restoration-montage.png){ width=720 }
-</figure>
 
 !!! note
 
-    GFPGAN and Real-ESRGAN are both memory intensive. In order to avoid crashes and memory overloads
+    Real-ESRGAN is memory intensive. In order to avoid crashes and memory overloads
     during the Stable Diffusion process, these effects are applied after Stable Diffusion has completed
     its work.
 
     In single image generations, you will see the output right away but when you are using multiple
-    iterations, the images will first be generated and then upscaled and face restored after that
+    iterations, the images will first be generated and then upscaled after that
     process is complete. While the image generation is taking place, you will still be able to preview
     the base images.
 
 ## How to disable
 
-If, for some reason, you do not wish to load the GFPGAN and/or ESRGAN libraries,
-you can disable them on the invoke.py command line with the `--no_restore` and
-`--no_esrgan` options, respectively.
+If, for some reason, you do not wish to load the ESRGAN libraries,
+you can disable them on the invoke.py command line with the `--no_esrgan` options.

From 9217a217d45763d77af0003503486b4a69d8cb9e Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 14 Aug 2023 12:56:37 +1000
Subject: [PATCH 215/287] fix(ui): refiner uses steps directly, no math

---
 .../features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
index 16256e05af..adce34adf5 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
@@ -90,7 +90,7 @@ export const addSDXLRefinerToGraph = (
     type: 'denoise_latents',
     id: SDXL_REFINER_DENOISE_LATENTS,
     cfg_scale: refinerCFGScale,
-    steps: Math.min(refinerSteps / (1 - Math.min(refinerStart, 0.99)), 1000),
+    steps: refinerSteps,
     scheduler: refinerScheduler,
     denoising_start: refinerStart,
     denoising_end: 1,

From 9fee3f7b66c198a6254b861691123eecbe2b6bb8 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 14 Aug 2023 12:58:08 +1000
Subject: [PATCH 216/287] Revert "Add magic to debug"

This reverts commit 511da59793bb8cbafb39422c5ee9ffb910f06340.
---
 .../stable_diffusion/diffusers_pipeline.py    | 35 ++++++++-----------
 1 file changed, 15 insertions(+), 20 deletions(-)

diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 82dcad96f8..98c3c22423 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -92,7 +92,7 @@ class AddsMaskGuidance:
     mask: torch.FloatTensor
     mask_latents: torch.FloatTensor
     scheduler: SchedulerMixin
-    noise: Optional[torch.Tensor]
+    noise: torch.Tensor
 
     def __call__(self, step_output: Union[BaseOutput, SchedulerOutput], t: torch.Tensor, conditioning) -> BaseOutput:
         output_class = step_output.__class__  # We'll create a new one with masked data.
@@ -124,10 +124,7 @@ class AddsMaskGuidance:
             t = einops.repeat(t, "-> batch", batch=batch_size)
         # Noise shouldn't be re-randomized between steps here. The multistep schedulers
         # get very confused about what is happening from step to step when we do that.
-        if self.noise is not None:
-            mask_latents = self.scheduler.add_noise(self.mask_latents, self.noise, t)
-        else:
-            mask_latents = self.mask_latents.clone()
+        mask_latents = self.scheduler.add_noise(self.mask_latents, self.noise, t)
         # TODO: Do we need to also apply scheduler.scale_model_input? Or is add_noise appropriately scaled already?
         # mask_latents = self.scheduler.scale_model_input(mask_latents, t)
         mask_latents = einops.repeat(mask_latents, "b c h w -> (repeat b) c h w", repeat=batch_size)
@@ -371,21 +368,19 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 # TODO: we should probably pass this in so we don't have to try/finally around setting it.
                 self.invokeai_diffuser.model_forward_callback = AddsMaskLatents(self._unet_forward, mask, orig_latents)
             else:
-                # TODO: debug better with or without Oo
-                if False:
-                    # if no noise provided, noisify unmasked area based on seed(or 0 as fallback)
-                    if noise is None:
-                        noise = torch.randn(
-                            orig_latents.shape,
-                            dtype=torch.float32,
-                            device="cpu",
-                            generator=torch.Generator(device="cpu").manual_seed(seed or 0),
-                        ).to(device=orig_latents.device, dtype=orig_latents.dtype)
-                    
-                        latents = self.scheduler.add_noise(latents, noise, batched_t)
-                        latents = torch.lerp(
-                            orig_latents, latents.to(dtype=orig_latents.dtype), mask.to(dtype=orig_latents.dtype)
-                        )
+                # if no noise provided, noisify unmasked area based on seed(or 0 as fallback)
+                if noise is None:
+                    noise = torch.randn(
+                        orig_latents.shape,
+                        dtype=torch.float32,
+                        device="cpu",
+                        generator=torch.Generator(device="cpu").manual_seed(seed or 0),
+                    ).to(device=orig_latents.device, dtype=orig_latents.dtype)
+
+                    latents = self.scheduler.add_noise(latents, noise, batched_t)
+                    latents = torch.lerp(
+                        orig_latents, latents.to(dtype=orig_latents.dtype), mask.to(dtype=orig_latents.dtype)
+                    )
 
                 additional_guidance.append(AddsMaskGuidance(mask, orig_latents, self.scheduler, noise))
 

From 9d3cd85bdd564bc664b9e4b9d6a68da684de5a4b Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 14 Aug 2023 13:02:33 +1000
Subject: [PATCH 217/287] chore: black

---
 invokeai/app/invocations/onnx.py              |  2 +-
 .../stable_diffusion/diffusers_pipeline.py    | 36 ++++++++++---------
 .../stable_diffusion/diffusion/__init__.py    |  7 +++-
 3 files changed, 27 insertions(+), 18 deletions(-)

diff --git a/invokeai/app/invocations/onnx.py b/invokeai/app/invocations/onnx.py
index 0fb1d56848..4f04a4f023 100644
--- a/invokeai/app/invocations/onnx.py
+++ b/invokeai/app/invocations/onnx.py
@@ -212,7 +212,7 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
             context=context,
             scheduler_info=self.unet.scheduler,
             scheduler_name=self.scheduler,
-            seed=0, # TODO: refactor this node
+            seed=0,  # TODO: refactor this node
         )
 
         def torch2numpy(latent: torch.Tensor):
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index 98c3c22423..aa809bc3ec 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -429,13 +429,15 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
             step_count=len(self.scheduler.timesteps),
         ):
             if callback is not None:
-                callback(PipelineIntermediateState(
-                    step=-1,
-                    order=self.scheduler.order,
-                    total_steps=len(timesteps),
-                    timestep=self.scheduler.config.num_train_timesteps,
-                    latents=latents,
-                ))
+                callback(
+                    PipelineIntermediateState(
+                        step=-1,
+                        order=self.scheduler.order,
+                        total_steps=len(timesteps),
+                        timestep=self.scheduler.config.num_train_timesteps,
+                        latents=latents,
+                    )
+                )
 
             # print("timesteps:", timesteps)
             for i, t in enumerate(self.progress_bar(timesteps)):
@@ -469,15 +471,17 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
                 #    self.invokeai_diffuser.setup_attention_map_saving(attention_map_saver)
 
                 if callback is not None:
-                    callback(PipelineIntermediateState(
-                        step=i,
-                        order=self.scheduler.order,
-                        total_steps=len(timesteps),
-                        timestep=int(t),
-                        latents=latents,
-                        predicted_original=predicted_original,
-                        attention_map_saver=attention_map_saver,
-                    ))
+                    callback(
+                        PipelineIntermediateState(
+                            step=i,
+                            order=self.scheduler.order,
+                            total_steps=len(timesteps),
+                            timestep=int(t),
+                            latents=latents,
+                            predicted_original=predicted_original,
+                            attention_map_saver=attention_map_saver,
+                        )
+                    )
 
             return latents, attention_map_saver
 
diff --git a/invokeai/backend/stable_diffusion/diffusion/__init__.py b/invokeai/backend/stable_diffusion/diffusion/__init__.py
index e9d86a933a..76f338aeaf 100644
--- a/invokeai/backend/stable_diffusion/diffusion/__init__.py
+++ b/invokeai/backend/stable_diffusion/diffusion/__init__.py
@@ -3,4 +3,9 @@ Initialization file for invokeai.models.diffusion
 """
 from .cross_attention_control import InvokeAICrossAttentionMixin
 from .cross_attention_map_saving import AttentionMapSaver
-from .shared_invokeai_diffusion import InvokeAIDiffuserComponent, PostprocessingSettings, BasicConditioningInfo, SDXLConditioningInfo
+from .shared_invokeai_diffusion import (
+    InvokeAIDiffuserComponent,
+    PostprocessingSettings,
+    BasicConditioningInfo,
+    SDXLConditioningInfo,
+)

From b524bf3c04145ae3a360174f540e625df3f57266 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 14 Aug 2023 07:37:47 -0400
Subject: [PATCH 218/287] allow symbolic links to be followed during autoimport

---
 invokeai/backend/model_management/model_search.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/backend/model_management/model_search.py b/invokeai/backend/model_management/model_search.py
index 9c87d6c408..0a98091f4a 100644
--- a/invokeai/backend/model_management/model_search.py
+++ b/invokeai/backend/model_management/model_search.py
@@ -56,7 +56,7 @@ class ModelSearch(ABC):
         self.on_search_completed()
 
     def walk_directory(self, path: Path):
-        for root, dirs, files in os.walk(path):
+        for root, dirs, files in os.walk(path, followlinks=True):
             if str(Path(root).name).startswith("."):
                 self._pruned_paths.add(root)
             if any([Path(root).is_relative_to(x) for x in self._pruned_paths]):

From d3d8b71c670a897875289f2d02f5ae83aa047307 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 15 Aug 2023 11:14:36 +1200
Subject: [PATCH 219/287] feat: Change refinerStart default to 0.8

This is the recommended value according to the paper.
---
 .../sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx       | 2 +-
 invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts      | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
index a98259203c..1432e272ca 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLRefiner/ParamSDXLRefinerStart.tsx
@@ -28,7 +28,7 @@ const ParamSDXLRefinerStart = () => {
   );
 
   const handleReset = useCallback(
-    () => dispatch(setRefinerStart(0.7)),
+    () => dispatch(setRefinerStart(0.8)),
     [dispatch]
   );
 
diff --git a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
index 7670790f05..a020a453f7 100644
--- a/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
+++ b/invokeai/frontend/web/src/features/sdxl/store/sdxlSlice.ts
@@ -33,7 +33,7 @@ const sdxlInitialState: SDXLInitialState = {
   refinerScheduler: 'euler',
   refinerPositiveAestheticScore: 6,
   refinerNegativeAestheticScore: 2.5,
-  refinerStart: 0.7,
+  refinerStart: 0.8,
 };
 
 const sdxlSlice = createSlice({

From 549d2e0485b5c31c4a24c5cb45af138600b1d156 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Thu, 10 Aug 2023 22:37:48 +1000
Subject: [PATCH 220/287] chore: remove old web server code and python deps

---
 invokeai/backend/web/__init__.py              |    4 -
 invokeai/backend/web/invoke_ai_web_server.py  | 1654 -----------------
 invokeai/backend/web/modules/__init__.py      |    0
 .../backend/web/modules/create_cmd_parser.py  |   56 -
 .../web/modules/get_canvas_generation_mode.py |  113 --
 invokeai/backend/web/modules/parameters.py    |   82 -
 .../backend/web/modules/parse_seed_weights.py |   47 -
 .../init-img_full_transparency.png            |  Bin 2731 -> 0 bytes
 .../modules/test_images/init-img_opaque.png   |  Bin 299473 -> 0 bytes
 .../init-img_partial_transparency.png         |  Bin 167798 -> 0 bytes
 .../test_images/init-mask_has_mask.png        |  Bin 9684 -> 0 bytes
 .../modules/test_images/init-mask_no_mask.png |  Bin 3513 -> 0 bytes
 pyproject.toml                                |    5 -
 13 files changed, 1961 deletions(-)
 delete mode 100644 invokeai/backend/web/__init__.py
 delete mode 100644 invokeai/backend/web/invoke_ai_web_server.py
 delete mode 100644 invokeai/backend/web/modules/__init__.py
 delete mode 100644 invokeai/backend/web/modules/create_cmd_parser.py
 delete mode 100644 invokeai/backend/web/modules/get_canvas_generation_mode.py
 delete mode 100644 invokeai/backend/web/modules/parameters.py
 delete mode 100644 invokeai/backend/web/modules/parse_seed_weights.py
 delete mode 100644 invokeai/backend/web/modules/test_images/init-img_full_transparency.png
 delete mode 100644 invokeai/backend/web/modules/test_images/init-img_opaque.png
 delete mode 100644 invokeai/backend/web/modules/test_images/init-img_partial_transparency.png
 delete mode 100644 invokeai/backend/web/modules/test_images/init-mask_has_mask.png
 delete mode 100644 invokeai/backend/web/modules/test_images/init-mask_no_mask.png

diff --git a/invokeai/backend/web/__init__.py b/invokeai/backend/web/__init__.py
deleted file mode 100644
index c57600f72b..0000000000
--- a/invokeai/backend/web/__init__.py
+++ /dev/null
@@ -1,4 +0,0 @@
-"""
-Initialization file for the web backend.
-"""
-from .invoke_ai_web_server import InvokeAIWebServer
diff --git a/invokeai/backend/web/invoke_ai_web_server.py b/invokeai/backend/web/invoke_ai_web_server.py
deleted file mode 100644
index 88eb77551f..0000000000
--- a/invokeai/backend/web/invoke_ai_web_server.py
+++ /dev/null
@@ -1,1654 +0,0 @@
-import base64
-import glob
-import io
-import json
-import math
-import mimetypes
-import os
-import shutil
-import traceback
-from pathlib import Path
-from threading import Event
-from uuid import uuid4
-
-import eventlet
-from compel.prompt_parser import Blend
-from flask import Flask, make_response, redirect, request, send_from_directory
-from flask_socketio import SocketIO
-from PIL import Image
-from PIL.Image import Image as ImageType
-from werkzeug.utils import secure_filename
-
-import invokeai.backend.util.logging as logger
-import invokeai.frontend.web.dist as frontend
-
-from .. import Generate
-from ..args import APP_ID, APP_VERSION, Args, calculate_init_img_hash
-from ..generator import infill_methods
-from ..globals import Globals, global_converted_ckpts_dir, global_models_dir
-from ..image_util import PngWriter, retrieve_metadata
-from ...frontend.merge.merge_diffusers import merge_diffusion_models
-from ..prompting import (
-    get_prompt_structure,
-    get_tokens_for_prompt_object,
-)
-from ..stable_diffusion import PipelineIntermediateState
-from .modules.get_canvas_generation_mode import get_canvas_generation_mode
-from .modules.parameters import parameters_to_command
-
-# Loading Arguments
-opt = Args()
-args = opt.parse_args()
-
-# Set the root directory for static files and relative paths
-args.root_dir = os.path.expanduser(args.root_dir or "..")
-if not os.path.isabs(args.outdir):
-    args.outdir = os.path.join(args.root_dir, args.outdir)
-
-# normalize the config directory relative to root
-if not os.path.isabs(opt.conf):
-    opt.conf = os.path.normpath(os.path.join(Globals.root, opt.conf))
-
-
-class InvokeAIWebServer:
-    def __init__(self, generate: Generate, gfpgan, codeformer, esrgan) -> None:
-        self.host = args.host
-        self.port = args.port
-
-        self.generate = generate
-        self.gfpgan = gfpgan
-        self.codeformer = codeformer
-        self.esrgan = esrgan
-
-        self.canceled = Event()
-        self.ALLOWED_EXTENSIONS = {"png", "jpg", "jpeg"}
-
-    def allowed_file(self, filename: str) -> bool:
-        return "." in filename and filename.rsplit(".", 1)[1].lower() in self.ALLOWED_EXTENSIONS
-
-    def run(self):
-        self.setup_app()
-        self.setup_flask()
-
-    def setup_flask(self):
-        # Fix missing mimetypes on Windows
-        mimetypes.add_type("application/javascript", ".js")
-        mimetypes.add_type("text/css", ".css")
-        # Socket IO
-        engineio_logger = True if args.web_verbose else False
-        max_http_buffer_size = 10000000
-
-        socketio_args = {
-            "logger": logger,
-            "engineio_logger": engineio_logger,
-            "max_http_buffer_size": max_http_buffer_size,
-            "ping_interval": (50, 50),
-            "ping_timeout": 60,
-        }
-
-        if opt.cors:
-            _cors = opt.cors
-            # convert list back into comma-separated string,
-            # be defensive here, not sure in what form this arrives
-            if isinstance(_cors, list):
-                _cors = ",".join(_cors)
-            if "," in _cors:
-                _cors = _cors.split(",")
-            socketio_args["cors_allowed_origins"] = _cors
-
-        self.app = Flask(__name__, static_url_path="", static_folder=frontend.__path__[0])
-
-        self.socketio = SocketIO(self.app, **socketio_args)
-
-        # Keep Server Alive Route
-        @self.app.route("/flaskwebgui-keep-server-alive")
-        def keep_alive():
-            return {"message": "Server Running"}
-
-        # Outputs Route
-        self.app.config["OUTPUTS_FOLDER"] = os.path.abspath(args.outdir)
-
-        @self.app.route("/outputs/<path:file_path>")
-        def outputs(file_path):
-            return send_from_directory(self.app.config["OUTPUTS_FOLDER"], file_path)
-
-        # Base Route
-        @self.app.route("/")
-        def serve():
-            if args.web_develop:
-                return redirect("http://127.0.0.1:5173")
-            else:
-                return send_from_directory(self.app.static_folder, "index.html")
-
-        @self.app.route("/upload", methods=["POST"])
-        def upload():
-            try:
-                data = json.loads(request.form["data"])
-                filename = ""
-                # check if the post request has the file part
-                if "file" in request.files:
-                    file = request.files["file"]
-                    # If the user does not select a file, the browser submits an
-                    # empty file without a filename.
-                    if file.filename == "":
-                        return make_response("No file selected", 400)
-                    filename = file.filename
-                elif "dataURL" in data:
-                    file = dataURL_to_bytes(data["dataURL"])
-                    if "filename" not in data or data["filename"] == "":
-                        return make_response("No filename provided", 400)
-                    filename = data["filename"]
-                else:
-                    return make_response("No file or dataURL", 400)
-
-                kind = data["kind"]
-
-                if kind == "init":
-                    path = self.init_image_path
-                elif kind == "temp":
-                    path = self.temp_image_path
-                elif kind == "result":
-                    path = self.result_path
-                elif kind == "mask":
-                    path = self.mask_image_path
-                else:
-                    return make_response(f"Invalid upload kind: {kind}", 400)
-
-                if not self.allowed_file(filename):
-                    return make_response(
-                        f'Invalid file type, must be one of: {", ".join(self.ALLOWED_EXTENSIONS)}',
-                        400,
-                    )
-
-                secured_filename = secure_filename(filename)
-
-                uuid = uuid4().hex
-                truncated_uuid = uuid[:8]
-
-                split = os.path.splitext(secured_filename)
-                name = f"{split[0]}.{truncated_uuid}{split[1]}"
-
-                file_path = os.path.join(path, name)
-
-                if "dataURL" in data:
-                    with open(file_path, "wb") as f:
-                        f.write(file)
-                else:
-                    file.save(file_path)
-
-                mtime = os.path.getmtime(file_path)
-
-                pil_image = Image.open(file_path)
-
-                if "cropVisible" in data and data["cropVisible"] == True:
-                    visible_image_bbox = pil_image.getbbox()
-                    pil_image = pil_image.crop(visible_image_bbox)
-                    pil_image.save(file_path)
-
-                (width, height) = pil_image.size
-
-                thumbnail_path = save_thumbnail(pil_image, os.path.basename(file_path), self.thumbnail_image_path)
-
-                response = {
-                    "url": self.get_url_from_image_path(file_path),
-                    "thumbnail": self.get_url_from_image_path(thumbnail_path),
-                    "mtime": mtime,
-                    "width": width,
-                    "height": height,
-                }
-
-                return make_response(response, 200)
-
-            except Exception as e:
-                self.handle_exceptions(e)
-                return make_response("Error uploading file", 500)
-
-        self.load_socketio_listeners(self.socketio)
-
-        if args.gui:
-            logger.info("Launching Invoke AI GUI")
-            try:
-                from flaskwebgui import FlaskUI
-
-                FlaskUI(
-                    app=self.app,
-                    socketio=self.socketio,
-                    server="flask_socketio",
-                    width=1600,
-                    height=1000,
-                    port=self.port,
-                ).run()
-            except KeyboardInterrupt:
-                import sys
-
-                sys.exit(0)
-        else:
-            useSSL = args.certfile or args.keyfile
-            logger.info("Started Invoke AI Web Server")
-            if self.host == "0.0.0.0":
-                logger.info(
-                    f"Point your browser at http{'s' if useSSL else ''}://localhost:{self.port} or use the host's DNS name or IP address."
-                )
-            else:
-                logger.info("Default host address now 127.0.0.1 (localhost). Use --host 0.0.0.0 to bind any address.")
-                logger.info(f"Point your browser at http{'s' if useSSL else ''}://{self.host}:{self.port}")
-            if not useSSL:
-                self.socketio.run(app=self.app, host=self.host, port=self.port)
-            else:
-                self.socketio.run(
-                    app=self.app,
-                    host=self.host,
-                    port=self.port,
-                    certfile=args.certfile,
-                    keyfile=args.keyfile,
-                )
-
-    def setup_app(self):
-        self.result_url = "outputs/"
-        self.init_image_url = "outputs/init-images/"
-        self.mask_image_url = "outputs/mask-images/"
-        self.intermediate_url = "outputs/intermediates/"
-        self.temp_image_url = "outputs/temp-images/"
-        self.thumbnail_image_url = "outputs/thumbnails/"
-        # location for "finished" images
-        self.result_path = args.outdir
-        # temporary path for intermediates
-        self.intermediate_path = os.path.join(self.result_path, "intermediates/")
-        # path for user-uploaded init images and masks
-        self.init_image_path = os.path.join(self.result_path, "init-images/")
-        self.mask_image_path = os.path.join(self.result_path, "mask-images/")
-        # path for temp images e.g. gallery generations which are not committed
-        self.temp_image_path = os.path.join(self.result_path, "temp-images/")
-        # path for thumbnail images
-        self.thumbnail_image_path = os.path.join(self.result_path, "thumbnails/")
-        # txt log
-        self.log_path = os.path.join(self.result_path, "invoke_logger.txt")
-        # make all output paths
-        [
-            os.makedirs(path, exist_ok=True)
-            for path in [
-                self.result_path,
-                self.intermediate_path,
-                self.init_image_path,
-                self.mask_image_path,
-                self.temp_image_path,
-                self.thumbnail_image_path,
-            ]
-        ]
-
-    def load_socketio_listeners(self, socketio):
-        @socketio.on("requestSystemConfig")
-        def handle_request_capabilities():
-            logger.info("System config requested")
-            config = self.get_system_config()
-            config["model_list"] = self.generate.model_manager.list_models()
-            config["infill_methods"] = infill_methods()
-            socketio.emit("systemConfig", config)
-
-        @socketio.on("searchForModels")
-        def handle_search_models(search_folder: str):
-            try:
-                if not search_folder:
-                    socketio.emit(
-                        "foundModels",
-                        {"search_folder": None, "found_models": None},
-                    )
-                else:
-                    (
-                        search_folder,
-                        found_models,
-                    ) = self.generate.model_manager.search_models(search_folder)
-                    socketio.emit(
-                        "foundModels",
-                        {"search_folder": search_folder, "found_models": found_models},
-                    )
-            except Exception as e:
-                self.handle_exceptions(e)
-                print("\n")
-
-        @socketio.on("addNewModel")
-        def handle_add_model(new_model_config: dict):
-            try:
-                model_name = new_model_config["name"]
-                del new_model_config["name"]
-                model_attributes = new_model_config
-                if len(model_attributes["vae"]) == 0:
-                    del model_attributes["vae"]
-                update = False
-                current_model_list = self.generate.model_manager.list_models()
-                if model_name in current_model_list:
-                    update = True
-
-                logger.info(f"Adding New Model: {model_name}")
-
-                self.generate.model_manager.add_model(
-                    model_name=model_name,
-                    model_attributes=model_attributes,
-                    clobber=True,
-                )
-                self.generate.model_manager.commit(opt.conf)
-
-                new_model_list = self.generate.model_manager.list_models()
-                socketio.emit(
-                    "newModelAdded",
-                    {
-                        "new_model_name": model_name,
-                        "model_list": new_model_list,
-                        "update": update,
-                    },
-                )
-                logger.info(f"New Model Added: {model_name}")
-            except Exception as e:
-                self.handle_exceptions(e)
-
-        @socketio.on("deleteModel")
-        def handle_delete_model(model_name: str):
-            try:
-                logger.info(f"Deleting Model: {model_name}")
-                self.generate.model_manager.del_model(model_name)
-                self.generate.model_manager.commit(opt.conf)
-                updated_model_list = self.generate.model_manager.list_models()
-                socketio.emit(
-                    "modelDeleted",
-                    {
-                        "deleted_model_name": model_name,
-                        "model_list": updated_model_list,
-                    },
-                )
-                logger.info(f"Model Deleted: {model_name}")
-            except Exception as e:
-                self.handle_exceptions(e)
-
-        @socketio.on("requestModelChange")
-        def handle_set_model(model_name: str):
-            try:
-                logger.info(f"Model change requested: {model_name}")
-                model = self.generate.set_model(model_name)
-                model_list = self.generate.model_manager.list_models()
-                if model is None:
-                    socketio.emit(
-                        "modelChangeFailed",
-                        {"model_name": model_name, "model_list": model_list},
-                    )
-                else:
-                    socketio.emit(
-                        "modelChanged",
-                        {"model_name": model_name, "model_list": model_list},
-                    )
-            except Exception as e:
-                self.handle_exceptions(e)
-
-        @socketio.on("convertToDiffusers")
-        def convert_to_diffusers(model_to_convert: dict):
-            try:
-                if model_info := self.generate.model_manager.model_info(model_name=model_to_convert["model_name"]):
-                    if "weights" in model_info:
-                        ckpt_path = Path(model_info["weights"])
-                        original_config_file = Path(model_info["config"])
-                        model_name = model_to_convert["model_name"]
-                        model_description = model_info["description"]
-                    else:
-                        self.socketio.emit("error", {"message": "Model is not a valid checkpoint file"})
-                else:
-                    self.socketio.emit("error", {"message": "Could not retrieve model info."})
-
-                if not ckpt_path.is_absolute():
-                    ckpt_path = Path(Globals.root, ckpt_path)
-
-                if original_config_file and not original_config_file.is_absolute():
-                    original_config_file = Path(Globals.root, original_config_file)
-
-                diffusers_path = Path(ckpt_path.parent.absolute(), f"{model_name}_diffusers")
-
-                if model_to_convert["save_location"] == "root":
-                    diffusers_path = Path(global_converted_ckpts_dir(), f"{model_name}_diffusers")
-
-                if model_to_convert["save_location"] == "custom" and model_to_convert["custom_location"] is not None:
-                    diffusers_path = Path(model_to_convert["custom_location"], f"{model_name}_diffusers")
-
-                if diffusers_path.exists():
-                    shutil.rmtree(diffusers_path)
-
-                self.generate.model_manager.convert_and_import(
-                    ckpt_path,
-                    diffusers_path,
-                    model_name=model_name,
-                    model_description=model_description,
-                    vae=None,
-                    original_config_file=original_config_file,
-                    commit_to_conf=opt.conf,
-                )
-
-                new_model_list = self.generate.model_manager.list_models()
-                socketio.emit(
-                    "modelConverted",
-                    {
-                        "new_model_name": model_name,
-                        "model_list": new_model_list,
-                        "update": True,
-                    },
-                )
-                logger.info(f"Model Converted: {model_name}")
-            except Exception as e:
-                self.handle_exceptions(e)
-
-        @socketio.on("mergeDiffusersModels")
-        def merge_diffusers_models(model_merge_info: dict):
-            try:
-                models_to_merge = model_merge_info["models_to_merge"]
-                model_ids_or_paths = [self.generate.model_manager.model_name_or_path(x) for x in models_to_merge]
-                merged_pipe = merge_diffusion_models(
-                    model_ids_or_paths,
-                    model_merge_info["alpha"],
-                    model_merge_info["interp"],
-                    model_merge_info["force"],
-                )
-
-                dump_path = global_models_dir() / "merged_models"
-                if model_merge_info["model_merge_save_path"] is not None:
-                    dump_path = Path(model_merge_info["model_merge_save_path"])
-
-                os.makedirs(dump_path, exist_ok=True)
-                dump_path = dump_path / model_merge_info["merged_model_name"]
-                merged_pipe.save_pretrained(dump_path, safe_serialization=1)
-
-                merged_model_config = dict(
-                    model_name=model_merge_info["merged_model_name"],
-                    description=f'Merge of models {", ".join(models_to_merge)}',
-                    commit_to_conf=opt.conf,
-                )
-
-                if vae := self.generate.model_manager.config[models_to_merge[0]].get("vae", None):
-                    logger.info(f"Using configured VAE assigned to {models_to_merge[0]}")
-                    merged_model_config.update(vae=vae)
-
-                self.generate.model_manager.import_diffuser_model(dump_path, **merged_model_config)
-                new_model_list = self.generate.model_manager.list_models()
-
-                socketio.emit(
-                    "modelsMerged",
-                    {
-                        "merged_models": models_to_merge,
-                        "merged_model_name": model_merge_info["merged_model_name"],
-                        "model_list": new_model_list,
-                        "update": True,
-                    },
-                )
-                logger.info(f"Models Merged: {models_to_merge}")
-                logger.info(f"New Model Added: {model_merge_info['merged_model_name']}")
-            except Exception as e:
-                self.handle_exceptions(e)
-
-        @socketio.on("requestEmptyTempFolder")
-        def empty_temp_folder():
-            try:
-                temp_files = glob.glob(os.path.join(self.temp_image_path, "*"))
-                for f in temp_files:
-                    try:
-                        os.remove(f)
-                        thumbnail_path = os.path.join(
-                            self.thumbnail_image_path,
-                            os.path.splitext(os.path.basename(f))[0] + ".webp",
-                        )
-                        os.remove(thumbnail_path)
-                    except Exception as e:
-                        socketio.emit("error", {"message": f"Unable to delete {f}: {str(e)}"})
-                        pass
-
-                socketio.emit("tempFolderEmptied")
-            except Exception as e:
-                self.handle_exceptions(e)
-
-        @socketio.on("requestSaveStagingAreaImageToGallery")
-        def save_temp_image_to_gallery(url):
-            try:
-                image_path = self.get_image_path_from_url(url)
-                new_path = os.path.join(self.result_path, os.path.basename(image_path))
-                shutil.copy2(image_path, new_path)
-
-                if os.path.splitext(new_path)[1] == ".png":
-                    metadata = retrieve_metadata(new_path)
-                else:
-                    metadata = {}
-
-                pil_image = Image.open(new_path)
-
-                (width, height) = pil_image.size
-
-                thumbnail_path = save_thumbnail(pil_image, os.path.basename(new_path), self.thumbnail_image_path)
-
-                image_array = [
-                    {
-                        "url": self.get_url_from_image_path(new_path),
-                        "thumbnail": self.get_url_from_image_path(thumbnail_path),
-                        "mtime": os.path.getmtime(new_path),
-                        "metadata": metadata,
-                        "width": width,
-                        "height": height,
-                        "category": "result",
-                    }
-                ]
-
-                socketio.emit(
-                    "galleryImages",
-                    {"images": image_array, "category": "result"},
-                )
-
-            except Exception as e:
-                self.handle_exceptions(e)
-
-        @socketio.on("requestLatestImages")
-        def handle_request_latest_images(category, latest_mtime):
-            try:
-                base_path = self.result_path if category == "result" else self.init_image_path
-
-                paths = []
-
-                for ext in ("*.png", "*.jpg", "*.jpeg"):
-                    paths.extend(glob.glob(os.path.join(base_path, ext)))
-
-                image_paths = sorted(paths, key=lambda x: os.path.getmtime(x), reverse=True)
-
-                image_paths = list(
-                    filter(
-                        lambda x: os.path.getmtime(x) > latest_mtime,
-                        image_paths,
-                    )
-                )
-
-                image_array = []
-
-                for path in image_paths:
-                    try:
-                        if os.path.splitext(path)[1] == ".png":
-                            metadata = retrieve_metadata(path)
-                        else:
-                            metadata = {}
-
-                        pil_image = Image.open(path)
-                        (width, height) = pil_image.size
-
-                        thumbnail_path = save_thumbnail(pil_image, os.path.basename(path), self.thumbnail_image_path)
-
-                        image_array.append(
-                            {
-                                "url": self.get_url_from_image_path(path),
-                                "thumbnail": self.get_url_from_image_path(thumbnail_path),
-                                "mtime": os.path.getmtime(path),
-                                "metadata": metadata.get("sd-metadata"),
-                                "dreamPrompt": metadata.get("Dream"),
-                                "width": width,
-                                "height": height,
-                                "category": category,
-                            }
-                        )
-                    except Exception as e:
-                        socketio.emit("error", {"message": f"Unable to load {path}: {str(e)}"})
-                        pass
-
-                socketio.emit(
-                    "galleryImages",
-                    {"images": image_array, "category": category},
-                )
-            except Exception as e:
-                self.handle_exceptions(e)
-
-        @socketio.on("requestImages")
-        def handle_request_images(category, earliest_mtime=None):
-            try:
-                page_size = 50
-
-                base_path = self.result_path if category == "result" else self.init_image_path
-
-                paths = []
-                for ext in ("*.png", "*.jpg", "*.jpeg"):
-                    paths.extend(glob.glob(os.path.join(base_path, ext)))
-
-                image_paths = sorted(paths, key=lambda x: os.path.getmtime(x), reverse=True)
-
-                if earliest_mtime:
-                    image_paths = list(
-                        filter(
-                            lambda x: os.path.getmtime(x) < earliest_mtime,
-                            image_paths,
-                        )
-                    )
-
-                areMoreImagesAvailable = len(image_paths) >= page_size
-                image_paths = image_paths[slice(0, page_size)]
-
-                image_array = []
-                for path in image_paths:
-                    try:
-                        if os.path.splitext(path)[1] == ".png":
-                            metadata = retrieve_metadata(path)
-                        else:
-                            metadata = {}
-
-                        pil_image = Image.open(path)
-                        (width, height) = pil_image.size
-
-                        thumbnail_path = save_thumbnail(pil_image, os.path.basename(path), self.thumbnail_image_path)
-
-                        image_array.append(
-                            {
-                                "url": self.get_url_from_image_path(path),
-                                "thumbnail": self.get_url_from_image_path(thumbnail_path),
-                                "mtime": os.path.getmtime(path),
-                                "metadata": metadata.get("sd-metadata"),
-                                "dreamPrompt": metadata.get("Dream"),
-                                "width": width,
-                                "height": height,
-                                "category": category,
-                            }
-                        )
-                    except Exception as e:
-                        logger.info(f"Unable to load {path}")
-                        socketio.emit("error", {"message": f"Unable to load {path}: {str(e)}"})
-                        pass
-
-                socketio.emit(
-                    "galleryImages",
-                    {
-                        "images": image_array,
-                        "areMoreImagesAvailable": areMoreImagesAvailable,
-                        "category": category,
-                    },
-                )
-            except Exception as e:
-                self.handle_exceptions(e)
-
-        @socketio.on("generateImage")
-        def handle_generate_image_event(generation_parameters, esrgan_parameters, facetool_parameters):
-            try:
-                # truncate long init_mask/init_img base64 if needed
-                printable_parameters = {
-                    **generation_parameters,
-                }
-
-                if "init_img" in generation_parameters:
-                    printable_parameters["init_img"] = printable_parameters["init_img"][:64] + "..."
-
-                if "init_mask" in generation_parameters:
-                    printable_parameters["init_mask"] = printable_parameters["init_mask"][:64] + "..."
-
-                logger.info(f"Image Generation Parameters:\n\n{printable_parameters}\n")
-                logger.info(f"ESRGAN Parameters: {esrgan_parameters}")
-                logger.info(f"Facetool Parameters: {facetool_parameters}")
-
-                self.generate_images(
-                    generation_parameters,
-                    esrgan_parameters,
-                    facetool_parameters,
-                )
-            except Exception as e:
-                self.handle_exceptions(e)
-
-        @socketio.on("runPostprocessing")
-        def handle_run_postprocessing(original_image, postprocessing_parameters):
-            try:
-                logger.info(f'Postprocessing requested for "{original_image["url"]}": {postprocessing_parameters}')
-
-                progress = Progress()
-
-                socketio.emit("progressUpdate", progress.to_formatted_dict())
-                eventlet.sleep(0)
-
-                original_image_path = self.get_image_path_from_url(original_image["url"])
-
-                image = Image.open(original_image_path)
-
-                try:
-                    seed = original_image["metadata"]["image"]["seed"]
-                except KeyError:
-                    seed = "unknown_seed"
-                    pass
-
-                if postprocessing_parameters["type"] == "esrgan":
-                    progress.set_current_status("common.statusUpscalingESRGAN")
-                elif postprocessing_parameters["type"] == "gfpgan":
-                    progress.set_current_status("common.statusRestoringFacesGFPGAN")
-                elif postprocessing_parameters["type"] == "codeformer":
-                    progress.set_current_status("common.statusRestoringFacesCodeFormer")
-
-                socketio.emit("progressUpdate", progress.to_formatted_dict())
-                eventlet.sleep(0)
-
-                if postprocessing_parameters["type"] == "esrgan":
-                    image = self.esrgan.process(
-                        image=image,
-                        upsampler_scale=postprocessing_parameters["upscale"][0],
-                        denoise_str=postprocessing_parameters["upscale"][1],
-                        strength=postprocessing_parameters["upscale"][2],
-                        seed=seed,
-                    )
-                elif postprocessing_parameters["type"] == "gfpgan":
-                    image = self.gfpgan.process(
-                        image=image,
-                        strength=postprocessing_parameters["facetool_strength"],
-                        seed=seed,
-                    )
-                elif postprocessing_parameters["type"] == "codeformer":
-                    image = self.codeformer.process(
-                        image=image,
-                        strength=postprocessing_parameters["facetool_strength"],
-                        fidelity=postprocessing_parameters["codeformer_fidelity"],
-                        seed=seed,
-                        device="cpu" if str(self.generate.device) == "mps" else self.generate.device,
-                    )
-                else:
-                    raise TypeError(f'{postprocessing_parameters["type"]} is not a valid postprocessing type')
-
-                progress.set_current_status("common.statusSavingImage")
-                socketio.emit("progressUpdate", progress.to_formatted_dict())
-                eventlet.sleep(0)
-
-                postprocessing_parameters["seed"] = seed
-                metadata = self.parameters_to_post_processed_image_metadata(
-                    parameters=postprocessing_parameters,
-                    original_image_path=original_image_path,
-                )
-
-                command = parameters_to_command(postprocessing_parameters)
-
-                (width, height) = image.size
-
-                path = self.save_result_image(
-                    image,
-                    command,
-                    metadata,
-                    self.result_path,
-                    postprocessing=postprocessing_parameters["type"],
-                )
-
-                thumbnail_path = save_thumbnail(image, os.path.basename(path), self.thumbnail_image_path)
-
-                self.write_log_message(
-                    f'[Postprocessed] "{original_image_path}" > "{path}": {postprocessing_parameters}'
-                )
-
-                progress.mark_complete()
-                socketio.emit("progressUpdate", progress.to_formatted_dict())
-                eventlet.sleep(0)
-
-                socketio.emit(
-                    "postprocessingResult",
-                    {
-                        "url": self.get_url_from_image_path(path),
-                        "thumbnail": self.get_url_from_image_path(thumbnail_path),
-                        "mtime": os.path.getmtime(path),
-                        "metadata": metadata,
-                        "dreamPrompt": command,
-                        "width": width,
-                        "height": height,
-                    },
-                )
-            except Exception as e:
-                self.handle_exceptions(e)
-
-        @socketio.on("cancel")
-        def handle_cancel():
-            logger.info("Cancel processing requested")
-            self.canceled.set()
-
-        # TODO: I think this needs a safety mechanism.
-        @socketio.on("deleteImage")
-        def handle_delete_image(url, thumbnail, uuid, category):
-            try:
-                logger.info(f'Delete requested "{url}"')
-                from send2trash import send2trash
-
-                path = self.get_image_path_from_url(url)
-                thumbnail_path = self.get_image_path_from_url(thumbnail)
-
-                send2trash(path)
-                send2trash(thumbnail_path)
-
-                socketio.emit(
-                    "imageDeleted",
-                    {"url": url, "uuid": uuid, "category": category},
-                )
-            except Exception as e:
-                self.handle_exceptions(e)
-
-    # App Functions
-    def get_system_config(self):
-        model_list: dict = self.generate.model_manager.list_models()
-        active_model_name = None
-
-        for model_name, model_dict in model_list.items():
-            if model_dict["status"] == "active":
-                active_model_name = model_name
-
-        return {
-            "model": "stable diffusion",
-            "model_weights": active_model_name,
-            "model_hash": self.generate.model_hash,
-            "app_id": APP_ID,
-            "app_version": APP_VERSION,
-        }
-
-    def generate_images(self, generation_parameters, esrgan_parameters, facetool_parameters):
-        try:
-            self.canceled.clear()
-
-            step_index = 1
-            prior_variations = (
-                generation_parameters["with_variations"] if "with_variations" in generation_parameters else []
-            )
-
-            actual_generation_mode = generation_parameters["generation_mode"]
-            original_bounding_box = None
-
-            progress = Progress(generation_parameters=generation_parameters)
-
-            self.socketio.emit("progressUpdate", progress.to_formatted_dict())
-            eventlet.sleep(0)
-
-            """
-            TODO:
-            If a result image is used as an init image, and then deleted, we will want to be
-            able to use it as an init image in the future. Need to handle this case.
-            """
-
-            """
-            Prepare for generation based on generation_mode
-            """
-            if generation_parameters["generation_mode"] == "unifiedCanvas":
-                """
-                generation_parameters["init_img"] is a base64 image
-                generation_parameters["init_mask"] is a base64 image
-
-                So we need to convert each into a PIL Image.
-                """
-
-                init_img_url = generation_parameters["init_img"]
-
-                original_bounding_box = generation_parameters["bounding_box"].copy()
-
-                initial_image = dataURL_to_image(generation_parameters["init_img"]).convert("RGBA")
-
-                """
-                The outpaint image and mask are pre-cropped by the UI, so the bounding box we pass
-                to the generator should be:
-                    {
-                        "x": 0,
-                        "y": 0,
-                        "width": original_bounding_box["width"],
-                        "height": original_bounding_box["height"]
-                    }
-                """
-
-                generation_parameters["bounding_box"]["x"] = 0
-                generation_parameters["bounding_box"]["y"] = 0
-
-                # Convert mask dataURL to an image and convert to greyscale
-                mask_image = dataURL_to_image(generation_parameters["init_mask"]).convert("L")
-
-                actual_generation_mode = get_canvas_generation_mode(initial_image, mask_image)
-
-                """
-                Apply the mask to the init image, creating a "mask" image with
-                transparency where inpainting should occur. This is the kind of
-                mask that prompt2image() needs.
-                """
-                alpha_mask = initial_image.copy()
-                alpha_mask.putalpha(mask_image)
-
-                generation_parameters["init_img"] = initial_image
-                generation_parameters["init_mask"] = alpha_mask
-
-                # Remove the unneeded parameters for whichever mode we are doing
-                if actual_generation_mode == "inpainting":
-                    generation_parameters.pop("seam_size", None)
-                    generation_parameters.pop("seam_blur", None)
-                    generation_parameters.pop("seam_strength", None)
-                    generation_parameters.pop("seam_steps", None)
-                    generation_parameters.pop("tile_size", None)
-                    generation_parameters.pop("force_outpaint", None)
-                elif actual_generation_mode == "img2img":
-                    generation_parameters["height"] = original_bounding_box["height"]
-                    generation_parameters["width"] = original_bounding_box["width"]
-                    generation_parameters.pop("init_mask", None)
-                    generation_parameters.pop("seam_size", None)
-                    generation_parameters.pop("seam_blur", None)
-                    generation_parameters.pop("seam_strength", None)
-                    generation_parameters.pop("seam_steps", None)
-                    generation_parameters.pop("tile_size", None)
-                    generation_parameters.pop("force_outpaint", None)
-                    generation_parameters.pop("infill_method", None)
-                elif actual_generation_mode == "txt2img":
-                    generation_parameters["height"] = original_bounding_box["height"]
-                    generation_parameters["width"] = original_bounding_box["width"]
-                    generation_parameters.pop("strength", None)
-                    generation_parameters.pop("fit", None)
-                    generation_parameters.pop("init_img", None)
-                    generation_parameters.pop("init_mask", None)
-                    generation_parameters.pop("seam_size", None)
-                    generation_parameters.pop("seam_blur", None)
-                    generation_parameters.pop("seam_strength", None)
-                    generation_parameters.pop("seam_steps", None)
-                    generation_parameters.pop("tile_size", None)
-                    generation_parameters.pop("force_outpaint", None)
-                    generation_parameters.pop("infill_method", None)
-
-            elif generation_parameters["generation_mode"] == "img2img":
-                init_img_url = generation_parameters["init_img"]
-                init_img_path = self.get_image_path_from_url(init_img_url)
-                generation_parameters["init_img"] = Image.open(init_img_path).convert("RGB")
-
-            def image_progress(intermediate_state: PipelineIntermediateState):
-                if self.canceled.is_set():
-                    raise CanceledException
-
-                nonlocal step_index
-                nonlocal generation_parameters
-                nonlocal progress
-
-                step = intermediate_state.step
-                if intermediate_state.predicted_original is not None:
-                    # Some schedulers report not only the noisy latents at the current timestep,
-                    # but also their estimate so far of what the de-noised latents will be.
-                    sample = intermediate_state.predicted_original
-                else:
-                    sample = intermediate_state.latents
-
-                generation_messages = {
-                    "txt2img": "common.statusGeneratingTextToImage",
-                    "img2img": "common.statusGeneratingImageToImage",
-                    "inpainting": "common.statusGeneratingInpainting",
-                    "outpainting": "common.statusGeneratingOutpainting",
-                }
-
-                progress.set_current_step(step + 1)
-                progress.set_current_status(f"{generation_messages[actual_generation_mode]}")
-                progress.set_current_status_has_steps(True)
-
-                if (
-                    generation_parameters["progress_images"]
-                    and step % generation_parameters["save_intermediates"] == 0
-                    and step < generation_parameters["steps"] - 1
-                ):
-                    image = self.generate.sample_to_image(sample)
-                    metadata = self.parameters_to_generated_image_metadata(generation_parameters)
-                    command = parameters_to_command(generation_parameters)
-
-                    (width, height) = image.size
-
-                    path = self.save_result_image(
-                        image,
-                        command,
-                        metadata,
-                        self.intermediate_path,
-                        step_index=step_index,
-                        postprocessing=False,
-                    )
-
-                    step_index += 1
-                    self.socketio.emit(
-                        "intermediateResult",
-                        {
-                            "url": self.get_url_from_image_path(path),
-                            "mtime": os.path.getmtime(path),
-                            "metadata": metadata,
-                            "width": width,
-                            "height": height,
-                            "generationMode": generation_parameters["generation_mode"],
-                            "boundingBox": original_bounding_box,
-                        },
-                    )
-
-                if generation_parameters["progress_latents"]:
-                    image = self.generate.sample_to_lowres_estimated_image(sample)
-                    (width, height) = image.size
-                    width *= 8
-                    height *= 8
-                    img_base64 = image_to_dataURL(image, image_format="JPEG")
-                    self.socketio.emit(
-                        "intermediateResult",
-                        {
-                            "url": img_base64,
-                            "isBase64": True,
-                            "mtime": 0,
-                            "metadata": {},
-                            "width": width,
-                            "height": height,
-                            "generationMode": generation_parameters["generation_mode"],
-                            "boundingBox": original_bounding_box,
-                        },
-                    )
-
-                self.socketio.emit("progressUpdate", progress.to_formatted_dict())
-                eventlet.sleep(0)
-
-            def image_done(image, seed, first_seed, attention_maps_image=None):
-                if self.canceled.is_set():
-                    raise CanceledException
-
-                nonlocal generation_parameters
-                nonlocal esrgan_parameters
-                nonlocal facetool_parameters
-                nonlocal progress
-
-                nonlocal prior_variations
-
-                """
-                Tidy up after generation based on generation_mode
-                """
-                # paste the inpainting image back onto the original
-                if generation_parameters["generation_mode"] == "inpainting":
-                    image = paste_image_into_bounding_box(
-                        Image.open(init_img_path),
-                        image,
-                        **generation_parameters["bounding_box"],
-                    )
-
-                progress.set_current_status("common.statusGenerationComplete")
-
-                self.socketio.emit("progressUpdate", progress.to_formatted_dict())
-                eventlet.sleep(0)
-
-                all_parameters = generation_parameters
-                postprocessing = False
-
-                if "variation_amount" in all_parameters and all_parameters["variation_amount"] > 0:
-                    first_seed = first_seed or seed
-                    this_variation = [[seed, all_parameters["variation_amount"]]]
-                    all_parameters["with_variations"] = prior_variations + this_variation
-                    all_parameters["seed"] = first_seed
-                elif "with_variations" in all_parameters:
-                    all_parameters["seed"] = first_seed
-                else:
-                    all_parameters["seed"] = seed
-
-                if self.canceled.is_set():
-                    raise CanceledException
-
-                if esrgan_parameters:
-                    progress.set_current_status("common.statusUpscaling")
-                    progress.set_current_status_has_steps(False)
-                    self.socketio.emit("progressUpdate", progress.to_formatted_dict())
-                    eventlet.sleep(0)
-
-                    image = self.esrgan.process(
-                        image=image,
-                        upsampler_scale=esrgan_parameters["level"],
-                        denoise_str=esrgan_parameters["denoise_str"],
-                        strength=esrgan_parameters["strength"],
-                        seed=seed,
-                    )
-
-                    postprocessing = True
-                    all_parameters["upscale"] = [
-                        esrgan_parameters["level"],
-                        esrgan_parameters["denoise_str"],
-                        esrgan_parameters["strength"],
-                    ]
-
-                if self.canceled.is_set():
-                    raise CanceledException
-
-                if facetool_parameters:
-                    if facetool_parameters["type"] == "gfpgan":
-                        progress.set_current_status("common.statusRestoringFacesGFPGAN")
-                    elif facetool_parameters["type"] == "codeformer":
-                        progress.set_current_status("common.statusRestoringFacesCodeFormer")
-
-                    progress.set_current_status_has_steps(False)
-                    self.socketio.emit("progressUpdate", progress.to_formatted_dict())
-                    eventlet.sleep(0)
-
-                    if facetool_parameters["type"] == "gfpgan":
-                        image = self.gfpgan.process(
-                            image=image,
-                            strength=facetool_parameters["strength"],
-                            seed=seed,
-                        )
-                    elif facetool_parameters["type"] == "codeformer":
-                        image = self.codeformer.process(
-                            image=image,
-                            strength=facetool_parameters["strength"],
-                            fidelity=facetool_parameters["codeformer_fidelity"],
-                            seed=seed,
-                            device="cpu" if str(self.generate.device) == "mps" else self.generate.device,
-                        )
-                        all_parameters["codeformer_fidelity"] = facetool_parameters["codeformer_fidelity"]
-
-                    postprocessing = True
-                    all_parameters["facetool_strength"] = facetool_parameters["strength"]
-                    all_parameters["facetool_type"] = facetool_parameters["type"]
-
-                progress.set_current_status("common.statusSavingImage")
-                self.socketio.emit("progressUpdate", progress.to_formatted_dict())
-                eventlet.sleep(0)
-
-                # restore the stashed URLS and discard the paths, we are about to send the result to client
-                all_parameters["init_img"] = (
-                    init_img_url if generation_parameters["generation_mode"] == "img2img" else ""
-                )
-
-                if "init_mask" in all_parameters:
-                    # TODO: store the mask in metadata
-                    all_parameters["init_mask"] = ""
-
-                if generation_parameters["generation_mode"] == "unifiedCanvas":
-                    all_parameters["bounding_box"] = original_bounding_box
-
-                metadata = self.parameters_to_generated_image_metadata(all_parameters)
-
-                command = parameters_to_command(all_parameters)
-
-                (width, height) = image.size
-
-                generated_image_outdir = (
-                    self.result_path
-                    if generation_parameters["generation_mode"] in ["txt2img", "img2img"]
-                    else self.temp_image_path
-                )
-
-                path = self.save_result_image(
-                    image,
-                    command,
-                    metadata,
-                    generated_image_outdir,
-                    postprocessing=postprocessing,
-                )
-
-                thumbnail_path = save_thumbnail(image, os.path.basename(path), self.thumbnail_image_path)
-
-                logger.info(f'Image generated: "{path}"\n')
-                self.write_log_message(f'[Generated] "{path}": {command}')
-
-                if progress.total_iterations > progress.current_iteration:
-                    progress.set_current_step(1)
-                    progress.set_current_status("common.statusIterationComplete")
-                    progress.set_current_status_has_steps(False)
-                else:
-                    progress.mark_complete()
-
-                self.socketio.emit("progressUpdate", progress.to_formatted_dict())
-                eventlet.sleep(0)
-
-                parsed_prompt, _ = get_prompt_structure(generation_parameters["prompt"])
-                with self.generate.model_context as model:
-                    tokens = (
-                        None
-                        if type(parsed_prompt) is Blend
-                        else get_tokens_for_prompt_object(model.tokenizer, parsed_prompt)
-                    )
-                attention_maps_image_base64_url = (
-                    None if attention_maps_image is None else image_to_dataURL(attention_maps_image)
-                )
-
-                self.socketio.emit(
-                    "generationResult",
-                    {
-                        "url": self.get_url_from_image_path(path),
-                        "thumbnail": self.get_url_from_image_path(thumbnail_path),
-                        "mtime": os.path.getmtime(path),
-                        "metadata": metadata,
-                        "dreamPrompt": command,
-                        "width": width,
-                        "height": height,
-                        "boundingBox": original_bounding_box,
-                        "generationMode": generation_parameters["generation_mode"],
-                        "attentionMaps": attention_maps_image_base64_url,
-                        "tokens": tokens,
-                    },
-                )
-                eventlet.sleep(0)
-
-                progress.set_current_iteration(progress.current_iteration + 1)
-
-            self.generate.prompt2image(
-                **generation_parameters,
-                step_callback=image_progress,
-                image_callback=image_done,
-            )
-
-        except KeyboardInterrupt:
-            # Clear the CUDA cache on an exception
-            self.empty_cuda_cache()
-            self.socketio.emit("processingCanceled")
-            raise
-        except CanceledException:
-            # Clear the CUDA cache on an exception
-            self.empty_cuda_cache()
-            self.socketio.emit("processingCanceled")
-            pass
-        except Exception as e:
-            # Clear the CUDA cache on an exception
-            self.empty_cuda_cache()
-            logger.error(e)
-            self.handle_exceptions(e)
-
-    def empty_cuda_cache(self):
-        if self.generate.device.type == "cuda":
-            import torch.cuda
-
-            torch.cuda.empty_cache()
-
-    def parameters_to_generated_image_metadata(self, parameters):
-        try:
-            # top-level metadata minus `image` or `images`
-            metadata = self.get_system_config()
-            # remove any image keys not mentioned in RFC #266
-            rfc266_img_fields = [
-                "type",
-                "postprocessing",
-                "sampler",
-                "prompt",
-                "seed",
-                "variations",
-                "steps",
-                "cfg_scale",
-                "threshold",
-                "perlin",
-                "step_number",
-                "width",
-                "height",
-                "extra",
-                "seamless",
-                "hires_fix",
-            ]
-
-            rfc_dict = {}
-
-            for item in parameters.items():
-                key, value = item
-                if key in rfc266_img_fields:
-                    rfc_dict[key] = value
-
-            postprocessing = []
-
-            rfc_dict["type"] = parameters["generation_mode"]
-
-            # 'postprocessing' is either null or an
-            if "facetool_strength" in parameters:
-                facetool_parameters = {
-                    "type": str(parameters["facetool_type"]),
-                    "strength": float(parameters["facetool_strength"]),
-                }
-
-                if parameters["facetool_type"] == "codeformer":
-                    facetool_parameters["fidelity"] = float(parameters["codeformer_fidelity"])
-
-                postprocessing.append(facetool_parameters)
-
-            if "upscale" in parameters:
-                postprocessing.append(
-                    {
-                        "type": "esrgan",
-                        "scale": int(parameters["upscale"][0]),
-                        "denoise_str": int(parameters["upscale"][1]),
-                        "strength": float(parameters["upscale"][2]),
-                    }
-                )
-
-            rfc_dict["postprocessing"] = postprocessing if len(postprocessing) > 0 else None
-
-            # semantic drift
-            rfc_dict["sampler"] = parameters["sampler_name"]
-
-            # 'variations' should always exist and be an array, empty or consisting of {'seed': seed, 'weight': weight} pairs
-            variations = []
-
-            if "with_variations" in parameters:
-                variations = [{"seed": x[0], "weight": x[1]} for x in parameters["with_variations"]]
-
-            rfc_dict["variations"] = variations
-
-            if rfc_dict["type"] == "img2img":
-                rfc_dict["strength"] = parameters["strength"]
-                rfc_dict["fit"] = parameters["fit"]  # TODO: Noncompliant
-                rfc_dict["orig_hash"] = calculate_init_img_hash(self.get_image_path_from_url(parameters["init_img"]))
-                rfc_dict["init_image_path"] = parameters["init_img"]  # TODO: Noncompliant
-
-            metadata["image"] = rfc_dict
-
-            return metadata
-
-        except Exception as e:
-            self.handle_exceptions(e)
-
-    def parameters_to_post_processed_image_metadata(self, parameters, original_image_path):
-        try:
-            current_metadata = retrieve_metadata(original_image_path)["sd-metadata"]
-            postprocessing_metadata = {}
-
-            """
-            if we don't have an original image metadata to reconstruct,
-            need to record the original image and its hash
-            """
-            if "image" not in current_metadata:
-                current_metadata["image"] = {}
-
-                orig_hash = calculate_init_img_hash(self.get_image_path_from_url(original_image_path))
-
-                postprocessing_metadata["orig_path"] = (original_image_path,)
-                postprocessing_metadata["orig_hash"] = orig_hash
-
-            if parameters["type"] == "esrgan":
-                postprocessing_metadata["type"] = "esrgan"
-                postprocessing_metadata["scale"] = parameters["upscale"][0]
-                postprocessing_metadata["denoise_str"] = parameters["upscale"][1]
-                postprocessing_metadata["strength"] = parameters["upscale"][2]
-            elif parameters["type"] == "gfpgan":
-                postprocessing_metadata["type"] = "gfpgan"
-                postprocessing_metadata["strength"] = parameters["facetool_strength"]
-            elif parameters["type"] == "codeformer":
-                postprocessing_metadata["type"] = "codeformer"
-                postprocessing_metadata["strength"] = parameters["facetool_strength"]
-                postprocessing_metadata["fidelity"] = parameters["codeformer_fidelity"]
-
-            else:
-                raise TypeError(f"Invalid type: {parameters['type']}")
-
-            if "postprocessing" in current_metadata["image"] and isinstance(
-                current_metadata["image"]["postprocessing"], list
-            ):
-                current_metadata["image"]["postprocessing"].append(postprocessing_metadata)
-            else:
-                current_metadata["image"]["postprocessing"] = [postprocessing_metadata]
-
-            return current_metadata
-
-        except Exception as e:
-            self.handle_exceptions(e)
-
-    def save_result_image(
-        self,
-        image,
-        command,
-        metadata,
-        output_dir,
-        step_index=None,
-        postprocessing=False,
-    ):
-        try:
-            pngwriter = PngWriter(output_dir)
-
-            number_prefix = pngwriter.unique_prefix()
-
-            uuid = uuid4().hex
-            truncated_uuid = uuid[:8]
-
-            seed = "unknown_seed"
-
-            if "image" in metadata:
-                if "seed" in metadata["image"]:
-                    seed = metadata["image"]["seed"]
-
-            filename = f"{number_prefix}.{truncated_uuid}.{seed}"
-
-            if step_index:
-                filename += f".{step_index}"
-            if postprocessing:
-                filename += ".postprocessed"
-
-            filename += ".png"
-
-            path = pngwriter.save_image_and_prompt_to_png(
-                image=image,
-                dream_prompt=command,
-                metadata=metadata,
-                name=filename,
-            )
-
-            return os.path.abspath(path)
-
-        except Exception as e:
-            self.handle_exceptions(e)
-
-    def make_unique_init_image_filename(self, name):
-        try:
-            uuid = uuid4().hex
-            split = os.path.splitext(name)
-            name = f"{split[0]}.{uuid}{split[1]}"
-            return name
-        except Exception as e:
-            self.handle_exceptions(e)
-
-    def calculate_real_steps(self, steps, strength, has_init_image):
-        import math
-
-        return math.floor(strength * steps) if has_init_image else steps
-
-    def write_log_message(self, message):
-        """Logs the filename and parameters used to generate or process that image to log file"""
-        try:
-            message = f"{message}\n"
-            with open(self.log_path, "a", encoding="utf-8") as file:
-                file.writelines(message)
-
-        except Exception as e:
-            self.handle_exceptions(e)
-
-    def get_image_path_from_url(self, url):
-        """Given a url to an image used by the client, returns the absolute file path to that image"""
-        try:
-            if "init-images" in url:
-                return os.path.abspath(os.path.join(self.init_image_path, os.path.basename(url)))
-            elif "mask-images" in url:
-                return os.path.abspath(os.path.join(self.mask_image_path, os.path.basename(url)))
-            elif "intermediates" in url:
-                return os.path.abspath(os.path.join(self.intermediate_path, os.path.basename(url)))
-            elif "temp-images" in url:
-                return os.path.abspath(os.path.join(self.temp_image_path, os.path.basename(url)))
-            elif "thumbnails" in url:
-                return os.path.abspath(os.path.join(self.thumbnail_image_path, os.path.basename(url)))
-            else:
-                return os.path.abspath(os.path.join(self.result_path, os.path.basename(url)))
-        except Exception as e:
-            self.handle_exceptions(e)
-
-    def get_url_from_image_path(self, path):
-        """Given an absolute file path to an image, returns the URL that the client can use to load the image"""
-        try:
-            if "init-images" in path:
-                return os.path.join(self.init_image_url, os.path.basename(path))
-            elif "mask-images" in path:
-                return os.path.join(self.mask_image_url, os.path.basename(path))
-            elif "intermediates" in path:
-                return os.path.join(self.intermediate_url, os.path.basename(path))
-            elif "temp-images" in path:
-                return os.path.join(self.temp_image_url, os.path.basename(path))
-            elif "thumbnails" in path:
-                return os.path.join(self.thumbnail_image_url, os.path.basename(path))
-            else:
-                return os.path.join(self.result_url, os.path.basename(path))
-        except Exception as e:
-            self.handle_exceptions(e)
-
-    def save_file_unique_uuid_name(self, bytes, name, path):
-        try:
-            uuid = uuid4().hex
-            truncated_uuid = uuid[:8]
-
-            split = os.path.splitext(name)
-            name = f"{split[0]}.{truncated_uuid}{split[1]}"
-
-            file_path = os.path.join(path, name)
-
-            os.makedirs(os.path.dirname(file_path), exist_ok=True)
-
-            newFile = open(file_path, "wb")
-            newFile.write(bytes)
-
-            return file_path
-        except Exception as e:
-            self.handle_exceptions(e)
-
-    def handle_exceptions(self, exception, emit_key: str = "error"):
-        self.socketio.emit(emit_key, {"message": (str(exception))})
-        print("\n")
-        traceback.print_exc()
-        print("\n")
-
-
-class Progress:
-    def __init__(self, generation_parameters=None):
-        self.current_step = 1
-        self.total_steps = (
-            self._calculate_real_steps(
-                steps=generation_parameters["steps"],
-                strength=generation_parameters["strength"] if "strength" in generation_parameters else None,
-                has_init_image="init_img" in generation_parameters,
-            )
-            if generation_parameters
-            else 1
-        )
-        self.current_iteration = 1
-        self.total_iterations = generation_parameters["iterations"] if generation_parameters else 1
-        self.current_status = "common.statusPreparing"
-        self.is_processing = True
-        self.current_status_has_steps = False
-        self.has_error = False
-
-    def set_current_step(self, current_step):
-        self.current_step = current_step
-
-    def set_total_steps(self, total_steps):
-        self.total_steps = total_steps
-
-    def set_current_iteration(self, current_iteration):
-        self.current_iteration = current_iteration
-
-    def set_total_iterations(self, total_iterations):
-        self.total_iterations = total_iterations
-
-    def set_current_status(self, current_status):
-        self.current_status = current_status
-
-    def set_is_processing(self, is_processing):
-        self.is_processing = is_processing
-
-    def set_current_status_has_steps(self, current_status_has_steps):
-        self.current_status_has_steps = current_status_has_steps
-
-    def set_has_error(self, has_error):
-        self.has_error = has_error
-
-    def mark_complete(self):
-        self.current_status = "common.statusProcessingComplete"
-        self.current_step = 0
-        self.total_steps = 0
-        self.current_iteration = 0
-        self.total_iterations = 0
-        self.is_processing = False
-
-    def to_formatted_dict(
-        self,
-    ):
-        return {
-            "currentStep": self.current_step,
-            "totalSteps": self.total_steps,
-            "currentIteration": self.current_iteration,
-            "totalIterations": self.total_iterations,
-            "currentStatus": self.current_status,
-            "isProcessing": self.is_processing,
-            "currentStatusHasSteps": self.current_status_has_steps,
-            "hasError": self.has_error,
-        }
-
-    def _calculate_real_steps(self, steps, strength, has_init_image):
-        return math.floor(strength * steps) if has_init_image else steps
-
-
-class CanceledException(Exception):
-    pass
-
-
-def copy_image_from_bounding_box(image: ImageType, x: int, y: int, width: int, height: int) -> ImageType:
-    """
-    Returns a copy an image, cropped to a bounding box.
-    """
-    with image as im:
-        bounds = (x, y, x + width, y + height)
-        im_cropped = im.crop(bounds)
-        return im_cropped
-
-
-def dataURL_to_image(dataURL: str) -> ImageType:
-    """
-    Converts a base64 image dataURL into an image.
-    The dataURL is split on the first comma.
-    """
-    image = Image.open(
-        io.BytesIO(
-            base64.decodebytes(
-                bytes(
-                    dataURL.split(",", 1)[1],
-                    "utf-8",
-                )
-            )
-        )
-    )
-    return image
-
-
-def image_to_dataURL(image: ImageType, image_format: str = "PNG") -> str:
-    """
-    Converts an image into a base64 image dataURL.
-    """
-    buffered = io.BytesIO()
-    image.save(buffered, format=image_format)
-    mime_type = Image.MIME.get(image_format.upper(), "image/" + image_format.lower())
-    image_base64 = f"data:{mime_type};base64," + base64.b64encode(buffered.getvalue()).decode("UTF-8")
-    return image_base64
-
-
-def dataURL_to_bytes(dataURL: str) -> bytes:
-    """
-    Converts a base64 image dataURL into bytes.
-    The dataURL is split on the first comma.
-    """
-    return base64.decodebytes(
-        bytes(
-            dataURL.split(",", 1)[1],
-            "utf-8",
-        )
-    )
-
-
-def paste_image_into_bounding_box(
-    recipient_image: ImageType,
-    donor_image: ImageType,
-    x: int,
-    y: int,
-    width: int,
-    height: int,
-) -> ImageType:
-    """
-    Pastes an image onto another with a bounding box.
-    """
-    with recipient_image as im:
-        bounds = (x, y, x + width, y + height)
-        im.paste(donor_image, bounds)
-        return recipient_image
-
-
-def save_thumbnail(
-    image: ImageType,
-    filename: str,
-    path: str,
-    size: int = 256,
-) -> str:
-    """
-    Saves a thumbnail of an image, returning its path.
-    """
-    base_filename = os.path.splitext(filename)[0]
-    thumbnail_path = os.path.join(path, base_filename + ".webp")
-
-    if os.path.exists(thumbnail_path):
-        return thumbnail_path
-
-    thumbnail_width = size
-    thumbnail_height = round(size * (image.height / image.width))
-
-    image_copy = image.copy()
-    image_copy.thumbnail(size=(thumbnail_width, thumbnail_height))
-
-    image_copy.save(thumbnail_path, "WEBP")
-
-    return thumbnail_path
diff --git a/invokeai/backend/web/modules/__init__.py b/invokeai/backend/web/modules/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/invokeai/backend/web/modules/create_cmd_parser.py b/invokeai/backend/web/modules/create_cmd_parser.py
deleted file mode 100644
index 856522989b..0000000000
--- a/invokeai/backend/web/modules/create_cmd_parser.py
+++ /dev/null
@@ -1,56 +0,0 @@
-import argparse
-import os
-
-from ...args import PRECISION_CHOICES
-
-
-def create_cmd_parser():
-    parser = argparse.ArgumentParser(description="InvokeAI web UI")
-    parser.add_argument(
-        "--host",
-        type=str,
-        help="The host to serve on",
-        default="localhost",
-    )
-    parser.add_argument("--port", type=int, help="The port to serve on", default=9090)
-    parser.add_argument(
-        "--cors",
-        nargs="*",
-        type=str,
-        help="Additional allowed origins, comma-separated",
-    )
-    parser.add_argument(
-        "--embedding_path",
-        type=str,
-        help="Path to a pre-trained embedding manager checkpoint - can only be set on command line",
-    )
-    # TODO: Can't get flask to serve images from any dir (saving to the dir does work when specified)
-    # parser.add_argument(
-    #     "--output_dir",
-    #     default="outputs/",
-    #     type=str,
-    #     help="Directory for output images",
-    # )
-    parser.add_argument(
-        "-v",
-        "--verbose",
-        action="store_true",
-        help="Enables verbose logging",
-    )
-    parser.add_argument(
-        "--precision",
-        dest="precision",
-        type=str,
-        choices=PRECISION_CHOICES,
-        metavar="PRECISION",
-        help=f'Set model precision. Defaults to auto selected based on device. Options: {", ".join(PRECISION_CHOICES)}',
-        default="auto",
-    )
-    parser.add_argument(
-        "--free_gpu_mem",
-        dest="free_gpu_mem",
-        action="store_true",
-        help="Force free gpu memory before final decoding",
-    )
-
-    return parser
diff --git a/invokeai/backend/web/modules/get_canvas_generation_mode.py b/invokeai/backend/web/modules/get_canvas_generation_mode.py
deleted file mode 100644
index 6d680016e7..0000000000
--- a/invokeai/backend/web/modules/get_canvas_generation_mode.py
+++ /dev/null
@@ -1,113 +0,0 @@
-from typing import Literal, Union
-
-from PIL import Image, ImageChops
-from PIL.Image import Image as ImageType
-
-
-# https://stackoverflow.com/questions/43864101/python-pil-check-if-image-is-transparent
-def check_for_any_transparency(img: Union[ImageType, str]) -> bool:
-    if type(img) is str:
-        img = Image.open(str)
-
-    if img.info.get("transparency", None) is not None:
-        return True
-    if img.mode == "P":
-        transparent = img.info.get("transparency", -1)
-        for _, index in img.getcolors():
-            if index == transparent:
-                return True
-    elif img.mode == "RGBA":
-        extrema = img.getextrema()
-        if extrema[3][0] < 255:
-            return True
-    return False
-
-
-def get_canvas_generation_mode(
-    init_img: Union[ImageType, str], init_mask: Union[ImageType, str]
-) -> Literal["txt2img", "outpainting", "inpainting", "img2img",]:
-    if type(init_img) is str:
-        init_img = Image.open(init_img)
-
-    if type(init_mask) is str:
-        init_mask = Image.open(init_mask)
-
-    init_img = init_img.convert("RGBA")
-
-    # Get alpha from init_img
-    init_img_alpha = init_img.split()[-1]
-    init_img_alpha_mask = init_img_alpha.convert("L")
-    init_img_has_transparency = check_for_any_transparency(init_img)
-
-    if init_img_has_transparency:
-        init_img_is_fully_transparent = True if init_img_alpha_mask.getbbox() is None else False
-
-    """
-    Mask images are white in areas where no change should be made, black where changes
-    should be made.
-    """
-
-    # Fit the mask to init_img's size and convert it to greyscale
-    init_mask = init_mask.resize(init_img.size).convert("L")
-
-    """
-    PIL.Image.getbbox() returns the bounding box of non-zero areas of the image, so we first
-    invert the mask image so that masked areas are white and other areas black == zero.
-    getbbox() now tells us if the are any masked areas.
-    """
-    init_mask_bbox = ImageChops.invert(init_mask).getbbox()
-    init_mask_exists = False if init_mask_bbox is None else True
-
-    if init_img_has_transparency:
-        if init_img_is_fully_transparent:
-            return "txt2img"
-        else:
-            return "outpainting"
-    else:
-        if init_mask_exists:
-            return "inpainting"
-        else:
-            return "img2img"
-
-
-def main():
-    # Testing
-    init_img_opaque = "test_images/init-img_opaque.png"
-    init_img_partial_transparency = "test_images/init-img_partial_transparency.png"
-    init_img_full_transparency = "test_images/init-img_full_transparency.png"
-    init_mask_no_mask = "test_images/init-mask_no_mask.png"
-    init_mask_has_mask = "test_images/init-mask_has_mask.png"
-
-    print(
-        "OPAQUE IMAGE, NO MASK, expect img2img, got ",
-        get_canvas_generation_mode(init_img_opaque, init_mask_no_mask),
-    )
-
-    print(
-        "IMAGE WITH TRANSPARENCY, NO MASK, expect outpainting, got ",
-        get_canvas_generation_mode(init_img_partial_transparency, init_mask_no_mask),
-    )
-
-    print(
-        "FULLY TRANSPARENT IMAGE NO MASK, expect txt2img, got ",
-        get_canvas_generation_mode(init_img_full_transparency, init_mask_no_mask),
-    )
-
-    print(
-        "OPAQUE IMAGE, WITH MASK, expect inpainting, got ",
-        get_canvas_generation_mode(init_img_opaque, init_mask_has_mask),
-    )
-
-    print(
-        "IMAGE WITH TRANSPARENCY, WITH MASK, expect outpainting, got ",
-        get_canvas_generation_mode(init_img_partial_transparency, init_mask_has_mask),
-    )
-
-    print(
-        "FULLY TRANSPARENT IMAGE WITH MASK, expect txt2img, got ",
-        get_canvas_generation_mode(init_img_full_transparency, init_mask_has_mask),
-    )
-
-
-if __name__ == "__main__":
-    main()
diff --git a/invokeai/backend/web/modules/parameters.py b/invokeai/backend/web/modules/parameters.py
deleted file mode 100644
index 8ab74adb92..0000000000
--- a/invokeai/backend/web/modules/parameters.py
+++ /dev/null
@@ -1,82 +0,0 @@
-import argparse
-
-from .parse_seed_weights import parse_seed_weights
-
-SAMPLER_CHOICES = [
-    "ddim",
-    "ddpm",
-    "deis",
-    "lms",
-    "lms_k",
-    "pndm",
-    "heun",
-    "heun_k",
-    "euler",
-    "euler_k",
-    "euler_a",
-    "kdpm_2",
-    "kdpm_2_a",
-    "dpmpp_2s",
-    "dpmpp_2s_k",
-    "dpmpp_2m",
-    "dpmpp_2m_k",
-    "dpmpp_2m_sde",
-    "dpmpp_2m_sde_k",
-    "dpmpp_sde",
-    "dpmpp_sde_k",
-    "unipc",
-]
-
-
-def parameters_to_command(params):
-    """
-    Converts dict of parameters into a `invoke.py` REPL command.
-    """
-
-    switches = list()
-
-    if "prompt" in params:
-        switches.append(f'"{params["prompt"]}"')
-    if "steps" in params:
-        switches.append(f'-s {params["steps"]}')
-    if "seed" in params:
-        switches.append(f'-S {params["seed"]}')
-    if "width" in params:
-        switches.append(f'-W {params["width"]}')
-    if "height" in params:
-        switches.append(f'-H {params["height"]}')
-    if "cfg_scale" in params:
-        switches.append(f'-C {params["cfg_scale"]}')
-    if "sampler_name" in params:
-        switches.append(f'-A {params["sampler_name"]}')
-    if "seamless" in params and params["seamless"] == True:
-        switches.append(f"--seamless")
-    if "hires_fix" in params and params["hires_fix"] == True:
-        switches.append(f"--hires")
-    if "init_img" in params and len(params["init_img"]) > 0:
-        switches.append(f'-I {params["init_img"]}')
-    if "init_mask" in params and len(params["init_mask"]) > 0:
-        switches.append(f'-M {params["init_mask"]}')
-    if "init_color" in params and len(params["init_color"]) > 0:
-        switches.append(f'--init_color {params["init_color"]}')
-    if "strength" in params and "init_img" in params:
-        switches.append(f'-f {params["strength"]}')
-        if "fit" in params and params["fit"] == True:
-            switches.append(f"--fit")
-    if "facetool" in params:
-        switches.append(f'-ft {params["facetool"]}')
-    if "facetool_strength" in params and params["facetool_strength"]:
-        switches.append(f'-G {params["facetool_strength"]}')
-    elif "gfpgan_strength" in params and params["gfpgan_strength"]:
-        switches.append(f'-G {params["gfpgan_strength"]}')
-    if "codeformer_fidelity" in params:
-        switches.append(f'-cf {params["codeformer_fidelity"]}')
-    if "upscale" in params and params["upscale"]:
-        switches.append(f'-U {params["upscale"][0]} {params["upscale"][1]}')
-    if "variation_amount" in params and params["variation_amount"] > 0:
-        switches.append(f'-v {params["variation_amount"]}')
-        if "with_variations" in params:
-            seed_weight_pairs = ",".join(f"{seed}:{weight}" for seed, weight in params["with_variations"])
-            switches.append(f"-V {seed_weight_pairs}")
-
-    return " ".join(switches)
diff --git a/invokeai/backend/web/modules/parse_seed_weights.py b/invokeai/backend/web/modules/parse_seed_weights.py
deleted file mode 100644
index 7e15d4e166..0000000000
--- a/invokeai/backend/web/modules/parse_seed_weights.py
+++ /dev/null
@@ -1,47 +0,0 @@
-def parse_seed_weights(seed_weights):
-    """
-    Accepts seed weights as string in "12345:0.1,23456:0.2,3456:0.3" format
-    Validates them
-    If valid: returns as [[12345, 0.1], [23456, 0.2], [3456, 0.3]]
-    If invalid: returns False
-    """
-
-    # Must be a string
-    if not isinstance(seed_weights, str):
-        return False
-    # String must not be empty
-    if len(seed_weights) == 0:
-        return False
-
-    pairs = []
-
-    for pair in seed_weights.split(","):
-        split_values = pair.split(":")
-
-        # Seed and weight are required
-        if len(split_values) != 2:
-            return False
-
-        if len(split_values[0]) == 0 or len(split_values[1]) == 1:
-            return False
-
-        # Try casting the seed to int and weight to float
-        try:
-            seed = int(split_values[0])
-            weight = float(split_values[1])
-        except ValueError:
-            return False
-
-        # Seed must be 0 or above
-        if not seed >= 0:
-            return False
-
-        # Weight must be between 0 and 1
-        if not (weight >= 0 and weight <= 1):
-            return False
-
-        # This pair is valid
-        pairs.append([seed, weight])
-
-    # All pairs are valid
-    return pairs
diff --git a/invokeai/backend/web/modules/test_images/init-img_full_transparency.png b/invokeai/backend/web/modules/test_images/init-img_full_transparency.png
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diff --git a/invokeai/backend/web/modules/test_images/init-mask_no_mask.png b/invokeai/backend/web/modules/test_images/init-mask_no_mask.png
deleted file mode 100644
index 2aecd3ea7db2c6adc472e8a8483a8ee6025d89a2..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

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diff --git a/pyproject.toml b/pyproject.toml
index 6e5b754914..e13ae607b9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -45,15 +45,10 @@ dependencies = [
   "dynamicprompts",
   "easing-functions",
   "einops",
-  "eventlet",
   "facexlib",
   "fastapi==0.88.0",
   "fastapi-events==0.8.0",
   "fastapi-socketio==0.0.10",
-  "flask==2.1.3",
-  "flask_cors==3.0.10",
-  "flask_socketio==5.3.0",
-  "flaskwebgui==1.0.3",
   "huggingface-hub>=0.11.1",
   "invisible-watermark~=0.2.0", # needed to install SDXL base and refiner using their repo_ids
   "matplotlib",                 # needed for plotting of Penner easing functions

From 141d438517c1391a7628d0724ad60b3b64c06c56 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 14 Aug 2023 12:35:40 -0400
Subject: [PATCH 221/287] prevent windows from crashing with a WindowsPath
 serialization error on merge

---
 invokeai/backend/model_management/model_merge.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/backend/model_management/model_merge.py b/invokeai/backend/model_management/model_merge.py
index 74419a4433..120379c45a 100644
--- a/invokeai/backend/model_management/model_merge.py
+++ b/invokeai/backend/model_management/model_merge.py
@@ -120,11 +120,11 @@ class ModelMerger(object):
             else config.models_path / base_model.value / ModelType.Main.value
         )
         dump_path.mkdir(parents=True, exist_ok=True)
-        dump_path = dump_path / merged_model_name
+        dump_path = str(dump_path / merged_model_name)
 
         merged_pipe.save_pretrained(dump_path, safe_serialization=True)
         attributes = dict(
-            path=str(dump_path),
+            path=dump_path,
             description=f"Merge of models {', '.join(model_names)}",
             model_format="diffusers",
             variant=ModelVariantType.Normal.value,

From 5190a4c28208995e2cd8bc986012d6c80e9f1a2f Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 14 Aug 2023 14:43:08 -0400
Subject: [PATCH 222/287] further removal of Paths

---
 invokeai/app/api/routers/models.py               | 3 +--
 invokeai/app/services/model_manager_service.py   | 2 +-
 invokeai/backend/model_management/model_merge.py | 4 ++--
 3 files changed, 4 insertions(+), 5 deletions(-)

diff --git a/invokeai/app/api/routers/models.py b/invokeai/app/api/routers/models.py
index b6c1edbbe1..428f672618 100644
--- a/invokeai/app/api/routers/models.py
+++ b/invokeai/app/api/routers/models.py
@@ -267,12 +267,11 @@ async def convert_model(
     logger = ApiDependencies.invoker.services.logger
     try:
         logger.info(f"Converting model: {model_name}")
-        dest = pathlib.Path(convert_dest_directory) if convert_dest_directory else None
         ApiDependencies.invoker.services.model_manager.convert_model(
             model_name,
             base_model=base_model,
             model_type=model_type,
-            convert_dest_directory=dest,
+            convert_dest_directory=convert_dest_directory,
         )
         model_raw = ApiDependencies.invoker.services.model_manager.list_model(
             model_name, base_model=base_model, model_type=model_type
diff --git a/invokeai/app/services/model_manager_service.py b/invokeai/app/services/model_manager_service.py
index fd14e26364..973ff9f02b 100644
--- a/invokeai/app/services/model_manager_service.py
+++ b/invokeai/app/services/model_manager_service.py
@@ -577,7 +577,7 @@ class ModelManagerService(ModelManagerServiceBase):
         alpha: float = 0.5,
         interp: Optional[MergeInterpolationMethod] = None,
         force: bool = False,
-        merge_dest_directory: Optional[Path] = Field(
+        merge_dest_directory: Optional[str] = Field(
             default=None, description="Optional directory location for merged model"
         ),
     ) -> AddModelResult:
diff --git a/invokeai/backend/model_management/model_merge.py b/invokeai/backend/model_management/model_merge.py
index 120379c45a..6e7304a09e 100644
--- a/invokeai/backend/model_management/model_merge.py
+++ b/invokeai/backend/model_management/model_merge.py
@@ -31,7 +31,7 @@ class ModelMerger(object):
 
     def merge_diffusion_models(
         self,
-        model_paths: List[Path],
+        model_paths: List[str],
         alpha: float = 0.5,
         interp: Optional[MergeInterpolationMethod] = None,
         force: bool = False,
@@ -75,7 +75,7 @@ class ModelMerger(object):
         alpha: float = 0.5,
         interp: Optional[MergeInterpolationMethod] = None,
         force: bool = False,
-        merge_dest_directory: Optional[Path] = None,
+        merge_dest_directory: Optional[str] = None,
         **kwargs,
     ) -> AddModelResult:
         """

From 02fa11669009fc9a623b7ad71a67a5a452931bae Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 14 Aug 2023 15:51:05 -0400
Subject: [PATCH 223/287] rebuild frontend for windows testing

---
 .../frontend/web/dist/assets/App-0a099278.js  | 169 ------------------
 .../frontend/web/dist/assets/App-7d912410.js  | 169 ++++++++++++++++++
 ...d08.js => ThemeLocaleProvider-bc3e6f20.js} |   2 +-
 .../web/dist/assets/index-2c171c8f.js         | 151 ++++++++++++++++
 .../web/dist/assets/index-deaa1f26.js         | 151 ----------------
 .../{menu-b4489359.js => menu-971c0572.js}    |   2 +-
 invokeai/frontend/web/dist/index.html         |   2 +-
 invokeai/frontend/web/dist/locales/en.json    |   3 +
 8 files changed, 326 insertions(+), 323 deletions(-)
 delete mode 100644 invokeai/frontend/web/dist/assets/App-0a099278.js
 create mode 100644 invokeai/frontend/web/dist/assets/App-7d912410.js
 rename invokeai/frontend/web/dist/assets/{ThemeLocaleProvider-1a474d08.js => ThemeLocaleProvider-bc3e6f20.js} (99%)
 create mode 100644 invokeai/frontend/web/dist/assets/index-2c171c8f.js
 delete mode 100644 invokeai/frontend/web/dist/assets/index-deaa1f26.js
 rename invokeai/frontend/web/dist/assets/{menu-b4489359.js => menu-971c0572.js} (99%)

diff --git a/invokeai/frontend/web/dist/assets/App-0a099278.js b/invokeai/frontend/web/dist/assets/App-0a099278.js
deleted file mode 100644
index 6ce732787f..0000000000
--- a/invokeai/frontend/web/dist/assets/App-0a099278.js
+++ /dev/null
@@ -1,169 +0,0 @@
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s={width:n.offsetWidth,height:n.offsetHeight};return r&&(this.parentNode.style.flexWrap=o),this.removeBase(n),s},t.prototype.bindEvents=function(){this.window&&(this.window.addEventListener("mouseup",this.onMouseUp),this.window.addEventListener("mousemove",this.onMouseMove),this.window.addEventListener("mouseleave",this.onMouseUp),this.window.addEventListener("touchmove",this.onMouseMove,{capture:!0,passive:!1}),this.window.addEventListener("touchend",this.onMouseUp))},t.prototype.unbindEvents=function(){this.window&&(this.window.removeEventListener("mouseup",this.onMouseUp),this.window.removeEventListener("mousemove",this.onMouseMove),this.window.removeEventListener("mouseleave",this.onMouseUp),this.window.removeEventListener("touchmove",this.onMouseMove,!0),this.window.removeEventListener("touchend",this.onMouseUp))},t.prototype.componentDidMount=function(){if(!(!this.resizable||!this.window)){var n=this.window.getComputedStyle(this.resizable);this.setState({width:this.state.width||this.size.width,height:this.state.height||this.size.height,flexBasis:n.flexBasis!=="auto"?n.flexBasis:void 0})}},t.prototype.componentWillUnmount=function(){this.window&&this.unbindEvents()},t.prototype.createSizeForCssProperty=function(n,r){var o=this.propsSize&&this.propsSize[r];return this.state[r]==="auto"&&this.state.original[r]===n&&(typeof o>"u"||o==="auto")?"auto":n},t.prototype.calculateNewMaxFromBoundary=function(n,r){var o=this.props.boundsByDirection,s=this.state.direction,a=o&&Ul("left",s),c=o&&Ul("top",s),d,p;if(this.props.bounds==="parent"){var h=this.parentNode;h&&(d=a?this.resizableRight-this.parentLeft:h.offsetWidth+(this.parentLeft-this.resizableLeft),p=c?this.resizableBottom-this.parentTop:h.offsetHeight+(this.parentTop-this.resizableTop))}else this.props.bounds==="window"?this.window&&(d=a?this.resizableRight:this.window.innerWidth-this.resizableLeft,p=c?this.resizableBottom:this.window.innerHeight-this.resizableTop):this.props.bounds&&(d=a?this.resizableRight-this.targetLeft:this.props.bounds.offsetWidth+(this.targetLeft-this.resizableLeft),p=c?this.resizableBottom-this.targetTop:this.props.bounds.offsetHeight+(this.targetTop-this.resizableTop));return d&&Number.isFinite(d)&&(n=n&&n<d?n:d),p&&Number.isFinite(p)&&(r=r&&r<p?r:p),{maxWidth:n,maxHeight:r}},t.prototype.calculateNewSizeFromDirection=function(n,r){var o=this.props.scale||1,s=this.props.resizeRatio||1,a=this.state,c=a.direction,d=a.original,p=this.props,h=p.lockAspectRatio,m=p.lockAspectRatioExtraHeight,v=p.lockAspectRatioExtraWidth,b=d.width,w=d.height,y=m||0,S=v||0;return Ul("right",c)&&(b=d.width+(n-d.x)*s/o,h&&(w=(b-S)/this.ratio+y)),Ul("left",c)&&(b=d.width-(n-d.x)*s/o,h&&(w=(b-S)/this.ratio+y)),Ul("bottom",c)&&(w=d.height+(r-d.y)*s/o,h&&(b=(w-y)*this.ratio+S)),Ul("top",c)&&(w=d.height-(r-d.y)*s/o,h&&(b=(w-y)*this.ratio+S)),{newWidth:b,newHeight:w}},t.prototype.calculateNewSizeFromAspectRatio=function(n,r,o,s){var a=this.props,c=a.lockAspectRatio,d=a.lockAspectRatioExtraHeight,p=a.lockAspectRatioExtraWidth,h=typeof s.width>"u"?10:s.width,m=typeof o.width>"u"||o.width<0?n:o.width,v=typeof s.height>"u"?10:s.height,b=typeof o.height>"u"||o.height<0?r:o.height,w=d||0,y=p||0;if(c){var S=(v-w)*this.ratio+y,k=(b-w)*this.ratio+y,_=(h-y)/this.ratio+w,P=(m-y)/this.ratio+w,I=Math.max(h,S),E=Math.min(m,k),O=Math.max(v,_),R=Math.min(b,P);n=up(n,I,E),r=up(r,O,R)}else n=up(n,h,m),r=up(r,v,b);return{newWidth:n,newHeight:r}},t.prototype.setBoundingClientRect=function(){if(this.props.bounds==="parent"){var n=this.parentNode;if(n){var r=n.getBoundingClientRect();this.parentLeft=r.left,this.parentTop=r.top}}if(this.props.bounds&&typeof this.props.bounds!="string"){var o=this.props.bounds.getBoundingClientRect();this.targetLeft=o.left,this.targetTop=o.top}if(this.resizable){var s=this.resizable.getBoundingClientRect(),a=s.left,c=s.top,d=s.right,p=s.bottom;this.resizableLeft=a,this.resizableRight=d,this.resizableTop=c,this.resizableBottom=p}},t.prototype.onResizeStart=function(n,r){if(!(!this.resizable||!this.window)){var o=0,s=0;if(n.nativeEvent&&pY(n.nativeEvent)?(o=n.nativeEvent.clientX,s=n.nativeEvent.clientY):n.nativeEvent&&dp(n.nativeEvent)&&(o=n.nativeEvent.touches[0].clientX,s=n.nativeEvent.touches[0].clientY),this.props.onResizeStart&&this.resizable){var a=this.props.onResizeStart(n,r,this.resizable);if(a===!1)return}this.props.size&&(typeof this.props.size.height<"u"&&this.props.size.height!==this.state.height&&this.setState({height:this.props.size.height}),typeof this.props.size.width<"u"&&this.props.size.width!==this.state.width&&this.setState({width:this.props.size.width})),this.ratio=typeof this.props.lockAspectRatio=="number"?this.props.lockAspectRatio:this.size.width/this.size.height;var c,d=this.window.getComputedStyle(this.resizable);if(d.flexBasis!=="auto"){var p=this.parentNode;if(p){var h=this.window.getComputedStyle(p).flexDirection;this.flexDir=h.startsWith("row")?"row":"column",c=d.flexBasis}}this.setBoundingClientRect(),this.bindEvents();var m={original:{x:o,y:s,width:this.size.width,height:this.size.height},isResizing:!0,backgroundStyle:qs(qs({},this.state.backgroundStyle),{cursor:this.window.getComputedStyle(n.target).cursor||"auto"}),direction:r,flexBasis:c};this.setState(m)}},t.prototype.onMouseMove=function(n){var r=this;if(!(!this.state.isResizing||!this.resizable||!this.window)){if(this.window.TouchEvent&&dp(n))try{n.preventDefault(),n.stopPropagation()}catch{}var o=this.props,s=o.maxWidth,a=o.maxHeight,c=o.minWidth,d=o.minHeight,p=dp(n)?n.touches[0].clientX:n.clientX,h=dp(n)?n.touches[0].clientY:n.clientY,m=this.state,v=m.direction,b=m.original,w=m.width,y=m.height,S=this.getParentSize(),k=hY(S,this.window.innerWidth,this.window.innerHeight,s,a,c,d);s=k.maxWidth,a=k.maxHeight,c=k.minWidth,d=k.minHeight;var _=this.calculateNewSizeFromDirection(p,h),P=_.newHeight,I=_.newWidth,E=this.calculateNewMaxFromBoundary(s,a);this.props.snap&&this.props.snap.x&&(I=M4(I,this.props.snap.x,this.props.snapGap)),this.props.snap&&this.props.snap.y&&(P=M4(P,this.props.snap.y,this.props.snapGap));var O=this.calculateNewSizeFromAspectRatio(I,P,{width:E.maxWidth,height:E.maxHeight},{width:c,height:d});if(I=O.newWidth,P=O.newHeight,this.props.grid){var R=R4(I,this.props.grid[0]),M=R4(P,this.props.grid[1]),D=this.props.snapGap||0;I=D===0||Math.abs(R-I)<=D?R:I,P=D===0||Math.abs(M-P)<=D?M:P}var A={width:I-b.width,height:P-b.height};if(w&&typeof w=="string"){if(w.endsWith("%")){var L=I/S.width*100;I=L+"%"}else if(w.endsWith("vw")){var Q=I/this.window.innerWidth*100;I=Q+"vw"}else if(w.endsWith("vh")){var F=I/this.window.innerHeight*100;I=F+"vh"}}if(y&&typeof y=="string"){if(y.endsWith("%")){var L=P/S.height*100;P=L+"%"}else if(y.endsWith("vw")){var Q=P/this.window.innerWidth*100;P=Q+"vw"}else if(y.endsWith("vh")){var F=P/this.window.innerHeight*100;P=F+"vh"}}var V={width:this.createSizeForCssProperty(I,"width"),height:this.createSizeForCssProperty(P,"height")};this.flexDir==="row"?V.flexBasis=V.width:this.flexDir==="column"&&(V.flexBasis=V.height),_i.flushSync(function(){r.setState(V)}),this.props.onResize&&this.props.onResize(n,v,this.resizable,A)}},t.prototype.onMouseUp=function(n){var r=this.state,o=r.isResizing,s=r.direction,a=r.original;if(!(!o||!this.resizable)){var c={width:this.size.width-a.width,height:this.size.height-a.height};this.props.onResizeStop&&this.props.onResizeStop(n,s,this.resizable,c),this.props.size&&this.setState(this.props.size),this.unbindEvents(),this.setState({isResizing:!1,backgroundStyle:qs(qs({},this.state.backgroundStyle),{cursor:"auto"})})}},t.prototype.updateSize=function(n){this.setState({width:n.width,height:n.height})},t.prototype.renderResizer=function(){var n=this,r=this.props,o=r.enable,s=r.handleStyles,a=r.handleClasses,c=r.handleWrapperStyle,d=r.handleWrapperClass,p=r.handleComponent;if(!o)return null;var h=Object.keys(o).map(function(m){return o[m]!==!1?f.createElement(uY,{key:m,direction:m,onResizeStart:n.onResizeStart,replaceStyles:s&&s[m],className:a&&a[m]},p&&p[m]?p[m]:null):null});return f.createElement("div",{className:d,style:c},h)},t.prototype.render=function(){var n=this,r=Object.keys(this.props).reduce(function(a,c){return mY.indexOf(c)!==-1||(a[c]=n.props[c]),a},{}),o=qs(qs(qs({position:"relative",userSelect:this.state.isResizing?"none":"auto"},this.props.style),this.sizeStyle),{maxWidth:this.props.maxWidth,maxHeight:this.props.maxHeight,minWidth:this.props.minWidth,minHeight:this.props.minHeight,boxSizing:"border-box",flexShrink:0});this.state.flexBasis&&(o.flexBasis=this.state.flexBasis);var s=this.props.as||"div";return f.createElement(s,qs({ref:this.ref,style:o,className:this.props.className},r),this.state.isResizing&&f.createElement("div",{style:this.state.backgroundStyle}),this.props.children,this.renderResizer())},t.defaultProps={as:"div",onResizeStart:function(){},onResize:function(){},onResizeStop:function(){},enable:{top:!0,right:!0,bottom:!0,left:!0,topRight:!0,bottomRight:!0,bottomLeft:!0,topLeft:!0},style:{},grid:[1,1],lockAspectRatio:!1,lockAspectRatioExtraWidth:0,lockAspectRatioExtraHeight:0,scale:1,resizeRatio:1,snapGap:0},t}(f.PureComponent);const vY=({direction:e,langDirection:t})=>({top:e==="bottom",right:t!=="rtl"&&e==="left"||t==="rtl"&&e==="right",bottom:e==="top",left:t!=="rtl"&&e==="right"||t==="rtl"&&e==="left"}),bY=({direction:e,minWidth:t,maxWidth:n,minHeight:r,maxHeight:o})=>{const s=t??(["left","right"].includes(e)?10:void 0),a=n??(["left","right"].includes(e)?"95vw":void 0),c=r??(["top","bottom"].includes(e)?10:void 0),d=o??(["top","bottom"].includes(e)?"95vh":void 0);return{...s?{minWidth:s}:{},...a?{maxWidth:a}:{},...c?{minHeight:c}:{},...d?{maxHeight:d}:{}}},ba="0.75rem",pp="1rem",wu="5px",yY=({isResizable:e,direction:t})=>{const n=`calc((2 * ${ba} + ${wu}) / -2)`;return 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Xe=Ce[He],jt=Xe[0],Et=Xe[1];if(ft.overrideExisting||!(jt in ut.endpointDefinitions)){ut.endpointDefinitions[jt]=Et;for(var Nt=0,qt=Ht;Nt<qt.length;Nt++)qt[Nt].injectEndpoint(jt,Et)}}return ot},enhanceEndpoints:function(ft){var xt=ft.addTagTypes,He=ft.endpoints;if(xt)for(var Ce=0,Xe=xt;Ce<Xe.length;Ce++){var jt=Xe[Ce];me.tagTypes.includes(jt)||me.tagTypes.push(jt)}if(He)for(var Et=0,Nt=Object.entries(He);Et<Nt.length;Et++){var qt=Nt[Et],tn=qt[0],en=qt[1];typeof en=="function"?en(ut.endpointDefinitions[tn]):Object.assign(ut.endpointDefinitions[tn]||{},en)}return ot}},Ht=J.map(function(ft){return ft.init(ot,me,ut)});return ot.injectEndpoints({endpoints:he.endpoints})}}function dt(){return function(){throw new Error("When using `fakeBaseQuery`, all queries & mutations must use the `queryFn` definition syntax.")}}var zt,cr=I(Lo),pn=function(J){var ee=J.reducerPath,he=J.api,_e=J.context,me=J.internalState,ut=he.internalActions,ot=ut.removeQueryResult,Ht=ut.unsubscribeQueryResult;function ft(Ce){var Xe=me.currentSubscriptions[Ce];return!!Xe&&!function(jt){for(var Et in jt)return!1;return!0}(Xe)}var xt={};function He(Ce,Xe,jt,Et){var Nt,qt=_e.endpointDefinitions[Xe],tn=(Nt=qt==null?void 0:qt.keepUnusedDataFor)!=null?Nt:Et.keepUnusedDataFor;if(tn!==1/0){var en=Math.max(0,Math.min(tn,2147482647e-3));if(!ft(Ce)){var Ut=xt[Ce];Ut&&clearTimeout(Ut),xt[Ce]=setTimeout(function(){ft(Ce)||jt.dispatch(ot({queryCacheKey:Ce})),delete xt[Ce]},1e3*en)}}}return function(Ce,Xe,jt){var Et;if(Ht.match(Ce)){var Nt=Xe.getState()[ee];He(jn=Ce.payload.queryCacheKey,(Et=Nt.queries[jn])==null?void 0:Et.endpointName,Xe,Nt.config)}if(he.util.resetApiState.match(Ce))for(var qt=0,tn=Object.entries(xt);qt<tn.length;qt++){var en=tn[qt],Ut=en[0],Be=en[1];Be&&clearTimeout(Be),delete xt[Ut]}if(_e.hasRehydrationInfo(Ce)){Nt=Xe.getState()[ee];for(var yt=_e.extractRehydrationInfo(Ce).queries,Mt=0,Wt=Object.entries(yt);Mt<Wt.length;Mt++){var jn,Gt=Wt[Mt],un=Gt[1];He(jn=Gt[0],un==null?void 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jt=Ce.queryCacheKey,Et=Xe.getState()[ee].queries[jt];if(Et&&Et.status!==t.uninitialized){var Nt=He(ut.currentSubscriptions[jt]);if(Number.isFinite(Nt)){var qt=ot[jt];qt!=null&&qt.timeout&&(clearTimeout(qt.timeout),qt.timeout=void 0);var tn=Date.now()+Nt,en=ot[jt]={nextPollTimestamp:tn,pollingInterval:Nt,timeout:setTimeout(function(){en.timeout=void 0,Xe.dispatch(me(Et,jt))},Nt)}}}}function ft(Ce,Xe){var jt=Ce.queryCacheKey,Et=Xe.getState()[ee].queries[jt];if(Et&&Et.status!==t.uninitialized){var Nt=He(ut.currentSubscriptions[jt]);if(Number.isFinite(Nt)){var qt=ot[jt],tn=Date.now()+Nt;(!qt||tn<qt.nextPollTimestamp)&&Ht({queryCacheKey:jt},Xe)}else xt(jt)}}function xt(Ce){var Xe=ot[Ce];Xe!=null&&Xe.timeout&&clearTimeout(Xe.timeout),delete ot[Ce]}function He(Ce){Ce===void 0&&(Ce={});var Xe=Number.POSITIVE_INFINITY;for(var jt in Ce)Ce[jt].pollingInterval&&(Xe=Math.min(Ce[jt].pollingInterval,Xe));return Xe}return function(Ce,Xe){(_e.internalActions.updateSubscriptionOptions.match(Ce)||_e.internalActions.unsubscribeQueryResult.match(Ce))&&ft(Ce.payload,Xe),(he.pending.match(Ce)||he.rejected.match(Ce)&&Ce.meta.condition)&&ft(Ce.meta.arg,Xe),(he.fulfilled.match(Ce)||he.rejected.match(Ce)&&!Ce.meta.condition)&&Ht(Ce.meta.arg,Xe),_e.util.resetApiState.match(Ce)&&function(){for(var jt=0,Et=Object.keys(ot);jt<Et.length;jt++)xt(Et[jt])}()}},Fn=I(Lo),Hn=new Error("Promise never resolved before cacheEntryRemoved."),Wn=function(J){var ee=J.api,he=J.reducerPath,_e=J.context,me=J.queryThunk,ut=J.mutationThunk,ot=(0,Fn.isAsyncThunkAction)(me),Ht=(0,Fn.isAsyncThunkAction)(ut),ft=(0,Fn.isFulfilled)(me,ut),xt={};function He(Ce,Xe,jt,Et,Nt){var qt=_e.endpointDefinitions[Ce],tn=qt==null?void 0:qt.onCacheEntryAdded;if(tn){var en={},Ut=new Promise(function(Gt){en.cacheEntryRemoved=Gt}),Be=Promise.race([new Promise(function(Gt){en.valueResolved=Gt}),Ut.then(function(){throw Hn})]);Be.catch(function(){}),xt[jt]=en;var yt=ee.endpoints[Ce].select(qt.type===U.query?Xe:jt),Mt=Et.dispatch(function(Gt,un,sn){return sn}),Wt=k(S({},Et),{getCacheEntry:function(){return yt(Et.getState())},requestId:Nt,extra:Mt,updateCachedData:qt.type===U.query?function(Gt){return Et.dispatch(ee.util.updateQueryData(Ce,Xe,Gt))}:void 0,cacheDataLoaded:Be,cacheEntryRemoved:Ut}),jn=tn(Xe,Wt);Promise.resolve(jn).catch(function(Gt){if(Gt!==Hn)throw Gt})}}return function(Ce,Xe,jt){var Et=function(yt){return ot(yt)?yt.meta.arg.queryCacheKey:Ht(yt)?yt.meta.requestId:ee.internalActions.removeQueryResult.match(yt)?yt.payload.queryCacheKey:ee.internalActions.removeMutationResult.match(yt)?Se(yt.payload):""}(Ce);if(me.pending.match(Ce)){var Nt=jt[he].queries[Et],qt=Xe.getState()[he].queries[Et];!Nt&&qt&&He(Ce.meta.arg.endpointName,Ce.meta.arg.originalArgs,Et,Xe,Ce.meta.requestId)}else if(ut.pending.match(Ce))(qt=Xe.getState()[he].mutations[Et])&&He(Ce.meta.arg.endpointName,Ce.meta.arg.originalArgs,Et,Xe,Ce.meta.requestId);else if(ft(Ce))(Be=xt[Et])!=null&&Be.valueResolved&&(Be.valueResolved({data:Ce.payload,meta:Ce.meta.baseQueryMeta}),delete Be.valueResolved);else if(ee.internalActions.removeQueryResult.match(Ce)||ee.internalActions.removeMutationResult.match(Ce))(Be=xt[Et])&&(delete xt[Et],Be.cacheEntryRemoved());else if(ee.util.resetApiState.match(Ce))for(var tn=0,en=Object.entries(xt);tn<en.length;tn++){var Ut=en[tn],Be=Ut[1];delete xt[Ut[0]],Be.cacheEntryRemoved()}}},Nr=I(Lo),Do=function(J){var ee=J.api,he=J.context,_e=J.queryThunk,me=J.mutationThunk,ut=(0,Nr.isPending)(_e,me),ot=(0,Nr.isRejected)(_e,me),Ht=(0,Nr.isFulfilled)(_e,me),ft={};return function(xt,He){var Ce,Xe,jt;if(ut(xt)){var Et=xt.meta,Nt=Et.requestId,qt=Et.arg,tn=qt.endpointName,en=qt.originalArgs,Ut=he.endpointDefinitions[tn],Be=Ut==null?void 0:Ut.onQueryStarted;if(Be){var yt={},Mt=new Promise(function(Jn,It){yt.resolve=Jn,yt.reject=It});Mt.catch(function(){}),ft[Nt]=yt;var Wt=ee.endpoints[tn].select(Ut.type===U.query?en:Nt),jn=He.dispatch(function(Jn,It,In){return In}),Gt=k(S({},He),{getCacheEntry:function(){return Wt(He.getState())},requestId:Nt,extra:jn,updateCachedData:Ut.type===U.query?function(Jn){return He.dispatch(ee.util.updateQueryData(tn,en,Jn))}:void 0,queryFulfilled:Mt});Be(en,Gt)}}else if(Ht(xt)){var un=xt.meta,sn=un.baseQueryMeta;(Ce=ft[Nt=un.requestId])==null||Ce.resolve({data:xt.payload,meta:sn}),delete ft[Nt]}else if(ot(xt)){var Or=xt.meta;sn=Or.baseQueryMeta,(jt=ft[Nt=Or.requestId])==null||jt.reject({error:(Xe=xt.payload)!=null?Xe:xt.error,isUnhandledError:!Or.rejectedWithValue,meta:sn}),delete ft[Nt]}}},Wr=function(J){var ee=J.api,he=J.context.apiUid;return function(_e,me){ee.util.resetApiState.match(_e)&&me.dispatch(ee.internalActions.middlewareRegistered(he))}},Vr=I(Su),ds=typeof queueMicrotask=="function"?queueMicrotask.bind(typeof window<"u"?window:typeof Al<"u"?Al:globalThis):function(J){return(zt||(zt=Promise.resolve())).then(J).catch(function(ee){return setTimeout(function(){throw ee},0)})};function $r(J){for(var ee=[],he=1;he<arguments.length;he++)ee[he-1]=arguments[he];Object.assign.apply(Object,o([J],ee))}var $s=I(Su),fs=Symbol(),da=function(){return{name:fs,init:function(J,ee,he){var _e=ee.baseQuery,me=ee.reducerPath,ut=ee.serializeQueryArgs,ot=ee.keepUnusedDataFor,Ht=ee.refetchOnMountOrArgChange,ft=ee.refetchOnFocus,xt=ee.refetchOnReconnect;(0,$s.enablePatches)();var He=function(It){return It};Object.assign(J,{reducerPath:me,endpoints:{},internalActions:{onOnline:fe,onOffline:ie,onFocus:Y,onFocusLost:ae},util:{}});var Ce=function(It){var In=this,Rn=It.reducerPath,Zn=It.baseQuery,mr=It.context.endpointDefinitions,Tn=It.serializeQueryArgs,Nn=It.api,dn=function(qe,Ot){return E(In,[qe,Ot],function(St,st){var wt,Bt,mt,rt,Oe,Ie,De,We,Ze,Dt,Rt,Ve,nn,xn=st.signal,hn=st.abort,gr=st.rejectWithValue,Xn=st.fulfillWithValue,gn=st.dispatch,Vn=st.getState,ao=st.extra;return r(this,function(fn){switch(fn.label){case 0:wt=mr[St.endpointName],fn.label=1;case 1:return fn.trys.push([1,8,,13]),Bt=kt,mt=void 0,rt={signal:xn,abort:hn,dispatch:gn,getState:Vn,extra:ao,endpoint:St.endpointName,type:St.type,forced:St.type==="query"?Sn(St,Vn()):void 0},(Oe=St.type==="query"?St[xe]:void 0)?(mt=Oe(),[3,6]):[3,2];case 2:return wt.query?[4,Zn(wt.query(St.originalArgs),rt,wt.extraOptions)]:[3,4];case 3:return mt=fn.sent(),wt.transformResponse&&(Bt=wt.transformResponse),[3,6];case 4:return[4,wt.queryFn(St.originalArgs,rt,wt.extraOptions,function($n){return Zn($n,rt,wt.extraOptions)})];case 5:mt=fn.sent(),fn.label=6;case 6:if(mt.error)throw new q(mt.error,mt.meta);return Ie=Xn,[4,Bt(mt.data,mt.meta,St.originalArgs)];case 7:return[2,Ie.apply(void 0,[fn.sent(),(Ve={fulfilledTimeStamp:Date.now(),baseQueryMeta:mt.meta},Ve[$e.SHOULD_AUTOBATCH]=!0,Ve)])];case 8:if(De=fn.sent(),!((We=De)instanceof q))return[3,12];Ze=kt,wt.query&&wt.transformErrorResponse&&(Ze=wt.transformErrorResponse),fn.label=9;case 9:return fn.trys.push([9,11,,12]),Dt=gr,[4,Ze(We.value,We.meta,St.originalArgs)];case 10:return[2,Dt.apply(void 0,[fn.sent(),(nn={baseQueryMeta:We.meta},nn[$e.SHOULD_AUTOBATCH]=!0,nn)])];case 11:return Rt=fn.sent(),We=Rt,[3,12];case 12:throw console.error(We),We;case 13:return[2]}})})};function Sn(qe,Ot){var St,st,wt,Bt,mt=(st=(St=Ot[Rn])==null?void 0:St.queries)==null?void 0:st[qe.queryCacheKey],rt=(wt=Ot[Rn])==null?void 0:wt.config.refetchOnMountOrArgChange,Oe=mt==null?void 0:mt.fulfilledTimeStamp,Ie=(Bt=qe.forceRefetch)!=null?Bt:qe.subscribe&&rt;return!!Ie&&(Ie===!0||(Number(new Date)-Number(Oe))/1e3>=Ie)}var En=(0,$e.createAsyncThunk)(Rn+"/executeQuery",dn,{getPendingMeta:function(){var qe;return(qe={startedTimeStamp:Date.now()})[$e.SHOULD_AUTOBATCH]=!0,qe},condition:function(qe,Ot){var St,st,wt,Bt=(0,Ot.getState)(),mt=(st=(St=Bt[Rn])==null?void 0:St.queries)==null?void 0:st[qe.queryCacheKey],rt=mt==null?void 0:mt.fulfilledTimeStamp,Oe=qe.originalArgs,Ie=mt==null?void 0:mt.originalArgs,De=mr[qe.endpointName];return!(!de(qe)&&((mt==null?void 0:mt.status)==="pending"||!Sn(qe,Bt)&&(!oe(De)||!((wt=De==null?void 0:De.forceRefetch)!=null&&wt.call(De,{currentArg:Oe,previousArg:Ie,endpointState:mt,state:Bt})))&&rt))},dispatchConditionRejection:!0}),bn=(0,$e.createAsyncThunk)(Rn+"/executeMutation",dn,{getPendingMeta:function(){var qe;return(qe={startedTimeStamp:Date.now()})[$e.SHOULD_AUTOBATCH]=!0,qe}});function yn(qe){return function(Ot){var St,st;return((st=(St=Ot==null?void 0:Ot.meta)==null?void 0:St.arg)==null?void 0:st.endpointName)===qe}}return{queryThunk:En,mutationThunk:bn,prefetch:function(qe,Ot,St){return function(st,wt){var Bt=function(De){return"force"in De}(St)&&St.force,mt=function(De){return"ifOlderThan"in De}(St)&&St.ifOlderThan,rt=function(De){return De===void 0&&(De=!0),Nn.endpoints[qe].initiate(Ot,{forceRefetch:De})},Oe=Nn.endpoints[qe].select(Ot)(wt());if(Bt)st(rt());else if(mt){var Ie=Oe==null?void 0:Oe.fulfilledTimeStamp;if(!Ie)return void st(rt());(Number(new Date)-Number(new Date(Ie)))/1e3>=mt&&st(rt())}else st(rt(!1))}},updateQueryData:function(qe,Ot,St){return function(st,wt){var Bt,mt,rt=Nn.endpoints[qe].select(Ot)(wt()),Oe={patches:[],inversePatches:[],undo:function(){return st(Nn.util.patchQueryData(qe,Ot,Oe.inversePatches))}};if(rt.status===t.uninitialized)return Oe;if("data"in rt)if((0,Ee.isDraftable)(rt.data)){var Ie=(0,Ee.produceWithPatches)(rt.data,St),De=Ie[2];(Bt=Oe.patches).push.apply(Bt,Ie[1]),(mt=Oe.inversePatches).push.apply(mt,De)}else{var We=St(rt.data);Oe.patches.push({op:"replace",path:[],value:We}),Oe.inversePatches.push({op:"replace",path:[],value:rt.data})}return st(Nn.util.patchQueryData(qe,Ot,Oe.patches)),Oe}},upsertQueryData:function(qe,Ot,St){return function(st){var wt;return st(Nn.endpoints[qe].initiate(Ot,((wt={subscribe:!1,forceRefetch:!0})[xe]=function(){return{data:St}},wt)))}},patchQueryData:function(qe,Ot,St){return function(st){st(Nn.internalActions.queryResultPatched({queryCacheKey:Tn({queryArgs:Ot,endpointDefinition:mr[qe],endpointName:qe}),patches:St}))}},buildMatchThunkActions:function(qe,Ot){return{matchPending:(0,Te.isAllOf)((0,Te.isPending)(qe),yn(Ot)),matchFulfilled:(0,Te.isAllOf)((0,Te.isFulfilled)(qe),yn(Ot)),matchRejected:(0,Te.isAllOf)((0,Te.isRejected)(qe),yn(Ot))}}}}({baseQuery:_e,reducerPath:me,context:he,api:J,serializeQueryArgs:ut}),Xe=Ce.queryThunk,jt=Ce.mutationThunk,Et=Ce.patchQueryData,Nt=Ce.updateQueryData,qt=Ce.upsertQueryData,tn=Ce.prefetch,en=Ce.buildMatchThunkActions,Ut=function(It){var In=It.reducerPath,Rn=It.queryThunk,Zn=It.mutationThunk,mr=It.context,Tn=mr.endpointDefinitions,Nn=mr.apiUid,dn=mr.extractRehydrationInfo,Sn=mr.hasRehydrationInfo,En=It.assertTagType,bn=It.config,yn=(0,ge.createAction)(In+"/resetApiState"),qe=(0,ge.createSlice)({name:In+"/queries",initialState:Pt,reducers:{removeQueryResult:{reducer:function(rt,Oe){delete rt[Oe.payload.queryCacheKey]},prepare:(0,ge.prepareAutoBatched)()},queryResultPatched:function(rt,Oe){var Ie=Oe.payload,De=Ie.patches;bt(rt,Ie.queryCacheKey,function(We){We.data=(0,vt.applyPatches)(We.data,De.concat())})}},extraReducers:function(rt){rt.addCase(Rn.pending,function(Oe,Ie){var De,We=Ie.meta,Ze=Ie.meta.arg,Dt=de(Ze);(Ze.subscribe||Dt)&&(Oe[De=Ze.queryCacheKey]!=null||(Oe[De]={status:t.uninitialized,endpointName:Ze.endpointName})),bt(Oe,Ze.queryCacheKey,function(Rt){Rt.status=t.pending,Rt.requestId=Dt&&Rt.requestId?Rt.requestId:We.requestId,Ze.originalArgs!==void 0&&(Rt.originalArgs=Ze.originalArgs),Rt.startedTimeStamp=We.startedTimeStamp})}).addCase(Rn.fulfilled,function(Oe,Ie){var De=Ie.meta,We=Ie.payload;bt(Oe,De.arg.queryCacheKey,function(Ze){var Dt;if(Ze.requestId===De.requestId||de(De.arg)){var Rt=Tn[De.arg.endpointName].merge;if(Ze.status=t.fulfilled,Rt)if(Ze.data!==void 0){var Ve=De.fulfilledTimeStamp,nn=De.arg,xn=De.baseQueryMeta,hn=De.requestId,gr=(0,ge.createNextState)(Ze.data,function(Xn){return Rt(Xn,We,{arg:nn.originalArgs,baseQueryMeta:xn,fulfilledTimeStamp:Ve,requestId:hn})});Ze.data=gr}else Ze.data=We;else Ze.data=(Dt=Tn[De.arg.endpointName].structuralSharing)==null||Dt?M((0,on.isDraft)(Ze.data)?(0,vt.original)(Ze.data):Ze.data,We):We;delete Ze.error,Ze.fulfilledTimeStamp=De.fulfilledTimeStamp}})}).addCase(Rn.rejected,function(Oe,Ie){var De=Ie.meta,We=De.condition,Ze=De.requestId,Dt=Ie.error,Rt=Ie.payload;bt(Oe,De.arg.queryCacheKey,function(Ve){if(!We){if(Ve.requestId!==Ze)return;Ve.status=t.rejected,Ve.error=Rt??Dt}})}).addMatcher(Sn,function(Oe,Ie){for(var De=dn(Ie).queries,We=0,Ze=Object.entries(De);We<Ze.length;We++){var Dt=Ze[We],Rt=Dt[1];(Rt==null?void 0:Rt.status)!==t.fulfilled&&(Rt==null?void 0:Rt.status)!==t.rejected||(Oe[Dt[0]]=Rt)}})}}),Ot=(0,ge.createSlice)({name:In+"/mutations",initialState:Pt,reducers:{removeMutationResult:{reducer:function(rt,Oe){var Ie=Se(Oe.payload);Ie in rt&&delete rt[Ie]},prepare:(0,ge.prepareAutoBatched)()}},extraReducers:function(rt){rt.addCase(Zn.pending,function(Oe,Ie){var De=Ie.meta,We=De.requestId,Ze=De.arg,Dt=De.startedTimeStamp;Ze.track&&(Oe[Se(Ie.meta)]={requestId:We,status:t.pending,endpointName:Ze.endpointName,startedTimeStamp:Dt})}).addCase(Zn.fulfilled,function(Oe,Ie){var De=Ie.payload,We=Ie.meta;We.arg.track&&Me(Oe,We,function(Ze){Ze.requestId===We.requestId&&(Ze.status=t.fulfilled,Ze.data=De,Ze.fulfilledTimeStamp=We.fulfilledTimeStamp)})}).addCase(Zn.rejected,function(Oe,Ie){var De=Ie.payload,We=Ie.error,Ze=Ie.meta;Ze.arg.track&&Me(Oe,Ze,function(Dt){Dt.requestId===Ze.requestId&&(Dt.status=t.rejected,Dt.error=De??We)})}).addMatcher(Sn,function(Oe,Ie){for(var De=dn(Ie).mutations,We=0,Ze=Object.entries(De);We<Ze.length;We++){var Dt=Ze[We],Rt=Dt[0],Ve=Dt[1];(Ve==null?void 0:Ve.status)!==t.fulfilled&&(Ve==null?void 0:Ve.status)!==t.rejected||Rt===(Ve==null?void 0:Ve.requestId)||(Oe[Rt]=Ve)}})}}),St=(0,ge.createSlice)({name:In+"/invalidation",initialState:Pt,reducers:{},extraReducers:function(rt){rt.addCase(qe.actions.removeQueryResult,function(Oe,Ie){for(var De=Ie.payload.queryCacheKey,We=0,Ze=Object.values(Oe);We<Ze.length;We++)for(var Dt=0,Rt=Object.values(Ze[We]);Dt<Rt.length;Dt++){var Ve=Rt[Dt],nn=Ve.indexOf(De);nn!==-1&&Ve.splice(nn,1)}}).addMatcher(Sn,function(Oe,Ie){for(var De,We,Ze,Dt,Rt=dn(Ie).provided,Ve=0,nn=Object.entries(Rt);Ve<nn.length;Ve++)for(var xn=nn[Ve],hn=xn[0],gr=0,Xn=Object.entries(xn[1]);gr<Xn.length;gr++)for(var gn=Xn[gr],Vn=gn[0],ao=gn[1],fn=(Dt=(We=(De=Oe[hn])!=null?De:Oe[hn]={})[Ze=Vn||"__internal_without_id"])!=null?Dt:We[Ze]=[],$n=0,Ur=ao;$n<Ur.length;$n++){var Rr=Ur[$n];fn.includes(Rr)||fn.push(Rr)}}).addMatcher((0,ge.isAnyOf)((0,ge.isFulfilled)(Rn),(0,ge.isRejectedWithValue)(Rn)),function(Oe,Ie){for(var De,We,Ze,Dt,Rt=ct(Ie,"providesTags",Tn,En),Ve=Ie.meta.arg.queryCacheKey,nn=0,xn=Object.values(Oe);nn<xn.length;nn++)for(var hn=0,gr=Object.values(xn[nn]);hn<gr.length;hn++){var Xn=gr[hn],gn=Xn.indexOf(Ve);gn!==-1&&Xn.splice(gn,1)}for(var Vn=0,ao=Rt;Vn<ao.length;Vn++){var fn=ao[Vn],$n=fn.type,Ur=fn.id,Rr=(Dt=(We=(De=Oe[$n])!=null?De:Oe[$n]={})[Ze=Ur||"__internal_without_id"])!=null?Dt:We[Ze]=[];Rr.includes(Ve)||Rr.push(Ve)}})}}),st=(0,ge.createSlice)({name:In+"/subscriptions",initialState:Pt,reducers:{updateSubscriptionOptions:function(rt,Oe){},unsubscribeQueryResult:function(rt,Oe){},internal_probeSubscription:function(rt,Oe){}}}),wt=(0,ge.createSlice)({name:In+"/internalSubscriptions",initialState:Pt,reducers:{subscriptionsUpdated:{reducer:function(rt,Oe){return(0,vt.applyPatches)(rt,Oe.payload)},prepare:(0,ge.prepareAutoBatched)()}}}),Bt=(0,ge.createSlice)({name:In+"/config",initialState:S({online:typeof navigator>"u"||navigator.onLine===void 0||navigator.onLine,focused:typeof document>"u"||document.visibilityState!=="hidden",middlewareRegistered:!1},bn),reducers:{middlewareRegistered:function(rt,Oe){rt.middlewareRegistered=rt.middlewareRegistered!=="conflict"&&Nn===Oe.payload||"conflict"}},extraReducers:function(rt){rt.addCase(fe,function(Oe){Oe.online=!0}).addCase(ie,function(Oe){Oe.online=!1}).addCase(Y,function(Oe){Oe.focused=!0}).addCase(ae,function(Oe){Oe.focused=!1}).addMatcher(Sn,function(Oe){return S({},Oe)})}}),mt=(0,ge.combineReducers)({queries:qe.reducer,mutations:Ot.reducer,provided:St.reducer,subscriptions:wt.reducer,config:Bt.reducer});return{reducer:function(rt,Oe){return mt(yn.match(Oe)?void 0:rt,Oe)},actions:k(S(S(S(S(S({},Bt.actions),qe.actions),st.actions),wt.actions),Ot.actions),{unsubscribeMutationResult:Ot.actions.removeMutationResult,resetApiState:yn})}}({context:he,queryThunk:Xe,mutationThunk:jt,reducerPath:me,assertTagType:He,config:{refetchOnFocus:ft,refetchOnReconnect:xt,refetchOnMountOrArgChange:Ht,keepUnusedDataFor:ot,reducerPath:me}}),Be=Ut.reducer,yt=Ut.actions;$r(J.util,{patchQueryData:Et,updateQueryData:Nt,upsertQueryData:qt,prefetch:tn,resetApiState:yt.resetApiState}),$r(J.internalActions,yt);var Mt=function(It){var In=It.reducerPath,Rn=It.queryThunk,Zn=It.api,mr=It.context,Tn=mr.apiUid,Nn={invalidateTags:(0,cr.createAction)(In+"/invalidateTags")},dn=[Wr,pn,Hr,xr,Wn,Do];return{middleware:function(En){var bn=!1,yn=k(S({},It),{internalState:{currentSubscriptions:{}},refetchQuery:Sn}),qe=dn.map(function(st){return st(yn)}),Ot=function(st){var wt=st.api,Bt=st.queryThunk,mt=st.internalState,rt=wt.reducerPath+"/subscriptions",Oe=null,Ie=!1,De=wt.internalActions,We=De.updateSubscriptionOptions,Ze=De.unsubscribeQueryResult;return function(Dt,Rt){var Ve,nn;if(Oe||(Oe=JSON.parse(JSON.stringify(mt.currentSubscriptions))),wt.util.resetApiState.match(Dt))return Oe=mt.currentSubscriptions={},[!0,!1];if(wt.internalActions.internal_probeSubscription.match(Dt)){var xn=Dt.payload;return[!1,!!((Ve=mt.currentSubscriptions[xn.queryCacheKey])!=null&&Ve[xn.requestId])]}var hn=function(gn,Vn){var ao,fn,$n,Ur,Rr,Ga,ef,Ao,fa;if(We.match(Vn)){var zs=Vn.payload,pa=zs.queryCacheKey,io=zs.requestId;return(ao=gn==null?void 0:gn[pa])!=null&&ao[io]&&(gn[pa][io]=zs.options),!0}if(Ze.match(Vn)){var lo=Vn.payload;return io=lo.requestId,gn[pa=lo.queryCacheKey]&&delete gn[pa][io],!0}if(wt.internalActions.removeQueryResult.match(Vn))return delete gn[Vn.payload.queryCacheKey],!0;if(Bt.pending.match(Vn)){var co=Vn.meta;if(io=co.requestId,(Yr=co.arg).subscribe)return(Wo=($n=gn[fn=Yr.queryCacheKey])!=null?$n:gn[fn]={})[io]=(Rr=(Ur=Yr.subscriptionOptions)!=null?Ur:Wo[io])!=null?Rr:{},!0}if(Bt.rejected.match(Vn)){var Wo,To=Vn.meta,Yr=To.arg;if(io=To.requestId,To.condition&&Yr.subscribe)return(Wo=(ef=gn[Ga=Yr.queryCacheKey])!=null?ef:gn[Ga]={})[io]=(fa=(Ao=Yr.subscriptionOptions)!=null?Ao:Wo[io])!=null?fa:{},!0}return!1}(mt.currentSubscriptions,Dt);if(hn){Ie||(ds(function(){var gn=JSON.parse(JSON.stringify(mt.currentSubscriptions)),Vn=(0,Vr.produceWithPatches)(Oe,function(){return gn});Rt.next(wt.internalActions.subscriptionsUpdated(Vn[1])),Oe=gn,Ie=!1}),Ie=!0);var gr=!!((nn=Dt.type)!=null&&nn.startsWith(rt)),Xn=Bt.rejected.match(Dt)&&Dt.meta.condition&&!!Dt.meta.arg.subscribe;return[!gr&&!Xn,!1]}return[!0,!1]}}(yn),St=function(st){var wt=st.reducerPath,Bt=st.context,mt=st.refetchQuery,rt=st.internalState,Oe=st.api.internalActions.removeQueryResult;function Ie(De,We){var Ze=De.getState()[wt],Dt=Ze.queries,Rt=rt.currentSubscriptions;Bt.batch(function(){for(var Ve=0,nn=Object.keys(Rt);Ve<nn.length;Ve++){var xn=nn[Ve],hn=Dt[xn],gr=Rt[xn];gr&&hn&&(Object.values(gr).some(function(Xn){return Xn[We]===!0})||Object.values(gr).every(function(Xn){return Xn[We]===void 0})&&Ze.config[We])&&(Object.keys(gr).length===0?De.dispatch(Oe({queryCacheKey:xn})):hn.status!==t.uninitialized&&De.dispatch(mt(hn,xn)))}})}return function(De,We){Y.match(De)&&Ie(We,"refetchOnFocus"),fe.match(De)&&Ie(We,"refetchOnReconnect")}}(yn);return function(st){return function(wt){bn||(bn=!0,En.dispatch(Zn.internalActions.middlewareRegistered(Tn)));var Bt,mt=k(S({},En),{next:st}),rt=En.getState(),Oe=Ot(wt,mt,rt),Ie=Oe[1];if(Bt=Oe[0]?st(wt):Ie,En.getState()[In]&&(St(wt,mt,rt),function(Ze){return!!Ze&&typeof Ze.type=="string"&&Ze.type.startsWith(In+"/")}(wt)||mr.hasRehydrationInfo(wt)))for(var De=0,We=qe;De<We.length;De++)(0,We[De])(wt,mt,rt);return Bt}}},actions:Nn};function Sn(En,bn,yn){return yn===void 0&&(yn={}),Rn(S({type:"query",endpointName:En.endpointName,originalArgs:En.originalArgs,subscribe:!1,forceRefetch:!0,queryCacheKey:bn},yn))}}({reducerPath:me,context:he,queryThunk:Xe,mutationThunk:jt,api:J,assertTagType:He}),Wt=Mt.middleware;$r(J.util,Mt.actions),$r(J,{reducer:Be,middleware:Wt});var jn=function(It){var In=It.serializeQueryArgs,Rn=It.reducerPath,Zn=function(dn){return $t},mr=function(dn){return Lt};return{buildQuerySelector:function(dn,Sn){return function(En){var bn=In({queryArgs:En,endpointDefinition:Sn,endpointName:dn});return(0,re.createSelector)(En===Tt?Zn:function(yn){var qe,Ot,St;return(St=(Ot=(qe=Nn(yn))==null?void 0:qe.queries)==null?void 0:Ot[bn])!=null?St:$t},Tn)}},buildMutationSelector:function(){return function(dn){var Sn,En;return En=typeof dn=="object"?(Sn=Se(dn))!=null?Sn:Tt:dn,(0,re.createSelector)(En===Tt?mr:function(bn){var yn,qe,Ot;return(Ot=(qe=(yn=Nn(bn))==null?void 0:yn.mutations)==null?void 0:qe[En])!=null?Ot:Lt},Tn)}},selectInvalidatedBy:function(dn,Sn){for(var En,bn=dn[Rn],yn=new Set,qe=0,Ot=Sn.map(le);qe<Ot.length;qe++){var St=Ot[qe],st=bn.provided[St.type];if(st)for(var wt=0,Bt=(En=St.id!==void 0?st[St.id]:O(Object.values(st)))!=null?En:[];wt<Bt.length;wt++)yn.add(Bt[wt])}return O(Array.from(yn.values()).map(function(mt){var rt=bn.queries[mt];return rt?[{queryCacheKey:mt,endpointName:rt.endpointName,originalArgs:rt.originalArgs}]:[]}))}};function Tn(dn){return S(S({},dn),{status:Sn=dn.status,isUninitialized:Sn===t.uninitialized,isLoading:Sn===t.pending,isSuccess:Sn===t.fulfilled,isError:Sn===t.rejected});var Sn}function Nn(dn){return dn[Rn]}}({serializeQueryArgs:ut,reducerPath:me}),Gt=jn.buildQuerySelector,un=jn.buildMutationSelector;$r(J.util,{selectInvalidatedBy:jn.selectInvalidatedBy});var sn=function(It){var In=It.serializeQueryArgs,Rn=It.queryThunk,Zn=It.mutationThunk,mr=It.api,Tn=It.context,Nn=new Map,dn=new Map,Sn=mr.internalActions,En=Sn.unsubscribeQueryResult,bn=Sn.removeMutationResult,yn=Sn.updateSubscriptionOptions;return{buildInitiateQuery:function(qe,Ot){var St=function(st,wt){var Bt=wt===void 0?{}:wt,mt=Bt.subscribe,rt=mt===void 0||mt,Oe=Bt.forceRefetch,Ie=Bt.subscriptionOptions,De=Bt[xe];return function(We,Ze){var Dt,Rt,Ve=In({queryArgs:st,endpointDefinition:Ot,endpointName:qe}),nn=Rn(((Dt={type:"query",subscribe:rt,forceRefetch:Oe,subscriptionOptions:Ie,endpointName:qe,originalArgs:st,queryCacheKey:Ve})[xe]=De,Dt)),xn=mr.endpoints[qe].select(st),hn=We(nn),gr=xn(Ze()),Xn=hn.requestId,gn=hn.abort,Vn=gr.requestId!==Xn,ao=(Rt=Nn.get(We))==null?void 0:Rt[Ve],fn=function(){return xn(Ze())},$n=Object.assign(De?hn.then(fn):Vn&&!ao?Promise.resolve(gr):Promise.all([ao,hn]).then(fn),{arg:st,requestId:Xn,subscriptionOptions:Ie,queryCacheKey:Ve,abort:gn,unwrap:function(){return E(this,null,function(){var Rr;return r(this,function(Ga){switch(Ga.label){case 0:return[4,$n];case 1:if((Rr=Ga.sent()).isError)throw Rr.error;return[2,Rr.data]}})})},refetch:function(){return We(St(st,{subscribe:!1,forceRefetch:!0}))},unsubscribe:function(){rt&&We(En({queryCacheKey:Ve,requestId:Xn}))},updateSubscriptionOptions:function(Rr){$n.subscriptionOptions=Rr,We(yn({endpointName:qe,requestId:Xn,queryCacheKey:Ve,options:Rr}))}});if(!ao&&!Vn&&!De){var Ur=Nn.get(We)||{};Ur[Ve]=$n,Nn.set(We,Ur),$n.then(function(){delete Ur[Ve],Object.keys(Ur).length||Nn.delete(We)})}return $n}};return St},buildInitiateMutation:function(qe){return function(Ot,St){var st=St===void 0?{}:St,wt=st.track,Bt=wt===void 0||wt,mt=st.fixedCacheKey;return function(rt,Oe){var Ie=Zn({type:"mutation",endpointName:qe,originalArgs:Ot,track:Bt,fixedCacheKey:mt}),De=rt(Ie),We=De.requestId,Ze=De.abort,Dt=De.unwrap,Rt=De.unwrap().then(function(hn){return{data:hn}}).catch(function(hn){return{error:hn}}),Ve=function(){rt(bn({requestId:We,fixedCacheKey:mt}))},nn=Object.assign(Rt,{arg:De.arg,requestId:We,abort:Ze,unwrap:Dt,unsubscribe:Ve,reset:Ve}),xn=dn.get(rt)||{};return dn.set(rt,xn),xn[We]=nn,nn.then(function(){delete xn[We],Object.keys(xn).length||dn.delete(rt)}),mt&&(xn[mt]=nn,nn.then(function(){xn[mt]===nn&&(delete xn[mt],Object.keys(xn).length||dn.delete(rt))})),nn}}},getRunningQueryThunk:function(qe,Ot){return function(St){var st,wt=In({queryArgs:Ot,endpointDefinition:Tn.endpointDefinitions[qe],endpointName:qe});return(st=Nn.get(St))==null?void 0:st[wt]}},getRunningMutationThunk:function(qe,Ot){return function(St){var st;return(st=dn.get(St))==null?void 0:st[Ot]}},getRunningQueriesThunk:function(){return function(qe){return Object.values(Nn.get(qe)||{}).filter(ke)}},getRunningMutationsThunk:function(){return function(qe){return Object.values(dn.get(qe)||{}).filter(ke)}},getRunningOperationPromises:function(){var qe=function(Ot){return Array.from(Ot.values()).flatMap(function(St){return St?Object.values(St):[]})};return o(o([],qe(Nn)),qe(dn)).filter(ke)},removalWarning:function(){throw new Error(`This method had to be removed due to a conceptual bug in RTK.
-       Please see https://github.com/reduxjs/redux-toolkit/pull/2481 for details.
-       See https://redux-toolkit.js.org/rtk-query/usage/server-side-rendering for new guidance on SSR.`)}}}({queryThunk:Xe,mutationThunk:jt,api:J,serializeQueryArgs:ut,context:he}),Or=sn.buildInitiateQuery,Jn=sn.buildInitiateMutation;return $r(J.util,{getRunningOperationPromises:sn.getRunningOperationPromises,getRunningOperationPromise:sn.removalWarning,getRunningMutationThunk:sn.getRunningMutationThunk,getRunningMutationsThunk:sn.getRunningMutationsThunk,getRunningQueryThunk:sn.getRunningQueryThunk,getRunningQueriesThunk:sn.getRunningQueriesThunk}),{name:fs,injectEndpoint:function(It,In){var Rn,Zn=J;(Rn=Zn.endpoints)[It]!=null||(Rn[It]={}),oe(In)?$r(Zn.endpoints[It],{name:It,select:Gt(It,In),initiate:Or(It,In)},en(Xe,It)):In.type===U.mutation&&$r(Zn.endpoints[It],{name:It,select:un(),initiate:Jn(It)},en(jt,It))}}}}},Ls=Ke(da())})(FE);BE.exports=FE;var ro=BE.exports;const IJ=e=>{const{boardToDelete:t,setBoardToDelete:n}=e,{t:r}=ye(),o=B(_=>_.config.canRestoreDeletedImagesFromBin),{currentData:s,isFetching:a}=n7((t==null?void 0:t.board_id)??ro.skipToken),c=f.useMemo(()=>be([lt],_=>{const P=(s??[]).map(E=>L_(_,E));return{imageUsageSummary:{isInitialImage:wa(P,E=>E.isInitialImage),isCanvasImage:wa(P,E=>E.isCanvasImage),isNodesImage:wa(P,E=>E.isNodesImage),isControlNetImage:wa(P,E=>E.isControlNetImage)}}}),[s]),[d,{isLoading:p}]=r7(),[h,{isLoading:m}]=o7(),{imageUsageSummary:v}=B(c),b=f.useCallback(()=>{t&&(d(t.board_id),n(void 0))},[t,d,n]),w=f.useCallback(()=>{t&&(h(t.board_id),n(void 0))},[t,h,n]),y=f.useCallback(()=>{n(void 0)},[n]),S=f.useRef(null),k=f.useMemo(()=>m||p||a,[m,p,a]);return t?i.jsx(Td,{isOpen:!!t,onClose:y,leastDestructiveRef:S,isCentered:!0,children:i.jsx(Aa,{children:i.jsxs(Nd,{children:[i.jsxs(Da,{fontSize:"lg",fontWeight:"bold",children:["Delete 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e=te();return f.useCallback((n,r)=>{e(bM({controlNetId:n,changes:r}))},[e])};function Ns(e){return i.jsx(W,{sx:{flexDirection:"column",gap:2},children:e.children})}const Nk=ls.canny_image_processor.default,Qre=e=>{const{controlNetId:t,processorNode:n,isEnabled:r}=e,{low_threshold:o,high_threshold:s}=n,a=B(kr),c=Ts(),d=f.useCallback(v=>{c(t,{low_threshold:v})},[t,c]),p=f.useCallback(()=>{c(t,{low_threshold:Nk.low_threshold})},[t,c]),h=f.useCallback(v=>{c(t,{high_threshold:v})},[t,c]),m=f.useCallback(()=>{c(t,{high_threshold:Nk.high_threshold})},[t,c]);return i.jsxs(Ns,{children:[i.jsx(_t,{isDisabled:a||!r,label:"Low Threshold",value:o,onChange:d,handleReset:p,withReset:!0,min:0,max:255,withInput:!0,withSliderMarks:!0}),i.jsx(_t,{isDisabled:a||!r,label:"High 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i.jsxs(Ns,{children:[i.jsx(_t,{label:"Detect Resolution",value:n,onChange:d,handleReset:m,withReset:!0,min:0,max:4096,withInput:!0,withSliderMarks:!0,isDisabled:a||!s}),i.jsx(_t,{label:"Image Resolution",value:r,onChange:p,handleReset:v,withReset:!0,min:0,max:4096,withInput:!0,withSliderMarks:!0,isDisabled:a||!s}),i.jsx(yr,{label:"Scribble",isChecked:o,onChange:h,isDisabled:a||!s})]})},noe=f.memo(toe),Lk=ls.lineart_anime_image_processor.default,roe=e=>{const{controlNetId:t,processorNode:n,isEnabled:r}=e,{image_resolution:o,detect_resolution:s}=n,a=Ts(),c=B(kr),d=f.useCallback(v=>{a(t,{detect_resolution:v})},[t,a]),p=f.useCallback(v=>{a(t,{image_resolution:v})},[t,a]),h=f.useCallback(()=>{a(t,{detect_resolution:Lk.detect_resolution})},[t,a]),m=f.useCallback(()=>{a(t,{image_resolution:Lk.image_resolution})},[t,a]);return i.jsxs(Ns,{children:[i.jsx(_t,{label:"Detect 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$r(C)?(u.flags|=128,u.child=l.child,u=rR.bind(null,l),da(C,u),null):(l=j.treeContext,ke&&(Vo=he(C),No=u,er=!0,ps=null,Qc=!1,l!==null&&(lo[co++]=To,lo[co++]=Yr,lo[co++]=Wo,To=l.id,Yr=l.overflow,Wo=u)),u=qg(u,x.children),u.flags|=4096,u)}function h2(l,u,g){l.lanes|=u;var x=l.alternate;x!==null&&(x.lanes|=u),kg(l.return,u,g)}function Kg(l,u,g,x,C){var j=l.memoizedState;j===null?l.memoizedState={isBackwards:u,rendering:null,renderingStartTime:0,last:x,tail:g,tailMode:C}:(j.isBackwards=u,j.rendering=null,j.renderingStartTime=0,j.last=x,j.tail=g,j.tailMode=C)}function m2(l,u,g){var x=u.pendingProps,C=x.revealOrder,j=x.tail;if(uo(l,u,x.children,g),x=ur.current,x&2)x=x&1|2,u.flags|=128;else{if(l!==null&&l.flags&128)e:for(l=u.child;l!==null;){if(l.tag===13)l.memoizedState!==null&&h2(l,g,u);else if(l.tag===19)h2(l,g,u);else if(l.child!==null){l.child.return=l,l=l.child;continue}if(l===u)break e;for(;l.sibling===null;){if(l.return===null||l.return===u)break 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u.child}function U8(l,u,g){switch(u.tag){case 3:d2(u),kl();break;case 5:Mx(u);break;case 1:Jn(u.type)&&Zn(u);break;case 4:Eg(u,u.stateNode.containerInfo);break;case 10:xx(u,u.type._context,u.memoizedProps.value);break;case 13:var x=u.memoizedState;if(x!==null)return x.dehydrated!==null?(Wt(ur,ur.current&1),u.flags|=128,null):g&u.child.childLanes?p2(l,u,g):(Wt(ur,ur.current&1),l=ma(l,u,g),l!==null?l.sibling:null);Wt(ur,ur.current&1);break;case 19:if(x=(g&u.childLanes)!==0,l.flags&128){if(x)return m2(l,u,g);u.flags|=128}var C=u.memoizedState;if(C!==null&&(C.rendering=null,C.tail=null,C.lastEffect=null),Wt(ur,ur.current),x)break;return null;case 22:case 23:return u.lanes=0,l2(l,u,g)}return ma(l,u,g)}function Ws(l){l.flags|=4}function g2(l,u){if(l!==null&&l.child===u.child)return!0;if(u.flags&16)return!1;for(l=u.child;l!==null;){if(l.flags&12854||l.subtreeFlags&12854)return!1;l=l.sibling}return!0}var su,au,bf,yf;if(le)su=function(l,u){for(var g=u.child;g!==null;){if(g.tag===5||g.tag===6)fe(l,g.stateNode);else if(g.tag!==4&&g.child!==null){g.child.return=g,g=g.child;continue}if(g===u)break;for(;g.sibling===null;){if(g.return===null||g.return===u)return;g=g.return}g.sibling.return=g.return,g=g.sibling}},au=function(){},bf=function(l,u,g,x,C){if(l=l.memoizedProps,l!==x){var j=u.stateNode,N=Fs(Go.current);g=X(j,g,l,x,C,N),(u.updateQueue=g)&&Ws(u)}},yf=function(l,u,g,x){g!==x&&Ws(u)};else if(ge){su=function(l,u,g,x){for(var C=u.child;C!==null;){if(C.tag===5){var j=C.stateNode;g&&x&&(j=Nr(j,C.type,C.memoizedProps,C)),fe(l,j)}else if(C.tag===6)j=C.stateNode,g&&x&&(j=Do(j,C.memoizedProps,C)),fe(l,j);else if(C.tag!==4){if(C.tag===22&&C.memoizedState!==null)j=C.child,j!==null&&(j.return=C),su(l,C,!0,!0);else if(C.child!==null){C.child.return=C,C=C.child;continue}}if(C===u)break;for(;C.sibling===null;){if(C.return===null||C.return===u)return;C=C.return}C.sibling.return=C.return,C=C.sibling}};var v2=function(l,u,g,x){for(var 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l.subtreeFlags|=x,l.childLanes=g,u}function G8(l,u,g){var x=u.pendingProps;switch(vg(u),u.tag){case 2:case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:return Jr(u),null;case 1:return Jn(u.type)&&It(),Jr(u),null;case 3:return g=u.stateNode,El(),Mt(un),Mt(Gt),Mg(),g.pendingContext&&(g.context=g.pendingContext,g.pendingContext=null),(l===null||l.child===null)&&(tf(u)?Ws(u):l===null||l.memoizedState.isDehydrated&&!(u.flags&256)||(u.flags|=1024,ps!==null&&(d0(ps),ps=null))),au(l,u),Jr(u),null;case 5:Og(u),g=Fs(Il.current);var C=u.type;if(l!==null&&u.stateNode!=null)bf(l,u,C,x,g),l.ref!==u.ref&&(u.flags|=512,u.flags|=2097152);else{if(!x){if(u.stateNode===null)throw Error(a(166));return Jr(u),null}if(l=Fs(Go.current),tf(u)){if(!ke)throw Error(a(175));l=_e(u.stateNode,u.type,u.memoizedProps,g,l,u,!Qc),u.updateQueue=l,l!==null&&Ws(u)}else{var j=ae(C,x,g,l,u);su(j,u,!1,!1),u.stateNode=j,ie(j,C,x,g,l)&&Ws(u)}u.ref!==null&&(u.flags|=512,u.flags|=2097152)}return Jr(u),null;case 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u.flags&128?(u.lanes=g,u):(g=x!==null,g!==(l!==null&&l.memoizedState!==null)&&g&&(u.child.flags|=8192,u.mode&1&&(l===null||ur.current&1?Dr===0&&(Dr=3):p0())),u.updateQueue!==null&&(u.flags|=4),Jr(u),null);case 4:return El(),au(l,u),l===null&&de(u.stateNode.containerInfo),Jr(u),null;case 10:return Cg(u.type._context),Jr(u),null;case 17:return Jn(u.type)&&It(),Jr(u),null;case 19:if(Mt(ur),C=u.memoizedState,C===null)return 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i.jsxs(Mo,{label:e("parameters.seamCorrectionHeader"),children:[i.jsx(fde,{}),i.jsx(dde,{}),i.jsx(hde,{}),i.jsx(pde,{})]})},gde=f.memo(mde),vde=be([lt,lr],({canvas:e,generation:t},n)=>{const{boundingBoxDimensions:r}=e,{aspectRatio:o}=t;return{boundingBoxDimensions:r,isStaging:n,aspectRatio:o}},Je),bde=()=>{const e=te(),{boundingBoxDimensions:t,isStaging:n,aspectRatio:r}=B(vde),{t:o}=ye(),s=c=>{if(e(Js({...t,height:Math.floor(c)})),r){const d=ws(c*r,64);e(Js({width:d,height:Math.floor(c)}))}},a=()=>{if(e(Js({...t,height:Math.floor(512)})),r){const c=ws(512*r,64);e(Js({width:c,height:Math.floor(512)}))}};return i.jsx(_t,{label:o("parameters.boundingBoxHeight"),min:64,max:1024,step:64,value:t.height,onChange:s,isDisabled:n,sliderNumberInputProps:{max:4096},withSliderMarks:!0,withInput:!0,withReset:!0,handleReset:a})},yde=f.memo(bde),xde=be([lt,lr],({canvas:e,generation:t},n)=>{const{boundingBoxDimensions:r}=e,{aspectRatio:o}=t;return{boundingBoxDimensions:r,isStaging:n,aspectRatio:o}},Je),wde=()=>{const e=te(),{boundingBoxDimensions:t,isStaging:n,aspectRatio:r}=B(xde),{t:o}=ye(),s=c=>{if(e(Js({...t,width:Math.floor(c)})),r){const d=ws(c/r,64);e(Js({width:Math.floor(c),height:d}))}},a=()=>{if(e(Js({...t,width:Math.floor(512)})),r){const c=ws(512/r,64);e(Js({width:Math.floor(512),height:c}))}};return i.jsx(_t,{label:o("parameters.boundingBoxWidth"),min:64,max:1024,step:64,value:t.width,onChange:s,isDisabled:n,sliderNumberInputProps:{max:4096},withSliderMarks:!0,withInput:!0,withReset:!0,handleReset:a})},Sde=f.memo(wde);function __(){const e=te(),{t}=ye();return i.jsxs(W,{sx:{gap:2,p:4,borderRadius:4,flexDirection:"column",w:"full",bg:"base.150",_dark:{bg:"base.750"}},children:[i.jsxs(W,{alignItems:"center",gap:2,children:[i.jsx(Qe,{sx:{fontSize:"sm",width:"full",color:"base.700",_dark:{color:"base.300"}},children:t("parameters.aspectRatio")}),i.jsx(ml,{}),i.jsx(zO,{}),i.jsx(ze,{tooltip:t("ui.swapSizes"),"aria-label":t("ui.swapSizes"),size:"sm",icon:i.jsx(vO,{}),fontSize:20,onClick:()=>e(GD())})]}),i.jsx(Sde,{}),i.jsx(yde,{})]})}const Cde=be(lt,({ui:e,generation:t})=>{const{shouldUseSliders:n}=e,{shouldRandomizeSeed:r}=t;return{shouldUseSliders:n,activeLabel:r?void 0:"Manual Seed"}},Je),kde=()=>{const{shouldUseSliders:e,activeLabel:t}=B(Cde);return i.jsx(Mo,{label:"General",activeLabel:t,defaultIsOpen:!0,children:i.jsxs(W,{sx:{flexDirection:"column",gap:3},children:[e?i.jsxs(i.Fragment,{children:[i.jsx(wi,{}),i.jsx(Ci,{}),i.jsx(xi,{}),i.jsx(Si,{}),i.jsx(Re,{pt:2,children:i.jsx(ki,{})}),i.jsx(__,{})]}):i.jsxs(i.Fragment,{children:[i.jsxs(W,{gap:3,children:[i.jsx(wi,{}),i.jsx(Ci,{}),i.jsx(xi,{})]}),i.jsx(Si,{}),i.jsx(Re,{pt:2,children:i.jsx(ki,{})}),i.jsx(__,{})]}),i.jsx(KO,{})]})})},_de=f.memo(kde),R8=()=>i.jsxs(i.Fragment,{children:[i.jsx(ix,{}),i.jsx(Yd,{}),i.jsx(_de,{}),i.jsx(sx,{}),i.jsx(Jd,{}),i.jsx(Kd,{}),i.jsx(ax,{}),i.jsx(gde,{}),i.jsx(ude,{}),i.jsx(ox,{})]}),Pde=()=>i.jsxs(W,{sx:{gap:4,w:"full",h:"full"},children:[i.jsx(rx,{children:i.jsx(R8,{})}),i.jsx(que,{})]}),jde=f.memo(Pde),Ide=[{id:"txt2img",translationKey:"common.txt2img",icon:i.jsx(fo,{as:WY,sx:{boxSize:6,pointerEvents:"none"}}),content:i.jsx(ile,{})},{id:"img2img",translationKey:"common.img2img",icon:i.jsx(fo,{as:Oc,sx:{boxSize:6,pointerEvents:"none"}}),content:i.jsx(ase,{})},{id:"unifiedCanvas",translationKey:"common.unifiedCanvas",icon:i.jsx(fo,{as:Zee,sx:{boxSize:6,pointerEvents:"none"}}),content:i.jsx(jde,{})},{id:"nodes",translationKey:"common.nodes",icon:i.jsx(fo,{as:Jee,sx:{boxSize:6,pointerEvents:"none"}}),content:i.jsx(rle,{})},{id:"modelManager",translationKey:"modelManager.modelManager",icon:i.jsx(fo,{as:$Y,sx:{boxSize:6,pointerEvents:"none"}}),content:i.jsx(aae,{})}],Ede=be([bO,vo],(e,t)=>{const{disabledTabs:n}=e,{isNodesEnabled:r}=t;return 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i.jsxs(Ld,{defaultIndex:e,index:e,onChange:w,sx:{flexGrow:1,gap:4},isLazy:!0,children:[i.jsxs(zd,{sx:{pt:2,gap:4,flexDir:"column"},children:[h,i.jsx(ml,{}),i.jsx(ote,{})]}),i.jsxs(Jy,{id:"app",autoSaveId:"app",direction:"horizontal",style:{height:"100%",width:"100%"},children:[i.jsx(md,{id:"main",children:i.jsx($m,{style:{height:"100%",width:"100%"},children:m})}),r&&s&&!M8.includes(t)&&i.jsxs(i.Fragment,{children:[i.jsx(WO,{}),i.jsx(md,{ref:v,onResize:d,id:"gallery",order:3,defaultSize:b>wv&&b<100?b:wv,minSize:b,maxSize:50,children:i.jsx(hO,{})})]})]})]})},Mde=f.memo(Rde),Dde=be([Kn,Ba],(e,t)=>{const{shouldPinGallery:n,shouldShowGallery:r}=t;return{shouldPinGallery:n,shouldShowGalleryButton:M8.includes(e)?!1:!r}},{memoizeOptions:{resultEqualityCheck:Zt}}),Ade=()=>{const{t:e}=ye(),{shouldPinGallery:t,shouldShowGalleryButton:n}=B(Dde),r=te(),o=()=>{r(Av(!0)),t&&r(ko())};return n?i.jsx(ze,{tooltip:"Show Gallery 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t?null:i.jsx(GI,{direction:"left",isResizable:!1,isOpen:n,onClose:o,children:i.jsxs(W,{sx:{flexDir:"column",h:"full",w:tx,gap:2,position:"relative",flexShrink:0,overflowY:"auto"},children:[i.jsxs(W,{paddingBottom:4,justifyContent:"space-between",alignItems:"center",children:[i.jsx(gO,{}),i.jsx(HO,{})]}),i.jsx(W,{sx:{gap:2,flexDirection:"column",h:"full",w:"full"},children:a})]})})},Fde=f.memo(Bde),Hde=be([e=>e.hotkeys,e=>e.ui],(e,t)=>{const{shift:n}=e,{shouldPinParametersPanel:r,shouldPinGallery:o}=t;return{shift:n,shouldPinGallery:o,shouldPinParametersPanel:r}},{memoizeOptions:{resultEqualityCheck:Zt}}),Wde=()=>{const e=te(),{shift:t,shouldPinParametersPanel:n,shouldPinGallery:r}=B(Hde),o=B(Kn);return tt("*",()=>{mP("shift")?!t&&e(jo(!0)):t&&e(jo(!1))},{keyup:!0,keydown:!0},[t]),tt("o",()=>{e(YD()),o==="unifiedCanvas"&&n&&e(ko())}),tt(["shift+o"],()=>{e(QD()),o==="unifiedCanvas"&&e(ko())}),tt("g",()=>{e(JD()),o==="unifiedCanvas"&&r&&e(ko())}),tt(["shift+g"],()=>{e(G_()),o==="unifiedCanvas"&&e(ko())}),tt("1",()=>{e(Yl("txt2img"))}),tt("2",()=>{e(Yl("img2img"))}),tt("3",()=>{e(Yl("unifiedCanvas"))}),tt("4",()=>{e(Yl("nodes"))}),null},Vde=f.memo(Wde),Ude={},Gde=({config:e=Ude,headerComponent:t})=>{const n=B(rP),r=OF(),o=te();return f.useEffect(()=>{Bn.changeLanguage(n)},[n]),f.useEffect(()=>{o5(e)&&(r.info({namespace:"App",config:e},"Received config"),o(ZD(e)))},[o,e,r]),f.useEffect(()=>{o(e9())},[o]),i.jsxs(i.Fragment,{children:[i.jsxs(sl,{w:"100vw",h:"100vh",position:"relative",overflow:"hidden",children:[i.jsx(FH,{children:i.jsxs(sl,{sx:{gap:4,p:4,gridAutoRows:"min-content 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diff --git a/invokeai/frontend/web/dist/assets/App-7d912410.js b/invokeai/frontend/web/dist/assets/App-7d912410.js
new file mode 100644
index 0000000000..7a4e478802
--- /dev/null
+++ b/invokeai/frontend/web/dist/assets/App-7d912410.js
@@ -0,0 +1,169 @@
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s={width:n.offsetWidth,height:n.offsetHeight};return r&&(this.parentNode.style.flexWrap=o),this.removeBase(n),s},t.prototype.bindEvents=function(){this.window&&(this.window.addEventListener("mouseup",this.onMouseUp),this.window.addEventListener("mousemove",this.onMouseMove),this.window.addEventListener("mouseleave",this.onMouseUp),this.window.addEventListener("touchmove",this.onMouseMove,{capture:!0,passive:!1}),this.window.addEventListener("touchend",this.onMouseUp))},t.prototype.unbindEvents=function(){this.window&&(this.window.removeEventListener("mouseup",this.onMouseUp),this.window.removeEventListener("mousemove",this.onMouseMove),this.window.removeEventListener("mouseleave",this.onMouseUp),this.window.removeEventListener("touchmove",this.onMouseMove,!0),this.window.removeEventListener("touchend",this.onMouseUp))},t.prototype.componentDidMount=function(){if(!(!this.resizable||!this.window)){var n=this.window.getComputedStyle(this.resizable);this.setState({width:this.state.width||this.size.width,height:this.state.height||this.size.height,flexBasis:n.flexBasis!=="auto"?n.flexBasis:void 0})}},t.prototype.componentWillUnmount=function(){this.window&&this.unbindEvents()},t.prototype.createSizeForCssProperty=function(n,r){var o=this.propsSize&&this.propsSize[r];return this.state[r]==="auto"&&this.state.original[r]===n&&(typeof o>"u"||o==="auto")?"auto":n},t.prototype.calculateNewMaxFromBoundary=function(n,r){var o=this.props.boundsByDirection,s=this.state.direction,i=o&&Gl("left",s),c=o&&Gl("top",s),d,p;if(this.props.bounds==="parent"){var h=this.parentNode;h&&(d=i?this.resizableRight-this.parentLeft:h.offsetWidth+(this.parentLeft-this.resizableLeft),p=c?this.resizableBottom-this.parentTop:h.offsetHeight+(this.parentTop-this.resizableTop))}else this.props.bounds==="window"?this.window&&(d=i?this.resizableRight:this.window.innerWidth-this.resizableLeft,p=c?this.resizableBottom:this.window.innerHeight-this.resizableTop):this.props.bounds&&(d=i?this.resizableRight-this.targetLeft:this.props.bounds.offsetWidth+(this.targetLeft-this.resizableLeft),p=c?this.resizableBottom-this.targetTop:this.props.bounds.offsetHeight+(this.targetTop-this.resizableTop));return d&&Number.isFinite(d)&&(n=n&&n<d?n:d),p&&Number.isFinite(p)&&(r=r&&r<p?r:p),{maxWidth:n,maxHeight:r}},t.prototype.calculateNewSizeFromDirection=function(n,r){var o=this.props.scale||1,s=this.props.resizeRatio||1,i=this.state,c=i.direction,d=i.original,p=this.props,h=p.lockAspectRatio,m=p.lockAspectRatioExtraHeight,v=p.lockAspectRatioExtraWidth,b=d.width,w=d.height,y=m||0,S=v||0;return Gl("right",c)&&(b=d.width+(n-d.x)*s/o,h&&(w=(b-S)/this.ratio+y)),Gl("left",c)&&(b=d.width-(n-d.x)*s/o,h&&(w=(b-S)/this.ratio+y)),Gl("bottom",c)&&(w=d.height+(r-d.y)*s/o,h&&(b=(w-y)*this.ratio+S)),Gl("top",c)&&(w=d.height-(r-d.y)*s/o,h&&(b=(w-y)*this.ratio+S)),{newWidth:b,newHeight:w}},t.prototype.calculateNewSizeFromAspectRatio=function(n,r,o,s){var i=this.props,c=i.lockAspectRatio,d=i.lockAspectRatioExtraHeight,p=i.lockAspectRatioExtraWidth,h=typeof s.width>"u"?10:s.width,m=typeof o.width>"u"||o.width<0?n:o.width,v=typeof s.height>"u"?10:s.height,b=typeof o.height>"u"||o.height<0?r:o.height,w=d||0,y=p||0;if(c){var S=(v-w)*this.ratio+y,k=(b-w)*this.ratio+y,_=(h-y)/this.ratio+w,P=(m-y)/this.ratio+w,I=Math.max(h,S),E=Math.min(m,k),O=Math.max(v,_),R=Math.min(b,P);n=fp(n,I,E),r=fp(r,O,R)}else n=fp(n,h,m),r=fp(r,v,b);return{newWidth:n,newHeight:r}},t.prototype.setBoundingClientRect=function(){if(this.props.bounds==="parent"){var n=this.parentNode;if(n){var r=n.getBoundingClientRect();this.parentLeft=r.left,this.parentTop=r.top}}if(this.props.bounds&&typeof this.props.bounds!="string"){var o=this.props.bounds.getBoundingClientRect();this.targetLeft=o.left,this.targetTop=o.top}if(this.resizable){var s=this.resizable.getBoundingClientRect(),i=s.left,c=s.top,d=s.right,p=s.bottom;this.resizableLeft=i,this.resizableRight=d,this.resizableTop=c,this.resizableBottom=p}},t.prototype.onResizeStart=function(n,r){if(!(!this.resizable||!this.window)){var o=0,s=0;if(n.nativeEvent&&gY(n.nativeEvent)?(o=n.nativeEvent.clientX,s=n.nativeEvent.clientY):n.nativeEvent&&pp(n.nativeEvent)&&(o=n.nativeEvent.touches[0].clientX,s=n.nativeEvent.touches[0].clientY),this.props.onResizeStart&&this.resizable){var i=this.props.onResizeStart(n,r,this.resizable);if(i===!1)return}this.props.size&&(typeof this.props.size.height<"u"&&this.props.size.height!==this.state.height&&this.setState({height:this.props.size.height}),typeof this.props.size.width<"u"&&this.props.size.width!==this.state.width&&this.setState({width:this.props.size.width})),this.ratio=typeof this.props.lockAspectRatio=="number"?this.props.lockAspectRatio:this.size.width/this.size.height;var c,d=this.window.getComputedStyle(this.resizable);if(d.flexBasis!=="auto"){var p=this.parentNode;if(p){var h=this.window.getComputedStyle(p).flexDirection;this.flexDir=h.startsWith("row")?"row":"column",c=d.flexBasis}}this.setBoundingClientRect(),this.bindEvents();var m={original:{x:o,y:s,width:this.size.width,height:this.size.height},isResizing:!0,backgroundStyle:qs(qs({},this.state.backgroundStyle),{cursor:this.window.getComputedStyle(n.target).cursor||"auto"}),direction:r,flexBasis:c};this.setState(m)}},t.prototype.onMouseMove=function(n){var r=this;if(!(!this.state.isResizing||!this.resizable||!this.window)){if(this.window.TouchEvent&&pp(n))try{n.preventDefault(),n.stopPropagation()}catch{}var o=this.props,s=o.maxWidth,i=o.maxHeight,c=o.minWidth,d=o.minHeight,p=pp(n)?n.touches[0].clientX:n.clientX,h=pp(n)?n.touches[0].clientY:n.clientY,m=this.state,v=m.direction,b=m.original,w=m.width,y=m.height,S=this.getParentSize(),k=vY(S,this.window.innerWidth,this.window.innerHeight,s,i,c,d);s=k.maxWidth,i=k.maxHeight,c=k.minWidth,d=k.minHeight;var _=this.calculateNewSizeFromDirection(p,h),P=_.newHeight,I=_.newWidth,E=this.calculateNewMaxFromBoundary(s,i);this.props.snap&&this.props.snap.x&&(I=D4(I,this.props.snap.x,this.props.snapGap)),this.props.snap&&this.props.snap.y&&(P=D4(P,this.props.snap.y,this.props.snapGap));var O=this.calculateNewSizeFromAspectRatio(I,P,{width:E.maxWidth,height:E.maxHeight},{width:c,height:d});if(I=O.newWidth,P=O.newHeight,this.props.grid){var R=M4(I,this.props.grid[0]),M=M4(P,this.props.grid[1]),D=this.props.snapGap||0;I=D===0||Math.abs(R-I)<=D?R:I,P=D===0||Math.abs(M-P)<=D?M:P}var A={width:I-b.width,height:P-b.height};if(w&&typeof w=="string"){if(w.endsWith("%")){var L=I/S.width*100;I=L+"%"}else if(w.endsWith("vw")){var Q=I/this.window.innerWidth*100;I=Q+"vw"}else if(w.endsWith("vh")){var F=I/this.window.innerHeight*100;I=F+"vh"}}if(y&&typeof y=="string"){if(y.endsWith("%")){var L=P/S.height*100;P=L+"%"}else if(y.endsWith("vw")){var Q=P/this.window.innerWidth*100;P=Q+"vw"}else if(y.endsWith("vh")){var F=P/this.window.innerHeight*100;P=F+"vh"}}var V={width:this.createSizeForCssProperty(I,"width"),height:this.createSizeForCssProperty(P,"height")};this.flexDir==="row"?V.flexBasis=V.width:this.flexDir==="column"&&(V.flexBasis=V.height),_i.flushSync(function(){r.setState(V)}),this.props.onResize&&this.props.onResize(n,v,this.resizable,A)}},t.prototype.onMouseUp=function(n){var r=this.state,o=r.isResizing,s=r.direction,i=r.original;if(!(!o||!this.resizable)){var 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Ye=Ce[He],Pt=Ye[0],Et=Ye[1];if(ft.overrideExisting||!(Pt in ut.endpointDefinitions)){ut.endpointDefinitions[Pt]=Et;for(var Nt=0,qt=Ht;Nt<qt.length;Nt++)qt[Nt].injectEndpoint(Pt,Et)}}return ot},enhanceEndpoints:function(ft){var xt=ft.addTagTypes,He=ft.endpoints;if(xt)for(var Ce=0,Ye=xt;Ce<Ye.length;Ce++){var Pt=Ye[Ce];me.tagTypes.includes(Pt)||me.tagTypes.push(Pt)}if(He)for(var Et=0,Nt=Object.entries(He);Et<Nt.length;Et++){var qt=Nt[Et],tn=qt[0],en=qt[1];typeof en=="function"?en(ut.endpointDefinitions[tn]):Object.assign(ut.endpointDefinitions[tn]||{},en)}return ot}},Ht=J.map(function(ft){return ft.init(ot,me,ut)});return ot.injectEndpoints({endpoints:he.endpoints})}}function dt(){return function(){throw new Error("When using `fakeBaseQuery`, all queries & mutations must use the `queryFn` definition syntax.")}}var zt,cr=I(Lo),pn=function(J){var ee=J.reducerPath,he=J.api,_e=J.context,me=J.internalState,ut=he.internalActions,ot=ut.removeQueryResult,Ht=ut.unsubscribeQueryResult;function ft(Ce){var Ye=me.currentSubscriptions[Ce];return!!Ye&&!function(Pt){for(var Et in Pt)return!1;return!0}(Ye)}var xt={};function He(Ce,Ye,Pt,Et){var Nt,qt=_e.endpointDefinitions[Ye],tn=(Nt=qt==null?void 0:qt.keepUnusedDataFor)!=null?Nt:Et.keepUnusedDataFor;if(tn!==1/0){var en=Math.max(0,Math.min(tn,2147482647e-3));if(!ft(Ce)){var Ut=xt[Ce];Ut&&clearTimeout(Ut),xt[Ce]=setTimeout(function(){ft(Ce)||Pt.dispatch(ot({queryCacheKey:Ce})),delete xt[Ce]},1e3*en)}}}return function(Ce,Ye,Pt){var Et;if(Ht.match(Ce)){var Nt=Ye.getState()[ee];He(jn=Ce.payload.queryCacheKey,(Et=Nt.queries[jn])==null?void 0:Et.endpointName,Ye,Nt.config)}if(he.util.resetApiState.match(Ce))for(var qt=0,tn=Object.entries(xt);qt<tn.length;qt++){var en=tn[qt],Ut=en[0],Be=en[1];Be&&clearTimeout(Be),delete xt[Ut]}if(_e.hasRehydrationInfo(Ce)){Nt=Ye.getState()[ee];for(var yt=_e.extractRehydrationInfo(Ce).queries,Mt=0,Wt=Object.entries(yt);Mt<Wt.length;Mt++){var jn,Gt=Wt[Mt],un=Gt[1];He(jn=Gt[0],un==null?void 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Pt=Ce.queryCacheKey,Et=Ye.getState()[ee].queries[Pt];if(Et&&Et.status!==t.uninitialized){var Nt=He(ut.currentSubscriptions[Pt]);if(Number.isFinite(Nt)){var qt=ot[Pt];qt!=null&&qt.timeout&&(clearTimeout(qt.timeout),qt.timeout=void 0);var tn=Date.now()+Nt,en=ot[Pt]={nextPollTimestamp:tn,pollingInterval:Nt,timeout:setTimeout(function(){en.timeout=void 0,Ye.dispatch(me(Et,Pt))},Nt)}}}}function ft(Ce,Ye){var Pt=Ce.queryCacheKey,Et=Ye.getState()[ee].queries[Pt];if(Et&&Et.status!==t.uninitialized){var Nt=He(ut.currentSubscriptions[Pt]);if(Number.isFinite(Nt)){var qt=ot[Pt],tn=Date.now()+Nt;(!qt||tn<qt.nextPollTimestamp)&&Ht({queryCacheKey:Pt},Ye)}else xt(Pt)}}function xt(Ce){var Ye=ot[Ce];Ye!=null&&Ye.timeout&&clearTimeout(Ye.timeout),delete ot[Ce]}function He(Ce){Ce===void 0&&(Ce={});var Ye=Number.POSITIVE_INFINITY;for(var Pt in Ce)Ce[Pt].pollingInterval&&(Ye=Math.min(Ce[Pt].pollingInterval,Ye));return Ye}return function(Ce,Ye){(_e.internalActions.updateSubscriptionOptions.match(Ce)||_e.internalActions.unsubscribeQueryResult.match(Ce))&&ft(Ce.payload,Ye),(he.pending.match(Ce)||he.rejected.match(Ce)&&Ce.meta.condition)&&ft(Ce.meta.arg,Ye),(he.fulfilled.match(Ce)||he.rejected.match(Ce)&&!Ce.meta.condition)&&Ht(Ce.meta.arg,Ye),_e.util.resetApiState.match(Ce)&&function(){for(var Pt=0,Et=Object.keys(ot);Pt<Et.length;Pt++)xt(Et[Pt])}()}},Fn=I(Lo),Hn=new Error("Promise never resolved before cacheEntryRemoved."),Wn=function(J){var ee=J.api,he=J.reducerPath,_e=J.context,me=J.queryThunk,ut=J.mutationThunk,ot=(0,Fn.isAsyncThunkAction)(me),Ht=(0,Fn.isAsyncThunkAction)(ut),ft=(0,Fn.isFulfilled)(me,ut),xt={};function He(Ce,Ye,Pt,Et,Nt){var qt=_e.endpointDefinitions[Ce],tn=qt==null?void 0:qt.onCacheEntryAdded;if(tn){var en={},Ut=new Promise(function(Gt){en.cacheEntryRemoved=Gt}),Be=Promise.race([new Promise(function(Gt){en.valueResolved=Gt}),Ut.then(function(){throw Hn})]);Be.catch(function(){}),xt[Pt]=en;var yt=ee.endpoints[Ce].select(qt.type===U.query?Ye:Pt),Mt=Et.dispatch(function(Gt,un,sn){return sn}),Wt=k(S({},Et),{getCacheEntry:function(){return yt(Et.getState())},requestId:Nt,extra:Mt,updateCachedData:qt.type===U.query?function(Gt){return Et.dispatch(ee.util.updateQueryData(Ce,Ye,Gt))}:void 0,cacheDataLoaded:Be,cacheEntryRemoved:Ut}),jn=tn(Ye,Wt);Promise.resolve(jn).catch(function(Gt){if(Gt!==Hn)throw Gt})}}return function(Ce,Ye,Pt){var Et=function(yt){return ot(yt)?yt.meta.arg.queryCacheKey:Ht(yt)?yt.meta.requestId:ee.internalActions.removeQueryResult.match(yt)?yt.payload.queryCacheKey:ee.internalActions.removeMutationResult.match(yt)?Se(yt.payload):""}(Ce);if(me.pending.match(Ce)){var Nt=Pt[he].queries[Et],qt=Ye.getState()[he].queries[Et];!Nt&&qt&&He(Ce.meta.arg.endpointName,Ce.meta.arg.originalArgs,Et,Ye,Ce.meta.requestId)}else 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wt,Bt,mt,rt,Re,Ie,De,We,Ze,Dt,Rt,Ve,nn,xn=st.signal,hn=st.abort,gr=st.rejectWithValue,Xn=st.fulfillWithValue,gn=st.dispatch,Vn=st.getState,ao=st.extra;return r(this,function(fn){switch(fn.label){case 0:wt=mr[St.endpointName],fn.label=1;case 1:return fn.trys.push([1,8,,13]),Bt=kt,mt=void 0,rt={signal:xn,abort:hn,dispatch:gn,getState:Vn,extra:ao,endpoint:St.endpointName,type:St.type,forced:St.type==="query"?Sn(St,Vn()):void 0},(Re=St.type==="query"?St[xe]:void 0)?(mt=Re(),[3,6]):[3,2];case 2:return wt.query?[4,Zn(wt.query(St.originalArgs),rt,wt.extraOptions)]:[3,4];case 3:return mt=fn.sent(),wt.transformResponse&&(Bt=wt.transformResponse),[3,6];case 4:return[4,wt.queryFn(St.originalArgs,rt,wt.extraOptions,function($n){return Zn($n,rt,wt.extraOptions)})];case 5:mt=fn.sent(),fn.label=6;case 6:if(mt.error)throw new q(mt.error,mt.meta);return Ie=Xn,[4,Bt(mt.data,mt.meta,St.originalArgs)];case 7:return[2,Ie.apply(void 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qe;return(qe={startedTimeStamp:Date.now()})[$e.SHOULD_AUTOBATCH]=!0,qe},condition:function(qe,Ot){var St,st,wt,Bt=(0,Ot.getState)(),mt=(st=(St=Bt[Rn])==null?void 0:St.queries)==null?void 0:st[qe.queryCacheKey],rt=mt==null?void 0:mt.fulfilledTimeStamp,Re=qe.originalArgs,Ie=mt==null?void 0:mt.originalArgs,De=mr[qe.endpointName];return!(!de(qe)&&((mt==null?void 0:mt.status)==="pending"||!Sn(qe,Bt)&&(!oe(De)||!((wt=De==null?void 0:De.forceRefetch)!=null&&wt.call(De,{currentArg:Re,previousArg:Ie,endpointState:mt,state:Bt})))&&rt))},dispatchConditionRejection:!0}),bn=(0,$e.createAsyncThunk)(Rn+"/executeMutation",dn,{getPendingMeta:function(){var qe;return(qe={startedTimeStamp:Date.now()})[$e.SHOULD_AUTOBATCH]=!0,qe}});function yn(qe){return function(Ot){var St,st;return((st=(St=Ot==null?void 0:Ot.meta)==null?void 0:St.arg)==null?void 0:st.endpointName)===qe}}return{queryThunk:En,mutationThunk:bn,prefetch:function(qe,Ot,St){return function(st,wt){var Bt=function(De){return"force"in De}(St)&&St.force,mt=function(De){return"ifOlderThan"in De}(St)&&St.ifOlderThan,rt=function(De){return De===void 0&&(De=!0),Nn.endpoints[qe].initiate(Ot,{forceRefetch:De})},Re=Nn.endpoints[qe].select(Ot)(wt());if(Bt)st(rt());else if(mt){var Ie=Re==null?void 0:Re.fulfilledTimeStamp;if(!Ie)return void st(rt());(Number(new Date)-Number(new Date(Ie)))/1e3>=mt&&st(rt())}else st(rt(!1))}},updateQueryData:function(qe,Ot,St){return function(st,wt){var Bt,mt,rt=Nn.endpoints[qe].select(Ot)(wt()),Re={patches:[],inversePatches:[],undo:function(){return st(Nn.util.patchQueryData(qe,Ot,Re.inversePatches))}};if(rt.status===t.uninitialized)return Re;if("data"in rt)if((0,Ee.isDraftable)(rt.data)){var Ie=(0,Ee.produceWithPatches)(rt.data,St),De=Ie[2];(Bt=Re.patches).push.apply(Bt,Ie[1]),(mt=Re.inversePatches).push.apply(mt,De)}else{var We=St(rt.data);Re.patches.push({op:"replace",path:[],value:We}),Re.inversePatches.push({op:"replace",path:[],value:rt.data})}return st(Nn.util.patchQueryData(qe,Ot,Re.patches)),Re}},upsertQueryData:function(qe,Ot,St){return function(st){var wt;return st(Nn.endpoints[qe].initiate(Ot,((wt={subscribe:!1,forceRefetch:!0})[xe]=function(){return{data:St}},wt)))}},patchQueryData:function(qe,Ot,St){return function(st){st(Nn.internalActions.queryResultPatched({queryCacheKey:Tn({queryArgs:Ot,endpointDefinition:mr[qe],endpointName:qe}),patches:St}))}},buildMatchThunkActions:function(qe,Ot){return{matchPending:(0,Te.isAllOf)((0,Te.isPending)(qe),yn(Ot)),matchFulfilled:(0,Te.isAllOf)((0,Te.isFulfilled)(qe),yn(Ot)),matchRejected:(0,Te.isAllOf)((0,Te.isRejected)(qe),yn(Ot))}}}}({baseQuery:_e,reducerPath:me,context:he,api:J,serializeQueryArgs:ut}),Ye=Ce.queryThunk,Pt=Ce.mutationThunk,Et=Ce.patchQueryData,Nt=Ce.updateQueryData,qt=Ce.upsertQueryData,tn=Ce.prefetch,en=Ce.buildMatchThunkActions,Ut=function(It){var In=It.reducerPath,Rn=It.queryThunk,Zn=It.mutationThunk,mr=It.context,Tn=mr.endpointDefinitions,Nn=mr.apiUid,dn=mr.extractRehydrationInfo,Sn=mr.hasRehydrationInfo,En=It.assertTagType,bn=It.config,yn=(0,ge.createAction)(In+"/resetApiState"),qe=(0,ge.createSlice)({name:In+"/queries",initialState:_t,reducers:{removeQueryResult:{reducer:function(rt,Re){delete rt[Re.payload.queryCacheKey]},prepare:(0,ge.prepareAutoBatched)()},queryResultPatched:function(rt,Re){var Ie=Re.payload,De=Ie.patches;bt(rt,Ie.queryCacheKey,function(We){We.data=(0,vt.applyPatches)(We.data,De.concat())})}},extraReducers:function(rt){rt.addCase(Rn.pending,function(Re,Ie){var De,We=Ie.meta,Ze=Ie.meta.arg,Dt=de(Ze);(Ze.subscribe||Dt)&&(Re[De=Ze.queryCacheKey]!=null||(Re[De]={status:t.uninitialized,endpointName:Ze.endpointName})),bt(Re,Ze.queryCacheKey,function(Rt){Rt.status=t.pending,Rt.requestId=Dt&&Rt.requestId?Rt.requestId:We.requestId,Ze.originalArgs!==void 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De=Ie.meta,We=De.condition,Ze=De.requestId,Dt=Ie.error,Rt=Ie.payload;bt(Re,De.arg.queryCacheKey,function(Ve){if(!We){if(Ve.requestId!==Ze)return;Ve.status=t.rejected,Ve.error=Rt??Dt}})}).addMatcher(Sn,function(Re,Ie){for(var De=dn(Ie).queries,We=0,Ze=Object.entries(De);We<Ze.length;We++){var Dt=Ze[We],Rt=Dt[1];(Rt==null?void 0:Rt.status)!==t.fulfilled&&(Rt==null?void 0:Rt.status)!==t.rejected||(Re[Dt[0]]=Rt)}})}}),Ot=(0,ge.createSlice)({name:In+"/mutations",initialState:_t,reducers:{removeMutationResult:{reducer:function(rt,Re){var Ie=Se(Re.payload);Ie in rt&&delete rt[Ie]},prepare:(0,ge.prepareAutoBatched)()}},extraReducers:function(rt){rt.addCase(Zn.pending,function(Re,Ie){var De=Ie.meta,We=De.requestId,Ze=De.arg,Dt=De.startedTimeStamp;Ze.track&&(Re[Se(Ie.meta)]={requestId:We,status:t.pending,endpointName:Ze.endpointName,startedTimeStamp:Dt})}).addCase(Zn.fulfilled,function(Re,Ie){var De=Ie.payload,We=Ie.meta;We.arg.track&&Me(Re,We,function(Ze){Ze.requestId===We.requestId&&(Ze.status=t.fulfilled,Ze.data=De,Ze.fulfilledTimeStamp=We.fulfilledTimeStamp)})}).addCase(Zn.rejected,function(Re,Ie){var De=Ie.payload,We=Ie.error,Ze=Ie.meta;Ze.arg.track&&Me(Re,Ze,function(Dt){Dt.requestId===Ze.requestId&&(Dt.status=t.rejected,Dt.error=De??We)})}).addMatcher(Sn,function(Re,Ie){for(var De=dn(Ie).mutations,We=0,Ze=Object.entries(De);We<Ze.length;We++){var Dt=Ze[We],Rt=Dt[0],Ve=Dt[1];(Ve==null?void 0:Ve.status)!==t.fulfilled&&(Ve==null?void 0:Ve.status)!==t.rejected||Rt===(Ve==null?void 0:Ve.requestId)||(Re[Rt]=Ve)}})}}),St=(0,ge.createSlice)({name:In+"/invalidation",initialState:_t,reducers:{},extraReducers:function(rt){rt.addCase(qe.actions.removeQueryResult,function(Re,Ie){for(var De=Ie.payload.queryCacheKey,We=0,Ze=Object.values(Re);We<Ze.length;We++)for(var Dt=0,Rt=Object.values(Ze[We]);Dt<Rt.length;Dt++){var Ve=Rt[Dt],nn=Ve.indexOf(De);nn!==-1&&Ve.splice(nn,1)}}).addMatcher(Sn,function(Re,Ie){for(var De,We,Ze,Dt,Rt=dn(Ie).provided,Ve=0,nn=Object.entries(Rt);Ve<nn.length;Ve++)for(var xn=nn[Ve],hn=xn[0],gr=0,Xn=Object.entries(xn[1]);gr<Xn.length;gr++)for(var gn=Xn[gr],Vn=gn[0],ao=gn[1],fn=(Dt=(We=(De=Re[hn])!=null?De:Re[hn]={})[Ze=Vn||"__internal_without_id"])!=null?Dt:We[Ze]=[],$n=0,Gr=ao;$n<Gr.length;$n++){var Rr=Gr[$n];fn.includes(Rr)||fn.push(Rr)}}).addMatcher((0,ge.isAnyOf)((0,ge.isFulfilled)(Rn),(0,ge.isRejectedWithValue)(Rn)),function(Re,Ie){for(var De,We,Ze,Dt,Rt=ct(Ie,"providesTags",Tn,En),Ve=Ie.meta.arg.queryCacheKey,nn=0,xn=Object.values(Re);nn<xn.length;nn++)for(var hn=0,gr=Object.values(xn[nn]);hn<gr.length;hn++){var Xn=gr[hn],gn=Xn.indexOf(Ve);gn!==-1&&Xn.splice(gn,1)}for(var Vn=0,ao=Rt;Vn<ao.length;Vn++){var fn=ao[Vn],$n=fn.type,Gr=fn.id,Rr=(Dt=(We=(De=Re[$n])!=null?De:Re[$n]={})[Ze=Gr||"__internal_without_id"])!=null?Dt:We[Ze]=[];Rr.includes(Ve)||Rr.push(Ve)}})}}),st=(0,ge.createSlice)({name:In+"/subscriptions",initialState:_t,reducers:{updateSubscriptionOptions:function(rt,Re){},unsubscribeQueryResult:function(rt,Re){},internal_probeSubscription:function(rt,Re){}}}),wt=(0,ge.createSlice)({name:In+"/internalSubscriptions",initialState:_t,reducers:{subscriptionsUpdated:{reducer:function(rt,Re){return(0,vt.applyPatches)(rt,Re.payload)},prepare:(0,ge.prepareAutoBatched)()}}}),Bt=(0,ge.createSlice)({name:In+"/config",initialState:S({online:typeof navigator>"u"||navigator.onLine===void 0||navigator.onLine,focused:typeof document>"u"||document.visibilityState!=="hidden",middlewareRegistered:!1},bn),reducers:{middlewareRegistered:function(rt,Re){rt.middlewareRegistered=rt.middlewareRegistered!=="conflict"&&Nn===Re.payload||"conflict"}},extraReducers:function(rt){rt.addCase(fe,function(Re){Re.online=!0}).addCase(ie,function(Re){Re.online=!1}).addCase(Y,function(Re){Re.focused=!0}).addCase(ae,function(Re){Re.focused=!1}).addMatcher(Sn,function(Re){return S({},Re)})}}),mt=(0,ge.combineReducers)({queries:qe.reducer,mutations:Ot.reducer,provided:St.reducer,subscriptions:wt.reducer,config:Bt.reducer});return{reducer:function(rt,Re){return mt(yn.match(Re)?void 0:rt,Re)},actions:k(S(S(S(S(S({},Bt.actions),qe.actions),st.actions),wt.actions),Ot.actions),{unsubscribeMutationResult:Ot.actions.removeMutationResult,resetApiState:yn})}}({context:he,queryThunk:Ye,mutationThunk:Pt,reducerPath:me,assertTagType:He,config:{refetchOnFocus:ft,refetchOnReconnect:xt,refetchOnMountOrArgChange:Ht,keepUnusedDataFor:ot,reducerPath:me}}),Be=Ut.reducer,yt=Ut.actions;$r(J.util,{patchQueryData:Et,updateQueryData:Nt,upsertQueryData:qt,prefetch:tn,resetApiState:yt.resetApiState}),$r(J.internalActions,yt);var Mt=function(It){var In=It.reducerPath,Rn=It.queryThunk,Zn=It.api,mr=It.context,Tn=mr.apiUid,Nn={invalidateTags:(0,cr.createAction)(In+"/invalidateTags")},dn=[Vr,pn,Wr,xr,Wn,Do];return{middleware:function(En){var bn=!1,yn=k(S({},It),{internalState:{currentSubscriptions:{}},refetchQuery:Sn}),qe=dn.map(function(st){return st(yn)}),Ot=function(st){var wt=st.api,Bt=st.queryThunk,mt=st.internalState,rt=wt.reducerPath+"/subscriptions",Re=null,Ie=!1,De=wt.internalActions,We=De.updateSubscriptionOptions,Ze=De.unsubscribeQueryResult;return function(Dt,Rt){var Ve,nn;if(Re||(Re=JSON.parse(JSON.stringify(mt.currentSubscriptions))),wt.util.resetApiState.match(Dt))return Re=mt.currentSubscriptions={},[!0,!1];if(wt.internalActions.internal_probeSubscription.match(Dt)){var xn=Dt.payload;return[!1,!!((Ve=mt.currentSubscriptions[xn.queryCacheKey])!=null&&Ve[xn.requestId])]}var hn=function(gn,Vn){var ao,fn,$n,Gr,Rr,Qa,nf,Ao,va;if(We.match(Vn)){var zs=Vn.payload,ba=zs.queryCacheKey,io=zs.requestId;return(ao=gn==null?void 0:gn[ba])!=null&&ao[io]&&(gn[ba][io]=zs.options),!0}if(Ze.match(Vn)){var lo=Vn.payload;return io=lo.requestId,gn[ba=lo.queryCacheKey]&&delete gn[ba][io],!0}if(wt.internalActions.removeQueryResult.match(Vn))return delete gn[Vn.payload.queryCacheKey],!0;if(Bt.pending.match(Vn)){var co=Vn.meta;if(io=co.requestId,(Yr=co.arg).subscribe)return(Wo=($n=gn[fn=Yr.queryCacheKey])!=null?$n:gn[fn]={})[io]=(Rr=(Gr=Yr.subscriptionOptions)!=null?Gr:Wo[io])!=null?Rr:{},!0}if(Bt.rejected.match(Vn)){var Wo,To=Vn.meta,Yr=To.arg;if(io=To.requestId,To.condition&&Yr.subscribe)return(Wo=(nf=gn[Qa=Yr.queryCacheKey])!=null?nf:gn[Qa]={})[io]=(va=(Ao=Yr.subscriptionOptions)!=null?Ao:Wo[io])!=null?va:{},!0}return!1}(mt.currentSubscriptions,Dt);if(hn){Ie||(ds(function(){var gn=JSON.parse(JSON.stringify(mt.currentSubscriptions)),Vn=(0,Ur.produceWithPatches)(Re,function(){return gn});Rt.next(wt.internalActions.subscriptionsUpdated(Vn[1])),Re=gn,Ie=!1}),Ie=!0);var gr=!!((nn=Dt.type)!=null&&nn.startsWith(rt)),Xn=Bt.rejected.match(Dt)&&Dt.meta.condition&&!!Dt.meta.arg.subscribe;return[!gr&&!Xn,!1]}return[!0,!1]}}(yn),St=function(st){var wt=st.reducerPath,Bt=st.context,mt=st.refetchQuery,rt=st.internalState,Re=st.api.internalActions.removeQueryResult;function Ie(De,We){var Ze=De.getState()[wt],Dt=Ze.queries,Rt=rt.currentSubscriptions;Bt.batch(function(){for(var Ve=0,nn=Object.keys(Rt);Ve<nn.length;Ve++){var xn=nn[Ve],hn=Dt[xn],gr=Rt[xn];gr&&hn&&(Object.values(gr).some(function(Xn){return Xn[We]===!0})||Object.values(gr).every(function(Xn){return Xn[We]===void 0})&&Ze.config[We])&&(Object.keys(gr).length===0?De.dispatch(Re({queryCacheKey:xn})):hn.status!==t.uninitialized&&De.dispatch(mt(hn,xn)))}})}return function(De,We){Y.match(De)&&Ie(We,"refetchOnFocus"),fe.match(De)&&Ie(We,"refetchOnReconnect")}}(yn);return function(st){return function(wt){bn||(bn=!0,En.dispatch(Zn.internalActions.middlewareRegistered(Tn)));var Bt,mt=k(S({},En),{next:st}),rt=En.getState(),Re=Ot(wt,mt,rt),Ie=Re[1];if(Bt=Re[0]?st(wt):Ie,En.getState()[In]&&(St(wt,mt,rt),function(Ze){return!!Ze&&typeof Ze.type=="string"&&Ze.type.startsWith(In+"/")}(wt)||mr.hasRehydrationInfo(wt)))for(var De=0,We=qe;De<We.length;De++)(0,We[De])(wt,mt,rt);return Bt}}},actions:Nn};function Sn(En,bn,yn){return yn===void 0&&(yn={}),Rn(S({type:"query",endpointName:En.endpointName,originalArgs:En.originalArgs,subscribe:!1,forceRefetch:!0,queryCacheKey:bn},yn))}}({reducerPath:me,context:he,queryThunk:Ye,mutationThunk:Pt,api:J,assertTagType:He}),Wt=Mt.middleware;$r(J.util,Mt.actions),$r(J,{reducer:Be,middleware:Wt});var jn=function(It){var In=It.serializeQueryArgs,Rn=It.reducerPath,Zn=function(dn){return $t},mr=function(dn){return Lt};return{buildQuerySelector:function(dn,Sn){return function(En){var bn=In({queryArgs:En,endpointDefinition:Sn,endpointName:dn});return(0,re.createSelector)(En===Tt?Zn:function(yn){var qe,Ot,St;return(St=(Ot=(qe=Nn(yn))==null?void 0:qe.queries)==null?void 0:Ot[bn])!=null?St:$t},Tn)}},buildMutationSelector:function(){return function(dn){var Sn,En;return En=typeof dn=="object"?(Sn=Se(dn))!=null?Sn:Tt:dn,(0,re.createSelector)(En===Tt?mr:function(bn){var yn,qe,Ot;return(Ot=(qe=(yn=Nn(bn))==null?void 0:yn.mutations)==null?void 0:qe[En])!=null?Ot:Lt},Tn)}},selectInvalidatedBy:function(dn,Sn){for(var En,bn=dn[Rn],yn=new Set,qe=0,Ot=Sn.map(le);qe<Ot.length;qe++){var St=Ot[qe],st=bn.provided[St.type];if(st)for(var wt=0,Bt=(En=St.id!==void 0?st[St.id]:O(Object.values(st)))!=null?En:[];wt<Bt.length;wt++)yn.add(Bt[wt])}return O(Array.from(yn.values()).map(function(mt){var rt=bn.queries[mt];return rt?[{queryCacheKey:mt,endpointName:rt.endpointName,originalArgs:rt.originalArgs}]:[]}))}};function Tn(dn){return S(S({},dn),{status:Sn=dn.status,isUninitialized:Sn===t.uninitialized,isLoading:Sn===t.pending,isSuccess:Sn===t.fulfilled,isError:Sn===t.rejected});var Sn}function Nn(dn){return dn[Rn]}}({serializeQueryArgs:ut,reducerPath:me}),Gt=jn.buildQuerySelector,un=jn.buildMutationSelector;$r(J.util,{selectInvalidatedBy:jn.selectInvalidatedBy});var sn=function(It){var In=It.serializeQueryArgs,Rn=It.queryThunk,Zn=It.mutationThunk,mr=It.api,Tn=It.context,Nn=new Map,dn=new Map,Sn=mr.internalActions,En=Sn.unsubscribeQueryResult,bn=Sn.removeMutationResult,yn=Sn.updateSubscriptionOptions;return{buildInitiateQuery:function(qe,Ot){var St=function(st,wt){var Bt=wt===void 0?{}:wt,mt=Bt.subscribe,rt=mt===void 0||mt,Re=Bt.forceRefetch,Ie=Bt.subscriptionOptions,De=Bt[xe];return function(We,Ze){var Dt,Rt,Ve=In({queryArgs:st,endpointDefinition:Ot,endpointName:qe}),nn=Rn(((Dt={type:"query",subscribe:rt,forceRefetch:Re,subscriptionOptions:Ie,endpointName:qe,originalArgs:st,queryCacheKey:Ve})[xe]=De,Dt)),xn=mr.endpoints[qe].select(st),hn=We(nn),gr=xn(Ze()),Xn=hn.requestId,gn=hn.abort,Vn=gr.requestId!==Xn,ao=(Rt=Nn.get(We))==null?void 0:Rt[Ve],fn=function(){return xn(Ze())},$n=Object.assign(De?hn.then(fn):Vn&&!ao?Promise.resolve(gr):Promise.all([ao,hn]).then(fn),{arg:st,requestId:Xn,subscriptionOptions:Ie,queryCacheKey:Ve,abort:gn,unwrap:function(){return E(this,null,function(){var Rr;return r(this,function(Qa){switch(Qa.label){case 0:return[4,$n];case 1:if((Rr=Qa.sent()).isError)throw Rr.error;return[2,Rr.data]}})})},refetch:function(){return We(St(st,{subscribe:!1,forceRefetch:!0}))},unsubscribe:function(){rt&&We(En({queryCacheKey:Ve,requestId:Xn}))},updateSubscriptionOptions:function(Rr){$n.subscriptionOptions=Rr,We(yn({endpointName:qe,requestId:Xn,queryCacheKey:Ve,options:Rr}))}});if(!ao&&!Vn&&!De){var Gr=Nn.get(We)||{};Gr[Ve]=$n,Nn.set(We,Gr),$n.then(function(){delete Gr[Ve],Object.keys(Gr).length||Nn.delete(We)})}return $n}};return St},buildInitiateMutation:function(qe){return function(Ot,St){var st=St===void 0?{}:St,wt=st.track,Bt=wt===void 0||wt,mt=st.fixedCacheKey;return function(rt,Re){var Ie=Zn({type:"mutation",endpointName:qe,originalArgs:Ot,track:Bt,fixedCacheKey:mt}),De=rt(Ie),We=De.requestId,Ze=De.abort,Dt=De.unwrap,Rt=De.unwrap().then(function(hn){return{data:hn}}).catch(function(hn){return{error:hn}}),Ve=function(){rt(bn({requestId:We,fixedCacheKey:mt}))},nn=Object.assign(Rt,{arg:De.arg,requestId:We,abort:Ze,unwrap:Dt,unsubscribe:Ve,reset:Ve}),xn=dn.get(rt)||{};return dn.set(rt,xn),xn[We]=nn,nn.then(function(){delete xn[We],Object.keys(xn).length||dn.delete(rt)}),mt&&(xn[mt]=nn,nn.then(function(){xn[mt]===nn&&(delete xn[mt],Object.keys(xn).length||dn.delete(rt))})),nn}}},getRunningQueryThunk:function(qe,Ot){return function(St){var st,wt=In({queryArgs:Ot,endpointDefinition:Tn.endpointDefinitions[qe],endpointName:qe});return(st=Nn.get(St))==null?void 0:st[wt]}},getRunningMutationThunk:function(qe,Ot){return function(St){var st;return(st=dn.get(St))==null?void 0:st[Ot]}},getRunningQueriesThunk:function(){return function(qe){return Object.values(Nn.get(qe)||{}).filter(ke)}},getRunningMutationsThunk:function(){return function(qe){return Object.values(dn.get(qe)||{}).filter(ke)}},getRunningOperationPromises:function(){var qe=function(Ot){return Array.from(Ot.values()).flatMap(function(St){return St?Object.values(St):[]})};return o(o([],qe(Nn)),qe(dn)).filter(ke)},removalWarning:function(){throw new Error(`This method had to be removed due to a conceptual bug in RTK.
+       Please see https://github.com/reduxjs/redux-toolkit/pull/2481 for details.
+       See https://redux-toolkit.js.org/rtk-query/usage/server-side-rendering for new guidance on SSR.`)}}}({queryThunk:Ye,mutationThunk:Pt,api:J,serializeQueryArgs:ut,context:he}),Or=sn.buildInitiateQuery,Jn=sn.buildInitiateMutation;return $r(J.util,{getRunningOperationPromises:sn.getRunningOperationPromises,getRunningOperationPromise:sn.removalWarning,getRunningMutationThunk:sn.getRunningMutationThunk,getRunningMutationsThunk:sn.getRunningMutationsThunk,getRunningQueryThunk:sn.getRunningQueryThunk,getRunningQueriesThunk:sn.getRunningQueriesThunk}),{name:fs,injectEndpoint:function(It,In){var Rn,Zn=J;(Rn=Zn.endpoints)[It]!=null||(Rn[It]={}),oe(In)?$r(Zn.endpoints[It],{name:It,select:Gt(It,In),initiate:Or(It,In)},en(Ye,It)):In.type===U.mutation&&$r(Zn.endpoints[It],{name:It,select:un(),initiate:Jn(It)},en(Pt,It))}}}}},Ls=Xe(ga())})(FE);BE.exports=FE;var ro=BE.exports;const RJ=e=>{const{boardToDelete:t,setBoardToDelete:n}=e,{t:r}=ye(),o=B(_=>_.config.canRestoreDeletedImagesFromBin),{currentData:s,isFetching:i}=r7((t==null?void 0:t.board_id)??ro.skipToken),c=f.useMemo(()=>be([at],_=>{const P=(s??[]).map(E=>L_(_,E));return{imageUsageSummary:{isInitialImage:Pa(P,E=>E.isInitialImage),isCanvasImage:Pa(P,E=>E.isCanvasImage),isNodesImage:Pa(P,E=>E.isNodesImage),isControlNetImage:Pa(P,E=>E.isControlNetImage)}}}),[s]),[d,{isLoading:p}]=o7(),[h,{isLoading:m}]=s7(),{imageUsageSummary:v}=B(c),b=f.useCallback(()=>{t&&(d(t.board_id),n(void 0))},[t,d,n]),w=f.useCallback(()=>{t&&(h(t.board_id),n(void 0))},[t,h,n]),y=f.useCallback(()=>{n(void 0)},[n]),S=f.useRef(null),k=f.useMemo(()=>m||p||i,[m,p,i]);return t?a.jsx(zd,{isOpen:!!t,onClose:y,leastDestructiveRef:S,isCentered:!0,children:a.jsx(za,{children:a.jsxs(Bd,{children:[a.jsxs(La,{fontSize:"lg",fontWeight:"bold",children:["Delete 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e=te();return f.useCallback((n,r)=>{e(Y7({controlNetId:n,changes:r}))},[e])};function Ns(e){return a.jsx(H,{sx:{flexDirection:"column",gap:2},children:e.children})}const Tk=ls.canny_image_processor.default,ene=e=>{const{controlNetId:t,processorNode:n,isEnabled:r}=e,{low_threshold:o,high_threshold:s}=n,i=B(kr),c=Ts(),d=f.useCallback(v=>{c(t,{low_threshold:v})},[t,c]),p=f.useCallback(()=>{c(t,{low_threshold:Tk.low_threshold})},[t,c]),h=f.useCallback(v=>{c(t,{high_threshold:v})},[t,c]),m=f.useCallback(()=>{c(t,{high_threshold:Tk.high_threshold})},[t,c]);return a.jsxs(Ns,{children:[a.jsx(jt,{isDisabled:i||!r,label:"Low Threshold",value:o,onChange:d,handleReset:p,withReset:!0,min:0,max:255,withInput:!0,withSliderMarks:!0}),a.jsx(jt,{isDisabled:i||!r,label:"High 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a.jsxs(Ns,{children:[a.jsx(jt,{label:"Detect Resolution",value:n,onChange:d,handleReset:m,withReset:!0,min:0,max:4096,withInput:!0,withSliderMarks:!0,isDisabled:i||!s}),a.jsx(jt,{label:"Image Resolution",value:r,onChange:p,handleReset:v,withReset:!0,min:0,max:4096,withInput:!0,withSliderMarks:!0,isDisabled:i||!s}),a.jsx(yr,{label:"Scribble",isChecked:o,onChange:h,isDisabled:i||!s})]})},sne=f.memo(one),$k=ls.lineart_anime_image_processor.default,ane=e=>{const{controlNetId:t,processorNode:n,isEnabled:r}=e,{image_resolution:o,detect_resolution:s}=n,i=Ts(),c=B(kr),d=f.useCallback(v=>{i(t,{detect_resolution:v})},[t,i]),p=f.useCallback(v=>{i(t,{image_resolution:v})},[t,i]),h=f.useCallback(()=>{i(t,{detect_resolution:$k.detect_resolution})},[t,i]),m=f.useCallback(()=>{i(t,{image_resolution:$k.image_resolution})},[t,i]);return a.jsxs(Ns,{children:[a.jsx(jt,{label:"Detect 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a.jsxs(Ns,{children:[a.jsx(jt,{label:"a_mult",value:o,onChange:d,handleReset:h,withReset:!0,min:0,max:20,step:.01,withInput:!0,withSliderMarks:!0,isDisabled:c||!r}),a.jsx(jt,{label:"bg_th",value:s,onChange:p,handleReset:m,withReset:!0,min:0,max:20,step:.01,withInput:!0,withSliderMarks:!0,isDisabled:c||!r})]})},pne=f.memo(fne),jp=ls.mlsd_image_processor.default,hne=e=>{const{controlNetId:t,processorNode:n,isEnabled:r}=e,{image_resolution:o,detect_resolution:s,thr_d:i,thr_v:c}=n,d=Ts(),p=B(kr),h=f.useCallback(_=>{d(t,{detect_resolution:_})},[t,d]),m=f.useCallback(_=>{d(t,{image_resolution:_})},[t,d]),v=f.useCallback(_=>{d(t,{thr_d:_})},[t,d]),b=f.useCallback(_=>{d(t,{thr_v:_})},[t,d]),w=f.useCallback(()=>{d(t,{detect_resolution:jp.detect_resolution})},[t,d]),y=f.useCallback(()=>{d(t,{image_resolution:jp.image_resolution})},[t,d]),S=f.useCallback(()=>{d(t,{thr_d:jp.thr_d})},[t,d]),k=f.useCallback(()=>{d(t,{thr_v:jp.thr_v})},[t,d]);return a.jsxs(Ns,{children:[a.jsx(jt,{label:"Detect 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a.jsxs(Ns,{children:[a.jsx(jt,{label:"Detect Resolution",value:s,onChange:d,handleReset:h,withReset:!0,min:0,max:4096,withInput:!0,withSliderMarks:!0,isDisabled:c||!r}),a.jsx(jt,{label:"Image Resolution",value:o,onChange:p,handleReset:m,withReset:!0,min:0,max:4096,withInput:!0,withSliderMarks:!0,isDisabled:c||!r})]})},vne=f.memo(gne),Hk=ls.openpose_image_processor.default,bne=e=>{const{controlNetId:t,processorNode:n,isEnabled:r}=e,{image_resolution:o,detect_resolution:s,hand_and_face:i}=n,c=Ts(),d=B(kr),p=f.useCallback(w=>{c(t,{detect_resolution:w})},[t,c]),h=f.useCallback(w=>{c(t,{image_resolution:w})},[t,c]),m=f.useCallback(()=>{c(t,{detect_resolution:Hk.detect_resolution})},[t,c]),v=f.useCallback(()=>{c(t,{image_resolution:Hk.image_resolution})},[t,c]),b=f.useCallback(w=>{c(t,{hand_and_face:w.target.checked})},[t,c]);return a.jsxs(Ns,{children:[a.jsx(jt,{label:"Detect 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r.type==="canny_image_processor"?a.jsx(tne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="hed_image_processor"?a.jsx(sne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="lineart_image_processor"?a.jsx(cne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="content_shuffle_image_processor"?a.jsx(rne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="lineart_anime_image_processor"?a.jsx(ine,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="mediapipe_face_processor"?a.jsx(dne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="midas_depth_image_processor"?a.jsx(pne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="mlsd_image_processor"?a.jsx(mne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="normalbae_image_processor"?a.jsx(vne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="openpose_image_processor"?a.jsx(yne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="pidi_image_processor"?a.jsx(wne,{controlNetId:t,processorNode:r,isEnabled:n}):r.type==="zoe_depth_image_processor"?a.jsx(Cne,{controlNetId:t,processorNode:r,isEnabled:n}):null},_ne=f.memo(kne),Pne=e=>{const{controlNetId:t,isEnabled:n,shouldAutoConfig:r}=e.controlNet,o=te(),s=B(kr),i=f.useCallback(()=>{o(Q7({controlNetId:t}))},[t,o]);return a.jsx(yr,{label:"Auto configure processor","aria-label":"Auto configure processor",isChecked:r,onChange:i,isDisabled:s||!n})},jne=f.memo(Pne),Vk=e=>`${Math.round(e*100)}%`,Ine=e=>{const{beginStepPct:t,endStepPct:n,isEnabled:r,controlNetId:o}=e.controlNet,s=te(),i=f.useCallback(c=>{s(J7({controlNetId:o,beginStepPct:c[0]})),s(Z7({controlNetId:o,endStepPct:c[1]}))},[o,s]);return a.jsxs(go,{isDisabled:!r,children:[a.jsx(Bo,{children:"Begin / End Step Percentage"}),a.jsx(bi,{w:"100%",gap:2,alignItems:"center",children:a.jsxs(K6,{"aria-label":["Begin Step %","End Step %"],value:[t,n],onChange:i,min:0,max:1,step:.01,minStepsBetweenThumbs:5,isDisabled:!r,children:[a.jsx(X6,{children:a.jsx(Y6,{})}),a.jsx(vn,{label:Vk(t),placement:"top",hasArrow:!0,children:a.jsx(l1,{index:0})}),a.jsx(vn,{label:Vk(n),placement:"top",hasArrow:!0,children:a.jsx(l1,{index:1})}),a.jsx(Np,{value:0,sx:{insetInlineStart:"0 !important",insetInlineEnd:"unset 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t=te(),{controlNetId:n,isEnabled:r,processorNode:o}=e.controlNet,s=B(kr),i=B(Mne),c=f.useCallback(d=>{t(tM({controlNetId:n,processorType:d}))},[n,t]);return a.jsx(ar,{label:"Processor",value:o.type??"canny_image_processor",data:i,onChange:c,disabled:s||!r})},Ane=f.memo(Dne),Tne=[{label:"Resize",value:"just_resize"},{label:"Crop",value:"crop_resize"},{label:"Fill",value:"fill_resize"}];function Nne(e){const{resizeMode:t,isEnabled:n,controlNetId:r}=e.controlNet,o=te(),s=f.useCallback(i=>{o(nM({controlNetId:r,resizeMode:i}))},[r,o]);return a.jsx(Fr,{disabled:!n,label:"Resize Mode",data:Tne,value:String(t),onChange:s})}const $ne=e=>{const{controlNet:t}=e,{controlNetId:n}=t,r=te(),o=be(at,({controlNet:v})=>{const 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u.flags&256?(u.flags&=-257,x=Wg(Error(i(422))),bf(l,u,N,x)):u.memoizedState!==null?(u.child=l.child,u.flags|=128,null):(j=x.fallback,C=u.mode,x=Lf({mode:"visible",children:x.children},C,0,null),j=Fi(j,C,N,null),j.flags|=2,x.return=u,j.return=u,x.sibling=j,u.child=x,u.mode&1&&Il(u,l.child,null,N),u.child.memoizedState=Kg(N),u.memoizedState=qg,j);if(!(u.mode&1))return bf(l,u,N,null);if($s(C))return x=fs(C).digest,j=Error(i(419)),x=Wg(j,x,void 0),bf(l,u,N,x);if(g=(N&l.childLanes)!==0,yo||g){if(x=zr,x!==null){switch(N&-N){case 4:C=2;break;case 16:C=8;break;case 64:case 128:case 256:case 512:case 1024:case 2048:case 4096:case 8192:case 16384:case 32768:case 65536:case 131072:case 262144:case 524288:case 1048576:case 2097152:case 4194304:case 8388608:case 16777216:case 33554432:case 67108864:C=32;break;case 536870912:C=268435456;break;default:C=0}C=C&(x.suspendedLanes|N)?0:C,C!==0&&C!==j.retryLane&&(j.retryLane=C,Bs(l,C),Ko(x,l,C,-1))}return m0(),x=Wg(Error(i(421))),bf(l,u,N,x)}return $r(C)?(u.flags|=128,u.child=l.child,u=oR.bind(null,l),ga(C,u),null):(l=j.treeContext,ke&&(Vo=he(C),No=u,er=!0,ps=null,tu=!1,l!==null&&(lo[co++]=To,lo[co++]=Yr,lo[co++]=Wo,To=l.id,Yr=l.overflow,Wo=u)),u=Xg(u,x.children),u.flags|=4096,u)}function b2(l,u,g){l.lanes|=u;var x=l.alternate;x!==null&&(x.lanes|=u),Pg(l.return,u,g)}function Yg(l,u,g,x,C){var j=l.memoizedState;j===null?l.memoizedState={isBackwards:u,rendering:null,renderingStartTime:0,last:x,tail:g,tailMode:C}:(j.isBackwards=u,j.rendering=null,j.renderingStartTime=0,j.last=x,j.tail=g,j.tailMode=C)}function y2(l,u,g){var x=u.pendingProps,C=x.revealOrder,j=x.tail;if(uo(l,u,x.children,g),x=ur.current,x&2)x=x&1|2,u.flags|=128;else{if(l!==null&&l.flags&128)e:for(l=u.child;l!==null;){if(l.tag===13)l.memoizedState!==null&&b2(l,g,u);else if(l.tag===19)b2(l,g,u);else if(l.child!==null){l.child.return=l,l=l.child;continue}if(l===u)break e;for(;l.sibling===null;){if(l.return===null||l.return===u)break 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+ * react-reconciler-constants.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */kl.ConcurrentRoot=1;kl.ContinuousEventPriority=4;kl.DefaultEventPriority=16;kl.DiscreteEventPriority=1;kl.IdleEventPriority=536870912;kl.LegacyRoot=0;v8.exports=kl;var b8=v8.exports;const m_={children:!0,ref:!0,key:!0,style:!0,forwardedRef:!0,unstable_applyCache:!0,unstable_applyDrawHitFromCache:!0};let g_=!1,v_=!1;const gx=".react-konva-event",qle=`ReactKonva: You have a Konva node with draggable = true and position defined but no onDragMove or onDragEnd events are handled.
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+For more info see: https://github.com/konvajs/react-konva/issues/256
+`,Kle=`ReactKonva: You are using "zIndex" attribute for a Konva node.
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e=B(r=>r.canvas.shouldShowGrid),t=te(),{t:n}=ye();return a.jsx(Gn,{label:n("unifiedCanvas.showGrid"),isChecked:e,onChange:r=>t(S5(r.target.checked))})}function ade(){const e=B(o=>o.canvas.shouldSnapToGrid),t=te(),{t:n}=ye(),r=o=>t(nd(o.target.checked));return a.jsx(Gn,{label:`${n("unifiedCanvas.snapToGrid")} (N)`,isChecked:e,onChange:r})}function ide(){return a.jsxs(H,{alignItems:"center",gap:4,children:[a.jsx(sde,{}),a.jsx(ade,{}),a.jsx(ode,{})]})}const lde=be([mn],e=>{const{tool:t,layer:n}=e;return{tool:t,layer:n}},{memoizeOptions:{resultEqualityCheck:Zt}});function cde(){const{tool:e,layer:t}=B(lde);return a.jsxs(H,{height:8,minHeight:8,maxHeight:8,alignItems:"center",children:[t=="base"&&["brush","eraser","colorPicker"].includes(e)&&a.jsx(Zue,{}),t=="mask"&&["brush","eraser","colorPicker"].includes(e)&&a.jsx(rde,{}),e=="move"&&a.jsx(ide,{})]})}const ude=be([mn],e=>{const{shouldAutoSave:t,shouldCropToBoundingBoxOnSave:n,shouldShowCanvasDebugInfo:r,shouldShowIntermediates:o,shouldAntialias:s}=e;return{shouldAutoSave:t,shouldCropToBoundingBoxOnSave:n,shouldShowCanvasDebugInfo:r,shouldShowIntermediates:o,shouldAntialias:s}},{memoizeOptions:{resultEqualityCheck:Zt}}),dde=()=>{const e=te(),{t}=ye(),{shouldAutoSave:n,shouldCropToBoundingBoxOnSave:r,shouldShowCanvasDebugInfo:o,shouldShowIntermediates:s,shouldAntialias:i}=B(ude);return 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i=f.useCallback(()=>{n&&o(A5())},[o,n]);return n?a.jsx(ze,{"aria-label":`${s("unifiedCanvas.copyToClipboard")} (Cmd/Ctrl+C)`,tooltip:`${s("unifiedCanvas.copyToClipboard")} (Cmd/Ctrl+C)`,icon:a.jsx(Kc,{}),onClick:i,isDisabled:e}):null}function pde(){const e=te(),{t}=ye(),n=Ta(),r=B(lr);tt(["shift+d"],()=>{o()},{enabled:()=>!r,preventDefault:!0},[n]);const o=()=>{e(T5())};return a.jsx(ze,{"aria-label":`${t("unifiedCanvas.downloadAsImage")} (Shift+D)`,tooltip:`${t("unifiedCanvas.downloadAsImage")} (Shift+D)`,icon:a.jsx(Cy,{}),onClick:o,isDisabled:r})}function hde(){const e=B(lr),{getUploadButtonProps:t,getUploadInputProps:n}=ag({postUploadAction:{type:"SET_CANVAS_INITIAL_IMAGE"}}),{t:r}=ye();return a.jsxs(a.Fragment,{children:[a.jsx(ze,{"aria-label":r("common.upload"),tooltip:r("common.upload"),icon:a.jsx(Kd,{}),isDisabled:e,...t()}),a.jsx("input",{...n()})]})}const mde=be([mn,lr],(e,t)=>{const{layer:n,isMaskEnabled:r}=e;return{layer:n,isMaskEnabled:r,isStaging:t}},{memoizeOptions:{resultEqualityCheck:Zt}});function gde(){const e=te(),{t}=ye(),{layer:n,isMaskEnabled:r,isStaging:o}=B(mde),s=()=>{e(Yp(n==="mask"?"base":"mask"))};tt(["q"],()=>{s()},{enabled:()=>!o,preventDefault:!0},[n]);const i=c=>{const d=c;e(Yp(d)),d==="mask"&&!r&&e(Id(!0))};return a.jsx(Fr,{tooltip:`${t("unifiedCanvas.layer")} (Q)`,"aria-label":`${t("unifiedCanvas.layer")} (Q)`,value:n,data:N5,onChange:i,disabled:o,w:"full"})}function vde(){const e=te(),{t}=ye(),n=Ta(),r=B(lr),o=B(i=>i.system.isProcessing);tt(["shift+m"],()=>{s()},{enabled:()=>!r,preventDefault:!0},[n,o]);const s=()=>{e(M5())};return a.jsx(ze,{"aria-label":`${t("unifiedCanvas.mergeVisible")} (Shift+M)`,tooltip:`${t("unifiedCanvas.mergeVisible")} (Shift+M)`,icon:a.jsx(rE,{}),onClick:s,isDisabled:r})}function bde(){const e=B(s=>s.canvas.tool),t=B(lr),n=te(),{t:r}=ye();tt(["v"],()=>{o()},{enabled:()=>!t,preventDefault:!0},[]);const o=()=>n(ea("move"));return a.jsx(ze,{"aria-label":`${r("unifiedCanvas.move")} (V)`,tooltip:`${r("unifiedCanvas.move")} (V)`,icon:a.jsx(XI,{}),isChecked:e==="move"||t,onClick:o})}function yde(){const e=B(s=>s.ui.shouldPinParametersPanel),t=B(s=>s.ui.shouldShowParametersPanel),n=te(),{t:r}=ye(),o=()=>{n(hb(!0)),e&&n(_o())};return!e||!t?a.jsxs(H,{flexDirection:"column",gap:2,children:[a.jsx(ze,{tooltip:`${r("parameters.showOptionsPanel")} (O)`,tooltipProps:{placement:"top"},"aria-label":r("parameters.showOptionsPanel"),onClick:o,children:a.jsx(ky,{})}),a.jsx(H,{children:a.jsx(nx,{iconButton:!0})}),a.jsx(H,{children:a.jsx(cg,{width:"100%",height:"40px",btnGroupWidth:"100%"})})]}):null}function xde(){const e=te(),{t}=ye(),n=B(lr),r=()=>{e(lb()),e(vm())};return a.jsx(ze,{"aria-label":t("unifiedCanvas.clearCanvas"),tooltip:t("unifiedCanvas.clearCanvas"),icon:a.jsx(Oo,{}),onClick:r,isDisabled:n,colorScheme:"error"})}function wde(){const e=Ta(),t=te(),{t:n}=ye();tt(["r"],()=>{o()},{enabled:()=>!0,preventDefault:!0},[e]);const r=j8(()=>o(!1),()=>o(!0)),o=(s=!1)=>{const i=Ta();if(!i)return;const c=i.getClientRect({skipTransform:!0});t(R5({contentRect:c,shouldScaleTo1:s}))};return a.jsx(ze,{"aria-label":`${n("unifiedCanvas.resetView")} (R)`,tooltip:`${n("unifiedCanvas.resetView")} (R)`,icon:a.jsx(QI,{}),onClick:r})}function Sde(){const e=B(lr),t=Ta(),n=B(i=>i.system.isProcessing),r=te(),{t:o}=ye();tt(["shift+s"],()=>{s()},{enabled:()=>!e,preventDefault:!0},[t,n]);const s=()=>{r(D5())};return a.jsx(ze,{"aria-label":`${o("unifiedCanvas.saveToGallery")} (Shift+S)`,tooltip:`${o("unifiedCanvas.saveToGallery")} (Shift+S)`,icon:a.jsx(Km,{}),onClick:s,isDisabled:e})}const Cde=be([mn,lr,vo],(e,t,n)=>{const{isProcessing:r}=n,{tool:o}=e;return{tool:o,isStaging:t,isProcessing:r}},{memoizeOptions:{resultEqualityCheck:Zt}}),kde=()=>{const e=te(),{t}=ye(),{tool:n,isStaging:r}=B(Cde);tt(["b"],()=>{o()},{enabled:()=>!r,preventDefault:!0},[]),tt(["e"],()=>{s()},{enabled:()=>!r,preventDefault:!0},[n]),tt(["c"],()=>{i()},{enabled:()=>!r,preventDefault:!0},[n]),tt(["shift+f"],()=>{c()},{enabled:()=>!r,preventDefault:!0}),tt(["delete","backspace"],()=>{d()},{enabled:()=>!r,preventDefault:!0});const o=()=>e(ea("brush")),s=()=>e(ea("eraser")),i=()=>e(ea("colorPicker")),c=()=>e(E5()),d=()=>e(O5());return a.jsxs(H,{flexDirection:"column",gap:2,children:[a.jsxs(rr,{children:[a.jsx(ze,{"aria-label":`${t("unifiedCanvas.brush")} (B)`,tooltip:`${t("unifiedCanvas.brush")} (B)`,icon:a.jsx(sE,{}),isChecked:n==="brush"&&!r,onClick:o,isDisabled:r}),a.jsx(ze,{"aria-label":`${t("unifiedCanvas.eraser")} (E)`,tooltip:`${t("unifiedCanvas.eraser")} 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window.addEventListener("resize",i),()=>window.removeEventListener("resize",i)},[e]),n?a.jsx(Oe,{layerStyle:"first",ref:o,tabIndex:0,sx:{w:"full",h:"full",p:4,borderRadius:"base"},children:a.jsxs(H,{sx:{w:"full",h:"full",gap:4},children:[a.jsx(_de,{}),a.jsxs(H,{sx:{flexDir:"column",w:"full",h:"full",gap:4,position:"relative"},children:[a.jsx(cde,{}),a.jsxs(Oe,{sx:{w:"full",h:"full",position:"relative"},children:[t?a.jsx(__,{}):a.jsx(k_,{}),Fp(Sv,s)&&a.jsx(tm,{isOver:r,label:"Set Canvas Initial Image"})]})]})]})}):a.jsx(Oe,{ref:o,tabIndex:-1,sx:{layerStyle:"first",w:"full",h:"full",p:4,borderRadius:"base"},children:a.jsxs(H,{sx:{flexDirection:"column",alignItems:"center",gap:4,w:"full",h:"full"},children:[a.jsx(Kue,{}),a.jsx(H,{sx:{flexDirection:"column",alignItems:"center",justifyContent:"center",gap:4,w:"full",h:"full"},children:a.jsxs(Oe,{sx:{w:"full",h:"full",position:"relative"},children:[t?a.jsx(__,{}):a.jsx(k_,{}),Fp(Sv,s)&&a.jsx(tm,{isOver:r,label:"Set Canvas Initial Image"})]})})]})})},Ide=f.memo(jde),Ede=be(at,({ui:e,generation:t})=>{const{shouldUseSliders:n}=e,{shouldRandomizeSeed:r}=t;return{shouldUseSliders:n,activeLabel:r?void 0:"Manual Seed"}},Ke),Ode=()=>{const{shouldUseSliders:e,activeLabel:t}=B(Ede);return a.jsx(bo,{label:"General",activeLabel:t,defaultIsOpen:!0,children:a.jsxs(H,{sx:{flexDirection:"column",gap:3},children:[e?a.jsxs(a.Fragment,{children:[a.jsx(ia,{}),a.jsx(ca,{}),a.jsx(aa,{}),a.jsx(la,{}),a.jsx(Oe,{pt:2,children:a.jsx(ua,{})}),a.jsx(cm,{})]}):a.jsxs(a.Fragment,{children:[a.jsxs(H,{gap:3,children:[a.jsx(ia,{}),a.jsx(ca,{}),a.jsx(aa,{})]}),a.jsx(la,{}),a.jsx(Oe,{pt:2,children:a.jsx(ua,{})}),a.jsx(cm,{})]}),a.jsx(qO,{})]})})},Rde=f.memo(Ode),M8=()=>a.jsxs(a.Fragment,{children:[a.jsx(dx,{}),a.jsx(Zc,{}),a.jsx(Rde,{}),a.jsx(Jc,{}),a.jsx(Qc,{}),a.jsx(Yc,{}),a.jsx(ux,{}),a.jsx(m8,{}),a.jsx(h8,{}),a.jsx(cx,{})]}),Mde=()=>{const e=B(t=>t.generation.model);return a.jsxs(H,{sx:{gap:4,w:"full",h:"full"},children:[a.jsx(lx,{children:e&&e.base_model==="sdxl"?a.jsx(Hle,{}):a.jsx(M8,{})}),a.jsx(Ide,{})]})},Dde=f.memo(Mde),Ade=[{id:"txt2img",translationKey:"common.txt2img",icon:a.jsx(fo,{as:GY,sx:{boxSize:6,pointerEvents:"none"}}),content:a.jsx(fle,{})},{id:"img2img",translationKey:"common.img2img",icon:a.jsx(fo,{as:Rc,sx:{boxSize:6,pointerEvents:"none"}}),content:a.jsx(dse,{})},{id:"unifiedCanvas",translationKey:"common.unifiedCanvas",icon:a.jsx(fo,{as:nte,sx:{boxSize:6,pointerEvents:"none"}}),content:a.jsx(Dde,{})},{id:"nodes",translationKey:"common.nodes",icon:a.jsx(fo,{as:tte,sx:{boxSize:6,pointerEvents:"none"}}),content:a.jsx(lle,{})},{id:"modelManager",translationKey:"modelManager.modelManager",icon:a.jsx(fo,{as:BY,sx:{boxSize:6,pointerEvents:"none"}}),content:a.jsx(dae,{})}],Tde=be([bO,vo],(e,t)=>{const{disabledTabs:n}=e,{isNodesEnabled:r}=t;return Ade.filter(s=>s.id==="nodes"?r&&!n.includes(s.id):!n.includes(s.id))},{memoizeOptions:{resultEqualityCheck:Zt}}),Nde=350,Cv=20,D8=["modelManager"],$de=()=>{const e=B(YD),t=B(Kn),n=B(Tde),{shouldPinGallery:r,shouldPinParametersPanel:o,shouldShowGallery:s}=B(y=>y.ui),{t:i}=ye(),c=te();tt("f",()=>{c(QD()),(r||o)&&c(_o())},[r,o]);const d=f.useCallback(()=>{t==="unifiedCanvas"&&c(_o())},[c,t]),p=f.useCallback(y=>{y.target instanceof HTMLElement&&y.target.blur()},[]),h=f.useMemo(()=>n.map(y=>a.jsx(vn,{hasArrow:!0,label:String(i(y.translationKey)),placement:"end",children:a.jsxs(_c,{onClick:p,children:[a.jsx(Z5,{children:String(i(y.translationKey))}),y.icon]})},y.id)),[n,i,p]),m=f.useMemo(()=>n.map(y=>a.jsx(zm,{children:y.content},y.id)),[n]),{ref:v,minSizePct:b}=_te(Nde,Cv,"app"),w=f.useCallback(y=>{const S=JD[y];S&&c(Ql(S))},[c]);return a.jsxs(Hd,{defaultIndex:e,index:e,onChange:w,sx:{flexGrow:1,gap:4},isLazy:!0,children:[a.jsxs(Wd,{sx:{pt:2,gap:4,flexDir:"column"},children:[h,a.jsx(ml,{}),a.jsx(ite,{})]}),a.jsxs(tx,{id:"app",autoSaveId:"app",direction:"horizontal",style:{height:"100%",width:"100%"},children:[a.jsx(yd,{id:"main",children:a.jsx(Bm,{style:{height:"100%",width:"100%"},children:m})}),r&&s&&!D8.includes(t)&&a.jsxs(a.Fragment,{children:[a.jsx(WO,{}),a.jsx(yd,{ref:v,onResize:d,id:"gallery",order:3,defaultSize:b>Cv&&b<100?b:Cv,minSize:b,maxSize:50,children:a.jsx(hO,{})})]})]})]})},Lde=f.memo($de),zde=be([Kn,Ua],(e,t)=>{const{shouldPinGallery:n,shouldShowGallery:r}=t;return{shouldPinGallery:n,shouldShowGalleryButton:D8.includes(e)?!1:!r}},{memoizeOptions:{resultEqualityCheck:Zt}}),Bde=()=>{const{t:e}=ye(),{shouldPinGallery:t,shouldShowGalleryButton:n}=B(zde),r=te(),o=()=>{r($v(!0)),t&&r(_o())};return n?a.jsx(ze,{tooltip:"Show Gallery (G)",tooltipProps:{placement:"top"},"aria-label":e("accessibility.showGallery"),onClick:o,sx:{pos:"absolute",top:"50%",transform:"translate(0, -50%)",p:0,insetInlineEnd:0,px:3,h:48,w:8,borderStartEndRadius:0,borderEndEndRadius:0,shadow:"2xl"},children:a.jsx(rte,{})}):null},Fde=f.memo(Bde),kv={borderStartStartRadius:0,borderEndStartRadius:0,shadow:"2xl"},Hde=be([Ua,Kn],(e,t)=>{const{shouldPinParametersPanel:n,shouldUseCanvasBetaLayout:r,shouldShowParametersPanel:o}=e,s=r&&t==="unifiedCanvas",i=!s&&(!n||!o),c=!s&&!o&&["txt2img","img2img","unifiedCanvas"].includes(t);return{shouldPinParametersPanel:n,shouldShowParametersPanelButton:c,shouldShowProcessButtons:i}},{memoizeOptions:{resultEqualityCheck:Zt}}),Wde=()=>{const e=te(),{t}=ye(),{shouldShowProcessButtons:n,shouldShowParametersPanelButton:r,shouldPinParametersPanel:o}=B(Hde),s=()=>{e(hb(!0)),o&&e(_o())};return r?a.jsxs(H,{pos:"absolute",transform:"translate(0, -50%)",minW:8,top:"50%",insetInlineStart:"4.5rem",direction:"column",gap:2,children:[a.jsx(ze,{tooltip:"Show Options Panel (O)",tooltipProps:{placement:"top"},"aria-label":t("accessibility.showOptionsPanel"),onClick:s,sx:kv,children:a.jsx(ky,{})}),n&&a.jsxs(a.Fragment,{children:[a.jsx(nx,{iconButton:!0,sx:kv}),a.jsx(cg,{sx:kv})]})]}):null},Vde=f.memo(Wde),Ude=be([Ua,Kn],(e,t)=>{const{shouldPinParametersPanel:n,shouldShowParametersPanel:r}=e;return{activeTabName:t,shouldPinParametersPanel:n,shouldShowParametersPanel:r}},Ke),Gde=()=>{const e=te(),{shouldPinParametersPanel:t,shouldShowParametersPanel:n,activeTabName:r}=B(Ude),o=()=>{e(hb(!1))},s=B(c=>c.generation.model),i=f.useMemo(()=>r==="txt2img"?s&&s.base_model==="sdxl"?a.jsx(f8,{}):a.jsx(p8,{}):r==="img2img"?s&&s.base_model==="sdxl"?a.jsx(FO,{}):a.jsx(KO,{}):r==="unifiedCanvas"?a.jsx(M8,{}):null,[r,s]);return t?null:a.jsx(GI,{direction:"left",isResizable:!1,isOpen:n,onClose:o,children:a.jsxs(H,{sx:{flexDir:"column",h:"full",w:ox,gap:2,position:"relative",flexShrink:0,overflowY:"auto"},children:[a.jsxs(H,{paddingBottom:4,justifyContent:"space-between",alignItems:"center",children:[a.jsx(gO,{}),a.jsx(HO,{})]}),a.jsx(H,{sx:{gap:2,flexDirection:"column",h:"full",w:"full"},children:i})]})})},qde=f.memo(Gde),Kde=be([e=>e.hotkeys,e=>e.ui],(e,t)=>{const{shift:n}=e,{shouldPinParametersPanel:r,shouldPinGallery:o}=t;return{shift:n,shouldPinGallery:o,shouldPinParametersPanel:r}},{memoizeOptions:{resultEqualityCheck:Zt}}),Xde=()=>{const e=te(),{shift:t,shouldPinParametersPanel:n,shouldPinGallery:r}=B(Kde),o=B(Kn);return tt("*",()=>{mP("shift")?!t&&e(Io(!0)):t&&e(Io(!1))},{keyup:!0,keydown:!0},[t]),tt("o",()=>{e(ZD()),o==="unifiedCanvas"&&n&&e(_o())}),tt(["shift+o"],()=>{e(e9()),o==="unifiedCanvas"&&e(_o())}),tt("g",()=>{e(t9()),o==="unifiedCanvas"&&r&&e(_o())}),tt(["shift+g"],()=>{e(G_()),o==="unifiedCanvas"&&e(_o())}),tt("1",()=>{e(Ql("txt2img"))}),tt("2",()=>{e(Ql("img2img"))}),tt("3",()=>{e(Ql("unifiedCanvas"))}),tt("4",()=>{e(Ql("nodes"))}),null},Yde=f.memo(Xde),Qde={},Jde=({config:e=Qde,headerComponent:t})=>{const n=B(rP),r=DF(),o=te();return f.useEffect(()=>{Bn.changeLanguage(n)},[n]),f.useEffect(()=>{t5(e)&&(r.info({namespace:"App",config:e},"Received config"),o(n9(e)))},[o,e,r]),f.useEffect(()=>{o(r9())},[o]),a.jsxs(a.Fragment,{children:[a.jsxs(sl,{w:"100vw",h:"100vh",position:"relative",overflow:"hidden",children:[a.jsx(VH,{children:a.jsxs(sl,{sx:{gap:4,p:4,gridAutoRows:"min-content auto",w:"full",h:"full"},children:[t||a.jsx(Zee,{}),a.jsx(H,{sx:{gap:4,w:"full",h:"full"},children:a.jsx(Lde,{})})]})}),a.jsx(Ree,{}),a.jsx(qde,{}),a.jsx(rd,{children:a.jsx(Vde,{})}),a.jsx(rd,{children:a.jsx(Fde,{})})]}),a.jsx(lY,{}),a.jsx(rY,{}),a.jsx(AF,{}),a.jsx(Yde,{})]})},ofe=f.memo(Jde);export{ofe as default};
diff --git a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-1a474d08.js b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-bc3e6f20.js
similarity index 99%
rename from invokeai/frontend/web/dist/assets/ThemeLocaleProvider-1a474d08.js
rename to invokeai/frontend/web/dist/assets/ThemeLocaleProvider-bc3e6f20.js
index 73988b1278..cfe460d9af 100644
--- a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-1a474d08.js
+++ b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-bc3e6f20.js
@@ -1,4 +1,4 @@
-import{B as m,g7 as Je,A as y,a5 as Ka,g8 as Xa,af as va,aj as d,g9 as b,ga as t,gb as Ya,gc as h,gd as ua,ge as Ja,gf as Qa,aL as Za,gg as et,ad as rt,gh as at}from"./index-deaa1f26.js";import{s as fa,n as o,t as tt,o as ha,p as ot,q as ma,v as ga,w as ya,x as it,y as Sa,z as pa,A as xr,B as nt,D as lt,E as st,F as xa,G as $a,H as ka,J as dt,K as _a,L as ct,M as bt,N as vt,O as ut,Q as wa,R as ft,S as ht,T as mt,U as gt,V as yt,W as St,e as pt,X as xt}from"./menu-b4489359.js";var za=String.raw,Ca=za`
+import{B as m,g7 as Je,A as y,a5 as Ka,g8 as Xa,af as va,aj as d,g9 as b,ga as t,gb as Ya,gc as h,gd as ua,ge as Ja,gf as Qa,aL as Za,gg as et,ad as rt,gh as at}from"./index-2c171c8f.js";import{s as fa,n as o,t as tt,o as ha,p as ot,q as ma,v as ga,w as ya,x as it,y as Sa,z as pa,A as xr,B as nt,D as lt,E as st,F as xa,G as $a,H as ka,J as dt,K as _a,L as ct,M as bt,N as vt,O as ut,Q as wa,R as ft,S as ht,T as mt,U as gt,V as yt,W as St,e as pt,X as xt}from"./menu-971c0572.js";var za=String.raw,Ca=za`
   :root,
   :host {
     --chakra-vh: 100vh;
diff --git a/invokeai/frontend/web/dist/assets/index-2c171c8f.js b/invokeai/frontend/web/dist/assets/index-2c171c8f.js
new file mode 100644
index 0000000000..4b38e2b112
--- /dev/null
+++ b/invokeai/frontend/web/dist/assets/index-2c171c8f.js
@@ -0,0 +1,151 @@
+function $7(e,t){for(var n=0;n<t.length;n++){const r=t[n];if(typeof r!="string"&&!Array.isArray(r)){for(const i in r)if(i!=="default"&&!(i in e)){const o=Object.getOwnPropertyDescriptor(r,i);o&&Object.defineProperty(e,i,o.get?o:{enumerable:!0,get:()=>r[i]})}}}return Object.freeze(Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}))}(function(){const t=document.createElement("link").relList;if(t&&t.supports&&t.supports("modulepreload"))return;for(const i of document.querySelectorAll('link[rel="modulepreload"]'))r(i);new MutationObserver(i=>{for(const o of i)if(o.type==="childList")for(const s of o.addedNodes)s.tagName==="LINK"&&s.rel==="modulepreload"&&r(s)}).observe(document,{childList:!0,subtree:!0});function n(i){const o={};return i.integrity&&(o.integrity=i.integrity),i.referrerPolicy&&(o.referrerPolicy=i.referrerPolicy),i.crossOrigin==="use-credentials"?o.credentials="include":i.crossOrigin==="anonymous"?o.credentials="omit":o.credentials="same-origin",o}function r(i){if(i.ep)return;i.ep=!0;const o=n(i);fetch(i.href,o)}})();var Ze=typeof globalThis<"u"?globalThis:typeof window<"u"?window:typeof global<"u"?global:typeof self<"u"?self:{};function Tc(e){return e&&e.__esModule&&Object.prototype.hasOwnProperty.call(e,"default")?e.default:e}function dQ(e){if(e.__esModule)return e;var t=e.default;if(typeof t=="function"){var n=function r(){if(this instanceof r){var i=[null];i.push.apply(i,arguments);var o=Function.bind.apply(t,i);return new o}return t.apply(this,arguments)};n.prototype=t.prototype}else n={};return Object.defineProperty(n,"__esModule",{value:!0}),Object.keys(e).forEach(function(r){var i=Object.getOwnPropertyDescriptor(e,r);Object.defineProperty(n,r,i.get?i:{enumerable:!0,get:function(){return e[r]}})}),n}var F7={exports:{}},D_={},B7={exports:{}},xt={};/**
+ * @license React
+ * react.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
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me.invalid_type:e.received===Ce.undefined?n="Required":n=`Expected ${e.expected}, received ${e.received}`;break;case me.invalid_literal:n=`Invalid literal value, expected ${JSON.stringify(e.expected,kt.jsonStringifyReplacer)}`;break;case me.unrecognized_keys:n=`Unrecognized key(s) in object: ${kt.joinValues(e.keys,", ")}`;break;case me.invalid_union:n="Invalid input";break;case me.invalid_union_discriminator:n=`Invalid discriminator value. 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ct{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return 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RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function Ule(e,t){return!!((t==="v4"||!t)&&$le.test(e)||(t==="v6"||!t)&&Fle.test(e))}class os extends ct{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:me.invalid_string,...ze.errToObj(r)}),this.nonempty=t=>this.min(1,ze.errToObj(t)),this.trim=()=>new os({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new os({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new os({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==Ce.string){const o=this._getOrReturnCtx(t);return Ee(o,{code:me.invalid_type,expected:Ce.string,received:o.parsedType}),Ye}const r=new ri;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),Ee(i,{code:me.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),Ee(i,{code:me.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?Ee(i,{code:me.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&Ee(i,{code:me.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")Lle.test(t.data)||(i=this._getOrReturnCtx(t,i),Ee(i,{validation:"email",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")Dle.test(t.data)||(i=this._getOrReturnCtx(t,i),Ee(i,{validation:"emoji",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")Nle.test(t.data)||(i=this._getOrReturnCtx(t,i),Ee(i,{validation:"uuid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")kle.test(t.data)||(i=this._getOrReturnCtx(t,i),Ee(i,{validation:"cuid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")Ile.test(t.data)||(i=this._getOrReturnCtx(t,i),Ee(i,{validation:"cuid2",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")Mle.test(t.data)||(i=this._getOrReturnCtx(t,i),Ee(i,{validation:"ulid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),Ee(i,{validation:"url",code:me.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),Ee(i,{validation:"regex",code:me.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),Ee(i,{code:me.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),Ee(i,{code:me.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),Ee(i,{code:me.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?Ble(o).test(t.data)||(i=this._getOrReturnCtx(t,i),Ee(i,{code:me.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?Ule(t.data,o.version)||(i=this._getOrReturnCtx(t,i),Ee(i,{validation:"ip",code:me.invalid_string,message:o.message}),r.dirty()):kt.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new os({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...ze.errToObj(t)})}url(t){return this._addCheck({kind:"url",...ze.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...ze.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...ze.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...ze.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...ze.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...ze.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...ze.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...ze.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...ze.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...ze.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...ze.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...ze.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...ze.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...ze.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...ze.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}os.create=e=>{var t;return new os({checks:[],typeName:qe.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...ot(e)})};function zle(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class eu extends ct{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==Ce.number){const o=this._getOrReturnCtx(t);return Ee(o,{code:me.invalid_type,expected:Ce.number,received:o.parsedType}),Ye}let r;const i=new ri;for(const o of this._def.checks)o.kind==="int"?kt.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Ee(r,{code:me.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Ee(r,{code:me.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Ee(r,{code:me.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?zle(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Ee(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Ee(r,{code:me.not_finite,message:o.message}),i.dirty()):kt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,ze.toString(n))}gt(t,n){return this.setLimit("min",t,!1,ze.toString(n))}lte(t,n){return this.setLimit("max",t,!0,ze.toString(n))}lt(t,n){return this.setLimit("max",t,!1,ze.toString(n))}setLimit(t,n,r,i){return new eu({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:ze.toString(i)}]})}_addCheck(t){return new eu({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:ze.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:ze.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:ze.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:ze.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:ze.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:ze.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:ze.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:ze.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:ze.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&kt.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}eu.create=e=>new eu({checks:[],typeName:qe.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...ot(e)});class tu extends ct{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==Ce.bigint){const o=this._getOrReturnCtx(t);return Ee(o,{code:me.invalid_type,expected:Ce.bigint,received:o.parsedType}),Ye}let r;const i=new ri;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Ee(r,{code:me.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Ee(r,{code:me.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),Ee(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):kt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,ze.toString(n))}gt(t,n){return this.setLimit("min",t,!1,ze.toString(n))}lte(t,n){return this.setLimit("max",t,!0,ze.toString(n))}lt(t,n){return this.setLimit("max",t,!1,ze.toString(n))}setLimit(t,n,r,i){return new tu({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:ze.toString(i)}]})}_addCheck(t){return new tu({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:ze.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:ze.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:ze.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:ze.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:ze.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}tu.create=e=>{var t;return new tu({checks:[],typeName:qe.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...ot(e)})};class Eg extends ct{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==Ce.boolean){const r=this._getOrReturnCtx(t);return Ee(r,{code:me.invalid_type,expected:Ce.boolean,received:r.parsedType}),Ye}return _i(t.data)}}Eg.create=e=>new Eg({typeName:qe.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...ot(e)});class mc extends ct{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==Ce.date){const o=this._getOrReturnCtx(t);return Ee(o,{code:me.invalid_type,expected:Ce.date,received:o.parsedType}),Ye}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Ee(o,{code:me.invalid_date}),Ye}const r=new ri;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),Ee(i,{code:me.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),Ee(i,{code:me.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):kt.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new mc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:ze.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:ze.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}mc.create=e=>new mc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:qe.ZodDate,...ot(e)});class R1 extends ct{_parse(t){if(this._getType(t)!==Ce.symbol){const r=this._getOrReturnCtx(t);return Ee(r,{code:me.invalid_type,expected:Ce.symbol,received:r.parsedType}),Ye}return _i(t.data)}}R1.create=e=>new R1({typeName:qe.ZodSymbol,...ot(e)});class Ag extends ct{_parse(t){if(this._getType(t)!==Ce.undefined){const r=this._getOrReturnCtx(t);return Ee(r,{code:me.invalid_type,expected:Ce.undefined,received:r.parsedType}),Ye}return _i(t.data)}}Ag.create=e=>new Ag({typeName:qe.ZodUndefined,...ot(e)});class Pg extends ct{_parse(t){if(this._getType(t)!==Ce.null){const r=this._getOrReturnCtx(t);return Ee(r,{code:me.invalid_type,expected:Ce.null,received:r.parsedType}),Ye}return _i(t.data)}}Pg.create=e=>new Pg({typeName:qe.ZodNull,...ot(e)});class Lf extends ct{constructor(){super(...arguments),this._any=!0}_parse(t){return _i(t.data)}}Lf.create=e=>new Lf({typeName:qe.ZodAny,...ot(e)});class ic extends ct{constructor(){super(...arguments),this._unknown=!0}_parse(t){return _i(t.data)}}ic.create=e=>new ic({typeName:qe.ZodUnknown,...ot(e)});class Ga extends ct{_parse(t){const n=this._getOrReturnCtx(t);return Ee(n,{code:me.invalid_type,expected:Ce.never,received:n.parsedType}),Ye}}Ga.create=e=>new Ga({typeName:qe.ZodNever,...ot(e)});class O1 extends ct{_parse(t){if(this._getType(t)!==Ce.undefined){const r=this._getOrReturnCtx(t);return Ee(r,{code:me.invalid_type,expected:Ce.void,received:r.parsedType}),Ye}return _i(t.data)}}O1.create=e=>new O1({typeName:qe.ZodVoid,...ot(e)});class cs extends ct{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==Ce.array)return Ee(n,{code:me.invalid_type,expected:Ce.array,received:n.parsedType}),Ye;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(Ee(n,{code:s?me.too_big:me.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(Ee(n,{code:me.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(Ee(n,{code:me.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new Ks(n,s,n.path,a)))).then(s=>ri.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new Ks(n,s,n.path,a)));return ri.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new cs({...this._def,minLength:{value:t,message:ze.toString(n)}})}max(t,n){return new cs({...this._def,maxLength:{value:t,message:ze.toString(n)}})}length(t,n){return new cs({...this._def,exactLength:{value:t,message:ze.toString(n)}})}nonempty(t){return this.min(1,t)}}cs.create=(e,t)=>new cs({type:e,minLength:null,maxLength:null,exactLength:null,typeName:qe.ZodArray,...ot(t)});function Rd(e){if(e instanceof Tn){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=Ma.create(Rd(r))}return new Tn({...e._def,shape:()=>t})}else return e instanceof cs?new cs({...e._def,type:Rd(e.element)}):e instanceof Ma?Ma.create(Rd(e.unwrap())):e instanceof vc?vc.create(Rd(e.unwrap())):e instanceof Xs?Xs.create(e.items.map(t=>Rd(t))):e}class Tn extends ct{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=kt.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==Ce.object){const u=this._getOrReturnCtx(t);return Ee(u,{code:me.invalid_type,expected:Ce.object,received:u.parsedType}),Ye}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof Ga&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const d=o[u],f=i.data[u];l.push({key:{status:"valid",value:u},value:d._parse(new Ks(i,f,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof Ga){const u=this._def.unknownKeys;if(u==="passthrough")for(const d of a)l.push({key:{status:"valid",value:d},value:{status:"valid",value:i.data[d]}});else if(u==="strict")a.length>0&&(Ee(i,{code:me.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const d of a){const f=i.data[d];l.push({key:{status:"valid",value:d},value:u._parse(new Ks(i,f,i.path,d)),alwaysSet:d in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const d of l){const f=await d.key;u.push({key:f,value:await d.value,alwaysSet:d.alwaysSet})}return u}).then(u=>ri.mergeObjectSync(r,u)):ri.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return ze.errToObj,new Tn({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=ze.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new Tn({...this._def,unknownKeys:"strip"})}passthrough(){return new Tn({...this._def,unknownKeys:"passthrough"})}extend(t){return new Tn({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new Tn({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:qe.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new Tn({...this._def,catchall:t})}pick(t){const n={};return kt.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new Tn({...this._def,shape:()=>n})}omit(t){const n={};return kt.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new Tn({...this._def,shape:()=>n})}deepPartial(){return Rd(this)}partial(t){const n={};return kt.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new Tn({...this._def,shape:()=>n})}required(t){const n={};return kt.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof Ma;)o=o._def.innerType;n[r]=o}}),new Tn({...this._def,shape:()=>n})}keyof(){return a$(kt.objectKeys(this.shape))}}Tn.create=(e,t)=>new Tn({shape:()=>e,unknownKeys:"strip",catchall:Ga.create(),typeName:qe.ZodObject,...ot(t)});Tn.strictCreate=(e,t)=>new Tn({shape:()=>e,unknownKeys:"strict",catchall:Ga.create(),typeName:qe.ZodObject,...ot(t)});Tn.lazycreate=(e,t)=>new Tn({shape:e,unknownKeys:"strip",catchall:Ga.create(),typeName:qe.ZodObject,...ot(t)});class Rg extends ct{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new us(a.ctx.common.issues));return Ee(n,{code:me.invalid_union,unionErrors:s}),Ye}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},d=l._parseSync({data:n.data,path:n.path,parent:u});if(d.status==="valid")return d;d.status==="dirty"&&!o&&(o={result:d,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new us(l));return Ee(n,{code:me.invalid_union,unionErrors:a}),Ye}}get options(){return this._def.options}}Rg.create=(e,t)=>new Rg({options:e,typeName:qe.ZodUnion,...ot(t)});const xv=e=>e instanceof Ig?xv(e.schema):e instanceof gs?xv(e.innerType()):e instanceof Mg?[e.value]:e instanceof nu?e.options:e instanceof Ng?Object.keys(e.enum):e instanceof Lg?xv(e._def.innerType):e instanceof Ag?[void 0]:e instanceof Pg?[null]:null;class yb extends ct{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Ce.object)return Ee(n,{code:me.invalid_type,expected:Ce.object,received:n.parsedType}),Ye;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(Ee(n,{code:me.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),Ye)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=xv(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new yb({typeName:qe.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...ot(r)})}}function U3(e,t){const n=Rl(e),r=Rl(t);if(e===t)return{valid:!0,data:e};if(n===Ce.object&&r===Ce.object){const i=kt.objectKeys(t),o=kt.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=U3(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===Ce.array&&r===Ce.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=U3(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===Ce.date&&r===Ce.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class Og extends ct{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(F3(o)||F3(s))return Ye;const a=U3(o.value,s.value);return a.valid?((B3(o)||B3(s))&&n.dirty(),{status:n.value,value:a.data}):(Ee(r,{code:me.invalid_intersection_types}),Ye)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}Og.create=(e,t,n)=>new Og({left:e,right:t,typeName:qe.ZodIntersection,...ot(n)});class Xs extends ct{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Ce.array)return Ee(r,{code:me.invalid_type,expected:Ce.array,received:r.parsedType}),Ye;if(r.data.length<this._def.items.length)return Ee(r,{code:me.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),Ye;!this._def.rest&&r.data.length>this._def.items.length&&(Ee(r,{code:me.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new Ks(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>ri.mergeArray(n,s)):ri.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new Xs({...this._def,rest:t})}}Xs.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new Xs({items:e,typeName:qe.ZodTuple,rest:null,...ot(t)})};class kg extends ct{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Ce.object)return Ee(r,{code:me.invalid_type,expected:Ce.object,received:r.parsedType}),Ye;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new Ks(r,a,r.path,a)),value:s._parse(new Ks(r,r.data[a],r.path,a))});return r.common.async?ri.mergeObjectAsync(n,i):ri.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof ct?new kg({keyType:t,valueType:n,typeName:qe.ZodRecord,...ot(r)}):new kg({keyType:os.create(),valueType:t,typeName:qe.ZodRecord,...ot(n)})}}class k1 extends ct{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Ce.map)return Ee(r,{code:me.invalid_type,expected:Ce.map,received:r.parsedType}),Ye;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new Ks(r,a,r.path,[u,"key"])),value:o._parse(new Ks(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,d=await l.value;if(u.status==="aborted"||d.status==="aborted")return Ye;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,d=l.value;if(u.status==="aborted"||d.status==="aborted")return Ye;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}}}}k1.create=(e,t,n)=>new k1({valueType:t,keyType:e,typeName:qe.ZodMap,...ot(n)});class yc extends ct{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Ce.set)return Ee(r,{code:me.invalid_type,expected:Ce.set,received:r.parsedType}),Ye;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(Ee(r,{code:me.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(Ee(r,{code:me.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const d of l){if(d.status==="aborted")return Ye;d.status==="dirty"&&n.dirty(),u.add(d.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new Ks(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new yc({...this._def,minSize:{value:t,message:ze.toString(n)}})}max(t,n){return new yc({...this._def,maxSize:{value:t,message:ze.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}yc.create=(e,t)=>new yc({valueType:e,minSize:null,maxSize:null,typeName:qe.ZodSet,...ot(t)});class ff extends ct{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Ce.function)return Ee(n,{code:me.invalid_type,expected:Ce.function,received:n.parsedType}),Ye;function r(a,l){return E1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,T1(),Tg].filter(u=>!!u),issueData:{code:me.invalid_arguments,argumentsError:l}})}function i(a,l){return E1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,T1(),Tg].filter(u=>!!u),issueData:{code:me.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;return this._def.returns instanceof Df?_i(async(...a)=>{const l=new us([]),u=await this._def.args.parseAsync(a,o).catch(h=>{throw l.addIssue(r(a,h)),l}),d=await s(...u);return await this._def.returns._def.type.parseAsync(d,o).catch(h=>{throw l.addIssue(i(d,h)),l})}):_i((...a)=>{const l=this._def.args.safeParse(a,o);if(!l.success)throw new us([r(a,l.error)]);const u=s(...l.data),d=this._def.returns.safeParse(u,o);if(!d.success)throw new us([i(u,d.error)]);return d.data})}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new ff({...this._def,args:Xs.create(t).rest(ic.create())})}returns(t){return new ff({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new ff({args:t||Xs.create([]).rest(ic.create()),returns:n||ic.create(),typeName:qe.ZodFunction,...ot(r)})}}class Ig extends ct{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}Ig.create=(e,t)=>new Ig({getter:e,typeName:qe.ZodLazy,...ot(t)});class Mg extends ct{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Ee(n,{received:n.data,code:me.invalid_literal,expected:this._def.value}),Ye}return{status:"valid",value:t.data}}get value(){return this._def.value}}Mg.create=(e,t)=>new Mg({value:e,typeName:qe.ZodLiteral,...ot(t)});function a$(e,t){return new nu({values:e,typeName:qe.ZodEnum,...ot(t)})}class nu extends ct{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Ee(n,{expected:kt.joinValues(r),received:n.parsedType,code:me.invalid_type}),Ye}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Ee(n,{received:n.data,code:me.invalid_enum_value,options:r}),Ye}return _i(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return nu.create(t)}exclude(t){return nu.create(this.options.filter(n=>!t.includes(n)))}}nu.create=a$;class Ng extends ct{_parse(t){const n=kt.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==Ce.string&&r.parsedType!==Ce.number){const i=kt.objectValues(n);return Ee(r,{expected:kt.joinValues(i),received:r.parsedType,code:me.invalid_type}),Ye}if(n.indexOf(t.data)===-1){const i=kt.objectValues(n);return Ee(r,{received:r.data,code:me.invalid_enum_value,options:i}),Ye}return _i(t.data)}get enum(){return this._def.values}}Ng.create=(e,t)=>new Ng({values:e,typeName:qe.ZodNativeEnum,...ot(t)});class Df extends ct{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Ce.promise&&n.common.async===!1)return Ee(n,{code:me.invalid_type,expected:Ce.promise,received:n.parsedType}),Ye;const r=n.parsedType===Ce.promise?n.data:Promise.resolve(n.data);return _i(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}Df.create=(e,t)=>new Df({type:e,typeName:qe.ZodPromise,...ot(t)});class gs extends ct{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===qe.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null;if(i.type==="preprocess"){const s=i.transform(r.data);return r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}const o={addIssue:s=>{Ee(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?Ye:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?Ye:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!A1(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>A1(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);kt.assertNever(i)}}gs.create=(e,t,n)=>new gs({schema:e,typeName:qe.ZodEffects,effect:t,...ot(n)});gs.createWithPreprocess=(e,t,n)=>new gs({schema:t,effect:{type:"preprocess",transform:e},typeName:qe.ZodEffects,...ot(n)});class Ma extends ct{_parse(t){return this._getType(t)===Ce.undefined?_i(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Ma.create=(e,t)=>new Ma({innerType:e,typeName:qe.ZodOptional,...ot(t)});class vc extends ct{_parse(t){return this._getType(t)===Ce.null?_i(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}vc.create=(e,t)=>new vc({innerType:e,typeName:qe.ZodNullable,...ot(t)});class Lg extends ct{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===Ce.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}Lg.create=(e,t)=>new Lg({innerType:e,typeName:qe.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...ot(t)});class I1 extends ct{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return P1(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new us(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new us(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}I1.create=(e,t)=>new I1({innerType:e,typeName:qe.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...ot(t)});class M1 extends ct{_parse(t){if(this._getType(t)!==Ce.nan){const r=this._getOrReturnCtx(t);return Ee(r,{code:me.invalid_type,expected:Ce.nan,received:r.parsedType}),Ye}return{status:"valid",value:t.data}}}M1.create=e=>new M1({typeName:qe.ZodNaN,...ot(e)});const Vle=Symbol("zod_brand");class l$ extends ct{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class Pm extends ct{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?Ye:o.status==="dirty"?(n.dirty(),s$(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?Ye:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new Pm({in:t,out:n,typeName:qe.ZodPipeline})}}const u$=(e,t={},n)=>e?Lf.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):Lf.create(),jle={object:Tn.lazycreate};var qe;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline"})(qe||(qe={}));const Gle=(e,t={message:`Input not instance of ${e.name}`})=>u$(n=>n instanceof e,t),c$=os.create,d$=eu.create,Hle=M1.create,Wle=tu.create,f$=Eg.create,qle=mc.create,Kle=R1.create,Xle=Ag.create,Yle=Pg.create,Qle=Lf.create,Zle=ic.create,Jle=Ga.create,eue=O1.create,tue=cs.create,nue=Tn.create,rue=Tn.strictCreate,iue=Rg.create,oue=yb.create,sue=Og.create,aue=Xs.create,lue=kg.create,uue=k1.create,cue=yc.create,due=ff.create,fue=Ig.create,hue=Mg.create,pue=nu.create,gue=Ng.create,mue=Df.create,Q9=gs.create,yue=Ma.create,vue=vc.create,_ue=gs.createWithPreprocess,bue=Pm.create,Sue=()=>c$().optional(),wue=()=>d$().optional(),xue=()=>f$().optional(),Cue={string:e=>os.create({...e,coerce:!0}),number:e=>eu.create({...e,coerce:!0}),boolean:e=>Eg.create({...e,coerce:!0}),bigint:e=>tu.create({...e,coerce:!0}),date:e=>mc.create({...e,coerce:!0})},Tue=Ye;var Et=Object.freeze({__proto__:null,defaultErrorMap:Tg,setErrorMap:Rle,getErrorMap:T1,makeIssue:E1,EMPTY_PATH:Ole,addIssueToContext:Ee,ParseStatus:ri,INVALID:Ye,DIRTY:s$,OK:_i,isAborted:F3,isDirty:B3,isValid:A1,isAsync:P1,get util(){return kt},get objectUtil(){return $3},ZodParsedType:Ce,getParsedType:Rl,ZodType:ct,ZodString:os,ZodNumber:eu,ZodBigInt:tu,ZodBoolean:Eg,ZodDate:mc,ZodSymbol:R1,ZodUndefined:Ag,ZodNull:Pg,ZodAny:Lf,ZodUnknown:ic,ZodNever:Ga,ZodVoid:O1,ZodArray:cs,ZodObject:Tn,ZodUnion:Rg,ZodDiscriminatedUnion:yb,ZodIntersection:Og,ZodTuple:Xs,ZodRecord:kg,ZodMap:k1,ZodSet:yc,ZodFunction:ff,ZodLazy:Ig,ZodLiteral:Mg,ZodEnum:nu,ZodNativeEnum:Ng,ZodPromise:Df,ZodEffects:gs,ZodTransformer:gs,ZodOptional:Ma,ZodNullable:vc,ZodDefault:Lg,ZodCatch:I1,ZodNaN:M1,BRAND:Vle,ZodBranded:l$,ZodPipeline:Pm,custom:u$,Schema:ct,ZodSchema:ct,late:jle,get ZodFirstPartyTypeKind(){return qe},coerce:Cue,any:Qle,array:tue,bigint:Wle,boolean:f$,date:qle,discriminatedUnion:oue,effect:Q9,enum:pue,function:due,instanceof:Gle,intersection:sue,lazy:fue,literal:hue,map:uue,nan:Hle,nativeEnum:gue,never:Jle,null:Yle,nullable:vue,number:d$,object:nue,oboolean:xue,onumber:wue,optional:yue,ostring:Sue,pipeline:bue,preprocess:_ue,promise:mue,record:lue,set:cue,strictObject:rue,string:c$,symbol:Kle,transformer:Q9,tuple:aue,undefined:Xle,union:iue,unknown:Zle,void:eue,NEVER:Tue,ZodIssueCode:me,quotelessJson:Ple,ZodError:us});const 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L1={exports:{}};/**
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+ * Lodash <https://lodash.com/>
+ * Copyright OpenJS Foundation and other contributors <https://openjsf.org/>
+ * Released under MIT license <https://lodash.com/license>
+ * Based on Underscore.js 1.8.3 <http://underscorejs.org/LICENSE>
+ * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors
+ */L1.exports;(function(e,t){(function(){var n,r="4.17.21",i=200,o="Unsupported core-js use. 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t=e.reducerPath,n=e.context,r=e.context.endpointDefinitions,i=e.mutationThunk,o=e.api,s=e.assertTagType,a=e.refetchQuery,l=o.internalActions.removeQueryResult,u=Lo(pu(i),Sm(i)),d=function(h,g){u(h)&&f(M$(h,"invalidatesTags",r,s),g),o.util.invalidateTags.match(h)&&f(I$(h.payload,void 0,void 0,void 0,void 0,s),g)};function f(h,g){var m=g.getState(),v=m[t],x=o.util.selectInvalidatedBy(m,h);n.batch(function(){for(var _,b=Array.from(x.values()),y=0,S=b;y<S.length;y++){var C=S[y].queryCacheKey,T=v.queries[C],E=(_=v.subscriptions[C])!=null?_:{};T&&(Object.keys(E).length===0?g.dispatch(l({queryCacheKey:C})):T.status!==vn.uninitialized&&g.dispatch(a(T,C)))}})}return d},Vce=function(e){var t=e.reducerPath,n=e.queryThunk,r=e.api,i=e.refetchQuery,o=e.internalState,s={},a=function(g,m){(r.internalActions.updateSubscriptionOptions.match(g)||r.internalActions.unsubscribeQueryResult.match(g))&&u(g.payload,m),(n.pending.match(g)||n.rejected.match(g)&&g.meta.condition)&&u(g.meta.arg,m),(n.fulfilled.match(g)||n.rejected.match(g)&&!g.meta.condition)&&l(g.meta.arg,m),r.util.resetApiState.match(g)&&f()};function l(g,m){var v=g.queryCacheKey,x=m.getState()[t],_=x.queries[v],b=o.currentSubscriptions[v];if(!(!_||_.status===vn.uninitialized)){var y=h(b);if(Number.isFinite(y)){var S=s[v];S!=null&&S.timeout&&(clearTimeout(S.timeout),S.timeout=void 0);var C=Date.now()+y,T=s[v]={nextPollTimestamp:C,pollingInterval:y,timeout:setTimeout(function(){T.timeout=void 0,m.dispatch(i(_,v))},y)}}}}function u(g,m){var v=g.queryCacheKey,x=m.getState()[t],_=x.queries[v],b=o.currentSubscriptions[v];if(!(!_||_.status===vn.uninitialized)){var y=h(b);if(!Number.isFinite(y)){d(v);return}var S=s[v],C=Date.now()+y;(!S||C<S.nextPollTimestamp)&&l({queryCacheKey:v},m)}}function d(g){var m=s[g];m!=null&&m.timeout&&clearTimeout(m.timeout),delete s[g]}function f(){for(var g=0,m=Object.keys(s);g<m.length;g++){var v=m[g];d(v)}}function h(g){g===void 0&&(g={});var m=Number.POSITIVE_INFINITY;for(var v in g)g[v].pollingInterval&&(m=Math.min(g[v].pollingInterval,m));return m}return a},jce=function(e){var t=e.reducerPath,n=e.context,r=e.api,i=e.refetchQuery,o=e.internalState,s=r.internalActions.removeQueryResult,a=function(u,d){UT.match(u)&&l(d,"refetchOnFocus"),zT.match(u)&&l(d,"refetchOnReconnect")};function l(u,d){var f=u.getState()[t],h=f.queries,g=o.currentSubscriptions;n.batch(function(){for(var m=0,v=Object.keys(g);m<v.length;m++){var x=v[m],_=h[x],b=g[x];if(!(!b||!_)){var y=Object.values(b).some(function(S){return S[d]===!0})||Object.values(b).every(function(S){return S[d]===void 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if(t.util.resetApiState.match(g))for(var S=0,C=Object.entries(u);S<C.length;S++){var T=C[S],E=T[0],y=T[1];delete u[E],y.cacheEntryRemoved()}};function f(g){return s(g)?g.meta.arg.queryCacheKey:a(g)?g.meta.requestId:t.internalActions.removeQueryResult.match(g)?g.payload.queryCacheKey:t.internalActions.removeMutationResult.match(g)?Bg(g.payload):""}function h(g,m,v,x,_){var b=r.endpointDefinitions[g],y=b==null?void 0:b.onCacheEntryAdded;if(y){var S={},C=new Promise(function(M){S.cacheEntryRemoved=M}),T=Promise.race([new Promise(function(M){S.valueResolved=M}),C.then(function(){throw pR})]);T.catch(function(){}),u[v]=S;var E=t.endpoints[g].select(b.type===Ys.query?m:v),P=x.dispatch(function(M,V,B){return B}),k=Fs(Vn({},x),{getCacheEntry:function(){return E(x.getState())},requestId:_,extra:P,updateCachedData:b.type===Ys.query?function(M){return x.dispatch(t.util.updateQueryData(g,m,M))}:void 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O=h.payload,E=O.queryCacheKey,P=O.requestId;return f[E]&&delete f[E][P],!0}if(t.internalActions.removeQueryResult.match(h))return delete f[h.payload.queryCacheKey],!0;if(n.pending.match(h)){var M=h.meta,V=M.arg,P=M.requestId;if(V.subscribe){var B=(v=f[m=V.queryCacheKey])!=null?v:f[m]={};return B[P]=(_=(x=V.subscriptionOptions)!=null?x:B[P])!=null?_:{},!0}}if(n.rejected.match(h)){var A=h.meta,N=A.condition,V=A.arg,P=A.requestId;if(N&&V.subscribe){var B=(y=f[b=V.queryCacheKey])!=null?y:f[b]={};return B[P]=(C=(S=V.subscriptionOptions)!=null?S:B[P])!=null?C:{},!0}}return!1};return function(f,h){var g,m;if(o||(o=JSON.parse(JSON.stringify(r.currentSubscriptions))),t.util.resetApiState.match(f))return o=r.currentSubscriptions={},[!0,!1];if(t.internalActions.internal_probeSubscription.match(f)){var v=f.payload,x=v.queryCacheKey,_=v.requestId,b=!!((g=r.currentSubscriptions[x])!=null&&g[_]);return[!1,b]}var y=d(r.currentSubscriptions,f);if(y){s||(qce(function(){var 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k}}};return{middleware:u,actions:s};function d(f,h,g){return g===void 0&&(g={}),n(Vn({type:"query",endpointName:f.endpointName,originalArgs:f.originalArgs,subscribe:!1,forceRefetch:!0,queryCacheKey:h},g))}}function gl(e){for(var t=[],n=1;n<arguments.length;n++)t[n-1]=arguments[n];Object.assign.apply(Object,$1([e],t))}var mR=Symbol(),Yce=function(){return{name:mR,init:function(e,t,n){var r=t.baseQuery,i=t.tagTypes,o=t.reducerPath,s=t.serializeQueryArgs,a=t.keepUnusedDataFor,l=t.refetchOnMountOrArgChange,u=t.refetchOnFocus,d=t.refetchOnReconnect;fT();var f=function(ee){return typeof process<"u",ee};Object.assign(e,{reducerPath:o,endpoints:{},internalActions:{onOnline:zT,onOffline:O$,onFocus:UT,onFocusLost:R$},util:{}});var h=Nce({baseQuery:r,reducerPath:o,context:n,api:e,serializeQueryArgs:s}),g=h.queryThunk,m=h.mutationThunk,v=h.patchQueryData,x=h.updateQueryData,_=h.upsertQueryData,b=h.prefetch,y=h.buildMatchThunkActions,S=Lce({context:n,queryThunk:g,mutationThunk:m,reducerPath:o,assertTagType:f,config:{refetchOnFocus:u,refetchOnReconnect:d,refetchOnMountOrArgChange:l,keepUnusedDataFor:a,reducerPath:o}}),C=S.reducer,T=S.actions;gl(e.util,{patchQueryData:v,updateQueryData:x,upsertQueryData:_,prefetch:b,resetApiState:T.resetApiState}),gl(e.internalActions,T);var E=Xce({reducerPath:o,context:n,queryThunk:g,mutationThunk:m,api:e,assertTagType:f}),P=E.middleware,k=E.actions;gl(e.util,k),gl(e,{reducer:C,middleware:P});var O=Dce({serializeQueryArgs:s,reducerPath:o}),M=O.buildQuerySelector,V=O.buildMutationSelector,B=O.selectInvalidatedBy;gl(e.util,{selectInvalidatedBy:B});var A=Mce({queryThunk:g,mutationThunk:m,api:e,serializeQueryArgs:s,context:n}),N=A.buildInitiateQuery,D=A.buildInitiateMutation,U=A.getRunningMutationThunk,$=A.getRunningMutationsThunk,j=A.getRunningQueriesThunk,G=A.getRunningQueryThunk,q=A.getRunningOperationPromises,Z=A.removalWarning;return gl(e.util,{getRunningOperationPromises:q,getRunningOperationPromise:Z,getRunningMutationThunk:U,getRunningMutationsThunk:$,getRunningQueryThunk:G,getRunningQueriesThunk:j}),{name:mR,injectEndpoint:function(ee,ie){var se,le,W=e;(le=(se=W.endpoints)[ee])!=null||(se[ee]={}),k$(ie)?gl(W.endpoints[ee],{name:ee,select:M(ee,ie),initiate:N(ee,ie)},y(g,ee)):kce(ie)&&gl(W.endpoints[ee],{name:ee,select:V(),initiate:D(ee)},y(m,ee))}}}}},L$={exports:{}},D$={};/**
+ * @license React
+ * use-sync-external-store-shim.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var $f=L;function Qce(e,t){return e===t&&(e!==0||1/e===1/t)||e!==e&&t!==t}var Zce=typeof Object.is=="function"?Object.is:Qce,Jce=$f.useState,ede=$f.useEffect,tde=$f.useLayoutEffect,nde=$f.useDebugValue;function rde(e,t){var n=t(),r=Jce({inst:{value:n,getSnapshot:t}}),i=r[0].inst,o=r[1];return tde(function(){i.value=n,i.getSnapshot=t,xx(i)&&o({inst:i})},[e,n,t]),ede(function(){return xx(i)&&o({inst:i}),e(function(){xx(i)&&o({inst:i})})},[e]),nde(n),n}function xx(e){var t=e.getSnapshot;e=e.value;try{var n=t();return!Zce(e,n)}catch{return!0}}function ide(e,t){return t()}var ode=typeof window>"u"||typeof window.document>"u"||typeof window.document.createElement>"u"?ide:rde;D$.useSyncExternalStore=$f.useSyncExternalStore!==void 0?$f.useSyncExternalStore:ode;L$.exports=D$;var sde=L$.exports,$$={exports:{}},F$={};/**
+ * @license React
+ * use-sync-external-store-shim/with-selector.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */var bb=L,ade=sde;function lde(e,t){return e===t&&(e!==0||1/e===1/t)||e!==e&&t!==t}var ude=typeof Object.is=="function"?Object.is:lde,cde=ade.useSyncExternalStore,dde=bb.useRef,fde=bb.useEffect,hde=bb.useMemo,pde=bb.useDebugValue;F$.useSyncExternalStoreWithSelector=function(e,t,n,r,i){var o=dde(null);if(o.current===null){var s={hasValue:!1,value:null};o.current=s}else s=o.current;o=hde(function(){function l(g){if(!u){if(u=!0,d=g,g=r(g),i!==void 0&&s.hasValue){var m=s.value;if(i(m,g))return f=m}return f=g}if(m=f,ude(d,g))return m;var v=r(g);return i!==void 0&&i(m,v)?m:(d=g,f=v)}var u=!1,d,f,h=n===void 0?null:n;return[function(){return l(t())},h===null?void 0:function(){return l(h())}]},[t,n,r,i]);var a=cde(e,o[0],o[1]);return fde(function(){s.hasValue=!0,s.value=a},[a]),pde(a),a};$$.exports=F$;var B$=$$.exports;const gde=Tc(B$);function mde(e){e()}let U$=mde;const yde=e=>U$=e,vde=()=>U$,yR=Symbol.for(`react-redux-context-${L.version}`),vR=globalThis;function _de(){let e=vR[yR];return e||(e=L.createContext(null),vR[yR]=e),e}const ru=new Proxy({},new Proxy({},{get(e,t){const n=_de();return(r,...i)=>Reflect[t](n,...i)}}));function VT(e=ru){return function(){return L.useContext(e)}}const z$=VT(),bde=()=>{throw new Error("uSES not initialized!")};let V$=bde;const Sde=e=>{V$=e},wde=(e,t)=>e===t;function xde(e=ru){const t=e===ru?z$:VT(e);return function(r,i={}){const{equalityFn:o=wde,stabilityCheck:s=void 0,noopCheck:a=void 0}=typeof i=="function"?{equalityFn:i}:i,{store:l,subscription:u,getServerState:d,stabilityCheck:f,noopCheck:h}=t();L.useRef(!0);const g=L.useCallback({[r.name](v){return r(v)}}[r.name],[r,f,s]),m=V$(u.addNestedSub,l.getState,d||l.getState,g,o);return L.useDebugValue(m),m}}const j$=xde();function U1(){return U1=Object.assign?Object.assign.bind():function(e){for(var t=1;t<arguments.length;t++){var n=arguments[t];for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(e[r]=n[r])}return e},U1.apply(this,arguments)}var G$={exports:{}},Ht={};/** @license React v16.13.1
+ * react-is.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
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rO=()=>!0,Dme=e=>({connectionStartHandle:e.connectionStartHandle,connectOnClick:e.connectOnClick,noPanClassName:e.noPanClassName}),$me=(e,t,n)=>r=>{const{connectionStartHandle:i,connectionEndHandle:o,connectionClickStartHandle:s}=r;return{connecting:(i==null?void 0:i.nodeId)===e&&(i==null?void 0:i.handleId)===t&&(i==null?void 0:i.type)===n||(o==null?void 0:o.nodeId)===e&&(o==null?void 0:o.handleId)===t&&(o==null?void 0:o.type)===n,clickConnecting:(s==null?void 0:s.nodeId)===e&&(s==null?void 0:s.handleId)===t&&(s==null?void 0:s.type)===n}},kB=L.forwardRef(({type:e="source",position:t=Ue.Top,isValidConnection:n,isConnectable:r=!0,isConnectableStart:i=!0,isConnectableEnd:o=!0,id:s,onConnect:a,children:l,className:u,onMouseDown:d,onTouchStart:f,...h},g)=>{var k,O;const m=s||null,v=e==="target",x=ii(),_=Ame(),{connectOnClick:b,noPanClassName:y}=Gn(Dme,Bi),{connecting:S,clickConnecting:C}=Gn($me(_,m,e),Bi);_||(O=(k=x.getState()).onError)==null||O.call(k,"010",ou.error010());const T=M=>{const{defaultEdgeOptions:V,onConnect:B,hasDefaultEdges:A}=x.getState(),N={...V,...M};if(A){const{edges:D,setEdges:U}=x.getState();U(wB(N,D))}B==null||B(N),a==null||a(N)},E=M=>{if(!_)return;const V=yB(M);i&&(V&&M.button===0||!V)&&OB({event:M,handleId:m,nodeId:_,onConnect:T,isTarget:v,getState:x.getState,setState:x.setState,isValidConnection:n||x.getState().isValidConnection||rO}),V?d==null||d(M):f==null||f(M)},P=M=>{const{onClickConnectStart:V,onClickConnectEnd:B,connectionClickStartHandle:A,connectionMode:N,isValidConnection:D}=x.getState();if(!_||!A&&!i)return;if(!A){V==null||V(M,{nodeId:_,handleId:m,handleType:e}),x.setState({connectionClickStartHandle:{nodeId:_,type:e,handleId:m}});return}const U=hB(M.target),$=n||D||rO,{connection:j,isValid:G}=RB({nodeId:_,id:m,type:e},N,A.nodeId,A.handleId||null,A.type,$,U);G&&T(j),B==null||B(M),x.setState({connectionClickStartHandle:null})};return ue.jsx("div",{"data-handleid":m,"data-nodeid":_,"data-handlepos":t,"data-id":`${_}-${m}-${e}`,className:$o(["react-flow__handle",`react-flow__handle-${t}`,"nodrag",y,u,{source:!v,target:v,connectable:r,connectablestart:i,connectableend:o,connecting:C,connectionindicator:r&&(i&&!S||o&&S)}]),onMouseDown:E,onTouchStart:E,onClick:b?P:void 0,ref:g,...h,children:l})});kB.displayName="Handle";var e_=L.memo(kB);const IB=({data:e,isConnectable:t,targetPosition:n=Ue.Top,sourcePosition:r=Ue.Bottom})=>ue.jsxs(ue.Fragment,{children:[ue.jsx(e_,{type:"target",position:n,isConnectable:t}),e==null?void 0:e.label,ue.jsx(e_,{type:"source",position:r,isConnectable:t})]});IB.displayName="DefaultNode";var o5=L.memo(IB);const MB=({data:e,isConnectable:t,sourcePosition:n=Ue.Bottom})=>ue.jsxs(ue.Fragment,{children:[e==null?void 0:e.label,ue.jsx(e_,{type:"source",position:n,isConnectable:t})]});MB.displayName="InputNode";var NB=L.memo(MB);const LB=({data:e,isConnectable:t,targetPosition:n=Ue.Top})=>ue.jsxs(ue.Fragment,{children:[ue.jsx(e_,{type:"target",position:n,isConnectable:t}),e==null?void 0:e.label]});LB.displayName="OutputNode";var DB=L.memo(LB);const mE=()=>null;mE.displayName="GroupNode";const Fme=e=>({selectedNodes:e.getNodes().filter(t=>t.selected),selectedEdges:e.edges.filter(t=>t.selected)}),U0=e=>e.id;function Bme(e,t){return Bi(e.selectedNodes.map(U0),t.selectedNodes.map(U0))&&Bi(e.selectedEdges.map(U0),t.selectedEdges.map(U0))}const $B=L.memo(({onSelectionChange:e})=>{const t=ii(),{selectedNodes:n,selectedEdges:r}=Gn(Fme,Bme);return L.useEffect(()=>{var o,s;const i={nodes:n,edges:r};e==null||e(i),(s=(o=t.getState()).onSelectionChange)==null||s.call(o,i)},[n,r,e]),null});$B.displayName="SelectionListener";const Ume=e=>!!e.onSelectionChange;function zme({onSelectionChange:e}){const t=Gn(Ume);return e||t?ue.jsx($B,{onSelectionChange:e}):null}const 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t=({id:n,className:r,type:i,data:o,onClick:s,onEdgeDoubleClick:a,selected:l,animated:u,label:d,labelStyle:f,labelShowBg:h,labelBgStyle:g,labelBgPadding:m,labelBgBorderRadius:v,style:x,source:_,target:b,sourceX:y,sourceY:S,targetX:C,targetY:T,sourcePosition:E,targetPosition:P,elementsSelectable:k,hidden:O,sourceHandleId:M,targetHandleId:V,onContextMenu:B,onMouseEnter:A,onMouseMove:N,onMouseLeave:D,edgeUpdaterRadius:U,onEdgeUpdate:$,onEdgeUpdateStart:j,onEdgeUpdateEnd:G,markerEnd:q,markerStart:Z,rfId:ee,ariaLabel:ie,isFocusable:se,isUpdatable:le,pathOptions:W,interactionWidth:ne})=>{const fe=L.useRef(null),[pe,ve]=L.useState(!1),[ye,Je]=L.useState(!1),Fe=ii(),Ae=L.useMemo(()=>`url(#${i5(Z,ee)})`,[Z,ee]),vt=L.useMemo(()=>`url(#${i5(q,ee)})`,[q,ee]);if(O)return null;const _e=mn=>{const{edges:Zt,addSelectedEdges:Rr}=Fe.getState();if(k&&(Fe.setState({nodesSelectionActive:!1}),Rr([n])),s){const 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s=o.keySeparator!==void 0?o.keySeparator:this.options.keySeparator;let a=[t,n];r&&(a=a.concat(s?r.split(s):r)),t.indexOf(".")>-1&&(a=t.split("."),i=n,n=a[1]),this.addNamespaces(n),MO(this.data,a,i),o.silent||this.emit("added",t,n,r,i)}addResources(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{silent:!1};for(const o in r)(typeof r[o]=="string"||Object.prototype.toString.apply(r[o])==="[object Array]")&&this.addResource(t,n,o,r[o],{silent:!0});i.silent||this.emit("added",t,n,r)}addResourceBundle(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{silent:!1},a=[t,n];t.indexOf(".")>-1&&(a=t.split("."),i=r,r=n,n=a[1]),this.addNamespaces(n);let l=o_(this.data,a)||{};i?FU(l,r,o):l={...l,...r},MO(this.data,a,l),s.silent||this.emit("added",t,n,r)}removeResourceBundle(t,n){this.hasResourceBundle(t,n)&&delete this.data[t][n],this.removeNamespaces(n),this.emit("removed",t,n)}hasResourceBundle(t,n){return this.getResource(t,n)!==void 0}getResourceBundle(t,n){return n||(n=this.options.defaultNS),this.options.compatibilityAPI==="v1"?{...this.getResource(t,n)}:this.getResource(t,n)}getDataByLanguage(t){return this.data[t]}hasLanguageSomeTranslations(t){const n=this.getDataByLanguage(t);return!!(n&&Object.keys(n)||[]).find(i=>n[i]&&Object.keys(n[i]).length>0)}toJSON(){return this.data}}var BU={processors:{},addPostProcessor(e){this.processors[e.name]=e},handle(e,t,n,r,i){return e.forEach(o=>{this.processors[o]&&(t=this.processors[o].process(t,n,r,i))}),t}};const LO={};class l_ extends hS{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};super(),g1e(["resourceStore","languageUtils","pluralResolver","interpolator","backendConnector","i18nFormat","utils"],t,this),this.options=n,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.logger=Bs.create("translator")}changeLanguage(t){t&&(this.language=t)}exists(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}};if(t==null)return!1;const r=this.resolve(t,n);return r&&r.res!==void 0}extractFromKey(t,n){let r=n.nsSeparator!==void 0?n.nsSeparator:this.options.nsSeparator;r===void 0&&(r=":");const i=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator;let o=n.ns||this.options.defaultNS||[];const s=r&&t.indexOf(r)>-1,a=!this.options.userDefinedKeySeparator&&!n.keySeparator&&!this.options.userDefinedNsSeparator&&!n.nsSeparator&&!S1e(t,r,i);if(s&&!a){const l=t.match(this.interpolator.nestingRegexp);if(l&&l.length>0)return{key:t,namespaces:o};const u=t.split(r);(r!==i||r===i&&this.options.ns.indexOf(u[0])>-1)&&(o=u.shift()),t=u.join(i)}return typeof o=="string"&&(o=[o]),{key:t,namespaces:o}}translate(t,n,r){if(typeof n!="object"&&this.options.overloadTranslationOptionHandler&&(n=this.options.overloadTranslationOptionHandler(arguments)),typeof n=="object"&&(n={...n}),n||(n={}),t==null)return"";Array.isArray(t)||(t=[String(t)]);const i=n.returnDetails!==void 0?n.returnDetails:this.options.returnDetails,o=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator,{key:s,namespaces:a}=this.extractFromKey(t[t.length-1],n),l=a[a.length-1],u=n.lng||this.language,d=n.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(u&&u.toLowerCase()==="cimode"){if(d){const S=n.nsSeparator||this.options.nsSeparator;return i?{res:`${l}${S}${s}`,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:`${l}${S}${s}`}return i?{res:s,usedKey:s,exactUsedKey:s,usedLng:u,usedNS:l}:s}const f=this.resolve(t,n);let h=f&&f.res;const g=f&&f.usedKey||s,m=f&&f.exactUsedKey||s,v=Object.prototype.toString.apply(h),x=["[object Number]","[object Function]","[object RegExp]"],_=n.joinArrays!==void 0?n.joinArrays:this.options.joinArrays,b=!this.i18nFormat||this.i18nFormat.handleAsObject;if(b&&h&&(typeof h!="string"&&typeof h!="boolean"&&typeof h!="number")&&x.indexOf(v)<0&&!(typeof _=="string"&&v==="[object Array]")){if(!n.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const S=this.options.returnedObjectHandler?this.options.returnedObjectHandler(g,h,{...n,ns:a}):`key '${s} (${this.language})' returned an object instead of string.`;return i?(f.res=S,f):S}if(o){const S=v==="[object Array]",C=S?[]:{},T=S?m:g;for(const E in h)if(Object.prototype.hasOwnProperty.call(h,E)){const P=`${T}${o}${E}`;C[E]=this.translate(P,{...n,joinArrays:!1,ns:a}),C[E]===P&&(C[E]=h[E])}h=C}}else if(b&&typeof _=="string"&&v==="[object Array]")h=h.join(_),h&&(h=this.extendTranslation(h,t,n,r));else{let S=!1,C=!1;const T=n.count!==void 0&&typeof n.count!="string",E=l_.hasDefaultValue(n),P=T?this.pluralResolver.getSuffix(u,n.count,n):"",k=n.ordinal&&T?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",O=n[`defaultValue${P}`]||n[`defaultValue${k}`]||n.defaultValue;!this.isValidLookup(h)&&E&&(S=!0,h=O),this.isValidLookup(h)||(C=!0,h=s);const V=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&C?void 0:h,B=E&&O!==h&&this.options.updateMissing;if(C||S||B){if(this.logger.log(B?"updateKey":"missingKey",u,l,s,B?O:h),o){const U=this.resolve(s,{...n,keySeparator:!1});U&&U.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let A=[];const N=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&N&&N[0])for(let U=0;U<N.length;U++)A.push(N[U]);else this.options.saveMissingTo==="all"?A=this.languageUtils.toResolveHierarchy(n.lng||this.language):A.push(n.lng||this.language);const D=(U,$,j)=>{const G=E&&j!==h?j:V;this.options.missingKeyHandler?this.options.missingKeyHandler(U,l,$,G,B,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(U,l,$,G,B,n),this.emit("missingKey",U,l,$,h)};this.options.saveMissing&&(this.options.saveMissingPlurals&&T?A.forEach(U=>{this.pluralResolver.getSuffixes(U,n).forEach($=>{D([U],s+$,n[`defaultValue${$}`]||O)})}):D(A,s,O))}h=this.extendTranslation(h,t,n,f,r),C&&h===s&&this.options.appendNamespaceToMissingKey&&(h=`${l}:${s}`),(C||S)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?h=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${s}`:s,S?h:void 0):h=this.options.parseMissingKeyHandler(h))}return i?(f.res=h,f):h}extendTranslation(t,n,r,i,o){var s=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let d;if(u){const h=t.match(this.interpolator.nestingRegexp);d=h&&h.length}let f=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(f={...this.options.interpolation.defaultVariables,...f}),t=this.interpolator.interpolate(t,f,r.lng||this.language,r),u){const h=t.match(this.interpolator.nestingRegexp),g=h&&h.length;d<g&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var h=arguments.length,g=new Array(h),m=0;m<h;m++)g[m]=arguments[m];return o&&o[0]===g[0]&&!r.context?(s.logger.warn(`It seems you are nesting recursively key: ${g[0]} in key: ${n[0]}`),null):s.translate(...g,n)},r)),r.interpolation&&this.interpolator.reset()}const a=r.postProcess||this.options.postProcess,l=typeof a=="string"?[a]:a;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=BU.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,s,a;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),d=u.key;i=d;let f=u.namespaces;this.options.fallbackNS&&(f=f.concat(this.options.fallbackNS));const h=n.count!==void 0&&typeof n.count!="string",g=h&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),m=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",v=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);f.forEach(x=>{this.isValidLookup(r)||(a=x,!LO[`${v[0]}-${x}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(a)&&(LO[`${v[0]}-${x}`]=!0,this.logger.warn(`key "${i}" for languages "${v.join(", ")}" won't get resolved as namespace "${a}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),v.forEach(_=>{if(this.isValidLookup(r))return;s=_;const b=[d];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(b,d,_,x,n);else{let S;h&&(S=this.pluralResolver.getSuffix(_,n.count,n));const C=`${this.options.pluralSeparator}zero`,T=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(h&&(b.push(d+S),n.ordinal&&S.indexOf(T)===0&&b.push(d+S.replace(T,this.options.pluralSeparator)),g&&b.push(d+C)),m){const E=`${d}${this.options.contextSeparator}${n.context}`;b.push(E),h&&(b.push(E+S),n.ordinal&&S.indexOf(T)===0&&b.push(E+S.replace(T,this.options.pluralSeparator)),g&&b.push(E+C))}}let y;for(;y=b.pop();)this.isValidLookup(r)||(o=y,r=this.getResource(_,x,y,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:s,usedNS:a}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function Vx(e){return e.charAt(0).toUpperCase()+e.slice(1)}class DO{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=Bs.create("languageUtils")}getScriptPartFromCode(t){if(t=a_(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=a_(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Vx(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Vx(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=Vx(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let w1e=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],x1e={1:function(e){return+(e>1)},2:function(e){return+(e!=1)},3:function(e){return 0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const C1e=["v1","v2","v3"],T1e=["v4"],$O={zero:0,one:1,two:2,few:3,many:4,other:5};function E1e(){const e={};return w1e.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:x1e[t.fc]}})}),e}class A1e{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=Bs.create("pluralResolver"),(!this.options.compatibilityJSON||T1e.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. 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r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>$O[i]-$O[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof i=="number"?`_plural_${i.toString()}`:o():this.options.compatibilityJSON==="v2"||this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1?o():this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString()}shouldUseIntlApi(){return!C1e.includes(this.options.compatibilityJSON)}}function FO(e,t,n){let r=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=y1e(e,t,n);return!o&&i&&typeof n=="string"&&(o=s_(e,n,r),o===void 0&&(o=s_(t,n,r))),o}class P1e{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Bs.create("interpolator"),this.options=t,this.format=t.interpolation&&t.interpolation.format||(n=>n),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const n=t.interpolation;this.escape=n.escape!==void 0?n.escape:_1e,this.escapeValue=n.escapeValue!==void 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0?i.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:m=>u(m)},{regex:this.regexp,safeValue:m=>this.escapeValue?u(this.escape(m)):u(m)}].forEach(m=>{for(a=0;o=m.regex.exec(t);){const v=o[1].trim();if(s=d(v),s===void 0)if(typeof f=="function"){const _=f(t,o,i);s=typeof _=="string"?_:""}else if(i&&Object.prototype.hasOwnProperty.call(i,v))s="";else if(h){s=o[0];continue}else this.logger.warn(`missed to pass in variable ${v} for interpolating ${t}`),s="";else typeof s!="string"&&!this.useRawValueToEscape&&(s=IO(s));const x=m.safeValue(s);if(t=t.replace(o[0],x),h?(m.regex.lastIndex+=s.length,m.regex.lastIndex-=o[0].length):m.regex.lastIndex=0,a++,a>=this.maxReplaces)break}}),t}nest(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i,o,s;function a(l,u){const d=this.nestingOptionsSeparator;if(l.indexOf(d)<0)return l;const f=l.split(new RegExp(`${d}[ ]*{`));let h=`{${f[1]}`;l=f[0],h=this.interpolate(h,s);const g=h.match(/'/g),m=h.match(/"/g);(g&&g.length%2===0&&!m||m.length%2!==0)&&(h=h.replace(/'/g,'"'));try{s=JSON.parse(h),u&&(s={...u,...s})}catch(v){return this.logger.warn(`failed parsing options string in nesting for key ${l}`,v),`${l}${d}${h}`}return delete s.defaultValue,l}for(;i=this.nestingRegexp.exec(t);){let l=[];s={...r},s=s.replace&&typeof s.replace!="string"?s.replace:s,s.applyPostProcessor=!1,delete s.defaultValue;let u=!1;if(i[0].indexOf(this.formatSeparator)!==-1&&!/{.*}/.test(i[1])){const d=i[1].split(this.formatSeparator).map(f=>f.trim());i[1]=d.shift(),l=d,u=!0}if(o=n(a.call(this,i[1].trim(),s),s),o&&i[0]===t&&typeof o!="string")return o;typeof o!="string"&&(o=IO(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((d,f)=>this.format(d,f,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function R1e(e){let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[a.trim()]||(n[a.trim()]=u),u==="false"&&(n[a.trim()]=!1),u==="true"&&(n[a.trim()]=!0),isNaN(u)||(n[a.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function wd(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(a_(i),o),t[s]=a),a(r)}}class O1e{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Bs.create("formatter"),this.options=t,this.formats={number:wd((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:wd((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return o=>i.format(o)}),datetime:wd((n,r)=>{const i=new Intl.DateTimeFormat(n,{...r});return o=>i.format(o)}),relativetime:wd((n,r)=>{const i=new Intl.RelativeTimeFormat(n,{...r});return o=>i.format(o,r.range||"day")}),list:wd((n,r)=>{const i=new Intl.ListFormat(n,{...r});return o=>i.format(o)})},this.init(t)}init(t){const r=(arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}}).interpolation;this.formatSeparator=r.formatSeparator?r.formatSeparator:r.formatSeparator||","}add(t,n){this.formats[t.toLowerCase().trim()]=n}addCached(t,n){this.formats[t.toLowerCase().trim()]=wd(n)}format(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return n.split(this.formatSeparator).reduce((a,l)=>{const{formatName:u,formatOptions:d}=R1e(l);if(this.formats[u]){let f=a;try{const h=i&&i.formatParams&&i.formatParams[i.interpolationkey]||{},g=h.locale||h.lng||i.locale||i.lng||r;f=this.formats[u](a,g,{...d,...i,...h})}catch(h){this.logger.warn(h)}return f}else this.logger.warn(`there was no format function for ${u}`);return a},t)}}function k1e(e,t){e.pending[t]!==void 0&&(delete e.pending[t],e.pendingCount--)}class I1e extends hS{constructor(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};super(),this.backend=t,this.store=n,this.services=r,this.languageUtils=r.languageUtils,this.options=i,this.logger=Bs.create("backendConnector"),this.waitingReads=[],this.maxParallelReads=i.maxParallelReads||10,this.readingCalls=0,this.maxRetries=i.maxRetries>=0?i.maxRetries:5,this.retryTimeout=i.retryTimeout>=1?i.retryTimeout:350,this.state={},this.queue=[],this.backend&&this.backend.init&&this.backend.init(r,i.backend,i)}queueLoad(t,n,r,i){const o={},s={},a={},l={};return t.forEach(u=>{let d=!0;n.forEach(f=>{const h=`${u}|${f}`;!r.reload&&this.store.hasResourceBundle(u,f)?this.state[h]=2:this.state[h]<0||(this.state[h]===1?s[h]===void 0&&(s[h]=!0):(this.state[h]=1,d=!1,s[h]===void 0&&(s[h]=!0),o[h]===void 0&&(o[h]=!0),l[f]===void 0&&(l[f]=!0)))}),d||(a[u]=!0)}),(Object.keys(o).length||Object.keys(s).length)&&this.queue.push({pending:s,pendingCount:Object.keys(s).length,loaded:{},errors:[],callback:i}),{toLoad:Object.keys(o),pending:Object.keys(s),toLoadLanguages:Object.keys(a),toLoadNamespaces:Object.keys(l)}}loaded(t,n,r){const i=t.split("|"),o=i[0],s=i[1];n&&this.emit("failedLoading",o,s,n),r&&this.store.addResourceBundle(o,s,r),this.state[t]=n?-1:2;const a={};this.queue.forEach(l=>{m1e(l.loaded,[o],s),k1e(l,t),n&&l.errors.push(n),l.pendingCount===0&&!l.done&&(Object.keys(l.loaded).forEach(u=>{a[u]||(a[u]={});const d=l.loaded[u];d.length&&d.forEach(f=>{a[u][f]===void 0&&(a[u][f]=!0)})}),l.done=!0,l.errors.length?l.callback(l.errors):l.callback())}),this.emit("loaded",a),this.queue=this.queue.filter(l=>!l.done)}read(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:0,o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:this.retryTimeout,s=arguments.length>5?arguments[5]:void 0;if(!t.length)return s(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:t,ns:n,fcName:r,tried:i,wait:o,callback:s});return}this.readingCalls++;const a=(u,d)=>{if(this.readingCalls--,this.waitingReads.length>0){const f=this.waitingReads.shift();this.read(f.lng,f.ns,f.fcName,f.tried,f.wait,f.callback)}if(u&&d&&i<this.maxRetries){setTimeout(()=>{this.read.call(this,t,n,r,i+1,o*2,s)},o);return}s(u,d)},l=this.backend[r].bind(this.backend);if(l.length===2){try{const u=l(t,n);u&&typeof u.then=="function"?u.then(d=>a(null,d)).catch(a):a(null,u)}catch(u){a(u)}return}return l(t,n,a)}prepareLoading(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i=arguments.length>3?arguments[3]:void 0;if(!this.backend)return this.logger.warn("No backend was added via i18next.use. 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You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...s,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let d;u.length===5?d=u(t,n,r,i,l):d=u(t,n,r,i),d&&typeof d.then=="function"?d.then(f=>a(null,f)).catch(a):a(null,d)}catch(d){a(d)}else u(t,n,r,i,a,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function BO(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function UO(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function V0(){}function M1e(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class Kg extends hS{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=UO(t),this.services={},this.logger=Bs,this.modules={external:[]},M1e(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=BO();this.options={...i,...this.options,...UO(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(d){return d?typeof d=="function"?new d:d:null}if(!this.options.isClone){this.modules.logger?Bs.init(o(this.modules.logger),this.options):Bs.init(null,this.options);let d;this.modules.formatter?d=this.modules.formatter:typeof Intl<"u"&&(d=O1e);const f=new DO(this.options);this.store=new NO(this.options.resources,this.options);const h=this.services;h.logger=Bs,h.resourceStore=this.store,h.languageUtils=f,h.pluralResolver=new A1e(f,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),d&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(h.formatter=o(d),h.formatter.init(h,this.options),this.options.interpolation.format=h.formatter.format.bind(h.formatter)),h.interpolator=new P1e(this.options),h.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},h.backendConnector=new I1e(o(this.modules.backend),h.resourceStore,h,this.options),h.backendConnector.on("*",function(g){for(var m=arguments.length,v=new Array(m>1?m-1:0),x=1;x<m;x++)v[x-1]=arguments[x];t.emit(g,...v)}),this.modules.languageDetector&&(h.languageDetector=o(this.modules.languageDetector),h.languageDetector.init&&h.languageDetector.init(h,this.options.detection,this.options)),this.modules.i18nFormat&&(h.i18nFormat=o(this.modules.i18nFormat),h.i18nFormat.init&&h.i18nFormat.init(this)),this.translator=new l_(this.services,this.options),this.translator.on("*",function(g){for(var m=arguments.length,v=new Array(m>1?m-1:0),x=1;x<m;x++)v[x-1]=arguments[x];t.emit(g,...v)}),this.modules.external.forEach(g=>{g.init&&g.init(this)})}if(this.format=this.options.interpolation.format,r||(r=V0),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const d=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);d.length>0&&d[0]!=="dev"&&(this.options.lng=d[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is defined"),["getResource","hasResourceBundle","getResourceBundle","getDataByLanguage"].forEach(d=>{this[d]=function(){return t.store[d](...arguments)}}),["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(d=>{this[d]=function(){return t.store[d](...arguments),t}});const l=cp(),u=()=>{const d=(f,h)=>{this.isInitialized&&!this.initializedStoreOnce&&this.logger.warn("init: i18next is already initialized. You should call init just once!"),this.isInitialized=!0,this.options.isClone||this.logger.log("initialized",this.options),this.emit("initialized",this.options),l.resolve(h),r(f,h)};if(this.languages&&this.options.compatibilityAPI!=="v1"&&!this.isInitialized)return d(null,this.t.bind(this));this.changeLanguage(this.options.lng,d)};return this.options.resources||!this.options.initImmediate?u():setTimeout(u,0),l}loadResources(t){let r=arguments.length>1&&arguments[1]!==void 0?arguments[1]:V0;const i=typeof t=="string"?t:this.language;if(typeof t=="function"&&(r=t),!this.options.resources||this.options.partialBundledLanguages){if(i&&i.toLowerCase()==="cimode")return r();const o=[],s=a=>{if(!a)return;this.services.languageUtils.toResolveHierarchy(a).forEach(u=>{o.indexOf(u)<0&&o.push(u)})};i?s(i):this.services.languageUtils.getFallbackCodes(this.options.fallbackLng).forEach(l=>s(l)),this.options.preload&&this.options.preload.forEach(a=>s(a)),this.services.backendConnector.load(o,this.options.ns,a=>{!a&&!this.resolvedLanguage&&this.language&&this.setResolvedLanguage(this.language),r(a)})}else r(null)}reloadResources(t,n,r){const i=cp();return t||(t=this.languages),n||(n=this.options.ns),r||(r=V0),this.services.backendConnector.reload(t,n,o=>{i.resolve(),r(o)}),i}use(t){if(!t)throw new Error("You are passing an undefined module! Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&BU.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1))for(let n=0;n<this.languages.length;n++){const r=this.languages[n];if(!(["cimode","dev"].indexOf(r)>-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=cp();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,d=>{s(d,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,d=new Array(u>2?u-2:0),f=2;f<u;f++)d[f-2]=arguments[f];l=i.options.overloadTranslationOptionHandler([s,a].concat(d))}else l={...a};l.lng=l.lng||o.lng,l.lngs=l.lngs||o.lngs,l.ns=l.ns||o.ns,l.keyPrefix=l.keyPrefix||r||o.keyPrefix;const h=i.options.keySeparator||".";let g;return l.keyPrefix&&Array.isArray(s)?g=s.map(m=>`${l.keyPrefix}${h}${m}`):g=l.keyPrefix?`${l.keyPrefix}${h}${s}`:s,i.t(g,l)};return typeof t=="string"?o.lng=t:o.lngs=t,o.ns=n,o.keyPrefix=r,o}t(){return this.translator&&this.translator.translate(...arguments)}exists(){return this.translator&&this.translator.exists(...arguments)}setDefaultNamespace(t){this.options.defaultNS=t}hasLoadedNamespace(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(!this.isInitialized)return this.logger.warn("hasLoadedNamespace: i18next was not initialized",this.languages),!1;if(!this.languages||!this.languages.length)return this.logger.warn("hasLoadedNamespace: i18n.languages were undefined or empty",this.languages),!1;const r=n.lng||this.resolvedLanguage||this.languages[0],i=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(r.toLowerCase()==="cimode")return!0;const s=(a,l)=>{const u=this.services.backendConnector.state[`${a}|${l}`];return u===-1||u===2};if(n.precheck){const a=n.precheck(this,s);if(a!==void 0)return a}return!!(this.hasResourceBundle(r,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||s(r,t)&&(!i||s(o,t)))}loadNamespaces(t,n){const r=cp();return this.options.ns?(typeof t=="string"&&(t=[t]),t.forEach(i=>{this.options.ns.indexOf(i)<0&&this.options.ns.push(i)}),this.loadResources(i=>{r.resolve(),n&&n(i)}),r):(n&&n(),Promise.resolve())}loadLanguages(t,n){const r=cp();typeof t=="string"&&(t=[t]);const i=this.options.preload||[],o=t.filter(s=>i.indexOf(s)<0);return o.length?(this.options.preload=i.concat(o),this.loadResources(s=>{r.resolve(),n&&n(s)}),r):(n&&n(),Promise.resolve())}dir(t){if(t||(t=this.resolvedLanguage||(this.languages&&this.languages.length>0?this.languages[0]:this.language)),!t)return"rtl";const n=["ar","shu","sqr","ssh","xaa","yhd","yud","aao","abh","abv","acm","acq","acw","acx","acy","adf","ads","aeb","aec","afb","ajp","apc","apd","arb","arq","ars","ary","arz","auz","avl","ayh","ayl","ayn","ayp","bbz","pga","he","iw","ps","pbt","pbu","pst","prp","prd","ug","ur","ydd","yds","yih","ji","yi","hbo","men","xmn","fa","jpr","peo","pes","prs","dv","sam","ckb"],r=this.services&&this.services.languageUtils||new DO(BO());return n.indexOf(r.getLanguagePartFromCode(t))>-1||t.toLowerCase().indexOf("-arab")>1?"rtl":"ltr"}static createInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;return new Kg(t,n)}cloneInstance(){let t=arguments.length>0&&arguments[0]!==void 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Look at Konva change log for more information.";o.prototype[u]=function(){t.Util.error(d);var f=this.attrs[s];return f===void 0?a:f},e.Factory.addSetter(o,s,l,function(){t.Util.error(d)}),e.Factory.addOverloadedGetterSetter(o,s)},backCompat(o,s){t.Util.each(s,function(a,l){var u=o.prototype[l],d=r+t.Util._capitalize(a),f=i+t.Util._capitalize(a);function h(){u.apply(this,arguments),t.Util.error('"'+a+'" method is deprecated and will be removed soon. Use ""'+l+'" instead.')}o.prototype[a]=h,o.prototype[d]=h,o.prototype[f]=h})},afterSetFilter(){this._filterUpToDate=!1}}})(dt);var ds={},Na={};Object.defineProperty(Na,"__esModule",{value:!0});Na.HitContext=Na.SceneContext=Na.Context=void 0;const pz=kn,zSe=ft;function VSe(e){var t=[],n=e.length,r=pz.Util,i,o;for(i=0;i<n;i++)o=e[i],r._isNumber(o)?o=Math.round(o*1e3)/1e3:r._isString(o)||(o=o+""),t.push(o);return t}var ik=",",jSe="(",GSe=")",HSe="([",WSe="])",qSe=";",KSe="()",XSe="=",ok=["arc","arcTo","beginPath","bezierCurveTo","clearRect","clip","closePath","createLinearGradient","createPattern","createRadialGradient","drawImage","ellipse","fill","fillText","getImageData","createImageData","lineTo","moveTo","putImageData","quadraticCurveTo","rect","restore","rotate","save","scale","setLineDash","setTransform","stroke","strokeText","transform","translate"],YSe=["fillStyle","strokeStyle","shadowColor","shadowBlur","shadowOffsetX","shadowOffsetY","lineCap","lineDashOffset","lineJoin","lineWidth","miterLimit","font","textAlign","textBaseline","globalAlpha","globalCompositeOperation","imageSmoothingEnabled"];const QSe=100;class vS{constructor(t){this.canvas=t,zSe.Konva.enableTrace&&(this.traceArr=[],this._enableTrace())}fillShape(t){t.fillEnabled()&&this._fill(t)}_fill(t){}strokeShape(t){t.hasStroke()&&this._stroke(t)}_stroke(t){}fillStrokeShape(t){t.attrs.fillAfterStrokeEnabled?(this.strokeShape(t),this.fillShape(t)):(this.fillShape(t),this.strokeShape(t))}getTrace(t,n){var r=this.traceArr,i=r.length,o="",s,a,l,u;for(s=0;s<i;s++)a=r[s],l=a.method,l?(u=a.args,o+=l,t?o+=KSe:pz.Util._isArray(u[0])?o+=HSe+u.join(ik)+WSe:(n&&(u=u.map(d=>typeof d=="number"?Math.floor(d):d)),o+=jSe+u.join(ik)+GSe)):(o+=a.property,t||(o+=XSe+a.val)),o+=qSe;return o}clearTrace(){this.traceArr=[]}_trace(t){var n=this.traceArr,r;n.push(t),r=n.length,r>=QSe&&n.shift()}reset(){var t=this.getCanvas().getPixelRatio();this.setTransform(1*t,0,0,1*t,0,0)}getCanvas(){return this.canvas}clear(t){var n=this.getCanvas();t?this.clearRect(t.x||0,t.y||0,t.width||0,t.height||0):this.clearRect(0,0,n.getWidth()/n.pixelRatio,n.getHeight()/n.pixelRatio)}_applyLineCap(t){const n=t.attrs.lineCap;n&&this.setAttr("lineCap",n)}_applyOpacity(t){var n=t.getAbsoluteOpacity();n!==1&&this.setAttr("globalAlpha",n)}_applyLineJoin(t){const n=t.attrs.lineJoin;n&&this.setAttr("lineJoin",n)}setAttr(t,n){this._context[t]=n}arc(t,n,r,i,o,s){this._context.arc(t,n,r,i,o,s)}arcTo(t,n,r,i,o){this._context.arcTo(t,n,r,i,o)}beginPath(){this._context.beginPath()}bezierCurveTo(t,n,r,i,o,s){this._context.bezierCurveTo(t,n,r,i,o,s)}clearRect(t,n,r,i){this._context.clearRect(t,n,r,i)}clip(...t){this._context.clip.apply(this._context,t)}closePath(){this._context.closePath()}createImageData(t,n){var r=arguments;if(r.length===2)return this._context.createImageData(t,n);if(r.length===1)return this._context.createImageData(t)}createLinearGradient(t,n,r,i){return this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,s){return this._context.createRadialGradient(t,n,r,i,o,s)}drawImage(t,n,r,i,o,s,a,l,u){var d=arguments,f=this._context;d.length===3?f.drawImage(t,n,r):d.length===5?f.drawImage(t,n,r,i,o):d.length===9&&f.drawImage(t,n,r,i,o,s,a,l,u)}ellipse(t,n,r,i,o,s,a,l){this._context.ellipse(t,n,r,i,o,s,a,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return this._context.getImageData(t,n,r,i)}lineTo(t,n){this._context.lineTo(t,n)}moveTo(t,n){this._context.moveTo(t,n)}rect(t,n,r,i){this._context.rect(t,n,r,i)}putImageData(t,n,r){this._context.putImageData(t,n,r)}quadraticCurveTo(t,n,r,i){this._context.quadraticCurveTo(t,n,r,i)}restore(){this._context.restore()}rotate(t){this._context.rotate(t)}save(){this._context.save()}scale(t,n){this._context.scale(t,n)}setLineDash(t){this._context.setLineDash?this._context.setLineDash(t):"mozDash"in this._context?this._context.mozDash=t:"webkitLineDash"in this._context&&(this._context.webkitLineDash=t)}getLineDash(){return this._context.getLineDash()}setTransform(t,n,r,i,o,s){this._context.setTransform(t,n,r,i,o,s)}stroke(t){t?this._context.stroke(t):this._context.stroke()}strokeText(t,n,r,i){this._context.strokeText(t,n,r,i)}transform(t,n,r,i,o,s){this._context.transform(t,n,r,i,o,s)}translate(t,n){this._context.translate(t,n)}_enableTrace(){var t=this,n=ok.length,r=this.setAttr,i,o,s=function(a){var l=t[a],u;t[a]=function(){return o=VSe(Array.prototype.slice.call(arguments,0)),u=l.apply(t,arguments),t._trace({method:a,args:o}),u}};for(i=0;i<n;i++)s(ok[i]);t.setAttr=function(){r.apply(t,arguments);var a=arguments[0],l=arguments[1];(a==="shadowOffsetX"||a==="shadowOffsetY"||a==="shadowBlur")&&(l=l/this.canvas.getPixelRatio()),t._trace({property:a,val:l})}}_applyGlobalCompositeOperation(t){const n=t.attrs.globalCompositeOperation;var r=!n||n==="source-over";r||this.setAttr("globalCompositeOperation",n)}}Na.Context=vS;YSe.forEach(function(e){Object.defineProperty(vS.prototype,e,{get(){return this._context[e]},set(t){this._context[e]=t}})});class ZSe extends vS{constructor(t,{willReadFrequently:n=!1}={}){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:n})}_fillColor(t){var n=t.fill();this.setAttr("fillStyle",n),t._fillFunc(this)}_fillPattern(t){this.setAttr("fillStyle",t._getFillPattern()),t._fillFunc(this)}_fillLinearGradient(t){var n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",s=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,a=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),d=l.x*u,f=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",s*Math.min(Math.abs(d),Math.abs(f))),this.setAttr("shadowOffsetX",a.x*d),this.setAttr("shadowOffsetY",a.y*f)}}Na.SceneContext=ZSe;class JSe extends vS{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}Na.HitContext=JSe;Object.defineProperty(ds,"__esModule",{value:!0});ds.HitCanvas=ds.SceneCanvas=ds.Canvas=void 0;const f_=kn,gz=Na,mz=ft,e2e=dt,t2e=De;var W0;function n2e(){if(W0)return W0;var e=f_.Util.createCanvasElement(),t=e.getContext("2d");return W0=function(){var n=mz.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),f_.Util.releaseCanvas(e),W0}class _S{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||mz.Konva.pixelRatio||n2e();this.pixelRatio=r,this._canvas=f_.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return f_.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}ds.Canvas=_S;e2e.Factory.addGetterSetter(_S,"pixelRatio",void 0,(0,t2e.getNumberValidator)());class r2e extends _S{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new gz.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}ds.SceneCanvas=r2e;class i2e extends _S{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new gz.HitContext(this),this.setSize(t.width,t.height)}}ds.HitCanvas=i2e;var bS={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=ft,n=kn;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(h=>h.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var d=a.dragDistance(),f=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(f<d||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(d=>d.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(bS);Object.defineProperty(wn,"__esModule",{value:!0});wn.Node=void 0;const bt=kn,Vm=dt,q0=ds,Du=ft,bo=bS,Hn=De;var Iv="absoluteOpacity",K0="allEventListeners",xa="absoluteTransform",sk="absoluteScale",$u="canvas",o2e="Change",s2e="children",a2e="konva",S5="listening",ak="mouseenter",lk="mouseleave",uk="set",ck="Shape",Mv=" ",dk="stage",_l="transform",l2e="Stage",w5="visible",u2e=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(Mv);let c2e=1;class Ke{constructor(t){this._id=c2e++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===_l||t===xa)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===_l||t===xa,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(Mv);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get($u)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===xa&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has($u)){const{scene:t,filter:n,hit:r}=this._cache.get($u);bt.Util.releaseCanvas(t,n,r),this._cache.delete($u)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,d=n.drawBorder||!1,f=n.hitCanvasPixelRatio||1;if(!i||!o){bt.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var h=new q0.SceneCanvas({pixelRatio:s,width:i,height:o}),g=new q0.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),m=new q0.HitCanvas({pixelRatio:f,width:i,height:o}),v=h.getContext(),x=m.getContext();return m.isCache=!0,h.isCache=!0,this._cache.delete($u),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(h.getContext()._context.imageSmoothingEnabled=!1,g.getContext()._context.imageSmoothingEnabled=!1),v.save(),x.save(),v.translate(-a,-l),x.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(Iv),this._clearSelfAndDescendantCache(sk),this.drawScene(h,this),this.drawHit(m,this),this._isUnderCache=!1,v.restore(),x.restore(),d&&(v.save(),v.beginPath(),v.rect(0,0,i,o),v.closePath(),v.setAttr("strokeStyle","red"),v.setAttr("lineWidth",5),v.stroke(),v.restore()),this._cache.set($u,{scene:h,filter:g,hit:m,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has($u)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var d=l.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var d=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/d,r.getHeight()/d),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){bt.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(f){bt.Util.error("Unable to apply filter. "+f.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(K0),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(Mv),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(Mv),i=r.length,o,s,a,l,u,d;if(this._cache&&this._cache.delete(K0),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],d=l[1],u)this.eventListeners[u]&&this._off(u,d,n);else for(s in this.eventListeners)this._off(s,d,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=bt.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),bo.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(xa),this._clearSelfAndDescendantCache(Iv),this._clearSelfAndDescendantCache(sk),this._clearSelfAndDescendantCache(dk),this._clearSelfAndDescendantCache(w5),this._clearSelfAndDescendantCache(S5)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+bt.Util._capitalize(t);return bt.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==s2e&&(r=uk+bt.Util._capitalize(n),bt.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(S5,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(w5,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;bo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!Du.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==ck&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==l2e&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(_l),this._clearSelfAndDescendantCache(xa)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new bt.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(_l);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(_l),this._clearSelfAndDescendantCache(xa),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return bt.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return bt.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return bt.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return bt.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return bt.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&bt.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(Iv,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=bt.Util.isObject(i)&&!bt.Util._isPlainObject(i)&&!bt.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),bt.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],bt.Util.isValidSelector(o)||(bt.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),bt.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),bt.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(dk,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(xa,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new bt.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(xa)||new bt.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(_l,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(_l)||new bt.Transform;r.reset();var i=this.x(),o=this.y(),s=Du.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,d=this.attrs.skewY||0,f=this.attrs.offsetX||0,h=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||d!==0)&&r.skew(u,d),(a!==1||l!==1)&&r.scale(a,l),(f!==0||h!==0)&&r.translate(-1*f,-1*h),r.dirty=!1,r}clone(t){var n=bt.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(a2e)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new q0.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,bt.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():Du.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+o2e,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[uk+bt.Util._capitalize(t)];return bt.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(Du.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!bt.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===ck&&(n.target=this);var i=(t===ak||t===lk)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===ak||t===lk)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(K0))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(K0,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;bo.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){bo.DD._dragElements.has(this._id)||this._createDragElement(t);const r=bo.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:bt.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=bo.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),bo.DD._endDragBefore(t),bo.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=bo.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||Du.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;bo.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=bo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&bo.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return bt.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return bt.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=Ke.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),Du.Konva[r]||(bt.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=Du.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(Ke._createNode(i[a]));return o}}wn.Node=Ke;Ke.prototype.nodeType="Node";Ke.prototype._attrsAffectingSize=[];Ke.prototype.eventListeners={};Ke.prototype.on.call(Ke.prototype,u2e,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(_l),this._clearSelfAndDescendantCache(xa)});Ke.prototype.on.call(Ke.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(w5)});Ke.prototype.on.call(Ke.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(S5)});Ke.prototype.on.call(Ke.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(Iv)});const tn=Vm.Factory.addGetterSetter;tn(Ke,"zIndex");tn(Ke,"absolutePosition");tn(Ke,"position");tn(Ke,"x",0,(0,Hn.getNumberValidator)());tn(Ke,"y",0,(0,Hn.getNumberValidator)());tn(Ke,"globalCompositeOperation","source-over",(0,Hn.getStringValidator)());tn(Ke,"opacity",1,(0,Hn.getNumberValidator)());tn(Ke,"name","",(0,Hn.getStringValidator)());tn(Ke,"id","",(0,Hn.getStringValidator)());tn(Ke,"rotation",0,(0,Hn.getNumberValidator)());Vm.Factory.addComponentsGetterSetter(Ke,"scale",["x","y"]);tn(Ke,"scaleX",1,(0,Hn.getNumberValidator)());tn(Ke,"scaleY",1,(0,Hn.getNumberValidator)());Vm.Factory.addComponentsGetterSetter(Ke,"skew",["x","y"]);tn(Ke,"skewX",0,(0,Hn.getNumberValidator)());tn(Ke,"skewY",0,(0,Hn.getNumberValidator)());Vm.Factory.addComponentsGetterSetter(Ke,"offset",["x","y"]);tn(Ke,"offsetX",0,(0,Hn.getNumberValidator)());tn(Ke,"offsetY",0,(0,Hn.getNumberValidator)());tn(Ke,"dragDistance",null,(0,Hn.getNumberValidator)());tn(Ke,"width",0,(0,Hn.getNumberValidator)());tn(Ke,"height",0,(0,Hn.getNumberValidator)());tn(Ke,"listening",!0,(0,Hn.getBooleanValidator)());tn(Ke,"preventDefault",!0,(0,Hn.getBooleanValidator)());tn(Ke,"filters",null,function(e){return this._filterUpToDate=!1,e});tn(Ke,"visible",!0,(0,Hn.getBooleanValidator)());tn(Ke,"transformsEnabled","all",(0,Hn.getStringValidator)());tn(Ke,"size");tn(Ke,"dragBoundFunc");tn(Ke,"draggable",!1,(0,Hn.getBooleanValidator)());Vm.Factory.backCompat(Ke,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var Ic={};Object.defineProperty(Ic,"__esModule",{value:!0});Ic.Container=void 0;const eh=dt,Kx=wn,SS=De;class Mc extends Kx.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=Kx.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=Kx.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const d=r===this;if(u){o.save();var f=this.getAbsoluteTransform(r),h=f.getMatrix();o.transform(h[0],h[1],h[2],h[3],h[4],h[5]),o.beginPath();let x;if(l)x=l.call(this,o,this);else{var g=this.clipX(),m=this.clipY();o.rect(g,m,s,a)}o.clip.apply(o,x),h=f.copy().invert().getMatrix(),o.transform(h[0],h[1],h[2],h[3],h[4],h[5])}var v=!d&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";v&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(x){x[t](n,r)}),v&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},d=this;(n=this.children)===null||n===void 0||n.forEach(function(v){if(v.visible()){var x=v.getClientRect({relativeTo:d,skipShadow:t.skipShadow,skipStroke:t.skipStroke});x.width===0&&x.height===0||(o===void 0?(o=x.x,s=x.y,a=x.x+x.width,l=x.y+x.height):(o=Math.min(o,x.x),s=Math.min(s,x.y),a=Math.max(a,x.x+x.width),l=Math.max(l,x.y+x.height)))}});for(var f=this.find("Shape"),h=!1,g=0;g<f.length;g++){var m=f[g];if(m._isVisible(this)){h=!0;break}}return h&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}Ic.Container=Mc;eh.Factory.addComponentsGetterSetter(Mc,"clip",["x","y","width","height"]);eh.Factory.addGetterSetter(Mc,"clipX",void 0,(0,SS.getNumberValidator)());eh.Factory.addGetterSetter(Mc,"clipY",void 0,(0,SS.getNumberValidator)());eh.Factory.addGetterSetter(Mc,"clipWidth",void 0,(0,SS.getNumberValidator)());eh.Factory.addGetterSetter(Mc,"clipHeight",void 0,(0,SS.getNumberValidator)());eh.Factory.addGetterSetter(Mc,"clipFunc");var yz={},Zi={};Object.defineProperty(Zi,"__esModule",{value:!0});Zi.releaseCapture=Zi.setPointerCapture=Zi.hasPointerCapture=Zi.createEvent=Zi.getCapturedShape=void 0;const d2e=ft,Yg=new Map,vz=d2e.Konva._global.PointerEvent!==void 0;function f2e(e){return Yg.get(e)}Zi.getCapturedShape=f2e;function DE(e){return{evt:e,pointerId:e.pointerId}}Zi.createEvent=DE;function h2e(e,t){return Yg.get(e)===t}Zi.hasPointerCapture=h2e;function p2e(e,t){_z(e),t.getStage()&&(Yg.set(e,t),vz&&t._fire("gotpointercapture",DE(new PointerEvent("gotpointercapture"))))}Zi.setPointerCapture=p2e;function _z(e,t){const n=Yg.get(e);if(!n)return;const r=n.getStage();r&&r.content,Yg.delete(e),vz&&n._fire("lostpointercapture",DE(new PointerEvent("lostpointercapture")))}Zi.releaseCapture=_z;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=kn,n=dt,r=Ic,i=ft,o=ds,s=bS,a=ft,l=Zi;var u="Stage",d="string",f="px",h="mouseout",g="mouseleave",m="mouseover",v="mouseenter",x="mousemove",_="mousedown",b="mouseup",y="pointermove",S="pointerdown",C="pointerup",T="pointercancel",E="lostpointercapture",P="pointerout",k="pointerleave",O="pointerover",M="pointerenter",V="contextmenu",B="touchstart",A="touchend",N="touchmove",D="touchcancel",U="wheel",$=5,j=[[v,"_pointerenter"],[_,"_pointerdown"],[x,"_pointermove"],[b,"_pointerup"],[g,"_pointerleave"],[B,"_pointerdown"],[N,"_pointermove"],[A,"_pointerup"],[D,"_pointercancel"],[m,"_pointerover"],[U,"_wheel"],[V,"_contextmenu"],[S,"_pointerdown"],[y,"_pointermove"],[C,"_pointerup"],[T,"_pointercancel"],[E,"_lostpointercapture"]];const G={mouse:{[P]:h,[k]:g,[O]:m,[M]:v,[y]:x,[S]:_,[C]:b,[T]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[P]:"touchout",[k]:"touchleave",[O]:"touchover",[M]:"touchenter",[y]:N,[S]:B,[C]:A,[T]:D,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[P]:P,[k]:k,[O]:O,[M]:M,[y]:y,[S]:S,[C]:C,[T]:T,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},q=le=>le.indexOf("pointer")>=0?"pointer":le.indexOf("touch")>=0?"touch":"mouse",Z=le=>{const W=q(le);if(W==="pointer")return i.Konva.pointerEventsEnabled&&G.pointer;if(W==="touch")return G.touch;if(W==="mouse")return G.mouse};function ee(le={}){return(le.clipFunc||le.clipWidth||le.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),le}const ie="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class se extends r.Container{constructor(W){super(ee(W)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{ee(this.attrs)}),this._checkVisibility()}_validateAdd(W){const ne=W.getType()==="Layer",fe=W.getType()==="FastLayer";ne||fe||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const W=this.visible()?"":"none";this.content.style.display=W}setContainer(W){if(typeof W===d){if(W.charAt(0)==="."){var ne=W.slice(1);W=document.getElementsByClassName(ne)[0]}else{var fe;W.charAt(0)!=="#"?fe=W:fe=W.slice(1),W=document.getElementById(fe)}if(!W)throw"Can not find container in document with id "+fe}return this._setAttr("container",W),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),W.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var W=this.children,ne=W.length,fe;for(fe=0;fe<ne;fe++)W[fe].clear();return this}clone(W){return W||(W={}),W.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,W)}destroy(){super.destroy();var W=this.content;W&&t.Util._isInDocument(W)&&this.container().removeChild(W);var ne=e.stages.indexOf(this);return ne>-1&&e.stages.splice(ne,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const W=this._pointerPositions[0]||this._changedPointerPositions[0];return W?{x:W.x,y:W.y}:(t.Util.warn(ie),null)}_getPointerById(W){return this._pointerPositions.find(ne=>ne.id===W)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(W){W=W||{},W.x=W.x||0,W.y=W.y||0,W.width=W.width||this.width(),W.height=W.height||this.height();var ne=new o.SceneCanvas({width:W.width,height:W.height,pixelRatio:W.pixelRatio||1}),fe=ne.getContext()._context,pe=this.children;return(W.x||W.y)&&fe.translate(-1*W.x,-1*W.y),pe.forEach(function(ve){if(ve.isVisible()){var ye=ve._toKonvaCanvas(W);fe.drawImage(ye._canvas,W.x,W.y,ye.getWidth()/ye.getPixelRatio(),ye.getHeight()/ye.getPixelRatio())}}),ne}getIntersection(W){if(!W)return null;var ne=this.children,fe=ne.length,pe=fe-1,ve;for(ve=pe;ve>=0;ve--){const ye=ne[ve].getIntersection(W);if(ye)return ye}return null}_resizeDOM(){var W=this.width(),ne=this.height();this.content&&(this.content.style.width=W+f,this.content.style.height=ne+f),this.bufferCanvas.setSize(W,ne),this.bufferHitCanvas.setSize(W,ne),this.children.forEach(fe=>{fe.setSize({width:W,height:ne}),fe.draw()})}add(W,...ne){if(arguments.length>1){for(var fe=0;fe<arguments.length;fe++)this.add(arguments[fe]);return this}super.add(W);var pe=this.children.length;return pe>$&&t.Util.warn("The stage has "+pe+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),W.setSize({width:this.width(),height:this.height()}),W.draw(),i.Konva.isBrowser&&this.content.appendChild(W.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(W){return l.hasPointerCapture(W,this)}setPointerCapture(W){l.setPointerCapture(W,this)}releaseCapture(W){l.releaseCapture(W,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&j.forEach(([W,ne])=>{this.content.addEventListener(W,fe=>{this[ne](fe)},{passive:!1})})}_pointerenter(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerenter,{evt:W,target:this,currentTarget:this})}_pointerover(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this})}_getTargetShape(W){let ne=this[W+"targetShape"];return ne&&!ne.getStage()&&(ne=null),ne}_pointerleave(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=this._getTargetShape(fe),ve=!s.DD.isDragging||i.Konva.hitOnDragEnabled;pe&&ve?(pe._fireAndBubble(ne.pointerout,{evt:W}),pe._fireAndBubble(ne.pointerleave,{evt:W}),this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this[fe+"targetShape"]=null):ve&&(this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this._fire(ne.pointerout,{evt:W,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=!1;this._changedPointerPositions.forEach(ve=>{var ye=this.getIntersection(ve);if(s.DD.justDragged=!1,i.Konva["_"+fe+"ListenClick"]=!0,!(ye&&ye.isListening()))return;i.Konva.capturePointerEventsEnabled&&ye.setPointerCapture(ve.id),this[fe+"ClickStartShape"]=ye,ye._fireAndBubble(ne.pointerdown,{evt:W,pointerId:ve.id}),pe=!0;const Fe=W.type.indexOf("touch")>=0;ye.preventDefault()&&W.cancelable&&Fe&&W.preventDefault()}),pe||this._fire(ne.pointerdown,{evt:W,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;s.DD.isDragging&&s.DD.node.preventDefault()&&W.cancelable&&W.preventDefault(),this.setPointersPositions(W);var pe=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!pe)return;var ve={};let ye=!1;var Je=this._getTargetShape(fe);this._changedPointerPositions.forEach(Fe=>{const Ae=l.getCapturedShape(Fe.id)||this.getIntersection(Fe),vt=Fe.id,_e={evt:W,pointerId:vt};var Qt=Je!==Ae;if(Qt&&Je&&(Je._fireAndBubble(ne.pointerout,Object.assign({},_e),Ae),Je._fireAndBubble(ne.pointerleave,Object.assign({},_e),Ae)),Ae){if(ve[Ae._id])return;ve[Ae._id]=!0}Ae&&Ae.isListening()?(ye=!0,Qt&&(Ae._fireAndBubble(ne.pointerover,Object.assign({},_e),Je),Ae._fireAndBubble(ne.pointerenter,Object.assign({},_e),Je),this[fe+"targetShape"]=Ae),Ae._fireAndBubble(ne.pointermove,Object.assign({},_e))):Je&&(this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this,pointerId:vt}),this[fe+"targetShape"]=null)}),ye||this._fire(ne.pointermove,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;this.setPointersPositions(W);const pe=this[fe+"ClickStartShape"],ve=this[fe+"ClickEndShape"];var ye={};let Je=!1;this._changedPointerPositions.forEach(Fe=>{const Ae=l.getCapturedShape(Fe.id)||this.getIntersection(Fe);if(Ae){if(Ae.releaseCapture(Fe.id),ye[Ae._id])return;ye[Ae._id]=!0}const vt=Fe.id,_e={evt:W,pointerId:vt};let Qt=!1;i.Konva["_"+fe+"InDblClickWindow"]?(Qt=!0,clearTimeout(this[fe+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+fe+"InDblClickWindow"]=!0,clearTimeout(this[fe+"DblTimeout"])),this[fe+"DblTimeout"]=setTimeout(function(){i.Konva["_"+fe+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),Ae&&Ae.isListening()?(Je=!0,this[fe+"ClickEndShape"]=Ae,Ae._fireAndBubble(ne.pointerup,Object.assign({},_e)),i.Konva["_"+fe+"ListenClick"]&&pe&&pe===Ae&&(Ae._fireAndBubble(ne.pointerclick,Object.assign({},_e)),Qt&&ve&&ve===Ae&&Ae._fireAndBubble(ne.pointerdblclick,Object.assign({},_e)))):(this[fe+"ClickEndShape"]=null,i.Konva["_"+fe+"ListenClick"]&&this._fire(ne.pointerclick,{evt:W,target:this,currentTarget:this,pointerId:vt}),Qt&&this._fire(ne.pointerdblclick,{evt:W,target:this,currentTarget:this,pointerId:vt}))}),Je||this._fire(ne.pointerup,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+fe+"ListenClick"]=!1,W.cancelable&&fe!=="touch"&&W.preventDefault()}_contextmenu(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(V,{evt:W}):this._fire(V,{evt:W,target:this,currentTarget:this})}_wheel(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(U,{evt:W}):this._fire(U,{evt:W,target:this,currentTarget:this})}_pointercancel(W){this.setPointersPositions(W);const ne=l.getCapturedShape(W.pointerId)||this.getIntersection(this.getPointerPosition());ne&&ne._fireAndBubble(C,l.createEvent(W)),l.releaseCapture(W.pointerId)}_lostpointercapture(W){l.releaseCapture(W.pointerId)}setPointersPositions(W){var ne=this._getContentPosition(),fe=null,pe=null;W=W||window.event,W.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(W.touches,ve=>{this._pointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})}),Array.prototype.forEach.call(W.changedTouches||W.touches,ve=>{this._changedPointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})})):(fe=(W.clientX-ne.left)/ne.scaleX,pe=(W.clientY-ne.top)/ne.scaleY,this.pointerPos={x:fe,y:pe},this._pointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}],this._changedPointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}])}_setPointerPosition(W){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(W)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var W=this.content.getBoundingClientRect();return{top:W.top,left:W.left,scaleX:W.width/this.content.clientWidth||1,scaleY:W.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var W=this.container();if(!W)throw"Stage has no container. A container is required.";W.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),W.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(W){W.batchDraw()}),this}}e.Stage=se,se.prototype.nodeType=u,(0,a._registerNode)(se),n.Factory.addGetterSetter(se,"container")})(yz);var jm={},gr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=ft,n=kn,r=dt,i=wn,o=De,s=ft,a=Zi;var l="hasShadow",u="shadowRGBA",d="patternImage",f="linearGradient",h="radialGradient";let g;function m(){return g||(g=n.Util.createCanvasElement().getContext("2d"),g)}e.shapes={};function v(k){const O=this.attrs.fillRule;O?k.fill(O):k.fill()}function x(k){k.stroke()}function _(k){k.fill()}function b(k){k.stroke()}function y(){this._clearCache(l)}function S(){this._clearCache(u)}function C(){this._clearCache(d)}function T(){this._clearCache(f)}function E(){this._clearCache(h)}class P extends i.Node{constructor(O){super(O);let M;for(;M=n.Util.getRandomColor(),!(M&&!(M in e.shapes)););this.colorKey=M,e.shapes[M]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(d,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var O=m();const M=O.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(M&&M.setTransform){const V=new n.Transform;V.translate(this.fillPatternX(),this.fillPatternY()),V.rotate(t.Konva.getAngle(this.fillPatternRotation())),V.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),V.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const B=V.getMatrix(),A=typeof DOMMatrix>"u"?{a:B[0],b:B[1],c:B[2],d:B[3],e:B[4],f:B[5]}:new DOMMatrix(B);M.setTransform(A)}return M}}_getLinearGradient(){return this._getCache(f,this.__getLinearGradient)}__getLinearGradient(){var O=this.fillLinearGradientColorStops();if(O){for(var M=m(),V=this.fillLinearGradientStartPoint(),B=this.fillLinearGradientEndPoint(),A=M.createLinearGradient(V.x,V.y,B.x,B.y),N=0;N<O.length;N+=2)A.addColorStop(O[N],O[N+1]);return A}}_getRadialGradient(){return this._getCache(h,this.__getRadialGradient)}__getRadialGradient(){var O=this.fillRadialGradientColorStops();if(O){for(var M=m(),V=this.fillRadialGradientStartPoint(),B=this.fillRadialGradientEndPoint(),A=M.createRadialGradient(V.x,V.y,this.fillRadialGradientStartRadius(),B.x,B.y,this.fillRadialGradientEndRadius()),N=0;N<O.length;N+=2)A.addColorStop(O[N],O[N+1]);return A}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var O=n.Util.colorToRGBA(this.shadowColor());if(O)return"rgba("+O.r+","+O.g+","+O.b+","+O.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const O=this.hitStrokeWidth();return O==="auto"?this.hasStroke():this.strokeEnabled()&&!!O}intersects(O){var M=this.getStage(),V=M.bufferHitCanvas,B;return V.getContext().clear(),this.drawHit(V,null,!0),B=V.context.getImageData(Math.round(O.x),Math.round(O.y),1,1).data,B[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(O){var M;if(!this.getStage()||!((M=this.attrs.perfectDrawEnabled)!==null&&M!==void 0?M:!0))return!1;const B=O||this.hasFill(),A=this.hasStroke(),N=this.getAbsoluteOpacity()!==1;if(B&&A&&N)return!0;const D=this.hasShadow(),U=this.shadowForStrokeEnabled();return!!(B&&A&&D&&U)}setStrokeHitEnabled(O){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),O?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var O=this.size();return{x:this._centroid?-O.width/2:0,y:this._centroid?-O.height/2:0,width:O.width,height:O.height}}getClientRect(O={}){const M=O.skipTransform,V=O.relativeTo,B=this.getSelfRect(),N=!O.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,D=B.width+N,U=B.height+N,$=!O.skipShadow&&this.hasShadow(),j=$?this.shadowOffsetX():0,G=$?this.shadowOffsetY():0,q=D+Math.abs(j),Z=U+Math.abs(G),ee=$&&this.shadowBlur()||0,ie=q+ee*2,se=Z+ee*2,le={width:ie,height:se,x:-(N/2+ee)+Math.min(j,0)+B.x,y:-(N/2+ee)+Math.min(G,0)+B.y};return M?le:this._transformedRect(le,V)}drawScene(O,M){var V=this.getLayer(),B=O||V.getCanvas(),A=B.getContext(),N=this._getCanvasCache(),D=this.getSceneFunc(),U=this.hasShadow(),$,j,G,q=B.isCache,Z=M===this;if(!this.isVisible()&&!Z)return this;if(N){A.save();var ee=this.getAbsoluteTransform(M).getMatrix();return A.transform(ee[0],ee[1],ee[2],ee[3],ee[4],ee[5]),this._drawCachedSceneCanvas(A),A.restore(),this}if(!D)return this;if(A.save(),this._useBufferCanvas()&&!q){$=this.getStage(),j=$.bufferCanvas,G=j.getContext(),G.clear(),G.save(),G._applyLineJoin(this);var ie=this.getAbsoluteTransform(M).getMatrix();G.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),D.call(this,G,this),G.restore();var se=j.pixelRatio;U&&A._applyShadow(this),A._applyOpacity(this),A._applyGlobalCompositeOperation(this),A.drawImage(j._canvas,0,0,j.width/se,j.height/se)}else{if(A._applyLineJoin(this),!Z){var ie=this.getAbsoluteTransform(M).getMatrix();A.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),A._applyOpacity(this),A._applyGlobalCompositeOperation(this)}U&&A._applyShadow(this),D.call(this,A,this)}return A.restore(),this}drawHit(O,M,V=!1){if(!this.shouldDrawHit(M,V))return this;var B=this.getLayer(),A=O||B.hitCanvas,N=A&&A.getContext(),D=this.hitFunc()||this.sceneFunc(),U=this._getCanvasCache(),$=U&&U.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),$){N.save();var j=this.getAbsoluteTransform(M).getMatrix();return N.transform(j[0],j[1],j[2],j[3],j[4],j[5]),this._drawCachedHitCanvas(N),N.restore(),this}if(!D)return this;if(N.save(),N._applyLineJoin(this),!(this===M)){var q=this.getAbsoluteTransform(M).getMatrix();N.transform(q[0],q[1],q[2],q[3],q[4],q[5])}return D.call(this,N,this),N.restore(),this}drawHitFromCache(O=0){var M=this._getCanvasCache(),V=this._getCachedSceneCanvas(),B=M.hit,A=B.getContext(),N=B.getWidth(),D=B.getHeight(),U,$,j,G,q,Z;A.clear(),A.drawImage(V._canvas,0,0,N,D);try{for(U=A.getImageData(0,0,N,D),$=U.data,j=$.length,G=n.Util._hexToRgb(this.colorKey),q=0;q<j;q+=4)Z=$[q+3],Z>O?($[q]=G.r,$[q+1]=G.g,$[q+2]=G.b,$[q+3]=255):$[q+3]=0;A.putImageData(U,0,0)}catch(ee){n.Util.error("Unable to draw hit graph from cached scene canvas. "+ee.message)}return this}hasPointerCapture(O){return a.hasPointerCapture(O,this)}setPointerCapture(O){a.setPointerCapture(O,this)}releaseCapture(O){a.releaseCapture(O,this)}}e.Shape=P,P.prototype._fillFunc=v,P.prototype._strokeFunc=x,P.prototype._fillFuncHit=_,P.prototype._strokeFuncHit=b,P.prototype._centroid=!1,P.prototype.nodeType="Shape",(0,s._registerNode)(P),P.prototype.eventListeners={},P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",y),P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",S),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",C),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",T),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",E),r.Factory.addGetterSetter(P,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(P,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(P,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"lineJoin"),r.Factory.addGetterSetter(P,"lineCap"),r.Factory.addGetterSetter(P,"sceneFunc"),r.Factory.addGetterSetter(P,"hitFunc"),r.Factory.addGetterSetter(P,"dash"),r.Factory.addGetterSetter(P,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(P,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(P,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternImage"),r.Factory.addGetterSetter(P,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(P,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(P,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(P,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(P,"fillEnabled",!0),r.Factory.addGetterSetter(P,"strokeEnabled",!0),r.Factory.addGetterSetter(P,"shadowEnabled",!0),r.Factory.addGetterSetter(P,"dashEnabled",!0),r.Factory.addGetterSetter(P,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(P,"fillPriority","color"),r.Factory.addComponentsGetterSetter(P,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(P,"fillPatternRotation",0),r.Factory.addGetterSetter(P,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(P,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(gr);Object.defineProperty(jm,"__esModule",{value:!0});jm.Layer=void 0;const _a=kn,Xx=Ic,Td=wn,$E=dt,fk=ds,g2e=De,m2e=gr,y2e=ft;var v2e="#",_2e="beforeDraw",b2e="draw",bz=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],S2e=bz.length;class th extends Xx.Container{constructor(t){super(t),this.canvas=new fk.SceneCanvas,this.hitCanvas=new fk.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){Td.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=Td.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(Td.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(Td.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return Td.Node.prototype.remove.call(this),t&&t.parentNode&&_a.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&_a.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),Td.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){_a.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){_a.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,_a.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<S2e;i++){const o=bz[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=_a.Util._rgbToHex(r[0],r[1],r[2]),s=m2e.shapes[v2e+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(_2e,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),Xx.Container.prototype.drawScene.call(this,i,n),this._fire(b2e,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),Xx.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){_a.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return _a.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return _a.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}jm.Layer=th;th.prototype.nodeType="Layer";(0,y2e._registerNode)(th);$E.Factory.addGetterSetter(th,"imageSmoothingEnabled",!0);$E.Factory.addGetterSetter(th,"clearBeforeDraw",!0);$E.Factory.addGetterSetter(th,"hitGraphEnabled",!0,(0,g2e.getBooleanValidator)());var wS={};Object.defineProperty(wS,"__esModule",{value:!0});wS.FastLayer=void 0;const w2e=kn,x2e=jm,C2e=ft;class FE extends x2e.Layer{constructor(t){super(t),this.listening(!1),w2e.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}wS.FastLayer=FE;FE.prototype.nodeType="FastLayer";(0,C2e._registerNode)(FE);var nh={};Object.defineProperty(nh,"__esModule",{value:!0});nh.Group=void 0;const T2e=kn,E2e=Ic,A2e=ft;class BE extends E2e.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&T2e.Util.throw("You may only add groups and shapes to groups.")}}nh.Group=BE;BE.prototype.nodeType="Group";(0,A2e._registerNode)(BE);var rh={};Object.defineProperty(rh,"__esModule",{value:!0});rh.Animation=void 0;const Yx=ft,hk=kn;var Qx=function(){return Yx.glob.performance&&Yx.glob.performance.now?function(){return Yx.glob.performance.now()}:function(){return new Date().getTime()}}();class $s{constructor(t,n){this.id=$s.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Qx(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=$s,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=Qx(),$s._addAnimation(this),this}stop(){return $s._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,d,f;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(Qx()),l=i.length,o?f=o.call(r,r.frame)!==!1:f=!0,!!f)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(d in t)t.hasOwnProperty(d)&&t[d].batchDraw()}static _animationLoop(){var t=$s;t.animations.length?(t._runFrames(),hk.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,hk.Util.requestAnimFrame(this._animationLoop))}}rh.Animation=$s;$s.animations=[];$s.animIdCounter=0;$s.animRunning=!1;var Sz={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=kn,n=rh,r=wn,i=ft;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,d=["fill","stroke","shadowColor"];class f{constructor(m,v,x,_,b,y,S){this.prop=m,this.propFunc=v,this.begin=_,this._pos=_,this.duration=y,this._change=0,this.prevPos=0,this.yoyo=S,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=x,this._change=b-this.begin,this.pause()}fire(m){var v=this[m];v&&v()}setTime(m){m>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():m<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=m,this.update())}getTime(){return this._time}setPosition(m){this.prevPos=this._pos,this.propFunc(m),this._pos=m}getPosition(m){return m===void 0&&(m=this._time),this.func(m,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(m){this.pause(),this._time=m,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var m=this.getTimer()-this._startTime;this.state===a?this.setTime(m):this.state===l&&this.setTime(this.duration-m)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class h{constructor(m){var v=this,x=m.node,_=x._id,b,y=m.easing||e.Easings.Linear,S=!!m.yoyo,C;typeof m.duration>"u"?b=.3:m.duration===0?b=.001:b=m.duration,this.node=x,this._id=u++;var T=x.getLayer()||(x instanceof i.Konva.Stage?x.getLayers():null);T||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){v.tween.onEnterFrame()},T),this.tween=new f(C,function(E){v._tweenFunc(E)},y,0,1,b*1e3,S),this._addListeners(),h.attrs[_]||(h.attrs[_]={}),h.attrs[_][this._id]||(h.attrs[_][this._id]={}),h.tweens[_]||(h.tweens[_]={});for(C in m)o[C]===void 0&&this._addAttr(C,m[C]);this.reset(),this.onFinish=m.onFinish,this.onReset=m.onReset,this.onUpdate=m.onUpdate}_addAttr(m,v){var x=this.node,_=x._id,b,y,S,C,T,E,P,k;if(S=h.tweens[_][m],S&&delete h.attrs[_][S][m],b=x.getAttr(m),t.Util._isArray(v))if(y=[],T=Math.max(v.length,b.length),m==="points"&&v.length!==b.length&&(v.length>b.length?(P=b,b=t.Util._prepareArrayForTween(b,v,x.closed())):(E=v,v=t.Util._prepareArrayForTween(v,b,x.closed()))),m.indexOf("fill")===0)for(C=0;C<T;C++)if(C%2===0)y.push(v[C]-b[C]);else{var O=t.Util.colorToRGBA(b[C]);k=t.Util.colorToRGBA(v[C]),b[C]=O,y.push({r:k.r-O.r,g:k.g-O.g,b:k.b-O.b,a:k.a-O.a})}else for(C=0;C<T;C++)y.push(v[C]-b[C]);else d.indexOf(m)!==-1?(b=t.Util.colorToRGBA(b),k=t.Util.colorToRGBA(v),y={r:k.r-b.r,g:k.g-b.g,b:k.b-b.b,a:k.a-b.a}):y=v-b;h.attrs[_][this._id][m]={start:b,diff:y,end:v,trueEnd:E,trueStart:P},h.tweens[_][m]=this._id}_tweenFunc(m){var v=this.node,x=h.attrs[v._id][this._id],_,b,y,S,C,T,E,P;for(_ in x){if(b=x[_],y=b.start,S=b.diff,P=b.end,t.Util._isArray(y))if(C=[],E=Math.max(y.length,P.length),_.indexOf("fill")===0)for(T=0;T<E;T++)T%2===0?C.push((y[T]||0)+S[T]*m):C.push("rgba("+Math.round(y[T].r+S[T].r*m)+","+Math.round(y[T].g+S[T].g*m)+","+Math.round(y[T].b+S[T].b*m)+","+(y[T].a+S[T].a*m)+")");else for(T=0;T<E;T++)C.push((y[T]||0)+S[T]*m);else d.indexOf(_)!==-1?C="rgba("+Math.round(y.r+S.r*m)+","+Math.round(y.g+S.g*m)+","+Math.round(y.b+S.b*m)+","+(y.a+S.a*m)+")":C=y+S*m;v.setAttr(_,C)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var m=this.node,v=h.attrs[m._id][this._id];v.points&&v.points.trueEnd&&m.setAttr("points",v.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var m=this.node,v=h.attrs[m._id][this._id];v.points&&v.points.trueStart&&m.points(v.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(m){return this.tween.seek(m*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var m=this.node._id,v=this._id,x=h.tweens[m],_;this.pause();for(_ in x)delete h.tweens[m][_];delete h.attrs[m][v]}}e.Tween=h,h.attrs={},h.tweens={},r.Node.prototype.to=function(g){var m=g.onFinish;g.node=this,g.onFinish=function(){this.destroy(),m&&m()};var v=new h(g);v.play()},e.Easings={BackEaseIn(g,m,v,x){var _=1.70158;return v*(g/=x)*g*((_+1)*g-_)+m},BackEaseOut(g,m,v,x){var _=1.70158;return v*((g=g/x-1)*g*((_+1)*g+_)+1)+m},BackEaseInOut(g,m,v,x){var _=1.70158;return(g/=x/2)<1?v/2*(g*g*(((_*=1.525)+1)*g-_))+m:v/2*((g-=2)*g*(((_*=1.525)+1)*g+_)+2)+m},ElasticEaseIn(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x)===1?m+v:(b||(b=x*.3),!_||_<Math.abs(v)?(_=v,y=b/4):y=b/(2*Math.PI)*Math.asin(v/_),-(_*Math.pow(2,10*(g-=1))*Math.sin((g*x-y)*(2*Math.PI)/b))+m)},ElasticEaseOut(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x)===1?m+v:(b||(b=x*.3),!_||_<Math.abs(v)?(_=v,y=b/4):y=b/(2*Math.PI)*Math.asin(v/_),_*Math.pow(2,-10*g)*Math.sin((g*x-y)*(2*Math.PI)/b)+v+m)},ElasticEaseInOut(g,m,v,x,_,b){var y=0;return g===0?m:(g/=x/2)===2?m+v:(b||(b=x*(.3*1.5)),!_||_<Math.abs(v)?(_=v,y=b/4):y=b/(2*Math.PI)*Math.asin(v/_),g<1?-.5*(_*Math.pow(2,10*(g-=1))*Math.sin((g*x-y)*(2*Math.PI)/b))+m:_*Math.pow(2,-10*(g-=1))*Math.sin((g*x-y)*(2*Math.PI)/b)*.5+v+m)},BounceEaseOut(g,m,v,x){return(g/=x)<1/2.75?v*(7.5625*g*g)+m:g<2/2.75?v*(7.5625*(g-=1.5/2.75)*g+.75)+m:g<2.5/2.75?v*(7.5625*(g-=2.25/2.75)*g+.9375)+m:v*(7.5625*(g-=2.625/2.75)*g+.984375)+m},BounceEaseIn(g,m,v,x){return v-e.Easings.BounceEaseOut(x-g,0,v,x)+m},BounceEaseInOut(g,m,v,x){return g<x/2?e.Easings.BounceEaseIn(g*2,0,v,x)*.5+m:e.Easings.BounceEaseOut(g*2-x,0,v,x)*.5+v*.5+m},EaseIn(g,m,v,x){return v*(g/=x)*g+m},EaseOut(g,m,v,x){return-v*(g/=x)*(g-2)+m},EaseInOut(g,m,v,x){return(g/=x/2)<1?v/2*g*g+m:-v/2*(--g*(g-2)-1)+m},StrongEaseIn(g,m,v,x){return v*(g/=x)*g*g*g*g+m},StrongEaseOut(g,m,v,x){return v*((g=g/x-1)*g*g*g*g+1)+m},StrongEaseInOut(g,m,v,x){return(g/=x/2)<1?v/2*g*g*g*g*g+m:v/2*((g-=2)*g*g*g*g+2)+m},Linear(g,m,v,x){return v*g/x+m}}})(Sz);(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Konva=void 0;const t=ft,n=kn,r=wn,i=Ic,o=yz,s=jm,a=wS,l=nh,u=bS,d=gr,f=rh,h=Sz,g=Na,m=ds;e.Konva=n.Util._assign(t.Konva,{Util:n.Util,Transform:n.Transform,Node:r.Node,Container:i.Container,Stage:o.Stage,stages:o.stages,Layer:s.Layer,FastLayer:a.FastLayer,Group:l.Group,DD:u.DD,Shape:d.Shape,shapes:d.shapes,Animation:f.Animation,Tween:h.Tween,Easings:h.Easings,Context:g.Context,Canvas:m.Canvas}),e.default=e.Konva})(hz);var xS={};Object.defineProperty(xS,"__esModule",{value:!0});xS.Arc=void 0;const CS=dt,P2e=gr,pk=ft,TS=De,R2e=ft;class Ja extends P2e.Shape{_sceneFunc(t){var n=pk.Konva.getAngle(this.angle()),r=this.clockwise();t.beginPath(),t.arc(0,0,this.outerRadius(),0,n,r),t.arc(0,0,this.innerRadius(),n,0,!r),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return 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a=s[0],l=s[1],u=s[2],d=s[3],f=s[4],h=s[5],g=s[6],m=s[7],v=u>d?u:d,x=u>d?1:u/d,_=u>d?d/u:1;t.translate(a,l),t.rotate(g),t.scale(x,_),t.arc(0,0,v,f,f+h,1-m),t.scale(1/x,1/_),t.rotate(-g),t.translate(-a,-l);break;case"z":r=!0,t.closePath();break}}!r&&!this.hasFill()?t.strokeShape(this):t.fillStrokeShape(this)}getSelfRect(){var t=[];this.dataArray.forEach(function(u){if(u.command==="A"){var d=u.points[4],f=u.points[5],h=u.points[4]+f,g=Math.PI/180;if(Math.abs(d-h)<g&&(g=Math.abs(d-h)),f<0)for(let m=d-g;m>h;m-=g){const v=ur.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],m,0);t.push(v.x,v.y)}else for(let m=d+g;m<h;m+=g){const v=ur.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],m,0);t.push(v.x,v.y)}}else if(u.command==="C")for(let m=0;m<=1;m+=.01){const v=ur.getPointOnCubicBezier(m,u.start.x,u.start.y,u.points[0],u.points[1],u.points[2],u.points[3],u.points[4],u.points[5]);t.push(v.x,v.y)}else t=t.concat(u.points)});for(var n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],isNaN(s)||(n=Math.min(n,s),r=Math.max(r,s)),isNaN(a)||(i=Math.min(i,a),o=Math.max(o,a));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return ur.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return ur.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return ur.getPointOnCubicBezier((0,Ed.t2length)(t,ur.getPathLength(n),v=>(0,Ed.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return ur.getPointOnQuadraticBezier((0,Ed.t2length)(t,ur.getPathLength(n),v=>(0,Ed.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],d=a[2],f=a[3],h=a[4],g=a[5],m=a[6];return h+=g*t/s.pathLength,ur.getPointOnEllipticalArc(l,u,d,f,h,m)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var d=l*u,f;if(i===n)f={x:s,y:a+d};else if((a-r)/(s-n+1e-8)===l)f={x:s+u,y:a+d};else{var h,g,m=this.getLineLength(n,r,i,o),v=(s-n)*(i-n)+(a-r)*(o-r);v=v/(m*m),h=n+v*(i-n),g=r+v*(o-r);var x=this.getLineLength(s,a,h,g),_=Math.sqrt(t*t-x*x);u=Math.sqrt(_*_/(1+l*l)),i<n&&(u*=-1),d=l*u,f={x:h+u,y:g+d}}return f}static getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function d(x){return x*x*x}function f(x){return 3*x*x*(1-x)}function h(x){return 3*x*(1-x)*(1-x)}function g(x){return(1-x)*(1-x)*(1-x)}var m=l*d(t)+s*f(t)+i*h(t)+n*g(t),v=u*d(t)+a*f(t)+o*h(t)+r*g(t);return{x:m,y:v}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(g){return g*g}function u(g){return 2*g*(1-g)}function d(g){return(1-g)*(1-g)}var f=s*l(t)+i*u(t)+n*d(t),h=a*l(t)+o*u(t)+r*d(t);return{x:f,y:h}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,d=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,f;for(i=1;i<o.length;i++){var h=o[i],g=h.charAt(0);for(h=h.slice(1),a.length=0;f=d.exec(h);)a.push(f[0]);for(var m=[],v=0,x=a.length;v<x;v++){if(a[v]==="00"){m.push(0,0);continue}var _=parseFloat(a[v]);isNaN(_)?m.push(0):m.push(_)}for(;m.length>0&&!isNaN(m[0]);){var b=null,y=[],S=l,C=u,T,E,P,k,O,M,V,B,A,N;switch(g){case"l":l+=m.shift(),u+=m.shift(),b="L",y.push(l,u);break;case"L":l=m.shift(),u=m.shift(),y.push(l,u);break;case"m":var D=m.shift(),U=m.shift();if(l+=D,u+=U,b="M",s.length>2&&s[s.length-1].command==="z"){for(var $=s.length-2;$>=0;$--)if(s[$].command==="M"){l=s[$].points[0]+D,u=s[$].points[1]+U;break}}y.push(l,u),g="l";break;case"M":l=m.shift(),u=m.shift(),b="M",y.push(l,u),g="L";break;case"h":l+=m.shift(),b="L",y.push(l,u);break;case"H":l=m.shift(),b="L",y.push(l,u);break;case"v":u+=m.shift(),b="L",y.push(l,u);break;case"V":u=m.shift(),b="L",y.push(l,u);break;case"C":y.push(m.shift(),m.shift(),m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"c":y.push(l+m.shift(),u+m.shift(),l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"S":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,m.shift(),m.shift()),l=m.shift(),u=m.shift(),b="C",y.push(l,u);break;case"s":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"Q":y.push(m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"q":y.push(l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="Q",y.push(l,u);break;case"T":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l=m.shift(),u=m.shift(),b="Q",y.push(E,P,l,u);break;case"t":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l+=m.shift(),u+=m.shift(),b="Q",y.push(E,P,l,u);break;case"A":k=m.shift(),O=m.shift(),M=m.shift(),V=m.shift(),B=m.shift(),A=l,N=u,l=m.shift(),u=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,V,B,k,O,M);break;case"a":k=m.shift(),O=m.shift(),M=m.shift(),V=m.shift(),B=m.shift(),A=l,N=u,l+=m.shift(),u+=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,V,B,k,O,M);break}s.push({command:b||g,points:y,start:{x:S,y:C},pathLength:this.calcLength(S,C,b||g,y)})}(g==="z"||g==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=ur;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,Ed.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,Ed.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var d=i[4],f=i[5],h=i[4]+f,g=Math.PI/180;if(Math.abs(d-h)<g&&(g=Math.abs(d-h)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],d,0),f<0)for(l=d-g;l>h;l-=g)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=d+g;l<h;l+=g)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],h,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var d=u*(Math.PI/180),f=Math.cos(d)*(t-r)/2+Math.sin(d)*(n-i)/2,h=-1*Math.sin(d)*(t-r)/2+Math.cos(d)*(n-i)/2,g=f*f/(a*a)+h*h/(l*l);g>1&&(a*=Math.sqrt(g),l*=Math.sqrt(g));var m=Math.sqrt((a*a*(l*l)-a*a*(h*h)-l*l*(f*f))/(a*a*(h*h)+l*l*(f*f)));o===s&&(m*=-1),isNaN(m)&&(m=0);var v=m*a*h/l,x=m*-l*f/a,_=(t+r)/2+Math.cos(d)*v-Math.sin(d)*x,b=(n+i)/2+Math.sin(d)*v+Math.cos(d)*x,y=function(O){return Math.sqrt(O[0]*O[0]+O[1]*O[1])},S=function(O,M){return(O[0]*M[0]+O[1]*M[1])/(y(O)*y(M))},C=function(O,M){return(O[0]*M[1]<O[1]*M[0]?-1:1)*Math.acos(S(O,M))},T=C([1,0],[(f-v)/a,(h-x)/l]),E=[(f-v)/a,(h-x)/l],P=[(-1*f-v)/a,(-1*h-x)/l],k=C(E,P);return S(E,P)<=-1&&(k=Math.PI),S(E,P)>=1&&(k=0),s===0&&k>0&&(k=k-2*Math.PI),s===1&&k<0&&(k=k+2*Math.PI),[_,b,a,l,T,k,d,s]}}ih.Path=ur;ur.prototype.className="Path";ur.prototype._attrsAffectingSize=["data"];(0,N2e._registerNode)(ur);I2e.Factory.addGetterSetter(ur,"data");Object.defineProperty(ES,"__esModule",{value:!0});ES.Arrow=void 0;const PS=dt,L2e=Gm,Cz=De,D2e=ft,mk=ih;class Nc extends L2e.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const h=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],g=mk.Path.calcLength(i[i.length-4],i[i.length-3],"C",h),m=mk.Path.getPointOnQuadraticBezier(Math.min(1,1-s/g),h[0],h[1],h[2],h[3],h[4],h[5]);l=r[a-2]-m.x,u=r[a-1]-m.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var d=(Math.atan2(u,l)+n)%n,f=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(d),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}ES.Arrow=Nc;Nc.prototype.className="Arrow";(0,D2e._registerNode)(Nc);PS.Factory.addGetterSetter(Nc,"pointerLength",10,(0,Cz.getNumberValidator)());PS.Factory.addGetterSetter(Nc,"pointerWidth",10,(0,Cz.getNumberValidator)());PS.Factory.addGetterSetter(Nc,"pointerAtBeginning",!1);PS.Factory.addGetterSetter(Nc,"pointerAtEnding",!0);var RS={};Object.defineProperty(RS,"__esModule",{value:!0});RS.Circle=void 0;const $2e=dt,F2e=gr,B2e=De,U2e=ft;let oh=class extends F2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};RS.Circle=oh;oh.prototype._centroid=!0;oh.prototype.className="Circle";oh.prototype._attrsAffectingSize=["radius"];(0,U2e._registerNode)(oh);$2e.Factory.addGetterSetter(oh,"radius",0,(0,B2e.getNumberValidator)());var OS={};Object.defineProperty(OS,"__esModule",{value:!0});OS.Ellipse=void 0;const UE=dt,z2e=gr,Tz=De,V2e=ft;class vu extends z2e.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}OS.Ellipse=vu;vu.prototype.className="Ellipse";vu.prototype._centroid=!0;vu.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,V2e._registerNode)(vu);UE.Factory.addComponentsGetterSetter(vu,"radius",["x","y"]);UE.Factory.addGetterSetter(vu,"radiusX",0,(0,Tz.getNumberValidator)());UE.Factory.addGetterSetter(vu,"radiusY",0,(0,Tz.getNumberValidator)());var kS={};Object.defineProperty(kS,"__esModule",{value:!0});kS.Image=void 0;const Zx=kn,Lc=dt,j2e=gr,G2e=ft,Hm=De;let ta=class Ez extends j2e.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?Zx.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?Zx.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=Zx.Util.createImageElement();i.onload=function(){var o=new Ez({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};kS.Image=ta;ta.prototype.className="Image";(0,G2e._registerNode)(ta);Lc.Factory.addGetterSetter(ta,"cornerRadius",0,(0,Hm.getNumberOrArrayOfNumbersValidator)(4));Lc.Factory.addGetterSetter(ta,"image");Lc.Factory.addComponentsGetterSetter(ta,"crop",["x","y","width","height"]);Lc.Factory.addGetterSetter(ta,"cropX",0,(0,Hm.getNumberValidator)());Lc.Factory.addGetterSetter(ta,"cropY",0,(0,Hm.getNumberValidator)());Lc.Factory.addGetterSetter(ta,"cropWidth",0,(0,Hm.getNumberValidator)());Lc.Factory.addGetterSetter(ta,"cropHeight",0,(0,Hm.getNumberValidator)());var Vf={};Object.defineProperty(Vf,"__esModule",{value:!0});Vf.Tag=Vf.Label=void 0;const IS=dt,H2e=gr,W2e=nh,zE=De,Az=ft;var Pz=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],q2e="Change.konva",K2e="none",C5="up",T5="right",E5="down",A5="left",X2e=Pz.length;class VE extends W2e.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<X2e;r++)t.on(Pz[r]+q2e,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case C5:a=r/2,l=-1*u;break;case T5:a=r+s,l=i/2;break;case E5:a=r/2,l=i+u;break;case A5:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}Vf.Label=VE;VE.prototype.className="Label";(0,Az._registerNode)(VE);class Dc extends H2e.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,d=0,f=0;typeof a=="number"?l=u=d=f=Math.min(a,n/2,r/2):(l=Math.min(a[0]||0,n/2,r/2),u=Math.min(a[1]||0,n/2,r/2),f=Math.min(a[2]||0,n/2,r/2),d=Math.min(a[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===C5&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*s),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===T5&&(t.lineTo(n,(r-s)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+s)/2)),t.lineTo(n,r-f),t.arc(n-f,r-f,f,0,Math.PI/2,!1),i===E5&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+s),t.lineTo((n-o)/2,r)),t.lineTo(d,r),t.arc(d,r-d,d,Math.PI/2,Math.PI,!1),i===A5&&(t.lineTo(0,(r+s)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-s)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),s=this.width(),a=this.height();return o===C5?(n-=i,a+=i):o===E5?a+=i:o===A5?(t-=r*1.5,s+=r):o===T5&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}Vf.Tag=Dc;Dc.prototype.className="Tag";(0,Az._registerNode)(Dc);IS.Factory.addGetterSetter(Dc,"pointerDirection",K2e);IS.Factory.addGetterSetter(Dc,"pointerWidth",0,(0,zE.getNumberValidator)());IS.Factory.addGetterSetter(Dc,"pointerHeight",0,(0,zE.getNumberValidator)());IS.Factory.addGetterSetter(Dc,"cornerRadius",0,(0,zE.getNumberOrArrayOfNumbersValidator)(4));var Wm={};Object.defineProperty(Wm,"__esModule",{value:!0});Wm.Rect=void 0;const Y2e=dt,Q2e=gr,Z2e=ft,J2e=kn,ewe=De;let MS=class extends Q2e.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?J2e.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};Wm.Rect=MS;MS.prototype.className="Rect";(0,Z2e._registerNode)(MS);Y2e.Factory.addGetterSetter(MS,"cornerRadius",0,(0,ewe.getNumberOrArrayOfNumbersValidator)(4));var NS={};Object.defineProperty(NS,"__esModule",{value:!0});NS.RegularPolygon=void 0;const Rz=dt,twe=gr,Oz=De,nwe=ft;class $c extends twe.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}NS.RegularPolygon=$c;$c.prototype.className="RegularPolygon";$c.prototype._centroid=!0;$c.prototype._attrsAffectingSize=["radius"];(0,nwe._registerNode)($c);Rz.Factory.addGetterSetter($c,"radius",0,(0,Oz.getNumberValidator)());Rz.Factory.addGetterSetter($c,"sides",0,(0,Oz.getNumberValidator)());var LS={};Object.defineProperty(LS,"__esModule",{value:!0});LS.Ring=void 0;const kz=dt,rwe=gr,Iz=De,iwe=ft;var yk=Math.PI*2;class Fc extends rwe.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,yk,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),yk,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}LS.Ring=Fc;Fc.prototype.className="Ring";Fc.prototype._centroid=!0;Fc.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,iwe._registerNode)(Fc);kz.Factory.addGetterSetter(Fc,"innerRadius",0,(0,Iz.getNumberValidator)());kz.Factory.addGetterSetter(Fc,"outerRadius",0,(0,Iz.getNumberValidator)());var DS={};Object.defineProperty(DS,"__esModule",{value:!0});DS.Sprite=void 0;const Bc=dt,owe=gr,swe=rh,Mz=De,awe=ft;class na extends owe.Shape{constructor(t){super(t),this._updated=!0,this.anim=new swe.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+0],l=o[i+1],u=o[i+2],d=o[i+3],f=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,d),t.closePath(),t.fillStrokeShape(this)),f)if(s){var h=s[n],g=r*2;t.drawImage(f,a,l,u,d,h[g+0],h[g+1],u,d)}else t.drawImage(f,a,l,u,d,0,0,u,d)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+2],l=o[i+3];if(t.beginPath(),s){var u=s[n],d=r*2;t.rect(u[d+0],u[d+1],a,l)}else t.rect(0,0,a,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}DS.Sprite=na;na.prototype.className="Sprite";(0,awe._registerNode)(na);Bc.Factory.addGetterSetter(na,"animation");Bc.Factory.addGetterSetter(na,"animations");Bc.Factory.addGetterSetter(na,"frameOffsets");Bc.Factory.addGetterSetter(na,"image");Bc.Factory.addGetterSetter(na,"frameIndex",0,(0,Mz.getNumberValidator)());Bc.Factory.addGetterSetter(na,"frameRate",17,(0,Mz.getNumberValidator)());Bc.Factory.backCompat(na,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var $S={};Object.defineProperty($S,"__esModule",{value:!0});$S.Star=void 0;const jE=dt,lwe=gr,GE=De,uwe=ft;class _u extends lwe.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}$S.Star=_u;_u.prototype.className="Star";_u.prototype._centroid=!0;_u.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,uwe._registerNode)(_u);jE.Factory.addGetterSetter(_u,"numPoints",5,(0,GE.getNumberValidator)());jE.Factory.addGetterSetter(_u,"innerRadius",0,(0,GE.getNumberValidator)());jE.Factory.addGetterSetter(_u,"outerRadius",0,(0,GE.getNumberValidator)());var xc={};Object.defineProperty(xc,"__esModule",{value:!0});xc.Text=xc.stringToArray=void 0;const P5=kn,wi=dt,cwe=gr,bu=De,dwe=ft;function Nz(e){return Array.from(e)}xc.stringToArray=Nz;var Ad="auto",fwe="center",hp="justify",hwe="Change.konva",pwe="2d",vk="-",Lz="left",gwe="text",mwe="Text",ywe="top",vwe="bottom",_k="middle",Dz="normal",_we="px ",X0=" ",bwe="right",Swe="word",wwe="char",bk="none",Jx="…",$z=["fontFamily","fontSize","fontStyle","fontVariant","padding","align","verticalAlign","lineHeight","text","width","height","wrap","ellipsis","letterSpacing"],xwe=$z.length;function Cwe(e){return e.split(",").map(t=>{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var Y0;function eC(){return Y0||(Y0=P5.Util.createCanvasElement().getContext(pwe),Y0)}function Twe(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function Ewe(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function Awe(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}class Wn extends cwe.Shape{constructor(t){super(Awe(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n<xwe;n++)this.on($z[n]+hwe,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),d=this.getWidth(),f=this.letterSpacing(),h=this.fill(),g=this.textDecoration(),m=g.indexOf("underline")!==-1,v=g.indexOf("line-through")!==-1,x,_=0,_=s/2,b=0,y=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",_k),t.setAttr("textAlign",Lz),a===_k?l=(this.getHeight()-r*s-i*2)/2:a===vwe&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),x=0;x<r;x++){var b=0,y=0,S=n[x],C=S.text,T=S.width,E=S.lastInParagraph,P,k,O;if(t.save(),u===bwe?b+=d-T-i*2:u===fwe&&(b+=(d-T-i*2)/2),m){t.save(),t.beginPath(),t.moveTo(b,_+y+Math.round(o/2)),P=C.split(" ").length-1,k=P===0,O=u===hp&&!E?d-i*2:T,t.lineTo(b+Math.round(O),_+y+Math.round(o/2)),t.lineWidth=o/15;const D=this._getLinearGradient();t.strokeStyle=D||h,t.stroke(),t.restore()}if(v){t.save(),t.beginPath(),t.moveTo(b,_+y),P=C.split(" ").length-1,k=P===0,O=u===hp&&E&&!k?d-i*2:T,t.lineTo(b+Math.round(O),_+y),t.lineWidth=o/15;const D=this._getLinearGradient();t.strokeStyle=D||h,t.stroke(),t.restore()}if(f!==0||u===hp){P=C.split(" ").length-1;for(var M=Nz(C),V=0;V<M.length;V++){var B=M[V];B===" "&&!E&&u===hp&&(b+=(d-i*2-T)/P),this._partialTextX=b,this._partialTextY=_+y,this._partialText=B,t.fillStrokeShape(this),b+=this.measureSize(B).width+f}}else this._partialTextX=b,this._partialTextY=_+y,this._partialText=C,t.fillStrokeShape(this);t.restore(),r>1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=P5.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(gwe,n),this}getWidth(){var t=this.attrs.width===Ad||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===Ad||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return P5.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}measureSize(t){var n=eC(),r=this.fontSize(),i;return n.save(),n.font=this._getContextFont(),i=n.measureText(t),n.restore(),{width:i.width,height:r}}_getContextFont(){return this.fontStyle()+X0+this.fontVariant()+X0+(this.fontSize()+_we)+Cwe(this.fontFamily())}_addTextLine(t){this.align()===hp&&(t=t.trim());var r=this._getTextWidth(t);return this.textArr.push({text:t,width:r,lastInParagraph:!1})}_getTextWidth(t){var n=this.letterSpacing(),r=t.length;return eC().measureText(t).width+(r?n*(r-1):0)}_setTextData(){var t=this.text().split(`
+`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,s=this.attrs.height,a=o!==Ad&&o!==void 0,l=s!==Ad&&s!==void 0,u=this.padding(),d=o-u*2,f=s-u*2,h=0,g=this.wrap(),m=g!==bk,v=g!==wwe&&m,x=this.ellipsis();this.textArr=[],eC().font=this._getContextFont();for(var _=x?this._getTextWidth(Jx):0,b=0,y=t.length;b<y;++b){var S=t[b],C=this._getTextWidth(S);if(a&&C>d)for(;S.length>0;){for(var T=0,E=S.length,P="",k=0;T<E;){var O=T+E>>>1,M=S.slice(0,O+1),V=this._getTextWidth(M)+_;V<=d?(T=O+1,P=M,k=V):E=O}if(P){if(v){var B,A=S[P.length],N=A===X0||A===vk;N&&k<=d?B=P.length:B=Math.max(P.lastIndexOf(X0),P.lastIndexOf(vk))+1,B>0&&(T=B,P=P.slice(0,T),k=this._getTextWidth(P))}P=P.trimRight(),this._addTextLine(P),r=Math.max(r,k),h+=i;var D=this._shouldHandleEllipsis(h);if(D){this._tryToAddEllipsisToLastLine();break}if(S=S.slice(T),S=S.trimLeft(),S.length>0&&(C=this._getTextWidth(S),C<=d)){this._addTextLine(S),h+=i,r=Math.max(r,C);break}}else break}else this._addTextLine(S),h+=i,r=Math.max(r,C),this._shouldHandleEllipsis(h)&&b<y-1&&this._tryToAddEllipsisToLastLine();if(this.textArr[this.textArr.length-1]&&(this.textArr[this.textArr.length-1].lastInParagraph=!0),l&&h+i>f)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==Ad&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==bk;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==Ad&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),s=this.textArr[this.textArr.length-1];if(!(!s||!o)){if(n){var a=this._getTextWidth(s.text+Jx)<i;a||(s.text=s.text.slice(0,s.text.length-3))}this.textArr.splice(this.textArr.length-1,1),this._addTextLine(s.text+Jx)}}getStrokeScaleEnabled(){return!0}}xc.Text=Wn;Wn.prototype._fillFunc=Twe;Wn.prototype._strokeFunc=Ewe;Wn.prototype.className=mwe;Wn.prototype._attrsAffectingSize=["text","fontSize","padding","wrap","lineHeight","letterSpacing"];(0,dwe._registerNode)(Wn);wi.Factory.overWriteSetter(Wn,"width",(0,bu.getNumberOrAutoValidator)());wi.Factory.overWriteSetter(Wn,"height",(0,bu.getNumberOrAutoValidator)());wi.Factory.addGetterSetter(Wn,"fontFamily","Arial");wi.Factory.addGetterSetter(Wn,"fontSize",12,(0,bu.getNumberValidator)());wi.Factory.addGetterSetter(Wn,"fontStyle",Dz);wi.Factory.addGetterSetter(Wn,"fontVariant",Dz);wi.Factory.addGetterSetter(Wn,"padding",0,(0,bu.getNumberValidator)());wi.Factory.addGetterSetter(Wn,"align",Lz);wi.Factory.addGetterSetter(Wn,"verticalAlign",ywe);wi.Factory.addGetterSetter(Wn,"lineHeight",1,(0,bu.getNumberValidator)());wi.Factory.addGetterSetter(Wn,"wrap",Swe);wi.Factory.addGetterSetter(Wn,"ellipsis",!1,(0,bu.getBooleanValidator)());wi.Factory.addGetterSetter(Wn,"letterSpacing",0,(0,bu.getNumberValidator)());wi.Factory.addGetterSetter(Wn,"text","",(0,bu.getStringValidator)());wi.Factory.addGetterSetter(Wn,"textDecoration","");var FS={};Object.defineProperty(FS,"__esModule",{value:!0});FS.TextPath=void 0;const tC=kn,_s=dt,Pwe=gr,pp=ih,nC=xc,Fz=De,Rwe=ft;var Owe="",Bz="normal";function Uz(e){e.fillText(this.partialText,0,0)}function zz(e){e.strokeText(this.partialText,0,0)}class mr extends Pwe.Shape{constructor(t){super(t),this.dummyCanvas=tC.Util.createCanvasElement(),this.dataArray=[],this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute(),this._setTextData()}),this.on("textChange.konva alignChange.konva letterSpacingChange.konva kerningFuncChange.konva fontSizeChange.konva fontFamilyChange.konva",this._setTextData),this._setTextData()}_getTextPathLength(){return pp.Path.getPathLength(this.dataArray)}_getPointAtLength(t){if(!this.attrs.data)return null;const n=this.pathLength;return t-1>n?null:pp.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=pp.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var s=0;s<o.length;s++){t.save();var a=o[s].p0;t.translate(a.x,a.y),t.rotate(o[s].rotation),this.partialText=o[s].text,t.fillStrokeShape(this),n==="underline"&&(s===0&&t.moveTo(0,i/2+1),t.lineTo(i,i/2+1)),t.restore()}n==="underline"&&(t.strokeStyle=r,t.lineWidth=i/20,t.stroke()),t.restore()}_hitFunc(t){t.beginPath();var n=this.glyphInfo;if(n.length>=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;i<n.length;i++){var o=n[i].p1;t.lineTo(o.x,o.y)}t.setAttr("lineWidth",this.fontSize()),t.setAttr("strokeStyle",this.colorKey),t.stroke()}getTextWidth(){return this.textWidth}getTextHeight(){return tC.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}setText(t){return nC.Text.prototype.setText.call(this,t)}_getContextFont(){return nC.Text.prototype._getContextFont.call(this)}_getTextSize(t){var n=this.dummyCanvas,r=n.getContext("2d");r.save(),r.font=this._getContextFont();var i=r.measureText(t);return r.restore(),{width:i.width,height:parseInt(`${this.fontSize()}`,10)}}_setTextData(){const{width:t,height:n}=this._getTextSize(this.attrs.text);if(this.textWidth=t,this.textHeight=n,this.glyphInfo=[],!this.attrs.data)return null;const r=this.letterSpacing(),i=this.align(),o=this.kerningFunc(),s=Math.max(this.textWidth+((this.attrs.text||"").length-1)*r,0);let a=0;i==="center"&&(a=Math.max(0,this.pathLength/2-s/2)),i==="right"&&(a=Math.max(0,this.pathLength-s));const l=(0,nC.stringToArray)(this.text());let u=a;for(var d=0;d<l.length;d++){const f=this._getPointAtLength(u);if(!f)return;let h=this._getTextSize(l[d]).width+r;if(l[d]===" "&&i==="justify"){const b=this.text().split(" ").length-1;h+=(this.pathLength-s)/b}const g=this._getPointAtLength(u+h);if(!g)return;const m=pp.Path.getLineLength(f.x,f.y,g.x,g.y);let v=0;if(o)try{v=o(l[d-1],l[d])*this.fontSize()}catch{v=0}f.x+=v,g.x+=v,this.textWidth+=v;const x=pp.Path.getPointOnLine(v+m/2,f.x,f.y,g.x,g.y),_=Math.atan2(g.y-f.y,g.x-f.x);this.glyphInfo.push({transposeX:x.x,transposeY:x.y,text:l[d],rotation:_,p0:f,p1:g}),u+=h}}getSelfRect(){if(!this.glyphInfo.length)return{x:0,y:0,width:0,height:0};var t=[];this.glyphInfo.forEach(function(d){t.push(d.p0.x),t.push(d.p0.y),t.push(d.p1.x),t.push(d.p1.y)});for(var n=t[0]||0,r=t[0]||0,i=t[1]||0,o=t[1]||0,s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],n=Math.min(n,s),r=Math.max(r,s),i=Math.min(i,a),o=Math.max(o,a);var u=this.fontSize();return{x:n-u/2,y:i-u/2,width:r-n+u,height:o-i+u}}destroy(){return tC.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}FS.TextPath=mr;mr.prototype._fillFunc=Uz;mr.prototype._strokeFunc=zz;mr.prototype._fillFuncHit=Uz;mr.prototype._strokeFuncHit=zz;mr.prototype.className="TextPath";mr.prototype._attrsAffectingSize=["text","fontSize","data"];(0,Rwe._registerNode)(mr);_s.Factory.addGetterSetter(mr,"data");_s.Factory.addGetterSetter(mr,"fontFamily","Arial");_s.Factory.addGetterSetter(mr,"fontSize",12,(0,Fz.getNumberValidator)());_s.Factory.addGetterSetter(mr,"fontStyle",Bz);_s.Factory.addGetterSetter(mr,"align","left");_s.Factory.addGetterSetter(mr,"letterSpacing",0,(0,Fz.getNumberValidator)());_s.Factory.addGetterSetter(mr,"textBaseline","middle");_s.Factory.addGetterSetter(mr,"fontVariant",Bz);_s.Factory.addGetterSetter(mr,"text",Owe);_s.Factory.addGetterSetter(mr,"textDecoration",null);_s.Factory.addGetterSetter(mr,"kerningFunc",null);var BS={};Object.defineProperty(BS,"__esModule",{value:!0});BS.Transformer=void 0;const Xt=kn,Wt=dt,Sk=wn,kwe=gr,Iwe=Wm,wk=nh,Qo=ft,Su=De,Mwe=ft;var Vz="tr-konva",Nwe=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${Vz}`).join(" "),xk="nodesRect",Lwe=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],Dwe={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const $we="ontouchstart"in Qo.Konva._global;function Fwe(e,t){if(e==="rotater")return"crosshair";t+=Xt.Util.degToRad(Dwe[e]||0);var n=(Xt.Util.radToDeg(t)%360+360)%360;return Xt.Util._inRange(n,315+22.5,360)||Xt.Util._inRange(n,0,22.5)?"ns-resize":Xt.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":Xt.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":Xt.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":Xt.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":Xt.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":Xt.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":Xt.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(Xt.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var h_=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],Ck=1e8;function Bwe(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function jz(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function Uwe(e,t){const n=Bwe(e);return jz(e,t,n)}function zwe(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=Qo.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class Mt extends wk.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(Nwe,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return Xt.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return Vz+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(Xt.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(Lwe.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(xk),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(xk,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=(Qo.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),d={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return jz(d,-Qo.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-Ck,y:-Ck,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const d=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var f=[{x:d.x,y:d.y},{x:d.x+d.width,y:d.y},{x:d.x+d.width,y:d.y+d.height},{x:d.x,y:d.y+d.height}],h=u.getAbsoluteTransform();f.forEach(function(g){var m=h.point(g);n.push(m)})});const r=new Xt.Transform;r.rotate(-Qo.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var d=r.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:Qo.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),h_.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new Iwe.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:$we?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=Qo.Konva.getAngle(this.rotation()),o=Fwe(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new kwe.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*Xt.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const d=o.getAbsolutePosition();if(!(u.x===d.x&&u.y===d.y)){if(this._movingAnchorName==="rotater"){var f=this._getNodeRect();n=o.x()-f.width/2,r=-o.y()+f.height/2;let B=Math.atan2(-r,n)+Math.PI/2;f.height<0&&(B-=Math.PI);var h=Qo.Konva.getAngle(this.rotation());const A=h+B,N=Qo.Konva.getAngle(this.rotationSnapTolerance()),U=zwe(this.rotationSnaps(),A,N)-f.rotation,$=Uwe(f,U);this._fitNodesInto($,t);return}var g=this.shiftBehavior(),m;g==="inverted"?m=this.keepRatio()&&!t.shiftKey:g==="none"?m=this.keepRatio():m=this.keepRatio()||t.shiftKey;var y=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(v.x-o.x(),2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-left").x()>v.x?-1:1,_=this.findOne(".top-left").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-left").x(v.x-n),this.findOne(".top-left").y(v.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-v.x,2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-right").x()<v.x?-1:1,_=this.findOne(".top-right").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-right").x(v.x+n),this.findOne(".top-right").y(v.y-r)}var b=o.position();this.findOne(".top-left").y(b.y),this.findOne(".bottom-right").x(b.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(v.x-o.x(),2)+Math.pow(o.y()-v.y,2));var x=v.x<o.x()?-1:1,_=o.y()<v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,o.x(v.x-n),o.y(v.y+r)}b=o.position(),this.findOne(".top-left").x(b.x),this.findOne(".bottom-right").y(b.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-v.x,2)+Math.pow(o.y()-v.y,2));var x=this.findOne(".bottom-right").x()<v.x?-1:1,_=this.findOne(".bottom-right").y()<v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".bottom-right").x(v.x+n),this.findOne(".bottom-right").y(v.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var y=this.centeredScaling()||t.altKey;if(y){var S=this.findOne(".top-left"),C=this.findOne(".bottom-right"),T=S.x(),E=S.y(),P=this.getWidth()-C.x(),k=this.getHeight()-C.y();C.move({x:-T,y:-E}),S.move({x:P,y:k})}var O=this.findOne(".top-left").getAbsolutePosition();n=O.x,r=O.y;var M=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),V=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:M,height:V,rotation:Qo.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(Xt.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(Xt.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new Xt.Transform;if(s.rotate(Qo.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const f=s.point({x:-this.padding()*2,y:0});if(t.x+=f.x,t.y+=f.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const f=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const f=s.point({x:0,y:-this.padding()*2});if(t.x+=f.x,t.y+=f.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const f=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const f=this.boundBoxFunc()(r,t);f?t=f:Xt.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new Xt.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new Xt.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const d=u.multiply(l.invert());this._nodes.forEach(f=>{var h;const g=f.getParent().getAbsoluteTransform(),m=f.getTransform().copy();m.translate(f.offsetX(),f.offsetY());const v=new Xt.Transform;v.multiply(g.copy().invert()).multiply(d).multiply(g).multiply(m);const x=v.decompose();f.setAttrs(x),this._fire("transform",{evt:n,target:f}),f._fire("transform",{evt:n,target:f}),(h=f.getLayer())===null||h===void 0||h.batchDraw()}),this.rotation(Xt.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(Xt.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(f=>{f.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*Xt.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const d=this.anchorStyleFunc();d&&u.forEach(f=>{d(f)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),wk.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return Sk.Node.prototype.toObject.call(this)}clone(t){var n=Sk.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}BS.Transformer=Mt;function Vwe(e){return e instanceof Array||Xt.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){h_.indexOf(t)===-1&&Xt.Util.warn("Unknown anchor name: "+t+". Available names are: "+h_.join(", "))}),e||[]}Mt.prototype.className="Transformer";(0,Mwe._registerNode)(Mt);Wt.Factory.addGetterSetter(Mt,"enabledAnchors",h_,Vwe);Wt.Factory.addGetterSetter(Mt,"flipEnabled",!0,(0,Su.getBooleanValidator)());Wt.Factory.addGetterSetter(Mt,"resizeEnabled",!0);Wt.Factory.addGetterSetter(Mt,"anchorSize",10,(0,Su.getNumberValidator)());Wt.Factory.addGetterSetter(Mt,"rotateEnabled",!0);Wt.Factory.addGetterSetter(Mt,"rotationSnaps",[]);Wt.Factory.addGetterSetter(Mt,"rotateAnchorOffset",50,(0,Su.getNumberValidator)());Wt.Factory.addGetterSetter(Mt,"rotationSnapTolerance",5,(0,Su.getNumberValidator)());Wt.Factory.addGetterSetter(Mt,"borderEnabled",!0);Wt.Factory.addGetterSetter(Mt,"anchorStroke","rgb(0, 161, 255)");Wt.Factory.addGetterSetter(Mt,"anchorStrokeWidth",1,(0,Su.getNumberValidator)());Wt.Factory.addGetterSetter(Mt,"anchorFill","white");Wt.Factory.addGetterSetter(Mt,"anchorCornerRadius",0,(0,Su.getNumberValidator)());Wt.Factory.addGetterSetter(Mt,"borderStroke","rgb(0, 161, 255)");Wt.Factory.addGetterSetter(Mt,"borderStrokeWidth",1,(0,Su.getNumberValidator)());Wt.Factory.addGetterSetter(Mt,"borderDash");Wt.Factory.addGetterSetter(Mt,"keepRatio",!0);Wt.Factory.addGetterSetter(Mt,"shiftBehavior","default");Wt.Factory.addGetterSetter(Mt,"centeredScaling",!1);Wt.Factory.addGetterSetter(Mt,"ignoreStroke",!1);Wt.Factory.addGetterSetter(Mt,"padding",0,(0,Su.getNumberValidator)());Wt.Factory.addGetterSetter(Mt,"node");Wt.Factory.addGetterSetter(Mt,"nodes");Wt.Factory.addGetterSetter(Mt,"boundBoxFunc");Wt.Factory.addGetterSetter(Mt,"anchorDragBoundFunc");Wt.Factory.addGetterSetter(Mt,"anchorStyleFunc");Wt.Factory.addGetterSetter(Mt,"shouldOverdrawWholeArea",!1);Wt.Factory.addGetterSetter(Mt,"useSingleNodeRotation",!0);Wt.Factory.backCompat(Mt,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var US={};Object.defineProperty(US,"__esModule",{value:!0});US.Wedge=void 0;const zS=dt,jwe=gr,Gwe=ft,Gz=De,Hwe=ft;class el extends jwe.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,Gwe.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}US.Wedge=el;el.prototype.className="Wedge";el.prototype._centroid=!0;el.prototype._attrsAffectingSize=["radius"];(0,Hwe._registerNode)(el);zS.Factory.addGetterSetter(el,"radius",0,(0,Gz.getNumberValidator)());zS.Factory.addGetterSetter(el,"angle",0,(0,Gz.getNumberValidator)());zS.Factory.addGetterSetter(el,"clockwise",!1);zS.Factory.backCompat(el,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var VS={};Object.defineProperty(VS,"__esModule",{value:!0});VS.Blur=void 0;const Tk=dt,Wwe=wn,qwe=De;function Ek(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var Kwe=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],Xwe=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function Ywe(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,d,f,h,g,m,v,x,_,b,y,S,C,T,E,P,k,O,M,V,B=t+t+1,A=r-1,N=i-1,D=t+1,U=D*(D+1)/2,$=new Ek,j=null,G=$,q=null,Z=null,ee=Kwe[t],ie=Xwe[t];for(a=1;a<B;a++)G=G.next=new Ek,a===D&&(j=G);for(G.next=$,f=d=0,s=0;s<i;s++){for(S=C=T=E=h=g=m=v=0,x=D*(P=n[d]),_=D*(k=n[d+1]),b=D*(O=n[d+2]),y=D*(M=n[d+3]),h+=U*P,g+=U*k,m+=U*O,v+=U*M,G=$,a=0;a<D;a++)G.r=P,G.g=k,G.b=O,G.a=M,G=G.next;for(a=1;a<D;a++)l=d+((A<a?A:a)<<2),h+=(G.r=P=n[l])*(V=D-a),g+=(G.g=k=n[l+1])*V,m+=(G.b=O=n[l+2])*V,v+=(G.a=M=n[l+3])*V,S+=P,C+=k,T+=O,E+=M,G=G.next;for(q=$,Z=j,o=0;o<r;o++)n[d+3]=M=v*ee>>ie,M!==0?(M=255/M,n[d]=(h*ee>>ie)*M,n[d+1]=(g*ee>>ie)*M,n[d+2]=(m*ee>>ie)*M):n[d]=n[d+1]=n[d+2]=0,h-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=f+((l=o+t+1)<A?l:A)<<2,S+=q.r=n[l],C+=q.g=n[l+1],T+=q.b=n[l+2],E+=q.a=n[l+3],h+=S,g+=C,m+=T,v+=E,q=q.next,x+=P=Z.r,_+=k=Z.g,b+=O=Z.b,y+=M=Z.a,S-=P,C-=k,T-=O,E-=M,Z=Z.next,d+=4;f+=r}for(o=0;o<r;o++){for(C=T=E=S=g=m=v=h=0,d=o<<2,x=D*(P=n[d]),_=D*(k=n[d+1]),b=D*(O=n[d+2]),y=D*(M=n[d+3]),h+=U*P,g+=U*k,m+=U*O,v+=U*M,G=$,a=0;a<D;a++)G.r=P,G.g=k,G.b=O,G.a=M,G=G.next;for(u=r,a=1;a<=t;a++)d=u+o<<2,h+=(G.r=P=n[d])*(V=D-a),g+=(G.g=k=n[d+1])*V,m+=(G.b=O=n[d+2])*V,v+=(G.a=M=n[d+3])*V,S+=P,C+=k,T+=O,E+=M,G=G.next,a<N&&(u+=r);for(d=o,q=$,Z=j,s=0;s<i;s++)l=d<<2,n[l+3]=M=v*ee>>ie,M>0?(M=255/M,n[l]=(h*ee>>ie)*M,n[l+1]=(g*ee>>ie)*M,n[l+2]=(m*ee>>ie)*M):n[l]=n[l+1]=n[l+2]=0,h-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=o+((l=s+D)<N?l:N)*r<<2,h+=S+=q.r=n[l],g+=C+=q.g=n[l+1],m+=T+=q.b=n[l+2],v+=E+=q.a=n[l+3],q=q.next,x+=P=Z.r,_+=k=Z.g,b+=O=Z.b,y+=M=Z.a,S-=P,C-=k,T-=O,E-=M,Z=Z.next,d+=r}}const Qwe=function(t){var n=Math.round(this.blurRadius());n>0&&Ywe(t,n)};VS.Blur=Qwe;Tk.Factory.addGetterSetter(Wwe.Node,"blurRadius",0,(0,qwe.getNumberValidator)(),Tk.Factory.afterSetFilter);var jS={};Object.defineProperty(jS,"__esModule",{value:!0});jS.Brighten=void 0;const Ak=dt,Zwe=wn,Jwe=De,exe=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};jS.Brighten=exe;Ak.Factory.addGetterSetter(Zwe.Node,"brightness",0,(0,Jwe.getNumberValidator)(),Ak.Factory.afterSetFilter);var GS={};Object.defineProperty(GS,"__esModule",{value:!0});GS.Contrast=void 0;const Pk=dt,txe=wn,nxe=De,rxe=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};GS.Contrast=rxe;Pk.Factory.addGetterSetter(txe.Node,"contrast",0,(0,nxe.getNumberValidator)(),Pk.Factory.afterSetFilter);var HS={};Object.defineProperty(HS,"__esModule",{value:!0});HS.Emboss=void 0;const su=dt,WS=wn,ixe=kn,Hz=De,oxe=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,d=l*4,f=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:ixe.Util.error("Unknown emboss direction: "+r)}do{var h=(f-1)*d,g=o;f+g<1&&(g=0),f+g>u&&(g=0);var m=(f-1+g)*l*4,v=l;do{var x=h+(v-1)*4,_=s;v+_<1&&(_=0),v+_>l&&(_=0);var b=m+(v-1+_)*4,y=a[x]-a[b],S=a[x+1]-a[b+1],C=a[x+2]-a[b+2],T=y,E=T>0?T:-T,P=S>0?S:-S,k=C>0?C:-C;if(P>E&&(T=S),k>E&&(T=C),T*=t,i){var O=a[x]+T,M=a[x+1]+T,V=a[x+2]+T;a[x]=O>255?255:O<0?0:O,a[x+1]=M>255?255:M<0?0:M,a[x+2]=V>255?255:V<0?0:V}else{var B=n-T;B<0?B=0:B>255&&(B=255),a[x]=a[x+1]=a[x+2]=B}}while(--v)}while(--f)};HS.Emboss=oxe;su.Factory.addGetterSetter(WS.Node,"embossStrength",.5,(0,Hz.getNumberValidator)(),su.Factory.afterSetFilter);su.Factory.addGetterSetter(WS.Node,"embossWhiteLevel",.5,(0,Hz.getNumberValidator)(),su.Factory.afterSetFilter);su.Factory.addGetterSetter(WS.Node,"embossDirection","top-left",null,su.Factory.afterSetFilter);su.Factory.addGetterSetter(WS.Node,"embossBlend",!1,null,su.Factory.afterSetFilter);var qS={};Object.defineProperty(qS,"__esModule",{value:!0});qS.Enhance=void 0;const Rk=dt,sxe=wn,axe=De;function rC(e,t,n,r,i){var o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const lxe=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],d=u,f,h,g=this.enhance();if(g!==0){for(h=0;h<n;h+=4)o=t[h+0],o<r?r=o:o>i&&(i=o),l=t[h+1],l<s?s=l:l>a&&(a=l),f=t[h+2],f<u?u=f:f>d&&(d=f);i===r&&(i=255,r=0),a===s&&(a=255,s=0),d===u&&(d=255,u=0);var m,v,x,_,b,y,S,C,T;for(g>0?(v=i+g*(255-i),x=r-g*(r-0),b=a+g*(255-a),y=s-g*(s-0),C=d+g*(255-d),T=u-g*(u-0)):(m=(i+r)*.5,v=i+g*(i-m),x=r+g*(r-m),_=(a+s)*.5,b=a+g*(a-_),y=s+g*(s-_),S=(d+u)*.5,C=d+g*(d-S),T=u+g*(u-S)),h=0;h<n;h+=4)t[h+0]=rC(t[h+0],r,i,x,v),t[h+1]=rC(t[h+1],s,a,y,b),t[h+2]=rC(t[h+2],u,d,T,C)}};qS.Enhance=lxe;Rk.Factory.addGetterSetter(sxe.Node,"enhance",0,(0,axe.getNumberValidator)(),Rk.Factory.afterSetFilter);var KS={};Object.defineProperty(KS,"__esModule",{value:!0});KS.Grayscale=void 0;const uxe=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};KS.Grayscale=uxe;var XS={};Object.defineProperty(XS,"__esModule",{value:!0});XS.HSL=void 0;const jf=dt,HE=wn,WE=De;jf.Factory.addGetterSetter(HE.Node,"hue",0,(0,WE.getNumberValidator)(),jf.Factory.afterSetFilter);jf.Factory.addGetterSetter(HE.Node,"saturation",0,(0,WE.getNumberValidator)(),jf.Factory.afterSetFilter);jf.Factory.addGetterSetter(HE.Node,"luminance",0,(0,WE.getNumberValidator)(),jf.Factory.afterSetFilter);const cxe=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s=this.luminance()*127,a,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),d=.299*r+.701*l+.167*u,f=.587*r-.587*l+.33*u,h=.114*r-.114*l-.497*u,g=.299*r-.299*l-.328*u,m=.587*r+.413*l+.035*u,v=.114*r-.114*l+.293*u,x=.299*r-.3*l+1.25*u,_=.587*r-.586*l-1.05*u,b=.114*r+.886*l-.2*u,y,S,C,T;for(a=0;a<n;a+=4)y=t[a+0],S=t[a+1],C=t[a+2],T=t[a+3],t[a+0]=d*y+f*S+h*C+s,t[a+1]=g*y+m*S+v*C+s,t[a+2]=x*y+_*S+b*C+s,t[a+3]=T};XS.HSL=cxe;var YS={};Object.defineProperty(YS,"__esModule",{value:!0});YS.HSV=void 0;const Gf=dt,qE=wn,KE=De,dxe=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,d=.587*r-.587*a+.33*l,f=.114*r-.114*a-.497*l,h=.299*r-.299*a-.328*l,g=.587*r+.413*a+.035*l,m=.114*r-.114*a+.293*l,v=.299*r-.3*a+1.25*l,x=.587*r-.586*a-1.05*l,_=.114*r+.886*a-.2*l,b,y,S,C;for(s=0;s<n;s+=4)b=t[s+0],y=t[s+1],S=t[s+2],C=t[s+3],t[s+0]=u*b+d*y+f*S,t[s+1]=h*b+g*y+m*S,t[s+2]=v*b+x*y+_*S,t[s+3]=C};YS.HSV=dxe;Gf.Factory.addGetterSetter(qE.Node,"hue",0,(0,KE.getNumberValidator)(),Gf.Factory.afterSetFilter);Gf.Factory.addGetterSetter(qE.Node,"saturation",0,(0,KE.getNumberValidator)(),Gf.Factory.afterSetFilter);Gf.Factory.addGetterSetter(qE.Node,"value",0,(0,KE.getNumberValidator)(),Gf.Factory.afterSetFilter);var QS={};Object.defineProperty(QS,"__esModule",{value:!0});QS.Invert=void 0;const fxe=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};QS.Invert=fxe;var ZS={};Object.defineProperty(ZS,"__esModule",{value:!0});ZS.Kaleidoscope=void 0;const p_=dt,Wz=wn,Ok=kn,qz=De;var hxe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,d,f,h=0,g=0,m=0,v=0,x,_=Math.sqrt(a*a+l*l);d=o-a,f=s-l,x=Math.sqrt(d*d+f*f),_=x>_?x:_;var b=s,y=o,S,C,T=360/y*Math.PI/180,E,P;for(C=0;C<y;C+=1)for(E=Math.sin(C*T),P=Math.cos(C*T),S=0;S<b;S+=1)d=Math.floor(a+_*S/b*P),f=Math.floor(l+_*S/b*E),u=(f*o+d)*4,h=r[u+0],g=r[u+1],m=r[u+2],v=r[u+3],u=(C+S*o)*4,i[u+0]=h,i[u+1]=g,i[u+2]=m,i[u+3]=v},pxe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,d,f,h,g,m=0,v=0,x=0,_=0,b,y=Math.sqrt(a*a+l*l);d=o-a,f=s-l,b=Math.sqrt(d*d+f*f),y=b>y?b:y;var S=s,C=o,T,E,P=n.polarRotation||0,k,O;for(d=0;d<o;d+=1)for(f=0;f<s;f+=1)h=d-a,g=f-l,T=Math.sqrt(h*h+g*g)*S/y,E=(Math.atan2(g,h)*180/Math.PI+360+P)%360,E=E*C/360,k=Math.floor(E),O=Math.floor(T),u=(O*o+k)*4,m=r[u+0],v=r[u+1],x=r[u+2],_=r[u+3],u=(f*o+d)*4,i[u+0]=m,i[u+1]=v,i[u+2]=x,i[u+3]=_};const gxe=function(e){var t=e.width,n=e.height,r,i,o,s,a,l,u,d,f,h,g=Math.round(this.kaleidoscopePower()),m=Math.round(this.kaleidoscopeAngle()),v=Math.floor(t*(m%360)/360);if(!(g<1)){var x=Ok.Util.createCanvasElement();x.width=t,x.height=n;var _=x.getContext("2d").getImageData(0,0,t,n);Ok.Util.releaseCanvas(x),hxe(e,_,{polarCenterX:t/2,polarCenterY:n/2});for(var b=t/Math.pow(2,g);b<=8;)b=b*2,g-=1;b=Math.ceil(b);var y=b,S=0,C=y,T=1;for(v+b>t&&(S=y,C=0,T=-1),i=0;i<n;i+=1)for(r=S;r!==C;r+=T)o=Math.round(r+v)%t,f=(t*i+o)*4,a=_.data[f+0],l=_.data[f+1],u=_.data[f+2],d=_.data[f+3],h=(t*i+r)*4,_.data[h+0]=a,_.data[h+1]=l,_.data[h+2]=u,_.data[h+3]=d;for(i=0;i<n;i+=1)for(y=Math.floor(b),s=0;s<g;s+=1){for(r=0;r<y+1;r+=1)f=(t*i+r)*4,a=_.data[f+0],l=_.data[f+1],u=_.data[f+2],d=_.data[f+3],h=(t*i+y*2-r-1)*4,_.data[h+0]=a,_.data[h+1]=l,_.data[h+2]=u,_.data[h+3]=d;y*=2}pxe(_,e,{polarRotation:0})}};ZS.Kaleidoscope=gxe;p_.Factory.addGetterSetter(Wz.Node,"kaleidoscopePower",2,(0,qz.getNumberValidator)(),p_.Factory.afterSetFilter);p_.Factory.addGetterSetter(Wz.Node,"kaleidoscopeAngle",0,(0,qz.getNumberValidator)(),p_.Factory.afterSetFilter);var JS={};Object.defineProperty(JS,"__esModule",{value:!0});JS.Mask=void 0;const kk=dt,mxe=wn,yxe=De;function Q0(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function gp(e,t){return Math.sqrt(Math.pow(e[0]-t[0],2)+Math.pow(e[1]-t[1],2)+Math.pow(e[2]-t[2],2))}function vxe(e){for(var t=[0,0,0],n=0;n<e.length;n++)t[0]+=e[n][0],t[1]+=e[n][1],t[2]+=e[n][2];return t[0]/=e.length,t[1]/=e.length,t[2]/=e.length,t}function _xe(e,t){var n=Q0(e,0,0),r=Q0(e,e.width-1,0),i=Q0(e,0,e.height-1),o=Q0(e,e.width-1,e.height-1),s=t||10;if(gp(n,r)<s&&gp(r,o)<s&&gp(o,i)<s&&gp(i,n)<s){for(var a=vxe([r,n,o,i]),l=[],u=0;u<e.width*e.height;u++){var d=gp(a,[e.data[u*4],e.data[u*4+1],e.data[u*4+2]]);l[u]=d<s?0:255}return l}}function bxe(e,t){for(var n=0;n<e.width*e.height;n++)e.data[4*n+3]=t[n]}function Sxe(e,t,n){for(var r=[1,1,1,1,0,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var h=0;h<i;h++){var g=a+f-o,m=l+h-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+h];d+=e[v]*x}}s[u]=d===255*8?255:0}return s}function wxe(e,t,n){for(var r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var h=0;h<i;h++){var g=a+f-o,m=l+h-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+h];d+=e[v]*x}}s[u]=d>=255*4?255:0}return s}function xxe(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var h=0;h<i;h++){var g=a+f-o,m=l+h-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+h];d+=e[v]*x}}s[u]=d}return s}const Cxe=function(e){var t=this.threshold(),n=_xe(e,t);return n&&(n=Sxe(n,e.width,e.height),n=wxe(n,e.width,e.height),n=xxe(n,e.width,e.height),bxe(e,n)),e};JS.Mask=Cxe;kk.Factory.addGetterSetter(mxe.Node,"threshold",0,(0,yxe.getNumberValidator)(),kk.Factory.afterSetFilter);var e2={};Object.defineProperty(e2,"__esModule",{value:!0});e2.Noise=void 0;const Ik=dt,Txe=wn,Exe=De,Axe=function(e){var t=this.noise()*255,n=e.data,r=n.length,i=t/2,o;for(o=0;o<r;o+=4)n[o+0]+=i-2*i*Math.random(),n[o+1]+=i-2*i*Math.random(),n[o+2]+=i-2*i*Math.random()};e2.Noise=Axe;Ik.Factory.addGetterSetter(Txe.Node,"noise",.2,(0,Exe.getNumberValidator)(),Ik.Factory.afterSetFilter);var t2={};Object.defineProperty(t2,"__esModule",{value:!0});t2.Pixelate=void 0;const Mk=dt,Pxe=kn,Rxe=wn,Oxe=De,kxe=function(e){var t=Math.ceil(this.pixelSize()),n=e.width,r=e.height,i,o,s,a,l,u,d,f=Math.ceil(n/t),h=Math.ceil(r/t),g,m,v,x,_,b,y,S=e.data;if(t<=0){Pxe.Util.error("pixelSize value can not be <= 0");return}for(_=0;_<f;_+=1)for(b=0;b<h;b+=1){for(a=0,l=0,u=0,d=0,g=_*t,m=g+t,v=b*t,x=v+t,y=0,i=g;i<m;i+=1)if(!(i>=n))for(o=v;o<x;o+=1)o>=r||(s=(n*o+i)*4,a+=S[s+0],l+=S[s+1],u+=S[s+2],d+=S[s+3],y+=1);for(a=a/y,l=l/y,u=u/y,d=d/y,i=g;i<m;i+=1)if(!(i>=n))for(o=v;o<x;o+=1)o>=r||(s=(n*o+i)*4,S[s+0]=a,S[s+1]=l,S[s+2]=u,S[s+3]=d)}};t2.Pixelate=kxe;Mk.Factory.addGetterSetter(Rxe.Node,"pixelSize",8,(0,Oxe.getNumberValidator)(),Mk.Factory.afterSetFilter);var n2={};Object.defineProperty(n2,"__esModule",{value:!0});n2.Posterize=void 0;const Nk=dt,Ixe=wn,Mxe=De,Nxe=function(e){var t=Math.round(this.levels()*254)+1,n=e.data,r=n.length,i=255/t,o;for(o=0;o<r;o+=1)n[o]=Math.floor(n[o]/i)*i};n2.Posterize=Nxe;Nk.Factory.addGetterSetter(Ixe.Node,"levels",.5,(0,Mxe.getNumberValidator)(),Nk.Factory.afterSetFilter);var r2={};Object.defineProperty(r2,"__esModule",{value:!0});r2.RGB=void 0;const g_=dt,XE=wn,Lxe=De,Dxe=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s,a;for(s=0;s<n;s+=4)a=(.34*t[s]+.5*t[s+1]+.16*t[s+2])/255,t[s]=a*r,t[s+1]=a*i,t[s+2]=a*o,t[s+3]=t[s+3]};r2.RGB=Dxe;g_.Factory.addGetterSetter(XE.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});g_.Factory.addGetterSetter(XE.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});g_.Factory.addGetterSetter(XE.Node,"blue",0,Lxe.RGBComponent,g_.Factory.afterSetFilter);var i2={};Object.defineProperty(i2,"__esModule",{value:!0});i2.RGBA=void 0;const Qg=dt,o2=wn,$xe=De,Fxe=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),s=this.alpha(),a,l;for(a=0;a<n;a+=4)l=1-s,t[a]=r*s+t[a]*l,t[a+1]=i*s+t[a+1]*l,t[a+2]=o*s+t[a+2]*l};i2.RGBA=Fxe;Qg.Factory.addGetterSetter(o2.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Qg.Factory.addGetterSetter(o2.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});Qg.Factory.addGetterSetter(o2.Node,"blue",0,$xe.RGBComponent,Qg.Factory.afterSetFilter);Qg.Factory.addGetterSetter(o2.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var s2={};Object.defineProperty(s2,"__esModule",{value:!0});s2.Sepia=void 0;const Bxe=function(e){var t=e.data,n=t.length,r,i,o,s;for(r=0;r<n;r+=4)i=t[r+0],o=t[r+1],s=t[r+2],t[r+0]=Math.min(255,i*.393+o*.769+s*.189),t[r+1]=Math.min(255,i*.349+o*.686+s*.168),t[r+2]=Math.min(255,i*.272+o*.534+s*.131)};s2.Sepia=Bxe;var a2={};Object.defineProperty(a2,"__esModule",{value:!0});a2.Solarize=void 0;const Uxe=function(e){var t=e.data,n=e.width,r=e.height,i=n*4,o=r;do{var s=(o-1)*i,a=n;do{var l=s+(a-1)*4,u=t[l],d=t[l+1],f=t[l+2];u>127&&(u=255-u),d>127&&(d=255-d),f>127&&(f=255-f),t[l]=u,t[l+1]=d,t[l+2]=f}while(--a)}while(--o)};a2.Solarize=Uxe;var l2={};Object.defineProperty(l2,"__esModule",{value:!0});l2.Threshold=void 0;const Lk=dt,zxe=wn,Vxe=De,jxe=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=1)n[i]=n[i]<t?0:255};l2.Threshold=jxe;Lk.Factory.addGetterSetter(zxe.Node,"threshold",.5,(0,Vxe.getNumberValidator)(),Lk.Factory.afterSetFilter);Object.defineProperty(yS,"__esModule",{value:!0});yS.Konva=void 0;const Dk=hz,Gxe=xS,Hxe=ES,Wxe=RS,qxe=OS,Kxe=kS,$k=Vf,Xxe=Gm,Yxe=ih,Qxe=Wm,Zxe=NS,Jxe=LS,eCe=DS,tCe=$S,nCe=xc,rCe=FS,iCe=BS,oCe=US,sCe=VS,aCe=jS,lCe=GS,uCe=HS,cCe=qS,dCe=KS,fCe=XS,hCe=YS,pCe=QS,gCe=ZS,mCe=JS,yCe=e2,vCe=t2,_Ce=n2,bCe=r2,SCe=i2,wCe=s2,xCe=a2,CCe=l2;yS.Konva=Dk.Konva.Util._assign(Dk.Konva,{Arc:Gxe.Arc,Arrow:Hxe.Arrow,Circle:Wxe.Circle,Ellipse:qxe.Ellipse,Image:Kxe.Image,Label:$k.Label,Tag:$k.Tag,Line:Xxe.Line,Path:Yxe.Path,Rect:Qxe.Rect,RegularPolygon:Zxe.RegularPolygon,Ring:Jxe.Ring,Sprite:eCe.Sprite,Star:tCe.Star,Text:nCe.Text,TextPath:rCe.TextPath,Transformer:iCe.Transformer,Wedge:oCe.Wedge,Filters:{Blur:sCe.Blur,Brighten:aCe.Brighten,Contrast:lCe.Contrast,Emboss:uCe.Emboss,Enhance:cCe.Enhance,Grayscale:dCe.Grayscale,HSL:fCe.HSL,HSV:hCe.HSV,Invert:pCe.Invert,Kaleidoscope:gCe.Kaleidoscope,Mask:mCe.Mask,Noise:yCe.Noise,Pixelate:vCe.Pixelate,Posterize:_Ce.Posterize,RGB:bCe.RGB,RGBA:SCe.RGBA,Sepia:wCe.Sepia,Solarize:xCe.Solarize,Threshold:CCe.Threshold}});var TCe=LE.exports;Object.defineProperty(TCe,"__esModule",{value:!0});const ECe=yS;LE.exports=ECe.Konva;var ACe=LE.exports;const mp=Tc(ACe),PCe=async(e,t,n)=>{const{width:r,height:i}=t,o=document.createElement("div"),s=new mp.Stage({container:o,width:r,height:i}),a=new mp.Layer,l=new mp.Layer;return a.add(new mp.Rect({...t,fill:n?"black":"white"})),e.forEach(u=>l.add(new mp.Line({points:u.points,stroke:n?"white":"black",strokeWidth:u.strokeWidth*2,tension:0,lineCap:"round",lineJoin:"round",shadowForStrokeEnabled:!1,globalCompositeOperation:u.tool==="brush"?"source-over":"destination-out"}))),s.add(a),s.add(l),o.remove(),s},RCe=async(e,t,n)=>new Promise((r,i)=>{const o=document.createElement("canvas");o.width=t,o.height=n;const s=o.getContext("2d"),a=new Image;if(!s){o.remove(),i("Unable to get context");return}a.onload=function(){s.drawImage(a,0,0),o.remove(),r(s.getImageData(0,0,t,n))},a.src=e}),Fk=async(e,t)=>{const n=e.toDataURL(t);return await RCe(n,t.width,t.height)},OCe=async(e,t,n,r,i)=>{const o=ke("canvas"),s=gS(),a=G_e();if(!s||!a){o.error("Unable to find canvas / stage");return}const l={...t,...n},u=s.clone();u.scale({x:1,y:1});const d=u.getAbsolutePosition(),f={x:l.x+d.x,y:l.y+d.y,width:l.width,height:l.height},h=await c_(u,f),g=await Fk(u,f),m=await PCe(r?e.objects.filter(w$):[],l,i),v=await c_(m,l),x=await Fk(m,l);return{baseBlob:h,baseImageData:g,maskBlob:v,maskImageData:x}},kCe=e=>{let t=!0,n=!1;const r=e.length;let i=3;for(i;i<r;i+=4)if(e[i]===255?t=!1:n=!0,!t&&n)return{isFullyTransparent:t,isPartiallyTransparent:n};return{isFullyTransparent:t,isPartiallyTransparent:n}},ICe=e=>{const t=e.length;let n=0;for(n;n<t;)if(e[n++]===0&&e[n++]===0&&e[n++]===0&&e[n++]===255)return!0;return!1},MCe=(e,t)=>{const{isPartiallyTransparent:n,isFullyTransparent:r}=kCe(e.data),i=ICe(t.data);return 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a="",l=0;gc(i,u=>{const{model_name:d,base_model:f,weight:h}=u,g=`${az}_${d.replace(".","_")}`,m={type:"lora_loader",id:g,is_intermediate:!0,lora:{model_name:d,base_model:f},weight:h};s&&s.loras.push({lora:{model_name:d,base_model:f},weight:h}),t.nodes[g]=m,l===0?(t.edges.push({source:{node_id:r,field:"unet"},destination:{node_id:g,field:"unet"}}),t.edges.push({source:{node_id:It,field:"clip"},destination:{node_id:g,field:"clip"}})):(t.edges.push({source:{node_id:a,field:"unet"},destination:{node_id:g,field:"unet"}}),t.edges.push({source:{node_id:a,field:"clip"},destination:{node_id:g,field:"clip"}})),l===o-1&&(t.edges.push({source:{node_id:g,field:"unet"},destination:{node_id:n,field:"unet"}}),t.edges.push({source:{node_id:g,field:"clip"},destination:{node_id:$e,field:"clip"}}),t.edges.push({source:{node_id:g,field:"clip"},destination:{node_id:Be,field:"clip"}})),a=g,l+=1})},Kz=mi(e=>e.ui,e=>y$[e.activeTab],{memoizeOptions:{equalityCheck:gb}}),PMe=mi(e=>e.ui,e=>e.activeTab,{memoizeOptions:{equalityCheck:gb}}),RMe=mi(e=>e.ui,e=>e,{memoizeOptions:{equalityCheck:gb}}),Bo=(e,t,n=it)=>{const 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M=T.width,V=T.height;O.nodes[ko]={type:"img_resize",id:ko,is_intermediate:!0,width:M,height:V,image:t},O.nodes[Ni]={type:"img_resize",id:Ni,is_intermediate:!0,width:M,height:V,image:n},O.nodes[ti]={type:"img_resize",id:ti,is_intermediate:!0,width:S,height:C},O.nodes[er]={type:"img_resize",id:er,is_intermediate:!0,width:S,height:C},O.nodes[Se]={...O.nodes[Se],width:M,height:V},O.edges.push({source:{node_id:ko,field:"image"},destination:{node_id:hn,field:"image"}},{source:{node_id:Ni,field:"image"},destination:{node_id:ut,field:"image"}},{source:{node_id:it,field:"image"},destination:{node_id:ti,field:"image"}},{source:{node_id:ti,field:"image"},destination:{node_id:wt,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:er,field:"image"}},{source:{node_id:er,field:"image"},destination:{node_id:wt,field:"mask"}},{source:{node_id:wt,field:"image"},destination:{node_id:Ie,field:"image"}},{source:{node_id:er,field:"image"},destination:{node_id:Ie,field:"mask"}})}else 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r=ke("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,img2imgStrength:d,iterations:f,seed:h,shouldRandomizeSeed:g,vaePrecision:m,shouldUseNoiseSettings:v,shouldUseCpuNoise:x,maskBlur:_,maskBlurMethod:b,tileSize:y,infillMethod:S,clipSkip:C}=e.generation;if(!s)throw r.error("No model found in state"),new Error("No model found in 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B=P.width,A=P.height;V.nodes[ko]={type:"img_resize",id:ko,is_intermediate:!0,width:B,height:A,image:t},V.nodes[Ni]={type:"img_resize",id:Ni,is_intermediate:!0,width:B,height:A},V.nodes[ti]={type:"img_resize",id:ti,is_intermediate:!0,width:T,height:E},V.nodes[Ls]={type:"img_resize",id:Ls,is_intermediate:!0,width:T,height:E},V.nodes[er]={type:"img_resize",id:er,is_intermediate:!0,width:T,height:E},V.nodes[Se]={...V.nodes[Se],width:B,height:A},V.edges.push({source:{node_id:ko,field:"image"},destination:{node_id:Nn,field:"image"}},{source:{node_id:Ds,field:"image"},destination:{node_id:Ni,field:"image"}},{source:{node_id:Ni,field:"image"},destination:{node_id:ut,field:"image"}},{source:{node_id:it,field:"image"},destination:{node_id:ti,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:er,field:"image"}},{source:{node_id:Nn,field:"image"},destination:{node_id:Ls,field:"image"}},{source:{node_id:Ls,field:"image"},destination:{node_id:wt,field:"reference"}},{source:{node_id:ti,field:"image"},destination:{node_id:wt,field:"image"}},{source:{node_id:er,field:"image"},destination:{node_id:wt,field:"mask"}},{source:{node_id:Ls,field:"image"},destination:{node_id:Ie,field:"base_image"}},{source:{node_id:wt,field:"image"},destination:{node_id:Ie,field:"image"}},{source:{node_id:er,field:"image"},destination:{node_id:Ie,field:"mask"}})}else V.nodes[Nn]={...V.nodes[Nn],image:t},V.nodes[Se]={...V.nodes[Se],width:T,height:E},V.nodes[hn]={...V.nodes[hn],image:t},V.nodes[ut]={...V.nodes[ut],image:n},V.edges.push({source:{node_id:Ds,field:"image"},destination:{node_id:ut,field:"image"}},{source:{node_id:Nn,field:"image"},destination:{node_id:wt,field:"reference"}},{source:{node_id:it,field:"image"},destination:{node_id:wt,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:wt,field:"mask"}},{source:{node_id:Nn,field:"image"},destination:{node_id:Ie,field:"base_image"}},{source:{node_id:wt,field:"image"},destination:{node_id:Ie,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:Ie,field:"mask"}});if(g){const B={id:dr,type:"rand_int"};V.nodes[dr]=B,V.edges.push({source:{node_id:dr,field:"a"},destination:{node_id:bn,field:"start"}})}else V.nodes[bn].start=h;return Uo(e,V,an),sh(e,V,Le,an),Fo(e,V,Le),e.system.shouldUseNSFWChecker&&Bo(e,V,Ie),e.system.shouldUseWatermarker&&zo(e,V,Ie),V},ah=(e,t,n,r=We)=>{const{loras:i}=e.lora,o=DT(i),s=t.nodes[yt];o>0&&(t.edges=t.edges.filter(u=>!(u.source.node_id===r&&["unet"].includes(u.source.field))&&!(u.source.node_id===r&&["clip"].includes(u.source.field))&&!(u.source.node_id===r&&["clip2"].includes(u.source.field))));let a="",l=0;gc(i,u=>{const{model_name:d,base_model:f,weight:h}=u,g=`${az}_${d.replace(".","_")}`,m={type:"sdxl_lora_loader",id:g,is_intermediate:!0,lora:{model_name:d,base_model:f},weight:h};s&&s.loras.push({lora:{model_name:d,base_model:f},weight:h}),t.nodes[g]=m,l===0?(t.edges.push({source:{node_id:r,field:"unet"},destination:{node_id:g,field:"unet"}}),t.edges.push({source:{node_id:r,field:"clip"},destination:{node_id:g,field:"clip"}}),t.edges.push({source:{node_id:r,field:"clip2"},destination:{node_id:g,field:"clip2"}})):(t.edges.push({source:{node_id:a,field:"unet"},destination:{node_id:g,field:"unet"}}),t.edges.push({source:{node_id:a,field:"clip"},destination:{node_id:g,field:"clip"}}),t.edges.push({source:{node_id:a,field:"clip2"},destination:{node_id:g,field:"clip2"}})),l===o-1&&(t.edges.push({source:{node_id:g,field:"unet"},destination:{node_id:n,field:"unet"}}),t.edges.push({source:{node_id:g,field:"clip"},destination:{node_id:$e,field:"clip"}}),t.edges.push({source:{node_id:g,field:"clip"},destination:{node_id:Be,field:"clip"}}),t.edges.push({source:{node_id:g,field:"clip2"},destination:{node_id:$e,field:"clip2"}}),t.edges.push({source:{node_id:g,field:"clip2"},destination:{node_id:Be,field:"clip2"}})),a=g,l+=1})},Uc=(e,t)=>{const{positivePrompt:n,negativePrompt:r}=e.generation,{positiveStylePrompt:i,negativeStylePrompt:o}=e.sdxl;let s=i,a=o;return t&&(i.length>0?s=`${n} ${i}`:s=n,o.length>0?a=`${r} ${o}`:a=r),{craftedPositiveStylePrompt:s,craftedNegativeStylePrompt:a}},lh=(e,t,n)=>{const{refinerModel:r,refinerPositiveAestheticScore:i,refinerNegativeAestheticScore:o,refinerSteps:s,refinerScheduler:a,refinerCFGScale:l,refinerStart:u}=e.sdxl;if(!r)return;const d=t.nodes[yt];d&&(d.refiner_model=r,d.refiner_positive_aesthetic_score=i,d.refiner_negative_aesthetic_score=o,d.refiner_cfg_scale=l,d.refiner_scheduler=a,d.refiner_start=u,d.refiner_steps=s);const{craftedPositiveStylePrompt:f,craftedNegativeStylePrompt:h}=Uc(e,!0);t.edges=t.edges.filter(g=>!(g.source.node_id===n&&["latents"].includes(g.source.field))),t.edges=t.edges.filter(g=>!(g.source.node_id===We&&["vae"].includes(g.source.field))),t.nodes[fp]={type:"sdxl_refiner_model_loader",id:fp,model:r},t.nodes[G0]={type:"sdxl_refiner_compel_prompt",id:G0,style:f,aesthetic_score:i},t.nodes[H0]={type:"sdxl_refiner_compel_prompt",id:H0,style:h,aesthetic_score:o},t.nodes[va]={type:"denoise_latents",id:va,cfg_scale:l,steps:s,scheduler:a,denoising_start:u,denoising_end:1},t.edges.push({source:{node_id:fp,field:"unet"},destination:{node_id:va,field:"unet"}},{source:{node_id:fp,field:"clip2"},destination:{node_id:G0,field:"clip2"}},{source:{node_id:fp,field:"clip2"},destination:{node_id:H0,field:"clip2"}},{source:{node_id:G0,field:"conditioning"},destination:{node_id:va,field:"positive_conditioning"}},{source:{node_id:H0,field:"conditioning"},destination:{node_id:va,field:"negative_conditioning"}},{source:{node_id:n,field:"latents"},destination:{node_id:va,field:"latents"}}),t.id===IE||t.id===d_?t.edges.push({source:{node_id:va,field:"latents"},destination:{node_id:Ie,field:"latents"}}):t.edges.push({source:{node_id:va,field:"latents"},destination:{node_id:it,field:"latents"}}),(t.id===ME||t.id===NE)&&t.edges.push({source:{node_id:ut,field:"image"},destination:{node_id:va,field:"mask"}})},FCe=(e,t)=>{const n=ke("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:s,scheduler:a,steps:l,vaePrecision:u,clipSkip:d,shouldUseCpuNoise:f,shouldUseNoiseSettings:h}=e.generation,{shouldUseSDXLRefiner:g,refinerStart:m,sdxlImg2ImgDenoisingStrength:v,shouldConcatSDXLStylePrompt:x}=e.sdxl,{width:_,height:b}=e.canvas.boundingBoxDimensions,{shouldAutoSave:y}=e.canvas;if(!o)throw n.error("No model found in state"),new Error("No model found in state");const S=h?f:ys.shouldUseCpuNoise,{craftedPositiveStylePrompt:C,craftedNegativeStylePrompt:T}=Uc(e,x),E={id:d_,nodes:{[We]:{type:"sdxl_model_loader",id:We,model:o},[$e]:{type:"sdxl_compel_prompt",id:$e,prompt:r,style:C},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:i,style:T},[Se]:{type:"noise",id:Se,is_intermediate:!0,use_cpu:S},[Vt]:{type:"i2l",id:Vt,is_intermediate:!0,fp32:u==="fp32"},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,cfg_scale:s,scheduler:a,steps:l,denoising_start:g?Math.min(m,1-v):1-v,denoising_end:g?m:1},[Ie]:{type:"l2i",id:Ie,is_intermediate:!y,fp32:u==="fp32"}},edges:[{source:{node_id:We,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:We,field:"clip"},destination:{node_id:$e,field:"clip"}},{source:{node_id:We,field:"clip2"},destination:{node_id:$e,field:"clip2"}},{source:{node_id:We,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:We,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:$e,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:Se,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Vt,field:"latents"},destination:{node_id:Re,field:"latents"}},{source:{node_id:Re,field:"latents"},destination:{node_id:Ie,field:"latents"}}]};if(t.width!==_||t.height!==b){const P={id:Jn,type:"img_resize",image:{image_name:t.image_name},is_intermediate:!0,width:_,height:b};E.nodes[Jn]=P,E.edges.push({source:{node_id:Jn,field:"image"},destination:{node_id:Vt,field:"image"}}),E.edges.push({source:{node_id:Jn,field:"width"},destination:{node_id:Se,field:"width"}}),E.edges.push({source:{node_id:Jn,field:"height"},destination:{node_id:Se,field:"height"}})}else E.nodes[Vt].image={image_name:t.image_name},E.edges.push({source:{node_id:Vt,field:"width"},destination:{node_id:Se,field:"width"}}),E.edges.push({source:{node_id:Vt,field:"height"},destination:{node_id:Se,field:"height"}});return E.nodes[yt]={id:yt,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:s,height:b,width:_,positive_prompt:"",negative_prompt:i,model:o,seed:0,steps:l,rand_device:S?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],clip_skip:d,strength:v,init_image:t.image_name},E.edges.push({source:{node_id:yt,field:"metadata"},destination:{node_id:Ie,field:"metadata"}}),ah(e,E,Re,We),g&&lh(e,E,Re),Uo(e,E,We),wu(e,E),Fo(e,E,Re),e.system.shouldUseNSFWChecker&&Bo(e,E,Ie),e.system.shouldUseWatermarker&&zo(e,E,Ie),E},BCe=(e,t,n)=>{const r=ke("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:g,shouldUseNoiseSettings:m,shouldUseCpuNoise:v,maskBlur:x,maskBlurMethod:_}=e.generation,{sdxlImg2ImgDenoisingStrength:b,shouldUseSDXLRefiner:y,refinerStart:S,shouldConcatSDXLStylePrompt:C}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in state");const{width:T,height:E}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:P,boundingBoxScaleMethod:k,shouldAutoSave:O}=e.canvas,M=v,{craftedPositiveStylePrompt:V,craftedNegativeStylePrompt:B}=Uc(e,C),A={id:ME,nodes:{[We]:{type:"sdxl_model_loader",id:We,model:s},[$e]:{type:"sdxl_compel_prompt",id:$e,prompt:i,style:V},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:o,style:B},[ut]:{type:"img_blur",id:ut,is_intermediate:!0,radius:x,blur_type:_},[hn]:{type:"i2l",id:hn,is_intermediate:!0,fp32:g==="fp32"},[Se]:{type:"noise",id:Se,use_cpu:M,is_intermediate:!0},[Re]:{type:"denoise_latents",id:Re,is_intermediate:!0,steps:u,cfg_scale:a,scheduler:l,denoising_start:y?Math.min(S,1-b):1-b,denoising_end:y?S:1},[it]:{type:"l2i",id:it,is_intermediate:!0,fp32:g==="fp32"},[wt]:{type:"color_correct",id:wt,is_intermediate:!0,reference:t},[Ie]:{type:"img_paste",id:Ie,is_intermediate:!O,base_image:t},[bn]:{type:"range_of_size",id:bn,is_intermediate:!0,size:d,step:1},[sn]:{type:"iterate",id:sn,is_intermediate:!0}},edges:[{source:{node_id:We,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:We,field:"clip"},destination:{node_id:$e,field:"clip"}},{source:{node_id:We,field:"clip2"},destination:{node_id:$e,field:"clip2"}},{source:{node_id:We,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:We,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:$e,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:Se,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:hn,field:"latents"},destination:{node_id:Re,field:"latents"}},{source:{node_id:ut,field:"image"},destination:{node_id:Re,field:"mask"}},{source:{node_id:bn,field:"collection"},destination:{node_id:sn,field:"collection"}},{source:{node_id:sn,field:"item"},destination:{node_id:Se,field:"seed"}},{source:{node_id:Re,field:"latents"},destination:{node_id:it,field:"latents"}}]};if(["auto","manual"].includes(k)){const N=P.width,D=P.height;A.nodes[ko]={type:"img_resize",id:ko,is_intermediate:!0,width:N,height:D,image:t},A.nodes[Ni]={type:"img_resize",id:Ni,is_intermediate:!0,width:N,height:D,image:n},A.nodes[ti]={type:"img_resize",id:ti,is_intermediate:!0,width:T,height:E},A.nodes[er]={type:"img_resize",id:er,is_intermediate:!0,width:T,height:E},A.nodes[Se]={...A.nodes[Se],width:N,height:D},A.edges.push({source:{node_id:ko,field:"image"},destination:{node_id:hn,field:"image"}},{source:{node_id:Ni,field:"image"},destination:{node_id:ut,field:"image"}},{source:{node_id:it,field:"image"},destination:{node_id:ti,field:"image"}},{source:{node_id:ti,field:"image"},destination:{node_id:wt,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:er,field:"image"}},{source:{node_id:er,field:"image"},destination:{node_id:wt,field:"mask"}},{source:{node_id:wt,field:"image"},destination:{node_id:Ie,field:"image"}},{source:{node_id:er,field:"image"},destination:{node_id:Ie,field:"mask"}})}else A.nodes[Se]={...A.nodes[Se],width:T,height:E},A.nodes[hn]={...A.nodes[hn],image:t},A.nodes[ut]={...A.nodes[ut],image:n},A.edges.push({source:{node_id:it,field:"image"},destination:{node_id:wt,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:wt,field:"mask"}},{source:{node_id:wt,field:"image"},destination:{node_id:Ie,field:"image"}},{source:{node_id:ut,field:"image"},destination:{node_id:Ie,field:"mask"}});if(h){const N={id:dr,type:"rand_int"};A.nodes[dr]=N,A.edges.push({source:{node_id:dr,field:"a"},destination:{node_id:bn,field:"start"}})}else A.nodes[bn].start=f;return y&&lh(e,A,Re),Uo(e,A,We),ah(e,A,Re,We),Fo(e,A,Re),e.system.shouldUseNSFWChecker&&Bo(e,A,Ie),e.system.shouldUseWatermarker&&zo(e,A,Ie),A},UCe=(e,t,n)=>{const r=ke("nodes"),{positivePrompt:i,negativePrompt:o,model:s,cfgScale:a,scheduler:l,steps:u,iterations:d,seed:f,shouldRandomizeSeed:h,vaePrecision:g,shouldUseNoiseSettings:m,shouldUseCpuNoise:v,maskBlur:x,maskBlurMethod:_,tileSize:b,infillMethod:y}=e.generation,{sdxlImg2ImgDenoisingStrength:S,shouldUseSDXLRefiner:C,refinerStart:T,shouldConcatSDXLStylePrompt:E}=e.sdxl;if(!s)throw r.error("No model found in state"),new Error("No model found in 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b=f?d:ys.shouldUseCpuNoise,y=i.model_type==="onnx",S=y?mS:We,C=y?"onnx_model_loader":"sdxl_model_loader",T=y?{type:"t2l_onnx",id:Re,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a}:{type:"denoise_latents",id:Re,is_intermediate:!0,cfg_scale:o,scheduler:s,steps:a,denoising_start:0,denoising_end:v?x:1},{craftedPositiveStylePrompt:E,craftedNegativeStylePrompt:P}=Uc(e,_),k={id:IE,nodes:{[S]:{type:C,id:S,is_intermediate:!0,model:i},[$e]:{type:y?"prompt_onnx":"sdxl_compel_prompt",id:$e,is_intermediate:!0,prompt:n,style:E},[Be]:{type:y?"prompt_onnx":"sdxl_compel_prompt",id:Be,is_intermediate:!0,prompt:r,style:P},[Se]:{type:"noise",id:Se,is_intermediate:!0,width:h,height:g,use_cpu:b},[T.id]:T,[Ie]:{type:y?"l2i_onnx":"l2i",id:Ie,is_intermediate:!m,fp32:l==="fp32"}},edges:[{source:{node_id:S,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:S,field:"clip"},destination:{node_id:$e,field:"clip"}},{source:{node_id:S,field:"clip2"},destination:{node_id:$e,field:"clip2"}},{source:{node_id:S,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:S,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:$e,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:Se,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Re,field:"latents"},destination:{node_id:Ie,field:"latents"}}]};return k.nodes[yt]={id:yt,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,height:g,width:h,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:b?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:u},k.edges.push({source:{node_id:yt,field:"metadata"},destination:{node_id:Ie,field:"metadata"}}),v&&lh(e,k,Re),ah(e,k,Re,S),Uo(e,k,S),wu(e,k),Fo(e,k,Re),e.system.shouldUseNSFWChecker&&Bo(e,k,Ie),e.system.shouldUseWatermarker&&zo(e,k,Ie),k},VCe=e=>{const t=ke("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:s,steps:a,clipSkip:l,shouldUseCpuNoise:u,shouldUseNoiseSettings:d}=e.generation,{width:f,height:h}=e.canvas.boundingBoxDimensions,{shouldAutoSave:g}=e.canvas;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const 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y.nodes[yt]={id:yt,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,height:h,width:f,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:m?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],clip_skip:l},y.edges.push({source:{node_id:yt,field:"metadata"},destination:{node_id:Ie,field:"metadata"}}),Uo(e,y,x),sh(e,y,Le,x),wu(e,y),Fo(e,y,Le),e.system.shouldUseNSFWChecker&&Bo(e,y,Ie),e.system.shouldUseWatermarker&&zo(e,y,Ie),y},jCe=(e,t,n,r)=>{let i;if(t==="txt2img")e.generation.model&&e.generation.model.base_model==="sdxl"?i=zCe(e):i=VCe(e);else if(t==="img2img"){if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=FCe(e,n):i=LCe(e,n)}else if(t==="inpaint"){if(!n||!r)throw new Error("Missing canvas init and mask images");e.generation.model&&e.generation.model.base_model==="sdxl"?i=BCe(e,n,r):i=DCe(e,n,r)}else{if(!n)throw new Error("Missing canvas init 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y={id:Jn,type:"img_resize",image:{image_name:l.imageName},is_intermediate:!0,width:f,height:h};b.nodes[Jn]=y,b.edges.push({source:{node_id:Jn,field:"image"},destination:{node_id:Vt,field:"image"}}),b.edges.push({source:{node_id:Jn,field:"width"},destination:{node_id:Se,field:"width"}}),b.edges.push({source:{node_id:Jn,field:"height"},destination:{node_id:Se,field:"height"}})}else b.nodes[Vt].image={image_name:l.imageName},b.edges.push({source:{node_id:Vt,field:"width"},destination:{node_id:Se,field:"width"}}),b.edges.push({source:{node_id:Vt,field:"height"},destination:{node_id:Se,field:"height"}});return b.nodes[yt]={id:yt,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:o,height:h,width:f,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:_?"cpu":"cuda",scheduler:s,vae:void 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T=m?g:ys.shouldUseCpuNoise,{craftedPositiveStylePrompt:E,craftedNegativeStylePrompt:P}=Uc(e,b),k={id:b5,nodes:{[We]:{type:"sdxl_model_loader",id:We,model:i},[$e]:{type:"sdxl_compel_prompt",id:$e,prompt:n,style:E},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:r,style:P},[Se]:{type:"noise",id:Se,use_cpu:T},[it]:{type:"l2i",id:it,fp32:v==="fp32"},[Re]:{type:"denoise_latents",id:Re,cfg_scale:o,scheduler:s,steps:a,denoising_start:y?Math.min(S,1-C):1-C,denoising_end:y?S:1},[Vt]:{type:"i2l",id:Vt,fp32:v==="fp32"}},edges:[{source:{node_id:We,field:"unet"},destination:{node_id:Re,field:"unet"}},{source:{node_id:We,field:"clip"},destination:{node_id:$e,field:"clip"}},{source:{node_id:We,field:"clip2"},destination:{node_id:$e,field:"clip2"}},{source:{node_id:We,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:We,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:$e,field:"conditioning"},destination:{node_id:Re,field:"positive_conditioning"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Re,field:"negative_conditioning"}},{source:{node_id:Se,field:"noise"},destination:{node_id:Re,field:"noise"}},{source:{node_id:Vt,field:"latents"},destination:{node_id:Re,field:"latents"}},{source:{node_id:Re,field:"latents"},destination:{node_id:it,field:"latents"}}]};if(u&&(l.width!==d||l.height!==f)){const O={id:Jn,type:"img_resize",image:{image_name:l.imageName},is_intermediate:!0,width:d,height:f};k.nodes[Jn]=O,k.edges.push({source:{node_id:Jn,field:"image"},destination:{node_id:Vt,field:"image"}}),k.edges.push({source:{node_id:Jn,field:"width"},destination:{node_id:Se,field:"width"}}),k.edges.push({source:{node_id:Jn,field:"height"},destination:{node_id:Se,field:"height"}})}else k.nodes[Vt].image={image_name:l.imageName},k.edges.push({source:{node_id:Vt,field:"width"},destination:{node_id:Se,field:"width"}}),k.edges.push({source:{node_id:Vt,field:"height"},destination:{node_id:Se,field:"height"}});return k.nodes[yt]={id:yt,type:"metadata_accumulator",generation_mode:"sdxl_img2img",cfg_scale:o,height:f,width:d,positive_prompt:"",negative_prompt:r,model:i,seed:0,steps:a,rand_device:T?"cpu":"cuda",scheduler:s,vae:void 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this.opts.extraHeaders)this.opts.extraHeaders.hasOwnProperty(i)&&r.setRequestHeader(i,this.opts.extraHeaders[i])}}catch{}if(this.method==="POST")try{r.setRequestHeader("Content-type","text/plain;charset=UTF-8")}catch{}try{r.setRequestHeader("Accept","*/*")}catch{}(t=this.opts.cookieJar)===null||t===void 0||t.addCookies(r),"withCredentials"in r&&(r.withCredentials=this.opts.withCredentials),this.opts.requestTimeout&&(r.timeout=this.opts.requestTimeout),r.onreadystatechange=()=>{var i;r.readyState===3&&((i=this.opts.cookieJar)===null||i===void 0||i.parseCookies(r)),r.readyState===4&&(r.status===200||r.status===1223?this.onLoad():this.setTimeoutFn(()=>{this.onError(typeof r.status=="number"?r.status:0)},0))},r.send(this.data)}catch(i){this.setTimeoutFn(()=>{this.onError(i)},0);return}typeof document<"u"&&(this.index=Lv.requestsCount++,Lv.requests[this.index]=this)}onError(t){this.emitReserved("error",t,this.xhr),this.cleanup(!0)}cleanup(t){if(!(typeof this.xhr>"u"||this.xhr===null)){if(this.xhr.onreadystatechange=O3e,t)try{this.xhr.abort()}catch{}typeof document<"u"&&delete Lv.requests[this.index],this.xhr=null}}onLoad(){const t=this.xhr.responseText;t!==null&&(this.emitReserved("data",t),this.emitReserved("success"),this.cleanup())}abort(){this.cleanup()}};bf.requestsCount=0;bf.requests={};if(typeof document<"u"){if(typeof attachEvent=="function")attachEvent("onunload",Wk);else if(typeof addEventListener=="function"){const e="onpagehide"in Ao?"pagehide":"unload";addEventListener(e,Wk,!1)}}function Wk(){for(let e in bf.requests)bf.requests.hasOwnProperty(e)&&bf.requests[e].abort()}const JE=(()=>typeof Promise=="function"&&typeof Promise.resolve=="function"?t=>Promise.resolve().then(t):(t,n)=>n(t,0))(),ev=Ao.WebSocket||Ao.MozWebSocket,qk=!0,M3e="arraybuffer",Kk=typeof navigator<"u"&&typeof navigator.product=="string"&&navigator.product.toLowerCase()==="reactnative";class N3e extends ZE{constructor(t){super(t),this.supportsBinary=!t.forceBase64}get name(){return"websocket"}doOpen(){if(!this.check())return;const t=this.uri(),n=this.opts.protocols,r=Kk?{}:nV(this.opts,"agent","perMessageDeflate","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","localAddress","protocolVersion","origin","maxPayload","family","checkServerIdentity");this.opts.extraHeaders&&(r.headers=this.opts.extraHeaders);try{this.ws=qk&&!Kk?n?new ev(t,n):new ev(t):new ev(t,n,r)}catch(i){return this.emitReserved("error",i)}this.ws.binaryType=this.socket.binaryType||M3e,this.addEventListeners()}addEventListeners(){this.ws.onopen=()=>{this.opts.autoUnref&&this.ws._socket.unref(),this.onOpen()},this.ws.onclose=t=>this.onClose({description:"websocket connection closed",context:t}),this.ws.onmessage=t=>this.onData(t.data),this.ws.onerror=t=>this.onError("websocket error",t)}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;YE(r,this.supportsBinary,o=>{const s={};try{qk&&this.ws.send(o)}catch{}i&&JE(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){typeof this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){const t=this.opts.secure?"wss":"ws",n=this.query||{};return this.opts.timestampRequests&&(n[this.opts.timestampParam]=iV()),this.supportsBinary||(n.b64=1),this.createUri(t,n)}check(){return!!ev}}function L3e(e,t){return e.type==="message"&&typeof e.data!="string"&&t[0]>=48&&t[0]<=54}class D3e extends ZE{get name(){return"webtransport"}doOpen(){typeof WebTransport=="function"&&(this.transport=new WebTransport(this.createUri("https"),this.opts.transportOptions[this.name]),this.transport.closed.then(()=>{this.onClose()}).catch(t=>{this.onError("webtransport error",t)}),this.transport.ready.then(()=>{this.transport.createBidirectionalStream().then(t=>{const n=t.readable.getReader();this.writer=t.writable.getWriter();let r;const i=()=>{n.read().then(({done:s,value:a})=>{s||(!r&&a.byteLength===1&&a[0]===54?r=!0:(this.onPacket(v3e(a,r,"arraybuffer")),r=!1),i())}).catch(s=>{})};i();const o=this.query.sid?`0{"sid":"${this.query.sid}"}`:"0";this.writer.write(new TextEncoder().encode(o)).then(()=>this.onOpen())})}))}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;f3e(r,o=>{L3e(r,o)&&this.writer.write(Uint8Array.of(54)),this.writer.write(o).then(()=>{i&&JE(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})})}}doClose(){var t;(t=this.transport)===null||t===void 0||t.close()}}const $3e={websocket:N3e,webtransport:D3e,polling:I3e},F3e=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,B3e=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function O5(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=F3e.exec(e||""),o={},s=14;for(;s--;)o[B3e[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=U3e(o,o.path),o.queryKey=z3e(o,o.query),o}function U3e(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function z3e(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let aV=class Md extends nr{constructor(t,n={}){super(),this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=O5(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=O5(n.host).host),u2(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=E3e(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=tV,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new $3e[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Md.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;Md.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",f=>{if(!r)if(f.type==="pong"&&f.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;Md.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(d(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const h=new Error("probe error");h.transport=n.name,this.emitReserved("upgradeError",h)}}))};function o(){r||(r=!0,d(),n.close(),n=null)}const s=f=>{const h=new Error("probe error: "+f);h.transport=n.name,o(),this.emitReserved("upgradeError",h)};function a(){s("transport closed")}function l(){s("socket closed")}function u(f){n&&f.name!==n.name&&o()}const d=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",Md.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=x3e(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){Md.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};aV.protocol=tV;function V3e(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=O5(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const j3e=typeof ArrayBuffer=="function",G3e=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,lV=Object.prototype.toString,H3e=typeof Blob=="function"||typeof Blob<"u"&&lV.call(Blob)==="[object BlobConstructor]",W3e=typeof File=="function"||typeof File<"u"&&lV.call(File)==="[object FileConstructor]";function eA(e){return j3e&&(e instanceof ArrayBuffer||G3e(e))||H3e&&e instanceof Blob||W3e&&e instanceof File}function Dv(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(Dv(e[n]))return!0;return!1}if(eA(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return Dv(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&Dv(e[n]))return!0;return!1}function q3e(e){const t=[],n=e.data,r=e;return r.data=k5(n,t),r.attachments=t.length,{packet:r,buffers:t}}function k5(e,t){if(!e)return e;if(eA(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=k5(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=k5(e[r],t));return n}return e}function K3e(e,t){return e.data=I5(e.data,t),delete e.attachments,e}function I5(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=I5(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=I5(e[n],t));return e}const X3e=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],Y3e=5;var Tt;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(Tt||(Tt={}));class Q3e{constructor(t){this.replacer=t}encode(t){return(t.type===Tt.EVENT||t.type===Tt.ACK)&&Dv(t)?this.encodeAsBinary({type:t.type===Tt.EVENT?Tt.BINARY_EVENT:Tt.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===Tt.BINARY_EVENT||t.type===Tt.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=q3e(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function Xk(e){return Object.prototype.toString.call(e)==="[object Object]"}class tA extends nr{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===Tt.BINARY_EVENT;r||n.type===Tt.BINARY_ACK?(n.type=r?Tt.EVENT:Tt.ACK,this.reconstructor=new Z3e(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(eA(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(Tt[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===Tt.BINARY_EVENT||r.type===Tt.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(tA.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case Tt.CONNECT:return Xk(n);case Tt.DISCONNECT:return n===void 0;case Tt.CONNECT_ERROR:return typeof n=="string"||Xk(n);case Tt.EVENT:case Tt.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&X3e.indexOf(n[0])===-1);case Tt.ACK:case Tt.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class Z3e{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=K3e(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const J3e=Object.freeze(Object.defineProperty({__proto__:null,Decoder:tA,Encoder:Q3e,get PacketType(){return Tt},protocol:Y3e},Symbol.toStringTag,{value:"Module"}));function ts(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const e5e=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class uV extends nr{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[ts(t,"open",this.onopen.bind(this)),ts(t,"packet",this.onpacket.bind(this)),ts(t,"error",this.onerror.bind(this)),ts(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(e5e.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:Tt.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:Tt.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case Tt.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case Tt.EVENT:case Tt.BINARY_EVENT:this.onevent(t);break;case Tt.ACK:case Tt.BINARY_ACK:this.onack(t);break;case Tt.DISCONNECT:this.ondisconnect();break;case Tt.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:Tt.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:Tt.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const n=this._anyOutgoingListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const n=this._anyOutgoingListeners.slice();for(const r of n)r.apply(this,t.data)}}}function uh(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}uh.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),n=Math.floor(t*this.jitter*e);e=Math.floor(t*10)&1?e+n:e-n}return Math.min(e,this.max)|0};uh.prototype.reset=function(){this.attempts=0};uh.prototype.setMin=function(e){this.ms=e};uh.prototype.setMax=function(e){this.max=e};uh.prototype.setJitter=function(e){this.jitter=e};class M5 extends nr{constructor(t,n){var r;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(n=t,t=void 0),n=n||{},n.path=n.path||"/socket.io",this.opts=n,u2(this,n),this.reconnection(n.reconnection!==!1),this.reconnectionAttempts(n.reconnectionAttempts||1/0),this.reconnectionDelay(n.reconnectionDelay||1e3),this.reconnectionDelayMax(n.reconnectionDelayMax||5e3),this.randomizationFactor((r=n.randomizationFactor)!==null&&r!==void 0?r:.5),this.backoff=new uh({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(n.timeout==null?2e4:n.timeout),this._readyState="closed",this.uri=t;const i=n.parser||J3e;this.encoder=new i.Encoder,this.decoder=new i.Decoder,this._autoConnect=n.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var n;return t===void 0?this._reconnectionDelay:(this._reconnectionDelay=t,(n=this.backoff)===null||n===void 0||n.setMin(t),this)}randomizationFactor(t){var n;return t===void 0?this._randomizationFactor:(this._randomizationFactor=t,(n=this.backoff)===null||n===void 0||n.setJitter(t),this)}reconnectionDelayMax(t){var n;return t===void 0?this._reconnectionDelayMax:(this._reconnectionDelayMax=t,(n=this.backoff)===null||n===void 0||n.setMax(t),this)}timeout(t){return arguments.length?(this._timeout=t,this):this._timeout}maybeReconnectOnOpen(){!this._reconnecting&&this._reconnection&&this.backoff.attempts===0&&this.reconnect()}open(t){if(~this._readyState.indexOf("open"))return this;this.engine=new aV(this.uri,this.opts);const n=this.engine,r=this;this._readyState="opening",this.skipReconnect=!1;const i=ts(n,"open",function(){r.onopen(),t&&t()}),o=a=>{this.cleanup(),this._readyState="closed",this.emitReserved("error",a),t?t(a):this.maybeReconnectOnOpen()},s=ts(n,"error",o);if(this._timeout!==!1){const a=this._timeout,l=this.setTimeoutFn(()=>{i(),o(new Error("timeout")),n.close()},a);this.opts.autoUnref&&l.unref(),this.subs.push(()=>{this.clearTimeoutFn(l)})}return this.subs.push(i),this.subs.push(s),this}connect(t){return this.open(t)}onopen(){this.cleanup(),this._readyState="open",this.emitReserved("open");const t=this.engine;this.subs.push(ts(t,"ping",this.onping.bind(this)),ts(t,"data",this.ondata.bind(this)),ts(t,"error",this.onerror.bind(this)),ts(t,"close",this.onclose.bind(this)),ts(this.decoder,"decoded",this.ondecoded.bind(this)))}onping(){this.emitReserved("ping")}ondata(t){try{this.decoder.add(t)}catch(n){this.onclose("parse error",n)}}ondecoded(t){JE(()=>{this.emitReserved("packet",t)},this.setTimeoutFn)}onerror(t){this.emitReserved("error",t)}socket(t,n){let r=this.nsps[t];return r?this._autoConnect&&!r.active&&r.connect():(r=new uV(this,t,n),this.nsps[t]=r),r}_destroy(t){const n=Object.keys(this.nsps);for(const r of n)if(this.nsps[r].active)return;this._close()}_packet(t){const n=this.encoder.encode(t);for(let r=0;r<n.length;r++)this.engine.write(n[r],t.options)}cleanup(){this.subs.forEach(t=>t()),this.subs.length=0,this.decoder.destroy()}_close(){this.skipReconnect=!0,this._reconnecting=!1,this.onclose("forced close"),this.engine&&this.engine.close()}disconnect(){return this._close()}onclose(t,n){this.cleanup(),this.backoff.reset(),this._readyState="closed",this.emitReserved("close",t,n),this._reconnection&&!this.skipReconnect&&this.reconnect()}reconnect(){if(this._reconnecting||this.skipReconnect)return this;const t=this;if(this.backoff.attempts>=this._reconnectionAttempts)this.backoff.reset(),this.emitReserved("reconnect_failed"),this._reconnecting=!1;else{const n=this.backoff.duration();this._reconnecting=!0;const r=this.setTimeoutFn(()=>{t.skipReconnect||(this.emitReserved("reconnect_attempt",t.backoff.attempts),!t.skipReconnect&&t.open(i=>{i?(t._reconnecting=!1,t.reconnect(),this.emitReserved("reconnect_error",i)):t.onreconnect()}))},n);this.opts.autoUnref&&r.unref(),this.subs.push(()=>{this.clearTimeoutFn(r)})}}onreconnect(){const t=this.backoff.attempts;this._reconnecting=!1,this.backoff.reset(),this.emitReserved("reconnect",t)}}const yp={};function $v(e,t){typeof e=="object"&&(t=e,e=void 0),t=t||{};const n=V3e(e,t.path||"/socket.io"),r=n.source,i=n.id,o=n.path,s=yp[i]&&o in yp[i].nsps,a=t.forceNew||t["force new connection"]||t.multiplex===!1||s;let l;return a?l=new M5(r,t):(yp[i]||(yp[i]=new M5(r,t)),l=yp[i]),n.query&&!t.query&&(t.query=n.queryKey),l.socket(n.path,t)}Object.assign($v,{Manager:M5,Socket:uV,io:$v,connect:$v});const Yk=()=>{let e=!1,n=`${window.location.protocol==="https:"?"wss":"ws"}://${window.location.host}`;const 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M6e{constructor(t){this.openGlobalLock=null,this.isDragging=!1,this.currentDirection=null,this.originPoint={x:0,y:0},this.constraints=!1,this.hasMutatedConstraints=!1,this.elastic=Xn(),this.visualElement=t}start(t,{snapToCursor:n=!1}={}){const{presenceContext:r}=this.visualElement;if(r&&r.isPresent===!1)return;const i=l=>{this.stopAnimation(),n&&this.snapToCursor(b2(l,"page").point)},o=(l,u)=>{const{drag:d,dragPropagation:f,onDragStart:h}=this.getProps();if(d&&!f&&(this.openGlobalLock&&this.openGlobalLock(),this.openGlobalLock=ij(d),!this.openGlobalLock))return;this.isDragging=!0,this.currentDirection=null,this.resolveConstraints(),this.visualElement.projection&&(this.visualElement.projection.isAnimationBlocked=!0,this.visualElement.projection.target=void 0),Ps(m=>{let v=this.getAxisMotionValue(m).get()||0;if(qs.test(v)){const{projection:x}=this.visualElement;if(x&&x.layout){const 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r=this.isDragging;if(this.cancel(),!r)return;const{velocity:i}=n;this.startAnimation(i);const{onDragEnd:o}=this.getProps();o&&Sn.update(()=>o(t,n))}cancel(){this.isDragging=!1;const{projection:t,animationState:n}=this.visualElement;t&&(t.isAnimationBlocked=!1),this.panSession&&this.panSession.end(),this.panSession=void 0;const{dragPropagation:r}=this.getProps();!r&&this.openGlobalLock&&(this.openGlobalLock(),this.openGlobalLock=null),n&&n.setActive("whileDrag",!1)}updateAxis(t,n,r){const{drag:i}=this.getProps();if(!r||!sv(t,i,this.currentDirection))return;const o=this.getAxisMotionValue(t);let s=this.originPoint[t]+r[t];this.constraints&&this.constraints[t]&&(s=b6e(s,this.constraints[t],this.elastic[t])),o.set(s)}resolveConstraints(){const{dragConstraints:t,dragElastic:n}=this.getProps(),{layout:r}=this.visualElement.projection||{},i=this.constraints;t&&Xd(t)?this.constraints||(this.constraints=this.resolveRefConstraints()):t&&r?this.constraints=S6e(r.layoutBox,t):this.constraints=!1,this.elastic=T6e(n),i!==this.constraints&&r&&this.constraints&&!this.hasMutatedConstraints&&Ps(o=>{this.getAxisMotionValue(o)&&(this.constraints[o]=C6e(r.layoutBox[o],this.constraints[o]))})}resolveRefConstraints(){const{dragConstraints:t,onMeasureDragConstraints:n}=this.getProps();if(!t||!Xd(t))return!1;const r=t.current,{projection:i}=this.visualElement;if(!i||!i.layout)return!1;const o=k6e(r,i.root,this.visualElement.getTransformPagePoint());let s=w6e(i.layout.layoutBox,o);if(n){const a=n(E6e(s));this.hasMutatedConstraints=!!a,a&&(s=Vj(a))}return s}startAnimation(t){const{drag:n,dragMomentum:r,dragElastic:i,dragTransition:o,dragSnapToOrigin:s,onDragTransitionEnd:a}=this.getProps(),l=this.constraints||{},u=Ps(d=>{if(!sv(d,n,this.currentDirection))return;let f=l&&l[d]||{};s&&(f={min:0,max:0});const h=i?200:1e6,g=i?40:1e7,m={type:"inertia",velocity:r?t[d]:0,bounceStiffness:h,bounceDamping:g,timeConstant:750,restDelta:1,restSpeed:10,...o,...f};return this.startAxisValueAnimation(d,m)});return Promise.all(u).then(a)}startAxisValueAnimation(t,n){const r=this.getAxisMotionValue(t);return r.start(EA(t,r,0,n))}stopAnimation(){Ps(t=>this.getAxisMotionValue(t).stop())}getAxisMotionValue(t){const n="_drag"+t.toUpperCase(),r=this.visualElement.getProps(),i=r[n];return i||this.visualElement.getValue(t,(r.initial?r.initial[t]:void 0)||0)}snapToCursor(t){Ps(n=>{const{drag:r}=this.getProps();if(!sv(n,r,this.currentDirection))return;const{projection:i}=this.visualElement,o=this.getAxisMotionValue(n);if(i&&i.layout){const{min:s,max:a}=i.layout.layoutBox[n];o.set(t[n]-Pn(s,a,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!Xd(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};Ps(s=>{const a=this.getAxisMotionValue(s);if(a){const l=a.get();i[s]=x6e({min:l,max:l},this.constraints[s])}});const{transformTemplate:o}=this.visualElement.getProps();this.visualElement.current.style.transform=o?o({},""):"none",r.root&&r.root.updateScroll(),r.updateLayout(),this.resolveConstraints(),Ps(s=>{if(!sv(s,t,null))return;const a=this.getAxisMotionValue(s),{min:l,max:u}=this.constraints[s];a.set(Pn(l,u,i[s]))})}addListeners(){if(!this.visualElement.current)return;I6e.set(this.visualElement,this);const t=this.visualElement.current,n=Da(t,"pointerdown",l=>{const{drag:u,dragListener:d=!0}=this.getProps();u&&d&&this.start(l)}),r=()=>{const{dragConstraints:l}=this.getProps();Xd(l)&&(this.constraints=this.resolveRefConstraints())},{projection:i}=this.visualElement,o=i.addEventListener("measure",r);i&&!i.layout&&(i.root&&i.root.updateScroll(),i.updateLayout()),r();const s=ka(window,"resize",()=>this.scalePositionWithinConstraints()),a=i.addEventListener("didUpdate",({delta:l,hasLayoutChanged:u})=>{this.isDragging&&u&&(Ps(d=>{const f=this.getAxisMotionValue(d);f&&(this.originPoint[d]+=l[d].translate,f.set(f.get()+l[d].translate))}),this.visualElement.render())});return()=>{s(),n(),o(),a&&a()}}getProps(){const t=this.visualElement.getProps(),{drag:n=!1,dragDirectionLock:r=!1,dragPropagation:i=!1,dragConstraints:o=!1,dragElastic:s=Q5,dragMomentum:a=!0}=t;return{...t,drag:n,dragDirectionLock:r,dragPropagation:i,dragConstraints:o,dragElastic:s,dragMomentum:a}}}function sv(e,t,n){return(t===!0||t===e)&&(n===null||n===e)}function N6e(e,t=10){let n=null;return Math.abs(e.y)>t?n="y":Math.abs(e.x)>t&&(n="x"),n}class L6e extends xu{constructor(t){super(t),this.removeGroupControls=tr,this.removeListeners=tr,this.controls=new M6e(t)}mount(){const{dragControls:t}=this.node.getProps();t&&(this.removeGroupControls=t.subscribe(this.controls)),this.removeListeners=this.controls.addListeners()||tr}unmount(){this.removeGroupControls(),this.removeListeners()}}const XI=e=>(t,n)=>{e&&Sn.update(()=>e(t,n))};class D6e extends xu{constructor(){super(...arguments),this.removePointerDownListener=tr}onPointerDown(t){this.session=new Uj(t,this.createPanHandlers(),{transformPagePoint:this.node.getTransformPagePoint()})}createPanHandlers(){const{onPanSessionStart:t,onPanStart:n,onPan:r,onPanEnd:i}=this.node.getProps();return{onSessionStart:XI(t),onStart:XI(n),onMove:r,onEnd:(o,s)=>{delete this.session,i&&Sn.update(()=>i(o,s))}}}mount(){this.removePointerDownListener=Da(this.node.current,"pointerdown",t=>this.onPointerDown(t))}update(){this.session&&this.session.updateHandlers(this.createPanHandlers())}unmount(){this.removePointerDownListener(),this.session&&this.session.end()}}function $6e(){const e=L.useContext(Km);if(e===null)return[!0,null];const{isPresent:t,onExitComplete:n,register:r}=e,i=L.useId();return L.useEffect(()=>r(i),[]),!t&&n?[!1,()=>n&&n(i)]:[!0]}function XMe(){return F6e(L.useContext(Km))}function F6e(e){return e===null?!0:e.isPresent}const Gv={hasAnimatedSinceResize:!0,hasEverUpdated:!1};function YI(e,t){return t.max===t.min?0:e/(t.max-t.min)*100}const bp={correct:(e,t)=>{if(!t.target)return e;if(typeof e=="string")if(He.test(e))e=parseFloat(e);else return e;const n=YI(e,t.target.x),r=YI(e,t.target.y);return`${n}% ${r}%`}},B6e={correct:(e,{treeScale:t,projectionDelta:n})=>{const r=e,i=lu.parse(e);if(i.length>5)return r;const o=lu.createTransformer(e),s=typeof i[0]!="number"?1:0,a=n.x.scale*t.x,l=n.y.scale*t.y;i[0+s]/=a,i[1+s]/=l;const u=Pn(a,l,.5);return typeof i[2+s]=="number"&&(i[2+s]/=u),typeof i[3+s]=="number"&&(i[3+s]/=u),o(i)}};class U6e extends jt.Component{componentDidMount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r,layoutId:i}=this.props,{projection:o}=t;qTe(z6e),o&&(n.group&&n.group.add(o),r&&r.register&&i&&r.register(o),o.root.didUpdate(),o.addEventListener("animationComplete",()=>{this.safeToRemove()}),o.setOptions({...o.options,onExitComplete:()=>this.safeToRemove()})),Gv.hasEverUpdated=!0}getSnapshotBeforeUpdate(t){const{layoutDependency:n,visualElement:r,drag:i,isPresent:o}=this.props,s=r.projection;return s&&(s.isPresent=o,i||t.layoutDependency!==n||n===void 0?s.willUpdate():this.safeToRemove(),t.isPresent!==o&&(o?s.promote():s.relegate()||Sn.postRender(()=>{const a=s.getStack();(!a||!a.members.length)&&this.safeToRemove()}))),null}componentDidUpdate(){const{projection:t}=this.props.visualElement;t&&(t.root.didUpdate(),queueMicrotask(()=>{!t.currentAnimation&&t.isLead()&&this.safeToRemove()}))}componentWillUnmount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r}=this.props,{projection:i}=t;i&&(i.scheduleCheckAfterUnmount(),n&&n.group&&n.group.remove(i),r&&r.deregister&&r.deregister(i))}safeToRemove(){const{safeToRemove:t}=this.props;t&&t()}render(){return null}}function Wj(e){const[t,n]=$6e(),r=L.useContext(fA);return jt.createElement(U6e,{...e,layoutGroup:r,switchLayoutGroup:L.useContext(zV),isPresent:t,safeToRemove:n})}const z6e={borderRadius:{...bp,applyTo:["borderTopLeftRadius","borderTopRightRadius","borderBottomLeftRadius","borderBottomRightRadius"]},borderTopLeftRadius:bp,borderTopRightRadius:bp,borderBottomLeftRadius:bp,borderBottomRightRadius:bp,boxShadow:B6e},qj=["TopLeft","TopRight","BottomLeft","BottomRight"],V6e=qj.length,QI=e=>typeof e=="string"?parseFloat(e):e,ZI=e=>typeof e=="number"||He.test(e);function j6e(e,t,n,r,i,o){i?(e.opacity=Pn(0,n.opacity!==void 0?n.opacity:1,G6e(r)),e.opacityExit=Pn(t.opacity!==void 0?t.opacity:1,0,H6e(r))):o&&(e.opacity=Pn(t.opacity!==void 0?t.opacity:1,n.opacity!==void 0?n.opacity:1,r));for(let s=0;s<V6e;s++){const a=`border${qj[s]}Radius`;let l=JI(t,a),u=JI(n,a);if(l===void 0&&u===void 0)continue;l||(l=0),u||(u=0),l===0||u===0||ZI(l)===ZI(u)?(e[a]=Math.max(Pn(QI(l),QI(u),r),0),(qs.test(u)||qs.test(l))&&(e[a]+="%")):e[a]=u}(t.rotate||n.rotate)&&(e.rotate=Pn(t.rotate||0,n.rotate||0,r))}function JI(e,t){return e[t]!==void 0?e[t]:e.borderRadius}const G6e=Kj(0,.5,wA),H6e=Kj(.5,.95,tr);function Kj(e,t,n){return r=>r<e?0:r>t?1:n(im(e,t,r))}function e7(e,t){e.min=t.min,e.max=t.max}function wo(e,t){e7(e.x,t.x),e7(e.y,t.y)}function t7(e,t,n,r,i){return e-=t,e=P_(e,1/n,r),i!==void 0&&(e=P_(e,1/i,r)),e}function W6e(e,t=0,n=1,r=.5,i,o=e,s=e){if(qs.test(t)&&(t=parseFloat(t),t=Pn(s.min,s.max,t/100)-s.min),typeof t!="number")return;let a=Pn(o.min,o.max,r);e===o&&(a-=t),e.min=t7(e.min,t,n,a,i),e.max=t7(e.max,t,n,a,i)}function n7(e,t,[n,r,i],o,s){W6e(e,t[n],t[r],t[i],t.scale,o,s)}const q6e=["x","scaleX","originX"],K6e=["y","scaleY","originY"];function r7(e,t,n,r){n7(e.x,t,q6e,n?n.x:void 0,r?r.x:void 0),n7(e.y,t,K6e,n?n.y:void 0,r?r.y:void 0)}function i7(e){return e.translate===0&&e.scale===1}function Xj(e){return i7(e.x)&&i7(e.y)}function e4(e,t){return e.x.min===t.x.min&&e.x.max===t.x.max&&e.y.min===t.y.min&&e.y.max===t.y.max}function o7(e){return oo(e.x)/oo(e.y)}class X6e{constructor(){this.members=[]}add(t){AA(this.members,t),t.scheduleRender()}remove(t){if(PA(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function s7(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) `),(t.x!==1||t.y!==1)&&(r+=`scale(${1/t.x}, ${1/t.y}) `),n){const{rotate:l,rotateX:u,rotateY:d}=n;l&&(r+=`rotate(${l}deg) `),u&&(r+=`rotateX(${u}deg) `),d&&(r+=`rotateY(${d}deg) `)}const s=e.x.scale*t.x,a=e.y.scale*t.y;return(s!==1||a!==1)&&(r+=`scale(${s}, ${a})`),r||"none"}const Y6e=(e,t)=>e.depth-t.depth;class Q6e{constructor(){this.children=[],this.isDirty=!1}add(t){AA(this.children,t),this.isDirty=!0}remove(t){PA(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(Y6e),this.isDirty=!1,this.children.forEach(t)}}function Z6e(e,t){const n=performance.now(),r=({timestamp:i})=>{const o=i-n;o>=t&&(Wa(r),e(o-t))};return Sn.read(r,!0),()=>Wa(r)}function J6e(e){window.MotionDebug&&window.MotionDebug.record(e)}function ePe(e){return e instanceof SVGElement&&e.tagName!=="svg"}function tPe(e,t,n){const r=zi(e)?e:Wf(e);return r.start(EA("",r,t,n)),r.animation}const a7=["","X","Y","Z"],l7=1e3;let nPe=0;const Gu={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function Yj({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(s={},a=t==null?void 0:t()){this.id=nPe++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Gu.totalNodes=Gu.resolvedTargetDeltas=Gu.recalculatedProjection=0,this.nodes.forEach(oPe),this.nodes.forEach(cPe),this.nodes.forEach(dPe),this.nodes.forEach(sPe),J6e(Gu)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new Q6e)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new RA),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=ePe(s),this.instance=s;const{layoutId:l,layout:u,visualElement:d}=this.options;if(d&&!d.current&&d.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let f;const h=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,f&&f(),f=Z6e(h,250),Gv.hasAnimatedSinceResize&&(Gv.hasAnimatedSinceResize=!1,this.nodes.forEach(c7))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&d&&(l||u)&&this.addEventListener("didUpdate",({delta:f,hasLayoutChanged:h,hasRelativeTargetChanged:g,layout:m})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const v=this.options.transition||d.getDefaultTransition()||mPe,{onLayoutAnimationStart:x,onLayoutAnimationComplete:_}=d.getProps(),b=!this.targetLayout||!e4(this.targetLayout,m)||g,y=!h&&g;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||y||h&&(b||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(f,y);const S={...Dj(v,"layout"),onPlay:x,onComplete:_};(d.shouldReduceMotion||this.options.layoutRoot)&&(S.delay=0,S.type=!1),this.startAnimation(S)}else h||c7(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=m})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,Wa(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(fPe),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let d=0;d<this.path.length;d++){const f=this.path[d];f.shouldResetTransform=!0,f.updateScroll("snapshot"),f.options.layoutRoot&&f.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(u7);return}this.isUpdating||this.nodes.forEach(lPe),this.isUpdating=!1,this.nodes.forEach(uPe),this.nodes.forEach(rPe),this.nodes.forEach(iPe),this.clearAllSnapshots();const a=performance.now();Zr.delta=au(0,1e3/60,a-Zr.timestamp),Zr.timestamp=a,Zr.isProcessing=!0,uC.update.process(Zr),uC.preRender.process(Zr),uC.render.process(Zr),Zr.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach(aPe),this.sharedNodes.forEach(hPe)}scheduleUpdateProjection(){Sn.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){Sn.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=Xn(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!Xj(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,d=u!==this.prevTransformTemplateValue;s&&(a||ju(this.latestValues)||d)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),yPe(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return Xn();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(Tl(a.x,l.offset.x),Tl(a.y,l.offset.y)),a}removeElementScroll(s){const a=Xn();wo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:d,options:f}=u;if(u!==this.root&&d&&f.layoutScroll){if(d.isRoot){wo(a,s);const{scroll:h}=this.root;h&&(Tl(a.x,-h.offset.x),Tl(a.y,-h.offset.y))}Tl(a.x,d.offset.x),Tl(a.y,d.offset.y)}}return a}applyTransform(s,a=!1){const l=Xn();wo(l,s);for(let u=0;u<this.path.length;u++){const d=this.path[u];!a&&d.options.layoutScroll&&d.scroll&&d!==d.root&&Zd(l,{x:-d.scroll.offset.x,y:-d.scroll.offset.y}),ju(d.latestValues)&&Zd(l,d.latestValues)}return ju(this.latestValues)&&Zd(l,this.latestValues),l}removeTransform(s){const a=Xn();wo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!ju(u.latestValues))continue;Z5(u.latestValues)&&u.updateSnapshot();const d=Xn(),f=u.measurePageBox();wo(d,f),r7(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,d)}return ju(this.latestValues)&&r7(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==Zr.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:f,layoutId:h}=this.options;if(!(!this.layout||!(f||h))){if(this.resolvedRelativeTargetAt=Zr.timestamp,!this.targetDelta&&!this.relativeTarget){const g=this.getClosestProjectingParent();g&&g.layout&&this.animationProgress!==1?(this.relativeParent=g,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Xn(),this.relativeTargetOrigin=Xn(),Kp(this.relativeTargetOrigin,this.layout.layoutBox,g.layout.layoutBox),wo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=Xn(),this.targetWithTransforms=Xn()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),_6e(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):wo(this.target,this.layout.layoutBox),Gj(this.target,this.targetDelta)):wo(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const g=this.getClosestProjectingParent();g&&!!g.resumingFrom==!!this.resumingFrom&&!g.options.layoutScroll&&g.target&&this.animationProgress!==1?(this.relativeParent=g,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Xn(),this.relativeTargetOrigin=Xn(),Kp(this.relativeTargetOrigin,this.target,g.target),wo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Gu.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||Z5(this.parent.latestValues)||jj(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===Zr.timestamp&&(u=!1),u)return;const{layout:d,layoutId:f}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(d||f))return;wo(this.layoutCorrected,this.layout.layoutBox);const h=this.treeScale.x,g=this.treeScale.y;P6e(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:m}=a;if(!m){this.projectionTransform&&(this.projectionDelta=Qd(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=Qd(),this.projectionDeltaWithTransform=Qd());const v=this.projectionTransform;qp(this.projectionDelta,this.layoutCorrected,m,this.latestValues),this.projectionTransform=s7(this.projectionDelta,this.treeScale),(this.projectionTransform!==v||this.treeScale.x!==h||this.treeScale.y!==g)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",m)),Gu.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},d={...this.latestValues},f=Qd();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const h=Xn(),g=l?l.source:void 0,m=this.layout?this.layout.source:void 0,v=g!==m,x=this.getStack(),_=!x||x.members.length<=1,b=!!(v&&!_&&this.options.crossfade===!0&&!this.path.some(gPe));this.animationProgress=0;let y;this.mixTargetDelta=S=>{const C=S/1e3;d7(f.x,s.x,C),d7(f.y,s.y,C),this.setTargetDelta(f),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Kp(h,this.layout.layoutBox,this.relativeParent.layout.layoutBox),pPe(this.relativeTarget,this.relativeTargetOrigin,h,C),y&&e4(this.relativeTarget,y)&&(this.isProjectionDirty=!1),y||(y=Xn()),wo(y,this.relativeTarget)),v&&(this.animationValues=d,j6e(d,u,this.latestValues,C,b,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=C},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(Wa(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=Sn.update(()=>{Gv.hasAnimatedSinceResize=!0,this.currentAnimation=tPe(0,l7,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(l7),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:d}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&Qj(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Xn();const f=oo(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+f;const h=oo(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+h}wo(a,l),Zd(a,d),qp(this.projectionDeltaWithTransform,this.layoutCorrected,a,d)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new X6e),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let d=0;d<a7.length;d++){const f="rotate"+a7[d];l[f]&&(u[f]=l[f],s.setStaticValue(f,0))}s.render();for(const d in u)s.setStaticValue(d,u[d]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const d=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=jv(s.pointerEvents)||"",u.transform=d?d(this.latestValues,""):"none",u;const f=this.getLead();if(!this.projectionDelta||!this.layout||!f.target){const v={};return this.options.layoutId&&(v.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,v.pointerEvents=jv(s.pointerEvents)||""),this.hasProjected&&!ju(this.latestValues)&&(v.transform=d?d({},""):"none",this.hasProjected=!1),v}const h=f.animationValues||f.latestValues;this.applyTransformsToTarget(),u.transform=s7(this.projectionDeltaWithTransform,this.treeScale,h),d&&(u.transform=d(h,u.transform));const{x:g,y:m}=this.projectionDelta;u.transformOrigin=`${g.origin*100}% ${m.origin*100}% 0`,f.animationValues?u.opacity=f===this?(l=(a=h.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:h.opacityExit:u.opacity=f===this?h.opacity!==void 0?h.opacity:"":h.opacityExit!==void 0?h.opacityExit:0;for(const v in S_){if(h[v]===void 0)continue;const{correct:x,applyTo:_}=S_[v],b=u.transform==="none"?h[v]:x(h[v],f);if(_){const y=_.length;for(let S=0;S<y;S++)u[_[S]]=b}else u[v]=b}return this.options.layoutId&&(u.pointerEvents=f===this?jv(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(u7),this.root.sharedNodes.clear()}}}function rPe(e){e.updateLayout()}function iPe(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?Ps(f=>{const h=s?n.measuredBox[f]:n.layoutBox[f],g=oo(h);h.min=r[f].min,h.max=h.min+g}):Qj(o,n.layoutBox,r)&&Ps(f=>{const h=s?n.measuredBox[f]:n.layoutBox[f],g=oo(r[f]);h.max=h.min+g,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[f].max=e.relativeTarget[f].min+g)});const a=Qd();qp(a,r,n.layoutBox);const l=Qd();s?qp(l,e.applyTransform(i,!0),n.measuredBox):qp(l,r,n.layoutBox);const u=!Xj(a);let d=!1;if(!e.resumeFrom){const f=e.getClosestProjectingParent();if(f&&!f.resumeFrom){const{snapshot:h,layout:g}=f;if(h&&g){const m=Xn();Kp(m,n.layoutBox,h.layoutBox);const v=Xn();Kp(v,r,g.layoutBox),e4(m,v)||(d=!0),f.options.layoutRoot&&(e.relativeTarget=v,e.relativeTargetOrigin=m,e.relativeParent=f)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:d})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function oPe(e){Gu.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function sPe(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function aPe(e){e.clearSnapshot()}function u7(e){e.clearMeasurements()}function lPe(e){e.isLayoutDirty=!1}function uPe(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function c7(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function cPe(e){e.resolveTargetDelta()}function dPe(e){e.calcProjection()}function fPe(e){e.resetRotation()}function hPe(e){e.removeLeadSnapshot()}function d7(e,t,n){e.translate=Pn(t.translate,0,n),e.scale=Pn(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function f7(e,t,n,r){e.min=Pn(t.min,n.min,r),e.max=Pn(t.max,n.max,r)}function pPe(e,t,n,r){f7(e.x,t.x,n.x,r),f7(e.y,t.y,n.y,r)}function gPe(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const mPe={duration:.45,ease:[.4,0,.1,1]};function h7(e){e.min=Math.round(e.min*2)/2,e.max=Math.round(e.max*2)/2}function yPe(e){h7(e.x),h7(e.y)}function Qj(e,t,n){return e==="position"||e==="preserve-aspect"&&!Y5(o7(t),o7(n),.2)}const vPe=Yj({attachResizeListener:(e,t)=>ka(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),SC={current:void 0},Zj=Yj({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!SC.current){const e=new vPe({});e.mount(window),e.setOptions({layoutScroll:!0}),SC.current=e}return SC.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>window.getComputedStyle(e).position==="fixed"}),_Pe={pan:{Feature:D6e},drag:{Feature:L6e,ProjectionNode:Zj,MeasureLayout:Wj}},bPe=/var\((--[a-zA-Z0-9-_]+),? ?([a-zA-Z0-9 ()%#.,-]+)?\)/;function SPe(e){const t=bPe.exec(e);if(!t)return[,];const[,n,r]=t;return[n,r]}function t4(e,t,n=1){const[r,i]=SPe(e);if(!r)return;const o=window.getComputedStyle(t).getPropertyValue(r);return o?o.trim():j5(i)?t4(i,t,n+1):i}function wPe(e,{...t},n){const r=e.current;if(!(r instanceof Element))return{target:t,transitionEnd:n};n&&(n={...n}),e.values.forEach(i=>{const o=i.get();if(!j5(o))return;const s=t4(o,r);s&&i.set(s)});for(const i in t){const o=t[i];if(!j5(o))continue;const s=t4(o,r);s&&(t[i]=s,n||(n={}),n[i]===void 0&&(n[i]=o))}return{target:t,transitionEnd:n}}const xPe=new Set(["width","height","top","left","right","bottom","x","y","translateX","translateY"]),Jj=e=>xPe.has(e),CPe=e=>Object.keys(e).some(Jj),p7=e=>e===jc||e===He,g7=(e,t)=>parseFloat(e.split(", ")[t]),m7=(e,t)=>(n,{transform:r})=>{if(r==="none"||!r)return 0;const i=r.match(/^matrix3d\((.+)\)$/);if(i)return g7(i[1],t);{const o=r.match(/^matrix\((.+)\)$/);return o?g7(o[1],e):0}},TPe=new Set(["x","y","z"]),EPe=Xm.filter(e=>!TPe.has(e));function APe(e){const t=[];return EPe.forEach(n=>{const r=e.getValue(n);r!==void 0&&(t.push([n,r.get()]),r.set(n.startsWith("scale")?1:0))}),t.length&&e.render(),t}const qf={width:({x:e},{paddingLeft:t="0",paddingRight:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),height:({y:e},{paddingTop:t="0",paddingBottom:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),top:(e,{top:t})=>parseFloat(t),left:(e,{left:t})=>parseFloat(t),bottom:({y:e},{top:t})=>parseFloat(t)+(e.max-e.min),right:({x:e},{left:t})=>parseFloat(t)+(e.max-e.min),x:m7(4,13),y:m7(5,14)};qf.translateX=qf.x;qf.translateY=qf.y;const PPe=(e,t,n)=>{const r=t.measureViewportBox(),i=t.current,o=getComputedStyle(i),{display:s}=o,a={};s==="none"&&t.setStaticValue("display",e.display||"block"),n.forEach(u=>{a[u]=qf[u](r,o)}),t.render();const l=t.measureViewportBox();return n.forEach(u=>{const d=t.getValue(u);d&&d.jump(a[u]),e[u]=qf[u](l,o)}),e},RPe=(e,t,n={},r={})=>{t={...t},r={...r};const i=Object.keys(t).filter(Jj);let o=[],s=!1;const a=[];if(i.forEach(l=>{const u=e.getValue(l);if(!e.hasValue(l))return;let d=n[l],f=_p(d);const h=t[l];let g;if(x_(h)){const 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e=window.matchMedia("(prefers-reduced-motion)"),t=()=>n4.current=e.matches;e.addListener(t),t()}else n4.current=!1}function MPe(e,t,n){const{willChange:r}=t;for(const i in t){const o=t[i],s=n[i];if(zi(o))e.addValue(i,o),A_(r)&&r.add(i);else if(zi(s))e.addValue(i,Wf(o,{owner:e})),A_(r)&&r.remove(i);else if(s!==o)if(e.hasValue(i)){const a=e.getValue(i);!a.hasAnimated&&a.set(o)}else{const a=e.getStaticValue(i);e.addValue(i,Wf(a!==void 0?a:o,{owner:e}))}}for(const i in n)t[i]===void 0&&e.removeValue(i);return t}const y7=new WeakMap,tG=Object.keys(rm),NPe=tG.length,v7=["AnimationStart","AnimationComplete","Update","BeforeLayoutMeasure","LayoutMeasure","LayoutAnimationStart","LayoutAnimationComplete"],LPe=dA.length;class DPe{constructor({parent:t,props:n,presenceContext:r,reducedMotionConfig:i,visualState:o},s={}){this.current=null,this.children=new Set,this.isVariantNode=!1,this.isControllingVariants=!1,this.shouldReduceMotion=null,this.values=new Map,this.features={},this.valueSubscriptions=new Map,this.prevMotionValues={},this.events={},this.propEventSubscriptions={},this.notifyUpdate=()=>this.notify("Update",this.latestValues),this.render=()=>{this.current&&(this.triggerBuild(),this.renderInstance(this.current,this.renderState,this.props.style,this.projection))},this.scheduleRender=()=>Sn.render(this.render,!1,!0);const{latestValues:a,renderState:l}=o;this.latestValues=a,this.baseTarget={...a},this.initialValues=n.initial?{...a}:{},this.renderState=l,this.parent=t,this.props=n,this.presenceContext=r,this.depth=t?t.depth+1:0,this.reducedMotionConfig=i,this.options=s,this.isControllingVariants=v2(n),this.isVariantNode=UV(n),this.isVariantNode&&(this.variantChildren=new Set),this.manuallyAnimateOnMount=!!(t&&t.current);const{willChange:u,...d}=this.scrapeMotionValuesFromProps(n,{});for(const f in d){const h=d[f];a[f]!==void 0&&zi(h)&&(h.set(a[f],!1),A_(u)&&u.add(f))}}scrapeMotionValuesFromProps(t,n){return{}}mount(t){this.current=t,y7.set(t,this),this.projection&&!this.projection.instance&&this.projection.mount(t),this.parent&&this.isVariantNode&&!this.isControllingVariants&&(this.removeFromVariantTree=this.parent.addVariantChild(this)),this.values.forEach((n,r)=>this.bindToMotionValue(r,n)),eG.current||IPe(),this.shouldReduceMotion=this.reducedMotionConfig==="never"?!1:this.reducedMotionConfig==="always"?!0:n4.current,this.parent&&this.parent.children.add(this),this.update(this.props,this.presenceContext)}unmount(){y7.delete(this.current),this.projection&&this.projection.unmount(),Wa(this.notifyUpdate),Wa(this.render),this.valueSubscriptions.forEach(t=>t()),this.removeFromVariantTree&&this.removeFromVariantTree(),this.parent&&this.parent.children.delete(this);for(const t in this.events)this.events[t].clear();for(const t in this.features)this.features[t].unmount();this.current=null}bindToMotionValue(t,n){const r=Vc.has(t),i=n.on("change",s=>{this.latestValues[t]=s,this.props.onUpdate&&Sn.update(this.notifyUpdate,!1,!0),r&&this.projection&&(this.projection.isTransformDirty=!0)}),o=n.on("renderRequest",this.scheduleRender);this.valueSubscriptions.set(t,()=>{i(),o()})}sortNodePosition(t){return!this.current||!this.sortInstanceNodePosition||this.type!==t.type?0:this.sortInstanceNodePosition(this.current,t.current)}loadFeatures({children:t,...n},r,i,o){let s,a;for(let l=0;l<NPe;l++){const u=tG[l],{isEnabled:d,Feature:f,ProjectionNode:h,MeasureLayout:g}=rm[u];h&&(s=h),d(n)&&(!this.features[u]&&f&&(this.features[u]=new f(this)),g&&(a=g))}if(!this.projection&&s){this.projection=new s(this.latestValues,this.parent&&this.parent.projection);const{layoutId:l,layout:u,drag:d,dragConstraints:f,layoutScroll:h,layoutRoot:g}=n;this.projection.setOptions({layoutId:l,layout:u,alwaysMeasureLayout:!!d||f&&Xd(f),visualElement:this,scheduleRender:()=>this.scheduleRender(),animationType:typeof u=="string"?u:"both",initialPromotionConfig:o,layoutScroll:h,layoutRoot:g})}return a}updateFeatures(){for(const t in this.features){const n=this.features[t];n.isMounted?n.update():(n.mount(),n.isMounted=!0)}}triggerBuild(){this.build(this.renderState,this.latestValues,this.options,this.props)}measureViewportBox(){return this.current?this.measureInstanceViewportBox(this.current,this.props):Xn()}getStaticValue(t){return this.latestValues[t]}setStaticValue(t,n){this.latestValues[t]=n}makeTargetAnimatable(t,n=!0){return this.makeTargetAnimatableFromInstance(t,this.props,n)}update(t,n){(t.transformTemplate||this.props.transformTemplate)&&this.scheduleRender(),this.prevProps=this.props,this.props=t,this.prevPresenceContext=this.presenceContext,this.presenceContext=n;for(let r=0;r<v7.length;r++){const i=v7[r];this.propEventSubscriptions[i]&&(this.propEventSubscriptions[i](),delete this.propEventSubscriptions[i]);const o=t["on"+i];o&&(this.propEventSubscriptions[i]=this.on(i,o))}this.prevMotionValues=MPe(this,this.scrapeMotionValuesFromProps(t,this.prevProps),this.prevMotionValues),this.handleChildMotionValue&&this.handleChildMotionValue()}getProps(){return this.props}getVariant(t){return this.props.variants?this.props.variants[t]:void 0}getDefaultTransition(){return this.props.transition}getTransformPagePoint(){return this.props.transformPagePoint}getClosestVariantNode(){return this.isVariantNode?this:this.parent?this.parent.getClosestVariantNode():void 0}getVariantContext(t=!1){if(t)return this.parent?this.parent.getVariantContext():void 0;if(!this.isControllingVariants){const r=this.parent?this.parent.getVariantContext()||{}:{};return this.props.initial!==void 0&&(r.initial=this.props.initial),r}const n={};for(let r=0;r<LPe;r++){const i=dA[r],o=this.props[i];(nm(o)||o===!1)&&(n[i]=o)}return n}addVariantChild(t){const n=this.getClosestVariantNode();if(n)return n.variantChildren&&n.variantChildren.add(t),()=>n.variantChildren.delete(t)}addValue(t,n){n!==this.values.get(t)&&(this.removeValue(t),this.bindToMotionValue(t,n)),this.values.set(t,n),this.latestValues[t]=n.get()}removeValue(t){this.values.delete(t);const n=this.valueSubscriptions.get(t);n&&(n(),this.valueSubscriptions.delete(t)),delete this.latestValues[t],this.removeValueFromRenderState(t,this.renderState)}hasValue(t){return this.values.has(t)}getValue(t,n){if(this.props.values&&this.props.values[t])return this.props.values[t];let r=this.values.get(t);return r===void 0&&n!==void 0&&(r=Wf(n,{owner:this}),this.addValue(t,r)),r}readValue(t){var n;return this.latestValues[t]!==void 0||!this.current?this.latestValues[t]:(n=this.getBaseTargetFromProps(this.props,t))!==null&&n!==void 0?n:this.readValueFromInstance(this.current,t,this.options)}setBaseTarget(t,n){this.baseTarget[t]=n}getBaseTarget(t){var n;const{initial:r}=this.props,i=typeof r=="string"||typeof r=="object"?(n=bA(this.props,r))===null||n===void 0?void 0:n[t]:void 0;if(r&&i!==void 0)return i;const o=this.getBaseTargetFromProps(this.props,t);return o!==void 0&&!zi(o)?o:this.initialValues[t]!==void 0&&i===void 0?void 0:this.baseTarget[t]}on(t,n){return this.events[t]||(this.events[t]=new RA),this.events[t].add(n)}notify(t,...n){this.events[t]&&this.events[t].notify(...n)}}class nG extends DPe{sortInstanceNodePosition(t,n){return t.compareDocumentPosition(n)&2?1:-1}getBaseTargetFromProps(t,n){return t.style?t.style[n]:void 0}removeValueFromRenderState(t,{vars:n,style:r}){delete n[t],delete r[t]}makeTargetAnimatableFromInstance({transition:t,transitionEnd:n,...r},{transformValues:i},o){let s=t6e(r,t||{},this);if(i&&(n&&(n=i(n)),r&&(r=i(r)),s&&(s=i(s))),o){JAe(this,r,s);const a=kPe(this,r,s,n);n=a.transitionEnd,r=a.target}return{transition:t,transitionEnd:n,...r}}}function $Pe(e){return window.getComputedStyle(e)}class FPe extends nG{readValueFromInstance(t,n){if(Vc.has(n)){const r=TA(n);return r&&r.default||0}else{const r=$Pe(t),i=(GV(n)?r.getPropertyValue(n):r[n])||0;return typeof i=="string"?i.trim():i}}measureInstanceViewportBox(t,{transformPagePoint:n}){return Hj(t,n)}build(t,n,r,i){pA(t,n,r,i.transformTemplate)}scrapeMotionValuesFromProps(t,n){return _A(t,n)}handleChildMotionValue(){this.childSubscription&&(this.childSubscription(),delete this.childSubscription);const{children:t}=this.props;zi(t)&&(this.childSubscription=t.on("change",n=>{this.current&&(this.current.textContent=`${n}`)}))}renderInstance(t,n,r,i){YV(t,n,r,i)}}class BPe extends nG{constructor(){super(...arguments),this.isSVGTag=!1}getBaseTargetFromProps(t,n){return t[n]}readValueFromInstance(t,n){if(Vc.has(n)){const r=TA(n);return r&&r.default||0}return n=QV.has(n)?n:vA(n),t.getAttribute(n)}measureInstanceViewportBox(){return Xn()}scrapeMotionValuesFromProps(t,n){return JV(t,n)}build(t,n,r,i){mA(t,n,r,this.isSVGTag,i.transformTemplate)}renderInstance(t,n,r,i){ZV(t,n,r,i)}mount(t){this.isSVGTag=yA(t.tagName),super.mount(t)}}const UPe=(e,t)=>hA(e)?new BPe(t,{enableHardwareAcceleration:!1}):new FPe(t,{enableHardwareAcceleration:!0}),zPe={layout:{ProjectionNode:Zj,MeasureLayout:Wj}},VPe={...g6e,...DEe,..._Pe,...zPe},jPe=HTe((e,t)=>bEe(e,t,VPe,UPe));function rG(){const e=L.useRef(!1);return b_(()=>(e.current=!0,()=>{e.current=!1}),[]),e}function GPe(){const e=rG(),[t,n]=L.useState(0),r=L.useCallback(()=>{e.current&&n(t+1)},[t]);return[L.useCallback(()=>Sn.postRender(r),[r]),t]}class HPe extends L.Component{getSnapshotBeforeUpdate(t){const n=this.props.childRef.current;if(n&&t.isPresent&&!this.props.isPresent){const r=this.props.sizeRef.current;r.height=n.offsetHeight||0,r.width=n.offsetWidth||0,r.top=n.offsetTop,r.left=n.offsetLeft}return null}componentDidUpdate(){}render(){return this.props.children}}function WPe({children:e,isPresent:t}){const n=L.useId(),r=L.useRef(null),i=L.useRef({width:0,height:0,top:0,left:0});return L.useInsertionEffect(()=>{const{width:o,height:s,top:a,left:l}=i.current;if(t||!r.current||!o||!s)return;r.current.dataset.motionPopId=n;const u=document.createElement("style");return document.head.appendChild(u),u.sheet&&u.sheet.insertRule(`
+          [data-motion-pop-id="${n}"] {
+            position: absolute !important;
+            width: ${o}px !important;
+            height: ${s}px !important;
+            top: ${a}px !important;
+            left: ${l}px !important;
+          }
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on;(function(e){e.Space="Space",e.Down="ArrowDown",e.Right="ArrowRight",e.Left="ArrowLeft",e.Up="ArrowUp",e.Esc="Escape",e.Enter="Enter"})(on||(on={}));const CG={start:[on.Space,on.Enter],cancel:[on.Esc],end:[on.Space,on.Enter]},g9e=(e,t)=>{let{currentCoordinates:n}=t;switch(e.code){case on.Right:return{...n,x:n.x+25};case on.Left:return{...n,x:n.x-25};case on.Down:return{...n,y:n.y+25};case on.Up:return{...n,y:n.y-25}}};class TG{constructor(t){this.props=void 0,this.autoScrollEnabled=!1,this.referenceCoordinates=void 0,this.listeners=void 0,this.windowListeners=void 0,this.props=t;const{event:{target:n}}=t;this.props=t,this.listeners=new Xp(fh(n)),this.windowListeners=new Xp(xi(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(Co.Resize,this.handleCancel),this.windowListeners.add(Co.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(Co.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&xG(r),n(ms)}handleKeyDown(t){if(LA(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=CG,coordinateGetter:s=g9e,scrollBehavior:a="smooth"}=i,{code:l}=t;if(o.end.includes(l)){this.handleEnd(t);return}if(o.cancel.includes(l)){this.handleCancel(t);return}const{collisionRect:u}=r.current,d=u?{x:u.left,y:u.top}:ms;this.referenceCoordinates||(this.referenceCoordinates=d);const f=s(t,{active:n,context:r.current,currentCoordinates:d});if(f){const h=M_(f,d),g={x:0,y:0},{scrollableAncestors:m}=r.current;for(const v of m){const x=t.code,{isTop:_,isRight:b,isLeft:y,isBottom:S,maxScroll:C,minScroll:T}=SG(v),E=u9e(v),P={x:Math.min(x===on.Right?E.right-E.width/2:E.right,Math.max(x===on.Right?E.left:E.left+E.width/2,f.x)),y:Math.min(x===on.Down?E.bottom-E.height/2:E.bottom,Math.max(x===on.Down?E.top:E.top+E.height/2,f.y))},k=x===on.Right&&!b||x===on.Left&&!y,O=x===on.Down&&!S||x===on.Up&&!_;if(k&&P.x!==f.x){const M=v.scrollLeft+h.x,V=x===on.Right&&M<=C.x||x===on.Left&&M>=T.x;if(V&&!h.y){v.scrollTo({left:M,behavior:a});return}V?g.x=v.scrollLeft-M:g.x=x===on.Right?v.scrollLeft-C.x:v.scrollLeft-T.x,g.x&&v.scrollBy({left:-g.x,behavior:a});break}else if(O&&P.y!==f.y){const M=v.scrollTop+h.y,V=x===on.Down&&M<=C.y||x===on.Up&&M>=T.y;if(V&&!h.x){v.scrollTo({top:M,behavior:a});return}V?g.y=v.scrollTop-M:g.y=x===on.Down?v.scrollTop-C.y:v.scrollTop-T.y,g.y&&v.scrollBy({top:-g.y,behavior:a});break}}this.handleMove(t,wf(M_(f,this.referenceCoordinates),g))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}TG.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=CG,onActivation:i}=t,{active:o}=n;const{code:s}=e.nativeEvent;if(r.start.includes(s)){const a=o.activatorNode.current;return a&&e.target!==a?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function P7(e){return!!(e&&"distance"in e)}function R7(e){return!!(e&&"delay"in e)}class FA{constructor(t,n,r){var i;r===void 0&&(r=h9e(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=fh(s),this.documentListeners=new Xp(this.document),this.listeners=new Xp(r),this.windowListeners=new Xp(xi(s)),this.initialCoordinates=(i=lm(o))!=null?i:ms,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(Co.Resize,this.handleCancel),this.windowListeners.add(Co.DragStart,A7),this.windowListeners.add(Co.VisibilityChange,this.handleCancel),this.windowListeners.add(Co.ContextMenu,A7),this.documentListeners.add(Co.Keydown,this.handleKeydown),n){if(P7(n))return;if(R7(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(Co.Click,p9e,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(Co.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=lm(t))!=null?n:ms,u=M_(i,l);if(!r&&a){if(R7(a))return TC(u,a.tolerance)?this.handleCancel():void 0;if(P7(a))return a.tolerance!=null&&TC(u,a.tolerance)?this.handleCancel():TC(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===on.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const m9e={move:{name:"pointermove"},end:{name:"pointerup"}};class EG extends FA{constructor(t){const{event:n}=t,r=fh(n.target);super(t,m9e,r)}}EG.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const y9e={move:{name:"mousemove"},end:{name:"mouseup"}};var d4;(function(e){e[e.RightClick=2]="RightClick"})(d4||(d4={}));class AG extends FA{constructor(t){super(t,y9e,fh(t.event.target))}}AG.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===d4.RightClick?!1:(r==null||r({event:n}),!0)}}];const EC={move:{name:"touchmove"},end:{name:"touchend"}};class PG extends FA{constructor(t){super(t,EC)}static setup(){return window.addEventListener(EC.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(EC.move.name,t)};function t(){}}}PG.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var Yp;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Yp||(Yp={}));var L_;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(L_||(L_={}));function v9e(e){let{acceleration:t,activator:n=Yp.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=L_.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:d,delta:f,threshold:h}=e;const g=b9e({delta:f,disabled:!o}),[m,v]=P8e(),x=L.useRef({x:0,y:0}),_=L.useRef({x:0,y:0}),b=L.useMemo(()=>{switch(n){case Yp.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case Yp.DraggableRect:return i}},[n,i,l]),y=L.useRef(null),S=L.useCallback(()=>{const T=y.current;if(!T)return;const E=x.current.x*_.current.x,P=x.current.y*_.current.y;T.scrollBy(E,P)},[]),C=L.useMemo(()=>a===L_.TreeOrder?[...u].reverse():u,[a,u]);L.useEffect(()=>{if(!o||!u.length||!b){v();return}for(const T of C){if((r==null?void 0:r(T))===!1)continue;const E=u.indexOf(T),P=d[E];if(!P)continue;const{direction:k,speed:O}=l9e(T,P,b,t,h);for(const M of["x","y"])g[M][k[M]]||(O[M]=0,k[M]=0);if(O.x>0||O.y>0){v(),y.current=T,m(S,s),x.current=O,_.current=k;return}}x.current={x:0,y:0},_.current={x:0,y:0},v()},[t,S,r,v,o,s,JSON.stringify(b),JSON.stringify(g),m,u,C,d,JSON.stringify(h)])}const _9e={x:{[xr.Backward]:!1,[xr.Forward]:!1},y:{[xr.Backward]:!1,[xr.Forward]:!1}};function b9e(e){let{delta:t,disabled:n}=e;const r=I_(t);return ey(i=>{if(n||!r||!i)return _9e;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[xr.Backward]:i.x[xr.Backward]||o.x===-1,[xr.Forward]:i.x[xr.Forward]||o.x===1},y:{[xr.Backward]:i.y[xr.Backward]||o.y===-1,[xr.Forward]:i.y[xr.Forward]||o.y===1}}},[n,t,r])}function S9e(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return ey(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function w9e(e,t){return L.useMemo(()=>e.reduce((n,r)=>{const{sensor:i}=r,o=i.activators.map(s=>({eventName:s.eventName,handler:t(s.handler,r)}));return[...n,...o]},[]),[e,t])}var cm;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(cm||(cm={}));var f4;(function(e){e.Optimized="optimized"})(f4||(f4={}));const O7=new Map;function x9e(e,t){let{dragging:n,dependencies:r,config:i}=t;const[o,s]=L.useState(null),{frequency:a,measure:l,strategy:u}=i,d=L.useRef(e),f=x(),h=am(f),g=L.useCallback(function(_){_===void 0&&(_=[]),!h.current&&s(b=>b===null?_:b.concat(_.filter(y=>!b.includes(y))))},[h]),m=L.useRef(null),v=ey(_=>{if(f&&!n)return O7;if(!_||_===O7||d.current!==e||o!=null){const b=new Map;for(let y of e){if(!y)continue;if(o&&o.length>0&&!o.includes(y.id)&&y.rect.current){b.set(y.id,y.rect.current);continue}const S=y.node.current,C=S?new $A(l(S),S):null;y.rect.current=C,C&&b.set(y.id,C)}return b}return _},[e,o,n,f,l]);return L.useEffect(()=>{d.current=e},[e]),L.useEffect(()=>{f||g()},[n,f]),L.useEffect(()=>{o&&o.length>0&&s(null)},[JSON.stringify(o)]),L.useEffect(()=>{f||typeof a!="number"||m.current!==null||(m.current=setTimeout(()=>{g(),m.current=null},a))},[a,f,g,...r]),{droppableRects:v,measureDroppableContainers:g,measuringScheduled:o!=null};function x(){switch(u){case cm.Always:return!1;case cm.BeforeDragging:return n;default:return!n}}}function BA(e,t){return ey(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function C9e(e,t){return BA(e,t)}function T9e(e){let{callback:t,disabled:n}=e;const r=x2(t),i=L.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:o}=window;return new o(r)},[r,n]);return L.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function T2(e){let{callback:t,disabled:n}=e;const r=x2(t),i=L.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:o}=window;return new o(r)},[n]);return L.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function E9e(e){return new $A(ty(e),e)}function k7(e,t,n){t===void 0&&(t=E9e);const[r,i]=L.useReducer(a,null),o=T9e({callback(l){if(e)for(const u of l){const{type:d,target:f}=u;if(d==="childList"&&f instanceof HTMLElement&&f.contains(e)){i();break}}}}),s=T2({callback:i});return Zs(()=>{i(),e?(s==null||s.observe(e),o==null||o.observe(document.body,{childList:!0,subtree:!0})):(s==null||s.disconnect(),o==null||o.disconnect())},[e]),r;function a(l){if(!e)return null;if(e.isConnected===!1){var u;return(u=l??n)!=null?u:null}const d=t(e);return JSON.stringify(l)===JSON.stringify(d)?l:d}}function A9e(e){const t=BA(e);return gG(e,t)}const I7=[];function P9e(e){const t=L.useRef(e),n=ey(r=>e?r&&r!==I7&&e&&t.current&&e.parentNode===t.current.parentNode?r:DA(e):I7,[e]);return L.useEffect(()=>{t.current=e},[e]),n}function R9e(e){const[t,n]=L.useState(null),r=L.useRef(e),i=L.useCallback(o=>{const s=CC(o.target);s&&n(a=>a?(a.set(s,c4(s)),new Map(a)):null)},[]);return L.useEffect(()=>{const o=r.current;if(e!==o){s(o);const a=e.map(l=>{const u=CC(l);return u?(u.addEventListener("scroll",i,{passive:!0}),[u,c4(u)]):null}).filter(l=>l!=null);n(a.length?new Map(a):null),r.current=e}return()=>{s(e),s(o)};function s(a){a.forEach(l=>{const u=CC(l);u==null||u.removeEventListener("scroll",i)})}},[i,e]),L.useMemo(()=>e.length?t?Array.from(t.values()).reduce((o,s)=>wf(o,s),ms):wG(e):ms,[e,t])}function M7(e,t){t===void 0&&(t=[]);const n=L.useRef(null);return L.useEffect(()=>{n.current=null},t),L.useEffect(()=>{const r=e!==ms;r&&!n.current&&(n.current=e),!r&&n.current&&(n.current=null)},[e]),n.current?M_(e,n.current):ms}function O9e(e){L.useEffect(()=>{if(!w2)return;const t=e.map(n=>{let{sensor:r}=n;return r.setup==null?void 0:r.setup()});return()=>{for(const n of t)n==null||n()}},e.map(t=>{let{sensor:n}=t;return n}))}function k9e(e,t){return L.useMemo(()=>e.reduce((n,r)=>{let{eventName:i,handler:o}=r;return n[i]=s=>{o(s,t)},n},{}),[e,t])}function RG(e){return L.useMemo(()=>e?i9e(e):null,[e])}const AC=[];function I9e(e,t){t===void 0&&(t=ty);const[n]=e,r=RG(n?xi(n):null),[i,o]=L.useReducer(a,AC),s=T2({callback:o});return e.length>0&&i===AC&&o(),Zs(()=>{e.length?e.forEach(l=>s==null?void 0:s.observe(l)):(s==null||s.disconnect(),o())},[e]),i;function a(){return e.length?e.map(l=>bG(l)?r:new $A(t(l),l)):AC}}function OG(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return Jm(t)?t:e}function M9e(e){let{measure:t}=e;const[n,r]=L.useState(null),i=L.useCallback(u=>{for(const{target:d}of u)if(Jm(d)){r(f=>{const h=t(d);return f?{...f,width:h.width,height:h.height}:h});break}},[t]),o=T2({callback:i}),s=L.useCallback(u=>{const d=OG(u);o==null||o.disconnect(),d&&(o==null||o.observe(d)),r(d?t(d):null)},[t,o]),[a,l]=k_(s);return L.useMemo(()=>({nodeRef:a,rect:n,setRef:l}),[n,a,l])}const N9e=[{sensor:EG,options:{}},{sensor:TG,options:{}}],L9e={current:{}},Hv={draggable:{measure:E7},droppable:{measure:E7,strategy:cm.WhileDragging,frequency:f4.Optimized},dragOverlay:{measure:ty}};class Qp extends Map{get(t){var n;return t!=null&&(n=super.get(t))!=null?n:void 0}toArray(){return Array.from(this.values())}getEnabled(){return this.toArray().filter(t=>{let{disabled:n}=t;return!n})}getNodeFor(t){var n,r;return(n=(r=this.get(t))==null?void 0:r.node.current)!=null?n:void 0}}const D9e={activatorEvent:null,active:null,activeNode:null,activeNodeRect:null,collisions:null,containerNodeRect:null,draggableNodes:new Map,droppableRects:new Map,droppableContainers:new Qp,over:null,dragOverlay:{nodeRef:{current:null},rect:null,setRef:N_},scrollableAncestors:[],scrollableAncestorRects:[],measuringConfiguration:Hv,measureDroppableContainers:N_,windowRect:null,measuringScheduled:!1},kG={activatorEvent:null,activators:[],active:null,activeNodeRect:null,ariaDescribedById:{draggable:""},dispatch:N_,draggableNodes:new Map,over:null,measureDroppableContainers:N_},ny=L.createContext(kG),IG=L.createContext(D9e);function $9e(){return{draggable:{active:null,initialCoordinates:{x:0,y:0},nodes:new 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jt.createElement(Z9e,null,jt.createElement(Y9e,{animation:O},f&&E?jt.createElement(tRe,{key:E,id:f.id,ref:M,as:a,activatorEvent:d,adjustScale:t,className:l,transition:o,rect:k,style:{zIndex:u,...i},transform:P},n):null))}),uRe=e=>{let{activatorEvent:t,draggingNodeRect:n,transform:r}=e;if(n&&t){const i=lm(t);if(!i)return r;const o=i.x-n.left,s=i.y-n.top;return{...r,x:r.x+o-n.width/2,y:r.y+s-n.height/2}}return r},cRe=()=>Q$(),JMe=j$,lv=28,D7={w:lv,h:lv,maxW:lv,maxH:lv,shadow:"dark-lg",borderRadius:"lg",opacity:.3,bg:"base.800",color:"base.50",_dark:{borderColor:"base.200",bg:"base.900",color:"base.100"}},dRe=e=>{if(!e.dragData)return null;if(e.dragData.payloadType==="IMAGE_DTO"){const{thumbnail_url:t,width:n,height:r}=e.dragData.payload.imageDTO;return ue.jsx(kA,{sx:{position:"relative",width:"100%",height:"100%",display:"flex",alignItems:"center",justifyContent:"center",userSelect:"none",cursor:"none"},children:ue.jsx(OA,{sx:{...D7},objectFit:"contain",src:t,width:n,height:r})})}return 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deleted file mode 100644
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input";break;case me.custom:n="Invalid input";break;case me.invalid_intersection_types:n="Intersection results could not be merged";break;case me.not_multiple_of:n=`Number must be a multiple of ${e.multipleOf}`;break;case me.not_finite:n="Number must be finite";break;default:n=t.defaultError,wt.assertNever(e)}return{message:n}};let VD=cg;function cle(e){VD=e}function f1(){return VD}const h1=e=>{const{data:t,path:n,errorMaps:r,issueData:i}=e,o=[...n,...i.path||[]],s={...i,path:o};let a="";const l=r.filter(u=>!!u).slice().reverse();for(const u of l)a=u(s,{data:t,defaultError:a}).message;return{...i,path:o,message:i.message||a}},dle=[];function Te(e,t){const n=h1({issueData:t,data:e.data,path:e.path,errorMaps:[e.common.contextualErrorMap,e.schemaErrorMap,f1(),cg].filter(r=>!!r)});e.common.issues.push(n)}class Wr{constructor(){this.value="valid"}dirty(){this.value==="valid"&&(this.value="dirty")}abort(){this.value!=="aborted"&&(this.value="aborted")}static mergeArray(t,n){const r=[];for(const i of n){if(i.status==="aborted")return je;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return Wr.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:s}=i;if(o.status==="aborted"||s.status==="aborted")return je;o.status==="dirty"&&t.dirty(),s.status==="dirty"&&t.dirty(),(typeof s.value<"u"||i.alwaysSet)&&(r[o.value]=s.value)}return{status:t.value,value:r}}}const je=Object.freeze({status:"aborted"}),jD=e=>({status:"dirty",value:e}),ui=e=>({status:"valid",value:e}),T3=e=>e.status==="aborted",E3=e=>e.status==="dirty",p1=e=>e.status==="valid",g1=e=>typeof Promise<"u"&&e instanceof Promise;var Le;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(Le||(Le={}));class Ms{constructor(t,n,r,i){this._cachedPath=[],this.parent=t,this.data=n,this._path=r,this._key=i}get path(){return this._cachedPath.length||(this._key instanceof Array?this._cachedPath.push(...this._path,...this._key):this._cachedPath.push(...this._path,this._key)),this._cachedPath}}const M9=(e,t)=>{if(p1(t))return{success:!0,data:t.value};if(!e.common.issues.length)throw new Error("Validation failed but no issues detected.");return{success:!1,get error(){if(this._error)return this._error;const n=new Xo(e.common.issues);return this._error=n,this._error}}};function Qe(e){if(!e)return{};const{errorMap:t,invalid_type_error:n,required_error:r,description:i}=e;if(t&&(n||r))throw new Error(`Can't use "invalid_type_error" or "required_error" in conjunction with custom error map.`);return t?{errorMap:t,description:i}:{errorMap:(s,a)=>s.code!=="invalid_type"?{message:a.defaultError}:typeof a.data>"u"?{message:r??a.defaultError}:{message:n??a.defaultError},description:i}}class tt{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return ml(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:ml(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new Wr,ctx:{common:t.parent.common,data:t.data,parsedType:ml(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(g1(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:ml(t)},o=this._parseSync({data:t,path:i.path,parent:i});return M9(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:ml(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(g1(i)?i:Promise.resolve(i));return M9(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const s=t(i),a=()=>o.addIssue({code:me.custom,...r(i)});return typeof Promise<"u"&&s instanceof Promise?s.then(l=>l?!0:(a(),!1)):s?!0:(a(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new ts({schema:this,typeName:Ue.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return _a.create(this,this._def)}nullable(){return ic.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return Yo.create(this,this._def)}promise(){return xf.create(this,this._def)}or(t){return pg.create([this,t],this._def)}and(t){return gg.create(this,t,this._def)}transform(t){return new ts({...Qe(this._def),schema:this,typeName:Ue.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new bg({...Qe(this._def),innerType:this,defaultValue:n,typeName:Ue.ZodDefault})}brand(){return new HD({typeName:Ue.ZodBranded,type:this,...Qe(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new _1({...Qe(this._def),innerType:this,catchValue:n,typeName:Ue.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return hm.create(this,t)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const fle=/^c[^\s-]{8,}$/i,hle=/^[a-z][a-z0-9]*$/,ple=/[0-9A-HJKMNP-TV-Z]{26}/,gle=/^([a-f0-9]{8}-[a-f0-9]{4}-[1-5][a-f0-9]{3}-[a-f0-9]{4}-[a-f0-9]{12}|00000000-0000-0000-0000-000000000000)$/i,mle=/^(([^<>()[\]\\.,;:\s@\"]+(\.[^<>()[\]\\.,;:\s@\"]+)*)|(\".+\"))@((\[(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\])|(\[IPv6:(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))\])|([A-Za-z0-9]([A-Za-z0-9-]*[A-Za-z0-9])*(\.[A-Za-z]{2,})+))$/,yle=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,vle=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,_le=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,ble=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function Sle(e,t){return!!((t==="v4"||!t)&&vle.test(e)||(t==="v6"||!t)&&_le.test(e))}class Ho extends tt{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:me.invalid_string,...Le.errToObj(r)}),this.nonempty=t=>this.min(1,Le.errToObj(t)),this.trim=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new Ho({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==xe.string){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.string,received:o.parsedType}),je}const r=new Wr;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const s=t.data.length>o.value,a=t.data.length<o.value;(s||a)&&(i=this._getOrReturnCtx(t,i),s?Te(i,{code:me.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):a&&Te(i,{code:me.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")mle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"email",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")yle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"emoji",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")gle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"uuid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")fle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"cuid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")hle.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"cuid2",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")ple.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"ulid",code:me.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),Te(i,{validation:"url",code:me.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"regex",code:me.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?ble(o).test(t.data)||(i=this._getOrReturnCtx(t,i),Te(i,{code:me.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?Sle(t.data,o.version)||(i=this._getOrReturnCtx(t,i),Te(i,{validation:"ip",code:me.invalid_string,message:o.message}),r.dirty()):wt.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new Ho({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...Le.errToObj(t)})}url(t){return this._addCheck({kind:"url",...Le.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...Le.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...Le.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...Le.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...Le.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...Le.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...Le.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...Le.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...Le.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...Le.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...Le.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...Le.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...Le.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...Le.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...Le.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Ho.create=e=>{var t;return new Ho({checks:[],typeName:Ue.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Qe(e)})};function wle(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),s=parseInt(t.toFixed(i).replace(".",""));return o%s/Math.pow(10,i)}class zl extends tt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==xe.number){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.number,received:o.parsedType}),je}let r;const i=new Wr;for(const o of this._def.checks)o.kind==="int"?wt.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Te(r,{code:me.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?wle(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_finite,message:o.message}),i.dirty()):wt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Le.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Le.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Le.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Le.toString(n))}setLimit(t,n,r,i){return new zl({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Le.toString(i)}]})}_addCheck(t){return new zl({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:Le.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:Le.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:Le.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:Le.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:Le.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Le.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:Le.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:Le.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:Le.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&wt.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}zl.create=e=>new zl({checks:[],typeName:Ue.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...Qe(e)});class Vl extends tt{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==xe.bigint){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.bigint,received:o.parsedType}),je}let r;const i=new Wr;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),Te(r,{code:me.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):wt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,Le.toString(n))}gt(t,n){return this.setLimit("min",t,!1,Le.toString(n))}lte(t,n){return this.setLimit("max",t,!0,Le.toString(n))}lt(t,n){return this.setLimit("max",t,!1,Le.toString(n))}setLimit(t,n,r,i){return new Vl({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:Le.toString(i)}]})}_addCheck(t){return new Vl({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:Le.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:Le.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:Le.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:Le.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:Le.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Vl.create=e=>{var t;return new Vl({checks:[],typeName:Ue.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...Qe(e)})};class dg extends tt{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==xe.boolean){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.boolean,received:r.parsedType}),je}return ui(t.data)}}dg.create=e=>new dg({typeName:Ue.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...Qe(e)});class nc extends tt{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==xe.date){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_type,expected:xe.date,received:o.parsedType}),je}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Te(o,{code:me.invalid_date}),je}const r=new Wr;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),Te(i,{code:me.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):wt.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new nc({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:Le.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:Le.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}nc.create=e=>new nc({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:Ue.ZodDate,...Qe(e)});class m1 extends tt{_parse(t){if(this._getType(t)!==xe.symbol){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.symbol,received:r.parsedType}),je}return ui(t.data)}}m1.create=e=>new m1({typeName:Ue.ZodSymbol,...Qe(e)});class fg extends tt{_parse(t){if(this._getType(t)!==xe.undefined){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.undefined,received:r.parsedType}),je}return ui(t.data)}}fg.create=e=>new fg({typeName:Ue.ZodUndefined,...Qe(e)});class hg extends tt{_parse(t){if(this._getType(t)!==xe.null){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.null,received:r.parsedType}),je}return ui(t.data)}}hg.create=e=>new hg({typeName:Ue.ZodNull,...Qe(e)});class wf extends tt{constructor(){super(...arguments),this._any=!0}_parse(t){return ui(t.data)}}wf.create=e=>new wf({typeName:Ue.ZodAny,...Qe(e)});class Gu extends tt{constructor(){super(...arguments),this._unknown=!0}_parse(t){return ui(t.data)}}Gu.create=e=>new Gu({typeName:Ue.ZodUnknown,...Qe(e)});class Oa extends tt{_parse(t){const n=this._getOrReturnCtx(t);return Te(n,{code:me.invalid_type,expected:xe.never,received:n.parsedType}),je}}Oa.create=e=>new Oa({typeName:Ue.ZodNever,...Qe(e)});class y1 extends tt{_parse(t){if(this._getType(t)!==xe.undefined){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.void,received:r.parsedType}),je}return ui(t.data)}}y1.create=e=>new y1({typeName:Ue.ZodVoid,...Qe(e)});class Yo extends tt{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==xe.array)return Te(n,{code:me.invalid_type,expected:xe.array,received:n.parsedType}),je;if(i.exactLength!==null){const s=n.data.length>i.exactLength.value,a=n.data.length<i.exactLength.value;(s||a)&&(Te(n,{code:s?me.too_big:me.too_small,minimum:a?i.exactLength.value:void 0,maximum:s?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(Te(n,{code:me.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(Te(n,{code:me.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((s,a)=>i.type._parseAsync(new Ms(n,s,n.path,a)))).then(s=>Wr.mergeArray(r,s));const o=[...n.data].map((s,a)=>i.type._parseSync(new Ms(n,s,n.path,a)));return Wr.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new Yo({...this._def,minLength:{value:t,message:Le.toString(n)}})}max(t,n){return new Yo({...this._def,maxLength:{value:t,message:Le.toString(n)}})}length(t,n){return new Yo({...this._def,exactLength:{value:t,message:Le.toString(n)}})}nonempty(t){return this.min(1,t)}}Yo.create=(e,t)=>new Yo({type:e,minLength:null,maxLength:null,exactLength:null,typeName:Ue.ZodArray,...Qe(t)});function yd(e){if(e instanceof gn){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=_a.create(yd(r))}return new gn({...e._def,shape:()=>t})}else return e instanceof Yo?new Yo({...e._def,type:yd(e.element)}):e instanceof _a?_a.create(yd(e.unwrap())):e instanceof ic?ic.create(yd(e.unwrap())):e instanceof Ns?Ns.create(e.items.map(t=>yd(t))):e}class gn extends tt{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=wt.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==xe.object){const u=this._getOrReturnCtx(t);return Te(u,{code:me.invalid_type,expected:xe.object,received:u.parsedType}),je}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:s}=this._getCached(),a=[];if(!(this._def.catchall instanceof Oa&&this._def.unknownKeys==="strip"))for(const u in i.data)s.includes(u)||a.push(u);const l=[];for(const u of s){const d=o[u],f=i.data[u];l.push({key:{status:"valid",value:u},value:d._parse(new Ms(i,f,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof Oa){const u=this._def.unknownKeys;if(u==="passthrough")for(const d of a)l.push({key:{status:"valid",value:d},value:{status:"valid",value:i.data[d]}});else if(u==="strict")a.length>0&&(Te(i,{code:me.unrecognized_keys,keys:a}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const d of a){const f=i.data[d];l.push({key:{status:"valid",value:d},value:u._parse(new Ms(i,f,i.path,d)),alwaysSet:d in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const d of l){const f=await d.key;u.push({key:f,value:await d.value,alwaysSet:d.alwaysSet})}return u}).then(u=>Wr.mergeObjectSync(r,u)):Wr.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return Le.errToObj,new gn({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,s,a;const l=(s=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&s!==void 0?s:r.defaultError;return n.code==="unrecognized_keys"?{message:(a=Le.errToObj(t).message)!==null&&a!==void 0?a:l}:{message:l}}}:{}})}strip(){return new gn({...this._def,unknownKeys:"strip"})}passthrough(){return new gn({...this._def,unknownKeys:"passthrough"})}extend(t){return new gn({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new gn({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:Ue.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new gn({...this._def,catchall:t})}pick(t){const n={};return wt.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new gn({...this._def,shape:()=>n})}omit(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new gn({...this._def,shape:()=>n})}deepPartial(){return yd(this)}partial(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new gn({...this._def,shape:()=>n})}required(t){const n={};return wt.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof _a;)o=o._def.innerType;n[r]=o}}),new gn({...this._def,shape:()=>n})}keyof(){return GD(wt.objectKeys(this.shape))}}gn.create=(e,t)=>new gn({shape:()=>e,unknownKeys:"strip",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});gn.strictCreate=(e,t)=>new gn({shape:()=>e,unknownKeys:"strict",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});gn.lazycreate=(e,t)=>new gn({shape:e,unknownKeys:"strip",catchall:Oa.create(),typeName:Ue.ZodObject,...Qe(t)});class pg extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const a of o)if(a.result.status==="valid")return a.result;for(const a of o)if(a.result.status==="dirty")return n.common.issues.push(...a.ctx.common.issues),a.result;const s=o.map(a=>new Xo(a.ctx.common.issues));return Te(n,{code:me.invalid_union,unionErrors:s}),je}if(n.common.async)return Promise.all(r.map(async o=>{const s={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:s}),ctx:s}})).then(i);{let o;const s=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},d=l._parseSync({data:n.data,path:n.path,parent:u});if(d.status==="valid")return d;d.status==="dirty"&&!o&&(o={result:d,ctx:u}),u.common.issues.length&&s.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const a=s.map(l=>new Xo(l));return Te(n,{code:me.invalid_union,unionErrors:a}),je}}get options(){return this._def.options}}pg.create=(e,t)=>new pg({options:e,typeName:Ue.ZodUnion,...Qe(t)});const cv=e=>e instanceof yg?cv(e.schema):e instanceof ts?cv(e.innerType()):e instanceof vg?[e.value]:e instanceof jl?e.options:e instanceof _g?Object.keys(e.enum):e instanceof bg?cv(e._def.innerType):e instanceof fg?[void 0]:e instanceof hg?[null]:null;class ib extends tt{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.object)return Te(n,{code:me.invalid_type,expected:xe.object,received:n.parsedType}),je;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(Te(n,{code:me.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),je)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const s=cv(o.shape[t]);if(!s)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const a of s){if(i.has(a))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(a)}`);i.set(a,o)}}return new ib({typeName:Ue.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...Qe(r)})}}function A3(e,t){const n=ml(e),r=ml(t);if(e===t)return{valid:!0,data:e};if(n===xe.object&&r===xe.object){const i=wt.objectKeys(t),o=wt.objectKeys(e).filter(a=>i.indexOf(a)!==-1),s={...e,...t};for(const a of o){const l=A3(e[a],t[a]);if(!l.valid)return{valid:!1};s[a]=l.data}return{valid:!0,data:s}}else if(n===xe.array&&r===xe.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const s=e[o],a=t[o],l=A3(s,a);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===xe.date&&r===xe.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class gg extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,s)=>{if(T3(o)||T3(s))return je;const a=A3(o.value,s.value);return a.valid?((E3(o)||E3(s))&&n.dirty(),{status:n.value,value:a.data}):(Te(r,{code:me.invalid_intersection_types}),je)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,s])=>i(o,s)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}gg.create=(e,t,n)=>new gg({left:e,right:t,typeName:Ue.ZodIntersection,...Qe(n)});class Ns extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.array)return Te(r,{code:me.invalid_type,expected:xe.array,received:r.parsedType}),je;if(r.data.length<this._def.items.length)return Te(r,{code:me.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),je;!this._def.rest&&r.data.length>this._def.items.length&&(Te(r,{code:me.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((s,a)=>{const l=this._def.items[a]||this._def.rest;return l?l._parse(new Ms(r,s,r.path,a)):null}).filter(s=>!!s);return r.common.async?Promise.all(o).then(s=>Wr.mergeArray(n,s)):Wr.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new Ns({...this._def,rest:t})}}Ns.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new Ns({items:e,typeName:Ue.ZodTuple,rest:null,...Qe(t)})};class mg extends tt{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.object)return Te(r,{code:me.invalid_type,expected:xe.object,received:r.parsedType}),je;const i=[],o=this._def.keyType,s=this._def.valueType;for(const a in r.data)i.push({key:o._parse(new Ms(r,a,r.path,a)),value:s._parse(new Ms(r,r.data[a],r.path,a))});return r.common.async?Wr.mergeObjectAsync(n,i):Wr.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof tt?new mg({keyType:t,valueType:n,typeName:Ue.ZodRecord,...Qe(r)}):new mg({keyType:Ho.create(),valueType:t,typeName:Ue.ZodRecord,...Qe(n)})}}class v1 extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.map)return Te(r,{code:me.invalid_type,expected:xe.map,received:r.parsedType}),je;const i=this._def.keyType,o=this._def.valueType,s=[...r.data.entries()].map(([a,l],u)=>({key:i._parse(new Ms(r,a,r.path,[u,"key"])),value:o._parse(new Ms(r,l,r.path,[u,"value"]))}));if(r.common.async){const a=new Map;return Promise.resolve().then(async()=>{for(const l of s){const u=await l.key,d=await l.value;if(u.status==="aborted"||d.status==="aborted")return je;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}})}else{const a=new Map;for(const l of s){const u=l.key,d=l.value;if(u.status==="aborted"||d.status==="aborted")return je;(u.status==="dirty"||d.status==="dirty")&&n.dirty(),a.set(u.value,d.value)}return{status:n.value,value:a}}}}v1.create=(e,t,n)=>new v1({valueType:t,keyType:e,typeName:Ue.ZodMap,...Qe(n)});class rc extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==xe.set)return Te(r,{code:me.invalid_type,expected:xe.set,received:r.parsedType}),je;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(Te(r,{code:me.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(Te(r,{code:me.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function s(l){const u=new Set;for(const d of l){if(d.status==="aborted")return je;d.status==="dirty"&&n.dirty(),u.add(d.value)}return{status:n.value,value:u}}const a=[...r.data.values()].map((l,u)=>o._parse(new Ms(r,l,r.path,u)));return r.common.async?Promise.all(a).then(l=>s(l)):s(a)}min(t,n){return new rc({...this._def,minSize:{value:t,message:Le.toString(n)}})}max(t,n){return new rc({...this._def,maxSize:{value:t,message:Le.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}rc.create=(e,t)=>new rc({valueType:e,minSize:null,maxSize:null,typeName:Ue.ZodSet,...Qe(t)});class Jd extends tt{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.function)return Te(n,{code:me.invalid_type,expected:xe.function,received:n.parsedType}),je;function r(a,l){return h1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,f1(),cg].filter(u=>!!u),issueData:{code:me.invalid_arguments,argumentsError:l}})}function i(a,l){return h1({data:a,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,f1(),cg].filter(u=>!!u),issueData:{code:me.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},s=n.data;return this._def.returns instanceof xf?ui(async(...a)=>{const l=new Xo([]),u=await this._def.args.parseAsync(a,o).catch(p=>{throw l.addIssue(r(a,p)),l}),d=await s(...u);return await this._def.returns._def.type.parseAsync(d,o).catch(p=>{throw l.addIssue(i(d,p)),l})}):ui((...a)=>{const l=this._def.args.safeParse(a,o);if(!l.success)throw new Xo([r(a,l.error)]);const u=s(...l.data),d=this._def.returns.safeParse(u,o);if(!d.success)throw new Xo([i(u,d.error)]);return d.data})}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new Jd({...this._def,args:Ns.create(t).rest(Gu.create())})}returns(t){return new Jd({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new Jd({args:t||Ns.create([]).rest(Gu.create()),returns:n||Gu.create(),typeName:Ue.ZodFunction,...Qe(r)})}}class yg extends tt{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}yg.create=(e,t)=>new yg({getter:e,typeName:Ue.ZodLazy,...Qe(t)});class vg extends tt{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Te(n,{received:n.data,code:me.invalid_literal,expected:this._def.value}),je}return{status:"valid",value:t.data}}get value(){return this._def.value}}vg.create=(e,t)=>new vg({value:e,typeName:Ue.ZodLiteral,...Qe(t)});function GD(e,t){return new jl({values:e,typeName:Ue.ZodEnum,...Qe(t)})}class jl extends tt{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Te(n,{expected:wt.joinValues(r),received:n.parsedType,code:me.invalid_type}),je}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Te(n,{received:n.data,code:me.invalid_enum_value,options:r}),je}return ui(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return jl.create(t)}exclude(t){return jl.create(this.options.filter(n=>!t.includes(n)))}}jl.create=GD;class _g extends tt{_parse(t){const n=wt.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==xe.string&&r.parsedType!==xe.number){const i=wt.objectValues(n);return Te(r,{expected:wt.joinValues(i),received:r.parsedType,code:me.invalid_type}),je}if(n.indexOf(t.data)===-1){const i=wt.objectValues(n);return Te(r,{received:r.data,code:me.invalid_enum_value,options:i}),je}return ui(t.data)}get enum(){return this._def.values}}_g.create=(e,t)=>new _g({values:e,typeName:Ue.ZodNativeEnum,...Qe(t)});class xf extends tt{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==xe.promise&&n.common.async===!1)return Te(n,{code:me.invalid_type,expected:xe.promise,received:n.parsedType}),je;const r=n.parsedType===xe.promise?n.data:Promise.resolve(n.data);return ui(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}xf.create=(e,t)=>new xf({type:e,typeName:Ue.ZodPromise,...Qe(t)});class ts extends tt{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===Ue.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null;if(i.type==="preprocess"){const s=i.transform(r.data);return r.common.async?Promise.resolve(s).then(a=>this._def.schema._parseAsync({data:a,path:r.path,parent:r})):this._def.schema._parseSync({data:s,path:r.path,parent:r})}const o={addIssue:s=>{Te(r,s),s.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="refinement"){const s=a=>{const l=i.refinement(a,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return a};if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return a.status==="aborted"?je:(a.status==="dirty"&&n.dirty(),s(a.value),{status:n.value,value:a.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>a.status==="aborted"?je:(a.status==="dirty"&&n.dirty(),s(a.value).then(()=>({status:n.value,value:a.value}))))}if(i.type==="transform")if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!p1(s))return s;const a=i.transform(s.value,o);if(a instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:a}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>p1(s)?Promise.resolve(i.transform(s.value,o)).then(a=>({status:n.value,value:a})):s);wt.assertNever(i)}}ts.create=(e,t,n)=>new ts({schema:e,typeName:Ue.ZodEffects,effect:t,...Qe(n)});ts.createWithPreprocess=(e,t,n)=>new ts({schema:t,effect:{type:"preprocess",transform:e},typeName:Ue.ZodEffects,...Qe(n)});class _a extends tt{_parse(t){return this._getType(t)===xe.undefined?ui(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}_a.create=(e,t)=>new _a({innerType:e,typeName:Ue.ZodOptional,...Qe(t)});class ic extends tt{_parse(t){return this._getType(t)===xe.null?ui(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}ic.create=(e,t)=>new ic({innerType:e,typeName:Ue.ZodNullable,...Qe(t)});class bg extends tt{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===xe.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}bg.create=(e,t)=>new bg({innerType:e,typeName:Ue.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...Qe(t)});class _1 extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return g1(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new Xo(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new Xo(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}_1.create=(e,t)=>new _1({innerType:e,typeName:Ue.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...Qe(t)});class b1 extends tt{_parse(t){if(this._getType(t)!==xe.nan){const r=this._getOrReturnCtx(t);return Te(r,{code:me.invalid_type,expected:xe.nan,received:r.parsedType}),je}return{status:"valid",value:t.data}}}b1.create=e=>new b1({typeName:Ue.ZodNaN,...Qe(e)});const xle=Symbol("zod_brand");class HD extends tt{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class hm extends tt{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?je:o.status==="dirty"?(n.dirty(),jD(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?je:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new hm({in:t,out:n,typeName:Ue.ZodPipeline})}}const WD=(e,t={},n)=>e?wf.create().superRefine((r,i)=>{var o,s;if(!e(r)){const a=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(s=(o=a.fatal)!==null&&o!==void 0?o:n)!==null&&s!==void 0?s:!0,u=typeof a=="string"?{message:a}:a;i.addIssue({code:"custom",...u,fatal:l})}}):wf.create(),Cle={object:gn.lazycreate};var Ue;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline"})(Ue||(Ue={}));const Tle=(e,t={message:`Input not instance of ${e.name}`})=>WD(n=>n instanceof e,t),qD=Ho.create,KD=zl.create,Ele=b1.create,Ale=Vl.create,XD=dg.create,Ple=nc.create,Rle=m1.create,Ole=fg.create,kle=hg.create,Ile=wf.create,Mle=Gu.create,Nle=Oa.create,Lle=y1.create,Dle=Yo.create,$le=gn.create,Fle=gn.strictCreate,Ble=pg.create,Ule=ib.create,zle=gg.create,Vle=Ns.create,jle=mg.create,Gle=v1.create,Hle=rc.create,Wle=Jd.create,qle=yg.create,Kle=vg.create,Xle=jl.create,Yle=_g.create,Qle=xf.create,N9=ts.create,Zle=_a.create,Jle=ic.create,eue=ts.createWithPreprocess,tue=hm.create,nue=()=>qD().optional(),rue=()=>KD().optional(),iue=()=>XD().optional(),oue={string:e=>Ho.create({...e,coerce:!0}),number:e=>zl.create({...e,coerce:!0}),boolean:e=>dg.create({...e,coerce:!0}),bigint:e=>Vl.create({...e,coerce:!0}),date:e=>nc.create({...e,coerce:!0})},sue=je;var xt=Object.freeze({__proto__:null,defaultErrorMap:cg,setErrorMap:cle,getErrorMap:f1,makeIssue:h1,EMPTY_PATH:dle,addIssueToContext:Te,ParseStatus:Wr,INVALID:je,DIRTY:jD,OK:ui,isAborted:T3,isDirty:E3,isValid:p1,isAsync:g1,get util(){return wt},get objectUtil(){return C3},ZodParsedType:xe,getParsedType:ml,ZodType:tt,ZodString:Ho,ZodNumber:zl,ZodBigInt:Vl,ZodBoolean:dg,ZodDate:nc,ZodSymbol:m1,ZodUndefined:fg,ZodNull:hg,ZodAny:wf,ZodUnknown:Gu,ZodNever:Oa,ZodVoid:y1,ZodArray:Yo,ZodObject:gn,ZodUnion:pg,ZodDiscriminatedUnion:ib,ZodIntersection:gg,ZodTuple:Ns,ZodRecord:mg,ZodMap:v1,ZodSet:rc,ZodFunction:Jd,ZodLazy:yg,ZodLiteral:vg,ZodEnum:jl,ZodNativeEnum:_g,ZodPromise:xf,ZodEffects:ts,ZodTransformer:ts,ZodOptional:_a,ZodNullable:ic,ZodDefault:bg,ZodCatch:_1,ZodNaN:b1,BRAND:xle,ZodBranded:HD,ZodPipeline:hm,custom:WD,Schema:tt,ZodSchema:tt,late:Cle,get ZodFirstPartyTypeKind(){return Ue},coerce:oue,any:Ile,array:Dle,bigint:Ale,boolean:XD,date:Ple,discriminatedUnion:Ule,effect:N9,enum:Xle,function:Wle,instanceof:Tle,intersection:zle,lazy:qle,literal:Kle,map:Gle,nan:Ele,nativeEnum:Yle,never:Nle,null:kle,nullable:Jle,number:KD,object:$le,oboolean:iue,onumber:rue,optional:Zle,ostring:nue,pipeline:tue,preprocess:eue,promise:Qle,record:jle,set:Hle,strictObject:Fle,string:qD,symbol:Rle,transformer:N9,tuple:Vle,undefined:Ole,union:Ble,unknown:Mle,void:Lle,NEVER:sue,ZodIssueCode:me,quotelessJson:ule,ZodError:Xo});const aue=xt.string(),oRe=e=>aue.safeParse(e).success,lue=xt.string(),sRe=e=>lue.safeParse(e).success,uue=xt.string(),aRe=e=>uue.safeParse(e).success,cue=xt.string(),lRe=e=>cue.safeParse(e).success,due=xt.number().int().min(1),uRe=e=>due.safeParse(e).success,fue=xt.number().min(1),cRe=e=>fue.safeParse(e).success,hue=xt.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),dRe=e=>hue.safeParse(e).success,fRe={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler Ancestral",kdpm_2_a:"KDPM 2 Ancestral"},pue=xt.number().int().min(0).max(lle),hRe=e=>pue.safeParse(e).success,gue=xt.number().multipleOf(8).min(64),pRe=e=>gue.safeParse(e).success,mue=xt.number().multipleOf(8).min(64),gRe=e=>mue.safeParse(e).success,pm=xt.enum(["sd-1","sd-2","sdxl","sdxl-refiner"]),ST=xt.object({model_name:xt.string().min(1),base_model:pm,model_type:xt.literal("main")}),mRe=e=>ST.safeParse(e).success,YD=xt.object({model_name:xt.string().min(1),base_model:xt.literal("sdxl-refiner"),model_type:xt.literal("main")}),yRe=e=>YD.safeParse(e).success,yue=xt.object({model_name:xt.string().min(1),base_model:pm,model_type:xt.literal("onnx")}),QD=xt.union([ST,yue]),vue=xt.object({model_name:xt.string().min(1),base_model:pm}),vRe=xt.object({model_name:xt.string().min(1),base_model:pm}),_Re=xt.object({model_name:xt.string().min(1),base_model:pm}),_ue=xt.number().min(0).max(1),bRe=e=>_ue.safeParse(e).success;xt.enum(["fp16","fp32"]);const bue=xt.number().min(1).max(10),SRe=e=>bue.safeParse(e).success,Sue=xt.number().min(0).max(1),wRe=e=>Sue.safeParse(e).success,Da={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",seamBlur:16,seamSize:96,seamSteps:30,seamStrength:.7,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,shouldUseNoiseSettings:!1,steps:50,threshold:0,tileSize:32,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null},wue=Da,ZD=yn({name:"generation",initialState:wue,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=bl(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=bl(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...Da}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 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n.count!="string",E=X1.hasDefaultValue(n),P=T?this.pluralResolver.getSuffix(u,n.count,n):"",k=n.ordinal&&T?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",O=n[`defaultValue${P}`]||n[`defaultValue${k}`]||n.defaultValue;!this.isValidLookup(p)&&E&&(S=!0,p=O),this.isValidLookup(p)||(C=!0,p=s);const G=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&C?void 0:p,U=E&&O!==p&&this.options.updateMissing;if(C||S||U){if(this.logger.log(U?"updateKey":"missingKey",u,l,s,U?O:p),o){const B=this.resolve(s,{...n,keySeparator:!1});B&&B.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. 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i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function Rx(e){return e.charAt(0).toUpperCase()+e.slice(1)}class _O{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=Cs.create("languageUtils")}getScriptPartFromCode(t){if(t=K1(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=K1(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Rx(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=Rx(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=Rx(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=s=>{s&&(this.isSupportedCode(s)?i.push(s):this.logger.warn(`rejecting language code not found in supportedLngs: ${s}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(s=>{i.indexOf(s)<0&&o(this.formatLanguageCode(s))}),i}}let n1e=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],r1e={1:function(e){return+(e>1)},2:function(e){return+(e!=1)},3:function(e){return 0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const i1e=["v1","v2","v3"],o1e=["v4"],bO={zero:0,one:1,two:2,few:3,many:4,other:5};function s1e(){const e={};return n1e.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:r1e[t.fc]}})}),e}class a1e{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=Cs.create("pluralResolver"),(!this.options.compatibilityJSON||o1e.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. Will fallback to the compatibilityJSON v3 format handling.")),this.rules=s1e()}addRule(t,n){this.rules[t]=n}getRule(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(this.shouldUseIntlApi())try{return new Intl.PluralRules(K1(t),{type:n.ordinal?"ordinal":"cardinal"})}catch{return}return this.rules[t]||this.rules[this.languageUtils.getLanguagePartFromCode(t)]}needsPlural(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return this.shouldUseIntlApi()?r&&r.resolvedOptions().pluralCategories.length>1:r&&r.numbers.length>1}getPluralFormsOfKey(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};return this.getSuffixes(t,r).map(i=>`${n}${i}`)}getSuffixes(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>bO[i]-bO[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof i=="number"?`_plural_${i.toString()}`:o():this.options.compatibilityJSON==="v2"||this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1?o():this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString()}shouldUseIntlApi(){return!i1e.includes(this.options.compatibilityJSON)}}function SO(e,t,n){let r=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=Qve(e,t,n);return!o&&i&&typeof n=="string"&&(o=q1(e,n,r),o===void 0&&(o=q1(t,n,r))),o}class l1e{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Cs.create("interpolator"),this.options=t,this.format=t.interpolation&&t.interpolation.format||(n=>n),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const n=t.interpolation;this.escape=n.escape!==void 0?n.escape:Jve,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?ld(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?ld(n.suffix):n.suffixEscaped||"}}",this.formatSeparator=n.formatSeparator?n.formatSeparator:n.formatSeparator||",",this.unescapePrefix=n.unescapeSuffix?"":n.unescapePrefix||"-",this.unescapeSuffix=this.unescapePrefix?"":n.unescapeSuffix||"",this.nestingPrefix=n.nestingPrefix?ld(n.nestingPrefix):n.nestingPrefixEscaped||ld("$t("),this.nestingSuffix=n.nestingSuffix?ld(n.nestingSuffix):n.nestingSuffixEscaped||ld(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${this.prefix}(.+?)${this.suffix}`;this.regexp=new RegExp(t,"g");const n=`${this.prefix}${this.unescapePrefix}(.+?)${this.unescapeSuffix}${this.suffix}`;this.regexpUnescape=new RegExp(n,"g");const r=`${this.nestingPrefix}(.+?)${this.nestingSuffix}`;this.nestingRegexp=new RegExp(r,"g")}interpolate(t,n,r,i){let o,s,a;const l=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{};function u(m){return m.replace(/\$/g,"$$$$")}const d=m=>{if(m.indexOf(this.formatSeparator)<0){const b=SO(n,l,m,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(b,void 0,r,{...i,...n,interpolationkey:m}):b}const v=m.split(this.formatSeparator),x=v.shift().trim(),_=v.join(this.formatSeparator).trim();return this.format(SO(n,l,x,this.options.keySeparator,this.options.ignoreJSONStructure),_,r,{...i,...n,interpolationkey:x})};this.resetRegExp();const f=i&&i.missingInterpolationHandler||this.options.missingInterpolationHandler,p=i&&i.interpolation&&i.interpolation.skipOnVariables!==void 0?i.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:m=>u(m)},{regex:this.regexp,safeValue:m=>this.escapeValue?u(this.escape(m)):u(m)}].forEach(m=>{for(a=0;o=m.regex.exec(t);){const v=o[1].trim();if(s=d(v),s===void 0)if(typeof f=="function"){const _=f(t,o,i);s=typeof _=="string"?_:""}else if(i&&Object.prototype.hasOwnProperty.call(i,v))s="";else if(p){s=o[0];continue}else this.logger.warn(`missed to pass in variable ${v} for interpolating ${t}`),s="";else typeof s!="string"&&!this.useRawValueToEscape&&(s=gO(s));const x=m.safeValue(s);if(t=t.replace(o[0],x),p?(m.regex.lastIndex+=s.length,m.regex.lastIndex-=o[0].length):m.regex.lastIndex=0,a++,a>=this.maxReplaces)break}}),t}nest(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i,o,s;function a(l,u){const d=this.nestingOptionsSeparator;if(l.indexOf(d)<0)return l;const f=l.split(new RegExp(`${d}[ ]*{`));let p=`{${f[1]}`;l=f[0],p=this.interpolate(p,s);const g=p.match(/'/g),m=p.match(/"/g);(g&&g.length%2===0&&!m||m.length%2!==0)&&(p=p.replace(/'/g,'"'));try{s=JSON.parse(p),u&&(s={...u,...s})}catch(v){return this.logger.warn(`failed parsing options string in nesting for key ${l}`,v),`${l}${d}${p}`}return delete s.defaultValue,l}for(;i=this.nestingRegexp.exec(t);){let l=[];s={...r},s=s.replace&&typeof s.replace!="string"?s.replace:s,s.applyPostProcessor=!1,delete s.defaultValue;let u=!1;if(i[0].indexOf(this.formatSeparator)!==-1&&!/{.*}/.test(i[1])){const d=i[1].split(this.formatSeparator).map(f=>f.trim());i[1]=d.shift(),l=d,u=!0}if(o=n(a.call(this,i[1].trim(),s),s),o&&i[0]===t&&typeof o!="string")return o;typeof o!="string"&&(o=gO(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((d,f)=>this.format(d,f,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function u1e(e){let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(s=>{if(!s)return;const[a,...l]=s.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[a.trim()]||(n[a.trim()]=u),u==="false"&&(n[a.trim()]=!1),u==="true"&&(n[a.trim()]=!0),isNaN(u)||(n[a.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function ud(e){const t={};return function(r,i,o){const s=i+JSON.stringify(o);let a=t[s];return a||(a=e(K1(i),o),t[s]=a),a(r)}}class c1e{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=Cs.create("formatter"),this.options=t,this.formats={number:ud((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:ud((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return o=>i.format(o)}),datetime:ud((n,r)=>{const i=new Intl.DateTimeFormat(n,{...r});return o=>i.format(o)}),relativetime:ud((n,r)=>{const i=new Intl.RelativeTimeFormat(n,{...r});return o=>i.format(o,r.range||"day")}),list:ud((n,r)=>{const i=new Intl.ListFormat(n,{...r});return o=>i.format(o)})},this.init(t)}init(t){const r=(arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}}).interpolation;this.formatSeparator=r.formatSeparator?r.formatSeparator:r.formatSeparator||","}add(t,n){this.formats[t.toLowerCase().trim()]=n}addCached(t,n){this.formats[t.toLowerCase().trim()]=ud(n)}format(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return n.split(this.formatSeparator).reduce((a,l)=>{const{formatName:u,formatOptions:d}=u1e(l);if(this.formats[u]){let f=a;try{const p=i&&i.formatParams&&i.formatParams[i.interpolationkey]||{},g=p.locale||p.lng||i.locale||i.lng||r;f=this.formats[u](a,g,{...d,...i,...p})}catch(p){this.logger.warn(p)}return f}else this.logger.warn(`there was no format function for ${u}`);return a},t)}}function d1e(e,t){e.pending[t]!==void 0&&(delete e.pending[t],e.pendingCount--)}class f1e extends eS{constructor(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};super(),this.backend=t,this.store=n,this.services=r,this.languageUtils=r.languageUtils,this.options=i,this.logger=Cs.create("backendConnector"),this.waitingReads=[],this.maxParallelReads=i.maxParallelReads||10,this.readingCalls=0,this.maxRetries=i.maxRetries>=0?i.maxRetries:5,this.retryTimeout=i.retryTimeout>=1?i.retryTimeout:350,this.state={},this.queue=[],this.backend&&this.backend.init&&this.backend.init(r,i.backend,i)}queueLoad(t,n,r,i){const o={},s={},a={},l={};return t.forEach(u=>{let d=!0;n.forEach(f=>{const p=`${u}|${f}`;!r.reload&&this.store.hasResourceBundle(u,f)?this.state[p]=2:this.state[p]<0||(this.state[p]===1?s[p]===void 0&&(s[p]=!0):(this.state[p]=1,d=!1,s[p]===void 0&&(s[p]=!0),o[p]===void 0&&(o[p]=!0),l[f]===void 0&&(l[f]=!0)))}),d||(a[u]=!0)}),(Object.keys(o).length||Object.keys(s).length)&&this.queue.push({pending:s,pendingCount:Object.keys(s).length,loaded:{},errors:[],callback:i}),{toLoad:Object.keys(o),pending:Object.keys(s),toLoadLanguages:Object.keys(a),toLoadNamespaces:Object.keys(l)}}loaded(t,n,r){const i=t.split("|"),o=i[0],s=i[1];n&&this.emit("failedLoading",o,s,n),r&&this.store.addResourceBundle(o,s,r),this.state[t]=n?-1:2;const a={};this.queue.forEach(l=>{Yve(l.loaded,[o],s),d1e(l,t),n&&l.errors.push(n),l.pendingCount===0&&!l.done&&(Object.keys(l.loaded).forEach(u=>{a[u]||(a[u]={});const d=l.loaded[u];d.length&&d.forEach(f=>{a[u][f]===void 0&&(a[u][f]=!0)})}),l.done=!0,l.errors.length?l.callback(l.errors):l.callback())}),this.emit("loaded",a),this.queue=this.queue.filter(l=>!l.done)}read(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:0,o=arguments.length>4&&arguments[4]!==void 0?arguments[4]:this.retryTimeout,s=arguments.length>5?arguments[5]:void 0;if(!t.length)return s(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:t,ns:n,fcName:r,tried:i,wait:o,callback:s});return}this.readingCalls++;const a=(u,d)=>{if(this.readingCalls--,this.waitingReads.length>0){const f=this.waitingReads.shift();this.read(f.lng,f.ns,f.fcName,f.tried,f.wait,f.callback)}if(u&&d&&i<this.maxRetries){setTimeout(()=>{this.read.call(this,t,n,r,i+1,o*2,s)},o);return}s(u,d)},l=this.backend[r].bind(this.backend);if(l.length===2){try{const u=l(t,n);u&&typeof u.then=="function"?u.then(d=>a(null,d)).catch(a):a(null,u)}catch(u){a(u)}return}return l(t,n,a)}prepareLoading(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i=arguments.length>3?arguments[3]:void 0;if(!this.backend)return this.logger.warn("No backend was added via i18next.use. Will not load resources."),i&&i();typeof t=="string"&&(t=this.languageUtils.toResolveHierarchy(t)),typeof n=="string"&&(n=[n]);const o=this.queueLoad(t,n,r,i);if(!o.toLoad.length)return o.pending.length||i(),null;o.toLoad.forEach(s=>{this.loadOne(s)})}load(t,n,r){this.prepareLoading(t,n,{},r)}reload(t,n,r){this.prepareLoading(t,n,{reload:!0},r)}loadOne(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:"";const r=t.split("|"),i=r[0],o=r[1];this.read(i,o,"read",void 0,void 0,(s,a)=>{s&&this.logger.warn(`${n}loading namespace ${o} for language ${i} failed`,s),!s&&a&&this.logger.log(`${n}loaded namespace ${o} for language ${i}`,a),this.loaded(t,s,a)})}saveMissing(t,n,r,i,o){let s=arguments.length>5&&arguments[5]!==void 0?arguments[5]:{},a=arguments.length>6&&arguments[6]!==void 0?arguments[6]:()=>{};if(this.services.utils&&this.services.utils.hasLoadedNamespace&&!this.services.utils.hasLoadedNamespace(n)){this.logger.warn(`did not save key "${r}" as the namespace "${n}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...s,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let d;u.length===5?d=u(t,n,r,i,l):d=u(t,n,r,i),d&&typeof d.then=="function"?d.then(f=>a(null,f)).catch(a):a(null,d)}catch(d){a(d)}else u(t,n,r,i,a,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function wO(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function xO(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function R0(){}function h1e(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class Mg extends eS{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=xO(t),this.services={},this.logger=Cs,this.modules={external:[]},h1e(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=wO();this.options={...i,...this.options,...xO(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(d){return d?typeof d=="function"?new d:d:null}if(!this.options.isClone){this.modules.logger?Cs.init(o(this.modules.logger),this.options):Cs.init(null,this.options);let d;this.modules.formatter?d=this.modules.formatter:typeof Intl<"u"&&(d=c1e);const f=new _O(this.options);this.store=new yO(this.options.resources,this.options);const p=this.services;p.logger=Cs,p.resourceStore=this.store,p.languageUtils=f,p.pluralResolver=new a1e(f,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),d&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(p.formatter=o(d),p.formatter.init(p,this.options),this.options.interpolation.format=p.formatter.format.bind(p.formatter)),p.interpolator=new l1e(this.options),p.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},p.backendConnector=new f1e(o(this.modules.backend),p.resourceStore,p,this.options),p.backendConnector.on("*",function(g){for(var m=arguments.length,v=new Array(m>1?m-1:0),x=1;x<m;x++)v[x-1]=arguments[x];t.emit(g,...v)}),this.modules.languageDetector&&(p.languageDetector=o(this.modules.languageDetector),p.languageDetector.init&&p.languageDetector.init(p,this.options.detection,this.options)),this.modules.i18nFormat&&(p.i18nFormat=o(this.modules.i18nFormat),p.i18nFormat.init&&p.i18nFormat.init(this)),this.translator=new X1(this.services,this.options),this.translator.on("*",function(g){for(var m=arguments.length,v=new Array(m>1?m-1:0),x=1;x<m;x++)v[x-1]=arguments[x];t.emit(g,...v)}),this.modules.external.forEach(g=>{g.init&&g.init(this)})}if(this.format=this.options.interpolation.format,r||(r=R0),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const d=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);d.length>0&&d[0]!=="dev"&&(this.options.lng=d[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is defined"),["getResource","hasResourceBundle","getResourceBundle","getDataByLanguage"].forEach(d=>{this[d]=function(){return t.store[d](...arguments)}}),["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(d=>{this[d]=function(){return t.store[d](...arguments),t}});const l=Xh(),u=()=>{const d=(f,p)=>{this.isInitialized&&!this.initializedStoreOnce&&this.logger.warn("init: i18next is already initialized. You should call init just once!"),this.isInitialized=!0,this.options.isClone||this.logger.log("initialized",this.options),this.emit("initialized",this.options),l.resolve(p),r(f,p)};if(this.languages&&this.options.compatibilityAPI!=="v1"&&!this.isInitialized)return d(null,this.t.bind(this));this.changeLanguage(this.options.lng,d)};return this.options.resources||!this.options.initImmediate?u():setTimeout(u,0),l}loadResources(t){let r=arguments.length>1&&arguments[1]!==void 0?arguments[1]:R0;const i=typeof t=="string"?t:this.language;if(typeof t=="function"&&(r=t),!this.options.resources||this.options.partialBundledLanguages){if(i&&i.toLowerCase()==="cimode")return r();const o=[],s=a=>{if(!a)return;this.services.languageUtils.toResolveHierarchy(a).forEach(u=>{o.indexOf(u)<0&&o.push(u)})};i?s(i):this.services.languageUtils.getFallbackCodes(this.options.fallbackLng).forEach(l=>s(l)),this.options.preload&&this.options.preload.forEach(a=>s(a)),this.services.backendConnector.load(o,this.options.ns,a=>{!a&&!this.resolvedLanguage&&this.language&&this.setResolvedLanguage(this.language),r(a)})}else r(null)}reloadResources(t,n,r){const i=Xh();return t||(t=this.languages),n||(n=this.options.ns),r||(r=R0),this.services.backendConnector.reload(t,n,o=>{i.resolve(),r(o)}),i}use(t){if(!t)throw new Error("You are passing an undefined module! Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&wU.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1))for(let n=0;n<this.languages.length;n++){const r=this.languages[n];if(!(["cimode","dev"].indexOf(r)>-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=Xh();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},s=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},a=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,d=>{s(d,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?a(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(a):this.services.languageDetector.detect(a):a(t),i}getFixedT(t,n,r){var i=this;const o=function(s,a){let l;if(typeof a!="object"){for(var u=arguments.length,d=new Array(u>2?u-2:0),f=2;f<u;f++)d[f-2]=arguments[f];l=i.options.overloadTranslationOptionHandler([s,a].concat(d))}else l={...a};l.lng=l.lng||o.lng,l.lngs=l.lngs||o.lngs,l.ns=l.ns||o.ns,l.keyPrefix=l.keyPrefix||r||o.keyPrefix;const p=i.options.keySeparator||".";let g;return l.keyPrefix&&Array.isArray(s)?g=s.map(m=>`${l.keyPrefix}${p}${m}`):g=l.keyPrefix?`${l.keyPrefix}${p}${s}`:s,i.t(g,l)};return typeof t=="string"?o.lng=t:o.lngs=t,o.ns=n,o.keyPrefix=r,o}t(){return this.translator&&this.translator.translate(...arguments)}exists(){return this.translator&&this.translator.exists(...arguments)}setDefaultNamespace(t){this.options.defaultNS=t}hasLoadedNamespace(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(!this.isInitialized)return this.logger.warn("hasLoadedNamespace: i18next was not initialized",this.languages),!1;if(!this.languages||!this.languages.length)return this.logger.warn("hasLoadedNamespace: i18n.languages were undefined or empty",this.languages),!1;const r=n.lng||this.resolvedLanguage||this.languages[0],i=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(r.toLowerCase()==="cimode")return!0;const s=(a,l)=>{const u=this.services.backendConnector.state[`${a}|${l}`];return u===-1||u===2};if(n.precheck){const a=n.precheck(this,s);if(a!==void 0)return a}return!!(this.hasResourceBundle(r,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||s(r,t)&&(!i||s(o,t)))}loadNamespaces(t,n){const r=Xh();return this.options.ns?(typeof t=="string"&&(t=[t]),t.forEach(i=>{this.options.ns.indexOf(i)<0&&this.options.ns.push(i)}),this.loadResources(i=>{r.resolve(),n&&n(i)}),r):(n&&n(),Promise.resolve())}loadLanguages(t,n){const r=Xh();typeof t=="string"&&(t=[t]);const i=this.options.preload||[],o=t.filter(s=>i.indexOf(s)<0);return o.length?(this.options.preload=i.concat(o),this.loadResources(s=>{r.resolve(),n&&n(s)}),r):(n&&n(),Promise.resolve())}dir(t){if(t||(t=this.resolvedLanguage||(this.languages&&this.languages.length>0?this.languages[0]:this.language)),!t)return"rtl";const n=["ar","shu","sqr","ssh","xaa","yhd","yud","aao","abh","abv","acm","acq","acw","acx","acy","adf","ads","aeb","aec","afb","ajp","apc","apd","arb","arq","ars","ary","arz","auz","avl","ayh","ayl","ayn","ayp","bbz","pga","he","iw","ps","pbt","pbu","pst","prp","prd","ug","ur","ydd","yds","yih","ji","yi","hbo","men","xmn","fa","jpr","peo","pes","prs","dv","sam","ckb"],r=this.services&&this.services.languageUtils||new _O(wO());return n.indexOf(r.getLanguagePartFromCode(t))>-1||t.toLowerCase().indexOf("-arab")>1?"rtl":"ltr"}static createInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;return new Mg(t,n)}cloneInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:R0;const r=t.forkResourceStore;r&&delete t.forkResourceStore;const i={...this.options,...t,isClone:!0},o=new Mg(i);return(t.debug!==void 0||t.prefix!==void 0)&&(o.logger=o.logger.clone(t)),["store","services","language"].forEach(a=>{o[a]=this[a]}),o.services={...this.services},o.services.utils={hasLoadedNamespace:o.hasLoadedNamespace.bind(o)},r&&(o.store=new yO(this.store.data,i),o.services.resourceStore=o.store),o.translator=new X1(o.services,i),o.translator.on("*",function(a){for(var l=arguments.length,u=new Array(l>1?l-1:0),d=1;d<l;d++)u[d-1]=arguments[d];o.emit(a,...u)}),o.init(i,n),o.translator.options=i,o.translator.backendConnector.services.utils={hasLoadedNamespace:o.hasLoadedNamespace.bind(o)},o}toJSON(){return{options:this.options,store:this.store,language:this.language,languages:this.languages,resolvedLanguage:this.resolvedLanguage}}}const Kr=Mg.createInstance();Kr.createInstance=Mg.createInstance;Kr.createInstance;Kr.dir;Kr.init;Kr.loadResources;Kr.reloadResources;Kr.use;Kr.changeLanguage;Kr.getFixedT;const Pp=Kr.t;Kr.exists;Kr.setDefaultNamespace;Kr.hasLoadedNamespace;Kr.loadNamespaces;Kr.loadLanguages;const Ku=e=>typeof 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this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,s){return this._context.createRadialGradient(t,n,r,i,o,s)}drawImage(t,n,r,i,o,s,a,l,u){var d=arguments,f=this._context;d.length===3?f.drawImage(t,n,r):d.length===5?f.drawImage(t,n,r,i,o):d.length===9&&f.drawImage(t,n,r,i,o,s,a,l,u)}ellipse(t,n,r,i,o,s,a,l){this._context.ellipse(t,n,r,i,o,s,a,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return 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n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const s=t.getFillRadialGradientColorStops();if(s&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):s&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var s=0;s<i.length;s+=2)o.addColorStop(i[s],i[s+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",s=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,a=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),d=l.x*u,f=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",s*Math.min(Math.abs(d),Math.abs(f))),this.setAttr("shadowOffsetX",a.x*d),this.setAttr("shadowOffsetY",a.y*f)}}ba.SceneContext=NSe;class LSe extends iS{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}ba.HitContext=LSe;Object.defineProperty(Qo,"__esModule",{value:!0});Qo.HitCanvas=Qo.SceneCanvas=Qo.Canvas=void 0;const J1=Sn,KU=ba,XU=rt,DSe=nt,$Se=ke;var M0;function FSe(){if(M0)return M0;var e=J1.Util.createCanvasElement(),t=e.getContext("2d");return M0=function(){var n=XU.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),J1.Util.releaseCanvas(e),M0}class oS{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||XU.Konva.pixelRatio||FSe();this.pixelRatio=r,this._canvas=J1.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return J1.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}Qo.Canvas=oS;DSe.Factory.addGetterSetter(oS,"pixelRatio",void 0,(0,$Se.getNumberValidator)());class BSe extends oS{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new KU.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}Qo.SceneCanvas=BSe;class USe extends oS{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new KU.HitContext(this),this.setSize(t.width,t.height)}}Qo.HitCanvas=USe;var sS={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=rt,n=Sn;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,s)=>{const{node:a}=o,l=a.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(p=>p.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var d=a.dragDistance(),f=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(f<d||(a.startDrag({evt:r}),!a.isDragging()))return}a._setDragPosition(r,o),i.push(a)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:s}=o,a=s.getStage();if(r&&a.setPointersPositions(r),!a._changedPointerPositions.find(d=>d.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(sS);Object.defineProperty(fn,"__esModule",{value:!0});fn.Node=void 0;const ct=Sn,Am=nt,N0=Qo,wu=rt,uo=sS,Ln=ke;var _v="absoluteOpacity",L0="allEventListeners",la="absoluteTransform",jO="absoluteScale",xu="canvas",zSe="Change",VSe="children",jSe="konva",o5="listening",GO="mouseenter",HO="mouseleave",WO="set",qO="Shape",bv=" ",KO="stage",sl="transform",GSe="Stage",s5="visible",HSe=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(bv);let WSe=1;class ze{constructor(t){this._id=WSe++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===sl||t===la)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===sl||t===la,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(bv);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(xu)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===la&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(xu)){const{scene:t,filter:n,hit:r}=this._cache.get(xu);ct.Util.releaseCanvas(t,n,r),this._cache.delete(xu)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),s=n.pixelRatio,a=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,d=n.drawBorder||!1,f=n.hitCanvasPixelRatio||1;if(!i||!o){ct.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,a-=u,l-=u;var p=new N0.SceneCanvas({pixelRatio:s,width:i,height:o}),g=new N0.SceneCanvas({pixelRatio:s,width:0,height:0,willReadFrequently:!0}),m=new N0.HitCanvas({pixelRatio:f,width:i,height:o}),v=p.getContext(),x=m.getContext();return m.isCache=!0,p.isCache=!0,this._cache.delete(xu),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(p.getContext()._context.imageSmoothingEnabled=!1,g.getContext()._context.imageSmoothingEnabled=!1),v.save(),x.save(),v.translate(-a,-l),x.translate(-a,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(_v),this._clearSelfAndDescendantCache(jO),this.drawScene(p,this),this.drawHit(m,this),this._isUnderCache=!1,v.restore(),x.restore(),d&&(v.save(),v.beginPath(),v.rect(0,0,i,o),v.closePath(),v.setAttr("strokeStyle","red"),v.setAttr("lineWidth",5),v.stroke(),v.restore()),this._cache.set(xu,{scene:p,filter:g,hit:m,x:a,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(xu)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,s,a,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var d=l.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.y)}),{x:i,y:o,width:s-i,height:a-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),s,a,l,u;if(t){if(!this._filterUpToDate){var d=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(s=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/d,r.getHeight()/d),a=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<s;l++){if(u=t[l],typeof u!="function"){ct.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,a),o.putImageData(a,0,0)}}catch(f){ct.Util.error("Unable to apply filter. "+f.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(L0),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(bv),i=r.length,o,s,a,l,u;for(o=0;o<i;o++)s=r[o],a=s.split("."),l=a[0],u=a[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(bv),i=r.length,o,s,a,l,u,d;if(this._cache&&this._cache.delete(L0),!t)for(s in this.eventListeners)this._off(s);for(o=0;o<i;o++)if(a=r[o],l=a.split("."),u=l[0],d=l[1],u)this.eventListeners[u]&&this._off(u,d,n);else for(s in this.eventListeners)this._off(s,d,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var s=o.target.findAncestors(n,!0,i),a=0;a<s.length;a++)o=ct.Util.cloneObject(o),o.currentTarget=s[a],r.call(s[a],o)})}remove(){return this.isDragging()&&this.stopDrag(),uo.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(la),this._clearSelfAndDescendantCache(_v),this._clearSelfAndDescendantCache(jO),this._clearSelfAndDescendantCache(KO),this._clearSelfAndDescendantCache(s5),this._clearSelfAndDescendantCache(o5)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+ct.Util._capitalize(t);return ct.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==VSe&&(r=WO+ct.Util._capitalize(n),ct.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(o5,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(s5,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;uo.DD._dragElements.forEach(s=>{s.dragStatus==="dragging"&&(s.node.nodeType==="Stage"||s.node.getLayer()===r)&&(i=!0)});var o=!n&&!wu.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,s,a;function l(u){for(i=[],o=u.length,s=0;s<o;s++)a=u[s],r++,a.nodeType!==qO&&(i=i.concat(a.getChildren().slice())),a._id===n._id&&(s=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==GSe&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(sl),this._clearSelfAndDescendantCache(la)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new ct.Transform,s=this.offset();return o.m=i.slice(),o.translate(s.x,s.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(sl);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(sl),this._clearSelfAndDescendantCache(la),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,s;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,s=0;s<o;s++)t(r[s])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return ct.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return ct.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return ct.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return ct.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return ct.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&ct.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(_v,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,s,a;t.attrs={};for(r in n)i=n[r],a=ct.Util.isObject(i)&&!ct.Util._isPlainObject(i)&&!ct.Util._isArray(i),!a&&(o=typeof this[r]=="function"&&this[r],delete n[r],s=o?o.call(this):null,n[r]=i,s!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),ct.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],ct.Util.isValidSelector(o)||(ct.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),ct.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),ct.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(KO,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(la,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new ct.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(la)||new ct.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,s=this.attrs.offsetX||0,a=this.attrs.offsetY||0;n.translate(i-s,o-a)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(sl,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(sl)||new ct.Transform;r.reset();var i=this.x(),o=this.y(),s=wu.Konva.getAngle(this.rotation()),a=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,d=this.attrs.skewY||0,f=this.attrs.offsetX||0,p=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),s!==0&&r.rotate(s),(u!==0||d!==0)&&r.skew(u,d),(a!==1||l!==1)&&r.scale(a,l),(f!==0||p!==0)&&r.translate(-1*f,-1*p),r.dirty=!1,r}clone(t){var n=ct.Util.cloneObject(this.attrs),r,i,o,s,a;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,s=0;s<o;s++)a=i[s],a.name.indexOf(jSe)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(a));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),s=t.pixelRatio||1,a=new N0.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:s}),l=a.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(a),l.restore(),a}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,ct.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():wu.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,s,a;for(o=0;o<i.length;o++)if(s=i[o].name,a=i[o].handler,(s!=="konva"||n==="konva")&&(!n||s===n)&&(!r||r===a)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+zSe,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[WO+ct.Util._capitalize(t)];return ct.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(wu.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!ct.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===qO&&(n.target=this);var i=(t===GO||t===HO)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===GO||t===HO)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(L0))!==null&&n!==void 0?n:{};let s=o==null?void 0:o[t];if(s===void 0){s=[];let a=Object.getPrototypeOf(this);for(;a;){const l=(i=(r=a.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];s.push(...l),a=Object.getPrototypeOf(a)}o[t]=s,this._cache.set(L0,o)}return s}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;uo.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){uo.DD._dragElements.has(this._id)||this._createDragElement(t);const r=uo.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const s=o.call(this,i,t);s?i=s:ct.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=uo.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),uo.DD._endDragBefore(t),uo.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=uo.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||wu.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;uo.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=uo.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&uo.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return ct.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return ct.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=ze.prototype.getClassName.call(t),i=t.children,o,s,a;n&&(t.attrs.container=n),wu.Konva[r]||(ct.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=wu.Konva[r];if(o=new l(t.attrs),i)for(s=i.length,a=0;a<s;a++)o.add(ze._createNode(i[a]));return o}}fn.Node=ze;ze.prototype.nodeType="Node";ze.prototype._attrsAffectingSize=[];ze.prototype.eventListeners={};ze.prototype.on.call(ze.prototype,HSe,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(sl),this._clearSelfAndDescendantCache(la)});ze.prototype.on.call(ze.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(s5)});ze.prototype.on.call(ze.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(o5)});ze.prototype.on.call(ze.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(_v)});const Kt=Am.Factory.addGetterSetter;Kt(ze,"zIndex");Kt(ze,"absolutePosition");Kt(ze,"position");Kt(ze,"x",0,(0,Ln.getNumberValidator)());Kt(ze,"y",0,(0,Ln.getNumberValidator)());Kt(ze,"globalCompositeOperation","source-over",(0,Ln.getStringValidator)());Kt(ze,"opacity",1,(0,Ln.getNumberValidator)());Kt(ze,"name","",(0,Ln.getStringValidator)());Kt(ze,"id","",(0,Ln.getStringValidator)());Kt(ze,"rotation",0,(0,Ln.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"scale",["x","y"]);Kt(ze,"scaleX",1,(0,Ln.getNumberValidator)());Kt(ze,"scaleY",1,(0,Ln.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"skew",["x","y"]);Kt(ze,"skewX",0,(0,Ln.getNumberValidator)());Kt(ze,"skewY",0,(0,Ln.getNumberValidator)());Am.Factory.addComponentsGetterSetter(ze,"offset",["x","y"]);Kt(ze,"offsetX",0,(0,Ln.getNumberValidator)());Kt(ze,"offsetY",0,(0,Ln.getNumberValidator)());Kt(ze,"dragDistance",null,(0,Ln.getNumberValidator)());Kt(ze,"width",0,(0,Ln.getNumberValidator)());Kt(ze,"height",0,(0,Ln.getNumberValidator)());Kt(ze,"listening",!0,(0,Ln.getBooleanValidator)());Kt(ze,"preventDefault",!0,(0,Ln.getBooleanValidator)());Kt(ze,"filters",null,function(e){return this._filterUpToDate=!1,e});Kt(ze,"visible",!0,(0,Ln.getBooleanValidator)());Kt(ze,"transformsEnabled","all",(0,Ln.getStringValidator)());Kt(ze,"size");Kt(ze,"dragBoundFunc");Kt(ze,"draggable",!1,(0,Ln.getBooleanValidator)());Am.Factory.backCompat(ze,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var vc={};Object.defineProperty(vc,"__esModule",{value:!0});vc.Container=void 0;const zf=nt,Lx=fn,aS=ke;class _c extends Lx.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=Lx.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=Lx.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(a){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),s=this._getCanvasCache(),a=s&&s.hit;if(a){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),s=this.clipWidth(),a=this.clipHeight(),l=this.clipFunc(),u=s&&a||l;const d=r===this;if(u){o.save();var f=this.getAbsoluteTransform(r),p=f.getMatrix();o.transform(p[0],p[1],p[2],p[3],p[4],p[5]),o.beginPath();let x;if(l)x=l.call(this,o,this);else{var g=this.clipX(),m=this.clipY();o.rect(g,m,s,a)}o.clip.apply(o,x),p=f.copy().invert().getMatrix(),o.transform(p[0],p[1],p[2],p[3],p[4],p[5])}var v=!d&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";v&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(x){x[t](n,r)}),v&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,s,a,l,u={x:1/0,y:1/0,width:0,height:0},d=this;(n=this.children)===null||n===void 0||n.forEach(function(v){if(v.visible()){var x=v.getClientRect({relativeTo:d,skipShadow:t.skipShadow,skipStroke:t.skipStroke});x.width===0&&x.height===0||(o===void 0?(o=x.x,s=x.y,a=x.x+x.width,l=x.y+x.height):(o=Math.min(o,x.x),s=Math.min(s,x.y),a=Math.max(a,x.x+x.width),l=Math.max(l,x.y+x.height)))}});for(var f=this.find("Shape"),p=!1,g=0;g<f.length;g++){var m=f[g];if(m._isVisible(this)){p=!0;break}}return p&&o!==void 0?u={x:o,y:s,width:a-o,height:l-s}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}}vc.Container=_c;zf.Factory.addComponentsGetterSetter(_c,"clip",["x","y","width","height"]);zf.Factory.addGetterSetter(_c,"clipX",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipY",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipWidth",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipHeight",void 0,(0,aS.getNumberValidator)());zf.Factory.addGetterSetter(_c,"clipFunc");var YU={},Vi={};Object.defineProperty(Vi,"__esModule",{value:!0});Vi.releaseCapture=Vi.setPointerCapture=Vi.hasPointerCapture=Vi.createEvent=Vi.getCapturedShape=void 0;const qSe=rt,Lg=new Map,QU=qSe.Konva._global.PointerEvent!==void 0;function KSe(e){return Lg.get(e)}Vi.getCapturedShape=KSe;function _E(e){return{evt:e,pointerId:e.pointerId}}Vi.createEvent=_E;function XSe(e,t){return Lg.get(e)===t}Vi.hasPointerCapture=XSe;function YSe(e,t){ZU(e),t.getStage()&&(Lg.set(e,t),QU&&t._fire("gotpointercapture",_E(new PointerEvent("gotpointercapture"))))}Vi.setPointerCapture=YSe;function ZU(e,t){const n=Lg.get(e);if(!n)return;const r=n.getStage();r&&r.content,Lg.delete(e),QU&&n._fire("lostpointercapture",_E(new PointerEvent("lostpointercapture")))}Vi.releaseCapture=ZU;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=Sn,n=nt,r=vc,i=rt,o=Qo,s=sS,a=rt,l=Vi;var u="Stage",d="string",f="px",p="mouseout",g="mouseleave",m="mouseover",v="mouseenter",x="mousemove",_="mousedown",b="mouseup",y="pointermove",S="pointerdown",C="pointerup",T="pointercancel",E="lostpointercapture",P="pointerout",k="pointerleave",O="pointerover",M="pointerenter",G="contextmenu",U="touchstart",A="touchend",N="touchmove",F="touchcancel",B="wheel",D=5,V=[[v,"_pointerenter"],[_,"_pointerdown"],[x,"_pointermove"],[b,"_pointerup"],[g,"_pointerleave"],[U,"_pointerdown"],[N,"_pointermove"],[A,"_pointerup"],[F,"_pointercancel"],[m,"_pointerover"],[B,"_wheel"],[G,"_contextmenu"],[S,"_pointerdown"],[y,"_pointermove"],[C,"_pointerup"],[T,"_pointercancel"],[E,"_lostpointercapture"]];const j={mouse:{[P]:p,[k]:g,[O]:m,[M]:v,[y]:x,[S]:_,[C]:b,[T]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[P]:"touchout",[k]:"touchleave",[O]:"touchover",[M]:"touchenter",[y]:N,[S]:U,[C]:A,[T]:F,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[P]:P,[k]:k,[O]:O,[M]:M,[y]:y,[S]:S,[C]:C,[T]:T,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},q=le=>le.indexOf("pointer")>=0?"pointer":le.indexOf("touch")>=0?"touch":"mouse",Z=le=>{const W=q(le);if(W==="pointer")return i.Konva.pointerEventsEnabled&&j.pointer;if(W==="touch")return j.touch;if(W==="mouse")return j.mouse};function ee(le={}){return(le.clipFunc||le.clipWidth||le.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),le}const ie="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class se extends r.Container{constructor(W){super(ee(W)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{ee(this.attrs)}),this._checkVisibility()}_validateAdd(W){const ne=W.getType()==="Layer",fe=W.getType()==="FastLayer";ne||fe||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const W=this.visible()?"":"none";this.content.style.display=W}setContainer(W){if(typeof W===d){if(W.charAt(0)==="."){var ne=W.slice(1);W=document.getElementsByClassName(ne)[0]}else{var fe;W.charAt(0)!=="#"?fe=W:fe=W.slice(1),W=document.getElementById(fe)}if(!W)throw"Can not find container in document with id "+fe}return this._setAttr("container",W),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),W.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var W=this.children,ne=W.length,fe;for(fe=0;fe<ne;fe++)W[fe].clear();return this}clone(W){return W||(W={}),W.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,W)}destroy(){super.destroy();var W=this.content;W&&t.Util._isInDocument(W)&&this.container().removeChild(W);var ne=e.stages.indexOf(this);return ne>-1&&e.stages.splice(ne,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const W=this._pointerPositions[0]||this._changedPointerPositions[0];return W?{x:W.x,y:W.y}:(t.Util.warn(ie),null)}_getPointerById(W){return this._pointerPositions.find(ne=>ne.id===W)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(W){W=W||{},W.x=W.x||0,W.y=W.y||0,W.width=W.width||this.width(),W.height=W.height||this.height();var ne=new o.SceneCanvas({width:W.width,height:W.height,pixelRatio:W.pixelRatio||1}),fe=ne.getContext()._context,pe=this.children;return(W.x||W.y)&&fe.translate(-1*W.x,-1*W.y),pe.forEach(function(ve){if(ve.isVisible()){var ye=ve._toKonvaCanvas(W);fe.drawImage(ye._canvas,W.x,W.y,ye.getWidth()/ye.getPixelRatio(),ye.getHeight()/ye.getPixelRatio())}}),ne}getIntersection(W){if(!W)return null;var ne=this.children,fe=ne.length,pe=fe-1,ve;for(ve=pe;ve>=0;ve--){const ye=ne[ve].getIntersection(W);if(ye)return ye}return null}_resizeDOM(){var W=this.width(),ne=this.height();this.content&&(this.content.style.width=W+f,this.content.style.height=ne+f),this.bufferCanvas.setSize(W,ne),this.bufferHitCanvas.setSize(W,ne),this.children.forEach(fe=>{fe.setSize({width:W,height:ne}),fe.draw()})}add(W,...ne){if(arguments.length>1){for(var fe=0;fe<arguments.length;fe++)this.add(arguments[fe]);return this}super.add(W);var pe=this.children.length;return pe>D&&t.Util.warn("The stage has "+pe+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),W.setSize({width:this.width(),height:this.height()}),W.draw(),i.Konva.isBrowser&&this.content.appendChild(W.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(W){return l.hasPointerCapture(W,this)}setPointerCapture(W){l.setPointerCapture(W,this)}releaseCapture(W){l.releaseCapture(W,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&V.forEach(([W,ne])=>{this.content.addEventListener(W,fe=>{this[ne](fe)},{passive:!1})})}_pointerenter(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerenter,{evt:W,target:this,currentTarget:this})}_pointerover(W){this.setPointersPositions(W);const ne=Z(W.type);this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this})}_getTargetShape(W){let ne=this[W+"targetShape"];return ne&&!ne.getStage()&&(ne=null),ne}_pointerleave(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=this._getTargetShape(fe),ve=!s.DD.isDragging||i.Konva.hitOnDragEnabled;pe&&ve?(pe._fireAndBubble(ne.pointerout,{evt:W}),pe._fireAndBubble(ne.pointerleave,{evt:W}),this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this[fe+"targetShape"]=null):ve&&(this._fire(ne.pointerleave,{evt:W,target:this,currentTarget:this}),this._fire(ne.pointerout,{evt:W,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(W){const ne=Z(W.type),fe=q(W.type);if(ne){this.setPointersPositions(W);var pe=!1;this._changedPointerPositions.forEach(ve=>{var ye=this.getIntersection(ve);if(s.DD.justDragged=!1,i.Konva["_"+fe+"ListenClick"]=!0,!(ye&&ye.isListening()))return;i.Konva.capturePointerEventsEnabled&&ye.setPointerCapture(ve.id),this[fe+"ClickStartShape"]=ye,ye._fireAndBubble(ne.pointerdown,{evt:W,pointerId:ve.id}),pe=!0;const Me=W.type.indexOf("touch")>=0;ye.preventDefault()&&W.cancelable&&Me&&W.preventDefault()}),pe||this._fire(ne.pointerdown,{evt:W,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;s.DD.isDragging&&s.DD.node.preventDefault()&&W.cancelable&&W.preventDefault(),this.setPointersPositions(W);var pe=!s.DD.isDragging||i.Konva.hitOnDragEnabled;if(!pe)return;var ve={};let ye=!1;var We=this._getTargetShape(fe);this._changedPointerPositions.forEach(Me=>{const Ee=l.getCapturedShape(Me.id)||this.getIntersection(Me),lt=Me.id,_e={evt:W,pointerId:lt};var jt=We!==Ee;if(jt&&We&&(We._fireAndBubble(ne.pointerout,Object.assign({},_e),Ee),We._fireAndBubble(ne.pointerleave,Object.assign({},_e),Ee)),Ee){if(ve[Ee._id])return;ve[Ee._id]=!0}Ee&&Ee.isListening()?(ye=!0,jt&&(Ee._fireAndBubble(ne.pointerover,Object.assign({},_e),We),Ee._fireAndBubble(ne.pointerenter,Object.assign({},_e),We),this[fe+"targetShape"]=Ee),Ee._fireAndBubble(ne.pointermove,Object.assign({},_e))):We&&(this._fire(ne.pointerover,{evt:W,target:this,currentTarget:this,pointerId:lt}),this[fe+"targetShape"]=null)}),ye||this._fire(ne.pointermove,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(W){const ne=Z(W.type),fe=q(W.type);if(!ne)return;this.setPointersPositions(W);const pe=this[fe+"ClickStartShape"],ve=this[fe+"ClickEndShape"];var ye={};let We=!1;this._changedPointerPositions.forEach(Me=>{const Ee=l.getCapturedShape(Me.id)||this.getIntersection(Me);if(Ee){if(Ee.releaseCapture(Me.id),ye[Ee._id])return;ye[Ee._id]=!0}const lt=Me.id,_e={evt:W,pointerId:lt};let jt=!1;i.Konva["_"+fe+"InDblClickWindow"]?(jt=!0,clearTimeout(this[fe+"DblTimeout"])):s.DD.justDragged||(i.Konva["_"+fe+"InDblClickWindow"]=!0,clearTimeout(this[fe+"DblTimeout"])),this[fe+"DblTimeout"]=setTimeout(function(){i.Konva["_"+fe+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),Ee&&Ee.isListening()?(We=!0,this[fe+"ClickEndShape"]=Ee,Ee._fireAndBubble(ne.pointerup,Object.assign({},_e)),i.Konva["_"+fe+"ListenClick"]&&pe&&pe===Ee&&(Ee._fireAndBubble(ne.pointerclick,Object.assign({},_e)),jt&&ve&&ve===Ee&&Ee._fireAndBubble(ne.pointerdblclick,Object.assign({},_e)))):(this[fe+"ClickEndShape"]=null,i.Konva["_"+fe+"ListenClick"]&&this._fire(ne.pointerclick,{evt:W,target:this,currentTarget:this,pointerId:lt}),jt&&this._fire(ne.pointerdblclick,{evt:W,target:this,currentTarget:this,pointerId:lt}))}),We||this._fire(ne.pointerup,{evt:W,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+fe+"ListenClick"]=!1,W.cancelable&&fe!=="touch"&&W.preventDefault()}_contextmenu(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(G,{evt:W}):this._fire(G,{evt:W,target:this,currentTarget:this})}_wheel(W){this.setPointersPositions(W);var ne=this.getIntersection(this.getPointerPosition());ne&&ne.isListening()?ne._fireAndBubble(B,{evt:W}):this._fire(B,{evt:W,target:this,currentTarget:this})}_pointercancel(W){this.setPointersPositions(W);const ne=l.getCapturedShape(W.pointerId)||this.getIntersection(this.getPointerPosition());ne&&ne._fireAndBubble(C,l.createEvent(W)),l.releaseCapture(W.pointerId)}_lostpointercapture(W){l.releaseCapture(W.pointerId)}setPointersPositions(W){var ne=this._getContentPosition(),fe=null,pe=null;W=W||window.event,W.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(W.touches,ve=>{this._pointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})}),Array.prototype.forEach.call(W.changedTouches||W.touches,ve=>{this._changedPointerPositions.push({id:ve.identifier,x:(ve.clientX-ne.left)/ne.scaleX,y:(ve.clientY-ne.top)/ne.scaleY})})):(fe=(W.clientX-ne.left)/ne.scaleX,pe=(W.clientY-ne.top)/ne.scaleY,this.pointerPos={x:fe,y:pe},this._pointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}],this._changedPointerPositions=[{x:fe,y:pe,id:t.Util._getFirstPointerId(W)}])}_setPointerPosition(W){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(W)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var W=this.content.getBoundingClientRect();return{top:W.top,left:W.left,scaleX:W.width/this.content.clientWidth||1,scaleY:W.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var W=this.container();if(!W)throw"Stage has no container. A container is required.";W.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),W.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(W){W.batchDraw()}),this}}e.Stage=se,se.prototype.nodeType=u,(0,a._registerNode)(se),n.Factory.addGetterSetter(se,"container")})(YU);var Pm={},rr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=rt,n=Sn,r=nt,i=fn,o=ke,s=rt,a=Vi;var l="hasShadow",u="shadowRGBA",d="patternImage",f="linearGradient",p="radialGradient";let g;function m(){return g||(g=n.Util.createCanvasElement().getContext("2d"),g)}e.shapes={};function v(k){const O=this.attrs.fillRule;O?k.fill(O):k.fill()}function x(k){k.stroke()}function _(k){k.fill()}function b(k){k.stroke()}function y(){this._clearCache(l)}function S(){this._clearCache(u)}function C(){this._clearCache(d)}function T(){this._clearCache(f)}function E(){this._clearCache(p)}class P extends i.Node{constructor(O){super(O);let M;for(;M=n.Util.getRandomColor(),!(M&&!(M in e.shapes)););this.colorKey=M,e.shapes[M]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(d,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var O=m();const M=O.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(M&&M.setTransform){const G=new n.Transform;G.translate(this.fillPatternX(),this.fillPatternY()),G.rotate(t.Konva.getAngle(this.fillPatternRotation())),G.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),G.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const U=G.getMatrix(),A=typeof DOMMatrix>"u"?{a:U[0],b:U[1],c:U[2],d:U[3],e:U[4],f:U[5]}:new DOMMatrix(U);M.setTransform(A)}return M}}_getLinearGradient(){return this._getCache(f,this.__getLinearGradient)}__getLinearGradient(){var O=this.fillLinearGradientColorStops();if(O){for(var M=m(),G=this.fillLinearGradientStartPoint(),U=this.fillLinearGradientEndPoint(),A=M.createLinearGradient(G.x,G.y,U.x,U.y),N=0;N<O.length;N+=2)A.addColorStop(O[N],O[N+1]);return A}}_getRadialGradient(){return this._getCache(p,this.__getRadialGradient)}__getRadialGradient(){var O=this.fillRadialGradientColorStops();if(O){for(var M=m(),G=this.fillRadialGradientStartPoint(),U=this.fillRadialGradientEndPoint(),A=M.createRadialGradient(G.x,G.y,this.fillRadialGradientStartRadius(),U.x,U.y,this.fillRadialGradientEndRadius()),N=0;N<O.length;N+=2)A.addColorStop(O[N],O[N+1]);return A}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var O=n.Util.colorToRGBA(this.shadowColor());if(O)return"rgba("+O.r+","+O.g+","+O.b+","+O.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const O=this.hitStrokeWidth();return O==="auto"?this.hasStroke():this.strokeEnabled()&&!!O}intersects(O){var M=this.getStage(),G=M.bufferHitCanvas,U;return G.getContext().clear(),this.drawHit(G,null,!0),U=G.context.getImageData(Math.round(O.x),Math.round(O.y),1,1).data,U[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(O){var M;if(!this.getStage()||!((M=this.attrs.perfectDrawEnabled)!==null&&M!==void 0?M:!0))return!1;const U=O||this.hasFill(),A=this.hasStroke(),N=this.getAbsoluteOpacity()!==1;if(U&&A&&N)return!0;const F=this.hasShadow(),B=this.shadowForStrokeEnabled();return!!(U&&A&&F&&B)}setStrokeHitEnabled(O){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),O?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var O=this.size();return{x:this._centroid?-O.width/2:0,y:this._centroid?-O.height/2:0,width:O.width,height:O.height}}getClientRect(O={}){const M=O.skipTransform,G=O.relativeTo,U=this.getSelfRect(),N=!O.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,F=U.width+N,B=U.height+N,D=!O.skipShadow&&this.hasShadow(),V=D?this.shadowOffsetX():0,j=D?this.shadowOffsetY():0,q=F+Math.abs(V),Z=B+Math.abs(j),ee=D&&this.shadowBlur()||0,ie=q+ee*2,se=Z+ee*2,le={width:ie,height:se,x:-(N/2+ee)+Math.min(V,0)+U.x,y:-(N/2+ee)+Math.min(j,0)+U.y};return M?le:this._transformedRect(le,G)}drawScene(O,M){var G=this.getLayer(),U=O||G.getCanvas(),A=U.getContext(),N=this._getCanvasCache(),F=this.getSceneFunc(),B=this.hasShadow(),D,V,j,q=U.isCache,Z=M===this;if(!this.isVisible()&&!Z)return this;if(N){A.save();var ee=this.getAbsoluteTransform(M).getMatrix();return A.transform(ee[0],ee[1],ee[2],ee[3],ee[4],ee[5]),this._drawCachedSceneCanvas(A),A.restore(),this}if(!F)return this;if(A.save(),this._useBufferCanvas()&&!q){D=this.getStage(),V=D.bufferCanvas,j=V.getContext(),j.clear(),j.save(),j._applyLineJoin(this);var ie=this.getAbsoluteTransform(M).getMatrix();j.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),F.call(this,j,this),j.restore();var se=V.pixelRatio;B&&A._applyShadow(this),A._applyOpacity(this),A._applyGlobalCompositeOperation(this),A.drawImage(V._canvas,0,0,V.width/se,V.height/se)}else{if(A._applyLineJoin(this),!Z){var ie=this.getAbsoluteTransform(M).getMatrix();A.transform(ie[0],ie[1],ie[2],ie[3],ie[4],ie[5]),A._applyOpacity(this),A._applyGlobalCompositeOperation(this)}B&&A._applyShadow(this),F.call(this,A,this)}return A.restore(),this}drawHit(O,M,G=!1){if(!this.shouldDrawHit(M,G))return this;var U=this.getLayer(),A=O||U.hitCanvas,N=A&&A.getContext(),F=this.hitFunc()||this.sceneFunc(),B=this._getCanvasCache(),D=B&&B.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),D){N.save();var V=this.getAbsoluteTransform(M).getMatrix();return N.transform(V[0],V[1],V[2],V[3],V[4],V[5]),this._drawCachedHitCanvas(N),N.restore(),this}if(!F)return this;if(N.save(),N._applyLineJoin(this),!(this===M)){var q=this.getAbsoluteTransform(M).getMatrix();N.transform(q[0],q[1],q[2],q[3],q[4],q[5])}return F.call(this,N,this),N.restore(),this}drawHitFromCache(O=0){var M=this._getCanvasCache(),G=this._getCachedSceneCanvas(),U=M.hit,A=U.getContext(),N=U.getWidth(),F=U.getHeight(),B,D,V,j,q,Z;A.clear(),A.drawImage(G._canvas,0,0,N,F);try{for(B=A.getImageData(0,0,N,F),D=B.data,V=D.length,j=n.Util._hexToRgb(this.colorKey),q=0;q<V;q+=4)Z=D[q+3],Z>O?(D[q]=j.r,D[q+1]=j.g,D[q+2]=j.b,D[q+3]=255):D[q+3]=0;A.putImageData(B,0,0)}catch(ee){n.Util.error("Unable to draw hit graph from cached scene canvas. "+ee.message)}return this}hasPointerCapture(O){return a.hasPointerCapture(O,this)}setPointerCapture(O){a.setPointerCapture(O,this)}releaseCapture(O){a.releaseCapture(O,this)}}e.Shape=P,P.prototype._fillFunc=v,P.prototype._strokeFunc=x,P.prototype._fillFuncHit=_,P.prototype._strokeFuncHit=b,P.prototype._centroid=!1,P.prototype.nodeType="Shape",(0,s._registerNode)(P),P.prototype.eventListeners={},P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",y),P.prototype.on.call(P.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",S),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",C),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",T),P.prototype.on.call(P.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",E),r.Factory.addGetterSetter(P,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(P,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(P,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(P,"lineJoin"),r.Factory.addGetterSetter(P,"lineCap"),r.Factory.addGetterSetter(P,"sceneFunc"),r.Factory.addGetterSetter(P,"hitFunc"),r.Factory.addGetterSetter(P,"dash"),r.Factory.addGetterSetter(P,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(P,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(P,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternImage"),r.Factory.addGetterSetter(P,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(P,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(P,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(P,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(P,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(P,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(P,"fillEnabled",!0),r.Factory.addGetterSetter(P,"strokeEnabled",!0),r.Factory.addGetterSetter(P,"shadowEnabled",!0),r.Factory.addGetterSetter(P,"dashEnabled",!0),r.Factory.addGetterSetter(P,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(P,"fillPriority","color"),r.Factory.addComponentsGetterSetter(P,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(P,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(P,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(P,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(P,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(P,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(P,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(P,"fillPatternRotation",0),r.Factory.addGetterSetter(P,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(P,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(rr);Object.defineProperty(Pm,"__esModule",{value:!0});Pm.Layer=void 0;const ia=Sn,Dx=vc,hd=fn,bE=nt,XO=Qo,QSe=ke,ZSe=rr,JSe=rt;var e2e="#",t2e="beforeDraw",n2e="draw",JU=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],r2e=JU.length;class Vf extends Dx.Container{constructor(t){super(t),this.canvas=new XO.SceneCanvas,this.hitCanvas=new XO.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){hd.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=hd.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(hd.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(hd.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return hd.Node.prototype.remove.call(this),t&&t.parentNode&&ia.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&ia.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),hd.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){ia.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){ia.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,ia.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<r2e;i++){const o=JU[i],s=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),a=s.shape;if(a)return a;if(r=!!s.antialiased,!s.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=ia.Util._rgbToHex(r[0],r[1],r[2]),s=ZSe.shapes[e2e+o];return s?{shape:s}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(t2e,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),Dx.Container.prototype.drawScene.call(this,i,n),this._fire(n2e,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),Dx.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){ia.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return ia.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return ia.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Pm.Layer=Vf;Vf.prototype.nodeType="Layer";(0,JSe._registerNode)(Vf);bE.Factory.addGetterSetter(Vf,"imageSmoothingEnabled",!0);bE.Factory.addGetterSetter(Vf,"clearBeforeDraw",!0);bE.Factory.addGetterSetter(Vf,"hitGraphEnabled",!0,(0,QSe.getBooleanValidator)());var lS={};Object.defineProperty(lS,"__esModule",{value:!0});lS.FastLayer=void 0;const i2e=Sn,o2e=Pm,s2e=rt;class SE extends o2e.Layer{constructor(t){super(t),this.listening(!1),i2e.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}lS.FastLayer=SE;SE.prototype.nodeType="FastLayer";(0,s2e._registerNode)(SE);var jf={};Object.defineProperty(jf,"__esModule",{value:!0});jf.Group=void 0;const a2e=Sn,l2e=vc,u2e=rt;class wE extends l2e.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&a2e.Util.throw("You may only add groups and shapes to groups.")}}jf.Group=wE;wE.prototype.nodeType="Group";(0,u2e._registerNode)(wE);var Gf={};Object.defineProperty(Gf,"__esModule",{value:!0});Gf.Animation=void 0;const $x=rt,YO=Sn;var Fx=function(){return $x.glob.performance&&$x.glob.performance.now?function(){return $x.glob.performance.now()}:function(){return new Date().getTime()}}();class ws{constructor(t,n){this.id=ws.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:Fx(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=ws,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=Fx(),ws._addAnimation(this),this}stop(){return ws._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,s,a,l,u,d,f;for(s=0;s<n.length;s++)if(r=n[s],i=r.layers,o=r.func,r._updateFrameObject(Fx()),l=i.length,o?f=o.call(r,r.frame)!==!1:f=!0,!!f)for(a=0;a<l;a++)u=i[a],u._id!==void 0&&(t[u._id]=u);for(d in t)t.hasOwnProperty(d)&&t[d].batchDraw()}static _animationLoop(){var t=ws;t.animations.length?(t._runFrames(),YO.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,YO.Util.requestAnimFrame(this._animationLoop))}}Gf.Animation=ws;ws.animations=[];ws.animIdCounter=0;ws.animRunning=!1;var ez={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=Sn,n=Gf,r=fn,i=rt;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},s=1,a=2,l=3,u=0,d=["fill","stroke","shadowColor"];class f{constructor(m,v,x,_,b,y,S){this.prop=m,this.propFunc=v,this.begin=_,this._pos=_,this.duration=y,this._change=0,this.prevPos=0,this.yoyo=S,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=x,this._change=b-this.begin,this.pause()}fire(m){var v=this[m];v&&v()}setTime(m){m>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():m<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=m,this.update())}getTime(){return this._time}setPosition(m){this.prevPos=this._pos,this.propFunc(m),this._pos=m}getPosition(m){return m===void 0&&(m=this._time),this.func(m,this.begin,this._change,this.duration)}play(){this.state=a,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(m){this.pause(),this._time=m,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var m=this.getTimer()-this._startTime;this.state===a?this.setTime(m):this.state===l&&this.setTime(this.duration-m)}pause(){this.state=s,this.fire("onPause")}getTimer(){return new Date().getTime()}}class p{constructor(m){var v=this,x=m.node,_=x._id,b,y=m.easing||e.Easings.Linear,S=!!m.yoyo,C;typeof m.duration>"u"?b=.3:m.duration===0?b=.001:b=m.duration,this.node=x,this._id=u++;var T=x.getLayer()||(x instanceof i.Konva.Stage?x.getLayers():null);T||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){v.tween.onEnterFrame()},T),this.tween=new f(C,function(E){v._tweenFunc(E)},y,0,1,b*1e3,S),this._addListeners(),p.attrs[_]||(p.attrs[_]={}),p.attrs[_][this._id]||(p.attrs[_][this._id]={}),p.tweens[_]||(p.tweens[_]={});for(C in m)o[C]===void 0&&this._addAttr(C,m[C]);this.reset(),this.onFinish=m.onFinish,this.onReset=m.onReset,this.onUpdate=m.onUpdate}_addAttr(m,v){var x=this.node,_=x._id,b,y,S,C,T,E,P,k;if(S=p.tweens[_][m],S&&delete p.attrs[_][S][m],b=x.getAttr(m),t.Util._isArray(v))if(y=[],T=Math.max(v.length,b.length),m==="points"&&v.length!==b.length&&(v.length>b.length?(P=b,b=t.Util._prepareArrayForTween(b,v,x.closed())):(E=v,v=t.Util._prepareArrayForTween(v,b,x.closed()))),m.indexOf("fill")===0)for(C=0;C<T;C++)if(C%2===0)y.push(v[C]-b[C]);else{var O=t.Util.colorToRGBA(b[C]);k=t.Util.colorToRGBA(v[C]),b[C]=O,y.push({r:k.r-O.r,g:k.g-O.g,b:k.b-O.b,a:k.a-O.a})}else for(C=0;C<T;C++)y.push(v[C]-b[C]);else d.indexOf(m)!==-1?(b=t.Util.colorToRGBA(b),k=t.Util.colorToRGBA(v),y={r:k.r-b.r,g:k.g-b.g,b:k.b-b.b,a:k.a-b.a}):y=v-b;p.attrs[_][this._id][m]={start:b,diff:y,end:v,trueEnd:E,trueStart:P},p.tweens[_][m]=this._id}_tweenFunc(m){var v=this.node,x=p.attrs[v._id][this._id],_,b,y,S,C,T,E,P;for(_ in x){if(b=x[_],y=b.start,S=b.diff,P=b.end,t.Util._isArray(y))if(C=[],E=Math.max(y.length,P.length),_.indexOf("fill")===0)for(T=0;T<E;T++)T%2===0?C.push((y[T]||0)+S[T]*m):C.push("rgba("+Math.round(y[T].r+S[T].r*m)+","+Math.round(y[T].g+S[T].g*m)+","+Math.round(y[T].b+S[T].b*m)+","+(y[T].a+S[T].a*m)+")");else for(T=0;T<E;T++)C.push((y[T]||0)+S[T]*m);else d.indexOf(_)!==-1?C="rgba("+Math.round(y.r+S.r*m)+","+Math.round(y.g+S.g*m)+","+Math.round(y.b+S.b*m)+","+(y.a+S.a*m)+")":C=y+S*m;v.setAttr(_,C)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var m=this.node,v=p.attrs[m._id][this._id];v.points&&v.points.trueEnd&&m.setAttr("points",v.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var m=this.node,v=p.attrs[m._id][this._id];v.points&&v.points.trueStart&&m.points(v.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(m){return this.tween.seek(m*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var m=this.node._id,v=this._id,x=p.tweens[m],_;this.pause();for(_ in x)delete p.tweens[m][_];delete p.attrs[m][v]}}e.Tween=p,p.attrs={},p.tweens={},r.Node.prototype.to=function(g){var m=g.onFinish;g.node=this,g.onFinish=function(){this.destroy(),m&&m()};var v=new p(g);v.play()},e.Easings={BackEaseIn(g,m,v,x){var _=1.70158;return v*(g/=x)*g*((_+1)*g-_)+m},BackEaseOut(g,m,v,x){var 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t=(s,a,l)=>{let u,d,f;u=l/2,d=0;for(let g=0;g<20;g++)f=u*e.tValues[20][g]+u,d+=e.cValues[20][g]*r(s,a,f);return u*d};e.getCubicArcLength=t;const n=(s,a,l)=>{l===void 0&&(l=1);const u=s[0]-2*s[1]+s[2],d=a[0]-2*a[1]+a[2],f=2*s[1]-2*s[0],p=2*a[1]-2*a[0],g=4*(u*u+d*d),m=4*(u*f+d*p),v=f*f+p*p;if(g===0)return l*Math.sqrt(Math.pow(s[2]-s[0],2)+Math.pow(a[2]-a[0],2));const x=m/(2*g),_=v/g,b=l+x,y=_-x*x,S=b*b+y>0?Math.sqrt(b*b+y):0,C=x*x+y>0?Math.sqrt(x*x+y):0,T=x+Math.sqrt(x*x+y)!==0?y*Math.log(Math.abs((b+S)/(x+C))):0;return Math.sqrt(g)/2*(b*S-x*C+T)};e.getQuadraticArcLength=n;function r(s,a,l){const u=i(1,l,s),d=i(1,l,a),f=u*u+d*d;return Math.sqrt(f)}const i=(s,a,l)=>{const u=l.length-1;let d,f;if(u===0)return 0;if(s===0){f=0;for(let p=0;p<=u;p++)f+=e.binomialCoefficients[u][p]*Math.pow(1-a,u-p)*Math.pow(a,p)*l[p];return f}else{d=new Array(u);for(let p=0;p<u;p++)d[p]=u*(l[p+1]-l[p]);return i(s-1,a,d)}},o=(s,a,l)=>{let u=1,d=s/a,f=(s-l(d))/a,p=0;for(;u>.001;){const g=l(d+f),m=Math.abs(s-g)/a;if(m<u)u=m,d+=f;else{const v=l(d-f),x=Math.abs(s-v)/a;x<u?(u=x,d-=f):f/=2}if(p++,p>500)break}return d};e.t2length=o})(nz);Object.defineProperty(Hf,"__esModule",{value:!0});Hf.Path=void 0;const p2e=nt,g2e=rr,m2e=rt,pd=nz;class Zn extends g2e.Shape{constructor(t){super(t),this.dataArray=[],this.pathLength=0,this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute()})}_readDataAttribute(){this.dataArray=Zn.parsePathData(this.data()),this.pathLength=Zn.getPathLength(this.dataArray)}_sceneFunc(t){var n=this.dataArray;t.beginPath();for(var r=!1,i=0;i<n.length;i++){var o=n[i].command,s=n[i].points;switch(o){case"L":t.lineTo(s[0],s[1]);break;case"M":t.moveTo(s[0],s[1]);break;case"C":t.bezierCurveTo(s[0],s[1],s[2],s[3],s[4],s[5]);break;case"Q":t.quadraticCurveTo(s[0],s[1],s[2],s[3]);break;case"A":var a=s[0],l=s[1],u=s[2],d=s[3],f=s[4],p=s[5],g=s[6],m=s[7],v=u>d?u:d,x=u>d?1:u/d,_=u>d?d/u:1;t.translate(a,l),t.rotate(g),t.scale(x,_),t.arc(0,0,v,f,f+p,1-m),t.scale(1/x,1/_),t.rotate(-g),t.translate(-a,-l);break;case"z":r=!0,t.closePath();break}}!r&&!this.hasFill()?t.strokeShape(this):t.fillStrokeShape(this)}getSelfRect(){var t=[];this.dataArray.forEach(function(u){if(u.command==="A"){var d=u.points[4],f=u.points[5],p=u.points[4]+f,g=Math.PI/180;if(Math.abs(d-p)<g&&(g=Math.abs(d-p)),f<0)for(let m=d-g;m>p;m-=g){const v=Zn.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],m,0);t.push(v.x,v.y)}else for(let m=d+g;m<p;m+=g){const v=Zn.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],m,0);t.push(v.x,v.y)}}else if(u.command==="C")for(let m=0;m<=1;m+=.01){const v=Zn.getPointOnCubicBezier(m,u.start.x,u.start.y,u.points[0],u.points[1],u.points[2],u.points[3],u.points[4],u.points[5]);t.push(v.x,v.y)}else t=t.concat(u.points)});for(var n=t[0],r=t[0],i=t[1],o=t[1],s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],isNaN(s)||(n=Math.min(n,s),r=Math.max(r,s)),isNaN(a)||(i=Math.min(i,a),o=Math.max(o,a));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return Zn.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var s=n[i],a=s.points;switch(s.command){case"L":return Zn.getPointOnLine(t,s.start.x,s.start.y,a[0],a[1]);case"C":return Zn.getPointOnCubicBezier((0,pd.t2length)(t,Zn.getPathLength(n),v=>(0,pd.getCubicArcLength)([s.start.x,a[0],a[2],a[4]],[s.start.y,a[1],a[3],a[5]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3],a[4],a[5]);case"Q":return Zn.getPointOnQuadraticBezier((0,pd.t2length)(t,Zn.getPathLength(n),v=>(0,pd.getQuadraticArcLength)([s.start.x,a[0],a[2]],[s.start.y,a[1],a[3]],v)),s.start.x,s.start.y,a[0],a[1],a[2],a[3]);case"A":var l=a[0],u=a[1],d=a[2],f=a[3],p=a[4],g=a[5],m=a[6];return p+=g*t/s.pathLength,Zn.getPointOnEllipticalArc(l,u,d,f,p,m)}return null}static getPointOnLine(t,n,r,i,o,s,a){s===void 0&&(s=n),a===void 0&&(a=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var d=l*u,f;if(i===n)f={x:s,y:a+d};else if((a-r)/(s-n+1e-8)===l)f={x:s+u,y:a+d};else{var p,g,m=this.getLineLength(n,r,i,o),v=(s-n)*(i-n)+(a-r)*(o-r);v=v/(m*m),p=n+v*(i-n),g=r+v*(o-r);var x=this.getLineLength(s,a,p,g),_=Math.sqrt(t*t-x*x);u=Math.sqrt(_*_/(1+l*l)),i<n&&(u*=-1),d=l*u,f={x:p+u,y:g+d}}return f}static getPointOnCubicBezier(t,n,r,i,o,s,a,l,u){function d(x){return x*x*x}function f(x){return 3*x*x*(1-x)}function p(x){return 3*x*(1-x)*(1-x)}function g(x){return(1-x)*(1-x)*(1-x)}var m=l*d(t)+s*f(t)+i*p(t)+n*g(t),v=u*d(t)+a*f(t)+o*p(t)+r*g(t);return{x:m,y:v}}static getPointOnQuadraticBezier(t,n,r,i,o,s,a){function l(g){return g*g}function u(g){return 2*g*(1-g)}function d(g){return(1-g)*(1-g)}var f=s*l(t)+i*u(t)+n*d(t),p=a*l(t)+o*u(t)+r*d(t);return{x:f,y:p}}static getPointOnEllipticalArc(t,n,r,i,o,s){var a=Math.cos(s),l=Math.sin(s),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*a-u.y*l),y:n+(u.x*l+u.y*a)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),s=[],a=[],l=0,u=0,d=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,f;for(i=1;i<o.length;i++){var p=o[i],g=p.charAt(0);for(p=p.slice(1),a.length=0;f=d.exec(p);)a.push(f[0]);for(var m=[],v=0,x=a.length;v<x;v++){if(a[v]==="00"){m.push(0,0);continue}var _=parseFloat(a[v]);isNaN(_)?m.push(0):m.push(_)}for(;m.length>0&&!isNaN(m[0]);){var b=null,y=[],S=l,C=u,T,E,P,k,O,M,G,U,A,N;switch(g){case"l":l+=m.shift(),u+=m.shift(),b="L",y.push(l,u);break;case"L":l=m.shift(),u=m.shift(),y.push(l,u);break;case"m":var F=m.shift(),B=m.shift();if(l+=F,u+=B,b="M",s.length>2&&s[s.length-1].command==="z"){for(var D=s.length-2;D>=0;D--)if(s[D].command==="M"){l=s[D].points[0]+F,u=s[D].points[1]+B;break}}y.push(l,u),g="l";break;case"M":l=m.shift(),u=m.shift(),b="M",y.push(l,u),g="L";break;case"h":l+=m.shift(),b="L",y.push(l,u);break;case"H":l=m.shift(),b="L",y.push(l,u);break;case"v":u+=m.shift(),b="L",y.push(l,u);break;case"V":u=m.shift(),b="L",y.push(l,u);break;case"C":y.push(m.shift(),m.shift(),m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"c":y.push(l+m.shift(),u+m.shift(),l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"S":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,m.shift(),m.shift()),l=m.shift(),u=m.shift(),b="C",y.push(l,u);break;case"s":E=l,P=u,T=s[s.length-1],T.command==="C"&&(E=l+(l-T.points[2]),P=u+(u-T.points[3])),y.push(E,P,l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="C",y.push(l,u);break;case"Q":y.push(m.shift(),m.shift()),l=m.shift(),u=m.shift(),y.push(l,u);break;case"q":y.push(l+m.shift(),u+m.shift()),l+=m.shift(),u+=m.shift(),b="Q",y.push(l,u);break;case"T":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l=m.shift(),u=m.shift(),b="Q",y.push(E,P,l,u);break;case"t":E=l,P=u,T=s[s.length-1],T.command==="Q"&&(E=l+(l-T.points[0]),P=u+(u-T.points[1])),l+=m.shift(),u+=m.shift(),b="Q",y.push(E,P,l,u);break;case"A":k=m.shift(),O=m.shift(),M=m.shift(),G=m.shift(),U=m.shift(),A=l,N=u,l=m.shift(),u=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,G,U,k,O,M);break;case"a":k=m.shift(),O=m.shift(),M=m.shift(),G=m.shift(),U=m.shift(),A=l,N=u,l+=m.shift(),u+=m.shift(),b="A",y=this.convertEndpointToCenterParameterization(A,N,l,u,G,U,k,O,M);break}s.push({command:b||g,points:y,start:{x:S,y:C},pathLength:this.calcLength(S,C,b||g,y)})}(g==="z"||g==="Z")&&s.push({command:"z",points:[],start:void 0,pathLength:0})}return s}static calcLength(t,n,r,i){var o,s,a,l,u=Zn;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,pd.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,pd.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var d=i[4],f=i[5],p=i[4]+f,g=Math.PI/180;if(Math.abs(d-p)<g&&(g=Math.abs(d-p)),s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],d,0),f<0)for(l=d-g;l>p;l-=g)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;else for(l=d+g;l<p;l+=g)a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),s=a;return a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],p,0),o+=u.getLineLength(s.x,s.y,a.x,a.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,s,a,l,u){var d=u*(Math.PI/180),f=Math.cos(d)*(t-r)/2+Math.sin(d)*(n-i)/2,p=-1*Math.sin(d)*(t-r)/2+Math.cos(d)*(n-i)/2,g=f*f/(a*a)+p*p/(l*l);g>1&&(a*=Math.sqrt(g),l*=Math.sqrt(g));var m=Math.sqrt((a*a*(l*l)-a*a*(p*p)-l*l*(f*f))/(a*a*(p*p)+l*l*(f*f)));o===s&&(m*=-1),isNaN(m)&&(m=0);var v=m*a*p/l,x=m*-l*f/a,_=(t+r)/2+Math.cos(d)*v-Math.sin(d)*x,b=(n+i)/2+Math.sin(d)*v+Math.cos(d)*x,y=function(O){return Math.sqrt(O[0]*O[0]+O[1]*O[1])},S=function(O,M){return(O[0]*M[0]+O[1]*M[1])/(y(O)*y(M))},C=function(O,M){return(O[0]*M[1]<O[1]*M[0]?-1:1)*Math.acos(S(O,M))},T=C([1,0],[(f-v)/a,(p-x)/l]),E=[(f-v)/a,(p-x)/l],P=[(-1*f-v)/a,(-1*p-x)/l],k=C(E,P);return S(E,P)<=-1&&(k=Math.PI),S(E,P)>=1&&(k=0),s===0&&k>0&&(k=k-2*Math.PI),s===1&&k<0&&(k=k+2*Math.PI),[_,b,a,l,T,k,d,s]}}Hf.Path=Zn;Zn.prototype.className="Path";Zn.prototype._attrsAffectingSize=["data"];(0,m2e._registerNode)(Zn);p2e.Factory.addGetterSetter(Zn,"data");Object.defineProperty(fS,"__esModule",{value:!0});fS.Arrow=void 0;const pS=nt,y2e=Rm,rz=ke,v2e=rt,JO=Hf;class bc extends y2e.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var s=this.pointerLength(),a=r.length,l,u;if(o){const p=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[a-2],r[a-1]],g=JO.Path.calcLength(i[i.length-4],i[i.length-3],"C",p),m=JO.Path.getPointOnQuadraticBezier(Math.min(1,1-s/g),p[0],p[1],p[2],p[3],p[4],p[5]);l=r[a-2]-m.x,u=r[a-1]-m.y}else l=r[a-2]-r[a-4],u=r[a-1]-r[a-3];var d=(Math.atan2(u,l)+n)%n,f=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[a-2],r[a-1]),t.rotate(d),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-s,f/2),t.lineTo(-s,-f/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}fS.Arrow=bc;bc.prototype.className="Arrow";(0,v2e._registerNode)(bc);pS.Factory.addGetterSetter(bc,"pointerLength",10,(0,rz.getNumberValidator)());pS.Factory.addGetterSetter(bc,"pointerWidth",10,(0,rz.getNumberValidator)());pS.Factory.addGetterSetter(bc,"pointerAtBeginning",!1);pS.Factory.addGetterSetter(bc,"pointerAtEnding",!0);var gS={};Object.defineProperty(gS,"__esModule",{value:!0});gS.Circle=void 0;const _2e=nt,b2e=rr,S2e=ke,w2e=rt;let Wf=class extends b2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};gS.Circle=Wf;Wf.prototype._centroid=!0;Wf.prototype.className="Circle";Wf.prototype._attrsAffectingSize=["radius"];(0,w2e._registerNode)(Wf);_2e.Factory.addGetterSetter(Wf,"radius",0,(0,S2e.getNumberValidator)());var mS={};Object.defineProperty(mS,"__esModule",{value:!0});mS.Ellipse=void 0;const xE=nt,x2e=rr,iz=ke,C2e=rt;class ou extends x2e.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}mS.Ellipse=ou;ou.prototype.className="Ellipse";ou.prototype._centroid=!0;ou.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,C2e._registerNode)(ou);xE.Factory.addComponentsGetterSetter(ou,"radius",["x","y"]);xE.Factory.addGetterSetter(ou,"radiusX",0,(0,iz.getNumberValidator)());xE.Factory.addGetterSetter(ou,"radiusY",0,(0,iz.getNumberValidator)());var yS={};Object.defineProperty(yS,"__esModule",{value:!0});yS.Image=void 0;const Bx=Sn,Sc=nt,T2e=rr,E2e=rt,Om=ke;let Us=class oz extends T2e.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let s;if(o){const a=this.attrs.cropWidth,l=this.attrs.cropHeight;a&&l?s=[o,this.cropX(),this.cropY(),a,l,0,0,n,r]:s=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?Bx.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,s))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?Bx.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=Bx.Util.createImageElement();i.onload=function(){var o=new oz({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};yS.Image=Us;Us.prototype.className="Image";(0,E2e._registerNode)(Us);Sc.Factory.addGetterSetter(Us,"cornerRadius",0,(0,Om.getNumberOrArrayOfNumbersValidator)(4));Sc.Factory.addGetterSetter(Us,"image");Sc.Factory.addComponentsGetterSetter(Us,"crop",["x","y","width","height"]);Sc.Factory.addGetterSetter(Us,"cropX",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropY",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropWidth",0,(0,Om.getNumberValidator)());Sc.Factory.addGetterSetter(Us,"cropHeight",0,(0,Om.getNumberValidator)());var Rf={};Object.defineProperty(Rf,"__esModule",{value:!0});Rf.Tag=Rf.Label=void 0;const vS=nt,A2e=rr,P2e=jf,CE=ke,sz=rt;var az=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],R2e="Change.konva",O2e="none",l5="up",u5="right",c5="down",d5="left",k2e=az.length;class TE extends P2e.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<k2e;r++)t.on(az[r]+R2e,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,s,a,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),s=n.pointerWidth(),u=n.pointerHeight(),a=0,l=0,o){case l5:a=r/2,l=-1*u;break;case u5:a=r+s,l=i/2;break;case c5:a=r/2,l=i+u;break;case d5:a=-1*s,l=i/2;break}n.setAttrs({x:-1*a,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*a,y:-1*l})}}}Rf.Label=TE;TE.prototype.className="Label";(0,sz._registerNode)(TE);class wc extends A2e.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),s=this.pointerHeight(),a=this.cornerRadius();let l=0,u=0,d=0,f=0;typeof a=="number"?l=u=d=f=Math.min(a,n/2,r/2):(l=Math.min(a[0]||0,n/2,r/2),u=Math.min(a[1]||0,n/2,r/2),f=Math.min(a[2]||0,n/2,r/2),d=Math.min(a[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===l5&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*s),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===u5&&(t.lineTo(n,(r-s)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+s)/2)),t.lineTo(n,r-f),t.arc(n-f,r-f,f,0,Math.PI/2,!1),i===c5&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+s),t.lineTo((n-o)/2,r)),t.lineTo(d,r),t.arc(d,r-d,d,Math.PI/2,Math.PI,!1),i===d5&&(t.lineTo(0,(r+s)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-s)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),s=this.width(),a=this.height();return o===l5?(n-=i,a+=i):o===c5?a+=i:o===d5?(t-=r*1.5,s+=r):o===u5&&(s+=r*1.5),{x:t,y:n,width:s,height:a}}}Rf.Tag=wc;wc.prototype.className="Tag";(0,sz._registerNode)(wc);vS.Factory.addGetterSetter(wc,"pointerDirection",O2e);vS.Factory.addGetterSetter(wc,"pointerWidth",0,(0,CE.getNumberValidator)());vS.Factory.addGetterSetter(wc,"pointerHeight",0,(0,CE.getNumberValidator)());vS.Factory.addGetterSetter(wc,"cornerRadius",0,(0,CE.getNumberOrArrayOfNumbersValidator)(4));var km={};Object.defineProperty(km,"__esModule",{value:!0});km.Rect=void 0;const I2e=nt,M2e=rr,N2e=rt,L2e=Sn,D2e=ke;let _S=class extends M2e.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?L2e.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};km.Rect=_S;_S.prototype.className="Rect";(0,N2e._registerNode)(_S);I2e.Factory.addGetterSetter(_S,"cornerRadius",0,(0,D2e.getNumberOrArrayOfNumbersValidator)(4));var bS={};Object.defineProperty(bS,"__esModule",{value:!0});bS.RegularPolygon=void 0;const lz=nt,$2e=rr,uz=ke,F2e=rt;class xc extends $2e.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(s=>{n=Math.min(n,s.x),r=Math.max(r,s.x),i=Math.min(i,s.y),o=Math.max(o,s.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}bS.RegularPolygon=xc;xc.prototype.className="RegularPolygon";xc.prototype._centroid=!0;xc.prototype._attrsAffectingSize=["radius"];(0,F2e._registerNode)(xc);lz.Factory.addGetterSetter(xc,"radius",0,(0,uz.getNumberValidator)());lz.Factory.addGetterSetter(xc,"sides",0,(0,uz.getNumberValidator)());var SS={};Object.defineProperty(SS,"__esModule",{value:!0});SS.Ring=void 0;const cz=nt,B2e=rr,dz=ke,U2e=rt;var ek=Math.PI*2;class Cc extends B2e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,ek,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),ek,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}SS.Ring=Cc;Cc.prototype.className="Ring";Cc.prototype._centroid=!0;Cc.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,U2e._registerNode)(Cc);cz.Factory.addGetterSetter(Cc,"innerRadius",0,(0,dz.getNumberValidator)());cz.Factory.addGetterSetter(Cc,"outerRadius",0,(0,dz.getNumberValidator)());var wS={};Object.defineProperty(wS,"__esModule",{value:!0});wS.Sprite=void 0;const Tc=nt,z2e=rr,V2e=Gf,fz=ke,j2e=rt;class zs extends z2e.Shape{constructor(t){super(t),this._updated=!0,this.anim=new V2e.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+0],l=o[i+1],u=o[i+2],d=o[i+3],f=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,d),t.closePath(),t.fillStrokeShape(this)),f)if(s){var p=s[n],g=r*2;t.drawImage(f,a,l,u,d,p[g+0],p[g+1],u,d)}else t.drawImage(f,a,l,u,d,0,0,u,d)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],s=this.frameOffsets(),a=o[i+2],l=o[i+3];if(t.beginPath(),s){var u=s[n],d=r*2;t.rect(u[d+0],u[d+1],a,l)}else t.rect(0,0,a,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}wS.Sprite=zs;zs.prototype.className="Sprite";(0,j2e._registerNode)(zs);Tc.Factory.addGetterSetter(zs,"animation");Tc.Factory.addGetterSetter(zs,"animations");Tc.Factory.addGetterSetter(zs,"frameOffsets");Tc.Factory.addGetterSetter(zs,"image");Tc.Factory.addGetterSetter(zs,"frameIndex",0,(0,fz.getNumberValidator)());Tc.Factory.addGetterSetter(zs,"frameRate",17,(0,fz.getNumberValidator)());Tc.Factory.backCompat(zs,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var xS={};Object.defineProperty(xS,"__esModule",{value:!0});xS.Star=void 0;const EE=nt,G2e=rr,AE=ke,H2e=rt;class su extends G2e.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var s=o%2===0?r:n,a=s*Math.sin(o*Math.PI/i),l=-1*s*Math.cos(o*Math.PI/i);t.lineTo(a,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}xS.Star=su;su.prototype.className="Star";su.prototype._centroid=!0;su.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,H2e._registerNode)(su);EE.Factory.addGetterSetter(su,"numPoints",5,(0,AE.getNumberValidator)());EE.Factory.addGetterSetter(su,"innerRadius",0,(0,AE.getNumberValidator)());EE.Factory.addGetterSetter(su,"outerRadius",0,(0,AE.getNumberValidator)());var uc={};Object.defineProperty(uc,"__esModule",{value:!0});uc.Text=uc.stringToArray=void 0;const f5=Sn,fi=nt,W2e=rr,au=ke,q2e=rt;function hz(e){return Array.from(e)}uc.stringToArray=hz;var gd="auto",K2e="center",Zh="justify",X2e="Change.konva",Y2e="2d",tk="-",pz="left",Q2e="text",Z2e="Text",J2e="top",ewe="bottom",nk="middle",gz="normal",twe="px ",D0=" ",nwe="right",rwe="word",iwe="char",rk="none",Ux="…",mz=["fontFamily","fontSize","fontStyle","fontVariant","padding","align","verticalAlign","lineHeight","text","width","height","wrap","ellipsis","letterSpacing"],owe=mz.length;function swe(e){return e.split(",").map(t=>{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var $0;function zx(){return $0||($0=f5.Util.createCanvasElement().getContext(Y2e),$0)}function awe(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function lwe(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function uwe(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}class Dn extends W2e.Shape{constructor(t){super(uwe(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n<owe;n++)this.on(mz[n]+X2e,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),s=this.lineHeight()*o,a=this.verticalAlign(),l=0,u=this.align(),d=this.getWidth(),f=this.letterSpacing(),p=this.fill(),g=this.textDecoration(),m=g.indexOf("underline")!==-1,v=g.indexOf("line-through")!==-1,x,_=0,_=s/2,b=0,y=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",nk),t.setAttr("textAlign",pz),a===nk?l=(this.getHeight()-r*s-i*2)/2:a===ewe&&(l=this.getHeight()-r*s-i*2),t.translate(i,l+i),x=0;x<r;x++){var b=0,y=0,S=n[x],C=S.text,T=S.width,E=S.lastInParagraph,P,k,O;if(t.save(),u===nwe?b+=d-T-i*2:u===K2e&&(b+=(d-T-i*2)/2),m){t.save(),t.beginPath(),t.moveTo(b,_+y+Math.round(o/2)),P=C.split(" ").length-1,k=P===0,O=u===Zh&&!E?d-i*2:T,t.lineTo(b+Math.round(O),_+y+Math.round(o/2)),t.lineWidth=o/15;const F=this._getLinearGradient();t.strokeStyle=F||p,t.stroke(),t.restore()}if(v){t.save(),t.beginPath(),t.moveTo(b,_+y),P=C.split(" ").length-1,k=P===0,O=u===Zh&&E&&!k?d-i*2:T,t.lineTo(b+Math.round(O),_+y),t.lineWidth=o/15;const F=this._getLinearGradient();t.strokeStyle=F||p,t.stroke(),t.restore()}if(f!==0||u===Zh){P=C.split(" ").length-1;for(var M=hz(C),G=0;G<M.length;G++){var U=M[G];U===" "&&!E&&u===Zh&&(b+=(d-i*2-T)/P),this._partialTextX=b,this._partialTextY=_+y,this._partialText=U,t.fillStrokeShape(this),b+=this.measureSize(U).width+f}}else this._partialTextX=b,this._partialTextY=_+y,this._partialText=C,t.fillStrokeShape(this);t.restore(),r>1&&(_+=s)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=f5.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(Q2e,n),this}getWidth(){var t=this.attrs.width===gd||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===gd||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return f5.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}measureSize(t){var n=zx(),r=this.fontSize(),i;return n.save(),n.font=this._getContextFont(),i=n.measureText(t),n.restore(),{width:i.width,height:r}}_getContextFont(){return this.fontStyle()+D0+this.fontVariant()+D0+(this.fontSize()+twe)+swe(this.fontFamily())}_addTextLine(t){this.align()===Zh&&(t=t.trim());var r=this._getTextWidth(t);return this.textArr.push({text:t,width:r,lastInParagraph:!1})}_getTextWidth(t){var n=this.letterSpacing(),r=t.length;return zx().measureText(t).width+(r?n*(r-1):0)}_setTextData(){var t=this.text().split(`
-`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,s=this.attrs.height,a=o!==gd&&o!==void 0,l=s!==gd&&s!==void 0,u=this.padding(),d=o-u*2,f=s-u*2,p=0,g=this.wrap(),m=g!==rk,v=g!==iwe&&m,x=this.ellipsis();this.textArr=[],zx().font=this._getContextFont();for(var _=x?this._getTextWidth(Ux):0,b=0,y=t.length;b<y;++b){var S=t[b],C=this._getTextWidth(S);if(a&&C>d)for(;S.length>0;){for(var T=0,E=S.length,P="",k=0;T<E;){var O=T+E>>>1,M=S.slice(0,O+1),G=this._getTextWidth(M)+_;G<=d?(T=O+1,P=M,k=G):E=O}if(P){if(v){var U,A=S[P.length],N=A===D0||A===tk;N&&k<=d?U=P.length:U=Math.max(P.lastIndexOf(D0),P.lastIndexOf(tk))+1,U>0&&(T=U,P=P.slice(0,T),k=this._getTextWidth(P))}P=P.trimRight(),this._addTextLine(P),r=Math.max(r,k),p+=i;var F=this._shouldHandleEllipsis(p);if(F){this._tryToAddEllipsisToLastLine();break}if(S=S.slice(T),S=S.trimLeft(),S.length>0&&(C=this._getTextWidth(S),C<=d)){this._addTextLine(S),p+=i,r=Math.max(r,C);break}}else break}else this._addTextLine(S),p+=i,r=Math.max(r,C),this._shouldHandleEllipsis(p)&&b<y-1&&this._tryToAddEllipsisToLastLine();if(this.textArr[this.textArr.length-1]&&(this.textArr[this.textArr.length-1].lastInParagraph=!0),l&&p+i>f)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==gd&&i!==void 0,s=this.padding(),a=i-s*2,l=this.wrap(),u=l!==rk;return!u||o&&t+r>a}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==gd&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),s=this.textArr[this.textArr.length-1];if(!(!s||!o)){if(n){var a=this._getTextWidth(s.text+Ux)<i;a||(s.text=s.text.slice(0,s.text.length-3))}this.textArr.splice(this.textArr.length-1,1),this._addTextLine(s.text+Ux)}}getStrokeScaleEnabled(){return!0}}uc.Text=Dn;Dn.prototype._fillFunc=awe;Dn.prototype._strokeFunc=lwe;Dn.prototype.className=Z2e;Dn.prototype._attrsAffectingSize=["text","fontSize","padding","wrap","lineHeight","letterSpacing"];(0,q2e._registerNode)(Dn);fi.Factory.overWriteSetter(Dn,"width",(0,au.getNumberOrAutoValidator)());fi.Factory.overWriteSetter(Dn,"height",(0,au.getNumberOrAutoValidator)());fi.Factory.addGetterSetter(Dn,"fontFamily","Arial");fi.Factory.addGetterSetter(Dn,"fontSize",12,(0,au.getNumberValidator)());fi.Factory.addGetterSetter(Dn,"fontStyle",gz);fi.Factory.addGetterSetter(Dn,"fontVariant",gz);fi.Factory.addGetterSetter(Dn,"padding",0,(0,au.getNumberValidator)());fi.Factory.addGetterSetter(Dn,"align",pz);fi.Factory.addGetterSetter(Dn,"verticalAlign",J2e);fi.Factory.addGetterSetter(Dn,"lineHeight",1,(0,au.getNumberValidator)());fi.Factory.addGetterSetter(Dn,"wrap",rwe);fi.Factory.addGetterSetter(Dn,"ellipsis",!1,(0,au.getBooleanValidator)());fi.Factory.addGetterSetter(Dn,"letterSpacing",0,(0,au.getNumberValidator)());fi.Factory.addGetterSetter(Dn,"text","",(0,au.getStringValidator)());fi.Factory.addGetterSetter(Dn,"textDecoration","");var CS={};Object.defineProperty(CS,"__esModule",{value:!0});CS.TextPath=void 0;const Vx=Sn,is=nt,cwe=rr,Jh=Hf,jx=uc,yz=ke,dwe=rt;var fwe="",vz="normal";function _z(e){e.fillText(this.partialText,0,0)}function bz(e){e.strokeText(this.partialText,0,0)}class ir extends cwe.Shape{constructor(t){super(t),this.dummyCanvas=Vx.Util.createCanvasElement(),this.dataArray=[],this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute(),this._setTextData()}),this.on("textChange.konva alignChange.konva letterSpacingChange.konva kerningFuncChange.konva fontSizeChange.konva fontFamilyChange.konva",this._setTextData),this._setTextData()}_getTextPathLength(){return Jh.Path.getPathLength(this.dataArray)}_getPointAtLength(t){if(!this.attrs.data)return null;const n=this.pathLength;return t-1>n?null:Jh.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=Jh.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var s=0;s<o.length;s++){t.save();var a=o[s].p0;t.translate(a.x,a.y),t.rotate(o[s].rotation),this.partialText=o[s].text,t.fillStrokeShape(this),n==="underline"&&(s===0&&t.moveTo(0,i/2+1),t.lineTo(i,i/2+1)),t.restore()}n==="underline"&&(t.strokeStyle=r,t.lineWidth=i/20,t.stroke()),t.restore()}_hitFunc(t){t.beginPath();var n=this.glyphInfo;if(n.length>=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;i<n.length;i++){var o=n[i].p1;t.lineTo(o.x,o.y)}t.setAttr("lineWidth",this.fontSize()),t.setAttr("strokeStyle",this.colorKey),t.stroke()}getTextWidth(){return this.textWidth}getTextHeight(){return Vx.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}setText(t){return jx.Text.prototype.setText.call(this,t)}_getContextFont(){return jx.Text.prototype._getContextFont.call(this)}_getTextSize(t){var n=this.dummyCanvas,r=n.getContext("2d");r.save(),r.font=this._getContextFont();var i=r.measureText(t);return r.restore(),{width:i.width,height:parseInt(`${this.fontSize()}`,10)}}_setTextData(){const{width:t,height:n}=this._getTextSize(this.attrs.text);if(this.textWidth=t,this.textHeight=n,this.glyphInfo=[],!this.attrs.data)return null;const r=this.letterSpacing(),i=this.align(),o=this.kerningFunc(),s=Math.max(this.textWidth+((this.attrs.text||"").length-1)*r,0);let a=0;i==="center"&&(a=Math.max(0,this.pathLength/2-s/2)),i==="right"&&(a=Math.max(0,this.pathLength-s));const l=(0,jx.stringToArray)(this.text());let u=a;for(var d=0;d<l.length;d++){const f=this._getPointAtLength(u);if(!f)return;let p=this._getTextSize(l[d]).width+r;if(l[d]===" "&&i==="justify"){const b=this.text().split(" ").length-1;p+=(this.pathLength-s)/b}const g=this._getPointAtLength(u+p);if(!g)return;const m=Jh.Path.getLineLength(f.x,f.y,g.x,g.y);let v=0;if(o)try{v=o(l[d-1],l[d])*this.fontSize()}catch{v=0}f.x+=v,g.x+=v,this.textWidth+=v;const x=Jh.Path.getPointOnLine(v+m/2,f.x,f.y,g.x,g.y),_=Math.atan2(g.y-f.y,g.x-f.x);this.glyphInfo.push({transposeX:x.x,transposeY:x.y,text:l[d],rotation:_,p0:f,p1:g}),u+=p}}getSelfRect(){if(!this.glyphInfo.length)return{x:0,y:0,width:0,height:0};var t=[];this.glyphInfo.forEach(function(d){t.push(d.p0.x),t.push(d.p0.y),t.push(d.p1.x),t.push(d.p1.y)});for(var n=t[0]||0,r=t[0]||0,i=t[1]||0,o=t[1]||0,s,a,l=0;l<t.length/2;l++)s=t[l*2],a=t[l*2+1],n=Math.min(n,s),r=Math.max(r,s),i=Math.min(i,a),o=Math.max(o,a);var u=this.fontSize();return{x:n-u/2,y:i-u/2,width:r-n+u,height:o-i+u}}destroy(){return Vx.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}CS.TextPath=ir;ir.prototype._fillFunc=_z;ir.prototype._strokeFunc=bz;ir.prototype._fillFuncHit=_z;ir.prototype._strokeFuncHit=bz;ir.prototype.className="TextPath";ir.prototype._attrsAffectingSize=["text","fontSize","data"];(0,dwe._registerNode)(ir);is.Factory.addGetterSetter(ir,"data");is.Factory.addGetterSetter(ir,"fontFamily","Arial");is.Factory.addGetterSetter(ir,"fontSize",12,(0,yz.getNumberValidator)());is.Factory.addGetterSetter(ir,"fontStyle",vz);is.Factory.addGetterSetter(ir,"align","left");is.Factory.addGetterSetter(ir,"letterSpacing",0,(0,yz.getNumberValidator)());is.Factory.addGetterSetter(ir,"textBaseline","middle");is.Factory.addGetterSetter(ir,"fontVariant",vz);is.Factory.addGetterSetter(ir,"text",fwe);is.Factory.addGetterSetter(ir,"textDecoration",null);is.Factory.addGetterSetter(ir,"kerningFunc",null);var TS={};Object.defineProperty(TS,"__esModule",{value:!0});TS.Transformer=void 0;const zt=Sn,Ft=nt,ik=fn,hwe=rr,pwe=km,ok=jf,$o=rt,lu=ke,gwe=rt;var Sz="tr-konva",mwe=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${Sz}`).join(" "),sk="nodesRect",ywe=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],vwe={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const _we="ontouchstart"in $o.Konva._global;function bwe(e,t){if(e==="rotater")return"crosshair";t+=zt.Util.degToRad(vwe[e]||0);var n=(zt.Util.radToDeg(t)%360+360)%360;return zt.Util._inRange(n,315+22.5,360)||zt.Util._inRange(n,0,22.5)?"ns-resize":zt.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":zt.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":zt.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":zt.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":zt.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":zt.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":zt.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(zt.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var e_=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],ak=1e8;function Swe(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function wz(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function wwe(e,t){const n=Swe(e);return wz(e,t,n)}function xwe(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=$o.Konva.getAngle(e[i]),s=Math.abs(o-t)%(Math.PI*2);Math.min(s,Math.PI*2-s)<n&&(r=o)}return r}class Ct extends ok.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(mwe,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return zt.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return Sz+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(zt.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},s=i._attrsAffectingSize.map(a=>a+"Change."+this._getEventNamespace()).join(" ");i.on(s,o),i.on(ywe.map(a=>a+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,s=i.y-n.y;this.nodes().forEach(a=>{if(a===t||a.isDragging())return;const l=a.getAbsolutePosition();a.setAbsolutePosition({x:l.x+o,y:l.y+s}),a.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(sk),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(sk,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),s=t.getAbsolutePosition(r),a=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=($o.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),d={x:s.x+a*Math.cos(u)+l*Math.sin(-u),y:s.y+l*Math.cos(u)+a*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return wz(d,-$o.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-ak,y:-ak,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const d=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var f=[{x:d.x,y:d.y},{x:d.x+d.width,y:d.y},{x:d.x+d.width,y:d.y+d.height},{x:d.x,y:d.y+d.height}],p=u.getAbsoluteTransform();f.forEach(function(g){var m=p.point(g);n.push(m)})});const r=new zt.Transform;r.rotate(-$o.Konva.getAngle(this.rotation()));var i,o,s,a;n.forEach(function(u){var d=r.point(u);i===void 0&&(i=s=d.x,o=a=d.y),i=Math.min(i,d.x),o=Math.min(o,d.y),s=Math.max(s,d.x),a=Math.max(a,d.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:s-i,height:a-o,rotation:$o.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),e_.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new pwe.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:_we?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=$o.Konva.getAngle(this.rotation()),o=bwe(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new hwe.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*zt.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var s=t.target.getAbsolutePosition(),a=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:a.x-s.x,y:a.y-s.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),s=o.getStage();s.setPointersPositions(t);const a=s.getPointerPosition();let l={x:a.x-this._anchorDragOffset.x,y:a.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const d=o.getAbsolutePosition();if(!(u.x===d.x&&u.y===d.y)){if(this._movingAnchorName==="rotater"){var f=this._getNodeRect();n=o.x()-f.width/2,r=-o.y()+f.height/2;let U=Math.atan2(-r,n)+Math.PI/2;f.height<0&&(U-=Math.PI);var p=$o.Konva.getAngle(this.rotation());const A=p+U,N=$o.Konva.getAngle(this.rotationSnapTolerance()),B=xwe(this.rotationSnaps(),A,N)-f.rotation,D=wwe(f,B);this._fitNodesInto(D,t);return}var g=this.shiftBehavior(),m;g==="inverted"?m=this.keepRatio()&&!t.shiftKey:g==="none"?m=this.keepRatio():m=this.keepRatio()||t.shiftKey;var y=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(v.x-o.x(),2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-left").x()>v.x?-1:1,_=this.findOne(".top-left").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-left").x(v.x-n),this.findOne(".top-left").y(v.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-v.x,2)+Math.pow(v.y-o.y(),2));var x=this.findOne(".top-right").x()<v.x?-1:1,_=this.findOne(".top-right").y()>v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".top-right").x(v.x+n),this.findOne(".top-right").y(v.y-r)}var b=o.position();this.findOne(".top-left").y(b.y),this.findOne(".bottom-right").x(b.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(v.x-o.x(),2)+Math.pow(o.y()-v.y,2));var x=v.x<o.x()?-1:1,_=o.y()<v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,o.x(v.x-n),o.y(v.y+r)}b=o.position(),this.findOne(".top-left").x(b.x),this.findOne(".bottom-right").y(b.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(m){var v=y?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-v.x,2)+Math.pow(o.y()-v.y,2));var x=this.findOne(".bottom-right").x()<v.x?-1:1,_=this.findOne(".bottom-right").y()<v.y?-1:1;n=i*this.cos*x,r=i*this.sin*_,this.findOne(".bottom-right").x(v.x+n),this.findOne(".bottom-right").y(v.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var y=this.centeredScaling()||t.altKey;if(y){var S=this.findOne(".top-left"),C=this.findOne(".bottom-right"),T=S.x(),E=S.y(),P=this.getWidth()-C.x(),k=this.getHeight()-C.y();C.move({x:-T,y:-E}),S.move({x:P,y:k})}var O=this.findOne(".top-left").getAbsolutePosition();n=O.x,r=O.y;var M=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),G=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:M,height:G,rotation:$o.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(zt.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(zt.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var s=new zt.Transform;if(s.rotate($o.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const f=s.point({x:-this.padding()*2,y:0});if(t.x+=f.x,t.y+=f.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const f=s.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const f=s.point({x:0,y:-this.padding()*2});if(t.x+=f.x,t.y+=f.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const f=s.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=f.x,this._anchorDragOffset.y-=f.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const f=this.boundBoxFunc()(r,t);f?t=f:zt.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const a=1e7,l=new zt.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/a,r.height/a);const u=new zt.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/a,t.height/a);const d=u.multiply(l.invert());this._nodes.forEach(f=>{var p;const g=f.getParent().getAbsoluteTransform(),m=f.getTransform().copy();m.translate(f.offsetX(),f.offsetY());const v=new zt.Transform;v.multiply(g.copy().invert()).multiply(d).multiply(g).multiply(m);const x=v.decompose();f.setAttrs(x),this._fire("transform",{evt:n,target:f}),f._fire("transform",{evt:n,target:f}),(p=f.getLayer())===null||p===void 0||p.batchDraw()}),this.rotation(zt.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(zt.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),s=this.resizeEnabled(),a=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(f=>{f.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+a,offsetY:l/2+a,visible:s&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+a,visible:s&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-a,offsetY:l/2+a,visible:s&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+a,visible:s&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-a,visible:s&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-a,visible:s&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-a,offsetY:l/2-a,visible:s&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*zt.Util._sign(i)-a,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const d=this.anchorStyleFunc();d&&u.forEach(f=>{d(f)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),ok.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return ik.Node.prototype.toObject.call(this)}clone(t){var n=ik.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}TS.Transformer=Ct;function Cwe(e){return e instanceof Array||zt.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){e_.indexOf(t)===-1&&zt.Util.warn("Unknown anchor name: "+t+". Available names are: "+e_.join(", "))}),e||[]}Ct.prototype.className="Transformer";(0,gwe._registerNode)(Ct);Ft.Factory.addGetterSetter(Ct,"enabledAnchors",e_,Cwe);Ft.Factory.addGetterSetter(Ct,"flipEnabled",!0,(0,lu.getBooleanValidator)());Ft.Factory.addGetterSetter(Ct,"resizeEnabled",!0);Ft.Factory.addGetterSetter(Ct,"anchorSize",10,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"rotateEnabled",!0);Ft.Factory.addGetterSetter(Ct,"rotationSnaps",[]);Ft.Factory.addGetterSetter(Ct,"rotateAnchorOffset",50,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"rotationSnapTolerance",5,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderEnabled",!0);Ft.Factory.addGetterSetter(Ct,"anchorStroke","rgb(0, 161, 255)");Ft.Factory.addGetterSetter(Ct,"anchorStrokeWidth",1,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"anchorFill","white");Ft.Factory.addGetterSetter(Ct,"anchorCornerRadius",0,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderStroke","rgb(0, 161, 255)");Ft.Factory.addGetterSetter(Ct,"borderStrokeWidth",1,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"borderDash");Ft.Factory.addGetterSetter(Ct,"keepRatio",!0);Ft.Factory.addGetterSetter(Ct,"shiftBehavior","default");Ft.Factory.addGetterSetter(Ct,"centeredScaling",!1);Ft.Factory.addGetterSetter(Ct,"ignoreStroke",!1);Ft.Factory.addGetterSetter(Ct,"padding",0,(0,lu.getNumberValidator)());Ft.Factory.addGetterSetter(Ct,"node");Ft.Factory.addGetterSetter(Ct,"nodes");Ft.Factory.addGetterSetter(Ct,"boundBoxFunc");Ft.Factory.addGetterSetter(Ct,"anchorDragBoundFunc");Ft.Factory.addGetterSetter(Ct,"anchorStyleFunc");Ft.Factory.addGetterSetter(Ct,"shouldOverdrawWholeArea",!1);Ft.Factory.addGetterSetter(Ct,"useSingleNodeRotation",!0);Ft.Factory.backCompat(Ct,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var ES={};Object.defineProperty(ES,"__esModule",{value:!0});ES.Wedge=void 0;const AS=nt,Twe=rr,Ewe=rt,xz=ke,Awe=rt;class za extends Twe.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,Ewe.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}ES.Wedge=za;za.prototype.className="Wedge";za.prototype._centroid=!0;za.prototype._attrsAffectingSize=["radius"];(0,Awe._registerNode)(za);AS.Factory.addGetterSetter(za,"radius",0,(0,xz.getNumberValidator)());AS.Factory.addGetterSetter(za,"angle",0,(0,xz.getNumberValidator)());AS.Factory.addGetterSetter(za,"clockwise",!1);AS.Factory.backCompat(za,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var PS={};Object.defineProperty(PS,"__esModule",{value:!0});PS.Blur=void 0;const lk=nt,Pwe=fn,Rwe=ke;function uk(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var Owe=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],kwe=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function Iwe(e,t){var n=e.data,r=e.width,i=e.height,o,s,a,l,u,d,f,p,g,m,v,x,_,b,y,S,C,T,E,P,k,O,M,G,U=t+t+1,A=r-1,N=i-1,F=t+1,B=F*(F+1)/2,D=new uk,V=null,j=D,q=null,Z=null,ee=Owe[t],ie=kwe[t];for(a=1;a<U;a++)j=j.next=new uk,a===F&&(V=j);for(j.next=D,f=d=0,s=0;s<i;s++){for(S=C=T=E=p=g=m=v=0,x=F*(P=n[d]),_=F*(k=n[d+1]),b=F*(O=n[d+2]),y=F*(M=n[d+3]),p+=B*P,g+=B*k,m+=B*O,v+=B*M,j=D,a=0;a<F;a++)j.r=P,j.g=k,j.b=O,j.a=M,j=j.next;for(a=1;a<F;a++)l=d+((A<a?A:a)<<2),p+=(j.r=P=n[l])*(G=F-a),g+=(j.g=k=n[l+1])*G,m+=(j.b=O=n[l+2])*G,v+=(j.a=M=n[l+3])*G,S+=P,C+=k,T+=O,E+=M,j=j.next;for(q=D,Z=V,o=0;o<r;o++)n[d+3]=M=v*ee>>ie,M!==0?(M=255/M,n[d]=(p*ee>>ie)*M,n[d+1]=(g*ee>>ie)*M,n[d+2]=(m*ee>>ie)*M):n[d]=n[d+1]=n[d+2]=0,p-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=f+((l=o+t+1)<A?l:A)<<2,S+=q.r=n[l],C+=q.g=n[l+1],T+=q.b=n[l+2],E+=q.a=n[l+3],p+=S,g+=C,m+=T,v+=E,q=q.next,x+=P=Z.r,_+=k=Z.g,b+=O=Z.b,y+=M=Z.a,S-=P,C-=k,T-=O,E-=M,Z=Z.next,d+=4;f+=r}for(o=0;o<r;o++){for(C=T=E=S=g=m=v=p=0,d=o<<2,x=F*(P=n[d]),_=F*(k=n[d+1]),b=F*(O=n[d+2]),y=F*(M=n[d+3]),p+=B*P,g+=B*k,m+=B*O,v+=B*M,j=D,a=0;a<F;a++)j.r=P,j.g=k,j.b=O,j.a=M,j=j.next;for(u=r,a=1;a<=t;a++)d=u+o<<2,p+=(j.r=P=n[d])*(G=F-a),g+=(j.g=k=n[d+1])*G,m+=(j.b=O=n[d+2])*G,v+=(j.a=M=n[d+3])*G,S+=P,C+=k,T+=O,E+=M,j=j.next,a<N&&(u+=r);for(d=o,q=D,Z=V,s=0;s<i;s++)l=d<<2,n[l+3]=M=v*ee>>ie,M>0?(M=255/M,n[l]=(p*ee>>ie)*M,n[l+1]=(g*ee>>ie)*M,n[l+2]=(m*ee>>ie)*M):n[l]=n[l+1]=n[l+2]=0,p-=x,g-=_,m-=b,v-=y,x-=q.r,_-=q.g,b-=q.b,y-=q.a,l=o+((l=s+F)<N?l:N)*r<<2,p+=S+=q.r=n[l],g+=C+=q.g=n[l+1],m+=T+=q.b=n[l+2],v+=E+=q.a=n[l+3],q=q.next,x+=P=Z.r,_+=k=Z.g,b+=O=Z.b,y+=M=Z.a,S-=P,C-=k,T-=O,E-=M,Z=Z.next,d+=r}}const Mwe=function(t){var n=Math.round(this.blurRadius());n>0&&Iwe(t,n)};PS.Blur=Mwe;lk.Factory.addGetterSetter(Pwe.Node,"blurRadius",0,(0,Rwe.getNumberValidator)(),lk.Factory.afterSetFilter);var RS={};Object.defineProperty(RS,"__esModule",{value:!0});RS.Brighten=void 0;const ck=nt,Nwe=fn,Lwe=ke,Dwe=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};RS.Brighten=Dwe;ck.Factory.addGetterSetter(Nwe.Node,"brightness",0,(0,Lwe.getNumberValidator)(),ck.Factory.afterSetFilter);var OS={};Object.defineProperty(OS,"__esModule",{value:!0});OS.Contrast=void 0;const dk=nt,$we=fn,Fwe=ke,Bwe=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,s=150,a;for(a=0;a<r;a+=4)i=n[a],o=n[a+1],s=n[a+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,s/=255,s-=.5,s*=t,s+=.5,s*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,s=s<0?0:s>255?255:s,n[a]=i,n[a+1]=o,n[a+2]=s};OS.Contrast=Bwe;dk.Factory.addGetterSetter($we.Node,"contrast",0,(0,Fwe.getNumberValidator)(),dk.Factory.afterSetFilter);var kS={};Object.defineProperty(kS,"__esModule",{value:!0});kS.Emboss=void 0;const ql=nt,IS=fn,Uwe=Sn,Cz=ke,zwe=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,s=0,a=e.data,l=e.width,u=e.height,d=l*4,f=u;switch(r){case"top-left":o=-1,s=-1;break;case"top":o=-1,s=0;break;case"top-right":o=-1,s=1;break;case"right":o=0,s=1;break;case"bottom-right":o=1,s=1;break;case"bottom":o=1,s=0;break;case"bottom-left":o=1,s=-1;break;case"left":o=0,s=-1;break;default:Uwe.Util.error("Unknown emboss direction: "+r)}do{var p=(f-1)*d,g=o;f+g<1&&(g=0),f+g>u&&(g=0);var m=(f-1+g)*l*4,v=l;do{var x=p+(v-1)*4,_=s;v+_<1&&(_=0),v+_>l&&(_=0);var b=m+(v-1+_)*4,y=a[x]-a[b],S=a[x+1]-a[b+1],C=a[x+2]-a[b+2],T=y,E=T>0?T:-T,P=S>0?S:-S,k=C>0?C:-C;if(P>E&&(T=S),k>E&&(T=C),T*=t,i){var O=a[x]+T,M=a[x+1]+T,G=a[x+2]+T;a[x]=O>255?255:O<0?0:O,a[x+1]=M>255?255:M<0?0:M,a[x+2]=G>255?255:G<0?0:G}else{var U=n-T;U<0?U=0:U>255&&(U=255),a[x]=a[x+1]=a[x+2]=U}}while(--v)}while(--f)};kS.Emboss=zwe;ql.Factory.addGetterSetter(IS.Node,"embossStrength",.5,(0,Cz.getNumberValidator)(),ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossWhiteLevel",.5,(0,Cz.getNumberValidator)(),ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossDirection","top-left",null,ql.Factory.afterSetFilter);ql.Factory.addGetterSetter(IS.Node,"embossBlend",!1,null,ql.Factory.afterSetFilter);var MS={};Object.defineProperty(MS,"__esModule",{value:!0});MS.Enhance=void 0;const fk=nt,Vwe=fn,jwe=ke;function Gx(e,t,n,r,i){var o=n-t,s=i-r,a;return o===0?r+s/2:s===0?r:(a=(e-t)/o,a=s*a+r,a)}const Gwe=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,s=t[1],a=s,l,u=t[2],d=u,f,p,g=this.enhance();if(g!==0){for(p=0;p<n;p+=4)o=t[p+0],o<r?r=o:o>i&&(i=o),l=t[p+1],l<s?s=l:l>a&&(a=l),f=t[p+2],f<u?u=f:f>d&&(d=f);i===r&&(i=255,r=0),a===s&&(a=255,s=0),d===u&&(d=255,u=0);var m,v,x,_,b,y,S,C,T;for(g>0?(v=i+g*(255-i),x=r-g*(r-0),b=a+g*(255-a),y=s-g*(s-0),C=d+g*(255-d),T=u-g*(u-0)):(m=(i+r)*.5,v=i+g*(i-m),x=r+g*(r-m),_=(a+s)*.5,b=a+g*(a-_),y=s+g*(s-_),S=(d+u)*.5,C=d+g*(d-S),T=u+g*(u-S)),p=0;p<n;p+=4)t[p+0]=Gx(t[p+0],r,i,x,v),t[p+1]=Gx(t[p+1],s,a,y,b),t[p+2]=Gx(t[p+2],u,d,T,C)}};MS.Enhance=Gwe;fk.Factory.addGetterSetter(Vwe.Node,"enhance",0,(0,jwe.getNumberValidator)(),fk.Factory.afterSetFilter);var NS={};Object.defineProperty(NS,"__esModule",{value:!0});NS.Grayscale=void 0;const Hwe=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};NS.Grayscale=Hwe;var LS={};Object.defineProperty(LS,"__esModule",{value:!0});LS.HSL=void 0;const Of=nt,PE=fn,RE=ke;Of.Factory.addGetterSetter(PE.Node,"hue",0,(0,RE.getNumberValidator)(),Of.Factory.afterSetFilter);Of.Factory.addGetterSetter(PE.Node,"saturation",0,(0,RE.getNumberValidator)(),Of.Factory.afterSetFilter);Of.Factory.addGetterSetter(PE.Node,"luminance",0,(0,RE.getNumberValidator)(),Of.Factory.afterSetFilter);const Wwe=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s=this.luminance()*127,a,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),d=.299*r+.701*l+.167*u,f=.587*r-.587*l+.33*u,p=.114*r-.114*l-.497*u,g=.299*r-.299*l-.328*u,m=.587*r+.413*l+.035*u,v=.114*r-.114*l+.293*u,x=.299*r-.3*l+1.25*u,_=.587*r-.586*l-1.05*u,b=.114*r+.886*l-.2*u,y,S,C,T;for(a=0;a<n;a+=4)y=t[a+0],S=t[a+1],C=t[a+2],T=t[a+3],t[a+0]=d*y+f*S+p*C+s,t[a+1]=g*y+m*S+v*C+s,t[a+2]=x*y+_*S+b*C+s,t[a+3]=T};LS.HSL=Wwe;var DS={};Object.defineProperty(DS,"__esModule",{value:!0});DS.HSV=void 0;const kf=nt,OE=fn,kE=ke,qwe=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,s,a=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*a+.167*l,d=.587*r-.587*a+.33*l,f=.114*r-.114*a-.497*l,p=.299*r-.299*a-.328*l,g=.587*r+.413*a+.035*l,m=.114*r-.114*a+.293*l,v=.299*r-.3*a+1.25*l,x=.587*r-.586*a-1.05*l,_=.114*r+.886*a-.2*l,b,y,S,C;for(s=0;s<n;s+=4)b=t[s+0],y=t[s+1],S=t[s+2],C=t[s+3],t[s+0]=u*b+d*y+f*S,t[s+1]=p*b+g*y+m*S,t[s+2]=v*b+x*y+_*S,t[s+3]=C};DS.HSV=qwe;kf.Factory.addGetterSetter(OE.Node,"hue",0,(0,kE.getNumberValidator)(),kf.Factory.afterSetFilter);kf.Factory.addGetterSetter(OE.Node,"saturation",0,(0,kE.getNumberValidator)(),kf.Factory.afterSetFilter);kf.Factory.addGetterSetter(OE.Node,"value",0,(0,kE.getNumberValidator)(),kf.Factory.afterSetFilter);var $S={};Object.defineProperty($S,"__esModule",{value:!0});$S.Invert=void 0;const Kwe=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};$S.Invert=Kwe;var FS={};Object.defineProperty(FS,"__esModule",{value:!0});FS.Kaleidoscope=void 0;const t_=nt,Tz=fn,hk=Sn,Ez=ke;var Xwe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,d,f,p=0,g=0,m=0,v=0,x,_=Math.sqrt(a*a+l*l);d=o-a,f=s-l,x=Math.sqrt(d*d+f*f),_=x>_?x:_;var b=s,y=o,S,C,T=360/y*Math.PI/180,E,P;for(C=0;C<y;C+=1)for(E=Math.sin(C*T),P=Math.cos(C*T),S=0;S<b;S+=1)d=Math.floor(a+_*S/b*P),f=Math.floor(l+_*S/b*E),u=(f*o+d)*4,p=r[u+0],g=r[u+1],m=r[u+2],v=r[u+3],u=(C+S*o)*4,i[u+0]=p,i[u+1]=g,i[u+2]=m,i[u+3]=v},Ywe=function(e,t,n){var r=e.data,i=t.data,o=e.width,s=e.height,a=n.polarCenterX||o/2,l=n.polarCenterY||s/2,u,d,f,p,g,m=0,v=0,x=0,_=0,b,y=Math.sqrt(a*a+l*l);d=o-a,f=s-l,b=Math.sqrt(d*d+f*f),y=b>y?b:y;var S=s,C=o,T,E,P=n.polarRotation||0,k,O;for(d=0;d<o;d+=1)for(f=0;f<s;f+=1)p=d-a,g=f-l,T=Math.sqrt(p*p+g*g)*S/y,E=(Math.atan2(g,p)*180/Math.PI+360+P)%360,E=E*C/360,k=Math.floor(E),O=Math.floor(T),u=(O*o+k)*4,m=r[u+0],v=r[u+1],x=r[u+2],_=r[u+3],u=(f*o+d)*4,i[u+0]=m,i[u+1]=v,i[u+2]=x,i[u+3]=_};const Qwe=function(e){var t=e.width,n=e.height,r,i,o,s,a,l,u,d,f,p,g=Math.round(this.kaleidoscopePower()),m=Math.round(this.kaleidoscopeAngle()),v=Math.floor(t*(m%360)/360);if(!(g<1)){var x=hk.Util.createCanvasElement();x.width=t,x.height=n;var _=x.getContext("2d").getImageData(0,0,t,n);hk.Util.releaseCanvas(x),Xwe(e,_,{polarCenterX:t/2,polarCenterY:n/2});for(var b=t/Math.pow(2,g);b<=8;)b=b*2,g-=1;b=Math.ceil(b);var y=b,S=0,C=y,T=1;for(v+b>t&&(S=y,C=0,T=-1),i=0;i<n;i+=1)for(r=S;r!==C;r+=T)o=Math.round(r+v)%t,f=(t*i+o)*4,a=_.data[f+0],l=_.data[f+1],u=_.data[f+2],d=_.data[f+3],p=(t*i+r)*4,_.data[p+0]=a,_.data[p+1]=l,_.data[p+2]=u,_.data[p+3]=d;for(i=0;i<n;i+=1)for(y=Math.floor(b),s=0;s<g;s+=1){for(r=0;r<y+1;r+=1)f=(t*i+r)*4,a=_.data[f+0],l=_.data[f+1],u=_.data[f+2],d=_.data[f+3],p=(t*i+y*2-r-1)*4,_.data[p+0]=a,_.data[p+1]=l,_.data[p+2]=u,_.data[p+3]=d;y*=2}Ywe(_,e,{polarRotation:0})}};FS.Kaleidoscope=Qwe;t_.Factory.addGetterSetter(Tz.Node,"kaleidoscopePower",2,(0,Ez.getNumberValidator)(),t_.Factory.afterSetFilter);t_.Factory.addGetterSetter(Tz.Node,"kaleidoscopeAngle",0,(0,Ez.getNumberValidator)(),t_.Factory.afterSetFilter);var BS={};Object.defineProperty(BS,"__esModule",{value:!0});BS.Mask=void 0;const pk=nt,Zwe=fn,Jwe=ke;function F0(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function ep(e,t){return Math.sqrt(Math.pow(e[0]-t[0],2)+Math.pow(e[1]-t[1],2)+Math.pow(e[2]-t[2],2))}function exe(e){for(var t=[0,0,0],n=0;n<e.length;n++)t[0]+=e[n][0],t[1]+=e[n][1],t[2]+=e[n][2];return t[0]/=e.length,t[1]/=e.length,t[2]/=e.length,t}function txe(e,t){var n=F0(e,0,0),r=F0(e,e.width-1,0),i=F0(e,0,e.height-1),o=F0(e,e.width-1,e.height-1),s=t||10;if(ep(n,r)<s&&ep(r,o)<s&&ep(o,i)<s&&ep(i,n)<s){for(var a=exe([r,n,o,i]),l=[],u=0;u<e.width*e.height;u++){var d=ep(a,[e.data[u*4],e.data[u*4+1],e.data[u*4+2]]);l[u]=d<s?0:255}return l}}function nxe(e,t){for(var n=0;n<e.width*e.height;n++)e.data[4*n+3]=t[n]}function rxe(e,t,n){for(var r=[1,1,1,1,0,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d===255*8?255:0}return s}function ixe(e,t,n){for(var r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d>=255*4?255:0}return s}function oxe(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),s=[],a=0;a<n;a++)for(var l=0;l<t;l++){for(var u=a*t+l,d=0,f=0;f<i;f++)for(var p=0;p<i;p++){var g=a+f-o,m=l+p-o;if(g>=0&&g<n&&m>=0&&m<t){var v=g*t+m,x=r[f*i+p];d+=e[v]*x}}s[u]=d}return s}const sxe=function(e){var t=this.threshold(),n=txe(e,t);return n&&(n=rxe(n,e.width,e.height),n=ixe(n,e.width,e.height),n=oxe(n,e.width,e.height),nxe(e,n)),e};BS.Mask=sxe;pk.Factory.addGetterSetter(Zwe.Node,"threshold",0,(0,Jwe.getNumberValidator)(),pk.Factory.afterSetFilter);var 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r=t[n],i=n===t.length-1;ME(r,this.supportsBinary,o=>{const s={};try{Ok&&this.ws.send(o)}catch{}i&&DE(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){typeof this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){const t=this.opts.secure?"wss":"ws",n=this.query||{};return this.opts.timestampRequests&&(n[this.opts.timestampParam]=Bz()),this.supportsBinary||(n.b64=1),this.createUri(t,n)}check(){return!!z0}}function f3e(e,t){return e.type==="message"&&typeof e.data!="string"&&t[0]>=48&&t[0]<=54}class h3e extends LE{get name(){return"webtransport"}doOpen(){typeof WebTransport=="function"&&(this.transport=new WebTransport(this.createUri("https"),this.opts.transportOptions[this.name]),this.transport.closed.then(()=>{this.onClose()}).catch(t=>{this.onError("webtransport error",t)}),this.transport.ready.then(()=>{this.transport.createBidirectionalStream().then(t=>{const n=t.readable.getReader();this.writer=t.writable.getWriter();let r;const i=()=>{n.read().then(({done:s,value:a})=>{s||(!r&&a.byteLength===1&&a[0]===54?r=!0:(this.onPacket(XCe(a,r,"arraybuffer")),r=!1),i())}).catch(s=>{})};i();const o=this.query.sid?`0{"sid":"${this.query.sid}"}`:"0";this.writer.write(new TextEncoder().encode(o)).then(()=>this.onOpen())})}))}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;jCe(r,o=>{f3e(r,o)&&this.writer.write(Uint8Array.of(54)),this.writer.write(o).then(()=>{i&&DE(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})})}}doClose(){var t;(t=this.transport)===null||t===void 0||t.close()}}const p3e={websocket:d3e,webtransport:h3e,polling:u3e},g3e=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,m3e=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function p5(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=g3e.exec(e||""),o={},s=14;for(;s--;)o[m3e[s]]=i[s]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=y3e(o,o.path),o.queryKey=v3e(o,o.query),o}function y3e(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function v3e(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let Vz=class Sd extends Hn{constructor(t,n={}){super(),this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=p5(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=p5(n.host).host),YS(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=r3e(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=Dz,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new p3e[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Sd.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;Sd.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",f=>{if(!r)if(f.type==="pong"&&f.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;Sd.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(d(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const p=new Error("probe error");p.transport=n.name,this.emitReserved("upgradeError",p)}}))};function o(){r||(r=!0,d(),n.close(),n=null)}const s=f=>{const p=new Error("probe error: "+f);p.transport=n.name,o(),this.emitReserved("upgradeError",p)};function a(){s("transport closed")}function l(){s("socket closed")}function u(f){n&&f.name!==n.name&&o()}const d=()=>{n.removeListener("open",i),n.removeListener("error",s),n.removeListener("close",a),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",s),n.once("close",a),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",Sd.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=e3e(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){Sd.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};Vz.protocol=Dz;function _3e(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=p5(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const b3e=typeof ArrayBuffer=="function",S3e=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,jz=Object.prototype.toString,w3e=typeof Blob=="function"||typeof Blob<"u"&&jz.call(Blob)==="[object BlobConstructor]",x3e=typeof File=="function"||typeof File<"u"&&jz.call(File)==="[object FileConstructor]";function $E(e){return b3e&&(e instanceof ArrayBuffer||S3e(e))||w3e&&e instanceof Blob||x3e&&e instanceof File}function xv(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(xv(e[n]))return!0;return!1}if($E(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return xv(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&xv(e[n]))return!0;return!1}function C3e(e){const t=[],n=e.data,r=e;return r.data=g5(n,t),r.attachments=t.length,{packet:r,buffers:t}}function g5(e,t){if(!e)return e;if($E(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=g5(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=g5(e[r],t));return n}return e}function T3e(e,t){return e.data=m5(e.data,t),delete e.attachments,e}function m5(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=m5(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=m5(e[n],t));return e}const E3e=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],A3e=5;var pt;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(pt||(pt={}));class P3e{constructor(t){this.replacer=t}encode(t){return(t.type===pt.EVENT||t.type===pt.ACK)&&xv(t)?this.encodeAsBinary({type:t.type===pt.EVENT?pt.BINARY_EVENT:pt.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===pt.BINARY_EVENT||t.type===pt.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=C3e(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function Ik(e){return Object.prototype.toString.call(e)==="[object Object]"}class FE extends Hn{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===pt.BINARY_EVENT;r||n.type===pt.BINARY_ACK?(n.type=r?pt.EVENT:pt.ACK,this.reconstructor=new R3e(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if($E(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(pt[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===pt.BINARY_EVENT||r.type===pt.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const s=t.substring(o,n);if(s!=Number(s)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(s)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const s=t.charAt(n);if(s==null||Number(s)!=s){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(FE.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case pt.CONNECT:return Ik(n);case pt.DISCONNECT:return n===void 0;case pt.CONNECT_ERROR:return typeof n=="string"||Ik(n);case pt.EVENT:case pt.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&E3e.indexOf(n[0])===-1);case pt.ACK:case pt.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class R3e{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=T3e(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const O3e=Object.freeze(Object.defineProperty({__proto__:null,Decoder:FE,Encoder:P3e,get PacketType(){return pt},protocol:A3e},Symbol.toStringTag,{value:"Module"}));function zo(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const k3e=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class Gz extends Hn{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[zo(t,"open",this.onopen.bind(this)),zo(t,"packet",this.onpacket.bind(this)),zo(t,"error",this.onerror.bind(this)),zo(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(k3e.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:pt.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const s=this.ids++,a=n.pop();this._registerAckCallback(s,a),r.id=s}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let s=0;s<this.sendBuffer.length;s++)this.sendBuffer[s].id===t&&this.sendBuffer.splice(s,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...s)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...s])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((s,a)=>r?s?o(s):i(a):i(s)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:pt.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case pt.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case pt.EVENT:case pt.BINARY_EVENT:this.onevent(t);break;case pt.ACK:case pt.BINARY_ACK:this.onack(t);break;case pt.DISCONNECT:this.ondisconnect();break;case pt.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:pt.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:pt.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const n=this._anyOutgoingListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const n=this._anyOutgoingListeners.slice();for(const r of n)r.apply(this,t.data)}}}function Kf(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}Kf.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),n=Math.floor(t*this.jitter*e);e=Math.floor(t*10)&1?e+n:e-n}return Math.min(e,this.max)|0};Kf.prototype.reset=function(){this.attempts=0};Kf.prototype.setMin=function(e){this.ms=e};Kf.prototype.setMax=function(e){this.max=e};Kf.prototype.setJitter=function(e){this.jitter=e};class y5 extends Hn{constructor(t,n){var r;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(n=t,t=void 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r=this.setTimeoutFn(()=>{t.skipReconnect||(this.emitReserved("reconnect_attempt",t.backoff.attempts),!t.skipReconnect&&t.open(i=>{i?(t._reconnecting=!1,t.reconnect(),this.emitReserved("reconnect_error",i)):t.onreconnect()}))},n);this.opts.autoUnref&&r.unref(),this.subs.push(()=>{this.clearTimeoutFn(r)})}}onreconnect(){const t=this.backoff.attempts;this._reconnecting=!1,this.backoff.reset(),this.emitReserved("reconnect",t)}}const np={};function Cv(e,t){typeof e=="object"&&(t=e,e=void 0),t=t||{};const n=_3e(e,t.path||"/socket.io"),r=n.source,i=n.id,o=n.path,s=np[i]&&o in np[i].nsps,a=t.forceNew||t["force new connection"]||t.multiplex===!1||s;let l;return a?l=new y5(r,t):(np[i]||(np[i]=new y5(r,t)),l=np[i]),n.query&&!t.query&&(t.query=n.queryKey),l.socket(n.path,t)}Object.assign(Cv,{Manager:y5,Socket:Gz,io:Cv,connect:Cv});const Mk=()=>{let e=!1,n=`${window.location.protocol==="https:"?"wss":"ws"}://${window.location.host}`;const 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r=this.isDragging;if(this.cancel(),!r)return;const{velocity:i}=n;this.startAnimation(i);const{onDragEnd:o}=this.getProps();o&&dn.update(()=>o(t,n))}cancel(){this.isDragging=!1;const{projection:t,animationState:n}=this.visualElement;t&&(t.isAnimationBlocked=!1),this.panSession&&this.panSession.end(),this.panSession=void 0;const{dragPropagation:r}=this.getProps();!r&&this.openGlobalLock&&(this.openGlobalLock(),this.openGlobalLock=null),n&&n.setActive("whileDrag",!1)}updateAxis(t,n,r){const{drag:i}=this.getProps();if(!r||!q0(t,i,this.currentDirection))return;const o=this.getAxisMotionValue(t);let s=this.originPoint[t]+r[t];this.constraints&&this.constraints[t]&&(s=Q6e(s,this.constraints[t],this.elastic[t])),o.set(s)}resolveConstraints(){const{dragConstraints:t,dragElastic:n}=this.getProps(),{layout:r}=this.visualElement.projection||{},i=this.constraints;t&&$d(t)?this.constraints||(this.constraints=this.resolveRefConstraints()):t&&r?this.constraints=Z6e(r.layoutBox,t):this.constraints=!1,this.elastic=nAe(n),i!==this.constraints&&r&&this.constraints&&!this.hasMutatedConstraints&&ps(o=>{this.getAxisMotionValue(o)&&(this.constraints[o]=tAe(r.layoutBox[o],this.constraints[o]))})}resolveRefConstraints(){const{dragConstraints:t,onMeasureDragConstraints:n}=this.getProps();if(!t||!$d(t))return!1;const r=t.current,{projection:i}=this.visualElement;if(!i||!i.layout)return!1;const o=lAe(r,i.root,this.visualElement.getTransformPagePoint());let s=J6e(i.layout.layoutBox,o);if(n){const a=n(rAe(s));this.hasMutatedConstraints=!!a,a&&(s=xj(a))}return s}startAnimation(t){const{drag:n,dragMomentum:r,dragElastic:i,dragTransition:o,dragSnapToOrigin:s,onDragTransitionEnd:a}=this.getProps(),l=this.constraints||{},u=ps(d=>{if(!q0(d,n,this.currentDirection))return;let f=l&&l[d]||{};s&&(f={min:0,max:0});const p=i?200:1e6,g=i?40:1e7,m={type:"inertia",velocity:r?t[d]:0,bounceStiffness:p,bounceDamping:g,timeConstant:750,restDelta:1,restSpeed:10,...o,...f};return this.startAxisValueAnimation(d,m)});return Promise.all(u).then(a)}startAxisValueAnimation(t,n){const r=this.getAxisMotionValue(t);return r.start(u6(t,r,0,n))}stopAnimation(){ps(t=>this.getAxisMotionValue(t).stop())}getAxisMotionValue(t){const n="_drag"+t.toUpperCase(),r=this.visualElement.getProps(),i=r[n];return i||this.visualElement.getValue(t,(r.initial?r.initial[t]:void 0)||0)}snapToCursor(t){ps(n=>{const{drag:r}=this.getProps();if(!q0(n,r,this.currentDirection))return;const{projection:i}=this.visualElement,o=this.getAxisMotionValue(n);if(i&&i.layout){const{min:s,max:a}=i.layout.layoutBox[n];o.set(t[n]-vn(s,a,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!$d(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};ps(s=>{const a=this.getAxisMotionValue(s);if(a){const l=a.get();i[s]=eAe({min:l,max:l},this.constraints[s])}});const{transformTemplate:o}=this.visualElement.getProps();this.visualElement.current.style.transform=o?o({},""):"none",r.root&&r.root.updateScroll(),r.updateLayout(),this.resolveConstraints(),ps(s=>{if(!q0(s,t,null))return;const a=this.getAxisMotionValue(s),{min:l,max:u}=this.constraints[s];a.set(vn(l,u,i[s]))})}addListeners(){if(!this.visualElement.current)return;uAe.set(this.visualElement,this);const t=this.visualElement.current,n=wa(t,"pointerdown",l=>{const{drag:u,dragListener:d=!0}=this.getProps();u&&d&&this.start(l)}),r=()=>{const{dragConstraints:l}=this.getProps();$d(l)&&(this.constraints=this.resolveRefConstraints())},{projection:i}=this.visualElement,o=i.addEventListener("measure",r);i&&!i.layout&&(i.root&&i.root.updateScroll(),i.updateLayout()),r();const s=ya(window,"resize",()=>this.scalePositionWithinConstraints()),a=i.addEventListener("didUpdate",({delta:l,hasLayoutChanged:u})=>{this.isDragging&&u&&(ps(d=>{const f=this.getAxisMotionValue(d);f&&(this.originPoint[d]+=l[d].translate,f.set(f.get()+l[d].translate))}),this.visualElement.render())});return()=>{s(),n(),o(),a&&a()}}getProps(){const t=this.visualElement.getProps(),{drag:n=!1,dragDirectionLock:r=!1,dragPropagation:i=!1,dragConstraints:o=!1,dragElastic:s=L5,dragMomentum:a=!0}=t;return{...t,drag:n,dragDirectionLock:r,dragPropagation:i,dragConstraints:o,dragElastic:s,dragMomentum:a}}}function q0(e,t,n){return(t===!0||t===e)&&(n===null||n===e)}function dAe(e,t=10){let n=null;return Math.abs(e.y)>t?n="y":Math.abs(e.x)>t&&(n="x"),n}class fAe extends uu{constructor(t){super(t),this.removeGroupControls=Gn,this.removeListeners=Gn,this.controls=new cAe(t)}mount(){const{dragControls:t}=this.node.getProps();t&&(this.removeGroupControls=t.subscribe(this.controls)),this.removeListeners=this.controls.addListeners()||Gn}unmount(){this.removeGroupControls(),this.removeListeners()}}const II=e=>(t,n)=>{e&&dn.update(()=>e(t,n))};class hAe extends uu{constructor(){super(...arguments),this.removePointerDownListener=Gn}onPointerDown(t){this.session=new Sj(t,this.createPanHandlers(),{transformPagePoint:this.node.getTransformPagePoint()})}createPanHandlers(){const{onPanSessionStart:t,onPanStart:n,onPan:r,onPanEnd:i}=this.node.getProps();return{onSessionStart:II(t),onStart:II(n),onMove:r,onEnd:(o,s)=>{delete this.session,i&&dn.update(()=>i(o,s))}}}mount(){this.removePointerDownListener=wa(this.node.current,"pointerdown",t=>this.onPointerDown(t))}update(){this.session&&this.session.updateHandlers(this.createPanHandlers())}unmount(){this.removePointerDownListener(),this.session&&this.session.end()}}function pAe(){const e=L.useContext(Lm);if(e===null)return[!0,null];const{isPresent:t,onExitComplete:n,register:r}=e,i=L.useId();return L.useEffect(()=>r(i),[]),!t&&n?[!1,()=>n&&n(i)]:[!0]}function EMe(){return gAe(L.useContext(Lm))}function gAe(e){return e===null?!0:e.isPresent}const kv={hasAnimatedSinceResize:!0,hasEverUpdated:!1};function MI(e,t){return t.max===t.min?0:e/(t.max-t.min)*100}const op={correct:(e,t)=>{if(!t.target)return e;if(typeof e=="string")if(Be.test(e))e=parseFloat(e);else return e;const n=MI(e,t.target.x),r=MI(e,t.target.y);return`${n}% ${r}%`}},mAe={correct:(e,{treeScale:t,projectionDelta:n})=>{const r=e,i=Xl.parse(e);if(i.length>5)return r;const 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EAe{constructor(){this.members=[]}add(t){c6(this.members,t),t.scheduleRender()}remove(t){if(d6(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function jI(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) `),(t.x!==1||t.y!==1)&&(r+=`scale(${1/t.x}, ${1/t.y}) `),n){const{rotate:l,rotateX:u,rotateY:d}=n;l&&(r+=`rotate(${l}deg) `),u&&(r+=`rotateX(${u}deg) `),d&&(r+=`rotateY(${d}deg) `)}const s=e.x.scale*t.x,a=e.y.scale*t.y;return(s!==1||a!==1)&&(r+=`scale(${s}, ${a})`),r||"none"}const AAe=(e,t)=>e.depth-t.depth;class PAe{constructor(){this.children=[],this.isDirty=!1}add(t){c6(this.children,t),this.isDirty=!0}remove(t){d6(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(AAe),this.isDirty=!1,this.children.forEach(t)}}function RAe(e,t){const n=performance.now(),r=({timestamp:i})=>{const o=i-n;o>=t&&(Ia(r),e(o-t))};return dn.read(r,!0),()=>Ia(r)}function OAe(e){window.MotionDebug&&window.MotionDebug.record(e)}function kAe(e){return e instanceof SVGElement&&e.tagName!=="svg"}function IAe(e,t,n){const r=ki(e)?e:Mf(e);return r.start(u6("",r,t,n)),r.animation}const GI=["","X","Y","Z"],HI=1e3;let MAe=0;const Ou={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function kj({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(s={},a=t==null?void 0:t()){this.id=MAe++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Ou.totalNodes=Ou.resolvedTargetDeltas=Ou.recalculatedProjection=0,this.nodes.forEach(DAe),this.nodes.forEach(zAe),this.nodes.forEach(VAe),this.nodes.forEach($Ae),OAe(Ou)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=s,this.root=a?a.root||a:this,this.path=a?[...a.path,a]:[],this.parent=a,this.depth=a?a.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new PAe)}addEventListener(s,a){return this.eventHandlers.has(s)||this.eventHandlers.set(s,new f6),this.eventHandlers.get(s).add(a)}notifyListeners(s,...a){const l=this.eventHandlers.get(s);l&&l.notify(...a)}hasListeners(s){return this.eventHandlers.has(s)}mount(s,a=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=kAe(s),this.instance=s;const{layoutId:l,layout:u,visualElement:d}=this.options;if(d&&!d.current&&d.mount(s),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),a&&(u||l)&&(this.isLayoutDirty=!0),e){let f;const p=()=>this.root.updateBlockedByResize=!1;e(s,()=>{this.root.updateBlockedByResize=!0,f&&f(),f=RAe(p,250),kv.hasAnimatedSinceResize&&(kv.hasAnimatedSinceResize=!1,this.nodes.forEach(qI))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&d&&(l||u)&&this.addEventListener("didUpdate",({delta:f,hasLayoutChanged:p,hasRelativeTargetChanged:g,layout:m})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const v=this.options.transition||d.getDefaultTransition()||qAe,{onLayoutAnimationStart:x,onLayoutAnimationComplete:_}=d.getProps(),b=!this.targetLayout||!F5(this.targetLayout,m)||g,y=!p&&g;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||y||p&&(b||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(f,y);const S={...yj(v,"layout"),onPlay:x,onComplete:_};(d.shouldReduceMotion||this.options.layoutRoot)&&(S.delay=0,S.type=!1),this.startAnimation(S)}else p||qI(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=m})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const s=this.getStack();s&&s.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,Ia(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(jAe),this.animationId++)}getTransformTemplate(){const{visualElement:s}=this.options;return s&&s.getProps().transformTemplate}willUpdate(s=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let d=0;d<this.path.length;d++){const f=this.path[d];f.shouldResetTransform=!0,f.updateScroll("snapshot"),f.options.layoutRoot&&f.willUpdate(!1)}const{layoutId:a,layout:l}=this.options;if(a===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),s&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(WI);return}this.isUpdating||this.nodes.forEach(BAe),this.isUpdating=!1,this.nodes.forEach(UAe),this.nodes.forEach(NAe),this.nodes.forEach(LAe),this.clearAllSnapshots();const a=performance.now();zr.delta=Kl(0,1e3/60,a-zr.timestamp),zr.timestamp=a,zr.isProcessing=!0,Yx.update.process(zr),Yx.preRender.process(zr),Yx.render.process(zr),zr.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach(FAe),this.sharedNodes.forEach(GAe)}scheduleUpdateProjection(){dn.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){dn.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const s=this.layout;this.layout=this.measure(!1),this.layoutCorrected=Bn(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:a}=this.options;a&&a.notify("LayoutMeasure",this.layout.layoutBox,s?s.layoutBox:void 0)}updateScroll(s="measure"){let a=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===s&&(a=!1),a&&(this.scroll={animationId:this.root.animationId,phase:s,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const s=this.isLayoutDirty||this.shouldResetTransform,a=this.projectionDelta&&!Oj(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,d=u!==this.prevTransformTemplateValue;s&&(a||Ru(this.latestValues)||d)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(s=!0){const a=this.measurePageBox();let l=this.removeElementScroll(a);return s&&(l=this.removeTransform(l)),KAe(l),{animationId:this.root.animationId,measuredBox:a,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:s}=this.options;if(!s)return Bn();const a=s.measureViewportBox(),{scroll:l}=this.root;return l&&(fl(a.x,l.offset.x),fl(a.y,l.offset.y)),a}removeElementScroll(s){const a=Bn();fo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:d,options:f}=u;if(u!==this.root&&d&&f.layoutScroll){if(d.isRoot){fo(a,s);const{scroll:p}=this.root;p&&(fl(a.x,-p.offset.x),fl(a.y,-p.offset.y))}fl(a.x,d.offset.x),fl(a.y,d.offset.y)}}return a}applyTransform(s,a=!1){const l=Bn();fo(l,s);for(let u=0;u<this.path.length;u++){const d=this.path[u];!a&&d.options.layoutScroll&&d.scroll&&d!==d.root&&Ud(l,{x:-d.scroll.offset.x,y:-d.scroll.offset.y}),Ru(d.latestValues)&&Ud(l,d.latestValues)}return Ru(this.latestValues)&&Ud(l,this.latestValues),l}removeTransform(s){const a=Bn();fo(a,s);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!Ru(u.latestValues))continue;D5(u.latestValues)&&u.updateSnapshot();const d=Bn(),f=u.measurePageBox();fo(d,f),UI(a,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,d)}return Ru(this.latestValues)&&UI(a,this.latestValues),a}setTargetDelta(s){this.targetDelta=s,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(s){this.options={...this.options,...s,crossfade:s.crossfade!==void 0?s.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==zr.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(s=!1){var a;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(s||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:f,layoutId:p}=this.options;if(!(!this.layout||!(f||p))){if(this.resolvedRelativeTargetAt=zr.timestamp,!this.targetDelta&&!this.relativeTarget){const g=this.getClosestProjectingParent();g&&g.layout&&this.animationProgress!==1?(this.relativeParent=g,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Bn(),this.relativeTargetOrigin=Bn(),Mp(this.relativeTargetOrigin,this.layout.layoutBox,g.layout.layoutBox),fo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=Bn(),this.targetWithTransforms=Bn()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),Y6e(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):fo(this.target,this.layout.layoutBox),Tj(this.target,this.targetDelta)):fo(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const g=this.getClosestProjectingParent();g&&!!g.resumingFrom==!!this.resumingFrom&&!g.options.layoutScroll&&g.target&&this.animationProgress!==1?(this.relativeParent=g,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Bn(),this.relativeTargetOrigin=Bn(),Mp(this.relativeTargetOrigin,this.target,g.target),fo(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Ou.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||D5(this.parent.latestValues)||Cj(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var s;const a=this.getLead(),l=!!this.resumingFrom||this!==a;let u=!0;if((this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===zr.timestamp&&(u=!1),u)return;const{layout:d,layoutId:f}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(d||f))return;fo(this.layoutCorrected,this.layout.layoutBox);const p=this.treeScale.x,g=this.treeScale.y;oAe(this.layoutCorrected,this.treeScale,this.path,l),a.layout&&!a.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(a.target=a.layout.layoutBox);const{target:m}=a;if(!m){this.projectionTransform&&(this.projectionDelta=Bd(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=Bd(),this.projectionDeltaWithTransform=Bd());const v=this.projectionTransform;Ip(this.projectionDelta,this.layoutCorrected,m,this.latestValues),this.projectionTransform=jI(this.projectionDelta,this.treeScale),(this.projectionTransform!==v||this.treeScale.x!==p||this.treeScale.y!==g)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",m)),Ou.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(s=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),s){const a=this.getStack();a&&a.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(s,a=!1){const l=this.snapshot,u=l?l.latestValues:{},d={...this.latestValues},f=Bd();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!a;const p=Bn(),g=l?l.source:void 0,m=this.layout?this.layout.source:void 0,v=g!==m,x=this.getStack(),_=!x||x.members.length<=1,b=!!(v&&!_&&this.options.crossfade===!0&&!this.path.some(WAe));this.animationProgress=0;let y;this.mixTargetDelta=S=>{const C=S/1e3;KI(f.x,s.x,C),KI(f.y,s.y,C),this.setTargetDelta(f),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(Mp(p,this.layout.layoutBox,this.relativeParent.layout.layoutBox),HAe(this.relativeTarget,this.relativeTargetOrigin,p,C),y&&F5(this.relativeTarget,y)&&(this.isProjectionDirty=!1),y||(y=Bn()),fo(y,this.relativeTarget)),v&&(this.animationValues=d,bAe(d,u,this.latestValues,C,b,_)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=C},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(s){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(Ia(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=dn.update(()=>{kv.hasAnimatedSinceResize=!0,this.currentAnimation=IAe(0,HI,{...s,onUpdate:a=>{this.mixTargetDelta(a),s.onUpdate&&s.onUpdate(a)},onComplete:()=>{s.onComplete&&s.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const s=this.getStack();s&&s.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(HI),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const s=this.getLead();let{targetWithTransforms:a,target:l,layout:u,latestValues:d}=s;if(!(!a||!l||!u)){if(this!==s&&this.layout&&u&&Ij(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Bn();const f=Xi(this.layout.layoutBox.x);l.x.min=s.target.x.min,l.x.max=l.x.min+f;const p=Xi(this.layout.layoutBox.y);l.y.min=s.target.y.min,l.y.max=l.y.min+p}fo(a,l),Ud(a,d),Ip(this.projectionDeltaWithTransform,this.layoutCorrected,a,d)}}registerSharedNode(s,a){this.sharedNodes.has(s)||this.sharedNodes.set(s,new EAe),this.sharedNodes.get(s).add(a);const u=a.options.initialPromotionConfig;a.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(a):void 0})}isLead(){const s=this.getStack();return s?s.lead===this:!0}getLead(){var s;const{layoutId:a}=this.options;return a?((s=this.getStack())===null||s===void 0?void 0:s.lead)||this:this}getPrevLead(){var s;const{layoutId:a}=this.options;return a?(s=this.getStack())===null||s===void 0?void 0:s.prevLead:void 0}getStack(){const{layoutId:s}=this.options;if(s)return this.root.sharedNodes.get(s)}promote({needsReset:s,transition:a,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),s&&(this.projectionDelta=void 0,this.needsReset=!0),a&&this.setOptions({transition:a})}relegate(){const s=this.getStack();return s?s.relegate(this):!1}resetRotation(){const{visualElement:s}=this.options;if(!s)return;let a=!1;const{latestValues:l}=s;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(a=!0),!a)return;const u={};for(let d=0;d<GI.length;d++){const f="rotate"+GI[d];l[f]&&(u[f]=l[f],s.setStaticValue(f,0))}s.render();for(const d in u)s.setStaticValue(d,u[d]);s.scheduleRender()}getProjectionStyles(s={}){var a,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const d=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=Ov(s.pointerEvents)||"",u.transform=d?d(this.latestValues,""):"none",u;const f=this.getLead();if(!this.projectionDelta||!this.layout||!f.target){const v={};return this.options.layoutId&&(v.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,v.pointerEvents=Ov(s.pointerEvents)||""),this.hasProjected&&!Ru(this.latestValues)&&(v.transform=d?d({},""):"none",this.hasProjected=!1),v}const p=f.animationValues||f.latestValues;this.applyTransformsToTarget(),u.transform=jI(this.projectionDeltaWithTransform,this.treeScale,p),d&&(u.transform=d(p,u.transform));const{x:g,y:m}=this.projectionDelta;u.transformOrigin=`${g.origin*100}% ${m.origin*100}% 0`,f.animationValues?u.opacity=f===this?(l=(a=p.opacity)!==null&&a!==void 0?a:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:p.opacityExit:u.opacity=f===this?p.opacity!==void 0?p.opacity:"":p.opacityExit!==void 0?p.opacityExit:0;for(const v in l_){if(p[v]===void 0)continue;const{correct:x,applyTo:_}=l_[v],b=u.transform==="none"?p[v]:x(p[v],f);if(_){const y=_.length;for(let S=0;S<y;S++)u[_[S]]=b}else u[v]=b}return this.options.layoutId&&(u.pointerEvents=f===this?Ov(s.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(s=>{var a;return(a=s.currentAnimation)===null||a===void 0?void 0:a.stop()}),this.root.nodes.forEach(WI),this.root.sharedNodes.clear()}}}function NAe(e){e.updateLayout()}function LAe(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,s=n.source!==e.layout.source;o==="size"?ps(f=>{const p=s?n.measuredBox[f]:n.layoutBox[f],g=Xi(p);p.min=r[f].min,p.max=p.min+g}):Ij(o,n.layoutBox,r)&&ps(f=>{const p=s?n.measuredBox[f]:n.layoutBox[f],g=Xi(r[f]);p.max=p.min+g,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[f].max=e.relativeTarget[f].min+g)});const a=Bd();Ip(a,r,n.layoutBox);const l=Bd();s?Ip(l,e.applyTransform(i,!0),n.measuredBox):Ip(l,r,n.layoutBox);const u=!Oj(a);let d=!1;if(!e.resumeFrom){const f=e.getClosestProjectingParent();if(f&&!f.resumeFrom){const{snapshot:p,layout:g}=f;if(p&&g){const m=Bn();Mp(m,n.layoutBox,p.layoutBox);const v=Bn();Mp(v,r,g.layoutBox),F5(m,v)||(d=!0),f.options.layoutRoot&&(e.relativeTarget=v,e.relativeTargetOrigin=m,e.relativeParent=f)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:a,hasLayoutChanged:u,hasRelativeTargetChanged:d})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function DAe(e){Ou.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function $Ae(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function FAe(e){e.clearSnapshot()}function WI(e){e.clearMeasurements()}function BAe(e){e.isLayoutDirty=!1}function UAe(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function qI(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function zAe(e){e.resolveTargetDelta()}function VAe(e){e.calcProjection()}function jAe(e){e.resetRotation()}function GAe(e){e.removeLeadSnapshot()}function 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lC.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>window.getComputedStyle(e).position==="fixed"}),YAe={pan:{Feature:hAe},drag:{Feature:fAe,ProjectionNode:Mj,MeasureLayout:Aj}},QAe=/var\((--[a-zA-Z0-9-_]+),? ?([a-zA-Z0-9 ()%#.,-]+)?\)/;function ZAe(e){const t=QAe.exec(e);if(!t)return[,];const[,n,r]=t;return[n,r]}function B5(e,t,n=1){const[r,i]=ZAe(e);if(!r)return;const o=window.getComputedStyle(t).getPropertyValue(r);return o?o.trim():A5(i)?B5(i,t,n+1):i}function JAe(e,{...t},n){const r=e.current;if(!(r instanceof Element))return{target:t,transitionEnd:n};n&&(n={...n}),e.values.forEach(i=>{const o=i.get();if(!A5(o))return;const s=B5(o,r);s&&i.set(s)});for(const i in t){const o=t[i];if(!A5(o))continue;const s=B5(o,r);s&&(t[i]=s,n||(n={}),n[i]===void 0&&(n[i]=o))}return{target:t,transitionEnd:n}}const ePe=new Set(["width","height","top","left","right","bottom","x","y","translateX","translateY"]),Nj=e=>ePe.has(e),tPe=e=>Object.keys(e).some(Nj),QI=e=>e===Oc||e===Be,ZI=(e,t)=>parseFloat(e.split(", ")[t]),JI=(e,t)=>(n,{transform:r})=>{if(r==="none"||!r)return 0;const i=r.match(/^matrix3d\((.+)\)$/);if(i)return ZI(i[1],t);{const o=r.match(/^matrix\((.+)\)$/);return o?ZI(o[1],e):0}},nPe=new Set(["x","y","z"]),rPe=Dm.filter(e=>!nPe.has(e));function iPe(e){const t=[];return rPe.forEach(n=>{const r=e.getValue(n);r!==void 0&&(t.push([n,r.get()]),r.set(n.startsWith("scale")?1:0))}),t.length&&e.render(),t}const Nf={width:({x:e},{paddingLeft:t="0",paddingRight:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),height:({y:e},{paddingTop:t="0",paddingBottom:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),top:(e,{top:t})=>parseFloat(t),left:(e,{left:t})=>parseFloat(t),bottom:({y:e},{top:t})=>parseFloat(t)+(e.max-e.min),right:({x:e},{left:t})=>parseFloat(t)+(e.max-e.min),x:JI(4,13),y:JI(5,14)};Nf.translateX=Nf.x;Nf.translateY=Nf.y;const oPe=(e,t,n)=>{const r=t.measureViewportBox(),i=t.current,o=getComputedStyle(i),{display:s}=o,a={};s==="none"&&t.setStaticValue("display",e.display||"block"),n.forEach(u=>{a[u]=Nf[u](r,o)}),t.render();const l=t.measureViewportBox();return n.forEach(u=>{const d=t.getValue(u);d&&d.jump(a[u]),e[u]=Nf[u](l,o)}),e},sPe=(e,t,n={},r={})=>{t={...t},r={...r};const i=Object.keys(t).filter(Nj);let o=[],s=!1;const a=[];if(i.forEach(l=>{const u=e.getValue(l);if(!e.hasValue(l))return;let d=n[l],f=ip(d);const p=t[l];let g;if(c_(p)){const m=p.length,v=p[0]===null?1:0;d=p[v],f=ip(d);for(let x=v;x<m&&p[x]!==null;x++)g?i6(ip(p[x])===g):g=ip(p[x])}else g=ip(p);if(f!==g)if(QI(f)&&QI(g)){const m=u.get();typeof m=="string"&&u.set(parseFloat(m)),typeof p=="string"?t[l]=parseFloat(p):Array.isArray(p)&&g===Be&&(t[l]=p.map(parseFloat))}else f!=null&&f.transform&&(g!=null&&g.transform)&&(d===0||p===0)?d===0?u.set(g.transform(d)):t[l]=f.transform(p):(s||(o=iPe(e),s=!0),a.push(l),r[l]=r[l]!==void 0?r[l]:t[l],u.jump(p))}),a.length){const l=a.indexOf("height")>=0?window.pageYOffset:null,u=oPe(t,e,a);return o.length&&o.forEach(([d,f])=>{e.getValue(d).set(f)}),e.render(),r2&&l!==null&&window.scrollTo({top:l}),{target:u,transitionEnd:r}}else return{target:t,transitionEnd:r}};function aPe(e,t,n,r){return tPe(t)?sPe(e,t,n,r):{target:t,transitionEnd:r}}const lPe=(e,t,n,r)=>{const i=JAe(e,t,r);return t=i.target,r=i.transitionEnd,aPe(e,t,n,r)},U5={current:null},Lj={current:!1};function uPe(){if(Lj.current=!0,!!r2)if(window.matchMedia){const e=window.matchMedia("(prefers-reduced-motion)"),t=()=>U5.current=e.matches;e.addListener(t),t()}else U5.current=!1}function cPe(e,t,n){const{willChange:r}=t;for(const i in t){const o=t[i],s=n[i];if(ki(o))e.addValue(i,o),p_(r)&&r.add(i);else if(ki(s))e.addValue(i,Mf(o,{owner:e})),p_(r)&&r.remove(i);else if(s!==o)if(e.hasValue(i)){const a=e.getValue(i);!a.hasAnimated&&a.set(o)}else{const a=e.getStaticValue(i);e.addValue(i,Mf(a!==void 0?a:o,{owner:e}))}}for(const i in n)t[i]===void 0&&e.removeValue(i);return t}const e7=new WeakMap,Dj=Object.keys(Vg),dPe=Dj.length,t7=["AnimationStart","AnimationComplete","Update","BeforeLayoutMeasure","LayoutMeasure","LayoutAnimationStart","LayoutAnimationComplete"],fPe=KE.length;class hPe{constructor({parent:t,props:n,presenceContext:r,reducedMotionConfig:i,visualState:o},s={}){this.current=null,this.children=new Set,this.isVariantNode=!1,this.isControllingVariants=!1,this.shouldReduceMotion=null,this.values=new Map,this.features={},this.valueSubscriptions=new Map,this.prevMotionValues={},this.events={},this.propEventSubscriptions={},this.notifyUpdate=()=>this.notify("Update",this.latestValues),this.render=()=>{this.current&&(this.triggerBuild(),this.renderInstance(this.current,this.renderState,this.props.style,this.projection))},this.scheduleRender=()=>dn.render(this.render,!1,!0);const{latestValues:a,renderState:l}=o;this.latestValues=a,this.baseTarget={...a},this.initialValues=n.initial?{...a}:{},this.renderState=l,this.parent=t,this.props=n,this.presenceContext=r,this.depth=t?t.depth+1:0,this.reducedMotionConfig=i,this.options=s,this.isControllingVariants=o2(n),this.isVariantNode=SV(n),this.isVariantNode&&(this.variantChildren=new Set),this.manuallyAnimateOnMount=!!(t&&t.current);const{willChange:u,...d}=this.scrapeMotionValuesFromProps(n,{});for(const f in d){const p=d[f];a[f]!==void 0&&ki(p)&&(p.set(a[f],!1),p_(u)&&u.add(f))}}scrapeMotionValuesFromProps(t,n){return{}}mount(t){this.current=t,e7.set(t,this),this.projection&&!this.projection.instance&&this.projection.mount(t),this.parent&&this.isVariantNode&&!this.isControllingVariants&&(this.removeFromVariantTree=this.parent.addVariantChild(this)),this.values.forEach((n,r)=>this.bindToMotionValue(r,n)),Lj.current||uPe(),this.shouldReduceMotion=this.reducedMotionConfig==="never"?!1:this.reducedMotionConfig==="always"?!0:U5.current,this.parent&&this.parent.children.add(this),this.update(this.props,this.presenceContext)}unmount(){e7.delete(this.current),this.projection&&this.projection.unmount(),Ia(this.notifyUpdate),Ia(this.render),this.valueSubscriptions.forEach(t=>t()),this.removeFromVariantTree&&this.removeFromVariantTree(),this.parent&&this.parent.children.delete(this);for(const t in this.events)this.events[t].clear();for(const t in this.features)this.features[t].unmount();this.current=null}bindToMotionValue(t,n){const r=Rc.has(t),i=n.on("change",s=>{this.latestValues[t]=s,this.props.onUpdate&&dn.update(this.notifyUpdate,!1,!0),r&&this.projection&&(this.projection.isTransformDirty=!0)}),o=n.on("renderRequest",this.scheduleRender);this.valueSubscriptions.set(t,()=>{i(),o()})}sortNodePosition(t){return!this.current||!this.sortInstanceNodePosition||this.type!==t.type?0:this.sortInstanceNodePosition(this.current,t.current)}loadFeatures({children:t,...n},r,i,o){let s,a;for(let l=0;l<dPe;l++){const u=Dj[l],{isEnabled:d,Feature:f,ProjectionNode:p,MeasureLayout:g}=Vg[u];p&&(s=p),d(n)&&(!this.features[u]&&f&&(this.features[u]=new f(this)),g&&(a=g))}if(!this.projection&&s){this.projection=new s(this.latestValues,this.parent&&this.parent.projection);const{layoutId:l,layout:u,drag:d,dragConstraints:f,layoutScroll:p,layoutRoot:g}=n;this.projection.setOptions({layoutId:l,layout:u,alwaysMeasureLayout:!!d||f&&$d(f),visualElement:this,scheduleRender:()=>this.scheduleRender(),animationType:typeof u=="string"?u:"both",initialPromotionConfig:o,layoutScroll:p,layoutRoot:g})}return a}updateFeatures(){for(const t in this.features){const n=this.features[t];n.isMounted?n.update():(n.mount(),n.isMounted=!0)}}triggerBuild(){this.build(this.renderState,this.latestValues,this.options,this.props)}measureViewportBox(){return this.current?this.measureInstanceViewportBox(this.current,this.props):Bn()}getStaticValue(t){return this.latestValues[t]}setStaticValue(t,n){this.latestValues[t]=n}makeTargetAnimatable(t,n=!0){return this.makeTargetAnimatableFromInstance(t,this.props,n)}update(t,n){(t.transformTemplate||this.props.transformTemplate)&&this.scheduleRender(),this.prevProps=this.props,this.props=t,this.prevPresenceContext=this.presenceContext,this.presenceContext=n;for(let r=0;r<t7.length;r++){const i=t7[r];this.propEventSubscriptions[i]&&(this.propEventSubscriptions[i](),delete this.propEventSubscriptions[i]);const o=t["on"+i];o&&(this.propEventSubscriptions[i]=this.on(i,o))}this.prevMotionValues=cPe(this,this.scrapeMotionValuesFromProps(t,this.prevProps),this.prevMotionValues),this.handleChildMotionValue&&this.handleChildMotionValue()}getProps(){return this.props}getVariant(t){return this.props.variants?this.props.variants[t]:void 0}getDefaultTransition(){return this.props.transition}getTransformPagePoint(){return this.props.transformPagePoint}getClosestVariantNode(){return this.isVariantNode?this:this.parent?this.parent.getClosestVariantNode():void 0}getVariantContext(t=!1){if(t)return this.parent?this.parent.getVariantContext():void 0;if(!this.isControllingVariants){const r=this.parent?this.parent.getVariantContext()||{}:{};return this.props.initial!==void 0&&(r.initial=this.props.initial),r}const n={};for(let r=0;r<fPe;r++){const i=KE[r],o=this.props[i];(zg(o)||o===!1)&&(n[i]=o)}return n}addVariantChild(t){const n=this.getClosestVariantNode();if(n)return n.variantChildren&&n.variantChildren.add(t),()=>n.variantChildren.delete(t)}addValue(t,n){n!==this.values.get(t)&&(this.removeValue(t),this.bindToMotionValue(t,n)),this.values.set(t,n),this.latestValues[t]=n.get()}removeValue(t){this.values.delete(t);const n=this.valueSubscriptions.get(t);n&&(n(),this.valueSubscriptions.delete(t)),delete this.latestValues[t],this.removeValueFromRenderState(t,this.renderState)}hasValue(t){return this.values.has(t)}getValue(t,n){if(this.props.values&&this.props.values[t])return this.props.values[t];let r=this.values.get(t);return r===void 0&&n!==void 0&&(r=Mf(n,{owner:this}),this.addValue(t,r)),r}readValue(t){var n;return this.latestValues[t]!==void 0||!this.current?this.latestValues[t]:(n=this.getBaseTargetFromProps(this.props,t))!==null&&n!==void 0?n:this.readValueFromInstance(this.current,t,this.options)}setBaseTarget(t,n){this.baseTarget[t]=n}getBaseTarget(t){var n;const{initial:r}=this.props,i=typeof r=="string"||typeof r=="object"?(n=r6(this.props,r))===null||n===void 0?void 0:n[t]:void 0;if(r&&i!==void 0)return i;const o=this.getBaseTargetFromProps(this.props,t);return o!==void 0&&!ki(o)?o:this.initialValues[t]!==void 0&&i===void 0?void 0:this.baseTarget[t]}on(t,n){return this.events[t]||(this.events[t]=new f6),this.events[t].add(n)}notify(t,...n){this.events[t]&&this.events[t].notify(...n)}}class $j extends hPe{sortInstanceNodePosition(t,n){return t.compareDocumentPosition(n)&2?1:-1}getBaseTargetFromProps(t,n){return t.style?t.style[n]:void 0}removeValueFromRenderState(t,{vars:n,style:r}){delete n[t],delete r[t]}makeTargetAnimatableFromInstance({transition:t,transitionEnd:n,...r},{transformValues:i},o){let s=I6e(r,t||{},this);if(i&&(n&&(n=i(n)),r&&(r=i(r)),s&&(s=i(s))),o){O6e(this,r,s);const a=lPe(this,r,s,n);n=a.transitionEnd,r=a.target}return{transition:t,transitionEnd:n,...r}}}function pPe(e){return window.getComputedStyle(e)}class gPe extends $j{readValueFromInstance(t,n){if(Rc.has(n)){const r=l6(n);return r&&r.default||0}else{const r=pPe(t),i=(TV(n)?r.getPropertyValue(n):r[n])||0;return typeof i=="string"?i.trim():i}}measureInstanceViewportBox(t,{transformPagePoint:n}){return Ej(t,n)}build(t,n,r,i){QE(t,n,r,i.transformTemplate)}scrapeMotionValuesFromProps(t,n){return n6(t,n)}handleChildMotionValue(){this.childSubscription&&(this.childSubscription(),delete this.childSubscription);const{children:t}=this.props;ki(t)&&(this.childSubscription=t.on("change",n=>{this.current&&(this.current.textContent=`${n}`)}))}renderInstance(t,n,r,i){kV(t,n,r,i)}}class mPe extends $j{constructor(){super(...arguments),this.isSVGTag=!1}getBaseTargetFromProps(t,n){return t[n]}readValueFromInstance(t,n){if(Rc.has(n)){const r=l6(n);return r&&r.default||0}return n=IV.has(n)?n:t6(n),t.getAttribute(n)}measureInstanceViewportBox(){return Bn()}scrapeMotionValuesFromProps(t,n){return NV(t,n)}build(t,n,r,i){JE(t,n,r,this.isSVGTag,i.transformTemplate)}renderInstance(t,n,r,i){MV(t,n,r,i)}mount(t){this.isSVGTag=e6(t.tagName),super.mount(t)}}const yPe=(e,t)=>YE(e)?new mPe(t,{enableHardwareAcceleration:!1}):new gPe(t,{enableHardwareAcceleration:!0}),vPe={layout:{ProjectionNode:Mj,MeasureLayout:Aj}},_Pe={...W6e,...hEe,...YAe,...vPe},bPe=wTe((e,t)=>QTe(e,t,_Pe,yPe));function Fj(){const e=L.useRef(!1);return a_(()=>(e.current=!0,()=>{e.current=!1}),[]),e}function SPe(){const e=Fj(),[t,n]=L.useState(0),r=L.useCallback(()=>{e.current&&n(t+1)},[t]);return[L.useCallback(()=>dn.postRender(r),[r]),t]}class wPe extends L.Component{getSnapshotBeforeUpdate(t){const n=this.props.childRef.current;if(n&&t.isPresent&&!this.props.isPresent){const r=this.props.sizeRef.current;r.height=n.offsetHeight||0,r.width=n.offsetWidth||0,r.top=n.offsetTop,r.left=n.offsetLeft}return null}componentDidUpdate(){}render(){return this.props.children}}function xPe({children:e,isPresent:t}){const n=L.useId(),r=L.useRef(null),i=L.useRef({width:0,height:0,top:0,left:0});return L.useInsertionEffect(()=>{const{width:o,height:s,top:a,left:l}=i.current;if(t||!r.current||!o||!s)return;r.current.dataset.motionPopId=n;const u=document.createElement("style");return document.head.appendChild(u),u.sheet&&u.sheet.insertRule(`
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-            position: absolute !important;
-            width: ${o}px !important;
-            height: ${s}px !important;
-            top: ${a}px !important;
-            left: ${l}px !important;
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Qt;(function(e){e.Space="Space",e.Down="ArrowDown",e.Right="ArrowRight",e.Left="ArrowLeft",e.Up="ArrowUp",e.Esc="Escape",e.Enter="Enter"})(Qt||(Qt={}));const oG={start:[Qt.Space,Qt.Enter],cancel:[Qt.Esc],end:[Qt.Space,Qt.Enter]},W8e=(e,t)=>{let{currentCoordinates:n}=t;switch(e.code){case Qt.Right:return{...n,x:n.x+25};case Qt.Left:return{...n,x:n.x-25};case Qt.Down:return{...n,y:n.y+25};case Qt.Up:return{...n,y:n.y-25}}};class sG{constructor(t){this.props=void 0,this.autoScrollEnabled=!1,this.referenceCoordinates=void 0,this.listeners=void 0,this.windowListeners=void 0,this.props=t;const{event:{target:n}}=t;this.props=t,this.listeners=new Np(Qf(n)),this.windowListeners=new Np(hi(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(po.Resize,this.handleCancel),this.windowListeners.add(po.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(po.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&iG(r),n(ns)}handleKeyDown(t){if(v6(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=oG,coordinateGetter:s=W8e,scrollBehavior:a="smooth"}=i,{code:l}=t;if(o.end.includes(l)){this.handleEnd(t);return}if(o.cancel.includes(l)){this.handleCancel(t);return}const{collisionRect:u}=r.current,d=u?{x:u.left,y:u.top}:ns;this.referenceCoordinates||(this.referenceCoordinates=d);const f=s(t,{active:n,context:r.current,currentCoordinates:d});if(f){const p=b_(f,d),g={x:0,y:0},{scrollableAncestors:m}=r.current;for(const v of m){const x=t.code,{isTop:_,isRight:b,isLeft:y,isBottom:S,maxScroll:C,minScroll:T}=nG(v),E=U8e(v),P={x:Math.min(x===Qt.Right?E.right-E.width/2:E.right,Math.max(x===Qt.Right?E.left:E.left+E.width/2,f.x)),y:Math.min(x===Qt.Down?E.bottom-E.height/2:E.bottom,Math.max(x===Qt.Down?E.top:E.top+E.height/2,f.y))},k=x===Qt.Right&&!b||x===Qt.Left&&!y,O=x===Qt.Down&&!S||x===Qt.Up&&!_;if(k&&P.x!==f.x){const M=v.scrollLeft+p.x,G=x===Qt.Right&&M<=C.x||x===Qt.Left&&M>=T.x;if(G&&!p.y){v.scrollTo({left:M,behavior:a});return}G?g.x=v.scrollLeft-M:g.x=x===Qt.Right?v.scrollLeft-C.x:v.scrollLeft-T.x,g.x&&v.scrollBy({left:-g.x,behavior:a});break}else if(O&&P.y!==f.y){const M=v.scrollTop+p.y,G=x===Qt.Down&&M<=C.y||x===Qt.Up&&M>=T.y;if(G&&!p.x){v.scrollTo({top:M,behavior:a});return}G?g.y=v.scrollTop-M:g.y=x===Qt.Down?v.scrollTop-C.y:v.scrollTop-T.y,g.y&&v.scrollBy({top:-g.y,behavior:a});break}}this.handleMove(t,uf(b_(f,this.referenceCoordinates),g))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}sG.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=oG,onActivation:i}=t,{active:o}=n;const{code:s}=e.nativeEvent;if(r.start.includes(s)){const a=o.activatorNode.current;return a&&e.target!==a?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function d7(e){return!!(e&&"distance"in e)}function f7(e){return!!(e&&"delay"in e)}class S6{constructor(t,n,r){var i;r===void 0&&(r=G8e(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:s}=o;this.props=t,this.events=n,this.document=Qf(s),this.documentListeners=new Np(this.document),this.listeners=new Np(r),this.windowListeners=new Np(hi(s)),this.initialCoordinates=(i=qg(o))!=null?i:ns,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(po.Resize,this.handleCancel),this.windowListeners.add(po.DragStart,c7),this.windowListeners.add(po.VisibilityChange,this.handleCancel),this.windowListeners.add(po.ContextMenu,c7),this.documentListeners.add(po.Keydown,this.handleKeydown),n){if(d7(n))return;if(f7(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(po.Click,H8e,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(po.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:s,options:{activationConstraint:a}}=o;if(!i)return;const l=(n=qg(t))!=null?n:ns,u=b_(i,l);if(!r&&a){if(f7(a))return fC(u,a.tolerance)?this.handleCancel():void 0;if(d7(a))return a.tolerance!=null&&fC(u,a.tolerance)?this.handleCancel():fC(u,a.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),s(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===Qt.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const q8e={move:{name:"pointermove"},end:{name:"pointerup"}};class aG extends S6{constructor(t){const{event:n}=t,r=Qf(n.target);super(t,q8e,r)}}aG.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const K8e={move:{name:"mousemove"},end:{name:"mouseup"}};var X5;(function(e){e[e.RightClick=2]="RightClick"})(X5||(X5={}));class lG extends S6{constructor(t){super(t,K8e,Qf(t.event.target))}}lG.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===X5.RightClick?!1:(r==null||r({event:n}),!0)}}];const hC={move:{name:"touchmove"},end:{name:"touchend"}};class uG extends S6{constructor(t){super(t,hC)}static setup(){return window.addEventListener(hC.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(hC.move.name,t)};function t(){}}}uG.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var Lp;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(Lp||(Lp={}));var w_;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(w_||(w_={}));function X8e(e){let{acceleration:t,activator:n=Lp.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:s=5,order:a=w_.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:d,delta:f,threshold:p}=e;const g=Q8e({delta:f,disabled:!o}),[m,v]=o8e(),x=L.useRef({x:0,y:0}),_=L.useRef({x:0,y:0}),b=L.useMemo(()=>{switch(n){case Lp.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case Lp.DraggableRect:return i}},[n,i,l]),y=L.useRef(null),S=L.useCallback(()=>{const T=y.current;if(!T)return;const E=x.current.x*_.current.x,P=x.current.y*_.current.y;T.scrollBy(E,P)},[]),C=L.useMemo(()=>a===w_.TreeOrder?[...u].reverse():u,[a,u]);L.useEffect(()=>{if(!o||!u.length||!b){v();return}for(const T of C){if((r==null?void 0:r(T))===!1)continue;const E=u.indexOf(T),P=d[E];if(!P)continue;const{direction:k,speed:O}=B8e(T,P,b,t,p);for(const M of["x","y"])g[M][k[M]]||(O[M]=0,k[M]=0);if(O.x>0||O.y>0){v(),y.current=T,m(S,s),x.current=O,_.current=k;return}}x.current={x:0,y:0},_.current={x:0,y:0},v()},[t,S,r,v,o,s,JSON.stringify(b),JSON.stringify(g),m,u,C,d,JSON.stringify(p)])}const Y8e={x:{[fr.Backward]:!1,[fr.Forward]:!1},y:{[fr.Backward]:!1,[fr.Forward]:!1}};function Q8e(e){let{delta:t,disabled:n}=e;const r=__(t);return zm(i=>{if(n||!r||!i)return Y8e;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[fr.Backward]:i.x[fr.Backward]||o.x===-1,[fr.Forward]:i.x[fr.Forward]||o.x===1},y:{[fr.Backward]:i.y[fr.Backward]||o.y===-1,[fr.Forward]:i.y[fr.Forward]||o.y===1}}},[n,t,r])}function Z8e(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return zm(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function J8e(e,t){return L.useMemo(()=>e.reduce((n,r)=>{const{sensor:i}=r,o=i.activators.map(s=>({eventName:s.eventName,handler:t(s.handler,r)}));return[...n,...o]},[]),[e,t])}var Xg;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(Xg||(Xg={}));var Y5;(function(e){e.Optimized="optimized"})(Y5||(Y5={}));const h7=new Map;function e9e(e,t){let{dragging:n,dependencies:r,config:i}=t;const[o,s]=L.useState(null),{frequency:a,measure:l,strategy:u}=i,d=L.useRef(e),f=x(),p=Wg(f),g=L.useCallback(function(_){_===void 0&&(_=[]),!p.current&&s(b=>b===null?_:b.concat(_.filter(y=>!b.includes(y))))},[p]),m=L.useRef(null),v=zm(_=>{if(f&&!n)return h7;if(!_||_===h7||d.current!==e||o!=null){const b=new Map;for(let y of e){if(!y)continue;if(o&&o.length>0&&!o.includes(y.id)&&y.rect.current){b.set(y.id,y.rect.current);continue}const S=y.node.current,C=S?new b6(l(S),S):null;y.rect.current=C,C&&b.set(y.id,C)}return b}return _},[e,o,n,f,l]);return L.useEffect(()=>{d.current=e},[e]),L.useEffect(()=>{f||g()},[n,f]),L.useEffect(()=>{o&&o.length>0&&s(null)},[JSON.stringify(o)]),L.useEffect(()=>{f||typeof a!="number"||m.current!==null||(m.current=setTimeout(()=>{g(),m.current=null},a))},[a,f,g,...r]),{droppableRects:v,measureDroppableContainers:g,measuringScheduled:o!=null};function x(){switch(u){case Xg.Always:return!1;case Xg.BeforeDragging:return n;default:return!n}}}function w6(e,t){return zm(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function t9e(e,t){return w6(e,t)}function n9e(e){let{callback:t,disabled:n}=e;const r=c2(t),i=L.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:o}=window;return new o(r)},[r,n]);return L.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function f2(e){let{callback:t,disabled:n}=e;const r=c2(t),i=L.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:o}=window;return new o(r)},[n]);return L.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function r9e(e){return new b6(Vm(e),e)}function p7(e,t,n){t===void 0&&(t=r9e);const[r,i]=L.useReducer(a,null),o=n9e({callback(l){if(e)for(const u of l){const{type:d,target:f}=u;if(d==="childList"&&f instanceof HTMLElement&&f.contains(e)){i();break}}}}),s=f2({callback:i});return $s(()=>{i(),e?(s==null||s.observe(e),o==null||o.observe(document.body,{childList:!0,subtree:!0})):(s==null||s.disconnect(),o==null||o.disconnect())},[e]),r;function a(l){if(!e)return null;if(e.isConnected===!1){var u;return(u=l??n)!=null?u:null}const d=t(e);return JSON.stringify(l)===JSON.stringify(d)?l:d}}function i9e(e){const t=w6(e);return Yj(e,t)}const g7=[];function o9e(e){const t=L.useRef(e),n=zm(r=>e?r&&r!==g7&&e&&t.current&&e.parentNode===t.current.parentNode?r:_6(e):g7,[e]);return L.useEffect(()=>{t.current=e},[e]),n}function s9e(e){const[t,n]=L.useState(null),r=L.useRef(e),i=L.useCallback(o=>{const s=dC(o.target);s&&n(a=>a?(a.set(s,K5(s)),new Map(a)):null)},[]);return L.useEffect(()=>{const o=r.current;if(e!==o){s(o);const a=e.map(l=>{const u=dC(l);return u?(u.addEventListener("scroll",i,{passive:!0}),[u,K5(u)]):null}).filter(l=>l!=null);n(a.length?new Map(a):null),r.current=e}return()=>{s(e),s(o)};function s(a){a.forEach(l=>{const u=dC(l);u==null||u.removeEventListener("scroll",i)})}},[i,e]),L.useMemo(()=>e.length?t?Array.from(t.values()).reduce((o,s)=>uf(o,s),ns):rG(e):ns,[e,t])}function m7(e,t){t===void 0&&(t=[]);const n=L.useRef(null);return L.useEffect(()=>{n.current=null},t),L.useEffect(()=>{const r=e!==ns;r&&!n.current&&(n.current=e),!r&&n.current&&(n.current=null)},[e]),n.current?b_(e,n.current):ns}function a9e(e){L.useEffect(()=>{if(!u2)return;const t=e.map(n=>{let{sensor:r}=n;return r.setup==null?void 0:r.setup()});return()=>{for(const n of t)n==null||n()}},e.map(t=>{let{sensor:n}=t;return n}))}function l9e(e,t){return L.useMemo(()=>e.reduce((n,r)=>{let{eventName:i,handler:o}=r;return n[i]=s=>{o(s,t)},n},{}),[e,t])}function cG(e){return L.useMemo(()=>e?L8e(e):null,[e])}const pC=[];function u9e(e,t){t===void 0&&(t=Vm);const[n]=e,r=cG(n?hi(n):null),[i,o]=L.useReducer(a,pC),s=f2({callback:o});return e.length>0&&i===pC&&o(),$s(()=>{e.length?e.forEach(l=>s==null?void 0:s.observe(l)):(s==null||s.disconnect(),o())},[e]),i;function a(){return e.length?e.map(l=>tG(l)?r:new b6(t(l),l)):pC}}function dG(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return Um(t)?t:e}function c9e(e){let{measure:t}=e;const[n,r]=L.useState(null),i=L.useCallback(u=>{for(const{target:d}of u)if(Um(d)){r(f=>{const p=t(d);return f?{...f,width:p.width,height:p.height}:p});break}},[t]),o=f2({callback:i}),s=L.useCallback(u=>{const d=dG(u);o==null||o.disconnect(),d&&(o==null||o.observe(d)),r(d?t(d):null)},[t,o]),[a,l]=v_(s);return L.useMemo(()=>({nodeRef:a,rect:n,setRef:l}),[n,a,l])}const d9e=[{sensor:aG,options:{}},{sensor:sG,options:{}}],f9e={current:{}},Iv={draggable:{measure:u7},droppable:{measure:u7,strategy:Xg.WhileDragging,frequency:Y5.Optimized},dragOverlay:{measure:Vm}};class Dp extends Map{get(t){var n;return t!=null&&(n=super.get(t))!=null?n:void 0}toArray(){return Array.from(this.values())}getEnabled(){return this.toArray().filter(t=>{let{disabled:n}=t;return!n})}getNodeFor(t){var n,r;return(n=(r=this.get(t))==null?void 0:r.node.current)!=null?n:void 0}}const h9e={activatorEvent:null,active:null,activeNode:null,activeNodeRect:null,collisions:null,containerNodeRect:null,draggableNodes:new Map,droppableRects:new Map,droppableContainers:new Dp,over:null,dragOverlay:{nodeRef:{current:null},rect:null,setRef:S_},scrollableAncestors:[],scrollableAncestorRects:[],measuringConfiguration:Iv,measureDroppableContainers:S_,windowRect:null,measuringScheduled:!1},fG={activatorEvent:null,activators:[],active:null,activeNodeRect:null,ariaDescribedById:{draggable:""},dispatch:S_,draggableNodes:new Map,over:null,measureDroppableContainers:S_},jm=L.createContext(fG),hG=L.createContext(h9e);function p9e(){return{draggable:{active:null,initialCoordinates:{x:0,y:0},nodes:new 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diff --git a/invokeai/frontend/web/dist/assets/menu-b4489359.js b/invokeai/frontend/web/dist/assets/menu-971c0572.js
similarity index 99%
rename from invokeai/frontend/web/dist/assets/menu-b4489359.js
rename to invokeai/frontend/web/dist/assets/menu-971c0572.js
index db994ae22b..d337c4a5f7 100644
--- a/invokeai/frontend/web/dist/assets/menu-b4489359.js
+++ b/invokeai/frontend/web/dist/assets/menu-971c0572.js
@@ -1 +1 @@
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diff --git a/invokeai/frontend/web/dist/index.html b/invokeai/frontend/web/dist/index.html
index 32d631cc03..f365c2b718 100644
--- a/invokeai/frontend/web/dist/index.html
+++ b/invokeai/frontend/web/dist/index.html
@@ -12,7 +12,7 @@
         margin: 0;
       }
     </style>
-    <script type="module" crossorigin src="./assets/index-deaa1f26.js"></script>
+    <script type="module" crossorigin src="./assets/index-2c171c8f.js"></script>
   </head>
 
   <body dir="ltr">
diff --git a/invokeai/frontend/web/dist/locales/en.json b/invokeai/frontend/web/dist/locales/en.json
index 63380a19fa..fbae5b4a30 100644
--- a/invokeai/frontend/web/dist/locales/en.json
+++ b/invokeai/frontend/web/dist/locales/en.json
@@ -503,6 +503,9 @@
         "hiresStrength": "High Res Strength",
         "imageFit": "Fit Initial Image To Output Size",
         "codeformerFidelity": "Fidelity",
+        "maskAdjustmentsHeader": "Mask Adjustments",
+        "maskBlur": "Mask Blur",
+        "maskBlurMethod": "Mask Blur Method",
         "seamSize": "Seam Size",
         "seamBlur": "Seam Blur",
         "seamStrength": "Seam Strength",

From eab67b6a01dac987412fe2c8ad6721e70dcef2dd Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lincoln.stein@gmail.com>
Date: Mon, 14 Aug 2023 13:00:55 -0700
Subject: [PATCH 224/287] fixed actual bug

---
 invokeai/backend/model_management/model_merge.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/backend/model_management/model_merge.py b/invokeai/backend/model_management/model_merge.py
index 6e7304a09e..40a0f65b2a 100644
--- a/invokeai/backend/model_management/model_merge.py
+++ b/invokeai/backend/model_management/model_merge.py
@@ -109,7 +109,7 @@ class ModelMerger(object):
             # pick up the first model's vae
             if mod == model_names[0]:
                 vae = info.get("vae")
-            model_paths.extend([config.root_path / info["path"]])
+            model_paths.extend([str(config.root_path / info["path"])])
 
         merge_method = None if interp == "weighted_sum" else MergeInterpolationMethod(interp)
         logger.debug(f"interp = {interp}, merge_method={merge_method}")

From b2934be6ba7aa93369744c1be6d95cad045a76f5 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Mon, 14 Aug 2023 21:17:46 -0400
Subject: [PATCH 225/287] use as_posix() instead of str()

---
 invokeai/app/api/routers/models.py               | 3 ++-
 invokeai/app/services/model_manager_service.py   | 2 +-
 invokeai/backend/model_management/model_merge.py | 8 ++++----
 3 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/invokeai/app/api/routers/models.py b/invokeai/app/api/routers/models.py
index 428f672618..b6c1edbbe1 100644
--- a/invokeai/app/api/routers/models.py
+++ b/invokeai/app/api/routers/models.py
@@ -267,11 +267,12 @@ async def convert_model(
     logger = ApiDependencies.invoker.services.logger
     try:
         logger.info(f"Converting model: {model_name}")
+        dest = pathlib.Path(convert_dest_directory) if convert_dest_directory else None
         ApiDependencies.invoker.services.model_manager.convert_model(
             model_name,
             base_model=base_model,
             model_type=model_type,
-            convert_dest_directory=convert_dest_directory,
+            convert_dest_directory=dest,
         )
         model_raw = ApiDependencies.invoker.services.model_manager.list_model(
             model_name, base_model=base_model, model_type=model_type
diff --git a/invokeai/app/services/model_manager_service.py b/invokeai/app/services/model_manager_service.py
index 973ff9f02b..fd14e26364 100644
--- a/invokeai/app/services/model_manager_service.py
+++ b/invokeai/app/services/model_manager_service.py
@@ -577,7 +577,7 @@ class ModelManagerService(ModelManagerServiceBase):
         alpha: float = 0.5,
         interp: Optional[MergeInterpolationMethod] = None,
         force: bool = False,
-        merge_dest_directory: Optional[str] = Field(
+        merge_dest_directory: Optional[Path] = Field(
             default=None, description="Optional directory location for merged model"
         ),
     ) -> AddModelResult:
diff --git a/invokeai/backend/model_management/model_merge.py b/invokeai/backend/model_management/model_merge.py
index 40a0f65b2a..a34d9b0e3e 100644
--- a/invokeai/backend/model_management/model_merge.py
+++ b/invokeai/backend/model_management/model_merge.py
@@ -31,7 +31,7 @@ class ModelMerger(object):
 
     def merge_diffusion_models(
         self,
-        model_paths: List[str],
+        model_paths: List[Path],
         alpha: float = 0.5,
         interp: Optional[MergeInterpolationMethod] = None,
         force: bool = False,
@@ -75,7 +75,7 @@ class ModelMerger(object):
         alpha: float = 0.5,
         interp: Optional[MergeInterpolationMethod] = None,
         force: bool = False,
-        merge_dest_directory: Optional[str] = None,
+        merge_dest_directory: Optional[Path] = None,
         **kwargs,
     ) -> AddModelResult:
         """
@@ -109,7 +109,7 @@ class ModelMerger(object):
             # pick up the first model's vae
             if mod == model_names[0]:
                 vae = info.get("vae")
-            model_paths.extend([str(config.root_path / info["path"])])
+            model_paths.extend([(config.root_path / info["path"]).as_posix()])
 
         merge_method = None if interp == "weighted_sum" else MergeInterpolationMethod(interp)
         logger.debug(f"interp = {interp}, merge_method={merge_method}")
@@ -120,7 +120,7 @@ class ModelMerger(object):
             else config.models_path / base_model.value / ModelType.Main.value
         )
         dump_path.mkdir(parents=True, exist_ok=True)
-        dump_path = str(dump_path / merged_model_name)
+        dump_path = (dump_path / merged_model_name).as_posix()
 
         merged_pipe.save_pretrained(dump_path, safe_serialization=True)
         attributes = dict(

From 4f82273fc4ac8846791c7196deea672d23e2c9ef Mon Sep 17 00:00:00 2001
From: Sergey Borisov <stalkek7779@yandex.ru>
Date: Mon, 14 Aug 2023 15:18:54 +0300
Subject: [PATCH 226/287] Update 'monkeypatched' controlnet class

---
 .../diffusion/shared_invokeai_diffusion.py    |   1 +
 invokeai/backend/util/hotfixes.py             | 136 ++++++++++++++++--
 2 files changed, 129 insertions(+), 8 deletions(-)

diff --git a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
index e739855b9e..f16855e775 100644
--- a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
+++ b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
@@ -240,6 +240,7 @@ class InvokeAIDiffuserComponent:
                     controlnet_cond=control_datum.image_tensor,
                     conditioning_scale=controlnet_weight,  # controlnet specific, NOT the guidance scale
                     encoder_attention_mask=encoder_attention_mask,
+                    added_cond_kwargs=added_cond_kwargs,
                     guess_mode=soft_injection,  # this is still called guess_mode in diffusers ControlNetModel
                     return_dict=False,
                 )
diff --git a/invokeai/backend/util/hotfixes.py b/invokeai/backend/util/hotfixes.py
index 4710682ac1..9c643d13bc 100644
--- a/invokeai/backend/util/hotfixes.py
+++ b/invokeai/backend/util/hotfixes.py
@@ -4,8 +4,9 @@ import torch
 from torch import nn
 
 from diffusers.configuration_utils import ConfigMixin, register_to_config
+from diffusers.loaders import FromOriginalControlnetMixin
 from diffusers.models.attention_processor import AttentionProcessor, AttnProcessor
-from diffusers.models.embeddings import TimestepEmbedding, Timesteps
+from diffusers.models.embeddings import TextImageProjection, TextImageTimeEmbedding, TextTimeEmbedding, TimestepEmbedding, Timesteps
 from diffusers.models.modeling_utils import ModelMixin
 from diffusers.models.unet_2d_blocks import (
     CrossAttnDownBlock2D,
@@ -18,10 +19,10 @@ from diffusers.models.unet_2d_condition import UNet2DConditionModel
 import diffusers
 from diffusers.models.controlnet import ControlNetConditioningEmbedding, ControlNetOutput, zero_module
 
+# TODO: create PR to diffusers
 # Modified ControlNetModel with encoder_attention_mask argument added
 
-
-class ControlNetModel(ModelMixin, ConfigMixin):
+class ControlNetModel(ModelMixin, ConfigMixin, FromOriginalControlnetMixin):
     """
     A ControlNet model.
 
@@ -52,12 +53,25 @@ class ControlNetModel(ModelMixin, ConfigMixin):
             The epsilon to use for the normalization.
         cross_attention_dim (`int`, defaults to 1280):
             The dimension of the cross attention features.
+        transformer_layers_per_block (`int` or `Tuple[int]`, *optional*, defaults to 1):
+            The number of transformer blocks of type [`~models.attention.BasicTransformerBlock`]. Only relevant for
+            [`~models.unet_2d_blocks.CrossAttnDownBlock2D`], [`~models.unet_2d_blocks.CrossAttnUpBlock2D`],
+            [`~models.unet_2d_blocks.UNetMidBlock2DCrossAttn`].
+        encoder_hid_dim (`int`, *optional*, defaults to None):
+            If `encoder_hid_dim_type` is defined, `encoder_hidden_states` will be projected from `encoder_hid_dim`
+            dimension to `cross_attention_dim`.
+        encoder_hid_dim_type (`str`, *optional*, defaults to `None`):
+            If given, the `encoder_hidden_states` and potentially other embeddings are down-projected to text
+            embeddings of dimension `cross_attention` according to `encoder_hid_dim_type`.
         attention_head_dim (`Union[int, Tuple[int]]`, defaults to 8):
             The dimension of the attention heads.
         use_linear_projection (`bool`, defaults to `False`):
         class_embed_type (`str`, *optional*, defaults to `None`):
             The type of class embedding to use which is ultimately summed with the time embeddings. Choose from None,
             `"timestep"`, `"identity"`, `"projection"`, or `"simple_projection"`.
+        addition_embed_type (`str`, *optional*, defaults to `None`):
+            Configures an optional embedding which will be summed with the time embeddings. Choose from `None` or
+            "text". "text" will use the `TextTimeEmbedding` layer.
         num_class_embeds (`int`, *optional*, defaults to 0):
             Input dimension of the learnable embedding matrix to be projected to `time_embed_dim`, when performing
             class conditioning with `class_embed_type` equal to `None`.
@@ -98,10 +112,15 @@ class ControlNetModel(ModelMixin, ConfigMixin):
         norm_num_groups: Optional[int] = 32,
         norm_eps: float = 1e-5,
         cross_attention_dim: int = 1280,
+        transformer_layers_per_block: Union[int, Tuple[int]] = 1,
+        encoder_hid_dim: Optional[int] = None,
+        encoder_hid_dim_type: Optional[str] = None,
         attention_head_dim: Union[int, Tuple[int]] = 8,
         num_attention_heads: Optional[Union[int, Tuple[int]]] = None,
         use_linear_projection: bool = False,
         class_embed_type: Optional[str] = None,
+        addition_embed_type: Optional[str] = None,
+        addition_time_embed_dim: Optional[int] = None,
         num_class_embeds: Optional[int] = None,
         upcast_attention: bool = False,
         resnet_time_scale_shift: str = "default",
@@ -109,6 +128,7 @@ class ControlNetModel(ModelMixin, ConfigMixin):
         controlnet_conditioning_channel_order: str = "rgb",
         conditioning_embedding_out_channels: Optional[Tuple[int]] = (16, 32, 96, 256),
         global_pool_conditions: bool = False,
+        addition_embed_type_num_heads=64,
     ):
         super().__init__()
 
@@ -136,6 +156,9 @@ class ControlNetModel(ModelMixin, ConfigMixin):
                 f"Must provide the same number of `num_attention_heads` as `down_block_types`. `num_attention_heads`: {num_attention_heads}. `down_block_types`: {down_block_types}."
             )
 
+        if isinstance(transformer_layers_per_block, int):
+            transformer_layers_per_block = [transformer_layers_per_block] * len(down_block_types)
+
         # input
         conv_in_kernel = 3
         conv_in_padding = (conv_in_kernel - 1) // 2
@@ -145,16 +168,43 @@ class ControlNetModel(ModelMixin, ConfigMixin):
 
         # time
         time_embed_dim = block_out_channels[0] * 4
-
         self.time_proj = Timesteps(block_out_channels[0], flip_sin_to_cos, freq_shift)
         timestep_input_dim = block_out_channels[0]
-
         self.time_embedding = TimestepEmbedding(
             timestep_input_dim,
             time_embed_dim,
             act_fn=act_fn,
         )
 
+        if encoder_hid_dim_type is None and encoder_hid_dim is not None:
+            encoder_hid_dim_type = "text_proj"
+            self.register_to_config(encoder_hid_dim_type=encoder_hid_dim_type)
+            logger.info("encoder_hid_dim_type defaults to 'text_proj' as `encoder_hid_dim` is defined.")
+
+        if encoder_hid_dim is None and encoder_hid_dim_type is not None:
+            raise ValueError(
+                f"`encoder_hid_dim` has to be defined when `encoder_hid_dim_type` is set to {encoder_hid_dim_type}."
+            )
+
+        if encoder_hid_dim_type == "text_proj":
+            self.encoder_hid_proj = nn.Linear(encoder_hid_dim, cross_attention_dim)
+        elif encoder_hid_dim_type == "text_image_proj":
+            # image_embed_dim DOESN'T have to be `cross_attention_dim`. To not clutter the __init__ too much
+            # they are set to `cross_attention_dim` here as this is exactly the required dimension for the currently only use
+            # case when `addition_embed_type == "text_image_proj"` (Kadinsky 2.1)`
+            self.encoder_hid_proj = TextImageProjection(
+                text_embed_dim=encoder_hid_dim,
+                image_embed_dim=cross_attention_dim,
+                cross_attention_dim=cross_attention_dim,
+            )
+
+        elif encoder_hid_dim_type is not None:
+            raise ValueError(
+                f"encoder_hid_dim_type: {encoder_hid_dim_type} must be None, 'text_proj' or 'text_image_proj'."
+            )
+        else:
+            self.encoder_hid_proj = None
+
         # class embedding
         if class_embed_type is None and num_class_embeds is not None:
             self.class_embedding = nn.Embedding(num_class_embeds, time_embed_dim)
@@ -178,6 +228,29 @@ class ControlNetModel(ModelMixin, ConfigMixin):
         else:
             self.class_embedding = None
 
+        if addition_embed_type == "text":
+            if encoder_hid_dim is not None:
+                text_time_embedding_from_dim = encoder_hid_dim
+            else:
+                text_time_embedding_from_dim = cross_attention_dim
+
+            self.add_embedding = TextTimeEmbedding(
+                text_time_embedding_from_dim, time_embed_dim, num_heads=addition_embed_type_num_heads
+            )
+        elif addition_embed_type == "text_image":
+            # text_embed_dim and image_embed_dim DON'T have to be `cross_attention_dim`. To not clutter the __init__ too much
+            # they are set to `cross_attention_dim` here as this is exactly the required dimension for the currently only use
+            # case when `addition_embed_type == "text_image"` (Kadinsky 2.1)`
+            self.add_embedding = TextImageTimeEmbedding(
+                text_embed_dim=cross_attention_dim, image_embed_dim=cross_attention_dim, time_embed_dim=time_embed_dim
+            )
+        elif addition_embed_type == "text_time":
+            self.add_time_proj = Timesteps(addition_time_embed_dim, flip_sin_to_cos, freq_shift)
+            self.add_embedding = TimestepEmbedding(projection_class_embeddings_input_dim, time_embed_dim)
+
+        elif addition_embed_type is not None:
+            raise ValueError(f"addition_embed_type: {addition_embed_type} must be None, 'text' or 'text_image'.")
+
         # control net conditioning embedding
         self.controlnet_cond_embedding = ControlNetConditioningEmbedding(
             conditioning_embedding_channels=block_out_channels[0],
@@ -212,6 +285,7 @@ class ControlNetModel(ModelMixin, ConfigMixin):
             down_block = get_down_block(
                 down_block_type,
                 num_layers=layers_per_block,
+                transformer_layers_per_block=transformer_layers_per_block[i],
                 in_channels=input_channel,
                 out_channels=output_channel,
                 temb_channels=time_embed_dim,
@@ -248,6 +322,7 @@ class ControlNetModel(ModelMixin, ConfigMixin):
         self.controlnet_mid_block = controlnet_block
 
         self.mid_block = UNetMidBlock2DCrossAttn(
+            transformer_layers_per_block=transformer_layers_per_block[-1],
             in_channels=mid_block_channel,
             temb_channels=time_embed_dim,
             resnet_eps=norm_eps,
@@ -277,7 +352,22 @@ class ControlNetModel(ModelMixin, ConfigMixin):
                 The UNet model weights to copy to the [`ControlNetModel`]. All configuration options are also copied
                 where applicable.
         """
+        transformer_layers_per_block = (
+            unet.config.transformer_layers_per_block if "transformer_layers_per_block" in unet.config else 1
+        )
+        encoder_hid_dim = unet.config.encoder_hid_dim if "encoder_hid_dim" in unet.config else None
+        encoder_hid_dim_type = unet.config.encoder_hid_dim_type if "encoder_hid_dim_type" in unet.config else None
+        addition_embed_type = unet.config.addition_embed_type if "addition_embed_type" in unet.config else None
+        addition_time_embed_dim = (
+            unet.config.addition_time_embed_dim if "addition_time_embed_dim" in unet.config else None
+        )
+
         controlnet = cls(
+            encoder_hid_dim=encoder_hid_dim,
+            encoder_hid_dim_type=encoder_hid_dim_type,
+            addition_embed_type=addition_embed_type,
+            addition_time_embed_dim=addition_time_embed_dim,
+            transformer_layers_per_block=transformer_layers_per_block,
             in_channels=unet.config.in_channels,
             flip_sin_to_cos=unet.config.flip_sin_to_cos,
             freq_shift=unet.config.freq_shift,
@@ -463,6 +553,7 @@ class ControlNetModel(ModelMixin, ConfigMixin):
         class_labels: Optional[torch.Tensor] = None,
         timestep_cond: Optional[torch.Tensor] = None,
         attention_mask: Optional[torch.Tensor] = None,
+        added_cond_kwargs: Optional[Dict[str, torch.Tensor]] = None,
         cross_attention_kwargs: Optional[Dict[str, Any]] = None,
         encoder_attention_mask: Optional[torch.Tensor] = None,
         guess_mode: bool = False,
@@ -486,7 +577,9 @@ class ControlNetModel(ModelMixin, ConfigMixin):
                 Optional class labels for conditioning. Their embeddings will be summed with the timestep embeddings.
             timestep_cond (`torch.Tensor`, *optional*, defaults to `None`):
             attention_mask (`torch.Tensor`, *optional*, defaults to `None`):
-            cross_attention_kwargs(`dict[str]`, *optional*, defaults to `None`):
+            added_cond_kwargs (`dict`):
+                Additional conditions for the Stable Diffusion XL UNet.
+            cross_attention_kwargs (`dict[str]`, *optional*, defaults to `None`):
                 A kwargs dictionary that if specified is passed along to the `AttnProcessor`.
             encoder_attention_mask (`torch.Tensor`):
                 A cross-attention mask of shape `(batch, sequence_length)` is applied to `encoder_hidden_states`. If
@@ -549,6 +642,7 @@ class ControlNetModel(ModelMixin, ConfigMixin):
         t_emb = t_emb.to(dtype=sample.dtype)
 
         emb = self.time_embedding(t_emb, timestep_cond)
+        aug_emb = None
 
         if self.class_embedding is not None:
             if class_labels is None:
@@ -560,11 +654,34 @@ class ControlNetModel(ModelMixin, ConfigMixin):
             class_emb = self.class_embedding(class_labels).to(dtype=self.dtype)
             emb = emb + class_emb
 
+        if "addition_embed_type" in self.config:
+            if self.config.addition_embed_type == "text":
+                aug_emb = self.add_embedding(encoder_hidden_states)
+
+            elif self.config.addition_embed_type == "text_time":
+                if "text_embeds" not in added_cond_kwargs:
+                    raise ValueError(
+                        f"{self.__class__} has the config param `addition_embed_type` set to 'text_time' which requires the keyword argument `text_embeds` to be passed in `added_cond_kwargs`"
+                    )
+                text_embeds = added_cond_kwargs.get("text_embeds")
+                if "time_ids" not in added_cond_kwargs:
+                    raise ValueError(
+                        f"{self.__class__} has the config param `addition_embed_type` set to 'text_time' which requires the keyword argument `time_ids` to be passed in `added_cond_kwargs`"
+                    )
+                time_ids = added_cond_kwargs.get("time_ids")
+                time_embeds = self.add_time_proj(time_ids.flatten())
+                time_embeds = time_embeds.reshape((text_embeds.shape[0], -1))
+
+                add_embeds = torch.concat([text_embeds, time_embeds], dim=-1)
+                add_embeds = add_embeds.to(emb.dtype)
+                aug_emb = self.add_embedding(add_embeds)
+
+        emb = emb + aug_emb if aug_emb is not None else emb
+
         # 2. pre-process
         sample = self.conv_in(sample)
 
         controlnet_cond = self.controlnet_cond_embedding(controlnet_cond)
-
         sample = sample + controlnet_cond
 
         # 3. down
@@ -619,7 +736,9 @@ class ControlNetModel(ModelMixin, ConfigMixin):
             mid_block_res_sample = mid_block_res_sample * conditioning_scale
 
         if self.config.global_pool_conditions:
-            down_block_res_samples = [torch.mean(sample, dim=(2, 3), keepdim=True) for sample in down_block_res_samples]
+            down_block_res_samples = [
+                torch.mean(sample, dim=(2, 3), keepdim=True) for sample in down_block_res_samples
+            ]
             mid_block_res_sample = torch.mean(mid_block_res_sample, dim=(2, 3), keepdim=True)
 
         if not return_dict:
@@ -630,5 +749,6 @@ class ControlNetModel(ModelMixin, ConfigMixin):
         )
 
 
+
 diffusers.ControlNetModel = ControlNetModel
 diffusers.models.controlnet.ControlNetModel = ControlNetModel

From d6c9bf5b38785df1e7a29bea5132ea0f82424249 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Tue, 15 Aug 2023 11:46:37 -0400
Subject: [PATCH 227/287] added sdxl controlnet detection

---
 invokeai/backend/model_management/model_probe.py | 14 ++++++++++++--
 1 file changed, 12 insertions(+), 2 deletions(-)

diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index 145c56c273..3045849065 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -481,9 +481,19 @@ class ControlNetFolderProbe(FolderProbeBase):
         with open(config_file, "r") as file:
             config = json.load(file)
         # no obvious way to distinguish between sd2-base and sd2-768
-        return (
-            BaseModelType.StableDiffusion1 if config["cross_attention_dim"] == 768 else BaseModelType.StableDiffusion2
+        dimension = config["cross_attention_dim"]
+        base_model = (
+            BaseModelType.StableDiffusion1
+            if dimension == 768
+            else BaseModelType.StableDiffusion2
+            if dimension == 1024
+            else BaseModelType.StableDiffusionXL
+            if dimension == 2048
+            else None
         )
+        if not base_model:
+            raise InvalidModelException(f"Unable to determine model base for {self.folder_path}")
+        return base_model
 
 
 class LoRAFolderProbe(FolderProbeBase):

From a4b029d03c952067287a9e5b0ceb2c2a58d18cc0 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Tue, 15 Aug 2023 18:21:31 -0400
Subject: [PATCH 228/287] write RAM usage and change after each generation

---
 invokeai/app/services/invocation_stats.py | 50 ++++++++++++++++-------
 1 file changed, 36 insertions(+), 14 deletions(-)

diff --git a/invokeai/app/services/invocation_stats.py b/invokeai/app/services/invocation_stats.py
index 50320a6611..9d50375c09 100644
--- a/invokeai/app/services/invocation_stats.py
+++ b/invokeai/app/services/invocation_stats.py
@@ -29,6 +29,7 @@ The abstract base class for this class is InvocationStatsServiceBase. An impleme
 writes to the system log is stored in InvocationServices.performance_statistics.
 """
 
+import psutil
 import time
 from abc import ABC, abstractmethod
 from contextlib import AbstractContextManager
@@ -83,13 +84,14 @@ class InvocationStatsServiceBase(ABC):
         pass
 
     @abstractmethod
-    def update_invocation_stats(
-        self,
-        graph_id: str,
-        invocation_type: str,
-        time_used: float,
-        vram_used: float,
-    ):
+    def update_invocation_stats(self,
+                                graph_id: str,
+                                invocation_type: str,
+                                time_used: float,
+                                vram_used: float,
+                                ram_used: float,
+                                ram_changed: float,
+                                ):
         """
         Add timing information on execution of a node. Usually
         used internally.
@@ -97,6 +99,8 @@ class InvocationStatsServiceBase(ABC):
         :param invocation_type: String literal type of the node
         :param time_used: Time used by node's exection (sec)
         :param vram_used: Maximum VRAM used during exection (GB)
+        :param ram_used: Current RAM available (GB)
+        :param ram_changed: Change in RAM usage over course of the run (GB)
         """
         pass
 
@@ -140,18 +144,23 @@ class InvocationStatsService(InvocationStatsServiceBase):
             self.collector = collector
             self.graph_id = graph_id
             self.start_time = 0
+            self.ram_info = None
 
         def __enter__(self):
             self.start_time = time.time()
             if torch.cuda.is_available():
                 torch.cuda.reset_peak_memory_stats()
+            self.ram_info = psutil.virtual_memory()
+            
 
         def __exit__(self, *args):
             self.collector.update_invocation_stats(
-                self.graph_id,
-                self.invocation.type,
-                time.time() - self.start_time,
-                torch.cuda.max_memory_allocated() / 1e9 if torch.cuda.is_available() else 0.0,
+                graph_id = self.graph_id,
+                invocation_type = self.invocation.type,
+                time_used = time.time() - self.start_time,
+                vram_used = torch.cuda.max_memory_allocated() / 1e9 if torch.cuda.is_available() else 0.0,
+                ram_used = psutil.virtual_memory().used / 1e9,
+                ram_changed = (psutil.virtual_memory().used - self.ram_info.used) / 1e9,
             )
 
     def collect_stats(
@@ -179,13 +188,23 @@ class InvocationStatsService(InvocationStatsServiceBase):
         except KeyError:
             logger.warning(f"Attempted to clear statistics for unknown graph {graph_execution_id}")
 
-    def update_invocation_stats(self, graph_id: str, invocation_type: str, time_used: float, vram_used: float):
+    def update_invocation_stats(self,
+                                graph_id: str,
+                                invocation_type: str,
+                                time_used: float,
+                                vram_used: float,
+                                ram_used: float,
+                                ram_changed: float,
+                                ):
         """
         Add timing information on execution of a node. Usually
         used internally.
         :param graph_id: ID of the graph that is currently executing
         :param invocation_type: String literal type of the node
-        :param time_used: Floating point seconds used by node's exection
+        :param time_used: Time used by node's exection (sec)
+        :param vram_used: Maximum VRAM used during exection (GB)
+        :param ram_used: Current RAM available (GB)
+        :param ram_changed: Change in RAM usage over course of the run (GB)
         """
         if not self._stats[graph_id].nodes.get(invocation_type):
             self._stats[graph_id].nodes[invocation_type] = NodeStats()
@@ -193,6 +212,8 @@ class InvocationStatsService(InvocationStatsServiceBase):
         stats.calls += 1
         stats.time_used += time_used
         stats.max_vram = max(stats.max_vram, vram_used)
+        stats.ram_used = ram_used
+        stats.ram_changed = ram_changed
 
     def log_stats(self):
         """
@@ -214,8 +235,9 @@ class InvocationStatsService(InvocationStatsServiceBase):
                 total_time += stats.time_used
 
             logger.info(f"TOTAL GRAPH EXECUTION TIME:  {total_time:7.3f}s")
+            logger.info("Current RAM used: " + "%4.2fG" % stats.ram_used + f" (delta={stats.ram_changed:4.2f}G)")
             if torch.cuda.is_available():
-                logger.info("Current VRAM utilization " + "%4.2fG" % (torch.cuda.memory_allocated() / 1e9))
+                logger.info("Current VRAM used: " + "%4.2fG" % (torch.cuda.memory_allocated() / 1e9))
 
             completed.add(graph_id)
 

From f49fc7fb5584c07c705a7792cfc2e7d75be79db5 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 14 Aug 2023 13:23:09 +1000
Subject: [PATCH 229/287] feat: node editor

squashed rebase on main after backendd refactor
---
 invokeai/app/api_app.py                       |   7 +-
 invokeai/app/invocations/baseinvocation.py    | 475 ++++++++-
 invokeai/app/invocations/collections.py       | 104 +-
 invokeai/app/invocations/compel.py            | 133 +--
 .../controlnet_image_processors.py            | 450 +++------
 invokeai/app/invocations/cv.py                |  30 +-
 invokeai/app/invocations/image.py             | 352 +++----
 invokeai/app/invocations/infill.py            |  44 +-
 invokeai/app/invocations/latent.py            | 186 ++--
 invokeai/app/invocations/math.py              | 102 +-
 invokeai/app/invocations/metadata.py          | 122 ++-
 invokeai/app/invocations/model.py             | 139 ++-
 invokeai/app/invocations/noise.py             |  48 +-
 invokeai/app/invocations/onnx.py              | 247 ++---
 invokeai/app/invocations/param_easing.py      | 117 +--
 invokeai/app/invocations/params.py            |  56 +-
 invokeai/app/invocations/prompt.py            |  75 +-
 invokeai/app/invocations/sdxl.py              |  73 +-
 invokeai/app/invocations/upscale.py           |  14 +-
 invokeai/app/models/image.py                  |  14 +-
 invokeai/app/services/graph.py                |  56 +-
 invokeai/app/services/processor.py            |   5 +-
 invokeai/app/services/sqlite.py               |   3 +-
 invokeai/frontend/web/package.json            |   1 +
 invokeai/frontend/web/scripts/colors.js       |  34 +
 invokeai/frontend/web/scripts/typegen.js      |  66 +-
 .../web/src/app/components/GlobalHotkeys.ts   |  33 +-
 .../web/src/app/components/InvokeAIUI.tsx     |   6 +-
 .../frontend/web/src/app/logging/logger.ts    |   3 +-
 .../middleware/devtools/actionsDenylist.ts    |   2 +-
 .../listeners/imageDropped.ts                 |  36 +-
 .../listeners/imageUploaded.ts                |   6 +-
 .../listeners/modelsLoaded.ts                 |  85 +-
 .../listeners/receivedOpenAPISchema.ts        |   9 +-
 .../socketio/socketInvocationComplete.ts      |   2 +-
 .../listeners/userInvokedNodes.ts             |   2 +-
 .../frontend/web/src/app/types/invokeai.ts    |  81 +-
 .../web/src/common/components/IAIDndImage.tsx |  25 +-
 .../src/common/components/IAIDraggable.tsx    |  19 +-
 .../src/common/components/IAIDroppable.tsx    |  10 +-
 .../common/components/IAIImageFallback.tsx    |   4 +-
 .../web/src/common/components/IAISwitch.tsx   |  45 +-
 .../src/common/hooks/useChakraThemeTokens.ts  | 114 +++
 .../frontend/web/src/common/util/serialize.ts |   8 +-
 .../components/ControlNetImagePreview.tsx     |   2 +-
 .../src/features/controlNet/store/types.ts    |   6 +-
 .../deleteImageModal/store/selectors.ts       |   5 +-
 .../dnd/components/AppDndContext.tsx}         |  49 +-
 .../dnd/components/DndContextTypesafe.tsx     |   6 +
 .../dnd/components}/DragPreview.tsx           |  33 +-
 .../src/features/dnd/hooks/typesafeHooks.ts   |  15 +
 .../dnd/hooks/useScaledCenteredModifer.ts     |  50 +
 .../dnd/types/index.ts}                       | 133 +--
 .../web/src/features/dnd/util/isValidDrop.ts  |  87 ++
 .../Boards/BoardsList/GalleryBoard.tsx        |   2 +-
 .../Boards/BoardsList/GenericBoard.tsx        |   2 +-
 .../Boards/BoardsList/NoBoardBoard.tsx        |   4 +-
 .../CurrentImage/CurrentImagePreview.tsx      |   8 +-
 .../components/ImageGalleryContent.tsx        |   2 +
 .../components/ImageGrid/GalleryImage.tsx     |  10 +-
 .../components/ImageGrid/GalleryImageGrid.tsx |   2 +-
 .../ImageMetadataViewer/ImageMetadataJSON.tsx |  45 +-
 .../ImageMetadataViewer.tsx                   |  87 +-
 .../features/nodes/components/AddNodeMenu.tsx |  25 +-
 .../nodes/components/CustomConnectionLine.tsx |  61 ++
 .../features/nodes/components/CustomEdges.tsx | 183 ++++
 .../features/nodes/components/CustomNodes.tsx |   9 +
 .../features/nodes/components/FieldHandle.tsx |  64 --
 .../nodes/components/FieldTypeLegend.tsx      |  16 +-
 .../src/features/nodes/components/Flow.tsx    |  94 +-
 .../components/IAINode/IAINodeHeader.tsx      |  55 -
 .../components/IAINode/IAINodeInputs.tsx      | 149 ---
 .../components/IAINode/IAINodeOutputs.tsx     |  97 --
 .../nodes/components/InputFieldComponent.tsx  | 252 -----
 .../Invocation/NodeCollapseButton.tsx         |  57 ++
 .../Invocation/NodeCollapsedHandles.tsx       |  74 ++
 .../components/Invocation/NodeFooter.tsx      |  77 ++
 .../components/Invocation/NodeNotesEdit.tsx   | 113 +++
 .../NodeResizer.tsx}                          |   7 +-
 .../components/Invocation/NodeSettings.tsx    |  69 ++
 .../Invocation/NodeStatusIndicator.tsx        | 185 ++++
 .../nodes/components/Invocation/NodeTitle.tsx | 123 +++
 .../components/Invocation/NodeWrapper.tsx     |  96 ++
 .../nodes/components/InvocationComponent.tsx  |  74 --
 .../features/nodes/components/NodeEditor.tsx  |  50 +-
 .../nodes/components/NodeEditorSettings.tsx   | 139 +++
 .../nodes/components/NodeGraphOverlay.tsx     |  46 +-
 .../nodes/components/NodeOpacitySlider.tsx    |  42 +
 .../features/nodes/components/NodeWrapper.tsx |  36 -
 .../nodes/components/ProgressImageNode.tsx    |  73 --
 .../nodes/components/ViewportControls.tsx     |  39 +-
 .../BottomLeftPanel.tsx}                      |   7 +-
 .../{panels => editorPanels}/MinimapPanel.tsx |   5 +-
 .../TopCenterPanel.tsx                        |   6 +-
 .../{panels => editorPanels}/TopLeftPanel.tsx |   0
 .../TopRightPanel.tsx                         |   8 +-
 .../fields/ArrayInputFieldComponent.tsx       |  15 -
 .../fields/EnumInputFieldComponent.tsx        |  37 -
 .../components/fields/FieldContextMenu.tsx    |  47 +
 .../nodes/components/fields/FieldHandle.tsx   | 122 +++
 .../nodes/components/fields/FieldTitle.tsx    | 161 +++
 .../components/fields/FieldTooltipContent.tsx |  41 +
 .../nodes/components/fields/InputField.tsx    | 153 +++
 .../components/fields/InputFieldRenderer.tsx  | 293 ++++++
 .../fields/ItemInputFieldComponent.tsx        |  15 -
 .../components/fields/LinearViewField.tsx     |  88 ++
 .../nodes/components/fields/OutputField.tsx   | 114 +++
 .../fields/StringInputFieldComponent.tsx      |  36 -
 .../BooleanInputField.tsx}                    |  28 +-
 .../ClipInputField.tsx}                       |   0
 .../fieldTypes/CollectionInputField.tsx       |  17 +
 .../fieldTypes/CollectionItemInputField.tsx   |  17 +
 .../ColorInputField.tsx}                      |  26 +-
 .../ConditioningInputField.tsx}               |   0
 .../ControlInputField.tsx}                    |   0
 .../ControlNetModelInputField.tsx}            |  11 +-
 .../fields/fieldTypes/EnumInputField.tsx      |  45 +
 .../ImageCollectionInputField.tsx}            |  15 +-
 .../ImageInputField.tsx}                      |  17 +-
 .../LatentsInputField.tsx}                    |   0
 .../LoRAModelInputField.tsx}                  |  12 +-
 .../fields/fieldTypes/MainModelInputField.tsx | 144 +++
 .../NumberInputField.tsx}                     |  28 +-
 .../RefinerModelInputField.tsx}               |  22 +-
 .../SDXLMainModelInputField.tsx}              |  51 +-
 .../fields/fieldTypes/StringInputField.tsx    |  46 +
 .../UnetInputField.tsx}                       |   0
 .../VaeInputField.tsx}                        |   0
 .../VaeModelInputField.tsx}                   |   7 +-
 .../fields/{ => fieldTypes}/types.ts          |   7 +-
 .../components/nodes/CurrentImageNode.tsx     |  93 ++
 .../nodes/components/nodes/InvocationNode.tsx | 127 +++
 .../nodes/components/nodes/NotesNode.tsx      |  73 ++
 .../nodes/components/panel/InspectorPanel.tsx | 101 ++
 .../components/panel/NodeDataInspector.tsx    |  36 +
 .../components/panel/NodeEditorPanelGroup.tsx |  49 +
 .../components/panel/ScrollableContent.tsx    |  45 +
 .../nodes/components/panel/WorkflowPanel.tsx  |  52 +
 .../components/panel/workflow/GeneralTab.tsx  | 142 +++
 .../components/panel/workflow/LinearTab.tsx   | 114 +++
 .../components/panel/workflow/NotesTab.tsx    |  51 +
 .../components/panel/workflow/WorkflowTab.tsx |  43 +
 .../nodes/components/search/NodeSearch.tsx    |  21 +-
 .../nodes/components/ui/LoadGraphButton.tsx   | 161 ---
 .../nodes/components/ui/NodeInvokeButton.tsx  |  16 +-
 .../nodes/components/ui/SaveGraphButton.tsx   |  48 -
 ...BuildInvocation.ts => useBuildNodeData.ts} |  68 +-
 .../nodes/hooks/useConnectionState.ts         |  92 ++
 .../nodes/hooks/useIsValidConnection.ts       | 166 +--
 .../nodes/store/nodesPersistDenylist.ts       |   6 +-
 .../src/features/nodes/store/nodesSlice.ts    | 614 ++++++++++-
 .../web/src/features/nodes/store/selectors.ts |  92 ++
 .../web/src/features/nodes/store/types.ts     |  31 +-
 .../util/makeIsConnectionValidSelector.ts     |  92 ++
 .../nodes/store/util/makeTemplateSelector.ts  |  23 +-
 .../web/src/features/nodes/types/constants.ts | 210 ++--
 .../web/src/features/nodes/types/types.ts     | 434 +++++---
 .../src/features/nodes/util/buildWorkflow.ts  |  42 +
 .../nodes/util/fieldTemplateBuilders.ts       | 415 +++++---
 .../features/nodes/util/fieldValueBuilders.ts | 130 +--
 .../addControlNetToLinearGraph.ts             |   4 +-
 .../util/graphBuilders/addLoRAsToGraph.ts     |   2 +-
 .../graphBuilders/addNSFWCheckerToGraph.ts    |   2 +-
 .../util/graphBuilders/addSDXLLoRAstoGraph.ts |   3 +
 .../graphBuilders/addSDXLRefinerToGraph.ts    |   4 +-
 .../graphBuilders/buildCanvasOutpaintGraph.ts |   4 +-
 .../buildCanvasSDXLOutpaintGraph.ts           |   4 +-
 .../util/graphBuilders/buildNodesGraph.ts     |  17 +-
 .../src/features/nodes/util/parseSchema.ts    | 102 +-
 .../Parameters/ImageToImage/InitialImage.tsx  |   8 +-
 .../SettingsModal/SettingsModal.tsx           |  31 +-
 .../src/features/system/store/systemSlice.ts  |   8 +-
 .../src/features/ui/components/InvokeTabs.tsx |  25 +-
 .../ui/components/tabs/Nodes/NodesTab.tsx     |   9 +-
 .../ui/components/tabs/ResizeHandle.tsx       |  55 +-
 .../UnifiedCanvas/UnifiedCanvasContent.tsx    |  13 +-
 .../features/ui/hooks/useMinimumPanelSize.ts  |   9 +-
 .../web/src/features/ui/store/hotkeysSlice.ts |  13 +-
 .../web/src/services/api/constants.ts         |   3 +
 .../frontend/web/src/services/api/schema.d.ts | 954 ++++++++++--------
 .../web/src/services/api/thunks/schema.ts     |   6 +-
 .../frontend/web/src/services/api/types.ts    | 298 ++----
 .../web/src/theme/components/checkbox.ts      |   9 +-
 .../web/src/theme/components/formLabel.ts     |   3 +
 .../frontend/web/src/theme/components/tabs.ts |  47 +-
 .../web/src/theme/components/textarea.ts      |   1 +
 .../web/src/theme/custom/reactflow.ts         |  21 +
 invokeai/frontend/web/src/theme/theme.ts      |  22 +-
 188 files changed, 8541 insertions(+), 4660 deletions(-)
 create mode 100644 invokeai/frontend/web/scripts/colors.js
 rename invokeai/frontend/web/src/{app/components/ImageDnd/ImageDndContext.tsx => features/dnd/components/AppDndContext.tsx} (70%)
 create mode 100644 invokeai/frontend/web/src/features/dnd/components/DndContextTypesafe.tsx
 rename invokeai/frontend/web/src/{app/components/ImageDnd => features/dnd/components}/DragPreview.tsx (69%)
 create mode 100644 invokeai/frontend/web/src/features/dnd/hooks/typesafeHooks.ts
 create mode 100644 invokeai/frontend/web/src/features/dnd/hooks/useScaledCenteredModifer.ts
 rename invokeai/frontend/web/src/{app/components/ImageDnd/typesafeDnd.tsx => features/dnd/types/index.ts} (51%)
 create mode 100644 invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/CustomConnectionLine.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/CustomEdges.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/CustomNodes.tsx
 delete mode 100644 invokeai/frontend/web/src/features/nodes/components/FieldHandle.tsx
 delete mode 100644 invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeHeader.tsx
 delete mode 100644 invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeInputs.tsx
 delete mode 100644 invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeOutputs.tsx
 delete mode 100644 invokeai/frontend/web/src/features/nodes/components/InputFieldComponent.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapseButton.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapsedHandles.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/Invocation/NodeNotesEdit.tsx
 rename invokeai/frontend/web/src/features/nodes/components/{IAINode/IAINodeResizer.tsx => Invocation/NodeResizer.tsx} (73%)
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/Invocation/NodeSettings.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/Invocation/NodeStatusIndicator.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/Invocation/NodeTitle.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/Invocation/NodeWrapper.tsx
 delete mode 100644 invokeai/frontend/web/src/features/nodes/components/InvocationComponent.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/NodeEditorSettings.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/NodeOpacitySlider.tsx
 delete mode 100644 invokeai/frontend/web/src/features/nodes/components/NodeWrapper.tsx
 delete mode 100644 invokeai/frontend/web/src/features/nodes/components/ProgressImageNode.tsx
 rename invokeai/frontend/web/src/features/nodes/components/{panels/BottomLeftPanel.tsx.tsx => editorPanels/BottomLeftPanel.tsx} (55%)
 rename invokeai/frontend/web/src/features/nodes/components/{panels => editorPanels}/MinimapPanel.tsx (91%)
 rename invokeai/frontend/web/src/features/nodes/components/{panels => editorPanels}/TopCenterPanel.tsx (79%)
 rename invokeai/frontend/web/src/features/nodes/components/{panels => editorPanels}/TopLeftPanel.tsx (100%)
 rename invokeai/frontend/web/src/features/nodes/components/{panels => editorPanels}/TopRightPanel.tsx (55%)
 delete mode 100644 invokeai/frontend/web/src/features/nodes/components/fields/ArrayInputFieldComponent.tsx
 delete mode 100644 invokeai/frontend/web/src/features/nodes/components/fields/EnumInputFieldComponent.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/fields/FieldContextMenu.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/fields/FieldHandle.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/fields/FieldTitle.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/fields/FieldTooltipContent.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/fields/InputField.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/fields/InputFieldRenderer.tsx
 delete mode 100644 invokeai/frontend/web/src/features/nodes/components/fields/ItemInputFieldComponent.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/fields/LinearViewField.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/fields/OutputField.tsx
 delete mode 100644 invokeai/frontend/web/src/features/nodes/components/fields/StringInputFieldComponent.tsx
 rename invokeai/frontend/web/src/features/nodes/components/fields/{BooleanInputFieldComponent.tsx => fieldTypes/BooleanInputField.tsx} (53%)
 rename invokeai/frontend/web/src/features/nodes/components/fields/{ClipInputFieldComponent.tsx => fieldTypes/ClipInputField.tsx} (100%)
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/CollectionInputField.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/CollectionItemInputField.tsx
 rename invokeai/frontend/web/src/features/nodes/components/fields/{ColorInputFieldComponent.tsx => fieldTypes/ColorInputField.tsx} (57%)
 rename invokeai/frontend/web/src/features/nodes/components/fields/{ConditioningInputFieldComponent.tsx => fieldTypes/ConditioningInputField.tsx} (100%)
 rename invokeai/frontend/web/src/features/nodes/components/fields/{ControlInputFieldComponent.tsx => fieldTypes/ControlInputField.tsx} (100%)
 rename invokeai/frontend/web/src/features/nodes/components/fields/{ControlNetModelInputFieldComponent.tsx => fieldTypes/ControlNetModelInputField.tsx} (91%)
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/EnumInputField.tsx
 rename invokeai/frontend/web/src/features/nodes/components/fields/{ImageCollectionInputFieldComponent.tsx => fieldTypes/ImageCollectionInputField.tsx} (86%)
 rename invokeai/frontend/web/src/features/nodes/components/fields/{ImageInputFieldComponent.tsx => fieldTypes/ImageInputField.tsx} (88%)
 rename invokeai/frontend/web/src/features/nodes/components/fields/{LatentsInputFieldComponent.tsx => fieldTypes/LatentsInputField.tsx} (100%)
 rename invokeai/frontend/web/src/features/nodes/components/fields/{LoRAModelInputFieldComponent.tsx => fieldTypes/LoRAModelInputField.tsx} (92%)
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/MainModelInputField.tsx
 rename invokeai/frontend/web/src/features/nodes/components/fields/{NumberInputFieldComponent.tsx => fieldTypes/NumberInputField.tsx} (67%)
 rename invokeai/frontend/web/src/features/nodes/components/fields/{RefinerModelInputFieldComponent.tsx => fieldTypes/RefinerModelInputField.tsx} (89%)
 rename invokeai/frontend/web/src/features/nodes/components/fields/{ModelInputFieldComponent.tsx => fieldTypes/SDXLMainModelInputField.tsx} (78%)
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/StringInputField.tsx
 rename invokeai/frontend/web/src/features/nodes/components/fields/{UnetInputFieldComponent.tsx => fieldTypes/UnetInputField.tsx} (100%)
 rename invokeai/frontend/web/src/features/nodes/components/fields/{VaeInputFieldComponent.tsx => fieldTypes/VaeInputField.tsx} (100%)
 rename invokeai/frontend/web/src/features/nodes/components/fields/{VaeModelInputFieldComponent.tsx => fieldTypes/VaeModelInputField.tsx} (93%)
 rename invokeai/frontend/web/src/features/nodes/components/fields/{ => fieldTypes}/types.ts (60%)
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/nodes/CurrentImageNode.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNode.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/nodes/NotesNode.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/panel/InspectorPanel.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/panel/NodeDataInspector.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/panel/NodeEditorPanelGroup.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/panel/ScrollableContent.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/panel/WorkflowPanel.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/panel/workflow/GeneralTab.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/panel/workflow/LinearTab.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/panel/workflow/NotesTab.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/panel/workflow/WorkflowTab.tsx
 delete mode 100644 invokeai/frontend/web/src/features/nodes/components/ui/LoadGraphButton.tsx
 delete mode 100644 invokeai/frontend/web/src/features/nodes/components/ui/SaveGraphButton.tsx
 rename invokeai/frontend/web/src/features/nodes/hooks/{useBuildInvocation.ts => useBuildNodeData.ts} (69%)
 create mode 100644 invokeai/frontend/web/src/features/nodes/hooks/useConnectionState.ts
 create mode 100644 invokeai/frontend/web/src/features/nodes/store/selectors.ts
 create mode 100644 invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts
 create mode 100644 invokeai/frontend/web/src/features/nodes/util/buildWorkflow.ts
 create mode 100644 invokeai/frontend/web/src/theme/custom/reactflow.ts

diff --git a/invokeai/app/api_app.py b/invokeai/app/api_app.py
index 6b875d37ce..20b2781ef0 100644
--- a/invokeai/app/api_app.py
+++ b/invokeai/app/api_app.py
@@ -38,7 +38,7 @@ import mimetypes
 from .api.dependencies import ApiDependencies
 from .api.routers import sessions, models, images, boards, board_images, app_info
 from .api.sockets import SocketIO
-from .invocations.baseinvocation import BaseInvocation
+from .invocations.baseinvocation import BaseInvocation, _InputField, _OutputField, UIConfigBase
 
 
 import torch
@@ -134,6 +134,11 @@ def custom_openapi():
         # This could break in some cases, figure out a better way to do it
         output_type_titles[schema_key] = output_schema["title"]
 
+    # Add Node Editor UI helper schemas
+    ui_config_schemas = schema([UIConfigBase, _InputField, _OutputField], ref_prefix="#/components/schemas/")
+    for schema_key, output_schema in ui_config_schemas["definitions"].items():
+        openapi_schema["components"]["schemas"][schema_key] = output_schema
+
     # Add a reference to the output type to additionalProperties of the invoker schema
     for invoker in all_invocations:
         invoker_name = invoker.__name__
diff --git a/invokeai/app/invocations/baseinvocation.py b/invokeai/app/invocations/baseinvocation.py
index 758ab2e787..65aeef75d8 100644
--- a/invokeai/app/invocations/baseinvocation.py
+++ b/invokeai/app/invocations/baseinvocation.py
@@ -3,15 +3,353 @@
 from __future__ import annotations
 
 from abc import ABC, abstractmethod
+from enum import Enum
 from inspect import signature
-from typing import TYPE_CHECKING, Dict, List, Literal, TypedDict, get_args, get_type_hints
+from typing import (
+    TYPE_CHECKING,
+    AbstractSet,
+    Any,
+    Callable,
+    ClassVar,
+    Mapping,
+    Optional,
+    Type,
+    TypeVar,
+    Union,
+    get_args,
+    get_type_hints,
+)
 
-from pydantic import BaseConfig, BaseModel, Field
+from pydantic import BaseModel, Field
+from pydantic.fields import Undefined
+from pydantic.typing import NoArgAnyCallable
 
 if TYPE_CHECKING:
     from ..services.invocation_services import InvocationServices
 
 
+class FieldDescriptions:
+    denoising_start = "When to start denoising, expressed a percentage of total steps"
+    denoising_end = "When to stop denoising, expressed a percentage of total steps"
+    cfg_scale = "Classifier-Free Guidance scale"
+    scheduler = "Scheduler to use during inference"
+    positive_cond = "Positive conditioning tensor"
+    negative_cond = "Negative conditioning tensor"
+    noise = "Noise tensor"
+    clip = "CLIP (tokenizer, text encoder, LoRAs) and skipped layer count"
+    unet = "UNet (scheduler, LoRAs)"
+    vae = "VAE"
+    cond = "Conditioning tensor"
+    controlnet_model = "ControlNet model to load"
+    vae_model = "VAE model to load"
+    lora_model = "LoRA model to load"
+    main_model = "Main model (UNet, VAE, CLIP) to load"
+    sdxl_main_model = "SDXL Main model (UNet, VAE, CLIP1, CLIP2) to load"
+    sdxl_refiner_model = "SDXL Refiner Main Modde (UNet, VAE, CLIP2) to load"
+    onnx_main_model = "ONNX Main model (UNet, VAE, CLIP) to load"
+    lora_weight = "The weight at which the LoRA is applied to each model"
+    compel_prompt = "Prompt to be parsed by Compel to create a conditioning tensor"
+    raw_prompt = "Raw prompt text (no parsing)"
+    sdxl_aesthetic = "The aesthetic score to apply to the conditioning tensor"
+    skipped_layers = "Number of layers to skip in text encoder"
+    seed = "Seed for random number generation"
+    steps = "Number of steps to run"
+    width = "Width of output (px)"
+    height = "Height of output (px)"
+    control = "ControlNet(s) to apply"
+    denoised_latents = "Denoised latents tensor"
+    latents = "Latents tensor"
+    strength = "Strength of denoising (proportional to steps)"
+    core_metadata = "Optional core metadata to be written to image"
+    interp_mode = "Interpolation mode"
+    torch_antialias = "Whether or not to apply antialiasing (bilinear or bicubic only)"
+    fp32 = "Whether or not to use full float32 precision"
+    precision = "Precision to use"
+    tiled = "Processing using overlapping tiles (reduce memory consumption)"
+    detect_res = "Pixel resolution for detection"
+    image_res = "Pixel resolution for output image"
+    safe_mode = "Whether or not to use safe mode"
+    scribble_mode = "Whether or not to use scribble mode"
+    scale_factor = "The factor by which to scale"
+    num_1 = "The first number"
+    num_2 = "The second number"
+    mask = "The mask to use for the operation"
+
+
+class Input(str, Enum):
+    """
+    The type of input a field accepts.
+    - `Input.Direct`: The field must have its value provided directly, when the invocation and field \
+      are instantiated.
+    - `Input.Connection`: The field must have its value provided by a connection.
+    - `Input.Any`: The field may have its value provided either directly or by a connection.
+    """
+
+    Connection = "connection"
+    Direct = "direct"
+    Any = "any"
+
+
+class UITypeHint(str, Enum):
+    """
+    Type hints for the UI.
+    If a field should be provided a data type that does not exactly match the python type of the field, \
+    use this to provide the type that should be used instead. See the node development docs for detail \
+    on adding a new field type, which involves client-side changes.
+    """
+
+    Integer = "integer"
+    Float = "float"
+    Boolean = "boolean"
+    String = "string"
+    Enum = "enum"
+    Array = "array"
+    ImageField = "ImageField"
+    LatentsField = "LatentsField"
+    ConditioningField = "ConditioningField"
+    ControlField = "ControlField"
+    MainModelField = "MainModelField"
+    SDXLMainModelField = "SDXLMainModelField"
+    SDXLRefinerModelField = "SDXLRefinerModelField"
+    ONNXModelField = "ONNXModelField"
+    VaeModelField = "VaeModelField"
+    LoRAModelField = "LoRAModelField"
+    ControlNetModelField = "ControlNetModelField"
+    UNetField = "UNetField"
+    VaeField = "VaeField"
+    ClipField = "ClipField"
+    ColorField = "ColorField"
+    ImageCollection = "ImageCollection"
+    IntegerCollection = "IntegerCollection"
+    FloatCollection = "FloatCollection"
+    StringCollection = "StringCollection"
+    BooleanCollection = "BooleanCollection"
+    Collection = "Collection"
+    CollectionItem = "CollectionItem"
+    Seed = "Seed"
+    FilePath = "FilePath"
+
+
+class UIComponent(str, Enum):
+    """
+    The type of UI component to use for a field, used to override the default components, which are \
+    inferred from the field type.
+    """
+
+    None_ = "none"
+    Textarea = "textarea"
+    Slider = "slider"
+
+
+class _InputField(BaseModel):
+    """
+    *DO NOT USE*
+    This helper class is used to tell the client about our custom field attributes via OpenAPI
+    schema generation, and Typescript type generation from that schema. It serves no functional
+    purpose in the backend.
+    """
+
+    input: Input
+    ui_hidden: bool
+    ui_type_hint: Optional[UITypeHint]
+    ui_component: Optional[UIComponent]
+
+
+class _OutputField(BaseModel):
+    """
+    *DO NOT USE*
+    This helper class is used to tell the client about our custom field attributes via OpenAPI
+    schema generation, and Typescript type generation from that schema. It serves no functional
+    purpose in the backend.
+    """
+
+    ui_hidden: bool
+    ui_type_hint: Optional[UITypeHint]
+
+
+def InputField(
+    *args: Any,
+    default: Any = Undefined,
+    default_factory: Optional[NoArgAnyCallable] = None,
+    alias: Optional[str] = None,
+    title: Optional[str] = None,
+    description: Optional[str] = None,
+    exclude: Optional[Union[AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any]] = None,
+    include: Optional[Union[AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any]] = None,
+    const: Optional[bool] = None,
+    gt: Optional[float] = None,
+    ge: Optional[float] = None,
+    lt: Optional[float] = None,
+    le: Optional[float] = None,
+    multiple_of: Optional[float] = None,
+    allow_inf_nan: Optional[bool] = None,
+    max_digits: Optional[int] = None,
+    decimal_places: Optional[int] = None,
+    min_items: Optional[int] = None,
+    max_items: Optional[int] = None,
+    unique_items: Optional[bool] = None,
+    min_length: Optional[int] = None,
+    max_length: Optional[int] = None,
+    allow_mutation: bool = True,
+    regex: Optional[str] = None,
+    discriminator: Optional[str] = None,
+    repr: bool = True,
+    input: Input = Input.Any,
+    ui_type_hint: Optional[UITypeHint] = None,
+    ui_component: Optional[UIComponent] = None,
+    ui_hidden: bool = False,
+    **kwargs: Any,
+) -> Any:
+    """
+    Creates an input field for an invocation.
+
+    This is a wrapper for Pydantic's [Field](https://docs.pydantic.dev/1.10/usage/schema/#field-customization) \
+    that adds a few extra parameters to support graph execution and the node editor UI.
+
+    :param Input input: [Input.Any] The kind of input this field requires. \
+      `Input.Direct` means a value must be provided on instantiation. \
+      `Input.Connection` means the value must be provided by a connection. \
+      `Input.Any` means either will do.
+
+    :param UITypeHint ui_type_hint: [None] Optionally provides an extra type hint for the UI. \
+      In some situations, the field's type is not enough to infer the correct UI type. \
+      For example, model selection fields should render a dropdown UI component to select a model. \
+      Internally, there is no difference between SD-1, SD-2 and SDXL model fields, they all use \
+      `MainModelField`. So to ensure the base-model-specific UI is rendered, you can use \
+      `UITypeHint.SDXLMainModelField` to indicate that the field is an SDXL main model field.
+      
+    :param UIComponent ui_component: [None] Optionally specifies a specific component to use in the UI. \
+      The UI will always render a suitable component, but sometimes you want something different than the default. \
+      For example, a `string` field will default to a single-line input, but you may want a multi-line textarea instead. \
+      For this case, you could provide `UIComponent.Textarea`.
+
+    : param bool ui_hidden: [False] Specifies whether or not this field should be hidden in the UI.
+    """
+    return Field(
+        *args,
+        default=default,
+        default_factory=default_factory,
+        alias=alias,
+        title=title,
+        description=description,
+        exclude=exclude,
+        include=include,
+        const=const,
+        gt=gt,
+        ge=ge,
+        lt=lt,
+        le=le,
+        multiple_of=multiple_of,
+        allow_inf_nan=allow_inf_nan,
+        max_digits=max_digits,
+        decimal_places=decimal_places,
+        min_items=min_items,
+        max_items=max_items,
+        unique_items=unique_items,
+        min_length=min_length,
+        max_length=max_length,
+        allow_mutation=allow_mutation,
+        regex=regex,
+        discriminator=discriminator,
+        repr=repr,
+        input=input,
+        ui_type_hint=ui_type_hint,
+        ui_component=ui_component,
+        ui_hidden=ui_hidden,
+        **kwargs,
+    )
+
+
+def OutputField(
+    *args: Any,
+    default: Any = Undefined,
+    default_factory: Optional[NoArgAnyCallable] = None,
+    alias: Optional[str] = None,
+    title: Optional[str] = None,
+    description: Optional[str] = None,
+    exclude: Optional[Union[AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any]] = None,
+    include: Optional[Union[AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any]] = None,
+    const: Optional[bool] = None,
+    gt: Optional[float] = None,
+    ge: Optional[float] = None,
+    lt: Optional[float] = None,
+    le: Optional[float] = None,
+    multiple_of: Optional[float] = None,
+    allow_inf_nan: Optional[bool] = None,
+    max_digits: Optional[int] = None,
+    decimal_places: Optional[int] = None,
+    min_items: Optional[int] = None,
+    max_items: Optional[int] = None,
+    unique_items: Optional[bool] = None,
+    min_length: Optional[int] = None,
+    max_length: Optional[int] = None,
+    allow_mutation: bool = True,
+    regex: Optional[str] = None,
+    discriminator: Optional[str] = None,
+    repr: bool = True,
+    ui_type_hint: Optional[UITypeHint] = None,
+    ui_hidden: bool = False,
+    **kwargs: Any,
+) -> Any:
+    """
+    Creates an output field for an invocation output.
+
+    This is a wrapper for Pydantic's [Field](https://docs.pydantic.dev/1.10/usage/schema/#field-customization) \
+    that adds a few extra parameters to support graph execution and the node editor UI.
+
+    :param UITypeHint ui_type_hint: [None] Optionally provides an extra type hint for the UI. \
+      In some situations, the field's type is not enough to infer the correct UI type. \
+      For example, model selection fields should render a dropdown UI component to select a model. \
+      Internally, there is no difference between SD-1, SD-2 and SDXL model fields, they all use \
+      `MainModelField`. So to ensure the base-model-specific UI is rendered, you can use \
+      `UITypeHint.SDXLMainModelField` to indicate that the field is an SDXL main model field.
+
+    : param bool ui_hidden: [False] Specifies whether or not this field should be hidden in the UI. \
+    """
+    return Field(
+        *args,
+        default=default,
+        default_factory=default_factory,
+        alias=alias,
+        title=title,
+        description=description,
+        exclude=exclude,
+        include=include,
+        const=const,
+        gt=gt,
+        ge=ge,
+        lt=lt,
+        le=le,
+        multiple_of=multiple_of,
+        allow_inf_nan=allow_inf_nan,
+        max_digits=max_digits,
+        decimal_places=decimal_places,
+        min_items=min_items,
+        max_items=max_items,
+        unique_items=unique_items,
+        min_length=min_length,
+        max_length=max_length,
+        allow_mutation=allow_mutation,
+        regex=regex,
+        discriminator=discriminator,
+        repr=repr,
+        ui_type_hint=ui_type_hint,
+        ui_hidden=ui_hidden,
+        **kwargs,
+    )
+
+
+class UIConfigBase(BaseModel):
+    """
+    Provides additional node configuration to the UI.
+    This is used internally by the @tags and @title decorator logic. You probably want to use those
+    decorators, though you may add this class to a node definition to specify the title and tags.
+    """
+
+    tags: Optional[list[str]] = Field(default_factory=None, description="The tags to display in the UI")
+    title: Optional[str] = Field(default=None, description="The display name of the node")
+
+
 class InvocationContext:
     services: InvocationServices
     graph_execution_state_id: str
@@ -39,6 +377,20 @@ class BaseInvocationOutput(BaseModel):
         return tuple(subclasses)
 
 
+class RequiredConnectionException(Exception):
+    """Raised when an field which requires a connection did not receive a value."""
+
+    def __init__(self, node_id: str, field_name: str):
+        super().__init__(f"Node {node_id} missing connections for field {field_name}")
+
+
+class MissingInputException(Exception):
+    """Raised when an field which requires some input, but did not receive a value."""
+
+    def __init__(self, node_id: str, field_name: str):
+        super().__init__(f"Node {node_id} missing value or connection for field {field_name}")
+
+
 class BaseInvocation(ABC, BaseModel):
     """A node to process inputs and produce outputs.
     May use dependency injection in __init__ to receive providers.
@@ -76,70 +428,81 @@ class BaseInvocation(ABC, BaseModel):
     def get_output_type(cls):
         return signature(cls.invoke).return_annotation
 
+    class Config:
+        @staticmethod
+        def schema_extra(schema: dict[str, Any], model_class: Type[BaseModel]) -> None:
+            uiconfig = getattr(model_class, "UIConfig", None)
+            if uiconfig and hasattr(uiconfig, "title"):
+                schema["title"] = uiconfig.title
+            if uiconfig and hasattr(uiconfig, "tags"):
+                schema["tags"] = uiconfig.tags
+
     @abstractmethod
     def invoke(self, context: InvocationContext) -> BaseInvocationOutput:
         """Invoke with provided context and return outputs."""
         pass
 
-    # fmt: off
-    id: str = Field(description="The id of this node. Must be unique among all nodes.")
-    is_intermediate: bool = Field(default=False, description="Whether or not this node is an intermediate node.")
-    # fmt: on
+    def __init__(self, **data):
+        # nodes may have required fields, that can accept input from connections
+        # on instantiation of the model, we need to exclude these from validation
+        restore = dict()
+        try:
+            field_names = list(self.__fields__.keys())
+            for field_name in field_names:
+                # if the field is required and may get its value from a connection, exclude it from validation
+                field = self.__fields__[field_name]
+                _input = field.field_info.extra.get("input", None)
+                if _input in [Input.Connection, Input.Any] and field.required:
+                    if field_name not in data:
+                        restore[field_name] = self.__fields__.pop(field_name)
+            # instantiate the node, which will validate the data
+            super().__init__(**data)
+        finally:
+            # restore the removed fields
+            for field_name, field in restore.items():
+                self.__fields__[field_name] = field
+
+    def invoke_internal(self, context: InvocationContext) -> BaseInvocationOutput:
+        for field_name, field in self.__fields__.items():
+            _input = field.field_info.extra.get("input", None)
+            if field.required and not hasattr(self, field_name):
+                if _input == Input.Connection:
+                    raise RequiredConnectionException(self.__fields__["type"].default, field_name)
+                elif _input == Input.Any:
+                    raise MissingInputException(self.__fields__["type"].default, field_name)
+        return self.invoke(context)
+
+    id: str = InputField(description="The id of this node. Must be unique among all nodes.")
+    is_intermediate: bool = InputField(
+        default=False, description="Whether or not this node is an intermediate node.", input=Input.Direct
+    )
+    UIConfig: ClassVar[Type[UIConfigBase]]
 
 
-# TODO: figure out a better way to provide these hints
-# TODO: when we can upgrade to python 3.11, we can use the`NotRequired` type instead of `total=False`
-class UIConfig(TypedDict, total=False):
-    type_hints: Dict[
-        str,
-        Literal[
-            "integer",
-            "float",
-            "boolean",
-            "string",
-            "enum",
-            "image",
-            "latents",
-            "model",
-            "control",
-            "image_collection",
-            "vae_model",
-            "lora_model",
-        ],
-    ]
-    tags: List[str]
-    title: str
+T = TypeVar("T", bound=BaseInvocation)
 
 
-class CustomisedSchemaExtra(TypedDict):
-    ui: UIConfig
+def title(title: str) -> Callable[[Type[T]], Type[T]]:
+    """Adds a title to the invocation. Use this to override the default title generation, which is based on the class name."""
+
+    def wrapper(cls: Type[T]) -> Type[T]:
+        uiconf_name = cls.__qualname__ + ".UIConfig"
+        if not hasattr(cls, "UIConfig") or cls.UIConfig.__qualname__ != uiconf_name:
+            cls.UIConfig = type(uiconf_name, (UIConfigBase,), dict())
+        cls.UIConfig.title = title
+        return cls
+
+    return wrapper
 
 
-class InvocationConfig(BaseConfig):
-    """Customizes pydantic's BaseModel.Config class for use by Invocations.
+def tags(*tags: str) -> Callable[[Type[T]], Type[T]]:
+    """Adds tags to the invocation. Use this to improve the streamline finding the invocation in the UI."""
 
-    Provide `schema_extra` a `ui` dict to add hints for generated UIs.
+    def wrapper(cls: Type[T]) -> Type[T]:
+        uiconf_name = cls.__qualname__ + ".UIConfig"
+        if not hasattr(cls, "UIConfig") or cls.UIConfig.__qualname__ != uiconf_name:
+            cls.UIConfig = type(uiconf_name, (UIConfigBase,), dict())
+        cls.UIConfig.tags = list(tags)
+        return cls
 
-    `tags`
-    - A list of strings, used to categorise invocations.
-
-    `type_hints`
-    - A dict of field types which override the types in the invocation definition.
-    - Each key should be the name of one of the invocation's fields.
-    - Each value should be one of the valid types:
-      - `integer`, `float`, `boolean`, `string`, `enum`, `image`, `latents`, `model`
-
-    ```python
-    class Config(InvocationConfig):
-      schema_extra = {
-          "ui": {
-              "tags": ["stable-diffusion", "image"],
-              "type_hints": {
-                  "initial_image": "image",
-              },
-          },
-      }
-    ```
-    """
-
-    schema_extra: CustomisedSchemaExtra
+    return wrapper
diff --git a/invokeai/app/invocations/collections.py b/invokeai/app/invocations/collections.py
index 01c003da96..0dd3b757dc 100644
--- a/invokeai/app/invocations/collections.py
+++ b/invokeai/app/invocations/collections.py
@@ -3,58 +3,78 @@
 from typing import Literal
 
 import numpy as np
-from pydantic import Field, validator
+from pydantic import validator
 
 from invokeai.app.models.image import ImageField
 from invokeai.app.util.misc import SEED_MAX, get_random_seed
 
-from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext, UIConfig
+from .baseinvocation import (
+    BaseInvocation,
+    BaseInvocationOutput,
+    InputField,
+    InvocationContext,
+    OutputField,
+    UITypeHint,
+    tags,
+    title,
+)
 
 
 class IntCollectionOutput(BaseInvocationOutput):
     """A collection of integers"""
 
-    type: Literal["int_collection"] = "int_collection"
+    type: Literal["int_collection_output"] = "int_collection_output"
 
     # Outputs
-    collection: list[int] = Field(default=[], description="The int collection")
+    collection: list[int] = OutputField(
+        default=[], description="The int collection", ui_type_hint=UITypeHint.IntegerCollection
+    )
 
 
 class FloatCollectionOutput(BaseInvocationOutput):
     """A collection of floats"""
 
-    type: Literal["float_collection"] = "float_collection"
+    type: Literal["float_collection_output"] = "float_collection_output"
 
     # Outputs
-    collection: list[float] = Field(default=[], description="The float collection")
+    collection: list[float] = OutputField(
+        default=[], description="The float collection", ui_type_hint=UITypeHint.FloatCollection
+    )
+
+
+class StringCollectionOutput(BaseInvocationOutput):
+    """A collection of strings"""
+
+    type: Literal["string_collection_output"] = "string_collection_output"
+
+    # Outputs
+    collection: list[str] = OutputField(
+        default=[], description="The output strings", ui_type_hint=UITypeHint.StringCollection
+    )
 
 
 class ImageCollectionOutput(BaseInvocationOutput):
     """A collection of images"""
 
-    type: Literal["image_collection"] = "image_collection"
+    type: Literal["image_collection_output"] = "image_collection_output"
 
     # Outputs
-    collection: list[ImageField] = Field(default=[], description="The output images")
-
-    class Config:
-        schema_extra = {"required": ["type", "collection"]}
+    collection: list[ImageField] = OutputField(
+        default=[], description="The output images", ui_type_hint=UITypeHint.ImageCollection
+    )
 
 
+@title("Integer Range")
+@tags("collection", "integer", "range")
 class RangeInvocation(BaseInvocation):
     """Creates a range of numbers from start to stop with step"""
 
     type: Literal["range"] = "range"
 
     # Inputs
-    start: int = Field(default=0, description="The start of the range")
-    stop: int = Field(default=10, description="The stop of the range")
-    step: int = Field(default=1, description="The step of the range")
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Range", "tags": ["range", "integer", "collection"]},
-        }
+    start: int = InputField(default=0, description="The start of the range")
+    stop: int = InputField(default=10, description="The stop of the range")
+    step: int = InputField(default=1, description="The step of the range")
 
     @validator("stop")
     def stop_gt_start(cls, v, values):
@@ -66,72 +86,56 @@ class RangeInvocation(BaseInvocation):
         return IntCollectionOutput(collection=list(range(self.start, self.stop, self.step)))
 
 
+@title("Integer Range of Size")
+@tags("range", "integer", "size", "collection")
 class RangeOfSizeInvocation(BaseInvocation):
     """Creates a range from start to start + size with step"""
 
     type: Literal["range_of_size"] = "range_of_size"
 
     # Inputs
-    start: int = Field(default=0, description="The start of the range")
-    size: int = Field(default=1, description="The number of values")
-    step: int = Field(default=1, description="The step of the range")
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Sized Range", "tags": ["range", "integer", "size", "collection"]},
-        }
+    start: int = InputField(default=0, description="The start of the range")
+    size: int = InputField(default=1, description="The number of values")
+    step: int = InputField(default=1, description="The step of the range")
 
     def invoke(self, context: InvocationContext) -> IntCollectionOutput:
         return IntCollectionOutput(collection=list(range(self.start, self.start + self.size, self.step)))
 
 
+@title("Random Range")
+@tags("range", "integer", "random", "collection")
 class RandomRangeInvocation(BaseInvocation):
     """Creates a collection of random numbers"""
 
     type: Literal["random_range"] = "random_range"
 
     # Inputs
-    low: int = Field(default=0, description="The inclusive low value")
-    high: int = Field(default=np.iinfo(np.int32).max, description="The exclusive high value")
-    size: int = Field(default=1, description="The number of values to generate")
-    seed: int = Field(
+    low: int = InputField(default=0, description="The inclusive low value")
+    high: int = InputField(default=np.iinfo(np.int32).max, description="The exclusive high value")
+    size: int = InputField(default=1, description="The number of values to generate")
+    seed: int = InputField(
         ge=0,
         le=SEED_MAX,
         description="The seed for the RNG (omit for random)",
         default_factory=get_random_seed,
     )
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Random Range", "tags": ["range", "integer", "random", "collection"]},
-        }
-
     def invoke(self, context: InvocationContext) -> IntCollectionOutput:
         rng = np.random.default_rng(self.seed)
         return IntCollectionOutput(collection=list(rng.integers(low=self.low, high=self.high, size=self.size)))
 
 
+@title("Image Collection")
+@tags("image", "collection")
 class ImageCollectionInvocation(BaseInvocation):
     """Load a collection of images and provide it as output."""
 
-    # fmt: off
     type: Literal["image_collection"] = "image_collection"
 
     # Inputs
-    images: list[ImageField] = Field(
-        default=[], description="The image collection to load"
+    images: list[ImageField] = InputField(
+        default=[], description="The image collection to load", ui_type_hint=UITypeHint.ImageCollection
     )
-    # fmt: on
 
     def invoke(self, context: InvocationContext) -> ImageCollectionOutput:
         return ImageCollectionOutput(collection=self.images)
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "type_hints": {
-                    "title": "Image Collection",
-                    "images": "image_collection",
-                }
-            },
-        }
diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index 86565366d9..0f7c61a6dd 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -1,29 +1,39 @@
-from typing import Literal, Optional, Union, List, Annotated
-from pydantic import BaseModel, Field
 import re
-
-from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationContext, InvocationConfig
-from .model import ClipField
-
-from ...backend.util.devices import torch_dtype
-from ...backend.stable_diffusion.diffusion import InvokeAIDiffuserComponent
-from ...backend.model_management import BaseModelType, ModelType, SubModelType, ModelPatcher
+from dataclasses import dataclass
+from typing import List, Literal, Union
 
 import torch
 from compel import Compel, ReturnedEmbeddingsType
 from compel.prompt_parser import Blend, Conjunction, CrossAttentionControlSubstitute, FlattenedPrompt, Fragment
-from ...backend.util.devices import torch_dtype
-from ...backend.model_management import ModelType
-from ...backend.model_management.models import ModelNotFoundException
+from pydantic import BaseModel, Field
+
+from invokeai.backend.stable_diffusion.diffusion.shared_invokeai_diffusion import (
+    BasicConditioningInfo,
+    SDXLConditioningInfo,
+)
+
+from ...backend.model_management import ModelPatcher, ModelType
 from ...backend.model_management.lora import ModelPatcher
-from ...backend.stable_diffusion import InvokeAIDiffuserComponent, BasicConditioningInfo, SDXLConditioningInfo
-from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext
+from ...backend.model_management.models import ModelNotFoundException
+from ...backend.stable_diffusion.diffusion import InvokeAIDiffuserComponent
+from ...backend.util.devices import torch_dtype
+from .baseinvocation import (
+    BaseInvocation,
+    BaseInvocationOutput,
+    FieldDescriptions,
+    Input,
+    InputField,
+    InvocationContext,
+    OutputField,
+    UIComponent,
+    tags,
+    title,
+)
 from .model import ClipField
-from dataclasses import dataclass
 
 
 class ConditioningField(BaseModel):
-    conditioning_name: Optional[str] = Field(default=None, description="The name of conditioning data")
+    conditioning_name: str = Field(description="The name of conditioning data")
 
     class Config:
         schema_extra = {"required": ["conditioning_name"]}
@@ -47,23 +57,27 @@ class CompelOutput(BaseInvocationOutput):
     # fmt: off
     type: Literal["compel_output"] = "compel_output"
 
-    conditioning: ConditioningField = Field(default=None, description="Conditioning")
+    conditioning: ConditioningField = OutputField(description=FieldDescriptions.cond)
     # fmt: on
 
 
+@title("Compel Prompt")
+@tags("prompt", "compel")
 class CompelInvocation(BaseInvocation):
     """Parse prompt using compel package to conditioning."""
 
     type: Literal["compel"] = "compel"
 
-    prompt: str = Field(default="", description="Prompt")
-    clip: ClipField = Field(None, description="Clip to use")
-
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Prompt (Compel)", "tags": ["prompt", "compel"], "type_hints": {"model": "model"}},
-        }
+    prompt: str = InputField(
+        default="",
+        description=FieldDescriptions.compel_prompt,
+        ui_component=UIComponent.Textarea,
+    )
+    clip: ClipField = InputField(
+        title="CLIP",
+        description=FieldDescriptions.clip,
+        input=Input.Connection,
+    )
 
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> CompelOutput:
@@ -270,27 +284,23 @@ class SDXLPromptInvocationBase:
         return c, c_pooled, ec
 
 
+@title("SDXL Compel Prompt")
+@tags("sdxl", "compel", "prompt")
 class SDXLCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
     """Parse prompt using compel package to conditioning."""
 
     type: Literal["sdxl_compel_prompt"] = "sdxl_compel_prompt"
 
-    prompt: str = Field(default="", description="Prompt")
-    style: str = Field(default="", description="Style prompt")
-    original_width: int = Field(1024, description="")
-    original_height: int = Field(1024, description="")
-    crop_top: int = Field(0, description="")
-    crop_left: int = Field(0, description="")
-    target_width: int = Field(1024, description="")
-    target_height: int = Field(1024, description="")
-    clip: ClipField = Field(None, description="Clip to use")
-    clip2: ClipField = Field(None, description="Clip2 to use")
-
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "SDXL Prompt (Compel)", "tags": ["prompt", "compel"], "type_hints": {"model": "model"}},
-        }
+    prompt: str = InputField(default="", description=FieldDescriptions.compel_prompt, ui_component=UIComponent.Textarea)
+    style: str = InputField(default="", description=FieldDescriptions.compel_prompt, ui_component=UIComponent.Textarea)
+    original_width: int = InputField(default=1024, description="")
+    original_height: int = InputField(default=1024, description="")
+    crop_top: int = InputField(default=0, description="")
+    crop_left: int = InputField(default=0, description="")
+    target_width: int = InputField(default=1024, description="")
+    target_height: int = InputField(default=1024, description="")
+    clip: ClipField = InputField(description=FieldDescriptions.clip, input=Input.Connection)
+    clip2: ClipField = InputField(description=FieldDescriptions.clip, input=Input.Connection)
 
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> CompelOutput:
@@ -333,28 +343,22 @@ class SDXLCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
         )
 
 
+@title("SDXL Refiner Compel Prompt")
+@tags("sdxl", "compel", "prompt")
 class SDXLRefinerCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
     """Parse prompt using compel package to conditioning."""
 
     type: Literal["sdxl_refiner_compel_prompt"] = "sdxl_refiner_compel_prompt"
 
-    style: str = Field(default="", description="Style prompt")  # TODO: ?
-    original_width: int = Field(1024, description="")
-    original_height: int = Field(1024, description="")
-    crop_top: int = Field(0, description="")
-    crop_left: int = Field(0, description="")
-    aesthetic_score: float = Field(6.0, description="")
-    clip2: ClipField = Field(None, description="Clip to use")
-
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "SDXL Refiner Prompt (Compel)",
-                "tags": ["prompt", "compel"],
-                "type_hints": {"model": "model"},
-            },
-        }
+    style: str = InputField(
+        default="", description=FieldDescriptions.compel_prompt, ui_component=UIComponent.Textarea
+    )  # TODO: ?
+    original_width: int = InputField(default=1024, description="")
+    original_height: int = InputField(default=1024, description="")
+    crop_top: int = InputField(default=0, description="")
+    crop_left: int = InputField(default=0, description="")
+    aesthetic_score: float = InputField(default=6.0, description=FieldDescriptions.sdxl_aesthetic)
+    clip2: ClipField = InputField(description=FieldDescriptions.clip, input=Input.Connection)
 
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> CompelOutput:
@@ -391,21 +395,18 @@ class ClipSkipInvocationOutput(BaseInvocationOutput):
     """Clip skip node output"""
 
     type: Literal["clip_skip_output"] = "clip_skip_output"
-    clip: ClipField = Field(None, description="Clip with skipped layers")
+    clip: ClipField = OutputField(default=None, description=FieldDescriptions.clip, title="CLIP")
 
 
+@title("CLIP Skip")
+@tags("clipskip", "clip", "skip")
 class ClipSkipInvocation(BaseInvocation):
     """Skip layers in clip text_encoder model."""
 
     type: Literal["clip_skip"] = "clip_skip"
 
-    clip: ClipField = Field(None, description="Clip to use")
-    skipped_layers: int = Field(0, description="Number of layers to skip in text_encoder")
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "CLIP Skip", "tags": ["clip", "skip"]},
-        }
+    clip: ClipField = InputField(description=FieldDescriptions.clip, input=Input.Connection, title="CLIP")
+    skipped_layers: int = InputField(default=0, description=FieldDescriptions.skipped_layers)
 
     def invoke(self, context: InvocationContext) -> ClipSkipInvocationOutput:
         self.clip.skipped_layers += self.skipped_layers
diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py
index d2b2d44526..de8ad00026 100644
--- a/invokeai/app/invocations/controlnet_image_processors.py
+++ b/invokeai/app/invocations/controlnet_image_processors.py
@@ -28,77 +28,27 @@ from pydantic import BaseModel, Field, validator
 
 from ...backend.model_management import BaseModelType, ModelType
 from ..models.image import ImageCategory, ImageField, ResourceOrigin
-from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext
-from ..models.image import ImageOutput, PILInvocationConfig
+from .baseinvocation import (
+    BaseInvocation,
+    BaseInvocationOutput,
+    FieldDescriptions,
+    InputField,
+    Input,
+    InvocationContext,
+    OutputField,
+    UITypeHint,
+    tags,
+    title,
+)
+from ..models.image import ImageOutput
 
-CONTROLNET_DEFAULT_MODELS = [
-    ###########################################
-    # lllyasviel sd v1.5, ControlNet v1.0 models
-    ##############################################
-    "lllyasviel/sd-controlnet-canny",
-    "lllyasviel/sd-controlnet-depth",
-    "lllyasviel/sd-controlnet-hed",
-    "lllyasviel/sd-controlnet-seg",
-    "lllyasviel/sd-controlnet-openpose",
-    "lllyasviel/sd-controlnet-scribble",
-    "lllyasviel/sd-controlnet-normal",
-    "lllyasviel/sd-controlnet-mlsd",
-    #############################################
-    # lllyasviel sd v1.5, ControlNet v1.1 models
-    #############################################
-    "lllyasviel/control_v11p_sd15_canny",
-    "lllyasviel/control_v11p_sd15_openpose",
-    "lllyasviel/control_v11p_sd15_seg",
-    # "lllyasviel/control_v11p_sd15_depth",  # broken
-    "lllyasviel/control_v11f1p_sd15_depth",
-    "lllyasviel/control_v11p_sd15_normalbae",
-    "lllyasviel/control_v11p_sd15_scribble",
-    "lllyasviel/control_v11p_sd15_mlsd",
-    "lllyasviel/control_v11p_sd15_softedge",
-    "lllyasviel/control_v11p_sd15s2_lineart_anime",
-    "lllyasviel/control_v11p_sd15_lineart",
-    "lllyasviel/control_v11p_sd15_inpaint",
-    # "lllyasviel/control_v11u_sd15_tile",
-    # problem (temporary?) with huffingface "lllyasviel/control_v11u_sd15_tile",
-    # so for now replace  "lllyasviel/control_v11f1e_sd15_tile",
-    "lllyasviel/control_v11e_sd15_shuffle",
-    "lllyasviel/control_v11e_sd15_ip2p",
-    "lllyasviel/control_v11f1e_sd15_tile",
-    #################################################
-    #  thibaud sd v2.1 models (ControlNet v1.0? or v1.1?
-    ##################################################
-    "thibaud/controlnet-sd21-openpose-diffusers",
-    "thibaud/controlnet-sd21-canny-diffusers",
-    "thibaud/controlnet-sd21-depth-diffusers",
-    "thibaud/controlnet-sd21-scribble-diffusers",
-    "thibaud/controlnet-sd21-hed-diffusers",
-    "thibaud/controlnet-sd21-zoedepth-diffusers",
-    "thibaud/controlnet-sd21-color-diffusers",
-    "thibaud/controlnet-sd21-openposev2-diffusers",
-    "thibaud/controlnet-sd21-lineart-diffusers",
-    "thibaud/controlnet-sd21-normalbae-diffusers",
-    "thibaud/controlnet-sd21-ade20k-diffusers",
-    ##############################################
-    #  ControlNetMediaPipeface, ControlNet v1.1
-    ##############################################
-    # ["CrucibleAI/ControlNetMediaPipeFace", "diffusion_sd15"],  # SD 1.5
-    #    diffusion_sd15 needs to be passed to from_pretrained() as subfolder arg
-    #    hacked t2l to split to model & subfolder if format is "model,subfolder"
-    "CrucibleAI/ControlNetMediaPipeFace,diffusion_sd15",  # SD 1.5
-    "CrucibleAI/ControlNetMediaPipeFace",  # SD 2.1?
-]
 
-CONTROLNET_NAME_VALUES = Literal[tuple(CONTROLNET_DEFAULT_MODELS)]
-CONTROLNET_MODE_VALUES = Literal[tuple(["balanced", "more_prompt", "more_control", "unbalanced"])]
+CONTROLNET_MODE_VALUES = Literal["balanced", "more_prompt", "more_control", "unbalanced"]
 CONTROLNET_RESIZE_VALUES = Literal[
-    tuple(
-        [
-            "just_resize",
-            "crop_resize",
-            "fill_resize",
-            "just_resize_simple",
-        ]
-    )
+    "just_resize",
+    "crop_resize",
+    "fill_resize",
+    "just_resize_simple",
 ]
 
 
@@ -110,9 +60,8 @@ class ControlNetModelField(BaseModel):
 
 
 class ControlField(BaseModel):
-    image: ImageField = Field(default=None, description="The control image")
-    control_model: Optional[ControlNetModelField] = Field(default=None, description="The ControlNet model to use")
-    # control_weight: Optional[float] = Field(default=1, description="weight given to controlnet")
+    image: ImageField = Field(description="The control image")
+    control_model: ControlNetModelField = Field(description="The ControlNet model to use")
     control_weight: Union[float, List[float]] = Field(default=1, description="The weight given to the ControlNet")
     begin_step_percent: float = Field(
         default=0, ge=0, le=1, description="When the ControlNet is first applied (% of total steps)"
@@ -135,60 +84,39 @@ class ControlField(BaseModel):
                 raise ValueError("Control weights must be within -1 to 2 range")
         return v
 
-    class Config:
-        schema_extra = {
-            "required": ["image", "control_model", "control_weight", "begin_step_percent", "end_step_percent"],
-            "ui": {
-                "type_hints": {
-                    "control_weight": "float",
-                    "control_model": "controlnet_model",
-                    # "control_weight": "number",
-                }
-            },
-        }
-
 
 class ControlOutput(BaseInvocationOutput):
     """node output for ControlNet info"""
 
-    # fmt: off
     type: Literal["control_output"] = "control_output"
-    control: ControlField = Field(default=None, description="The control info")
-    # fmt: on
+
+    # Outputs
+    control: ControlField = OutputField(description=FieldDescriptions.control)
 
 
+@title("ControlNet")
+@tags("controlnet")
 class ControlNetInvocation(BaseInvocation):
     """Collects ControlNet info to pass to other nodes"""
 
-    # fmt: off
     type: Literal["controlnet"] = "controlnet"
-    # Inputs
-    image: ImageField = Field(default=None, description="The control image")
-    control_model: ControlNetModelField = Field(default="lllyasviel/sd-controlnet-canny",
-                                                  description="control model used")
-    control_weight: Union[float, List[float]] = Field(default=1.0, description="The weight given to the ControlNet")
-    begin_step_percent: float = Field(default=0, ge=-1, le=2,
-                                      description="When the ControlNet is first applied (% of total steps)")
-    end_step_percent: float = Field(default=1, ge=0, le=1,
-                                    description="When the ControlNet is last applied (% of total steps)")
-    control_mode: CONTROLNET_MODE_VALUES = Field(default="balanced", description="The control mode used")
-    resize_mode: CONTROLNET_RESIZE_VALUES = Field(default="just_resize", description="The resize mode used")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "ControlNet",
-                "tags": ["controlnet", "latents"],
-                "type_hints": {
-                    "model": "model",
-                    "control": "control",
-                    # "cfg_scale": "float",
-                    "cfg_scale": "number",
-                    "control_weight": "float",
-                },
-            },
-        }
+    # Inputs
+    image: ImageField = InputField(description="The control image")
+    control_model: ControlNetModelField = InputField(
+        default="lllyasviel/sd-controlnet-canny", description=FieldDescriptions.controlnet_model, input=Input.Direct
+    )
+    control_weight: Union[float, List[float]] = InputField(
+        default=1.0, description="The weight given to the ControlNet", ui_type_hint=UITypeHint.Float
+    )
+    begin_step_percent: float = InputField(
+        default=0, ge=-1, le=2, description="When the ControlNet is first applied (% of total steps)"
+    )
+    end_step_percent: float = InputField(
+        default=1, ge=0, le=1, description="When the ControlNet is last applied (% of total steps)"
+    )
+    control_mode: CONTROLNET_MODE_VALUES = InputField(default="balanced", description="The control mode used")
+    resize_mode: CONTROLNET_RESIZE_VALUES = InputField(default="just_resize", description="The resize mode used")
 
     def invoke(self, context: InvocationContext) -> ControlOutput:
         return ControlOutput(
@@ -204,19 +132,13 @@ class ControlNetInvocation(BaseInvocation):
         )
 
 
-class ImageProcessorInvocation(BaseInvocation, PILInvocationConfig):
+class ImageProcessorInvocation(BaseInvocation):
     """Base class for invocations that preprocess images for ControlNet"""
 
-    # fmt: off
     type: Literal["image_processor"] = "image_processor"
-    # Inputs
-    image: ImageField = Field(default=None, description="The image to process")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Image Processor", "tags": ["image", "processor"]},
-        }
+    # Inputs
+    image: ImageField = InputField(description="The image to process")
 
     def run_processor(self, image):
         # superclass just passes through image without processing
@@ -255,20 +177,20 @@ class ImageProcessorInvocation(BaseInvocation, PILInvocationConfig):
         )
 
 
-class CannyImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig):
+@title("Canny Processor")
+@tags("controlnet", "canny")
+class CannyImageProcessorInvocation(ImageProcessorInvocation):
     """Canny edge detection for ControlNet"""
 
-    # fmt: off
     type: Literal["canny_image_processor"] = "canny_image_processor"
-    # Input
-    low_threshold: int = Field(default=100, ge=0, le=255, description="The low threshold of the Canny pixel gradient (0-255)")
-    high_threshold: int = Field(default=200, ge=0, le=255, description="The high threshold of the Canny pixel gradient (0-255)")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Canny Processor", "tags": ["controlnet", "canny", "image", "processor"]},
-        }
+    # Input
+    low_threshold: int = InputField(
+        default=100, ge=0, le=255, description="The low threshold of the Canny pixel gradient (0-255)"
+    )
+    high_threshold: int = InputField(
+        default=200, ge=0, le=255, description="The high threshold of the Canny pixel gradient (0-255)"
+    )
 
     def run_processor(self, image):
         canny_processor = CannyDetector()
@@ -276,23 +198,19 @@ class CannyImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfi
         return processed_image
 
 
-class HedImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig):
+@title("HED (softedge) Processor")
+@tags("controlnet", "hed", "softedge")
+class HedImageProcessorInvocation(ImageProcessorInvocation):
     """Applies HED edge detection to image"""
 
-    # fmt: off
     type: Literal["hed_image_processor"] = "hed_image_processor"
-    # Inputs
-    detect_resolution: int = Field(default=512, ge=0, description="The pixel resolution for detection")
-    image_resolution: int = Field(default=512, ge=0, description="The pixel resolution for the output image")
-    # safe not supported in controlnet_aux v0.0.3
-    # safe: bool = Field(default=False, description="whether to use safe mode")
-    scribble: bool = Field(default=False, description="Whether to use scribble mode")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Softedge(HED) Processor", "tags": ["controlnet", "softedge", "hed", "image", "processor"]},
-        }
+    # Inputs
+    detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res)
+    image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res)
+    # safe not supported in controlnet_aux v0.0.3
+    # safe: bool = InputField(default=False, description=FieldDescriptions.safe_mode)
+    scribble: bool = InputField(default=False, description=FieldDescriptions.scribble_mode)
 
     def run_processor(self, image):
         hed_processor = HEDdetector.from_pretrained("lllyasviel/Annotators")
@@ -307,21 +225,17 @@ class HedImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig)
         return processed_image
 
 
-class LineartImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig):
+@title("Lineart Processor")
+@tags("controlnet", "lineart")
+class LineartImageProcessorInvocation(ImageProcessorInvocation):
     """Applies line art processing to image"""
 
-    # fmt: off
     type: Literal["lineart_image_processor"] = "lineart_image_processor"
-    # Inputs
-    detect_resolution: int = Field(default=512, ge=0, description="The pixel resolution for detection")
-    image_resolution: int = Field(default=512, ge=0, description="The pixel resolution for the output image")
-    coarse: bool = Field(default=False, description="Whether to use coarse mode")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Lineart Processor", "tags": ["controlnet", "lineart", "image", "processor"]},
-        }
+    # Inputs
+    detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res)
+    image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res)
+    coarse: bool = InputField(default=False, description="Whether to use coarse mode")
 
     def run_processor(self, image):
         lineart_processor = LineartDetector.from_pretrained("lllyasviel/Annotators")
@@ -331,23 +245,16 @@ class LineartImageProcessorInvocation(ImageProcessorInvocation, PILInvocationCon
         return processed_image
 
 
-class LineartAnimeImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig):
+@title("Lineart Anime Processor")
+@tags("controlnet", "lineart", "anime")
+class LineartAnimeImageProcessorInvocation(ImageProcessorInvocation):
     """Applies line art anime processing to image"""
 
-    # fmt: off
     type: Literal["lineart_anime_image_processor"] = "lineart_anime_image_processor"
-    # Inputs
-    detect_resolution: int = Field(default=512, ge=0, description="The pixel resolution for detection")
-    image_resolution: int = Field(default=512, ge=0, description="The pixel resolution for the output image")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "Lineart Anime Processor",
-                "tags": ["controlnet", "lineart", "anime", "image", "processor"],
-            },
-        }
+    # Inputs
+    detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res)
+    image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res)
 
     def run_processor(self, image):
         processor = LineartAnimeDetector.from_pretrained("lllyasviel/Annotators")
@@ -359,21 +266,17 @@ class LineartAnimeImageProcessorInvocation(ImageProcessorInvocation, PILInvocati
         return processed_image
 
 
-class OpenposeImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig):
+@title("Openpose Processor")
+@tags("controlnet", "openpose", "pose")
+class OpenposeImageProcessorInvocation(ImageProcessorInvocation):
     """Applies Openpose processing to image"""
 
-    # fmt: off
     type: Literal["openpose_image_processor"] = "openpose_image_processor"
-    # Inputs
-    hand_and_face: bool = Field(default=False, description="Whether to use hands and face mode")
-    detect_resolution: int = Field(default=512, ge=0, description="The pixel resolution for detection")
-    image_resolution: int = Field(default=512, ge=0, description="The pixel resolution for the output image")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Openpose Processor", "tags": ["controlnet", "openpose", "image", "processor"]},
-        }
+    # Inputs
+    hand_and_face: bool = InputField(default=False, description="Whether to use hands and face mode")
+    detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res)
+    image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res)
 
     def run_processor(self, image):
         openpose_processor = OpenposeDetector.from_pretrained("lllyasviel/Annotators")
@@ -386,22 +289,18 @@ class OpenposeImageProcessorInvocation(ImageProcessorInvocation, PILInvocationCo
         return processed_image
 
 
-class MidasDepthImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig):
+@title("Midas (Depth) Processor")
+@tags("controlnet", "midas", "depth")
+class MidasDepthImageProcessorInvocation(ImageProcessorInvocation):
     """Applies Midas depth processing to image"""
 
-    # fmt: off
     type: Literal["midas_depth_image_processor"] = "midas_depth_image_processor"
-    # Inputs
-    a_mult: float = Field(default=2.0, ge=0, description="Midas parameter `a_mult` (a = a_mult * PI)")
-    bg_th: float = Field(default=0.1, ge=0, description="Midas parameter `bg_th`")
-    # depth_and_normal not supported in controlnet_aux v0.0.3
-    # depth_and_normal: bool = Field(default=False, description="whether to use depth and normal mode")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Midas (Depth) Processor", "tags": ["controlnet", "midas", "depth", "image", "processor"]},
-        }
+    # Inputs
+    a_mult: float = InputField(default=2.0, ge=0, description="Midas parameter `a_mult` (a = a_mult * PI)")
+    bg_th: float = InputField(default=0.1, ge=0, description="Midas parameter `bg_th`")
+    # depth_and_normal not supported in controlnet_aux v0.0.3
+    # depth_and_normal: bool = InputField(default=False, description="whether to use depth and normal mode")
 
     def run_processor(self, image):
         midas_processor = MidasDetector.from_pretrained("lllyasviel/Annotators")
@@ -415,20 +314,16 @@ class MidasDepthImageProcessorInvocation(ImageProcessorInvocation, PILInvocation
         return processed_image
 
 
-class NormalbaeImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig):
+@title("Normal BAE Processor")
+@tags("controlnet", "normal", "bae")
+class NormalbaeImageProcessorInvocation(ImageProcessorInvocation):
     """Applies NormalBae processing to image"""
 
-    # fmt: off
     type: Literal["normalbae_image_processor"] = "normalbae_image_processor"
-    # Inputs
-    detect_resolution: int = Field(default=512, ge=0, description="The pixel resolution for detection")
-    image_resolution: int = Field(default=512, ge=0, description="The pixel resolution for the output image")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Normal BAE Processor", "tags": ["controlnet", "normal", "bae", "image", "processor"]},
-        }
+    # Inputs
+    detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res)
+    image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res)
 
     def run_processor(self, image):
         normalbae_processor = NormalBaeDetector.from_pretrained("lllyasviel/Annotators")
@@ -438,22 +333,18 @@ class NormalbaeImageProcessorInvocation(ImageProcessorInvocation, PILInvocationC
         return processed_image
 
 
-class MlsdImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig):
+@title("MLSD Processor")
+@tags("controlnet", "mlsd")
+class MlsdImageProcessorInvocation(ImageProcessorInvocation):
     """Applies MLSD processing to image"""
 
-    # fmt: off
     type: Literal["mlsd_image_processor"] = "mlsd_image_processor"
-    # Inputs
-    detect_resolution: int = Field(default=512, ge=0, description="The pixel resolution for detection")
-    image_resolution: int = Field(default=512, ge=0, description="The pixel resolution for the output image")
-    thr_v: float = Field(default=0.1, ge=0, description="MLSD parameter `thr_v`")
-    thr_d: float = Field(default=0.1, ge=0, description="MLSD parameter `thr_d`")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "MLSD Processor", "tags": ["controlnet", "mlsd", "image", "processor"]},
-        }
+    # Inputs
+    detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res)
+    image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res)
+    thr_v: float = InputField(default=0.1, ge=0, description="MLSD parameter `thr_v`")
+    thr_d: float = InputField(default=0.1, ge=0, description="MLSD parameter `thr_d`")
 
     def run_processor(self, image):
         mlsd_processor = MLSDdetector.from_pretrained("lllyasviel/Annotators")
@@ -467,22 +358,18 @@ class MlsdImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig
         return processed_image
 
 
-class PidiImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig):
+@title("PIDI Processor")
+@tags("controlnet", "pidi")
+class PidiImageProcessorInvocation(ImageProcessorInvocation):
     """Applies PIDI processing to image"""
 
-    # fmt: off
     type: Literal["pidi_image_processor"] = "pidi_image_processor"
-    # Inputs
-    detect_resolution: int = Field(default=512, ge=0, description="The pixel resolution for detection")
-    image_resolution: int = Field(default=512, ge=0, description="The pixel resolution for the output image")
-    safe: bool = Field(default=False, description="Whether to use safe mode")
-    scribble: bool = Field(default=False, description="Whether to use scribble mode")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "PIDI Processor", "tags": ["controlnet", "pidi", "image", "processor"]},
-        }
+    # Inputs
+    detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res)
+    image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res)
+    safe: bool = InputField(default=False, description=FieldDescriptions.safe_mode)
+    scribble: bool = InputField(default=False, description=FieldDescriptions.scribble_mode)
 
     def run_processor(self, image):
         pidi_processor = PidiNetDetector.from_pretrained("lllyasviel/Annotators")
@@ -496,26 +383,19 @@ class PidiImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig
         return processed_image
 
 
-class ContentShuffleImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig):
+@title("Content Shuffle Processor")
+@tags("controlnet", "contentshuffle")
+class ContentShuffleImageProcessorInvocation(ImageProcessorInvocation):
     """Applies content shuffle processing to image"""
 
-    # fmt: off
     type: Literal["content_shuffle_image_processor"] = "content_shuffle_image_processor"
-    # Inputs
-    detect_resolution: int = Field(default=512, ge=0, description="The pixel resolution for detection")
-    image_resolution: int = Field(default=512, ge=0, description="The pixel resolution for the output image")
-    h: Optional[int] = Field(default=512, ge=0, description="Content shuffle `h` parameter")
-    w: Optional[int] = Field(default=512, ge=0, description="Content shuffle `w` parameter")
-    f: Optional[int] = Field(default=256, ge=0, description="Content shuffle `f` parameter")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "Content Shuffle Processor",
-                "tags": ["controlnet", "contentshuffle", "image", "processor"],
-            },
-        }
+    # Inputs
+    detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res)
+    image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res)
+    h: Optional[int] = InputField(default=512, ge=0, description="Content shuffle `h` parameter")
+    w: Optional[int] = InputField(default=512, ge=0, description="Content shuffle `w` parameter")
+    f: Optional[int] = InputField(default=256, ge=0, description="Content shuffle `f` parameter")
 
     def run_processor(self, image):
         content_shuffle_processor = ContentShuffleDetector()
@@ -531,17 +411,12 @@ class ContentShuffleImageProcessorInvocation(ImageProcessorInvocation, PILInvoca
 
 
 # should work with controlnet_aux >= 0.0.4 and timm <= 0.6.13
-class ZoeDepthImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig):
+@title("Zoe (Depth) Processor")
+@tags("controlnet", "zoe", "depth")
+class ZoeDepthImageProcessorInvocation(ImageProcessorInvocation):
     """Applies Zoe depth processing to image"""
 
-    # fmt: off
     type: Literal["zoe_depth_image_processor"] = "zoe_depth_image_processor"
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Zoe (Depth) Processor", "tags": ["controlnet", "zoe", "depth", "image", "processor"]},
-        }
 
     def run_processor(self, image):
         zoe_depth_processor = ZoeDetector.from_pretrained("lllyasviel/Annotators")
@@ -549,20 +424,16 @@ class ZoeDepthImageProcessorInvocation(ImageProcessorInvocation, PILInvocationCo
         return processed_image
 
 
-class MediapipeFaceProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig):
+@title("Mediapipe Face Processor")
+@tags("controlnet", "mediapipe", "face")
+class MediapipeFaceProcessorInvocation(ImageProcessorInvocation):
     """Applies mediapipe face processing to image"""
 
-    # fmt: off
     type: Literal["mediapipe_face_processor"] = "mediapipe_face_processor"
-    # Inputs
-    max_faces: int = Field(default=1, ge=1, description="Maximum number of faces to detect")
-    min_confidence: float = Field(default=0.5, ge=0, le=1, description="Minimum confidence for face detection")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Mediapipe Processor", "tags": ["controlnet", "mediapipe", "image", "processor"]},
-        }
+    # Inputs
+    max_faces: int = InputField(default=1, ge=1, description="Maximum number of faces to detect")
+    min_confidence: float = InputField(default=0.5, ge=0, le=1, description="Minimum confidence for face detection")
 
     def run_processor(self, image):
         # MediaPipeFaceDetector throws an error if image has alpha channel
@@ -574,23 +445,19 @@ class MediapipeFaceProcessorInvocation(ImageProcessorInvocation, PILInvocationCo
         return processed_image
 
 
-class LeresImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig):
+@title("Leres (Depth) Processor")
+@tags("controlnet", "leres", "depth")
+class LeresImageProcessorInvocation(ImageProcessorInvocation):
     """Applies leres processing to image"""
 
-    # fmt: off
     type: Literal["leres_image_processor"] = "leres_image_processor"
-    # Inputs
-    thr_a: float = Field(default=0, description="Leres parameter `thr_a`")
-    thr_b: float = Field(default=0, description="Leres parameter `thr_b`")
-    boost: bool = Field(default=False, description="Whether to use boost mode")
-    detect_resolution: int = Field(default=512, ge=0, description="The pixel resolution for detection")
-    image_resolution: int = Field(default=512, ge=0, description="The pixel resolution for the output image")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Leres (Depth) Processor", "tags": ["controlnet", "leres", "depth", "image", "processor"]},
-        }
+    # Inputs
+    thr_a: float = InputField(default=0, description="Leres parameter `thr_a`")
+    thr_b: float = InputField(default=0, description="Leres parameter `thr_b`")
+    boost: bool = InputField(default=False, description="Whether to use boost mode")
+    detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res)
+    image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res)
 
     def run_processor(self, image):
         leres_processor = LeresDetector.from_pretrained("lllyasviel/Annotators")
@@ -605,21 +472,16 @@ class LeresImageProcessorInvocation(ImageProcessorInvocation, PILInvocationConfi
         return processed_image
 
 
-class TileResamplerProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig):
-    # fmt: off
-    type: Literal["tile_image_processor"] = "tile_image_processor"
-    # Inputs
-    #res: int = Field(default=512, ge=0, le=1024, description="The pixel resolution for each tile")
-    down_sampling_rate: float = Field(default=1.0, ge=1.0, le=8.0, description="Down sampling rate")
-    # fmt: on
+@title("Tile Resample Processor")
+@tags("controlnet", "tile")
+class TileResamplerProcessorInvocation(ImageProcessorInvocation):
+    """Tile resampler processor"""
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "Tile Resample Processor",
-                "tags": ["controlnet", "tile", "resample", "image", "processor"],
-            },
-        }
+    type: Literal["tile_image_processor"] = "tile_image_processor"
+
+    # Inputs
+    # res: int = InputField(default=512, ge=0, le=1024, description="The pixel resolution for each tile")
+    down_sampling_rate: float = InputField(default=1.0, ge=1.0, le=8.0, description="Down sampling rate")
 
     # tile_resample copied from sd-webui-controlnet/scripts/processor.py
     def tile_resample(
@@ -648,20 +510,12 @@ class TileResamplerProcessorInvocation(ImageProcessorInvocation, PILInvocationCo
         return processed_image
 
 
-class SegmentAnythingProcessorInvocation(ImageProcessorInvocation, PILInvocationConfig):
+@title("Segment Anything Processor")
+@tags("controlnet", "segmentanything")
+class SegmentAnythingProcessorInvocation(ImageProcessorInvocation):
     """Applies segment anything processing to image"""
 
-    # fmt: off
     type: Literal["segment_anything_processor"] = "segment_anything_processor"
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "Segment Anything Processor",
-                "tags": ["controlnet", "segment", "anything", "sam", "image", "processor"],
-            },
-        }
 
     def run_processor(self, image):
         # segment_anything_processor = SamDetector.from_pretrained("ybelkada/segment-anything", subfolder="checkpoints")
diff --git a/invokeai/app/invocations/cv.py b/invokeai/app/invocations/cv.py
index bd3a4adbe4..ed2030a835 100644
--- a/invokeai/app/invocations/cv.py
+++ b/invokeai/app/invocations/cv.py
@@ -5,40 +5,22 @@ from typing import Literal
 import cv2 as cv
 import numpy
 from PIL import Image, ImageOps
-from pydantic import BaseModel, Field
 
 from invokeai.app.models.image import ImageCategory, ImageField, ResourceOrigin
-from .baseinvocation import BaseInvocation, InvocationContext, InvocationConfig
+from .baseinvocation import BaseInvocation, InputField, InvocationContext, tags, title
 from .image import ImageOutput
 
 
-class CvInvocationConfig(BaseModel):
-    """Helper class to provide all OpenCV invocations with additional config"""
-
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "tags": ["cv", "image"],
-            },
-        }
-
-
-class CvInpaintInvocation(BaseInvocation, CvInvocationConfig):
+@title("OpenCV Inpaint")
+@tags("opencv", "inpaint")
+class CvInpaintInvocation(BaseInvocation):
     """Simple inpaint using opencv."""
 
-    # fmt: off
     type: Literal["cv_inpaint"] = "cv_inpaint"
 
     # Inputs
-    image: ImageField = Field(default=None, description="The image to inpaint")
-    mask: ImageField = Field(default=None, description="The mask to use when inpainting")
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "OpenCV Inpaint", "tags": ["opencv", "inpaint"]},
-        }
+    image: ImageField = InputField(description="The image to inpaint")
+    mask: ImageField = InputField(description="The mask to use when inpainting")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index 2c47020207..5c277ec30f 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -1,37 +1,30 @@
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
 
 from pathlib import Path
-from typing import Literal, Optional, Union
+from typing import Literal, Optional
 
 import cv2
 import numpy
 from PIL import Image, ImageChops, ImageFilter, ImageOps
-from pydantic import Field
 
 from invokeai.app.invocations.metadata import CoreMetadata
 from invokeai.backend.image_util.invisible_watermark import InvisibleWatermark
 from invokeai.backend.image_util.safety_checker import SafetyChecker
 
-from ..models.image import ImageCategory, ImageField, ImageOutput, MaskOutput, PILInvocationConfig, ResourceOrigin
-from .baseinvocation import BaseInvocation, InvocationConfig, InvocationContext
+from ..models.image import ImageCategory, ImageField, ImageOutput, MaskOutput, ResourceOrigin
+from .baseinvocation import BaseInvocation, FieldDescriptions, InputField, InvocationContext, tags, title
 
 
+@title("Load Image")
+@tags("image")
 class LoadImageInvocation(BaseInvocation):
     """Load an image and provide it as output."""
 
-    # fmt: off
+    # Metadata
     type: Literal["load_image"] = "load_image"
 
     # Inputs
-    image: Optional[ImageField] = Field(
-        default=None, description="The image to load"
-    )
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Load Image", "tags": ["image", "load"]},
-        }
+    image: ImageField = InputField(description="The image to load")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
@@ -43,18 +36,16 @@ class LoadImageInvocation(BaseInvocation):
         )
 
 
+@title("Show Image")
+@tags("image")
 class ShowImageInvocation(BaseInvocation):
     """Displays a provided image, and passes it forward in the pipeline."""
 
+    # Metadata
     type: Literal["show_image"] = "show_image"
 
     # Inputs
-    image: Optional[ImageField] = Field(default=None, description="The image to show")
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Show Image", "tags": ["image", "show"]},
-        }
+    image: ImageField = InputField(description="The image to show")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
@@ -70,24 +61,20 @@ class ShowImageInvocation(BaseInvocation):
         )
 
 
-class ImageCropInvocation(BaseInvocation, PILInvocationConfig):
+@title("Crop Image")
+@tags("image", "crop")
+class ImageCropInvocation(BaseInvocation):
     """Crops an image to a specified box. The box can be outside of the image."""
 
-    # fmt: off
+    # Metadata
     type: Literal["img_crop"] = "img_crop"
 
     # Inputs
-    image: Optional[ImageField]  = Field(default=None, description="The image to crop")
-    x:      int = Field(default=0, description="The left x coordinate of the crop rectangle")
-    y:      int = Field(default=0, description="The top y coordinate of the crop rectangle")
-    width:  int = Field(default=512, gt=0, description="The width of the crop rectangle")
-    height: int = Field(default=512, gt=0, description="The height of the crop rectangle")
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Crop Image", "tags": ["image", "crop"]},
-        }
+    image: ImageField = InputField(description="The image to crop")
+    x: int = InputField(default=0, description="The left x coordinate of the crop rectangle")
+    y: int = InputField(default=0, description="The top y coordinate of the crop rectangle")
+    width: int = InputField(default=512, gt=0, description="The width of the crop rectangle")
+    height: int = InputField(default=512, gt=0, description="The height of the crop rectangle")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
@@ -111,24 +98,23 @@ class ImageCropInvocation(BaseInvocation, PILInvocationConfig):
         )
 
 
-class ImagePasteInvocation(BaseInvocation, PILInvocationConfig):
+@title("Paste Image")
+@tags("image", "paste")
+class ImagePasteInvocation(BaseInvocation):
     """Pastes an image into another image."""
 
-    # fmt: off
+    # Metadata
     type: Literal["img_paste"] = "img_paste"
 
     # Inputs
-    base_image:     Optional[ImageField]  = Field(default=None, description="The base image")
-    image:          Optional[ImageField]  = Field(default=None, description="The image to paste")
-    mask: Optional[ImageField] = Field(default=None, description="The mask to use when pasting")
-    x:                     int = Field(default=0, description="The left x coordinate at which to paste the image")
-    y:                     int = Field(default=0, description="The top y coordinate at which to paste the image")
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Paste Image", "tags": ["image", "paste"]},
-        }
+    base_image: ImageField = InputField(description="The base image")
+    image: ImageField = InputField(description="The image to paste")
+    mask: Optional[ImageField] = InputField(
+        default=None,
+        description="The mask to use when pasting",
+    )
+    x: int = InputField(default=0, description="The left x coordinate at which to paste the image")
+    y: int = InputField(default=0, description="The top y coordinate at which to paste the image")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         base_image = context.services.images.get_pil_image(self.base_image.image_name)
@@ -164,21 +150,17 @@ class ImagePasteInvocation(BaseInvocation, PILInvocationConfig):
         )
 
 
-class MaskFromAlphaInvocation(BaseInvocation, PILInvocationConfig):
+@title("Mask from Alpha")
+@tags("image", "mask")
+class MaskFromAlphaInvocation(BaseInvocation):
     """Extracts the alpha channel of an image as a mask."""
 
-    # fmt: off
+    # Metadata
     type: Literal["tomask"] = "tomask"
 
     # Inputs
-    image: Optional[ImageField]  = Field(default=None, description="The image to create the mask from")
-    invert:      bool = Field(default=False, description="Whether or not to invert the mask")
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Mask From Alpha", "tags": ["image", "mask", "alpha"]},
-        }
+    image: ImageField = InputField(description="The image to create the mask from")
+    invert: bool = InputField(default=False, description="Whether or not to invert the mask")
 
     def invoke(self, context: InvocationContext) -> MaskOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
@@ -203,21 +185,17 @@ class MaskFromAlphaInvocation(BaseInvocation, PILInvocationConfig):
         )
 
 
-class ImageMultiplyInvocation(BaseInvocation, PILInvocationConfig):
+@title("Multiply Images")
+@tags("image", "multiply")
+class ImageMultiplyInvocation(BaseInvocation):
     """Multiplies two images together using `PIL.ImageChops.multiply()`."""
 
-    # fmt: off
+    # Metadata
     type: Literal["img_mul"] = "img_mul"
 
     # Inputs
-    image1: Optional[ImageField]  = Field(default=None, description="The first image to multiply")
-    image2: Optional[ImageField]  = Field(default=None, description="The second image to multiply")
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Multiply Images", "tags": ["image", "multiply"]},
-        }
+    image1: ImageField = InputField(description="The first image to multiply")
+    image2: ImageField = InputField(description="The second image to multiply")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image1 = context.services.images.get_pil_image(self.image1.image_name)
@@ -244,21 +222,17 @@ class ImageMultiplyInvocation(BaseInvocation, PILInvocationConfig):
 IMAGE_CHANNELS = Literal["A", "R", "G", "B"]
 
 
-class ImageChannelInvocation(BaseInvocation, PILInvocationConfig):
+@title("Extract Image Channel")
+@tags("image", "channel")
+class ImageChannelInvocation(BaseInvocation):
     """Gets a channel from an image."""
 
-    # fmt: off
+    # Metadata
     type: Literal["img_chan"] = "img_chan"
 
     # Inputs
-    image: Optional[ImageField]  = Field(default=None, description="The image to get the channel from")
-    channel: IMAGE_CHANNELS  = Field(default="A", description="The channel to get")
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Image Channel", "tags": ["image", "channel"]},
-        }
+    image: ImageField = InputField(description="The image to get the channel from")
+    channel: IMAGE_CHANNELS = InputField(default="A", description="The channel to get")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
@@ -284,21 +258,17 @@ class ImageChannelInvocation(BaseInvocation, PILInvocationConfig):
 IMAGE_MODES = Literal["L", "RGB", "RGBA", "CMYK", "YCbCr", "LAB", "HSV", "I", "F"]
 
 
-class ImageConvertInvocation(BaseInvocation, PILInvocationConfig):
+@title("Convert Image Mode")
+@tags("image", "convert")
+class ImageConvertInvocation(BaseInvocation):
     """Converts an image to a different mode."""
 
-    # fmt: off
+    # Metadata
     type: Literal["img_conv"] = "img_conv"
 
     # Inputs
-    image: Optional[ImageField]  = Field(default=None, description="The image to convert")
-    mode: IMAGE_MODES  = Field(default="L", description="The mode to convert to")
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Convert Image", "tags": ["image", "convert"]},
-        }
+    image: ImageField = InputField(description="The image to convert")
+    mode: IMAGE_MODES = InputField(default="L", description="The mode to convert to")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
@@ -321,22 +291,19 @@ class ImageConvertInvocation(BaseInvocation, PILInvocationConfig):
         )
 
 
-class ImageBlurInvocation(BaseInvocation, PILInvocationConfig):
+@title("Blur Image")
+@tags("image", "blur")
+class ImageBlurInvocation(BaseInvocation):
     """Blurs an image"""
 
-    # fmt: off
+    # Metadata
     type: Literal["img_blur"] = "img_blur"
 
     # Inputs
-    image: Optional[ImageField]  = Field(default=None, description="The image to blur")
-    radius:     float = Field(default=8.0, ge=0, description="The blur radius")
-    blur_type: Literal["gaussian", "box"] = Field(default="gaussian", description="The type of blur")
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Blur Image", "tags": ["image", "blur"]},
-        }
+    image: ImageField = InputField(description="The image to blur")
+    radius: float = InputField(default=8.0, ge=0, description="The blur radius")
+    # Metadata
+    blur_type: Literal["gaussian", "box"] = InputField(default="gaussian", description="The type of blur")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
@@ -382,23 +349,19 @@ PIL_RESAMPLING_MAP = {
 }
 
 
-class ImageResizeInvocation(BaseInvocation, PILInvocationConfig):
+@title("Resize Image")
+@tags("image", "resize")
+class ImageResizeInvocation(BaseInvocation):
     """Resizes an image to specific dimensions"""
 
-    # fmt: off
+    # Metadata
     type: Literal["img_resize"] = "img_resize"
 
     # Inputs
-    image: Optional[ImageField]  = Field(default=None, description="The image to resize")
-    width:                         Union[int, None] = Field(ge=64, multiple_of=8, description="The width to resize to (px)")
-    height:                        Union[int, None] = Field(ge=64, multiple_of=8, description="The height to resize to (px)")
-    resample_mode:  PIL_RESAMPLING_MODES = Field(default="bicubic", description="The resampling mode")
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Resize Image", "tags": ["image", "resize"]},
-        }
+    image: ImageField = InputField(description="The image to resize")
+    width: int = InputField(default=512, ge=64, multiple_of=8, description="The width to resize to (px)")
+    height: int = InputField(default=512, ge=64, multiple_of=8, description="The height to resize to (px)")
+    resample_mode: PIL_RESAMPLING_MODES = InputField(default="bicubic", description="The resampling mode")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
@@ -426,22 +389,22 @@ class ImageResizeInvocation(BaseInvocation, PILInvocationConfig):
         )
 
 
-class ImageScaleInvocation(BaseInvocation, PILInvocationConfig):
+@title("Scale Image")
+@tags("image", "scale")
+class ImageScaleInvocation(BaseInvocation):
     """Scales an image by a factor"""
 
-    # fmt: off
+    # Metadata
     type: Literal["img_scale"] = "img_scale"
 
     # Inputs
-    image:          Optional[ImageField] = Field(default=None, description="The image to scale")
-    scale_factor:        Optional[float] = Field(default=2.0, gt=0, description="The factor by which to scale the image")
-    resample_mode:  PIL_RESAMPLING_MODES = Field(default="bicubic", description="The resampling mode")
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Scale Image", "tags": ["image", "scale"]},
-        }
+    image: ImageField = InputField(description="The image to scale")
+    scale_factor: float = InputField(
+        default=2.0,
+        gt=0,
+        description="The factor by which to scale the image",
+    )
+    resample_mode: PIL_RESAMPLING_MODES = InputField(default="bicubic", description="The resampling mode")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
@@ -471,22 +434,18 @@ class ImageScaleInvocation(BaseInvocation, PILInvocationConfig):
         )
 
 
-class ImageLerpInvocation(BaseInvocation, PILInvocationConfig):
+@title("Lerp Image")
+@tags("image", "lerp")
+class ImageLerpInvocation(BaseInvocation):
     """Linear interpolation of all pixels of an image"""
 
-    # fmt: off
+    # Metadata
     type: Literal["img_lerp"] = "img_lerp"
 
     # Inputs
-    image: Optional[ImageField]  = Field(default=None, description="The image to lerp")
-    min: int = Field(default=0, ge=0, le=255, description="The minimum output value")
-    max: int = Field(default=255, ge=0, le=255, description="The maximum output value")
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Image Linear Interpolation", "tags": ["image", "linear", "interpolation", "lerp"]},
-        }
+    image: ImageField = InputField(description="The image to lerp")
+    min: int = InputField(default=0, ge=0, le=255, description="The minimum output value")
+    max: int = InputField(default=255, ge=0, le=255, description="The maximum output value")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
@@ -512,25 +471,18 @@ class ImageLerpInvocation(BaseInvocation, PILInvocationConfig):
         )
 
 
-class ImageInverseLerpInvocation(BaseInvocation, PILInvocationConfig):
+@title("Inverse Lerp Image")
+@tags("image", "ilerp")
+class ImageInverseLerpInvocation(BaseInvocation):
     """Inverse linear interpolation of all pixels of an image"""
 
-    # fmt: off
+    # Metadata
     type: Literal["img_ilerp"] = "img_ilerp"
 
     # Inputs
-    image: Optional[ImageField]  = Field(default=None, description="The image to lerp")
-    min: int = Field(default=0, ge=0, le=255, description="The minimum input value")
-    max: int = Field(default=255, ge=0, le=255, description="The maximum input value")
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "Image Inverse Linear Interpolation",
-                "tags": ["image", "linear", "interpolation", "inverse"],
-            },
-        }
+    image: ImageField = InputField(description="The image to lerp")
+    min: int = InputField(default=0, ge=0, le=255, description="The minimum input value")
+    max: int = InputField(default=255, ge=0, le=255, description="The maximum input value")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
@@ -556,21 +508,19 @@ class ImageInverseLerpInvocation(BaseInvocation, PILInvocationConfig):
         )
 
 
-class ImageNSFWBlurInvocation(BaseInvocation, PILInvocationConfig):
+@title("Blur NSFW Image")
+@tags("image", "nsfw")
+class ImageNSFWBlurInvocation(BaseInvocation):
     """Add blur to NSFW-flagged images"""
 
-    # fmt: off
+    # Metadata
     type: Literal["img_nsfw"] = "img_nsfw"
 
     # Inputs
-    image: Optional[ImageField]  = Field(default=None, description="The image to check")
-    metadata: Optional[CoreMetadata] = Field(default=None, description="Optional core metadata to be written to the image")    
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Blur NSFW Images", "tags": ["image", "nsfw", "checker"]},
-        }
+    image: ImageField = InputField(description="The image to check")
+    metadata: Optional[CoreMetadata] = InputField(
+        default=None, description=FieldDescriptions.core_metadata, ui_hidden=True
+    )
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
@@ -607,22 +557,20 @@ class ImageNSFWBlurInvocation(BaseInvocation, PILInvocationConfig):
         return caution.resize((caution.width // 2, caution.height // 2))
 
 
-class ImageWatermarkInvocation(BaseInvocation, PILInvocationConfig):
+@title("Add Invisible Watermark")
+@tags("image", "watermark")
+class ImageWatermarkInvocation(BaseInvocation):
     """Add an invisible watermark to an image"""
 
-    # fmt: off
+    # Metadata
     type: Literal["img_watermark"] = "img_watermark"
 
     # Inputs
-    image: Optional[ImageField]  = Field(default=None, description="The image to check")
-    text: str = Field(default='InvokeAI', description="Watermark text")
-    metadata: Optional[CoreMetadata] = Field(default=None, description="Optional core metadata to be written to the image")    
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Add Invisible Watermark", "tags": ["image", "watermark", "invisible"]},
-        }
+    image: ImageField = InputField(description="The image to check")
+    text: str = InputField(default="InvokeAI", description="Watermark text")
+    metadata: Optional[CoreMetadata] = InputField(
+        default=None, description=FieldDescriptions.core_metadata, ui_hidden=True
+    )
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
@@ -644,19 +592,21 @@ class ImageWatermarkInvocation(BaseInvocation, PILInvocationConfig):
         )
 
 
-class MaskEdgeInvocation(BaseInvocation, PILInvocationConfig):
+@title("Mask Edge")
+@tags("image", "mask", "inpaint")
+class MaskEdgeInvocation(BaseInvocation):
     """Applies an edge mask to an image"""
 
-    # fmt: off
     type: Literal["mask_edge"] = "mask_edge"
 
     # Inputs
-    image: Optional[ImageField] = Field(default=None, description="The image to apply the mask to")
-    edge_size: int = Field(description="The size of the edge")
-    edge_blur: int = Field(description="The amount of blur on the edge")
-    low_threshold: int = Field(description="First threshold for the hysteresis procedure in Canny edge detection")
-    high_threshold: int = Field(description="Second threshold for the hysteresis procedure in Canny edge detection")
-    # fmt: on
+    image: ImageField = InputField(description="The image to apply the mask to")
+    edge_size: int = InputField(description="The size of the edge")
+    edge_blur: int = InputField(description="The amount of blur on the edge")
+    low_threshold: int = InputField(description="First threshold for the hysteresis procedure in Canny edge detection")
+    high_threshold: int = InputField(
+        description="Second threshold for the hysteresis procedure in Canny edge detection"
+    )
 
     def invoke(self, context: InvocationContext) -> MaskOutput:
         mask = context.services.images.get_pil_image(self.image.image_name)
@@ -690,21 +640,16 @@ class MaskEdgeInvocation(BaseInvocation, PILInvocationConfig):
         )
 
 
-class MaskCombineInvocation(BaseInvocation, PILInvocationConfig):
+@title("Combine Mask")
+@tags("image", "mask", "multiply")
+class MaskCombineInvocation(BaseInvocation):
     """Combine two masks together by multiplying them using `PIL.ImageChops.multiply()`."""
 
-    # fmt: off
     type: Literal["mask_combine"] = "mask_combine"
 
     # Inputs
-    mask1: ImageField  = Field(default=None, description="The first mask to combine")
-    mask2: ImageField  = Field(default=None, description="The second image to combine")
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Mask Combine", "tags": ["mask", "combine"]},
-        }
+    mask1: ImageField = InputField(description="The first mask to combine")
+    mask2: ImageField = InputField(description="The second image to combine")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         mask1 = context.services.images.get_pil_image(self.mask1.image_name).convert("L")
@@ -728,7 +673,9 @@ class MaskCombineInvocation(BaseInvocation, PILInvocationConfig):
         )
 
 
-class ColorCorrectInvocation(BaseInvocation, PILInvocationConfig):
+@title("Color Correct")
+@tags("image", "color")
+class ColorCorrectInvocation(BaseInvocation):
     """
     Shifts the colors of a target image to match the reference image, optionally
     using a mask to only color-correct certain regions of the target image.
@@ -736,10 +683,11 @@ class ColorCorrectInvocation(BaseInvocation, PILInvocationConfig):
 
     type: Literal["color_correct"] = "color_correct"
 
-    image: Optional[ImageField] = Field(default=None, description="The image to color-correct")
-    reference: Optional[ImageField] = Field(default=None, description="Reference image for color-correction")
-    mask: Optional[ImageField] = Field(default=None, description="Mask to use when applying color-correction")
-    mask_blur_radius: float = Field(default=8, description="Mask blur radius")
+    # Inputs
+    image: ImageField = InputField(description="The image to color-correct")
+    reference: ImageField = InputField(description="Reference image for color-correction")
+    mask: Optional[ImageField] = InputField(default=None, description="Mask to use when applying color-correction")
+    mask_blur_radius: float = InputField(default=8, description="Mask blur radius")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         pil_init_mask = None
@@ -833,16 +781,16 @@ class ColorCorrectInvocation(BaseInvocation, PILInvocationConfig):
         )
 
 
+@title("Image Hue Adjustment")
+@tags("image", "hue", "hsl")
 class ImageHueAdjustmentInvocation(BaseInvocation):
     """Adjusts the Hue of an image."""
 
-    # fmt: off
     type: Literal["img_hue_adjust"] = "img_hue_adjust"
 
     # Inputs
-    image: ImageField = Field(default=None, description="The image to adjust")
-    hue: int = Field(default=0, description="The degrees by which to rotate the hue, 0-360")
-    # fmt: on
+    image: ImageField = InputField(description="The image to adjust")
+    hue: int = InputField(default=0, description="The degrees by which to rotate the hue, 0-360")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         pil_image = context.services.images.get_pil_image(self.image.image_name)
@@ -877,16 +825,18 @@ class ImageHueAdjustmentInvocation(BaseInvocation):
         )
 
 
+@title("Image Luminosity Adjustment")
+@tags("image", "luminosity", "hsl")
 class ImageLuminosityAdjustmentInvocation(BaseInvocation):
     """Adjusts the Luminosity (Value) of an image."""
 
-    # fmt: off
     type: Literal["img_luminosity_adjust"] = "img_luminosity_adjust"
 
     # Inputs
-    image: ImageField = Field(default=None, description="The image to adjust")
-    luminosity: float = Field(default=1.0, ge=0, le=1, description="The factor by which to adjust the luminosity (value)")
-    # fmt: on
+    image: ImageField = InputField(description="The image to adjust")
+    luminosity: float = InputField(
+        default=1.0, ge=0, le=1, description="The factor by which to adjust the luminosity (value)"
+    )
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         pil_image = context.services.images.get_pil_image(self.image.image_name)
@@ -925,16 +875,16 @@ class ImageLuminosityAdjustmentInvocation(BaseInvocation):
         )
 
 
+@title("Image Saturation Adjustment")
+@tags("image", "saturation", "hsl")
 class ImageSaturationAdjustmentInvocation(BaseInvocation):
     """Adjusts the Saturation of an image."""
 
-    # fmt: off
     type: Literal["img_saturation_adjust"] = "img_saturation_adjust"
 
     # Inputs
-    image: ImageField = Field(default=None, description="The image to adjust")
-    saturation: float = Field(default=1.0, ge=0, le=1, description="The factor by which to adjust the saturation")
-    # fmt: on
+    image: ImageField = InputField(description="The image to adjust")
+    saturation: float = InputField(default=1.0, ge=0, le=1, description="The factor by which to adjust the saturation")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         pil_image = context.services.images.get_pil_image(self.image.image_name)
diff --git a/invokeai/app/invocations/infill.py b/invokeai/app/invocations/infill.py
index cd5b2f9a11..2294f806ca 100644
--- a/invokeai/app/invocations/infill.py
+++ b/invokeai/app/invocations/infill.py
@@ -5,18 +5,13 @@ from typing import Literal, Optional, get_args
 import numpy as np
 import math
 from PIL import Image, ImageOps
-from pydantic import Field
 
 from invokeai.app.invocations.image import ImageOutput
 from invokeai.app.util.misc import SEED_MAX, get_random_seed
 from invokeai.backend.image_util.patchmatch import PatchMatch
 
 from ..models.image import ColorField, ImageCategory, ImageField, ResourceOrigin
-from .baseinvocation import (
-    BaseInvocation,
-    InvocationConfig,
-    InvocationContext,
-)
+from .baseinvocation import BaseInvocation, InputField, InvocationContext, UITypeHint, title, tags
 
 
 def infill_methods() -> list[str]:
@@ -114,21 +109,20 @@ def tile_fill_missing(im: Image.Image, tile_size: int = 16, seed: Optional[int]
     return si
 
 
+@title("Solid Color Infill")
+@tags("image", "inpaint")
 class InfillColorInvocation(BaseInvocation):
     """Infills transparent areas of an image with a solid color"""
 
     type: Literal["infill_rgba"] = "infill_rgba"
-    image: Optional[ImageField] = Field(default=None, description="The image to infill")
-    color: ColorField = Field(
+
+    # Inputs
+    image: ImageField = InputField(description="The image to infill")
+    color: ColorField = InputField(
         default=ColorField(r=127, g=127, b=127, a=255),
         description="The color to use to infill",
     )
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Color Infill", "tags": ["image", "inpaint", "color", "infill"]},
-        }
-
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
 
@@ -153,25 +147,23 @@ class InfillColorInvocation(BaseInvocation):
         )
 
 
+@title("Tile Infill")
+@tags("image", "inpaint")
 class InfillTileInvocation(BaseInvocation):
     """Infills transparent areas of an image with tiles of the image"""
 
     type: Literal["infill_tile"] = "infill_tile"
 
-    image: Optional[ImageField] = Field(default=None, description="The image to infill")
-    tile_size: int = Field(default=32, ge=1, description="The tile size (px)")
-    seed: int = Field(
+    # Input
+    image: ImageField = InputField(description="The image to infill")
+    tile_size: int = InputField(default=32, ge=1, description="The tile size (px)")
+    seed: int = InputField(
         ge=0,
         le=SEED_MAX,
         description="The seed to use for tile generation (omit for random)",
         default_factory=get_random_seed,
     )
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Tile Infill", "tags": ["image", "inpaint", "tile", "infill"]},
-        }
-
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
 
@@ -194,17 +186,15 @@ class InfillTileInvocation(BaseInvocation):
         )
 
 
+@title("PatchMatch Infill")
+@tags("image", "inpaint")
 class InfillPatchMatchInvocation(BaseInvocation):
     """Infills transparent areas of an image using the PatchMatch algorithm"""
 
     type: Literal["infill_patchmatch"] = "infill_patchmatch"
 
-    image: Optional[ImageField] = Field(default=None, description="The image to infill")
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Patch Match Infill", "tags": ["image", "inpaint", "patchmatch", "infill"]},
-        }
+    # Inputs
+    image: ImageField = InputField(description="The image to infill")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index c66c9c6214..63cfd95394 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -13,7 +13,8 @@ from diffusers.models.attention_processor import (
     LoRAXFormersAttnProcessor,
     XFormersAttnProcessor,
 )
-from diffusers.schedulers import DPMSolverSDEScheduler, SchedulerMixin as Scheduler
+from diffusers.schedulers import DPMSolverSDEScheduler
+from diffusers.schedulers import SchedulerMixin as Scheduler
 from pydantic import BaseModel, Field, validator
 from torchvision.transforms.functional import resize as tv_resize
 
@@ -23,6 +24,7 @@ from invokeai.app.util.step_callback import stable_diffusion_step_callback
 from invokeai.backend.model_management.models import ModelType, SilenceWarnings
 
 from ...backend.model_management import BaseModelType, ModelPatcher
+from ...backend.model_management.lora import ModelPatcher
 from ...backend.stable_diffusion import PipelineIntermediateState
 from ...backend.stable_diffusion.diffusers_pipeline import (
     ConditioningData,
@@ -32,9 +34,20 @@ from ...backend.stable_diffusion.diffusers_pipeline import (
 )
 from ...backend.stable_diffusion.diffusion.shared_invokeai_diffusion import PostprocessingSettings
 from ...backend.stable_diffusion.schedulers import SCHEDULER_MAP
-from ...backend.util.devices import choose_precision, choose_torch_device, torch_dtype
+from ...backend.util.devices import choose_precision, choose_torch_device
 from ..models.image import ImageCategory, ImageField, ResourceOrigin
-from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext
+from .baseinvocation import (
+    BaseInvocation,
+    BaseInvocationOutput,
+    FieldDescriptions,
+    Input,
+    InputField,
+    InvocationContext,
+    OutputField,
+    UITypeHint,
+    tags,
+    title,
+)
 from .compel import ConditioningField
 from .controlnet_image_processors import ControlField
 from .image import ImageOutput
@@ -46,8 +59,8 @@ DEFAULT_PRECISION = choose_precision(choose_torch_device())
 class LatentsField(BaseModel):
     """A latents field used for passing latents between invocations"""
 
-    latents_name: Optional[str] = Field(default=None, description="The name of the latents")
-    seed: Optional[int] = Field(description="Seed used to generate this latents")
+    latents_name: str = Field(description="The name of the latents")
+    seed: Optional[int] = Field(default=None, description="Seed used to generate this latents")
 
     class Config:
         schema_extra = {"required": ["latents_name"]}
@@ -56,14 +69,14 @@ class LatentsField(BaseModel):
 class LatentsOutput(BaseInvocationOutput):
     """Base class for invocations that output latents"""
 
-    # fmt: off
     type: Literal["latents_output"] = "latents_output"
 
     # Inputs
-    latents: LatentsField          = Field(default=None, description="The output latents")
-    width:                     int = Field(description="The width of the latents in pixels")
-    height:                    int = Field(description="The height of the latents in pixels")
-    # fmt: on
+    latents: LatentsField = OutputField(
+        description=FieldDescriptions.latents,
+    )
+    width: int = OutputField(description=FieldDescriptions.width)
+    height: int = OutputField(description=FieldDescriptions.height)
 
 
 def build_latents_output(latents_name: str, latents: torch.Tensor, seed: Optional[int]):
@@ -111,30 +124,36 @@ def get_scheduler(
     return scheduler
 
 
+@title("Denoise Latents")
+@tags("latents", "denoise", "txt2img", "t2i", "t2l", "img2img", "i2i", "l2l")
 class DenoiseLatentsInvocation(BaseInvocation):
     """Denoises noisy latents to decodable images"""
 
     type: Literal["denoise_latents"] = "denoise_latents"
 
     # Inputs
-    positive_conditioning: Optional[ConditioningField] = Field(description="Positive conditioning for generation")
-    negative_conditioning: Optional[ConditioningField] = Field(description="Negative conditioning for generation")
-    noise: Optional[LatentsField] = Field(description="The noise to use")
-    steps: int = Field(default=10, gt=0, description="The number of steps to use to generate the image")
-    cfg_scale: Union[float, List[float]] = Field(
-        default=7.5,
-        ge=1,
-        description="The Classifier-Free Guidance, higher values may result in a result closer to the prompt",
+    positive_conditioning: ConditioningField = InputField(
+        description=FieldDescriptions.positive_cond, input=Input.Connection
     )
-    denoising_start: float = Field(default=0.0, ge=0, le=1, description="")
-    denoising_end: float = Field(default=1.0, ge=0, le=1, description="")
-    scheduler: SAMPLER_NAME_VALUES = Field(default="euler", description="The scheduler to use")
-    unet: UNetField = Field(default=None, description="UNet submodel")
-    control: Union[ControlField, list[ControlField]] = Field(default=None, description="The control to use")
-    latents: Optional[LatentsField] = Field(description="The latents to use as a base image")
-    mask: Optional[ImageField] = Field(
-        None,
-        description="Mask",
+    negative_conditioning: ConditioningField = InputField(
+        description=FieldDescriptions.negative_cond, input=Input.Connection
+    )
+    noise: Optional[LatentsField] = InputField(description=FieldDescriptions.noise, input=Input.Connection)
+    steps: int = InputField(default=10, gt=0, description=FieldDescriptions.steps)
+    cfg_scale: Union[float, List[float]] = InputField(
+        default=7.5, ge=1, description=FieldDescriptions.cfg_scale, ui_type_hint=UITypeHint.Float
+    )
+    denoising_start: float = InputField(default=0.0, ge=0, le=1, description=FieldDescriptions.denoising_start)
+    denoising_end: float = InputField(default=1.0, ge=0, le=1, description=FieldDescriptions.denoising_end)
+    scheduler: SAMPLER_NAME_VALUES = InputField(default="euler", description=FieldDescriptions.scheduler)
+    unet: UNetField = InputField(description=FieldDescriptions.unet, input=Input.Connection)
+    control: Union[ControlField, list[ControlField]] = InputField(
+        default=None, description=FieldDescriptions.control, input=Input.Connection
+    )
+    latents: Optional[LatentsField] = InputField(description=FieldDescriptions.latents, input=Input.Connection)
+    mask: Optional[ImageField] = InputField(
+        default=None,
+        description=FieldDescriptions.mask,
     )
 
     @validator("cfg_scale")
@@ -149,20 +168,6 @@ class DenoiseLatentsInvocation(BaseInvocation):
                 raise ValueError("cfg_scale must be greater than 1")
         return v
 
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "Denoise Latents",
-                "tags": ["denoise", "latents"],
-                "type_hints": {
-                    "model": "model",
-                    "control": "control",
-                    "cfg_scale": "number",
-                },
-            },
-        }
-
     # TODO: pass this an emitter method or something? or a session for dispatching?
     def dispatch_progress(
         self,
@@ -474,29 +479,29 @@ class DenoiseLatentsInvocation(BaseInvocation):
         return build_latents_output(latents_name=name, latents=result_latents, seed=seed)
 
 
-# Latent to image
+@title("Latents to Image")
+@tags("latents", "image", "vae")
 class LatentsToImageInvocation(BaseInvocation):
     """Generates an image from latents."""
 
     type: Literal["l2i"] = "l2i"
 
     # Inputs
-    latents: Optional[LatentsField] = Field(description="The latents to generate an image from")
-    vae: VaeField = Field(default=None, description="Vae submodel")
-    tiled: bool = Field(default=False, description="Decode latents by overlaping tiles (less memory consumption)")
-    fp32: bool = Field(DEFAULT_PRECISION == "float32", description="Decode in full precision")
-    metadata: Optional[CoreMetadata] = Field(
-        default=None, description="Optional core metadata to be written to the image"
+    latents: LatentsField = InputField(
+        description=FieldDescriptions.latents,
+        input=Input.Connection,
+    )
+    vae: VaeField = InputField(
+        description=FieldDescriptions.vae,
+        input=Input.Connection,
+    )
+    tiled: bool = InputField(default=False, description=FieldDescriptions.tiled)
+    fp32: bool = InputField(default=DEFAULT_PRECISION == "float32", description=FieldDescriptions.fp32)
+    metadata: CoreMetadata = InputField(
+        default=None,
+        description=FieldDescriptions.core_metadata,
+        ui_hidden=True,
     )
-
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "Latents To Image",
-                "tags": ["latents", "image"],
-            },
-        }
 
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> ImageOutput:
@@ -574,24 +579,30 @@ class LatentsToImageInvocation(BaseInvocation):
 LATENTS_INTERPOLATION_MODE = Literal["nearest", "linear", "bilinear", "bicubic", "trilinear", "area", "nearest-exact"]
 
 
+@title("Resize Latents")
+@tags("latents", "resize")
 class ResizeLatentsInvocation(BaseInvocation):
     """Resizes latents to explicit width/height (in pixels). Provided dimensions are floor-divided by 8."""
 
     type: Literal["lresize"] = "lresize"
 
     # Inputs
-    latents: Optional[LatentsField] = Field(description="The latents to resize")
-    width: Union[int, None] = Field(default=512, ge=64, multiple_of=8, description="The width to resize to (px)")
-    height: Union[int, None] = Field(default=512, ge=64, multiple_of=8, description="The height to resize to (px)")
-    mode: LATENTS_INTERPOLATION_MODE = Field(default="bilinear", description="The interpolation mode")
-    antialias: bool = Field(
-        default=False, description="Whether or not to antialias (applied in bilinear and bicubic modes only)"
+    latents: LatentsField = InputField(
+        description=FieldDescriptions.latents,
+        input=Input.Connection,
     )
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Resize Latents", "tags": ["latents", "resize"]},
-        }
+    width: int = InputField(
+        ge=64,
+        multiple_of=8,
+        description=FieldDescriptions.width,
+    )
+    height: int = InputField(
+        ge=64,
+        multiple_of=8,
+        description=FieldDescriptions.width,
+    )
+    mode: LATENTS_INTERPOLATION_MODE = InputField(default="bilinear", description=FieldDescriptions.interp_mode)
+    antialias: bool = InputField(default=False, description=FieldDescriptions.torch_antialias)
 
     def invoke(self, context: InvocationContext) -> LatentsOutput:
         latents = context.services.latents.get(self.latents.latents_name)
@@ -616,23 +627,21 @@ class ResizeLatentsInvocation(BaseInvocation):
         return build_latents_output(latents_name=name, latents=resized_latents, seed=self.latents.seed)
 
 
+@title("Scale Latents")
+@tags("latents", "resize")
 class ScaleLatentsInvocation(BaseInvocation):
     """Scales latents by a given factor."""
 
     type: Literal["lscale"] = "lscale"
 
     # Inputs
-    latents: Optional[LatentsField] = Field(description="The latents to scale")
-    scale_factor: float = Field(gt=0, description="The factor by which to scale the latents")
-    mode: LATENTS_INTERPOLATION_MODE = Field(default="bilinear", description="The interpolation mode")
-    antialias: bool = Field(
-        default=False, description="Whether or not to antialias (applied in bilinear and bicubic modes only)"
+    latents: LatentsField = InputField(
+        description=FieldDescriptions.latents,
+        input=Input.Connection,
     )
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Scale Latents", "tags": ["latents", "scale"]},
-        }
+    scale_factor: float = InputField(gt=0, description=FieldDescriptions.scale_factor)
+    mode: LATENTS_INTERPOLATION_MODE = InputField(default="bilinear", description=FieldDescriptions.interp_mode)
+    antialias: bool = InputField(default=False, description=FieldDescriptions.torch_antialias)
 
     def invoke(self, context: InvocationContext) -> LatentsOutput:
         latents = context.services.latents.get(self.latents.latents_name)
@@ -658,22 +667,23 @@ class ScaleLatentsInvocation(BaseInvocation):
         return build_latents_output(latents_name=name, latents=resized_latents, seed=self.latents.seed)
 
 
+@title("Image to Latents")
+@tags("latents", "image", "vae")
 class ImageToLatentsInvocation(BaseInvocation):
     """Encodes an image into latents."""
 
     type: Literal["i2l"] = "i2l"
 
     # Inputs
-    image: Optional[ImageField] = Field(description="The image to encode")
-    vae: VaeField = Field(default=None, description="Vae submodel")
-    tiled: bool = Field(default=False, description="Encode latents by overlaping tiles(less memory consumption)")
-    fp32: bool = Field(DEFAULT_PRECISION == "float32", description="Decode in full precision")
-
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Image To Latents", "tags": ["latents", "image"]},
-        }
+    image: ImageField = InputField(
+        description="The image to encode",
+    )
+    vae: VaeField = InputField(
+        description=FieldDescriptions.vae,
+        input=Input.Connection,
+    )
+    tiled: bool = InputField(default=False, description=FieldDescriptions.tiled)
+    fp32: bool = InputField(default=DEFAULT_PRECISION == "float32", description=FieldDescriptions.fp32)
 
     @torch.no_grad()
     def invoke(self, context: InvocationContext) -> LatentsOutput:
diff --git a/invokeai/app/invocations/math.py b/invokeai/app/invocations/math.py
index 32b1ab2a39..81c032ca89 100644
--- a/invokeai/app/invocations/math.py
+++ b/invokeai/app/invocations/math.py
@@ -2,134 +2,104 @@
 
 from typing import Literal
 
-from pydantic import BaseModel, Field
 import numpy as np
 
 from .baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
+    FieldDescriptions,
+    InputField,
     InvocationContext,
-    InvocationConfig,
+    OutputField,
+    tags,
+    title,
 )
 
 
-class MathInvocationConfig(BaseModel):
-    """Helper class to provide all math invocations with additional config"""
-
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "tags": ["math"],
-            }
-        }
-
-
 class IntOutput(BaseInvocationOutput):
     """An integer output"""
 
-    # fmt: off
     type: Literal["int_output"] = "int_output"
-    a: int = Field(default=None, description="The output integer")
-    # fmt: on
+    a: int = OutputField(default=None, description="The output integer")
 
 
 class FloatOutput(BaseInvocationOutput):
     """A float output"""
 
-    # fmt: off
     type: Literal["float_output"] = "float_output"
-    param: float = Field(default=None, description="The output float")
-    # fmt: on
+    a: float = OutputField(default=None, description="The output float")
 
 
-class AddInvocation(BaseInvocation, MathInvocationConfig):
+@title("Add Integers")
+@tags("math")
+class AddInvocation(BaseInvocation):
     """Adds two numbers"""
 
-    # fmt: off
     type: Literal["add"] = "add"
-    a: int = Field(default=0, description="The first number")
-    b: int = Field(default=0, description="The second number")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Add", "tags": ["math", "add"]},
-        }
+    # Inputs
+    a: int = InputField(default=0, description=FieldDescriptions.num_1)
+    b: int = InputField(default=0, description=FieldDescriptions.num_2)
 
     def invoke(self, context: InvocationContext) -> IntOutput:
         return IntOutput(a=self.a + self.b)
 
 
-class SubtractInvocation(BaseInvocation, MathInvocationConfig):
+@title("Subtract Integers")
+@tags("math")
+class SubtractInvocation(BaseInvocation):
     """Subtracts two numbers"""
 
-    # fmt: off
     type: Literal["sub"] = "sub"
-    a: int = Field(default=0, description="The first number")
-    b: int = Field(default=0, description="The second number")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Subtract", "tags": ["math", "subtract"]},
-        }
+    # Inputs
+    a: int = InputField(default=0, description=FieldDescriptions.num_1)
+    b: int = InputField(default=0, description=FieldDescriptions.num_2)
 
     def invoke(self, context: InvocationContext) -> IntOutput:
         return IntOutput(a=self.a - self.b)
 
 
-class MultiplyInvocation(BaseInvocation, MathInvocationConfig):
+@title("Multiply Integers")
+@tags("math")
+class MultiplyInvocation(BaseInvocation):
     """Multiplies two numbers"""
 
-    # fmt: off
     type: Literal["mul"] = "mul"
-    a: int = Field(default=0, description="The first number")
-    b: int = Field(default=0, description="The second number")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Multiply", "tags": ["math", "multiply"]},
-        }
+    # Inputs
+    a: int = InputField(default=0, description=FieldDescriptions.num_1)
+    b: int = InputField(default=0, description=FieldDescriptions.num_2)
 
     def invoke(self, context: InvocationContext) -> IntOutput:
         return IntOutput(a=self.a * self.b)
 
 
-class DivideInvocation(BaseInvocation, MathInvocationConfig):
+@title("Divide Integers")
+@tags("math")
+class DivideInvocation(BaseInvocation):
     """Divides two numbers"""
 
-    # fmt: off
     type: Literal["div"] = "div"
-    a: int = Field(default=0, description="The first number")
-    b: int = Field(default=0, description="The second number")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Divide", "tags": ["math", "divide"]},
-        }
+    # Inputs
+    a: int = InputField(default=0, description=FieldDescriptions.num_1)
+    b: int = InputField(default=0, description=FieldDescriptions.num_2)
 
     def invoke(self, context: InvocationContext) -> IntOutput:
         return IntOutput(a=int(self.a / self.b))
 
 
+@title("Random Integer")
+@tags("math")
 class RandomIntInvocation(BaseInvocation):
     """Outputs a single random integer."""
 
-    # fmt: off
     type: Literal["rand_int"] = "rand_int"
-    low: int = Field(default=0, description="The inclusive low value")
-    high: int = Field(
-        default=np.iinfo(np.int32).max, description="The exclusive high value"
-    )
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Random Integer", "tags": ["math", "random", "integer"]},
-        }
+    # Inputs
+    low: int = InputField(default=0, description="The inclusive low value")
+    high: int = InputField(default=np.iinfo(np.int32).max, description="The exclusive high value")
 
     def invoke(self, context: InvocationContext) -> IntOutput:
         return IntOutput(a=np.random.randint(self.low, self.high))
diff --git a/invokeai/app/invocations/metadata.py b/invokeai/app/invocations/metadata.py
index d0549f8539..b0e7c13d43 100644
--- a/invokeai/app/invocations/metadata.py
+++ b/invokeai/app/invocations/metadata.py
@@ -1,18 +1,21 @@
-from typing import Literal, Optional, Union
+from typing import Literal, Optional
 
 from pydantic import Field
 
-from ...version import __version__
 from invokeai.app.invocations.baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
-    InvocationConfig,
+    InputField,
     InvocationContext,
+    tags,
+    title,
 )
 from invokeai.app.invocations.controlnet_image_processors import ControlField
 from invokeai.app.invocations.model import LoRAModelField, MainModelField, VAEModelField
 from invokeai.app.util.model_exclude_null import BaseModelExcludeNull
 
+from ...version import __version__
+
 
 class LoRAMetadataField(BaseModelExcludeNull):
     """LoRA metadata for an image generated in InvokeAI."""
@@ -43,37 +46,37 @@ class CoreMetadata(BaseModelExcludeNull):
     model: MainModelField = Field(description="The main model used for inference")
     controlnets: list[ControlField] = Field(description="The ControlNets used for inference")
     loras: list[LoRAMetadataField] = Field(description="The LoRAs used for inference")
-    vae: Union[VAEModelField, None] = Field(
+    vae: Optional[VAEModelField] = Field(
         default=None,
         description="The VAE used for decoding, if the main model's default was not used",
     )
 
     # Latents-to-Latents
-    strength: Union[float, None] = Field(
+    strength: Optional[float] = Field(
         default=None,
         description="The strength used for latents-to-latents",
     )
-    init_image: Union[str, None] = Field(default=None, description="The name of the initial image")
+    init_image: Optional[str] = Field(default=None, description="The name of the initial image")
 
     # SDXL
-    positive_style_prompt: Union[str, None] = Field(default=None, description="The positive style prompt parameter")
-    negative_style_prompt: Union[str, None] = Field(default=None, description="The negative style prompt parameter")
+    positive_style_prompt: Optional[str] = Field(default=None, description="The positive style prompt parameter")
+    negative_style_prompt: Optional[str] = Field(default=None, description="The negative style prompt parameter")
 
     # SDXL Refiner
-    refiner_model: Union[MainModelField, None] = Field(default=None, description="The SDXL Refiner model used")
-    refiner_cfg_scale: Union[float, None] = Field(
+    refiner_model: Optional[MainModelField] = Field(default=None, description="The SDXL Refiner model used")
+    refiner_cfg_scale: Optional[float] = Field(
         default=None,
         description="The classifier-free guidance scale parameter used for the refiner",
     )
-    refiner_steps: Union[int, None] = Field(default=None, description="The number of steps used for the refiner")
-    refiner_scheduler: Union[str, None] = Field(default=None, description="The scheduler used for the refiner")
-    refiner_positive_aesthetic_store: Union[float, None] = Field(
+    refiner_steps: Optional[int] = Field(default=None, description="The number of steps used for the refiner")
+    refiner_scheduler: Optional[str] = Field(default=None, description="The scheduler used for the refiner")
+    refiner_positive_aesthetic_store: Optional[float] = Field(
         default=None, description="The aesthetic score used for the refiner"
     )
-    refiner_negative_aesthetic_store: Union[float, None] = Field(
+    refiner_negative_aesthetic_store: Optional[float] = Field(
         default=None, description="The aesthetic score used for the refiner"
     )
-    refiner_start: Union[float, None] = Field(default=None, description="The start value used for refiner denoising")
+    refiner_start: Optional[float] = Field(default=None, description="The start value used for refiner denoising")
 
 
 class ImageMetadata(BaseModelExcludeNull):
@@ -94,66 +97,83 @@ class MetadataAccumulatorOutput(BaseInvocationOutput):
     metadata: CoreMetadata = Field(description="The core metadata for the image")
 
 
+@title("Metadata Accumulator")
+@tags("metadata")
 class MetadataAccumulatorInvocation(BaseInvocation):
     """Outputs a Core Metadata Object"""
 
     type: Literal["metadata_accumulator"] = "metadata_accumulator"
 
-    generation_mode: str = Field(
+    generation_mode: str = InputField(
         description="The generation mode that output this image",
     )
-    positive_prompt: str = Field(description="The positive prompt parameter")
-    negative_prompt: str = Field(description="The negative prompt parameter")
-    width: int = Field(description="The width parameter")
-    height: int = Field(description="The height parameter")
-    seed: int = Field(description="The seed used for noise generation")
-    rand_device: str = Field(description="The device used for random number generation")
-    cfg_scale: float = Field(description="The classifier-free guidance scale parameter")
-    steps: int = Field(description="The number of steps used for inference")
-    scheduler: str = Field(description="The scheduler used for inference")
-    clip_skip: int = Field(
+    positive_prompt: str = InputField(description="The positive prompt parameter")
+    negative_prompt: str = InputField(description="The negative prompt parameter")
+    width: int = InputField(description="The width parameter")
+    height: int = InputField(description="The height parameter")
+    seed: int = InputField(description="The seed used for noise generation")
+    rand_device: str = InputField(description="The device used for random number generation")
+    cfg_scale: float = InputField(description="The classifier-free guidance scale parameter")
+    steps: int = InputField(description="The number of steps used for inference")
+    scheduler: str = InputField(description="The scheduler used for inference")
+    clip_skip: int = InputField(
         description="The number of skipped CLIP layers",
     )
-    model: MainModelField = Field(description="The main model used for inference")
-    controlnets: list[ControlField] = Field(description="The ControlNets used for inference")
-    loras: list[LoRAMetadataField] = Field(description="The LoRAs used for inference")
-    strength: Union[float, None] = Field(
+    model: MainModelField = InputField(description="The main model used for inference")
+    controlnets: list[ControlField] = InputField(description="The ControlNets used for inference")
+    loras: list[LoRAMetadataField] = InputField(description="The LoRAs used for inference")
+    strength: Optional[float] = InputField(
         default=None,
         description="The strength used for latents-to-latents",
     )
-    init_image: Union[str, None] = Field(default=None, description="The name of the initial image")
-    vae: Union[VAEModelField, None] = Field(
+    init_image: Optional[str] = InputField(
+        default=None,
+        description="The name of the initial image",
+    )
+    vae: Optional[VAEModelField] = InputField(
         default=None,
         description="The VAE used for decoding, if the main model's default was not used",
     )
 
     # SDXL
-    positive_style_prompt: Union[str, None] = Field(default=None, description="The positive style prompt parameter")
-    negative_style_prompt: Union[str, None] = Field(default=None, description="The negative style prompt parameter")
+    positive_style_prompt: Optional[str] = InputField(
+        default=None,
+        description="The positive style prompt parameter",
+    )
+    negative_style_prompt: Optional[str] = InputField(
+        default=None,
+        description="The negative style prompt parameter",
+    )
 
     # SDXL Refiner
-    refiner_model: Union[MainModelField, None] = Field(default=None, description="The SDXL Refiner model used")
-    refiner_cfg_scale: Union[float, None] = Field(
+    refiner_model: Optional[MainModelField] = InputField(
+        default=None,
+        description="The SDXL Refiner model used",
+    )
+    refiner_cfg_scale: Optional[float] = InputField(
         default=None,
         description="The classifier-free guidance scale parameter used for the refiner",
     )
-    refiner_steps: Union[int, None] = Field(default=None, description="The number of steps used for the refiner")
-    refiner_scheduler: Union[str, None] = Field(default=None, description="The scheduler used for the refiner")
-    refiner_positive_aesthetic_score: Union[float, None] = Field(
-        default=None, description="The aesthetic score used for the refiner"
+    refiner_steps: Optional[int] = InputField(
+        default=None,
+        description="The number of steps used for the refiner",
     )
-    refiner_negative_aesthetic_score: Union[float, None] = Field(
-        default=None, description="The aesthetic score used for the refiner"
+    refiner_scheduler: Optional[str] = InputField(
+        default=None,
+        description="The scheduler used for the refiner",
+    )
+    refiner_positive_aesthetic_store: Optional[float] = InputField(
+        default=None,
+        description="The aesthetic score used for the refiner",
+    )
+    refiner_negative_aesthetic_store: Optional[float] = InputField(
+        default=None,
+        description="The aesthetic score used for the refiner",
+    )
+    refiner_start: Optional[float] = InputField(
+        default=None,
+        description="The start value used for refiner denoising",
     )
-    refiner_start: Union[float, None] = Field(default=None, description="The start value used for refiner denoising")
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "Metadata Accumulator",
-                "tags": ["image", "metadata", "generation"],
-            },
-        }
 
     def invoke(self, context: InvocationContext) -> MetadataAccumulatorOutput:
         """Collects and outputs a CoreMetadata object"""
diff --git a/invokeai/app/invocations/model.py b/invokeai/app/invocations/model.py
index 0d21f8f0ce..de32a9948f 100644
--- a/invokeai/app/invocations/model.py
+++ b/invokeai/app/invocations/model.py
@@ -4,7 +4,18 @@ from typing import List, Literal, Optional, Union
 from pydantic import BaseModel, Field
 
 from ...backend.model_management import BaseModelType, ModelType, SubModelType
-from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext
+from .baseinvocation import (
+    BaseInvocation,
+    BaseInvocationOutput,
+    FieldDescriptions,
+    InputField,
+    Input,
+    InvocationContext,
+    OutputField,
+    UITypeHint,
+    tags,
+    title,
+)
 
 
 class ModelInfo(BaseModel):
@@ -39,13 +50,11 @@ class VaeField(BaseModel):
 class ModelLoaderOutput(BaseInvocationOutput):
     """Model loader output"""
 
-    # fmt: off
     type: Literal["model_loader_output"] = "model_loader_output"
 
-    unet: UNetField = Field(default=None, description="UNet submodel")
-    clip: ClipField = Field(default=None, description="Tokenizer and text_encoder submodels")
-    vae: VaeField = Field(default=None, description="Vae submodel")
-    # fmt: on
+    unet: UNetField = OutputField(description=FieldDescriptions.unet, title="UNet")
+    clip: ClipField = OutputField(description=FieldDescriptions.clip, title="CLIP")
+    vae: VaeField = OutputField(description=FieldDescriptions.vae, title="VAE")
 
 
 class MainModelField(BaseModel):
@@ -63,24 +72,17 @@ class LoRAModelField(BaseModel):
     base_model: BaseModelType = Field(description="Base model")
 
 
+@title("Main Model Loader")
+@tags("model")
 class MainModelLoaderInvocation(BaseInvocation):
     """Loads a main model, outputting its submodels."""
 
     type: Literal["main_model_loader"] = "main_model_loader"
 
-    model: MainModelField = Field(description="The model to load")
+    # Inputs
+    model: MainModelField = InputField(description=FieldDescriptions.main_model, input=Input.Direct)
     # TODO: precision?
 
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "Model Loader",
-                "tags": ["model", "loader"],
-                "type_hints": {"model": "model"},
-            },
-        }
-
     def invoke(self, context: InvocationContext) -> ModelLoaderOutput:
         base_model = self.model.base_model
         model_name = self.model.model_name
@@ -155,22 +157,6 @@ class MainModelLoaderInvocation(BaseInvocation):
                 loras=[],
                 skipped_layers=0,
             ),
-            clip2=ClipField(
-                tokenizer=ModelInfo(
-                    model_name=model_name,
-                    base_model=base_model,
-                    model_type=model_type,
-                    submodel=SubModelType.Tokenizer2,
-                ),
-                text_encoder=ModelInfo(
-                    model_name=model_name,
-                    base_model=base_model,
-                    model_type=model_type,
-                    submodel=SubModelType.TextEncoder2,
-                ),
-                loras=[],
-                skipped_layers=0,
-            ),
             vae=VaeField(
                 vae=ModelInfo(
                     model_name=model_name,
@@ -188,30 +174,27 @@ class LoraLoaderOutput(BaseInvocationOutput):
     # fmt: off
     type: Literal["lora_loader_output"] = "lora_loader_output"
 
-    unet: Optional[UNetField] = Field(default=None, description="UNet submodel")
-    clip: Optional[ClipField] = Field(default=None, description="Tokenizer and text_encoder submodels")
+    unet: Optional[UNetField] = OutputField(default=None, description=FieldDescriptions.unet, title="UNet")
+    clip: Optional[ClipField] = OutputField(default=None, description=FieldDescriptions.clip, title="CLIP")
     # fmt: on
 
 
+@title("LoRA Loader")
+@tags("lora", "model")
 class LoraLoaderInvocation(BaseInvocation):
     """Apply selected lora to unet and text_encoder."""
 
     type: Literal["lora_loader"] = "lora_loader"
 
-    lora: Union[LoRAModelField, None] = Field(default=None, description="Lora model name")
-    weight: float = Field(default=0.75, description="With what weight to apply lora")
-
-    unet: Optional[UNetField] = Field(description="UNet model for applying lora")
-    clip: Optional[ClipField] = Field(description="Clip model for applying lora")
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "Lora Loader",
-                "tags": ["lora", "loader"],
-                "type_hints": {"lora": "lora_model"},
-            },
-        }
+    # Inputs
+    lora: LoRAModelField = InputField(description=FieldDescriptions.lora_model, input=Input.Direct, title="LoRA")
+    weight: float = InputField(default=0.75, description=FieldDescriptions.lora_weight)
+    unet: Optional[UNetField] = InputField(
+        default=None, description=FieldDescriptions.unet, input=Input.Connection, title="UNet"
+    )
+    clip: Optional[ClipField] = InputField(
+        default=None, description=FieldDescriptions.clip, input=Input.Connection, title="CLIP"
+    )
 
     def invoke(self, context: InvocationContext) -> LoraLoaderOutput:
         if self.lora is None:
@@ -263,37 +246,35 @@ class LoraLoaderInvocation(BaseInvocation):
 
 
 class SDXLLoraLoaderOutput(BaseInvocationOutput):
-    """Model loader output"""
+    """SDXL LoRA Loader Output"""
 
     # fmt: off
     type: Literal["sdxl_lora_loader_output"] = "sdxl_lora_loader_output"
 
-    unet: Optional[UNetField] = Field(default=None, description="UNet submodel")
-    clip: Optional[ClipField] = Field(default=None, description="Tokenizer and text_encoder submodels")
-    clip2: Optional[ClipField] = Field(default=None, description="Tokenizer2 and text_encoder2 submodels")
+    unet: Optional[UNetField] = OutputField(default=None, description=FieldDescriptions.unet, title="UNet")
+    clip: Optional[ClipField] = OutputField(default=None, description=FieldDescriptions.clip, title="CLIP 1")
+    clip2: Optional[ClipField] = OutputField(default=None, description=FieldDescriptions.clip, title="CLIP 2")
     # fmt: on
 
 
+@title("SDXL LoRA Loader")
+@tags("sdxl", "lora", "model")
 class SDXLLoraLoaderInvocation(BaseInvocation):
     """Apply selected lora to unet and text_encoder."""
 
     type: Literal["sdxl_lora_loader"] = "sdxl_lora_loader"
 
-    lora: Union[LoRAModelField, None] = Field(default=None, description="Lora model name")
-    weight: float = Field(default=0.75, description="With what weight to apply lora")
-
-    unet: Optional[UNetField] = Field(description="UNet model for applying lora")
-    clip: Optional[ClipField] = Field(description="Clip model for applying lora")
-    clip2: Optional[ClipField] = Field(description="Clip2 model for applying lora")
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "SDXL Lora Loader",
-                "tags": ["lora", "loader"],
-                "type_hints": {"lora": "lora_model"},
-            },
-        }
+    lora: LoRAModelField = InputField(description=FieldDescriptions.lora_model, input=Input.Direct, title="LoRA")
+    weight: float = Field(default=0.75, description=FieldDescriptions.lora_weight)
+    unet: Optional[UNetField] = Field(
+        default=None, description=FieldDescriptions.unet, input=Input.Connection, title="UNET"
+    )
+    clip: Optional[ClipField] = Field(
+        default=None, description=FieldDescriptions.clip, input=Input.Connection, title="CLIP 1"
+    )
+    clip2: Optional[ClipField] = Field(
+        default=None, description=FieldDescriptions.clip, input=Input.Connection, title="CLIP 2"
+    )
 
     def invoke(self, context: InvocationContext) -> SDXLLoraLoaderOutput:
         if self.lora is None:
@@ -369,29 +350,23 @@ class VAEModelField(BaseModel):
 class VaeLoaderOutput(BaseInvocationOutput):
     """Model loader output"""
 
-    # fmt: off
     type: Literal["vae_loader_output"] = "vae_loader_output"
 
-    vae: VaeField = Field(default=None, description="Vae model")
-    # fmt: on
+    # Outputs
+    vae: VaeField = OutputField(description=FieldDescriptions.vae, title="VAE")
 
 
+@title("VAE Loader")
+@tags("vae", "model")
 class VaeLoaderInvocation(BaseInvocation):
     """Loads a VAE model, outputting a VaeLoaderOutput"""
 
     type: Literal["vae_loader"] = "vae_loader"
 
-    vae_model: VAEModelField = Field(description="The VAE to load")
-
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "VAE Loader",
-                "tags": ["vae", "loader"],
-                "type_hints": {"vae_model": "vae_model"},
-            },
-        }
+    # Inputs
+    vae_model: VAEModelField = InputField(
+        description=FieldDescriptions.vae_model, input=Input.Direct, ui_type_hint=UITypeHint.VaeModelField, title="VAE"
+    )
 
     def invoke(self, context: InvocationContext) -> VaeLoaderOutput:
         base_model = self.vae_model.base_model
diff --git a/invokeai/app/invocations/noise.py b/invokeai/app/invocations/noise.py
index db64e5b6e5..7049dad61a 100644
--- a/invokeai/app/invocations/noise.py
+++ b/invokeai/app/invocations/noise.py
@@ -1,19 +1,24 @@
 # Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654) & the InvokeAI Team
 
-import math
 from typing import Literal
 
-from pydantic import Field, validator
 import torch
-from invokeai.app.invocations.latent import LatentsField
+from pydantic import validator
 
+from invokeai.app.invocations.latent import LatentsField
 from invokeai.app.util.misc import SEED_MAX, get_random_seed
+
 from ...backend.util.devices import choose_torch_device, torch_dtype
 from .baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
-    InvocationConfig,
+    FieldDescriptions,
+    InputField,
     InvocationContext,
+    OutputField,
+    UITypeHint,
+    tags,
+    title,
 )
 
 """
@@ -61,14 +66,12 @@ Nodes
 class NoiseOutput(BaseInvocationOutput):
     """Invocation noise output"""
 
-    # fmt: off
-    type:  Literal["noise_output"] = "noise_output"
+    type: Literal["noise_output"] = "noise_output"
 
     # Inputs
-    noise: LatentsField            = Field(default=None, description="The output noise")
-    width:                     int = Field(description="The width of the noise in pixels")
-    height:                    int = Field(description="The height of the noise in pixels")
-    # fmt: on
+    noise: LatentsField = OutputField(default=None, description=FieldDescriptions.noise)
+    width: int = OutputField(description=FieldDescriptions.width)
+    height: int = OutputField(description=FieldDescriptions.height)
 
 
 def build_noise_output(latents_name: str, latents: torch.Tensor, seed: int):
@@ -79,44 +82,37 @@ def build_noise_output(latents_name: str, latents: torch.Tensor, seed: int):
     )
 
 
+@title("Noise")
+@tags("latents", "noise")
 class NoiseInvocation(BaseInvocation):
     """Generates latent noise."""
 
     type: Literal["noise"] = "noise"
 
     # Inputs
-    seed: int = Field(
+    seed: int = InputField(
         ge=0,
         le=SEED_MAX,
-        description="The seed to use",
+        description=FieldDescriptions.seed,
         default_factory=get_random_seed,
     )
-    width: int = Field(
+    width: int = InputField(
         default=512,
         multiple_of=8,
         gt=0,
-        description="The width of the resulting noise",
+        description=FieldDescriptions.width,
     )
-    height: int = Field(
+    height: int = InputField(
         default=512,
         multiple_of=8,
         gt=0,
-        description="The height of the resulting noise",
+        description=FieldDescriptions.height,
     )
-    use_cpu: bool = Field(
+    use_cpu: bool = InputField(
         default=True,
         description="Use CPU for noise generation (for reproducible results across platforms)",
     )
 
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "Noise",
-                "tags": ["latents", "noise"],
-            },
-        }
-
     @validator("seed", pre=True)
     def modulo_seed(cls, v):
         """Returns the seed modulo (SEED_MAX + 1) to ensure it is within the valid range."""
diff --git a/invokeai/app/invocations/onnx.py b/invokeai/app/invocations/onnx.py
index 4f04a4f023..cd73d35d78 100644
--- a/invokeai/app/invocations/onnx.py
+++ b/invokeai/app/invocations/onnx.py
@@ -1,37 +1,44 @@
 # Copyright (c) 2023 Borisov Sergey (https://github.com/StAlKeR7779)
 
+import inspect
+import re
 from contextlib import ExitStack
 from typing import List, Literal, Optional, Union
 
-import re
-import inspect
-
-from pydantic import BaseModel, Field, validator
-import torch
 import numpy as np
+import torch
 from diffusers import ControlNetModel, DPMSolverMultistepScheduler
 from diffusers.image_processor import VaeImageProcessor
 from diffusers.schedulers import SchedulerMixin as Scheduler
-
-from ..models.image import ImageCategory, ImageField, ResourceOrigin
-from ...backend.model_management import ONNXModelPatcher
-from ...backend.util import choose_torch_device
-from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext
-from .compel import ConditioningField
-from .controlnet_image_processors import ControlField
-from .image import ImageOutput
-from .model import ModelInfo, UNetField, VaeField
+from pydantic import BaseModel, Field, validator
+from tqdm import tqdm
 
 from invokeai.app.invocations.metadata import CoreMetadata
-from invokeai.backend import BaseModelType, ModelType, SubModelType
 from invokeai.app.util.step_callback import stable_diffusion_step_callback
+from invokeai.backend import BaseModelType, ModelType, SubModelType
+
+from ...backend.model_management import ONNXModelPatcher
 from ...backend.stable_diffusion import PipelineIntermediateState
-
-from tqdm import tqdm
-from .model import ClipField
-from .latent import LatentsField, LatentsOutput, build_latents_output, get_scheduler, SAMPLER_NAME_VALUES
-from .compel import CompelOutput
-
+from ...backend.util import choose_torch_device
+from ..models.image import ImageCategory, ImageField, ResourceOrigin
+from .baseinvocation import (
+    BaseInvocation,
+    BaseInvocationOutput,
+    FieldDescriptions,
+    InputField,
+    Input,
+    InvocationContext,
+    OutputField,
+    UIComponent,
+    UITypeHint,
+    tags,
+    title,
+)
+from .compel import CompelOutput, ConditioningField
+from .controlnet_image_processors import ControlField
+from .image import ImageOutput
+from .latent import SAMPLER_NAME_VALUES, LatentsField, LatentsOutput, build_latents_output, get_scheduler
+from .model import ClipField, ModelInfo, UNetField, VaeField
 
 ORT_TO_NP_TYPE = {
     "tensor(bool)": np.bool_,
@@ -51,11 +58,13 @@ ORT_TO_NP_TYPE = {
 PRECISION_VALUES = Literal[tuple(list(ORT_TO_NP_TYPE.keys()))]
 
 
+@title("ONNX Prompt (Raw)")
+@tags("onnx", "prompt")
 class ONNXPromptInvocation(BaseInvocation):
     type: Literal["prompt_onnx"] = "prompt_onnx"
 
-    prompt: str = Field(default="", description="Prompt")
-    clip: ClipField = Field(None, description="Clip to use")
+    prompt: str = InputField(default="", description=FieldDescriptions.raw_prompt, ui_component=UIComponent.Textarea)
+    clip: ClipField = InputField(description=FieldDescriptions.clip, input=Input.Connection)
 
     def invoke(self, context: InvocationContext) -> CompelOutput:
         tokenizer_info = context.services.model_manager.get_model(
@@ -134,25 +143,48 @@ class ONNXPromptInvocation(BaseInvocation):
 
 
 # Text to image
+@title("ONNX Text to Latents")
+@tags("latents", "inference", "txt2img", "onnx")
 class ONNXTextToLatentsInvocation(BaseInvocation):
     """Generates latents from conditionings."""
 
     type: Literal["t2l_onnx"] = "t2l_onnx"
 
     # Inputs
-    # fmt: off
-    positive_conditioning: Optional[ConditioningField] = Field(description="Positive conditioning for generation")
-    negative_conditioning: Optional[ConditioningField] = Field(description="Negative conditioning for generation")
-    noise: Optional[LatentsField] = Field(description="The noise to use")
-    steps:       int = Field(default=10, gt=0, description="The number of steps to use to generate the image")
-    cfg_scale: Union[float, List[float]] = Field(default=7.5, ge=1, description="The Classifier-Free Guidance, higher values may result in a result closer to the prompt", )
-    scheduler: SAMPLER_NAME_VALUES = Field(default="euler", description="The scheduler to use" )
-    precision: PRECISION_VALUES = Field(default = "tensor(float16)", description="The precision to use when generating latents")
-    unet: UNetField = Field(default=None, description="UNet submodel")
-    control: Union[ControlField, list[ControlField]] = Field(default=None, description="The control to use")
-    # seamless:   bool = Field(default=False, description="Whether or not to generate an image that can tile without seams", )
-    # seamless_axes: str = Field(default="", description="The axes to tile the image on, 'x' and/or 'y'")
-    # fmt: on
+    positive_conditioning: ConditioningField = InputField(
+        description=FieldDescriptions.positive_cond,
+        input=Input.Connection,
+    )
+    negative_conditioning: ConditioningField = InputField(
+        description=FieldDescriptions.negative_cond,
+        input=Input.Connection,
+    )
+    noise: LatentsField = InputField(
+        description=FieldDescriptions.noise,
+        input=Input.Connection,
+    )
+    steps: int = InputField(default=10, gt=0, description=FieldDescriptions.steps)
+    cfg_scale: Union[float, List[float]] = InputField(
+        default=7.5,
+        ge=1,
+        description=FieldDescriptions.cfg_scale,
+        ui_type_hint=UITypeHint.Float,
+    )
+    scheduler: SAMPLER_NAME_VALUES = InputField(
+        default="euler", description=FieldDescriptions.scheduler, input=Input.Direct
+    )
+    precision: PRECISION_VALUES = InputField(default="tensor(float16)", description=FieldDescriptions.precision)
+    unet: UNetField = InputField(
+        description=FieldDescriptions.unet,
+        input=Input.Connection,
+    )
+    control: Optional[Union[ControlField, list[ControlField]]] = InputField(
+        default=None,
+        description=FieldDescriptions.control,
+        ui_type_hint=UITypeHint.ControlField,
+    )
+    # seamless:   bool = InputField(default=False, description="Whether or not to generate an image that can tile without seams", )
+    # seamless_axes: str = InputField(default="", description="The axes to tile the image on, 'x' and/or 'y'")
 
     @validator("cfg_scale")
     def ge_one(cls, v):
@@ -166,20 +198,6 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
                 raise ValueError("cfg_scale must be greater than 1")
         return v
 
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "tags": ["latents"],
-                "type_hints": {
-                    "model": "model",
-                    "control": "control",
-                    # "cfg_scale": "float",
-                    "cfg_scale": "number",
-                },
-            },
-        }
-
     # based on
     # https://github.com/huggingface/diffusers/blob/3ebbaf7c96801271f9e6c21400033b6aa5ffcf29/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion.py#L375
     def invoke(self, context: InvocationContext) -> LatentsOutput:
@@ -300,26 +318,28 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
 
 
 # Latent to image
+@title("ONNX Latents to Image")
+@tags("latents", "image", "vae", "onnx")
 class ONNXLatentsToImageInvocation(BaseInvocation):
     """Generates an image from latents."""
 
     type: Literal["l2i_onnx"] = "l2i_onnx"
 
     # Inputs
-    latents: Optional[LatentsField] = Field(description="The latents to generate an image from")
-    vae: VaeField = Field(default=None, description="Vae submodel")
-    metadata: Optional[CoreMetadata] = Field(
-        default=None, description="Optional core metadata to be written to the image"
+    latents: LatentsField = InputField(
+        description=FieldDescriptions.denoised_latents,
+        input=Input.Connection,
     )
-    # tiled: bool = Field(default=False, description="Decode latents by overlaping tiles(less memory consumption)")
-
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "tags": ["latents", "image"],
-            },
-        }
+    vae: VaeField = InputField(
+        description=FieldDescriptions.vae,
+        input=Input.Connection,
+    )
+    metadata: Optional[CoreMetadata] = InputField(
+        default=None,
+        description=FieldDescriptions.core_metadata,
+        ui_hidden=True,
+    )
+    # tiled: bool = InputField(default=False, description="Decode latents by overlaping tiles(less memory consumption)")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         latents = context.services.latents.get(self.latents.latents_name)
@@ -373,89 +393,13 @@ class ONNXModelLoaderOutput(BaseInvocationOutput):
     # fmt: off
     type: Literal["model_loader_output_onnx"] = "model_loader_output_onnx"
 
-    unet: UNetField = Field(default=None, description="UNet submodel")
-    clip: ClipField = Field(default=None, description="Tokenizer and text_encoder submodels")
-    vae_decoder: VaeField = Field(default=None, description="Vae submodel")
-    vae_encoder: VaeField = Field(default=None, description="Vae submodel")
+    unet: UNetField = OutputField(default=None, description=FieldDescriptions.unet, title="UNet")
+    clip: ClipField = OutputField(default=None, description=FieldDescriptions.clip, title="CLIP")
+    vae_decoder: VaeField = OutputField(default=None, description=FieldDescriptions.vae, title="VAE Decoder")
+    vae_encoder: VaeField = OutputField(default=None, description=FieldDescriptions.vae, title="VAE Encoder")
     # fmt: on
 
 
-class ONNXSD1ModelLoaderInvocation(BaseInvocation):
-    """Loading submodels of selected model."""
-
-    type: Literal["sd1_model_loader_onnx"] = "sd1_model_loader_onnx"
-
-    model_name: str = Field(default="", description="Model to load")
-    # TODO: precision?
-
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"tags": ["model", "loader"], "type_hints": {"model_name": "model"}},  # TODO: rename to model_name?
-        }
-
-    def invoke(self, context: InvocationContext) -> ONNXModelLoaderOutput:
-        model_name = "stable-diffusion-v1-5"
-        base_model = BaseModelType.StableDiffusion1
-
-        # TODO: not found exceptions
-        if not context.services.model_manager.model_exists(
-            model_name=model_name,
-            base_model=BaseModelType.StableDiffusion1,
-            model_type=ModelType.ONNX,
-        ):
-            raise Exception(f"Unkown model name: {model_name}!")
-
-        return ONNXModelLoaderOutput(
-            unet=UNetField(
-                unet=ModelInfo(
-                    model_name=model_name,
-                    base_model=base_model,
-                    model_type=ModelType.ONNX,
-                    submodel=SubModelType.UNet,
-                ),
-                scheduler=ModelInfo(
-                    model_name=model_name,
-                    base_model=base_model,
-                    model_type=ModelType.ONNX,
-                    submodel=SubModelType.Scheduler,
-                ),
-                loras=[],
-            ),
-            clip=ClipField(
-                tokenizer=ModelInfo(
-                    model_name=model_name,
-                    base_model=base_model,
-                    model_type=ModelType.ONNX,
-                    submodel=SubModelType.Tokenizer,
-                ),
-                text_encoder=ModelInfo(
-                    model_name=model_name,
-                    base_model=base_model,
-                    model_type=ModelType.ONNX,
-                    submodel=SubModelType.TextEncoder,
-                ),
-                loras=[],
-            ),
-            vae_decoder=VaeField(
-                vae=ModelInfo(
-                    model_name=model_name,
-                    base_model=base_model,
-                    model_type=ModelType.ONNX,
-                    submodel=SubModelType.VaeDecoder,
-                ),
-            ),
-            vae_encoder=VaeField(
-                vae=ModelInfo(
-                    model_name=model_name,
-                    base_model=base_model,
-                    model_type=ModelType.ONNX,
-                    submodel=SubModelType.VaeEncoder,
-                ),
-            ),
-        )
-
-
 class OnnxModelField(BaseModel):
     """Onnx model field"""
 
@@ -464,22 +408,17 @@ class OnnxModelField(BaseModel):
     model_type: ModelType = Field(description="Model Type")
 
 
+@title("ONNX Model Loader")
+@tags("onnx", "model")
 class OnnxModelLoaderInvocation(BaseInvocation):
     """Loads a main model, outputting its submodels."""
 
     type: Literal["onnx_model_loader"] = "onnx_model_loader"
 
-    model: OnnxModelField = Field(description="The model to load")
-
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "Onnx Model Loader",
-                "tags": ["model", "loader"],
-                "type_hints": {"model": "model"},
-            },
-        }
+    # Inputs
+    model: OnnxModelField = InputField(
+        description=FieldDescriptions.onnx_main_model, input=Input.Direct, ui_type_hint=UITypeHint.ONNXModelField
+    )
 
     def invoke(self, context: InvocationContext) -> ONNXModelLoaderOutput:
         base_model = self.model.base_model
diff --git a/invokeai/app/invocations/param_easing.py b/invokeai/app/invocations/param_easing.py
index f910e5379c..d35dba5df3 100644
--- a/invokeai/app/invocations/param_easing.py
+++ b/invokeai/app/invocations/param_easing.py
@@ -1,73 +1,63 @@
 import io
-from typing import Literal, Optional, Any
+from typing import Literal, Optional
 
-# from PIL.Image import Image
-import PIL.Image
-from matplotlib.ticker import MaxNLocator
-from matplotlib.figure import Figure
-
-from pydantic import BaseModel, Field
-import numpy as np
 import matplotlib.pyplot as plt
+import numpy as np
 
+import PIL.Image
 from easing_functions import (
-    LinearInOut,
-    QuadEaseInOut,
-    QuadEaseIn,
-    QuadEaseOut,
-    CubicEaseInOut,
-    CubicEaseIn,
-    CubicEaseOut,
-    QuarticEaseInOut,
-    QuarticEaseIn,
-    QuarticEaseOut,
-    QuinticEaseInOut,
-    QuinticEaseIn,
-    QuinticEaseOut,
-    SineEaseInOut,
-    SineEaseIn,
-    SineEaseOut,
-    CircularEaseIn,
-    CircularEaseInOut,
-    CircularEaseOut,
-    ExponentialEaseInOut,
-    ExponentialEaseIn,
-    ExponentialEaseOut,
-    ElasticEaseIn,
-    ElasticEaseInOut,
-    ElasticEaseOut,
     BackEaseIn,
     BackEaseInOut,
     BackEaseOut,
     BounceEaseIn,
     BounceEaseInOut,
     BounceEaseOut,
+    CircularEaseIn,
+    CircularEaseInOut,
+    CircularEaseOut,
+    CubicEaseIn,
+    CubicEaseInOut,
+    CubicEaseOut,
+    ElasticEaseIn,
+    ElasticEaseInOut,
+    ElasticEaseOut,
+    ExponentialEaseIn,
+    ExponentialEaseInOut,
+    ExponentialEaseOut,
+    LinearInOut,
+    QuadEaseIn,
+    QuadEaseInOut,
+    QuadEaseOut,
+    QuarticEaseIn,
+    QuarticEaseInOut,
+    QuarticEaseOut,
+    QuinticEaseIn,
+    QuinticEaseInOut,
+    QuinticEaseOut,
+    SineEaseIn,
+    SineEaseInOut,
+    SineEaseOut,
 )
+from matplotlib.figure import Figure
+from matplotlib.ticker import MaxNLocator
+from pydantic import BaseModel, Field
 
-from .baseinvocation import (
-    BaseInvocation,
-    BaseInvocationOutput,
-    InvocationContext,
-    InvocationConfig,
-)
 from ...backend.util.logging import InvokeAILogger
+from .baseinvocation import BaseInvocation, InputField, InvocationContext, tags, title
 from .collections import FloatCollectionOutput
 
 
+@title("Float Range")
+@tags("math", "range")
 class FloatLinearRangeInvocation(BaseInvocation):
     """Creates a range"""
 
     type: Literal["float_range"] = "float_range"
 
     # Inputs
-    start: float = Field(default=5, description="The first value of the range")
-    stop: float = Field(default=10, description="The last value of the range")
-    steps: int = Field(default=30, description="number of values to interpolate over (including start and stop)")
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Linear Range (Float)", "tags": ["math", "float", "linear", "range"]},
-        }
+    start: float = InputField(default=5, description="The first value of the range")
+    stop: float = InputField(default=10, description="The last value of the range")
+    steps: int = InputField(default=30, description="number of values to interpolate over (including start and stop)")
 
     def invoke(self, context: InvocationContext) -> FloatCollectionOutput:
         param_list = list(np.linspace(self.start, self.stop, self.steps))
@@ -108,37 +98,32 @@ EASING_FUNCTIONS_MAP = {
     "BounceInOut": BounceEaseInOut,
 }
 
-EASING_FUNCTION_KEYS: Any = Literal[tuple(list(EASING_FUNCTIONS_MAP.keys()))]
+EASING_FUNCTION_KEYS = Literal[tuple(list(EASING_FUNCTIONS_MAP.keys()))]
 
 
 # actually I think for now could just use CollectionOutput (which is list[Any]
+@title("Step Param Easing")
+@tags("step", "easing")
 class StepParamEasingInvocation(BaseInvocation):
     """Experimental per-step parameter easing for denoising steps"""
 
     type: Literal["step_param_easing"] = "step_param_easing"
 
     # Inputs
-    # fmt: off
-    easing: EASING_FUNCTION_KEYS = Field(default="Linear", description="The easing function to use")
-    num_steps: int = Field(default=20, description="number of denoising steps")
-    start_value: float = Field(default=0.0, description="easing starting value")
-    end_value: float = Field(default=1.0, description="easing ending value")
-    start_step_percent: float = Field(default=0.0, description="fraction of steps at which to start easing")
-    end_step_percent: float = Field(default=1.0, description="fraction of steps after which to end easing")
+    easing: EASING_FUNCTION_KEYS = InputField(default="Linear", description="The easing function to use")
+    num_steps: int = InputField(default=20, description="number of denoising steps")
+    start_value: float = InputField(default=0.0, description="easing starting value")
+    end_value: float = InputField(default=1.0, description="easing ending value")
+    start_step_percent: float = InputField(default=0.0, description="fraction of steps at which to start easing")
+    end_step_percent: float = InputField(default=1.0, description="fraction of steps after which to end easing")
     # if None, then start_value is used prior to easing start
-    pre_start_value: Optional[float] = Field(default=None, description="value before easing start")
+    pre_start_value: Optional[float] = InputField(default=None, description="value before easing start")
     # if None, then end value is used prior to easing end
-    post_end_value: Optional[float] = Field(default=None, description="value after easing end")
-    mirror: bool = Field(default=False, description="include mirror of easing function")
+    post_end_value: Optional[float] = InputField(default=None, description="value after easing end")
+    mirror: bool = InputField(default=False, description="include mirror of easing function")
     # FIXME: add alt_mirror option (alternative to default or mirror), or remove entirely
-    # alt_mirror: bool = Field(default=False, description="alternative mirroring by dual easing")
-    show_easing_plot: bool = Field(default=False, description="show easing plot")
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Param Easing By Step", "tags": ["param", "step", "easing"]},
-        }
+    # alt_mirror: bool = InputField(default=False, description="alternative mirroring by dual easing")
+    show_easing_plot: bool = InputField(default=False, description="show easing plot")
 
     def invoke(self, context: InvocationContext) -> FloatCollectionOutput:
         log_diagnostics = False
diff --git a/invokeai/app/invocations/params.py b/invokeai/app/invocations/params.py
index 513eb8762f..27382d8f8d 100644
--- a/invokeai/app/invocations/params.py
+++ b/invokeai/app/invocations/params.py
@@ -2,82 +2,80 @@
 
 from typing import Literal
 
-from pydantic import Field
-
 from invokeai.app.invocations.prompt import PromptOutput
 
-from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext
+from .baseinvocation import (
+    BaseInvocation,
+    BaseInvocationOutput,
+    InputField,
+    InvocationContext,
+    OutputField,
+    tags,
+    title,
+)
 from .math import FloatOutput, IntOutput
 
 # Pass-through parameter nodes - used by subgraphs
 
 
+@title("Integer Parameter")
+@tags("integer")
 class ParamIntInvocation(BaseInvocation):
     """An integer parameter"""
 
-    # fmt: off
     type: Literal["param_int"] = "param_int"
-    a: int = Field(default=0, description="The integer value")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"tags": ["param", "integer"], "title": "Integer Parameter"},
-        }
+    # Inputs
+    a: int = InputField(default=0, description="The integer value")
 
     def invoke(self, context: InvocationContext) -> IntOutput:
         return IntOutput(a=self.a)
 
 
+@title("Float Parameter")
+@tags("float")
 class ParamFloatInvocation(BaseInvocation):
     """A float parameter"""
 
-    # fmt: off
     type: Literal["param_float"] = "param_float"
-    param: float = Field(default=0.0, description="The float value")
-    # fmt: on
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"tags": ["param", "float"], "title": "Float Parameter"},
-        }
+    # Inputs
+    param: float = InputField(default=0.0, description="The float value")
 
     def invoke(self, context: InvocationContext) -> FloatOutput:
-        return FloatOutput(param=self.param)
+        return FloatOutput(a=self.param)
 
 
 class StringOutput(BaseInvocationOutput):
     """A string output"""
 
     type: Literal["string_output"] = "string_output"
-    text: str = Field(default=None, description="The output string")
+    text: str = OutputField(description="The output string")
 
 
+@title("String Parameter")
+@tags("string")
 class ParamStringInvocation(BaseInvocation):
     """A string parameter"""
 
     type: Literal["param_string"] = "param_string"
-    text: str = Field(default="", description="The string value")
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"tags": ["param", "string"], "title": "String Parameter"},
-        }
+    # Inputs
+    text: str = InputField(default="", description="The string value")
 
     def invoke(self, context: InvocationContext) -> StringOutput:
         return StringOutput(text=self.text)
 
 
+@title("Prompt Parameter")
+@tags("prompt")
 class ParamPromptInvocation(BaseInvocation):
     """A prompt input parameter"""
 
     type: Literal["param_prompt"] = "param_prompt"
-    prompt: str = Field(default="", description="The prompt value")
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"tags": ["param", "prompt"], "title": "Prompt"},
-        }
+    # Inputs
+    prompt: str = InputField(default="", description="The prompt value")
 
     def invoke(self, context: InvocationContext) -> PromptOutput:
         return PromptOutput(prompt=self.prompt)
diff --git a/invokeai/app/invocations/prompt.py b/invokeai/app/invocations/prompt.py
index 83a397ddcf..57320c695c 100644
--- a/invokeai/app/invocations/prompt.py
+++ b/invokeai/app/invocations/prompt.py
@@ -2,56 +2,52 @@ from os.path import exists
 from typing import Literal, Optional
 
 import numpy as np
-from pydantic import Field, validator
+from pydantic import validator
 
-from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext
+from .baseinvocation import (
+    BaseInvocation,
+    BaseInvocationOutput,
+    InputField,
+    InvocationContext,
+    OutputField,
+    UIComponent,
+    UITypeHint,
+    title,
+    tags,
+)
 from dynamicprompts.generators import RandomPromptGenerator, CombinatorialPromptGenerator
 
 
 class PromptOutput(BaseInvocationOutput):
     """Base class for invocations that output a prompt"""
 
-    # fmt: off
     type: Literal["prompt"] = "prompt"
 
-    prompt: str = Field(default=None, description="The output prompt")
-    # fmt: on
-
-    class Config:
-        schema_extra = {
-            "required": [
-                "type",
-                "prompt",
-            ]
-        }
+    prompt: str = OutputField(description="The output prompt")
 
 
 class PromptCollectionOutput(BaseInvocationOutput):
     """Base class for invocations that output a collection of prompts"""
 
-    # fmt: off
     type: Literal["prompt_collection_output"] = "prompt_collection_output"
 
-    prompt_collection: list[str] = Field(description="The output prompt collection")
-    count: int = Field(description="The size of the prompt collection")
-    # fmt: on
-
-    class Config:
-        schema_extra = {"required": ["type", "prompt_collection", "count"]}
+    prompt_collection: list[str] = OutputField(
+        description="The output prompt collection", ui_type_hint=UITypeHint.StringCollection
+    )
+    count: int = OutputField(description="The size of the prompt collection")
 
 
+@title("Dynamic Prompt")
+@tags("prompt", "collection")
 class DynamicPromptInvocation(BaseInvocation):
     """Parses a prompt using adieyal/dynamicprompts' random or combinatorial generator"""
 
     type: Literal["dynamic_prompt"] = "dynamic_prompt"
-    prompt: str = Field(description="The prompt to parse with dynamicprompts")
-    max_prompts: int = Field(default=1, description="The number of prompts to generate")
-    combinatorial: bool = Field(default=False, description="Whether to use the combinatorial generator")
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Dynamic Prompt", "tags": ["prompt", "dynamic"]},
-        }
+    # Inputs
+    prompt: str = InputField(description="The prompt to parse with dynamicprompts", ui_component=UIComponent.Textarea)
+    max_prompts: int = InputField(default=1, description="The number of prompts to generate")
+    combinatorial: bool = InputField(default=False, description="Whether to use the combinatorial generator")
 
     def invoke(self, context: InvocationContext) -> PromptCollectionOutput:
         if self.combinatorial:
@@ -64,24 +60,23 @@ class DynamicPromptInvocation(BaseInvocation):
         return PromptCollectionOutput(prompt_collection=prompts, count=len(prompts))
 
 
+@title("Prompts from File")
+@tags("prompt", "file")
 class PromptsFromFileInvocation(BaseInvocation):
     """Loads prompts from a text file"""
 
-    # fmt: off
-    type: Literal['prompt_from_file'] = 'prompt_from_file'
+    type: Literal["prompt_from_file"] = "prompt_from_file"
 
     # Inputs
-    file_path: str = Field(description="Path to prompt text file")
-    pre_prompt: Optional[str] = Field(description="String to prepend to each prompt")
-    post_prompt: Optional[str] = Field(description="String to append to each prompt")
-    start_line: int = Field(default=1, ge=1, description="Line in the file to start start from")
-    max_prompts: int = Field(default=1, ge=0, description="Max lines to read from file (0=all)")
-    # fmt: on
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Prompts From File", "tags": ["prompt", "file"]},
-        }
+    file_path: str = InputField(description="Path to prompt text file", ui_type_hint=UITypeHint.FilePath)
+    pre_prompt: Optional[str] = InputField(
+        description="String to prepend to each prompt", ui_component=UIComponent.Textarea
+    )
+    post_prompt: Optional[str] = InputField(
+        description="String to append to each prompt", ui_component=UIComponent.Textarea
+    )
+    start_line: int = InputField(default=1, ge=1, description="Line in the file to start start from")
+    max_prompts: int = InputField(default=1, ge=0, description="Max lines to read from file (0=all)")
 
     @validator("file_path")
     def file_path_exists(cls, v):
diff --git a/invokeai/app/invocations/sdxl.py b/invokeai/app/invocations/sdxl.py
index a5a1c2c641..d25a37327e 100644
--- a/invokeai/app/invocations/sdxl.py
+++ b/invokeai/app/invocations/sdxl.py
@@ -1,55 +1,55 @@
-import torch
 from typing import Literal
-from pydantic import Field
 
 from ...backend.model_management import ModelType, SubModelType
-from .baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationConfig, InvocationContext
-from .model import UNetField, ClipField, VaeField, MainModelField, ModelInfo
+from .baseinvocation import (
+    BaseInvocation,
+    BaseInvocationOutput,
+    FieldDescriptions,
+    Input,
+    InputField,
+    InvocationContext,
+    OutputField,
+    UITypeHint,
+    tags,
+    title,
+)
+from .model import ClipField, MainModelField, ModelInfo, UNetField, VaeField
 
 
 class SDXLModelLoaderOutput(BaseInvocationOutput):
     """SDXL base model loader output"""
 
-    # fmt: off
     type: Literal["sdxl_model_loader_output"] = "sdxl_model_loader_output"
 
-    unet: UNetField = Field(default=None, description="UNet submodel")
-    clip: ClipField = Field(default=None, description="Tokenizer and text_encoder submodels")
-    clip2: ClipField = Field(default=None, description="Tokenizer and text_encoder submodels")
-    vae: VaeField = Field(default=None, description="Vae submodel")
-    # fmt: on
+    unet: UNetField = OutputField(description=FieldDescriptions.unet, title="UNet")
+    clip: ClipField = OutputField(description=FieldDescriptions.clip, title="CLIP 1")
+    clip2: ClipField = OutputField(description=FieldDescriptions.clip, title="CLIP 2")
+    vae: VaeField = OutputField(description=FieldDescriptions.vae, title="VAE")
 
 
 class SDXLRefinerModelLoaderOutput(BaseInvocationOutput):
     """SDXL refiner model loader output"""
 
-    # fmt: off
     type: Literal["sdxl_refiner_model_loader_output"] = "sdxl_refiner_model_loader_output"
-    unet: UNetField = Field(default=None, description="UNet submodel")
-    clip2: ClipField = Field(default=None, description="Tokenizer and text_encoder submodels")
-    vae: VaeField = Field(default=None, description="Vae submodel")
-    # fmt: on
-    # fmt: on
+
+    unet: UNetField = OutputField(description=FieldDescriptions.unet, title="UNet")
+    clip2: ClipField = OutputField(description=FieldDescriptions.clip, title="CLIP 2")
+    vae: VaeField = OutputField(description=FieldDescriptions.vae, title="VAE")
 
 
+@title("SDXL Main Model Loader")
+@tags("model", "sdxl")
 class SDXLModelLoaderInvocation(BaseInvocation):
     """Loads an sdxl base model, outputting its submodels."""
 
     type: Literal["sdxl_model_loader"] = "sdxl_model_loader"
 
-    model: MainModelField = Field(description="The model to load")
+    # Inputs
+    model: MainModelField = InputField(
+        description=FieldDescriptions.sdxl_main_model, input=Input.Direct, ui_type_hint=UITypeHint.SDXLMainModelField
+    )
     # TODO: precision?
 
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "SDXL Model Loader",
-                "tags": ["model", "loader", "sdxl"],
-                "type_hints": {"model": "model"},
-            },
-        }
-
     def invoke(self, context: InvocationContext) -> SDXLModelLoaderOutput:
         base_model = self.model.base_model
         model_name = self.model.model_name
@@ -122,24 +122,21 @@ class SDXLModelLoaderInvocation(BaseInvocation):
         )
 
 
+@title("SDXL Refiner Model Loader")
+@tags("model", "sdxl", "refiner")
 class SDXLRefinerModelLoaderInvocation(BaseInvocation):
     """Loads an sdxl refiner model, outputting its submodels."""
 
     type: Literal["sdxl_refiner_model_loader"] = "sdxl_refiner_model_loader"
 
-    model: MainModelField = Field(description="The model to load")
+    # Inputs
+    model: MainModelField = InputField(
+        description=FieldDescriptions.sdxl_refiner_model,
+        input=Input.Direct,
+        ui_type_hint=UITypeHint.SDXLRefinerModelField,
+    )
     # TODO: precision?
 
-    # Schema customisation
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "title": "SDXL Refiner Model Loader",
-                "tags": ["model", "loader", "sdxl_refiner"],
-                "type_hints": {"model": "refiner_model"},
-            },
-        }
-
     def invoke(self, context: InvocationContext) -> SDXLRefinerModelLoaderOutput:
         base_model = self.model.base_model
         model_name = self.model.model_name
diff --git a/invokeai/app/invocations/upscale.py b/invokeai/app/invocations/upscale.py
index fd220223db..4e9c9fac2f 100644
--- a/invokeai/app/invocations/upscale.py
+++ b/invokeai/app/invocations/upscale.py
@@ -6,12 +6,11 @@ import cv2 as cv
 import numpy as np
 from basicsr.archs.rrdbnet_arch import RRDBNet
 from PIL import Image
-from pydantic import Field
 from realesrgan import RealESRGANer
 
 from invokeai.app.models.image import ImageCategory, ImageField, ResourceOrigin
 
-from .baseinvocation import BaseInvocation, InvocationConfig, InvocationContext
+from .baseinvocation import BaseInvocation, InputField, InvocationContext, title, tags
 from .image import ImageOutput
 
 # TODO: Populate this from disk?
@@ -24,17 +23,16 @@ ESRGAN_MODELS = Literal[
 ]
 
 
+@title("Upscale (RealESRGAN)")
+@tags("esrgan", "upscale")
 class ESRGANInvocation(BaseInvocation):
     """Upscales an image using RealESRGAN."""
 
     type: Literal["esrgan"] = "esrgan"
-    image: Union[ImageField, None] = Field(default=None, description="The input image")
-    model_name: ESRGAN_MODELS = Field(default="RealESRGAN_x4plus.pth", description="The Real-ESRGAN model to use")
 
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {"title": "Upscale (RealESRGAN)", "tags": ["image", "upscale", "realesrgan"]},
-        }
+    # Inputs
+    image: ImageField = InputField(description="The input image")
+    model_name: ESRGAN_MODELS = InputField(default="RealESRGAN_x4plus.pth", description="The Real-ESRGAN model to use")
 
     def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
diff --git a/invokeai/app/models/image.py b/invokeai/app/models/image.py
index 2a5a0f9d3b..3a34a7d6da 100644
--- a/invokeai/app/models/image.py
+++ b/invokeai/app/models/image.py
@@ -5,14 +5,13 @@ from pydantic import BaseModel, Field
 from invokeai.app.util.metaenum import MetaEnum
 from ..invocations.baseinvocation import (
     BaseInvocationOutput,
-    InvocationConfig,
 )
 
 
 class ImageField(BaseModel):
     """An image field used for passing image objects between invocations"""
 
-    image_name: Optional[str] = Field(default=None, description="The name of the image")
+    image_name: str = Field(description="The name of the image")
 
     class Config:
         schema_extra = {"required": ["image_name"]}
@@ -36,17 +35,6 @@ class ProgressImage(BaseModel):
     dataURL: str = Field(description="The image data as a b64 data URL")
 
 
-class PILInvocationConfig(BaseModel):
-    """Helper class to provide all PIL invocations with additional config"""
-
-    class Config(InvocationConfig):
-        schema_extra = {
-            "ui": {
-                "tags": ["PIL", "image"],
-            },
-        }
-
-
 class ImageOutput(BaseInvocationOutput):
     """Base class for invocations that output an image"""
 
diff --git a/invokeai/app/services/graph.py b/invokeai/app/services/graph.py
index d7f021df14..5dacfe1ec1 100644
--- a/invokeai/app/services/graph.py
+++ b/invokeai/app/services/graph.py
@@ -3,16 +3,7 @@
 import copy
 import itertools
 import uuid
-from typing import (
-    Annotated,
-    Any,
-    Literal,
-    Optional,
-    Union,
-    get_args,
-    get_origin,
-    get_type_hints,
-)
+from typing import Annotated, Any, Literal, Optional, Union, get_args, get_origin, get_type_hints
 
 import networkx as nx
 from pydantic import BaseModel, root_validator, validator
@@ -22,7 +13,11 @@ from ..invocations import *
 from ..invocations.baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
+    Input,
+    InputField,
     InvocationContext,
+    OutputField,
+    UITypeHint,
 )
 
 # in 3.10 this would be "from types import NoneType"
@@ -183,15 +178,9 @@ class IterateInvocationOutput(BaseInvocationOutput):
 
     type: Literal["iterate_output"] = "iterate_output"
 
-    item: Any = Field(description="The item being iterated over")
-
-    class Config:
-        schema_extra = {
-            "required": [
-                "type",
-                "item",
-            ]
-        }
+    item: Any = OutputField(
+        description="The item being iterated over", title="Collection Item", ui_type_hint=UITypeHint.CollectionItem
+    )
 
 
 # TODO: Fill this out and move to invocations
@@ -200,8 +189,10 @@ class IterateInvocation(BaseInvocation):
 
     type: Literal["iterate"] = "iterate"
 
-    collection: list[Any] = Field(description="The list of items to iterate over", default_factory=list)
-    index: int = Field(description="The index, will be provided on executed iterators", default=0)
+    collection: list[Any] = InputField(
+        description="The list of items to iterate over", default_factory=list, ui_type_hint=UITypeHint.Collection
+    )
+    index: int = InputField(description="The index, will be provided on executed iterators", default=0, ui_hidden=True)
 
     def invoke(self, context: InvocationContext) -> IterateInvocationOutput:
         """Produces the outputs as values"""
@@ -211,15 +202,9 @@ class IterateInvocation(BaseInvocation):
 class CollectInvocationOutput(BaseInvocationOutput):
     type: Literal["collect_output"] = "collect_output"
 
-    collection: list[Any] = Field(description="The collection of input items")
-
-    class Config:
-        schema_extra = {
-            "required": [
-                "type",
-                "collection",
-            ]
-        }
+    collection: list[Any] = OutputField(
+        description="The collection of input items", title="Collection", ui_type_hint=UITypeHint.Collection
+    )
 
 
 class CollectInvocation(BaseInvocation):
@@ -227,13 +212,14 @@ class CollectInvocation(BaseInvocation):
 
     type: Literal["collect"] = "collect"
 
-    item: Any = Field(
+    item: Any = InputField(
         description="The item to collect (all inputs must be of the same type)",
-        default=None,
+        ui_type_hint=UITypeHint.CollectionItem,
+        title="Collection Item",
+        input=Input.Connection,
     )
-    collection: list[Any] = Field(
-        description="The collection, will be provided on execution",
-        default_factory=list,
+    collection: list[Any] = InputField(
+        description="The collection, will be provided on execution", default_factory=list, ui_hidden=True
     )
 
     def invoke(self, context: InvocationContext) -> CollectInvocationOutput:
diff --git a/invokeai/app/services/processor.py b/invokeai/app/services/processor.py
index 41170a304b..b8c2f93e93 100644
--- a/invokeai/app/services/processor.py
+++ b/invokeai/app/services/processor.py
@@ -87,7 +87,10 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                 # Invoke
                 try:
                     with statistics.collect_stats(invocation, graph_execution_state.id):
-                        outputs = invocation.invoke(
+                        # use the internal invoke_internal(), which wraps the node's invoke() method in
+                        # this accomodates nodes which require a value, but get it only from a
+                        # connection
+                        outputs = invocation.invoke_internal(
                             InvocationContext(
                                 services=self.__invoker.services,
                                 graph_execution_state_id=graph_execution_state.id,
diff --git a/invokeai/app/services/sqlite.py b/invokeai/app/services/sqlite.py
index 855f3f1939..3c46b1c2a0 100644
--- a/invokeai/app/services/sqlite.py
+++ b/invokeai/app/services/sqlite.py
@@ -49,7 +49,8 @@ class SqliteItemStorage(ItemStorageABC, Generic[T]):
 
     def _parse_item(self, item: str) -> T:
         item_type = get_args(self.__orig_class__)[0]
-        return parse_raw_as(item_type, item)
+        parsed = parse_raw_as(item_type, item)
+        return parsed
 
     def set(self, item: T):
         try:
diff --git a/invokeai/frontend/web/package.json b/invokeai/frontend/web/package.json
index 8cc2c158be..6c9db74bbc 100644
--- a/invokeai/frontend/web/package.json
+++ b/invokeai/frontend/web/package.json
@@ -61,6 +61,7 @@
     "@dagrejs/graphlib": "^2.1.13",
     "@dnd-kit/core": "^6.0.8",
     "@dnd-kit/modifiers": "^6.0.1",
+    "@dnd-kit/utilities": "^3.2.1",
     "@emotion/react": "^11.11.1",
     "@emotion/styled": "^11.11.0",
     "@floating-ui/react-dom": "^2.0.1",
diff --git a/invokeai/frontend/web/scripts/colors.js b/invokeai/frontend/web/scripts/colors.js
new file mode 100644
index 0000000000..3fc8f8d751
--- /dev/null
+++ b/invokeai/frontend/web/scripts/colors.js
@@ -0,0 +1,34 @@
+export const COLORS = {
+  reset: '\x1b[0m',
+  bright: '\x1b[1m',
+  dim: '\x1b[2m',
+  underscore: '\x1b[4m',
+  blink: '\x1b[5m',
+  reverse: '\x1b[7m',
+  hidden: '\x1b[8m',
+
+  fg: {
+    black: '\x1b[30m',
+    red: '\x1b[31m',
+    green: '\x1b[32m',
+    yellow: '\x1b[33m',
+    blue: '\x1b[34m',
+    magenta: '\x1b[35m',
+    cyan: '\x1b[36m',
+    white: '\x1b[37m',
+    gray: '\x1b[90m',
+    crimson: '\x1b[38m',
+  },
+  bg: {
+    black: '\x1b[40m',
+    red: '\x1b[41m',
+    green: '\x1b[42m',
+    yellow: '\x1b[43m',
+    blue: '\x1b[44m',
+    magenta: '\x1b[45m',
+    cyan: '\x1b[46m',
+    white: '\x1b[47m',
+    gray: '\x1b[100m',
+    crimson: '\x1b[48m',
+  },
+};
diff --git a/invokeai/frontend/web/scripts/typegen.js b/invokeai/frontend/web/scripts/typegen.js
index ec67c48f2d..d105917e66 100644
--- a/invokeai/frontend/web/scripts/typegen.js
+++ b/invokeai/frontend/web/scripts/typegen.js
@@ -1,23 +1,83 @@
 import fs from 'node:fs';
 import openapiTS from 'openapi-typescript';
+import { COLORS } from './colors.js';
 
 const OPENAPI_URL = 'http://127.0.0.1:9090/openapi.json';
 const OUTPUT_FILE = 'src/services/api/schema.d.ts';
 
 async function main() {
   process.stdout.write(
-    `Generating types "${OPENAPI_URL}" --> "${OUTPUT_FILE}"...`
+    `Generating types "${OPENAPI_URL}" --> "${OUTPUT_FILE}"...\n\n`
   );
   const types = await openapiTS(OPENAPI_URL, {
     exportType: true,
-    transform: (schemaObject) => {
+    transform: (schemaObject, metadata) => {
       if ('format' in schemaObject && schemaObject.format === 'binary') {
         return schemaObject.nullable ? 'Blob | null' : 'Blob';
       }
+
+      /**
+       * Because invocations may have required fields that accept connection input, the generated
+       * types may be incorrect.
+       *
+       * For example, the ImageResizeInvocation has a required `image` field, but because it accepts
+       * connection input, it should be optional on instantiation of the field.
+       *
+       * To handle this, the schema exposes an `input` property that can be used to determine if the
+       * field accepts connection input. If it does, we can make the field optional.
+       */
+
+      // Check if we are generating types for an invocation
+      const isInvocationPath = metadata.path.match(
+        /^#\/components\/schemas\/\w*Invocation$/
+      );
+
+      const hasInvocationProperties =
+        schemaObject.properties &&
+        ['id', 'is_intermediate', 'type'].every(
+          (prop) => prop in schemaObject.properties
+        );
+
+      if (isInvocationPath && hasInvocationProperties) {
+        // We only want to make fields optional if they are required
+        if (!Array.isArray(schemaObject?.required)) {
+          schemaObject.required = ['id', 'type'];
+          return;
+        }
+
+        schemaObject.required.forEach((prop) => {
+          const acceptsConnection = ['any', 'connection'].includes(
+            schemaObject.properties?.[prop]?.['input']
+          );
+
+          if (acceptsConnection) {
+            // remove this prop from the required array
+            const invocationName = metadata.path.split('/').pop();
+            console.log(
+              `Making connectable field optional: ${COLORS.fg.green}${invocationName}.${COLORS.fg.cyan}${prop}${COLORS.reset}`
+            );
+            schemaObject.required = schemaObject.required.filter(
+              (r) => r !== prop
+            );
+          }
+        });
+
+        schemaObject.required = [
+          ...new Set(schemaObject.required.concat(['id', 'type'])),
+        ];
+
+        return;
+      }
+      // if (
+      //   'input' in schemaObject &&
+      //   (schemaObject.input === 'any' || schemaObject.input === 'connection')
+      // ) {
+      //   schemaObject.required = false;
+      // }
     },
   });
   fs.writeFileSync(OUTPUT_FILE, types);
-  process.stdout.write(` OK!\r\n`);
+  process.stdout.write(`\nOK!\r\n`);
 }
 
 main();
diff --git a/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts b/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts
index 9827e7f2b3..bbe77dc698 100644
--- a/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts
+++ b/invokeai/frontend/web/src/app/components/GlobalHotkeys.ts
@@ -1,8 +1,12 @@
 import { createSelector } from '@reduxjs/toolkit';
-import { RootState } from 'app/store/store';
+import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { requestCanvasRescale } from 'features/canvas/store/thunks/requestCanvasScale';
-import { shiftKeyPressed } from 'features/ui/store/hotkeysSlice';
+import {
+  ctrlKeyPressed,
+  metaKeyPressed,
+  shiftKeyPressed,
+} from 'features/ui/store/hotkeysSlice';
 import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
 import {
   setActiveTab,
@@ -16,11 +20,11 @@ import React, { memo } from 'react';
 import { isHotkeyPressed, useHotkeys } from 'react-hotkeys-hook';
 
 const globalHotkeysSelector = createSelector(
-  [(state: RootState) => state.hotkeys, (state: RootState) => state.ui],
-  (hotkeys, ui) => {
-    const { shift } = hotkeys;
+  [stateSelector],
+  ({ hotkeys, ui }) => {
+    const { shift, ctrl, meta } = hotkeys;
     const { shouldPinParametersPanel, shouldPinGallery } = ui;
-    return { shift, shouldPinGallery, shouldPinParametersPanel };
+    return { shift, ctrl, meta, shouldPinGallery, shouldPinParametersPanel };
   },
   {
     memoizeOptions: {
@@ -37,9 +41,8 @@ const globalHotkeysSelector = createSelector(
  */
 const GlobalHotkeys: React.FC = () => {
   const dispatch = useAppDispatch();
-  const { shift, shouldPinParametersPanel, shouldPinGallery } = useAppSelector(
-    globalHotkeysSelector
-  );
+  const { shift, ctrl, meta, shouldPinParametersPanel, shouldPinGallery } =
+    useAppSelector(globalHotkeysSelector);
   const activeTabName = useAppSelector(activeTabNameSelector);
 
   useHotkeys(
@@ -50,9 +53,19 @@ const GlobalHotkeys: React.FC = () => {
       } else {
         shift && dispatch(shiftKeyPressed(false));
       }
+      if (isHotkeyPressed('ctrl')) {
+        !ctrl && dispatch(ctrlKeyPressed(true));
+      } else {
+        ctrl && dispatch(ctrlKeyPressed(false));
+      }
+      if (isHotkeyPressed('meta')) {
+        !meta && dispatch(metaKeyPressed(true));
+      } else {
+        meta && dispatch(metaKeyPressed(false));
+      }
     },
     { keyup: true, keydown: true },
-    [shift]
+    [shift, ctrl, meta]
   );
 
   useHotkeys('o', () => {
diff --git a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
index 93b7825db7..7e2ed7f571 100644
--- a/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
+++ b/invokeai/frontend/web/src/app/components/InvokeAIUI.tsx
@@ -14,7 +14,7 @@ import { $authToken, $baseUrl, $projectId } from 'services/api/client';
 import { socketMiddleware } from 'services/events/middleware';
 import Loading from '../../common/components/Loading/Loading';
 import '../../i18n';
-import ImageDndContext from './ImageDnd/ImageDndContext';
+import AppDndContext from '../../features/dnd/components/AppDndContext';
 
 const App = lazy(() => import('./App'));
 const ThemeLocaleProvider = lazy(() => import('./ThemeLocaleProvider'));
@@ -80,9 +80,9 @@ const InvokeAIUI = ({
       <Provider store={store}>
         <React.Suspense fallback={<Loading />}>
           <ThemeLocaleProvider>
-            <ImageDndContext>
+            <AppDndContext>
               <App config={config} headerComponent={headerComponent} />
-            </ImageDndContext>
+            </AppDndContext>
           </ThemeLocaleProvider>
         </React.Suspense>
       </Provider>
diff --git a/invokeai/frontend/web/src/app/logging/logger.ts b/invokeai/frontend/web/src/app/logging/logger.ts
index ef27c98d1f..7797b8dc92 100644
--- a/invokeai/frontend/web/src/app/logging/logger.ts
+++ b/invokeai/frontend/web/src/app/logging/logger.ts
@@ -19,7 +19,8 @@ type LoggerNamespace =
   | 'nodes'
   | 'system'
   | 'socketio'
-  | 'session';
+  | 'session'
+  | 'dnd';
 
 export const logger = (namespace: LoggerNamespace) =>
   $logger.get().child({ namespace });
diff --git a/invokeai/frontend/web/src/app/store/middleware/devtools/actionsDenylist.ts b/invokeai/frontend/web/src/app/store/middleware/devtools/actionsDenylist.ts
index 6d41d488c8..a596fce931 100644
--- a/invokeai/frontend/web/src/app/store/middleware/devtools/actionsDenylist.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/devtools/actionsDenylist.ts
@@ -15,7 +15,7 @@ export const actionsDenylist = [
   'socket/socketGeneratorProgress',
   'socket/appSocketGeneratorProgress',
   // every time user presses shift
-  'hotkeys/shiftKeyPressed',
+  // 'hotkeys/shiftKeyPressed',
   // this happens after every state change
   '@@REMEMBER_PERSISTED',
 ];
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts
index 043105cb66..fc0b44653d 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDropped.ts
@@ -1,16 +1,20 @@
 import { createAction } from '@reduxjs/toolkit';
-import {
-  TypesafeDraggableData,
-  TypesafeDroppableData,
-} from 'app/components/ImageDnd/typesafeDnd';
 import { logger } from 'app/logging/logger';
 import { setInitialCanvasImage } from 'features/canvas/store/canvasSlice';
 import { controlNetImageChanged } from 'features/controlNet/store/controlNetSlice';
+import {
+  TypesafeDraggableData,
+  TypesafeDroppableData,
+} from 'features/dnd/types';
 import { imageSelected } from 'features/gallery/store/gallerySlice';
-import { fieldValueChanged } from 'features/nodes/store/nodesSlice';
+import {
+  fieldImageValueChanged,
+  workflowExposedFieldAdded,
+} from 'features/nodes/store/nodesSlice';
 import { initialImageChanged } from 'features/parameters/store/generationSlice';
 import { imagesApi } from 'services/api/endpoints/images';
 import { startAppListening } from '../';
+import { parseify } from 'common/util/serialize';
 
 export const dndDropped = createAction<{
   overData: TypesafeDroppableData;
@@ -21,7 +25,7 @@ export const addImageDroppedListener = () => {
   startAppListening({
     actionCreator: dndDropped,
     effect: async (action, { dispatch }) => {
-      const log = logger('images');
+      const log = logger('dnd');
       const { activeData, overData } = action.payload;
 
       if (activeData.payloadType === 'IMAGE_DTO') {
@@ -31,10 +35,28 @@ export const addImageDroppedListener = () => {
           { activeData, overData },
           `Images (${activeData.payload.imageDTOs.length}) dropped`
         );
+      } else if (activeData.payloadType === 'NODE_FIELD') {
+        log.debug(
+          { activeData: parseify(activeData), overData: parseify(overData) },
+          'Node field dropped'
+        );
       } else {
         log.debug({ activeData, overData }, `Unknown payload dropped`);
       }
 
+      if (
+        overData.actionType === 'ADD_FIELD_TO_LINEAR' &&
+        activeData.payloadType === 'NODE_FIELD'
+      ) {
+        const { nodeId, field } = activeData.payload;
+        dispatch(
+          workflowExposedFieldAdded({
+            nodeId,
+            fieldName: field.name,
+          })
+        );
+      }
+
       /**
        * Image dropped on current image
        */
@@ -99,7 +121,7 @@ export const addImageDroppedListener = () => {
       ) {
         const { fieldName, nodeId } = overData.context;
         dispatch(
-          fieldValueChanged({
+          fieldImageValueChanged({
             nodeId,
             fieldName,
             value: activeData.payload.imageDTO,
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts
index 6dc2d482a9..0c55908748 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageUploaded.ts
@@ -2,7 +2,7 @@ import { UseToastOptions } from '@chakra-ui/react';
 import { logger } from 'app/logging/logger';
 import { setInitialCanvasImage } from 'features/canvas/store/canvasSlice';
 import { controlNetImageChanged } from 'features/controlNet/store/controlNetSlice';
-import { fieldValueChanged } from 'features/nodes/store/nodesSlice';
+import { fieldImageValueChanged } from 'features/nodes/store/nodesSlice';
 import { initialImageChanged } from 'features/parameters/store/generationSlice';
 import { addToast } from 'features/system/store/systemSlice';
 import { omit } from 'lodash-es';
@@ -111,7 +111,9 @@ export const addImageUploadedFulfilledListener = () => {
 
       if (postUploadAction?.type === 'SET_NODES_IMAGE') {
         const { nodeId, fieldName } = postUploadAction;
-        dispatch(fieldValueChanged({ nodeId, fieldName, value: imageDTO }));
+        dispatch(
+          fieldImageValueChanged({ nodeId, fieldName, value: imageDTO })
+        );
         dispatch(
           addToast({
             ...DEFAULT_UPLOADED_TOAST,
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts
index 436a58aa8e..4d30ee3b8b 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelsLoaded.ts
@@ -15,12 +15,21 @@ import {
   setShouldUseSDXLRefiner,
 } from 'features/sdxl/store/sdxlSlice';
 import { forEach, some } from 'lodash-es';
-import { modelsApi, vaeModelsAdapter } from 'services/api/endpoints/models';
+import {
+  mainModelsAdapter,
+  modelsApi,
+  vaeModelsAdapter,
+} from 'services/api/endpoints/models';
+import { TypeGuardFor } from 'services/api/types';
 import { startAppListening } from '..';
 
 export const addModelsLoadedListener = () => {
   startAppListening({
-    predicate: (state, action) =>
+    predicate: (
+      action
+    ): action is TypeGuardFor<
+      typeof modelsApi.endpoints.getMainModels.matchFulfilled
+    > =>
       modelsApi.endpoints.getMainModels.matchFulfilled(action) &&
       !action.meta.arg.originalArgs.includes('sdxl-refiner'),
     effect: async (action, { getState, dispatch }) => {
@@ -32,29 +41,28 @@ export const addModelsLoadedListener = () => {
       );
 
       const currentModel = getState().generation.model;
+      const models = mainModelsAdapter.getSelectors().selectAll(action.payload);
 
-      const isCurrentModelAvailable = some(
-        action.payload.entities,
-        (m) =>
-          m?.model_name === currentModel?.model_name &&
-          m?.base_model === currentModel?.base_model &&
-          m?.model_type === currentModel?.model_type
-      );
-
-      if (isCurrentModelAvailable) {
-        return;
-      }
-
-      const firstModelId = action.payload.ids[0];
-      const firstModel = action.payload.entities[firstModelId];
-
-      if (!firstModel) {
+      if (models.length === 0) {
         // No models loaded at all
         dispatch(modelChanged(null));
         return;
       }
 
-      const result = zMainOrOnnxModel.safeParse(firstModel);
+      const isCurrentModelAvailable = currentModel
+        ? models.some(
+            (m) =>
+              m.model_name === currentModel.model_name &&
+              m.base_model === currentModel.base_model &&
+              m.model_type === currentModel.model_type
+          )
+        : false;
+
+      if (isCurrentModelAvailable) {
+        return;
+      }
+
+      const result = zMainOrOnnxModel.safeParse(models[0]);
 
       if (!result.success) {
         log.error(
@@ -68,7 +76,11 @@ export const addModelsLoadedListener = () => {
     },
   });
   startAppListening({
-    predicate: (state, action) =>
+    predicate: (
+      action
+    ): action is TypeGuardFor<
+      typeof modelsApi.endpoints.getMainModels.matchFulfilled
+    > =>
       modelsApi.endpoints.getMainModels.matchFulfilled(action) &&
       action.meta.arg.originalArgs.includes('sdxl-refiner'),
     effect: async (action, { getState, dispatch }) => {
@@ -80,30 +92,29 @@ export const addModelsLoadedListener = () => {
       );
 
       const currentModel = getState().sdxl.refinerModel;
+      const models = mainModelsAdapter.getSelectors().selectAll(action.payload);
 
-      const isCurrentModelAvailable = some(
-        action.payload.entities,
-        (m) =>
-          m?.model_name === currentModel?.model_name &&
-          m?.base_model === currentModel?.base_model &&
-          m?.model_type === currentModel?.model_type
-      );
-
-      if (isCurrentModelAvailable) {
-        return;
-      }
-
-      const firstModelId = action.payload.ids[0];
-      const firstModel = action.payload.entities[firstModelId];
-
-      if (!firstModel) {
+      if (models.length === 0) {
         // No models loaded at all
         dispatch(refinerModelChanged(null));
         dispatch(setShouldUseSDXLRefiner(false));
         return;
       }
 
-      const result = zSDXLRefinerModel.safeParse(firstModel);
+      const isCurrentModelAvailable = currentModel
+        ? models.some(
+            (m) =>
+              m.model_name === currentModel.model_name &&
+              m.base_model === currentModel.base_model &&
+              m.model_type === currentModel.model_type
+          )
+        : false;
+
+      if (isCurrentModelAvailable) {
+        return;
+      }
+
+      const result = zSDXLRefinerModel.safeParse(models[0]);
 
       if (!result.success) {
         log.error(
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/receivedOpenAPISchema.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/receivedOpenAPISchema.ts
index 44729f215a..dd86c77735 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/receivedOpenAPISchema.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/receivedOpenAPISchema.ts
@@ -13,7 +13,7 @@ export const addReceivedOpenAPISchemaListener = () => {
       const log = logger('system');
       const schemaJSON = action.payload;
 
-      log.debug({ schemaJSON }, 'Dereferenced OpenAPI schema');
+      log.debug({ schemaJSON }, 'Received OpenAPI schema');
 
       const nodeTemplates = parseSchema(schemaJSON);
 
@@ -28,9 +28,12 @@ export const addReceivedOpenAPISchemaListener = () => {
 
   startAppListening({
     actionCreator: receivedOpenAPISchema.rejected,
-    effect: () => {
+    effect: (action) => {
       const log = logger('system');
-      log.error('Problem dereferencing OpenAPI Schema');
+      log.error(
+        { error: parseify(action.error) },
+        'Problem retrieving OpenAPI Schema'
+      );
     },
   });
 };
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
index 5b3b9424b6..5501f208fd 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts
@@ -19,7 +19,7 @@ import {
 } from 'services/events/actions';
 import { startAppListening } from '../..';
 
-const nodeDenylist = ['dataURL_image'];
+const nodeDenylist = ['load_image'];
 
 export const addInvocationCompleteEventListener = () => {
   startAppListening({
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedNodes.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedNodes.ts
index 0c298cbb24..5894bba5df 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedNodes.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/userInvokedNodes.ts
@@ -15,7 +15,7 @@ export const addUserInvokedNodesListener = () => {
       const log = logger('session');
       const state = getState();
 
-      const graph = buildNodesGraph(state);
+      const graph = buildNodesGraph(state.nodes);
       dispatch(nodesGraphBuilt(graph));
       log.debug({ graph: parseify(graph) }, 'Nodes graph built');
 
diff --git a/invokeai/frontend/web/src/app/types/invokeai.ts b/invokeai/frontend/web/src/app/types/invokeai.ts
index 827424fa7f..a39ed2ca7b 100644
--- a/invokeai/frontend/web/src/app/types/invokeai.ts
+++ b/invokeai/frontend/web/src/app/types/invokeai.ts
@@ -1,86 +1,7 @@
-import {
-  // CONTROLNET_MODELS,
-  CONTROLNET_PROCESSORS,
-} from 'features/controlNet/store/constants';
+import { CONTROLNET_PROCESSORS } from 'features/controlNet/store/constants';
 import { InvokeTabName } from 'features/ui/store/tabMap';
 import { O } from 'ts-toolbelt';
 
-// These are old types from the model management UI
-
-// export type ModelStatus = 'active' | 'cached' | 'not loaded';
-
-// export type Model = {
-//   status: ModelStatus;
-//   description: string;
-//   weights: string;
-//   config?: string;
-//   vae?: string;
-//   width?: number;
-//   height?: number;
-//   default?: boolean;
-//   format?: string;
-// };
-
-// export type DiffusersModel = {
-//   status: ModelStatus;
-//   description: string;
-//   repo_id?: string;
-//   path?: string;
-//   vae?: {
-//     repo_id?: string;
-//     path?: string;
-//   };
-//   format?: string;
-//   default?: boolean;
-// };
-
-// export type ModelList = Record<string, Model & DiffusersModel>;
-
-// export type FoundModel = {
-//   name: string;
-//   location: string;
-// };
-
-// export type InvokeModelConfigProps = {
-//   name: string | undefined;
-//   description: string | undefined;
-//   config: string | undefined;
-//   weights: string | undefined;
-//   vae: string | undefined;
-//   width: number | undefined;
-//   height: number | undefined;
-//   default: boolean | undefined;
-//   format: string | undefined;
-// };
-
-// export type InvokeDiffusersModelConfigProps = {
-//   name: string | undefined;
-//   description: string | undefined;
-//   repo_id: string | undefined;
-//   path: string | undefined;
-//   default: boolean | undefined;
-//   format: string | undefined;
-//   vae: {
-//     repo_id: string | undefined;
-//     path: string | undefined;
-//   };
-// };
-
-// export type InvokeModelConversionProps = {
-//   model_name: string;
-//   save_location: string;
-//   custom_location: string | null;
-// };
-
-// export type InvokeModelMergingProps = {
-//   models_to_merge: string[];
-//   alpha: number;
-//   interp: 'weighted_sum' | 'sigmoid' | 'inv_sigmoid' | 'add_difference';
-//   force: boolean;
-//   merged_model_name: string;
-//   model_merge_save_path: string | null;
-// };
-
 /**
  * A disable-able application feature
  */
diff --git a/invokeai/frontend/web/src/common/components/IAIDndImage.tsx b/invokeai/frontend/web/src/common/components/IAIDndImage.tsx
index 780447aba6..defe600b78 100644
--- a/invokeai/frontend/web/src/common/components/IAIDndImage.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIDndImage.tsx
@@ -6,10 +6,6 @@ import {
   useColorMode,
   useColorModeValue,
 } from '@chakra-ui/react';
-import {
-  TypesafeDraggableData,
-  TypesafeDroppableData,
-} from 'app/components/ImageDnd/typesafeDnd';
 import IAIIconButton from 'common/components/IAIIconButton';
 import {
   IAILoadingImageFallback,
@@ -17,6 +13,10 @@ import {
 } from 'common/components/IAIImageFallback';
 import ImageMetadataOverlay from 'common/components/ImageMetadataOverlay';
 import { useImageUploadButton } from 'common/hooks/useImageUploadButton';
+import {
+  TypesafeDraggableData,
+  TypesafeDroppableData,
+} from 'features/dnd/types';
 import ImageContextMenu from 'features/gallery/components/ImageContextMenu/ImageContextMenu';
 import {
   MouseEvent,
@@ -157,11 +157,10 @@ const IAIDndImage = (props: IAIDndImageProps) => {
                     <IAILoadingImageFallback image={imageDTO} />
                   )
                 }
-                width={imageDTO.width}
-                height={imageDTO.height}
                 onError={onError}
                 draggable={false}
                 sx={{
+                  w: imageDTO.width,
                   objectFit: 'contain',
                   maxW: 'full',
                   maxH: 'full',
@@ -213,13 +212,6 @@ const IAIDndImage = (props: IAIDndImageProps) => {
               onClick={onClick}
             />
           )}
-          {!isDropDisabled && (
-            <IAIDroppable
-              data={droppableData}
-              disabled={isDropDisabled}
-              dropLabel={dropLabel}
-            />
-          )}
           {onClickReset && withResetIcon && imageDTO && (
             <IAIIconButton
               onClick={onClickReset}
@@ -244,6 +236,13 @@ const IAIDndImage = (props: IAIDndImageProps) => {
               }}
             />
           )}
+          {!isDropDisabled && (
+            <IAIDroppable
+              data={droppableData}
+              disabled={isDropDisabled}
+              dropLabel={dropLabel}
+            />
+          )}
         </Flex>
       )}
     </ImageContextMenu>
diff --git a/invokeai/frontend/web/src/common/components/IAIDraggable.tsx b/invokeai/frontend/web/src/common/components/IAIDraggable.tsx
index 482a8ac604..363799a573 100644
--- a/invokeai/frontend/web/src/common/components/IAIDraggable.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIDraggable.tsx
@@ -1,22 +1,19 @@
-import { Box } from '@chakra-ui/react';
-import {
-  TypesafeDraggableData,
-  useDraggable,
-} from 'app/components/ImageDnd/typesafeDnd';
-import { MouseEvent, memo, useRef } from 'react';
+import { Box, BoxProps } from '@chakra-ui/react';
+import { useDraggableTypesafe } from 'features/dnd/hooks/typesafeHooks';
+import { TypesafeDraggableData } from 'features/dnd/types';
+import { memo, useRef } from 'react';
 import { v4 as uuidv4 } from 'uuid';
 
-type IAIDraggableProps = {
+type IAIDraggableProps = BoxProps & {
   disabled?: boolean;
   data?: TypesafeDraggableData;
-  onClick?: (event: MouseEvent<HTMLDivElement>) => void;
 };
 
 const IAIDraggable = (props: IAIDraggableProps) => {
-  const { data, disabled, onClick } = props;
+  const { data, disabled, ...rest } = props;
   const dndId = useRef(uuidv4());
 
-  const { attributes, listeners, setNodeRef } = useDraggable({
+  const { attributes, listeners, setNodeRef } = useDraggableTypesafe({
     id: dndId.current,
     disabled,
     data,
@@ -24,7 +21,6 @@ const IAIDraggable = (props: IAIDraggableProps) => {
 
   return (
     <Box
-      onClick={onClick}
       ref={setNodeRef}
       position="absolute"
       w="full"
@@ -33,6 +29,7 @@ const IAIDraggable = (props: IAIDraggableProps) => {
       insetInlineStart={0}
       {...attributes}
       {...listeners}
+      {...rest}
     />
   );
 };
diff --git a/invokeai/frontend/web/src/common/components/IAIDroppable.tsx b/invokeai/frontend/web/src/common/components/IAIDroppable.tsx
index 1038f36840..e4fb121c78 100644
--- a/invokeai/frontend/web/src/common/components/IAIDroppable.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIDroppable.tsx
@@ -1,9 +1,7 @@
 import { Box } from '@chakra-ui/react';
-import {
-  TypesafeDroppableData,
-  isValidDrop,
-  useDroppable,
-} from 'app/components/ImageDnd/typesafeDnd';
+import { useDroppableTypesafe } from 'features/dnd/hooks/typesafeHooks';
+import { TypesafeDroppableData } from 'features/dnd/types';
+import { isValidDrop } from 'features/dnd/util/isValidDrop';
 import { AnimatePresence } from 'framer-motion';
 import { ReactNode, memo, useRef } from 'react';
 import { v4 as uuidv4 } from 'uuid';
@@ -19,7 +17,7 @@ const IAIDroppable = (props: IAIDroppableProps) => {
   const { dropLabel, data, disabled } = props;
   const dndId = useRef(uuidv4());
 
-  const { isOver, setNodeRef, active } = useDroppable({
+  const { isOver, setNodeRef, active } = useDroppableTypesafe({
     id: dndId.current,
     disabled,
     data,
diff --git a/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx b/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx
index 2057525b7a..a150e4ed0c 100644
--- a/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIImageFallback.tsx
@@ -49,7 +49,7 @@ export const IAILoadingImageFallback = (props: Props) => {
 
 type IAINoImageFallbackProps = {
   label?: string;
-  icon?: As;
+  icon?: As | null;
   boxSize?: StyleProps['boxSize'];
   sx?: ChakraProps['sx'];
 };
@@ -76,7 +76,7 @@ export const IAINoContentFallback = (props: IAINoImageFallbackProps) => {
         ...props.sx,
       }}
     >
-      <Icon as={icon} boxSize={boxSize} opacity={0.7} />
+      {icon && <Icon as={icon} boxSize={boxSize} opacity={0.7} />}
       {props.label && <Text textAlign="center">{props.label}</Text>}
     </Flex>
   );
diff --git a/invokeai/frontend/web/src/common/components/IAISwitch.tsx b/invokeai/frontend/web/src/common/components/IAISwitch.tsx
index 9803626397..da0883d77e 100644
--- a/invokeai/frontend/web/src/common/components/IAISwitch.tsx
+++ b/invokeai/frontend/web/src/common/components/IAISwitch.tsx
@@ -1,10 +1,13 @@
 import {
+  Flex,
   FormControl,
   FormControlProps,
+  FormHelperText,
   FormLabel,
   FormLabelProps,
   Switch,
   SwitchProps,
+  Text,
   Tooltip,
 } from '@chakra-ui/react';
 import { memo } from 'react';
@@ -15,6 +18,7 @@ export interface IAISwitchProps extends SwitchProps {
   formControlProps?: FormControlProps;
   formLabelProps?: FormLabelProps;
   tooltip?: string;
+  helperText?: string;
 }
 
 /**
@@ -28,6 +32,7 @@ const IAISwitch = (props: IAISwitchProps) => {
     formControlProps,
     formLabelProps,
     tooltip,
+    helperText,
     ...rest
   } = props;
   return (
@@ -35,25 +40,33 @@ const IAISwitch = (props: IAISwitchProps) => {
       <FormControl
         isDisabled={isDisabled}
         width={width}
-        display="flex"
         alignItems="center"
         {...formControlProps}
       >
-        {label && (
-          <FormLabel
-            my={1}
-            flexGrow={1}
-            sx={{
-              cursor: isDisabled ? 'not-allowed' : 'pointer',
-              ...formLabelProps?.sx,
-              pe: 4,
-            }}
-            {...formLabelProps}
-          >
-            {label}
-          </FormLabel>
-        )}
-        <Switch {...rest} />
+        <Flex sx={{ flexDir: 'column', w: 'full' }}>
+          <Flex sx={{ alignItems: 'center', w: 'full' }}>
+            {label && (
+              <FormLabel
+                my={1}
+                flexGrow={1}
+                sx={{
+                  cursor: isDisabled ? 'not-allowed' : 'pointer',
+                  ...formLabelProps?.sx,
+                  pe: 4,
+                }}
+                {...formLabelProps}
+              >
+                {label}
+              </FormLabel>
+            )}
+            <Switch {...rest} />
+          </Flex>
+          {helperText && (
+            <FormHelperText>
+              <Text variant="subtext">{helperText}</Text>
+            </FormHelperText>
+          )}
+        </Flex>
       </FormControl>
     </Tooltip>
   );
diff --git a/invokeai/frontend/web/src/common/hooks/useChakraThemeTokens.ts b/invokeai/frontend/web/src/common/hooks/useChakraThemeTokens.ts
index 770add7253..0afb7e7e5d 100644
--- a/invokeai/frontend/web/src/common/hooks/useChakraThemeTokens.ts
+++ b/invokeai/frontend/web/src/common/hooks/useChakraThemeTokens.ts
@@ -40,6 +40,44 @@ export const useChakraThemeTokens = () => {
     accent850,
     accent900,
     accent950,
+    baseAlpha50,
+    baseAlpha100,
+    baseAlpha150,
+    baseAlpha200,
+    baseAlpha250,
+    baseAlpha300,
+    baseAlpha350,
+    baseAlpha400,
+    baseAlpha450,
+    baseAlpha500,
+    baseAlpha550,
+    baseAlpha600,
+    baseAlpha650,
+    baseAlpha700,
+    baseAlpha750,
+    baseAlpha800,
+    baseAlpha850,
+    baseAlpha900,
+    baseAlpha950,
+    accentAlpha50,
+    accentAlpha100,
+    accentAlpha150,
+    accentAlpha200,
+    accentAlpha250,
+    accentAlpha300,
+    accentAlpha350,
+    accentAlpha400,
+    accentAlpha450,
+    accentAlpha500,
+    accentAlpha550,
+    accentAlpha600,
+    accentAlpha650,
+    accentAlpha700,
+    accentAlpha750,
+    accentAlpha800,
+    accentAlpha850,
+    accentAlpha900,
+    accentAlpha950,
   ] = useToken('colors', [
     'base.50',
     'base.100',
@@ -79,6 +117,44 @@ export const useChakraThemeTokens = () => {
     'accent.850',
     'accent.900',
     'accent.950',
+    'baseAlpha.50',
+    'baseAlpha.100',
+    'baseAlpha.150',
+    'baseAlpha.200',
+    'baseAlpha.250',
+    'baseAlpha.300',
+    'baseAlpha.350',
+    'baseAlpha.400',
+    'baseAlpha.450',
+    'baseAlpha.500',
+    'baseAlpha.550',
+    'baseAlpha.600',
+    'baseAlpha.650',
+    'baseAlpha.700',
+    'baseAlpha.750',
+    'baseAlpha.800',
+    'baseAlpha.850',
+    'baseAlpha.900',
+    'baseAlpha.950',
+    'accentAlpha.50',
+    'accentAlpha.100',
+    'accentAlpha.150',
+    'accentAlpha.200',
+    'accentAlpha.250',
+    'accentAlpha.300',
+    'accentAlpha.350',
+    'accentAlpha.400',
+    'accentAlpha.450',
+    'accentAlpha.500',
+    'accentAlpha.550',
+    'accentAlpha.600',
+    'accentAlpha.650',
+    'accentAlpha.700',
+    'accentAlpha.750',
+    'accentAlpha.800',
+    'accentAlpha.850',
+    'accentAlpha.900',
+    'accentAlpha.950',
   ]);
 
   return {
@@ -120,5 +196,43 @@ export const useChakraThemeTokens = () => {
     accent850,
     accent900,
     accent950,
+    baseAlpha50,
+    baseAlpha100,
+    baseAlpha150,
+    baseAlpha200,
+    baseAlpha250,
+    baseAlpha300,
+    baseAlpha350,
+    baseAlpha400,
+    baseAlpha450,
+    baseAlpha500,
+    baseAlpha550,
+    baseAlpha600,
+    baseAlpha650,
+    baseAlpha700,
+    baseAlpha750,
+    baseAlpha800,
+    baseAlpha850,
+    baseAlpha900,
+    baseAlpha950,
+    accentAlpha50,
+    accentAlpha100,
+    accentAlpha150,
+    accentAlpha200,
+    accentAlpha250,
+    accentAlpha300,
+    accentAlpha350,
+    accentAlpha400,
+    accentAlpha450,
+    accentAlpha500,
+    accentAlpha550,
+    accentAlpha600,
+    accentAlpha650,
+    accentAlpha700,
+    accentAlpha750,
+    accentAlpha800,
+    accentAlpha850,
+    accentAlpha900,
+    accentAlpha950,
   };
 };
diff --git a/invokeai/frontend/web/src/common/util/serialize.ts b/invokeai/frontend/web/src/common/util/serialize.ts
index a9352a8228..a5db921f8d 100644
--- a/invokeai/frontend/web/src/common/util/serialize.ts
+++ b/invokeai/frontend/web/src/common/util/serialize.ts
@@ -1,4 +1,10 @@
 /**
  * Serialize an object to JSON and back to a new object
  */
-export const parseify = (obj: unknown) => JSON.parse(JSON.stringify(obj));
+export const parseify = (obj: unknown) => {
+  try {
+    return JSON.parse(JSON.stringify(obj));
+  } catch {
+    return 'Error parsing object';
+  }
+};
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx
index cdab176cd2..4fffb82275 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx
@@ -4,7 +4,7 @@ import { skipToken } from '@reduxjs/toolkit/dist/query';
 import {
   TypesafeDraggableData,
   TypesafeDroppableData,
-} from 'app/components/ImageDnd/typesafeDnd';
+} from 'features/dnd/types';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
diff --git a/invokeai/frontend/web/src/features/controlNet/store/types.ts b/invokeai/frontend/web/src/features/controlNet/store/types.ts
index 2d028fd0bb..80edb41699 100644
--- a/invokeai/frontend/web/src/features/controlNet/store/types.ts
+++ b/invokeai/frontend/web/src/features/controlNet/store/types.ts
@@ -138,7 +138,7 @@ export type RequiredZoeDepthImageProcessorInvocation = O.Required<
 /**
  * Any ControlNet Processor node, with its parameters flagged as required
  */
-export type RequiredControlNetProcessorNode =
+export type RequiredControlNetProcessorNode = O.Required<
   | RequiredCannyImageProcessorInvocation
   | RequiredContentShuffleImageProcessorInvocation
   | RequiredHedImageProcessorInvocation
@@ -150,7 +150,9 @@ export type RequiredControlNetProcessorNode =
   | RequiredNormalbaeImageProcessorInvocation
   | RequiredOpenposeImageProcessorInvocation
   | RequiredPidiImageProcessorInvocation
-  | RequiredZoeDepthImageProcessorInvocation;
+  | RequiredZoeDepthImageProcessorInvocation,
+  'id'
+>;
 
 /**
  * Type guard for CannyImageProcessorInvocation
diff --git a/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts b/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts
index 310521f32a..37be06bad6 100644
--- a/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts
+++ b/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts
@@ -3,6 +3,7 @@ import { RootState } from 'app/store/store';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import { some } from 'lodash-es';
 import { ImageUsage } from './types';
+import { isInvocationNode } from 'features/nodes/types/types';
 
 export const getImageUsage = (state: RootState, image_name: string) => {
   const { generation, canvas, nodes, controlNet } = state;
@@ -12,11 +13,11 @@ export const getImageUsage = (state: RootState, image_name: string) => {
     (obj) => obj.kind === 'image' && obj.imageName === image_name
   );
 
-  const isNodesImage = nodes.nodes.some((node) => {
+  const isNodesImage = nodes.nodes.filter(isInvocationNode).some((node) => {
     return some(
       node.data.inputs,
       (input) =>
-        input.type === 'image' && input.value?.image_name === image_name
+        input.type === 'ImageField' && input.value?.image_name === image_name
     );
   });
 
diff --git a/invokeai/frontend/web/src/app/components/ImageDnd/ImageDndContext.tsx b/invokeai/frontend/web/src/features/dnd/components/AppDndContext.tsx
similarity index 70%
rename from invokeai/frontend/web/src/app/components/ImageDnd/ImageDndContext.tsx
rename to invokeai/frontend/web/src/features/dnd/components/AppDndContext.tsx
index 56eeb9b5db..bffe738aa9 100644
--- a/invokeai/frontend/web/src/app/components/ImageDnd/ImageDndContext.tsx
+++ b/invokeai/frontend/web/src/features/dnd/components/AppDndContext.tsx
@@ -6,23 +6,18 @@ import {
   useSensor,
   useSensors,
 } from '@dnd-kit/core';
-import { snapCenterToCursor } from '@dnd-kit/modifiers';
+import { logger } from 'app/logging/logger';
 import { dndDropped } from 'app/store/middleware/listenerMiddleware/listeners/imageDropped';
 import { useAppDispatch } from 'app/store/storeHooks';
+import { parseify } from 'common/util/serialize';
 import { AnimatePresence, motion } from 'framer-motion';
 import { PropsWithChildren, memo, useCallback, useState } from 'react';
+import { useScaledModifer } from '../hooks/useScaledCenteredModifer';
+import { DragEndEvent, DragStartEvent, TypesafeDraggableData } from '../types';
+import { DndContextTypesafe } from './DndContextTypesafe';
 import DragPreview from './DragPreview';
-import {
-  DndContext,
-  DragEndEvent,
-  DragStartEvent,
-  TypesafeDraggableData,
-} from './typesafeDnd';
-import { logger } from 'app/logging/logger';
 
-type ImageDndContextProps = PropsWithChildren;
-
-const ImageDndContext = (props: ImageDndContextProps) => {
+const AppDndContext = (props: PropsWithChildren) => {
   const [activeDragData, setActiveDragData] =
     useState<TypesafeDraggableData | null>(null);
   const log = logger('images');
@@ -31,7 +26,10 @@ const ImageDndContext = (props: ImageDndContextProps) => {
 
   const handleDragStart = useCallback(
     (event: DragStartEvent) => {
-      log.trace({ dragData: event.active.data.current }, 'Drag started');
+      log.trace(
+        { dragData: parseify(event.active.data.current) },
+        'Drag started'
+      );
       const activeData = event.active.data.current;
       if (!activeData) {
         return;
@@ -43,7 +41,10 @@ const ImageDndContext = (props: ImageDndContextProps) => {
 
   const handleDragEnd = useCallback(
     (event: DragEndEvent) => {
-      log.trace({ dragData: event.active.data.current }, 'Drag ended');
+      log.trace(
+        { dragData: parseify(event.active.data.current) },
+        'Drag ended'
+      );
       const overData = event.over?.data.current;
       if (!activeDragData || !overData) {
         return;
@@ -69,15 +70,29 @@ const ImageDndContext = (props: ImageDndContextProps) => {
 
   const sensors = useSensors(mouseSensor, touchSensor);
 
+  const scaledModifier = useScaledModifer();
+
   return (
-    <DndContext
+    <DndContextTypesafe
       onDragStart={handleDragStart}
       onDragEnd={handleDragEnd}
       sensors={sensors}
       collisionDetection={pointerWithin}
+      autoScroll={false}
     >
       {props.children}
-      <DragOverlay dropAnimation={null} modifiers={[snapCenterToCursor]}>
+      <DragOverlay
+        dropAnimation={null}
+        modifiers={[scaledModifier]}
+        style={{
+          width: 'min-content',
+          height: 'min-content',
+          cursor: 'none',
+          userSelect: 'none',
+          // expand overlay to prevent cursor from going outside it and displaying
+          padding: '10rem',
+        }}
+      >
         <AnimatePresence>
           {activeDragData && (
             <motion.div
@@ -98,8 +113,8 @@ const ImageDndContext = (props: ImageDndContextProps) => {
           )}
         </AnimatePresence>
       </DragOverlay>
-    </DndContext>
+    </DndContextTypesafe>
   );
 };
 
-export default memo(ImageDndContext);
+export default memo(AppDndContext);
diff --git a/invokeai/frontend/web/src/features/dnd/components/DndContextTypesafe.tsx b/invokeai/frontend/web/src/features/dnd/components/DndContextTypesafe.tsx
new file mode 100644
index 0000000000..06fede4dc8
--- /dev/null
+++ b/invokeai/frontend/web/src/features/dnd/components/DndContextTypesafe.tsx
@@ -0,0 +1,6 @@
+import { DndContext } from '@dnd-kit/core';
+import { DndContextTypesafeProps } from '../types';
+
+export function DndContextTypesafe(props: DndContextTypesafeProps) {
+  return <DndContext {...props} />;
+}
diff --git a/invokeai/frontend/web/src/app/components/ImageDnd/DragPreview.tsx b/invokeai/frontend/web/src/features/dnd/components/DragPreview.tsx
similarity index 69%
rename from invokeai/frontend/web/src/app/components/ImageDnd/DragPreview.tsx
rename to invokeai/frontend/web/src/features/dnd/components/DragPreview.tsx
index c97778ffcd..0ee5d34b1a 100644
--- a/invokeai/frontend/web/src/app/components/ImageDnd/DragPreview.tsx
+++ b/invokeai/frontend/web/src/features/dnd/components/DragPreview.tsx
@@ -1,6 +1,6 @@
-import { Box, ChakraProps, Flex, Heading, Image } from '@chakra-ui/react';
+import { Box, ChakraProps, Flex, Heading, Image, Text } from '@chakra-ui/react';
 import { memo } from 'react';
-import { TypesafeDraggableData } from './typesafeDnd';
+import { TypesafeDraggableData } from '../types';
 
 type OverlayDragImageProps = {
   dragData: TypesafeDraggableData | null;
@@ -30,19 +30,38 @@ const DragPreview = (props: OverlayDragImageProps) => {
     return null;
   }
 
+  if (props.dragData.payloadType === 'NODE_FIELD') {
+    const { field, fieldTemplate } = props.dragData.payload;
+    return (
+      <Box
+        sx={{
+          position: 'relative',
+          p: 2,
+          px: 3,
+          opacity: 0.7,
+          bg: 'base.300',
+          borderRadius: 'base',
+          boxShadow: 'dark-lg',
+          whiteSpace: 'nowrap',
+          fontSize: 'sm',
+        }}
+      >
+        <Text>{field.label || fieldTemplate.title}</Text>
+      </Box>
+    );
+  }
+
   if (props.dragData.payloadType === 'IMAGE_DTO') {
     const { thumbnail_url, width, height } = props.dragData.payload.imageDTO;
     return (
       <Box
         sx={{
           position: 'relative',
-          width: '100%',
-          height: '100%',
+          width: 'full',
+          height: 'full',
           display: 'flex',
           alignItems: 'center',
           justifyContent: 'center',
-          userSelect: 'none',
-          cursor: 'none',
         }}
       >
         <Image
@@ -62,8 +81,6 @@ const DragPreview = (props: OverlayDragImageProps) => {
     return (
       <Flex
         sx={{
-          cursor: 'none',
-          userSelect: 'none',
           position: 'relative',
           alignItems: 'center',
           justifyContent: 'center',
diff --git a/invokeai/frontend/web/src/features/dnd/hooks/typesafeHooks.ts b/invokeai/frontend/web/src/features/dnd/hooks/typesafeHooks.ts
new file mode 100644
index 0000000000..71f97a0a6e
--- /dev/null
+++ b/invokeai/frontend/web/src/features/dnd/hooks/typesafeHooks.ts
@@ -0,0 +1,15 @@
+import { useDraggable, useDroppable } from '@dnd-kit/core';
+import {
+  UseDraggableTypesafeArguments,
+  UseDraggableTypesafeReturnValue,
+  UseDroppableTypesafeArguments,
+  UseDroppableTypesafeReturnValue,
+} from '../types';
+
+export function useDroppableTypesafe(props: UseDroppableTypesafeArguments) {
+  return useDroppable(props) as UseDroppableTypesafeReturnValue;
+}
+
+export function useDraggableTypesafe(props: UseDraggableTypesafeArguments) {
+  return useDraggable(props) as UseDraggableTypesafeReturnValue;
+}
diff --git a/invokeai/frontend/web/src/features/dnd/hooks/useScaledCenteredModifer.ts b/invokeai/frontend/web/src/features/dnd/hooks/useScaledCenteredModifer.ts
new file mode 100644
index 0000000000..ad7ef5ad2c
--- /dev/null
+++ b/invokeai/frontend/web/src/features/dnd/hooks/useScaledCenteredModifer.ts
@@ -0,0 +1,50 @@
+import type { Modifier } from '@dnd-kit/core';
+import { getEventCoordinates } from '@dnd-kit/utilities';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
+import { useCallback } from 'react';
+
+const selectZoom = createSelector(
+  [stateSelector, activeTabNameSelector],
+  ({ nodes }, activeTabName) => (activeTabName === 'nodes' ? nodes.zoom : 1)
+);
+
+/**
+ * Applies scaling to the drag transform (if on node editor tab) and centers it on cursor.
+ */
+export const useScaledModifer = () => {
+  const zoom = useAppSelector(selectZoom);
+  const modifier: Modifier = useCallback(
+    ({ activatorEvent, draggingNodeRect, transform }) => {
+      if (draggingNodeRect && activatorEvent) {
+        const activatorCoordinates = getEventCoordinates(activatorEvent);
+
+        if (!activatorCoordinates) {
+          return transform;
+        }
+
+        const offsetX = activatorCoordinates.x - draggingNodeRect.left;
+        const offsetY = activatorCoordinates.y - draggingNodeRect.top;
+
+        const x = transform.x + offsetX - draggingNodeRect.width / 2;
+        const y = transform.y + offsetY - draggingNodeRect.height / 2;
+        const scaleX = transform.scaleX * zoom;
+        const scaleY = transform.scaleY * zoom;
+
+        return {
+          x,
+          y,
+          scaleX,
+          scaleY,
+        };
+      }
+
+      return transform;
+    },
+    [zoom]
+  );
+
+  return modifier;
+};
diff --git a/invokeai/frontend/web/src/app/components/ImageDnd/typesafeDnd.tsx b/invokeai/frontend/web/src/features/dnd/types/index.ts
similarity index 51%
rename from invokeai/frontend/web/src/app/components/ImageDnd/typesafeDnd.tsx
rename to invokeai/frontend/web/src/features/dnd/types/index.ts
index 6f24302070..294132d0a3 100644
--- a/invokeai/frontend/web/src/app/components/ImageDnd/typesafeDnd.tsx
+++ b/invokeai/frontend/web/src/features/dnd/types/index.ts
@@ -3,7 +3,6 @@ import {
   Active,
   Collision,
   DndContextProps,
-  DndContext as OriginalDndContext,
   Over,
   Translate,
   UseDraggableArguments,
@@ -11,6 +10,10 @@ import {
   useDraggable as useOriginalDraggable,
   useDroppable as useOriginalDroppable,
 } from '@dnd-kit/core';
+import {
+  InputFieldTemplate,
+  InputFieldValue,
+} from 'features/nodes/types/types';
 import { ImageDTO } from 'services/api/types';
 
 type BaseDropData = {
@@ -62,6 +65,10 @@ export type RemoveFromBoardDropData = BaseDropData & {
   actionType: 'REMOVE_FROM_BOARD';
 };
 
+export type AddFieldToLinearViewDropData = BaseDropData & {
+  actionType: 'ADD_FIELD_TO_LINEAR';
+};
+
 export type TypesafeDroppableData =
   | CurrentImageDropData
   | InitialImageDropData
@@ -71,12 +78,22 @@ export type TypesafeDroppableData =
   | AddToBatchDropData
   | NodesMultiImageDropData
   | AddToBoardDropData
-  | RemoveFromBoardDropData;
+  | RemoveFromBoardDropData
+  | AddFieldToLinearViewDropData;
 
 type BaseDragData = {
   id: string;
 };
 
+export type NodeFieldDraggableData = BaseDragData & {
+  payloadType: 'NODE_FIELD';
+  payload: {
+    nodeId: string;
+    field: InputFieldValue;
+    fieldTemplate: InputFieldTemplate;
+  };
+};
+
 export type ImageDraggableData = BaseDragData & {
   payloadType: 'IMAGE_DTO';
   payload: { imageDTO: ImageDTO };
@@ -87,14 +104,17 @@ export type ImageDTOsDraggableData = BaseDragData & {
   payload: { imageDTOs: ImageDTO[] };
 };
 
-export type TypesafeDraggableData = ImageDraggableData | ImageDTOsDraggableData;
+export type TypesafeDraggableData =
+  | NodeFieldDraggableData
+  | ImageDraggableData
+  | ImageDTOsDraggableData;
 
-interface UseDroppableTypesafeArguments
+export interface UseDroppableTypesafeArguments
   extends Omit<UseDroppableArguments, 'data'> {
   data?: TypesafeDroppableData;
 }
 
-type UseDroppableTypesafeReturnValue = Omit<
+export type UseDroppableTypesafeReturnValue = Omit<
   ReturnType<typeof useOriginalDroppable>,
   'active' | 'over'
 > & {
@@ -102,16 +122,12 @@ type UseDroppableTypesafeReturnValue = Omit<
   over: TypesafeOver | null;
 };
 
-export function useDroppable(props: UseDroppableTypesafeArguments) {
-  return useOriginalDroppable(props) as UseDroppableTypesafeReturnValue;
-}
-
-interface UseDraggableTypesafeArguments
+export interface UseDraggableTypesafeArguments
   extends Omit<UseDraggableArguments, 'data'> {
   data?: TypesafeDraggableData;
 }
 
-type UseDraggableTypesafeReturnValue = Omit<
+export type UseDraggableTypesafeReturnValue = Omit<
   ReturnType<typeof useOriginalDraggable>,
   'active' | 'over'
 > & {
@@ -119,102 +135,14 @@ type UseDraggableTypesafeReturnValue = Omit<
   over: TypesafeOver | null;
 };
 
-export function useDraggable(props: UseDraggableTypesafeArguments) {
-  return useOriginalDraggable(props) as UseDraggableTypesafeReturnValue;
-}
-
-interface TypesafeActive extends Omit<Active, 'data'> {
+export interface TypesafeActive extends Omit<Active, 'data'> {
   data: React.MutableRefObject<TypesafeDraggableData | undefined>;
 }
 
-interface TypesafeOver extends Omit<Over, 'data'> {
+export interface TypesafeOver extends Omit<Over, 'data'> {
   data: React.MutableRefObject<TypesafeDroppableData | undefined>;
 }
 
-export const isValidDrop = (
-  overData: TypesafeDroppableData | undefined,
-  active: TypesafeActive | null
-) => {
-  if (!overData || !active?.data.current) {
-    return false;
-  }
-
-  const { actionType } = overData;
-  const { payloadType } = active.data.current;
-
-  if (overData.id === active.data.current.id) {
-    return false;
-  }
-
-  switch (actionType) {
-    case 'SET_CURRENT_IMAGE':
-      return payloadType === 'IMAGE_DTO';
-    case 'SET_INITIAL_IMAGE':
-      return payloadType === 'IMAGE_DTO';
-    case 'SET_CONTROLNET_IMAGE':
-      return payloadType === 'IMAGE_DTO';
-    case 'SET_CANVAS_INITIAL_IMAGE':
-      return payloadType === 'IMAGE_DTO';
-    case 'SET_NODES_IMAGE':
-      return payloadType === 'IMAGE_DTO';
-    case 'SET_MULTI_NODES_IMAGE':
-      return payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS';
-    case 'ADD_TO_BATCH':
-      return payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS';
-    case 'ADD_TO_BOARD': {
-      // If the board is the same, don't allow the drop
-
-      // Check the payload types
-      const isPayloadValid = payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS';
-      if (!isPayloadValid) {
-        return false;
-      }
-
-      // Check if the image's board is the board we are dragging onto
-      if (payloadType === 'IMAGE_DTO') {
-        const { imageDTO } = active.data.current.payload;
-        const currentBoard = imageDTO.board_id ?? 'none';
-        const destinationBoard = overData.context.boardId;
-
-        return currentBoard !== destinationBoard;
-      }
-
-      if (payloadType === 'IMAGE_DTOS') {
-        // TODO (multi-select)
-        return true;
-      }
-
-      return false;
-    }
-    case 'REMOVE_FROM_BOARD': {
-      // If the board is the same, don't allow the drop
-
-      // Check the payload types
-      const isPayloadValid = payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS';
-      if (!isPayloadValid) {
-        return false;
-      }
-
-      // Check if the image's board is the board we are dragging onto
-      if (payloadType === 'IMAGE_DTO') {
-        const { imageDTO } = active.data.current.payload;
-        const currentBoard = imageDTO.board_id;
-
-        return currentBoard !== 'none';
-      }
-
-      if (payloadType === 'IMAGE_DTOS') {
-        // TODO (multi-select)
-        return true;
-      }
-
-      return false;
-    }
-    default:
-      return false;
-  }
-};
-
 interface DragEvent {
   activatorEvent: Event;
   active: TypesafeActive;
@@ -240,6 +168,3 @@ export interface DndContextTypesafeProps
   onDragEnd?(event: DragEndEvent): void;
   onDragCancel?(event: DragCancelEvent): void;
 }
-export function DndContext(props: DndContextTypesafeProps) {
-  return <OriginalDndContext {...props} />;
-}
diff --git a/invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts b/invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts
new file mode 100644
index 0000000000..f704d22dff
--- /dev/null
+++ b/invokeai/frontend/web/src/features/dnd/util/isValidDrop.ts
@@ -0,0 +1,87 @@
+import { TypesafeActive, TypesafeDroppableData } from '../types';
+
+export const isValidDrop = (
+  overData: TypesafeDroppableData | undefined,
+  active: TypesafeActive | null
+) => {
+  if (!overData || !active?.data.current) {
+    return false;
+  }
+
+  const { actionType } = overData;
+  const { payloadType } = active.data.current;
+
+  if (overData.id === active.data.current.id) {
+    return false;
+  }
+
+  switch (actionType) {
+    case 'ADD_FIELD_TO_LINEAR':
+      return payloadType === 'NODE_FIELD';
+    case 'SET_CURRENT_IMAGE':
+      return payloadType === 'IMAGE_DTO';
+    case 'SET_INITIAL_IMAGE':
+      return payloadType === 'IMAGE_DTO';
+    case 'SET_CONTROLNET_IMAGE':
+      return payloadType === 'IMAGE_DTO';
+    case 'SET_CANVAS_INITIAL_IMAGE':
+      return payloadType === 'IMAGE_DTO';
+    case 'SET_NODES_IMAGE':
+      return payloadType === 'IMAGE_DTO';
+    case 'SET_MULTI_NODES_IMAGE':
+      return payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS';
+    case 'ADD_TO_BATCH':
+      return payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS';
+    case 'ADD_TO_BOARD': {
+      // If the board is the same, don't allow the drop
+
+      // Check the payload types
+      const isPayloadValid = payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS';
+      if (!isPayloadValid) {
+        return false;
+      }
+
+      // Check if the image's board is the board we are dragging onto
+      if (payloadType === 'IMAGE_DTO') {
+        const { imageDTO } = active.data.current.payload;
+        const currentBoard = imageDTO.board_id ?? 'none';
+        const destinationBoard = overData.context.boardId;
+
+        return currentBoard !== destinationBoard;
+      }
+
+      if (payloadType === 'IMAGE_DTOS') {
+        // TODO (multi-select)
+        return true;
+      }
+
+      return false;
+    }
+    case 'REMOVE_FROM_BOARD': {
+      // If the board is the same, don't allow the drop
+
+      // Check the payload types
+      const isPayloadValid = payloadType === 'IMAGE_DTO' || 'IMAGE_DTOS';
+      if (!isPayloadValid) {
+        return false;
+      }
+
+      // Check if the image's board is the board we are dragging onto
+      if (payloadType === 'IMAGE_DTO') {
+        const { imageDTO } = active.data.current.payload;
+        const currentBoard = imageDTO.board_id;
+
+        return currentBoard !== 'none';
+      }
+
+      if (payloadType === 'IMAGE_DTOS') {
+        // TODO (multi-select)
+        return true;
+      }
+
+      return false;
+    }
+    default:
+      return false;
+  }
+};
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx
index 228ce7080c..696a8b748b 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GalleryBoard.tsx
@@ -11,7 +11,6 @@ import {
 } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { skipToken } from '@reduxjs/toolkit/dist/query';
-import { AddToBoardDropData } from 'app/components/ImageDnd/typesafeDnd';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
@@ -32,6 +31,7 @@ import { useGetImageDTOQuery } from 'services/api/endpoints/images';
 import { BoardDTO } from 'services/api/types';
 import AutoAddIcon from '../AutoAddIcon';
 import BoardContextMenu from '../BoardContextMenu';
+import { AddToBoardDropData } from 'features/dnd/types';
 
 interface GalleryBoardProps {
   board: BoardDTO;
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GenericBoard.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GenericBoard.tsx
index 0d630c524d..1698a81ac0 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GenericBoard.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/GenericBoard.tsx
@@ -1,7 +1,7 @@
 import { As, Badge, Flex } from '@chakra-ui/react';
-import { TypesafeDroppableData } from 'app/components/ImageDnd/typesafeDnd';
 import IAIDroppable from 'common/components/IAIDroppable';
 import { IAINoContentFallback } from 'common/components/IAIImageFallback';
+import { TypesafeDroppableData } from 'features/dnd/types';
 import { BoardId } from 'features/gallery/store/types';
 import { ReactNode } from 'react';
 import BoardContextMenu from '../BoardContextMenu';
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx
index f1341b1146..fec280db0f 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardsList/NoBoardBoard.tsx
@@ -1,15 +1,15 @@
 import { Box, Flex, Image, Text } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
-import { RemoveFromBoardDropData } from 'app/components/ImageDnd/typesafeDnd';
 import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import InvokeAILogoImage from 'assets/images/logo.png';
 import IAIDroppable from 'common/components/IAIDroppable';
 import SelectionOverlay from 'common/components/SelectionOverlay';
+import { RemoveFromBoardDropData } from 'features/dnd/types';
 import {
-  boardIdSelected,
   autoAddBoardIdChanged,
+  boardIdSelected,
 } from 'features/gallery/store/gallerySlice';
 import { memo, useCallback, useMemo, useState } from 'react';
 import { useBoardName } from 'services/api/hooks/useBoardName';
diff --git a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx
index f78ee286ef..2576c8e9e3 100644
--- a/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/CurrentImage/CurrentImagePreview.tsx
@@ -1,14 +1,14 @@
 import { Box, Flex, Image } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { skipToken } from '@reduxjs/toolkit/dist/query';
-import {
-  TypesafeDraggableData,
-  TypesafeDroppableData,
-} from 'app/components/ImageDnd/typesafeDnd';
 import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
 import IAIDndImage from 'common/components/IAIDndImage';
 import { IAINoContentFallback } from 'common/components/IAIImageFallback';
+import {
+  TypesafeDraggableData,
+  TypesafeDroppableData,
+} from 'features/dnd/types';
 import { useNextPrevImage } from 'features/gallery/hooks/useNextPrevImage';
 import { selectLastSelectedImage } from 'features/gallery/store/gallerySelectors';
 import { AnimatePresence, motion } from 'framer-motion';
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGalleryContent.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGalleryContent.tsx
index f2ff2ad30b..804df49b8e 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGalleryContent.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageGalleryContent.tsx
@@ -52,11 +52,13 @@ const ImageGalleryContent = () => {
 
   return (
     <VStack
+      layerStyle="first"
       sx={{
         flexDirection: 'column',
         h: 'full',
         w: 'full',
         borderRadius: 'base',
+        p: 2,
       }}
     >
       <Box sx={{ w: 'full' }}>
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
index c9eee5f1f5..97f8199aed 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
@@ -1,9 +1,4 @@
 import { Box, Flex } from '@chakra-ui/react';
-import {
-  ImageDTOsDraggableData,
-  ImageDraggableData,
-  TypesafeDraggableData,
-} from 'app/components/ImageDnd/typesafeDnd';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIDndImage from 'common/components/IAIDndImage';
 import IAIFillSkeleton from 'common/components/IAIFillSkeleton';
@@ -12,6 +7,11 @@ import { imagesToDeleteSelected } from 'features/deleteImageModal/store/slice';
 import { MouseEvent, memo, useCallback, useMemo } from 'react';
 import { FaTrash } from 'react-icons/fa';
 import { useGetImageDTOQuery } from 'services/api/endpoints/images';
+import {
+  ImageDTOsDraggableData,
+  ImageDraggableData,
+  TypesafeDraggableData,
+} from 'features/dnd/types';
 
 interface HoverableImageProps {
   imageName: string;
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx
index 4a56fe0e9a..bacd5c38ad 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx
@@ -26,7 +26,7 @@ const overlayScrollbarsConfig: UseOverlayScrollbarsParams = {
   options: {
     scrollbars: {
       visibility: 'auto',
-      autoHide: 'leave',
+      autoHide: 'scroll',
       autoHideDelay: 1300,
       theme: 'os-theme-dark',
     },
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataJSON.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataJSON.tsx
index 590d40438b..69385607de 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataJSON.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataJSON.tsx
@@ -1,26 +1,40 @@
 import { Box, Flex, IconButton, Tooltip } from '@chakra-ui/react';
 import { OverlayScrollbarsComponent } from 'overlayscrollbars-react';
-import { useMemo } from 'react';
-import { FaCopy } from 'react-icons/fa';
+import { useCallback, useMemo } from 'react';
+import { FaCopy, FaSave } from 'react-icons/fa';
 
 type Props = {
-  copyTooltip: string;
+  label: string;
   jsonObject: object;
+  fileName?: string;
 };
 
 const ImageMetadataJSON = (props: Props) => {
-  const { copyTooltip, jsonObject } = props;
+  const { label, jsonObject, fileName } = props;
   const jsonString = useMemo(
     () => JSON.stringify(jsonObject, null, 2),
     [jsonObject]
   );
 
+  const handleCopy = useCallback(() => {
+    navigator.clipboard.writeText(jsonString);
+  }, [jsonString]);
+
+  const handleSave = useCallback(() => {
+    const blob = new Blob([jsonString]);
+    const a = document.createElement('a');
+    a.href = URL.createObjectURL(blob);
+    a.download = `${fileName || label}.json`;
+    document.body.appendChild(a);
+    a.click();
+    a.remove();
+  }, [jsonString, label, fileName]);
+
   return (
     <Flex
+      layerStyle="second"
       sx={{
         borderRadius: 'base',
-        bg: 'whiteAlpha.500',
-        _dark: { bg: 'blackAlpha.500' },
         flexGrow: 1,
         w: 'full',
         h: 'full',
@@ -36,6 +50,7 @@ const ImageMetadataJSON = (props: Props) => {
           bottom: 0,
           overflow: 'auto',
           p: 4,
+          fontSize: 'sm',
         }}
       >
         <OverlayScrollbarsComponent
@@ -44,7 +59,7 @@ const ImageMetadataJSON = (props: Props) => {
           options={{
             scrollbars: {
               visibility: 'auto',
-              autoHide: 'move',
+              autoHide: 'scroll',
               autoHideDelay: 1300,
               theme: 'os-theme-dark',
             },
@@ -54,12 +69,22 @@ const ImageMetadataJSON = (props: Props) => {
         </OverlayScrollbarsComponent>
       </Box>
       <Flex sx={{ position: 'absolute', top: 0, insetInlineEnd: 0, p: 2 }}>
-        <Tooltip label={copyTooltip}>
+        <Tooltip label={`Save ${label} JSON`}>
           <IconButton
-            aria-label={copyTooltip}
+            aria-label={`Save ${label} JSON`}
+            icon={<FaSave />}
+            variant="ghost"
+            opacity={0.7}
+            onClick={handleSave}
+          />
+        </Tooltip>
+        <Tooltip label={`Copy ${label} JSON`}>
+          <IconButton
+            aria-label={`Copy ${label} JSON`}
             icon={<FaCopy />}
             variant="ghost"
-            onClick={() => navigator.clipboard.writeText(jsonString)}
+            opacity={0.7}
+            onClick={handleCopy}
           />
         </Tooltip>
       </Flex>
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx
index e1f2a9e46a..d70aea8a8d 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx
@@ -10,7 +10,8 @@ import {
   Text,
 } from '@chakra-ui/react';
 import { skipToken } from '@reduxjs/toolkit/dist/query';
-import { memo, useMemo } from 'react';
+import { IAINoContentFallback } from 'common/components/IAIImageFallback';
+import { memo } from 'react';
 import { useGetImageMetadataQuery } from 'services/api/endpoints/images';
 import { ImageDTO } from 'services/api/types';
 import { useDebounce } from 'use-debounce';
@@ -41,48 +42,15 @@ const ImageMetadataViewer = ({ image }: ImageMetadataViewerProps) => {
   const metadata = currentData?.metadata;
   const graph = currentData?.graph;
 
-  const tabData = useMemo(() => {
-    const _tabData: { label: string; data: object; copyTooltip: string }[] = [];
-
-    if (metadata) {
-      _tabData.push({
-        label: 'Core Metadata',
-        data: metadata,
-        copyTooltip: 'Copy Core Metadata JSON',
-      });
-    }
-
-    if (image) {
-      _tabData.push({
-        label: 'Image Details',
-        data: image,
-        copyTooltip: 'Copy Image Details JSON',
-      });
-    }
-
-    if (graph) {
-      _tabData.push({
-        label: 'Graph',
-        data: graph,
-        copyTooltip: 'Copy Graph JSON',
-      });
-    }
-    return _tabData;
-  }, [metadata, graph, image]);
-
   return (
     <Flex
+      layerStyle="first"
       sx={{
         padding: 4,
         gap: 1,
         flexDirection: 'column',
         width: 'full',
         height: 'full',
-        backdropFilter: 'blur(20px)',
-        bg: 'baseAlpha.200',
-        _dark: {
-          bg: 'blackAlpha.600',
-        },
         borderRadius: 'base',
         position: 'absolute',
         overflow: 'hidden',
@@ -103,32 +71,33 @@ const ImageMetadataViewer = ({ image }: ImageMetadataViewerProps) => {
         sx={{ display: 'flex', flexDir: 'column', w: 'full', h: 'full' }}
       >
         <TabList>
-          {tabData.map((tab) => (
-            <Tab
-              key={tab.label}
-              sx={{
-                borderTopRadius: 'base',
-              }}
-            >
-              <Text sx={{ color: 'base.700', _dark: { color: 'base.300' } }}>
-                {tab.label}
-              </Text>
-            </Tab>
-          ))}
+          <Tab>Core Metadata</Tab>
+          <Tab>Image Details</Tab>
+          <Tab>Graph</Tab>
         </TabList>
 
-        <TabPanels sx={{ w: 'full', h: 'full' }}>
-          {tabData.map((tab) => (
-            <TabPanel
-              key={tab.label}
-              sx={{ w: 'full', h: 'full', p: 0, pt: 4 }}
-            >
-              <ImageMetadataJSON
-                jsonObject={tab.data}
-                copyTooltip={tab.copyTooltip}
-              />
-            </TabPanel>
-          ))}
+        <TabPanels>
+          <TabPanel>
+            {metadata ? (
+              <ImageMetadataJSON jsonObject={metadata} label="Core Metadata" />
+            ) : (
+              <IAINoContentFallback label="No core metadata found" />
+            )}
+          </TabPanel>
+          <TabPanel>
+            {image ? (
+              <ImageMetadataJSON jsonObject={image} label="Image Details" />
+            ) : (
+              <IAINoContentFallback label="No image details found" />
+            )}
+          </TabPanel>
+          <TabPanel>
+            {graph ? (
+              <ImageMetadataJSON jsonObject={graph} label="Graph" />
+            ) : (
+              <IAINoContentFallback label="No graph found" />
+            )}
+          </TabPanel>
         </TabPanels>
       </Tabs>
     </Flex>
diff --git a/invokeai/frontend/web/src/features/nodes/components/AddNodeMenu.tsx b/invokeai/frontend/web/src/features/nodes/components/AddNodeMenu.tsx
index a1a1acf1f8..a816762d0f 100644
--- a/invokeai/frontend/web/src/features/nodes/components/AddNodeMenu.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/AddNodeMenu.tsx
@@ -9,30 +9,40 @@ import { map } from 'lodash-es';
 import { forwardRef, useCallback } from 'react';
 import 'reactflow/dist/style.css';
 import { AnyInvocationType } from 'services/events/types';
-import { useBuildInvocation } from '../hooks/useBuildInvocation';
+import { useBuildNodeData } from '../hooks/useBuildNodeData';
 import { nodeAdded } from '../store/nodesSlice';
 
 type NodeTemplate = {
   label: string;
   value: string;
   description: string;
+  tags: string[];
 };
 
 const selector = createSelector(
   [stateSelector],
   ({ nodes }) => {
-    const data: NodeTemplate[] = map(nodes.invocationTemplates, (template) => {
+    const data: NodeTemplate[] = map(nodes.nodeTemplates, (template) => {
       return {
         label: template.title,
         value: template.type,
         description: template.description,
+        tags: template.tags,
       };
     });
 
     data.push({
       label: 'Progress Image',
-      value: 'progress_image',
-      description: 'Displays the progress image in the Node Editor',
+      value: 'current_image',
+      description: 'Displays the current image in the Node Editor',
+      tags: ['progress'],
+    });
+
+    data.push({
+      label: 'Notes',
+      value: 'notes',
+      description: 'Add notes about your workflow',
+      tags: ['notes'],
     });
 
     return { data };
@@ -44,7 +54,7 @@ const AddNodeMenu = () => {
   const dispatch = useAppDispatch();
   const { data } = useAppSelector(selector);
 
-  const buildInvocation = useBuildInvocation();
+  const buildInvocation = useBuildNodeData();
 
   const toaster = useAppToaster();
 
@@ -89,11 +99,12 @@ const AddNodeMenu = () => {
         filter={(value, item: NodeTemplate) =>
           item.label.toLowerCase().includes(value.toLowerCase().trim()) ||
           item.value.toLowerCase().includes(value.toLowerCase().trim()) ||
-          item.description.toLowerCase().includes(value.toLowerCase().trim())
+          item.description.toLowerCase().includes(value.toLowerCase().trim()) ||
+          item.tags.includes(value.toLowerCase().trim())
         }
         onChange={handleChange}
         sx={{
-          width: '18rem',
+          width: '24rem',
         }}
       />
     </Flex>
diff --git a/invokeai/frontend/web/src/features/nodes/components/CustomConnectionLine.tsx b/invokeai/frontend/web/src/features/nodes/components/CustomConnectionLine.tsx
new file mode 100644
index 0000000000..678d8e3d1d
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/CustomConnectionLine.tsx
@@ -0,0 +1,61 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { ConnectionLineComponentProps, getBezierPath } from 'reactflow';
+import { FIELDS, colorTokenToCssVar } from '../types/constants';
+
+const selector = createSelector(stateSelector, ({ nodes }) => {
+  const { shouldAnimateEdges, currentConnectionFieldType, shouldColorEdges } =
+    nodes;
+
+  const stroke =
+    currentConnectionFieldType && shouldColorEdges
+      ? colorTokenToCssVar(FIELDS[currentConnectionFieldType].color)
+      : colorTokenToCssVar('base.500');
+
+  let className = 'react-flow__custom_connection-path';
+
+  if (shouldAnimateEdges) {
+    className = className.concat(' animated');
+  }
+
+  return {
+    stroke,
+    className,
+  };
+});
+
+export const CustomConnectionLine = ({
+  fromX,
+  fromY,
+  fromPosition,
+  toX,
+  toY,
+  toPosition,
+}: ConnectionLineComponentProps) => {
+  const { stroke, className } = useAppSelector(selector);
+
+  const pathParams = {
+    sourceX: fromX,
+    sourceY: fromY,
+    sourcePosition: fromPosition,
+    targetX: toX,
+    targetY: toY,
+    targetPosition: toPosition,
+  };
+
+  const [dAttr] = getBezierPath(pathParams);
+
+  return (
+    <g>
+      <path
+        fill="none"
+        stroke={stroke}
+        strokeWidth={2}
+        className={className}
+        d={dAttr}
+        style={{ opacity: 0.8 }}
+      />
+    </g>
+  );
+};
diff --git a/invokeai/frontend/web/src/features/nodes/components/CustomEdges.tsx b/invokeai/frontend/web/src/features/nodes/components/CustomEdges.tsx
new file mode 100644
index 0000000000..e0ccc6e323
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/CustomEdges.tsx
@@ -0,0 +1,183 @@
+import { Badge, Flex } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { useChakraThemeTokens } from 'common/hooks/useChakraThemeTokens';
+import { useMemo } from 'react';
+import {
+  BaseEdge,
+  EdgeLabelRenderer,
+  EdgeProps,
+  getBezierPath,
+} from 'reactflow';
+import { FIELDS, colorTokenToCssVar } from '../types/constants';
+import { isInvocationNode } from '../types/types';
+
+const makeEdgeSelector = (
+  source: string,
+  sourceHandleId: string | null | undefined,
+  target: string,
+  targetHandleId: string | null | undefined,
+  selected?: boolean
+) =>
+  createSelector(stateSelector, ({ nodes }) => {
+    const sourceNode = nodes.nodes.find((node) => node.id === source);
+    const targetNode = nodes.nodes.find((node) => node.id === target);
+
+    const isInvocationToInvocationEdge =
+      isInvocationNode(sourceNode) && isInvocationNode(targetNode);
+
+    const isSelected = sourceNode?.selected || targetNode?.selected || selected;
+    const sourceType = isInvocationToInvocationEdge
+      ? sourceNode?.data?.outputs[sourceHandleId || '']?.type
+      : undefined;
+
+    const stroke =
+      sourceType && nodes.shouldColorEdges
+        ? colorTokenToCssVar(FIELDS[sourceType].color)
+        : colorTokenToCssVar('base.500');
+
+    return {
+      isSelected,
+      shouldAnimate: nodes.shouldAnimateEdges && isSelected,
+      stroke,
+    };
+  });
+
+const CollapsedEdge = ({
+  sourceX,
+  sourceY,
+  targetX,
+  targetY,
+  sourcePosition,
+  targetPosition,
+  markerEnd,
+  data,
+  selected,
+  source,
+  target,
+  sourceHandleId,
+  targetHandleId,
+}: EdgeProps<{ count: number }>) => {
+  const selector = useMemo(
+    () =>
+      makeEdgeSelector(
+        source,
+        sourceHandleId,
+        target,
+        targetHandleId,
+        selected
+      ),
+    [selected, source, sourceHandleId, target, targetHandleId]
+  );
+
+  const { isSelected, shouldAnimate } = useAppSelector(selector);
+
+  const [edgePath, labelX, labelY] = getBezierPath({
+    sourceX,
+    sourceY,
+    sourcePosition,
+    targetX,
+    targetY,
+    targetPosition,
+  });
+
+  const { base500 } = useChakraThemeTokens();
+
+  return (
+    <>
+      <BaseEdge
+        path={edgePath}
+        markerEnd={markerEnd}
+        style={{
+          strokeWidth: isSelected ? 3 : 2,
+          stroke: base500,
+          opacity: isSelected ? 0.8 : 0.5,
+          animation: shouldAnimate
+            ? 'dashdraw 0.5s linear infinite'
+            : undefined,
+          strokeDasharray: shouldAnimate ? 5 : 'none',
+        }}
+      />
+      {data?.count && data.count > 1 && (
+        <EdgeLabelRenderer>
+          <Flex
+            sx={{
+              position: 'absolute',
+              transform: `translate(-50%, -50%) translate(${labelX}px,${labelY}px)`,
+            }}
+            className="nodrag nopan"
+          >
+            <Badge
+              variant="solid"
+              sx={{
+                bg: 'base.500',
+                opacity: isSelected ? 0.8 : 0.5,
+                boxShadow: 'base',
+              }}
+            >
+              {data.count}
+            </Badge>
+          </Flex>
+        </EdgeLabelRenderer>
+      )}
+    </>
+  );
+};
+
+const DefaultEdge = ({
+  sourceX,
+  sourceY,
+  targetX,
+  targetY,
+  sourcePosition,
+  targetPosition,
+  markerEnd,
+  selected,
+  source,
+  target,
+  sourceHandleId,
+  targetHandleId,
+}: EdgeProps) => {
+  const selector = useMemo(
+    () =>
+      makeEdgeSelector(
+        source,
+        sourceHandleId,
+        target,
+        targetHandleId,
+        selected
+      ),
+    [source, sourceHandleId, target, targetHandleId, selected]
+  );
+
+  const { isSelected, shouldAnimate, stroke } = useAppSelector(selector);
+
+  const [edgePath] = getBezierPath({
+    sourceX,
+    sourceY,
+    sourcePosition,
+    targetX,
+    targetY,
+    targetPosition,
+  });
+
+  return (
+    <BaseEdge
+      path={edgePath}
+      markerEnd={markerEnd}
+      style={{
+        strokeWidth: isSelected ? 3 : 2,
+        stroke,
+        opacity: isSelected ? 0.8 : 0.5,
+        animation: shouldAnimate ? 'dashdraw 0.5s linear infinite' : undefined,
+        strokeDasharray: shouldAnimate ? 5 : 'none',
+      }}
+    />
+  );
+};
+
+export const edgeTypes = {
+  collapsed: CollapsedEdge,
+  default: DefaultEdge,
+};
diff --git a/invokeai/frontend/web/src/features/nodes/components/CustomNodes.tsx b/invokeai/frontend/web/src/features/nodes/components/CustomNodes.tsx
new file mode 100644
index 0000000000..3aacb3cd58
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/CustomNodes.tsx
@@ -0,0 +1,9 @@
+import InvocationNode from './nodes/InvocationNode';
+import CurrentImageNode from './nodes/CurrentImageNode';
+import NotesNode from './nodes/NotesNode';
+
+export const nodeTypes = {
+  invocation: InvocationNode,
+  current_image: CurrentImageNode,
+  notes: NotesNode,
+};
diff --git a/invokeai/frontend/web/src/features/nodes/components/FieldHandle.tsx b/invokeai/frontend/web/src/features/nodes/components/FieldHandle.tsx
deleted file mode 100644
index 86099a7315..0000000000
--- a/invokeai/frontend/web/src/features/nodes/components/FieldHandle.tsx
+++ /dev/null
@@ -1,64 +0,0 @@
-import { Tooltip } from '@chakra-ui/react';
-import { CSSProperties, memo } from 'react';
-import { Handle, Position, Connection, HandleType } from 'reactflow';
-import { FIELDS, HANDLE_TOOLTIP_OPEN_DELAY } from '../types/constants';
-// import { useConnectionEventStyles } from '../hooks/useConnectionEventStyles';
-import { InputFieldTemplate, OutputFieldTemplate } from '../types/types';
-
-const handleBaseStyles: CSSProperties = {
-  position: 'absolute',
-  width: '1rem',
-  height: '1rem',
-  borderWidth: 0,
-};
-
-const inputHandleStyles: CSSProperties = {
-  left: '-1rem',
-};
-
-const outputHandleStyles: CSSProperties = {
-  right: '-0.5rem',
-};
-
-// const requiredConnectionStyles: CSSProperties = {
-//   boxShadow: '0 0 0.5rem 0.5rem var(--invokeai-colors-error-400)',
-// };
-
-type FieldHandleProps = {
-  nodeId: string;
-  field: InputFieldTemplate | OutputFieldTemplate;
-  isValidConnection: (connection: Connection) => boolean;
-  handleType: HandleType;
-  styles?: CSSProperties;
-};
-
-const FieldHandle = (props: FieldHandleProps) => {
-  const { field, isValidConnection, handleType, styles } = props;
-  const { name, type } = field;
-
-  return (
-    <Tooltip
-      label={type}
-      placement={handleType === 'target' ? 'start' : 'end'}
-      hasArrow
-      openDelay={HANDLE_TOOLTIP_OPEN_DELAY}
-    >
-      <Handle
-        type={handleType}
-        id={name}
-        isValidConnection={isValidConnection}
-        position={handleType === 'target' ? Position.Left : Position.Right}
-        style={{
-          backgroundColor: FIELDS[type].colorCssVar,
-          ...styles,
-          ...handleBaseStyles,
-          ...(handleType === 'target' ? inputHandleStyles : outputHandleStyles),
-          // ...(inputRequirement === 'always' ? requiredConnectionStyles : {}),
-          // ...connectionEventStyles,
-        }}
-      />
-    </Tooltip>
-  );
-};
-
-export default memo(FieldHandle);
diff --git a/invokeai/frontend/web/src/features/nodes/components/FieldTypeLegend.tsx b/invokeai/frontend/web/src/features/nodes/components/FieldTypeLegend.tsx
index 78316cc694..a523cc29fe 100644
--- a/invokeai/frontend/web/src/features/nodes/components/FieldTypeLegend.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/FieldTypeLegend.tsx
@@ -1,8 +1,8 @@
-import 'reactflow/dist/style.css';
-import { Tooltip, Badge, Flex } from '@chakra-ui/react';
+import { Badge, Flex, Tooltip } from '@chakra-ui/react';
 import { map } from 'lodash-es';
-import { FIELDS } from '../types/constants';
 import { memo } from 'react';
+import 'reactflow/dist/style.css';
+import { FIELDS } from '../types/constants';
 
 const FieldTypeLegend = () => {
   return (
@@ -10,8 +10,14 @@ const FieldTypeLegend = () => {
       {map(FIELDS, ({ title, description, color }, key) => (
         <Tooltip key={key} label={description}>
           <Badge
-            colorScheme={color}
-            sx={{ userSelect: 'none' }}
+            sx={{
+              userSelect: 'none',
+              color:
+                parseInt(color.split('.')[1] ?? '0', 10) < 500
+                  ? 'base.800'
+                  : 'base.50',
+              bg: color,
+            }}
             textAlign="center"
           >
             {title}
diff --git a/invokeai/frontend/web/src/features/nodes/components/Flow.tsx b/invokeai/frontend/web/src/features/nodes/components/Flow.tsx
index 7b0718182b..71062e9774 100644
--- a/invokeai/frontend/web/src/features/nodes/components/Flow.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Flow.tsx
@@ -1,4 +1,3 @@
-import { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { useCallback } from 'react';
 import {
@@ -7,35 +6,49 @@ import {
   OnConnectEnd,
   OnConnectStart,
   OnEdgesChange,
+  OnEdgesDelete,
   OnInit,
+  OnMove,
   OnNodesChange,
+  OnNodesDelete,
+  OnSelectionChangeFunc,
+  ProOptions,
   ReactFlow,
 } from 'reactflow';
+import { useIsValidConnection } from '../hooks/useIsValidConnection';
 import {
   connectionEnded,
   connectionMade,
   connectionStarted,
   edgesChanged,
+  edgesDeleted,
   nodesChanged,
-  setEditorInstance,
+  nodesDeleted,
+  selectedEdgesChanged,
+  selectedNodesChanged,
+  zoomChanged,
 } from '../store/nodesSlice';
-import { InvocationComponent } from './InvocationComponent';
-import ProgressImageNode from './ProgressImageNode';
-import BottomLeftPanel from './panels/BottomLeftPanel.tsx';
-import MinimapPanel from './panels/MinimapPanel';
-import TopCenterPanel from './panels/TopCenterPanel';
-import TopLeftPanel from './panels/TopLeftPanel';
-import TopRightPanel from './panels/TopRightPanel';
+import { CustomConnectionLine } from './CustomConnectionLine';
+import { edgeTypes } from './CustomEdges';
+import { nodeTypes } from './CustomNodes';
+import BottomLeftPanel from './editorPanels/BottomLeftPanel';
+import MinimapPanel from './editorPanels/MinimapPanel';
+import TopCenterPanel from './editorPanels/TopCenterPanel';
+import TopLeftPanel from './editorPanels/TopLeftPanel';
+import TopRightPanel from './editorPanels/TopRightPanel';
 
-const nodeTypes = {
-  invocation: InvocationComponent,
-  progress_image: ProgressImageNode,
-};
+// TODO: can we support reactflow? if not, we could style the attribution so it matches the app
+const proOptions: ProOptions = { hideAttribution: true };
 
 export const Flow = () => {
   const dispatch = useAppDispatch();
-  const nodes = useAppSelector((state: RootState) => state.nodes.nodes);
-  const edges = useAppSelector((state: RootState) => state.nodes.edges);
+  const nodes = useAppSelector((state) => state.nodes.nodes);
+  const edges = useAppSelector((state) => state.nodes.edges);
+  const shouldSnapToGrid = useAppSelector(
+    (state) => state.nodes.shouldSnapToGrid
+  );
+
+  const isValidConnection = useIsValidConnection();
 
   const onNodesChange: OnNodesChange = useCallback(
     (changes) => {
@@ -69,10 +82,36 @@ export const Flow = () => {
     dispatch(connectionEnded());
   }, [dispatch]);
 
-  const onInit: OnInit = useCallback(
-    (v) => {
-      dispatch(setEditorInstance(v));
-      if (v) v.fitView();
+  const onInit: OnInit = useCallback((v) => {
+    v.fitView();
+  }, []);
+
+  const onEdgesDelete: OnEdgesDelete = useCallback(
+    (edges) => {
+      dispatch(edgesDeleted(edges));
+    },
+    [dispatch]
+  );
+
+  const onNodesDelete: OnNodesDelete = useCallback(
+    (nodes) => {
+      dispatch(nodesDeleted(nodes));
+    },
+    [dispatch]
+  );
+
+  const handleSelectionChange: OnSelectionChangeFunc = useCallback(
+    ({ nodes, edges }) => {
+      dispatch(selectedNodesChanged(nodes ? nodes.map((n) => n.id) : []));
+      dispatch(selectedEdgesChanged(edges ? edges.map((e) => e.id) : []));
+    },
+    [dispatch]
+  );
+
+  const handleMove: OnMove = useCallback(
+    (e, viewport) => {
+      const { zoom } = viewport;
+      dispatch(zoomChanged(zoom));
     },
     [dispatch]
   );
@@ -80,24 +119,33 @@ export const Flow = () => {
   return (
     <ReactFlow
       nodeTypes={nodeTypes}
+      edgeTypes={edgeTypes}
       nodes={nodes}
       edges={edges}
       onNodesChange={onNodesChange}
       onEdgesChange={onEdgesChange}
+      onEdgesDelete={onEdgesDelete}
+      onNodesDelete={onNodesDelete}
       onConnectStart={onConnectStart}
       onConnect={onConnect}
       onConnectEnd={onConnectEnd}
+      onMove={handleMove}
+      connectionLineComponent={CustomConnectionLine}
+      onSelectionChange={handleSelectionChange}
       onInit={onInit}
-      defaultEdgeOptions={{
-        style: { strokeWidth: 2 },
-      }}
+      isValidConnection={isValidConnection}
+      minZoom={0.2}
+      snapToGrid={shouldSnapToGrid}
+      snapGrid={[25, 25]}
+      connectionRadius={30}
+      proOptions={proOptions}
     >
       <TopLeftPanel />
       <TopCenterPanel />
       <TopRightPanel />
       <BottomLeftPanel />
-      <Background />
       <MinimapPanel />
+      <Background />
     </ReactFlow>
   );
 };
diff --git a/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeHeader.tsx b/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeHeader.tsx
deleted file mode 100644
index 7b56bc95b4..0000000000
--- a/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeHeader.tsx
+++ /dev/null
@@ -1,55 +0,0 @@
-import { Flex, Heading, Icon, Tooltip } from '@chakra-ui/react';
-import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/hooks/useBuildInvocation';
-import { memo } from 'react';
-import { FaInfoCircle } from 'react-icons/fa';
-
-interface IAINodeHeaderProps {
-  nodeId?: string;
-  title?: string;
-  description?: string;
-}
-
-const IAINodeHeader = (props: IAINodeHeaderProps) => {
-  const { nodeId, title, description } = props;
-  return (
-    <Flex
-      className={DRAG_HANDLE_CLASSNAME}
-      sx={{
-        borderTopRadius: 'md',
-        alignItems: 'center',
-        justifyContent: 'space-between',
-        px: 2,
-        py: 1,
-        bg: 'base.100',
-        _dark: { bg: 'base.900' },
-      }}
-    >
-      <Tooltip label={nodeId}>
-        <Heading
-          size="xs"
-          sx={{
-            fontWeight: 600,
-            color: 'base.900',
-            _dark: { color: 'base.200' },
-          }}
-        >
-          {title}
-        </Heading>
-      </Tooltip>
-      <Tooltip label={description} placement="top" hasArrow shouldWrapChildren>
-        <Icon
-          sx={{
-            h: 'min-content',
-            color: 'base.700',
-            _dark: {
-              color: 'base.300',
-            },
-          }}
-          as={FaInfoCircle}
-        />
-      </Tooltip>
-    </Flex>
-  );
-};
-
-export default memo(IAINodeHeader);
diff --git a/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeInputs.tsx b/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeInputs.tsx
deleted file mode 100644
index 6f779e4295..0000000000
--- a/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeInputs.tsx
+++ /dev/null
@@ -1,149 +0,0 @@
-import {
-  Box,
-  Divider,
-  Flex,
-  FormControl,
-  FormLabel,
-  HStack,
-  Tooltip,
-} from '@chakra-ui/react';
-import { RootState } from 'app/store/store';
-import { useAppSelector } from 'app/store/storeHooks';
-import { useIsValidConnection } from 'features/nodes/hooks/useIsValidConnection';
-import { HANDLE_TOOLTIP_OPEN_DELAY } from 'features/nodes/types/constants';
-import {
-  InputFieldTemplate,
-  InputFieldValue,
-  InvocationTemplate,
-} from 'features/nodes/types/types';
-import { map } from 'lodash-es';
-import { ReactNode, memo, useCallback } from 'react';
-import FieldHandle from '../FieldHandle';
-import InputFieldComponent from '../InputFieldComponent';
-
-interface IAINodeInputProps {
-  nodeId: string;
-
-  input: InputFieldValue;
-  template?: InputFieldTemplate | undefined;
-  connected: boolean;
-}
-
-function IAINodeInput(props: IAINodeInputProps) {
-  const { nodeId, input, template, connected } = props;
-  const isValidConnection = useIsValidConnection();
-
-  return (
-    <Box
-      className="nopan"
-      position="relative"
-      borderColor={
-        !template
-          ? 'error.400'
-          : !connected &&
-            ['always', 'connectionOnly'].includes(
-              String(template?.inputRequirement)
-            ) &&
-            input.value === undefined
-          ? 'warning.400'
-          : undefined
-      }
-    >
-      <FormControl isDisabled={!template ? true : connected} pl={2}>
-        {!template ? (
-          <HStack justifyContent="space-between" alignItems="center">
-            <FormLabel>Unknown input: {input.name}</FormLabel>
-          </HStack>
-        ) : (
-          <>
-            <HStack justifyContent="space-between" alignItems="center">
-              <HStack>
-                <Tooltip
-                  label={template?.description}
-                  placement="top"
-                  hasArrow
-                  shouldWrapChildren
-                  openDelay={HANDLE_TOOLTIP_OPEN_DELAY}
-                >
-                  <FormLabel>{template?.title}</FormLabel>
-                </Tooltip>
-              </HStack>
-              <InputFieldComponent
-                nodeId={nodeId}
-                field={input}
-                template={template}
-              />
-            </HStack>
-
-            {!['never', 'directOnly'].includes(
-              template?.inputRequirement ?? ''
-            ) && (
-              <FieldHandle
-                nodeId={nodeId}
-                field={template}
-                isValidConnection={isValidConnection}
-                handleType="target"
-              />
-            )}
-          </>
-        )}
-      </FormControl>
-    </Box>
-  );
-}
-
-interface IAINodeInputsProps {
-  nodeId: string;
-  template: InvocationTemplate;
-  inputs: Record<string, InputFieldValue>;
-}
-
-const IAINodeInputs = (props: IAINodeInputsProps) => {
-  const { nodeId, template, inputs } = props;
-
-  const edges = useAppSelector((state: RootState) => state.nodes.edges);
-
-  const renderIAINodeInputs = useCallback(() => {
-    const IAINodeInputsToRender: ReactNode[] = [];
-    const inputSockets = map(inputs);
-
-    inputSockets.forEach((inputSocket, index) => {
-      const inputTemplate = template.inputs[inputSocket.name];
-
-      const isConnected = Boolean(
-        edges.filter((connectedInput) => {
-          return (
-            connectedInput.target === nodeId &&
-            connectedInput.targetHandle === inputSocket.name
-          );
-        }).length
-      );
-
-      if (index < inputSockets.length) {
-        IAINodeInputsToRender.push(
-          <Divider key={`${inputSocket.id}.divider`} />
-        );
-      }
-
-      IAINodeInputsToRender.push(
-        <IAINodeInput
-          key={inputSocket.id}
-          nodeId={nodeId}
-          input={inputSocket}
-          template={inputTemplate}
-          connected={isConnected}
-        />
-      );
-    });
-
-    return (
-      <Flex className="nopan" flexDir="column" gap={2} p={2}>
-        {IAINodeInputsToRender}
-      </Flex>
-    );
-  }, [edges, inputs, nodeId, template.inputs]);
-
-  return renderIAINodeInputs();
-};
-
-export default memo(IAINodeInputs);
diff --git a/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeOutputs.tsx b/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeOutputs.tsx
deleted file mode 100644
index 2cb0bcde8d..0000000000
--- a/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeOutputs.tsx
+++ /dev/null
@@ -1,97 +0,0 @@
-import {
-  InvocationTemplate,
-  OutputFieldTemplate,
-  OutputFieldValue,
-} from 'features/nodes/types/types';
-import { memo, ReactNode, useCallback } from 'react';
-import { map } from 'lodash-es';
-import { useAppSelector } from 'app/store/storeHooks';
-import { RootState } from 'app/store/store';
-import { Box, Flex, FormControl, FormLabel, HStack } from '@chakra-ui/react';
-import FieldHandle from '../FieldHandle';
-import { useIsValidConnection } from 'features/nodes/hooks/useIsValidConnection';
-
-interface IAINodeOutputProps {
-  nodeId: string;
-  output: OutputFieldValue;
-  template?: OutputFieldTemplate | undefined;
-  connected: boolean;
-}
-
-function IAINodeOutput(props: IAINodeOutputProps) {
-  const { nodeId, output, template, connected } = props;
-  const isValidConnection = useIsValidConnection();
-
-  return (
-    <Box position="relative">
-      <FormControl isDisabled={!template ? true : connected} paddingRight={3}>
-        {!template ? (
-          <HStack justifyContent="space-between" alignItems="center">
-            <FormLabel color="error.400">
-              Unknown Output: {output.name}
-            </FormLabel>
-          </HStack>
-        ) : (
-          <>
-            <FormLabel textAlign="end" padding={1}>
-              {template?.title}
-            </FormLabel>
-            <FieldHandle
-              key={output.id}
-              nodeId={nodeId}
-              field={template}
-              isValidConnection={isValidConnection}
-              handleType="source"
-            />
-          </>
-        )}
-      </FormControl>
-    </Box>
-  );
-}
-
-interface IAINodeOutputsProps {
-  nodeId: string;
-  template: InvocationTemplate;
-  outputs: Record<string, OutputFieldValue>;
-}
-
-const IAINodeOutputs = (props: IAINodeOutputsProps) => {
-  const { nodeId, template, outputs } = props;
-
-  const edges = useAppSelector((state: RootState) => state.nodes.edges);
-
-  const renderIAINodeOutputs = useCallback(() => {
-    const IAINodeOutputsToRender: ReactNode[] = [];
-    const outputSockets = map(outputs);
-
-    outputSockets.forEach((outputSocket) => {
-      const outputTemplate = template.outputs[outputSocket.name];
-
-      const isConnected = Boolean(
-        edges.filter((connectedInput) => {
-          return (
-            connectedInput.source === nodeId &&
-            connectedInput.sourceHandle === outputSocket.name
-          );
-        }).length
-      );
-
-      IAINodeOutputsToRender.push(
-        <IAINodeOutput
-          key={outputSocket.id}
-          nodeId={nodeId}
-          output={outputSocket}
-          template={outputTemplate}
-          connected={isConnected}
-        />
-      );
-    });
-
-    return <Flex flexDir="column">{IAINodeOutputsToRender}</Flex>;
-  }, [edges, nodeId, outputs, template.outputs]);
-
-  return renderIAINodeOutputs();
-};
-
-export default memo(IAINodeOutputs);
diff --git a/invokeai/frontend/web/src/features/nodes/components/InputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/InputFieldComponent.tsx
deleted file mode 100644
index 0ecc43ef9c..0000000000
--- a/invokeai/frontend/web/src/features/nodes/components/InputFieldComponent.tsx
+++ /dev/null
@@ -1,252 +0,0 @@
-import { Box } from '@chakra-ui/react';
-import { memo } from 'react';
-import { InputFieldTemplate, InputFieldValue } from '../types/types';
-import ArrayInputFieldComponent from './fields/ArrayInputFieldComponent';
-import BooleanInputFieldComponent from './fields/BooleanInputFieldComponent';
-import ClipInputFieldComponent from './fields/ClipInputFieldComponent';
-import ColorInputFieldComponent from './fields/ColorInputFieldComponent';
-import ConditioningInputFieldComponent from './fields/ConditioningInputFieldComponent';
-import ControlInputFieldComponent from './fields/ControlInputFieldComponent';
-import ControlNetModelInputFieldComponent from './fields/ControlNetModelInputFieldComponent';
-import EnumInputFieldComponent from './fields/EnumInputFieldComponent';
-import ImageCollectionInputFieldComponent from './fields/ImageCollectionInputFieldComponent';
-import ImageInputFieldComponent from './fields/ImageInputFieldComponent';
-import ItemInputFieldComponent from './fields/ItemInputFieldComponent';
-import LatentsInputFieldComponent from './fields/LatentsInputFieldComponent';
-import LoRAModelInputFieldComponent from './fields/LoRAModelInputFieldComponent';
-import ModelInputFieldComponent from './fields/ModelInputFieldComponent';
-import NumberInputFieldComponent from './fields/NumberInputFieldComponent';
-import StringInputFieldComponent from './fields/StringInputFieldComponent';
-import UnetInputFieldComponent from './fields/UnetInputFieldComponent';
-import VaeInputFieldComponent from './fields/VaeInputFieldComponent';
-import VaeModelInputFieldComponent from './fields/VaeModelInputFieldComponent';
-import RefinerModelInputFieldComponent from './fields/RefinerModelInputFieldComponent';
-
-type InputFieldComponentProps = {
-  nodeId: string;
-  field: InputFieldValue;
-  template: InputFieldTemplate;
-};
-
-// build an individual input element based on the schema
-const InputFieldComponent = (props: InputFieldComponentProps) => {
-  const { nodeId, field, template } = props;
-  const { type } = field;
-
-  if (type === 'string' && template.type === 'string') {
-    return (
-      <StringInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'boolean' && template.type === 'boolean') {
-    return (
-      <BooleanInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (
-    (type === 'integer' && template.type === 'integer') ||
-    (type === 'float' && template.type === 'float')
-  ) {
-    return (
-      <NumberInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'enum' && template.type === 'enum') {
-    return (
-      <EnumInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'image' && template.type === 'image') {
-    return (
-      <ImageInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'latents' && template.type === 'latents') {
-    return (
-      <LatentsInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'conditioning' && template.type === 'conditioning') {
-    return (
-      <ConditioningInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'unet' && template.type === 'unet') {
-    return (
-      <UnetInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'clip' && template.type === 'clip') {
-    return (
-      <ClipInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'vae' && template.type === 'vae') {
-    return (
-      <VaeInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'control' && template.type === 'control') {
-    return (
-      <ControlInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'model' && template.type === 'model') {
-    return (
-      <ModelInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'refiner_model' && template.type === 'refiner_model') {
-    return (
-      <RefinerModelInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'vae_model' && template.type === 'vae_model') {
-    return (
-      <VaeModelInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'lora_model' && template.type === 'lora_model') {
-    return (
-      <LoRAModelInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'controlnet_model' && template.type === 'controlnet_model') {
-    return (
-      <ControlNetModelInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'array' && template.type === 'array') {
-    return (
-      <ArrayInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'item' && template.type === 'item') {
-    return (
-      <ItemInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'color' && template.type === 'color') {
-    return (
-      <ColorInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'item' && template.type === 'item') {
-    return (
-      <ItemInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  if (type === 'image_collection' && template.type === 'image_collection') {
-    return (
-      <ImageCollectionInputFieldComponent
-        nodeId={nodeId}
-        field={field}
-        template={template}
-      />
-    );
-  }
-
-  return <Box p={2}>Unknown field type: {type}</Box>;
-};
-
-export default memo(InputFieldComponent);
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapseButton.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapseButton.tsx
new file mode 100644
index 0000000000..d67ca10dcc
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapseButton.tsx
@@ -0,0 +1,57 @@
+import { ChevronUpIcon } from '@chakra-ui/icons';
+import { useAppDispatch } from 'app/store/storeHooks';
+import IAIIconButton from 'common/components/IAIIconButton';
+import { nodeIsOpenChanged } from 'features/nodes/store/nodesSlice';
+import { NodeData } from 'features/nodes/types/types';
+import { memo, useCallback } from 'react';
+import { NodeProps, useUpdateNodeInternals } from 'reactflow';
+
+interface Props {
+  nodeProps: NodeProps<NodeData>;
+}
+
+const NodeCollapseButton = (props: Props) => {
+  const { id: nodeId, isOpen } = props.nodeProps.data;
+  const dispatch = useAppDispatch();
+  const updateNodeInternals = useUpdateNodeInternals();
+
+  const handleClick = useCallback(() => {
+    dispatch(nodeIsOpenChanged({ nodeId, isOpen: !isOpen }));
+    updateNodeInternals(nodeId);
+  }, [dispatch, isOpen, nodeId, updateNodeInternals]);
+
+  return (
+    <IAIIconButton
+      className="nopan"
+      onClick={handleClick}
+      aria-label="Minimize"
+      sx={{
+        minW: 8,
+        w: 8,
+        h: 8,
+        color: 'base.500',
+        _dark: {
+          color: 'base.500',
+        },
+        _hover: {
+          color: 'base.700',
+          _dark: {
+            color: 'base.300',
+          },
+        },
+      }}
+      variant="link"
+      icon={
+        <ChevronUpIcon
+          sx={{
+            transform: isOpen ? 'rotate(0deg)' : 'rotate(180deg)',
+            transitionProperty: 'common',
+            transitionDuration: 'normal',
+          }}
+        />
+      }
+    />
+  );
+};
+
+export default memo(NodeCollapseButton);
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapsedHandles.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapsedHandles.tsx
new file mode 100644
index 0000000000..ece24f6f8c
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapsedHandles.tsx
@@ -0,0 +1,74 @@
+import { useColorModeValue } from '@chakra-ui/react';
+import { useChakraThemeTokens } from 'common/hooks/useChakraThemeTokens';
+import {
+  InvocationNodeData,
+  InvocationTemplate,
+} from 'features/nodes/types/types';
+import { map } from 'lodash-es';
+import { CSSProperties, memo, useMemo } from 'react';
+import { Handle, NodeProps, Position } from 'reactflow';
+
+interface Props {
+  nodeProps: NodeProps<InvocationNodeData>;
+  nodeTemplate: InvocationTemplate;
+}
+
+const NodeCollapsedHandles = (props: Props) => {
+  const { data } = props.nodeProps;
+  const { base400, base600 } = useChakraThemeTokens();
+  const backgroundColor = useColorModeValue(base400, base600);
+
+  const dummyHandleStyles: CSSProperties = useMemo(
+    () => ({
+      borderWidth: 0,
+      borderRadius: '3px',
+      width: '1rem',
+      height: '1rem',
+      backgroundColor,
+      zIndex: -1,
+    }),
+    [backgroundColor]
+  );
+
+  return (
+    <>
+      <Handle
+        type="target"
+        id={`${data.id}-collapsed-target`}
+        isConnectable={false}
+        position={Position.Left}
+        style={{ ...dummyHandleStyles, left: '-0.5rem' }}
+      />
+      {map(data.inputs, (input) => (
+        <Handle
+          key={`${data.id}-${input.name}-collapsed-input-handle`}
+          type="target"
+          id={input.name}
+          isValidConnection={() => false}
+          position={Position.Left}
+          style={{ visibility: 'hidden' }}
+        />
+      ))}
+      <Handle
+        type="source"
+        id={`${data.id}-collapsed-source`}
+        isValidConnection={() => false}
+        isConnectable={false}
+        position={Position.Right}
+        style={{ ...dummyHandleStyles, right: '-0.5rem' }}
+      />
+      {map(data.outputs, (output) => (
+        <Handle
+          key={`${data.id}-${output.name}-collapsed-output-handle`}
+          type="source"
+          id={output.name}
+          isValidConnection={() => false}
+          position={Position.Right}
+          style={{ visibility: 'hidden' }}
+        />
+      ))}
+    </>
+  );
+};
+
+export default memo(NodeCollapsedHandles);
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx
new file mode 100644
index 0000000000..3c513ed29a
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx
@@ -0,0 +1,77 @@
+import {
+  Checkbox,
+  Flex,
+  FormControl,
+  FormLabel,
+  Spacer,
+} from '@chakra-ui/react';
+import { useAppDispatch } from 'app/store/storeHooks';
+import { fieldBooleanValueChanged } from 'features/nodes/store/nodesSlice';
+import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
+import {
+  InvocationNodeData,
+  InvocationTemplate,
+} from 'features/nodes/types/types';
+import { some } from 'lodash-es';
+import { ChangeEvent, memo, useCallback, useMemo } from 'react';
+import { NodeProps } from 'reactflow';
+
+type Props = {
+  nodeProps: NodeProps<InvocationNodeData>;
+  nodeTemplate: InvocationTemplate;
+};
+
+const NodeFooter = (props: Props) => {
+  const { nodeProps, nodeTemplate } = props;
+  const dispatch = useAppDispatch();
+
+  const hasImageOutput = useMemo(
+    () =>
+      some(nodeTemplate?.outputs, (output) =>
+        ['ImageField', 'ImageCollection'].includes(output.type)
+      ),
+    [nodeTemplate?.outputs]
+  );
+
+  const handleChangeIsIntermediate = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(
+        fieldBooleanValueChanged({
+          nodeId: nodeProps.data.id,
+          fieldName: 'is_intermediate',
+          value: !e.target.checked,
+        })
+      );
+    },
+    [dispatch, nodeProps.data.id]
+  );
+
+  return (
+    <Flex
+      className={DRAG_HANDLE_CLASSNAME}
+      layerStyle="nodeFooter"
+      sx={{
+        w: 'full',
+        borderBottomRadius: 'base',
+        px: 2,
+        py: 0,
+        h: 6,
+      }}
+    >
+      <Spacer />
+      {hasImageOutput && (
+        <FormControl as={Flex} sx={{ alignItems: 'center', gap: 2, w: 'auto' }}>
+          <FormLabel sx={{ fontSize: 'xs', mb: '1px' }}>Save Output</FormLabel>
+          <Checkbox
+            className="nopan"
+            size="sm"
+            onChange={handleChangeIsIntermediate}
+            isChecked={!nodeProps.data.inputs['is_intermediate']?.value}
+          />
+        </FormControl>
+      )}
+    </Flex>
+  );
+};
+
+export default memo(NodeFooter);
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeNotesEdit.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeNotesEdit.tsx
new file mode 100644
index 0000000000..ab54ca2c44
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeNotesEdit.tsx
@@ -0,0 +1,113 @@
+import {
+  Flex,
+  FormControl,
+  FormLabel,
+  Icon,
+  Modal,
+  ModalBody,
+  ModalCloseButton,
+  ModalContent,
+  ModalFooter,
+  ModalHeader,
+  ModalOverlay,
+  Text,
+  Tooltip,
+  useDisclosure,
+} from '@chakra-ui/react';
+import { useAppDispatch } from 'app/store/storeHooks';
+import IAITextarea from 'common/components/IAITextarea';
+import { nodeNotesChanged } from 'features/nodes/store/nodesSlice';
+import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
+import {
+  InvocationNodeData,
+  InvocationTemplate,
+} from 'features/nodes/types/types';
+import { ChangeEvent, memo, useCallback } from 'react';
+import { FaInfoCircle } from 'react-icons/fa';
+import { NodeProps } from 'reactflow';
+
+interface Props {
+  nodeProps: NodeProps<InvocationNodeData>;
+  nodeTemplate: InvocationTemplate;
+}
+
+const NodeNotesEdit = (props: Props) => {
+  const { nodeProps, nodeTemplate } = props;
+  const { data } = nodeProps;
+  const { isOpen, onOpen, onClose } = useDisclosure();
+  const dispatch = useAppDispatch();
+  const handleNotesChanged = useCallback(
+    (e: ChangeEvent<HTMLTextAreaElement>) => {
+      dispatch(nodeNotesChanged({ nodeId: data.id, notes: e.target.value }));
+    },
+    [data.id, dispatch]
+  );
+
+  return (
+    <>
+      <Tooltip
+        label={
+          nodeTemplate ? (
+            <TooltipContent nodeProps={nodeProps} nodeTemplate={nodeTemplate} />
+          ) : undefined
+        }
+        placement="top"
+        shouldWrapChildren
+      >
+        <Flex
+          className={DRAG_HANDLE_CLASSNAME}
+          onClick={onOpen}
+          sx={{
+            alignItems: 'center',
+            justifyContent: 'center',
+            w: 8,
+            h: 8,
+            cursor: 'pointer',
+          }}
+        >
+          <Icon
+            as={FaInfoCircle}
+            sx={{ boxSize: 4, w: 8, color: 'base.400' }}
+          />
+        </Flex>
+      </Tooltip>
+
+      <Modal isOpen={isOpen} onClose={onClose} isCentered>
+        <ModalOverlay />
+        <ModalContent>
+          <ModalHeader>
+            {data.label || nodeTemplate?.title || 'Unknown Node'}
+          </ModalHeader>
+          <ModalCloseButton />
+          <ModalBody>
+            <FormControl>
+              <FormLabel>Notes</FormLabel>
+              <IAITextarea
+                value={data.notes}
+                onChange={handleNotesChanged}
+                rows={10}
+              />
+            </FormControl>
+          </ModalBody>
+          <ModalFooter />
+        </ModalContent>
+      </Modal>
+    </>
+  );
+};
+
+export default memo(NodeNotesEdit);
+
+type TooltipContentProps = Props;
+
+const TooltipContent = (props: TooltipContentProps) => {
+  return (
+    <Flex sx={{ flexDir: 'column' }}>
+      <Text sx={{ fontWeight: 600 }}>{props.nodeTemplate?.title}</Text>
+      <Text sx={{ opacity: 0.7, fontStyle: 'oblique 5deg' }}>
+        {props.nodeTemplate?.description}
+      </Text>
+      {props.nodeProps.data.notes && <Text>{props.nodeProps.data.notes}</Text>}
+    </Flex>
+  );
+};
diff --git a/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeResizer.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeResizer.tsx
similarity index 73%
rename from invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeResizer.tsx
rename to invokeai/frontend/web/src/features/nodes/components/Invocation/NodeResizer.tsx
index 1aca32ec70..6391e86471 100644
--- a/invokeai/frontend/web/src/features/nodes/components/IAINode/IAINodeResizer.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeResizer.tsx
@@ -2,7 +2,10 @@ import { NODE_MIN_WIDTH } from 'features/nodes/types/constants';
 import { memo } from 'react';
 import { NodeResizeControl, NodeResizerProps } from 'reactflow';
 
-const IAINodeResizer = (props: NodeResizerProps) => {
+// this causes https://github.com/invoke-ai/InvokeAI/issues/4140
+// not using it for now
+
+const NodeResizer = (props: NodeResizerProps) => {
   const { ...rest } = props;
   return (
     <NodeResizeControl
@@ -21,4 +24,4 @@ const IAINodeResizer = (props: NodeResizerProps) => {
   );
 };
 
-export default memo(IAINodeResizer);
+export default memo(NodeResizer);
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeSettings.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeSettings.tsx
new file mode 100644
index 0000000000..bf12358871
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeSettings.tsx
@@ -0,0 +1,69 @@
+import { Flex } from '@chakra-ui/react';
+import { useAppDispatch } from 'app/store/storeHooks';
+import IAIIconButton from 'common/components/IAIIconButton';
+import IAIPopover from 'common/components/IAIPopover';
+import IAISwitch from 'common/components/IAISwitch';
+import { fieldBooleanValueChanged } from 'features/nodes/store/nodesSlice';
+import { InvocationNodeData } from 'features/nodes/types/types';
+import { ChangeEvent, memo, useCallback } from 'react';
+import { FaBars } from 'react-icons/fa';
+
+interface Props {
+  data: InvocationNodeData;
+}
+
+const NodeSettings = (props: Props) => {
+  const { data } = props;
+  const dispatch = useAppDispatch();
+
+  const handleChangeIsIntermediate = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(
+        fieldBooleanValueChanged({
+          nodeId: data.id,
+          fieldName: 'is_intermediate',
+          value: e.target.checked,
+        })
+      );
+    },
+    [data.id, dispatch]
+  );
+
+  return (
+    <IAIPopover
+      isLazy={false}
+      triggerComponent={
+        <IAIIconButton
+          className="nopan"
+          aria-label="Node Settings"
+          variant="link"
+          sx={{
+            minW: 8,
+            color: 'base.500',
+            _dark: {
+              color: 'base.500',
+            },
+            _hover: {
+              color: 'base.700',
+              _dark: {
+                color: 'base.300',
+              },
+            },
+          }}
+          icon={<FaBars />}
+        />
+      }
+    >
+      <Flex sx={{ flexDir: 'column', gap: 4, w: 64 }}>
+        <IAISwitch
+          label="Intermediate"
+          isChecked={Boolean(data.inputs['is_intermediate']?.value)}
+          onChange={handleChangeIsIntermediate}
+          helperText="The outputs of intermediate nodes are considered temporary objects. Intermediate images are not added to the gallery."
+        />
+      </Flex>
+    </IAIPopover>
+  );
+};
+
+export default memo(NodeSettings);
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeStatusIndicator.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeStatusIndicator.tsx
new file mode 100644
index 0000000000..6695c4fd3b
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeStatusIndicator.tsx
@@ -0,0 +1,185 @@
+import {
+  Badge,
+  CircularProgress,
+  Flex,
+  Icon,
+  Image,
+  Text,
+  Tooltip,
+} from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
+import {
+  InvocationNodeData,
+  NodeExecutionState,
+  NodeStatus,
+} from 'features/nodes/types/types';
+import { memo, useMemo } from 'react';
+import { FaCheck, FaEllipsisH, FaExclamation } from 'react-icons/fa';
+import { NodeProps } from 'reactflow';
+
+type Props = {
+  nodeProps: NodeProps<InvocationNodeData>;
+};
+
+const iconBoxSize = 3;
+const circleStyles = {
+  circle: {
+    transitionProperty: 'none',
+    transitionDuration: '0s',
+  },
+  '.chakra-progress__track': { stroke: 'transparent' },
+};
+
+const NodeStatusIndicator = (props: Props) => {
+  const nodeId = props.nodeProps.data.id;
+  const selectNodeExecutionState = useMemo(
+    () =>
+      createSelector(
+        stateSelector,
+        ({ nodes }) => nodes.nodeExecutionStates[nodeId]
+      ),
+    [nodeId]
+  );
+
+  const nodeExecutionState = useAppSelector(selectNodeExecutionState);
+
+  if (!nodeExecutionState) {
+    return null;
+  }
+
+  return (
+    <Tooltip
+      label={<TooltipLabel nodeExecutionState={nodeExecutionState} />}
+      placement="top"
+    >
+      <Flex
+        className={DRAG_HANDLE_CLASSNAME}
+        sx={{
+          w: 5,
+          h: 'full',
+          alignItems: 'center',
+          justifyContent: 'flex-end',
+        }}
+      >
+        <StatusIcon nodeExecutionState={nodeExecutionState} />
+      </Flex>
+    </Tooltip>
+  );
+};
+
+export default memo(NodeStatusIndicator);
+
+type TooltipLabelProps = {
+  nodeExecutionState: NodeExecutionState;
+};
+
+const TooltipLabel = ({ nodeExecutionState }: TooltipLabelProps) => {
+  const { status, progress, progressImage } = nodeExecutionState;
+  if (status === NodeStatus.PENDING) {
+    return <Text>Pending</Text>;
+  }
+
+  if (status === NodeStatus.IN_PROGRESS) {
+    if (progressImage) {
+      return (
+        <Flex sx={{ pos: 'relative', pt: 1.5, pb: 0.5 }}>
+          <Image
+            src={progressImage.dataURL}
+            sx={{ w: 32, h: 32, borderRadius: 'base', objectFit: 'contain' }}
+          />
+          {progress !== null && (
+            <Badge
+              variant="solid"
+              sx={{ pos: 'absolute', top: 2.5, insetInlineEnd: 1 }}
+            >
+              {Math.round(progress * 100)}%
+            </Badge>
+          )}
+        </Flex>
+      );
+    }
+
+    if (progress !== null) {
+      return <Text>In Progress ({Math.round(progress * 100)}%)</Text>;
+    }
+
+    return <Text>In Progress</Text>;
+  }
+
+  if (status === NodeStatus.COMPLETED) {
+    return <Text>Completed</Text>;
+  }
+
+  if (status === NodeStatus.FAILED) {
+    return <Text>nodeExecutionState.error</Text>;
+  }
+
+  return null;
+};
+
+type StatusIconProps = {
+  nodeExecutionState: NodeExecutionState;
+};
+
+const StatusIcon = (props: StatusIconProps) => {
+  const { progress, status } = props.nodeExecutionState;
+  if (status === NodeStatus.PENDING) {
+    return (
+      <Icon
+        as={FaEllipsisH}
+        sx={{
+          boxSize: iconBoxSize,
+          color: 'base.600',
+          _dark: { color: 'base.300' },
+        }}
+      />
+    );
+  }
+  if (status === NodeStatus.IN_PROGRESS) {
+    return progress === null ? (
+      <CircularProgress
+        isIndeterminate
+        size="14px"
+        color="base.500"
+        thickness={14}
+        sx={circleStyles}
+      />
+    ) : (
+      <CircularProgress
+        value={Math.round(progress * 100)}
+        size="14px"
+        color="base.500"
+        thickness={14}
+        sx={circleStyles}
+      />
+    );
+  }
+  if (status === NodeStatus.COMPLETED) {
+    return (
+      <Icon
+        as={FaCheck}
+        sx={{
+          boxSize: iconBoxSize,
+          color: 'ok.600',
+          _dark: { color: 'ok.300' },
+        }}
+      />
+    );
+  }
+  if (status === NodeStatus.FAILED) {
+    return (
+      <Icon
+        as={FaExclamation}
+        sx={{
+          boxSize: iconBoxSize,
+          color: 'error.600',
+          _dark: { color: 'error.300' },
+        }}
+      />
+    );
+  }
+  return null;
+};
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeTitle.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeTitle.tsx
new file mode 100644
index 0000000000..fa6a8ea224
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeTitle.tsx
@@ -0,0 +1,123 @@
+import {
+  Box,
+  Editable,
+  EditableInput,
+  EditablePreview,
+  Flex,
+  useEditableControls,
+} from '@chakra-ui/react';
+import { useAppDispatch } from 'app/store/storeHooks';
+import { nodeLabelChanged } from 'features/nodes/store/nodesSlice';
+import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
+import { NodeData } from 'features/nodes/types/types';
+import { MouseEvent, memo, useCallback, useEffect, useState } from 'react';
+
+type Props = {
+  nodeData: NodeData;
+  title: string;
+};
+
+const NodeTitle = (props: Props) => {
+  const { title } = props;
+  const { id: nodeId, label } = props.nodeData;
+  const dispatch = useAppDispatch();
+  const [localTitle, setLocalTitle] = useState(label || title);
+
+  const handleSubmit = useCallback(
+    async (newTitle: string) => {
+      dispatch(nodeLabelChanged({ nodeId, label: newTitle }));
+      setLocalTitle(newTitle || title);
+    },
+    [nodeId, dispatch, title]
+  );
+
+  const handleChange = useCallback((newTitle: string) => {
+    setLocalTitle(newTitle);
+  }, []);
+
+  useEffect(() => {
+    // Another component may change the title; sync local title with global state
+    setLocalTitle(label || title);
+  }, [label, title]);
+
+  return (
+    <Flex
+      className="nopan"
+      sx={{
+        overflow: 'hidden',
+        w: 'full',
+        h: 'full',
+        alignItems: 'center',
+        justifyContent: 'center',
+        cursor: 'text',
+      }}
+    >
+      <Editable
+        as={Flex}
+        value={localTitle}
+        onChange={handleChange}
+        onSubmit={handleSubmit}
+        sx={{
+          alignItems: 'center',
+          position: 'relative',
+          w: 'full',
+          h: 'full',
+        }}
+      >
+        <EditablePreview
+          fontSize="sm"
+          sx={{
+            p: 0,
+            w: 'full',
+          }}
+          noOfLines={1}
+        />
+        <EditableInput
+          fontSize="sm"
+          sx={{
+            p: 0,
+            _focusVisible: {
+              p: 0,
+              boxShadow: 'none',
+            },
+          }}
+        />
+        <EditableControls />
+      </Editable>
+    </Flex>
+  );
+};
+
+export default memo(NodeTitle);
+
+function EditableControls() {
+  const { isEditing, getEditButtonProps } = useEditableControls();
+  const handleDoubleClick = useCallback(
+    (e: MouseEvent<HTMLDivElement>) => {
+      const { onClick } = getEditButtonProps();
+      if (!onClick) {
+        return;
+      }
+      onClick(e);
+    },
+    [getEditButtonProps]
+  );
+
+  if (isEditing) {
+    return null;
+  }
+
+  return (
+    <Box
+      className={DRAG_HANDLE_CLASSNAME}
+      onDoubleClick={handleDoubleClick}
+      sx={{
+        position: 'absolute',
+        w: 'full',
+        h: 'full',
+        top: 0,
+        cursor: 'grab',
+      }}
+    />
+  );
+}
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeWrapper.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeWrapper.tsx
new file mode 100644
index 0000000000..2f555d700a
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeWrapper.tsx
@@ -0,0 +1,96 @@
+import {
+  Box,
+  ChakraProps,
+  useColorModeValue,
+  useToken,
+} from '@chakra-ui/react';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { nodeClicked } from 'features/nodes/store/nodesSlice';
+import { MouseEvent, PropsWithChildren, useCallback, useMemo } from 'react';
+import { DRAG_HANDLE_CLASSNAME, NODE_WIDTH } from '../../types/constants';
+import { NodeData } from 'features/nodes/types/types';
+import { NodeProps } from 'reactflow';
+
+const useNodeSelect = (nodeId: string) => {
+  const dispatch = useAppDispatch();
+
+  const selectNode = useCallback(
+    (e: MouseEvent<HTMLDivElement>) => {
+      dispatch(nodeClicked({ nodeId, ctrlOrMeta: e.ctrlKey || e.metaKey }));
+    },
+    [dispatch, nodeId]
+  );
+
+  return selectNode;
+};
+
+type NodeWrapperProps = PropsWithChildren & {
+  nodeProps: NodeProps<NodeData>;
+  width?: NonNullable<ChakraProps['sx']>['w'];
+};
+
+const NodeWrapper = (props: NodeWrapperProps) => {
+  const { width, children, nodeProps } = props;
+  const { data, selected } = nodeProps;
+  const nodeId = data.id;
+
+  const [
+    nodeSelectedOutlineLight,
+    nodeSelectedOutlineDark,
+    shadowsXl,
+    shadowsBase,
+  ] = useToken('shadows', [
+    'nodeSelectedOutline.light',
+    'nodeSelectedOutline.dark',
+    'shadows.xl',
+    'shadows.base',
+  ]);
+
+  const selectNode = useNodeSelect(nodeId);
+
+  const shadow = useColorModeValue(
+    nodeSelectedOutlineLight,
+    nodeSelectedOutlineDark
+  );
+
+  const shift = useAppSelector((state) => state.hotkeys.shift);
+  const opacity = useAppSelector((state) => state.nodes.nodeOpacity);
+  const className = useMemo(
+    () => (shift ? DRAG_HANDLE_CLASSNAME : 'nopan'),
+    [shift]
+  );
+
+  return (
+    <Box
+      onClickCapture={selectNode}
+      className={className}
+      sx={{
+        h: 'full',
+        position: 'relative',
+        borderRadius: 'base',
+        w: width ?? NODE_WIDTH,
+        transitionProperty: 'common',
+        transitionDuration: '0.1s',
+        shadow: selected ? shadow : undefined,
+        opacity,
+      }}
+    >
+      <Box
+        sx={{
+          position: 'absolute',
+          top: 0,
+          insetInlineEnd: 0,
+          bottom: 0,
+          insetInlineStart: 0,
+          borderRadius: 'base',
+          pointerEvents: 'none',
+          shadow: `${shadowsXl}, ${shadowsBase}, ${shadowsBase}`,
+          zIndex: -1,
+        }}
+      />
+      {children}
+    </Box>
+  );
+};
+
+export default NodeWrapper;
diff --git a/invokeai/frontend/web/src/features/nodes/components/InvocationComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/InvocationComponent.tsx
deleted file mode 100644
index 4c031afaff..0000000000
--- a/invokeai/frontend/web/src/features/nodes/components/InvocationComponent.tsx
+++ /dev/null
@@ -1,74 +0,0 @@
-import { Flex, Icon } from '@chakra-ui/react';
-import { FaExclamationCircle } from 'react-icons/fa';
-import { NodeProps } from 'reactflow';
-import { InvocationValue } from '../types/types';
-
-import { useAppSelector } from 'app/store/storeHooks';
-import { memo, useMemo } from 'react';
-import { makeTemplateSelector } from '../store/util/makeTemplateSelector';
-import IAINodeHeader from './IAINode/IAINodeHeader';
-import IAINodeInputs from './IAINode/IAINodeInputs';
-import IAINodeOutputs from './IAINode/IAINodeOutputs';
-import IAINodeResizer from './IAINode/IAINodeResizer';
-import NodeWrapper from './NodeWrapper';
-
-export const InvocationComponent = memo((props: NodeProps<InvocationValue>) => {
-  const { id: nodeId, data, selected } = props;
-  const { type, inputs, outputs } = data;
-
-  const templateSelector = useMemo(() => makeTemplateSelector(type), [type]);
-
-  const template = useAppSelector(templateSelector);
-
-  if (!template) {
-    return (
-      <NodeWrapper selected={selected}>
-        <Flex
-          className="nopan"
-          sx={{
-            alignItems: 'center',
-            justifyContent: 'center',
-            cursor: 'auto',
-          }}
-        >
-          <Icon
-            as={FaExclamationCircle}
-            sx={{
-              boxSize: 32,
-              color: 'base.600',
-              _dark: { color: 'base.400' },
-            }}
-          ></Icon>
-          <IAINodeResizer />
-        </Flex>
-      </NodeWrapper>
-    );
-  }
-
-  return (
-    <NodeWrapper selected={selected}>
-      <IAINodeHeader
-        nodeId={nodeId}
-        title={template.title}
-        description={template.description}
-      />
-      <Flex
-        className={'nopan'}
-        sx={{
-          cursor: 'auto',
-          flexDirection: 'column',
-          borderBottomRadius: 'md',
-          py: 2,
-          bg: 'base.150',
-          _dark: { bg: 'base.800' },
-        }}
-      >
-        <IAINodeOutputs nodeId={nodeId} outputs={outputs} template={template} />
-        <IAINodeInputs nodeId={nodeId} inputs={inputs} template={template} />
-      </Flex>
-      <IAINodeResizer />
-    </NodeWrapper>
-  );
-});
-
-InvocationComponent.displayName = 'InvocationComponent';
diff --git a/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx b/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx
index 8c0480774c..8af9fefa90 100644
--- a/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx
@@ -1,25 +1,45 @@
 import { Box } from '@chakra-ui/react';
-import { ReactFlowProvider } from 'reactflow';
+import ResizeHandle from 'features/ui/components/tabs/ResizeHandle';
+import { memo, useState } from 'react';
+import { Panel, PanelGroup } from 'react-resizable-panels';
 import 'reactflow/dist/style.css';
-
-import { memo } from 'react';
 import { Flow } from './Flow';
+import NodeEditorPanelGroup from './panel/NodeEditorPanelGroup';
 
 const NodeEditor = () => {
+  const [isPanelCollapsed, setIsPanelCollapsed] = useState(false);
   return (
-    <Box
-      layerStyle={'first'}
-      sx={{
-        position: 'relative',
-        width: 'full',
-        height: 'full',
-        borderRadius: 'base',
-      }}
+    <PanelGroup
+      id="node-editor"
+      autoSaveId="node-editor"
+      direction="horizontal"
+      style={{ height: '100%', width: '100%' }}
     >
-      <ReactFlowProvider>
-        <Flow />
-      </ReactFlowProvider>
-    </Box>
+      <Panel
+        id="node-editor-panel-group"
+        collapsible
+        onCollapse={setIsPanelCollapsed}
+        minSize={25}
+      >
+        <NodeEditorPanelGroup />
+      </Panel>
+      <ResizeHandle
+        collapsedDirection={isPanelCollapsed ? 'left' : undefined}
+      />
+      <Panel id="node-editor-content">
+        <Box
+          layerStyle={'first'}
+          sx={{
+            position: 'relative',
+            width: 'full',
+            height: 'full',
+            borderRadius: 'base',
+          }}
+        >
+          <Flow />
+        </Box>
+      </Panel>
+    </PanelGroup>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/nodes/components/NodeEditorSettings.tsx b/invokeai/frontend/web/src/features/nodes/components/NodeEditorSettings.tsx
new file mode 100644
index 0000000000..58e2e3564e
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/NodeEditorSettings.tsx
@@ -0,0 +1,139 @@
+import {
+  Divider,
+  Flex,
+  Heading,
+  Modal,
+  ModalBody,
+  ModalCloseButton,
+  ModalContent,
+  ModalHeader,
+  ModalOverlay,
+  useDisclosure,
+} from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAIIconButton from 'common/components/IAIIconButton';
+import IAISwitch from 'common/components/IAISwitch';
+import { ChangeEvent, useCallback } from 'react';
+import { FaCog } from 'react-icons/fa';
+import {
+  shouldAnimateEdgesChanged,
+  shouldColorEdgesChanged,
+  shouldSnapToGridChanged,
+  shouldValidateGraphChanged,
+} from '../store/nodesSlice';
+
+const selector = createSelector(stateSelector, ({ nodes }) => {
+  const {
+    shouldAnimateEdges,
+    shouldValidateGraph,
+    shouldSnapToGrid,
+    shouldColorEdges,
+  } = nodes;
+  return {
+    shouldAnimateEdges,
+    shouldValidateGraph,
+    shouldSnapToGrid,
+    shouldColorEdges,
+  };
+});
+
+const NodeEditorSettings = () => {
+  const { isOpen, onOpen, onClose } = useDisclosure();
+  const dispatch = useAppDispatch();
+  const {
+    shouldAnimateEdges,
+    shouldValidateGraph,
+    shouldSnapToGrid,
+    shouldColorEdges,
+  } = useAppSelector(selector);
+
+  const handleChangeShouldValidate = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(shouldValidateGraphChanged(e.target.checked));
+    },
+    [dispatch]
+  );
+
+  const handleChangeShouldAnimate = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(shouldAnimateEdgesChanged(e.target.checked));
+    },
+    [dispatch]
+  );
+
+  const handleChangeShouldSnap = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(shouldSnapToGridChanged(e.target.checked));
+    },
+    [dispatch]
+  );
+
+  const handleChangeShouldColor = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(shouldColorEdgesChanged(e.target.checked));
+    },
+    [dispatch]
+  );
+
+  return (
+    <>
+      <IAIIconButton
+        aria-label="Node Editor Settings"
+        icon={<FaCog />}
+        onClick={onOpen}
+      />
+
+      <Modal isOpen={isOpen} onClose={onClose} size="2xl" isCentered>
+        <ModalOverlay />
+        <ModalContent>
+          <ModalHeader>Node Editor Settings</ModalHeader>
+          <ModalCloseButton />
+          <ModalBody>
+            <Flex
+              sx={{
+                flexDirection: 'column',
+                gap: 4,
+                py: 4,
+              }}
+            >
+              <Heading size="sm">General</Heading>
+              <IAISwitch
+                onChange={handleChangeShouldAnimate}
+                isChecked={shouldAnimateEdges}
+                label="Animated Edges"
+                helperText="Animate selected edges and edges connected to selected nodes"
+              />
+              <Divider />
+              <IAISwitch
+                isChecked={shouldSnapToGrid}
+                onChange={handleChangeShouldSnap}
+                label="Snap to Grid"
+                helperText="Snap nodes to grid when moved"
+              />
+              <Divider />
+              <IAISwitch
+                isChecked={shouldColorEdges}
+                onChange={handleChangeShouldColor}
+                label="Color-Code Edges"
+                helperText="Color-code edges according to their connected fields"
+              />
+              <Heading size="sm" pt={4}>
+                Advanced
+              </Heading>
+              <IAISwitch
+                isChecked={shouldValidateGraph}
+                onChange={handleChangeShouldValidate}
+                label="Validate Connections and Graph"
+                helperText="Prevent invalid connections from being made, and invalid graphs from being invoked"
+              />
+            </Flex>
+          </ModalBody>
+        </ModalContent>
+      </Modal>
+    </>
+  );
+};
+
+export default NodeEditorSettings;
diff --git a/invokeai/frontend/web/src/features/nodes/components/NodeGraphOverlay.tsx b/invokeai/frontend/web/src/features/nodes/components/NodeGraphOverlay.tsx
index 1d498f19f5..4525dc5f6b 100644
--- a/invokeai/frontend/web/src/features/nodes/components/NodeGraphOverlay.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/NodeGraphOverlay.tsx
@@ -1,34 +1,26 @@
-import { Box } from '@chakra-ui/react';
 import { RootState } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
-import { memo } from 'react';
+import ImageMetadataJSON from 'features/gallery/components/ImageMetadataViewer/ImageMetadataJSON';
+import { omit } from 'lodash-es';
+import { useMemo } from 'react';
+import { useDebounce } from 'use-debounce';
 import { buildNodesGraph } from '../util/graphBuilders/buildNodesGraph';
 
-const NodeGraphOverlay = () => {
-  const state = useAppSelector((state: RootState) => state);
-  const graph = buildNodesGraph(state);
-
-  return (
-    <Box
-      as="pre"
-      sx={{
-        fontFamily: 'monospace',
-        position: 'absolute',
-        top: 2,
-        right: 2,
-        opacity: 0.7,
-        p: 2,
-        maxHeight: 500,
-        maxWidth: 500,
-        overflowY: 'scroll',
-        borderRadius: 'base',
-        bg: 'base.200',
-        _dark: { bg: 'base.800' },
-      }}
-    >
-      {JSON.stringify(graph, null, 2)}
-    </Box>
+const useNodesGraph = () => {
+  const nodes = useAppSelector((state: RootState) => state.nodes);
+  const [debouncedNodes] = useDebounce(nodes, 300);
+  const graph = useMemo(
+    () => omit(buildNodesGraph(debouncedNodes), 'id'),
+    [debouncedNodes]
   );
+
+  return graph;
 };
 
-export default memo(NodeGraphOverlay);
+const NodeGraph = () => {
+  const graph = useNodesGraph();
+
+  return <ImageMetadataJSON jsonObject={graph} label="Graph" />;
+};
+
+export default NodeGraph;
diff --git a/invokeai/frontend/web/src/features/nodes/components/NodeOpacitySlider.tsx b/invokeai/frontend/web/src/features/nodes/components/NodeOpacitySlider.tsx
new file mode 100644
index 0000000000..693940859f
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/NodeOpacitySlider.tsx
@@ -0,0 +1,42 @@
+import {
+  Box,
+  Slider,
+  SliderFilledTrack,
+  SliderThumb,
+  SliderTrack,
+} from '@chakra-ui/react';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { useCallback } from 'react';
+import { nodeOpacityChanged } from '../store/nodesSlice';
+
+export default function NodeOpacitySlider() {
+  const dispatch = useAppDispatch();
+  const nodeOpacity = useAppSelector((state) => state.nodes.nodeOpacity);
+
+  const handleChange = useCallback(
+    (v: number) => {
+      dispatch(nodeOpacityChanged(v));
+    },
+    [dispatch]
+  );
+
+  return (
+    <Box>
+      <Slider
+        aria-label="Node Opacity"
+        value={nodeOpacity}
+        min={0.5}
+        max={1}
+        step={0.01}
+        onChange={handleChange}
+        orientation="vertical"
+        defaultValue={30}
+      >
+        <SliderTrack>
+          <SliderFilledTrack />
+        </SliderTrack>
+        <SliderThumb />
+      </Slider>
+    </Box>
+  );
+}
diff --git a/invokeai/frontend/web/src/features/nodes/components/NodeWrapper.tsx b/invokeai/frontend/web/src/features/nodes/components/NodeWrapper.tsx
deleted file mode 100644
index bc7944a28b..0000000000
--- a/invokeai/frontend/web/src/features/nodes/components/NodeWrapper.tsx
+++ /dev/null
@@ -1,36 +0,0 @@
-import { Box, useToken } from '@chakra-ui/react';
-import { useAppSelector } from 'app/store/storeHooks';
-import { PropsWithChildren } from 'react';
-import { DRAG_HANDLE_CLASSNAME } from '../hooks/useBuildInvocation';
-import { NODE_MIN_WIDTH } from '../types/constants';
-
-type NodeWrapperProps = PropsWithChildren & {
-  selected: boolean;
-};
-
-const NodeWrapper = (props: NodeWrapperProps) => {
-  const [nodeSelectedOutline, nodeShadow] = useToken('shadows', [
-    'nodeSelectedOutline',
-    'dark-lg',
-  ]);
-
-  const shift = useAppSelector((state) => state.hotkeys.shift);
-
-  return (
-    <Box
-      className={shift ? DRAG_HANDLE_CLASSNAME : 'nopan'}
-      sx={{
-        position: 'relative',
-        borderRadius: 'md',
-        minWidth: NODE_MIN_WIDTH,
-        shadow: props.selected
-          ? `${nodeSelectedOutline}, ${nodeShadow}`
-          : `${nodeShadow}`,
-      }}
-    >
-      {props.children}
-    </Box>
-  );
-};
-
-export default NodeWrapper;
diff --git a/invokeai/frontend/web/src/features/nodes/components/ProgressImageNode.tsx b/invokeai/frontend/web/src/features/nodes/components/ProgressImageNode.tsx
deleted file mode 100644
index 142e2a2990..0000000000
--- a/invokeai/frontend/web/src/features/nodes/components/ProgressImageNode.tsx
+++ /dev/null
@@ -1,73 +0,0 @@
-import { Flex, Image } from '@chakra-ui/react';
-import { RootState } from 'app/store/store';
-import { IAINoContentFallback } from 'common/components/IAIImageFallback';
-import { memo } from 'react';
-import { useDispatch, useSelector } from 'react-redux';
-import { NodeProps, OnResize } from 'reactflow';
-import { setProgressNodeSize } from '../store/nodesSlice';
-import IAINodeHeader from './IAINode/IAINodeHeader';
-import IAINodeResizer from './IAINode/IAINodeResizer';
-import NodeWrapper from './NodeWrapper';
-
-const ProgressImageNode = (props: NodeProps) => {
-  const progressImage = useSelector(
-    (state: RootState) => state.system.progressImage
-  );
-  const progressNodeSize = useSelector(
-    (state: RootState) => state.nodes.progressNodeSize
-  );
-  const dispatch = useDispatch();
-  const { selected } = props;
-
-  const handleResize: OnResize = (_, newSize) => {
-    dispatch(setProgressNodeSize(newSize));
-  };
-
-  return (
-    <NodeWrapper selected={selected}>
-      <IAINodeHeader
-        title="Progress Image"
-        description="Displays the progress image in the Node Editor"
-      />
-      <Flex
-        sx={{
-          flexDirection: 'column',
-          flexShrink: 0,
-          borderBottomRadius: 'md',
-          bg: 'base.200',
-          _dark: { bg: 'base.800' },
-          width: progressNodeSize.width - 2,
-          height: progressNodeSize.height - 2,
-          minW: 250,
-          minH: 250,
-          overflow: 'hidden',
-        }}
-      >
-        {progressImage ? (
-          <Image
-            src={progressImage.dataURL}
-            sx={{
-              w: 'full',
-              h: 'full',
-              objectFit: 'contain',
-            }}
-          />
-        ) : (
-          <Flex
-            sx={{
-              minW: 250,
-              minH: 250,
-              width: progressNodeSize.width - 2,
-              height: progressNodeSize.height - 2,
-            }}
-          >
-            <IAINoContentFallback />
-          </Flex>
-        )}
-      </Flex>
-      <IAINodeResizer onResize={handleResize} />
-    </NodeWrapper>
-  );
-};
-
-export default memo(ProgressImageNode);
diff --git a/invokeai/frontend/web/src/features/nodes/components/ViewportControls.tsx b/invokeai/frontend/web/src/features/nodes/components/ViewportControls.tsx
index 796cdb010e..7416c6c555 100644
--- a/invokeai/frontend/web/src/features/nodes/components/ViewportControls.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/ViewportControls.tsx
@@ -2,18 +2,16 @@ import { ButtonGroup, Tooltip } from '@chakra-ui/react';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
 import { memo, useCallback } from 'react';
-import {
-  FaCode,
-  FaExpand,
-  FaMinus,
-  FaPlus,
-  FaInfo,
-  FaMapMarkerAlt,
-} from 'react-icons/fa';
-import { useReactFlow } from 'reactflow';
 import { useTranslation } from 'react-i18next';
 import {
-  shouldShowGraphOverlayChanged,
+  FaExpand,
+  FaInfo,
+  FaMapMarkerAlt,
+  FaMinus,
+  FaPlus,
+} from 'react-icons/fa';
+import { useReactFlow } from 'reactflow';
+import {
   shouldShowFieldTypeLegendChanged,
   shouldShowMinimapPanelChanged,
 } from '../store/nodesSlice';
@@ -22,9 +20,6 @@ const ViewportControls = () => {
   const { t } = useTranslation();
   const { zoomIn, zoomOut, fitView } = useReactFlow();
   const dispatch = useAppDispatch();
-  const shouldShowGraphOverlay = useAppSelector(
-    (state) => state.nodes.shouldShowGraphOverlay
-  );
   const shouldShowFieldTypeLegend = useAppSelector(
     (state) => state.nodes.shouldShowFieldTypeLegend
   );
@@ -44,10 +39,6 @@ const ViewportControls = () => {
     fitView();
   }, [fitView]);
 
-  const handleClickedToggleGraphOverlay = useCallback(() => {
-    dispatch(shouldShowGraphOverlayChanged(!shouldShowGraphOverlay));
-  }, [shouldShowGraphOverlay, dispatch]);
-
   const handleClickedToggleFieldTypeLegend = useCallback(() => {
     dispatch(shouldShowFieldTypeLegendChanged(!shouldShowFieldTypeLegend));
   }, [shouldShowFieldTypeLegend, dispatch]);
@@ -79,20 +70,6 @@ const ViewportControls = () => {
           icon={<FaExpand />}
         />
       </Tooltip>
-      <Tooltip
-        label={
-          shouldShowGraphOverlay
-            ? t('nodes.hideGraphNodes')
-            : t('nodes.showGraphNodes')
-        }
-      >
-        <IAIIconButton
-          aria-label="Toggle nodes graph overlay"
-          isChecked={shouldShowGraphOverlay}
-          onClick={handleClickedToggleGraphOverlay}
-          icon={<FaCode />}
-        />
-      </Tooltip>
       <Tooltip
         label={
           shouldShowFieldTypeLegend
diff --git a/invokeai/frontend/web/src/features/nodes/components/panels/BottomLeftPanel.tsx.tsx b/invokeai/frontend/web/src/features/nodes/components/editorPanels/BottomLeftPanel.tsx
similarity index 55%
rename from invokeai/frontend/web/src/features/nodes/components/panels/BottomLeftPanel.tsx.tsx
rename to invokeai/frontend/web/src/features/nodes/components/editorPanels/BottomLeftPanel.tsx
index fefad5f490..39aa2444c4 100644
--- a/invokeai/frontend/web/src/features/nodes/components/panels/BottomLeftPanel.tsx.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/editorPanels/BottomLeftPanel.tsx
@@ -1,10 +1,15 @@
 import { memo } from 'react';
 import { Panel } from 'reactflow';
 import ViewportControls from '../ViewportControls';
+import NodeOpacitySlider from '../NodeOpacitySlider';
+import { Flex } from '@chakra-ui/react';
 
 const BottomLeftPanel = () => (
   <Panel position="bottom-left">
-    <ViewportControls />
+    <Flex sx={{ gap: 2 }}>
+      <ViewportControls />
+      <NodeOpacitySlider />
+    </Flex>
   </Panel>
 );
 
diff --git a/invokeai/frontend/web/src/features/nodes/components/panels/MinimapPanel.tsx b/invokeai/frontend/web/src/features/nodes/components/editorPanels/MinimapPanel.tsx
similarity index 91%
rename from invokeai/frontend/web/src/features/nodes/components/panels/MinimapPanel.tsx
rename to invokeai/frontend/web/src/features/nodes/components/editorPanels/MinimapPanel.tsx
index 39142ed48e..8b7fb942a6 100644
--- a/invokeai/frontend/web/src/features/nodes/components/panels/MinimapPanel.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/editorPanels/MinimapPanel.tsx
@@ -20,7 +20,7 @@ const MinimapPanel = () => {
 
   const nodeColor = useColorModeValue(
     'var(--invokeai-colors-accent-300)',
-    'var(--invokeai-colors-accent-700)'
+    'var(--invokeai-colors-accent-600)'
   );
 
   const maskColor = useColorModeValue(
@@ -32,10 +32,9 @@ const MinimapPanel = () => {
     <>
       {shouldShowMinimapPanel && (
         <MiniMap
-          nodeStrokeWidth={3}
           pannable
           zoomable
-          nodeBorderRadius={30}
+          nodeBorderRadius={15}
           style={miniMapStyle}
           nodeColor={nodeColor}
           maskColor={maskColor}
diff --git a/invokeai/frontend/web/src/features/nodes/components/panels/TopCenterPanel.tsx b/invokeai/frontend/web/src/features/nodes/components/editorPanels/TopCenterPanel.tsx
similarity index 79%
rename from invokeai/frontend/web/src/features/nodes/components/panels/TopCenterPanel.tsx
rename to invokeai/frontend/web/src/features/nodes/components/editorPanels/TopCenterPanel.tsx
index 21076e16f5..240c2057be 100644
--- a/invokeai/frontend/web/src/features/nodes/components/panels/TopCenterPanel.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/editorPanels/TopCenterPanel.tsx
@@ -2,11 +2,10 @@ import { HStack } from '@chakra-ui/react';
 import CancelButton from 'features/parameters/components/ProcessButtons/CancelButton';
 import { memo } from 'react';
 import { Panel } from 'reactflow';
+import NodeEditorSettings from '../NodeEditorSettings';
 import ClearGraphButton from '../ui/ClearGraphButton';
-import LoadGraphButton from '../ui/LoadGraphButton';
 import NodeInvokeButton from '../ui/NodeInvokeButton';
 import ReloadSchemaButton from '../ui/ReloadSchemaButton';
-import SaveGraphButton from '../ui/SaveGraphButton';
 
 const TopCenterPanel = () => {
   return (
@@ -15,9 +14,8 @@ const TopCenterPanel = () => {
         <NodeInvokeButton />
         <CancelButton />
         <ReloadSchemaButton />
-        <SaveGraphButton />
-        <LoadGraphButton />
         <ClearGraphButton />
+        <NodeEditorSettings />
       </HStack>
     </Panel>
   );
diff --git a/invokeai/frontend/web/src/features/nodes/components/panels/TopLeftPanel.tsx b/invokeai/frontend/web/src/features/nodes/components/editorPanels/TopLeftPanel.tsx
similarity index 100%
rename from invokeai/frontend/web/src/features/nodes/components/panels/TopLeftPanel.tsx
rename to invokeai/frontend/web/src/features/nodes/components/editorPanels/TopLeftPanel.tsx
diff --git a/invokeai/frontend/web/src/features/nodes/components/panels/TopRightPanel.tsx b/invokeai/frontend/web/src/features/nodes/components/editorPanels/TopRightPanel.tsx
similarity index 55%
rename from invokeai/frontend/web/src/features/nodes/components/panels/TopRightPanel.tsx
rename to invokeai/frontend/web/src/features/nodes/components/editorPanels/TopRightPanel.tsx
index e3e3a871c8..7facf3973f 100644
--- a/invokeai/frontend/web/src/features/nodes/components/panels/TopRightPanel.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/editorPanels/TopRightPanel.tsx
@@ -1,22 +1,16 @@
-import { RootState } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
 import { memo } from 'react';
 import { Panel } from 'reactflow';
 import FieldTypeLegend from '../FieldTypeLegend';
-import NodeGraphOverlay from '../NodeGraphOverlay';
 
 const TopRightPanel = () => {
-  const shouldShowGraphOverlay = useAppSelector(
-    (state: RootState) => state.nodes.shouldShowGraphOverlay
-  );
   const shouldShowFieldTypeLegend = useAppSelector(
-    (state: RootState) => state.nodes.shouldShowFieldTypeLegend
+    (state) => state.nodes.shouldShowFieldTypeLegend
   );
 
   return (
     <Panel position="top-right">
       {shouldShowFieldTypeLegend && <FieldTypeLegend />}
-      {shouldShowGraphOverlay && <NodeGraphOverlay />}
     </Panel>
   );
 };
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/ArrayInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/ArrayInputFieldComponent.tsx
deleted file mode 100644
index 8e478c907c..0000000000
--- a/invokeai/frontend/web/src/features/nodes/components/fields/ArrayInputFieldComponent.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import {
-  ArrayInputFieldTemplate,
-  ArrayInputFieldValue,
-} from 'features/nodes/types/types';
-import { memo } from 'react';
-import { FaList } from 'react-icons/fa';
-import { FieldComponentProps } from './types';
-
-const ArrayInputFieldComponent = (
-  _props: FieldComponentProps<ArrayInputFieldValue, ArrayInputFieldTemplate>
-) => {
-  return <FaList />;
-};
-
-export default memo(ArrayInputFieldComponent);
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/EnumInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/EnumInputFieldComponent.tsx
deleted file mode 100644
index 5f26bc4f2a..0000000000
--- a/invokeai/frontend/web/src/features/nodes/components/fields/EnumInputFieldComponent.tsx
+++ /dev/null
@@ -1,37 +0,0 @@
-import { Select } from '@chakra-ui/react';
-import { useAppDispatch } from 'app/store/storeHooks';
-import { fieldValueChanged } from 'features/nodes/store/nodesSlice';
-import {
-  EnumInputFieldTemplate,
-  EnumInputFieldValue,
-} from 'features/nodes/types/types';
-import { ChangeEvent, memo } from 'react';
-import { FieldComponentProps } from './types';
-
-const EnumInputFieldComponent = (
-  props: FieldComponentProps<EnumInputFieldValue, EnumInputFieldTemplate>
-) => {
-  const { nodeId, field, template } = props;
-
-  const dispatch = useAppDispatch();
-
-  const handleValueChanged = (e: ChangeEvent<HTMLSelectElement>) => {
-    dispatch(
-      fieldValueChanged({
-        nodeId,
-        fieldName: field.name,
-        value: e.target.value,
-      })
-    );
-  };
-
-  return (
-    <Select onChange={handleValueChanged} value={field.value}>
-      {template.options.map((option) => (
-        <option key={option}>{option}</option>
-      ))}
-    </Select>
-  );
-};
-
-export default memo(EnumInputFieldComponent);
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/FieldContextMenu.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/FieldContextMenu.tsx
new file mode 100644
index 0000000000..d9f8f951bc
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/FieldContextMenu.tsx
@@ -0,0 +1,47 @@
+import { MenuItem, MenuList } from '@chakra-ui/react';
+import { ContextMenu, ContextMenuProps } from 'chakra-ui-contextmenu';
+import {
+  InputFieldTemplate,
+  InputFieldValue,
+} from 'features/nodes/types/types';
+import { MouseEvent, useCallback } from 'react';
+import { menuListMotionProps } from 'theme/components/menu';
+
+type Props = {
+  nodeId: string;
+  field: InputFieldValue;
+  fieldTemplate: InputFieldTemplate;
+  children: ContextMenuProps<HTMLDivElement>['children'];
+};
+
+const FieldContextMenu = (props: Props) => {
+  const skipEvent = useCallback((e: MouseEvent<HTMLDivElement>) => {
+    e.preventDefault();
+  }, []);
+
+  return (
+    <ContextMenu<HTMLDivElement>
+      menuProps={{
+        size: 'sm',
+        isLazy: true,
+      }}
+      menuButtonProps={{
+        bg: 'transparent',
+        _hover: { bg: 'transparent' },
+      }}
+      renderMenu={() => (
+        <MenuList
+          sx={{ visibility: 'visible !important' }}
+          motionProps={menuListMotionProps}
+          onContextMenu={skipEvent}
+        >
+          <MenuItem>Test</MenuItem>
+        </MenuList>
+      )}
+    >
+      {props.children}
+    </ContextMenu>
+  );
+};
+
+export default FieldContextMenu;
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/FieldHandle.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/FieldHandle.tsx
new file mode 100644
index 0000000000..f47e68976d
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/FieldHandle.tsx
@@ -0,0 +1,122 @@
+import { Tooltip } from '@chakra-ui/react';
+import { CSSProperties, memo, useMemo } from 'react';
+import { Handle, HandleType, NodeProps, Position } from 'reactflow';
+import {
+  FIELDS,
+  HANDLE_TOOLTIP_OPEN_DELAY,
+  colorTokenToCssVar,
+} from '../../types/constants';
+import {
+  InputFieldTemplate,
+  InputFieldValue,
+  InvocationNodeData,
+  InvocationTemplate,
+  OutputFieldTemplate,
+  OutputFieldValue,
+} from '../../types/types';
+
+export const handleBaseStyles: CSSProperties = {
+  position: 'absolute',
+  width: '1rem',
+  height: '1rem',
+  borderWidth: 0,
+  zIndex: 1,
+};
+
+export const inputHandleStyles: CSSProperties = {
+  left: '-1rem',
+};
+
+export const outputHandleStyles: CSSProperties = {
+  right: '-0.5rem',
+};
+
+type FieldHandleProps = {
+  nodeProps: NodeProps<InvocationNodeData>;
+  nodeTemplate: InvocationTemplate;
+  field: InputFieldValue | OutputFieldValue;
+  fieldTemplate: InputFieldTemplate | OutputFieldTemplate;
+  handleType: HandleType;
+  isConnectionInProgress: boolean;
+  isConnectionStartField: boolean;
+  connectionError: string | null;
+};
+
+const FieldHandle = (props: FieldHandleProps) => {
+  const {
+    fieldTemplate,
+    handleType,
+    isConnectionInProgress,
+    isConnectionStartField,
+    connectionError,
+  } = props;
+  const { name, type } = fieldTemplate;
+  const { color, title } = FIELDS[type];
+
+  const styles: CSSProperties = useMemo(() => {
+    const s: CSSProperties = {
+      backgroundColor: colorTokenToCssVar(color),
+      position: 'absolute',
+      width: '1rem',
+      height: '1rem',
+      borderWidth: 0,
+      zIndex: 1,
+    };
+
+    if (handleType === 'target') {
+      s.insetInlineStart = '-1rem';
+    } else {
+      s.insetInlineEnd = '-1rem';
+    }
+
+    if (isConnectionInProgress && !isConnectionStartField && connectionError) {
+      s.filter = 'opacity(0.4) grayscale(0.7)';
+    }
+
+    if (isConnectionInProgress && connectionError) {
+      if (isConnectionStartField) {
+        s.cursor = 'grab';
+      } else {
+        s.cursor = 'not-allowed';
+      }
+    } else {
+      s.cursor = 'crosshair';
+    }
+
+    return s;
+  }, [
+    color,
+    connectionError,
+    handleType,
+    isConnectionInProgress,
+    isConnectionStartField,
+  ]);
+
+  const tooltip = useMemo(() => {
+    if (isConnectionInProgress && isConnectionStartField) {
+      return title;
+    }
+    if (isConnectionInProgress && connectionError) {
+      return connectionError ?? title;
+    }
+    return title;
+  }, [connectionError, isConnectionInProgress, isConnectionStartField, title]);
+
+  return (
+    <Tooltip
+      label={tooltip}
+      placement={handleType === 'target' ? 'start' : 'end'}
+      hasArrow
+      openDelay={HANDLE_TOOLTIP_OPEN_DELAY}
+    >
+      <Handle
+        type={handleType}
+        id={name}
+        position={handleType === 'target' ? Position.Left : Position.Right}
+        style={styles}
+      />
+    </Tooltip>
+  );
+};
+
+export default memo(FieldHandle);
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/FieldTitle.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/FieldTitle.tsx
new file mode 100644
index 0000000000..fc239addf3
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/FieldTitle.tsx
@@ -0,0 +1,161 @@
+import {
+  Editable,
+  EditableInput,
+  EditablePreview,
+  Flex,
+  useEditableControls,
+} from '@chakra-ui/react';
+import { useAppDispatch } from 'app/store/storeHooks';
+import IAIDraggable from 'common/components/IAIDraggable';
+import { NodeFieldDraggableData } from 'features/dnd/types';
+import { fieldLabelChanged } from 'features/nodes/store/nodesSlice';
+import {
+  InputFieldTemplate,
+  InputFieldValue,
+  InvocationNodeData,
+  InvocationTemplate,
+} from 'features/nodes/types/types';
+import {
+  MouseEvent,
+  memo,
+  useCallback,
+  useEffect,
+  useMemo,
+  useState,
+} from 'react';
+
+interface Props {
+  nodeData: InvocationNodeData;
+  nodeTemplate: InvocationTemplate;
+  field: InputFieldValue;
+  fieldTemplate: InputFieldTemplate;
+  isDraggable?: boolean;
+}
+
+const FieldTitle = (props: Props) => {
+  const { nodeData, field, fieldTemplate, isDraggable = false } = props;
+  const { label } = field;
+  const { title, input } = fieldTemplate;
+  const { id: nodeId } = nodeData;
+  const dispatch = useAppDispatch();
+  const [localTitle, setLocalTitle] = useState(label || title);
+
+  const draggableData: NodeFieldDraggableData | undefined = useMemo(
+    () =>
+      input !== 'connection' && isDraggable
+        ? {
+            id: `${nodeId}-${field.name}`,
+            payloadType: 'NODE_FIELD',
+            payload: { nodeId, field, fieldTemplate },
+          }
+        : undefined,
+    [field, fieldTemplate, input, isDraggable, nodeId]
+  );
+
+  const handleSubmit = useCallback(
+    async (newTitle: string) => {
+      dispatch(
+        fieldLabelChanged({ nodeId, fieldName: field.name, label: newTitle })
+      );
+      setLocalTitle(newTitle || title);
+    },
+    [dispatch, nodeId, field.name, title]
+  );
+
+  const handleChange = useCallback((newTitle: string) => {
+    setLocalTitle(newTitle);
+  }, []);
+
+  useEffect(() => {
+    // Another component may change the title; sync local title with global state
+    setLocalTitle(label || title);
+  }, [label, title]);
+
+  return (
+    <Flex
+      className="nopan"
+      sx={{
+        position: 'relative',
+        overflow: 'hidden',
+        h: 'full',
+        alignItems: 'flex-start',
+        justifyContent: 'flex-start',
+        gap: 1,
+      }}
+    >
+      <Editable
+        value={localTitle}
+        onChange={handleChange}
+        onSubmit={handleSubmit}
+        sx={{
+          position: 'relative',
+        }}
+      >
+        <EditablePreview
+          sx={{
+            p: 0,
+            textAlign: 'left',
+          }}
+          noOfLines={1}
+        />
+        <EditableInput
+          sx={{
+            p: 0,
+            _focusVisible: {
+              p: 0,
+              textAlign: 'left',
+              boxShadow: 'none',
+            },
+          }}
+        />
+        <EditableControls draggableData={draggableData} />
+      </Editable>
+    </Flex>
+  );
+};
+
+export default memo(FieldTitle);
+
+type EditableControlsProps = {
+  draggableData?: NodeFieldDraggableData;
+};
+
+function EditableControls(props: EditableControlsProps) {
+  const { isEditing, getEditButtonProps } = useEditableControls();
+  const handleDoubleClick = useCallback(
+    (e: MouseEvent<HTMLDivElement>) => {
+      const { onClick } = getEditButtonProps();
+      if (!onClick) {
+        return;
+      }
+      onClick(e);
+    },
+    [getEditButtonProps]
+  );
+
+  if (isEditing) {
+    return null;
+  }
+
+  if (props.draggableData) {
+    return (
+      <IAIDraggable
+        data={props.draggableData}
+        onDoubleClick={handleDoubleClick}
+        cursor={props.draggableData ? 'grab' : 'text'}
+      />
+    );
+  }
+
+  return (
+    <Flex
+      onDoubleClick={handleDoubleClick}
+      position="absolute"
+      w="full"
+      h="full"
+      top={0}
+      insetInlineStart={0}
+      cursor="text"
+    />
+  );
+}
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/FieldTooltipContent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/FieldTooltipContent.tsx
new file mode 100644
index 0000000000..bf5cd3cd9b
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/FieldTooltipContent.tsx
@@ -0,0 +1,41 @@
+import { Flex, Text } from '@chakra-ui/react';
+import { FIELDS } from 'features/nodes/types/constants';
+import {
+  InputFieldTemplate,
+  InputFieldValue,
+  InvocationNodeData,
+  InvocationTemplate,
+  OutputFieldTemplate,
+  OutputFieldValue,
+  isInputFieldTemplate,
+  isInputFieldValue,
+} from 'features/nodes/types/types';
+import { startCase } from 'lodash-es';
+
+interface Props {
+  nodeData: InvocationNodeData;
+  nodeTemplate: InvocationTemplate;
+  field: InputFieldValue | OutputFieldValue;
+  fieldTemplate: InputFieldTemplate | OutputFieldTemplate;
+}
+
+const FieldTooltipContent = ({ field, fieldTemplate }: Props) => {
+  const isInputTemplate = isInputFieldTemplate(fieldTemplate);
+
+  return (
+    <Flex sx={{ flexDir: 'column' }}>
+      <Text sx={{ fontWeight: 600 }}>
+        {isInputFieldValue(field) && field.label
+          ? `${field.label} (${fieldTemplate.title})`
+          : fieldTemplate.title}
+      </Text>
+      <Text sx={{ opacity: 0.7, fontStyle: 'oblique 5deg' }}>
+        {fieldTemplate.description}
+      </Text>
+      <Text>Type: {FIELDS[fieldTemplate.type].title}</Text>
+      {isInputTemplate && <Text>Input: {startCase(fieldTemplate.input)}</Text>}
+    </Flex>
+  );
+};
+
+export default FieldTooltipContent;
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/InputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/InputField.tsx
new file mode 100644
index 0000000000..67f4369384
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/InputField.tsx
@@ -0,0 +1,153 @@
+import { Flex, FormControl, FormLabel, Tooltip } from '@chakra-ui/react';
+import { useConnectionState } from 'features/nodes/hooks/useConnectionState';
+import { HANDLE_TOOLTIP_OPEN_DELAY } from 'features/nodes/types/constants';
+import {
+  InputFieldValue,
+  InvocationNodeData,
+  InvocationTemplate,
+} from 'features/nodes/types/types';
+import { PropsWithChildren, useMemo } from 'react';
+import { NodeProps } from 'reactflow';
+import FieldHandle from './FieldHandle';
+import FieldTitle from './FieldTitle';
+import FieldTooltipContent from './FieldTooltipContent';
+import InputFieldRenderer from './InputFieldRenderer';
+
+interface Props {
+  nodeProps: NodeProps<InvocationNodeData>;
+  nodeTemplate: InvocationTemplate;
+  field: InputFieldValue;
+}
+
+const InputField = (props: Props) => {
+  const { nodeProps, nodeTemplate, field } = props;
+  const { id: nodeId } = nodeProps.data;
+
+  const {
+    isConnected,
+    isConnectionInProgress,
+    isConnectionStartField,
+    connectionError,
+    shouldDim,
+  } = useConnectionState({ nodeId, field, kind: 'input' });
+
+  const fieldTemplate = useMemo(
+    () => nodeTemplate.inputs[field.name],
+    [field.name, nodeTemplate.inputs]
+  );
+
+  const isMissingInput = useMemo(() => {
+    if (!fieldTemplate) {
+      return false;
+    }
+
+    if (!fieldTemplate.required) {
+      return false;
+    }
+
+    if (!isConnected && fieldTemplate.input === 'connection') {
+      return true;
+    }
+
+    if (!field.value && !isConnected && fieldTemplate.input === 'any') {
+      return true;
+    }
+  }, [fieldTemplate, isConnected, field.value]);
+
+  if (!fieldTemplate) {
+    return (
+      <InputFieldWrapper shouldDim={shouldDim}>
+        <FormControl
+          sx={{ color: 'error.400', textAlign: 'left', fontSize: 'sm' }}
+        >
+          Unknown input: {field.name}
+        </FormControl>
+      </InputFieldWrapper>
+    );
+  }
+
+  return (
+    <InputFieldWrapper shouldDim={shouldDim}>
+      <FormControl
+        as={Flex}
+        isInvalid={isMissingInput}
+        isDisabled={isConnected}
+        sx={{
+          alignItems: 'center',
+          justifyContent: 'space-between',
+          ps: 2,
+          gap: 2,
+        }}
+      >
+        <Tooltip
+          label={
+            <FieldTooltipContent
+              nodeData={nodeProps.data}
+              nodeTemplate={nodeTemplate}
+              field={field}
+              fieldTemplate={fieldTemplate}
+            />
+          }
+          openDelay={HANDLE_TOOLTIP_OPEN_DELAY}
+          placement="top"
+          shouldWrapChildren
+          hasArrow
+        >
+          <FormLabel sx={{ mb: 0 }}>
+            <FieldTitle
+              nodeData={nodeProps.data}
+              nodeTemplate={nodeTemplate}
+              field={field}
+              fieldTemplate={fieldTemplate}
+              isDraggable
+            />
+          </FormLabel>
+        </Tooltip>
+        <InputFieldRenderer
+          nodeData={nodeProps.data}
+          nodeTemplate={nodeTemplate}
+          field={field}
+          fieldTemplate={fieldTemplate}
+        />
+      </FormControl>
+
+      {fieldTemplate.input !== 'direct' && (
+        <FieldHandle
+          nodeProps={nodeProps}
+          nodeTemplate={nodeTemplate}
+          field={field}
+          fieldTemplate={fieldTemplate}
+          handleType="target"
+          isConnectionInProgress={isConnectionInProgress}
+          isConnectionStartField={isConnectionStartField}
+          connectionError={connectionError}
+        />
+      )}
+    </InputFieldWrapper>
+  );
+};
+
+export default InputField;
+
+type InputFieldWrapperProps = PropsWithChildren<{
+  shouldDim: boolean;
+}>;
+
+const InputFieldWrapper = ({ shouldDim, children }: InputFieldWrapperProps) => (
+  <Flex
+    className="nopan"
+    sx={{
+      position: 'relative',
+      minH: 8,
+      py: 0.5,
+      alignItems: 'center',
+      opacity: shouldDim ? 0.5 : 1,
+      transitionProperty: 'opacity',
+      transitionDuration: '0.1s',
+      w: 'full',
+      h: 'full',
+    }}
+  >
+    {children}
+  </Flex>
+);
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/InputFieldRenderer.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/InputFieldRenderer.tsx
new file mode 100644
index 0000000000..ce9d88af0a
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/InputFieldRenderer.tsx
@@ -0,0 +1,293 @@
+import { Box } from '@chakra-ui/react';
+import { memo } from 'react';
+import {
+  InputFieldTemplate,
+  InputFieldValue,
+  InvocationNodeData,
+  InvocationTemplate,
+} from '../../types/types';
+import BooleanInputField from './fieldTypes/BooleanInputField';
+import ClipInputField from './fieldTypes/ClipInputField';
+import CollectionInputField from './fieldTypes/CollectionInputField';
+import CollectionItemInputField from './fieldTypes/CollectionItemInputField';
+import ColorInputField from './fieldTypes/ColorInputField';
+import ConditioningInputField from './fieldTypes/ConditioningInputField';
+import ControlInputField from './fieldTypes/ControlInputField';
+import ControlNetModelInputField from './fieldTypes/ControlNetModelInputField';
+import EnumInputField from './fieldTypes/EnumInputField';
+import ImageCollectionInputField from './fieldTypes/ImageCollectionInputField';
+import ImageInputField from './fieldTypes/ImageInputField';
+import LatentsInputField from './fieldTypes/LatentsInputField';
+import LoRAModelInputField from './fieldTypes/LoRAModelInputField';
+import MainModelInputField from './fieldTypes/MainModelInputField';
+import NumberInputField from './fieldTypes/NumberInputField';
+import RefinerModelInputField from './fieldTypes/RefinerModelInputField';
+import SDXLMainModelInputField from './fieldTypes/SDXLMainModelInputField';
+import StringInputField from './fieldTypes/StringInputField';
+import UnetInputField from './fieldTypes/UnetInputField';
+import VaeInputField from './fieldTypes/VaeInputField';
+import VaeModelInputField from './fieldTypes/VaeModelInputField';
+
+type InputFieldProps = {
+  nodeData: InvocationNodeData;
+  nodeTemplate: InvocationTemplate;
+  field: InputFieldValue;
+  fieldTemplate: InputFieldTemplate;
+};
+
+// build an individual input element based on the schema
+const InputFieldRenderer = (props: InputFieldProps) => {
+  const { nodeData, nodeTemplate, field, fieldTemplate } = props;
+  const { type } = field;
+
+  if (type === 'string' && fieldTemplate.type === 'string') {
+    return (
+      <StringInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (type === 'boolean' && fieldTemplate.type === 'boolean') {
+    return (
+      <BooleanInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (
+    (type === 'integer' && fieldTemplate.type === 'integer') ||
+    (type === 'float' && fieldTemplate.type === 'float') ||
+    (type === 'Seed' && fieldTemplate.type === 'Seed')
+  ) {
+    return (
+      <NumberInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (type === 'enum' && fieldTemplate.type === 'enum') {
+    return (
+      <EnumInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (type === 'ImageField' && fieldTemplate.type === 'ImageField') {
+    return (
+      <ImageInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (type === 'LatentsField' && fieldTemplate.type === 'LatentsField') {
+    return (
+      <LatentsInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (
+    type === 'ConditioningField' &&
+    fieldTemplate.type === 'ConditioningField'
+  ) {
+    return (
+      <ConditioningInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (type === 'UNetField' && fieldTemplate.type === 'UNetField') {
+    return (
+      <UnetInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (type === 'ClipField' && fieldTemplate.type === 'ClipField') {
+    return (
+      <ClipInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (type === 'VaeField' && fieldTemplate.type === 'VaeField') {
+    return (
+      <VaeInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (type === 'ControlField' && fieldTemplate.type === 'ControlField') {
+    return (
+      <ControlInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (type === 'MainModelField' && fieldTemplate.type === 'MainModelField') {
+    return (
+      <MainModelInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (
+    type === 'SDXLRefinerModelField' &&
+    fieldTemplate.type === 'SDXLRefinerModelField'
+  ) {
+    return (
+      <RefinerModelInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (type === 'VaeModelField' && fieldTemplate.type === 'VaeModelField') {
+    return (
+      <VaeModelInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (type === 'LoRAModelField' && fieldTemplate.type === 'LoRAModelField') {
+    return (
+      <LoRAModelInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (
+    type === 'ControlNetModelField' &&
+    fieldTemplate.type === 'ControlNetModelField'
+  ) {
+    return (
+      <ControlNetModelInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (type === 'Collection' && fieldTemplate.type === 'Collection') {
+    return (
+      <CollectionInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (type === 'CollectionItem' && fieldTemplate.type === 'CollectionItem') {
+    return (
+      <CollectionItemInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (type === 'ColorField' && fieldTemplate.type === 'ColorField') {
+    return (
+      <ColorInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (type === 'ImageCollection' && fieldTemplate.type === 'ImageCollection') {
+    return (
+      <ImageCollectionInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (
+    type === 'SDXLMainModelField' &&
+    fieldTemplate.type === 'SDXLMainModelField'
+  ) {
+    return (
+      <SDXLMainModelInputField
+        nodeData={nodeData}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  return <Box p={2}>Unknown field type: {type}</Box>;
+};
+
+export default memo(InputFieldRenderer);
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/ItemInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/ItemInputFieldComponent.tsx
deleted file mode 100644
index 6fa89345bf..0000000000
--- a/invokeai/frontend/web/src/features/nodes/components/fields/ItemInputFieldComponent.tsx
+++ /dev/null
@@ -1,15 +0,0 @@
-import {
-  ItemInputFieldTemplate,
-  ItemInputFieldValue,
-} from 'features/nodes/types/types';
-import { memo } from 'react';
-import { FaAddressCard } from 'react-icons/fa';
-import { FieldComponentProps } from './types';
-
-const ItemInputFieldComponent = (
-  _props: FieldComponentProps<ItemInputFieldValue, ItemInputFieldTemplate>
-) => {
-  return <FaAddressCard />;
-};
-
-export default memo(ItemInputFieldComponent);
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/LinearViewField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/LinearViewField.tsx
new file mode 100644
index 0000000000..98a8000b1a
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/LinearViewField.tsx
@@ -0,0 +1,88 @@
+import { Flex, FormControl, FormLabel, Tooltip } from '@chakra-ui/react';
+import { HANDLE_TOOLTIP_OPEN_DELAY } from 'features/nodes/types/constants';
+import {
+  InputFieldTemplate,
+  InputFieldValue,
+  InvocationNodeData,
+  InvocationTemplate,
+} from 'features/nodes/types/types';
+import { memo } from 'react';
+import FieldTitle from './FieldTitle';
+import FieldTooltipContent from './FieldTooltipContent';
+import InputFieldRenderer from './InputFieldRenderer';
+
+type Props = {
+  nodeData: InvocationNodeData;
+  nodeTemplate: InvocationTemplate;
+  field: InputFieldValue;
+  fieldTemplate: InputFieldTemplate;
+};
+
+const LinearViewField = ({
+  nodeData,
+  nodeTemplate,
+  field,
+  fieldTemplate,
+}: Props) => {
+  // const dispatch = useAppDispatch();
+  // const handleRemoveField = useCallback(() => {
+  //   dispatch(
+  //     workflowExposedFieldRemoved({
+  //       nodeId: nodeData.id,
+  //       fieldName: field.name,
+  //     })
+  //   );
+  // }, [dispatch, field.name, nodeData.id]);
+
+  return (
+    <Flex
+      layerStyle="second"
+      sx={{
+        position: 'relative',
+        borderRadius: 'base',
+        w: 'full',
+        p: 2,
+      }}
+    >
+      <FormControl as={Flex} sx={{ flexDir: 'column', gap: 1, flexShrink: 1 }}>
+        <Tooltip
+          label={
+            <FieldTooltipContent
+              nodeData={nodeData}
+              nodeTemplate={nodeTemplate}
+              field={field}
+              fieldTemplate={fieldTemplate}
+            />
+          }
+          openDelay={HANDLE_TOOLTIP_OPEN_DELAY}
+          placement="top"
+          shouldWrapChildren
+          hasArrow
+        >
+          <FormLabel
+            sx={{
+              display: 'flex',
+              justifyContent: 'space-between',
+              mb: 0,
+            }}
+          >
+            <FieldTitle
+              nodeData={nodeData}
+              nodeTemplate={nodeTemplate}
+              field={field}
+              fieldTemplate={fieldTemplate}
+            />
+          </FormLabel>
+        </Tooltip>
+        <InputFieldRenderer
+          nodeData={nodeData}
+          nodeTemplate={nodeTemplate}
+          field={field}
+          fieldTemplate={fieldTemplate}
+        />
+      </FormControl>
+    </Flex>
+  );
+};
+
+export default memo(LinearViewField);
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/OutputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/OutputField.tsx
new file mode 100644
index 0000000000..5a29d1ab7e
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/OutputField.tsx
@@ -0,0 +1,114 @@
+import {
+  Flex,
+  FormControl,
+  FormLabel,
+  Spacer,
+  Tooltip,
+} from '@chakra-ui/react';
+import { useConnectionState } from 'features/nodes/hooks/useConnectionState';
+import { HANDLE_TOOLTIP_OPEN_DELAY } from 'features/nodes/types/constants';
+import {
+  InvocationNodeData,
+  InvocationTemplate,
+  OutputFieldValue,
+} from 'features/nodes/types/types';
+import { PropsWithChildren, useMemo } from 'react';
+import { NodeProps } from 'reactflow';
+import FieldHandle from './FieldHandle';
+import FieldTooltipContent from './FieldTooltipContent';
+
+interface Props {
+  nodeProps: NodeProps<InvocationNodeData>;
+  nodeTemplate: InvocationTemplate;
+  field: OutputFieldValue;
+}
+
+const OutputField = (props: Props) => {
+  const { nodeTemplate, nodeProps, field } = props;
+
+  const {
+    isConnected,
+    isConnectionInProgress,
+    isConnectionStartField,
+    connectionError,
+    shouldDim,
+  } = useConnectionState({ nodeId: nodeProps.data.id, field, kind: 'output' });
+
+  const fieldTemplate = useMemo(
+    () => nodeTemplate.outputs[field.name],
+    [field.name, nodeTemplate]
+  );
+
+  if (!fieldTemplate) {
+    return (
+      <OutputFieldWrapper shouldDim={shouldDim}>
+        <FormControl
+          sx={{ color: 'error.400', textAlign: 'right', fontSize: 'sm' }}
+        >
+          Unknown output: {field.name}
+        </FormControl>
+      </OutputFieldWrapper>
+    );
+  }
+
+  return (
+    <OutputFieldWrapper shouldDim={shouldDim}>
+      <Spacer />
+      <Tooltip
+        label={
+          <FieldTooltipContent
+            nodeData={nodeProps.data}
+            nodeTemplate={nodeTemplate}
+            field={field}
+            fieldTemplate={fieldTemplate}
+          />
+        }
+        openDelay={HANDLE_TOOLTIP_OPEN_DELAY}
+        placement="top"
+        shouldWrapChildren
+        hasArrow
+      >
+        <FormControl isDisabled={isConnected} pe={2}>
+          <FormLabel sx={{ mb: 0, fontWeight: 500 }}>
+            {fieldTemplate?.title}
+          </FormLabel>
+        </FormControl>
+      </Tooltip>
+      <FieldHandle
+        nodeProps={nodeProps}
+        nodeTemplate={nodeTemplate}
+        field={field}
+        fieldTemplate={fieldTemplate}
+        handleType="source"
+        isConnectionInProgress={isConnectionInProgress}
+        isConnectionStartField={isConnectionStartField}
+        connectionError={connectionError}
+      />
+    </OutputFieldWrapper>
+  );
+};
+
+export default OutputField;
+
+type OutputFieldWrapperProps = PropsWithChildren<{
+  shouldDim: boolean;
+}>;
+
+const OutputFieldWrapper = ({
+  shouldDim,
+  children,
+}: OutputFieldWrapperProps) => (
+  <Flex
+    sx={{
+      position: 'relative',
+      minH: 8,
+      py: 0.5,
+      alignItems: 'center',
+      opacity: shouldDim ? 0.5 : 1,
+      transitionProperty: 'opacity',
+      transitionDuration: '0.1s',
+    }}
+  >
+    {children}
+  </Flex>
+);
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/StringInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/StringInputFieldComponent.tsx
deleted file mode 100644
index 18cf7e997f..0000000000
--- a/invokeai/frontend/web/src/features/nodes/components/fields/StringInputFieldComponent.tsx
+++ /dev/null
@@ -1,36 +0,0 @@
-import { Input, Textarea } from '@chakra-ui/react';
-import { useAppDispatch } from 'app/store/storeHooks';
-import { fieldValueChanged } from 'features/nodes/store/nodesSlice';
-import {
-  StringInputFieldTemplate,
-  StringInputFieldValue,
-} from 'features/nodes/types/types';
-import { ChangeEvent, memo } from 'react';
-import { FieldComponentProps } from './types';
-
-const StringInputFieldComponent = (
-  props: FieldComponentProps<StringInputFieldValue, StringInputFieldTemplate>
-) => {
-  const { nodeId, field } = props;
-  const dispatch = useAppDispatch();
-
-  const handleValueChanged = (
-    e: ChangeEvent<HTMLInputElement | HTMLTextAreaElement>
-  ) => {
-    dispatch(
-      fieldValueChanged({
-        nodeId,
-        fieldName: field.name,
-        value: e.target.value,
-      })
-    );
-  };
-
-  return ['prompt', 'style'].includes(field.name.toLowerCase()) ? (
-    <Textarea onChange={handleValueChanged} value={field.value} rows={2} />
-  ) : (
-    <Input onChange={handleValueChanged} value={field.value} />
-  );
-};
-
-export default memo(StringInputFieldComponent);
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/BooleanInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/BooleanInputField.tsx
similarity index 53%
rename from invokeai/frontend/web/src/features/nodes/components/fields/BooleanInputFieldComponent.tsx
rename to invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/BooleanInputField.tsx
index 52a60253ba..00a2d2bd10 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/BooleanInputFieldComponent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/BooleanInputField.tsx
@@ -1,29 +1,33 @@
 import { Switch } from '@chakra-ui/react';
 import { useAppDispatch } from 'app/store/storeHooks';
-import { fieldValueChanged } from 'features/nodes/store/nodesSlice';
+import { fieldBooleanValueChanged } from 'features/nodes/store/nodesSlice';
 import {
   BooleanInputFieldTemplate,
   BooleanInputFieldValue,
 } from 'features/nodes/types/types';
-import { ChangeEvent, memo } from 'react';
+import { ChangeEvent, memo, useCallback } from 'react';
 import { FieldComponentProps } from './types';
 
 const BooleanInputFieldComponent = (
   props: FieldComponentProps<BooleanInputFieldValue, BooleanInputFieldTemplate>
 ) => {
-  const { nodeId, field } = props;
+  const { nodeData, field } = props;
+  const nodeId = nodeData.id;
 
   const dispatch = useAppDispatch();
 
-  const handleValueChanged = (e: ChangeEvent<HTMLInputElement>) => {
-    dispatch(
-      fieldValueChanged({
-        nodeId,
-        fieldName: field.name,
-        value: e.target.checked,
-      })
-    );
-  };
+  const handleValueChanged = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(
+        fieldBooleanValueChanged({
+          nodeId,
+          fieldName: field.name,
+          value: e.target.checked,
+        })
+      );
+    },
+    [dispatch, field.name, nodeId]
+  );
 
   return (
     <Switch onChange={handleValueChanged} isChecked={field.value}></Switch>
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/ClipInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ClipInputField.tsx
similarity index 100%
rename from invokeai/frontend/web/src/features/nodes/components/fields/ClipInputFieldComponent.tsx
rename to invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ClipInputField.tsx
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/CollectionInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/CollectionInputField.tsx
new file mode 100644
index 0000000000..99c88af2cb
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/CollectionInputField.tsx
@@ -0,0 +1,17 @@
+import {
+  CollectionInputFieldTemplate,
+  CollectionInputFieldValue,
+} from 'features/nodes/types/types';
+import { memo } from 'react';
+import { FieldComponentProps } from './types';
+
+const CollectionInputFieldComponent = (
+  _props: FieldComponentProps<
+    CollectionInputFieldValue,
+    CollectionInputFieldTemplate
+  >
+) => {
+  return null;
+};
+
+export default memo(CollectionInputFieldComponent);
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/CollectionItemInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/CollectionItemInputField.tsx
new file mode 100644
index 0000000000..00f753d8d3
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/CollectionItemInputField.tsx
@@ -0,0 +1,17 @@
+import {
+  CollectionItemInputFieldTemplate,
+  CollectionItemInputFieldValue,
+} from 'features/nodes/types/types';
+import { memo } from 'react';
+import { FieldComponentProps } from './types';
+
+const CollectionItemInputFieldComponent = (
+  _props: FieldComponentProps<
+    CollectionItemInputFieldValue,
+    CollectionItemInputFieldTemplate
+  >
+) => {
+  return null;
+};
+
+export default memo(CollectionItemInputFieldComponent);
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/ColorInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ColorInputField.tsx
similarity index 57%
rename from invokeai/frontend/web/src/features/nodes/components/fields/ColorInputFieldComponent.tsx
rename to invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ColorInputField.tsx
index c4884dcffc..c4a4d19a1e 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/ColorInputFieldComponent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ColorInputField.tsx
@@ -1,23 +1,33 @@
+import { useAppDispatch } from 'app/store/storeHooks';
+import { fieldColorValueChanged } from 'features/nodes/store/nodesSlice';
 import {
   ColorInputFieldTemplate,
   ColorInputFieldValue,
 } from 'features/nodes/types/types';
-import { memo } from 'react';
-import { FieldComponentProps } from './types';
+import { memo, useCallback } from 'react';
 import { RgbaColor, RgbaColorPicker } from 'react-colorful';
-import { fieldValueChanged } from 'features/nodes/store/nodesSlice';
-import { useAppDispatch } from 'app/store/storeHooks';
+import { FieldComponentProps } from './types';
 
 const ColorInputFieldComponent = (
   props: FieldComponentProps<ColorInputFieldValue, ColorInputFieldTemplate>
 ) => {
-  const { nodeId, field } = props;
+  const { nodeData, field } = props;
+  const nodeId = nodeData.id;
 
   const dispatch = useAppDispatch();
 
-  const handleValueChanged = (value: RgbaColor) => {
-    dispatch(fieldValueChanged({ nodeId, fieldName: field.name, value }));
-  };
+  const handleValueChanged = useCallback(
+    (value: RgbaColor) => {
+      dispatch(
+        fieldColorValueChanged({
+          nodeId,
+          fieldName: field.name,
+          value,
+        })
+      );
+    },
+    [dispatch, field.name, nodeId]
+  );
 
   return (
     <RgbaColorPicker
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/ConditioningInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ConditioningInputField.tsx
similarity index 100%
rename from invokeai/frontend/web/src/features/nodes/components/fields/ConditioningInputFieldComponent.tsx
rename to invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ConditioningInputField.tsx
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/ControlInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ControlInputField.tsx
similarity index 100%
rename from invokeai/frontend/web/src/features/nodes/components/fields/ControlInputFieldComponent.tsx
rename to invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ControlInputField.tsx
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/ControlNetModelInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ControlNetModelInputField.tsx
similarity index 91%
rename from invokeai/frontend/web/src/features/nodes/components/fields/ControlNetModelInputFieldComponent.tsx
rename to invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ControlNetModelInputField.tsx
index 7fe2373f66..f955d6f002 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/ControlNetModelInputFieldComponent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ControlNetModelInputField.tsx
@@ -1,7 +1,7 @@
 import { SelectItem } from '@mantine/core';
 import { useAppDispatch } from 'app/store/storeHooks';
 import IAIMantineSelect from 'common/components/IAIMantineSelect';
-import { fieldValueChanged } from 'features/nodes/store/nodesSlice';
+import { fieldControlNetModelValueChanged } from 'features/nodes/store/nodesSlice';
 import {
   ControlNetModelInputFieldTemplate,
   ControlNetModelInputFieldValue,
@@ -19,7 +19,8 @@ const ControlNetModelInputFieldComponent = (
     ControlNetModelInputFieldTemplate
   >
 ) => {
-  const { nodeId, field } = props;
+  const { nodeData, field } = props;
+  const nodeId = nodeData.id;
   const controlNetModel = field.value;
   const dispatch = useAppDispatch();
 
@@ -73,7 +74,7 @@ const ControlNetModelInputFieldComponent = (
       }
 
       dispatch(
-        fieldValueChanged({
+        fieldControlNetModelValueChanged({
           nodeId,
           fieldName: field.name,
           value: newControlNetModel,
@@ -85,10 +86,8 @@ const ControlNetModelInputFieldComponent = (
 
   return (
     <IAIMantineSelect
+      className="nowheel"
       tooltip={selectedModel?.description}
-      label={
-        selectedModel?.base_model && MODEL_TYPE_MAP[selectedModel?.base_model]
-      }
       value={selectedModel?.id ?? null}
       placeholder="Pick one"
       error={!selectedModel}
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/EnumInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/EnumInputField.tsx
new file mode 100644
index 0000000000..210a83b6ac
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/EnumInputField.tsx
@@ -0,0 +1,45 @@
+import { Select } from '@chakra-ui/react';
+import { useAppDispatch } from 'app/store/storeHooks';
+import { fieldEnumModelValueChanged } from 'features/nodes/store/nodesSlice';
+import {
+  EnumInputFieldTemplate,
+  EnumInputFieldValue,
+} from 'features/nodes/types/types';
+import { ChangeEvent, memo, useCallback } from 'react';
+import { FieldComponentProps } from './types';
+
+const EnumInputFieldComponent = (
+  props: FieldComponentProps<EnumInputFieldValue, EnumInputFieldTemplate>
+) => {
+  const { nodeData, field, fieldTemplate } = props;
+  const nodeId = nodeData.id;
+
+  const dispatch = useAppDispatch();
+
+  const handleValueChanged = useCallback(
+    (e: ChangeEvent<HTMLSelectElement>) => {
+      dispatch(
+        fieldEnumModelValueChanged({
+          nodeId,
+          fieldName: field.name,
+          value: e.target.value,
+        })
+      );
+    },
+    [dispatch, field.name, nodeId]
+  );
+
+  return (
+    <Select
+      className="nowheel"
+      onChange={handleValueChanged}
+      value={field.value}
+    >
+      {fieldTemplate.options.map((option) => (
+        <option key={option}>{option}</option>
+      ))}
+    </Select>
+  );
+};
+
+export default memo(EnumInputFieldComponent);
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/ImageCollectionInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageCollectionInputField.tsx
similarity index 86%
rename from invokeai/frontend/web/src/features/nodes/components/fields/ImageCollectionInputFieldComponent.tsx
rename to invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageCollectionInputField.tsx
index 8ecd6c8cd9..1ca820939b 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/ImageCollectionInputFieldComponent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageCollectionInputField.tsx
@@ -5,13 +5,11 @@ import {
 import { memo } from 'react';
 
 import { Flex } from '@chakra-ui/react';
-import {
-  NodesMultiImageDropData,
-  isValidDrop,
-  useDroppable,
-} from 'app/components/ImageDnd/typesafeDnd';
 import IAIDndImage from 'common/components/IAIDndImage';
 import IAIDropOverlay from 'common/components/IAIDropOverlay';
+import { useDroppableTypesafe } from 'features/dnd/hooks/typesafeHooks';
+import { NodesMultiImageDropData } from 'features/dnd/types';
+import { isValidDrop } from 'features/dnd/util/isValidDrop';
 import { useGetImageDTOQuery } from 'services/api/endpoints/images';
 import { FieldComponentProps } from './types';
 
@@ -21,7 +19,8 @@ const ImageCollectionInputFieldComponent = (
     ImageCollectionInputFieldTemplate
   >
 ) => {
-  const { nodeId, field } = props;
+  const { nodeData, field } = props;
+  const nodeId = nodeData.id;
 
   // const dispatch = useAppDispatch();
 
@@ -41,14 +40,14 @@ const ImageCollectionInputFieldComponent = (
   const droppableData: NodesMultiImageDropData = {
     id: `node-${nodeId}-${field.name}`,
     actionType: 'SET_MULTI_NODES_IMAGE',
-    context: { nodeId, fieldName: field.name },
+    context: { nodeId: nodeId, fieldName: field.name },
   };
 
   const {
     isOver,
     setNodeRef: setDroppableRef,
     active,
-  } = useDroppable({
+  } = useDroppableTypesafe({
     id: `node_${nodeId}`,
     data: droppableData,
   });
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/ImageInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageInputField.tsx
similarity index 88%
rename from invokeai/frontend/web/src/features/nodes/components/fields/ImageInputFieldComponent.tsx
rename to invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageInputField.tsx
index b16897d889..a7305d889d 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/ImageInputFieldComponent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageInputField.tsx
@@ -1,12 +1,12 @@
 import { Flex } from '@chakra-ui/react';
 import { skipToken } from '@reduxjs/toolkit/dist/query';
+import { useAppDispatch } from 'app/store/storeHooks';
+import IAIDndImage from 'common/components/IAIDndImage';
 import {
   TypesafeDraggableData,
   TypesafeDroppableData,
-} from 'app/components/ImageDnd/typesafeDnd';
-import { useAppDispatch } from 'app/store/storeHooks';
-import IAIDndImage from 'common/components/IAIDndImage';
-import { fieldValueChanged } from 'features/nodes/store/nodesSlice';
+} from 'features/dnd/types';
+import { fieldImageValueChanged } from 'features/nodes/store/nodesSlice';
 import {
   ImageInputFieldTemplate,
   ImageInputFieldValue,
@@ -19,8 +19,8 @@ import { FieldComponentProps } from './types';
 const ImageInputFieldComponent = (
   props: FieldComponentProps<ImageInputFieldValue, ImageInputFieldTemplate>
 ) => {
-  const { nodeId, field } = props;
-
+  const { nodeData, field } = props;
+  const nodeId = nodeData.id;
   const dispatch = useAppDispatch();
 
   const { currentData: imageDTO } = useGetImageDTOQuery(
@@ -29,7 +29,7 @@ const ImageInputFieldComponent = (
 
   const handleReset = useCallback(() => {
     dispatch(
-      fieldValueChanged({
+      fieldImageValueChanged({
         nodeId,
         fieldName: field.name,
         value: undefined,
@@ -79,6 +79,9 @@ const ImageInputFieldComponent = (
         droppableData={droppableData}
         draggableData={draggableData}
         onClickReset={handleReset}
+        withResetIcon
+        thumbnail
+        useThumbailFallback
         postUploadAction={postUploadAction}
       />
     </Flex>
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/LatentsInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/LatentsInputField.tsx
similarity index 100%
rename from invokeai/frontend/web/src/features/nodes/components/fields/LatentsInputFieldComponent.tsx
rename to invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/LatentsInputField.tsx
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/LoRAModelInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/LoRAModelInputField.tsx
similarity index 92%
rename from invokeai/frontend/web/src/features/nodes/components/fields/LoRAModelInputFieldComponent.tsx
rename to invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/LoRAModelInputField.tsx
index 27d15fb93e..8aae6ee9a4 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/LoRAModelInputFieldComponent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/LoRAModelInputField.tsx
@@ -3,7 +3,7 @@ import { SelectItem } from '@mantine/core';
 import { useAppDispatch } from 'app/store/storeHooks';
 import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
 import IAIMantineSelectItemWithTooltip from 'common/components/IAIMantineSelectItemWithTooltip';
-import { fieldValueChanged } from 'features/nodes/store/nodesSlice';
+import { fieldLoRAModelValueChanged } from 'features/nodes/store/nodesSlice';
 import {
   LoRAModelInputFieldTemplate,
   LoRAModelInputFieldValue,
@@ -21,7 +21,8 @@ const LoRAModelInputFieldComponent = (
     LoRAModelInputFieldTemplate
   >
 ) => {
-  const { nodeId, field } = props;
+  const { nodeData, field } = props;
+  const nodeId = nodeData.id;
   const lora = field.value;
   const dispatch = useAppDispatch();
   const { data: loraModels } = useGetLoRAModelsQuery();
@@ -68,7 +69,7 @@ const LoRAModelInputFieldComponent = (
       }
 
       dispatch(
-        fieldValueChanged({
+        fieldLoRAModelValueChanged({
           nodeId,
           fieldName: field.name,
           value: newLoRAModel,
@@ -90,11 +91,8 @@ const LoRAModelInputFieldComponent = (
 
   return (
     <IAIMantineSearchableSelect
+      className="nowheel"
       value={selectedLoRAModel?.id ?? null}
-      label={
-        selectedLoRAModel?.base_model &&
-        MODEL_TYPE_MAP[selectedLoRAModel?.base_model]
-      }
       placeholder={data.length > 0 ? 'Select a LoRA' : 'No LoRAs available'}
       data={data}
       nothingFound="No matching LoRAs"
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/MainModelInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/MainModelInputField.tsx
new file mode 100644
index 0000000000..f1047f52cb
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/MainModelInputField.tsx
@@ -0,0 +1,144 @@
+import { Flex, Text } from '@chakra-ui/react';
+import { SelectItem } from '@mantine/core';
+import { useAppDispatch } from 'app/store/storeHooks';
+import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
+import { fieldMainModelValueChanged } from 'features/nodes/store/nodesSlice';
+import {
+  MainModelInputFieldTemplate,
+  MainModelInputFieldValue,
+} from 'features/nodes/types/types';
+import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
+import { modelIdToMainModelParam } from 'features/parameters/util/modelIdToMainModelParam';
+import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
+import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
+import { forEach } from 'lodash-es';
+import { memo, useCallback, useMemo } from 'react';
+import { NON_SDXL_MAIN_MODELS } from 'services/api/constants';
+import {
+  useGetMainModelsQuery,
+  useGetOnnxModelsQuery,
+} from 'services/api/endpoints/models';
+import { FieldComponentProps } from './types';
+
+const MainModelInputFieldComponent = (
+  props: FieldComponentProps<
+    MainModelInputFieldValue,
+    MainModelInputFieldTemplate
+  >
+) => {
+  const { nodeData, field } = props;
+  const nodeId = nodeData.id;
+  const dispatch = useAppDispatch();
+  const isSyncModelEnabled = useFeatureStatus('syncModels').isFeatureEnabled;
+
+  const { data: onnxModels, isLoading: isLoadingOnnxModels } =
+    useGetOnnxModelsQuery(NON_SDXL_MAIN_MODELS);
+  const { data: mainModels, isLoading: isLoadingMainModels } =
+    useGetMainModelsQuery(NON_SDXL_MAIN_MODELS);
+
+  const isLoadingModels = useMemo(
+    () => isLoadingOnnxModels || isLoadingMainModels,
+    [isLoadingOnnxModels, isLoadingMainModels]
+  );
+
+  const data = useMemo(() => {
+    if (!mainModels) {
+      return [];
+    }
+
+    const data: SelectItem[] = [];
+
+    forEach(mainModels.entities, (model, id) => {
+      if (!model) {
+        return;
+      }
+
+      data.push({
+        value: id,
+        label: model.model_name,
+        group: MODEL_TYPE_MAP[model.base_model],
+      });
+    });
+
+    if (onnxModels) {
+      forEach(onnxModels.entities, (model, id) => {
+        if (!model) {
+          return;
+        }
+
+        data.push({
+          value: id,
+          label: model.model_name,
+          group: MODEL_TYPE_MAP[model.base_model],
+        });
+      });
+    }
+    return data;
+  }, [mainModels, onnxModels]);
+
+  // grab the full model entity from the RTK Query cache
+  // TODO: maybe we should just store the full model entity in state?
+  const selectedModel = useMemo(
+    () =>
+      (mainModels?.entities[
+        `${field.value?.base_model}/main/${field.value?.model_name}`
+      ] ||
+        onnxModels?.entities[
+          `${field.value?.base_model}/onnx/${field.value?.model_name}`
+        ]) ??
+      null,
+    [
+      field.value?.base_model,
+      field.value?.model_name,
+      mainModels?.entities,
+      onnxModels?.entities,
+    ]
+  );
+
+  const handleChangeModel = useCallback(
+    (v: string | null) => {
+      if (!v) {
+        return;
+      }
+
+      const newModel = modelIdToMainModelParam(v);
+
+      if (!newModel) {
+        return;
+      }
+
+      dispatch(
+        fieldMainModelValueChanged({
+          nodeId,
+          fieldName: field.name,
+          value: newModel,
+        })
+      );
+    },
+    [dispatch, field.name, nodeId]
+  );
+
+  return (
+    <Flex sx={{ w: 'full', alignItems: 'center', gap: 2 }}>
+      {isLoadingModels ? (
+        <Text variant="subtext">Loading...</Text>
+      ) : (
+        <IAIMantineSearchableSelect
+          className="nowheel"
+          tooltip={selectedModel?.description}
+          value={selectedModel?.id}
+          placeholder={
+            data.length > 0 ? 'Select a model' : 'No models available'
+          }
+          data={data}
+          error={!selectedModel}
+          disabled={data.length === 0}
+          onChange={handleChangeModel}
+        />
+      )}
+      {isSyncModelEnabled && <SyncModelsButton iconMode />}
+    </Flex>
+  );
+};
+
+export default memo(MainModelInputFieldComponent);
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/NumberInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/NumberInputField.tsx
similarity index 67%
rename from invokeai/frontend/web/src/features/nodes/components/fields/NumberInputFieldComponent.tsx
rename to invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/NumberInputField.tsx
index 50d69a6496..3d82003882 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/NumberInputFieldComponent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/NumberInputField.tsx
@@ -7,27 +7,34 @@ import {
 } from '@chakra-ui/react';
 import { useAppDispatch } from 'app/store/storeHooks';
 import { numberStringRegex } from 'common/components/IAINumberInput';
-import { fieldValueChanged } from 'features/nodes/store/nodesSlice';
+import { fieldNumberValueChanged } from 'features/nodes/store/nodesSlice';
 import {
   FloatInputFieldTemplate,
   FloatInputFieldValue,
   IntegerInputFieldTemplate,
   IntegerInputFieldValue,
+  SeedInputFieldTemplate,
+  SeedInputFieldValue,
 } from 'features/nodes/types/types';
-import { memo, useEffect, useState } from 'react';
+import { memo, useEffect, useMemo, useState } from 'react';
 import { FieldComponentProps } from './types';
 
 const NumberInputFieldComponent = (
   props: FieldComponentProps<
-    IntegerInputFieldValue | FloatInputFieldValue,
-    IntegerInputFieldTemplate | FloatInputFieldTemplate
+    IntegerInputFieldValue | FloatInputFieldValue | SeedInputFieldValue,
+    IntegerInputFieldTemplate | FloatInputFieldTemplate | SeedInputFieldTemplate
   >
 ) => {
-  const { nodeId, field } = props;
+  const { nodeData, field, fieldTemplate } = props;
+  const nodeId = nodeData.id;
   const dispatch = useAppDispatch();
   const [valueAsString, setValueAsString] = useState<string>(
     String(field.value)
   );
+  const isIntegerField = useMemo(
+    () => fieldTemplate.type === 'integer' || fieldTemplate.type === 'Seed',
+    [fieldTemplate.type]
+  );
 
   const handleValueChanged = (v: string) => {
     setValueAsString(v);
@@ -35,13 +42,10 @@ const NumberInputFieldComponent = (
     if (!v.match(numberStringRegex)) {
       // Cast the value to number. Floor it if it should be an integer.
       dispatch(
-        fieldValueChanged({
+        fieldNumberValueChanged({
           nodeId,
           fieldName: field.name,
-          value:
-            props.template.type === 'integer'
-              ? Math.floor(Number(v))
-              : Number(v),
+          value: isIntegerField ? Math.floor(Number(v)) : Number(v),
         })
       );
     }
@@ -60,8 +64,8 @@ const NumberInputFieldComponent = (
     <NumberInput
       onChange={handleValueChanged}
       value={valueAsString}
-      step={props.template.type === 'integer' ? 1 : 0.1}
-      precision={props.template.type === 'integer' ? 0 : 3}
+      step={isIntegerField ? 1 : 0.1}
+      precision={isIntegerField ? 0 : 3}
     >
       <NumberInputField />
       <NumberInputStepper>
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/RefinerModelInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/RefinerModelInputField.tsx
similarity index 89%
rename from invokeai/frontend/web/src/features/nodes/components/fields/RefinerModelInputFieldComponent.tsx
rename to invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/RefinerModelInputField.tsx
index 28c6567e8d..4a419b51d6 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/RefinerModelInputFieldComponent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/RefinerModelInputField.tsx
@@ -2,13 +2,14 @@ import { Box, Flex } from '@chakra-ui/react';
 import { SelectItem } from '@mantine/core';
 import { useAppDispatch } from 'app/store/storeHooks';
 import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
-import { fieldValueChanged } from 'features/nodes/store/nodesSlice';
+import { fieldRefinerModelValueChanged } from 'features/nodes/store/nodesSlice';
 import {
-  RefinerModelInputFieldTemplate,
-  RefinerModelInputFieldValue,
+  SDXLRefinerModelInputFieldTemplate,
+  SDXLRefinerModelInputFieldValue,
 } from 'features/nodes/types/types';
 import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
 import { modelIdToMainModelParam } from 'features/parameters/util/modelIdToMainModelParam';
+import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
 import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
 import { forEach } from 'lodash-es';
 import { memo, useCallback, useMemo } from 'react';
@@ -16,16 +17,15 @@ import { useTranslation } from 'react-i18next';
 import { REFINER_BASE_MODELS } from 'services/api/constants';
 import { useGetMainModelsQuery } from 'services/api/endpoints/models';
 import { FieldComponentProps } from './types';
-import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
 
 const RefinerModelInputFieldComponent = (
   props: FieldComponentProps<
-    RefinerModelInputFieldValue,
-    RefinerModelInputFieldTemplate
+    SDXLRefinerModelInputFieldValue,
+    SDXLRefinerModelInputFieldTemplate
   >
 ) => {
-  const { nodeId, field } = props;
-
+  const { nodeData, field } = props;
+  const nodeId = nodeData.id;
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
   const isSyncModelEnabled = useFeatureStatus('syncModels').isFeatureEnabled;
@@ -77,7 +77,7 @@ const RefinerModelInputFieldComponent = (
       }
 
       dispatch(
-        fieldValueChanged({
+        fieldRefinerModelValueChanged({
           nodeId,
           fieldName: field.name,
           value: newModel,
@@ -97,10 +97,8 @@ const RefinerModelInputFieldComponent = (
   ) : (
     <Flex w="100%" alignItems="center" gap={2}>
       <IAIMantineSearchableSelect
+        className="nowheel"
         tooltip={selectedModel?.description}
-        label={
-          selectedModel?.base_model && MODEL_TYPE_MAP[selectedModel?.base_model]
-        }
         value={selectedModel?.id}
         placeholder={data.length > 0 ? 'Select a model' : 'No models available'}
         data={data}
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/ModelInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/SDXLMainModelInputField.tsx
similarity index 78%
rename from invokeai/frontend/web/src/features/nodes/components/fields/ModelInputFieldComponent.tsx
rename to invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/SDXLMainModelInputField.tsx
index 154c3c1cb0..89bd6b2b65 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/ModelInputFieldComponent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/SDXLMainModelInputField.tsx
@@ -1,40 +1,41 @@
-import { useAppDispatch } from 'app/store/storeHooks';
-import { fieldValueChanged } from 'features/nodes/store/nodesSlice';
-import {
-  MainModelInputFieldValue,
-  ModelInputFieldTemplate,
-} from 'features/nodes/types/types';
-
-import { Box, Flex } from '@chakra-ui/react';
+import { Flex } from '@chakra-ui/react';
 import { SelectItem } from '@mantine/core';
+import { useAppDispatch } from 'app/store/storeHooks';
 import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
+import { fieldMainModelValueChanged } from 'features/nodes/store/nodesSlice';
+import {
+  SDXLMainModelInputFieldTemplate,
+  SDXLMainModelInputFieldValue,
+} from 'features/nodes/types/types';
 import { MODEL_TYPE_MAP } from 'features/parameters/types/constants';
 import { modelIdToMainModelParam } from 'features/parameters/util/modelIdToMainModelParam';
+import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
 import SyncModelsButton from 'features/ui/components/tabs/ModelManager/subpanels/ModelManagerSettingsPanel/SyncModelsButton';
 import { forEach } from 'lodash-es';
 import { memo, useCallback, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
+import { SDXL_MAIN_MODELS } from 'services/api/constants';
 import {
   useGetMainModelsQuery,
   useGetOnnxModelsQuery,
 } from 'services/api/endpoints/models';
-import { NON_REFINER_BASE_MODELS } from 'services/api/constants';
 import { FieldComponentProps } from './types';
-import { useFeatureStatus } from '../../../system/hooks/useFeatureStatus';
 
 const ModelInputFieldComponent = (
-  props: FieldComponentProps<MainModelInputFieldValue, ModelInputFieldTemplate>
+  props: FieldComponentProps<
+    SDXLMainModelInputFieldValue,
+    SDXLMainModelInputFieldTemplate
+  >
 ) => {
-  const { nodeId, field } = props;
-
+  const { nodeData, field } = props;
+  const nodeId = nodeData.id;
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
   const isSyncModelEnabled = useFeatureStatus('syncModels').isFeatureEnabled;
 
-  const { data: onnxModels } = useGetOnnxModelsQuery(NON_REFINER_BASE_MODELS);
-  const { data: mainModels, isLoading } = useGetMainModelsQuery(
-    NON_REFINER_BASE_MODELS
-  );
+  const { data: onnxModels } = useGetOnnxModelsQuery(SDXL_MAIN_MODELS);
+  const { data: mainModels, isLoading } =
+    useGetMainModelsQuery(SDXL_MAIN_MODELS);
 
   const data = useMemo(() => {
     if (!mainModels) {
@@ -44,7 +45,7 @@ const ModelInputFieldComponent = (
     const data: SelectItem[] = [];
 
     forEach(mainModels.entities, (model, id) => {
-      if (!model) {
+      if (!model || model.base_model !== 'sdxl') {
         return;
       }
 
@@ -57,7 +58,7 @@ const ModelInputFieldComponent = (
 
     if (onnxModels) {
       forEach(onnxModels.entities, (model, id) => {
-        if (!model) {
+        if (!model || model.base_model !== 'sdxl') {
           return;
         }
 
@@ -103,7 +104,7 @@ const ModelInputFieldComponent = (
       }
 
       dispatch(
-        fieldValueChanged({
+        fieldMainModelValueChanged({
           nodeId,
           fieldName: field.name,
           value: newModel,
@@ -123,10 +124,8 @@ const ModelInputFieldComponent = (
   ) : (
     <Flex w="100%" alignItems="center" gap={2}>
       <IAIMantineSearchableSelect
+        className="nowheel"
         tooltip={selectedModel?.description}
-        label={
-          selectedModel?.base_model && MODEL_TYPE_MAP[selectedModel?.base_model]
-        }
         value={selectedModel?.id}
         placeholder={data.length > 0 ? 'Select a model' : 'No models available'}
         data={data}
@@ -134,11 +133,7 @@ const ModelInputFieldComponent = (
         disabled={data.length === 0}
         onChange={handleChangeModel}
       />
-      {isSyncModelEnabled && (
-        <Box mt={7}>
-          <SyncModelsButton iconMode />
-        </Box>
-      )}
+      {isSyncModelEnabled && <SyncModelsButton iconMode />}
     </Flex>
   );
 };
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/StringInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/StringInputField.tsx
new file mode 100644
index 0000000000..8cc0cf774f
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/StringInputField.tsx
@@ -0,0 +1,46 @@
+import { useAppDispatch } from 'app/store/storeHooks';
+import IAIInput from 'common/components/IAIInput';
+import IAITextarea from 'common/components/IAITextarea';
+import { fieldStringValueChanged } from 'features/nodes/store/nodesSlice';
+import {
+  StringInputFieldTemplate,
+  StringInputFieldValue,
+} from 'features/nodes/types/types';
+import { ChangeEvent, memo, useCallback } from 'react';
+import { FieldComponentProps } from './types';
+
+const StringInputFieldComponent = (
+  props: FieldComponentProps<StringInputFieldValue, StringInputFieldTemplate>
+) => {
+  const { nodeData, field, fieldTemplate } = props;
+  const nodeId = nodeData.id;
+  const dispatch = useAppDispatch();
+
+  const handleValueChanged = useCallback(
+    (e: ChangeEvent<HTMLInputElement | HTMLTextAreaElement>) => {
+      dispatch(
+        fieldStringValueChanged({
+          nodeId,
+          fieldName: field.name,
+          value: e.target.value,
+        })
+      );
+    },
+    [dispatch, field.name, nodeId]
+  );
+
+  if (fieldTemplate.ui_component === 'textarea') {
+    return (
+      <IAITextarea
+        onChange={handleValueChanged}
+        value={field.value}
+        rows={5}
+        resize="none"
+      />
+    );
+  }
+
+  return <IAIInput onChange={handleValueChanged} value={field.value} />;
+};
+
+export default memo(StringInputFieldComponent);
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/UnetInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/UnetInputField.tsx
similarity index 100%
rename from invokeai/frontend/web/src/features/nodes/components/fields/UnetInputFieldComponent.tsx
rename to invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/UnetInputField.tsx
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/VaeInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/VaeInputField.tsx
similarity index 100%
rename from invokeai/frontend/web/src/features/nodes/components/fields/VaeInputFieldComponent.tsx
rename to invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/VaeInputField.tsx
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/VaeModelInputFieldComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/VaeModelInputField.tsx
similarity index 93%
rename from invokeai/frontend/web/src/features/nodes/components/fields/VaeModelInputFieldComponent.tsx
rename to invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/VaeModelInputField.tsx
index 3fe04b6e29..a8f6a24de4 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/VaeModelInputFieldComponent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/VaeModelInputField.tsx
@@ -2,7 +2,7 @@ import { SelectItem } from '@mantine/core';
 import { useAppDispatch } from 'app/store/storeHooks';
 import IAIMantineSearchableSelect from 'common/components/IAIMantineSearchableSelect';
 import IAIMantineSelectItemWithTooltip from 'common/components/IAIMantineSelectItemWithTooltip';
-import { fieldValueChanged } from 'features/nodes/store/nodesSlice';
+import { fieldVaeModelValueChanged } from 'features/nodes/store/nodesSlice';
 import {
   VaeModelInputFieldTemplate,
   VaeModelInputFieldValue,
@@ -20,7 +20,8 @@ const VaeModelInputFieldComponent = (
     VaeModelInputFieldTemplate
   >
 ) => {
-  const { nodeId, field } = props;
+  const { nodeData, field } = props;
+  const nodeId = nodeData.id;
   const vae = field.value;
   const dispatch = useAppDispatch();
   const { data: vaeModels } = useGetVaeModelsQuery();
@@ -73,7 +74,7 @@ const VaeModelInputFieldComponent = (
       }
 
       dispatch(
-        fieldValueChanged({
+        fieldVaeModelValueChanged({
           nodeId,
           fieldName: field.name,
           value: newVaeModel,
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/types.ts b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/types.ts
similarity index 60%
rename from invokeai/frontend/web/src/features/nodes/components/fields/types.ts
rename to invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/types.ts
index cd8c076c89..b1d14c9018 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/types.ts
@@ -1,13 +1,16 @@
 import {
   InputFieldTemplate,
   InputFieldValue,
+  InvocationNodeData,
+  InvocationTemplate,
 } from 'features/nodes/types/types';
 
 export type FieldComponentProps<
   V extends InputFieldValue,
   T extends InputFieldTemplate
 > = {
-  nodeId: string;
+  nodeData: InvocationNodeData;
+  nodeTemplate: InvocationTemplate;
   field: V;
-  template: T;
+  fieldTemplate: T;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/components/nodes/CurrentImageNode.tsx b/invokeai/frontend/web/src/features/nodes/components/nodes/CurrentImageNode.tsx
new file mode 100644
index 0000000000..04e51159c6
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/nodes/CurrentImageNode.tsx
@@ -0,0 +1,93 @@
+import { Flex, Image, Text } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import IAIDndImage from 'common/components/IAIDndImage';
+import { IAINoContentFallback } from 'common/components/IAIImageFallback';
+import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
+import { PropsWithChildren, memo } from 'react';
+import { useSelector } from 'react-redux';
+import { NodeProps } from 'reactflow';
+import NodeWrapper from '../Invocation/NodeWrapper';
+
+const selector = createSelector(stateSelector, ({ system, gallery }) => {
+  const imageDTO = gallery.selection[gallery.selection.length - 1];
+
+  return {
+    imageDTO,
+    progressImage: system.progressImage,
+  };
+});
+
+const CurrentImageNode = (props: NodeProps) => {
+  const { progressImage, imageDTO } = useSelector(selector);
+
+  if (progressImage) {
+    return (
+      <Wrapper nodeProps={props}>
+        <Image
+          src={progressImage.dataURL}
+          sx={{
+            w: 'full',
+            h: 'full',
+            objectFit: 'contain',
+            borderRadius: 'base',
+          }}
+        />
+      </Wrapper>
+    );
+  }
+
+  if (imageDTO) {
+    return (
+      <Wrapper nodeProps={props}>
+        <IAIDndImage imageDTO={imageDTO} isDragDisabled useThumbailFallback />
+      </Wrapper>
+    );
+  }
+
+  return (
+    <Wrapper nodeProps={props}>
+      <IAINoContentFallback />
+    </Wrapper>
+  );
+};
+
+export default memo(CurrentImageNode);
+
+const Wrapper = (props: PropsWithChildren<{ nodeProps: NodeProps }>) => (
+  <NodeWrapper nodeProps={props.nodeProps} width={384}>
+    <Flex
+      className={DRAG_HANDLE_CLASSNAME}
+      sx={{
+        flexDirection: 'column',
+      }}
+    >
+      <Flex
+        layerStyle="nodeHeader"
+        sx={{
+          borderTopRadius: 'base',
+          alignItems: 'center',
+          justifyContent: 'center',
+          h: 8,
+        }}
+      >
+        <Text
+          sx={{
+            fontSize: 'sm',
+            fontWeight: 600,
+            color: 'base.700',
+            _dark: { color: 'base.200' },
+          }}
+        >
+          Current Image
+        </Text>
+      </Flex>
+      <Flex
+        layerStyle="nodeBody"
+        sx={{ w: 'full', h: 'full', borderBottomRadius: 'base', p: 2 }}
+      >
+        {props.children}
+      </Flex>
+    </Flex>
+  </NodeWrapper>
+);
diff --git a/invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNode.tsx b/invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNode.tsx
new file mode 100644
index 0000000000..f5274bf966
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNode.tsx
@@ -0,0 +1,127 @@
+import { Flex, Icon } from '@chakra-ui/react';
+import { useAppSelector } from 'app/store/storeHooks';
+import { makeTemplateSelector } from 'features/nodes/store/util/makeTemplateSelector';
+import { InvocationNodeData } from 'features/nodes/types/types';
+import { map } from 'lodash-es';
+import { memo, useMemo } from 'react';
+import { FaExclamationCircle } from 'react-icons/fa';
+import { NodeProps } from 'reactflow';
+import NodeCollapseButton from '../Invocation/NodeCollapseButton';
+import NodeCollapsedHandles from '../Invocation/NodeCollapsedHandles';
+import NodeFooter from '../Invocation/NodeFooter';
+import NodeNotesEdit from '../Invocation/NodeNotesEdit';
+import NodeStatusIndicator from '../Invocation/NodeStatusIndicator';
+import NodeTitle from '../Invocation/NodeTitle';
+import NodeWrapper from '../Invocation/NodeWrapper';
+import InputField from '../fields/InputField';
+import OutputField from '../fields/OutputField';
+
+const InvocationNode = (props: NodeProps<InvocationNodeData>) => {
+  const { id: nodeId, data } = props;
+  const { type, inputs, outputs, isOpen } = data;
+
+  const templateSelector = useMemo(() => makeTemplateSelector(type), [type]);
+  const nodeTemplate = useAppSelector(templateSelector);
+  const inputFields = useMemo(
+    () => map(inputs).filter((i) => i.name !== 'is_intermediate'),
+    [inputs]
+  );
+  const outputFields = useMemo(() => map(outputs), [outputs]);
+
+  if (!nodeTemplate) {
+    return (
+      <NodeWrapper nodeProps={props}>
+        <Flex
+          layerStyle="nodeBody"
+          className="nopan"
+          sx={{
+            alignItems: 'center',
+            justifyContent: 'center',
+            cursor: 'auto',
+            w: 'full',
+            h: 'full',
+          }}
+        >
+          <Icon
+            as={FaExclamationCircle}
+            sx={{
+              boxSize: 32,
+              color: 'base.600',
+              _dark: { color: 'base.400' },
+            }}
+          ></Icon>
+        </Flex>
+      </NodeWrapper>
+    );
+  }
+
+  return (
+    <NodeWrapper nodeProps={props}>
+      <Flex
+        layerStyle="nodeHeader"
+        sx={{
+          borderTopRadius: 'base',
+          borderBottomRadius: isOpen ? 0 : 'base',
+          alignItems: 'center',
+          justifyContent: 'space-between',
+          h: 8,
+          textAlign: 'center',
+          fontWeight: 600,
+          color: 'base.700',
+          _dark: { color: 'base.200' },
+        }}
+      >
+        <NodeCollapseButton nodeProps={props} />
+        <NodeTitle nodeData={props.data} title={nodeTemplate.title} />
+        <Flex alignItems="center">
+          <NodeStatusIndicator nodeProps={props} />
+          <NodeNotesEdit nodeProps={props} nodeTemplate={nodeTemplate} />
+        </Flex>
+        {!isOpen && (
+          <NodeCollapsedHandles nodeProps={props} nodeTemplate={nodeTemplate} />
+        )}
+      </Flex>
+      {isOpen && (
+        <>
+          <Flex
+            layerStyle="nodeBody"
+            className={'nopan'}
+            sx={{
+              cursor: 'auto',
+              flexDirection: 'column',
+              w: 'full',
+              h: 'full',
+              py: 1,
+              gap: 1,
+            }}
+          >
+            <Flex
+              className="nopan"
+              sx={{ flexDir: 'column', px: 2, w: 'full', h: 'full' }}
+            >
+              {outputFields.map((field) => (
+                <OutputField
+                  key={`${nodeId}.${field.id}.input-field`}
+                  nodeProps={props}
+                  nodeTemplate={nodeTemplate}
+                  field={field}
+                />
+              ))}
+              {inputFields.map((field) => (
+                <InputField
+                  key={`${nodeId}.${field.id}.input-field`}
+                  nodeProps={props}
+                  nodeTemplate={nodeTemplate}
+                  field={field}
+                />
+              ))}
+            </Flex>
+          </Flex>
+          <NodeFooter nodeProps={props} nodeTemplate={nodeTemplate} />
+        </>
+      )}
+    </NodeWrapper>
+  );
+};
+
+export default memo(InvocationNode);
diff --git a/invokeai/frontend/web/src/features/nodes/components/nodes/NotesNode.tsx b/invokeai/frontend/web/src/features/nodes/components/nodes/NotesNode.tsx
new file mode 100644
index 0000000000..c3b035c6f3
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/nodes/NotesNode.tsx
@@ -0,0 +1,73 @@
+import { Box, Flex } from '@chakra-ui/react';
+import { useAppDispatch } from 'app/store/storeHooks';
+import IAITextarea from 'common/components/IAITextarea';
+import { notesNodeValueChanged } from 'features/nodes/store/nodesSlice';
+import { NotesNodeData } from 'features/nodes/types/types';
+import { ChangeEvent, memo, useCallback } from 'react';
+import { NodeProps } from 'reactflow';
+import NodeCollapseButton from '../Invocation/NodeCollapseButton';
+import NodeTitle from '../Invocation/NodeTitle';
+import NodeWrapper from '../Invocation/NodeWrapper';
+
+const NotesNode = (props: NodeProps<NotesNodeData>) => {
+  const { id: nodeId, data } = props;
+  const { notes, isOpen } = data;
+  const dispatch = useAppDispatch();
+  const handleChange = useCallback(
+    (e: ChangeEvent<HTMLTextAreaElement>) => {
+      dispatch(notesNodeValueChanged({ nodeId, value: e.target.value }));
+    },
+    [dispatch, nodeId]
+  );
+
+  return (
+    <NodeWrapper nodeProps={props}>
+      <Flex
+        layerStyle="nodeHeader"
+        sx={{
+          borderTopRadius: 'base',
+          borderBottomRadius: isOpen ? 0 : 'base',
+          alignItems: 'center',
+          justifyContent: 'space-between',
+          h: 8,
+        }}
+      >
+        <NodeCollapseButton nodeProps={props} />
+        <NodeTitle nodeData={props.data} title="Notes" />
+        <Box minW={8} />
+      </Flex>
+      {isOpen && (
+        <>
+          <Flex
+            layerStyle="nodeBody"
+            className={'nopan'}
+            sx={{
+              cursor: 'auto',
+              flexDirection: 'column',
+              borderBottomRadius: 'base',
+              w: 'full',
+              h: 'full',
+              p: 2,
+              gap: 1,
+            }}
+          >
+            <Flex
+              className="nopan"
+              sx={{ flexDir: 'column', w: 'full', h: 'full' }}
+            >
+              <IAITextarea
+                value={notes}
+                onChange={handleChange}
+                rows={8}
+                resize="none"
+                sx={{ fontSize: 'xs' }}
+              />
+            </Flex>
+          </Flex>
+        </>
+      )}
+    </NodeWrapper>
+  );
+};
+
+export default memo(NotesNode);
diff --git a/invokeai/frontend/web/src/features/nodes/components/panel/InspectorPanel.tsx b/invokeai/frontend/web/src/features/nodes/components/panel/InspectorPanel.tsx
new file mode 100644
index 0000000000..654b076eb8
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/panel/InspectorPanel.tsx
@@ -0,0 +1,101 @@
+import {
+  Flex,
+  Tab,
+  TabList,
+  TabPanel,
+  TabPanels,
+  Tabs,
+} from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { IAINoContentFallback } from 'common/components/IAIImageFallback';
+import ImageMetadataJSON from 'features/gallery/components/ImageMetadataViewer/ImageMetadataJSON';
+import { memo } from 'react';
+
+const selector = createSelector(
+  stateSelector,
+  ({ nodes }) => {
+    const lastSelectedNodeId =
+      nodes.selectedNodes[nodes.selectedNodes.length - 1];
+
+    const lastSelectedNode = nodes.nodes.find(
+      (node) => node.id === lastSelectedNodeId
+    );
+
+    const lastSelectedNodeTemplate = lastSelectedNode
+      ? nodes.nodeTemplates[lastSelectedNode.data.type]
+      : undefined;
+
+    return {
+      node: lastSelectedNode,
+      template: lastSelectedNodeTemplate,
+    };
+  },
+  defaultSelectorOptions
+);
+
+const InspectorPanel = () => {
+  const { node, template } = useAppSelector(selector);
+
+  return (
+    <Flex
+      layerStyle="first"
+      sx={{
+        w: 'full',
+        h: 'full',
+        borderRadius: 'base',
+        p: 4,
+      }}
+    >
+      <Tabs
+        variant="line"
+        sx={{ display: 'flex', flexDir: 'column', w: 'full', h: 'full' }}
+      >
+        <TabList>
+          <Tab>Node Template</Tab>
+          <Tab>Node Data</Tab>
+        </TabList>
+
+        <TabPanels>
+          <TabPanel>
+            {template ? (
+              <Flex
+                sx={{
+                  flexDir: 'column',
+                  alignItems: 'flex-start',
+                  gap: 2,
+                  h: 'full',
+                }}
+              >
+                <ImageMetadataJSON
+                  jsonObject={template}
+                  label="Node Template"
+                />
+              </Flex>
+            ) : (
+              <IAINoContentFallback
+                label={
+                  node
+                    ? 'No template found for selected node'
+                    : 'No node selected'
+                }
+                icon={null}
+              />
+            )}
+          </TabPanel>
+          <TabPanel>
+            {node ? (
+              <ImageMetadataJSON jsonObject={node.data} label="Node Data" />
+            ) : (
+              <IAINoContentFallback label="No node selected" icon={null} />
+            )}
+          </TabPanel>
+        </TabPanels>
+      </Tabs>
+    </Flex>
+  );
+};
+
+export default memo(InspectorPanel);
diff --git a/invokeai/frontend/web/src/features/nodes/components/panel/NodeDataInspector.tsx b/invokeai/frontend/web/src/features/nodes/components/panel/NodeDataInspector.tsx
new file mode 100644
index 0000000000..74b1620839
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/panel/NodeDataInspector.tsx
@@ -0,0 +1,36 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { IAINoContentFallback } from 'common/components/IAIImageFallback';
+import ImageMetadataJSON from 'features/gallery/components/ImageMetadataViewer/ImageMetadataJSON';
+import { memo } from 'react';
+
+const selector = createSelector(
+  stateSelector,
+  ({ nodes }) => {
+    const lastSelectedNodeId =
+      nodes.selectedNodes[nodes.selectedNodes.length - 1];
+
+    const lastSelectedNode = nodes.nodes.find(
+      (node) => node.id === lastSelectedNodeId
+    );
+
+    return {
+      node: lastSelectedNode,
+    };
+  },
+  defaultSelectorOptions
+);
+
+const NodeDataInspector = () => {
+  const { node } = useAppSelector(selector);
+
+  return node ? (
+    <ImageMetadataJSON jsonObject={node.data} label="Node Data" />
+  ) : (
+    <IAINoContentFallback label="No node data" icon={null} />
+  );
+};
+
+export default memo(NodeDataInspector);
diff --git a/invokeai/frontend/web/src/features/nodes/components/panel/NodeEditorPanelGroup.tsx b/invokeai/frontend/web/src/features/nodes/components/panel/NodeEditorPanelGroup.tsx
new file mode 100644
index 0000000000..269108e87a
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/panel/NodeEditorPanelGroup.tsx
@@ -0,0 +1,49 @@
+import InspectorPanel from 'features/nodes/components/panel/InspectorPanel';
+import ResizeHandle from 'features/ui/components/tabs/ResizeHandle';
+import { memo, useState } from 'react';
+import { Panel, PanelGroup } from 'react-resizable-panels';
+import 'reactflow/dist/style.css';
+import WorkflowPanel from './WorkflowPanel';
+
+const NodeEditorPanelGroup = () => {
+  const [isTopPanelCollapsed, setIsTopPanelCollapsed] = useState(false);
+  const [isBottomPanelCollapsed, setIsBottomPanelCollapsed] = useState(false);
+
+  return (
+    <PanelGroup
+      id="node-editor-panel_group"
+      autoSaveId="node-editor-panel_group"
+      direction="vertical"
+      style={{ height: '100%', width: '100%' }}
+    >
+      <Panel
+        id="node-editor-panel_group_workflow"
+        collapsible
+        onCollapse={setIsTopPanelCollapsed}
+        minSize={25}
+      >
+        <WorkflowPanel />
+      </Panel>
+      <ResizeHandle
+        direction="vertical"
+        collapsedDirection={
+          isTopPanelCollapsed
+            ? 'top'
+            : isBottomPanelCollapsed
+            ? 'bottom'
+            : undefined
+        }
+      />
+      <Panel
+        id="node-editor-panel_group_inspector"
+        collapsible
+        onCollapse={setIsBottomPanelCollapsed}
+        minSize={25}
+      >
+        <InspectorPanel />
+      </Panel>
+    </PanelGroup>
+  );
+};
+
+export default memo(NodeEditorPanelGroup);
diff --git a/invokeai/frontend/web/src/features/nodes/components/panel/ScrollableContent.tsx b/invokeai/frontend/web/src/features/nodes/components/panel/ScrollableContent.tsx
new file mode 100644
index 0000000000..3b8cf5d520
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/panel/ScrollableContent.tsx
@@ -0,0 +1,45 @@
+import { Box, Flex } from '@chakra-ui/react';
+import { OverlayScrollbarsComponent } from 'overlayscrollbars-react';
+import { PropsWithChildren } from 'react';
+
+const ScrollableContent = (props: PropsWithChildren) => {
+  return (
+    <Flex
+      sx={{
+        w: 'full',
+        h: 'full',
+        position: 'relative',
+      }}
+    >
+      <Box
+        sx={{
+          position: 'absolute',
+          top: 0,
+          left: 0,
+          right: 0,
+          bottom: 0,
+        }}
+      >
+        <OverlayScrollbarsComponent
+          defer
+          style={{ height: '100%', width: '100%' }}
+          options={{
+            scrollbars: {
+              visibility: 'auto',
+              autoHide: 'scroll',
+              autoHideDelay: 1300,
+              theme: 'os-theme-dark',
+            },
+            overflow: {
+              x: 'hidden',
+            },
+          }}
+        >
+          {props.children}
+        </OverlayScrollbarsComponent>
+      </Box>
+    </Flex>
+  );
+};
+
+export default ScrollableContent;
diff --git a/invokeai/frontend/web/src/features/nodes/components/panel/WorkflowPanel.tsx b/invokeai/frontend/web/src/features/nodes/components/panel/WorkflowPanel.tsx
new file mode 100644
index 0000000000..052cf15ad7
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/panel/WorkflowPanel.tsx
@@ -0,0 +1,52 @@
+import {
+  Flex,
+  Tab,
+  TabList,
+  TabPanel,
+  TabPanels,
+  Tabs,
+} from '@chakra-ui/react';
+import { memo } from 'react';
+import GeneralTab from './workflow/GeneralTab';
+import LinearTab from './workflow/LinearTab';
+import WorkflowTab from './workflow/WorkflowTab';
+
+const WorkflowPanel = () => {
+  return (
+    <Flex
+      layerStyle="first"
+      sx={{
+        flexDir: 'column',
+        w: 'full',
+        h: 'full',
+        borderRadius: 'base',
+        p: 4,
+      }}
+    >
+      <Tabs
+        variant="line"
+        sx={{ display: 'flex', flexDir: 'column', w: 'full', h: 'full' }}
+      >
+        <TabList>
+          <Tab>Linear</Tab>
+          <Tab>Details</Tab>
+          <Tab>JSON</Tab>
+        </TabList>
+
+        <TabPanels>
+          <TabPanel>
+            <LinearTab />
+          </TabPanel>
+          <TabPanel>
+            <GeneralTab />
+          </TabPanel>
+          <TabPanel>
+            <WorkflowTab />
+          </TabPanel>
+        </TabPanels>
+      </Tabs>
+    </Flex>
+  );
+};
+
+export default memo(WorkflowPanel);
diff --git a/invokeai/frontend/web/src/features/nodes/components/panel/workflow/GeneralTab.tsx b/invokeai/frontend/web/src/features/nodes/components/panel/workflow/GeneralTab.tsx
new file mode 100644
index 0000000000..8dab91c0d5
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/panel/workflow/GeneralTab.tsx
@@ -0,0 +1,142 @@
+import { Flex, FormControl, FormLabel } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAIInput from 'common/components/IAIInput';
+import IAITextarea from 'common/components/IAITextarea';
+import {
+  workflowAuthorChanged,
+  workflowContactChanged,
+  workflowDescriptionChanged,
+  workflowNameChanged,
+  workflowNotesChanged,
+  workflowTagsChanged,
+  workflowVersionChanged,
+} from 'features/nodes/store/nodesSlice';
+import { ChangeEvent, memo, useCallback } from 'react';
+import ScrollableContent from '../ScrollableContent';
+
+const selector = createSelector(
+  stateSelector,
+  ({ nodes }) => {
+    const { author, name, description, tags, version, contact, notes } =
+      nodes.workflow;
+
+    return {
+      name,
+      author,
+      description,
+      tags,
+      version,
+      contact,
+      notes,
+    };
+  },
+  defaultSelectorOptions
+);
+
+const WorkflowPanel = () => {
+  const { author, name, description, tags, version, contact, notes } =
+    useAppSelector(selector);
+  const dispatch = useAppDispatch();
+
+  const handleChangeName = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(workflowNameChanged(e.target.value));
+    },
+    [dispatch]
+  );
+  const handleChangeAuthor = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(workflowAuthorChanged(e.target.value));
+    },
+    [dispatch]
+  );
+  const handleChangeContact = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(workflowContactChanged(e.target.value));
+    },
+    [dispatch]
+  );
+  const handleChangeVersion = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(workflowVersionChanged(e.target.value));
+    },
+    [dispatch]
+  );
+  const handleChangeDescription = useCallback(
+    (e: ChangeEvent<HTMLTextAreaElement>) => {
+      dispatch(workflowDescriptionChanged(e.target.value));
+    },
+    [dispatch]
+  );
+  const handleChangeTags = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(workflowTagsChanged(e.target.value));
+    },
+    [dispatch]
+  );
+
+  const handleChangeNotes = useCallback(
+    (e: ChangeEvent<HTMLTextAreaElement>) => {
+      dispatch(workflowNotesChanged(e.target.value));
+    },
+    [dispatch]
+  );
+
+  return (
+    <ScrollableContent>
+      <Flex
+        sx={{
+          flexDir: 'column',
+          alignItems: 'flex-start',
+          gap: 2,
+          h: 'full',
+        }}
+      >
+        <Flex sx={{ gap: 2, w: 'full' }}>
+          <IAIInput label="Name" value={name} onChange={handleChangeName} />
+          <IAIInput
+            label="Version"
+            value={version}
+            onChange={handleChangeVersion}
+          />
+        </Flex>
+        <Flex sx={{ gap: 2, w: 'full' }}>
+          <IAIInput
+            label="Author"
+            value={author}
+            onChange={handleChangeAuthor}
+          />
+          <IAIInput
+            label="Contact"
+            value={contact}
+            onChange={handleChangeContact}
+          />
+        </Flex>
+        <IAIInput label="Tags" value={tags} onChange={handleChangeTags} />
+        <FormControl as={Flex} sx={{ flexDir: 'column' }}>
+          <FormLabel>Short Description</FormLabel>
+          <IAITextarea
+            onChange={handleChangeDescription}
+            value={description}
+            fontSize="sm"
+            sx={{ resize: 'none' }}
+          />
+        </FormControl>
+        <FormControl as={Flex} sx={{ flexDir: 'column', h: 'full' }}>
+          <FormLabel>Notes</FormLabel>
+          <IAITextarea
+            onChange={handleChangeNotes}
+            value={notes}
+            fontSize="sm"
+            sx={{ h: 'full', resize: 'none' }}
+          />
+        </FormControl>
+      </Flex>
+    </ScrollableContent>
+  );
+};
+
+export default memo(WorkflowPanel);
diff --git a/invokeai/frontend/web/src/features/nodes/components/panel/workflow/LinearTab.tsx b/invokeai/frontend/web/src/features/nodes/components/panel/workflow/LinearTab.tsx
new file mode 100644
index 0000000000..833fcc6839
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/panel/workflow/LinearTab.tsx
@@ -0,0 +1,114 @@
+import { Box, Flex } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAIDroppable from 'common/components/IAIDroppable';
+import { IAINoContentFallback } from 'common/components/IAIImageFallback';
+import { AddFieldToLinearViewDropData } from 'features/dnd/types';
+import {
+  InputFieldTemplate,
+  InputFieldValue,
+  InvocationNodeData,
+  InvocationTemplate,
+  isInvocationNode,
+} from 'features/nodes/types/types';
+import { forEach } from 'lodash-es';
+import { memo } from 'react';
+import LinearViewField from '../../fields/LinearViewField';
+import ScrollableContent from '../ScrollableContent';
+
+const selector = createSelector(
+  stateSelector,
+  ({ nodes }) => {
+    const fields: {
+      nodeData: InvocationNodeData;
+      nodeTemplate: InvocationTemplate;
+      field: InputFieldValue;
+      fieldTemplate: InputFieldTemplate;
+    }[] = [];
+    const { exposedFields } = nodes.workflow;
+    nodes.nodes.filter(isInvocationNode).forEach((node) => {
+      const nodeTemplate = nodes.nodeTemplates[node.data.type];
+      if (!nodeTemplate) {
+        return;
+      }
+      forEach(node.data.inputs, (field) => {
+        if (
+          !exposedFields.some(
+            (f) => f.nodeId === node.id && f.fieldName === field.name
+          )
+        ) {
+          return;
+        }
+        const fieldTemplate = nodeTemplate.inputs[field.name];
+        if (!fieldTemplate) {
+          return;
+        }
+        fields.push({
+          nodeData: node.data,
+          nodeTemplate,
+          field,
+          fieldTemplate,
+        });
+      });
+    });
+
+    return {
+      fields,
+    };
+  },
+  defaultSelectorOptions
+);
+
+const droppableData: AddFieldToLinearViewDropData = {
+  id: 'add-field-to-linear-view',
+  actionType: 'ADD_FIELD_TO_LINEAR',
+};
+
+const LinearTabContent = () => {
+  const { fields } = useAppSelector(selector);
+
+  return (
+    <Box
+      sx={{
+        position: 'relative',
+        w: 'full',
+        h: 'full',
+      }}
+    >
+      <ScrollableContent>
+        <Flex
+          sx={{
+            position: 'relative',
+            flexDir: 'column',
+            alignItems: 'flex-start',
+            gap: 2,
+            h: 'full',
+            w: 'full',
+          }}
+        >
+          {fields.length ? (
+            fields.map(({ nodeData, nodeTemplate, field, fieldTemplate }) => (
+              <LinearViewField
+                key={field.id}
+                nodeData={nodeData}
+                nodeTemplate={nodeTemplate}
+                field={field}
+                fieldTemplate={fieldTemplate}
+              />
+            ))
+          ) : (
+            <IAINoContentFallback
+              label="No fields added to Linear View"
+              icon={null}
+            />
+          )}
+        </Flex>
+      </ScrollableContent>
+      <IAIDroppable data={droppableData} dropLabel="Add Field to Linear View" />
+    </Box>
+  );
+};
+
+export default memo(LinearTabContent);
diff --git a/invokeai/frontend/web/src/features/nodes/components/panel/workflow/NotesTab.tsx b/invokeai/frontend/web/src/features/nodes/components/panel/workflow/NotesTab.tsx
new file mode 100644
index 0000000000..d8b19c1645
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/panel/workflow/NotesTab.tsx
@@ -0,0 +1,51 @@
+import { Box, Text } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAITextarea from 'common/components/IAITextarea';
+import { workflowNotesChanged } from 'features/nodes/store/nodesSlice';
+import { ChangeEvent, memo, useCallback } from 'react';
+
+const selector = createSelector(stateSelector, ({ nodes }) => {
+  const { notes } = nodes.workflow;
+
+  return {
+    notes,
+  };
+});
+
+const WorkflowPanel = () => {
+  const { notes } = useAppSelector(selector);
+  const dispatch = useAppDispatch();
+
+  const handleChangeNotes = useCallback(
+    (e: ChangeEvent<HTMLTextAreaElement>) => {
+      dispatch(workflowNotesChanged(e.target.value));
+    },
+    [dispatch]
+  );
+
+  return (
+    <Box sx={{ pos: 'relative', h: 'full' }}>
+      <IAITextarea
+        onChange={handleChangeNotes}
+        value={notes}
+        fontSize="sm"
+        sx={{ h: 'full', resize: 'none' }}
+      />
+      <Box sx={{ pos: 'absolute', bottom: 2, right: 2 }}>
+        <Text
+          sx={{
+            fontSize: 'xs',
+            opacity: 0.5,
+            userSelect: 'none',
+          }}
+        >
+          {notes.length}
+        </Text>
+      </Box>
+    </Box>
+  );
+};
+
+export default memo(WorkflowPanel);
diff --git a/invokeai/frontend/web/src/features/nodes/components/panel/workflow/WorkflowTab.tsx b/invokeai/frontend/web/src/features/nodes/components/panel/workflow/WorkflowTab.tsx
new file mode 100644
index 0000000000..c9400ab5f6
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/panel/workflow/WorkflowTab.tsx
@@ -0,0 +1,43 @@
+import { Flex } from '@chakra-ui/react';
+import { RootState } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import ImageMetadataJSON from 'features/gallery/components/ImageMetadataViewer/ImageMetadataJSON';
+import { buildWorkflow } from 'features/nodes/util/buildWorkflow';
+import { memo, useMemo } from 'react';
+import { useDebounce } from 'use-debounce';
+
+const useWatchWorkflow = () => {
+  const nodes = useAppSelector((state: RootState) => state.nodes);
+  const [debouncedNodes] = useDebounce(nodes, 300);
+  const workflow = useMemo(
+    () => buildWorkflow(debouncedNodes),
+    [debouncedNodes]
+  );
+
+  return {
+    workflow,
+  };
+};
+
+const WorkflowWorkflowTab = () => {
+  const { workflow } = useWatchWorkflow();
+
+  return (
+    <Flex
+      sx={{
+        flexDir: 'column',
+        alignItems: 'flex-start',
+        gap: 2,
+        h: 'full',
+      }}
+    >
+      <ImageMetadataJSON
+        jsonObject={workflow}
+        label="Workflow"
+        fileName={workflow.name}
+      />
+    </Flex>
+  );
+};
+
+export default memo(WorkflowWorkflowTab);
diff --git a/invokeai/frontend/web/src/features/nodes/components/search/NodeSearch.tsx b/invokeai/frontend/web/src/features/nodes/components/search/NodeSearch.tsx
index d4a4f8d31f..1b9dc38cb6 100644
--- a/invokeai/frontend/web/src/features/nodes/components/search/NodeSearch.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/search/NodeSearch.tsx
@@ -1,10 +1,9 @@
 import { Box, Flex } from '@chakra-ui/layout';
 import { Tooltip } from '@chakra-ui/tooltip';
 import { useAppToaster } from 'app/components/Toaster';
-import { RootState } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIInput from 'common/components/IAIInput';
-import { useBuildInvocation } from 'features/nodes/hooks/useBuildInvocation';
+import { useBuildNodeData } from 'features/nodes/hooks/useBuildNodeData';
 import { InvocationTemplate } from 'features/nodes/types/types';
 import Fuse from 'fuse.js';
 import { map } from 'lodash-es';
@@ -51,16 +50,15 @@ const NodeListItem = (props: NodeListItemProps) => {
 NodeListItem.displayName = 'NodeListItem';
 
 const NodeSearch = () => {
-  const invocationTemplates = useAppSelector(
-    (state: RootState) => state.nodes.invocationTemplates
+  const nodeTemplates = useAppSelector((state) =>
+    map(state.nodes.nodeTemplates)
   );
 
-  const nodes = map(invocationTemplates);
   const [filteredNodes, setFilteredNodes] = useState<
     Fuse.FuseResult<InvocationTemplate>[]
   >([]);
 
-  const buildInvocation = useBuildInvocation();
+  const buildInvocation = useBuildNodeData();
   const dispatch = useAppDispatch();
   const toaster = useAppToaster();
 
@@ -76,7 +74,7 @@ const NodeSearch = () => {
     keys: ['title', 'type', 'tags'],
   };
 
-  const fuse = new Fuse(nodes, fuseOptions);
+  const fuse = new Fuse(nodeTemplates, fuseOptions);
 
   const findNode = (e: ChangeEvent<HTMLInputElement>) => {
     setSearchText(e.target.value);
@@ -121,7 +119,7 @@ const NodeSearch = () => {
         }
       });
     } else {
-      nodes.forEach(({ title, description, type }, index) => {
+      nodeTemplates.forEach(({ title, description, type }, index) => {
         nodeListToRender.push(
           <NodeListItem
             key={index}
@@ -151,7 +149,7 @@ const NodeSearch = () => {
       if (searchText.length > 0) {
         nextIndex = (focusedIndex + 1) % filteredNodes.length;
       } else {
-        nextIndex = (focusedIndex + 1) % nodes.length;
+        nextIndex = (focusedIndex + 1) % nodeTemplates.length;
       }
     }
 
@@ -161,7 +159,8 @@ const NodeSearch = () => {
         nextIndex =
           (focusedIndex + filteredNodes.length - 1) % filteredNodes.length;
       } else {
-        nextIndex = (focusedIndex + nodes.length - 1) % nodes.length;
+        nextIndex =
+          (focusedIndex + nodeTemplates.length - 1) % nodeTemplates.length;
       }
     }
 
@@ -175,7 +174,7 @@ const NodeSearch = () => {
       if (searchText.length > 0) {
         selectedNodeType = filteredNodes[focusedIndex]?.item.type;
       } else {
-        selectedNodeType = nodes[focusedIndex]?.type;
+        selectedNodeType = nodeTemplates[focusedIndex]?.type;
       }
 
       if (selectedNodeType) {
diff --git a/invokeai/frontend/web/src/features/nodes/components/ui/LoadGraphButton.tsx b/invokeai/frontend/web/src/features/nodes/components/ui/LoadGraphButton.tsx
deleted file mode 100644
index 44d93bb8fe..0000000000
--- a/invokeai/frontend/web/src/features/nodes/components/ui/LoadGraphButton.tsx
+++ /dev/null
@@ -1,161 +0,0 @@
-import { FileButton } from '@mantine/core';
-import { useAppDispatch } from 'app/store/storeHooks';
-import IAIIconButton from 'common/components/IAIIconButton';
-import { loadFileEdges, loadFileNodes } from 'features/nodes/store/nodesSlice';
-import { addToast } from 'features/system/store/systemSlice';
-import { makeToast } from 'features/system/util/makeToast';
-import i18n from 'i18n';
-import { memo, useCallback, useRef } from 'react';
-import { useTranslation } from 'react-i18next';
-import { FaUpload } from 'react-icons/fa';
-import { useReactFlow } from 'reactflow';
-
-interface JsonFile {
-  [key: string]: unknown;
-}
-
-function sanityCheckInvokeAIGraph(jsonFile: JsonFile): {
-  isValid: boolean;
-  message: string;
-} {
-  // Check if primary keys exist
-  const keys = ['nodes', 'edges', 'viewport'];
-  for (const key of keys) {
-    if (!(key in jsonFile)) {
-      return {
-        isValid: false,
-        message: i18n.t('toast.nodesNotValidGraph'),
-      };
-    }
-  }
-
-  // Check if nodes and edges are arrays
-  if (!Array.isArray(jsonFile.nodes) || !Array.isArray(jsonFile.edges)) {
-    return {
-      isValid: false,
-      message: i18n.t('toast.nodesNotValidGraph'),
-    };
-  }
-
-  // Check if data is present in nodes
-  const nodeKeys = ['data', 'type'];
-  const nodeTypes = ['invocation', 'progress_image'];
-  if (jsonFile.nodes.length > 0) {
-    for (const node of jsonFile.nodes) {
-      for (const nodeKey of nodeKeys) {
-        if (!(nodeKey in node)) {
-          return {
-            isValid: false,
-            message: i18n.t('toast.nodesNotValidGraph'),
-          };
-        }
-        if (nodeKey === 'type' && !nodeTypes.includes(node[nodeKey])) {
-          return {
-            isValid: false,
-            message: i18n.t('toast.nodesUnrecognizedTypes'),
-          };
-        }
-      }
-    }
-  }
-
-  // Check Edge Object
-  const edgeKeys = ['source', 'sourceHandle', 'target', 'targetHandle'];
-  if (jsonFile.edges.length > 0) {
-    for (const edge of jsonFile.edges) {
-      for (const edgeKey of edgeKeys) {
-        if (!(edgeKey in edge)) {
-          return {
-            isValid: false,
-            message: i18n.t('toast.nodesBrokenConnections'),
-          };
-        }
-      }
-    }
-  }
-
-  return {
-    isValid: true,
-    message: i18n.t('toast.nodesLoaded'),
-  };
-}
-
-const LoadGraphButton = () => {
-  const { t } = useTranslation();
-  const dispatch = useAppDispatch();
-  const { fitView } = useReactFlow();
-
-  const uploadedFileRef = useRef<() => void>(null);
-
-  const restoreJSONToEditor = useCallback(
-    (v: File | null) => {
-      if (!v) return;
-      const reader = new FileReader();
-      reader.onload = async () => {
-        const json = reader.result;
-
-        try {
-          const retrievedNodeTree = await JSON.parse(String(json));
-          const { isValid, message } =
-            sanityCheckInvokeAIGraph(retrievedNodeTree);
-
-          if (isValid) {
-            dispatch(loadFileNodes(retrievedNodeTree.nodes));
-            dispatch(loadFileEdges(retrievedNodeTree.edges));
-            fitView();
-
-            dispatch(
-              addToast(makeToast({ title: message, status: 'success' }))
-            );
-          } else {
-            dispatch(
-              addToast(
-                makeToast({
-                  title: message,
-                  status: 'error',
-                })
-              )
-            );
-          }
-          // Cleanup
-          reader.abort();
-        } catch (error) {
-          if (error) {
-            dispatch(
-              addToast(
-                makeToast({
-                  title: t('toast.nodesNotValidJSON'),
-                  status: 'error',
-                })
-              )
-            );
-          }
-        }
-      };
-
-      reader.readAsText(v);
-
-      // Cleanup
-      uploadedFileRef.current?.();
-    },
-    [fitView, dispatch, t]
-  );
-  return (
-    <FileButton
-      resetRef={uploadedFileRef}
-      accept="application/json"
-      onChange={restoreJSONToEditor}
-    >
-      {(props) => (
-        <IAIIconButton
-          icon={<FaUpload />}
-          tooltip={t('nodes.loadGraph')}
-          aria-label={t('nodes.loadGraph')}
-          {...props}
-        />
-      )}
-    </FileButton>
-  );
-};
-
-export default memo(LoadGraphButton);
diff --git a/invokeai/frontend/web/src/features/nodes/components/ui/NodeInvokeButton.tsx b/invokeai/frontend/web/src/features/nodes/components/ui/NodeInvokeButton.tsx
index 740fecc2a4..b735bce0f7 100644
--- a/invokeai/frontend/web/src/features/nodes/components/ui/NodeInvokeButton.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/ui/NodeInvokeButton.tsx
@@ -5,7 +5,7 @@ import IAIButton, { IAIButtonProps } from 'common/components/IAIButton';
 import IAIIconButton, {
   IAIIconButtonProps,
 } from 'common/components/IAIIconButton';
-import { useIsReadyToInvoke } from 'common/hooks/useIsReadyToInvoke';
+import { selectIsReadyNodes } from 'features/nodes/store/selectors';
 import ProgressBar from 'features/system/components/ProgressBar';
 import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
 import { useCallback } from 'react';
@@ -22,7 +22,7 @@ export default function NodeInvokeButton(props: InvokeButton) {
   const { iconButton = false, ...rest } = props;
   const dispatch = useAppDispatch();
   const activeTabName = useAppSelector(activeTabNameSelector);
-  const isReady = useIsReadyToInvoke();
+  const isReady = useAppSelector(selectIsReadyNodes);
   const handleInvoke = useCallback(() => {
     dispatch(userInvoked('nodes'));
   }, [dispatch]);
@@ -71,12 +71,6 @@ export default function NodeInvokeButton(props: InvokeButton) {
             tooltipProps={{ placement: 'bottom' }}
             colorScheme="accent"
             id="invoke-button"
-            _disabled={{
-              background: 'none',
-              _hover: {
-                background: 'none',
-              },
-            }}
             {...rest}
           />
         ) : (
@@ -90,12 +84,6 @@ export default function NodeInvokeButton(props: InvokeButton) {
             colorScheme="accent"
             id="invoke-button"
             fontWeight={700}
-            _disabled={{
-              background: 'none',
-              _hover: {
-                background: 'none',
-              },
-            }}
             {...rest}
           >
             Invoke
diff --git a/invokeai/frontend/web/src/features/nodes/components/ui/SaveGraphButton.tsx b/invokeai/frontend/web/src/features/nodes/components/ui/SaveGraphButton.tsx
deleted file mode 100644
index 42e545258e..0000000000
--- a/invokeai/frontend/web/src/features/nodes/components/ui/SaveGraphButton.tsx
+++ /dev/null
@@ -1,48 +0,0 @@
-import { RootState } from 'app/store/store';
-import { useAppSelector } from 'app/store/storeHooks';
-import IAIIconButton from 'common/components/IAIIconButton';
-import { map, omit } from 'lodash-es';
-import { memo, useCallback } from 'react';
-import { useTranslation } from 'react-i18next';
-import { FaSave } from 'react-icons/fa';
-
-const SaveGraphButton = () => {
-  const { t } = useTranslation();
-  const editorInstance = useAppSelector(
-    (state: RootState) => state.nodes.editorInstance
-  );
-
-  const nodes = useAppSelector((state: RootState) => state.nodes.nodes);
-
-  const saveEditorToJSON = useCallback(() => {
-    if (editorInstance) {
-      const editorState = editorInstance.toObject();
-
-      editorState.edges = map(editorState.edges, (edge) => {
-        return omit(edge, ['style']);
-      });
-
-      const nodeSetupJSON = new Blob([JSON.stringify(editorState)]);
-      const nodeDownloadElement = document.createElement('a');
-      nodeDownloadElement.href = URL.createObjectURL(nodeSetupJSON);
-      nodeDownloadElement.download = 'MyNodes.json';
-      document.body.appendChild(nodeDownloadElement);
-      nodeDownloadElement.click();
-      // Cleanup
-      nodeDownloadElement.remove();
-    }
-  }, [editorInstance]);
-
-  return (
-    <IAIIconButton
-      icon={<FaSave />}
-      fontSize={18}
-      tooltip={t('nodes.saveGraph')}
-      aria-label={t('nodes.saveGraph')}
-      onClick={saveEditorToJSON}
-      isDisabled={nodes.length === 0}
-    />
-  );
-};
-
-export default memo(SaveGraphButton);
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useBuildInvocation.ts b/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts
similarity index 69%
rename from invokeai/frontend/web/src/features/nodes/hooks/useBuildInvocation.ts
rename to invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts
index 50a19d6b45..e38c20c05a 100644
--- a/invokeai/frontend/web/src/features/nodes/hooks/useBuildInvocation.ts
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts
@@ -7,42 +7,67 @@ import { Node, useReactFlow } from 'reactflow';
 import { AnyInvocationType } from 'services/events/types';
 import { v4 as uuidv4 } from 'uuid';
 import {
+  CurrentImageNodeData,
   InputFieldValue,
-  InvocationValue,
+  InvocationNodeData,
+  NotesNodeData,
   OutputFieldValue,
 } from '../types/types';
 import { buildInputFieldValue } from '../util/fieldValueBuilders';
+import { DRAG_HANDLE_CLASSNAME } from '../types/constants';
 
 const templatesSelector = createSelector(
   [(state: RootState) => state.nodes],
-  (nodes) => nodes.invocationTemplates
+  (nodes) => nodes.nodeTemplates
 );
 
-export const DRAG_HANDLE_CLASSNAME = 'node-drag-handle';
-
 export const SHARED_NODE_PROPERTIES: Partial<Node> = {
   dragHandle: `.${DRAG_HANDLE_CLASSNAME}`,
 };
 
-export const useBuildInvocation = () => {
+export const useBuildNodeData = () => {
   const invocationTemplates = useAppSelector(templatesSelector);
 
   const flow = useReactFlow();
 
   return useCallback(
-    (type: AnyInvocationType | 'progress_image') => {
-      if (type === 'progress_image') {
-        const { x, y } = flow.project({
-          x: window.innerWidth / 2.5,
-          y: window.innerHeight / 8,
-        });
+    (type: AnyInvocationType | 'current_image' | 'notes') => {
+      const nodeId = uuidv4();
 
-        const node: Node = {
+      const { x, y } = flow.project({
+        x: window.innerWidth / 2.5,
+        y: window.innerHeight / 8,
+      });
+      if (type === 'current_image') {
+        const node: Node<CurrentImageNodeData> = {
           ...SHARED_NODE_PROPERTIES,
-          id: 'progress_image',
-          type: 'progress_image',
+          id: nodeId,
+          type: 'current_image',
           position: { x: x, y: y },
-          data: {},
+          data: {
+            id: nodeId,
+            type: 'current_image',
+            isOpen: true,
+            label: 'Current Image',
+          },
+        };
+
+        return node;
+      }
+
+      if (type === 'notes') {
+        const node: Node<NotesNodeData> = {
+          ...SHARED_NODE_PROPERTIES,
+          id: nodeId,
+          type: 'notes',
+          position: { x: x, y: y },
+          data: {
+            id: nodeId,
+            isOpen: true,
+            label: 'Notes',
+            notes: '',
+            type: 'notes',
+          },
         };
 
         return node;
@@ -55,8 +80,6 @@ export const useBuildInvocation = () => {
         return;
       }
 
-      const nodeId = uuidv4();
-
       const inputs = reduce(
         template.inputs,
         (inputsAccumulator, inputTemplate, inputName) => {
@@ -83,6 +106,7 @@ export const useBuildInvocation = () => {
             id: fieldId,
             name: outputName,
             type: outputTemplate.type,
+            fieldKind: 'output',
           };
 
           outputsAccumulator[outputName] = outputFieldValue;
@@ -92,12 +116,7 @@ export const useBuildInvocation = () => {
         {} as Record<string, OutputFieldValue>
       );
 
-      const { x, y } = flow.project({
-        x: window.innerWidth / 2.5,
-        y: window.innerHeight / 8,
-      });
-
-      const invocation: Node<InvocationValue> = {
+      const invocation: Node<InvocationNodeData> = {
         ...SHARED_NODE_PROPERTIES,
         id: nodeId,
         type: 'invocation',
@@ -107,6 +126,9 @@ export const useBuildInvocation = () => {
           type,
           inputs,
           outputs,
+          isOpen: true,
+          label: '',
+          notes: '',
         },
       };
 
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useConnectionState.ts b/invokeai/frontend/web/src/features/nodes/hooks/useConnectionState.ts
new file mode 100644
index 0000000000..625736a933
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useConnectionState.ts
@@ -0,0 +1,92 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { makeConnectionErrorSelector } from 'features/nodes/store/util/makeIsConnectionValidSelector';
+import { InputFieldValue, OutputFieldValue } from 'features/nodes/types/types';
+import { useMemo } from 'react';
+
+const selectIsConnectionInProgress = createSelector(
+  stateSelector,
+  ({ nodes }) =>
+    nodes.currentConnectionFieldType !== null &&
+    nodes.connectionStartParams !== null
+);
+
+export type UseConnectionStateProps =
+  | {
+      nodeId: string;
+      field: InputFieldValue;
+      kind: 'input';
+    }
+  | {
+      nodeId: string;
+      field: OutputFieldValue;
+      kind: 'output';
+    };
+
+export const useConnectionState = ({
+  nodeId,
+  field,
+  kind,
+}: UseConnectionStateProps) => {
+  const selectIsConnected = useMemo(
+    () =>
+      createSelector(stateSelector, ({ nodes }) =>
+        Boolean(
+          nodes.edges.filter((edge) => {
+            return (
+              (kind === 'input' ? edge.target : edge.source) === nodeId &&
+              (kind === 'input' ? edge.targetHandle : edge.sourceHandle) ===
+                field.name
+            );
+          }).length
+        )
+      ),
+    [field.name, kind, nodeId]
+  );
+
+  const selectConnectionError = useMemo(
+    () =>
+      makeConnectionErrorSelector(
+        nodeId,
+        field.name,
+        kind === 'input' ? 'target' : 'source',
+        field.type
+      ),
+    [nodeId, field.name, field.type, kind]
+  );
+
+  const selectIsConnectionStartField = useMemo(
+    () =>
+      createSelector(stateSelector, ({ nodes }) =>
+        Boolean(
+          nodes.connectionStartParams?.nodeId === nodeId &&
+            nodes.connectionStartParams?.handleId === field.name &&
+            nodes.connectionStartParams?.handleType ===
+              { input: 'target', output: 'source' }[kind]
+        )
+      ),
+    [field.name, kind, nodeId]
+  );
+
+  const isConnected = useAppSelector(selectIsConnected);
+  const isConnectionInProgress = useAppSelector(selectIsConnectionInProgress);
+  const isConnectionStartField = useAppSelector(selectIsConnectionStartField);
+  const connectionError = useAppSelector(selectConnectionError);
+
+  const shouldDim = useMemo(
+    () =>
+      Boolean(
+        isConnectionInProgress && connectionError && !isConnectionStartField
+      ),
+    [connectionError, isConnectionInProgress, isConnectionStartField]
+  );
+
+  return {
+    isConnected,
+    isConnectionInProgress,
+    isConnectionStartField,
+    connectionError,
+    shouldDim,
+  };
+};
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useIsValidConnection.ts b/invokeai/frontend/web/src/features/nodes/hooks/useIsValidConnection.ts
index e5bfa0a627..3a63d75bb0 100644
--- a/invokeai/frontend/web/src/features/nodes/hooks/useIsValidConnection.ts
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useIsValidConnection.ts
@@ -1,94 +1,102 @@
 // TODO: enable this at some point
-// import graphlib from '@dagrejs/graphlib';
-// import { useCallback } from 'react';
-// import { Connection, Node, useReactFlow } from 'reactflow';
-// import { InvocationValue } from '../types/types';
+import graphlib from '@dagrejs/graphlib';
+import { useAppSelector } from 'app/store/storeHooks';
+import { useCallback } from 'react';
+import { Connection, Edge, Node, useReactFlow } from 'reactflow';
+import { COLLECTION_TYPES } from '../types/constants';
+import { InvocationNodeData } from '../types/types';
 
-// export const useIsValidConnection = () => {
-//   const flow = useReactFlow();
+export const useIsValidConnection = () => {
+  const flow = useReactFlow();
+  const shouldValidateGraph = useAppSelector(
+    (state) => state.nodes.shouldValidateGraph
+  );
+  const isValidConnection = useCallback(
+    ({ source, sourceHandle, target, targetHandle }: Connection): boolean => {
+      if (!shouldValidateGraph) {
+        // manual override!
+        return true;
+      }
 
-//   // Check if an in-progress connection is valid
-//   const isValidConnection = useCallback(
-//     ({ source, sourceHandle, target, targetHandle }: Connection): boolean => {
-//       const edges = flow.getEdges();
-//       const nodes = flow.getNodes();
+      const edges = flow.getEdges();
+      const nodes = flow.getNodes();
+      // Connection must have valid targets
+      if (!(source && sourceHandle && target && targetHandle)) {
+        return false;
+      }
 
-//       // Connection must have valid targets
-//       if (!(source && sourceHandle && target && targetHandle)) {
-//         return false;
-//       }
+      // Find the source and target nodes
+      const sourceNode = flow.getNode(source) as Node<InvocationNodeData>;
+      const targetNode = flow.getNode(target) as Node<InvocationNodeData>;
 
-//       // Connection is invalid if target already has a connection
-//       if (
-//         edges.find((edge) => {
-//           return edge.target === target && edge.targetHandle === targetHandle;
-//         })
-//       ) {
-//         return false;
-//       }
+      // Conditional guards against undefined nodes/handles
+      if (!(sourceNode && targetNode && sourceNode.data && targetNode.data)) {
+        return false;
+      }
 
-//       // Find the source and target nodes
-//       const sourceNode = flow.getNode(source) as Node<InvocationValue>;
+      const sourceType = sourceNode.data.outputs[sourceHandle]?.type;
+      const targetType = targetNode.data.inputs[targetHandle]?.type;
 
-//       const targetNode = flow.getNode(target) as Node<InvocationValue>;
+      if (!sourceType || !targetType) {
+        // something has gone terribly awry
+        return false;
+      }
 
-//       // Conditional guards against undefined nodes/handles
-//       if (!(sourceNode && targetNode && sourceNode.data && targetNode.data)) {
-//         return false;
-//       }
+      // Connection is invalid if target already has a connection
+      if (
+        edges.find((edge) => {
+          return edge.target === target && edge.targetHandle === targetHandle;
+        }) &&
+        // except CollectionItem inputs can have multiples
+        targetType !== 'CollectionItem'
+      ) {
+        return false;
+      }
 
-//       // Connection types must be the same for a connection
-//       if (
-//         sourceNode.data.outputs[sourceHandle].type !==
-//         targetNode.data.inputs[targetHandle].type
-//       ) {
-//         return false;
-//       }
+      // Connection types must be the same for a connection
+      if (
+        sourceType !== targetType &&
+        sourceType !== 'CollectionItem' &&
+        targetType !== 'CollectionItem'
+      ) {
+        if (
+          !(
+            COLLECTION_TYPES.includes(targetType) &&
+            COLLECTION_TYPES.includes(sourceType)
+          )
+        ) {
+          return false;
+        }
+      }
+      // Graphs much be acyclic (no loops!)
+      return getIsGraphAcyclic(source, target, nodes, edges);
+    },
+    [flow, shouldValidateGraph]
+  );
 
-//       // Graphs much be acyclic (no loops!)
+  return isValidConnection;
+};
 
-//       /**
-//        * TODO: use `graphlib.alg.findCycles()` to identify strong connections
-//        *
-//        * this validation func only runs when the cursor hits the second handle of the connection,
-//        * and only on that second handle - so it cannot tell us exhaustively which connections
-//        * are valid.
-//        *
-//        * ideally, we check when the connection starts to calculate all invalid handles at once.
-//        *
-//        * requires making a new graphlib graph - and calling `findCycles()` - for each potential
-//        * handle. instead of using the `isValidConnection` prop, it would use the `onConnectStart`
-//        * prop.
-//        *
-//        * the strong connections should be stored in global state.
-//        *
-//        * then, `isValidConnection` would simple loop through the strong connections and if the
-//        * source and target are in a single strong connection, return false.
-//        *
-//        * and also, we can use this knowledge to style every handle when a connection starts,
-//        * which is otherwise not possible.
-//        */
+export const getIsGraphAcyclic = (
+  source: string,
+  target: string,
+  nodes: Node[],
+  edges: Edge[]
+) => {
+  // construct graphlib graph from editor state
+  const g = new graphlib.Graph();
 
-//       // build a graphlib graph
-//       const g = new graphlib.Graph();
+  nodes.forEach((n) => {
+    g.setNode(n.id);
+  });
 
-//       nodes.forEach((n) => {
-//         g.setNode(n.id);
-//       });
+  edges.forEach((e) => {
+    g.setEdge(e.source, e.target);
+  });
 
-//       edges.forEach((e) => {
-//         g.setEdge(e.source, e.target);
-//       });
+  // add the candidate edge
+  g.setEdge(source, target);
 
-//       // Add the candidate edge to the graph
-//       g.setEdge(source, target);
-
-//       return graphlib.alg.isAcyclic(g);
-//     },
-//     [flow]
-//   );
-
-//   return isValidConnection;
-// };
-
-export const useIsValidConnection = () => () => true;
+  // check if the graph is acyclic
+  return graphlib.alg.isAcyclic(g);
+};
diff --git a/invokeai/frontend/web/src/features/nodes/store/nodesPersistDenylist.ts b/invokeai/frontend/web/src/features/nodes/store/nodesPersistDenylist.ts
index 5cbc3c381d..60344abf37 100644
--- a/invokeai/frontend/web/src/features/nodes/store/nodesPersistDenylist.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/nodesPersistDenylist.ts
@@ -5,5 +5,9 @@ import { NodesState } from './types';
  */
 export const nodesPersistDenylist: (keyof NodesState)[] = [
   'schema',
-  'invocationTemplates',
+  'nodeTemplates',
+  'connectionStartParams',
+  'currentConnectionFieldType',
+  'selectedNodes',
+  'selectedEdges',
 ];
diff --git a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
index 2e41081e95..8878d24370 100644
--- a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
@@ -1,12 +1,5 @@
 import { createSlice, PayloadAction } from '@reduxjs/toolkit';
-import {
-  ControlNetModelParam,
-  LoRAModelParam,
-  MainModelParam,
-  VaeModelParam,
-} from 'features/parameters/types/parameterSchemas';
-import { cloneDeep, uniqBy } from 'lodash-es';
-import { RgbaColor } from 'react-colorful';
+import { cloneDeep, forEach, isEqual, uniqBy } from 'lodash-es';
 import {
   addEdge,
   applyEdgeChanges,
@@ -14,26 +7,103 @@ import {
   Connection,
   Edge,
   EdgeChange,
+  EdgeRemoveChange,
+  getConnectedEdges,
+  getIncomers,
+  getOutgoers,
   Node,
   NodeChange,
   OnConnectStartParams,
 } from 'reactflow';
 import { receivedOpenAPISchema } from 'services/api/thunks/schema';
+import { sessionInvoked } from 'services/api/thunks/session';
 import { ImageField } from 'services/api/types';
-import { InvocationTemplate, InvocationValue } from '../types/types';
+import {
+  appSocketGeneratorProgress,
+  appSocketInvocationComplete,
+  appSocketInvocationError,
+  appSocketInvocationStarted,
+} from 'services/events/actions';
+import { DRAG_HANDLE_CLASSNAME } from '../types/constants';
+import {
+  BooleanInputFieldValue,
+  ColorInputFieldValue,
+  ControlNetModelInputFieldValue,
+  CurrentImageNodeData,
+  EnumInputFieldValue,
+  FieldIdentifier,
+  FloatInputFieldValue,
+  ImageInputFieldValue,
+  InputFieldValue,
+  IntegerInputFieldValue,
+  InvocationNodeData,
+  InvocationTemplate,
+  isInvocationNode,
+  isNotesNode,
+  LoRAModelInputFieldValue,
+  MainModelInputFieldValue,
+  NodeStatus,
+  NotesNodeData,
+  SDXLRefinerModelInputFieldValue,
+  StringInputFieldValue,
+  VaeModelInputFieldValue,
+  Workflow,
+} from '../types/types';
 import { NodesState } from './types';
 
 export const initialNodesState: NodesState = {
   nodes: [],
   edges: [],
   schema: null,
-  invocationTemplates: {},
+  nodeTemplates: {},
   connectionStartParams: null,
-  shouldShowGraphOverlay: false,
+  currentConnectionFieldType: null,
   shouldShowFieldTypeLegend: false,
   shouldShowMinimapPanel: true,
-  editorInstance: undefined,
-  progressNodeSize: { width: 512, height: 512 },
+  shouldValidateGraph: true,
+  shouldAnimateEdges: true,
+  shouldSnapToGrid: true,
+  shouldColorEdges: true,
+  nodeOpacity: 1,
+  selectedNodes: [],
+  selectedEdges: [],
+  workflow: {
+    name: '',
+    author: '',
+    description: '',
+    notes: '',
+    tags: '',
+    contact: '',
+    version: '',
+    exposedFields: [],
+  },
+  nodeExecutionStates: {},
+  zoom: 1,
+};
+
+type FieldValueAction<T extends InputFieldValue> = PayloadAction<{
+  nodeId: string;
+  fieldName: string;
+  value: T['value'];
+}>;
+
+const fieldValueReducer = <T extends InputFieldValue>(
+  state: NodesState,
+  action: FieldValueAction<T>
+) => {
+  const { nodeId, fieldName, value } = action.payload;
+  const nodeIndex = state.nodes.findIndex((n) => n.id === nodeId);
+  const node = state.nodes?.[nodeIndex];
+  if (!isInvocationNode(node)) {
+    return;
+  }
+  const input = node.data?.inputs[fieldName];
+  if (!input) {
+    return;
+  }
+  if (nodeIndex > -1) {
+    input.value = value;
+  }
 };
 
 const nodesSlice = createSlice({
@@ -43,49 +113,336 @@ const nodesSlice = createSlice({
     nodesChanged: (state, action: PayloadAction<NodeChange[]>) => {
       state.nodes = applyNodeChanges(action.payload, state.nodes);
     },
-    nodeAdded: (state, action: PayloadAction<Node<InvocationValue>>) => {
-      state.nodes.push(action.payload);
+    nodeAdded: (
+      state,
+      action: PayloadAction<
+        Node<InvocationNodeData | CurrentImageNodeData | NotesNodeData>
+      >
+    ) => {
+      const node = action.payload;
+      state.nodes.push(node);
+
+      if (!isInvocationNode(node)) {
+        return;
+      }
+
+      state.nodeExecutionStates[node.id] = {
+        status: NodeStatus.PENDING,
+        error: null,
+        progress: null,
+        progressImage: null,
+      };
     },
     edgesChanged: (state, action: PayloadAction<EdgeChange[]>) => {
       state.edges = applyEdgeChanges(action.payload, state.edges);
     },
     connectionStarted: (state, action: PayloadAction<OnConnectStartParams>) => {
       state.connectionStartParams = action.payload;
+      const { nodeId, handleId, handleType } = action.payload;
+      if (!nodeId || !handleId) {
+        return;
+      }
+      const nodeIndex = state.nodes.findIndex((n) => n.id === nodeId);
+      const node = state.nodes?.[nodeIndex];
+      if (!isInvocationNode(node)) {
+        return;
+      }
+      const field =
+        handleType === 'source'
+          ? node.data.outputs[handleId]
+          : node.data.inputs[handleId];
+      state.currentConnectionFieldType = field?.type ?? null;
     },
     connectionMade: (state, action: PayloadAction<Connection>) => {
-      state.edges = addEdge(action.payload, state.edges);
+      const fieldType = state.currentConnectionFieldType;
+      if (!fieldType) {
+        return;
+      }
+      state.edges = addEdge(
+        { ...action.payload, type: 'default' },
+        state.edges
+      );
     },
     connectionEnded: (state) => {
       state.connectionStartParams = null;
+      state.currentConnectionFieldType = null;
     },
-    fieldValueChanged: (
+    workflowExposedFieldAdded: (
+      state,
+      action: PayloadAction<FieldIdentifier>
+    ) => {
+      state.workflow.exposedFields = uniqBy(
+        state.workflow.exposedFields.concat(action.payload),
+        (field) => `${field.nodeId}-${field.fieldName}`
+      );
+    },
+    workflowExposedFieldRemoved: (
+      state,
+      action: PayloadAction<FieldIdentifier>
+    ) => {
+      state.workflow.exposedFields = state.workflow.exposedFields.filter(
+        (field) => !isEqual(field, action.payload)
+      );
+    },
+    fieldLabelChanged: (
       state,
       action: PayloadAction<{
         nodeId: string;
         fieldName: string;
-        value:
-          | string
-          | number
-          | boolean
-          | ImageField
-          | RgbaColor
-          | undefined
-          | ImageField[]
-          | MainModelParam
-          | VaeModelParam
-          | LoRAModelParam
-          | ControlNetModelParam;
+        label: string;
       }>
     ) => {
-      const { nodeId, fieldName, value } = action.payload;
-      const nodeIndex = state.nodes.findIndex((n) => n.id === nodeId);
-      const input = state.nodes?.[nodeIndex]?.data?.inputs[fieldName];
-      if (!input) {
+      const { nodeId, fieldName, label } = action.payload;
+      const node = state.nodes.find((n) => n.id === nodeId);
+      if (!isInvocationNode(node)) {
         return;
       }
-      if (nodeIndex > -1) {
-        input.value = value;
+      const field = node.data.inputs[fieldName];
+      if (!field) {
+        return;
       }
+      field.label = label;
+    },
+    nodeIsOpenChanged: (
+      state,
+      action: PayloadAction<{ nodeId: string; isOpen: boolean }>
+    ) => {
+      const { nodeId, isOpen } = action.payload;
+      const nodeIndex = state.nodes.findIndex((n) => n.id === nodeId);
+
+      const node = state.nodes?.[nodeIndex];
+      if (!isInvocationNode(node) && !isNotesNode(node)) {
+        return;
+      }
+
+      node.data.isOpen = isOpen;
+
+      if (!isInvocationNode(node)) {
+        return;
+      }
+
+      // edges between two closed nodes should not be visible:
+      // - if the node was just opened, we need to make all its edges visible
+      // - if the edge was just closed, we need to check all its edges and hide them if both nodes are closed
+
+      const connectedEdges = getConnectedEdges([node], state.edges);
+
+      if (isOpen) {
+        // reset hidden status of all edges
+        connectedEdges.forEach((edge) => {
+          delete edge.hidden;
+        });
+        // delete dummy edges
+        connectedEdges.forEach((edge) => {
+          if (edge.type === 'collapsed') {
+            state.edges = state.edges.filter((e) => e.id !== edge.id);
+          }
+        });
+      } else {
+        const closedIncomers = getIncomers(
+          node,
+          state.nodes,
+          state.edges
+        ).filter(
+          (node) => isInvocationNode(node) && node.data.isOpen === false
+        );
+
+        const closedOutgoers = getOutgoers(
+          node,
+          state.nodes,
+          state.edges
+        ).filter(
+          (node) => isInvocationNode(node) && node.data.isOpen === false
+        );
+
+        const collapsedEdgesToCreate: Edge<{ count: number }>[] = [];
+
+        // hide all edges
+        connectedEdges.forEach((edge) => {
+          if (
+            edge.target === nodeId &&
+            closedIncomers.find((node) => node.id === edge.source)
+          ) {
+            edge.hidden = true;
+            const collapsedEdge = collapsedEdgesToCreate.find(
+              (e) => e.source === edge.source && e.target === edge.target
+            );
+            if (collapsedEdge) {
+              collapsedEdge.data = {
+                count: (collapsedEdge.data?.count ?? 0) + 1,
+              };
+            } else {
+              collapsedEdgesToCreate.push({
+                id: `${edge.source}-${edge.target}-collapsed`,
+                source: edge.source,
+                target: edge.target,
+                type: 'collapsed',
+                data: { count: 1 },
+              });
+            }
+          }
+          if (
+            edge.source === nodeId &&
+            closedOutgoers.find((node) => node.id === edge.target)
+          ) {
+            const collapsedEdge = collapsedEdgesToCreate.find(
+              (e) => e.source === edge.source && e.target === edge.target
+            );
+            edge.hidden = true;
+            if (collapsedEdge) {
+              collapsedEdge.data = {
+                count: (collapsedEdge.data?.count ?? 0) + 1,
+              };
+            } else {
+              collapsedEdgesToCreate.push({
+                id: `${edge.source}-${edge.target}-collapsed`,
+                source: edge.source,
+                target: edge.target,
+                type: 'collapsed',
+                data: { count: 1 },
+              });
+            }
+          }
+        });
+        if (collapsedEdgesToCreate.length) {
+          state.edges = applyEdgeChanges(
+            collapsedEdgesToCreate.map((edge) => ({ type: 'add', item: edge })),
+            state.edges
+          );
+        }
+      }
+    },
+    edgesDeleted: (state, action: PayloadAction<Edge[]>) => {
+      const edges = action.payload;
+      const collapsedEdges = edges.filter((e) => e.type === 'collapsed');
+
+      // if we delete a collapsed edge, we need to delete all collapsed edges between the same nodes
+      if (collapsedEdges.length) {
+        const edgeChanges: EdgeRemoveChange[] = [];
+        collapsedEdges.forEach((collapsedEdge) => {
+          state.edges.forEach((edge) => {
+            if (
+              edge.source === collapsedEdge.source &&
+              edge.target === collapsedEdge.target
+            ) {
+              edgeChanges.push({ id: edge.id, type: 'remove' });
+            }
+          });
+        });
+        state.edges = applyEdgeChanges(edgeChanges, state.edges);
+      }
+    },
+    nodesDeleted: (
+      state,
+      action: PayloadAction<
+        Node<InvocationNodeData | NotesNodeData | CurrentImageNodeData>[]
+      >
+    ) => {
+      action.payload.forEach((node) => {
+        state.workflow.exposedFields = state.workflow.exposedFields.filter(
+          (f) => f.nodeId !== node.id
+        );
+        if (!isInvocationNode(node)) {
+          return;
+        }
+        delete state.nodeExecutionStates[node.id];
+      });
+    },
+    nodeLabelChanged: (
+      state,
+      action: PayloadAction<{ nodeId: string; label: string }>
+    ) => {
+      const { nodeId, label } = action.payload;
+      const nodeIndex = state.nodes.findIndex((n) => n.id === nodeId);
+      const node = state.nodes?.[nodeIndex];
+      if (!isInvocationNode(node)) {
+        return;
+      }
+      node.data.label = label;
+    },
+    nodeNotesChanged: (
+      state,
+      action: PayloadAction<{ nodeId: string; notes: string }>
+    ) => {
+      const { nodeId, notes } = action.payload;
+      const nodeIndex = state.nodes.findIndex((n) => n.id === nodeId);
+      const node = state.nodes?.[nodeIndex];
+      if (!isInvocationNode(node)) {
+        return;
+      }
+      node.data.notes = notes;
+    },
+    selectedNodesChanged: (state, action: PayloadAction<string[]>) => {
+      state.selectedNodes = action.payload;
+    },
+    selectedEdgesChanged: (state, action: PayloadAction<string[]>) => {
+      state.selectedEdges = action.payload;
+    },
+    fieldStringValueChanged: (
+      state,
+      action: FieldValueAction<StringInputFieldValue>
+    ) => {
+      fieldValueReducer(state, action);
+    },
+    fieldNumberValueChanged: (
+      state,
+      action: FieldValueAction<IntegerInputFieldValue | FloatInputFieldValue>
+    ) => {
+      fieldValueReducer(state, action);
+    },
+    fieldBooleanValueChanged: (
+      state,
+      action: FieldValueAction<BooleanInputFieldValue>
+    ) => {
+      fieldValueReducer(state, action);
+    },
+    fieldImageValueChanged: (
+      state,
+      action: FieldValueAction<ImageInputFieldValue>
+    ) => {
+      fieldValueReducer(state, action);
+    },
+    fieldColorValueChanged: (
+      state,
+      action: FieldValueAction<ColorInputFieldValue>
+    ) => {
+      fieldValueReducer(state, action);
+    },
+    fieldMainModelValueChanged: (
+      state,
+      action: FieldValueAction<MainModelInputFieldValue>
+    ) => {
+      fieldValueReducer(state, action);
+    },
+    fieldRefinerModelValueChanged: (
+      state,
+      action: FieldValueAction<SDXLRefinerModelInputFieldValue>
+    ) => {
+      fieldValueReducer(state, action);
+    },
+    fieldVaeModelValueChanged: (
+      state,
+      action: FieldValueAction<VaeModelInputFieldValue>
+    ) => {
+      fieldValueReducer(state, action);
+    },
+    fieldLoRAModelValueChanged: (
+      state,
+      action: FieldValueAction<LoRAModelInputFieldValue>
+    ) => {
+      fieldValueReducer(state, action);
+    },
+    fieldControlNetModelValueChanged: (
+      state,
+      action: FieldValueAction<ControlNetModelInputFieldValue>
+    ) => {
+      fieldValueReducer(state, action);
+    },
+    fieldEnumModelValueChanged: (
+      state,
+      action: FieldValueAction<EnumInputFieldValue>
+    ) => {
+      fieldValueReducer(state, action);
     },
     imageCollectionFieldValueChanged: (
       state,
@@ -102,7 +459,13 @@ const nodesSlice = createSlice({
         return;
       }
 
-      const input = state.nodes?.[nodeIndex]?.data?.inputs[fieldName];
+      const node = state.nodes?.[nodeIndex];
+
+      if (!isInvocationNode(node)) {
+        return;
+      }
+
+      const input = node.data?.inputs[fieldName];
       if (!input) {
         return;
       }
@@ -119,8 +482,30 @@ const nodesSlice = createSlice({
         'image_name'
       );
     },
-    shouldShowGraphOverlayChanged: (state, action: PayloadAction<boolean>) => {
-      state.shouldShowGraphOverlay = action.payload;
+    nodeClicked: (
+      state,
+      action: PayloadAction<{ nodeId: string; ctrlOrMeta?: boolean }>
+    ) => {
+      const { nodeId, ctrlOrMeta } = action.payload;
+      state.nodes.forEach((node) => {
+        if (node.id === nodeId) {
+          node.selected = true;
+        } else if (!ctrlOrMeta) {
+          node.selected = false;
+        }
+      });
+    },
+    notesNodeValueChanged: (
+      state,
+      action: PayloadAction<{ nodeId: string; value: string }>
+    ) => {
+      const { nodeId, value } = action.payload;
+      const nodeIndex = state.nodes.findIndex((n) => n.id === nodeId);
+      const node = state.nodes?.[nodeIndex];
+      if (!isNotesNode(node)) {
+        return;
+      }
+      node.data.notes = value;
     },
     shouldShowFieldTypeLegendChanged: (
       state,
@@ -135,32 +520,126 @@ const nodesSlice = createSlice({
       state,
       action: PayloadAction<Record<string, InvocationTemplate>>
     ) => {
-      state.invocationTemplates = action.payload;
+      state.nodeTemplates = action.payload;
     },
     nodeEditorReset: (state) => {
       state.nodes = [];
       state.edges = [];
     },
-    setEditorInstance: (state, action) => {
-      state.editorInstance = action.payload;
+    shouldValidateGraphChanged: (state, action: PayloadAction<boolean>) => {
+      state.shouldValidateGraph = action.payload;
     },
-    loadFileNodes: (state, action: PayloadAction<Node<InvocationValue>[]>) => {
+    shouldAnimateEdgesChanged: (state, action: PayloadAction<boolean>) => {
+      state.shouldAnimateEdges = action.payload;
+    },
+    shouldSnapToGridChanged: (state, action: PayloadAction<boolean>) => {
+      state.shouldSnapToGrid = action.payload;
+    },
+    shouldColorEdgesChanged: (state, action: PayloadAction<boolean>) => {
+      state.shouldColorEdges = action.payload;
+    },
+    nodeOpacityChanged: (state, action: PayloadAction<number>) => {
+      state.nodeOpacity = action.payload;
+    },
+    loadFileNodes: (
+      state,
+      action: PayloadAction<Node<InvocationNodeData>[]>
+    ) => {
       state.nodes = action.payload;
     },
     loadFileEdges: (state, action: PayloadAction<Edge[]>) => {
       state.edges = action.payload;
     },
-    setProgressNodeSize: (
-      state,
-      action: PayloadAction<{ width: number; height: number }>
-    ) => {
-      state.progressNodeSize = action.payload;
+    workflowNameChanged: (state, action: PayloadAction<string>) => {
+      state.workflow.name = action.payload;
+    },
+    workflowDescriptionChanged: (state, action: PayloadAction<string>) => {
+      state.workflow.description = action.payload;
+    },
+    workflowTagsChanged: (state, action: PayloadAction<string>) => {
+      state.workflow.tags = action.payload;
+    },
+    workflowAuthorChanged: (state, action: PayloadAction<string>) => {
+      state.workflow.author = action.payload;
+    },
+    workflowNotesChanged: (state, action: PayloadAction<string>) => {
+      state.workflow.notes = action.payload;
+    },
+    workflowVersionChanged: (state, action: PayloadAction<string>) => {
+      state.workflow.version = action.payload;
+    },
+    workflowContactChanged: (state, action: PayloadAction<string>) => {
+      state.workflow.contact = action.payload;
+    },
+    workflowLoaded: (state, action: PayloadAction<Workflow>) => {
+      // TODO: validation
+      const { nodes, edges, ...workflow } = action.payload;
+      state.workflow = workflow;
+      state.nodes = applyNodeChanges(
+        nodes.map((node) => ({
+          item: { ...node, dragHandle: `.${DRAG_HANDLE_CLASSNAME}` },
+          type: 'add',
+        })),
+        []
+      );
+      state.edges = applyEdgeChanges(
+        edges.map((edge) => ({ item: edge, type: 'add' })),
+        []
+      );
+    },
+    zoomChanged: (state, action: PayloadAction<number>) => {
+      state.zoom = action.payload;
     },
   },
   extraReducers: (builder) => {
     builder.addCase(receivedOpenAPISchema.fulfilled, (state, action) => {
       state.schema = action.payload;
     });
+    builder.addCase(appSocketInvocationStarted, (state, action) => {
+      const { source_node_id } = action.payload.data;
+      const node = state.nodeExecutionStates[source_node_id];
+      if (node) {
+        node.status = NodeStatus.IN_PROGRESS;
+      }
+    });
+    builder.addCase(appSocketInvocationComplete, (state, action) => {
+      const { source_node_id } = action.payload.data;
+      const node = state.nodeExecutionStates[source_node_id];
+      if (node) {
+        node.status = NodeStatus.COMPLETED;
+        if (node.progress !== null) {
+          node.progress = 1;
+        }
+      }
+    });
+    builder.addCase(appSocketInvocationError, (state, action) => {
+      const { source_node_id } = action.payload.data;
+      const node = state.nodeExecutionStates[source_node_id];
+      if (node) {
+        node.status = NodeStatus.FAILED;
+        node.error = action.payload.data.error;
+        node.progress = null;
+        node.progressImage = null;
+      }
+    });
+    builder.addCase(appSocketGeneratorProgress, (state, action) => {
+      const { source_node_id, step, total_steps, progress_image } =
+        action.payload.data;
+      const node = state.nodeExecutionStates[source_node_id];
+      if (node) {
+        node.status = NodeStatus.IN_PROGRESS;
+        node.progress = (step + 1) / total_steps;
+        node.progressImage = progress_image ?? null;
+      }
+    });
+    builder.addCase(sessionInvoked.fulfilled, (state) => {
+      forEach(state.nodeExecutionStates, (nes) => {
+        nes.status = NodeStatus.PENDING;
+        nes.error = null;
+        nes.progress = null;
+        nes.progressImage = null;
+      });
+    });
   },
 });
 
@@ -168,20 +647,53 @@ export const {
   nodesChanged,
   edgesChanged,
   nodeAdded,
-  fieldValueChanged,
+  nodesDeleted,
   connectionMade,
   connectionStarted,
   connectionEnded,
-  shouldShowGraphOverlayChanged,
+  nodeClicked,
   shouldShowFieldTypeLegendChanged,
   shouldShowMinimapPanelChanged,
   nodeTemplatesBuilt,
   nodeEditorReset,
   imageCollectionFieldValueChanged,
-  setEditorInstance,
   loadFileNodes,
   loadFileEdges,
-  setProgressNodeSize,
+  fieldStringValueChanged,
+  fieldNumberValueChanged,
+  fieldBooleanValueChanged,
+  fieldImageValueChanged,
+  fieldColorValueChanged,
+  fieldMainModelValueChanged,
+  fieldVaeModelValueChanged,
+  fieldLoRAModelValueChanged,
+  fieldEnumModelValueChanged,
+  fieldControlNetModelValueChanged,
+  fieldRefinerModelValueChanged,
+  nodeIsOpenChanged,
+  nodeLabelChanged,
+  nodeNotesChanged,
+  edgesDeleted,
+  shouldValidateGraphChanged,
+  shouldAnimateEdgesChanged,
+  nodeOpacityChanged,
+  shouldSnapToGridChanged,
+  shouldColorEdgesChanged,
+  selectedNodesChanged,
+  selectedEdgesChanged,
+  workflowNameChanged,
+  workflowDescriptionChanged,
+  workflowTagsChanged,
+  workflowAuthorChanged,
+  workflowNotesChanged,
+  workflowVersionChanged,
+  workflowContactChanged,
+  workflowLoaded,
+  notesNodeValueChanged,
+  workflowExposedFieldAdded,
+  workflowExposedFieldRemoved,
+  fieldLabelChanged,
+  zoomChanged,
 } = nodesSlice.actions;
 
 export default nodesSlice.reducer;
diff --git a/invokeai/frontend/web/src/features/nodes/store/selectors.ts b/invokeai/frontend/web/src/features/nodes/store/selectors.ts
new file mode 100644
index 0000000000..41a608baa3
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/store/selectors.ts
@@ -0,0 +1,92 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+// import { validateSeedWeights } from 'common/util/seedWeightPairs';
+import { every } from 'lodash-es';
+import { getConnectedEdges } from 'reactflow';
+import { isInvocationNode } from '../types/types';
+import { NodesState } from './types';
+
+export const selectIsReadyNodes = createSelector(
+  [stateSelector],
+  (state) => {
+    const { nodes, system } = state;
+    const { isProcessing, isConnected } = system;
+
+    if (isProcessing || !isConnected) {
+      // Cannot generate if already processing an image
+      return false;
+    }
+
+    if (!nodes.shouldValidateGraph) {
+      return true;
+    }
+
+    const isGraphReady = every(nodes.nodes, (node) => {
+      if (!isInvocationNode(node)) {
+        return true;
+      }
+
+      const nodeTemplate = nodes.nodeTemplates[node.data.type];
+
+      if (!nodeTemplate) {
+        // Node type not found
+        return false;
+      }
+
+      const connectedEdges = getConnectedEdges([node], nodes.edges);
+
+      const isNodeValid = every(node.data.inputs, (field) => {
+        const fieldTemplate = nodeTemplate.inputs[field.name];
+        const hasConnection = connectedEdges.some(
+          (edge) => edge.target === node.id && edge.targetHandle === field.name
+        );
+
+        if (!fieldTemplate) {
+          // Field type not found
+          return false;
+        }
+
+        if (fieldTemplate.required && !field.value && !hasConnection) {
+          // Required field is empty or does not have a connection
+          return false;
+        }
+
+        // ok
+        return true;
+      });
+
+      return isNodeValid;
+    });
+
+    return isGraphReady;
+  },
+  defaultSelectorOptions
+);
+
+export const getNodeAndTemplate = (nodeId: string, nodes: NodesState) => {
+  const node = nodes.nodes.find((node) => node.id === nodeId);
+  const nodeTemplate = nodes.nodeTemplates[node?.data.type ?? ''];
+
+  return { node, nodeTemplate };
+};
+
+export const getInputFieldAndTemplate = (
+  nodeId: string,
+  fieldName: string,
+  nodes: NodesState
+) => {
+  const node = nodes.nodes
+    .filter(isInvocationNode)
+    .find((node) => node.id === nodeId);
+  const nodeTemplate = nodes.nodeTemplates[node?.data.type ?? ''];
+
+  if (!node || !nodeTemplate) {
+    return;
+  }
+
+  const field = node.data.inputs[fieldName];
+  const fieldTemplate = nodeTemplate.inputs[fieldName];
+
+  return { field, fieldTemplate };
+};
diff --git a/invokeai/frontend/web/src/features/nodes/store/types.ts b/invokeai/frontend/web/src/features/nodes/store/types.ts
index 14cb92006b..578adddcee 100644
--- a/invokeai/frontend/web/src/features/nodes/store/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/types.ts
@@ -1,16 +1,31 @@
 import { OpenAPIV3 } from 'openapi-types';
-import { Edge, Node, OnConnectStartParams, ReactFlowInstance } from 'reactflow';
-import { InvocationTemplate, InvocationValue } from '../types/types';
+import { Edge, Node, OnConnectStartParams } from 'reactflow';
+import {
+  FieldType,
+  InvocationEdgeExtra,
+  InvocationTemplate,
+  NodeData,
+  NodeExecutionState,
+  Workflow,
+} from '../types/types';
 
 export type NodesState = {
-  nodes: Node<InvocationValue>[];
-  edges: Edge[];
+  nodes: Node<NodeData>[];
+  edges: Edge<InvocationEdgeExtra>[];
   schema: OpenAPIV3.Document | null;
-  invocationTemplates: Record<string, InvocationTemplate>;
+  nodeTemplates: Record<string, InvocationTemplate>;
   connectionStartParams: OnConnectStartParams | null;
-  shouldShowGraphOverlay: boolean;
+  currentConnectionFieldType: FieldType | null;
   shouldShowFieldTypeLegend: boolean;
   shouldShowMinimapPanel: boolean;
-  editorInstance: ReactFlowInstance | undefined;
-  progressNodeSize: { width: number; height: number };
+  shouldValidateGraph: boolean;
+  shouldAnimateEdges: boolean;
+  nodeOpacity: number;
+  shouldSnapToGrid: boolean;
+  shouldColorEdges: boolean;
+  selectedNodes: string[];
+  selectedEdges: string[];
+  workflow: Omit<Workflow, 'nodes' | 'edges'>;
+  nodeExecutionStates: Record<string, NodeExecutionState>;
+  zoom: number;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts b/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts
new file mode 100644
index 0000000000..3cc3859ce0
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts
@@ -0,0 +1,92 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { getIsGraphAcyclic } from 'features/nodes/hooks/useIsValidConnection';
+import { COLLECTION_TYPES } from 'features/nodes/types/constants';
+import { FieldType } from 'features/nodes/types/types';
+import { HandleType } from 'reactflow';
+
+export const makeConnectionErrorSelector = (
+  nodeId: string,
+  fieldName: string,
+  handleType: HandleType,
+  fieldType: FieldType
+) =>
+  createSelector(stateSelector, (state) => {
+    const { currentConnectionFieldType, connectionStartParams, nodes, edges } =
+      state.nodes;
+
+    if (!state.nodes.shouldValidateGraph) {
+      // manual override!
+      return null;
+    }
+
+    if (!connectionStartParams || !currentConnectionFieldType) {
+      return 'No connection in progress';
+    }
+
+    const {
+      handleType: connectionHandleType,
+      nodeId: connectionNodeId,
+      handleId: connectionFieldName,
+    } = connectionStartParams;
+
+    if (!connectionHandleType || !connectionNodeId || !connectionFieldName) {
+      return 'No connection data';
+    }
+
+    const targetFieldType =
+      handleType === 'target' ? fieldType : currentConnectionFieldType;
+    const sourceFieldType =
+      handleType === 'source' ? fieldType : currentConnectionFieldType;
+
+    if (nodeId === connectionNodeId) {
+      return 'Cannot connect to self';
+    }
+
+    if (handleType === connectionHandleType) {
+      if (handleType === 'source') {
+        return 'Cannot connect output to output';
+      }
+      return 'Cannot connect input to input';
+    }
+
+    if (
+      fieldType !== currentConnectionFieldType &&
+      fieldType !== 'CollectionItem' &&
+      currentConnectionFieldType !== 'CollectionItem'
+    ) {
+      if (
+        !(
+          COLLECTION_TYPES.includes(targetFieldType) &&
+          COLLECTION_TYPES.includes(sourceFieldType)
+        )
+      ) {
+        // except for collection items, field types must match
+        return 'Field types must match';
+      }
+    }
+
+    if (
+      handleType === 'target' &&
+      edges.find((edge) => {
+        return edge.target === nodeId && edge.targetHandle === fieldName;
+      }) &&
+      // except CollectionItem inputs can have multiples
+      targetFieldType !== 'CollectionItem'
+    ) {
+      return 'Inputs may only have one connection';
+    }
+
+    const isGraphAcyclic = getIsGraphAcyclic(
+      connectionHandleType === 'source' ? connectionNodeId : nodeId,
+      connectionHandleType === 'source' ? nodeId : connectionNodeId,
+      nodes,
+      edges
+    );
+
+    if (!isGraphAcyclic) {
+      return 'Connection would create a cycle';
+    }
+
+    return null;
+  });
diff --git a/invokeai/frontend/web/src/features/nodes/store/util/makeTemplateSelector.ts b/invokeai/frontend/web/src/features/nodes/store/util/makeTemplateSelector.ts
index 0a314a75de..2c4ec37f0b 100644
--- a/invokeai/frontend/web/src/features/nodes/store/util/makeTemplateSelector.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/util/makeTemplateSelector.ts
@@ -1,24 +1,11 @@
 import { createSelector } from '@reduxjs/toolkit';
-import { RootState } from 'app/store/store';
-import { InvocationTemplate } from 'features/nodes/types/types';
+import { stateSelector } from 'app/store/store';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import { AnyInvocationType } from 'services/events/types';
 
 export const makeTemplateSelector = (type: AnyInvocationType) =>
   createSelector(
-    [(state: RootState) => state.nodes],
-    (nodes) => {
-      const template = nodes.invocationTemplates[type];
-      if (!template) {
-        return;
-      }
-      return template;
-    },
-    {
-      memoizeOptions: {
-        resultEqualityCheck: (
-          a: InvocationTemplate | undefined,
-          b: InvocationTemplate | undefined
-        ) => a !== undefined && b !== undefined && a.type === b.type,
-      },
-    }
+    stateSelector,
+    ({ nodes }) => nodes.nodeTemplates[type],
+    defaultSelectorOptions
   );
diff --git a/invokeai/frontend/web/src/features/nodes/types/constants.ts b/invokeai/frontend/web/src/features/nodes/types/constants.ts
index d83d240847..f6389d47dd 100644
--- a/invokeai/frontend/web/src/features/nodes/types/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/constants.ts
@@ -1,168 +1,172 @@
 import { FieldType, FieldUIConfig } from './types';
 
 export const HANDLE_TOOLTIP_OPEN_DELAY = 500;
+export const COLOR_TOKEN_VALUE = 500;
+export const NODE_WIDTH = 320;
+export const NODE_MIN_WIDTH = 320;
+export const DRAG_HANDLE_CLASSNAME = 'node-drag-handle';
 
-export const FIELD_TYPE_MAP: Record<string, FieldType> = {
-  integer: 'integer',
-  float: 'float',
-  number: 'float',
-  string: 'string',
-  boolean: 'boolean',
-  enum: 'enum',
-  ImageField: 'image',
-  image_collection: 'image_collection',
-  LatentsField: 'latents',
-  ConditioningField: 'conditioning',
-  UNetField: 'unet',
-  ClipField: 'clip',
-  VaeField: 'vae',
-  model: 'model',
-  refiner_model: 'refiner_model',
-  vae_model: 'vae_model',
-  lora_model: 'lora_model',
-  controlnet_model: 'controlnet_model',
-  ControlNetModelField: 'controlnet_model',
-  array: 'array',
-  item: 'item',
-  ColorField: 'color',
-  ControlField: 'control',
-  control: 'control',
-  cfg_scale: 'float',
-  control_weight: 'float',
-};
+export const COLLECTION_TYPES: FieldType[] = [
+  'Collection',
+  'IntegerCollection',
+  'FloatCollection',
+  'StringCollection',
+  'BooleanCollection',
+  'ImageCollection',
+];
 
-const COLOR_TOKEN_VALUE = 500;
-
-const getColorTokenCssVariable = (color: string) =>
-  `var(--invokeai-colors-${color}-${COLOR_TOKEN_VALUE})`;
+export const colorTokenToCssVar = (colorToken: string) =>
+  `var(--invokeai-colors-${colorToken.split('.').join('-')}`;
 
 export const FIELDS: Record<FieldType, FieldUIConfig> = {
   integer: {
-    color: 'red',
-    colorCssVar: getColorTokenCssVariable('red'),
     title: 'Integer',
     description: 'Integers are whole numbers, without a decimal point.',
+    color: 'red.500',
   },
   float: {
-    color: 'orange',
-    colorCssVar: getColorTokenCssVariable('orange'),
     title: 'Float',
     description: 'Floats are numbers with a decimal point.',
+    color: 'orange.500',
   },
   string: {
-    color: 'yellow',
-    colorCssVar: getColorTokenCssVariable('yellow'),
     title: 'String',
     description: 'Strings are text.',
+    color: 'yellow.500',
   },
   boolean: {
-    color: 'green',
-    colorCssVar: getColorTokenCssVariable('green'),
     title: 'Boolean',
+    color: 'green.500',
     description: 'Booleans are true or false.',
   },
   enum: {
-    color: 'blue',
-    colorCssVar: getColorTokenCssVariable('blue'),
     title: 'Enum',
     description: 'Enums are values that may be one of a number of options.',
+    color: 'blue.500',
   },
-  image: {
-    color: 'purple',
-    colorCssVar: getColorTokenCssVariable('purple'),
+  ImageField: {
     title: 'Image',
     description: 'Images may be passed between nodes.',
+    color: 'purple.500',
   },
-  image_collection: {
-    color: 'purple',
-    colorCssVar: getColorTokenCssVariable('purple'),
-    title: 'Image Collection',
-    description: 'A collection of images.',
-  },
-  latents: {
-    color: 'pink',
-    colorCssVar: getColorTokenCssVariable('pink'),
+  LatentsField: {
     title: 'Latents',
     description: 'Latents may be passed between nodes.',
+    color: 'pink.500',
   },
-  conditioning: {
-    color: 'cyan',
-    colorCssVar: getColorTokenCssVariable('cyan'),
+  ConditioningField: {
+    color: 'cyan.500',
     title: 'Conditioning',
     description: 'Conditioning may be passed between nodes.',
   },
-  unet: {
-    color: 'red',
-    colorCssVar: getColorTokenCssVariable('red'),
+  ImageCollection: {
+    title: 'Image Collection',
+    description: 'A collection of images.',
+    color: 'base.300',
+  },
+  UNetField: {
+    color: 'red.500',
     title: 'UNet',
     description: 'UNet submodel.',
   },
-  clip: {
-    color: 'green',
-    colorCssVar: getColorTokenCssVariable('green'),
+  ClipField: {
+    color: 'green.500',
     title: 'Clip',
     description: 'Tokenizer and text_encoder submodels.',
   },
-  vae: {
-    color: 'blue',
-    colorCssVar: getColorTokenCssVariable('blue'),
+  VaeField: {
+    color: 'blue.500',
     title: 'Vae',
     description: 'Vae submodel.',
   },
-  control: {
-    color: 'cyan',
-    colorCssVar: getColorTokenCssVariable('cyan'), // TODO: no free color left
+  ControlField: {
+    color: 'cyan.500',
     title: 'Control',
     description: 'Control info passed between nodes.',
   },
-  model: {
-    color: 'teal',
-    colorCssVar: getColorTokenCssVariable('teal'),
+  MainModelField: {
+    color: 'teal.500',
     title: 'Model',
-    description: 'Models are models.',
+    description: 'TODO',
   },
-  refiner_model: {
-    color: 'teal',
-    colorCssVar: getColorTokenCssVariable('teal'),
+  SDXLRefinerModelField: {
+    color: 'teal.500',
     title: 'Refiner Model',
-    description: 'Models are models.',
+    description: 'TODO',
   },
-  vae_model: {
-    color: 'teal',
-    colorCssVar: getColorTokenCssVariable('teal'),
+  VaeModelField: {
+    color: 'teal.500',
     title: 'VAE',
-    description: 'Models are models.',
+    description: 'TODO',
   },
-  lora_model: {
-    color: 'teal',
-    colorCssVar: getColorTokenCssVariable('teal'),
+  LoRAModelField: {
+    color: 'teal.500',
     title: 'LoRA',
-    description: 'Models are models.',
+    description: 'TODO',
   },
-  controlnet_model: {
-    color: 'teal',
-    colorCssVar: getColorTokenCssVariable('teal'),
+  ControlNetModelField: {
+    color: 'teal.500',
     title: 'ControlNet',
-    description: 'Models are models.',
+    description: 'TODO',
   },
-  array: {
-    color: 'gray',
-    colorCssVar: getColorTokenCssVariable('gray'),
-    title: 'Array',
-    description: 'TODO: Array type description.',
+  Collection: {
+    color: 'base.500',
+    title: 'Collection',
+    description: 'TODO',
   },
-  item: {
-    color: 'gray',
-    colorCssVar: getColorTokenCssVariable('gray'),
+  CollectionItem: {
+    color: 'base.500',
     title: 'Collection Item',
-    description: 'TODO: Collection Item type description.',
+    description: 'TODO',
   },
-  color: {
-    color: 'gray',
-    colorCssVar: getColorTokenCssVariable('gray'),
+  ColorField: {
     title: 'Color',
     description: 'A RGBA color.',
+    color: 'base.500',
+  },
+  BooleanCollection: {
+    title: 'Boolean Collection',
+    description: 'A collection of booleans.',
+    color: 'green.500',
+  },
+  IntegerCollection: {
+    title: 'Integer Collection',
+    description: 'A collection of integers.',
+    color: 'red.500',
+  },
+  FloatCollection: {
+    color: 'orange.500',
+    title: 'Float Collection',
+    description: 'A collection of floats.',
+  },
+  FilePath: {
+    color: 'base.500',
+    title: 'File Path',
+    description: 'A path to a file.',
+  },
+  LoRAField: {
+    color: 'base.500',
+    title: 'LoRA',
+    description: 'LoRA field.',
+  },
+  ONNXModelField: {
+    color: 'base.500',
+    title: 'ONNX Model',
+    description: 'ONNX model field.',
+  },
+  SDXLMainModelField: {
+    color: 'base.500',
+    title: 'SDXL Model',
+    description: 'SDXL model field.',
+  },
+  Seed: {
+    color: 'green.500',
+    title: 'Seed',
+    description: 'A seed for random number generation.',
+  },
+  StringCollection: {
+    color: 'yellow.500',
+    title: 'String Collection',
+    description: 'A collection of strings.',
   },
 };
-
-export const NODE_MIN_WIDTH = 250;
diff --git a/invokeai/frontend/web/src/features/nodes/types/types.ts b/invokeai/frontend/web/src/features/nodes/types/types.ts
index 157b990b96..927153e744 100644
--- a/invokeai/frontend/web/src/features/nodes/types/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/types.ts
@@ -2,23 +2,25 @@ import {
   ControlNetModelParam,
   LoRAModelParam,
   MainModelParam,
+  OnnxModelParam,
   VaeModelParam,
 } from 'features/parameters/types/parameterSchemas';
 import { OpenAPIV3 } from 'openapi-types';
 import { RgbaColor } from 'react-colorful';
-import { Graph, ImageDTO, ImageField } from 'services/api/types';
-import { AnyInvocationType } from 'services/events/types';
+import { Edge, Node } from 'reactflow';
+import {
+  Graph,
+  ImageDTO,
+  ImageField,
+  _InputField,
+  _OutputField,
+} from 'services/api/types';
+import { AnyInvocationType, ProgressImage } from 'services/events/types';
 import { O } from 'ts-toolbelt';
+import { z } from 'zod';
 
 export type NonNullableGraph = O.Required<Graph, 'nodes' | 'edges'>;
 
-export type InvocationValue = {
-  id: string;
-  type: AnyInvocationType;
-  inputs: Record<string, InputFieldValue>;
-  outputs: Record<string, OutputFieldValue>;
-};
-
 export type InvocationTemplate = {
   /**
    * Unique type of the invocation
@@ -47,37 +49,49 @@ export type InvocationTemplate = {
 };
 
 export type FieldUIConfig = {
-  color: string;
-  colorCssVar: string;
   title: string;
   description: string;
+  color: string;
 };
 
-/**
- * The valid invocation field types
- */
-export type FieldType =
-  | 'integer'
-  | 'float'
-  | 'string'
-  | 'boolean'
-  | 'enum'
-  | 'image'
-  | 'latents'
-  | 'conditioning'
-  | 'unet'
-  | 'clip'
-  | 'vae'
-  | 'control'
-  | 'model'
-  | 'refiner_model'
-  | 'vae_model'
-  | 'lora_model'
-  | 'controlnet_model'
-  | 'array'
-  | 'item'
-  | 'color'
-  | 'image_collection';
+// TODO: Get this from the OpenAPI schema? may be tricky...
+export const zFieldType = z.enum([
+  'integer',
+  'float',
+  'boolean',
+  'string',
+  'enum',
+  'ImageField',
+  'LatentsField',
+  'ConditioningField',
+  'ControlField',
+  'MainModelField',
+  'SDXLMainModelField',
+  'SDXLRefinerModelField',
+  'ONNXModelField',
+  'VaeModelField',
+  'LoRAModelField',
+  'ControlNetModelField',
+  'UNetField',
+  'VaeField',
+  'LoRAField',
+  'ClipField',
+  'ColorField',
+  'ImageCollection',
+  'IntegerCollection',
+  'FloatCollection',
+  'StringCollection',
+  'BooleanCollection',
+  'Seed',
+  'FilePath',
+  'Collection',
+  'CollectionItem',
+]);
+
+export type FieldType = z.infer<typeof zFieldType>;
+
+export const isFieldType = (value: unknown): value is FieldType =>
+  zFieldType.safeParse(value).success;
 
 /**
  * An input field is persisted across reloads as part of the user's local state.
@@ -89,6 +103,7 @@ export type FieldType =
  */
 export type InputFieldValue =
   | IntegerInputFieldValue
+  | SeedInputFieldValue
   | FloatInputFieldValue
   | StringInputFieldValue
   | BooleanInputFieldValue
@@ -101,12 +116,13 @@ export type InputFieldValue =
   | ControlInputFieldValue
   | EnumInputFieldValue
   | MainModelInputFieldValue
-  | RefinerModelInputFieldValue
+  | SDXLMainModelInputFieldValue
+  | SDXLRefinerModelInputFieldValue
   | VaeModelInputFieldValue
   | LoRAModelInputFieldValue
   | ControlNetModelInputFieldValue
-  | ArrayInputFieldValue
-  | ItemInputFieldValue
+  | CollectionInputFieldValue
+  | CollectionItemInputFieldValue
   | ColorInputFieldValue
   | ImageCollectionInputFieldValue;
 
@@ -118,6 +134,7 @@ export type InputFieldValue =
  */
 export type InputFieldTemplate =
   | IntegerInputFieldTemplate
+  | SeedInputFieldTemplate
   | FloatInputFieldTemplate
   | StringInputFieldTemplate
   | BooleanInputFieldTemplate
@@ -129,13 +146,14 @@ export type InputFieldTemplate =
   | VaeInputFieldTemplate
   | ControlInputFieldTemplate
   | EnumInputFieldTemplate
-  | ModelInputFieldTemplate
-  | RefinerModelInputFieldTemplate
+  | MainModelInputFieldTemplate
+  | SDXLMainModelInputFieldTemplate
+  | SDXLRefinerModelInputFieldTemplate
   | VaeModelInputFieldTemplate
   | LoRAModelInputFieldTemplate
   | ControlNetModelInputFieldTemplate
-  | ArrayInputFieldTemplate
-  | ItemInputFieldTemplate
+  | CollectionInputFieldTemplate
+  | CollectionItemInputFieldTemplate
   | ColorInputFieldTemplate
   | ImageCollectionInputFieldTemplate;
 
@@ -146,7 +164,7 @@ export type InputFieldTemplate =
  * - `id` a unique identifier
  * - `name` the name of the field, which comes from the python dataclass
  */
-export type OutputFieldValue = FieldValueBase;
+export type OutputFieldValue = FieldValueBase & { fieldKind: 'output' };
 
 /**
  * An output field template is generated on each page load from the OpenAPI schema.
@@ -154,17 +172,13 @@ export type OutputFieldValue = FieldValueBase;
  * The template provides the output field's name, type, title, and description.
  */
 export type OutputFieldTemplate = {
+  fieldKind: 'output';
   name: string;
   type: FieldType;
   title: string;
   description: string;
 };
 
-/**
- * Indicates when/if this field needs an input.
- */
-export type InputRequirement = 'always' | 'never' | 'optional';
-
 /**
  * Indicates the kind of input(s) this field may have.
  */
@@ -176,108 +190,123 @@ export type FieldValueBase = {
   type: FieldType;
 };
 
-export type IntegerInputFieldValue = FieldValueBase & {
+export type InputFieldValueBase = FieldValueBase & {
+  fieldKind: 'input';
+  label: string;
+};
+
+export type IntegerInputFieldValue = InputFieldValueBase & {
   type: 'integer';
   value?: number;
 };
 
-export type FloatInputFieldValue = FieldValueBase & {
+export type FloatInputFieldValue = InputFieldValueBase & {
   type: 'float';
   value?: number;
 };
 
-export type StringInputFieldValue = FieldValueBase & {
+export type SeedInputFieldValue = InputFieldValueBase & {
+  type: 'Seed';
+  value?: number;
+};
+
+export type StringInputFieldValue = InputFieldValueBase & {
   type: 'string';
   value?: string;
 };
 
-export type BooleanInputFieldValue = FieldValueBase & {
+export type BooleanInputFieldValue = InputFieldValueBase & {
   type: 'boolean';
   value?: boolean;
 };
 
-export type EnumInputFieldValue = FieldValueBase & {
+export type EnumInputFieldValue = InputFieldValueBase & {
   type: 'enum';
   value?: number | string;
 };
 
-export type LatentsInputFieldValue = FieldValueBase & {
-  type: 'latents';
+export type LatentsInputFieldValue = InputFieldValueBase & {
+  type: 'LatentsField';
   value?: undefined;
 };
 
-export type ConditioningInputFieldValue = FieldValueBase & {
-  type: 'conditioning';
+export type ConditioningInputFieldValue = InputFieldValueBase & {
+  type: 'ConditioningField';
   value?: string;
 };
 
-export type ControlInputFieldValue = FieldValueBase & {
-  type: 'control';
+export type ControlInputFieldValue = InputFieldValueBase & {
+  type: 'ControlField';
   value?: undefined;
 };
 
-export type UNetInputFieldValue = FieldValueBase & {
-  type: 'unet';
+export type UNetInputFieldValue = InputFieldValueBase & {
+  type: 'UNetField';
   value?: undefined;
 };
 
-export type ClipInputFieldValue = FieldValueBase & {
-  type: 'clip';
+export type ClipInputFieldValue = InputFieldValueBase & {
+  type: 'ClipField';
   value?: undefined;
 };
 
-export type VaeInputFieldValue = FieldValueBase & {
-  type: 'vae';
+export type VaeInputFieldValue = InputFieldValueBase & {
+  type: 'VaeField';
   value?: undefined;
 };
 
-export type ImageInputFieldValue = FieldValueBase & {
-  type: 'image';
+export type ImageInputFieldValue = InputFieldValueBase & {
+  type: 'ImageField';
   value?: ImageField;
 };
 
-export type ImageCollectionInputFieldValue = FieldValueBase & {
-  type: 'image_collection';
+export type ImageCollectionInputFieldValue = InputFieldValueBase & {
+  type: 'ImageCollection';
   value?: ImageField[];
 };
 
-export type MainModelInputFieldValue = FieldValueBase & {
-  type: 'model';
-  value?: MainModelParam;
+export type MainModelInputFieldValue = InputFieldValueBase & {
+  type: 'MainModelField';
+  value?: MainModelParam | OnnxModelParam;
 };
 
-export type RefinerModelInputFieldValue = FieldValueBase & {
-  type: 'refiner_model';
-  value?: MainModelParam;
+export type SDXLMainModelInputFieldValue = InputFieldValueBase & {
+  type: 'SDXLMainModelField';
+  value?: MainModelParam | OnnxModelParam;
 };
 
-export type VaeModelInputFieldValue = FieldValueBase & {
-  type: 'vae_model';
+export type SDXLRefinerModelInputFieldValue = InputFieldValueBase & {
+  type: 'SDXLRefinerModelField';
+  value?: MainModelParam | OnnxModelParam;
+};
+
+export type VaeModelInputFieldValue = InputFieldValueBase & {
+  type: 'VaeModelField';
   value?: VaeModelParam;
 };
 
-export type LoRAModelInputFieldValue = FieldValueBase & {
-  type: 'lora_model';
+export type LoRAModelInputFieldValue = InputFieldValueBase & {
+  type: 'LoRAModelField';
   value?: LoRAModelParam;
 };
 
-export type ControlNetModelInputFieldValue = FieldValueBase & {
-  type: 'controlnet_model';
+export type ControlNetModelInputFieldValue = InputFieldValueBase & {
+  type: 'ControlNetModelField';
   value?: ControlNetModelParam;
 };
 
-export type ArrayInputFieldValue = FieldValueBase & {
-  type: 'array';
+export type CollectionInputFieldValue = InputFieldValueBase & {
+  type: 'Collection';
   value?: (string | number)[];
 };
 
-export type ItemInputFieldValue = FieldValueBase & {
-  type: 'item';
+export type CollectionItemInputFieldValue = InputFieldValueBase & {
+  type: 'CollectionItem';
   value?: undefined;
 };
 
-export type ColorInputFieldValue = FieldValueBase & {
-  type: 'color';
+export type ColorInputFieldValue = InputFieldValueBase & {
+  type: 'ColorField';
   value?: RgbaColor;
 };
 
@@ -286,9 +315,9 @@ export type InputFieldTemplateBase = {
   title: string;
   description: string;
   type: FieldType;
-  inputRequirement: InputRequirement;
-  inputKind: InputKind;
-};
+  required: boolean;
+  fieldKind: 'input';
+} & _InputField;
 
 export type IntegerInputFieldTemplate = InputFieldTemplateBase & {
   type: 'integer';
@@ -300,6 +329,16 @@ export type IntegerInputFieldTemplate = InputFieldTemplateBase & {
   exclusiveMinimum?: boolean;
 };
 
+export type SeedInputFieldTemplate = InputFieldTemplateBase & {
+  type: 'Seed';
+  default: number;
+  multipleOf?: number;
+  maximum?: number;
+  exclusiveMaximum?: boolean;
+  minimum?: number;
+  exclusiveMinimum?: boolean;
+};
+
 export type FloatInputFieldTemplate = InputFieldTemplateBase & {
   type: 'float';
   default: number;
@@ -325,42 +364,42 @@ export type BooleanInputFieldTemplate = InputFieldTemplateBase & {
 
 export type ImageInputFieldTemplate = InputFieldTemplateBase & {
   default: ImageDTO;
-  type: 'image';
+  type: 'ImageField';
 };
 
 export type ImageCollectionInputFieldTemplate = InputFieldTemplateBase & {
   default: ImageField[];
-  type: 'image_collection';
+  type: 'ImageCollection';
 };
 
 export type LatentsInputFieldTemplate = InputFieldTemplateBase & {
   default: string;
-  type: 'latents';
+  type: 'LatentsField';
 };
 
 export type ConditioningInputFieldTemplate = InputFieldTemplateBase & {
   default: undefined;
-  type: 'conditioning';
+  type: 'ConditioningField';
 };
 
 export type UNetInputFieldTemplate = InputFieldTemplateBase & {
   default: undefined;
-  type: 'unet';
+  type: 'UNetField';
 };
 
 export type ClipInputFieldTemplate = InputFieldTemplateBase & {
   default: undefined;
-  type: 'clip';
+  type: 'ClipField';
 };
 
 export type VaeInputFieldTemplate = InputFieldTemplateBase & {
   default: undefined;
-  type: 'vae';
+  type: 'VaeField';
 };
 
 export type ControlInputFieldTemplate = InputFieldTemplateBase & {
   default: undefined;
-  type: 'control';
+  type: 'ControlField';
 };
 
 export type EnumInputFieldTemplate = InputFieldTemplateBase & {
@@ -370,46 +409,59 @@ export type EnumInputFieldTemplate = InputFieldTemplateBase & {
   options: Array<string | number>;
 };
 
-export type ModelInputFieldTemplate = InputFieldTemplateBase & {
-  default: string;
-  type: 'model';
+export type MainModelInputFieldTemplate = InputFieldTemplateBase & {
+  default: undefined;
+  type: 'MainModelField';
 };
 
-export type RefinerModelInputFieldTemplate = InputFieldTemplateBase & {
-  default: string;
-  type: 'refiner_model';
+export type SDXLMainModelInputFieldTemplate = InputFieldTemplateBase & {
+  default: undefined;
+  type: 'SDXLMainModelField';
+};
+
+export type SDXLRefinerModelInputFieldTemplate = InputFieldTemplateBase & {
+  default: undefined;
+  type: 'SDXLRefinerModelField';
 };
 
 export type VaeModelInputFieldTemplate = InputFieldTemplateBase & {
   default: string;
-  type: 'vae_model';
+  type: 'VaeModelField';
 };
 
 export type LoRAModelInputFieldTemplate = InputFieldTemplateBase & {
   default: string;
-  type: 'lora_model';
+  type: 'LoRAModelField';
 };
 
 export type ControlNetModelInputFieldTemplate = InputFieldTemplateBase & {
   default: string;
-  type: 'controlnet_model';
+  type: 'ControlNetModelField';
 };
 
-export type ArrayInputFieldTemplate = InputFieldTemplateBase & {
+export type CollectionInputFieldTemplate = InputFieldTemplateBase & {
   default: [];
-  type: 'array';
+  type: 'Collection';
 };
 
-export type ItemInputFieldTemplate = InputFieldTemplateBase & {
+export type CollectionItemInputFieldTemplate = InputFieldTemplateBase & {
   default: undefined;
-  type: 'item';
+  type: 'CollectionItem';
 };
 
 export type ColorInputFieldTemplate = InputFieldTemplateBase & {
   default: RgbaColor;
-  type: 'color';
+  type: 'ColorField';
 };
 
+export const isInputFieldValue = (
+  field: InputFieldValue | OutputFieldValue
+): field is InputFieldValue => field.fieldKind === 'input';
+
+export const isInputFieldTemplate = (
+  fieldTemplate: InputFieldTemplate | OutputFieldTemplate
+): fieldTemplate is InputFieldTemplate => fieldTemplate.fieldKind === 'input';
+
 /**
  * JANKY CUSTOMISATION OF OpenAPI SCHEMA TYPES
  */
@@ -422,12 +474,12 @@ export type InvocationSchemaExtra = {
   output: OpenAPIV3.ReferenceObject; // the output of the invocation
   ui?: {
     tags?: string[];
-    type_hints?: TypeHints;
     title?: string;
   };
   title: string;
   properties: Omit<
-    NonNullable<OpenAPIV3.SchemaObject['properties']>,
+    NonNullable<OpenAPIV3.SchemaObject['properties']> &
+      (_InputField | _OutputField),
     'type'
   > & {
     type: Omit<OpenAPIV3.SchemaObject, 'default'> & {
@@ -446,6 +498,8 @@ export type InvocationBaseSchemaObject = Omit<
 > &
   InvocationSchemaExtra;
 
+export type InvocationFieldSchema = OpenAPIV3.SchemaObject & _InputField;
+
 export interface ArraySchemaObject extends InvocationBaseSchemaObject {
   type: OpenAPIV3.ArraySchemaObjectType;
   items: OpenAPIV3.ReferenceObject | OpenAPIV3.SchemaObject;
@@ -459,3 +513,153 @@ export type InvocationSchemaObject = ArraySchemaObject | NonArraySchemaObject;
 export const isInvocationSchemaObject = (
   obj: OpenAPIV3.ReferenceObject | InvocationSchemaObject
 ): obj is InvocationSchemaObject => !('$ref' in obj);
+
+export const isInvocationFieldSchema = (
+  obj: OpenAPIV3.ReferenceObject | OpenAPIV3.SchemaObject
+): obj is InvocationFieldSchema => !('$ref' in obj);
+
+export type InvocationEdgeExtra = { type: 'default' | 'collapsed' };
+
+export const zInputFieldValue = z.object({
+  id: z.string().trim().min(1),
+  name: z.string().trim().min(1),
+  type: zFieldType,
+  label: z.string(),
+  isExposed: z.boolean(),
+});
+
+export const zInvocationNodeData = z.object({
+  id: z.string().trim().min(1),
+  type: z.string().trim().min(1),
+  inputs: z.record(z.any()),
+  outputs: z.record(z.any()),
+  label: z.string(),
+  isOpen: z.boolean(),
+  notes: z.string(),
+});
+
+export const zNotesNodeData = z.object({
+  id: z.string().trim().min(1),
+  type: z.literal('notes'),
+  label: z.string(),
+  isOpen: z.boolean(),
+  notes: z.string(),
+});
+
+export const zWorkflow = z.object({
+  name: z.string().trim().min(1),
+  author: z.string(),
+  description: z.string(),
+  version: z.string(),
+  contact: z.string(),
+  tags: z.string(),
+  notes: z.string(),
+  nodes: z.array(
+    z.object({
+      id: z.string().trim().min(1),
+      type: z.string().trim().min(1),
+      data: z.union([zInvocationNodeData, zNotesNodeData]),
+      width: z.number().gt(0),
+      height: z.number().gt(0),
+      position: z.object({
+        x: z.number(),
+        y: z.number(),
+      }),
+    })
+  ),
+  edges: z.array(
+    z.object({
+      source: z.string().trim().min(1),
+      sourceHandle: z.string().trim().min(1),
+      target: z.string().trim().min(1),
+      targetHandle: z.string().trim().min(1),
+      id: z.string().trim().min(1),
+      type: z.string().trim().min(1),
+    })
+  ),
+});
+
+export type Workflow = {
+  name: string;
+  author: string;
+  description: string;
+  version: string;
+  contact: string;
+  tags: string;
+  notes: string;
+  nodes: Pick<
+    Node<InvocationNodeData | NotesNodeData>,
+    'id' | 'type' | 'data' | 'width' | 'height' | 'position'
+  >[];
+  edges: Pick<
+    Edge<InvocationEdgeExtra>,
+    'source' | 'sourceHandle' | 'target' | 'targetHandle' | 'id' | 'type'
+  >[];
+  exposedFields: FieldIdentifier[];
+};
+
+export type InvocationNodeData = {
+  id: string;
+  type: AnyInvocationType;
+  inputs: Record<string, InputFieldValue>;
+  outputs: Record<string, OutputFieldValue>;
+  label: string;
+  isOpen: boolean;
+  notes: string;
+};
+
+export type NotesNodeData = {
+  id: string;
+  type: 'notes';
+  label: string;
+  notes: string;
+  isOpen: boolean;
+};
+
+export type CurrentImageNodeData = {
+  id: string;
+  type: 'current_image';
+  isOpen: boolean;
+  label: string;
+};
+
+export type NodeData =
+  | InvocationNodeData
+  | NotesNodeData
+  | CurrentImageNodeData;
+
+export const isInvocationNode = (
+  node?: Node<NodeData>
+): node is Node<InvocationNodeData> => node?.type === 'invocation';
+
+export const isInvocationNodeData = (
+  node?: NodeData
+): node is InvocationNodeData =>
+  !['notes', 'current_image'].includes(node?.type ?? '');
+
+export const isNotesNode = (
+  node?: Node<NodeData>
+): node is Node<NotesNodeData> => node?.type === 'notes';
+
+export const isProgressImageNode = (
+  node?: Node<NodeData>
+): node is Node<CurrentImageNodeData> => node?.type === 'current_image';
+
+export enum NodeStatus {
+  PENDING,
+  IN_PROGRESS,
+  COMPLETED,
+  FAILED,
+}
+
+export type NodeExecutionState = {
+  status: NodeStatus;
+  progress: number | null;
+  progressImage: ProgressImage | null;
+  error: string | null;
+};
+
+export type FieldIdentifier = {
+  nodeId: string;
+  fieldName: string;
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/buildWorkflow.ts b/invokeai/frontend/web/src/features/nodes/util/buildWorkflow.ts
new file mode 100644
index 0000000000..da3aff7e1c
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/buildWorkflow.ts
@@ -0,0 +1,42 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { pick } from 'lodash-es';
+import { NodesState } from '../store/types';
+import { Workflow, isInvocationNode, isNotesNode } from '../types/types';
+
+export const buildWorkflow = (nodesState: NodesState): Workflow => {
+  const { workflow: workflowMeta, nodes, edges } = nodesState;
+  const workflow: Workflow = {
+    ...workflowMeta,
+    nodes: [],
+    edges: [],
+  };
+
+  nodes.forEach((node) => {
+    if (!isInvocationNode(node) && !isNotesNode(node)) {
+      return;
+    }
+    workflow.nodes.push(
+      pick(node, ['id', 'type', 'position', 'width', 'height', 'data'])
+    );
+  });
+
+  edges.forEach((edge) => {
+    workflow.edges.push(
+      pick(edge, [
+        'source',
+        'sourceHandle',
+        'target',
+        'targetHandle',
+        'id',
+        'type',
+      ])
+    );
+  });
+
+  return workflow;
+};
+
+export const workflowSelector = createSelector(stateSelector, ({ nodes }) =>
+  buildWorkflow(nodes)
+);
diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
index de7d798c69..44712ec600 100644
--- a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
@@ -1,11 +1,13 @@
+import { logger } from 'app/logging/logger';
+import { parseify } from 'common/util/serialize';
 import { reduce } from 'lodash-es';
 import { OpenAPIV3 } from 'openapi-types';
-import { FIELD_TYPE_MAP } from '../types/constants';
 import { isSchemaObject } from '../types/typeGuards';
 import {
-  ArrayInputFieldTemplate,
   BooleanInputFieldTemplate,
   ClipInputFieldTemplate,
+  CollectionInputFieldTemplate,
+  CollectionItemInputFieldTemplate,
   ColorInputFieldTemplate,
   ConditioningInputFieldTemplate,
   ControlInputFieldTemplate,
@@ -17,29 +19,28 @@ import {
   ImageInputFieldTemplate,
   InputFieldTemplateBase,
   IntegerInputFieldTemplate,
-  ItemInputFieldTemplate,
+  InvocationFieldSchema,
+  InvocationSchemaObject,
   LatentsInputFieldTemplate,
   LoRAModelInputFieldTemplate,
-  ModelInputFieldTemplate,
+  MainModelInputFieldTemplate,
   OutputFieldTemplate,
-  RefinerModelInputFieldTemplate,
+  SDXLRefinerModelInputFieldTemplate,
+  SDXLMainModelInputFieldTemplate,
+  SeedInputFieldTemplate,
   StringInputFieldTemplate,
-  TypeHints,
   UNetInputFieldTemplate,
   VaeInputFieldTemplate,
   VaeModelInputFieldTemplate,
+  isFieldType,
+  isInvocationFieldSchema,
 } from '../types/types';
-import { logger } from 'app/logging/logger';
-import { parseify } from 'common/util/serialize';
 
 export type BaseFieldProperties = 'name' | 'title' | 'description';
 
 export type BuildInputFieldArg = {
-  schemaObject: OpenAPIV3.SchemaObject;
-  baseField: Omit<
-    InputFieldTemplateBase,
-    'type' | 'inputRequirement' | 'inputKind'
-  >;
+  schemaObject: InvocationFieldSchema;
+  baseField: Omit<InputFieldTemplateBase, 'type'>;
 };
 
 /**
@@ -52,12 +53,12 @@ export type BuildInputFieldArg = {
  */
 export const refObjectToFieldType = (
   refObject: OpenAPIV3.ReferenceObject
-): keyof typeof FIELD_TYPE_MAP => {
+): FieldType => {
   const name = refObject.$ref.split('/').slice(-1)[0];
   if (!name) {
-    return 'UNKNOWN FIELD TYPE';
+    throw `Unknown field type: ${name}`;
   }
-  return name;
+  return name as FieldType;
 };
 
 const buildIntegerInputFieldTemplate = ({
@@ -67,8 +68,39 @@ const buildIntegerInputFieldTemplate = ({
   const template: IntegerInputFieldTemplate = {
     ...baseField,
     type: 'integer',
-    inputRequirement: 'always',
-    inputKind: 'any',
+    default: schemaObject.default ?? 0,
+  };
+
+  if (schemaObject.multipleOf !== undefined) {
+    template.multipleOf = schemaObject.multipleOf;
+  }
+
+  if (schemaObject.maximum !== undefined) {
+    template.maximum = schemaObject.maximum;
+  }
+
+  if (schemaObject.exclusiveMaximum !== undefined) {
+    template.exclusiveMaximum = schemaObject.exclusiveMaximum;
+  }
+
+  if (schemaObject.minimum !== undefined) {
+    template.minimum = schemaObject.minimum;
+  }
+
+  if (schemaObject.exclusiveMinimum !== undefined) {
+    template.exclusiveMinimum = schemaObject.exclusiveMinimum;
+  }
+
+  return template;
+};
+
+const buildSeedInputFieldTemplate = ({
+  schemaObject,
+  baseField,
+}: BuildInputFieldArg): SeedInputFieldTemplate => {
+  const template: SeedInputFieldTemplate = {
+    ...baseField,
+    type: 'Seed',
     default: schemaObject.default ?? 0,
   };
 
@@ -102,8 +134,6 @@ const buildFloatInputFieldTemplate = ({
   const template: FloatInputFieldTemplate = {
     ...baseField,
     type: 'float',
-    inputRequirement: 'always',
-    inputKind: 'any',
     default: schemaObject.default ?? 0,
   };
 
@@ -137,8 +167,6 @@ const buildStringInputFieldTemplate = ({
   const template: StringInputFieldTemplate = {
     ...baseField,
     type: 'string',
-    inputRequirement: 'always',
-    inputKind: 'any',
     default: schemaObject.default ?? '',
   };
 
@@ -164,23 +192,32 @@ const buildBooleanInputFieldTemplate = ({
   const template: BooleanInputFieldTemplate = {
     ...baseField,
     type: 'boolean',
-    inputRequirement: 'always',
-    inputKind: 'any',
     default: schemaObject.default ?? false,
   };
 
   return template;
 };
 
-const buildModelInputFieldTemplate = ({
+const buildMainModelInputFieldTemplate = ({
   schemaObject,
   baseField,
-}: BuildInputFieldArg): ModelInputFieldTemplate => {
-  const template: ModelInputFieldTemplate = {
+}: BuildInputFieldArg): MainModelInputFieldTemplate => {
+  const template: MainModelInputFieldTemplate = {
     ...baseField,
-    type: 'model',
-    inputRequirement: 'always',
-    inputKind: 'direct',
+    type: 'MainModelField',
+    default: schemaObject.default ?? undefined,
+  };
+
+  return template;
+};
+
+const buildSDXLMainModelInputFieldTemplate = ({
+  schemaObject,
+  baseField,
+}: BuildInputFieldArg): SDXLMainModelInputFieldTemplate => {
+  const template: SDXLMainModelInputFieldTemplate = {
+    ...baseField,
+    type: 'SDXLMainModelField',
     default: schemaObject.default ?? undefined,
   };
 
@@ -190,12 +227,10 @@ const buildModelInputFieldTemplate = ({
 const buildRefinerModelInputFieldTemplate = ({
   schemaObject,
   baseField,
-}: BuildInputFieldArg): RefinerModelInputFieldTemplate => {
-  const template: RefinerModelInputFieldTemplate = {
+}: BuildInputFieldArg): SDXLRefinerModelInputFieldTemplate => {
+  const template: SDXLRefinerModelInputFieldTemplate = {
     ...baseField,
-    type: 'refiner_model',
-    inputRequirement: 'always',
-    inputKind: 'direct',
+    type: 'SDXLRefinerModelField',
     default: schemaObject.default ?? undefined,
   };
 
@@ -208,9 +243,7 @@ const buildVaeModelInputFieldTemplate = ({
 }: BuildInputFieldArg): VaeModelInputFieldTemplate => {
   const template: VaeModelInputFieldTemplate = {
     ...baseField,
-    type: 'vae_model',
-    inputRequirement: 'always',
-    inputKind: 'direct',
+    type: 'VaeModelField',
     default: schemaObject.default ?? undefined,
   };
 
@@ -223,9 +256,7 @@ const buildLoRAModelInputFieldTemplate = ({
 }: BuildInputFieldArg): LoRAModelInputFieldTemplate => {
   const template: LoRAModelInputFieldTemplate = {
     ...baseField,
-    type: 'lora_model',
-    inputRequirement: 'always',
-    inputKind: 'direct',
+    type: 'LoRAModelField',
     default: schemaObject.default ?? undefined,
   };
 
@@ -238,9 +269,7 @@ const buildControlNetModelInputFieldTemplate = ({
 }: BuildInputFieldArg): ControlNetModelInputFieldTemplate => {
   const template: ControlNetModelInputFieldTemplate = {
     ...baseField,
-    type: 'controlnet_model',
-    inputRequirement: 'always',
-    inputKind: 'direct',
+    type: 'ControlNetModelField',
     default: schemaObject.default ?? undefined,
   };
 
@@ -253,9 +282,7 @@ const buildImageInputFieldTemplate = ({
 }: BuildInputFieldArg): ImageInputFieldTemplate => {
   const template: ImageInputFieldTemplate = {
     ...baseField,
-    type: 'image',
-    inputRequirement: 'always',
-    inputKind: 'any',
+    type: 'ImageField',
     default: schemaObject.default ?? undefined,
   };
 
@@ -268,9 +295,7 @@ const buildImageCollectionInputFieldTemplate = ({
 }: BuildInputFieldArg): ImageCollectionInputFieldTemplate => {
   const template: ImageCollectionInputFieldTemplate = {
     ...baseField,
-    type: 'image_collection',
-    inputRequirement: 'always',
-    inputKind: 'any',
+    type: 'ImageCollection',
     default: schemaObject.default ?? undefined,
   };
 
@@ -283,9 +308,7 @@ const buildLatentsInputFieldTemplate = ({
 }: BuildInputFieldArg): LatentsInputFieldTemplate => {
   const template: LatentsInputFieldTemplate = {
     ...baseField,
-    type: 'latents',
-    inputRequirement: 'always',
-    inputKind: 'connection',
+    type: 'LatentsField',
     default: schemaObject.default ?? undefined,
   };
 
@@ -298,9 +321,7 @@ const buildConditioningInputFieldTemplate = ({
 }: BuildInputFieldArg): ConditioningInputFieldTemplate => {
   const template: ConditioningInputFieldTemplate = {
     ...baseField,
-    type: 'conditioning',
-    inputRequirement: 'always',
-    inputKind: 'connection',
+    type: 'ConditioningField',
     default: schemaObject.default ?? undefined,
   };
 
@@ -313,9 +334,8 @@ const buildUNetInputFieldTemplate = ({
 }: BuildInputFieldArg): UNetInputFieldTemplate => {
   const template: UNetInputFieldTemplate = {
     ...baseField,
-    type: 'unet',
-    inputRequirement: 'always',
-    inputKind: 'connection',
+    type: 'UNetField',
+
     default: schemaObject.default ?? undefined,
   };
 
@@ -328,9 +348,7 @@ const buildClipInputFieldTemplate = ({
 }: BuildInputFieldArg): ClipInputFieldTemplate => {
   const template: ClipInputFieldTemplate = {
     ...baseField,
-    type: 'clip',
-    inputRequirement: 'always',
-    inputKind: 'connection',
+    type: 'ClipField',
     default: schemaObject.default ?? undefined,
   };
 
@@ -343,9 +361,7 @@ const buildVaeInputFieldTemplate = ({
 }: BuildInputFieldArg): VaeInputFieldTemplate => {
   const template: VaeInputFieldTemplate = {
     ...baseField,
-    type: 'vae',
-    inputRequirement: 'always',
-    inputKind: 'connection',
+    type: 'VaeField',
     default: schemaObject.default ?? undefined,
   };
 
@@ -358,9 +374,7 @@ const buildControlInputFieldTemplate = ({
 }: BuildInputFieldArg): ControlInputFieldTemplate => {
   const template: ControlInputFieldTemplate = {
     ...baseField,
-    type: 'control',
-    inputRequirement: 'always',
-    inputKind: 'connection',
+    type: 'ControlField',
     default: schemaObject.default ?? undefined,
   };
 
@@ -377,36 +391,30 @@ const buildEnumInputFieldTemplate = ({
     type: 'enum',
     enumType: (schemaObject.type as 'string' | 'number') ?? 'string', // TODO: dangerous?
     options: options,
-    inputRequirement: 'always',
-    inputKind: 'direct',
     default: schemaObject.default ?? options[0],
   };
 
   return template;
 };
 
-const buildArrayInputFieldTemplate = ({
+const buildCollectionInputFieldTemplate = ({
   baseField,
-}: BuildInputFieldArg): ArrayInputFieldTemplate => {
-  const template: ArrayInputFieldTemplate = {
+}: BuildInputFieldArg): CollectionInputFieldTemplate => {
+  const template: CollectionInputFieldTemplate = {
     ...baseField,
-    type: 'array',
-    inputRequirement: 'always',
-    inputKind: 'direct',
+    type: 'Collection',
     default: [],
   };
 
   return template;
 };
 
-const buildItemInputFieldTemplate = ({
+const buildCollectionItemInputFieldTemplate = ({
   baseField,
-}: BuildInputFieldArg): ItemInputFieldTemplate => {
-  const template: ItemInputFieldTemplate = {
+}: BuildInputFieldArg): CollectionItemInputFieldTemplate => {
+  const template: CollectionItemInputFieldTemplate = {
     ...baseField,
-    type: 'item',
-    inputRequirement: 'always',
-    inputKind: 'direct',
+    type: 'CollectionItem',
     default: undefined,
   };
 
@@ -419,9 +427,7 @@ const buildColorInputFieldTemplate = ({
 }: BuildInputFieldArg): ColorInputFieldTemplate => {
   const template: ColorInputFieldTemplate = {
     ...baseField,
-    type: 'color',
-    inputRequirement: 'always',
-    inputKind: 'direct',
+    type: 'ColorField',
     default: schemaObject.default ?? { r: 127, g: 127, b: 127, a: 255 },
   };
 
@@ -429,42 +435,45 @@ const buildColorInputFieldTemplate = ({
 };
 
 export const getFieldType = (
-  schemaObject: OpenAPIV3.SchemaObject,
-  name: string,
-  typeHints?: TypeHints
+  schemaObject: InvocationFieldSchema
 ): FieldType => {
-  let rawFieldType = '';
+  let fieldType = '';
 
-  if (typeHints && name in typeHints) {
-    rawFieldType = typeHints[name] ?? 'UNKNOWN FIELD TYPE';
+  const { ui_type_hint } = schemaObject;
+  if (ui_type_hint) {
+    fieldType = ui_type_hint;
   } else if (!schemaObject.type) {
+    // console.log('refObject', schemaObject);
     // if schemaObject has no type, then it should have one of allOf, anyOf, oneOf
     if (schemaObject.allOf) {
-      rawFieldType = refObjectToFieldType(
+      fieldType = refObjectToFieldType(
         // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
         schemaObject.allOf![0] as OpenAPIV3.ReferenceObject
       );
     } else if (schemaObject.anyOf) {
-      rawFieldType = refObjectToFieldType(
+      fieldType = refObjectToFieldType(
         // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
         schemaObject.anyOf![0] as OpenAPIV3.ReferenceObject
       );
     } else if (schemaObject.oneOf) {
-      rawFieldType = refObjectToFieldType(
+      fieldType = refObjectToFieldType(
         // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
         schemaObject.oneOf![0] as OpenAPIV3.ReferenceObject
       );
     }
   } else if (schemaObject.enum) {
-    rawFieldType = 'enum';
+    fieldType = 'enum';
   } else if (schemaObject.type) {
-    rawFieldType = schemaObject.type;
+    if (schemaObject.type === 'number') {
+      // floats are "number" in OpenAPI, while ints are "integer"
+      fieldType = 'float';
+    } else {
+      fieldType = schemaObject.type;
+    }
   }
 
-  const fieldType = FIELD_TYPE_MAP[rawFieldType];
-
-  if (!fieldType) {
-    throw `Field type "${rawFieldType}" is unknown!`;
+  if (!isFieldType(fieldType)) {
+    throw `Field type "${fieldType}" is unknown!`;
   }
 
   return fieldType;
@@ -472,93 +481,171 @@ export const getFieldType = (
 
 /**
  * Builds an input field from an invocation schema property.
- * @param schemaObject The schema object
+ * @param fieldSchema The schema object
  * @returns An input field
  */
 export const buildInputFieldTemplate = (
-  schemaObject: OpenAPIV3.SchemaObject,
-  name: string,
-  typeHints?: TypeHints
+  nodeSchema: InvocationSchemaObject,
+  fieldSchema: InvocationFieldSchema,
+  name: string
 ) => {
-  const fieldType = getFieldType(schemaObject, name, typeHints);
+  // console.log('input', schemaObject);
+  const fieldType = getFieldType(fieldSchema);
+  // console.log('input fieldType', fieldType);
+
+  const { input, ui_hidden, ui_component, ui_type_hint } = fieldSchema;
+
+  const extra = {
+    input,
+    ui_hidden,
+    ui_component,
+    ui_type_hint,
+    required: nodeSchema.required?.includes(name) ?? false,
+  };
 
   const baseField = {
     name,
-    title: schemaObject.title ?? '',
-    description: schemaObject.description ?? '',
+    title: fieldSchema.title ?? '',
+    description: fieldSchema.description ?? '',
+    fieldKind: 'input' as const,
+    ...extra,
   };
 
-  if (['image'].includes(fieldType)) {
-    return buildImageInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'ImageField') {
+    return buildImageInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-
-  if (['image_collection'].includes(fieldType)) {
-    return buildImageCollectionInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'ImageCollection') {
+    return buildImageCollectionInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['latents'].includes(fieldType)) {
-    return buildLatentsInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'LatentsField') {
+    return buildLatentsInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['conditioning'].includes(fieldType)) {
-    return buildConditioningInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'ConditioningField') {
+    return buildConditioningInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['unet'].includes(fieldType)) {
-    return buildUNetInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'UNetField') {
+    return buildUNetInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['clip'].includes(fieldType)) {
-    return buildClipInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'ClipField') {
+    return buildClipInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['vae'].includes(fieldType)) {
-    return buildVaeInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'VaeField') {
+    return buildVaeInputFieldTemplate({ schemaObject: fieldSchema, baseField });
   }
-  if (['control'].includes(fieldType)) {
-    return buildControlInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'ControlField') {
+    return buildControlInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['model'].includes(fieldType)) {
-    return buildModelInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'MainModelField') {
+    return buildMainModelInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['refiner_model'].includes(fieldType)) {
-    return buildRefinerModelInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'SDXLRefinerModelField') {
+    return buildRefinerModelInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['vae_model'].includes(fieldType)) {
-    return buildVaeModelInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'SDXLMainModelField') {
+    return buildSDXLMainModelInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['lora_model'].includes(fieldType)) {
-    return buildLoRAModelInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'VaeModelField') {
+    return buildVaeModelInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['controlnet_model'].includes(fieldType)) {
-    return buildControlNetModelInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'LoRAModelField') {
+    return buildLoRAModelInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['enum'].includes(fieldType)) {
-    return buildEnumInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'ControlNetModelField') {
+    return buildControlNetModelInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['integer'].includes(fieldType)) {
-    return buildIntegerInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'enum') {
+    return buildEnumInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['number', 'float'].includes(fieldType)) {
-    return buildFloatInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'integer') {
+    return buildIntegerInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['string'].includes(fieldType)) {
-    return buildStringInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'float') {
+    return buildFloatInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['boolean'].includes(fieldType)) {
-    return buildBooleanInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'string') {
+    return buildStringInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['array'].includes(fieldType)) {
-    return buildArrayInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'boolean') {
+    return buildBooleanInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['item'].includes(fieldType)) {
-    return buildItemInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'Seed') {
+    return buildSeedInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['color'].includes(fieldType)) {
-    return buildColorInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'Collection') {
+    return buildCollectionInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['array'].includes(fieldType)) {
-    return buildArrayInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'CollectionItem') {
+    return buildCollectionItemInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-  if (['item'].includes(fieldType)) {
-    return buildItemInputFieldTemplate({ schemaObject, baseField });
+  if (fieldType === 'ColorField') {
+    return buildColorInputFieldTemplate({
+      schemaObject: fieldSchema,
+      baseField,
+    });
   }
-
   return;
 };
 
@@ -570,8 +657,7 @@ export const buildInputFieldTemplate = (
  */
 export const buildOutputFieldTemplates = (
   refObject: OpenAPIV3.ReferenceObject,
-  openAPI: OpenAPIV3.Document,
-  typeHints?: TypeHints
+  openAPI: OpenAPIV3.Document
 ): Record<string, OutputFieldTemplate> => {
   // extract output schema name from ref
   const outputSchemaName = refObject.$ref.split('/').slice(-1)[0];
@@ -585,31 +671,34 @@ export const buildOutputFieldTemplates = (
   }
 
   // get the output schema itself
-  // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
-  const outputSchema = openAPI.components!.schemas![outputSchemaName];
-
+  const outputSchema = openAPI.components?.schemas?.[outputSchemaName];
   if (!outputSchema) {
     logger('nodes').error({ outputSchemaName }, 'Output schema not found');
     throw 'Output schema not found';
   }
 
+  // console.log('output', outputSchema);
   if (isSchemaObject(outputSchema)) {
+    // console.log('isSchemaObject');
     const outputFields = reduce(
       outputSchema.properties as OpenAPIV3.SchemaObject,
       (outputsAccumulator, property, propertyName) => {
         if (
           !['type', 'id'].includes(propertyName) &&
           !['object'].includes(property.type) && // TODO: handle objects?
-          isSchemaObject(property)
+          isInvocationFieldSchema(property)
         ) {
-          const fieldType = getFieldType(property, propertyName, typeHints);
-
+          const fieldType = getFieldType(property);
+          // console.log('output fieldType', fieldType);
           outputsAccumulator[propertyName] = {
+            fieldKind: 'output',
             name: propertyName,
             title: property.title ?? '',
             description: property.description ?? '',
             type: fieldType,
           };
+        } else {
+          // console.warn('Unhandled OUTPUT property', property);
         }
 
         return outputsAccumulator;
diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts
index 3c6850a88a..473dc83bb6 100644
--- a/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/fieldValueBuilders.ts
@@ -8,89 +8,89 @@ export const buildInputFieldValue = (
     id,
     name: template.name,
     type: template.type,
+    label: '',
+    fieldKind: 'input',
   };
 
-  if (template.inputRequirement !== 'never') {
-    if (template.type === 'string') {
+  if (template.type === 'string') {
+    fieldValue.value = template.default ?? '';
+  }
+
+  if (template.type === 'integer') {
+    fieldValue.value = template.default ?? 0;
+  }
+
+  if (template.type === 'float') {
+    fieldValue.value = template.default ?? 0;
+  }
+
+  if (template.type === 'boolean') {
+    fieldValue.value = template.default ?? false;
+  }
+
+  if (template.type === 'enum') {
+    if (template.enumType === 'number') {
+      fieldValue.value = template.default ?? 0;
+    }
+    if (template.enumType === 'string') {
       fieldValue.value = template.default ?? '';
     }
+  }
 
-    if (template.type === 'integer') {
-      fieldValue.value = template.default ?? 0;
-    }
+  if (template.type === 'Collection') {
+    fieldValue.value = template.default ?? 1;
+  }
 
-    if (template.type === 'float') {
-      fieldValue.value = template.default ?? 0;
-    }
+  if (template.type === 'ImageField') {
+    fieldValue.value = undefined;
+  }
 
-    if (template.type === 'boolean') {
-      fieldValue.value = template.default ?? false;
-    }
+  if (template.type === 'ImageCollection') {
+    fieldValue.value = [];
+  }
 
-    if (template.type === 'enum') {
-      if (template.enumType === 'number') {
-        fieldValue.value = template.default ?? 0;
-      }
-      if (template.enumType === 'string') {
-        fieldValue.value = template.default ?? '';
-      }
-    }
+  if (template.type === 'LatentsField') {
+    fieldValue.value = undefined;
+  }
 
-    if (template.type === 'array') {
-      fieldValue.value = template.default ?? 1;
-    }
+  if (template.type === 'ConditioningField') {
+    fieldValue.value = undefined;
+  }
 
-    if (template.type === 'image') {
-      fieldValue.value = undefined;
-    }
+  if (template.type === 'UNetField') {
+    fieldValue.value = undefined;
+  }
 
-    if (template.type === 'image_collection') {
-      fieldValue.value = [];
-    }
+  if (template.type === 'ClipField') {
+    fieldValue.value = undefined;
+  }
 
-    if (template.type === 'latents') {
-      fieldValue.value = undefined;
-    }
+  if (template.type === 'VaeField') {
+    fieldValue.value = undefined;
+  }
 
-    if (template.type === 'conditioning') {
-      fieldValue.value = undefined;
-    }
+  if (template.type === 'ControlField') {
+    fieldValue.value = undefined;
+  }
 
-    if (template.type === 'unet') {
-      fieldValue.value = undefined;
-    }
+  if (template.type === 'MainModelField') {
+    fieldValue.value = undefined;
+  }
 
-    if (template.type === 'clip') {
-      fieldValue.value = undefined;
-    }
+  if (template.type === 'SDXLRefinerModelField') {
+    fieldValue.value = undefined;
+  }
 
-    if (template.type === 'vae') {
-      fieldValue.value = undefined;
-    }
+  if (template.type === 'VaeModelField') {
+    fieldValue.value = undefined;
+  }
 
-    if (template.type === 'control') {
-      fieldValue.value = undefined;
-    }
+  if (template.type === 'LoRAModelField') {
+    fieldValue.value = undefined;
+  }
 
-    if (template.type === 'model') {
-      fieldValue.value = undefined;
-    }
-
-    if (template.type === 'refiner_model') {
-      fieldValue.value = undefined;
-    }
-
-    if (template.type === 'vae_model') {
-      fieldValue.value = undefined;
-    }
-
-    if (template.type === 'lora_model') {
-      fieldValue.value = undefined;
-    }
-
-    if (template.type === 'controlnet_model') {
-      fieldValue.value = undefined;
-    }
+  if (template.type === 'ControlNetModelField') {
+    fieldValue.value = undefined;
   }
 
   return fieldValue;
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addControlNetToLinearGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addControlNetToLinearGraph.ts
index 578c4371f2..491c6547ba 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addControlNetToLinearGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addControlNetToLinearGraph.ts
@@ -81,9 +81,9 @@ export const addControlNetToLinearGraph = (
           return;
         }
 
-        graph.nodes[controlNetNode.id] = controlNetNode;
+        graph.nodes[controlNetNode.id] = controlNetNode as ControlNetInvocation;
 
-        if (metadataAccumulator) {
+        if (metadataAccumulator?.controlnets) {
           // metadata accumulator only needs a control field - not the whole node
           // extract what we need and add to the accumulator
           const controlField = omit(controlNetNode, [
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addLoRAsToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addLoRAsToGraph.ts
index cdd91d6e4f..01158d1cf0 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addLoRAsToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addLoRAsToGraph.ts
@@ -67,7 +67,7 @@ export const addLoRAsToGraph = (
     };
 
     // add the lora to the metadata accumulator
-    if (metadataAccumulator) {
+    if (metadataAccumulator?.loras) {
       metadataAccumulator.loras.push({
         lora: { model_name, base_model },
         weight,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts
index 35e7f3ac38..3291348d0a 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addNSFWCheckerToGraph.ts
@@ -43,7 +43,7 @@ export const addNSFWCheckerToGraph = (
     is_intermediate,
   };
 
-  graph.nodes[NSFW_CHECKER] = nsfwCheckerNode;
+  graph.nodes[NSFW_CHECKER] = nsfwCheckerNode as ImageNSFWBlurInvocation;
   graph.edges.push({
     source: {
       node_id: nodeIdToAddTo,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLLoRAstoGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLLoRAstoGraph.ts
index c0f7f7ca82..190816f21f 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLLoRAstoGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLLoRAstoGraph.ts
@@ -70,6 +70,9 @@ export const addSDXLLoRAsToGraph = (
 
     // add the lora to the metadata accumulator
     if (metadataAccumulator) {
+      if (!metadataAccumulator.loras) {
+        metadataAccumulator.loras = [];
+      }
       metadataAccumulator.loras.push({
         lora: { model_name, base_model },
         weight,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
index adce34adf5..2a6ef8e80c 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
@@ -41,9 +41,9 @@ export const addSDXLRefinerToGraph = (
 
   if (metadataAccumulator) {
     metadataAccumulator.refiner_model = refinerModel;
-    metadataAccumulator.refiner_positive_aesthetic_score =
+    metadataAccumulator.refiner_positive_aesthetic_store =
       refinerPositiveAestheticScore;
-    metadataAccumulator.refiner_negative_aesthetic_score =
+    metadataAccumulator.refiner_negative_aesthetic_store =
       refinerNegativeAestheticScore;
     metadataAccumulator.refiner_cfg_scale = refinerCFGScale;
     metadataAccumulator.refiner_scheduler = refinerScheduler;
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
index 23f6acb539..97688bd154 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
@@ -5,7 +5,7 @@ import {
   ImageBlurInvocation,
   ImageDTO,
   ImageToLatentsInvocation,
-  InfillPatchmatchInvocation,
+  InfillPatchMatchInvocation,
   InfillTileInvocation,
   NoiseInvocation,
   RandomIntInvocation,
@@ -539,7 +539,7 @@ export const buildCanvasOutpaintGraph = (
     graph.nodes[INPAINT_INFILL] = {
       ...(graph.nodes[INPAINT_INFILL] as
         | InfillTileInvocation
-        | InfillPatchmatchInvocation),
+        | InfillPatchMatchInvocation),
       image: canvasInitImage,
     };
     graph.nodes[NOISE] = {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index 50a773bf50..6bffb83b6e 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -5,7 +5,7 @@ import {
   ImageBlurInvocation,
   ImageDTO,
   ImageToLatentsInvocation,
-  InfillPatchmatchInvocation,
+  InfillPatchMatchInvocation,
   InfillTileInvocation,
   NoiseInvocation,
   RandomIntInvocation,
@@ -553,7 +553,7 @@ export const buildCanvasSDXLOutpaintGraph = (
     graph.nodes[INPAINT_INFILL] = {
       ...(graph.nodes[INPAINT_INFILL] as
         | InfillTileInvocation
-        | InfillPatchmatchInvocation),
+        | InfillPatchMatchInvocation),
       image: canvasInitImage,
     };
     graph.nodes[NOISE] = {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildNodesGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildNodesGraph.ts
index bae29ee3f5..4304737ba9 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildNodesGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildNodesGraph.ts
@@ -1,5 +1,5 @@
-import { RootState } from 'app/store/store';
-import { InputFieldValue } from 'features/nodes/types/types';
+import { NodesState } from 'features/nodes/store/types';
+import { InputFieldValue, isInvocationNode } from 'features/nodes/types/types';
 import { cloneDeep, omit, reduce } from 'lodash-es';
 import { Graph } from 'services/api/types';
 import { AnyInvocation } from 'services/events/types';
@@ -9,7 +9,7 @@ import { v4 as uuidv4 } from 'uuid';
  * We need to do special handling for some fields
  */
 export const parseFieldValue = (field: InputFieldValue) => {
-  if (field.type === 'color') {
+  if (field.type === 'ColorField') {
     if (field.value) {
       const clonedValue = cloneDeep(field.value);
 
@@ -30,10 +30,10 @@ export const parseFieldValue = (field: InputFieldValue) => {
 /**
  * Builds a graph from the node editor state.
  */
-export const buildNodesGraph = (state: RootState): Graph => {
-  const { nodes, edges } = state.nodes;
+export const buildNodesGraph = (nodesState: NodesState): Graph => {
+  const { nodes, edges } = nodesState;
 
-  const filteredNodes = nodes.filter((n) => n.type !== 'progress_image');
+  const filteredNodes = nodes.filter(isInvocationNode);
 
   // Reduce the node editor nodes into invocation graph nodes
   const parsedNodes = filteredNodes.reduce<NonNullable<Graph['nodes']>>(
@@ -70,8 +70,11 @@ export const buildNodesGraph = (state: RootState): Graph => {
     {}
   );
 
+  // skip out the "dummy" edges between collapsed nodes
+  const filteredEdges = edges.filter((n) => n.type !== 'collapsed');
+
   // Reduce the node editor edges into invocation graph edges
-  const parsedEdges = edges.reduce<NonNullable<Graph['edges']>>(
+  const parsedEdges = filteredEdges.reduce<NonNullable<Graph['edges']>>(
     (edgesAccumulator, edge) => {
       const { source, target, sourceHandle, targetHandle } = edge;
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
index 3a9cf233b5..19201b23bb 100644
--- a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
@@ -1,11 +1,10 @@
 import { filter, reduce } from 'lodash-es';
 import { OpenAPIV3 } from 'openapi-types';
-import { isSchemaObject } from '../types/typeGuards';
 import {
   InputFieldTemplate,
   InvocationSchemaObject,
   InvocationTemplate,
-  OutputFieldTemplate,
+  isInvocationFieldSchema,
   isInvocationSchemaObject,
 } from '../types/types';
 import {
@@ -13,12 +12,7 @@ import {
   buildOutputFieldTemplates,
 } from './fieldTemplateBuilders';
 
-const getReservedFieldNames = (type: string): string[] => {
-  if (type === 'l2i') {
-    return ['id', 'type', 'metadata'];
-  }
-  return ['id', 'type', 'is_intermediate', 'metadata'];
-};
+const RESERVED_FIELD_NAMES = ['id', 'type', 'metadata'];
 
 const invocationDenylist = [
   'Graph',
@@ -42,83 +36,41 @@ export const parseSchema = (
   >((acc, schema) => {
     if (isInvocationSchemaObject(schema)) {
       const type = schema.properties.type.default;
-      const RESERVED_FIELD_NAMES = getReservedFieldNames(type);
-
       const title = schema.ui?.title ?? schema.title.replace('Invocation', '');
-      const typeHints = schema.ui?.type_hints;
+      const tags = schema.ui?.tags ?? [];
+      const description = schema.description ?? '';
 
-      const inputs: Record<string, InputFieldTemplate> = {};
+      const inputs = reduce(
+        schema.properties,
+        (inputsAccumulator, property, propertyName) => {
+          if (
+            !RESERVED_FIELD_NAMES.includes(propertyName) &&
+            isInvocationFieldSchema(property) &&
+            !property.ui_hidden
+          ) {
+            const field = buildInputFieldTemplate(
+              schema,
+              property,
+              propertyName
+            );
 
-      if (type === 'collect') {
-        const itemProperty = schema.properties.item as InvocationSchemaObject;
-        inputs.item = {
-          type: 'item',
-          name: 'item',
-          description: itemProperty.description ?? '',
-          title: 'Collection Item',
-          inputKind: 'connection',
-          inputRequirement: 'always',
-          default: undefined,
-        };
-      } else if (type === 'iterate') {
-        const itemProperty = schema.properties
-          .collection as InvocationSchemaObject;
-        inputs.collection = {
-          type: 'array',
-          name: 'collection',
-          title: itemProperty.title ?? '',
-          default: [],
-          description: itemProperty.description ?? '',
-          inputRequirement: 'always',
-          inputKind: 'connection',
-        };
-      } else {
-        reduce(
-          schema.properties,
-          (inputsAccumulator, property, propertyName) => {
-            if (
-              !RESERVED_FIELD_NAMES.includes(propertyName) &&
-              isSchemaObject(property)
-            ) {
-              const field = buildInputFieldTemplate(
-                property,
-                propertyName,
-                typeHints
-              );
-              if (field) {
-                inputsAccumulator[propertyName] = field;
-              }
+            if (field) {
+              inputsAccumulator[propertyName] = field;
             }
-            return inputsAccumulator;
-          },
-          inputs
-        );
-      }
+          }
+          return inputsAccumulator;
+        },
+        {} as Record<string, InputFieldTemplate>
+      );
 
       const rawOutput = (schema as InvocationSchemaObject).output;
-      let outputs: Record<string, OutputFieldTemplate>;
-
-      if (type === 'iterate') {
-        const iterationOutput = openAPI.components?.schemas?.[
-          'IterateInvocationOutput'
-        ] as OpenAPIV3.SchemaObject;
-        outputs = {
-          item: {
-            name: 'item',
-            title: iterationOutput?.title ?? '',
-            description: iterationOutput?.description ?? '',
-            type: 'array',
-          },
-        };
-      } else {
-        outputs = buildOutputFieldTemplates(rawOutput, openAPI, typeHints);
-      }
+      const outputs = buildOutputFieldTemplates(rawOutput, openAPI);
 
       const invocation: InvocationTemplate = {
         title,
         type,
-        tags: schema.ui?.tags ?? [],
-        description: schema.description ?? '',
+        tags,
+        description,
         inputs,
         outputs,
       };
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/InitialImage.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/InitialImage.tsx
index 0c5b2c68d0..e8a629e2ac 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/InitialImage.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/ImageToImage/InitialImage.tsx
@@ -1,14 +1,14 @@
 import { createSelector } from '@reduxjs/toolkit';
 import { skipToken } from '@reduxjs/toolkit/dist/query';
-import {
-  TypesafeDraggableData,
-  TypesafeDroppableData,
-} from 'app/components/ImageDnd/typesafeDnd';
 import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIDndImage from 'common/components/IAIDndImage';
 import { IAINoContentFallback } from 'common/components/IAIImageFallback';
+import {
+  TypesafeDraggableData,
+  TypesafeDroppableData,
+} from 'features/dnd/types';
 import { useMemo } from 'react';
 import { useGetImageDTOQuery } from 'services/api/endpoints/images';
 
diff --git a/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx b/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx
index af810f7836..04c71be20f 100644
--- a/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx
+++ b/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsModal.tsx
@@ -9,8 +9,8 @@ import {
   ModalHeader,
   ModalOverlay,
   Text,
-  useDisclosure,
   useColorMode,
+  useDisclosure,
 } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { VALID_LOG_LEVELS } from 'app/logging/logger';
@@ -23,7 +23,6 @@ import { setShouldShowAdvancedOptions } from 'features/parameters/store/generati
 import {
   consoleLogLevelChanged,
   setEnableImageDebugging,
-  setIsNodesEnabled,
   setShouldConfirmOnDelete,
   shouldAntialiasProgressImageChanged,
   shouldLogToConsoleChanged,
@@ -46,14 +45,14 @@ import {
 import { useTranslation } from 'react-i18next';
 import { LogLevelName } from 'roarr';
 import { useGetAppConfigQuery } from 'services/api/endpoints/appInfo';
+import { useFeatureStatus } from '../../hooks/useFeatureStatus';
+import { LANGUAGES } from '../../store/constants';
+import { languageSelector } from '../../store/systemSelectors';
+import { languageChanged } from '../../store/systemSlice';
 import SettingSwitch from './SettingSwitch';
 import SettingsClearIntermediates from './SettingsClearIntermediates';
 import SettingsSchedulers from './SettingsSchedulers';
 import StyledFlex from './StyledFlex';
-import { useFeatureStatus } from '../../hooks/useFeatureStatus';
-import { LANGUAGES } from '../../store/constants';
-import { languageChanged } from '../../store/systemSlice';
-import { languageSelector } from '../../store/systemSelectors';
 
 const selector = createSelector(
   [stateSelector],
@@ -64,7 +63,6 @@ const selector = createSelector(
       consoleLogLevel,
       shouldLogToConsole,
       shouldAntialiasProgressImage,
-      isNodesEnabled,
       shouldUseNSFWChecker,
       shouldUseWatermarker,
     } = system;
@@ -87,7 +85,6 @@ const selector = createSelector(
       shouldLogToConsole,
       shouldAntialiasProgressImage,
       shouldShowAdvancedOptions,
-      isNodesEnabled,
       shouldUseNSFWChecker,
       shouldUseWatermarker,
     };
@@ -103,7 +100,6 @@ type ConfigOptions = {
   shouldShowBetaLayout: boolean;
   shouldShowAdvancedOptionsSettings: boolean;
   shouldShowClearIntermediates: boolean;
-  shouldShowNodesToggle: boolean;
   shouldShowLocalizationToggle: boolean;
 };
 
@@ -125,7 +121,6 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => {
     config?.shouldShowAdvancedOptionsSettings ?? true;
   const shouldShowClearIntermediates =
     config?.shouldShowClearIntermediates ?? true;
-  const shouldShowNodesToggle = config?.shouldShowNodesToggle ?? true;
   const shouldShowLocalizationToggle =
     config?.shouldShowLocalizationToggle ?? true;
 
@@ -167,7 +162,6 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => {
     shouldLogToConsole,
     shouldAntialiasProgressImage,
     shouldShowAdvancedOptions,
-    isNodesEnabled,
     shouldUseNSFWChecker,
     shouldUseWatermarker,
   } = useAppSelector(selector);
@@ -207,13 +201,6 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => {
     [dispatch]
   );
 
-  const handleToggleNodes = useCallback(
-    (e: ChangeEvent<HTMLInputElement>) => {
-      dispatch(setIsNodesEnabled(e.target.checked));
-    },
-    [dispatch]
-  );
-
   const { colorMode, toggleColorMode } = useColorMode();
 
   const isLocalizationEnabled =
@@ -320,14 +307,6 @@ const SettingsModal = ({ children, config }: SettingsModalProps) => {
                     }
                   />
                 )}
-                {shouldShowNodesToggle && (
-                  <SettingSwitch
-                    label={t('settings.enableNodesEditor')}
-                    useBadge
-                    isChecked={isNodesEnabled}
-                    onChange={handleToggleNodes}
-                  />
-                )}
                 {shouldShowLocalizationToggle && (
                   <IAIMantineSelect
                     disabled={!isLocalizationEnabled}
diff --git a/invokeai/frontend/web/src/features/system/store/systemSlice.ts b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
index 079819fce7..b22a493868 100644
--- a/invokeai/frontend/web/src/features/system/store/systemSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
@@ -4,6 +4,7 @@ import { InvokeLogLevel } from 'app/logging/logger';
 import { userInvoked } from 'app/store/actions';
 import { nodeTemplatesBuilt } from 'features/nodes/store/nodesSlice';
 import { t } from 'i18next';
+import { startCase } from 'lodash-es';
 import { LogLevelName } from 'roarr';
 import {
   isAnySessionRejected,
@@ -25,7 +26,6 @@ import {
 import { ProgressImage } from 'services/events/types';
 import { makeToast } from '../util/makeToast';
 import { LANGUAGES } from './constants';
-import { startCase } from 'lodash-es';
 
 export type CancelStrategy = 'immediate' | 'scheduled';
 
@@ -86,7 +86,6 @@ export interface SystemState {
   shouldAntialiasProgressImage: boolean;
   language: keyof typeof LANGUAGES;
   isUploading: boolean;
-  isNodesEnabled: boolean;
   shouldUseNSFWChecker: boolean;
   shouldUseWatermarker: boolean;
 }
@@ -120,7 +119,6 @@ export const initialSystemState: SystemState = {
   isPersisted: false,
   language: 'en',
   isUploading: false,
-  isNodesEnabled: false,
   shouldUseNSFWChecker: false,
   shouldUseWatermarker: false,
 };
@@ -195,9 +193,6 @@ export const systemSlice = createSlice({
     progressImageSet(state, action: PayloadAction<ProgressImage | null>) {
       state.progressImage = action.payload;
     },
-    setIsNodesEnabled(state, action: PayloadAction<boolean>) {
-      state.isNodesEnabled = action.payload;
-    },
     shouldUseNSFWCheckerChanged(state, action: PayloadAction<boolean>) {
       state.shouldUseNSFWChecker = action.payload;
     },
@@ -425,7 +420,6 @@ export const {
   shouldAntialiasProgressImageChanged,
   languageChanged,
   progressImageSet,
-  setIsNodesEnabled,
   shouldUseNSFWCheckerChanged,
   shouldUseWatermarkerChanged,
 } = systemSlice.actions;
diff --git a/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx b/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx
index 87ce801ead..2dd9220288 100644
--- a/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx
@@ -11,11 +11,10 @@ import {
 } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import AuxiliaryProgressIndicator from 'app/components/AuxiliaryProgressIndicator';
-import { RootState } from 'app/store/store';
+import { RootState, stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { requestCanvasRescale } from 'features/canvas/store/thunks/requestCanvasScale';
 import ImageGalleryContent from 'features/gallery/components/ImageGalleryContent';
-import { configSelector } from 'features/system/store/configSelectors';
 import { InvokeTabName, tabMap } from 'features/ui/store/tabMap';
 import { setActiveTab, togglePanels } from 'features/ui/store/uiSlice';
 import { ResourceKey } from 'i18next';
@@ -37,7 +36,6 @@ import NodesTab from './tabs/Nodes/NodesTab';
 import ResizeHandle from './tabs/ResizeHandle';
 import TextToImageTab from './tabs/TextToImage/TextToImageTab';
 import UnifiedCanvasTab from './tabs/UnifiedCanvas/UnifiedCanvasTab';
-import { systemSelector } from '../../system/store/systemSelectors';
 
 export interface InvokeTabInfo {
   id: InvokeTabName;
@@ -77,27 +75,13 @@ const tabs: InvokeTabInfo[] = [
     icon: <Icon as={FaCube} sx={{ boxSize: 6, pointerEvents: 'none' }} />,
     content: <ModelManagerTab />,
   },
-  // {
-  //   id: 'batch',
-  //   icon: <Icon as={FaLayerGroup} sx={{ boxSize: 6, pointerEvents: 'none' }} />,
-  //   content: <BatchTab />,
-  // },
 ];
 
 const enabledTabsSelector = createSelector(
-  [configSelector, systemSelector],
-  (config, system) => {
+  [stateSelector],
+  ({ config }) => {
     const { disabledTabs } = config;
-    const { isNodesEnabled } = system;
-
-    const enabledTabs = tabs.filter((tab) => {
-      if (tab.id === 'nodes') {
-        return isNodesEnabled && !disabledTabs.includes(tab.id);
-      } else {
-        return !disabledTabs.includes(tab.id);
-      }
-    });
-
+    const enabledTabs = tabs.filter((tab) => !disabledTabs.includes(tab.id));
     return enabledTabs;
   },
   {
@@ -185,6 +169,7 @@ const InvokeTabs = () => {
 
   return (
     <Tabs
+      variant="appTabs"
       defaultIndex={activeTab}
       index={activeTab}
       onChange={handleTabChange}
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/Nodes/NodesTab.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/Nodes/NodesTab.tsx
index aff0a7ce07..2e2b07f24b 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/Nodes/NodesTab.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/Nodes/NodesTab.tsx
@@ -1,8 +1,13 @@
-import { memo } from 'react';
 import NodeEditor from 'features/nodes/components/NodeEditor';
+import { memo } from 'react';
+import { ReactFlowProvider } from 'reactflow';
 
 const NodesTab = () => {
-  return <NodeEditor />;
+  return (
+    <ReactFlowProvider>
+      <NodeEditor />
+    </ReactFlowProvider>
+  );
 };
 
 export default memo(NodesTab);
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ResizeHandle.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ResizeHandle.tsx
index 57f2e89ef0..b8f99bfa29 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ResizeHandle.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ResizeHandle.tsx
@@ -1,33 +1,47 @@
-import { Box, Flex, FlexProps, useColorMode } from '@chakra-ui/react';
+import { Box, Flex, FlexProps, useColorModeValue } from '@chakra-ui/react';
 import { memo } from 'react';
 import { PanelResizeHandle } from 'react-resizable-panels';
-import { mode } from 'theme/util/mode';
 
 type ResizeHandleProps = Omit<FlexProps, 'direction'> & {
   direction?: 'horizontal' | 'vertical';
+  collapsedDirection?: 'top' | 'bottom' | 'left' | 'right';
 };
 
 const ResizeHandle = (props: ResizeHandleProps) => {
-  const { direction = 'horizontal', ...rest } = props;
-  const { colorMode } = useColorMode();
+  const { direction = 'horizontal', collapsedDirection, ...rest } = props;
+  const bg = useColorModeValue('base.100', 'base.850');
+  const hoverBg = useColorModeValue('base.300', 'base.700');
 
   if (direction === 'horizontal') {
     return (
       <PanelResizeHandle>
         <Flex
+          className="resize-handle-horizontal"
           sx={{
-            w: 6,
+            w: collapsedDirection ? 2.5 : 4,
             h: 'full',
-            justifyContent: 'center',
+            justifyContent: collapsedDirection
+              ? collapsedDirection === 'left'
+                ? 'flex-start'
+                : 'flex-end'
+              : 'center',
             alignItems: 'center',
+            div: {
+              bg,
+            },
+            _hover: {
+              div: { bg: hoverBg },
+            },
           }}
           {...rest}
         >
           <Box
             sx={{
-              w: 0.5,
-              h: 'calc(100% - 4px)',
-              bg: mode('base.100', 'base.850')(colorMode),
+              w: 1,
+              h: 'calc(100% - 1rem)',
+              borderRadius: 'base',
+              transitionProperty: 'common',
+              transitionDuration: 'normal',
             }}
           />
         </Flex>
@@ -38,19 +52,32 @@ const ResizeHandle = (props: ResizeHandleProps) => {
   return (
     <PanelResizeHandle>
       <Flex
+        className="resize-handle-vertical"
         sx={{
           w: 'full',
-          h: 6,
+          h: collapsedDirection ? 2.5 : 4,
+          alignItems: collapsedDirection
+            ? collapsedDirection === 'top'
+              ? 'flex-start'
+              : 'flex-end'
+            : 'center',
           justifyContent: 'center',
-          alignItems: 'center',
+          div: {
+            bg,
+          },
+          _hover: {
+            div: { bg: hoverBg },
+          },
         }}
         {...rest}
       >
         <Box
           sx={{
-            w: 'calc(100% - 4px)',
-            h: 0.5,
-            bg: mode('base.100', 'base.850')(colorMode),
+            h: 1,
+            w: 'calc(100% - 1rem)',
+            borderRadius: 'base',
+            transitionProperty: 'common',
+            transitionDuration: 'normal',
           }}
         />
       </Flex>
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasContent.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasContent.tsx
index f48daa678a..91bf4732c3 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasContent.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasContent.tsx
@@ -2,19 +2,16 @@ import { Box, Flex } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAIDropOverlay from 'common/components/IAIDropOverlay';
 import IAICanvas from 'features/canvas/components/IAICanvas';
 import IAICanvasResizer from 'features/canvas/components/IAICanvasResizer';
 import IAICanvasToolbar from 'features/canvas/components/IAICanvasToolbar/IAICanvasToolbar';
 import { canvasSelector } from 'features/canvas/store/canvasSelectors';
 import { requestCanvasRescale } from 'features/canvas/store/thunks/requestCanvasScale';
+import { useDroppableTypesafe } from 'features/dnd/hooks/typesafeHooks';
+import { CanvasInitialImageDropData } from 'features/dnd/types';
+import { isValidDrop } from 'features/dnd/util/isValidDrop';
 import { uiSelector } from 'features/ui/store/uiSelectors';
-
-import {
-  CanvasInitialImageDropData,
-  isValidDrop,
-  useDroppable,
-} from 'app/components/ImageDnd/typesafeDnd';
-import IAIDropOverlay from 'common/components/IAIDropOverlay';
 import { memo, useLayoutEffect } from 'react';
 import UnifiedCanvasToolSettingsBeta from './UnifiedCanvasBeta/UnifiedCanvasToolSettingsBeta';
 import UnifiedCanvasToolbarBeta from './UnifiedCanvasBeta/UnifiedCanvasToolbarBeta';
@@ -47,7 +44,7 @@ const UnifiedCanvasContent = () => {
     isOver,
     setNodeRef: setDroppableRef,
     active,
-  } = useDroppable({
+  } = useDroppableTypesafe({
     id: 'unifiedCanvas',
     data: droppableData,
   });
diff --git a/invokeai/frontend/web/src/features/ui/hooks/useMinimumPanelSize.ts b/invokeai/frontend/web/src/features/ui/hooks/useMinimumPanelSize.ts
index b382b27329..3b2d9a068a 100644
--- a/invokeai/frontend/web/src/features/ui/hooks/useMinimumPanelSize.ts
+++ b/invokeai/frontend/web/src/features/ui/hooks/useMinimumPanelSize.ts
@@ -14,7 +14,10 @@ export const useMinimumPanelSize = (
   defaultSizePct: number,
   groupId: string,
   orientation: 'horizontal' | 'vertical' = 'horizontal'
-): { ref: RefObject<ImperativePanelHandle>; minSizePct: number } => {
+): {
+  ref: RefObject<ImperativePanelHandle>;
+  minSizePct: number;
+} => {
   const ref = useRef<ImperativePanelHandle>(null);
   const [minSizePct, setMinSizePct] = useState(defaultSizePct);
 
@@ -31,7 +34,9 @@ export const useMinimumPanelSize = (
       `[data-panel-group-id="${groupId}"]`
     );
     const resizeHandles = document.querySelectorAll(
-      '[data-panel-resize-handle-id]'
+      orientation === 'horizontal'
+        ? '.resize-handle-horizontal'
+        : '.resize-handle-vertical'
     );
 
     if (!panelGroup) {
diff --git a/invokeai/frontend/web/src/features/ui/store/hotkeysSlice.ts b/invokeai/frontend/web/src/features/ui/store/hotkeysSlice.ts
index 2c16d6b5f4..2b59300ddd 100644
--- a/invokeai/frontend/web/src/features/ui/store/hotkeysSlice.ts
+++ b/invokeai/frontend/web/src/features/ui/store/hotkeysSlice.ts
@@ -3,10 +3,14 @@ import { createSlice } from '@reduxjs/toolkit';
 
 type HotkeysState = {
   shift: boolean;
+  ctrl: boolean;
+  meta: boolean;
 };
 
 export const initialHotkeysState: HotkeysState = {
   shift: false,
+  ctrl: false,
+  meta: false,
 };
 
 export const hotkeysSlice = createSlice({
@@ -16,9 +20,16 @@ export const hotkeysSlice = createSlice({
     shiftKeyPressed: (state, action: PayloadAction<boolean>) => {
       state.shift = action.payload;
     },
+    ctrlKeyPressed: (state, action: PayloadAction<boolean>) => {
+      state.ctrl = action.payload;
+    },
+    metaKeyPressed: (state, action: PayloadAction<boolean>) => {
+      state.meta = action.payload;
+    },
   },
 });
 
-export const { shiftKeyPressed } = hotkeysSlice.actions;
+export const { shiftKeyPressed, ctrlKeyPressed, metaKeyPressed } =
+  hotkeysSlice.actions;
 
 export default hotkeysSlice.reducer;
diff --git a/invokeai/frontend/web/src/services/api/constants.ts b/invokeai/frontend/web/src/services/api/constants.ts
index 8bf35d0198..9db6334965 100644
--- a/invokeai/frontend/web/src/services/api/constants.ts
+++ b/invokeai/frontend/web/src/services/api/constants.ts
@@ -13,4 +13,7 @@ export const NON_REFINER_BASE_MODELS: BaseModelType[] = [
   'sdxl',
 ];
 
+export const SDXL_MAIN_MODELS: BaseModelType[] = ['sdxl'];
+export const NON_SDXL_MAIN_MODELS: BaseModelType[] = ['sd-1', 'sd-2'];
+
 export const REFINER_BASE_MODELS: BaseModelType[] = ['sdxl-refiner'];
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 0bfa7c334f..4348a28fd0 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -312,7 +312,7 @@ export type components = {
       added_image_names: (string)[];
     };
     /**
-     * AddInvocation 
+     * Add Integers 
      * @description Adds two numbers
      */
     AddInvocation: {
@@ -332,7 +332,7 @@ export type components = {
        * @default add 
        * @enum {string}
        */
-      type?: "add";
+      type: "add";
       /**
        * A 
        * @description The first number 
@@ -549,7 +549,7 @@ export type components = {
       file: Blob;
     };
     /**
-     * CannyImageProcessorInvocation 
+     * Canny Processor 
      * @description Canny edge detection for ControlNet
      */
     CannyImageProcessorInvocation: {
@@ -569,7 +569,7 @@ export type components = {
        * @default canny_image_processor 
        * @enum {string}
        */
-      type?: "canny_image_processor";
+      type: "canny_image_processor";
       /**
        * Image 
        * @description The image to process
@@ -612,7 +612,7 @@ export type components = {
       loras: (components["schemas"]["LoraInfo"])[];
     };
     /**
-     * ClipSkipInvocation 
+     * CLIP Skip 
      * @description Skip layers in clip text_encoder model.
      */
     ClipSkipInvocation: {
@@ -632,15 +632,15 @@ export type components = {
        * @default clip_skip 
        * @enum {string}
        */
-      type?: "clip_skip";
+      type: "clip_skip";
       /**
-       * Clip 
-       * @description Clip to use
+       * CLIP 
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
       clip?: components["schemas"]["ClipField"];
       /**
        * Skipped Layers 
-       * @description Number of layers to skip in text_encoder 
+       * @description Number of layers to skip in text encoder 
        * @default 0
        */
       skipped_layers?: number;
@@ -657,8 +657,8 @@ export type components = {
        */
       type?: "clip_skip_output";
       /**
-       * Clip 
-       * @description Clip with skipped layers
+       * CLIP 
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
       clip?: components["schemas"]["ClipField"];
     };
@@ -683,9 +683,9 @@ export type components = {
        * @default collect 
        * @enum {string}
        */
-      type?: "collect";
+      type: "collect";
       /**
-       * Item 
+       * Collection Item 
        * @description The item to collect (all inputs must be of the same type)
        */
       item?: unknown;
@@ -705,7 +705,7 @@ export type components = {
        * @default collect_output 
        * @enum {string}
        */
-      type: "collect_output";
+      type?: "collect_output";
       /**
        * Collection 
        * @description The collection of input items
@@ -713,7 +713,7 @@ export type components = {
       collection: (unknown)[];
     };
     /**
-     * ColorCorrectInvocation 
+     * Color Correct 
      * @description Shifts the colors of a target image to match the reference image, optionally
      * using a mask to only color-correct certain regions of the target image.
      */
@@ -734,7 +734,7 @@ export type components = {
        * @default color_correct 
        * @enum {string}
        */
-      type?: "color_correct";
+      type: "color_correct";
       /**
        * Image 
        * @description The image to color-correct
@@ -781,7 +781,7 @@ export type components = {
       a: number;
     };
     /**
-     * CompelInvocation 
+     * Compel Prompt 
      * @description Parse prompt using compel package to conditioning.
      */
     CompelInvocation: {
@@ -801,16 +801,16 @@ export type components = {
        * @default compel 
        * @enum {string}
        */
-      type?: "compel";
+      type: "compel";
       /**
        * Prompt 
-       * @description Prompt 
+       * @description Prompt to be parsed by Compel to create a conditioning tensor 
        * @default
        */
       prompt?: string;
       /**
-       * Clip 
-       * @description Clip to use
+       * CLIP 
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
       clip?: components["schemas"]["ClipField"];
     };
@@ -827,9 +827,9 @@ export type components = {
       type?: "compel_output";
       /**
        * Conditioning 
-       * @description Conditioning
+       * @description Conditioning tensor
        */
-      conditioning?: components["schemas"]["ConditioningField"];
+      conditioning: components["schemas"]["ConditioningField"];
     };
     /** ConditioningField */
     ConditioningField: {
@@ -840,7 +840,7 @@ export type components = {
       conditioning_name: string;
     };
     /**
-     * ContentShuffleImageProcessorInvocation 
+     * Content Shuffle Processor 
      * @description Applies content shuffle processing to image
      */
     ContentShuffleImageProcessorInvocation: {
@@ -860,7 +860,7 @@ export type components = {
        * @default content_shuffle_image_processor 
        * @enum {string}
        */
-      type?: "content_shuffle_image_processor";
+      type: "content_shuffle_image_processor";
       /**
        * Image 
        * @description The image to process
@@ -868,13 +868,13 @@ export type components = {
       image?: components["schemas"]["ImageField"];
       /**
        * Detect Resolution 
-       * @description The pixel resolution for detection 
+       * @description Pixel resolution for detection 
        * @default 512
        */
       detect_resolution?: number;
       /**
        * Image Resolution 
-       * @description The pixel resolution for the output image 
+       * @description Pixel resolution for output image 
        * @default 512
        */
       image_resolution?: number;
@@ -914,19 +914,19 @@ export type components = {
        * @description The weight given to the ControlNet 
        * @default 1
        */
-      control_weight: number | (number)[];
+      control_weight?: number | (number)[];
       /**
        * Begin Step Percent 
        * @description When the ControlNet is first applied (% of total steps) 
        * @default 0
        */
-      begin_step_percent: number;
+      begin_step_percent?: number;
       /**
        * End Step Percent 
        * @description When the ControlNet is last applied (% of total steps) 
        * @default 1
        */
-      end_step_percent: number;
+      end_step_percent?: number;
       /**
        * Control Mode 
        * @description The control mode to use 
@@ -943,7 +943,7 @@ export type components = {
       resize_mode?: "just_resize" | "crop_resize" | "fill_resize" | "just_resize_simple";
     };
     /**
-     * ControlNetInvocation 
+     * ControlNet 
      * @description Collects ControlNet info to pass to other nodes
      */
     ControlNetInvocation: {
@@ -963,7 +963,7 @@ export type components = {
        * @default controlnet 
        * @enum {string}
        */
-      type?: "controlnet";
+      type: "controlnet";
       /**
        * Image 
        * @description The control image
@@ -971,7 +971,7 @@ export type components = {
       image?: components["schemas"]["ImageField"];
       /**
        * Control Model 
-       * @description control model used 
+       * @description ControlNet model to load 
        * @default lllyasviel/sd-controlnet-canny
        */
       control_model?: components["schemas"]["ControlNetModelField"];
@@ -1078,9 +1078,9 @@ export type components = {
       type?: "control_output";
       /**
        * Control 
-       * @description The control info
+       * @description ControlNet(s) to apply
        */
-      control?: components["schemas"]["ControlField"];
+      control: components["schemas"]["ControlField"];
     };
     /**
      * CoreMetadata 
@@ -1090,7 +1090,7 @@ export type components = {
       /**
        * App Version 
        * @description The version of InvokeAI used to generate this image 
-       * @default 3.0.2
+       * @default 3.0.2post1
        */
       app_version?: string;
       /**
@@ -1225,7 +1225,7 @@ export type components = {
       refiner_start?: number;
     };
     /**
-     * CvInpaintInvocation 
+     * OpenCV Inpaint 
      * @description Simple inpaint using opencv.
      */
     CvInpaintInvocation: {
@@ -1245,7 +1245,7 @@ export type components = {
        * @default cv_inpaint 
        * @enum {string}
        */
-      type?: "cv_inpaint";
+      type: "cv_inpaint";
       /**
        * Image 
        * @description The image to inpaint
@@ -1281,7 +1281,7 @@ export type components = {
       deleted_images: (string)[];
     };
     /**
-     * DenoiseLatentsInvocation 
+     * Denoise Latents 
      * @description Denoises noisy latents to decodable images
      */
     DenoiseLatentsInvocation: {
@@ -1301,74 +1301,76 @@ export type components = {
        * @default denoise_latents 
        * @enum {string}
        */
-      type?: "denoise_latents";
-      /**
-       * Positive Conditioning 
-       * @description Positive conditioning for generation
-       */
-      positive_conditioning?: components["schemas"]["ConditioningField"];
-      /**
-       * Negative Conditioning 
-       * @description Negative conditioning for generation
-       */
-      negative_conditioning?: components["schemas"]["ConditioningField"];
+      type: "denoise_latents";
       /**
        * Noise 
-       * @description The noise to use
+       * @description Noise tensor
        */
       noise?: components["schemas"]["LatentsField"];
       /**
        * Steps 
-       * @description The number of steps to use to generate the image 
+       * @description Number of steps to run 
        * @default 10
        */
       steps?: number;
       /**
        * Cfg Scale 
-       * @description The Classifier-Free Guidance, higher values may result in a result closer to the prompt 
+       * @description Classifier-Free Guidance scale 
        * @default 7.5
        */
       cfg_scale?: number | (number)[];
       /**
        * Denoising Start 
+       * @description When to start denoising, expressed a percentage of total steps 
        * @default 0
        */
       denoising_start?: number;
       /**
        * Denoising End 
+       * @description When to stop denoising, expressed a percentage of total steps 
        * @default 1
        */
       denoising_end?: number;
       /**
        * Scheduler 
-       * @description The scheduler to use 
+       * @description Scheduler to use during inference 
        * @default euler 
        * @enum {string}
        */
       scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
-      /**
-       * Unet 
-       * @description UNet submodel
-       */
-      unet?: components["schemas"]["UNetField"];
       /**
        * Control 
-       * @description The control to use
+       * @description ControlNet(s) to apply
        */
       control?: components["schemas"]["ControlField"] | (components["schemas"]["ControlField"])[];
       /**
        * Latents 
-       * @description The latents to use as a base image
+       * @description Latents tensor
        */
       latents?: components["schemas"]["LatentsField"];
       /**
        * Mask 
-       * @description Mask
+       * @description The mask to use for the operation
        */
       mask?: components["schemas"]["ImageField"];
+      /**
+       * Positive Conditioning 
+       * @description Positive conditioning tensor
+       */
+      positive_conditioning?: components["schemas"]["ConditioningField"];
+      /**
+       * Negative Conditioning 
+       * @description Negative conditioning tensor
+       */
+      negative_conditioning?: components["schemas"]["ConditioningField"];
+      /**
+       * Unet 
+       * @description UNet (scheduler, LoRAs)
+       */
+      unet?: components["schemas"]["UNetField"];
     };
     /**
-     * DivideInvocation 
+     * Divide Integers 
      * @description Divides two numbers
      */
     DivideInvocation: {
@@ -1388,7 +1390,7 @@ export type components = {
        * @default div 
        * @enum {string}
        */
-      type?: "div";
+      type: "div";
       /**
        * A 
        * @description The first number 
@@ -1403,7 +1405,7 @@ export type components = {
       b?: number;
     };
     /**
-     * DynamicPromptInvocation 
+     * Dynamic Prompt 
      * @description Parses a prompt using adieyal/dynamicprompts' random or combinatorial generator
      */
     DynamicPromptInvocation: {
@@ -1423,12 +1425,12 @@ export type components = {
        * @default dynamic_prompt 
        * @enum {string}
        */
-      type?: "dynamic_prompt";
+      type: "dynamic_prompt";
       /**
        * Prompt 
        * @description The prompt to parse with dynamicprompts
        */
-      prompt: string;
+      prompt?: string;
       /**
        * Max Prompts 
        * @description The number of prompts to generate 
@@ -1443,7 +1445,7 @@ export type components = {
       combinatorial?: boolean;
     };
     /**
-     * ESRGANInvocation 
+     * Upscale (RealESRGAN) 
      * @description Upscales an image using RealESRGAN.
      */
     ESRGANInvocation: {
@@ -1463,7 +1465,7 @@ export type components = {
        * @default esrgan 
        * @enum {string}
        */
-      type?: "esrgan";
+      type: "esrgan";
       /**
        * Image 
        * @description The input image
@@ -1510,10 +1512,10 @@ export type components = {
     FloatCollectionOutput: {
       /**
        * Type 
-       * @default float_collection 
+       * @default float_collection_output 
        * @enum {string}
        */
-      type?: "float_collection";
+      type?: "float_collection_output";
       /**
        * Collection 
        * @description The float collection 
@@ -1522,7 +1524,7 @@ export type components = {
       collection?: (number)[];
     };
     /**
-     * FloatLinearRangeInvocation 
+     * Float Range 
      * @description Creates a range
      */
     FloatLinearRangeInvocation: {
@@ -1542,7 +1544,7 @@ export type components = {
        * @default float_range 
        * @enum {string}
        */
-      type?: "float_range";
+      type: "float_range";
       /**
        * Start 
        * @description The first value of the range 
@@ -1574,10 +1576,10 @@ export type components = {
        */
       type?: "float_output";
       /**
-       * Param 
+       * A 
        * @description The output float
        */
-      param?: number;
+      a?: number;
     };
     /** Graph */
     Graph: {
@@ -1591,7 +1593,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
+        [key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
       };
       /**
        * Edges 
@@ -1634,7 +1636,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
+        [key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
       };
       /**
        * Errors 
@@ -1679,7 +1681,7 @@ export type components = {
        * @default graph 
        * @enum {string}
        */
-      type?: "graph";
+      type: "graph";
       /**
        * Graph 
        * @description The graph to run
@@ -1704,7 +1706,7 @@ export type components = {
       detail?: (components["schemas"]["ValidationError"])[];
     };
     /**
-     * HedImageProcessorInvocation 
+     * HED (softedge) Processor 
      * @description Applies HED edge detection to image
      */
     HedImageProcessorInvocation: {
@@ -1724,7 +1726,7 @@ export type components = {
        * @default hed_image_processor 
        * @enum {string}
        */
-      type?: "hed_image_processor";
+      type: "hed_image_processor";
       /**
        * Image 
        * @description The image to process
@@ -1732,25 +1734,25 @@ export type components = {
       image?: components["schemas"]["ImageField"];
       /**
        * Detect Resolution 
-       * @description The pixel resolution for detection 
+       * @description Pixel resolution for detection 
        * @default 512
        */
       detect_resolution?: number;
       /**
        * Image Resolution 
-       * @description The pixel resolution for the output image 
+       * @description Pixel resolution for output image 
        * @default 512
        */
       image_resolution?: number;
       /**
        * Scribble 
-       * @description Whether to use scribble mode 
+       * @description Whether or not to use scribble mode 
        * @default false
        */
       scribble?: boolean;
     };
     /**
-     * ImageBlurInvocation 
+     * Blur Image 
      * @description Blurs an image
      */
     ImageBlurInvocation: {
@@ -1770,7 +1772,7 @@ export type components = {
        * @default img_blur 
        * @enum {string}
        */
-      type?: "img_blur";
+      type: "img_blur";
       /**
        * Image 
        * @description The image to blur
@@ -1803,7 +1805,7 @@ export type components = {
      */
     ImageCategory: "general" | "mask" | "control" | "user" | "other";
     /**
-     * ImageChannelInvocation 
+     * Extract Image Channel 
      * @description Gets a channel from an image.
      */
     ImageChannelInvocation: {
@@ -1823,7 +1825,7 @@ export type components = {
        * @default img_chan 
        * @enum {string}
        */
-      type?: "img_chan";
+      type: "img_chan";
       /**
        * Image 
        * @description The image to get the channel from
@@ -1838,7 +1840,7 @@ export type components = {
       channel?: "A" | "R" | "G" | "B";
     };
     /**
-     * ImageCollectionInvocation 
+     * Image Collection 
      * @description Load a collection of images and provide it as output.
      */
     ImageCollectionInvocation: {
@@ -1858,7 +1860,7 @@ export type components = {
        * @default image_collection 
        * @enum {string}
        */
-      type?: "image_collection";
+      type: "image_collection";
       /**
        * Images 
        * @description The image collection to load 
@@ -1873,19 +1875,19 @@ export type components = {
     ImageCollectionOutput: {
       /**
        * Type 
-       * @default image_collection 
+       * @default image_collection_output 
        * @enum {string}
        */
-      type: "image_collection";
+      type?: "image_collection_output";
       /**
        * Collection 
        * @description The output images 
        * @default []
        */
-      collection: (components["schemas"]["ImageField"])[];
+      collection?: (components["schemas"]["ImageField"])[];
     };
     /**
-     * ImageConvertInvocation 
+     * Convert Image Mode 
      * @description Converts an image to a different mode.
      */
     ImageConvertInvocation: {
@@ -1905,7 +1907,7 @@ export type components = {
        * @default img_conv 
        * @enum {string}
        */
-      type?: "img_conv";
+      type: "img_conv";
       /**
        * Image 
        * @description The image to convert
@@ -1920,7 +1922,7 @@ export type components = {
       mode?: "L" | "RGB" | "RGBA" | "CMYK" | "YCbCr" | "LAB" | "HSV" | "I" | "F";
     };
     /**
-     * ImageCropInvocation 
+     * Crop Image 
      * @description Crops an image to a specified box. The box can be outside of the image.
      */
     ImageCropInvocation: {
@@ -1940,7 +1942,7 @@ export type components = {
        * @default img_crop 
        * @enum {string}
        */
-      type?: "img_crop";
+      type: "img_crop";
       /**
        * Image 
        * @description The image to crop
@@ -2053,7 +2055,7 @@ export type components = {
       image_name: string;
     };
     /**
-     * ImageHueAdjustmentInvocation 
+     * Image Hue Adjustment 
      * @description Adjusts the Hue of an image.
      */
     ImageHueAdjustmentInvocation: {
@@ -2073,7 +2075,7 @@ export type components = {
        * @default img_hue_adjust 
        * @enum {string}
        */
-      type?: "img_hue_adjust";
+      type: "img_hue_adjust";
       /**
        * Image 
        * @description The image to adjust
@@ -2087,7 +2089,7 @@ export type components = {
       hue?: number;
     };
     /**
-     * ImageInverseLerpInvocation 
+     * Inverse Lerp Image 
      * @description Inverse linear interpolation of all pixels of an image
      */
     ImageInverseLerpInvocation: {
@@ -2107,7 +2109,7 @@ export type components = {
        * @default img_ilerp 
        * @enum {string}
        */
-      type?: "img_ilerp";
+      type: "img_ilerp";
       /**
        * Image 
        * @description The image to lerp
@@ -2127,7 +2129,7 @@ export type components = {
       max?: number;
     };
     /**
-     * ImageLerpInvocation 
+     * Lerp Image 
      * @description Linear interpolation of all pixels of an image
      */
     ImageLerpInvocation: {
@@ -2147,7 +2149,7 @@ export type components = {
        * @default img_lerp 
        * @enum {string}
        */
-      type?: "img_lerp";
+      type: "img_lerp";
       /**
        * Image 
        * @description The image to lerp
@@ -2167,7 +2169,7 @@ export type components = {
       max?: number;
     };
     /**
-     * ImageLuminosityAdjustmentInvocation 
+     * Image Luminosity Adjustment 
      * @description Adjusts the Luminosity (Value) of an image.
      */
     ImageLuminosityAdjustmentInvocation: {
@@ -2187,7 +2189,7 @@ export type components = {
        * @default img_luminosity_adjust 
        * @enum {string}
        */
-      type?: "img_luminosity_adjust";
+      type: "img_luminosity_adjust";
       /**
        * Image 
        * @description The image to adjust
@@ -2217,7 +2219,7 @@ export type components = {
       graph?: Record<string, never>;
     };
     /**
-     * ImageMultiplyInvocation 
+     * Multiply Images 
      * @description Multiplies two images together using `PIL.ImageChops.multiply()`.
      */
     ImageMultiplyInvocation: {
@@ -2237,7 +2239,7 @@ export type components = {
        * @default img_mul 
        * @enum {string}
        */
-      type?: "img_mul";
+      type: "img_mul";
       /**
        * Image1 
        * @description The first image to multiply
@@ -2250,7 +2252,7 @@ export type components = {
       image2?: components["schemas"]["ImageField"];
     };
     /**
-     * ImageNSFWBlurInvocation 
+     * Blur NSFW Image 
      * @description Add blur to NSFW-flagged images
      */
     ImageNSFWBlurInvocation: {
@@ -2270,17 +2272,17 @@ export type components = {
        * @default img_nsfw 
        * @enum {string}
        */
-      type?: "img_nsfw";
+      type: "img_nsfw";
+      /**
+       * Metadata 
+       * @description Optional core metadata to be written to image
+       */
+      metadata?: components["schemas"]["CoreMetadata"];
       /**
        * Image 
        * @description The image to check
        */
       image?: components["schemas"]["ImageField"];
-      /**
-       * Metadata 
-       * @description Optional core metadata to be written to the image
-       */
-      metadata?: components["schemas"]["CoreMetadata"];
     };
     /**
      * ImageOutput 
@@ -2310,7 +2312,7 @@ export type components = {
       height: number;
     };
     /**
-     * ImagePasteInvocation 
+     * Paste Image 
      * @description Pastes an image into another image.
      */
     ImagePasteInvocation: {
@@ -2330,7 +2332,7 @@ export type components = {
        * @default img_paste 
        * @enum {string}
        */
-      type?: "img_paste";
+      type: "img_paste";
       /**
        * Base Image 
        * @description The base image
@@ -2380,7 +2382,7 @@ export type components = {
        * @default image_processor 
        * @enum {string}
        */
-      type?: "image_processor";
+      type: "image_processor";
       /**
        * Image 
        * @description The image to process
@@ -2411,7 +2413,7 @@ export type components = {
       is_intermediate?: boolean;
     };
     /**
-     * ImageResizeInvocation 
+     * Resize Image 
      * @description Resizes an image to specific dimensions
      */
     ImageResizeInvocation: {
@@ -2431,7 +2433,7 @@ export type components = {
        * @default img_resize 
        * @enum {string}
        */
-      type?: "img_resize";
+      type: "img_resize";
       /**
        * Image 
        * @description The image to resize
@@ -2439,12 +2441,14 @@ export type components = {
       image?: components["schemas"]["ImageField"];
       /**
        * Width 
-       * @description The width to resize to (px)
+       * @description The width to resize to (px) 
+       * @default 512
        */
       width?: number;
       /**
        * Height 
-       * @description The height to resize to (px)
+       * @description The height to resize to (px) 
+       * @default 512
        */
       height?: number;
       /**
@@ -2456,7 +2460,7 @@ export type components = {
       resample_mode?: "nearest" | "box" | "bilinear" | "hamming" | "bicubic" | "lanczos";
     };
     /**
-     * ImageSaturationAdjustmentInvocation 
+     * Image Saturation Adjustment 
      * @description Adjusts the Saturation of an image.
      */
     ImageSaturationAdjustmentInvocation: {
@@ -2476,7 +2480,7 @@ export type components = {
        * @default img_saturation_adjust 
        * @enum {string}
        */
-      type?: "img_saturation_adjust";
+      type: "img_saturation_adjust";
       /**
        * Image 
        * @description The image to adjust
@@ -2490,7 +2494,7 @@ export type components = {
       saturation?: number;
     };
     /**
-     * ImageScaleInvocation 
+     * Scale Image 
      * @description Scales an image by a factor
      */
     ImageScaleInvocation: {
@@ -2510,7 +2514,7 @@ export type components = {
        * @default img_scale 
        * @enum {string}
        */
-      type?: "img_scale";
+      type: "img_scale";
       /**
        * Image 
        * @description The image to scale
@@ -2531,7 +2535,7 @@ export type components = {
       resample_mode?: "nearest" | "box" | "bilinear" | "hamming" | "bicubic" | "lanczos";
     };
     /**
-     * ImageToLatentsInvocation 
+     * Image to Latents 
      * @description Encodes an image into latents.
      */
     ImageToLatentsInvocation: {
@@ -2551,7 +2555,7 @@ export type components = {
        * @default i2l 
        * @enum {string}
        */
-      type?: "i2l";
+      type: "i2l";
       /**
        * Image 
        * @description The image to encode
@@ -2559,18 +2563,18 @@ export type components = {
       image?: components["schemas"]["ImageField"];
       /**
        * Vae 
-       * @description Vae submodel
+       * @description VAE
        */
       vae?: components["schemas"]["VaeField"];
       /**
        * Tiled 
-       * @description Encode latents by overlaping tiles(less memory consumption) 
+       * @description Processing using overlapping tiles (reduce memory consumption) 
        * @default false
        */
       tiled?: boolean;
       /**
        * Fp32 
-       * @description Decode in full precision 
+       * @description Whether or not to use full float32 precision 
        * @default false
        */
       fp32?: boolean;
@@ -2597,7 +2601,7 @@ export type components = {
       thumbnail_url: string;
     };
     /**
-     * ImageWatermarkInvocation 
+     * Add Invisible Watermark 
      * @description Add an invisible watermark to an image
      */
     ImageWatermarkInvocation: {
@@ -2617,7 +2621,7 @@ export type components = {
        * @default img_watermark 
        * @enum {string}
        */
-      type?: "img_watermark";
+      type: "img_watermark";
       /**
        * Image 
        * @description The image to check
@@ -2631,12 +2635,12 @@ export type components = {
       text?: string;
       /**
        * Metadata 
-       * @description Optional core metadata to be written to the image
+       * @description Optional core metadata to be written to image
        */
       metadata?: components["schemas"]["CoreMetadata"];
     };
     /**
-     * InfillColorInvocation 
+     * Solid Color Infill 
      * @description Infills transparent areas of an image with a solid color
      */
     InfillColorInvocation: {
@@ -2656,7 +2660,7 @@ export type components = {
        * @default infill_rgba 
        * @enum {string}
        */
-      type?: "infill_rgba";
+      type: "infill_rgba";
       /**
        * Image 
        * @description The image to infill
@@ -2675,7 +2679,7 @@ export type components = {
       color?: components["schemas"]["ColorField"];
     };
     /**
-     * InfillPatchMatchInvocation 
+     * PatchMatch Infill 
      * @description Infills transparent areas of an image using the PatchMatch algorithm
      */
     InfillPatchMatchInvocation: {
@@ -2695,7 +2699,7 @@ export type components = {
        * @default infill_patchmatch 
        * @enum {string}
        */
-      type?: "infill_patchmatch";
+      type: "infill_patchmatch";
       /**
        * Image 
        * @description The image to infill
@@ -2703,7 +2707,7 @@ export type components = {
       image?: components["schemas"]["ImageField"];
     };
     /**
-     * InfillTileInvocation 
+     * Tile Infill 
      * @description Infills transparent areas of an image with tiles of the image
      */
     InfillTileInvocation: {
@@ -2723,7 +2727,7 @@ export type components = {
        * @default infill_tile 
        * @enum {string}
        */
-      type?: "infill_tile";
+      type: "infill_tile";
       /**
        * Image 
        * @description The image to infill
@@ -2748,10 +2752,10 @@ export type components = {
     IntCollectionOutput: {
       /**
        * Type 
-       * @default int_collection 
+       * @default int_collection_output 
        * @enum {string}
        */
-      type?: "int_collection";
+      type?: "int_collection_output";
       /**
        * Collection 
        * @description The int collection 
@@ -2797,7 +2801,7 @@ export type components = {
        * @default iterate 
        * @enum {string}
        */
-      type?: "iterate";
+      type: "iterate";
       /**
        * Collection 
        * @description The list of items to iterate over
@@ -2820,12 +2824,12 @@ export type components = {
        * @default iterate_output 
        * @enum {string}
        */
-      type: "iterate_output";
+      type?: "iterate_output";
       /**
-       * Item 
+       * Collection Item 
        * @description The item being iterated over
        */
-      item: unknown;
+      item?: unknown;
     };
     /**
      * LatentsField 
@@ -2856,22 +2860,22 @@ export type components = {
       type?: "latents_output";
       /**
        * Latents 
-       * @description The output latents
+       * @description Latents tensor
        */
-      latents?: components["schemas"]["LatentsField"];
+      latents: components["schemas"]["LatentsField"];
       /**
        * Width 
-       * @description The width of the latents in pixels
+       * @description Width of output (px)
        */
       width: number;
       /**
        * Height 
-       * @description The height of the latents in pixels
+       * @description Height of output (px)
        */
       height: number;
     };
     /**
-     * LatentsToImageInvocation 
+     * Latents to Image 
      * @description Generates an image from latents.
      */
     LatentsToImageInvocation: {
@@ -2891,37 +2895,37 @@ export type components = {
        * @default l2i 
        * @enum {string}
        */
-      type?: "l2i";
-      /**
-       * Latents 
-       * @description The latents to generate an image from
-       */
-      latents?: components["schemas"]["LatentsField"];
-      /**
-       * Vae 
-       * @description Vae submodel
-       */
-      vae?: components["schemas"]["VaeField"];
+      type: "l2i";
       /**
        * Tiled 
-       * @description Decode latents by overlaping tiles (less memory consumption) 
+       * @description Processing using overlapping tiles (reduce memory consumption) 
        * @default false
        */
       tiled?: boolean;
       /**
        * Fp32 
-       * @description Decode in full precision 
+       * @description Whether or not to use full float32 precision 
        * @default false
        */
       fp32?: boolean;
       /**
        * Metadata 
-       * @description Optional core metadata to be written to the image
+       * @description Optional core metadata to be written to image
        */
       metadata?: components["schemas"]["CoreMetadata"];
+      /**
+       * Latents 
+       * @description Latents tensor
+       */
+      latents?: components["schemas"]["LatentsField"];
+      /**
+       * Vae 
+       * @description VAE
+       */
+      vae?: components["schemas"]["VaeField"];
     };
     /**
-     * LeresImageProcessorInvocation 
+     * Leres (Depth) Processor 
      * @description Applies leres processing to image
      */
     LeresImageProcessorInvocation: {
@@ -2941,7 +2945,7 @@ export type components = {
        * @default leres_image_processor 
        * @enum {string}
        */
-      type?: "leres_image_processor";
+      type: "leres_image_processor";
       /**
        * Image 
        * @description The image to process
@@ -2967,19 +2971,19 @@ export type components = {
       boost?: boolean;
       /**
        * Detect Resolution 
-       * @description The pixel resolution for detection 
+       * @description Pixel resolution for detection 
        * @default 512
        */
       detect_resolution?: number;
       /**
        * Image Resolution 
-       * @description The pixel resolution for the output image 
+       * @description Pixel resolution for output image 
        * @default 512
        */
       image_resolution?: number;
     };
     /**
-     * LineartAnimeImageProcessorInvocation 
+     * Lineart Anime Processor 
      * @description Applies line art anime processing to image
      */
     LineartAnimeImageProcessorInvocation: {
@@ -2999,7 +3003,7 @@ export type components = {
        * @default lineart_anime_image_processor 
        * @enum {string}
        */
-      type?: "lineart_anime_image_processor";
+      type: "lineart_anime_image_processor";
       /**
        * Image 
        * @description The image to process
@@ -3007,19 +3011,19 @@ export type components = {
       image?: components["schemas"]["ImageField"];
       /**
        * Detect Resolution 
-       * @description The pixel resolution for detection 
+       * @description Pixel resolution for detection 
        * @default 512
        */
       detect_resolution?: number;
       /**
        * Image Resolution 
-       * @description The pixel resolution for the output image 
+       * @description Pixel resolution for output image 
        * @default 512
        */
       image_resolution?: number;
     };
     /**
-     * LineartImageProcessorInvocation 
+     * Lineart Processor 
      * @description Applies line art processing to image
      */
     LineartImageProcessorInvocation: {
@@ -3039,7 +3043,7 @@ export type components = {
        * @default lineart_image_processor 
        * @enum {string}
        */
-      type?: "lineart_image_processor";
+      type: "lineart_image_processor";
       /**
        * Image 
        * @description The image to process
@@ -3047,13 +3051,13 @@ export type components = {
       image?: components["schemas"]["ImageField"];
       /**
        * Detect Resolution 
-       * @description The pixel resolution for detection 
+       * @description Pixel resolution for detection 
        * @default 512
        */
       detect_resolution?: number;
       /**
        * Image Resolution 
-       * @description The pixel resolution for the output image 
+       * @description Pixel resolution for output image 
        * @default 512
        */
       image_resolution?: number;
@@ -3117,7 +3121,7 @@ export type components = {
      */
     LoRAModelFormat: "lycoris" | "diffusers";
     /**
-     * LoadImageInvocation 
+     * Load Image 
      * @description Load an image and provide it as output.
      */
     LoadImageInvocation: {
@@ -3137,7 +3141,7 @@ export type components = {
        * @default load_image 
        * @enum {string}
        */
-      type?: "load_image";
+      type: "load_image";
       /**
        * Image 
        * @description The image to load
@@ -3170,7 +3174,7 @@ export type components = {
       weight: number;
     };
     /**
-     * LoraLoaderInvocation 
+     * LoRA Loader 
      * @description Apply selected lora to unet and text_encoder.
      */
     LoraLoaderInvocation: {
@@ -3190,26 +3194,26 @@ export type components = {
        * @default lora_loader 
        * @enum {string}
        */
-      type?: "lora_loader";
+      type: "lora_loader";
       /**
-       * Lora 
-       * @description Lora model name
+       * LoRA 
+       * @description LoRA model to load
        */
-      lora?: components["schemas"]["LoRAModelField"];
+      lora: components["schemas"]["LoRAModelField"];
       /**
        * Weight 
-       * @description With what weight to apply lora 
+       * @description The weight at which the LoRA is applied to each model 
        * @default 0.75
        */
       weight?: number;
       /**
-       * Unet 
-       * @description UNet model for applying lora
+       * UNet 
+       * @description UNet (scheduler, LoRAs)
        */
       unet?: components["schemas"]["UNetField"];
       /**
-       * Clip 
-       * @description Clip model for applying lora
+       * CLIP 
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
       clip?: components["schemas"]["ClipField"];
     };
@@ -3225,13 +3229,13 @@ export type components = {
        */
       type?: "lora_loader_output";
       /**
-       * Unet 
-       * @description UNet submodel
+       * UNet 
+       * @description UNet (scheduler, LoRAs)
        */
       unet?: components["schemas"]["UNetField"];
       /**
-       * Clip 
-       * @description Tokenizer and text_encoder submodels
+       * CLIP 
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
       clip?: components["schemas"]["ClipField"];
     };
@@ -3251,7 +3255,7 @@ export type components = {
       model_type: components["schemas"]["ModelType"];
     };
     /**
-     * MainModelLoaderInvocation 
+     * Main Model Loader 
      * @description Loads a main model, outputting its submodels.
      */
     MainModelLoaderInvocation: {
@@ -3271,15 +3275,15 @@ export type components = {
        * @default main_model_loader 
        * @enum {string}
        */
-      type?: "main_model_loader";
+      type: "main_model_loader";
       /**
        * Model 
-       * @description The model to load
+       * @description Main model (UNet, VAE, CLIP) to load
        */
       model: components["schemas"]["MainModelField"];
     };
     /**
-     * MaskCombineInvocation 
+     * Combine Mask 
      * @description Combine two masks together by multiplying them using `PIL.ImageChops.multiply()`.
      */
     MaskCombineInvocation: {
@@ -3299,7 +3303,7 @@ export type components = {
        * @default mask_combine 
        * @enum {string}
        */
-      type?: "mask_combine";
+      type: "mask_combine";
       /**
        * Mask1 
        * @description The first mask to combine
@@ -3312,7 +3316,7 @@ export type components = {
       mask2?: components["schemas"]["ImageField"];
     };
     /**
-     * MaskEdgeInvocation 
+     * Mask Edge 
      * @description Applies an edge mask to an image
      */
     MaskEdgeInvocation: {
@@ -3332,7 +3336,7 @@ export type components = {
        * @default mask_edge 
        * @enum {string}
        */
-      type?: "mask_edge";
+      type: "mask_edge";
       /**
        * Image 
        * @description The image to apply the mask to
@@ -3342,25 +3346,25 @@ export type components = {
        * Edge Size 
        * @description The size of the edge
        */
-      edge_size: number;
+      edge_size?: number;
       /**
        * Edge Blur 
        * @description The amount of blur on the edge
        */
-      edge_blur: number;
+      edge_blur?: number;
       /**
        * Low Threshold 
        * @description First threshold for the hysteresis procedure in Canny edge detection
        */
-      low_threshold: number;
+      low_threshold?: number;
       /**
        * High Threshold 
        * @description Second threshold for the hysteresis procedure in Canny edge detection
        */
-      high_threshold: number;
+      high_threshold?: number;
     };
     /**
-     * MaskFromAlphaInvocation 
+     * Mask from Alpha 
      * @description Extracts the alpha channel of an image as a mask.
      */
     MaskFromAlphaInvocation: {
@@ -3380,7 +3384,7 @@ export type components = {
        * @default tomask 
        * @enum {string}
        */
-      type?: "tomask";
+      type: "tomask";
       /**
        * Image 
        * @description The image to create the mask from
@@ -3421,7 +3425,7 @@ export type components = {
       height?: number;
     };
     /**
-     * MediapipeFaceProcessorInvocation 
+     * Mediapipe Face Processor 
      * @description Applies mediapipe face processing to image
      */
     MediapipeFaceProcessorInvocation: {
@@ -3441,7 +3445,7 @@ export type components = {
        * @default mediapipe_face_processor 
        * @enum {string}
        */
-      type?: "mediapipe_face_processor";
+      type: "mediapipe_face_processor";
       /**
        * Image 
        * @description The image to process
@@ -3467,7 +3471,7 @@ export type components = {
      */
     MergeInterpolationMethod: "weighted_sum" | "sigmoid" | "inv_sigmoid" | "add_difference";
     /**
-     * MetadataAccumulatorInvocation 
+     * Metadata Accumulator 
      * @description Outputs a Core Metadata Object
      */
     MetadataAccumulatorInvocation: {
@@ -3487,77 +3491,77 @@ export type components = {
        * @default metadata_accumulator 
        * @enum {string}
        */
-      type?: "metadata_accumulator";
+      type: "metadata_accumulator";
       /**
        * Generation Mode 
        * @description The generation mode that output this image
        */
-      generation_mode: string;
+      generation_mode?: string;
       /**
        * Positive Prompt 
        * @description The positive prompt parameter
        */
-      positive_prompt: string;
+      positive_prompt?: string;
       /**
        * Negative Prompt 
        * @description The negative prompt parameter
        */
-      negative_prompt: string;
+      negative_prompt?: string;
       /**
        * Width 
        * @description The width parameter
        */
-      width: number;
+      width?: number;
       /**
        * Height 
        * @description The height parameter
        */
-      height: number;
+      height?: number;
       /**
        * Seed 
        * @description The seed used for noise generation
        */
-      seed: number;
+      seed?: number;
       /**
        * Rand Device 
        * @description The device used for random number generation
        */
-      rand_device: string;
+      rand_device?: string;
       /**
        * Cfg Scale 
        * @description The classifier-free guidance scale parameter
        */
-      cfg_scale: number;
+      cfg_scale?: number;
       /**
        * Steps 
        * @description The number of steps used for inference
        */
-      steps: number;
+      steps?: number;
       /**
        * Scheduler 
        * @description The scheduler used for inference
        */
-      scheduler: string;
+      scheduler?: string;
       /**
        * Clip Skip 
        * @description The number of skipped CLIP layers
        */
-      clip_skip: number;
+      clip_skip?: number;
       /**
        * Model 
        * @description The main model used for inference
        */
-      model: components["schemas"]["MainModelField"];
+      model?: components["schemas"]["MainModelField"];
       /**
        * Controlnets 
        * @description The ControlNets used for inference
        */
-      controlnets: (components["schemas"]["ControlField"])[];
+      controlnets?: (components["schemas"]["ControlField"])[];
       /**
        * Loras 
        * @description The LoRAs used for inference
        */
-      loras: (components["schemas"]["LoRAMetadataField"])[];
+      loras?: (components["schemas"]["LoRAMetadataField"])[];
       /**
        * Strength 
        * @description The strength used for latents-to-latents
@@ -3604,15 +3608,15 @@ export type components = {
        */
       refiner_scheduler?: string;
       /**
-       * Refiner Positive Aesthetic Score 
+       * Refiner Positive Aesthetic Store 
        * @description The aesthetic score used for the refiner
        */
-      refiner_positive_aesthetic_score?: number;
+      refiner_positive_aesthetic_store?: number;
       /**
-       * Refiner Negative Aesthetic Score 
+       * Refiner Negative Aesthetic Store 
        * @description The aesthetic score used for the refiner
        */
-      refiner_negative_aesthetic_score?: number;
+      refiner_negative_aesthetic_store?: number;
       /**
        * Refiner Start 
        * @description The start value used for refiner denoising
@@ -3637,7 +3641,7 @@ export type components = {
       metadata: components["schemas"]["CoreMetadata"];
     };
     /**
-     * MidasDepthImageProcessorInvocation 
+     * Midas (Depth) Processor 
      * @description Applies Midas depth processing to image
      */
     MidasDepthImageProcessorInvocation: {
@@ -3657,7 +3661,7 @@ export type components = {
        * @default midas_depth_image_processor 
        * @enum {string}
        */
-      type?: "midas_depth_image_processor";
+      type: "midas_depth_image_processor";
       /**
        * Image 
        * @description The image to process
@@ -3677,7 +3681,7 @@ export type components = {
       bg_th?: number;
     };
     /**
-     * MlsdImageProcessorInvocation 
+     * MLSD Processor 
      * @description Applies MLSD processing to image
      */
     MlsdImageProcessorInvocation: {
@@ -3697,7 +3701,7 @@ export type components = {
        * @default mlsd_image_processor 
        * @enum {string}
        */
-      type?: "mlsd_image_processor";
+      type: "mlsd_image_processor";
       /**
        * Image 
        * @description The image to process
@@ -3705,13 +3709,13 @@ export type components = {
       image?: components["schemas"]["ImageField"];
       /**
        * Detect Resolution 
-       * @description The pixel resolution for detection 
+       * @description Pixel resolution for detection 
        * @default 512
        */
       detect_resolution?: number;
       /**
        * Image Resolution 
-       * @description The pixel resolution for the output image 
+       * @description Pixel resolution for output image 
        * @default 512
        */
       image_resolution?: number;
@@ -3760,20 +3764,20 @@ export type components = {
        */
       type?: "model_loader_output";
       /**
-       * Unet 
-       * @description UNet submodel
+       * UNet 
+       * @description UNet (scheduler, LoRAs)
        */
-      unet?: components["schemas"]["UNetField"];
+      unet: components["schemas"]["UNetField"];
       /**
-       * Clip 
-       * @description Tokenizer and text_encoder submodels
+       * CLIP 
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components["schemas"]["ClipField"];
+      clip: components["schemas"]["ClipField"];
       /**
-       * Vae 
-       * @description Vae submodel
+       * VAE 
+       * @description VAE
        */
-      vae?: components["schemas"]["VaeField"];
+      vae: components["schemas"]["VaeField"];
     };
     /**
      * ModelType 
@@ -3793,7 +3797,7 @@ export type components = {
       models: (components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[];
     };
     /**
-     * MultiplyInvocation 
+     * Multiply Integers 
      * @description Multiplies two numbers
      */
     MultiplyInvocation: {
@@ -3813,7 +3817,7 @@ export type components = {
        * @default mul 
        * @enum {string}
        */
-      type?: "mul";
+      type: "mul";
       /**
        * A 
        * @description The first number 
@@ -3828,7 +3832,7 @@ export type components = {
       b?: number;
     };
     /**
-     * NoiseInvocation 
+     * Noise 
      * @description Generates latent noise.
      */
     NoiseInvocation: {
@@ -3848,21 +3852,21 @@ export type components = {
        * @default noise 
        * @enum {string}
        */
-      type?: "noise";
+      type: "noise";
       /**
        * Seed 
-       * @description The seed to use
+       * @description Seed for random number generation
        */
       seed?: number;
       /**
        * Width 
-       * @description The width of the resulting noise 
+       * @description Width of output (px) 
        * @default 512
        */
       width?: number;
       /**
        * Height 
-       * @description The height of the resulting noise 
+       * @description Height of output (px) 
        * @default 512
        */
       height?: number;
@@ -3886,22 +3890,22 @@ export type components = {
       type?: "noise_output";
       /**
        * Noise 
-       * @description The output noise
+       * @description Noise tensor
        */
       noise?: components["schemas"]["LatentsField"];
       /**
        * Width 
-       * @description The width of the noise in pixels
+       * @description Width of output (px)
        */
       width: number;
       /**
        * Height 
-       * @description The height of the noise in pixels
+       * @description Height of output (px)
        */
       height: number;
     };
     /**
-     * NormalbaeImageProcessorInvocation 
+     * Normal BAE Processor 
      * @description Applies NormalBae processing to image
      */
     NormalbaeImageProcessorInvocation: {
@@ -3921,7 +3925,7 @@ export type components = {
        * @default normalbae_image_processor 
        * @enum {string}
        */
-      type?: "normalbae_image_processor";
+      type: "normalbae_image_processor";
       /**
        * Image 
        * @description The image to process
@@ -3929,19 +3933,19 @@ export type components = {
       image?: components["schemas"]["ImageField"];
       /**
        * Detect Resolution 
-       * @description The pixel resolution for detection 
+       * @description Pixel resolution for detection 
        * @default 512
        */
       detect_resolution?: number;
       /**
        * Image Resolution 
-       * @description The pixel resolution for the output image 
+       * @description Pixel resolution for output image 
        * @default 512
        */
       image_resolution?: number;
     };
     /**
-     * ONNXLatentsToImageInvocation 
+     * ONNX Latents to Image 
      * @description Generates an image from latents.
      */
     ONNXLatentsToImageInvocation: {
@@ -3961,20 +3965,20 @@ export type components = {
        * @default l2i_onnx 
        * @enum {string}
        */
-      type?: "l2i_onnx";
+      type: "l2i_onnx";
       /**
        * Latents 
-       * @description The latents to generate an image from
+       * @description Denoised latents tensor
        */
       latents?: components["schemas"]["LatentsField"];
       /**
        * Vae 
-       * @description Vae submodel
+       * @description VAE
        */
       vae?: components["schemas"]["VaeField"];
       /**
        * Metadata 
-       * @description Optional core metadata to be written to the image
+       * @description Optional core metadata to be written to image
        */
       metadata?: components["schemas"]["CoreMetadata"];
     };
@@ -3990,28 +3994,28 @@ export type components = {
        */
       type?: "model_loader_output_onnx";
       /**
-       * Unet 
-       * @description UNet submodel
+       * UNet 
+       * @description UNet (scheduler, LoRAs)
        */
       unet?: components["schemas"]["UNetField"];
       /**
-       * Clip 
-       * @description Tokenizer and text_encoder submodels
+       * CLIP 
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
       clip?: components["schemas"]["ClipField"];
       /**
-       * Vae Decoder 
-       * @description Vae submodel
+       * VAE Decoder 
+       * @description VAE
        */
       vae_decoder?: components["schemas"]["VaeField"];
       /**
-       * Vae Encoder 
-       * @description Vae submodel
+       * VAE Encoder 
+       * @description VAE
        */
       vae_encoder?: components["schemas"]["VaeField"];
     };
     /**
-     * ONNXPromptInvocation 
+     * ONNX Prompt (Raw) 
      * @description A node to process inputs and produce outputs.
      * May use dependency injection in __init__ to receive providers.
      */
@@ -4032,48 +4036,19 @@ export type components = {
        * @default prompt_onnx 
        * @enum {string}
        */
-      type?: "prompt_onnx";
+      type: "prompt_onnx";
       /**
        * Prompt 
-       * @description Prompt 
+       * @description Raw prompt text (no parsing) 
        * @default
        */
       prompt?: string;
       /**
        * Clip 
-       * @description Clip to use
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
       clip?: components["schemas"]["ClipField"];
     };
-    /**
-     * ONNXSD1ModelLoaderInvocation 
-     * @description Loading submodels of selected model.
-     */
-    ONNXSD1ModelLoaderInvocation: {
-      /**
-       * Id 
-       * @description The id of this node. Must be unique among all nodes.
-       */
-      id: string;
-      /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
-       * @default false
-       */
-      is_intermediate?: boolean;
-      /**
-       * Type 
-       * @default sd1_model_loader_onnx 
-       * @enum {string}
-       */
-      type?: "sd1_model_loader_onnx";
-      /**
-       * Model Name 
-       * @description Model to load 
-       * @default
-       */
-      model_name?: string;
-    };
     /** ONNXStableDiffusion1ModelConfig */
     ONNXStableDiffusion1ModelConfig: {
       /** Model Name */
@@ -4122,7 +4097,7 @@ export type components = {
       upcast_attention: boolean;
     };
     /**
-     * ONNXTextToLatentsInvocation 
+     * ONNX Text to Latents 
      * @description Generates latents from conditionings.
      */
     ONNXTextToLatentsInvocation: {
@@ -4142,56 +4117,56 @@ export type components = {
        * @default t2l_onnx 
        * @enum {string}
        */
-      type?: "t2l_onnx";
+      type: "t2l_onnx";
       /**
        * Positive Conditioning 
-       * @description Positive conditioning for generation
+       * @description Positive conditioning tensor
        */
       positive_conditioning?: components["schemas"]["ConditioningField"];
       /**
        * Negative Conditioning 
-       * @description Negative conditioning for generation
+       * @description Negative conditioning tensor
        */
       negative_conditioning?: components["schemas"]["ConditioningField"];
       /**
        * Noise 
-       * @description The noise to use
+       * @description Noise tensor
        */
       noise?: components["schemas"]["LatentsField"];
       /**
        * Steps 
-       * @description The number of steps to use to generate the image 
+       * @description Number of steps to run 
        * @default 10
        */
       steps?: number;
       /**
        * Cfg Scale 
-       * @description The Classifier-Free Guidance, higher values may result in a result closer to the prompt 
+       * @description Classifier-Free Guidance scale 
        * @default 7.5
        */
       cfg_scale?: number | (number)[];
       /**
        * Scheduler 
-       * @description The scheduler to use 
+       * @description Scheduler to use during inference 
        * @default euler 
        * @enum {string}
        */
       scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
       /**
        * Precision 
-       * @description The precision to use when generating latents 
+       * @description Precision to use 
        * @default tensor(float16) 
        * @enum {string}
        */
       precision?: "tensor(bool)" | "tensor(int8)" | "tensor(uint8)" | "tensor(int16)" | "tensor(uint16)" | "tensor(int32)" | "tensor(uint32)" | "tensor(int64)" | "tensor(uint64)" | "tensor(float16)" | "tensor(float)" | "tensor(double)";
       /**
        * Unet 
-       * @description UNet submodel
+       * @description UNet (scheduler, LoRAs)
        */
       unet?: components["schemas"]["UNetField"];
       /**
        * Control 
-       * @description The control to use
+       * @description ControlNet(s) to apply
        */
       control?: components["schemas"]["ControlField"] | (components["schemas"]["ControlField"])[];
     };
@@ -4263,7 +4238,7 @@ export type components = {
       model_type: components["schemas"]["ModelType"];
     };
     /**
-     * OnnxModelLoaderInvocation 
+     * ONNX Model Loader 
      * @description Loads a main model, outputting its submodels.
      */
     OnnxModelLoaderInvocation: {
@@ -4283,15 +4258,15 @@ export type components = {
        * @default onnx_model_loader 
        * @enum {string}
        */
-      type?: "onnx_model_loader";
+      type: "onnx_model_loader";
       /**
        * Model 
-       * @description The model to load
+       * @description ONNX Main model (UNet, VAE, CLIP) to load
        */
       model: components["schemas"]["OnnxModelField"];
     };
     /**
-     * OpenposeImageProcessorInvocation 
+     * Openpose Processor 
      * @description Applies Openpose processing to image
      */
     OpenposeImageProcessorInvocation: {
@@ -4311,7 +4286,7 @@ export type components = {
        * @default openpose_image_processor 
        * @enum {string}
        */
-      type?: "openpose_image_processor";
+      type: "openpose_image_processor";
       /**
        * Image 
        * @description The image to process
@@ -4325,13 +4300,13 @@ export type components = {
       hand_and_face?: boolean;
       /**
        * Detect Resolution 
-       * @description The pixel resolution for detection 
+       * @description Pixel resolution for detection 
        * @default 512
        */
       detect_resolution?: number;
       /**
        * Image Resolution 
-       * @description The pixel resolution for the output image 
+       * @description Pixel resolution for output image 
        * @default 512
        */
       image_resolution?: number;
@@ -4368,7 +4343,7 @@ export type components = {
       total: number;
     };
     /**
-     * ParamFloatInvocation 
+     * Float Parameter 
      * @description A float parameter
      */
     ParamFloatInvocation: {
@@ -4388,7 +4363,7 @@ export type components = {
        * @default param_float 
        * @enum {string}
        */
-      type?: "param_float";
+      type: "param_float";
       /**
        * Param 
        * @description The float value 
@@ -4397,7 +4372,7 @@ export type components = {
       param?: number;
     };
     /**
-     * ParamIntInvocation 
+     * Integer Parameter 
      * @description An integer parameter
      */
     ParamIntInvocation: {
@@ -4417,7 +4392,7 @@ export type components = {
        * @default param_int 
        * @enum {string}
        */
-      type?: "param_int";
+      type: "param_int";
       /**
        * A 
        * @description The integer value 
@@ -4426,7 +4401,7 @@ export type components = {
       a?: number;
     };
     /**
-     * ParamPromptInvocation 
+     * Prompt Parameter 
      * @description A prompt input parameter
      */
     ParamPromptInvocation: {
@@ -4446,7 +4421,7 @@ export type components = {
        * @default param_prompt 
        * @enum {string}
        */
-      type?: "param_prompt";
+      type: "param_prompt";
       /**
        * Prompt 
        * @description The prompt value 
@@ -4455,7 +4430,7 @@ export type components = {
       prompt?: string;
     };
     /**
-     * ParamStringInvocation 
+     * String Parameter 
      * @description A string parameter
      */
     ParamStringInvocation: {
@@ -4475,7 +4450,7 @@ export type components = {
        * @default param_string 
        * @enum {string}
        */
-      type?: "param_string";
+      type: "param_string";
       /**
        * Text 
        * @description The string value 
@@ -4484,7 +4459,7 @@ export type components = {
       text?: string;
     };
     /**
-     * PidiImageProcessorInvocation 
+     * PIDI Processor 
      * @description Applies PIDI processing to image
      */
     PidiImageProcessorInvocation: {
@@ -4504,7 +4479,7 @@ export type components = {
        * @default pidi_image_processor 
        * @enum {string}
        */
-      type?: "pidi_image_processor";
+      type: "pidi_image_processor";
       /**
        * Image 
        * @description The image to process
@@ -4512,25 +4487,25 @@ export type components = {
       image?: components["schemas"]["ImageField"];
       /**
        * Detect Resolution 
-       * @description The pixel resolution for detection 
+       * @description Pixel resolution for detection 
        * @default 512
        */
       detect_resolution?: number;
       /**
        * Image Resolution 
-       * @description The pixel resolution for the output image 
+       * @description Pixel resolution for output image 
        * @default 512
        */
       image_resolution?: number;
       /**
        * Safe 
-       * @description Whether to use safe mode 
+       * @description Whether or not to use safe mode 
        * @default false
        */
       safe?: boolean;
       /**
        * Scribble 
-       * @description Whether to use scribble mode 
+       * @description Whether or not to use scribble mode 
        * @default false
        */
       scribble?: boolean;
@@ -4545,7 +4520,7 @@ export type components = {
        * @default prompt_collection_output 
        * @enum {string}
        */
-      type: "prompt_collection_output";
+      type?: "prompt_collection_output";
       /**
        * Prompt Collection 
        * @description The output prompt collection
@@ -4567,7 +4542,7 @@ export type components = {
        * @default prompt 
        * @enum {string}
        */
-      type: "prompt";
+      type?: "prompt";
       /**
        * Prompt 
        * @description The output prompt
@@ -4575,7 +4550,7 @@ export type components = {
       prompt: string;
     };
     /**
-     * PromptsFromFileInvocation 
+     * Prompts from File 
      * @description Loads prompts from a text file
      */
     PromptsFromFileInvocation: {
@@ -4595,12 +4570,12 @@ export type components = {
        * @default prompt_from_file 
        * @enum {string}
        */
-      type?: "prompt_from_file";
+      type: "prompt_from_file";
       /**
        * File Path 
        * @description Path to prompt text file
        */
-      file_path: string;
+      file_path?: string;
       /**
        * Pre Prompt 
        * @description String to prepend to each prompt
@@ -4625,7 +4600,7 @@ export type components = {
       max_prompts?: number;
     };
     /**
-     * RandomIntInvocation 
+     * Random Integer 
      * @description Outputs a single random integer.
      */
     RandomIntInvocation: {
@@ -4645,7 +4620,7 @@ export type components = {
        * @default rand_int 
        * @enum {string}
        */
-      type?: "rand_int";
+      type: "rand_int";
       /**
        * Low 
        * @description The inclusive low value 
@@ -4660,7 +4635,7 @@ export type components = {
       high?: number;
     };
     /**
-     * RandomRangeInvocation 
+     * Random Range 
      * @description Creates a collection of random numbers
      */
     RandomRangeInvocation: {
@@ -4680,7 +4655,7 @@ export type components = {
        * @default random_range 
        * @enum {string}
        */
-      type?: "random_range";
+      type: "random_range";
       /**
        * Low 
        * @description The inclusive low value 
@@ -4706,7 +4681,7 @@ export type components = {
       seed?: number;
     };
     /**
-     * RangeInvocation 
+     * Integer Range 
      * @description Creates a range of numbers from start to stop with step
      */
     RangeInvocation: {
@@ -4726,7 +4701,7 @@ export type components = {
        * @default range 
        * @enum {string}
        */
-      type?: "range";
+      type: "range";
       /**
        * Start 
        * @description The start of the range 
@@ -4747,7 +4722,7 @@ export type components = {
       step?: number;
     };
     /**
-     * RangeOfSizeInvocation 
+     * Integer Range of Size 
      * @description Creates a range from start to start + size with step
      */
     RangeOfSizeInvocation: {
@@ -4767,7 +4742,7 @@ export type components = {
        * @default range_of_size 
        * @enum {string}
        */
-      type?: "range_of_size";
+      type: "range_of_size";
       /**
        * Start 
        * @description The start of the range 
@@ -4796,7 +4771,7 @@ export type components = {
       removed_image_names: (string)[];
     };
     /**
-     * ResizeLatentsInvocation 
+     * Resize Latents 
      * @description Resizes latents to explicit width/height (in pixels). Provided dimensions are floor-divided by 8.
      */
     ResizeLatentsInvocation: {
@@ -4816,34 +4791,32 @@ export type components = {
        * @default lresize 
        * @enum {string}
        */
-      type?: "lresize";
+      type: "lresize";
       /**
        * Latents 
-       * @description The latents to resize
+       * @description Latents tensor
        */
       latents?: components["schemas"]["LatentsField"];
       /**
        * Width 
-       * @description The width to resize to (px) 
-       * @default 512
+       * @description Width of output (px)
        */
       width?: number;
       /**
        * Height 
-       * @description The height to resize to (px) 
-       * @default 512
+       * @description Width of output (px)
        */
       height?: number;
       /**
        * Mode 
-       * @description The interpolation mode 
+       * @description Interpolation mode 
        * @default bilinear 
        * @enum {string}
        */
       mode?: "nearest" | "linear" | "bilinear" | "bicubic" | "trilinear" | "area" | "nearest-exact";
       /**
        * Antialias 
-       * @description Whether or not to antialias (applied in bilinear and bicubic modes only) 
+       * @description Whether or not to apply antialiasing (bilinear or bicubic only) 
        * @default false
        */
       antialias?: boolean;
@@ -4859,7 +4832,7 @@ export type components = {
      */
     ResourceOrigin: "internal" | "external";
     /**
-     * SDXLCompelPromptInvocation 
+     * SDXL Compel Prompt 
      * @description Parse prompt using compel package to conditioning.
      */
     SDXLCompelPromptInvocation: {
@@ -4879,16 +4852,16 @@ export type components = {
        * @default sdxl_compel_prompt 
        * @enum {string}
        */
-      type?: "sdxl_compel_prompt";
+      type: "sdxl_compel_prompt";
       /**
        * Prompt 
-       * @description Prompt 
+       * @description Prompt to be parsed by Compel to create a conditioning tensor 
        * @default
        */
       prompt?: string;
       /**
        * Style 
-       * @description Style prompt 
+       * @description Prompt to be parsed by Compel to create a conditioning tensor 
        * @default
        */
       style?: string;
@@ -4924,17 +4897,17 @@ export type components = {
       target_height?: number;
       /**
        * Clip 
-       * @description Clip to use
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
       clip?: components["schemas"]["ClipField"];
       /**
        * Clip2 
-       * @description Clip2 to use
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
       clip2?: components["schemas"]["ClipField"];
     };
     /**
-     * SDXLLoraLoaderInvocation 
+     * SDXL LoRA Loader 
      * @description Apply selected lora to unet and text_encoder.
      */
     SDXLLoraLoaderInvocation: {
@@ -4954,37 +4927,37 @@ export type components = {
        * @default sdxl_lora_loader 
        * @enum {string}
        */
-      type?: "sdxl_lora_loader";
+      type: "sdxl_lora_loader";
       /**
-       * Lora 
-       * @description Lora model name
+       * LoRA 
+       * @description LoRA model to load
        */
-      lora?: components["schemas"]["LoRAModelField"];
+      lora: components["schemas"]["LoRAModelField"];
       /**
        * Weight 
-       * @description With what weight to apply lora 
+       * @description The weight at which the LoRA is applied to each model 
        * @default 0.75
        */
       weight?: number;
       /**
-       * Unet 
-       * @description UNet model for applying lora
+       * UNET 
+       * @description UNet (scheduler, LoRAs)
        */
       unet?: components["schemas"]["UNetField"];
       /**
-       * Clip 
-       * @description Clip model for applying lora
+       * CLIP 1 
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
       clip?: components["schemas"]["ClipField"];
       /**
-       * Clip2 
-       * @description Clip2 model for applying lora
+       * CLIP 2 
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
       clip2?: components["schemas"]["ClipField"];
     };
     /**
      * SDXLLoraLoaderOutput 
-     * @description Model loader output
+     * @description SDXL LoRA Loader Output
      */
     SDXLLoraLoaderOutput: {
       /**
@@ -4994,23 +4967,23 @@ export type components = {
        */
       type?: "sdxl_lora_loader_output";
       /**
-       * Unet 
-       * @description UNet submodel
+       * UNet 
+       * @description UNet (scheduler, LoRAs)
        */
       unet?: components["schemas"]["UNetField"];
       /**
-       * Clip 
-       * @description Tokenizer and text_encoder submodels
+       * CLIP 1 
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
       clip?: components["schemas"]["ClipField"];
       /**
-       * Clip2 
-       * @description Tokenizer2 and text_encoder2 submodels
+       * CLIP 2 
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
       clip2?: components["schemas"]["ClipField"];
     };
     /**
-     * SDXLModelLoaderInvocation 
+     * SDXL Main Model Loader 
      * @description Loads an sdxl base model, outputting its submodels.
      */
     SDXLModelLoaderInvocation: {
@@ -5030,10 +5003,10 @@ export type components = {
        * @default sdxl_model_loader 
        * @enum {string}
        */
-      type?: "sdxl_model_loader";
+      type: "sdxl_model_loader";
       /**
        * Model 
-       * @description The model to load
+       * @description SDXL Main model (UNet, VAE, CLIP1, CLIP2) to load
        */
       model: components["schemas"]["MainModelField"];
     };
@@ -5049,28 +5022,28 @@ export type components = {
        */
       type?: "sdxl_model_loader_output";
       /**
-       * Unet 
-       * @description UNet submodel
+       * UNet 
+       * @description UNet (scheduler, LoRAs)
        */
-      unet?: components["schemas"]["UNetField"];
+      unet: components["schemas"]["UNetField"];
       /**
-       * Clip 
-       * @description Tokenizer and text_encoder submodels
+       * CLIP 1 
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components["schemas"]["ClipField"];
+      clip: components["schemas"]["ClipField"];
       /**
-       * Clip2 
-       * @description Tokenizer and text_encoder submodels
+       * CLIP 2 
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip2?: components["schemas"]["ClipField"];
+      clip2: components["schemas"]["ClipField"];
       /**
-       * Vae 
-       * @description Vae submodel
+       * VAE 
+       * @description VAE
        */
-      vae?: components["schemas"]["VaeField"];
+      vae: components["schemas"]["VaeField"];
     };
     /**
-     * SDXLRefinerCompelPromptInvocation 
+     * SDXL Refiner Compel Prompt 
      * @description Parse prompt using compel package to conditioning.
      */
     SDXLRefinerCompelPromptInvocation: {
@@ -5090,10 +5063,10 @@ export type components = {
        * @default sdxl_refiner_compel_prompt 
        * @enum {string}
        */
-      type?: "sdxl_refiner_compel_prompt";
+      type: "sdxl_refiner_compel_prompt";
       /**
        * Style 
-       * @description Style prompt 
+       * @description Prompt to be parsed by Compel to create a conditioning tensor 
        * @default
        */
       style?: string;
@@ -5119,17 +5092,18 @@ export type components = {
       crop_left?: number;
       /**
        * Aesthetic Score 
+       * @description The aesthetic score to apply to the conditioning tensor 
        * @default 6
        */
       aesthetic_score?: number;
       /**
        * Clip2 
-       * @description Clip to use
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
       clip2?: components["schemas"]["ClipField"];
     };
     /**
-     * SDXLRefinerModelLoaderInvocation 
+     * SDXL Refiner Model Loader 
      * @description Loads an sdxl refiner model, outputting its submodels.
      */
     SDXLRefinerModelLoaderInvocation: {
@@ -5149,10 +5123,10 @@ export type components = {
        * @default sdxl_refiner_model_loader 
        * @enum {string}
        */
-      type?: "sdxl_refiner_model_loader";
+      type: "sdxl_refiner_model_loader";
       /**
        * Model 
-       * @description The model to load
+       * @description SDXL Refiner Main Modde (UNet, VAE, CLIP2) to load
        */
       model: components["schemas"]["MainModelField"];
     };
@@ -5168,23 +5142,23 @@ export type components = {
        */
       type?: "sdxl_refiner_model_loader_output";
       /**
-       * Unet 
-       * @description UNet submodel
+       * UNet 
+       * @description UNet (scheduler, LoRAs)
        */
-      unet?: components["schemas"]["UNetField"];
+      unet: components["schemas"]["UNetField"];
       /**
-       * Clip2 
-       * @description Tokenizer and text_encoder submodels
+       * CLIP 2 
+       * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip2?: components["schemas"]["ClipField"];
+      clip2: components["schemas"]["ClipField"];
       /**
-       * Vae 
-       * @description Vae submodel
+       * VAE 
+       * @description VAE
        */
-      vae?: components["schemas"]["VaeField"];
+      vae: components["schemas"]["VaeField"];
     };
     /**
-     * ScaleLatentsInvocation 
+     * Scale Latents 
      * @description Scales latents by a given factor.
      */
     ScaleLatentsInvocation: {
@@ -5204,27 +5178,27 @@ export type components = {
        * @default lscale 
        * @enum {string}
        */
-      type?: "lscale";
+      type: "lscale";
       /**
        * Latents 
-       * @description The latents to scale
+       * @description Latents tensor
        */
       latents?: components["schemas"]["LatentsField"];
       /**
        * Scale Factor 
-       * @description The factor by which to scale the latents
+       * @description The factor by which to scale
        */
-      scale_factor: number;
+      scale_factor?: number;
       /**
        * Mode 
-       * @description The interpolation mode 
+       * @description Interpolation mode 
        * @default bilinear 
        * @enum {string}
        */
       mode?: "nearest" | "linear" | "bilinear" | "bicubic" | "trilinear" | "area" | "nearest-exact";
       /**
        * Antialias 
-       * @description Whether or not to antialias (applied in bilinear and bicubic modes only) 
+       * @description Whether or not to apply antialiasing (bilinear or bicubic only) 
        * @default false
        */
       antialias?: boolean;
@@ -5236,7 +5210,7 @@ export type components = {
      */
     SchedulerPredictionType: "epsilon" | "v_prediction" | "sample";
     /**
-     * SegmentAnythingProcessorInvocation 
+     * Segment Anything Processor 
      * @description Applies segment anything processing to image
      */
     SegmentAnythingProcessorInvocation: {
@@ -5256,7 +5230,7 @@ export type components = {
        * @default segment_anything_processor 
        * @enum {string}
        */
-      type?: "segment_anything_processor";
+      type: "segment_anything_processor";
       /**
        * Image 
        * @description The image to process
@@ -5264,7 +5238,7 @@ export type components = {
       image?: components["schemas"]["ImageField"];
     };
     /**
-     * ShowImageInvocation 
+     * Show Image 
      * @description Displays a provided image, and passes it forward in the pipeline.
      */
     ShowImageInvocation: {
@@ -5284,7 +5258,7 @@ export type components = {
        * @default show_image 
        * @enum {string}
        */
-      type?: "show_image";
+      type: "show_image";
       /**
        * Image 
        * @description The image to show
@@ -5442,7 +5416,7 @@ export type components = {
       variant: components["schemas"]["ModelVariantType"];
     };
     /**
-     * StepParamEasingInvocation 
+     * Step Param Easing 
      * @description Experimental per-step parameter easing for denoising steps
      */
     StepParamEasingInvocation: {
@@ -5462,7 +5436,7 @@ export type components = {
        * @default step_param_easing 
        * @enum {string}
        */
-      type?: "step_param_easing";
+      type: "step_param_easing";
       /**
        * Easing 
        * @description The easing function to use 
@@ -5523,6 +5497,24 @@ export type components = {
        */
       show_easing_plot?: boolean;
     };
+    /**
+     * StringCollectionOutput 
+     * @description A collection of strings
+     */
+    StringCollectionOutput: {
+      /**
+       * Type 
+       * @default string_collection_output 
+       * @enum {string}
+       */
+      type?: "string_collection_output";
+      /**
+       * Collection 
+       * @description The output strings 
+       * @default []
+       */
+      collection?: (string)[];
+    };
     /**
      * StringOutput 
      * @description A string output
@@ -5538,7 +5530,7 @@ export type components = {
        * Text 
        * @description The output string
        */
-      text?: string;
+      text: string;
     };
     /**
      * SubModelType 
@@ -5547,7 +5539,7 @@ export type components = {
      */
     SubModelType: "unet" | "text_encoder" | "text_encoder_2" | "tokenizer" | "tokenizer_2" | "vae" | "vae_decoder" | "vae_encoder" | "scheduler" | "safety_checker";
     /**
-     * SubtractInvocation 
+     * Subtract Integers 
      * @description Subtracts two numbers
      */
     SubtractInvocation: {
@@ -5567,7 +5559,7 @@ export type components = {
        * @default sub 
        * @enum {string}
        */
-      type?: "sub";
+      type: "sub";
       /**
        * A 
        * @description The first number 
@@ -5600,8 +5592,8 @@ export type components = {
       error?: components["schemas"]["ModelError"];
     };
     /**
-     * TileResamplerProcessorInvocation 
-     * @description Base class for invocations that preprocess images for ControlNet
+     * Tile Resample Processor 
+     * @description Tile resampler processor
      */
     TileResamplerProcessorInvocation: {
       /**
@@ -5620,7 +5612,7 @@ export type components = {
        * @default tile_image_processor 
        * @enum {string}
        */
-      type?: "tile_image_processor";
+      type: "tile_image_processor";
       /**
        * Image 
        * @description The image to process
@@ -5686,7 +5678,7 @@ export type components = {
       vae: components["schemas"]["ModelInfo"];
     };
     /**
-     * VaeLoaderInvocation 
+     * VAE Loader 
      * @description Loads a VAE model, outputting a VaeLoaderOutput
      */
     VaeLoaderInvocation: {
@@ -5706,10 +5698,10 @@ export type components = {
        * @default vae_loader 
        * @enum {string}
        */
-      type?: "vae_loader";
+      type: "vae_loader";
       /**
-       * Vae Model 
-       * @description The VAE to load
+       * VAE 
+       * @description VAE model to load
        */
       vae_model: components["schemas"]["VAEModelField"];
     };
@@ -5725,10 +5717,10 @@ export type components = {
        */
       type?: "vae_loader_output";
       /**
-       * Vae 
-       * @description Vae model
+       * VAE 
+       * @description VAE
        */
-      vae?: components["schemas"]["VaeField"];
+      vae: components["schemas"]["VaeField"];
     };
     /** VaeModelConfig */
     VaeModelConfig: {
@@ -5763,7 +5755,7 @@ export type components = {
       type: string;
     };
     /**
-     * ZoeDepthImageProcessorInvocation 
+     * Zoe (Depth) Processor 
      * @description Applies Zoe depth processing to image
      */
     ZoeDepthImageProcessorInvocation: {
@@ -5783,7 +5775,7 @@ export type components = {
        * @default zoe_depth_image_processor 
        * @enum {string}
        */
-      type?: "zoe_depth_image_processor";
+      type: "zoe_depth_image_processor";
       /**
        * Image 
        * @description The image to process
@@ -5791,17 +5783,71 @@ export type components = {
       image?: components["schemas"]["ImageField"];
     };
     /**
-     * ControlNetModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
+     * UIConfigBase 
+     * @description Provides additional node configuration to the UI.
+     * This is used internally by the @tags and @title decorator logic. You probably want to use those
+     * decorators, though you may add this class to a node definition to specify the title and tags.
      */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
+    UIConfigBase: {
+      /**
+       * Tags 
+       * @description The tags to display in the UI
+       */
+      tags?: (string)[];
+      /**
+       * Title 
+       * @description The display name of the node
+       */
+      title?: string;
+    };
     /**
-     * StableDiffusion2ModelFormat 
-     * @description An enumeration. 
+     * Input 
+     * @description The type of input a field accepts.
+     * - `Input.Direct`: The field must have its value provided directly, when the invocation and field       are instantiated.
+     * - `Input.Connection`: The field must have its value provided by a connection.
+     * - `Input.Any`: The field may have its value provided either directly or by a connection. 
      * @enum {string}
      */
-    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
+    Input: "connection" | "direct" | "any";
+    /**
+     * UITypeHint 
+     * @description Type hints for the UI.
+     * If a field should be provided a data type that does not exactly match the python type of the field,     use this to provide the type that should be used instead. See the node development docs for detail     on adding a new field type, which involves client-side changes. 
+     * @enum {string}
+     */
+    UITypeHint: "integer" | "float" | "boolean" | "string" | "enum" | "array" | "ImageField" | "LatentsField" | "ConditioningField" | "ControlField" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "UNetField" | "VaeField" | "ClipField" | "ColorField" | "ImageCollection" | "IntegerCollection" | "FloatCollection" | "StringCollection" | "BooleanCollection" | "Collection" | "CollectionItem" | "Seed" | "FilePath";
+    /**
+     * UIComponent 
+     * @description The type of UI component to use for a field, used to override the default components, which are     inferred from the field type. 
+     * @enum {string}
+     */
+    UIComponent: "none" | "textarea" | "slider";
+    /**
+     * _InputField 
+     * @description *DO NOT USE*
+     * This helper class is used to tell the client about our custom field attributes via OpenAPI
+     * schema generation, and Typescript type generation from that schema. It serves no functional
+     * purpose in the backend.
+     */
+    _InputField: {
+      input: components["schemas"]["Input"];
+      /** Ui Hidden */
+      ui_hidden: boolean;
+      ui_type_hint?: components["schemas"]["UITypeHint"];
+      ui_component?: components["schemas"]["UIComponent"];
+    };
+    /**
+     * _OutputField 
+     * @description *DO NOT USE*
+     * This helper class is used to tell the client about our custom field attributes via OpenAPI
+     * schema generation, and Typescript type generation from that schema. It serves no functional
+     * purpose in the backend.
+     */
+    _OutputField: {
+      /** Ui Hidden */
+      ui_hidden: boolean;
+      ui_type_hint?: components["schemas"]["UITypeHint"];
+    };
     /**
      * StableDiffusionXLModelFormat 
      * @description An enumeration. 
@@ -5820,6 +5866,18 @@ export type components = {
      * @enum {string}
      */
     StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * ControlNetModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    ControlNetModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusion2ModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -5930,7 +5988,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -5967,7 +6025,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["ONNXSD1ModelLoaderInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
diff --git a/invokeai/frontend/web/src/services/api/thunks/schema.ts b/invokeai/frontend/web/src/services/api/thunks/schema.ts
index 9b5748ae41..d296d824b1 100644
--- a/invokeai/frontend/web/src/services/api/thunks/schema.ts
+++ b/invokeai/frontend/web/src/services/api/thunks/schema.ts
@@ -1,5 +1,4 @@
 import { createAsyncThunk } from '@reduxjs/toolkit';
-import { logger } from 'app/logging/logger';
 
 function getCircularReplacer() {
   const ancestors: Record<string, any>[] = [];
@@ -23,14 +22,11 @@ function getCircularReplacer() {
 
 export const receivedOpenAPISchema = createAsyncThunk(
   'nodes/receivedOpenAPISchema',
-  async (_, { dispatch, rejectWithValue }) => {
-    const log = logger('system');
+  async (_, { rejectWithValue }) => {
     try {
       const response = await fetch(`openapi.json`);
       const openAPISchema = await response.json();
 
-      log.info({ openAPISchema }, 'Received OpenAPI schema');
-
       const schemaJSON = JSON.parse(
         JSON.stringify(openAPISchema, getCircularReplacer())
       );
diff --git a/invokeai/frontend/web/src/services/api/types.ts b/invokeai/frontend/web/src/services/api/types.ts
index 435b605489..338f8d2849 100644
--- a/invokeai/frontend/web/src/services/api/types.ts
+++ b/invokeai/frontend/web/src/services/api/types.ts
@@ -1,8 +1,9 @@
 import { UseToastOptions } from '@chakra-ui/react';
 import { EntityState } from '@reduxjs/toolkit';
-import { O } from 'ts-toolbelt';
 import { components, paths } from './schema';
 
+type s = components['schemas'];
+
 export type ImageCache = EntityState<ImageDTO>;
 
 export type ListImagesArgs = NonNullable<
@@ -25,70 +26,63 @@ export type UpdateBoardArg =
  * This is an unsafe type; the object inside is not guaranteed to be valid.
  */
 export type UnsafeImageMetadata = {
-  metadata: components['schemas']['CoreMetadata'];
-  graph: NonNullable<components['schemas']['Graph']>;
+  metadata: s['CoreMetadata'];
+  graph: NonNullable<s['Graph']>;
 };
 
-/**
- * Marks the `type` property as required. Use for nodes.
- */
-type TypeReq<T extends object> = O.Required<T, 'type'>;
-
-// Extracted types from API schema
+export type _InputField = s['_InputField'];
+export type _OutputField = s['_OutputField'];
 
 // App Info
-export type AppVersion = components['schemas']['AppVersion'];
-export type AppConfig = components['schemas']['AppConfig'];
+export type AppVersion = s['AppVersion'];
+export type AppConfig = s['AppConfig'];
 
 // Images
-export type ImageDTO = components['schemas']['ImageDTO'];
-export type BoardDTO = components['schemas']['BoardDTO'];
-export type BoardChanges = components['schemas']['BoardChanges'];
-export type ImageChanges = components['schemas']['ImageRecordChanges'];
-export type ImageCategory = components['schemas']['ImageCategory'];
-export type ResourceOrigin = components['schemas']['ResourceOrigin'];
-export type ImageField = components['schemas']['ImageField'];
-export type ImageMetadata = components['schemas']['ImageMetadata'];
+export type ImageDTO = s['ImageDTO'];
+export type BoardDTO = s['BoardDTO'];
+export type BoardChanges = s['BoardChanges'];
+export type ImageChanges = s['ImageRecordChanges'];
+export type ImageCategory = s['ImageCategory'];
+export type ResourceOrigin = s['ResourceOrigin'];
+export type ImageField = s['ImageField'];
+export type ImageMetadata = s['ImageMetadata'];
 export type OffsetPaginatedResults_BoardDTO_ =
-  components['schemas']['OffsetPaginatedResults_BoardDTO_'];
+  s['OffsetPaginatedResults_BoardDTO_'];
 export type OffsetPaginatedResults_ImageDTO_ =
-  components['schemas']['OffsetPaginatedResults_ImageDTO_'];
+  s['OffsetPaginatedResults_ImageDTO_'];
 
 // Models
-export type ModelType = components['schemas']['ModelType'];
-export type SubModelType = components['schemas']['SubModelType'];
-export type BaseModelType = components['schemas']['BaseModelType'];
-export type MainModelField = components['schemas']['MainModelField'];
-export type OnnxModelField = components['schemas']['OnnxModelField'];
-export type VAEModelField = components['schemas']['VAEModelField'];
-export type LoRAModelField = components['schemas']['LoRAModelField'];
-export type ControlNetModelField =
-  components['schemas']['ControlNetModelField'];
-export type ModelsList = components['schemas']['ModelsList'];
-export type ControlField = components['schemas']['ControlField'];
+export type ModelType = s['ModelType'];
+export type SubModelType = s['SubModelType'];
+export type BaseModelType = s['BaseModelType'];
+export type MainModelField = s['MainModelField'];
+export type OnnxModelField = s['OnnxModelField'];
+export type VAEModelField = s['VAEModelField'];
+export type LoRAModelField = s['LoRAModelField'];
+export type ControlNetModelField = s['ControlNetModelField'];
+export type ModelsList = s['ModelsList'];
+export type ControlField = s['ControlField'];
 
 // Model Configs
-export type LoRAModelConfig = components['schemas']['LoRAModelConfig'];
-export type VaeModelConfig = components['schemas']['VaeModelConfig'];
+export type LoRAModelConfig = s['LoRAModelConfig'];
+export type VaeModelConfig = s['VaeModelConfig'];
 export type ControlNetModelCheckpointConfig =
-  components['schemas']['ControlNetModelCheckpointConfig'];
+  s['ControlNetModelCheckpointConfig'];
 export type ControlNetModelDiffusersConfig =
-  components['schemas']['ControlNetModelDiffusersConfig'];
+  s['ControlNetModelDiffusersConfig'];
 export type ControlNetModelConfig =
   | ControlNetModelCheckpointConfig
   | ControlNetModelDiffusersConfig;
-export type TextualInversionModelConfig =
-  components['schemas']['TextualInversionModelConfig'];
+export type TextualInversionModelConfig = s['TextualInversionModelConfig'];
 export type DiffusersModelConfig =
-  | components['schemas']['StableDiffusion1ModelDiffusersConfig']
-  | components['schemas']['StableDiffusion2ModelDiffusersConfig']
-  | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
+  | s['StableDiffusion1ModelDiffusersConfig']
+  | s['StableDiffusion2ModelDiffusersConfig']
+  | s['StableDiffusionXLModelDiffusersConfig'];
 export type CheckpointModelConfig =
-  | components['schemas']['StableDiffusion1ModelCheckpointConfig']
-  | components['schemas']['StableDiffusion2ModelCheckpointConfig']
-  | components['schemas']['StableDiffusionXLModelCheckpointConfig'];
-export type OnnxModelConfig =
-  components['schemas']['ONNXStableDiffusion1ModelConfig'];
+  | s['StableDiffusion1ModelCheckpointConfig']
+  | s['StableDiffusion2ModelCheckpointConfig']
+  | s['StableDiffusionXLModelCheckpointConfig'];
+export type OnnxModelConfig = s['ONNXStableDiffusion1ModelConfig'];
 export type MainModelConfig = DiffusersModelConfig | CheckpointModelConfig;
 export type AnyModelConfig =
   | LoRAModelConfig
@@ -98,154 +92,75 @@ export type AnyModelConfig =
   | MainModelConfig
   | OnnxModelConfig;
 
-export type MergeModelConfig = components['schemas']['Body_merge_models'];
-export type ImportModelConfig = components['schemas']['Body_import_model'];
+export type MergeModelConfig = s['Body_merge_models'];
+export type ImportModelConfig = s['Body_import_model'];
 
 // Graphs
-export type Graph = components['schemas']['Graph'];
-export type Edge = components['schemas']['Edge'];
-export type GraphExecutionState = components['schemas']['GraphExecutionState'];
+export type Graph = s['Graph'];
+export type Edge = s['Edge'];
+export type GraphExecutionState = s['GraphExecutionState'];
 
 // General nodes
-export type CollectInvocation = TypeReq<
-  components['schemas']['CollectInvocation']
->;
-export type IterateInvocation = TypeReq<
-  components['schemas']['IterateInvocation']
->;
-export type RangeInvocation = TypeReq<components['schemas']['RangeInvocation']>;
-export type RandomRangeInvocation = TypeReq<
-  components['schemas']['RandomRangeInvocation']
->;
-export type RangeOfSizeInvocation = TypeReq<
-  components['schemas']['RangeOfSizeInvocation']
->;
-export type ImageResizeInvocation = TypeReq<
-  components['schemas']['ImageResizeInvocation']
->;
-export type ImageScaleInvocation = TypeReq<
-  components['schemas']['ImageScaleInvocation']
->;
-export type RandomIntInvocation = TypeReq<
-  components['schemas']['RandomIntInvocation']
->;
-export type CompelInvocation = TypeReq<
-  components['schemas']['CompelInvocation']
->;
-export type DynamicPromptInvocation = TypeReq<
-  components['schemas']['DynamicPromptInvocation']
->;
-export type NoiseInvocation = TypeReq<components['schemas']['NoiseInvocation']>;
-export type ONNXTextToLatentsInvocation = TypeReq<
-  components['schemas']['ONNXTextToLatentsInvocation']
->;
-export type DenoiseLatentsInvocation = TypeReq<
-  components['schemas']['DenoiseLatentsInvocation']
->;
-export type ImageToLatentsInvocation = TypeReq<
-  components['schemas']['ImageToLatentsInvocation']
->;
-export type LatentsToImageInvocation = TypeReq<
-  components['schemas']['LatentsToImageInvocation']
->;
-export type ImageCollectionInvocation = TypeReq<
-  components['schemas']['ImageCollectionInvocation']
->;
-export type MainModelLoaderInvocation = TypeReq<
-  components['schemas']['MainModelLoaderInvocation']
->;
-export type OnnxModelLoaderInvocation = TypeReq<
-  components['schemas']['OnnxModelLoaderInvocation']
->;
-export type LoraLoaderInvocation = TypeReq<
-  components['schemas']['LoraLoaderInvocation']
->;
-export type SDXLLoraLoaderInvocation = TypeReq<
-  components['schemas']['SDXLLoraLoaderInvocation']
->;
-export type MetadataAccumulatorInvocation = TypeReq<
-  components['schemas']['MetadataAccumulatorInvocation']
->;
-export type ESRGANInvocation = TypeReq<
-  components['schemas']['ESRGANInvocation']
->;
-export type DivideInvocation = TypeReq<
-  components['schemas']['DivideInvocation']
->;
-export type InfillTileInvocation = TypeReq<
-  components['schemas']['InfillTileInvocation']
->;
-export type InfillPatchmatchInvocation = TypeReq<
-  components['schemas']['InfillPatchMatchInvocation']
->;
-export type ImageNSFWBlurInvocation = TypeReq<
-  components['schemas']['ImageNSFWBlurInvocation']
->;
-export type ImageWatermarkInvocation = TypeReq<
-  components['schemas']['ImageWatermarkInvocation']
->;
-export type ImageBlurInvocation = TypeReq<
-  components['schemas']['ImageBlurInvocation']
->;
-export type ColorCorrectInvocation = TypeReq<
-  components['schemas']['ColorCorrectInvocation']
->;
-export type ImagePasteInvocation = TypeReq<
-  components['schemas']['ImagePasteInvocation']
->;
+export type CollectInvocation = s['CollectInvocation'];
+export type IterateInvocation = s['IterateInvocation'];
+export type RangeInvocation = s['RangeInvocation'];
+export type RandomRangeInvocation = s['RandomRangeInvocation'];
+export type RangeOfSizeInvocation = s['RangeOfSizeInvocation'];
+export type ImageResizeInvocation = s['ImageResizeInvocation'];
+export type ImageBlurInvocation = s['ImageBlurInvocation'];
+export type ImageScaleInvocation = s['ImageScaleInvocation'];
+export type InfillPatchMatchInvocation = s['InfillPatchMatchInvocation'];
+export type InfillTileInvocation = s['InfillTileInvocation'];
+export type RandomIntInvocation = s['RandomIntInvocation'];
+export type CompelInvocation = s['CompelInvocation'];
+export type DynamicPromptInvocation = s['DynamicPromptInvocation'];
+export type NoiseInvocation = s['NoiseInvocation'];
+export type DenoiseLatentsInvocation = s['DenoiseLatentsInvocation'];
+export type ONNXTextToLatentsInvocation = s['ONNXTextToLatentsInvocation'];
+export type SDXLLoraLoaderInvocation = s['SDXLLoraLoaderInvocation'];
+export type ImageToLatentsInvocation = s['ImageToLatentsInvocation'];
+export type LatentsToImageInvocation = s['LatentsToImageInvocation'];
+export type ImageCollectionInvocation = s['ImageCollectionInvocation'];
+export type MainModelLoaderInvocation = s['MainModelLoaderInvocation'];
+export type OnnxModelLoaderInvocation = s['OnnxModelLoaderInvocation'];
+export type LoraLoaderInvocation = s['LoraLoaderInvocation'];
+export type MetadataAccumulatorInvocation = s['MetadataAccumulatorInvocation'];
+export type ESRGANInvocation = s['ESRGANInvocation'];
+export type DivideInvocation = s['DivideInvocation'];
+export type ImageNSFWBlurInvocation = s['ImageNSFWBlurInvocation'];
+export type ImageWatermarkInvocation = s['ImageWatermarkInvocation'];
 
 // ControlNet Nodes
-export type ControlNetInvocation = TypeReq<
-  components['schemas']['ControlNetInvocation']
->;
-export type CannyImageProcessorInvocation = TypeReq<
-  components['schemas']['CannyImageProcessorInvocation']
->;
-export type ContentShuffleImageProcessorInvocation = TypeReq<
-  components['schemas']['ContentShuffleImageProcessorInvocation']
->;
-export type HedImageProcessorInvocation = TypeReq<
-  components['schemas']['HedImageProcessorInvocation']
->;
-export type LineartAnimeImageProcessorInvocation = TypeReq<
-  components['schemas']['LineartAnimeImageProcessorInvocation']
->;
-export type LineartImageProcessorInvocation = TypeReq<
-  components['schemas']['LineartImageProcessorInvocation']
->;
-export type MediapipeFaceProcessorInvocation = TypeReq<
-  components['schemas']['MediapipeFaceProcessorInvocation']
->;
-export type MidasDepthImageProcessorInvocation = TypeReq<
-  components['schemas']['MidasDepthImageProcessorInvocation']
->;
-export type MlsdImageProcessorInvocation = TypeReq<
-  components['schemas']['MlsdImageProcessorInvocation']
->;
-export type NormalbaeImageProcessorInvocation = TypeReq<
-  components['schemas']['NormalbaeImageProcessorInvocation']
->;
-export type OpenposeImageProcessorInvocation = TypeReq<
-  components['schemas']['OpenposeImageProcessorInvocation']
->;
-export type PidiImageProcessorInvocation = TypeReq<
-  components['schemas']['PidiImageProcessorInvocation']
->;
-export type ZoeDepthImageProcessorInvocation = TypeReq<
-  components['schemas']['ZoeDepthImageProcessorInvocation']
->;
+export type ControlNetInvocation = s['ControlNetInvocation'];
+export type CannyImageProcessorInvocation = s['CannyImageProcessorInvocation'];
+export type ContentShuffleImageProcessorInvocation =
+  s['ContentShuffleImageProcessorInvocation'];
+export type HedImageProcessorInvocation = s['HedImageProcessorInvocation'];
+export type LineartAnimeImageProcessorInvocation =
+  s['LineartAnimeImageProcessorInvocation'];
+export type LineartImageProcessorInvocation =
+  s['LineartImageProcessorInvocation'];
+export type MediapipeFaceProcessorInvocation =
+  s['MediapipeFaceProcessorInvocation'];
+export type MidasDepthImageProcessorInvocation =
+  s['MidasDepthImageProcessorInvocation'];
+export type MlsdImageProcessorInvocation = s['MlsdImageProcessorInvocation'];
+export type NormalbaeImageProcessorInvocation =
+  s['NormalbaeImageProcessorInvocation'];
+export type OpenposeImageProcessorInvocation =
+  s['OpenposeImageProcessorInvocation'];
+export type PidiImageProcessorInvocation = s['PidiImageProcessorInvocation'];
+export type ZoeDepthImageProcessorInvocation =
+  s['ZoeDepthImageProcessorInvocation'];
 
 // Node Outputs
-export type ImageOutput = components['schemas']['ImageOutput'];
-export type MaskOutput = components['schemas']['MaskOutput'];
-export type PromptOutput = components['schemas']['PromptOutput'];
-export type IterateInvocationOutput =
-  components['schemas']['IterateInvocationOutput'];
-export type CollectInvocationOutput =
-  components['schemas']['CollectInvocationOutput'];
-export type LatentsOutput = components['schemas']['LatentsOutput'];
-export type GraphInvocationOutput =
-  components['schemas']['GraphInvocationOutput'];
+export type ImageOutput = s['ImageOutput'];
+export type MaskOutput = s['MaskOutput'];
+export type PromptOutput = s['PromptOutput'];
+export type IterateInvocationOutput = s['IterateInvocationOutput'];
+export type CollectInvocationOutput = s['CollectInvocationOutput'];
+export type LatentsOutput = s['LatentsOutput'];
+export type GraphInvocationOutput = s['GraphInvocationOutput'];
 
 // Post-image upload actions, controls workflows when images are uploaded
 
@@ -284,3 +199,14 @@ export type PostUploadAction =
   | CanvasInitialImageAction
   | ToastAction
   | AddToBatchAction;
+
+type TypeGuard<T> = {
+  (input: unknown): input is T;
+};
+
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
+export type TypeGuardFor<T extends TypeGuard<any>> = T extends TypeGuard<
+  infer U
+>
+  ? U
+  : never;
diff --git a/invokeai/frontend/web/src/theme/components/checkbox.ts b/invokeai/frontend/web/src/theme/components/checkbox.ts
index 58871237e5..2a32bc2796 100644
--- a/invokeai/frontend/web/src/theme/components/checkbox.ts
+++ b/invokeai/frontend/web/src/theme/components/checkbox.ts
@@ -13,12 +13,12 @@ const invokeAIControl = defineStyle((props) => {
 
   return {
     bg: mode('base.200', 'base.700')(props),
-    borderColor: mode('base.200', 'base.700')(props),
+    borderColor: mode('base.300', 'base.600')(props),
     color: mode('base.900', 'base.100')(props),
 
     _checked: {
-      bg: mode(`${c}.300`, `${c}.600`)(props),
-      borderColor: mode(`${c}.300`, `${c}.600`)(props),
+      bg: mode(`${c}.300`, `${c}.500`)(props),
+      borderColor: mode(`${c}.300`, `${c}.500`)(props),
       color: mode(`${c}.900`, `${c}.100`)(props),
 
       _hover: {
@@ -45,7 +45,8 @@ const invokeAIControl = defineStyle((props) => {
     },
 
     _focusVisible: {
-      boxShadow: 'outline',
+      boxShadow: 'none',
+      outline: 'none',
     },
 
     _invalid: {
diff --git a/invokeai/frontend/web/src/theme/components/formLabel.ts b/invokeai/frontend/web/src/theme/components/formLabel.ts
index 866bb7beb1..922cbd555c 100644
--- a/invokeai/frontend/web/src/theme/components/formLabel.ts
+++ b/invokeai/frontend/web/src/theme/components/formLabel.ts
@@ -14,6 +14,9 @@ const invokeAI = defineStyle((props) => {
       opacity: 0.4,
     },
     color: mode('base.700', 'base.300')(props),
+    _invalid: {
+      color: mode('error.500', 'error.300')(props),
+    },
   };
 });
 
diff --git a/invokeai/frontend/web/src/theme/components/tabs.ts b/invokeai/frontend/web/src/theme/components/tabs.ts
index adcce73bbc..141c0410a7 100644
--- a/invokeai/frontend/web/src/theme/components/tabs.ts
+++ b/invokeai/frontend/web/src/theme/components/tabs.ts
@@ -8,16 +8,16 @@ import { mode } from '@chakra-ui/theme-tools';
 const { defineMultiStyleConfig, definePartsStyle } =
   createMultiStyleConfigHelpers(parts.keys);
 
-const invokeAIRoot = defineStyle((_props) => {
+const appTabsRoot = defineStyle((_props) => {
   return {
     display: 'flex',
     columnGap: 4,
   };
 });
 
-const invokeAITab = defineStyle((_props) => ({}));
+const appTabsTab = defineStyle((_props) => ({}));
 
-const invokeAITablist = defineStyle((props) => {
+const appTabsTablist = defineStyle((props) => {
   const { colorScheme: c } = props;
 
   return {
@@ -65,24 +65,49 @@ const invokeAITablist = defineStyle((props) => {
   };
 });
 
-const invokeAITabpanel = defineStyle((_props) => ({
+const appTabsTabpanel = defineStyle((_props) => ({
   padding: 0,
   height: '100%',
 }));
 
-const invokeAI = definePartsStyle((props) => ({
-  root: invokeAIRoot(props),
-  tab: invokeAITab(props),
-  tablist: invokeAITablist(props),
-  tabpanel: invokeAITabpanel(props),
+const appTabs = definePartsStyle((props) => ({
+  root: appTabsRoot(props),
+  tab: appTabsTab(props),
+  tablist: appTabsTablist(props),
+  tabpanel: appTabsTabpanel(props),
+}));
+
+const line = definePartsStyle((props) => ({
+  tab: {
+    borderTopRadius: 'base',
+    px: 4,
+    py: 1,
+    fontSize: 'sm',
+    color: mode('base.600', 'base.400')(props),
+    fontWeight: 500,
+    _selected: {
+      color: mode('accent.600', 'accent.400')(props),
+    },
+  },
+  tabpanel: {
+    p: 0,
+    pt: 4,
+    w: 'full',
+    h: 'full',
+  },
+  tabpanels: {
+    w: 'full',
+    h: 'full',
+  },
 }));
 
 export const tabsTheme = defineMultiStyleConfig({
   variants: {
-    invokeAI,
+    line,
+    appTabs,
   },
   defaultProps: {
-    variant: 'invokeAI',
+    variant: 'appTabs',
     colorScheme: 'accent',
   },
 });
diff --git a/invokeai/frontend/web/src/theme/components/textarea.ts b/invokeai/frontend/web/src/theme/components/textarea.ts
index 8dd59c18e0..c1a3da271a 100644
--- a/invokeai/frontend/web/src/theme/components/textarea.ts
+++ b/invokeai/frontend/web/src/theme/components/textarea.ts
@@ -40,6 +40,7 @@ const invokeAI = defineStyle((props) => ({
       },
     },
   },
+  p: 2,
 }));
 
 export const textareaTheme = defineStyleConfig({
diff --git a/invokeai/frontend/web/src/theme/custom/reactflow.ts b/invokeai/frontend/web/src/theme/custom/reactflow.ts
new file mode 100644
index 0000000000..bb8cc1f04c
--- /dev/null
+++ b/invokeai/frontend/web/src/theme/custom/reactflow.ts
@@ -0,0 +1,21 @@
+import { SystemStyleObject } from '@chakra-ui/styled-system';
+
+const selectionStyles: SystemStyleObject = {
+  backgroundColor: 'accentAlpha.150 !important',
+  borderColor: 'accentAlpha.700 !important',
+  borderRadius: 'base !important',
+  borderStyle: 'dashed !important',
+  _dark: {
+    borderColor: 'accent.400 !important',
+  },
+};
+
+export const reactflowStyles: SystemStyleObject = {
+  '.react-flow__nodesselection-rect': {
+    ...selectionStyles,
+    padding: '1rem !important',
+    boxSizing: 'content-box !important',
+    transform: 'translate(-1rem, -1rem) !important',
+  },
+  '.react-flow__selection': selectionStyles,
+};
diff --git a/invokeai/frontend/web/src/theme/theme.ts b/invokeai/frontend/web/src/theme/theme.ts
index afed8688ee..f602fcef1c 100644
--- a/invokeai/frontend/web/src/theme/theme.ts
+++ b/invokeai/frontend/web/src/theme/theme.ts
@@ -21,6 +21,7 @@ import { tabsTheme } from './components/tabs';
 import { textTheme } from './components/text';
 import { textareaTheme } from './components/textarea';
 import { tooltipTheme } from './components/tooltip';
+import { reactflowStyles } from './custom/reactflow';
 
 export const theme: ThemeOverride = {
   config: {
@@ -44,11 +45,27 @@ export const theme: ThemeOverride = {
       color: 'base.900',
       '.chakra-ui-dark &': { bg: 'base.800', color: 'base.100' },
     },
+    nodeBody: {
+      bg: 'base.100',
+      color: 'base.900',
+      '.chakra-ui-dark &': { bg: 'base.800', color: 'base.100' },
+    },
+    nodeHeader: {
+      bg: 'base.200',
+      color: 'base.900',
+      '.chakra-ui-dark &': { bg: 'base.700', color: 'base.100' },
+    },
+    nodeFooter: {
+      bg: 'base.200',
+      color: 'base.900',
+      '.chakra-ui-dark &': { bg: 'base.700', color: 'base.100' },
+    },
   },
   styles: {
     global: () => ({
       layerStyle: 'body',
       '*': { ...no_scrollbar },
+      ...reactflowStyles,
     }),
   },
   direction: 'ltr',
@@ -85,7 +102,10 @@ export const theme: ThemeOverride = {
         '0px 0px 0px 1px var(--invokeai-colors-base-150), 0px 0px 0px 3px var(--invokeai-colors-accent-500)',
       dark: '0px 0px 0px 1px var(--invokeai-colors-base-900), 0px 0px 0px 3px var(--invokeai-colors-accent-400)',
     },
-    nodeSelectedOutline: `0 0 0 2px var(--invokeai-colors-accent-450)`,
+    nodeSelectedOutline: {
+      light: `0 0 0 2px var(--invokeai-colors-accent-400)`,
+      dark: `0 0 0 2px var(--invokeai-colors-accent-500)`,
+    },
   },
   colors: InvokeAIColors,
   components: {

From c48fd9c0834a880b6943f594dab6ebfbdfc9b927 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 14 Aug 2023 19:41:29 +1000
Subject: [PATCH 230/287] feat(nodes): refactor parameter/primitive nodes

Refine concept of "parameter" nodes to "primitives":
- integer
- float
- string
- boolean
- image
- latents
- conditioning
- color

Each primitive has:
- A field definition, if it is not already python primitive value. The field is how this primitive value is passed between nodes. Collections are lists of the field in node definitions. ex: `ImageField` & `list[ImageField]`
- A single output class. ex: `ImageOutput`
- A collection output class. ex: `ImageCollectionOutput`
- A node, which functions to load or pass on the primitive value. ex: `ImageInvocation` (in this case, `ImageInvocation` replaces `LoadImage`)

Plus a number of related changes:
- Reorganize these into `primitives.py`
- Update all nodes and logic to use primitives
- Consolidate "prompt" outputs into "string" & "mask" into "image" (there's no reason for these to be different, the function identically)
- Update default graphs & tests
- Regen frontend types & minor frontend tidy related to changes
---
 invokeai/app/invocations/baseinvocation.py    |  47 +-
 invokeai/app/invocations/collections.py       |  69 +-
 invokeai/app/invocations/compel.py            |  31 +-
 .../controlnet_image_processors.py            |   6 +-
 invokeai/app/invocations/cv.py                |   4 +-
 invokeai/app/invocations/image.py             |  36 +-
 invokeai/app/invocations/infill.py            |   6 +-
 invokeai/app/invocations/latent.py            |  41 +-
 invokeai/app/invocations/math.py              |  45 +-
 invokeai/app/invocations/metadata.py          |   3 +-
 invokeai/app/invocations/model.py             |   2 +-
 invokeai/app/invocations/onnx.py              |  13 +-
 invokeai/app/invocations/param_easing.py      |   3 +-
 invokeai/app/invocations/params.py            |  81 ---
 invokeai/app/invocations/primitives.py        | 381 +++++++++++
 invokeai/app/invocations/prompt.py            |  56 +-
 invokeai/app/invocations/sdxl.py              |   4 +-
 invokeai/app/invocations/upscale.py           |   4 +-
 invokeai/app/models/image.py                  |  57 +-
 invokeai/app/services/default_graphs.py       |   8 +-
 .../frontend/web/src/services/api/guards.ts   |  10 -
 .../frontend/web/src/services/api/schema.d.ts | 638 +++++++++++-------
 .../frontend/web/src/services/api/types.ts    |   2 -
 tests/nodes/test_node_graph.py                |   6 +-
 24 files changed, 887 insertions(+), 666 deletions(-)
 delete mode 100644 invokeai/app/invocations/params.py
 create mode 100644 invokeai/app/invocations/primitives.py

diff --git a/invokeai/app/invocations/baseinvocation.py b/invokeai/app/invocations/baseinvocation.py
index 65aeef75d8..a02ce6fec8 100644
--- a/invokeai/app/invocations/baseinvocation.py
+++ b/invokeai/app/invocations/baseinvocation.py
@@ -98,36 +98,49 @@ class UITypeHint(str, Enum):
     on adding a new field type, which involves client-side changes.
     """
 
+    # region Primitives
     Integer = "integer"
     Float = "float"
     Boolean = "boolean"
     String = "string"
-    Enum = "enum"
     Array = "array"
-    ImageField = "ImageField"
-    LatentsField = "LatentsField"
-    ConditioningField = "ConditioningField"
-    ControlField = "ControlField"
-    MainModelField = "MainModelField"
-    SDXLMainModelField = "SDXLMainModelField"
-    SDXLRefinerModelField = "SDXLRefinerModelField"
-    ONNXModelField = "ONNXModelField"
-    VaeModelField = "VaeModelField"
-    LoRAModelField = "LoRAModelField"
-    ControlNetModelField = "ControlNetModelField"
-    UNetField = "UNetField"
-    VaeField = "VaeField"
-    ClipField = "ClipField"
-    ColorField = "ColorField"
+    Image = "ImageField"
+    Latents = "LatentsField"
+    Conditioning = "ConditioningField"
+    Control = "ControlField"
+    Color = "ColorField"
     ImageCollection = "ImageCollection"
+    ConditioningCollection = "ConditioningCollection"
+    ColorCollection = "ColorCollection"
+    LatentsCollection = "LatentsCollection"
     IntegerCollection = "IntegerCollection"
     FloatCollection = "FloatCollection"
     StringCollection = "StringCollection"
     BooleanCollection = "BooleanCollection"
+    # endregion
+
+    # region Models
+    MainModel = "MainModelField"
+    SDXLMainModel = "SDXLMainModelField"
+    SDXLRefinerModel = "SDXLRefinerModelField"
+    ONNXModel = "ONNXModelField"
+    VaeModel = "VaeModelField"
+    LoRAModel = "LoRAModelField"
+    ControlNetModel = "ControlNetModelField"
+    UNet = "UNetField"
+    Vae = "VaeField"
+    CLIP = "ClipField"
+    # endregion
+
+    # region Iterate/Collect
     Collection = "Collection"
     CollectionItem = "CollectionItem"
-    Seed = "Seed"
+    # endregion
+
+    # region Misc
     FilePath = "FilePath"
+    Enum = "enum"
+    # endregion
 
 
 class UIComponent(str, Enum):
diff --git a/invokeai/app/invocations/collections.py b/invokeai/app/invocations/collections.py
index 0dd3b757dc..d174b3882c 100644
--- a/invokeai/app/invocations/collections.py
+++ b/invokeai/app/invocations/collections.py
@@ -5,63 +5,10 @@ from typing import Literal
 import numpy as np
 from pydantic import validator
 
-from invokeai.app.models.image import ImageField
+from invokeai.app.invocations.primitives import ImageCollectionOutput, ImageField, IntegerCollectionOutput
 from invokeai.app.util.misc import SEED_MAX, get_random_seed
 
-from .baseinvocation import (
-    BaseInvocation,
-    BaseInvocationOutput,
-    InputField,
-    InvocationContext,
-    OutputField,
-    UITypeHint,
-    tags,
-    title,
-)
-
-
-class IntCollectionOutput(BaseInvocationOutput):
-    """A collection of integers"""
-
-    type: Literal["int_collection_output"] = "int_collection_output"
-
-    # Outputs
-    collection: list[int] = OutputField(
-        default=[], description="The int collection", ui_type_hint=UITypeHint.IntegerCollection
-    )
-
-
-class FloatCollectionOutput(BaseInvocationOutput):
-    """A collection of floats"""
-
-    type: Literal["float_collection_output"] = "float_collection_output"
-
-    # Outputs
-    collection: list[float] = OutputField(
-        default=[], description="The float collection", ui_type_hint=UITypeHint.FloatCollection
-    )
-
-
-class StringCollectionOutput(BaseInvocationOutput):
-    """A collection of strings"""
-
-    type: Literal["string_collection_output"] = "string_collection_output"
-
-    # Outputs
-    collection: list[str] = OutputField(
-        default=[], description="The output strings", ui_type_hint=UITypeHint.StringCollection
-    )
-
-
-class ImageCollectionOutput(BaseInvocationOutput):
-    """A collection of images"""
-
-    type: Literal["image_collection_output"] = "image_collection_output"
-
-    # Outputs
-    collection: list[ImageField] = OutputField(
-        default=[], description="The output images", ui_type_hint=UITypeHint.ImageCollection
-    )
+from .baseinvocation import BaseInvocation, InputField, InvocationContext, UITypeHint, tags, title
 
 
 @title("Integer Range")
@@ -82,8 +29,8 @@ class RangeInvocation(BaseInvocation):
             raise ValueError("stop must be greater than start")
         return v
 
-    def invoke(self, context: InvocationContext) -> IntCollectionOutput:
-        return IntCollectionOutput(collection=list(range(self.start, self.stop, self.step)))
+    def invoke(self, context: InvocationContext) -> IntegerCollectionOutput:
+        return IntegerCollectionOutput(collection=list(range(self.start, self.stop, self.step)))
 
 
 @title("Integer Range of Size")
@@ -98,8 +45,8 @@ class RangeOfSizeInvocation(BaseInvocation):
     size: int = InputField(default=1, description="The number of values")
     step: int = InputField(default=1, description="The step of the range")
 
-    def invoke(self, context: InvocationContext) -> IntCollectionOutput:
-        return IntCollectionOutput(collection=list(range(self.start, self.start + self.size, self.step)))
+    def invoke(self, context: InvocationContext) -> IntegerCollectionOutput:
+        return IntegerCollectionOutput(collection=list(range(self.start, self.start + self.size, self.step)))
 
 
 @title("Random Range")
@@ -120,9 +67,9 @@ class RandomRangeInvocation(BaseInvocation):
         default_factory=get_random_seed,
     )
 
-    def invoke(self, context: InvocationContext) -> IntCollectionOutput:
+    def invoke(self, context: InvocationContext) -> IntegerCollectionOutput:
         rng = np.random.default_rng(self.seed)
-        return IntCollectionOutput(collection=list(rng.integers(low=self.low, high=self.high, size=self.size)))
+        return IntegerCollectionOutput(collection=list(rng.integers(low=self.low, high=self.high, size=self.size)))
 
 
 @title("Image Collection")
diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index 0f7c61a6dd..0be33ce701 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -5,7 +5,7 @@ from typing import List, Literal, Union
 import torch
 from compel import Compel, ReturnedEmbeddingsType
 from compel.prompt_parser import Blend, Conjunction, CrossAttentionControlSubstitute, FlattenedPrompt, Fragment
-from pydantic import BaseModel, Field
+from invokeai.app.invocations.primitives import ConditioningField, ConditioningOutput
 
 from invokeai.backend.stable_diffusion.diffusion.shared_invokeai_diffusion import (
     BasicConditioningInfo,
@@ -32,13 +32,6 @@ from .baseinvocation import (
 from .model import ClipField
 
 
-class ConditioningField(BaseModel):
-    conditioning_name: str = Field(description="The name of conditioning data")
-
-    class Config:
-        schema_extra = {"required": ["conditioning_name"]}
-
-
 @dataclass
 class ConditioningFieldData:
     conditionings: List[BasicConditioningInfo]
@@ -51,16 +44,6 @@ class ConditioningFieldData:
 #    PerpNeg = "perp_neg"
 
 
-class CompelOutput(BaseInvocationOutput):
-    """Compel parser output"""
-
-    # fmt: off
-    type: Literal["compel_output"] = "compel_output"
-
-    conditioning: ConditioningField = OutputField(description=FieldDescriptions.cond)
-    # fmt: on
-
-
 @title("Compel Prompt")
 @tags("prompt", "compel")
 class CompelInvocation(BaseInvocation):
@@ -80,7 +63,7 @@ class CompelInvocation(BaseInvocation):
     )
 
     @torch.no_grad()
-    def invoke(self, context: InvocationContext) -> CompelOutput:
+    def invoke(self, context: InvocationContext) -> ConditioningOutput:
         tokenizer_info = context.services.model_manager.get_model(
             **self.clip.tokenizer.dict(),
             context=context,
@@ -163,7 +146,7 @@ class CompelInvocation(BaseInvocation):
         conditioning_name = f"{context.graph_execution_state_id}_{self.id}_conditioning"
         context.services.latents.save(conditioning_name, conditioning_data)
 
-        return CompelOutput(
+        return ConditioningOutput(
             conditioning=ConditioningField(
                 conditioning_name=conditioning_name,
             ),
@@ -303,7 +286,7 @@ class SDXLCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
     clip2: ClipField = InputField(description=FieldDescriptions.clip, input=Input.Connection)
 
     @torch.no_grad()
-    def invoke(self, context: InvocationContext) -> CompelOutput:
+    def invoke(self, context: InvocationContext) -> ConditioningOutput:
         c1, c1_pooled, ec1 = self.run_clip_compel(
             context, self.clip, self.prompt, False, "lora_te1_", zero_on_empty=True
         )
@@ -336,7 +319,7 @@ class SDXLCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
         conditioning_name = f"{context.graph_execution_state_id}_{self.id}_conditioning"
         context.services.latents.save(conditioning_name, conditioning_data)
 
-        return CompelOutput(
+        return ConditioningOutput(
             conditioning=ConditioningField(
                 conditioning_name=conditioning_name,
             ),
@@ -361,7 +344,7 @@ class SDXLRefinerCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase
     clip2: ClipField = InputField(description=FieldDescriptions.clip, input=Input.Connection)
 
     @torch.no_grad()
-    def invoke(self, context: InvocationContext) -> CompelOutput:
+    def invoke(self, context: InvocationContext) -> ConditioningOutput:
         # TODO: if there will appear lora for refiner - write proper prefix
         c2, c2_pooled, ec2 = self.run_clip_compel(context, self.clip2, self.style, True, "<NONE>", zero_on_empty=False)
 
@@ -384,7 +367,7 @@ class SDXLRefinerCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase
         conditioning_name = f"{context.graph_execution_state_id}_{self.id}_conditioning"
         context.services.latents.save(conditioning_name, conditioning_data)
 
-        return CompelOutput(
+        return ConditioningOutput(
             conditioning=ConditioningField(
                 conditioning_name=conditioning_name,
             ),
diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py
index de8ad00026..15ac5a7e1d 100644
--- a/invokeai/app/invocations/controlnet_image_processors.py
+++ b/invokeai/app/invocations/controlnet_image_processors.py
@@ -26,8 +26,11 @@ from controlnet_aux.util import HWC3, ade_palette
 from PIL import Image
 from pydantic import BaseModel, Field, validator
 
+from invokeai.app.invocations.primitives import ImageField, ImageOutput
+
+
 from ...backend.model_management import BaseModelType, ModelType
-from ..models.image import ImageCategory, ImageField, ResourceOrigin
+from ..models.image import ImageCategory, ResourceOrigin
 from .baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
@@ -40,7 +43,6 @@ from .baseinvocation import (
     tags,
     title,
 )
-from ..models.image import ImageOutput
 
 
 CONTROLNET_MODE_VALUES = Literal["balanced", "more_prompt", "more_control", "unbalanced"]
diff --git a/invokeai/app/invocations/cv.py b/invokeai/app/invocations/cv.py
index ed2030a835..f318434211 100644
--- a/invokeai/app/invocations/cv.py
+++ b/invokeai/app/invocations/cv.py
@@ -5,10 +5,10 @@ from typing import Literal
 import cv2 as cv
 import numpy
 from PIL import Image, ImageOps
+from invokeai.app.invocations.primitives import ImageField, ImageOutput
 
-from invokeai.app.models.image import ImageCategory, ImageField, ResourceOrigin
+from invokeai.app.models.image import ImageCategory, ResourceOrigin
 from .baseinvocation import BaseInvocation, InputField, InvocationContext, tags, title
-from .image import ImageOutput
 
 
 @title("OpenCV Inpaint")
diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index 5c277ec30f..f4a1648196 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -8,34 +8,14 @@ import numpy
 from PIL import Image, ImageChops, ImageFilter, ImageOps
 
 from invokeai.app.invocations.metadata import CoreMetadata
+from invokeai.app.invocations.primitives import ImageField, ImageOutput
 from invokeai.backend.image_util.invisible_watermark import InvisibleWatermark
 from invokeai.backend.image_util.safety_checker import SafetyChecker
 
-from ..models.image import ImageCategory, ImageField, ImageOutput, MaskOutput, ResourceOrigin
+from ..models.image import ImageCategory, ResourceOrigin
 from .baseinvocation import BaseInvocation, FieldDescriptions, InputField, InvocationContext, tags, title
 
 
-@title("Load Image")
-@tags("image")
-class LoadImageInvocation(BaseInvocation):
-    """Load an image and provide it as output."""
-
-    # Metadata
-    type: Literal["load_image"] = "load_image"
-
-    # Inputs
-    image: ImageField = InputField(description="The image to load")
-
-    def invoke(self, context: InvocationContext) -> ImageOutput:
-        image = context.services.images.get_pil_image(self.image.image_name)
-
-        return ImageOutput(
-            image=ImageField(image_name=self.image.image_name),
-            width=image.width,
-            height=image.height,
-        )
-
-
 @title("Show Image")
 @tags("image")
 class ShowImageInvocation(BaseInvocation):
@@ -162,7 +142,7 @@ class MaskFromAlphaInvocation(BaseInvocation):
     image: ImageField = InputField(description="The image to create the mask from")
     invert: bool = InputField(default=False, description="Whether or not to invert the mask")
 
-    def invoke(self, context: InvocationContext) -> MaskOutput:
+    def invoke(self, context: InvocationContext) -> ImageOutput:
         image = context.services.images.get_pil_image(self.image.image_name)
 
         image_mask = image.split()[-1]
@@ -178,8 +158,8 @@ class MaskFromAlphaInvocation(BaseInvocation):
             is_intermediate=self.is_intermediate,
         )
 
-        return MaskOutput(
-            mask=ImageField(image_name=image_dto.image_name),
+        return ImageOutput(
+            image=ImageField(image_name=image_dto.image_name),
             width=image_dto.width,
             height=image_dto.height,
         )
@@ -608,7 +588,7 @@ class MaskEdgeInvocation(BaseInvocation):
         description="Second threshold for the hysteresis procedure in Canny edge detection"
     )
 
-    def invoke(self, context: InvocationContext) -> MaskOutput:
+    def invoke(self, context: InvocationContext) -> ImageOutput:
         mask = context.services.images.get_pil_image(self.image.image_name)
 
         npimg = numpy.asarray(mask, dtype=numpy.uint8)
@@ -633,8 +613,8 @@ class MaskEdgeInvocation(BaseInvocation):
             is_intermediate=self.is_intermediate,
         )
 
-        return MaskOutput(
-            mask=ImageField(image_name=image_dto.image_name),
+        return ImageOutput(
+            image=ImageField(image_name=image_dto.image_name),
             width=image_dto.width,
             height=image_dto.height,
         )
diff --git a/invokeai/app/invocations/infill.py b/invokeai/app/invocations/infill.py
index 2294f806ca..1547191f6c 100644
--- a/invokeai/app/invocations/infill.py
+++ b/invokeai/app/invocations/infill.py
@@ -5,13 +5,13 @@ from typing import Literal, Optional, get_args
 import numpy as np
 import math
 from PIL import Image, ImageOps
+from invokeai.app.invocations.primitives import ImageField, ImageOutput, ColorField
 
-from invokeai.app.invocations.image import ImageOutput
 from invokeai.app.util.misc import SEED_MAX, get_random_seed
 from invokeai.backend.image_util.patchmatch import PatchMatch
 
-from ..models.image import ColorField, ImageCategory, ImageField, ResourceOrigin
-from .baseinvocation import BaseInvocation, InputField, InvocationContext, UITypeHint, title, tags
+from ..models.image import ImageCategory, ResourceOrigin
+from .baseinvocation import BaseInvocation, InputField, InvocationContext, title, tags
 
 
 def infill_methods() -> list[str]:
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 63cfd95394..461bb6b41e 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -19,6 +19,13 @@ from pydantic import BaseModel, Field, validator
 from torchvision.transforms.functional import resize as tv_resize
 
 from invokeai.app.invocations.metadata import CoreMetadata
+from invokeai.app.invocations.primitives import (
+    ImageField,
+    ImageOutput,
+    LatentsField,
+    LatentsOutput,
+    build_latents_output,
+)
 from invokeai.app.util.controlnet_utils import prepare_control_image
 from invokeai.app.util.step_callback import stable_diffusion_step_callback
 from invokeai.backend.model_management.models import ModelType, SilenceWarnings
@@ -35,7 +42,7 @@ from ...backend.stable_diffusion.diffusers_pipeline import (
 from ...backend.stable_diffusion.diffusion.shared_invokeai_diffusion import PostprocessingSettings
 from ...backend.stable_diffusion.schedulers import SCHEDULER_MAP
 from ...backend.util.devices import choose_precision, choose_torch_device
-from ..models.image import ImageCategory, ImageField, ResourceOrigin
+from ..models.image import ImageCategory, ResourceOrigin
 from .baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
@@ -50,43 +57,11 @@ from .baseinvocation import (
 )
 from .compel import ConditioningField
 from .controlnet_image_processors import ControlField
-from .image import ImageOutput
 from .model import ModelInfo, UNetField, VaeField
 
 DEFAULT_PRECISION = choose_precision(choose_torch_device())
 
 
-class LatentsField(BaseModel):
-    """A latents field used for passing latents between invocations"""
-
-    latents_name: str = Field(description="The name of the latents")
-    seed: Optional[int] = Field(default=None, description="Seed used to generate this latents")
-
-    class Config:
-        schema_extra = {"required": ["latents_name"]}
-
-
-class LatentsOutput(BaseInvocationOutput):
-    """Base class for invocations that output latents"""
-
-    type: Literal["latents_output"] = "latents_output"
-
-    # Inputs
-    latents: LatentsField = OutputField(
-        description=FieldDescriptions.latents,
-    )
-    width: int = OutputField(description=FieldDescriptions.width)
-    height: int = OutputField(description=FieldDescriptions.height)
-
-
-def build_latents_output(latents_name: str, latents: torch.Tensor, seed: Optional[int]):
-    return LatentsOutput(
-        latents=LatentsField(latents_name=latents_name, seed=seed),
-        width=latents.size()[3] * 8,
-        height=latents.size()[2] * 8,
-    )
-
-
 SAMPLER_NAME_VALUES = Literal[tuple(list(SCHEDULER_MAP.keys()))]
 
 
diff --git a/invokeai/app/invocations/math.py b/invokeai/app/invocations/math.py
index 81c032ca89..13e3d92f52 100644
--- a/invokeai/app/invocations/math.py
+++ b/invokeai/app/invocations/math.py
@@ -4,30 +4,9 @@ from typing import Literal
 
 import numpy as np
 
-from .baseinvocation import (
-    BaseInvocation,
-    BaseInvocationOutput,
-    FieldDescriptions,
-    InputField,
-    InvocationContext,
-    OutputField,
-    tags,
-    title,
-)
+from invokeai.app.invocations.primitives import IntegerOutput
 
-
-class IntOutput(BaseInvocationOutput):
-    """An integer output"""
-
-    type: Literal["int_output"] = "int_output"
-    a: int = OutputField(default=None, description="The output integer")
-
-
-class FloatOutput(BaseInvocationOutput):
-    """A float output"""
-
-    type: Literal["float_output"] = "float_output"
-    a: float = OutputField(default=None, description="The output float")
+from .baseinvocation import BaseInvocation, FieldDescriptions, InputField, InvocationContext, tags, title
 
 
 @title("Add Integers")
@@ -41,8 +20,8 @@ class AddInvocation(BaseInvocation):
     a: int = InputField(default=0, description=FieldDescriptions.num_1)
     b: int = InputField(default=0, description=FieldDescriptions.num_2)
 
-    def invoke(self, context: InvocationContext) -> IntOutput:
-        return IntOutput(a=self.a + self.b)
+    def invoke(self, context: InvocationContext) -> IntegerOutput:
+        return IntegerOutput(a=self.a + self.b)
 
 
 @title("Subtract Integers")
@@ -56,8 +35,8 @@ class SubtractInvocation(BaseInvocation):
     a: int = InputField(default=0, description=FieldDescriptions.num_1)
     b: int = InputField(default=0, description=FieldDescriptions.num_2)
 
-    def invoke(self, context: InvocationContext) -> IntOutput:
-        return IntOutput(a=self.a - self.b)
+    def invoke(self, context: InvocationContext) -> IntegerOutput:
+        return IntegerOutput(a=self.a - self.b)
 
 
 @title("Multiply Integers")
@@ -71,8 +50,8 @@ class MultiplyInvocation(BaseInvocation):
     a: int = InputField(default=0, description=FieldDescriptions.num_1)
     b: int = InputField(default=0, description=FieldDescriptions.num_2)
 
-    def invoke(self, context: InvocationContext) -> IntOutput:
-        return IntOutput(a=self.a * self.b)
+    def invoke(self, context: InvocationContext) -> IntegerOutput:
+        return IntegerOutput(a=self.a * self.b)
 
 
 @title("Divide Integers")
@@ -86,8 +65,8 @@ class DivideInvocation(BaseInvocation):
     a: int = InputField(default=0, description=FieldDescriptions.num_1)
     b: int = InputField(default=0, description=FieldDescriptions.num_2)
 
-    def invoke(self, context: InvocationContext) -> IntOutput:
-        return IntOutput(a=int(self.a / self.b))
+    def invoke(self, context: InvocationContext) -> IntegerOutput:
+        return IntegerOutput(a=int(self.a / self.b))
 
 
 @title("Random Integer")
@@ -101,5 +80,5 @@ class RandomIntInvocation(BaseInvocation):
     low: int = InputField(default=0, description="The inclusive low value")
     high: int = InputField(default=np.iinfo(np.int32).max, description="The exclusive high value")
 
-    def invoke(self, context: InvocationContext) -> IntOutput:
-        return IntOutput(a=np.random.randint(self.low, self.high))
+    def invoke(self, context: InvocationContext) -> IntegerOutput:
+        return IntegerOutput(a=np.random.randint(self.low, self.high))
diff --git a/invokeai/app/invocations/metadata.py b/invokeai/app/invocations/metadata.py
index b0e7c13d43..679c610750 100644
--- a/invokeai/app/invocations/metadata.py
+++ b/invokeai/app/invocations/metadata.py
@@ -7,6 +7,7 @@ from invokeai.app.invocations.baseinvocation import (
     BaseInvocationOutput,
     InputField,
     InvocationContext,
+    OutputField,
     tags,
     title,
 )
@@ -94,7 +95,7 @@ class MetadataAccumulatorOutput(BaseInvocationOutput):
 
     type: Literal["metadata_accumulator_output"] = "metadata_accumulator_output"
 
-    metadata: CoreMetadata = Field(description="The core metadata for the image")
+    metadata: CoreMetadata = OutputField(description="The core metadata for the image")
 
 
 @title("Metadata Accumulator")
diff --git a/invokeai/app/invocations/model.py b/invokeai/app/invocations/model.py
index de32a9948f..74ef4da6fb 100644
--- a/invokeai/app/invocations/model.py
+++ b/invokeai/app/invocations/model.py
@@ -365,7 +365,7 @@ class VaeLoaderInvocation(BaseInvocation):
 
     # Inputs
     vae_model: VAEModelField = InputField(
-        description=FieldDescriptions.vae_model, input=Input.Direct, ui_type_hint=UITypeHint.VaeModelField, title="VAE"
+        description=FieldDescriptions.vae_model, input=Input.Direct, ui_type_hint=UITypeHint.VaeModel, title="VAE"
     )
 
     def invoke(self, context: InvocationContext) -> VaeLoaderOutput:
diff --git a/invokeai/app/invocations/onnx.py b/invokeai/app/invocations/onnx.py
index cd73d35d78..d7fa277494 100644
--- a/invokeai/app/invocations/onnx.py
+++ b/invokeai/app/invocations/onnx.py
@@ -14,13 +14,14 @@ from pydantic import BaseModel, Field, validator
 from tqdm import tqdm
 
 from invokeai.app.invocations.metadata import CoreMetadata
+from invokeai.app.invocations.primitives import ConditioningField, ConditioningOutput, ImageField, ImageOutput
 from invokeai.app.util.step_callback import stable_diffusion_step_callback
 from invokeai.backend import BaseModelType, ModelType, SubModelType
 
 from ...backend.model_management import ONNXModelPatcher
 from ...backend.stable_diffusion import PipelineIntermediateState
 from ...backend.util import choose_torch_device
-from ..models.image import ImageCategory, ImageField, ResourceOrigin
+from ..models.image import ImageCategory, ResourceOrigin
 from .baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
@@ -34,9 +35,7 @@ from .baseinvocation import (
     tags,
     title,
 )
-from .compel import CompelOutput, ConditioningField
 from .controlnet_image_processors import ControlField
-from .image import ImageOutput
 from .latent import SAMPLER_NAME_VALUES, LatentsField, LatentsOutput, build_latents_output, get_scheduler
 from .model import ClipField, ModelInfo, UNetField, VaeField
 
@@ -66,7 +65,7 @@ class ONNXPromptInvocation(BaseInvocation):
     prompt: str = InputField(default="", description=FieldDescriptions.raw_prompt, ui_component=UIComponent.Textarea)
     clip: ClipField = InputField(description=FieldDescriptions.clip, input=Input.Connection)
 
-    def invoke(self, context: InvocationContext) -> CompelOutput:
+    def invoke(self, context: InvocationContext) -> ConditioningOutput:
         tokenizer_info = context.services.model_manager.get_model(
             **self.clip.tokenizer.dict(),
         )
@@ -135,7 +134,7 @@ class ONNXPromptInvocation(BaseInvocation):
         # TODO: hacky but works ;D maybe rename latents somehow?
         context.services.latents.save(conditioning_name, (prompt_embeds, None))
 
-        return CompelOutput(
+        return ConditioningOutput(
             conditioning=ConditioningField(
                 conditioning_name=conditioning_name,
             ),
@@ -181,7 +180,7 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
     control: Optional[Union[ControlField, list[ControlField]]] = InputField(
         default=None,
         description=FieldDescriptions.control,
-        ui_type_hint=UITypeHint.ControlField,
+        ui_type_hint=UITypeHint.Control,
     )
     # seamless:   bool = InputField(default=False, description="Whether or not to generate an image that can tile without seams", )
     # seamless_axes: str = InputField(default="", description="The axes to tile the image on, 'x' and/or 'y'")
@@ -417,7 +416,7 @@ class OnnxModelLoaderInvocation(BaseInvocation):
 
     # Inputs
     model: OnnxModelField = InputField(
-        description=FieldDescriptions.onnx_main_model, input=Input.Direct, ui_type_hint=UITypeHint.ONNXModelField
+        description=FieldDescriptions.onnx_main_model, input=Input.Direct, ui_type_hint=UITypeHint.ONNXModel
     )
 
     def invoke(self, context: InvocationContext) -> ONNXModelLoaderOutput:
diff --git a/invokeai/app/invocations/param_easing.py b/invokeai/app/invocations/param_easing.py
index d35dba5df3..67f96b0c34 100644
--- a/invokeai/app/invocations/param_easing.py
+++ b/invokeai/app/invocations/param_easing.py
@@ -42,9 +42,10 @@ from matplotlib.figure import Figure
 from matplotlib.ticker import MaxNLocator
 from pydantic import BaseModel, Field
 
+from invokeai.app.invocations.primitives import FloatCollectionOutput
+
 from ...backend.util.logging import InvokeAILogger
 from .baseinvocation import BaseInvocation, InputField, InvocationContext, tags, title
-from .collections import FloatCollectionOutput
 
 
 @title("Float Range")
diff --git a/invokeai/app/invocations/params.py b/invokeai/app/invocations/params.py
deleted file mode 100644
index 27382d8f8d..0000000000
--- a/invokeai/app/invocations/params.py
+++ /dev/null
@@ -1,81 +0,0 @@
-# Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
-
-from typing import Literal
-
-from invokeai.app.invocations.prompt import PromptOutput
-
-from .baseinvocation import (
-    BaseInvocation,
-    BaseInvocationOutput,
-    InputField,
-    InvocationContext,
-    OutputField,
-    tags,
-    title,
-)
-from .math import FloatOutput, IntOutput
-
-# Pass-through parameter nodes - used by subgraphs
-
-
-@title("Integer Parameter")
-@tags("integer")
-class ParamIntInvocation(BaseInvocation):
-    """An integer parameter"""
-
-    type: Literal["param_int"] = "param_int"
-
-    # Inputs
-    a: int = InputField(default=0, description="The integer value")
-
-    def invoke(self, context: InvocationContext) -> IntOutput:
-        return IntOutput(a=self.a)
-
-
-@title("Float Parameter")
-@tags("float")
-class ParamFloatInvocation(BaseInvocation):
-    """A float parameter"""
-
-    type: Literal["param_float"] = "param_float"
-
-    # Inputs
-    param: float = InputField(default=0.0, description="The float value")
-
-    def invoke(self, context: InvocationContext) -> FloatOutput:
-        return FloatOutput(a=self.param)
-
-
-class StringOutput(BaseInvocationOutput):
-    """A string output"""
-
-    type: Literal["string_output"] = "string_output"
-    text: str = OutputField(description="The output string")
-
-
-@title("String Parameter")
-@tags("string")
-class ParamStringInvocation(BaseInvocation):
-    """A string parameter"""
-
-    type: Literal["param_string"] = "param_string"
-
-    # Inputs
-    text: str = InputField(default="", description="The string value")
-
-    def invoke(self, context: InvocationContext) -> StringOutput:
-        return StringOutput(text=self.text)
-
-
-@title("Prompt Parameter")
-@tags("prompt")
-class ParamPromptInvocation(BaseInvocation):
-    """A prompt input parameter"""
-
-    type: Literal["param_prompt"] = "param_prompt"
-
-    # Inputs
-    prompt: str = InputField(default="", description="The prompt value")
-
-    def invoke(self, context: InvocationContext) -> PromptOutput:
-        return PromptOutput(prompt=self.prompt)
diff --git a/invokeai/app/invocations/primitives.py b/invokeai/app/invocations/primitives.py
new file mode 100644
index 0000000000..97063d89f0
--- /dev/null
+++ b/invokeai/app/invocations/primitives.py
@@ -0,0 +1,381 @@
+# Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
+
+from typing import Literal, Optional, Tuple
+
+from pydantic import BaseModel, Field
+import torch
+
+from .baseinvocation import (
+    BaseInvocation,
+    BaseInvocationOutput,
+    FieldDescriptions,
+    Input,
+    InputField,
+    InvocationContext,
+    OutputField,
+    UIComponent,
+    UITypeHint,
+    tags,
+    title,
+)
+
+"""
+Primitives: Boolean, Integer, Float, String, Image, Latents, Conditioning, Color
+- primitive nodes
+- primitive outputs
+- primitive collection outputs
+"""
+
+# region Boolean
+
+
+class BooleanOutput(BaseInvocationOutput):
+    """Base class for nodes that output a single boolean"""
+
+    type: Literal["boolean_output"] = "boolean_output"
+    a: bool = OutputField(description="The output boolean")
+
+
+class BooleanCollectionOutput(BaseInvocationOutput):
+    """Base class for nodes that output a collection of booleans"""
+
+    type: Literal["boolean_collection_output"] = "boolean_collection_output"
+
+    # Outputs
+    collection: list[bool] = OutputField(
+        default_factory=list, description="The output boolean collection", ui_type_hint=UITypeHint.BooleanCollection
+    )
+
+
+@title("Boolean Primitive")
+@tags("boolean")
+class BooleanInvocation(BaseInvocation):
+    """A boolean primitive value"""
+
+    type: Literal["boolean"] = "boolean"
+
+    # Inputs
+    a: bool = InputField(default=False, description="The boolean value")
+
+    def invoke(self, context: InvocationContext) -> BooleanOutput:
+        return BooleanOutput(a=self.a)
+
+
+# endregion
+
+# region Integer
+
+
+class IntegerOutput(BaseInvocationOutput):
+    """Base class for nodes that output a single integer"""
+
+    type: Literal["integer_output"] = "integer_output"
+    a: int = OutputField(description="The output integer")
+
+
+class IntegerCollectionOutput(BaseInvocationOutput):
+    """Base class for nodes that output a collection of integers"""
+
+    type: Literal["integer_collection_output"] = "integer_collection_output"
+
+    # Outputs
+    collection: list[int] = OutputField(
+        default_factory=list, description="The int collection", ui_type_hint=UITypeHint.IntegerCollection
+    )
+
+
+@title("Integer Primitive")
+@tags("integer")
+class IntegerInvocation(BaseInvocation):
+    """An integer primitive value"""
+
+    type: Literal["integer"] = "integer"
+
+    # Inputs
+    a: int = InputField(default=0, description="The integer value")
+
+    def invoke(self, context: InvocationContext) -> IntegerOutput:
+        return IntegerOutput(a=self.a)
+
+
+# endregion
+
+# region Float
+
+
+class FloatOutput(BaseInvocationOutput):
+    """Base class for nodes that output a single float"""
+
+    type: Literal["float_output"] = "float_output"
+    a: float = OutputField(description="The output float")
+
+
+class FloatCollectionOutput(BaseInvocationOutput):
+    """Base class for nodes that output a collection of floats"""
+
+    type: Literal["float_collection_output"] = "float_collection_output"
+
+    # Outputs
+    collection: list[float] = OutputField(
+        default_factory=list, description="The float collection", ui_type_hint=UITypeHint.FloatCollection
+    )
+
+
+@title("Float Primitive")
+@tags("float")
+class FloatInvocation(BaseInvocation):
+    """A float primitive value"""
+
+    type: Literal["float"] = "float"
+
+    # Inputs
+    param: float = InputField(default=0.0, description="The float value")
+
+    def invoke(self, context: InvocationContext) -> FloatOutput:
+        return FloatOutput(a=self.param)
+
+
+# endregion
+
+# region String
+
+
+class StringOutput(BaseInvocationOutput):
+    """Base class for nodes that output a single string"""
+
+    type: Literal["string_output"] = "string_output"
+    text: str = OutputField(description="The output string")
+
+
+class StringCollectionOutput(BaseInvocationOutput):
+    """Base class for nodes that output a collection of strings"""
+
+    type: Literal["string_collection_output"] = "string_collection_output"
+
+    # Outputs
+    collection: list[str] = OutputField(
+        default_factory=list, description="The output strings", ui_type_hint=UITypeHint.StringCollection
+    )
+
+
+@title("String Primitive")
+@tags("string")
+class StringInvocation(BaseInvocation):
+    """A string primitive value"""
+
+    type: Literal["string"] = "string"
+
+    # Inputs
+    text: str = InputField(default="", description="The string value", ui_component=UIComponent.Textarea)
+
+    def invoke(self, context: InvocationContext) -> StringOutput:
+        return StringOutput(text=self.text)
+
+
+# endregion
+
+# region Image
+
+
+class ImageField(BaseModel):
+    """An image primitive field"""
+
+    image_name: str = Field(description="The name of the image")
+
+
+class ImageOutput(BaseInvocationOutput):
+    """Base class for nodes that output a single image"""
+
+    type: Literal["image_output"] = "image_output"
+    image: ImageField = OutputField(description="The output image")
+    width: int = OutputField(description="The width of the image in pixels")
+    height: int = OutputField(description="The height of the image in pixels")
+
+
+class ImageCollectionOutput(BaseInvocationOutput):
+    """Base class for nodes that output a collection of images"""
+
+    type: Literal["image_collection_output"] = "image_collection_output"
+
+    # Outputs
+    collection: list[ImageField] = OutputField(
+        default_factory=list, description="The output images", ui_type_hint=UITypeHint.ImageCollection
+    )
+
+
+@title("Image Primitive")
+@tags("image")
+class ImageInvocation(BaseInvocation):
+    """An image primitive value"""
+
+    # Metadata
+    type: Literal["image"] = "image"
+
+    # Inputs
+    image: ImageField = InputField(description="The image to load")
+
+    def invoke(self, context: InvocationContext) -> ImageOutput:
+        image = context.services.images.get_pil_image(self.image.image_name)
+
+        return ImageOutput(
+            image=ImageField(image_name=self.image.image_name),
+            width=image.width,
+            height=image.height,
+        )
+
+
+# endregion
+
+# region Latents
+
+
+class LatentsField(BaseModel):
+    """A latents tensor primitive field"""
+
+    latents_name: str = Field(description="The name of the latents")
+    seed: Optional[int] = Field(default=None, description="Seed used to generate this latents")
+
+
+class LatentsOutput(BaseInvocationOutput):
+    """Base class for nodes that output a single latents tensor"""
+
+    type: Literal["latents_output"] = "latents_output"
+
+    latents: LatentsField = OutputField(
+        description=FieldDescriptions.latents,
+    )
+    width: int = OutputField(description=FieldDescriptions.width)
+    height: int = OutputField(description=FieldDescriptions.height)
+
+
+class LatentsCollectionOutput(BaseInvocationOutput):
+    """Base class for nodes that output a collection of latents tensors"""
+
+    type: Literal["latents_collection_output"] = "latents_collection_output"
+
+    latents: list[LatentsField] = OutputField(
+        default_factory=list,
+        description=FieldDescriptions.latents,
+        ui_type_hint=UITypeHint.LatentsCollection,
+    )
+
+
+@title("Latents Primitive")
+@tags("latents")
+class LatentsInvocation(BaseInvocation):
+    """A latents tensor primitive value"""
+
+    type: Literal["latents"] = "latents"
+
+    # Inputs
+    latents: LatentsField = InputField(description="The latents tensor", input=Input.Connection)
+
+    def invoke(self, context: InvocationContext) -> LatentsOutput:
+        latents = context.services.latents.get(self.latents.latents_name)
+
+        return build_latents_output(self.latents.latents_name, latents)
+
+
+def build_latents_output(latents_name: str, latents: torch.Tensor, seed: Optional[int] = None):
+    return LatentsOutput(
+        latents=LatentsField(latents_name=latents_name, seed=seed),
+        width=latents.size()[3] * 8,
+        height=latents.size()[2] * 8,
+    )
+
+
+# endregion
+
+# region Color
+
+
+class ColorField(BaseModel):
+    """A color primitive field"""
+
+    r: int = Field(ge=0, le=255, description="The red component")
+    g: int = Field(ge=0, le=255, description="The green component")
+    b: int = Field(ge=0, le=255, description="The blue component")
+    a: int = Field(ge=0, le=255, description="The alpha component")
+
+    def tuple(self) -> Tuple[int, int, int, int]:
+        return (self.r, self.g, self.b, self.a)
+
+
+class ColorOutput(BaseInvocationOutput):
+    """Base class for nodes that output a single color"""
+
+    type: Literal["color_output"] = "color_output"
+    color: ColorField = OutputField(description="The output color")
+
+
+class ColorCollectionOutput(BaseInvocationOutput):
+    """Base class for nodes that output a collection of colors"""
+
+    type: Literal["color_collection_output"] = "color_collection_output"
+
+    # Outputs
+    collection: list[ColorField] = OutputField(
+        default_factory=list, description="The output colors", ui_type_hint=UITypeHint.ColorCollection
+    )
+
+
+@title("Color Primitive")
+@tags("color")
+class ColorInvocation(BaseInvocation):
+    """A color primitive value"""
+
+    type: Literal["color"] = "color"
+
+    # Inputs
+    color: ColorField = InputField(default=ColorField(r=0, g=0, b=0, a=255), description="The color value")
+
+    def invoke(self, context: InvocationContext) -> ColorOutput:
+        return ColorOutput(color=self.color)
+
+
+# endregion
+
+# region Conditioning
+
+
+class ConditioningField(BaseModel):
+    """A conditioning tensor primitive field"""
+
+    conditioning_name: str = Field(description="The name of conditioning tensor")
+
+
+class ConditioningOutput(BaseInvocationOutput):
+    """Base class for nodes that output a single conditioning tensor"""
+
+    type: Literal["conditioning_output"] = "conditioning_output"
+
+    conditioning: ConditioningField = OutputField(description=FieldDescriptions.cond)
+
+
+class ConditioningCollectionOutput(BaseInvocationOutput):
+    """Base class for nodes that output a collection of conditioning tensors"""
+
+    type: Literal["conditioning_collection_output"] = "conditioning_collection_output"
+
+    # Outputs
+    collection: list[ConditioningField] = OutputField(
+        default_factory=list,
+        description="The output conditioning tensors",
+        ui_type_hint=UITypeHint.ConditioningCollection,
+    )
+
+
+@title("Conditioning Primitive")
+@tags("conditioning")
+class ConditioningInvocation(BaseInvocation):
+    """A conditioning tensor primitive value"""
+
+    type: Literal["conditioning"] = "conditioning"
+
+    conditioning: ConditioningField = InputField(description=FieldDescriptions.cond, input=Input.Connection)
+
+    def invoke(self, context: InvocationContext) -> ConditioningOutput:
+        return ConditioningOutput(conditioning=self.conditioning)
+
+
+# endregion
diff --git a/invokeai/app/invocations/prompt.py b/invokeai/app/invocations/prompt.py
index 57320c695c..d8c164a0b7 100644
--- a/invokeai/app/invocations/prompt.py
+++ b/invokeai/app/invocations/prompt.py
@@ -1,40 +1,13 @@
 from os.path import exists
-from typing import Literal, Optional
+from typing import Literal, Optional, Union
 
 import numpy as np
+from dynamicprompts.generators import CombinatorialPromptGenerator, RandomPromptGenerator
 from pydantic import validator
 
-from .baseinvocation import (
-    BaseInvocation,
-    BaseInvocationOutput,
-    InputField,
-    InvocationContext,
-    OutputField,
-    UIComponent,
-    UITypeHint,
-    title,
-    tags,
-)
-from dynamicprompts.generators import RandomPromptGenerator, CombinatorialPromptGenerator
+from invokeai.app.invocations.primitives import StringCollectionOutput
 
-
-class PromptOutput(BaseInvocationOutput):
-    """Base class for invocations that output a prompt"""
-
-    type: Literal["prompt"] = "prompt"
-
-    prompt: str = OutputField(description="The output prompt")
-
-
-class PromptCollectionOutput(BaseInvocationOutput):
-    """Base class for invocations that output a collection of prompts"""
-
-    type: Literal["prompt_collection_output"] = "prompt_collection_output"
-
-    prompt_collection: list[str] = OutputField(
-        description="The output prompt collection", ui_type_hint=UITypeHint.StringCollection
-    )
-    count: int = OutputField(description="The size of the prompt collection")
+from .baseinvocation import BaseInvocation, InputField, InvocationContext, UIComponent, UITypeHint, tags, title
 
 
 @title("Dynamic Prompt")
@@ -49,7 +22,7 @@ class DynamicPromptInvocation(BaseInvocation):
     max_prompts: int = InputField(default=1, description="The number of prompts to generate")
     combinatorial: bool = InputField(default=False, description="Whether to use the combinatorial generator")
 
-    def invoke(self, context: InvocationContext) -> PromptCollectionOutput:
+    def invoke(self, context: InvocationContext) -> StringCollectionOutput:
         if self.combinatorial:
             generator = CombinatorialPromptGenerator()
             prompts = generator.generate(self.prompt, max_prompts=self.max_prompts)
@@ -57,7 +30,7 @@ class DynamicPromptInvocation(BaseInvocation):
             generator = RandomPromptGenerator()
             prompts = generator.generate(self.prompt, num_images=self.max_prompts)
 
-        return PromptCollectionOutput(prompt_collection=prompts, count=len(prompts))
+        return StringCollectionOutput(collection=prompts)
 
 
 @title("Prompts from File")
@@ -70,10 +43,10 @@ class PromptsFromFileInvocation(BaseInvocation):
     # Inputs
     file_path: str = InputField(description="Path to prompt text file", ui_type_hint=UITypeHint.FilePath)
     pre_prompt: Optional[str] = InputField(
-        description="String to prepend to each prompt", ui_component=UIComponent.Textarea
+        default=None, description="String to prepend to each prompt", ui_component=UIComponent.Textarea
     )
     post_prompt: Optional[str] = InputField(
-        description="String to append to each prompt", ui_component=UIComponent.Textarea
+        default=None, description="String to append to each prompt", ui_component=UIComponent.Textarea
     )
     start_line: int = InputField(default=1, ge=1, description="Line in the file to start start from")
     max_prompts: int = InputField(default=1, ge=0, description="Max lines to read from file (0=all)")
@@ -84,7 +57,14 @@ class PromptsFromFileInvocation(BaseInvocation):
             raise ValueError(FileNotFoundError)
         return v
 
-    def promptsFromFile(self, file_path: str, pre_prompt: str, post_prompt: str, start_line: int, max_prompts: int):
+    def promptsFromFile(
+        self,
+        file_path: str,
+        pre_prompt: Union[str, None],
+        post_prompt: Union[str, None],
+        start_line: int,
+        max_prompts: int,
+    ):
         prompts = []
         start_line -= 1
         end_line = start_line + max_prompts
@@ -98,8 +78,8 @@ class PromptsFromFileInvocation(BaseInvocation):
                     break
         return prompts
 
-    def invoke(self, context: InvocationContext) -> PromptCollectionOutput:
+    def invoke(self, context: InvocationContext) -> StringCollectionOutput:
         prompts = self.promptsFromFile(
             self.file_path, self.pre_prompt, self.post_prompt, self.start_line, self.max_prompts
         )
-        return PromptCollectionOutput(prompt_collection=prompts, count=len(prompts))
+        return StringCollectionOutput(collection=prompts)
diff --git a/invokeai/app/invocations/sdxl.py b/invokeai/app/invocations/sdxl.py
index d25a37327e..c80f69bc38 100644
--- a/invokeai/app/invocations/sdxl.py
+++ b/invokeai/app/invocations/sdxl.py
@@ -46,7 +46,7 @@ class SDXLModelLoaderInvocation(BaseInvocation):
 
     # Inputs
     model: MainModelField = InputField(
-        description=FieldDescriptions.sdxl_main_model, input=Input.Direct, ui_type_hint=UITypeHint.SDXLMainModelField
+        description=FieldDescriptions.sdxl_main_model, input=Input.Direct, ui_type_hint=UITypeHint.SDXLMainModel
     )
     # TODO: precision?
 
@@ -133,7 +133,7 @@ class SDXLRefinerModelLoaderInvocation(BaseInvocation):
     model: MainModelField = InputField(
         description=FieldDescriptions.sdxl_refiner_model,
         input=Input.Direct,
-        ui_type_hint=UITypeHint.SDXLRefinerModelField,
+        ui_type_hint=UITypeHint.SDXLRefinerModel,
     )
     # TODO: precision?
 
diff --git a/invokeai/app/invocations/upscale.py b/invokeai/app/invocations/upscale.py
index 4e9c9fac2f..cd4463e174 100644
--- a/invokeai/app/invocations/upscale.py
+++ b/invokeai/app/invocations/upscale.py
@@ -7,11 +7,11 @@ import numpy as np
 from basicsr.archs.rrdbnet_arch import RRDBNet
 from PIL import Image
 from realesrgan import RealESRGANer
+from invokeai.app.invocations.primitives import ImageField, ImageOutput
 
-from invokeai.app.models.image import ImageCategory, ImageField, ResourceOrigin
+from invokeai.app.models.image import ImageCategory, ResourceOrigin
 
 from .baseinvocation import BaseInvocation, InputField, InvocationContext, title, tags
-from .image import ImageOutput
 
 # TODO: Populate this from disk?
 # TODO: Use model manager to load?
diff --git a/invokeai/app/models/image.py b/invokeai/app/models/image.py
index 3a34a7d6da..88cf8af5f9 100644
--- a/invokeai/app/models/image.py
+++ b/invokeai/app/models/image.py
@@ -1,30 +1,8 @@
 from enum import Enum
-from typing import Optional, Tuple, Literal
+
 from pydantic import BaseModel, Field
 
 from invokeai.app.util.metaenum import MetaEnum
-from ..invocations.baseinvocation import (
-    BaseInvocationOutput,
-)
-
-
-class ImageField(BaseModel):
-    """An image field used for passing image objects between invocations"""
-
-    image_name: str = Field(description="The name of the image")
-
-    class Config:
-        schema_extra = {"required": ["image_name"]}
-
-
-class ColorField(BaseModel):
-    r: int = Field(ge=0, le=255, description="The red component")
-    g: int = Field(ge=0, le=255, description="The green component")
-    b: int = Field(ge=0, le=255, description="The blue component")
-    a: int = Field(ge=0, le=255, description="The alpha component")
-
-    def tuple(self) -> Tuple[int, int, int, int]:
-        return (self.r, self.g, self.b, self.a)
 
 
 class ProgressImage(BaseModel):
@@ -35,39 +13,6 @@ class ProgressImage(BaseModel):
     dataURL: str = Field(description="The image data as a b64 data URL")
 
 
-class ImageOutput(BaseInvocationOutput):
-    """Base class for invocations that output an image"""
-
-    # fmt: off
-    type: Literal["image_output"] = "image_output"
-    image:      ImageField = Field(default=None, description="The output image")
-    width:             int = Field(description="The width of the image in pixels")
-    height:            int = Field(description="The height of the image in pixels")
-    # fmt: on
-
-    class Config:
-        schema_extra = {"required": ["type", "image", "width", "height"]}
-
-
-class MaskOutput(BaseInvocationOutput):
-    """Base class for invocations that output a mask"""
-
-    # fmt: off
-    type: Literal["mask"] = "mask"
-    mask:      ImageField = Field(default=None, description="The output mask")
-    width:            int = Field(description="The width of the mask in pixels")
-    height:           int = Field(description="The height of the mask in pixels")
-    # fmt: on
-
-    class Config:
-        schema_extra = {
-            "required": [
-                "type",
-                "mask",
-            ]
-        }
-
-
 class ResourceOrigin(str, Enum, metaclass=MetaEnum):
     """The origin of a resource (eg image).
 
diff --git a/invokeai/app/services/default_graphs.py b/invokeai/app/services/default_graphs.py
index caee5b631e..7135e031b0 100644
--- a/invokeai/app/services/default_graphs.py
+++ b/invokeai/app/services/default_graphs.py
@@ -2,7 +2,7 @@ from ..invocations.latent import LatentsToImageInvocation, DenoiseLatentsInvocat
 from ..invocations.image import ImageNSFWBlurInvocation
 from ..invocations.noise import NoiseInvocation
 from ..invocations.compel import CompelInvocation
-from ..invocations.params import ParamIntInvocation
+from ..invocations.primitives import IntegerInvocation
 from .graph import Edge, EdgeConnection, ExposedNodeInput, ExposedNodeOutput, Graph, LibraryGraph
 from .item_storage import ItemStorageABC
 
@@ -17,9 +17,9 @@ def create_text_to_image() -> LibraryGraph:
         description="Converts text to an image",
         graph=Graph(
             nodes={
-                "width": ParamIntInvocation(id="width", a=512),
-                "height": ParamIntInvocation(id="height", a=512),
-                "seed": ParamIntInvocation(id="seed", a=-1),
+                "width": IntegerInvocation(id="width", a=512),
+                "height": IntegerInvocation(id="height", a=512),
+                "seed": IntegerInvocation(id="seed", a=-1),
                 "3": NoiseInvocation(id="3"),
                 "4": CompelInvocation(id="4"),
                 "5": CompelInvocation(id="5"),
diff --git a/invokeai/frontend/web/src/services/api/guards.ts b/invokeai/frontend/web/src/services/api/guards.ts
index 0a28617f98..2893d88e07 100644
--- a/invokeai/frontend/web/src/services/api/guards.ts
+++ b/invokeai/frontend/web/src/services/api/guards.ts
@@ -3,8 +3,6 @@ import {
   GraphExecutionState,
   GraphInvocationOutput,
   ImageOutput,
-  MaskOutput,
-  PromptOutput,
   IterateInvocationOutput,
   CollectInvocationOutput,
   ImageField,
@@ -48,14 +46,6 @@ export const isLatentsOutput = (
   output: GraphExecutionState['results'][string]
 ): output is LatentsOutput => output?.type === 'latents_output';
 
-export const isMaskOutput = (
-  output: GraphExecutionState['results'][string]
-): output is MaskOutput => output?.type === 'mask';
-
-export const isPromptOutput = (
-  output: GraphExecutionState['results'][string]
-): output is PromptOutput => output?.type === 'prompt';
-
 export const isGraphOutput = (
   output: GraphExecutionState['results'][string]
 ): output is GraphInvocationOutput => output?.type === 'graph_output';
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 4348a28fd0..79815d3038 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -548,6 +548,69 @@ export type components = {
        */
       file: Blob;
     };
+    /**
+     * BooleanCollectionOutput 
+     * @description Base class for nodes that output a collection of booleans
+     */
+    BooleanCollectionOutput: {
+      /**
+       * Type 
+       * @default boolean_collection_output 
+       * @enum {string}
+       */
+      type?: "boolean_collection_output";
+      /**
+       * Collection 
+       * @description The output boolean collection
+       */
+      collection?: (boolean)[];
+    };
+    /**
+     * Boolean Primitive 
+     * @description A boolean primitive value
+     */
+    BooleanInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default bool 
+       * @enum {string}
+       */
+      type: "bool";
+      /**
+       * A 
+       * @description The boolean value 
+       * @default false
+       */
+      a?: boolean;
+    };
+    /**
+     * BooleanOutput 
+     * @description Base class for nodes that output a single boolean
+     */
+    BooleanOutput: {
+      /**
+       * Type 
+       * @default boolean_output 
+       * @enum {string}
+       */
+      type?: "boolean_output";
+      /**
+       * A 
+       * @description The output boolean
+       */
+      a: boolean;
+    };
     /**
      * Canny Processor 
      * @description Canny edge detection for ControlNet
@@ -712,6 +775,23 @@ export type components = {
        */
       collection: (unknown)[];
     };
+    /**
+     * ColorCollectionOutput 
+     * @description Base class for nodes that output a collection of colors
+     */
+    ColorCollectionOutput: {
+      /**
+       * Type 
+       * @default color_collection_output 
+       * @enum {string}
+       */
+      type?: "color_collection_output";
+      /**
+       * Collection 
+       * @description The output colors
+       */
+      collection?: (components["schemas"]["ColorField"])[];
+    };
     /**
      * Color Correct 
      * @description Shifts the colors of a target image to match the reference image, optionally
@@ -757,7 +837,10 @@ export type components = {
        */
       mask_blur_radius?: number;
     };
-    /** ColorField */
+    /**
+     * ColorField 
+     * @description A color primitive field
+     */
     ColorField: {
       /**
        * R 
@@ -780,6 +863,57 @@ export type components = {
        */
       a: number;
     };
+    /**
+     * Color Primitive 
+     * @description A color primitive value
+     */
+    ColorInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default color 
+       * @enum {string}
+       */
+      type: "color";
+      /**
+       * Color 
+       * @description The color value 
+       * @default {
+       *   "r": 0,
+       *   "g": 0,
+       *   "b": 0,
+       *   "a": 255
+       * }
+       */
+      color?: components["schemas"]["ColorField"];
+    };
+    /**
+     * ColorOutput 
+     * @description Base class for nodes that output a single color
+     */
+    ColorOutput: {
+      /**
+       * Type 
+       * @default color_output 
+       * @enum {string}
+       */
+      type?: "color_output";
+      /**
+       * Color 
+       * @description The output color
+       */
+      color: components["schemas"]["ColorField"];
+    };
     /**
      * Compel Prompt 
      * @description Parse prompt using compel package to conditioning.
@@ -815,30 +949,78 @@ export type components = {
       clip?: components["schemas"]["ClipField"];
     };
     /**
-     * CompelOutput 
-     * @description Compel parser output
+     * ConditioningCollectionOutput 
+     * @description Base class for nodes that output a collection of conditioning tensors
      */
-    CompelOutput: {
+    ConditioningCollectionOutput: {
       /**
        * Type 
-       * @default compel_output 
+       * @default conditioning_collection_output 
        * @enum {string}
        */
-      type?: "compel_output";
+      type?: "conditioning_collection_output";
+      /**
+       * Collection 
+       * @description The output conditioning tensors
+       */
+      collection?: (components["schemas"]["ConditioningField"])[];
+    };
+    /**
+     * ConditioningField 
+     * @description A conditioning tensor primitive field
+     */
+    ConditioningField: {
+      /**
+       * Conditioning Name 
+       * @description The name of conditioning tensor
+       */
+      conditioning_name: string;
+    };
+    /**
+     * Conditioning 
+     * @description A conditioning tensor primitive value
+     */
+    ConditioningInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default conditioning 
+       * @enum {string}
+       */
+      type: "conditioning";
+      /**
+       * Conditioning 
+       * @description Conditioning tensor
+       */
+      conditioning?: components["schemas"]["ConditioningField"];
+    };
+    /**
+     * ConditioningOutput 
+     * @description Base class for nodes that output a single conditioning tensor
+     */
+    ConditioningOutput: {
+      /**
+       * Type 
+       * @default conditioning_output 
+       * @enum {string}
+       */
+      type?: "conditioning_output";
       /**
        * Conditioning 
        * @description Conditioning tensor
        */
       conditioning: components["schemas"]["ConditioningField"];
     };
-    /** ConditioningField */
-    ConditioningField: {
-      /**
-       * Conditioning Name 
-       * @description The name of conditioning data
-       */
-      conditioning_name: string;
-    };
     /**
      * Content Shuffle Processor 
      * @description Applies content shuffle processing to image
@@ -1507,7 +1689,7 @@ export type components = {
     };
     /**
      * FloatCollectionOutput 
-     * @description A collection of floats
+     * @description Base class for nodes that output a collection of floats
      */
     FloatCollectionOutput: {
       /**
@@ -1518,11 +1700,39 @@ export type components = {
       type?: "float_collection_output";
       /**
        * Collection 
-       * @description The float collection 
-       * @default []
+       * @description The float collection
        */
       collection?: (number)[];
     };
+    /**
+     * Float Primitive 
+     * @description A float primitive value
+     */
+    FloatInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default float 
+       * @enum {string}
+       */
+      type: "float";
+      /**
+       * Param 
+       * @description The float value 
+       * @default 0
+       */
+      param?: number;
+    };
     /**
      * Float Range 
      * @description Creates a range
@@ -1566,7 +1776,7 @@ export type components = {
     };
     /**
      * FloatOutput 
-     * @description A float output
+     * @description Base class for nodes that output a single float
      */
     FloatOutput: {
       /**
@@ -1579,7 +1789,7 @@ export type components = {
        * A 
        * @description The output float
        */
-      a?: number;
+      a: number;
     };
     /** Graph */
     Graph: {
@@ -1593,7 +1803,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: (components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
+        [key: string]: (components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
       };
       /**
        * Edges 
@@ -1636,7 +1846,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: (components["schemas"]["ImageOutput"] | components["schemas"]["MaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["CompelOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["PromptOutput"] | components["schemas"]["PromptCollectionOutput"] | components["schemas"]["IntOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["IntCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
+        [key: string]: (components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
       };
       /**
        * Errors 
@@ -1870,7 +2080,7 @@ export type components = {
     };
     /**
      * ImageCollectionOutput 
-     * @description A collection of images
+     * @description Base class for nodes that output a collection of images
      */
     ImageCollectionOutput: {
       /**
@@ -1881,8 +2091,7 @@ export type components = {
       type?: "image_collection_output";
       /**
        * Collection 
-       * @description The output images 
-       * @default []
+       * @description The output images
        */
       collection?: (components["schemas"]["ImageField"])[];
     };
@@ -2045,7 +2254,7 @@ export type components = {
     };
     /**
      * ImageField 
-     * @description An image field used for passing image objects between invocations
+     * @description An image primitive field
      */
     ImageField: {
       /**
@@ -2128,6 +2337,34 @@ export type components = {
        */
       max?: number;
     };
+    /**
+     * Image 
+     * @description An image primitive value
+     */
+    ImageInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default image 
+       * @enum {string}
+       */
+      type: "image";
+      /**
+       * Image 
+       * @description The image to load
+       */
+      image?: components["schemas"]["ImageField"];
+    };
     /**
      * Lerp Image 
      * @description Linear interpolation of all pixels of an image
@@ -2286,7 +2523,7 @@ export type components = {
     };
     /**
      * ImageOutput 
-     * @description Base class for invocations that output an image
+     * @description Base class for nodes that output a single image
      */
     ImageOutput: {
       /**
@@ -2294,7 +2531,7 @@ export type components = {
        * @default image_output 
        * @enum {string}
        */
-      type: "image_output";
+      type?: "image_output";
       /**
        * Image 
        * @description The output image
@@ -2746,10 +2983,10 @@ export type components = {
       seed?: number;
     };
     /**
-     * IntCollectionOutput 
-     * @description A collection of integers
+     * IntegerCollectionOutput 
+     * @description Base class for nodes that output a collection of integers
      */
-    IntCollectionOutput: {
+    IntegerCollectionOutput: {
       /**
        * Type 
        * @default int_collection_output 
@@ -2758,16 +2995,44 @@ export type components = {
       type?: "int_collection_output";
       /**
        * Collection 
-       * @description The int collection 
-       * @default []
+       * @description The int collection
        */
       collection?: (number)[];
     };
     /**
-     * IntOutput 
-     * @description An integer output
+     * Integer Primitive 
+     * @description An integer primitive value
      */
-    IntOutput: {
+    IntegerInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default int 
+       * @enum {string}
+       */
+      type: "int";
+      /**
+       * A 
+       * @description The integer value 
+       * @default 0
+       */
+      a?: number;
+    };
+    /**
+     * IntegerOutput 
+     * @description Base class for nodes that output a single integer
+     */
+    IntegerOutput: {
       /**
        * Type 
        * @default int_output 
@@ -2778,7 +3043,7 @@ export type components = {
        * A 
        * @description The output integer
        */
-      a?: number;
+      a: number;
     };
     /**
      * IterateInvocation 
@@ -2831,9 +3096,26 @@ export type components = {
        */
       item?: unknown;
     };
+    /**
+     * LatentsCollectionOutput 
+     * @description Base class for nodes that output a collection of latents tensors
+     */
+    LatentsCollectionOutput: {
+      /**
+       * Type 
+       * @default latents_collection_output 
+       * @enum {string}
+       */
+      type?: "latents_collection_output";
+      /**
+       * Latents 
+       * @description Latents tensor
+       */
+      latents?: (components["schemas"]["LatentsField"])[];
+    };
     /**
      * LatentsField 
-     * @description A latents field used for passing latents between invocations
+     * @description A latents tensor primitive field
      */
     LatentsField: {
       /**
@@ -2847,9 +3129,37 @@ export type components = {
        */
       seed?: number;
     };
+    /**
+     * Latents 
+     * @description A latents tensor primitive value
+     */
+    LatentsInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default latents 
+       * @enum {string}
+       */
+      type: "latents";
+      /**
+       * Latents 
+       * @description The latents tensor
+       */
+      latents?: components["schemas"]["LatentsField"];
+    };
     /**
      * LatentsOutput 
-     * @description Base class for invocations that output latents
+     * @description Base class for nodes that output a single latents tensor
      */
     LatentsOutput: {
       /**
@@ -3120,34 +3430,6 @@ export type components = {
      * @enum {string}
      */
     LoRAModelFormat: "lycoris" | "diffusers";
-    /**
-     * Load Image 
-     * @description Load an image and provide it as output.
-     */
-    LoadImageInvocation: {
-      /**
-       * Id 
-       * @description The id of this node. Must be unique among all nodes.
-       */
-      id: string;
-      /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
-       * @default false
-       */
-      is_intermediate?: boolean;
-      /**
-       * Type 
-       * @default load_image 
-       * @enum {string}
-       */
-      type: "load_image";
-      /**
-       * Image 
-       * @description The image to load
-       */
-      image?: components["schemas"]["ImageField"];
-    };
     /**
      * LogLevel 
      * @description An enumeration. 
@@ -3397,33 +3679,6 @@ export type components = {
        */
       invert?: boolean;
     };
-    /**
-     * MaskOutput 
-     * @description Base class for invocations that output a mask
-     */
-    MaskOutput: {
-      /**
-       * Type 
-       * @default mask 
-       * @enum {string}
-       */
-      type: "mask";
-      /**
-       * Mask 
-       * @description The output mask
-       */
-      mask: components["schemas"]["ImageField"];
-      /**
-       * Width 
-       * @description The width of the mask in pixels
-       */
-      width?: number;
-      /**
-       * Height 
-       * @description The height of the mask in pixels
-       */
-      height?: number;
-    };
     /**
      * Mediapipe Face Processor 
      * @description Applies mediapipe face processing to image
@@ -4342,122 +4597,6 @@ export type components = {
        */
       total: number;
     };
-    /**
-     * Float Parameter 
-     * @description A float parameter
-     */
-    ParamFloatInvocation: {
-      /**
-       * Id 
-       * @description The id of this node. Must be unique among all nodes.
-       */
-      id: string;
-      /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
-       * @default false
-       */
-      is_intermediate?: boolean;
-      /**
-       * Type 
-       * @default param_float 
-       * @enum {string}
-       */
-      type: "param_float";
-      /**
-       * Param 
-       * @description The float value 
-       * @default 0
-       */
-      param?: number;
-    };
-    /**
-     * Integer Parameter 
-     * @description An integer parameter
-     */
-    ParamIntInvocation: {
-      /**
-       * Id 
-       * @description The id of this node. Must be unique among all nodes.
-       */
-      id: string;
-      /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
-       * @default false
-       */
-      is_intermediate?: boolean;
-      /**
-       * Type 
-       * @default param_int 
-       * @enum {string}
-       */
-      type: "param_int";
-      /**
-       * A 
-       * @description The integer value 
-       * @default 0
-       */
-      a?: number;
-    };
-    /**
-     * Prompt Parameter 
-     * @description A prompt input parameter
-     */
-    ParamPromptInvocation: {
-      /**
-       * Id 
-       * @description The id of this node. Must be unique among all nodes.
-       */
-      id: string;
-      /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
-       * @default false
-       */
-      is_intermediate?: boolean;
-      /**
-       * Type 
-       * @default param_prompt 
-       * @enum {string}
-       */
-      type: "param_prompt";
-      /**
-       * Prompt 
-       * @description The prompt value 
-       * @default
-       */
-      prompt?: string;
-    };
-    /**
-     * String Parameter 
-     * @description A string parameter
-     */
-    ParamStringInvocation: {
-      /**
-       * Id 
-       * @description The id of this node. Must be unique among all nodes.
-       */
-      id: string;
-      /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
-       * @default false
-       */
-      is_intermediate?: boolean;
-      /**
-       * Type 
-       * @default param_string 
-       * @enum {string}
-       */
-      type: "param_string";
-      /**
-       * Text 
-       * @description The string value 
-       * @default
-       */
-      text?: string;
-    };
     /**
      * PIDI Processor 
      * @description Applies PIDI processing to image
@@ -4510,45 +4649,6 @@ export type components = {
        */
       scribble?: boolean;
     };
-    /**
-     * PromptCollectionOutput 
-     * @description Base class for invocations that output a collection of prompts
-     */
-    PromptCollectionOutput: {
-      /**
-       * Type 
-       * @default prompt_collection_output 
-       * @enum {string}
-       */
-      type?: "prompt_collection_output";
-      /**
-       * Prompt Collection 
-       * @description The output prompt collection
-       */
-      prompt_collection: (string)[];
-      /**
-       * Count 
-       * @description The size of the prompt collection
-       */
-      count: number;
-    };
-    /**
-     * PromptOutput 
-     * @description Base class for invocations that output a prompt
-     */
-    PromptOutput: {
-      /**
-       * Type 
-       * @default prompt 
-       * @enum {string}
-       */
-      type?: "prompt";
-      /**
-       * Prompt 
-       * @description The output prompt
-       */
-      prompt: string;
-    };
     /**
      * Prompts from File 
      * @description Loads prompts from a text file
@@ -5499,7 +5599,7 @@ export type components = {
     };
     /**
      * StringCollectionOutput 
-     * @description A collection of strings
+     * @description Base class for nodes that output a collection of strings
      */
     StringCollectionOutput: {
       /**
@@ -5510,14 +5610,42 @@ export type components = {
       type?: "string_collection_output";
       /**
        * Collection 
-       * @description The output strings 
-       * @default []
+       * @description The output strings
        */
       collection?: (string)[];
     };
+    /**
+     * String Primitive 
+     * @description A string primitive value
+     */
+    StringInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default string 
+       * @enum {string}
+       */
+      type: "string";
+      /**
+       * Text 
+       * @description The string value 
+       * @default
+       */
+      text?: string;
+    };
     /**
      * StringOutput 
-     * @description A string output
+     * @description Base class for nodes that output a single string
      */
     StringOutput: {
       /**
@@ -5815,7 +5943,7 @@ export type components = {
      * If a field should be provided a data type that does not exactly match the python type of the field,     use this to provide the type that should be used instead. See the node development docs for detail     on adding a new field type, which involves client-side changes. 
      * @enum {string}
      */
-    UITypeHint: "integer" | "float" | "boolean" | "string" | "enum" | "array" | "ImageField" | "LatentsField" | "ConditioningField" | "ControlField" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "UNetField" | "VaeField" | "ClipField" | "ColorField" | "ImageCollection" | "IntegerCollection" | "FloatCollection" | "StringCollection" | "BooleanCollection" | "Collection" | "CollectionItem" | "Seed" | "FilePath";
+    UITypeHint: "integer" | "float" | "boolean" | "string" | "array" | "ImageField" | "LatentsField" | "ConditioningField" | "ControlField" | "ColorField" | "ImageCollection" | "ConditioningCollection" | "ColorCollection" | "LatentsCollection" | "IntegerCollection" | "FloatCollection" | "StringCollection" | "BooleanCollection" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "UNetField" | "VaeField" | "ClipField" | "Collection" | "CollectionItem" | "FilePath" | "enum";
     /**
      * UIComponent 
      * @description The type of UI component to use for a field, used to override the default components, which are     inferred from the field type. 
@@ -5988,7 +6116,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -6025,7 +6153,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["LoadImageInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["ParamIntInvocation"] | components["schemas"]["ParamFloatInvocation"] | components["schemas"]["ParamStringInvocation"] | components["schemas"]["ParamPromptInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
diff --git a/invokeai/frontend/web/src/services/api/types.ts b/invokeai/frontend/web/src/services/api/types.ts
index 338f8d2849..f230354312 100644
--- a/invokeai/frontend/web/src/services/api/types.ts
+++ b/invokeai/frontend/web/src/services/api/types.ts
@@ -155,8 +155,6 @@ export type ZoeDepthImageProcessorInvocation =
 
 // Node Outputs
 export type ImageOutput = s['ImageOutput'];
-export type MaskOutput = s['MaskOutput'];
-export type PromptOutput = s['PromptOutput'];
 export type IterateInvocationOutput = s['IterateInvocationOutput'];
 export type CollectInvocationOutput = s['CollectInvocationOutput'];
 export type LatentsOutput = s['LatentsOutput'];
diff --git a/tests/nodes/test_node_graph.py b/tests/nodes/test_node_graph.py
index 0f893cb14c..b16eef95c8 100644
--- a/tests/nodes/test_node_graph.py
+++ b/tests/nodes/test_node_graph.py
@@ -19,7 +19,7 @@ from invokeai.app.services.graph import (
 from invokeai.app.invocations.upscale import ESRGANInvocation
 from invokeai.app.invocations.image import *
 from invokeai.app.invocations.math import AddInvocation, SubtractInvocation
-from invokeai.app.invocations.params import ParamIntInvocation
+from invokeai.app.invocations.primitives import IntegerInvocation
 from invokeai.app.services.default_graphs import create_text_to_image
 import pytest
 
@@ -499,8 +499,8 @@ def test_graph_subgraph_t2i():
 
     g.add_node(n1)
 
-    n2 = ParamIntInvocation(id="2", a=512)
-    n3 = ParamIntInvocation(id="3", a=256)
+    n2 = IntegerInvocation(id="2", a=512)
+    n3 = IntegerInvocation(id="3", a=256)
 
     g.add_node(n2)
     g.add_node(n3)

From 94bfef35433ecfdc17829b2155b2798878eef490 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 14 Aug 2023 19:42:40 +1000
Subject: [PATCH 231/287] feat(ui): add UI component for unknown node types

---
 .../nodes/components/nodes/InvocationNode.tsx | 55 ++++++++++++++-----
 1 file changed, 41 insertions(+), 14 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNode.tsx b/invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNode.tsx
index f5274bf966..4e8369c4ff 100644
--- a/invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNode.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNode.tsx
@@ -1,10 +1,10 @@
-import { Flex, Icon } from '@chakra-ui/react';
+import { Box, Flex, Text } from '@chakra-ui/react';
 import { useAppSelector } from 'app/store/storeHooks';
 import { makeTemplateSelector } from 'features/nodes/store/util/makeTemplateSelector';
+import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
 import { InvocationNodeData } from 'features/nodes/types/types';
 import { map } from 'lodash-es';
 import { memo, useMemo } from 'react';
-import { FaExclamationCircle } from 'react-icons/fa';
 import { NodeProps } from 'reactflow';
 import NodeCollapseButton from '../Invocation/NodeCollapseButton';
 import NodeCollapsedHandles from '../Invocation/NodeCollapsedHandles';
@@ -32,25 +32,52 @@ const InvocationNode = (props: NodeProps<InvocationNodeData>) => {
     return (
       <NodeWrapper nodeProps={props}>
         <Flex
-          layerStyle="nodeBody"
-          className="nopan"
+          className={DRAG_HANDLE_CLASSNAME}
+          layerStyle="nodeHeader"
           sx={{
+            borderTopRadius: 'base',
+            borderBottomRadius: isOpen ? 0 : 'base',
             alignItems: 'center',
-            justifyContent: 'center',
-            cursor: 'auto',
-            w: 'full',
-            h: 'full',
+            h: 8,
+            fontWeight: 600,
+            fontSize: 'sm',
           }}
         >
-          <Icon
-            as={FaExclamationCircle}
+          <NodeCollapseButton nodeProps={props} />
+          <Text
             sx={{
-              boxSize: 32,
-              color: 'base.600',
-              _dark: { color: 'base.400' },
+              w: 'full',
+              textAlign: 'center',
+              pe: 8,
+              color: 'error.500',
+              _dark: { color: 'error.300' },
             }}
-          ></Icon>
+          >
+            {data.label ? `${data.label} (${data.type})` : data.type}
+          </Text>
         </Flex>
+        {isOpen && (
+          <Flex
+            layerStyle="nodeBody"
+            sx={{
+              userSelect: 'auto',
+              flexDirection: 'column',
+              w: 'full',
+              h: 'full',
+              p: 4,
+              gap: 1,
+              borderBottomRadius: 'base',
+              fontSize: 'sm',
+            }}
+          >
+            <Box>
+              <Text as="span">Unknown node type: </Text>
+              <Text as="span" fontWeight={600}>
+                {data.type}
+              </Text>
+            </Box>
+          </Flex>
+        )}
       </NodeWrapper>
     );
   }

From f65c8092cbad12c04a6580ff25ad239ce65d0116 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 14 Aug 2023 19:49:58 +1000
Subject: [PATCH 232/287] fix(ui): fix issue with node editor state not
 restoring correctly on mount

If `reactflow` initializes before the node templates are parsed, edges may not be rendered and the viewport may get reset.

- Add `isReady` state to `NodesState`. This is false when we are loading or parsing node templates and true when that is finished.
- Conditionally render `reactflow` based on `isReady`.
- Add `viewport` to `NodesState` & handlers to keep it synced. This allows `reactflow` to mount and unmount freely and not lose viewport.
---
 .../dnd/hooks/useScaledCenteredModifer.ts     |  3 +-
 .../src/features/nodes/components/Flow.tsx    | 23 +++---
 .../features/nodes/components/NodeEditor.tsx  | 74 +++++++++++++++++--
 .../nodes/store/nodesPersistDenylist.ts       |  1 +
 .../src/features/nodes/store/nodesSlice.ts    | 14 +++-
 .../web/src/features/nodes/store/types.ts     |  5 +-
 6 files changed, 96 insertions(+), 24 deletions(-)

diff --git a/invokeai/frontend/web/src/features/dnd/hooks/useScaledCenteredModifer.ts b/invokeai/frontend/web/src/features/dnd/hooks/useScaledCenteredModifer.ts
index ad7ef5ad2c..f9ba273bdd 100644
--- a/invokeai/frontend/web/src/features/dnd/hooks/useScaledCenteredModifer.ts
+++ b/invokeai/frontend/web/src/features/dnd/hooks/useScaledCenteredModifer.ts
@@ -8,7 +8,8 @@ import { useCallback } from 'react';
 
 const selectZoom = createSelector(
   [stateSelector, activeTabNameSelector],
-  ({ nodes }, activeTabName) => (activeTabName === 'nodes' ? nodes.zoom : 1)
+  ({ nodes }, activeTabName) =>
+    activeTabName === 'nodes' ? nodes.viewport.zoom : 1
 );
 
 /**
diff --git a/invokeai/frontend/web/src/features/nodes/components/Flow.tsx b/invokeai/frontend/web/src/features/nodes/components/Flow.tsx
index 71062e9774..8234a6a7fa 100644
--- a/invokeai/frontend/web/src/features/nodes/components/Flow.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Flow.tsx
@@ -1,3 +1,4 @@
+import { useToken } from '@chakra-ui/react';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { useCallback } from 'react';
 import {
@@ -7,8 +8,7 @@ import {
   OnConnectStart,
   OnEdgesChange,
   OnEdgesDelete,
-  OnInit,
-  OnMove,
+  OnMoveEnd,
   OnNodesChange,
   OnNodesDelete,
   OnSelectionChangeFunc,
@@ -26,7 +26,7 @@ import {
   nodesDeleted,
   selectedEdgesChanged,
   selectedNodesChanged,
-  zoomChanged,
+  viewportChanged,
 } from '../store/nodesSlice';
 import { CustomConnectionLine } from './CustomConnectionLine';
 import { edgeTypes } from './CustomEdges';
@@ -44,12 +44,15 @@ export const Flow = () => {
   const dispatch = useAppDispatch();
   const nodes = useAppSelector((state) => state.nodes.nodes);
   const edges = useAppSelector((state) => state.nodes.edges);
+  const viewport = useAppSelector((state) => state.nodes.viewport);
   const shouldSnapToGrid = useAppSelector(
     (state) => state.nodes.shouldSnapToGrid
   );
 
   const isValidConnection = useIsValidConnection();
 
+  const [borderRadius] = useToken('radii', ['base']);
+
   const onNodesChange: OnNodesChange = useCallback(
     (changes) => {
       dispatch(nodesChanged(changes));
@@ -82,10 +85,6 @@ export const Flow = () => {
     dispatch(connectionEnded());
   }, [dispatch]);
 
-  const onInit: OnInit = useCallback((v) => {
-    v.fitView();
-  }, []);
-
   const onEdgesDelete: OnEdgesDelete = useCallback(
     (edges) => {
       dispatch(edgesDeleted(edges));
@@ -108,16 +107,16 @@ export const Flow = () => {
     [dispatch]
   );
 
-  const handleMove: OnMove = useCallback(
+  const handleMoveEnd: OnMoveEnd = useCallback(
     (e, viewport) => {
-      const { zoom } = viewport;
-      dispatch(zoomChanged(zoom));
+      dispatch(viewportChanged(viewport));
     },
     [dispatch]
   );
 
   return (
     <ReactFlow
+      defaultViewport={viewport}
       nodeTypes={nodeTypes}
       edgeTypes={edgeTypes}
       nodes={nodes}
@@ -129,16 +128,16 @@ export const Flow = () => {
       onConnectStart={onConnectStart}
       onConnect={onConnect}
       onConnectEnd={onConnectEnd}
-      onMove={handleMove}
+      onMoveEnd={handleMoveEnd}
       connectionLineComponent={CustomConnectionLine}
       onSelectionChange={handleSelectionChange}
-      onInit={onInit}
       isValidConnection={isValidConnection}
       minZoom={0.2}
       snapToGrid={shouldSnapToGrid}
       snapGrid={[25, 25]}
       connectionRadius={30}
       proOptions={proOptions}
+      style={{ borderRadius }}
     >
       <TopLeftPanel />
       <TopCenterPanel />
diff --git a/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx b/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx
index 8af9fefa90..6920a2053b 100644
--- a/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx
@@ -1,13 +1,18 @@
-import { Box } from '@chakra-ui/react';
+import { Flex } from '@chakra-ui/react';
+import { useAppSelector } from 'app/store/storeHooks';
+import { IAINoContentFallback } from 'common/components/IAIImageFallback';
 import ResizeHandle from 'features/ui/components/tabs/ResizeHandle';
 import { memo, useState } from 'react';
+import { MdDeviceHub } from 'react-icons/md';
 import { Panel, PanelGroup } from 'react-resizable-panels';
 import 'reactflow/dist/style.css';
-import { Flow } from './Flow';
 import NodeEditorPanelGroup from './panel/NodeEditorPanelGroup';
+import { Flow } from './Flow';
+import { AnimatePresence, motion } from 'framer-motion';
 
 const NodeEditor = () => {
   const [isPanelCollapsed, setIsPanelCollapsed] = useState(false);
+  const isReady = useAppSelector((state) => state.nodes.isReady);
   return (
     <PanelGroup
       id="node-editor"
@@ -27,17 +32,76 @@ const NodeEditor = () => {
         collapsedDirection={isPanelCollapsed ? 'left' : undefined}
       />
       <Panel id="node-editor-content">
-        <Box
+        <Flex
           layerStyle={'first'}
           sx={{
             position: 'relative',
             width: 'full',
             height: 'full',
             borderRadius: 'base',
+            alignItems: 'center',
+            justifyContent: 'center',
           }}
         >
-          <Flow />
-        </Box>
+          <AnimatePresence>
+            {isReady && (
+              <motion.div
+                layoutId="node-editor-flow"
+                initial={{
+                  opacity: 0,
+                }}
+                animate={{
+                  opacity: 1,
+                  transition: { duration: 0.2 },
+                }}
+                exit={{
+                  opacity: 0,
+                  transition: { duration: 0.2 },
+                }}
+                style={{ width: '100%', height: '100%' }}
+              >
+                <Flow />
+              </motion.div>
+            )}
+          </AnimatePresence>
+          <AnimatePresence>
+            {!isReady && (
+              <motion.div
+                layoutId="node-editor-loading"
+                initial={{
+                  opacity: 0,
+                }}
+                animate={{
+                  opacity: 1,
+                  transition: { duration: 0.2 },
+                }}
+                exit={{
+                  opacity: 0,
+                  transition: { duration: 0.2 },
+                }}
+                style={{ position: 'absolute', width: '100%', height: '100%' }}
+              >
+                <Flex
+                  layerStyle={'first'}
+                  sx={{
+                    position: 'relative',
+                    width: 'full',
+                    height: 'full',
+                    borderRadius: 'base',
+                    alignItems: 'center',
+                    justifyContent: 'center',
+                    pointerEvents: 'none',
+                  }}
+                >
+                  <IAINoContentFallback
+                    label="Loading Nodes..."
+                    icon={MdDeviceHub}
+                  />
+                </Flex>
+              </motion.div>
+            )}
+          </AnimatePresence>
+        </Flex>
       </Panel>
     </PanelGroup>
   );
diff --git a/invokeai/frontend/web/src/features/nodes/store/nodesPersistDenylist.ts b/invokeai/frontend/web/src/features/nodes/store/nodesPersistDenylist.ts
index 60344abf37..cf3ee3918c 100644
--- a/invokeai/frontend/web/src/features/nodes/store/nodesPersistDenylist.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/nodesPersistDenylist.ts
@@ -10,4 +10,5 @@ export const nodesPersistDenylist: (keyof NodesState)[] = [
   'currentConnectionFieldType',
   'selectedNodes',
   'selectedEdges',
+  'isReady',
 ];
diff --git a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
index 8878d24370..437980d436 100644
--- a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
@@ -14,6 +14,7 @@ import {
   Node,
   NodeChange,
   OnConnectStartParams,
+  Viewport,
 } from 'reactflow';
 import { receivedOpenAPISchema } from 'services/api/thunks/schema';
 import { sessionInvoked } from 'services/api/thunks/session';
@@ -56,6 +57,7 @@ export const initialNodesState: NodesState = {
   edges: [],
   schema: null,
   nodeTemplates: {},
+  isReady: false,
   connectionStartParams: null,
   currentConnectionFieldType: null,
   shouldShowFieldTypeLegend: false,
@@ -78,7 +80,7 @@ export const initialNodesState: NodesState = {
     exposedFields: [],
   },
   nodeExecutionStates: {},
-  zoom: 1,
+  viewport: { x: 0, y: 0, zoom: 1 },
 };
 
 type FieldValueAction<T extends InputFieldValue> = PayloadAction<{
@@ -521,6 +523,7 @@ const nodesSlice = createSlice({
       action: PayloadAction<Record<string, InvocationTemplate>>
     ) => {
       state.nodeTemplates = action.payload;
+      state.isReady = true;
     },
     nodeEditorReset: (state) => {
       state.nodes = [];
@@ -587,11 +590,14 @@ const nodesSlice = createSlice({
         []
       );
     },
-    zoomChanged: (state, action: PayloadAction<number>) => {
-      state.zoom = action.payload;
+    viewportChanged: (state, action: PayloadAction<Viewport>) => {
+      state.viewport = action.payload;
     },
   },
   extraReducers: (builder) => {
+    builder.addCase(receivedOpenAPISchema.pending, (state) => {
+      state.isReady = false;
+    });
     builder.addCase(receivedOpenAPISchema.fulfilled, (state, action) => {
       state.schema = action.payload;
     });
@@ -693,7 +699,7 @@ export const {
   workflowExposedFieldAdded,
   workflowExposedFieldRemoved,
   fieldLabelChanged,
-  zoomChanged,
+  viewportChanged,
 } = nodesSlice.actions;
 
 export default nodesSlice.reducer;
diff --git a/invokeai/frontend/web/src/features/nodes/store/types.ts b/invokeai/frontend/web/src/features/nodes/store/types.ts
index 578adddcee..27e25b8731 100644
--- a/invokeai/frontend/web/src/features/nodes/store/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/types.ts
@@ -1,5 +1,5 @@
 import { OpenAPIV3 } from 'openapi-types';
-import { Edge, Node, OnConnectStartParams } from 'reactflow';
+import { Edge, Node, OnConnectStartParams, Viewport } from 'reactflow';
 import {
   FieldType,
   InvocationEdgeExtra,
@@ -27,5 +27,6 @@ export type NodesState = {
   selectedEdges: string[];
   workflow: Omit<Workflow, 'nodes' | 'edges'>;
   nodeExecutionStates: Record<string, NodeExecutionState>;
-  zoom: number;
+  viewport: Viewport;
+  isReady: boolean;
 };

From b1ad777f5a153e43cdf6a6009fcd8342b8641e6b Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 15 Aug 2023 20:04:04 +1200
Subject: [PATCH 233/287] fix: Outpainting being broken due to field name
 change

---
 .../nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts        | 2 +-
 .../nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts    | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
index 97688bd154..b9c3d5e28e 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
@@ -254,7 +254,7 @@ export const buildCanvasOutpaintGraph = (
       {
         source: {
           node_id: MASK_FROM_ALPHA,
-          field: 'mask',
+          field: 'image',
         },
         destination: {
           node_id: MASK_COMBINE,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index 6bffb83b6e..4d098f959f 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -268,7 +268,7 @@ export const buildCanvasSDXLOutpaintGraph = (
       {
         source: {
           node_id: MASK_FROM_ALPHA,
-          field: 'mask',
+          field: 'image',
         },
         destination: {
           node_id: MASK_COMBINE,

From d5f7027597075209b8828394851facf8f3c999da Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 15 Aug 2023 20:14:46 +1200
Subject: [PATCH 234/287] feat: Save Mask option for Canvas

---
 .../middleware/listenerMiddleware/index.ts    |  4 +-
 .../listeners/canvasMaskSavedToGallery.ts     | 60 +++++++++++++++++++
 .../IAICanvasToolbar/IAICanvasMaskOptions.tsx | 12 +++-
 .../web/src/features/canvas/store/actions.ts  |  4 ++
 4 files changed, 77 insertions(+), 3 deletions(-)
 create mode 100644 invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskSavedToGallery.ts

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
index c15b072a07..2c551c5f2d 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
@@ -15,6 +15,7 @@ import { addDeleteBoardAndImagesFulfilledListener } from './listeners/boardAndIm
 import { addBoardIdSelectedListener } from './listeners/boardIdSelected';
 import { addCanvasCopiedToClipboardListener } from './listeners/canvasCopiedToClipboard';
 import { addCanvasDownloadedAsImageListener } from './listeners/canvasDownloadedAsImage';
+import { addCanvasMaskSavedToGalleryListener } from './listeners/canvasMaskSavedToGallery';
 import { addCanvasMergedListener } from './listeners/canvasMerged';
 import { addCanvasSavedToGalleryListener } from './listeners/canvasSavedToGallery';
 import { addControlNetAutoProcessListener } from './listeners/controlNetAutoProcess';
@@ -27,8 +28,8 @@ import {
   addImageDeletedFulfilledListener,
   addImageDeletedPendingListener,
   addImageDeletedRejectedListener,
-  addRequestedSingleImageDeletionListener,
   addRequestedMultipleImageDeletionListener,
+  addRequestedSingleImageDeletionListener,
 } from './listeners/imageDeleted';
 import { addImageDroppedListener } from './listeners/imageDropped';
 import {
@@ -129,6 +130,7 @@ addSessionReadyToInvokeListener();
 
 // Canvas actions
 addCanvasSavedToGalleryListener();
+addCanvasMaskSavedToGalleryListener();
 addCanvasDownloadedAsImageListener();
 addCanvasCopiedToClipboardListener();
 addCanvasMergedListener();
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskSavedToGallery.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskSavedToGallery.ts
new file mode 100644
index 0000000000..e701b93352
--- /dev/null
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMaskSavedToGallery.ts
@@ -0,0 +1,60 @@
+import { logger } from 'app/logging/logger';
+import { canvasMaskSavedToGallery } from 'features/canvas/store/actions';
+import { getCanvasData } from 'features/canvas/util/getCanvasData';
+import { addToast } from 'features/system/store/systemSlice';
+import { imagesApi } from 'services/api/endpoints/images';
+import { startAppListening } from '..';
+
+export const addCanvasMaskSavedToGalleryListener = () => {
+  startAppListening({
+    actionCreator: canvasMaskSavedToGallery,
+    effect: async (action, { dispatch, getState }) => {
+      const log = logger('canvas');
+      const state = getState();
+
+      const canvasBlobsAndImageData = await getCanvasData(
+        state.canvas.layerState,
+        state.canvas.boundingBoxCoordinates,
+        state.canvas.boundingBoxDimensions,
+        state.canvas.isMaskEnabled,
+        state.canvas.shouldPreserveMaskedArea
+      );
+
+      if (!canvasBlobsAndImageData) {
+        return;
+      }
+
+      const { maskBlob } = canvasBlobsAndImageData;
+
+      if (!maskBlob) {
+        log.error('Problem getting mask layer blob');
+        dispatch(
+          addToast({
+            title: 'Problem Saving Mask',
+            description: 'Unable to export mask',
+            status: 'error',
+          })
+        );
+        return;
+      }
+
+      const { autoAddBoardId } = state.gallery;
+
+      dispatch(
+        imagesApi.endpoints.uploadImage.initiate({
+          file: new File([maskBlob], 'canvasMaskImage.png', {
+            type: 'image/png',
+          }),
+          image_category: 'mask',
+          is_intermediate: false,
+          board_id: autoAddBoardId === 'none' ? undefined : autoAddBoardId,
+          crop_visible: true,
+          postUploadAction: {
+            type: 'TOAST',
+            toastOptions: { title: 'Mask Saved to Assets' },
+          },
+        })
+      );
+    },
+  });
+};
diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasMaskOptions.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasMaskOptions.tsx
index 2f74e5542a..25ef295631 100644
--- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasMaskOptions.tsx
+++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasMaskOptions.tsx
@@ -2,10 +2,11 @@ import { ButtonGroup, Flex } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIButton from 'common/components/IAIButton';
-import IAISimpleCheckbox from 'common/components/IAISimpleCheckbox';
 import IAIColorPicker from 'common/components/IAIColorPicker';
 import IAIIconButton from 'common/components/IAIIconButton';
 import IAIPopover from 'common/components/IAIPopover';
+import IAISimpleCheckbox from 'common/components/IAISimpleCheckbox';
+import { canvasMaskSavedToGallery } from 'features/canvas/store/actions';
 import {
   canvasSelector,
   isStagingSelector,
@@ -22,7 +23,7 @@ import { isEqual } from 'lodash-es';
 
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
-import { FaMask, FaTrash } from 'react-icons/fa';
+import { FaMask, FaSave, FaTrash } from 'react-icons/fa';
 
 export const selector = createSelector(
   [canvasSelector, isStagingSelector],
@@ -102,6 +103,10 @@ const IAICanvasMaskOptions = () => {
   const handleToggleEnableMask = () =>
     dispatch(setIsMaskEnabled(!isMaskEnabled));
 
+  const handleSaveMask = async () => {
+    dispatch(canvasMaskSavedToGallery());
+  };
+
   return (
     <IAIPopover
       triggerComponent={
@@ -134,6 +139,9 @@ const IAICanvasMaskOptions = () => {
           pickerColor={maskColor}
           onChange={(newColor) => dispatch(setMaskColor(newColor))}
         />
+        <IAIButton size="sm" leftIcon={<FaSave />} onClick={handleSaveMask}>
+          Save Mask
+        </IAIButton>
         <IAIButton size="sm" leftIcon={<FaTrash />} onClick={handleClearMask}>
           {t('unifiedCanvas.clearMask')} (Shift+C)
         </IAIButton>
diff --git a/invokeai/frontend/web/src/features/canvas/store/actions.ts b/invokeai/frontend/web/src/features/canvas/store/actions.ts
index 1f491874a0..b4efa76e42 100644
--- a/invokeai/frontend/web/src/features/canvas/store/actions.ts
+++ b/invokeai/frontend/web/src/features/canvas/store/actions.ts
@@ -3,6 +3,10 @@ import { ImageDTO } from 'services/api/types';
 
 export const canvasSavedToGallery = createAction('canvas/canvasSavedToGallery');
 
+export const canvasMaskSavedToGallery = createAction(
+  'canvas/canvasMaskSavedToGallery'
+);
+
 export const canvasCopiedToClipboard = createAction(
   'canvas/canvasCopiedToClipboard'
 );

From 75ea716c134a6a5595add4f7c71414c498bdddf2 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Tue, 15 Aug 2023 18:24:40 +1000
Subject: [PATCH 235/287] feat(ui): hide node footer if there is nothing to
 display

---
 .../features/nodes/components/CustomNodes.tsx |   4 +-
 .../components/Invocation/InvocationNode.tsx  |  84 ++++++++++
 .../components/Invocation/NodeFooter.tsx      |   5 +-
 .../components/Invocation/NodeHeader.tsx      |  54 ++++++
 .../Invocation/UnknownNodeFallback.tsx        |  69 ++++++++
 .../nodes/components/nodes/InvocationNode.tsx | 154 ------------------
 .../nodes/InvocationNodeWrapper.tsx           |  24 +++
 7 files changed, 237 insertions(+), 157 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/Invocation/InvocationNode.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/Invocation/NodeHeader.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/Invocation/UnknownNodeFallback.tsx
 delete mode 100644 invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNode.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNodeWrapper.tsx

diff --git a/invokeai/frontend/web/src/features/nodes/components/CustomNodes.tsx b/invokeai/frontend/web/src/features/nodes/components/CustomNodes.tsx
index 3aacb3cd58..be845df435 100644
--- a/invokeai/frontend/web/src/features/nodes/components/CustomNodes.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/CustomNodes.tsx
@@ -1,9 +1,9 @@
-import InvocationNode from './nodes/InvocationNode';
 import CurrentImageNode from './nodes/CurrentImageNode';
+import InvocationNodeWrapper from './nodes/InvocationNodeWrapper';
 import NotesNode from './nodes/NotesNode';
 
 export const nodeTypes = {
-  invocation: InvocationNode,
+  invocation: InvocationNodeWrapper,
   current_image: CurrentImageNode,
   notes: NotesNode,
 };
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/InvocationNode.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/InvocationNode.tsx
new file mode 100644
index 0000000000..a86b52060b
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/InvocationNode.tsx
@@ -0,0 +1,84 @@
+import { Flex } from '@chakra-ui/react';
+import {
+  InvocationNodeData,
+  InvocationTemplate,
+} from 'features/nodes/types/types';
+import { map, some } from 'lodash-es';
+import { memo, useMemo } from 'react';
+import { NodeProps } from 'reactflow';
+import InputField from '../fields/InputField';
+import OutputField from '../fields/OutputField';
+import NodeFooter, { FOOTER_FIELDS } from './NodeFooter';
+import NodeHeader from './NodeHeader';
+import NodeWrapper from './NodeWrapper';
+
+type Props = {
+  nodeProps: NodeProps<InvocationNodeData>;
+  nodeTemplate: InvocationTemplate;
+};
+
+const InvocationNode = ({ nodeProps, nodeTemplate }: Props) => {
+  const { id: nodeId, data } = nodeProps;
+  const { inputs, outputs, isOpen } = data;
+
+  const inputFields = useMemo(
+    () => map(inputs).filter((i) => i.name !== 'is_intermediate'),
+    [inputs]
+  );
+  const outputFields = useMemo(() => map(outputs), [outputs]);
+
+  const withFooter = useMemo(
+    () => some(outputs, (output) => FOOTER_FIELDS.includes(output.type)),
+    [outputs]
+  );
+
+  return (
+    <NodeWrapper nodeProps={nodeProps}>
+      <NodeHeader nodeProps={nodeProps} nodeTemplate={nodeTemplate} />
+      {isOpen && (
+        <>
+          <Flex
+            layerStyle="nodeBody"
+            className={'nopan'}
+            sx={{
+              cursor: 'auto',
+              flexDirection: 'column',
+              w: 'full',
+              h: 'full',
+              py: 1,
+              gap: 1,
+              borderBottomRadius: withFooter ? 0 : 'base',
+            }}
+          >
+            <Flex
+              className="nopan"
+              sx={{ flexDir: 'column', px: 2, w: 'full', h: 'full' }}
+            >
+              {outputFields.map((field) => (
+                <OutputField
+                  key={`${nodeId}.${field.id}.input-field`}
+                  nodeProps={nodeProps}
+                  nodeTemplate={nodeTemplate}
+                  field={field}
+                />
+              ))}
+              {inputFields.map((field) => (
+                <InputField
+                  key={`${nodeId}.${field.id}.input-field`}
+                  nodeProps={nodeProps}
+                  nodeTemplate={nodeTemplate}
+                  field={field}
+                />
+              ))}
+            </Flex>
+          </Flex>
+          {withFooter && (
+            <NodeFooter nodeProps={nodeProps} nodeTemplate={nodeTemplate} />
+          )}
+        </>
+      )}
+    </NodeWrapper>
+  );
+};
+
+export default memo(InvocationNode);
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx
index 3c513ed29a..38c2001b99 100644
--- a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx
@@ -16,6 +16,9 @@ import { some } from 'lodash-es';
 import { ChangeEvent, memo, useCallback, useMemo } from 'react';
 import { NodeProps } from 'reactflow';
 
+export const IMAGE_FIELDS = ['ImageField', 'ImageCollection'];
+export const FOOTER_FIELDS = IMAGE_FIELDS;
+
 type Props = {
   nodeProps: NodeProps<InvocationNodeData>;
   nodeTemplate: InvocationTemplate;
@@ -28,7 +31,7 @@ const NodeFooter = (props: Props) => {
   const hasImageOutput = useMemo(
     () =>
       some(nodeTemplate?.outputs, (output) =>
-        ['ImageField', 'ImageCollection'].includes(output.type)
+        IMAGE_FIELDS.includes(output.type)
       ),
     [nodeTemplate?.outputs]
   );
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeHeader.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeHeader.tsx
new file mode 100644
index 0000000000..a946d21581
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeHeader.tsx
@@ -0,0 +1,54 @@
+import { Flex } from '@chakra-ui/react';
+import {
+  InvocationNodeData,
+  InvocationTemplate,
+} from 'features/nodes/types/types';
+import { memo } from 'react';
+import { NodeProps } from 'reactflow';
+import NodeCollapseButton from '../Invocation/NodeCollapseButton';
+import NodeCollapsedHandles from '../Invocation/NodeCollapsedHandles';
+import NodeNotesEdit from '../Invocation/NodeNotesEdit';
+import NodeStatusIndicator from '../Invocation/NodeStatusIndicator';
+import NodeTitle from '../Invocation/NodeTitle';
+
+type Props = {
+  nodeProps: NodeProps<InvocationNodeData>;
+  nodeTemplate: InvocationTemplate;
+};
+
+const NodeHeader = (props: Props) => {
+  const { nodeProps, nodeTemplate } = props;
+  const { isOpen } = nodeProps.data;
+
+  return (
+    <Flex
+      layerStyle="nodeHeader"
+      sx={{
+        borderTopRadius: 'base',
+        borderBottomRadius: isOpen ? 0 : 'base',
+        alignItems: 'center',
+        justifyContent: 'space-between',
+        h: 8,
+        textAlign: 'center',
+        fontWeight: 600,
+        color: 'base.700',
+        _dark: { color: 'base.200' },
+      }}
+    >
+      <NodeCollapseButton nodeProps={nodeProps} />
+      <NodeTitle nodeData={nodeProps.data} title={nodeTemplate.title} />
+      <Flex alignItems="center">
+        <NodeStatusIndicator nodeProps={nodeProps} />
+        <NodeNotesEdit nodeProps={nodeProps} nodeTemplate={nodeTemplate} />
+      </Flex>
+      {!isOpen && (
+        <NodeCollapsedHandles
+          nodeProps={nodeProps}
+          nodeTemplate={nodeTemplate}
+        />
+      )}
+    </Flex>
+  );
+};
+
+export default memo(NodeHeader);
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/UnknownNodeFallback.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/UnknownNodeFallback.tsx
new file mode 100644
index 0000000000..a16c6960ec
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/UnknownNodeFallback.tsx
@@ -0,0 +1,69 @@
+import { Box, Flex, Text } from '@chakra-ui/react';
+import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
+import { InvocationNodeData } from 'features/nodes/types/types';
+import { memo } from 'react';
+import { NodeProps } from 'reactflow';
+import NodeCollapseButton from '../Invocation/NodeCollapseButton';
+import NodeWrapper from '../Invocation/NodeWrapper';
+
+type Props = {
+  nodeProps: NodeProps<InvocationNodeData>;
+};
+
+const UnknownNodeFallback = ({ nodeProps }: Props) => {
+  const { data } = nodeProps;
+  const { isOpen, label, type } = data;
+  return (
+    <NodeWrapper nodeProps={nodeProps}>
+      <Flex
+        className={DRAG_HANDLE_CLASSNAME}
+        layerStyle="nodeHeader"
+        sx={{
+          borderTopRadius: 'base',
+          borderBottomRadius: isOpen ? 0 : 'base',
+          alignItems: 'center',
+          h: 8,
+          fontWeight: 600,
+          fontSize: 'sm',
+        }}
+      >
+        <NodeCollapseButton nodeProps={nodeProps} />
+        <Text
+          sx={{
+            w: 'full',
+            textAlign: 'center',
+            pe: 8,
+            color: 'error.500',
+            _dark: { color: 'error.300' },
+          }}
+        >
+          {label ? `${label} (${type})` : type}
+        </Text>
+      </Flex>
+      {isOpen && (
+        <Flex
+          layerStyle="nodeBody"
+          sx={{
+            userSelect: 'auto',
+            flexDirection: 'column',
+            w: 'full',
+            h: 'full',
+            p: 4,
+            gap: 1,
+            borderBottomRadius: 'base',
+            fontSize: 'sm',
+          }}
+        >
+          <Box>
+            <Text as="span">Unknown node type: </Text>
+            <Text as="span" fontWeight={600}>
+              {type}
+            </Text>
+          </Box>
+        </Flex>
+      )}
+    </NodeWrapper>
+  );
+};
+
+export default memo(UnknownNodeFallback);
diff --git a/invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNode.tsx b/invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNode.tsx
deleted file mode 100644
index 4e8369c4ff..0000000000
--- a/invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNode.tsx
+++ /dev/null
@@ -1,154 +0,0 @@
-import { Box, Flex, Text } from '@chakra-ui/react';
-import { useAppSelector } from 'app/store/storeHooks';
-import { makeTemplateSelector } from 'features/nodes/store/util/makeTemplateSelector';
-import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
-import { InvocationNodeData } from 'features/nodes/types/types';
-import { map } from 'lodash-es';
-import { memo, useMemo } from 'react';
-import { NodeProps } from 'reactflow';
-import NodeCollapseButton from '../Invocation/NodeCollapseButton';
-import NodeCollapsedHandles from '../Invocation/NodeCollapsedHandles';
-import NodeFooter from '../Invocation/NodeFooter';
-import NodeNotesEdit from '../Invocation/NodeNotesEdit';
-import NodeStatusIndicator from '../Invocation/NodeStatusIndicator';
-import NodeTitle from '../Invocation/NodeTitle';
-import NodeWrapper from '../Invocation/NodeWrapper';
-import InputField from '../fields/InputField';
-import OutputField from '../fields/OutputField';
-
-const InvocationNode = (props: NodeProps<InvocationNodeData>) => {
-  const { id: nodeId, data } = props;
-  const { type, inputs, outputs, isOpen } = data;
-
-  const templateSelector = useMemo(() => makeTemplateSelector(type), [type]);
-  const nodeTemplate = useAppSelector(templateSelector);
-  const inputFields = useMemo(
-    () => map(inputs).filter((i) => i.name !== 'is_intermediate'),
-    [inputs]
-  );
-  const outputFields = useMemo(() => map(outputs), [outputs]);
-
-  if (!nodeTemplate) {
-    return (
-      <NodeWrapper nodeProps={props}>
-        <Flex
-          className={DRAG_HANDLE_CLASSNAME}
-          layerStyle="nodeHeader"
-          sx={{
-            borderTopRadius: 'base',
-            borderBottomRadius: isOpen ? 0 : 'base',
-            alignItems: 'center',
-            h: 8,
-            fontWeight: 600,
-            fontSize: 'sm',
-          }}
-        >
-          <NodeCollapseButton nodeProps={props} />
-          <Text
-            sx={{
-              w: 'full',
-              textAlign: 'center',
-              pe: 8,
-              color: 'error.500',
-              _dark: { color: 'error.300' },
-            }}
-          >
-            {data.label ? `${data.label} (${data.type})` : data.type}
-          </Text>
-        </Flex>
-        {isOpen && (
-          <Flex
-            layerStyle="nodeBody"
-            sx={{
-              userSelect: 'auto',
-              flexDirection: 'column',
-              w: 'full',
-              h: 'full',
-              p: 4,
-              gap: 1,
-              borderBottomRadius: 'base',
-              fontSize: 'sm',
-            }}
-          >
-            <Box>
-              <Text as="span">Unknown node type: </Text>
-              <Text as="span" fontWeight={600}>
-                {data.type}
-              </Text>
-            </Box>
-          </Flex>
-        )}
-      </NodeWrapper>
-    );
-  }
-
-  return (
-    <NodeWrapper nodeProps={props}>
-      <Flex
-        layerStyle="nodeHeader"
-        sx={{
-          borderTopRadius: 'base',
-          borderBottomRadius: isOpen ? 0 : 'base',
-          alignItems: 'center',
-          justifyContent: 'space-between',
-          h: 8,
-          textAlign: 'center',
-          fontWeight: 600,
-          color: 'base.700',
-          _dark: { color: 'base.200' },
-        }}
-      >
-        <NodeCollapseButton nodeProps={props} />
-        <NodeTitle nodeData={props.data} title={nodeTemplate.title} />
-        <Flex alignItems="center">
-          <NodeStatusIndicator nodeProps={props} />
-          <NodeNotesEdit nodeProps={props} nodeTemplate={nodeTemplate} />
-        </Flex>
-        {!isOpen && (
-          <NodeCollapsedHandles nodeProps={props} nodeTemplate={nodeTemplate} />
-        )}
-      </Flex>
-      {isOpen && (
-        <>
-          <Flex
-            layerStyle="nodeBody"
-            className={'nopan'}
-            sx={{
-              cursor: 'auto',
-              flexDirection: 'column',
-              w: 'full',
-              h: 'full',
-              py: 1,
-              gap: 1,
-            }}
-          >
-            <Flex
-              className="nopan"
-              sx={{ flexDir: 'column', px: 2, w: 'full', h: 'full' }}
-            >
-              {outputFields.map((field) => (
-                <OutputField
-                  key={`${nodeId}.${field.id}.input-field`}
-                  nodeProps={props}
-                  nodeTemplate={nodeTemplate}
-                  field={field}
-                />
-              ))}
-              {inputFields.map((field) => (
-                <InputField
-                  key={`${nodeId}.${field.id}.input-field`}
-                  nodeProps={props}
-                  nodeTemplate={nodeTemplate}
-                  field={field}
-                />
-              ))}
-            </Flex>
-          </Flex>
-          <NodeFooter nodeProps={props} nodeTemplate={nodeTemplate} />
-        </>
-      )}
-    </NodeWrapper>
-  );
-};
-
-export default memo(InvocationNode);
diff --git a/invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNodeWrapper.tsx b/invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNodeWrapper.tsx
new file mode 100644
index 0000000000..47bd34c394
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNodeWrapper.tsx
@@ -0,0 +1,24 @@
+import { useAppSelector } from 'app/store/storeHooks';
+import { makeTemplateSelector } from 'features/nodes/store/util/makeTemplateSelector';
+import { InvocationNodeData } from 'features/nodes/types/types';
+import { memo, useMemo } from 'react';
+import { NodeProps } from 'reactflow';
+import InvocationNode from '../Invocation/InvocationNode';
+import UnknownNodeFallback from '../Invocation/UnknownNodeFallback';
+
+const InvocationNodeWrapper = (props: NodeProps<InvocationNodeData>) => {
+  const { data } = props;
+  const { type } = data;
+
+  const templateSelector = useMemo(() => makeTemplateSelector(type), [type]);
+
+  const nodeTemplate = useAppSelector(templateSelector);
+
+  if (!nodeTemplate) {
+    return <UnknownNodeFallback nodeProps={props} />;
+  }
+
+  return <InvocationNode nodeProps={props} nodeTemplate={nodeTemplate} />;
+};
+
+export default memo(InvocationNodeWrapper);

From 18006cab9a2fab8aa0a9ccf228be75b01e72ac8f Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 15 Aug 2023 22:18:54 +1200
Subject: [PATCH 236/287] chore: Regen frontend types

---
 .../frontend/web/src/services/api/schema.d.ts | 38 +++++++++----------
 1 file changed, 19 insertions(+), 19 deletions(-)

diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 79815d3038..6077a903e2 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -583,10 +583,10 @@ export type components = {
       is_intermediate?: boolean;
       /**
        * Type 
-       * @default bool 
+       * @default boolean 
        * @enum {string}
        */
-      type: "bool";
+      type: "boolean";
       /**
        * A 
        * @description The boolean value 
@@ -977,7 +977,7 @@ export type components = {
       conditioning_name: string;
     };
     /**
-     * Conditioning 
+     * Conditioning Primitive 
      * @description A conditioning tensor primitive value
      */
     ConditioningInvocation: {
@@ -1803,7 +1803,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: (components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
+        [key: string]: (components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
       };
       /**
        * Edges 
@@ -1846,7 +1846,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: (components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
+        [key: string]: (components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
       };
       /**
        * Errors 
@@ -2338,7 +2338,7 @@ export type components = {
       max?: number;
     };
     /**
-     * Image 
+     * Image Primitive 
      * @description An image primitive value
      */
     ImageInvocation: {
@@ -2989,10 +2989,10 @@ export type components = {
     IntegerCollectionOutput: {
       /**
        * Type 
-       * @default int_collection_output 
+       * @default integer_collection_output 
        * @enum {string}
        */
-      type?: "int_collection_output";
+      type?: "integer_collection_output";
       /**
        * Collection 
        * @description The int collection
@@ -3017,10 +3017,10 @@ export type components = {
       is_intermediate?: boolean;
       /**
        * Type 
-       * @default int 
+       * @default integer 
        * @enum {string}
        */
-      type: "int";
+      type: "integer";
       /**
        * A 
        * @description The integer value 
@@ -3035,10 +3035,10 @@ export type components = {
     IntegerOutput: {
       /**
        * Type 
-       * @default int_output 
+       * @default integer_output 
        * @enum {string}
        */
-      type?: "int_output";
+      type?: "integer_output";
       /**
        * A 
        * @description The output integer
@@ -3130,7 +3130,7 @@ export type components = {
       seed?: number;
     };
     /**
-     * Latents 
+     * Latents Primitive 
      * @description A latents tensor primitive value
      */
     LatentsInvocation: {
@@ -5977,11 +5977,11 @@ export type components = {
       ui_type_hint?: components["schemas"]["UITypeHint"];
     };
     /**
-     * StableDiffusionXLModelFormat 
+     * ControlNetModelFormat 
      * @description An enumeration. 
      * @enum {string}
      */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
+    ControlNetModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionOnnxModelFormat 
      * @description An enumeration. 
@@ -5995,11 +5995,11 @@ export type components = {
      */
     StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
     /**
-     * ControlNetModelFormat 
+     * StableDiffusionXLModelFormat 
      * @description An enumeration. 
      * @enum {string}
      */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusion2ModelFormat 
      * @description An enumeration. 
@@ -6116,7 +6116,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -6153,7 +6153,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {

From fa884134d94d3d6af06237c9c9722bc11da3a72a Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Tue, 15 Aug 2023 21:45:40 +1000
Subject: [PATCH 237/287] feat: rename `ui_type_hint` to `ui_type`

Just a bit more succinct while not losing any clarity.
---
 invokeai/app/invocations/baseinvocation.py    | 22 ++++++------
 invokeai/app/invocations/collections.py       |  4 +--
 .../controlnet_image_processors.py            |  4 +--
 invokeai/app/invocations/latent.py            |  4 +--
 invokeai/app/invocations/model.py             |  4 +--
 invokeai/app/invocations/noise.py             |  2 +-
 invokeai/app/invocations/onnx.py              |  8 ++---
 invokeai/app/invocations/primitives.py        | 18 +++++-----
 invokeai/app/invocations/prompt.py            |  4 +--
 invokeai/app/invocations/sdxl.py              |  6 ++--
 invokeai/app/services/graph.py                | 10 +++---
 .../nodes/util/fieldTemplateBuilders.ts       | 10 +++---
 .../frontend/web/src/services/api/schema.d.ts | 36 +++++++++----------
 13 files changed, 66 insertions(+), 66 deletions(-)

diff --git a/invokeai/app/invocations/baseinvocation.py b/invokeai/app/invocations/baseinvocation.py
index a02ce6fec8..363fa357ae 100644
--- a/invokeai/app/invocations/baseinvocation.py
+++ b/invokeai/app/invocations/baseinvocation.py
@@ -90,7 +90,7 @@ class Input(str, Enum):
     Any = "any"
 
 
-class UITypeHint(str, Enum):
+class UIType(str, Enum):
     """
     Type hints for the UI.
     If a field should be provided a data type that does not exactly match the python type of the field, \
@@ -164,7 +164,7 @@ class _InputField(BaseModel):
 
     input: Input
     ui_hidden: bool
-    ui_type_hint: Optional[UITypeHint]
+    ui_type: Optional[UIType]
     ui_component: Optional[UIComponent]
 
 
@@ -177,7 +177,7 @@ class _OutputField(BaseModel):
     """
 
     ui_hidden: bool
-    ui_type_hint: Optional[UITypeHint]
+    ui_type: Optional[UIType]
 
 
 def InputField(
@@ -208,7 +208,7 @@ def InputField(
     discriminator: Optional[str] = None,
     repr: bool = True,
     input: Input = Input.Any,
-    ui_type_hint: Optional[UITypeHint] = None,
+    ui_type: Optional[UIType] = None,
     ui_component: Optional[UIComponent] = None,
     ui_hidden: bool = False,
     **kwargs: Any,
@@ -224,12 +224,12 @@ def InputField(
       `Input.Connection` means the value must be provided by a connection. \
       `Input.Any` means either will do.
 
-    :param UITypeHint ui_type_hint: [None] Optionally provides an extra type hint for the UI. \
+    :param UIType ui_type: [None] Optionally provides an extra type hint for the UI. \
       In some situations, the field's type is not enough to infer the correct UI type. \
       For example, model selection fields should render a dropdown UI component to select a model. \
       Internally, there is no difference between SD-1, SD-2 and SDXL model fields, they all use \
       `MainModelField`. So to ensure the base-model-specific UI is rendered, you can use \
-      `UITypeHint.SDXLMainModelField` to indicate that the field is an SDXL main model field.
+      `UIType.SDXLMainModelField` to indicate that the field is an SDXL main model field.
       
     :param UIComponent ui_component: [None] Optionally specifies a specific component to use in the UI. \
       The UI will always render a suitable component, but sometimes you want something different than the default. \
@@ -266,7 +266,7 @@ def InputField(
         discriminator=discriminator,
         repr=repr,
         input=input,
-        ui_type_hint=ui_type_hint,
+        ui_type=ui_type,
         ui_component=ui_component,
         ui_hidden=ui_hidden,
         **kwargs,
@@ -300,7 +300,7 @@ def OutputField(
     regex: Optional[str] = None,
     discriminator: Optional[str] = None,
     repr: bool = True,
-    ui_type_hint: Optional[UITypeHint] = None,
+    ui_type: Optional[UIType] = None,
     ui_hidden: bool = False,
     **kwargs: Any,
 ) -> Any:
@@ -310,12 +310,12 @@ def OutputField(
     This is a wrapper for Pydantic's [Field](https://docs.pydantic.dev/1.10/usage/schema/#field-customization) \
     that adds a few extra parameters to support graph execution and the node editor UI.
 
-    :param UITypeHint ui_type_hint: [None] Optionally provides an extra type hint for the UI. \
+    :param UIType ui_type: [None] Optionally provides an extra type hint for the UI. \
       In some situations, the field's type is not enough to infer the correct UI type. \
       For example, model selection fields should render a dropdown UI component to select a model. \
       Internally, there is no difference between SD-1, SD-2 and SDXL model fields, they all use \
       `MainModelField`. So to ensure the base-model-specific UI is rendered, you can use \
-      `UITypeHint.SDXLMainModelField` to indicate that the field is an SDXL main model field.
+      `UIType.SDXLMainModelField` to indicate that the field is an SDXL main model field.
 
     : param bool ui_hidden: [False] Specifies whether or not this field should be hidden in the UI. \
     """
@@ -346,7 +346,7 @@ def OutputField(
         regex=regex,
         discriminator=discriminator,
         repr=repr,
-        ui_type_hint=ui_type_hint,
+        ui_type=ui_type,
         ui_hidden=ui_hidden,
         **kwargs,
     )
diff --git a/invokeai/app/invocations/collections.py b/invokeai/app/invocations/collections.py
index d174b3882c..7e7f173b44 100644
--- a/invokeai/app/invocations/collections.py
+++ b/invokeai/app/invocations/collections.py
@@ -8,7 +8,7 @@ from pydantic import validator
 from invokeai.app.invocations.primitives import ImageCollectionOutput, ImageField, IntegerCollectionOutput
 from invokeai.app.util.misc import SEED_MAX, get_random_seed
 
-from .baseinvocation import BaseInvocation, InputField, InvocationContext, UITypeHint, tags, title
+from .baseinvocation import BaseInvocation, InputField, InvocationContext, UIType, tags, title
 
 
 @title("Integer Range")
@@ -81,7 +81,7 @@ class ImageCollectionInvocation(BaseInvocation):
 
     # Inputs
     images: list[ImageField] = InputField(
-        default=[], description="The image collection to load", ui_type_hint=UITypeHint.ImageCollection
+        default=[], description="The image collection to load", ui_type=UIType.ImageCollection
     )
 
     def invoke(self, context: InvocationContext) -> ImageCollectionOutput:
diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py
index 15ac5a7e1d..811f767dee 100644
--- a/invokeai/app/invocations/controlnet_image_processors.py
+++ b/invokeai/app/invocations/controlnet_image_processors.py
@@ -39,7 +39,7 @@ from .baseinvocation import (
     Input,
     InvocationContext,
     OutputField,
-    UITypeHint,
+    UIType,
     tags,
     title,
 )
@@ -109,7 +109,7 @@ class ControlNetInvocation(BaseInvocation):
         default="lllyasviel/sd-controlnet-canny", description=FieldDescriptions.controlnet_model, input=Input.Direct
     )
     control_weight: Union[float, List[float]] = InputField(
-        default=1.0, description="The weight given to the ControlNet", ui_type_hint=UITypeHint.Float
+        default=1.0, description="The weight given to the ControlNet", ui_type=UIType.Float
     )
     begin_step_percent: float = InputField(
         default=0, ge=-1, le=2, description="When the ControlNet is first applied (% of total steps)"
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 461bb6b41e..40f7af8703 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -51,7 +51,7 @@ from .baseinvocation import (
     InputField,
     InvocationContext,
     OutputField,
-    UITypeHint,
+    UIType,
     tags,
     title,
 )
@@ -116,7 +116,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
     noise: Optional[LatentsField] = InputField(description=FieldDescriptions.noise, input=Input.Connection)
     steps: int = InputField(default=10, gt=0, description=FieldDescriptions.steps)
     cfg_scale: Union[float, List[float]] = InputField(
-        default=7.5, ge=1, description=FieldDescriptions.cfg_scale, ui_type_hint=UITypeHint.Float
+        default=7.5, ge=1, description=FieldDescriptions.cfg_scale, ui_type=UIType.Float
     )
     denoising_start: float = InputField(default=0.0, ge=0, le=1, description=FieldDescriptions.denoising_start)
     denoising_end: float = InputField(default=1.0, ge=0, le=1, description=FieldDescriptions.denoising_end)
diff --git a/invokeai/app/invocations/model.py b/invokeai/app/invocations/model.py
index 74ef4da6fb..484a4d71e1 100644
--- a/invokeai/app/invocations/model.py
+++ b/invokeai/app/invocations/model.py
@@ -12,7 +12,7 @@ from .baseinvocation import (
     Input,
     InvocationContext,
     OutputField,
-    UITypeHint,
+    UIType,
     tags,
     title,
 )
@@ -365,7 +365,7 @@ class VaeLoaderInvocation(BaseInvocation):
 
     # Inputs
     vae_model: VAEModelField = InputField(
-        description=FieldDescriptions.vae_model, input=Input.Direct, ui_type_hint=UITypeHint.VaeModel, title="VAE"
+        description=FieldDescriptions.vae_model, input=Input.Direct, ui_type=UIType.VaeModel, title="VAE"
     )
 
     def invoke(self, context: InvocationContext) -> VaeLoaderOutput:
diff --git a/invokeai/app/invocations/noise.py b/invokeai/app/invocations/noise.py
index 7049dad61a..6fae308fdc 100644
--- a/invokeai/app/invocations/noise.py
+++ b/invokeai/app/invocations/noise.py
@@ -16,7 +16,7 @@ from .baseinvocation import (
     InputField,
     InvocationContext,
     OutputField,
-    UITypeHint,
+    UIType,
     tags,
     title,
 )
diff --git a/invokeai/app/invocations/onnx.py b/invokeai/app/invocations/onnx.py
index d7fa277494..6cff56fb2e 100644
--- a/invokeai/app/invocations/onnx.py
+++ b/invokeai/app/invocations/onnx.py
@@ -31,7 +31,7 @@ from .baseinvocation import (
     InvocationContext,
     OutputField,
     UIComponent,
-    UITypeHint,
+    UIType,
     tags,
     title,
 )
@@ -167,7 +167,7 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
         default=7.5,
         ge=1,
         description=FieldDescriptions.cfg_scale,
-        ui_type_hint=UITypeHint.Float,
+        ui_type=UIType.Float,
     )
     scheduler: SAMPLER_NAME_VALUES = InputField(
         default="euler", description=FieldDescriptions.scheduler, input=Input.Direct
@@ -180,7 +180,7 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
     control: Optional[Union[ControlField, list[ControlField]]] = InputField(
         default=None,
         description=FieldDescriptions.control,
-        ui_type_hint=UITypeHint.Control,
+        ui_type=UIType.Control,
     )
     # seamless:   bool = InputField(default=False, description="Whether or not to generate an image that can tile without seams", )
     # seamless_axes: str = InputField(default="", description="The axes to tile the image on, 'x' and/or 'y'")
@@ -416,7 +416,7 @@ class OnnxModelLoaderInvocation(BaseInvocation):
 
     # Inputs
     model: OnnxModelField = InputField(
-        description=FieldDescriptions.onnx_main_model, input=Input.Direct, ui_type_hint=UITypeHint.ONNXModel
+        description=FieldDescriptions.onnx_main_model, input=Input.Direct, ui_type=UIType.ONNXModel
     )
 
     def invoke(self, context: InvocationContext) -> ONNXModelLoaderOutput:
diff --git a/invokeai/app/invocations/primitives.py b/invokeai/app/invocations/primitives.py
index 97063d89f0..c484040057 100644
--- a/invokeai/app/invocations/primitives.py
+++ b/invokeai/app/invocations/primitives.py
@@ -14,7 +14,7 @@ from .baseinvocation import (
     InvocationContext,
     OutputField,
     UIComponent,
-    UITypeHint,
+    UIType,
     tags,
     title,
 )
@@ -43,7 +43,7 @@ class BooleanCollectionOutput(BaseInvocationOutput):
 
     # Outputs
     collection: list[bool] = OutputField(
-        default_factory=list, description="The output boolean collection", ui_type_hint=UITypeHint.BooleanCollection
+        default_factory=list, description="The output boolean collection", ui_type=UIType.BooleanCollection
     )
 
 
@@ -80,7 +80,7 @@ class IntegerCollectionOutput(BaseInvocationOutput):
 
     # Outputs
     collection: list[int] = OutputField(
-        default_factory=list, description="The int collection", ui_type_hint=UITypeHint.IntegerCollection
+        default_factory=list, description="The int collection", ui_type=UIType.IntegerCollection
     )
 
 
@@ -117,7 +117,7 @@ class FloatCollectionOutput(BaseInvocationOutput):
 
     # Outputs
     collection: list[float] = OutputField(
-        default_factory=list, description="The float collection", ui_type_hint=UITypeHint.FloatCollection
+        default_factory=list, description="The float collection", ui_type=UIType.FloatCollection
     )
 
 
@@ -154,7 +154,7 @@ class StringCollectionOutput(BaseInvocationOutput):
 
     # Outputs
     collection: list[str] = OutputField(
-        default_factory=list, description="The output strings", ui_type_hint=UITypeHint.StringCollection
+        default_factory=list, description="The output strings", ui_type=UIType.StringCollection
     )
 
 
@@ -199,7 +199,7 @@ class ImageCollectionOutput(BaseInvocationOutput):
 
     # Outputs
     collection: list[ImageField] = OutputField(
-        default_factory=list, description="The output images", ui_type_hint=UITypeHint.ImageCollection
+        default_factory=list, description="The output images", ui_type=UIType.ImageCollection
     )
 
 
@@ -256,7 +256,7 @@ class LatentsCollectionOutput(BaseInvocationOutput):
     latents: list[LatentsField] = OutputField(
         default_factory=list,
         description=FieldDescriptions.latents,
-        ui_type_hint=UITypeHint.LatentsCollection,
+        ui_type=UIType.LatentsCollection,
     )
 
 
@@ -315,7 +315,7 @@ class ColorCollectionOutput(BaseInvocationOutput):
 
     # Outputs
     collection: list[ColorField] = OutputField(
-        default_factory=list, description="The output colors", ui_type_hint=UITypeHint.ColorCollection
+        default_factory=list, description="The output colors", ui_type=UIType.ColorCollection
     )
 
 
@@ -361,7 +361,7 @@ class ConditioningCollectionOutput(BaseInvocationOutput):
     collection: list[ConditioningField] = OutputField(
         default_factory=list,
         description="The output conditioning tensors",
-        ui_type_hint=UITypeHint.ConditioningCollection,
+        ui_type=UIType.ConditioningCollection,
     )
 
 
diff --git a/invokeai/app/invocations/prompt.py b/invokeai/app/invocations/prompt.py
index d8c164a0b7..acdb821456 100644
--- a/invokeai/app/invocations/prompt.py
+++ b/invokeai/app/invocations/prompt.py
@@ -7,7 +7,7 @@ from pydantic import validator
 
 from invokeai.app.invocations.primitives import StringCollectionOutput
 
-from .baseinvocation import BaseInvocation, InputField, InvocationContext, UIComponent, UITypeHint, tags, title
+from .baseinvocation import BaseInvocation, InputField, InvocationContext, UIComponent, UIType, tags, title
 
 
 @title("Dynamic Prompt")
@@ -41,7 +41,7 @@ class PromptsFromFileInvocation(BaseInvocation):
     type: Literal["prompt_from_file"] = "prompt_from_file"
 
     # Inputs
-    file_path: str = InputField(description="Path to prompt text file", ui_type_hint=UITypeHint.FilePath)
+    file_path: str = InputField(description="Path to prompt text file", ui_type=UIType.FilePath)
     pre_prompt: Optional[str] = InputField(
         default=None, description="String to prepend to each prompt", ui_component=UIComponent.Textarea
     )
diff --git a/invokeai/app/invocations/sdxl.py b/invokeai/app/invocations/sdxl.py
index c80f69bc38..4efe30a3d9 100644
--- a/invokeai/app/invocations/sdxl.py
+++ b/invokeai/app/invocations/sdxl.py
@@ -9,7 +9,7 @@ from .baseinvocation import (
     InputField,
     InvocationContext,
     OutputField,
-    UITypeHint,
+    UIType,
     tags,
     title,
 )
@@ -46,7 +46,7 @@ class SDXLModelLoaderInvocation(BaseInvocation):
 
     # Inputs
     model: MainModelField = InputField(
-        description=FieldDescriptions.sdxl_main_model, input=Input.Direct, ui_type_hint=UITypeHint.SDXLMainModel
+        description=FieldDescriptions.sdxl_main_model, input=Input.Direct, ui_type=UIType.SDXLMainModel
     )
     # TODO: precision?
 
@@ -133,7 +133,7 @@ class SDXLRefinerModelLoaderInvocation(BaseInvocation):
     model: MainModelField = InputField(
         description=FieldDescriptions.sdxl_refiner_model,
         input=Input.Direct,
-        ui_type_hint=UITypeHint.SDXLRefinerModel,
+        ui_type=UIType.SDXLRefinerModel,
     )
     # TODO: precision?
 
diff --git a/invokeai/app/services/graph.py b/invokeai/app/services/graph.py
index 5dacfe1ec1..c412431b43 100644
--- a/invokeai/app/services/graph.py
+++ b/invokeai/app/services/graph.py
@@ -17,7 +17,7 @@ from ..invocations.baseinvocation import (
     InputField,
     InvocationContext,
     OutputField,
-    UITypeHint,
+    UIType,
 )
 
 # in 3.10 this would be "from types import NoneType"
@@ -179,7 +179,7 @@ class IterateInvocationOutput(BaseInvocationOutput):
     type: Literal["iterate_output"] = "iterate_output"
 
     item: Any = OutputField(
-        description="The item being iterated over", title="Collection Item", ui_type_hint=UITypeHint.CollectionItem
+        description="The item being iterated over", title="Collection Item", ui_type=UIType.CollectionItem
     )
 
 
@@ -190,7 +190,7 @@ class IterateInvocation(BaseInvocation):
     type: Literal["iterate"] = "iterate"
 
     collection: list[Any] = InputField(
-        description="The list of items to iterate over", default_factory=list, ui_type_hint=UITypeHint.Collection
+        description="The list of items to iterate over", default_factory=list, ui_type=UIType.Collection
     )
     index: int = InputField(description="The index, will be provided on executed iterators", default=0, ui_hidden=True)
 
@@ -203,7 +203,7 @@ class CollectInvocationOutput(BaseInvocationOutput):
     type: Literal["collect_output"] = "collect_output"
 
     collection: list[Any] = OutputField(
-        description="The collection of input items", title="Collection", ui_type_hint=UITypeHint.Collection
+        description="The collection of input items", title="Collection", ui_type=UIType.Collection
     )
 
 
@@ -214,7 +214,7 @@ class CollectInvocation(BaseInvocation):
 
     item: Any = InputField(
         description="The item to collect (all inputs must be of the same type)",
-        ui_type_hint=UITypeHint.CollectionItem,
+        ui_type=UIType.CollectionItem,
         title="Collection Item",
         input=Input.Connection,
     )
diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
index 44712ec600..190dd81c7b 100644
--- a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
@@ -439,9 +439,9 @@ export const getFieldType = (
 ): FieldType => {
   let fieldType = '';
 
-  const { ui_type_hint } = schemaObject;
-  if (ui_type_hint) {
-    fieldType = ui_type_hint;
+  const { ui_type } = schemaObject;
+  if (ui_type) {
+    fieldType = ui_type;
   } else if (!schemaObject.type) {
     // console.log('refObject', schemaObject);
     // if schemaObject has no type, then it should have one of allOf, anyOf, oneOf
@@ -493,13 +493,13 @@ export const buildInputFieldTemplate = (
   const fieldType = getFieldType(fieldSchema);
   // console.log('input fieldType', fieldType);
 
-  const { input, ui_hidden, ui_component, ui_type_hint } = fieldSchema;
+  const { input, ui_hidden, ui_component, ui_type } = fieldSchema;
 
   const extra = {
     input,
     ui_hidden,
     ui_component,
-    ui_type_hint,
+    ui_type,
     required: nodeSchema.required?.includes(name) ?? false,
   };
 
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 6077a903e2..a15232af4e 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -1803,7 +1803,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: (components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
+        [key: string]: (components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
       };
       /**
        * Edges 
@@ -1846,7 +1846,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: (components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
+        [key: string]: (components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
       };
       /**
        * Errors 
@@ -5938,12 +5938,12 @@ export type components = {
      */
     Input: "connection" | "direct" | "any";
     /**
-     * UITypeHint 
+     * UIType 
      * @description Type hints for the UI.
      * If a field should be provided a data type that does not exactly match the python type of the field,     use this to provide the type that should be used instead. See the node development docs for detail     on adding a new field type, which involves client-side changes. 
      * @enum {string}
      */
-    UITypeHint: "integer" | "float" | "boolean" | "string" | "array" | "ImageField" | "LatentsField" | "ConditioningField" | "ControlField" | "ColorField" | "ImageCollection" | "ConditioningCollection" | "ColorCollection" | "LatentsCollection" | "IntegerCollection" | "FloatCollection" | "StringCollection" | "BooleanCollection" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "UNetField" | "VaeField" | "ClipField" | "Collection" | "CollectionItem" | "FilePath" | "enum";
+    UIType: "integer" | "float" | "boolean" | "string" | "array" | "ImageField" | "LatentsField" | "ConditioningField" | "ControlField" | "ColorField" | "ImageCollection" | "ConditioningCollection" | "ColorCollection" | "LatentsCollection" | "IntegerCollection" | "FloatCollection" | "StringCollection" | "BooleanCollection" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "UNetField" | "VaeField" | "ClipField" | "Collection" | "CollectionItem" | "FilePath" | "enum";
     /**
      * UIComponent 
      * @description The type of UI component to use for a field, used to override the default components, which are     inferred from the field type. 
@@ -5961,7 +5961,7 @@ export type components = {
       input: components["schemas"]["Input"];
       /** Ui Hidden */
       ui_hidden: boolean;
-      ui_type_hint?: components["schemas"]["UITypeHint"];
+      ui_type?: components["schemas"]["UIType"];
       ui_component?: components["schemas"]["UIComponent"];
     };
     /**
@@ -5974,26 +5974,20 @@ export type components = {
     _OutputField: {
       /** Ui Hidden */
       ui_hidden: boolean;
-      ui_type_hint?: components["schemas"]["UITypeHint"];
+      ui_type?: components["schemas"]["UIType"];
     };
     /**
-     * ControlNetModelFormat 
+     * StableDiffusion2ModelFormat 
      * @description An enumeration. 
      * @enum {string}
      */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
+    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionOnnxModelFormat 
      * @description An enumeration. 
      * @enum {string}
      */
     StableDiffusionOnnxModelFormat: "olive" | "onnx";
-    /**
-     * StableDiffusion1ModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionXLModelFormat 
      * @description An enumeration. 
@@ -6001,11 +5995,17 @@ export type components = {
      */
     StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
-     * StableDiffusion2ModelFormat 
+     * StableDiffusion1ModelFormat 
      * @description An enumeration. 
      * @enum {string}
      */
-    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
+    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * ControlNetModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    ControlNetModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -6116,7 +6116,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -6153,7 +6153,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {

From 2b7dd3e23698660f097b673545c4fdbbc76d0b1c Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Tue, 15 Aug 2023 22:18:37 +1000
Subject: [PATCH 238/287] feat: add missing primitive collections

- add missing primitive collections
- remove `Seed` and `LoRAField` (they don't exist)
---
 invokeai/app/invocations/collections.py       |  16 --
 invokeai/app/invocations/primitives.py        | 143 +++++++++--
 .../components/fields/InputFieldRenderer.tsx  |   3 +-
 .../fields/fieldTypes/NumberInputField.tsx    |   8 +-
 .../web/src/features/nodes/types/constants.ts |  30 ++-
 .../web/src/features/nodes/types/types.ts     |  44 ++--
 .../nodes/util/fieldTemplateBuilders.ts       |  42 +---
 .../frontend/web/src/services/api/schema.d.ts | 228 +++++++++++++++---
 8 files changed, 377 insertions(+), 137 deletions(-)

diff --git a/invokeai/app/invocations/collections.py b/invokeai/app/invocations/collections.py
index 7e7f173b44..fc7aec3e01 100644
--- a/invokeai/app/invocations/collections.py
+++ b/invokeai/app/invocations/collections.py
@@ -70,19 +70,3 @@ class RandomRangeInvocation(BaseInvocation):
     def invoke(self, context: InvocationContext) -> IntegerCollectionOutput:
         rng = np.random.default_rng(self.seed)
         return IntegerCollectionOutput(collection=list(rng.integers(low=self.low, high=self.high, size=self.size)))
-
-
-@title("Image Collection")
-@tags("image", "collection")
-class ImageCollectionInvocation(BaseInvocation):
-    """Load a collection of images and provide it as output."""
-
-    type: Literal["image_collection"] = "image_collection"
-
-    # Inputs
-    images: list[ImageField] = InputField(
-        default=[], description="The image collection to load", ui_type=UIType.ImageCollection
-    )
-
-    def invoke(self, context: InvocationContext) -> ImageCollectionOutput:
-        return ImageCollectionOutput(collection=self.images)
diff --git a/invokeai/app/invocations/primitives.py b/invokeai/app/invocations/primitives.py
index c484040057..398be04738 100644
--- a/invokeai/app/invocations/primitives.py
+++ b/invokeai/app/invocations/primitives.py
@@ -1,6 +1,7 @@
 # Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
 
-from typing import Literal, Optional, Tuple
+from typing import Literal, Optional, Tuple, Union
+from anyio import Condition
 
 from pydantic import BaseModel, Field
 import torch
@@ -47,8 +48,8 @@ class BooleanCollectionOutput(BaseInvocationOutput):
     )
 
 
-@title("Boolean Primitive")
-@tags("boolean")
+@title("Boolean")
+@tags("primitives", "boolean")
 class BooleanInvocation(BaseInvocation):
     """A boolean primitive value"""
 
@@ -61,6 +62,22 @@ class BooleanInvocation(BaseInvocation):
         return BooleanOutput(a=self.a)
 
 
+@title("Boolean Collection")
+@tags("primitives", "boolean", "collection")
+class BooleanCollectionInvocation(BaseInvocation):
+    """A collection of boolean primitive values"""
+
+    type: Literal["boolean_collection"] = "boolean_collection"
+
+    # Inputs
+    collection: list[bool] = InputField(
+        default=False, description="The collection of boolean values", ui_type=UIType.BooleanCollection
+    )
+
+    def invoke(self, context: InvocationContext) -> BooleanCollectionOutput:
+        return BooleanCollectionOutput(collection=self.collection)
+
+
 # endregion
 
 # region Integer
@@ -84,8 +101,8 @@ class IntegerCollectionOutput(BaseInvocationOutput):
     )
 
 
-@title("Integer Primitive")
-@tags("integer")
+@title("Integer")
+@tags("primitives", "integer")
 class IntegerInvocation(BaseInvocation):
     """An integer primitive value"""
 
@@ -98,6 +115,22 @@ class IntegerInvocation(BaseInvocation):
         return IntegerOutput(a=self.a)
 
 
+@title("Integer Collection")
+@tags("primitives", "integer", "collection")
+class IntegerCollectionInvocation(BaseInvocation):
+    """A collection of integer primitive values"""
+
+    type: Literal["integer_collection"] = "integer_collection"
+
+    # Inputs
+    collection: list[int] = InputField(
+        default=0, description="The collection of integer values", ui_type=UIType.IntegerCollection
+    )
+
+    def invoke(self, context: InvocationContext) -> IntegerCollectionOutput:
+        return IntegerCollectionOutput(collection=self.collection)
+
+
 # endregion
 
 # region Float
@@ -121,8 +154,8 @@ class FloatCollectionOutput(BaseInvocationOutput):
     )
 
 
-@title("Float Primitive")
-@tags("float")
+@title("Float")
+@tags("primitives", "float")
 class FloatInvocation(BaseInvocation):
     """A float primitive value"""
 
@@ -135,6 +168,22 @@ class FloatInvocation(BaseInvocation):
         return FloatOutput(a=self.param)
 
 
+@title("Float Collection")
+@tags("primitives", "float", "collection")
+class FloatCollectionInvocation(BaseInvocation):
+    """A collection of float primitive values"""
+
+    type: Literal["float_collection"] = "float_collection"
+
+    # Inputs
+    collection: list[float] = InputField(
+        default=0, description="The collection of float values", ui_type=UIType.FloatCollection
+    )
+
+    def invoke(self, context: InvocationContext) -> FloatCollectionOutput:
+        return FloatCollectionOutput(collection=self.collection)
+
+
 # endregion
 
 # region String
@@ -158,8 +207,8 @@ class StringCollectionOutput(BaseInvocationOutput):
     )
 
 
-@title("String Primitive")
-@tags("string")
+@title("String")
+@tags("primitives", "string")
 class StringInvocation(BaseInvocation):
     """A string primitive value"""
 
@@ -172,6 +221,22 @@ class StringInvocation(BaseInvocation):
         return StringOutput(text=self.text)
 
 
+@title("String Collection")
+@tags("primitives", "string", "collection")
+class StringCollectionInvocation(BaseInvocation):
+    """A collection of string primitive values"""
+
+    type: Literal["string_collection"] = "string_collection"
+
+    # Inputs
+    collection: list[str] = InputField(
+        default=0, description="The collection of string values", ui_type=UIType.StringCollection
+    )
+
+    def invoke(self, context: InvocationContext) -> StringCollectionOutput:
+        return StringCollectionOutput(collection=self.collection)
+
+
 # endregion
 
 # region Image
@@ -204,7 +269,7 @@ class ImageCollectionOutput(BaseInvocationOutput):
 
 
 @title("Image Primitive")
-@tags("image")
+@tags("primitives", "image")
 class ImageInvocation(BaseInvocation):
     """An image primitive value"""
 
@@ -224,6 +289,22 @@ class ImageInvocation(BaseInvocation):
         )
 
 
+@title("Image Collection")
+@tags("primitives", "image", "collection")
+class ImageCollectionInvocation(BaseInvocation):
+    """A collection of image primitive values"""
+
+    type: Literal["image_collection"] = "image_collection"
+
+    # Inputs
+    collection: list[ImageField] = InputField(
+        default=0, description="The collection of image values", ui_type=UIType.ImageCollection
+    )
+
+    def invoke(self, context: InvocationContext) -> ImageCollectionOutput:
+        return ImageCollectionOutput(collection=self.collection)
+
+
 # endregion
 
 # region Latents
@@ -253,7 +334,7 @@ class LatentsCollectionOutput(BaseInvocationOutput):
 
     type: Literal["latents_collection_output"] = "latents_collection_output"
 
-    latents: list[LatentsField] = OutputField(
+    collection: list[LatentsField] = OutputField(
         default_factory=list,
         description=FieldDescriptions.latents,
         ui_type=UIType.LatentsCollection,
@@ -261,7 +342,7 @@ class LatentsCollectionOutput(BaseInvocationOutput):
 
 
 @title("Latents Primitive")
-@tags("latents")
+@tags("primitives", "latents")
 class LatentsInvocation(BaseInvocation):
     """A latents tensor primitive value"""
 
@@ -276,6 +357,22 @@ class LatentsInvocation(BaseInvocation):
         return build_latents_output(self.latents.latents_name, latents)
 
 
+@title("Latents Collection")
+@tags("primitives", "latents", "collection")
+class LatentsCollectionInvocation(BaseInvocation):
+    """A collection of latents tensor primitive values"""
+
+    type: Literal["latents_collection"] = "latents_collection"
+
+    # Inputs
+    collection: list[LatentsField] = InputField(
+        default=0, description="The collection of latents tensors", ui_type=UIType.LatentsCollection
+    )
+
+    def invoke(self, context: InvocationContext) -> LatentsCollectionOutput:
+        return LatentsCollectionOutput(collection=self.collection)
+
+
 def build_latents_output(latents_name: str, latents: torch.Tensor, seed: Optional[int] = None):
     return LatentsOutput(
         latents=LatentsField(latents_name=latents_name, seed=seed),
@@ -320,7 +417,7 @@ class ColorCollectionOutput(BaseInvocationOutput):
 
 
 @title("Color Primitive")
-@tags("color")
+@tags("primitives", "color")
 class ColorInvocation(BaseInvocation):
     """A color primitive value"""
 
@@ -339,7 +436,7 @@ class ColorInvocation(BaseInvocation):
 
 
 class ConditioningField(BaseModel):
-    """A conditioning tensor primitive field"""
+    """A conditioning tensor primitive value"""
 
     conditioning_name: str = Field(description="The name of conditioning tensor")
 
@@ -366,7 +463,7 @@ class ConditioningCollectionOutput(BaseInvocationOutput):
 
 
 @title("Conditioning Primitive")
-@tags("conditioning")
+@tags("primitives", "conditioning")
 class ConditioningInvocation(BaseInvocation):
     """A conditioning tensor primitive value"""
 
@@ -378,4 +475,20 @@ class ConditioningInvocation(BaseInvocation):
         return ConditioningOutput(conditioning=self.conditioning)
 
 
+@title("Conditioning Collection")
+@tags("primitives", "conditioning", "collection")
+class ConditioningCollectionInvocation(BaseInvocation):
+    """A collection of conditioning tensor primitive values"""
+
+    type: Literal["conditioning_collection"] = "conditioning_collection"
+
+    # Inputs
+    collection: list[ConditioningField] = InputField(
+        default=0, description="The collection of conditioning tensors", ui_type=UIType.ConditioningCollection
+    )
+
+    def invoke(self, context: InvocationContext) -> ConditioningCollectionOutput:
+        return ConditioningCollectionOutput(collection=self.collection)
+
+
 # endregion
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/InputFieldRenderer.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/InputFieldRenderer.tsx
index ce9d88af0a..0eae336a1e 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/InputFieldRenderer.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/InputFieldRenderer.tsx
@@ -64,8 +64,7 @@ const InputFieldRenderer = (props: InputFieldProps) => {
 
   if (
     (type === 'integer' && fieldTemplate.type === 'integer') ||
-    (type === 'float' && fieldTemplate.type === 'float') ||
-    (type === 'Seed' && fieldTemplate.type === 'Seed')
+    (type === 'float' && fieldTemplate.type === 'float')
   ) {
     return (
       <NumberInputField
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/NumberInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/NumberInputField.tsx
index 3d82003882..907f90130d 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/NumberInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/NumberInputField.tsx
@@ -13,16 +13,14 @@ import {
   FloatInputFieldValue,
   IntegerInputFieldTemplate,
   IntegerInputFieldValue,
-  SeedInputFieldTemplate,
-  SeedInputFieldValue,
 } from 'features/nodes/types/types';
 import { memo, useEffect, useMemo, useState } from 'react';
 import { FieldComponentProps } from './types';
 
 const NumberInputFieldComponent = (
   props: FieldComponentProps<
-    IntegerInputFieldValue | FloatInputFieldValue | SeedInputFieldValue,
-    IntegerInputFieldTemplate | FloatInputFieldTemplate | SeedInputFieldTemplate
+    IntegerInputFieldValue | FloatInputFieldValue,
+    IntegerInputFieldTemplate | FloatInputFieldTemplate
   >
 ) => {
   const { nodeData, field, fieldTemplate } = props;
@@ -32,7 +30,7 @@ const NumberInputFieldComponent = (
     String(field.value)
   );
   const isIntegerField = useMemo(
-    () => fieldTemplate.type === 'integer' || fieldTemplate.type === 'Seed',
+    () => fieldTemplate.type === 'integer',
     [fieldTemplate.type]
   );
 
diff --git a/invokeai/frontend/web/src/features/nodes/types/constants.ts b/invokeai/frontend/web/src/features/nodes/types/constants.ts
index f6389d47dd..0efd529275 100644
--- a/invokeai/frontend/web/src/features/nodes/types/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/constants.ts
@@ -44,6 +44,11 @@ export const FIELDS: Record<FieldType, FieldUIConfig> = {
     description: 'Enums are values that may be one of a number of options.',
     color: 'blue.500',
   },
+  array: {
+    title: 'Array',
+    description: 'Enums are values that may be one of a number of options.',
+    color: 'base.500',
+  },
   ImageField: {
     title: 'Image',
     description: 'Images may be passed between nodes.',
@@ -54,11 +59,21 @@ export const FIELDS: Record<FieldType, FieldUIConfig> = {
     description: 'Latents may be passed between nodes.',
     color: 'pink.500',
   },
+  LatentsCollection: {
+    title: 'Latents Collection',
+    description: 'Latents may be passed between nodes.',
+    color: 'pink.500',
+  },
   ConditioningField: {
     color: 'cyan.500',
     title: 'Conditioning',
     description: 'Conditioning may be passed between nodes.',
   },
+  ConditioningCollection: {
+    color: 'cyan.500',
+    title: 'Conditioning Collection',
+    description: 'Conditioning may be passed between nodes.',
+  },
   ImageCollection: {
     title: 'Image Collection',
     description: 'A collection of images.',
@@ -139,16 +154,16 @@ export const FIELDS: Record<FieldType, FieldUIConfig> = {
     title: 'Float Collection',
     description: 'A collection of floats.',
   },
+  ColorCollection: {
+    color: 'base.500',
+    title: 'Color Collection',
+    description: 'A collection of colors.',
+  },
   FilePath: {
     color: 'base.500',
     title: 'File Path',
     description: 'A path to a file.',
   },
-  LoRAField: {
-    color: 'base.500',
-    title: 'LoRA',
-    description: 'LoRA field.',
-  },
   ONNXModelField: {
     color: 'base.500',
     title: 'ONNX Model',
@@ -159,11 +174,6 @@ export const FIELDS: Record<FieldType, FieldUIConfig> = {
     title: 'SDXL Model',
     description: 'SDXL model field.',
   },
-  Seed: {
-    color: 'green.500',
-    title: 'Seed',
-    description: 'A seed for random number generation.',
-  },
   StringCollection: {
     color: 'yellow.500',
     title: 'String Collection',
diff --git a/invokeai/frontend/web/src/features/nodes/types/types.ts b/invokeai/frontend/web/src/features/nodes/types/types.ts
index 927153e744..3846d2425c 100644
--- a/invokeai/frontend/web/src/features/nodes/types/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/types.ts
@@ -56,15 +56,28 @@ export type FieldUIConfig = {
 
 // TODO: Get this from the OpenAPI schema? may be tricky...
 export const zFieldType = z.enum([
+  // region Primitives
   'integer',
   'float',
   'boolean',
   'string',
-  'enum',
+  'array',
   'ImageField',
   'LatentsField',
   'ConditioningField',
   'ControlField',
+  'ColorField',
+  'ImageCollection',
+  'ConditioningCollection',
+  'ColorCollection',
+  'LatentsCollection',
+  'IntegerCollection',
+  'FloatCollection',
+  'StringCollection',
+  'BooleanCollection',
+  // endregion
+
+  // region Models
   'MainModelField',
   'SDXLMainModelField',
   'SDXLRefinerModelField',
@@ -74,18 +87,18 @@ export const zFieldType = z.enum([
   'ControlNetModelField',
   'UNetField',
   'VaeField',
-  'LoRAField',
   'ClipField',
-  'ColorField',
-  'ImageCollection',
-  'IntegerCollection',
-  'FloatCollection',
-  'StringCollection',
-  'BooleanCollection',
-  'Seed',
-  'FilePath',
+  // endregion
+
+  // region Iterate/Collect
   'Collection',
   'CollectionItem',
+  // endregion
+
+  // region Misc
+  'FilePath',
+  'enum',
+  // endregion
 ]);
 
 export type FieldType = z.infer<typeof zFieldType>;
@@ -134,7 +147,6 @@ export type InputFieldValue =
  */
 export type InputFieldTemplate =
   | IntegerInputFieldTemplate
-  | SeedInputFieldTemplate
   | FloatInputFieldTemplate
   | StringInputFieldTemplate
   | BooleanInputFieldTemplate
@@ -329,16 +341,6 @@ export type IntegerInputFieldTemplate = InputFieldTemplateBase & {
   exclusiveMinimum?: boolean;
 };
 
-export type SeedInputFieldTemplate = InputFieldTemplateBase & {
-  type: 'Seed';
-  default: number;
-  multipleOf?: number;
-  maximum?: number;
-  exclusiveMaximum?: boolean;
-  minimum?: number;
-  exclusiveMinimum?: boolean;
-};
-
 export type FloatInputFieldTemplate = InputFieldTemplateBase & {
   type: 'float';
   default: number;
diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
index 190dd81c7b..37aaab59b6 100644
--- a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
@@ -25,9 +25,8 @@ import {
   LoRAModelInputFieldTemplate,
   MainModelInputFieldTemplate,
   OutputFieldTemplate,
-  SDXLRefinerModelInputFieldTemplate,
   SDXLMainModelInputFieldTemplate,
-  SeedInputFieldTemplate,
+  SDXLRefinerModelInputFieldTemplate,
   StringInputFieldTemplate,
   UNetInputFieldTemplate,
   VaeInputFieldTemplate,
@@ -94,39 +93,6 @@ const buildIntegerInputFieldTemplate = ({
   return template;
 };
 
-const buildSeedInputFieldTemplate = ({
-  schemaObject,
-  baseField,
-}: BuildInputFieldArg): SeedInputFieldTemplate => {
-  const template: SeedInputFieldTemplate = {
-    ...baseField,
-    type: 'Seed',
-    default: schemaObject.default ?? 0,
-  };
-
-  if (schemaObject.multipleOf !== undefined) {
-    template.multipleOf = schemaObject.multipleOf;
-  }
-
-  if (schemaObject.maximum !== undefined) {
-    template.maximum = schemaObject.maximum;
-  }
-
-  if (schemaObject.exclusiveMaximum !== undefined) {
-    template.exclusiveMaximum = schemaObject.exclusiveMaximum;
-  }
-
-  if (schemaObject.minimum !== undefined) {
-    template.minimum = schemaObject.minimum;
-  }
-
-  if (schemaObject.exclusiveMinimum !== undefined) {
-    template.exclusiveMinimum = schemaObject.exclusiveMinimum;
-  }
-
-  return template;
-};
-
 const buildFloatInputFieldTemplate = ({
   schemaObject,
   baseField,
@@ -622,12 +588,6 @@ export const buildInputFieldTemplate = (
       baseField,
     });
   }
-  if (fieldType === 'Seed') {
-    return buildSeedInputFieldTemplate({
-      schemaObject: fieldSchema,
-      baseField,
-    });
-  }
   if (fieldType === 'Collection') {
     return buildCollectionInputFieldTemplate({
       schemaObject: fieldSchema,
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index a15232af4e..03fe79d708 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -548,6 +548,35 @@ export type components = {
        */
       file: Blob;
     };
+    /**
+     * Boolean Collection 
+     * @description A collection of boolean primitive values
+     */
+    BooleanCollectionInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default boolean_collection 
+       * @enum {string}
+       */
+      type: "boolean_collection";
+      /**
+       * Collection 
+       * @description The collection of boolean values 
+       * @default false
+       */
+      collection?: (boolean)[];
+    };
     /**
      * BooleanCollectionOutput 
      * @description Base class for nodes that output a collection of booleans
@@ -566,7 +595,7 @@ export type components = {
       collection?: (boolean)[];
     };
     /**
-     * Boolean Primitive 
+     * Boolean 
      * @description A boolean primitive value
      */
     BooleanInvocation: {
@@ -948,6 +977,35 @@ export type components = {
        */
       clip?: components["schemas"]["ClipField"];
     };
+    /**
+     * Conditioning Collection 
+     * @description A collection of conditioning tensor primitive values
+     */
+    ConditioningCollectionInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default conditioning_collection 
+       * @enum {string}
+       */
+      type: "conditioning_collection";
+      /**
+       * Collection 
+       * @description The collection of conditioning tensors 
+       * @default 0
+       */
+      collection?: (components["schemas"]["ConditioningField"])[];
+    };
     /**
      * ConditioningCollectionOutput 
      * @description Base class for nodes that output a collection of conditioning tensors
@@ -967,7 +1025,7 @@ export type components = {
     };
     /**
      * ConditioningField 
-     * @description A conditioning tensor primitive field
+     * @description A conditioning tensor primitive value
      */
     ConditioningField: {
       /**
@@ -1687,6 +1745,35 @@ export type components = {
        */
       field: string;
     };
+    /**
+     * Float Collection 
+     * @description A collection of float primitive values
+     */
+    FloatCollectionInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default float_collection 
+       * @enum {string}
+       */
+      type: "float_collection";
+      /**
+       * Collection 
+       * @description The collection of float values 
+       * @default 0
+       */
+      collection?: (number)[];
+    };
     /**
      * FloatCollectionOutput 
      * @description Base class for nodes that output a collection of floats
@@ -1705,7 +1792,7 @@ export type components = {
       collection?: (number)[];
     };
     /**
-     * Float Primitive 
+     * Float 
      * @description A float primitive value
      */
     FloatInvocation: {
@@ -1803,7 +1890,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: (components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
+        [key: string]: (components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
       };
       /**
        * Edges 
@@ -2051,7 +2138,7 @@ export type components = {
     };
     /**
      * Image Collection 
-     * @description Load a collection of images and provide it as output.
+     * @description A collection of image primitive values
      */
     ImageCollectionInvocation: {
       /**
@@ -2072,11 +2159,11 @@ export type components = {
        */
       type: "image_collection";
       /**
-       * Images 
-       * @description The image collection to load 
-       * @default []
+       * Collection 
+       * @description The collection of image values 
+       * @default 0
        */
-      images?: (components["schemas"]["ImageField"])[];
+      collection?: (components["schemas"]["ImageField"])[];
     };
     /**
      * ImageCollectionOutput 
@@ -2982,6 +3069,35 @@ export type components = {
        */
       seed?: number;
     };
+    /**
+     * Integer Collection 
+     * @description A collection of integer primitive values
+     */
+    IntegerCollectionInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default integer_collection 
+       * @enum {string}
+       */
+      type: "integer_collection";
+      /**
+       * Collection 
+       * @description The collection of integer values 
+       * @default 0
+       */
+      collection?: (number)[];
+    };
     /**
      * IntegerCollectionOutput 
      * @description Base class for nodes that output a collection of integers
@@ -3000,7 +3116,7 @@ export type components = {
       collection?: (number)[];
     };
     /**
-     * Integer Primitive 
+     * Integer 
      * @description An integer primitive value
      */
     IntegerInvocation: {
@@ -3096,6 +3212,35 @@ export type components = {
        */
       item?: unknown;
     };
+    /**
+     * Latents Collection 
+     * @description A collection of latents tensor primitive values
+     */
+    LatentsCollectionInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default latents_collection 
+       * @enum {string}
+       */
+      type: "latents_collection";
+      /**
+       * Collection 
+       * @description The collection of latents tensors 
+       * @default 0
+       */
+      collection?: (components["schemas"]["LatentsField"])[];
+    };
     /**
      * LatentsCollectionOutput 
      * @description Base class for nodes that output a collection of latents tensors
@@ -3108,10 +3253,10 @@ export type components = {
        */
       type?: "latents_collection_output";
       /**
-       * Latents 
+       * Collection 
        * @description Latents tensor
        */
-      latents?: (components["schemas"]["LatentsField"])[];
+      collection?: (components["schemas"]["LatentsField"])[];
     };
     /**
      * LatentsField 
@@ -5597,6 +5742,35 @@ export type components = {
        */
       show_easing_plot?: boolean;
     };
+    /**
+     * String Collection 
+     * @description A collection of string primitive values
+     */
+    StringCollectionInvocation: {
+      /**
+       * Id 
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type 
+       * @default string_collection 
+       * @enum {string}
+       */
+      type: "string_collection";
+      /**
+       * Collection 
+       * @description The collection of string values 
+       * @default 0
+       */
+      collection?: (string)[];
+    };
     /**
      * StringCollectionOutput 
      * @description Base class for nodes that output a collection of strings
@@ -5615,7 +5789,7 @@ export type components = {
       collection?: (string)[];
     };
     /**
-     * String Primitive 
+     * String 
      * @description A string primitive value
      */
     StringInvocation: {
@@ -5976,18 +6150,6 @@ export type components = {
       ui_hidden: boolean;
       ui_type?: components["schemas"]["UIType"];
     };
-    /**
-     * StableDiffusion2ModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusionOnnxModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusionOnnxModelFormat: "olive" | "onnx";
     /**
      * StableDiffusionXLModelFormat 
      * @description An enumeration. 
@@ -6006,6 +6168,18 @@ export type components = {
      * @enum {string}
      */
     ControlNetModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusion2ModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionOnnxModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusionOnnxModelFormat: "olive" | "onnx";
   };
   responses: never;
   parameters: never;
@@ -6116,7 +6290,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -6153,7 +6327,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {

From ec10aca91ed3d17487fd546b8b49c257d17f3203 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Tue, 15 Aug 2023 21:00:30 -0400
Subject: [PATCH 239/287] report RAM and RAM cache statistics

---
 invokeai/app/services/invocation_stats.py     | 95 +++++++++++++------
 .../app/services/model_manager_service.py     | 14 +++
 invokeai/app/services/processor.py            |  4 +-
 .../backend/model_management/model_cache.py   | 38 +++++++-
 4 files changed, 115 insertions(+), 36 deletions(-)

diff --git a/invokeai/app/services/invocation_stats.py b/invokeai/app/services/invocation_stats.py
index 9d50375c09..484544e40d 100644
--- a/invokeai/app/services/invocation_stats.py
+++ b/invokeai/app/services/invocation_stats.py
@@ -43,6 +43,11 @@ import invokeai.backend.util.logging as logger
 from ..invocations.baseinvocation import BaseInvocation
 from .graph import GraphExecutionState
 from .item_storage import ItemStorageABC
+from .model_manager_service import ModelManagerService
+from invokeai.backend.model_management.model_cache import CacheStats
+
+# size of GIG in bytes
+GIG = 1073741824
 
 
 class InvocationStatsServiceBase(ABC):
@@ -84,14 +89,15 @@ class InvocationStatsServiceBase(ABC):
         pass
 
     @abstractmethod
-    def update_invocation_stats(self,
-                                graph_id: str,
-                                invocation_type: str,
-                                time_used: float,
-                                vram_used: float,
-                                ram_used: float,
-                                ram_changed: float,
-                                ):
+    def update_invocation_stats(
+        self,
+        graph_id: str,
+        invocation_type: str,
+        time_used: float,
+        vram_used: float,
+        ram_used: float,
+        ram_changed: float,
+    ):
         """
         Add timing information on execution of a node. Usually
         used internally.
@@ -119,6 +125,9 @@ class NodeStats:
     calls: int = 0
     time_used: float = 0.0  # seconds
     max_vram: float = 0.0  # GB
+    cache_hits: int = 0
+    cache_misses: int = 0
+    cache_high_watermark: int = 0
 
 
 @dataclass
@@ -137,36 +146,50 @@ class InvocationStatsService(InvocationStatsServiceBase):
         self.graph_execution_manager = graph_execution_manager
         # {graph_id => NodeLog}
         self._stats: Dict[str, NodeLog] = {}
+        self._cache_stats: Dict[str, CacheStats] = {}
 
     class StatsContext:
-        def __init__(self, invocation: BaseInvocation, graph_id: str, collector: "InvocationStatsServiceBase"):
+        """Context manager for collecting statistics."""
+
+        def __init__(
+            self,
+            invocation: BaseInvocation,
+            graph_id: str,
+            model_manager: ModelManagerService,
+            collector: "InvocationStatsServiceBase",
+        ):
+            """Initialize statistics for this run."""
             self.invocation = invocation
             self.collector = collector
             self.graph_id = graph_id
             self.start_time = 0
-            self.ram_info = None
+            self.ram_used = 0
+            self.model_manager = model_manager
 
         def __enter__(self):
             self.start_time = time.time()
             if torch.cuda.is_available():
                 torch.cuda.reset_peak_memory_stats()
-            self.ram_info = psutil.virtual_memory()
-            
+            self.ram_used = psutil.Process().memory_info().rss
+            self.model_manager.collect_cache_stats(self.collector._cache_stats[self.graph_id])
 
         def __exit__(self, *args):
+            """Called on exit from the context."""
+            ram_used = psutil.Process().memory_info().rss
             self.collector.update_invocation_stats(
-                graph_id = self.graph_id,
-                invocation_type = self.invocation.type,
-                time_used = time.time() - self.start_time,
-                vram_used = torch.cuda.max_memory_allocated() / 1e9 if torch.cuda.is_available() else 0.0,
-                ram_used = psutil.virtual_memory().used / 1e9,
-                ram_changed = (psutil.virtual_memory().used - self.ram_info.used) / 1e9,
+                graph_id=self.graph_id,
+                invocation_type=self.invocation.type,
+                time_used=time.time() - self.start_time,
+                vram_used=torch.cuda.max_memory_allocated() / GIG if torch.cuda.is_available() else 0.0,
+                ram_used=ram_used / GIG,
+                ram_changed=(ram_used - self.ram_used) / GIG,
             )
 
     def collect_stats(
         self,
         invocation: BaseInvocation,
         graph_execution_state_id: str,
+        model_manager: ModelManagerService,
     ) -> StatsContext:
         """
         Return a context object that will capture the statistics.
@@ -175,7 +198,8 @@ class InvocationStatsService(InvocationStatsServiceBase):
         """
         if not self._stats.get(graph_execution_state_id):  # first time we're seeing this
             self._stats[graph_execution_state_id] = NodeLog()
-        return self.StatsContext(invocation, graph_execution_state_id, self)
+            self._cache_stats[graph_execution_state_id] = CacheStats()
+        return self.StatsContext(invocation, graph_execution_state_id, model_manager, self)
 
     def reset_all_stats(self):
         """Zero all statistics"""
@@ -188,14 +212,15 @@ class InvocationStatsService(InvocationStatsServiceBase):
         except KeyError:
             logger.warning(f"Attempted to clear statistics for unknown graph {graph_execution_id}")
 
-    def update_invocation_stats(self,
-                                graph_id: str,
-                                invocation_type: str,
-                                time_used: float,
-                                vram_used: float,
-                                ram_used: float,
-                                ram_changed: float,
-                                ):
+    def update_invocation_stats(
+        self,
+        graph_id: str,
+        invocation_type: str,
+        time_used: float,
+        vram_used: float,
+        ram_used: float,
+        ram_changed: float,
+    ):
         """
         Add timing information on execution of a node. Usually
         used internally.
@@ -218,7 +243,7 @@ class InvocationStatsService(InvocationStatsServiceBase):
     def log_stats(self):
         """
         Send the statistics to the system logger at the info level.
-        Stats will only be printed if when the execution of the graph
+        Stats will only be printed when the execution of the graph
         is complete.
         """
         completed = set()
@@ -235,11 +260,21 @@ class InvocationStatsService(InvocationStatsServiceBase):
                 total_time += stats.time_used
 
             logger.info(f"TOTAL GRAPH EXECUTION TIME:  {total_time:7.3f}s")
-            logger.info("Current RAM used: " + "%4.2fG" % stats.ram_used + f" (delta={stats.ram_changed:4.2f}G)")
+            logger.info("RAM used: " + "%4.2fG" % stats.ram_used + f" (delta={stats.ram_changed:4.2f}G)")
             if torch.cuda.is_available():
-                logger.info("Current VRAM used: " + "%4.2fG" % (torch.cuda.memory_allocated() / 1e9))
+                logger.info("VRAM used (all processes): " + "%4.2fG" % (torch.cuda.memory_allocated() / GIG))
+            cache_stats = self._cache_stats[graph_id]
+            logger.info("RAM cache statistics:")
+            logger.info(f"   Model cache hits: {cache_stats.hits}")
+            logger.info(f"   Model cache misses: {cache_stats.misses}")
+            logger.info(f"   Models cached: {cache_stats.in_cache}")
+            logger.info(f"   Models cleared from cache: {cache_stats.cleared}")
+            hwm = cache_stats.high_watermark / GIG
+            tot = cache_stats.cache_size / GIG
+            logger.info(f"   Cache RAM usage: {hwm:4.2f}/{tot:4.2f}G")
 
             completed.add(graph_id)
 
         for graph_id in completed:
             del self._stats[graph_id]
+            del self._cache_stats[graph_id]
diff --git a/invokeai/app/services/model_manager_service.py b/invokeai/app/services/model_manager_service.py
index fd14e26364..675bc71257 100644
--- a/invokeai/app/services/model_manager_service.py
+++ b/invokeai/app/services/model_manager_service.py
@@ -22,6 +22,7 @@ from invokeai.backend.model_management import (
     ModelNotFoundException,
 )
 from invokeai.backend.model_management.model_search import FindModels
+from invokeai.backend.model_management.model_cache import CacheStats
 
 import torch
 from invokeai.app.models.exceptions import CanceledException
@@ -276,6 +277,13 @@ class ModelManagerServiceBase(ABC):
         """
         pass
 
+    @abstractmethod
+    def collect_cache_stats(self, cache_stats: CacheStats):
+        """
+        Reset model cache statistics for graph with graph_id.
+        """
+        pass
+
     @abstractmethod
     def commit(self, conf_file: Optional[Path] = None) -> None:
         """
@@ -500,6 +508,12 @@ class ModelManagerService(ModelManagerServiceBase):
         self.logger.debug(f"convert model {model_name}")
         return self.mgr.convert_model(model_name, base_model, model_type, convert_dest_directory)
 
+    def collect_cache_stats(self, cache_stats: CacheStats):
+        """
+        Reset model cache statistics for graph with graph_id.
+        """
+        self.mgr.cache.stats = cache_stats
+
     def commit(self, conf_file: Optional[Path] = None):
         """
         Write current configuration out to the indicated file.
diff --git a/invokeai/app/services/processor.py b/invokeai/app/services/processor.py
index 41170a304b..6f35b3cb9e 100644
--- a/invokeai/app/services/processor.py
+++ b/invokeai/app/services/processor.py
@@ -86,7 +86,9 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
 
                 # Invoke
                 try:
-                    with statistics.collect_stats(invocation, graph_execution_state.id):
+                    graph_id = graph_execution_state.id
+                    model_manager = self.__invoker.services.model_manager
+                    with statistics.collect_stats(invocation, graph_id, model_manager):
                         outputs = invocation.invoke(
                             InvocationContext(
                                 services=self.__invoker.services,
diff --git a/invokeai/backend/model_management/model_cache.py b/invokeai/backend/model_management/model_cache.py
index 2b8d020269..a610694d0e 100644
--- a/invokeai/backend/model_management/model_cache.py
+++ b/invokeai/backend/model_management/model_cache.py
@@ -21,12 +21,12 @@ import os
 import sys
 import hashlib
 from contextlib import suppress
+from dataclasses import dataclass
 from pathlib import Path
 from typing import Dict, Union, types, Optional, Type, Any
 
 import torch
 
-import logging
 import invokeai.backend.util.logging as logger
 from .models import BaseModelType, ModelType, SubModelType, ModelBase
 
@@ -41,6 +41,16 @@ DEFAULT_MAX_VRAM_CACHE_SIZE = 2.75
 GIG = 1073741824
 
 
+@dataclass
+class CacheStats(object):
+    hits: int = 0
+    misses: int = 0
+    high_watermark: int = 0
+    in_cache: int = 0
+    cleared: int = 0
+    cache_size: int = 0
+
+
 class ModelLocker(object):
     "Forward declaration"
     pass
@@ -115,6 +125,9 @@ class ModelCache(object):
         self.sha_chunksize = sha_chunksize
         self.logger = logger
 
+        # used for stats collection
+        self.stats = None
+
         self._cached_models = dict()
         self._cache_stack = list()
 
@@ -188,6 +201,8 @@ class ModelCache(object):
             self.logger.info(
                 f"Loading model {model_path}, type {base_model.value}:{model_type.value}{':'+submodel.value if submodel else ''}"
             )
+            if self.stats:
+                self.stats.misses += 1
 
             # this will remove older cached models until
             # there is sufficient room to load the requested model
@@ -201,6 +216,14 @@ class ModelCache(object):
 
             cache_entry = _CacheRecord(self, model, mem_used)
             self._cached_models[key] = cache_entry
+        else:
+            if self.stats:
+                self.stats.hits += 1
+                self.stats.cache_size = self.max_cache_size * GIG
+
+        if self.stats:
+            self.stats.high_watermark = max(self.stats.high_watermark, self._cache_size())
+            self.stats.in_cache = len(self._cached_models)
 
         with suppress(Exception):
             self._cache_stack.remove(key)
@@ -280,14 +303,14 @@ class ModelCache(object):
         """
         Given the HF repo id or path to a model on disk, returns a unique
         hash. Works for legacy checkpoint files, HF models on disk, and HF repo IDs
+
         :param model_path: Path to model file/directory on disk.
         """
         return self._local_model_hash(model_path)
 
     def cache_size(self) -> float:
-        "Return the current size of the cache, in GB"
-        current_cache_size = sum([m.size for m in self._cached_models.values()])
-        return current_cache_size / GIG
+        """Return the current size of the cache, in GB."""
+        return self._cache_size() / GIG
 
     def _has_cuda(self) -> bool:
         return self.execution_device.type == "cuda"
@@ -310,12 +333,15 @@ class ModelCache(object):
             f"Current VRAM/RAM usage: {vram}/{ram}; cached_models/loaded_models/locked_models/ = {cached_models}/{loaded_models}/{locked_models}"
         )
 
+    def _cache_size(self) -> int:
+        return sum([m.size for m in self._cached_models.values()])
+
     def _make_cache_room(self, model_size):
         # calculate how much memory this model will require
         # multiplier = 2 if self.precision==torch.float32 else 1
         bytes_needed = model_size
         maximum_size = self.max_cache_size * GIG  # stored in GB, convert to bytes
-        current_size = sum([m.size for m in self._cached_models.values()])
+        current_size = self._cache_size()
 
         if current_size + bytes_needed > maximum_size:
             self.logger.debug(
@@ -364,6 +390,8 @@ class ModelCache(object):
                     f"Unloading model {model_key} to free {(model_size/GIG):.2f} GB (-{(cache_entry.size/GIG):.2f} GB)"
                 )
                 current_size -= cache_entry.size
+                if self.stats:
+                    self.stats.cleared += 1
                 del self._cache_stack[pos]
                 del self._cached_models[model_key]
                 del cache_entry

From f9958de6be8b11284c0d4d96e6afad56baafbbeb Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Tue, 15 Aug 2023 21:56:19 -0400
Subject: [PATCH 240/287] added memory used to load models

---
 invokeai/app/services/invocation_stats.py     | 21 +++++++++++-------
 .../backend/model_management/model_cache.py   | 22 +++++++++++--------
 2 files changed, 26 insertions(+), 17 deletions(-)

diff --git a/invokeai/app/services/invocation_stats.py b/invokeai/app/services/invocation_stats.py
index 484544e40d..4c1c65a998 100644
--- a/invokeai/app/services/invocation_stats.py
+++ b/invokeai/app/services/invocation_stats.py
@@ -256,22 +256,27 @@ class InvocationStatsService(InvocationStatsServiceBase):
             logger.info(f"Graph stats: {graph_id}")
             logger.info("Node                 Calls    Seconds VRAM Used")
             for node_type, stats in self._stats[graph_id].nodes.items():
-                logger.info(f"{node_type:<20} {stats.calls:>5}   {stats.time_used:7.3f}s     {stats.max_vram:4.2f}G")
+                logger.info(f"{node_type:<20} {stats.calls:>5}   {stats.time_used:7.3f}s     {stats.max_vram:4.3f}G")
                 total_time += stats.time_used
 
-            logger.info(f"TOTAL GRAPH EXECUTION TIME:  {total_time:7.3f}s")
-            logger.info("RAM used: " + "%4.2fG" % stats.ram_used + f" (delta={stats.ram_changed:4.2f}G)")
-            if torch.cuda.is_available():
-                logger.info("VRAM used (all processes): " + "%4.2fG" % (torch.cuda.memory_allocated() / GIG))
             cache_stats = self._cache_stats[graph_id]
+            hwm = cache_stats.high_watermark / GIG
+            tot = cache_stats.cache_size / GIG
+            loaded = sum([v for v in cache_stats.loaded_model_sizes.values()]) / GIG
+
+            logger.info(f"TOTAL GRAPH EXECUTION TIME:  {total_time:7.3f}s")
+            logger.info(
+                "RAM used by InvokeAI process: " + "%4.2fG" % stats.ram_used + f" (delta={stats.ram_changed:4.2f}G)"
+            )
+            logger.info(f"RAM used to load models: {loaded:4.2f}G")
+            if torch.cuda.is_available():
+                logger.info("VRAM in use: " + "%4.3fG" % (torch.cuda.memory_allocated() / GIG))
             logger.info("RAM cache statistics:")
             logger.info(f"   Model cache hits: {cache_stats.hits}")
             logger.info(f"   Model cache misses: {cache_stats.misses}")
             logger.info(f"   Models cached: {cache_stats.in_cache}")
             logger.info(f"   Models cleared from cache: {cache_stats.cleared}")
-            hwm = cache_stats.high_watermark / GIG
-            tot = cache_stats.cache_size / GIG
-            logger.info(f"   Cache RAM usage: {hwm:4.2f}/{tot:4.2f}G")
+            logger.info(f"   Cache high water mark: {hwm:4.2f}/{tot:4.2f}G")
 
             completed.add(graph_id)
 
diff --git a/invokeai/backend/model_management/model_cache.py b/invokeai/backend/model_management/model_cache.py
index a610694d0e..e83fd68102 100644
--- a/invokeai/backend/model_management/model_cache.py
+++ b/invokeai/backend/model_management/model_cache.py
@@ -21,7 +21,7 @@ import os
 import sys
 import hashlib
 from contextlib import suppress
-from dataclasses import dataclass
+from dataclasses import dataclass, field
 from pathlib import Path
 from typing import Dict, Union, types, Optional, Type, Any
 
@@ -43,12 +43,14 @@ GIG = 1073741824
 
 @dataclass
 class CacheStats(object):
-    hits: int = 0
-    misses: int = 0
-    high_watermark: int = 0
-    in_cache: int = 0
-    cleared: int = 0
-    cache_size: int = 0
+    hits: int = 0  # cache hits
+    misses: int = 0  # cache misses
+    high_watermark: int = 0  # amount of cache used
+    in_cache: int = 0  # number of models in cache
+    cleared: int = 0  # number of models cleared to make space
+    cache_size: int = 0  # total size of cache
+    # {submodel_key => size}
+    loaded_model_sizes: Dict[str, int] = field(default_factory=dict)
 
 
 class ModelLocker(object):
@@ -194,7 +196,6 @@ class ModelCache(object):
             model_type=model_type,
             submodel_type=submodel,
         )
-
         # TODO: lock for no copies on simultaneous calls?
         cache_entry = self._cached_models.get(key, None)
         if cache_entry is None:
@@ -219,11 +220,14 @@ class ModelCache(object):
         else:
             if self.stats:
                 self.stats.hits += 1
-                self.stats.cache_size = self.max_cache_size * GIG
 
         if self.stats:
+            self.stats.cache_size = self.max_cache_size * GIG
             self.stats.high_watermark = max(self.stats.high_watermark, self._cache_size())
             self.stats.in_cache = len(self._cached_models)
+            self.stats.loaded_model_sizes[key] = max(
+                self.stats.loaded_model_sizes.get("key", 0), model_info.get_size(submodel)
+            )
 
         with suppress(Exception):
             self._cache_stack.remove(key)

From 04a9894e774b48459334d9e1ab1eb214da1d61bc Mon Sep 17 00:00:00 2001
From: maryhipp <maryhipp@gmail.com>
Date: Fri, 11 Aug 2023 08:21:05 -0700
Subject: [PATCH 241/287] (api) add ability to pin and unpin images

---
 invokeai/app/services/image_record_storage.py | 36 +++++++++++++++++--
 invokeai/app/services/models/image_record.py  |  7 ++++
 2 files changed, 41 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/services/image_record_storage.py b/invokeai/app/services/image_record_storage.py
index 8c274ab8f9..21094f4e5c 100644
--- a/invokeai/app/services/image_record_storage.py
+++ b/invokeai/app/services/image_record_storage.py
@@ -67,6 +67,7 @@ IMAGE_DTO_COLS = ", ".join(
                 "created_at",
                 "updated_at",
                 "deleted_at",
+                "pinned"
             ],
         )
     )
@@ -139,6 +140,7 @@ class ImageRecordStorageBase(ABC):
         node_id: Optional[str],
         metadata: Optional[dict],
         is_intermediate: bool = False,
+        pinned: bool = False
     ) -> datetime:
         """Saves an image record."""
         pass
@@ -200,6 +202,16 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
             """
         )
 
+        self._cursor.execute("PRAGMA table_info(images)")
+        columns = [column[1] for column in self._cursor.fetchall()]
+        
+        if "pinned" not in columns:
+            self._cursor.execute(
+                """--sql
+                ALTER TABLE images ADD COLUMN pinned BOOLEAN DEFAULT FALSE;
+                """
+            )
+
         # Create the `images` table indices.
         self._cursor.execute(
             """--sql
@@ -222,6 +234,12 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
             """
         )
 
+        self._cursor.execute(
+            """--sql
+            CREATE INDEX IF NOT EXISTS idx_images_pinned ON images(pinned);
+            """
+        )
+
         # Add trigger for `updated_at`.
         self._cursor.execute(
             """--sql
@@ -321,6 +339,17 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
                     (changes.is_intermediate, image_name),
                 )
 
+            # Change the image's `pinned`` state
+            if changes.pinned is not None:
+                self._cursor.execute(
+                    f"""--sql
+                    UPDATE images
+                    SET pinned = ?
+                    WHERE image_name = ?;
+                    """,
+                    (changes.pinned, image_name),
+                )
+
             self._conn.commit()
         except sqlite3.Error as e:
             self._conn.rollback()
@@ -500,6 +529,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
         node_id: Optional[str],
         metadata: Optional[dict],
         is_intermediate: bool = False,
+        pinned: bool = False
     ) -> datetime:
         try:
             metadata_json = None if metadata is None else json.dumps(metadata)
@@ -515,9 +545,10 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
                     node_id,
                     session_id,
                     metadata,
-                    is_intermediate
+                    is_intermediate,
+                    pinned
                     )
-                VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?);
+                VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?);
                 """,
                 (
                     image_name,
@@ -529,6 +560,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
                     session_id,
                     metadata_json,
                     is_intermediate,
+                    pinned,
                 ),
             )
             self._conn.commit()
diff --git a/invokeai/app/services/models/image_record.py b/invokeai/app/services/models/image_record.py
index 294b760630..27cbea011f 100644
--- a/invokeai/app/services/models/image_record.py
+++ b/invokeai/app/services/models/image_record.py
@@ -39,6 +39,8 @@ class ImageRecord(BaseModelExcludeNull):
         description="The node ID that generated this image, if it is a generated image.",
     )
     """The node ID that generated this image, if it is a generated image."""
+    pinned: bool = Field(description="Whether this image is pinned.")
+    """Whether this image is pinned."""
 
 
 class ImageRecordChanges(BaseModelExcludeNull, extra=Extra.forbid):
@@ -48,6 +50,7 @@ class ImageRecordChanges(BaseModelExcludeNull, extra=Extra.forbid):
       - `image_category`: change the category of an image
       - `session_id`: change the session associated with an image
       - `is_intermediate`: change the image's `is_intermediate` flag
+      - `pinned`: change whether the image is pinned
     """
 
     image_category: Optional[ImageCategory] = Field(description="The image's new category.")
@@ -59,6 +62,8 @@ class ImageRecordChanges(BaseModelExcludeNull, extra=Extra.forbid):
     """The image's new session ID."""
     is_intermediate: Optional[StrictBool] = Field(default=None, description="The image's new `is_intermediate` flag.")
     """The image's new `is_intermediate` flag."""
+    pinned: Optional[StrictBool] = Field(default=None, description="The image's new `pinned` state")
+    """The image's new `pinned` state."""
 
 
 class ImageUrlsDTO(BaseModelExcludeNull):
@@ -113,6 +118,7 @@ def deserialize_image_record(image_dict: dict) -> ImageRecord:
     updated_at = image_dict.get("updated_at", get_iso_timestamp())
     deleted_at = image_dict.get("deleted_at", get_iso_timestamp())
     is_intermediate = image_dict.get("is_intermediate", False)
+    pinned = image_dict.get("pinned", False)
 
     return ImageRecord(
         image_name=image_name,
@@ -126,4 +132,5 @@ def deserialize_image_record(image_dict: dict) -> ImageRecord:
         updated_at=updated_at,
         deleted_at=deleted_at,
         is_intermediate=is_intermediate,
+        pinned=pinned
     )

From 37be827e1752bf3d7310d17babe9b4bb2859e527 Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Fri, 11 Aug 2023 11:50:54 -0400
Subject: [PATCH 242/287] (ui) hook up toggle pin mutation with context menu
 for single image

---
 .../SingleSelectionMenuItems.tsx              |   25 +-
 .../web/src/services/api/endpoints/images.ts  |   89 +-
 .../frontend/web/src/services/api/schema.d.ts | 4857 ++++++++++-------
 3 files changed, 2829 insertions(+), 2142 deletions(-)

diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
index f857abf5ff..f6c5a16f0a 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
@@ -29,10 +29,14 @@ import {
   FaShare,
   FaTrash,
 } from 'react-icons/fa';
-import { useGetImageMetadataQuery } from 'services/api/endpoints/images';
+import {
+  useChangeImagePinnedMutation,
+  useGetImageMetadataQuery,
+} from 'services/api/endpoints/images';
 import { ImageDTO } from 'services/api/types';
 import { useDebounce } from 'use-debounce';
 import { sentImageToCanvas, sentImageToImg2Img } from '../../store/actions';
+import { BsPinAngle, BsPinAngleFill } from 'react-icons/bs';
 
 type SingleSelectionMenuItemsProps = {
   imageDTO: ImageDTO;
@@ -59,6 +63,8 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
       : debouncedMetadataQueryArg ?? skipToken
   );
 
+  const [togglePin] = useChangeImagePinnedMutation();
+
   const { isClipboardAPIAvailable, copyImageToClipboard } =
     useCopyImageToClipboard();
 
@@ -127,6 +133,14 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
     copyImageToClipboard(imageDTO.image_url);
   }, [copyImageToClipboard, imageDTO.image_url]);
 
+  const handlePinImage = useCallback(() => {
+    togglePin({ imageName: imageDTO.image_name, pinned: true });
+  }, [togglePin, imageDTO.image_name]);
+
+  const handleUnpinImage = useCallback(() => {
+    togglePin({ imageName: imageDTO.image_name, pinned: false });
+  }, [togglePin, imageDTO.image_name]);
+
   return (
     <>
       <MenuItem
@@ -196,6 +210,15 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
       <MenuItem icon={<FaFolder />} onClickCapture={handleChangeBoard}>
         Change Board
       </MenuItem>
+      {imageDTO.pinned ? (
+        <MenuItem icon={<BsPinAngle />} onClickCapture={handleUnpinImage}>
+          Unpin Image
+        </MenuItem>
+      ) : (
+        <MenuItem icon={<BsPinAngleFill />} onClickCapture={handlePinImage}>
+          Pin Image
+        </MenuItem>
+      )}
       <MenuItem
         sx={{ color: 'error.600', _dark: { color: 'error.300' } }}
         icon={<FaTrash />}
diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index 0c52258f9d..e9d26c40d8 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -296,11 +296,11 @@ export const imagesApi = api.injectEndpoints({
             imageDTO.image_category
           )
             ? boardsApi.endpoints.getBoardImagesTotal.select(
-                imageDTO.board_id ?? 'none'
-              )(getState())
+              imageDTO.board_id ?? 'none'
+            )(getState())
             : boardsApi.endpoints.getBoardAssetsTotal.select(
-                imageDTO.board_id ?? 'none'
-              )(getState());
+              imageDTO.board_id ?? 'none'
+            )(getState());
 
           // IF it eligible for insertion into existing $cache
           // "eligible" means either:
@@ -387,6 +387,54 @@ export const imagesApi = api.injectEndpoints({
         }
       },
     }),
+    /**
+     * Change an image's `pinned` state.
+     */
+    changeImagePinned: build.mutation<
+      ImageDTO,
+      { imageName: string; pinned: boolean }
+    >({
+      query: ({ imageName, pinned }) => ({
+        url: `images/i/${imageName}`,
+        method: 'PATCH',
+        body: { pinned },
+      }),
+      // invalidatesTags: (result, error, { imageDTO }) => [
+      //   { type: 'BoardImagesTotal', id: imageDTO.board_id ?? 'none' },
+      //   { type: 'BoardAssetsTotal', id: imageDTO.board_id ?? 'none' },
+      // ],
+      async onQueryStarted(
+        { imageName, pinned },
+        { dispatch, queryFulfilled, getState }
+      ) {
+        /**
+         * Cache changes for `changeImageSessionId`:
+         * - *update* getImageDTO
+         */
+
+        // Store patches so we can undo if the query fails
+        const patches: PatchCollection[] = [];
+
+        // *update* getImageDTO
+        patches.push(
+          dispatch(
+            imagesApi.util.updateQueryData(
+              'getImageDTO',
+              imageName,
+              (draft) => {
+                Object.assign(draft, { pinned });
+              }
+            )
+          )
+        );
+
+        try {
+          await queryFulfilled;
+        } catch {
+          patches.forEach((patchResult) => patchResult.undo());
+        }
+      },
+    }),
     uploadImage: build.mutation<
       ImageDTO,
       {
@@ -726,11 +774,11 @@ export const imagesApi = api.injectEndpoints({
             imageDTO.image_category
           )
             ? boardsApi.endpoints.getBoardImagesTotal.select(
-                imageDTO.board_id ?? 'none'
-              )(getState())
+              imageDTO.board_id ?? 'none'
+            )(getState())
             : boardsApi.endpoints.getBoardAssetsTotal.select(
-                imageDTO.board_id ?? 'none'
-              )(getState());
+              imageDTO.board_id ?? 'none'
+            )(getState());
 
           const isCacheFullyPopulated =
             currentCache.data && currentCache.data.ids.length >= (total ?? 0);
@@ -846,11 +894,11 @@ export const imagesApi = api.injectEndpoints({
           imageDTO.image_category
         )
           ? boardsApi.endpoints.getBoardImagesTotal.select(
-              imageDTO.board_id ?? 'none'
-            )(getState())
+            imageDTO.board_id ?? 'none'
+          )(getState())
           : boardsApi.endpoints.getBoardAssetsTotal.select(
-              imageDTO.board_id ?? 'none'
-            )(getState());
+            imageDTO.board_id ?? 'none'
+          )(getState());
 
         const isCacheFullyPopulated =
           currentCache.data && currentCache.data.ids.length >= (total ?? 0);
@@ -973,11 +1021,11 @@ export const imagesApi = api.injectEndpoints({
               imageDTO.image_category
             )
               ? boardsApi.endpoints.getBoardImagesTotal.select(
-                  new_board_id ?? 'none'
-                )(getState())
+                new_board_id ?? 'none'
+              )(getState())
               : boardsApi.endpoints.getBoardAssetsTotal.select(
-                  new_board_id ?? 'none'
-                )(getState());
+                new_board_id ?? 'none'
+              )(getState());
 
             const isCacheFullyPopulated =
               currentCache.data &&
@@ -1104,11 +1152,11 @@ export const imagesApi = api.injectEndpoints({
               imageDTO.image_category
             )
               ? boardsApi.endpoints.getBoardImagesTotal.select(
-                  imageDTO.board_id ?? 'none'
-                )(getState())
+                imageDTO.board_id ?? 'none'
+              )(getState())
               : boardsApi.endpoints.getBoardAssetsTotal.select(
-                  imageDTO.board_id ?? 'none'
-                )(getState());
+                imageDTO.board_id ?? 'none'
+              )(getState());
 
             const isCacheFullyPopulated =
               currentCache.data && currentCache.data.ids.length >= (total ?? 0);
@@ -1158,6 +1206,7 @@ export const {
   useRemoveImageFromBoardMutation,
   useChangeImageIsIntermediateMutation,
   useChangeImageSessionIdMutation,
+  useChangeImagePinnedMutation,
   useDeleteBoardAndImagesMutation,
   useDeleteBoardMutation,
 } = imagesApi;
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 03fe79d708..ea40ea4f6f 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -3,294 +3,293 @@
  * Do not make direct changes to the file.
  */
 
-
 export type paths = {
-  "/api/v1/sessions/": {
+  '/api/v1/sessions/': {
     /**
-     * List Sessions 
+     * List Sessions
      * @description Gets a list of sessions, optionally searching
      */
-    get: operations["list_sessions"];
+    get: operations['list_sessions'];
     /**
-     * Create Session 
+     * Create Session
      * @description Creates a new session, optionally initializing it with an invocation graph
      */
-    post: operations["create_session"];
+    post: operations['create_session'];
   };
-  "/api/v1/sessions/{session_id}": {
+  '/api/v1/sessions/{session_id}': {
     /**
-     * Get Session 
+     * Get Session
      * @description Gets a session
      */
-    get: operations["get_session"];
+    get: operations['get_session'];
   };
-  "/api/v1/sessions/{session_id}/nodes": {
+  '/api/v1/sessions/{session_id}/nodes': {
     /**
-     * Add Node 
+     * Add Node
      * @description Adds a node to the graph
      */
-    post: operations["add_node"];
+    post: operations['add_node'];
   };
-  "/api/v1/sessions/{session_id}/nodes/{node_path}": {
+  '/api/v1/sessions/{session_id}/nodes/{node_path}': {
     /**
-     * Update Node 
+     * Update Node
      * @description Updates a node in the graph and removes all linked edges
      */
-    put: operations["update_node"];
+    put: operations['update_node'];
     /**
-     * Delete Node 
+     * Delete Node
      * @description Deletes a node in the graph and removes all linked edges
      */
-    delete: operations["delete_node"];
+    delete: operations['delete_node'];
   };
-  "/api/v1/sessions/{session_id}/edges": {
+  '/api/v1/sessions/{session_id}/edges': {
     /**
-     * Add Edge 
+     * Add Edge
      * @description Adds an edge to the graph
      */
-    post: operations["add_edge"];
+    post: operations['add_edge'];
   };
-  "/api/v1/sessions/{session_id}/edges/{from_node_id}/{from_field}/{to_node_id}/{to_field}": {
+  '/api/v1/sessions/{session_id}/edges/{from_node_id}/{from_field}/{to_node_id}/{to_field}': {
     /**
-     * Delete Edge 
+     * Delete Edge
      * @description Deletes an edge from the graph
      */
-    delete: operations["delete_edge"];
+    delete: operations['delete_edge'];
   };
-  "/api/v1/sessions/{session_id}/invoke": {
+  '/api/v1/sessions/{session_id}/invoke': {
     /**
-     * Invoke Session 
+     * Invoke Session
      * @description Invokes a session
      */
-    put: operations["invoke_session"];
+    put: operations['invoke_session'];
     /**
-     * Cancel Session Invoke 
+     * Cancel Session Invoke
      * @description Invokes a session
      */
-    delete: operations["cancel_session_invoke"];
+    delete: operations['cancel_session_invoke'];
   };
-  "/api/v1/models/": {
+  '/api/v1/models/': {
     /**
-     * List Models 
+     * List Models
      * @description Gets a list of models
      */
-    get: operations["list_models"];
+    get: operations['list_models'];
   };
-  "/api/v1/models/{base_model}/{model_type}/{model_name}": {
+  '/api/v1/models/{base_model}/{model_type}/{model_name}': {
     /**
-     * Delete Model 
+     * Delete Model
      * @description Delete Model
      */
-    delete: operations["del_model"];
+    delete: operations['del_model'];
     /**
-     * Update Model 
+     * Update Model
      * @description Update model contents with a new config. If the model name or base fields are changed, then the model is renamed.
      */
-    patch: operations["update_model"];
+    patch: operations['update_model'];
   };
-  "/api/v1/models/import": {
+  '/api/v1/models/import': {
     /**
-     * Import Model 
+     * Import Model
      * @description Add a model using its local path, repo_id, or remote URL. Model characteristics will be probed and configured automatically
      */
-    post: operations["import_model"];
+    post: operations['import_model'];
   };
-  "/api/v1/models/add": {
+  '/api/v1/models/add': {
     /**
-     * Add Model 
+     * Add Model
      * @description Add a model using the configuration information appropriate for its type. Only local models can be added by path
      */
-    post: operations["add_model"];
+    post: operations['add_model'];
   };
-  "/api/v1/models/convert/{base_model}/{model_type}/{model_name}": {
+  '/api/v1/models/convert/{base_model}/{model_type}/{model_name}': {
     /**
-     * Convert Model 
+     * Convert Model
      * @description Convert a checkpoint model into a diffusers model, optionally saving to the indicated destination directory, or `models` if none.
      */
-    put: operations["convert_model"];
+    put: operations['convert_model'];
   };
-  "/api/v1/models/search": {
+  '/api/v1/models/search': {
     /** Search For Models */
-    get: operations["search_for_models"];
+    get: operations['search_for_models'];
   };
-  "/api/v1/models/ckpt_confs": {
+  '/api/v1/models/ckpt_confs': {
     /**
-     * List Ckpt Configs 
+     * List Ckpt Configs
      * @description Return a list of the legacy checkpoint configuration files stored in `ROOT/configs/stable-diffusion`, relative to ROOT.
      */
-    get: operations["list_ckpt_configs"];
+    get: operations['list_ckpt_configs'];
   };
-  "/api/v1/models/sync": {
+  '/api/v1/models/sync': {
     /**
-     * Sync To Config 
+     * Sync To Config
      * @description Call after making changes to models.yaml, autoimport directories or models directory to synchronize
      * in-memory data structures with disk data structures.
      */
-    post: operations["sync_to_config"];
+    post: operations['sync_to_config'];
   };
-  "/api/v1/models/merge/{base_model}": {
+  '/api/v1/models/merge/{base_model}': {
     /**
-     * Merge Models 
+     * Merge Models
      * @description Convert a checkpoint model into a diffusers model
      */
-    put: operations["merge_models"];
+    put: operations['merge_models'];
   };
-  "/api/v1/images/upload": {
+  '/api/v1/images/upload': {
     /**
-     * Upload Image 
+     * Upload Image
      * @description Uploads an image
      */
-    post: operations["upload_image"];
+    post: operations['upload_image'];
   };
-  "/api/v1/images/i/{image_name}": {
+  '/api/v1/images/i/{image_name}': {
     /**
-     * Get Image Dto 
+     * Get Image Dto
      * @description Gets an image's DTO
      */
-    get: operations["get_image_dto"];
+    get: operations['get_image_dto'];
     /**
-     * Delete Image 
+     * Delete Image
      * @description Deletes an image
      */
-    delete: operations["delete_image"];
+    delete: operations['delete_image'];
     /**
-     * Update Image 
+     * Update Image
      * @description Updates an image
      */
-    patch: operations["update_image"];
+    patch: operations['update_image'];
   };
-  "/api/v1/images/clear-intermediates": {
+  '/api/v1/images/clear-intermediates': {
     /**
-     * Clear Intermediates 
+     * Clear Intermediates
      * @description Clears all intermediates
      */
-    post: operations["clear_intermediates"];
+    post: operations['clear_intermediates'];
   };
-  "/api/v1/images/i/{image_name}/metadata": {
+  '/api/v1/images/i/{image_name}/metadata': {
     /**
-     * Get Image Metadata 
+     * Get Image Metadata
      * @description Gets an image's metadata
      */
-    get: operations["get_image_metadata"];
+    get: operations['get_image_metadata'];
   };
-  "/api/v1/images/i/{image_name}/full": {
+  '/api/v1/images/i/{image_name}/full': {
     /**
-     * Get Image Full 
+     * Get Image Full
      * @description Gets a full-resolution image file
      */
-    get: operations["get_image_full"];
+    get: operations['get_image_full'];
     /**
-     * Get Image Full 
+     * Get Image Full
      * @description Gets a full-resolution image file
      */
-    head: operations["get_image_full"];
+    head: operations['get_image_full'];
   };
-  "/api/v1/images/i/{image_name}/thumbnail": {
+  '/api/v1/images/i/{image_name}/thumbnail': {
     /**
-     * Get Image Thumbnail 
+     * Get Image Thumbnail
      * @description Gets a thumbnail image file
      */
-    get: operations["get_image_thumbnail"];
+    get: operations['get_image_thumbnail'];
   };
-  "/api/v1/images/i/{image_name}/urls": {
+  '/api/v1/images/i/{image_name}/urls': {
     /**
-     * Get Image Urls 
+     * Get Image Urls
      * @description Gets an image and thumbnail URL
      */
-    get: operations["get_image_urls"];
+    get: operations['get_image_urls'];
   };
-  "/api/v1/images/": {
+  '/api/v1/images/': {
     /**
-     * List Image Dtos 
+     * List Image Dtos
      * @description Gets a list of image DTOs
      */
-    get: operations["list_image_dtos"];
+    get: operations['list_image_dtos'];
   };
-  "/api/v1/images/delete": {
+  '/api/v1/images/delete': {
     /** Delete Images From List */
-    post: operations["delete_images_from_list"];
+    post: operations['delete_images_from_list'];
   };
-  "/api/v1/boards/": {
+  '/api/v1/boards/': {
     /**
-     * List Boards 
+     * List Boards
      * @description Gets a list of boards
      */
-    get: operations["list_boards"];
+    get: operations['list_boards'];
     /**
-     * Create Board 
+     * Create Board
      * @description Creates a board
      */
-    post: operations["create_board"];
+    post: operations['create_board'];
   };
-  "/api/v1/boards/{board_id}": {
+  '/api/v1/boards/{board_id}': {
     /**
-     * Get Board 
+     * Get Board
      * @description Gets a board
      */
-    get: operations["get_board"];
+    get: operations['get_board'];
     /**
-     * Delete Board 
+     * Delete Board
      * @description Deletes a board
      */
-    delete: operations["delete_board"];
+    delete: operations['delete_board'];
     /**
-     * Update Board 
+     * Update Board
      * @description Updates a board
      */
-    patch: operations["update_board"];
+    patch: operations['update_board'];
   };
-  "/api/v1/boards/{board_id}/image_names": {
+  '/api/v1/boards/{board_id}/image_names': {
     /**
-     * List All Board Image Names 
+     * List All Board Image Names
      * @description Gets a list of images for a board
      */
-    get: operations["list_all_board_image_names"];
+    get: operations['list_all_board_image_names'];
   };
-  "/api/v1/board_images/": {
+  '/api/v1/board_images/': {
     /**
-     * Add Image To Board 
+     * Add Image To Board
      * @description Creates a board_image
      */
-    post: operations["add_image_to_board"];
+    post: operations['add_image_to_board'];
     /**
-     * Remove Image From Board 
+     * Remove Image From Board
      * @description Removes an image from its board, if it had one
      */
-    delete: operations["remove_image_from_board"];
+    delete: operations['remove_image_from_board'];
   };
-  "/api/v1/board_images/batch": {
+  '/api/v1/board_images/batch': {
     /**
-     * Add Images To Board 
+     * Add Images To Board
      * @description Adds a list of images to a board
      */
-    post: operations["add_images_to_board"];
+    post: operations['add_images_to_board'];
   };
-  "/api/v1/board_images/batch/delete": {
+  '/api/v1/board_images/batch/delete': {
     /**
-     * Remove Images From Board 
+     * Remove Images From Board
      * @description Removes a list of images from their board, if they had one
      */
-    post: operations["remove_images_from_board"];
+    post: operations['remove_images_from_board'];
   };
-  "/api/v1/app/version": {
+  '/api/v1/app/version': {
     /** Get Version */
-    get: operations["app_version"];
+    get: operations['app_version'];
   };
-  "/api/v1/app/config": {
+  '/api/v1/app/config': {
     /** Get Config */
-    get: operations["get_config"];
+    get: operations['get_config'];
   };
-  "/api/v1/app/logging": {
+  '/api/v1/app/logging': {
     /**
-     * Get Log Level 
+     * Get Log Level
      * @description Returns the log level
      */
-    get: operations["get_log_level"];
+    get: operations['get_log_level'];
     /**
-     * Set Log Level 
+     * Set Log Level
      * @description Sets the log verbosity level
      */
-    post: operations["set_log_level"];
+    post: operations['set_log_level'];
   };
 };
 
@@ -301,144 +300,144 @@ export type components = {
     /** AddImagesToBoardResult */
     AddImagesToBoardResult: {
       /**
-       * Board Id 
+       * Board Id
        * @description The id of the board the images were added to
        */
       board_id: string;
       /**
-       * Added Image Names 
+       * Added Image Names
        * @description The image names that were added to the board
        */
-      added_image_names: (string)[];
+      added_image_names: string[];
     };
     /**
-     * Add Integers 
+     * Add Integers
      * @description Adds two numbers
      */
     AddInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default add 
+       * Type
+       * @default add
        * @enum {string}
        */
-      type: "add";
+      type: 'add';
       /**
-       * A 
-       * @description The first number 
+       * A
+       * @description The first number
        * @default 0
        */
       a?: number;
       /**
-       * B 
-       * @description The second number 
+       * B
+       * @description The second number
        * @default 0
        */
       b?: number;
     };
     /**
-     * AppConfig 
+     * AppConfig
      * @description App Config Response
      */
     AppConfig: {
       /**
-       * Infill Methods 
+       * Infill Methods
        * @description List of available infill methods
        */
-      infill_methods: (string)[];
+      infill_methods: string[];
       /**
-       * Upscaling Methods 
+       * Upscaling Methods
        * @description List of upscaling methods
        */
-      upscaling_methods: (components["schemas"]["Upscaler"])[];
+      upscaling_methods: components['schemas']['Upscaler'][];
       /**
-       * Nsfw Methods 
+       * Nsfw Methods
        * @description List of NSFW checking methods
        */
-      nsfw_methods: (string)[];
+      nsfw_methods: string[];
       /**
-       * Watermarking Methods 
+       * Watermarking Methods
        * @description List of invisible watermark methods
        */
-      watermarking_methods: (string)[];
+      watermarking_methods: string[];
     };
     /**
-     * AppVersion 
+     * AppVersion
      * @description App Version Response
      */
     AppVersion: {
       /**
-       * Version 
+       * Version
        * @description App version
        */
       version: string;
     };
     /**
-     * BaseModelType 
-     * @description An enumeration. 
+     * BaseModelType
+     * @description An enumeration.
      * @enum {string}
      */
-    BaseModelType: "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner";
+    BaseModelType: 'sd-1' | 'sd-2' | 'sdxl' | 'sdxl-refiner';
     /** BoardChanges */
     BoardChanges: {
       /**
-       * Board Name 
+       * Board Name
        * @description The board's new name.
        */
       board_name?: string;
       /**
-       * Cover Image Name 
+       * Cover Image Name
        * @description The name of the board's new cover image.
        */
       cover_image_name?: string;
     };
     /**
-     * BoardDTO 
+     * BoardDTO
      * @description Deserialized board record with cover image URL and image count.
      */
     BoardDTO: {
       /**
-       * Board Id 
+       * Board Id
        * @description The unique ID of the board.
        */
       board_id: string;
       /**
-       * Board Name 
+       * Board Name
        * @description The name of the board.
        */
       board_name: string;
       /**
-       * Created At 
+       * Created At
        * @description The created timestamp of the board.
        */
       created_at: string;
       /**
-       * Updated At 
+       * Updated At
        * @description The updated timestamp of the board.
        */
       updated_at: string;
       /**
-       * Deleted At 
+       * Deleted At
        * @description The deleted timestamp of the board.
        */
       deleted_at?: string;
       /**
-       * Cover Image Name 
+       * Cover Image Name
        * @description The name of the board's cover image.
        */
       cover_image_name?: string;
       /**
-       * Image Count 
+       * Image Count
        * @description The number of images in the board.
        */
       image_count: number;
@@ -446,12 +445,12 @@ export type components = {
     /** Body_add_image_to_board */
     Body_add_image_to_board: {
       /**
-       * Board Id 
+       * Board Id
        * @description The id of the board to add to
        */
       board_id: string;
       /**
-       * Image Name 
+       * Image Name
        * @description The name of the image to add
        */
       image_name: string;
@@ -459,67 +458,67 @@ export type components = {
     /** Body_add_images_to_board */
     Body_add_images_to_board: {
       /**
-       * Board Id 
+       * Board Id
        * @description The id of the board to add to
        */
       board_id: string;
       /**
-       * Image Names 
+       * Image Names
        * @description The names of the images to add
        */
-      image_names: (string)[];
+      image_names: string[];
     };
     /** Body_delete_images_from_list */
     Body_delete_images_from_list: {
       /**
-       * Image Names 
+       * Image Names
        * @description The list of names of images to delete
        */
-      image_names: (string)[];
+      image_names: string[];
     };
     /** Body_import_model */
     Body_import_model: {
       /**
-       * Location 
+       * Location
        * @description A model path, repo_id or URL to import
        */
       location: string;
       /**
-       * Prediction Type 
-       * @description Prediction type for SDv2 checkpoint files 
-       * @default v_prediction 
+       * Prediction Type
+       * @description Prediction type for SDv2 checkpoint files
+       * @default v_prediction
        * @enum {string}
        */
-      prediction_type?: "v_prediction" | "epsilon" | "sample";
+      prediction_type?: 'v_prediction' | 'epsilon' | 'sample';
     };
     /** Body_merge_models */
     Body_merge_models: {
       /**
-       * Model Names 
+       * Model Names
        * @description model name
        */
-      model_names: (string)[];
+      model_names: string[];
       /**
-       * Merged Model Name 
+       * Merged Model Name
        * @description Name of destination model
        */
       merged_model_name: string;
       /**
-       * Alpha 
-       * @description Alpha weighting strength to apply to 2d and 3d models 
+       * Alpha
+       * @description Alpha weighting strength to apply to 2d and 3d models
        * @default 0.5
        */
       alpha?: number;
       /** @description Interpolation method */
-      interp: components["schemas"]["MergeInterpolationMethod"];
+      interp: components['schemas']['MergeInterpolationMethod'];
       /**
-       * Force 
-       * @description Force merging of models created with different versions of diffusers 
+       * Force
+       * @description Force merging of models created with different versions of diffusers
        * @default false
        */
       force?: boolean;
       /**
-       * Merge Dest Directory 
+       * Merge Dest Directory
        * @description Save the merged model to the designated directory (with 'merged_model_name' appended)
        */
       merge_dest_directory?: string;
@@ -527,7 +526,7 @@ export type components = {
     /** Body_remove_image_from_board */
     Body_remove_image_from_board: {
       /**
-       * Image Name 
+       * Image Name
        * @description The name of the image to remove
        */
       image_name: string;
@@ -535,147 +534,147 @@ export type components = {
     /** Body_remove_images_from_board */
     Body_remove_images_from_board: {
       /**
-       * Image Names 
+       * Image Names
        * @description The names of the images to remove
        */
-      image_names: (string)[];
+      image_names: string[];
     };
     /** Body_upload_image */
     Body_upload_image: {
       /**
-       * File 
+       * File
        * Format: binary
        */
       file: Blob;
     };
     /**
-     * Boolean Collection 
+     * Boolean Collection
      * @description A collection of boolean primitive values
      */
     BooleanCollectionInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default boolean_collection 
+       * Type
+       * @default boolean_collection
        * @enum {string}
        */
-      type: "boolean_collection";
+      type: 'boolean_collection';
       /**
-       * Collection 
-       * @description The collection of boolean values 
+       * Collection
+       * @description The collection of boolean values
        * @default false
        */
-      collection?: (boolean)[];
+      collection?: boolean[];
     };
     /**
-     * BooleanCollectionOutput 
+     * BooleanCollectionOutput
      * @description Base class for nodes that output a collection of booleans
      */
     BooleanCollectionOutput: {
       /**
-       * Type 
-       * @default boolean_collection_output 
+       * Type
+       * @default boolean_collection_output
        * @enum {string}
        */
-      type?: "boolean_collection_output";
+      type?: 'boolean_collection_output';
       /**
-       * Collection 
+       * Collection
        * @description The output boolean collection
        */
-      collection?: (boolean)[];
+      collection?: boolean[];
     };
     /**
-     * Boolean 
+     * Boolean
      * @description A boolean primitive value
      */
     BooleanInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default boolean 
+       * Type
+       * @default boolean
        * @enum {string}
        */
-      type: "boolean";
+      type: 'boolean';
       /**
-       * A 
-       * @description The boolean value 
+       * A
+       * @description The boolean value
        * @default false
        */
       a?: boolean;
     };
     /**
-     * BooleanOutput 
+     * BooleanOutput
      * @description Base class for nodes that output a single boolean
      */
     BooleanOutput: {
       /**
-       * Type 
-       * @default boolean_output 
+       * Type
+       * @default boolean_output
        * @enum {string}
        */
-      type?: "boolean_output";
+      type?: 'boolean_output';
       /**
-       * A 
+       * A
        * @description The output boolean
        */
       a: boolean;
     };
     /**
-     * Canny Processor 
+     * Canny Processor
      * @description Canny edge detection for ControlNet
      */
     CannyImageProcessorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default canny_image_processor 
+       * Type
+       * @default canny_image_processor
        * @enum {string}
        */
-      type: "canny_image_processor";
+      type: 'canny_image_processor';
       /**
-       * Image 
+       * Image
        * @description The image to process
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Low Threshold 
-       * @description The low threshold of the Canny pixel gradient (0-255) 
+       * Low Threshold
+       * @description The low threshold of the Canny pixel gradient (0-255)
        * @default 100
        */
       low_threshold?: number;
       /**
-       * High Threshold 
-       * @description The high threshold of the Canny pixel gradient (0-255) 
+       * High Threshold
+       * @description The high threshold of the Canny pixel gradient (0-255)
        * @default 200
        */
       high_threshold?: number;
@@ -683,240 +682,240 @@ export type components = {
     /** ClipField */
     ClipField: {
       /**
-       * Tokenizer 
+       * Tokenizer
        * @description Info to load tokenizer submodel
        */
-      tokenizer: components["schemas"]["ModelInfo"];
+      tokenizer: components['schemas']['ModelInfo'];
       /**
-       * Text Encoder 
+       * Text Encoder
        * @description Info to load text_encoder submodel
        */
-      text_encoder: components["schemas"]["ModelInfo"];
+      text_encoder: components['schemas']['ModelInfo'];
       /**
-       * Skipped Layers 
+       * Skipped Layers
        * @description Number of skipped layers in text_encoder
        */
       skipped_layers: number;
       /**
-       * Loras 
+       * Loras
        * @description Loras to apply on model loading
        */
-      loras: (components["schemas"]["LoraInfo"])[];
+      loras: components['schemas']['LoraInfo'][];
     };
     /**
-     * CLIP Skip 
+     * CLIP Skip
      * @description Skip layers in clip text_encoder model.
      */
     ClipSkipInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default clip_skip 
+       * Type
+       * @default clip_skip
        * @enum {string}
        */
-      type: "clip_skip";
+      type: 'clip_skip';
       /**
-       * CLIP 
+       * CLIP
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components["schemas"]["ClipField"];
+      clip?: components['schemas']['ClipField'];
       /**
-       * Skipped Layers 
-       * @description Number of layers to skip in text encoder 
+       * Skipped Layers
+       * @description Number of layers to skip in text encoder
        * @default 0
        */
       skipped_layers?: number;
     };
     /**
-     * ClipSkipInvocationOutput 
+     * ClipSkipInvocationOutput
      * @description Clip skip node output
      */
     ClipSkipInvocationOutput: {
       /**
-       * Type 
-       * @default clip_skip_output 
+       * Type
+       * @default clip_skip_output
        * @enum {string}
        */
-      type?: "clip_skip_output";
+      type?: 'clip_skip_output';
       /**
-       * CLIP 
+       * CLIP
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components["schemas"]["ClipField"];
+      clip?: components['schemas']['ClipField'];
     };
     /**
-     * CollectInvocation 
+     * CollectInvocation
      * @description Collects values into a collection
      */
     CollectInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default collect 
+       * Type
+       * @default collect
        * @enum {string}
        */
-      type: "collect";
+      type: 'collect';
       /**
-       * Collection Item 
+       * Collection Item
        * @description The item to collect (all inputs must be of the same type)
        */
       item?: unknown;
       /**
-       * Collection 
+       * Collection
        * @description The collection, will be provided on execution
        */
-      collection?: (unknown)[];
+      collection?: unknown[];
     };
     /**
-     * CollectInvocationOutput 
+     * CollectInvocationOutput
      * @description Base class for all invocation outputs
      */
     CollectInvocationOutput: {
       /**
-       * Type 
-       * @default collect_output 
+       * Type
+       * @default collect_output
        * @enum {string}
        */
-      type?: "collect_output";
+      type?: 'collect_output';
       /**
-       * Collection 
+       * Collection
        * @description The collection of input items
        */
-      collection: (unknown)[];
+      collection: unknown[];
     };
     /**
-     * ColorCollectionOutput 
+     * ColorCollectionOutput
      * @description Base class for nodes that output a collection of colors
      */
     ColorCollectionOutput: {
       /**
-       * Type 
-       * @default color_collection_output 
+       * Type
+       * @default color_collection_output
        * @enum {string}
        */
-      type?: "color_collection_output";
+      type?: 'color_collection_output';
       /**
-       * Collection 
+       * Collection
        * @description The output colors
        */
-      collection?: (components["schemas"]["ColorField"])[];
+      collection?: components['schemas']['ColorField'][];
     };
     /**
-     * Color Correct 
+     * Color Correct
      * @description Shifts the colors of a target image to match the reference image, optionally
      * using a mask to only color-correct certain regions of the target image.
      */
     ColorCorrectInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default color_correct 
+       * Type
+       * @default color_correct
        * @enum {string}
        */
-      type: "color_correct";
+      type: 'color_correct';
       /**
-       * Image 
+       * Image
        * @description The image to color-correct
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Reference 
+       * Reference
        * @description Reference image for color-correction
        */
-      reference?: components["schemas"]["ImageField"];
+      reference?: components['schemas']['ImageField'];
       /**
-       * Mask 
+       * Mask
        * @description Mask to use when applying color-correction
        */
-      mask?: components["schemas"]["ImageField"];
+      mask?: components['schemas']['ImageField'];
       /**
-       * Mask Blur Radius 
-       * @description Mask blur radius 
+       * Mask Blur Radius
+       * @description Mask blur radius
        * @default 8
        */
       mask_blur_radius?: number;
     };
     /**
-     * ColorField 
+     * ColorField
      * @description A color primitive field
      */
     ColorField: {
       /**
-       * R 
+       * R
        * @description The red component
        */
       r: number;
       /**
-       * G 
+       * G
        * @description The green component
        */
       g: number;
       /**
-       * B 
+       * B
        * @description The blue component
        */
       b: number;
       /**
-       * A 
+       * A
        * @description The alpha component
        */
       a: number;
     };
     /**
-     * Color Primitive 
+     * Color Primitive
      * @description A color primitive value
      */
     ColorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default color 
+       * Type
+       * @default color
        * @enum {string}
        */
-      type: "color";
+      type: 'color';
       /**
-       * Color 
-       * @description The color value 
+       * Color
+       * @description The color value
        * @default {
        *   "r": 0,
        *   "g": 0,
@@ -924,215 +923,215 @@ export type components = {
        *   "a": 255
        * }
        */
-      color?: components["schemas"]["ColorField"];
+      color?: components['schemas']['ColorField'];
     };
     /**
-     * ColorOutput 
+     * ColorOutput
      * @description Base class for nodes that output a single color
      */
     ColorOutput: {
       /**
-       * Type 
-       * @default color_output 
+       * Type
+       * @default color_output
        * @enum {string}
        */
-      type?: "color_output";
+      type?: 'color_output';
       /**
-       * Color 
+       * Color
        * @description The output color
        */
-      color: components["schemas"]["ColorField"];
+      color: components['schemas']['ColorField'];
     };
     /**
-     * Compel Prompt 
+     * Compel Prompt
      * @description Parse prompt using compel package to conditioning.
      */
     CompelInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default compel 
+       * Type
+       * @default compel
        * @enum {string}
        */
-      type: "compel";
+      type: 'compel';
       /**
-       * Prompt 
-       * @description Prompt to be parsed by Compel to create a conditioning tensor 
+       * Prompt
+       * @description Prompt to be parsed by Compel to create a conditioning tensor
        * @default
        */
       prompt?: string;
       /**
-       * CLIP 
+       * CLIP
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components["schemas"]["ClipField"];
+      clip?: components['schemas']['ClipField'];
     };
     /**
-     * Conditioning Collection 
+     * Conditioning Collection
      * @description A collection of conditioning tensor primitive values
      */
     ConditioningCollectionInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default conditioning_collection 
+       * Type
+       * @default conditioning_collection
        * @enum {string}
        */
-      type: "conditioning_collection";
+      type: 'conditioning_collection';
       /**
-       * Collection 
-       * @description The collection of conditioning tensors 
+       * Collection
+       * @description The collection of conditioning tensors
        * @default 0
        */
-      collection?: (components["schemas"]["ConditioningField"])[];
+      collection?: components['schemas']['ConditioningField'][];
     };
     /**
-     * ConditioningCollectionOutput 
+     * ConditioningCollectionOutput
      * @description Base class for nodes that output a collection of conditioning tensors
      */
     ConditioningCollectionOutput: {
       /**
-       * Type 
-       * @default conditioning_collection_output 
+       * Type
+       * @default conditioning_collection_output
        * @enum {string}
        */
-      type?: "conditioning_collection_output";
+      type?: 'conditioning_collection_output';
       /**
-       * Collection 
+       * Collection
        * @description The output conditioning tensors
        */
-      collection?: (components["schemas"]["ConditioningField"])[];
+      collection?: components['schemas']['ConditioningField'][];
     };
     /**
-     * ConditioningField 
+     * ConditioningField
      * @description A conditioning tensor primitive value
      */
     ConditioningField: {
       /**
-       * Conditioning Name 
+       * Conditioning Name
        * @description The name of conditioning tensor
        */
       conditioning_name: string;
     };
     /**
-     * Conditioning Primitive 
+     * Conditioning Primitive
      * @description A conditioning tensor primitive value
      */
     ConditioningInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default conditioning 
+       * Type
+       * @default conditioning
        * @enum {string}
        */
-      type: "conditioning";
+      type: 'conditioning';
       /**
-       * Conditioning 
+       * Conditioning
        * @description Conditioning tensor
        */
-      conditioning?: components["schemas"]["ConditioningField"];
+      conditioning?: components['schemas']['ConditioningField'];
     };
     /**
-     * ConditioningOutput 
+     * ConditioningOutput
      * @description Base class for nodes that output a single conditioning tensor
      */
     ConditioningOutput: {
       /**
-       * Type 
-       * @default conditioning_output 
+       * Type
+       * @default conditioning_output
        * @enum {string}
        */
-      type?: "conditioning_output";
+      type?: 'conditioning_output';
       /**
-       * Conditioning 
+       * Conditioning
        * @description Conditioning tensor
        */
-      conditioning: components["schemas"]["ConditioningField"];
+      conditioning: components['schemas']['ConditioningField'];
     };
     /**
-     * Content Shuffle Processor 
+     * Content Shuffle Processor
      * @description Applies content shuffle processing to image
      */
     ContentShuffleImageProcessorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default content_shuffle_image_processor 
+       * Type
+       * @default content_shuffle_image_processor
        * @enum {string}
        */
-      type: "content_shuffle_image_processor";
+      type: 'content_shuffle_image_processor';
       /**
-       * Image 
+       * Image
        * @description The image to process
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Detect Resolution 
-       * @description Pixel resolution for detection 
+       * Detect Resolution
+       * @description Pixel resolution for detection
        * @default 512
        */
       detect_resolution?: number;
       /**
-       * Image Resolution 
-       * @description Pixel resolution for output image 
+       * Image Resolution
+       * @description Pixel resolution for output image
        * @default 512
        */
       image_resolution?: number;
       /**
-       * H 
-       * @description Content shuffle `h` parameter 
+       * H
+       * @description Content shuffle `h` parameter
        * @default 512
        */
       h?: number;
       /**
-       * W 
-       * @description Content shuffle `w` parameter 
+       * W
+       * @description Content shuffle `w` parameter
        * @default 512
        */
       w?: number;
       /**
-       * F 
-       * @description Content shuffle `f` parameter 
+       * F
+       * @description Content shuffle `f` parameter
        * @default 256
        */
       f?: number;
@@ -1140,134 +1139,142 @@ export type components = {
     /** ControlField */
     ControlField: {
       /**
-       * Image 
+       * Image
        * @description The control image
        */
-      image: components["schemas"]["ImageField"];
+      image: components['schemas']['ImageField'];
       /**
-       * Control Model 
+       * Control Model
        * @description The ControlNet model to use
        */
-      control_model: components["schemas"]["ControlNetModelField"];
+      control_model: components['schemas']['ControlNetModelField'];
       /**
-       * Control Weight 
-       * @description The weight given to the ControlNet 
+       * Control Weight
+       * @description The weight given to the ControlNet
        * @default 1
        */
-      control_weight?: number | (number)[];
+      control_weight?: number | number[];
       /**
-       * Begin Step Percent 
-       * @description When the ControlNet is first applied (% of total steps) 
+       * Begin Step Percent
+       * @description When the ControlNet is first applied (% of total steps)
        * @default 0
        */
       begin_step_percent?: number;
       /**
-       * End Step Percent 
-       * @description When the ControlNet is last applied (% of total steps) 
+       * End Step Percent
+       * @description When the ControlNet is last applied (% of total steps)
        * @default 1
        */
       end_step_percent?: number;
       /**
-       * Control Mode 
-       * @description The control mode to use 
-       * @default balanced 
+       * Control Mode
+       * @description The control mode to use
+       * @default balanced
        * @enum {string}
        */
-      control_mode?: "balanced" | "more_prompt" | "more_control" | "unbalanced";
+      control_mode?: 'balanced' | 'more_prompt' | 'more_control' | 'unbalanced';
       /**
-       * Resize Mode 
-       * @description The resize mode to use 
-       * @default just_resize 
+       * Resize Mode
+       * @description The resize mode to use
+       * @default just_resize
        * @enum {string}
        */
-      resize_mode?: "just_resize" | "crop_resize" | "fill_resize" | "just_resize_simple";
+      resize_mode?:
+        | 'just_resize'
+        | 'crop_resize'
+        | 'fill_resize'
+        | 'just_resize_simple';
     };
     /**
-     * ControlNet 
+     * ControlNet
      * @description Collects ControlNet info to pass to other nodes
      */
     ControlNetInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default controlnet 
+       * Type
+       * @default controlnet
        * @enum {string}
        */
-      type: "controlnet";
+      type: 'controlnet';
       /**
-       * Image 
+       * Image
        * @description The control image
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Control Model 
-       * @description ControlNet model to load 
+       * Control Model
+       * @description ControlNet model to load
        * @default lllyasviel/sd-controlnet-canny
        */
-      control_model?: components["schemas"]["ControlNetModelField"];
+      control_model?: components['schemas']['ControlNetModelField'];
       /**
-       * Control Weight 
-       * @description The weight given to the ControlNet 
+       * Control Weight
+       * @description The weight given to the ControlNet
        * @default 1
        */
-      control_weight?: number | (number)[];
+      control_weight?: number | number[];
       /**
-       * Begin Step Percent 
-       * @description When the ControlNet is first applied (% of total steps) 
+       * Begin Step Percent
+       * @description When the ControlNet is first applied (% of total steps)
        * @default 0
        */
       begin_step_percent?: number;
       /**
-       * End Step Percent 
-       * @description When the ControlNet is last applied (% of total steps) 
+       * End Step Percent
+       * @description When the ControlNet is last applied (% of total steps)
        * @default 1
        */
       end_step_percent?: number;
       /**
-       * Control Mode 
-       * @description The control mode used 
-       * @default balanced 
+       * Control Mode
+       * @description The control mode used
+       * @default balanced
        * @enum {string}
        */
-      control_mode?: "balanced" | "more_prompt" | "more_control" | "unbalanced";
+      control_mode?: 'balanced' | 'more_prompt' | 'more_control' | 'unbalanced';
       /**
-       * Resize Mode 
-       * @description The resize mode used 
-       * @default just_resize 
+       * Resize Mode
+       * @description The resize mode used
+       * @default just_resize
        * @enum {string}
        */
-      resize_mode?: "just_resize" | "crop_resize" | "fill_resize" | "just_resize_simple";
+      resize_mode?:
+        | 'just_resize'
+        | 'crop_resize'
+        | 'fill_resize'
+        | 'just_resize_simple';
     };
     /** ControlNetModelCheckpointConfig */
     ControlNetModelCheckpointConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
       /**
-       * Model Type 
+       * Model Type
        * @enum {string}
        */
-      model_type: "controlnet";
+      model_type: 'controlnet';
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format 
+       * Model Format
        * @enum {string}
        */
-      model_format: "checkpoint";
-      error?: components["schemas"]["ModelError"];
+      model_format: 'checkpoint';
+      error?: components['schemas']['ModelError'];
       /** Config */
       config: string;
     };
@@ -1275,605 +1282,633 @@ export type components = {
     ControlNetModelDiffusersConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
       /**
-       * Model Type 
+       * Model Type
        * @enum {string}
        */
-      model_type: "controlnet";
+      model_type: 'controlnet';
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format 
+       * Model Format
        * @enum {string}
        */
-      model_format: "diffusers";
-      error?: components["schemas"]["ModelError"];
+      model_format: 'diffusers';
+      error?: components['schemas']['ModelError'];
     };
     /**
-     * ControlNetModelField 
+     * ControlNetModelField
      * @description ControlNet model field
      */
     ControlNetModelField: {
       /**
-       * Model Name 
+       * Model Name
        * @description Name of the ControlNet model
        */
       model_name: string;
       /** @description Base model */
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
     };
     /**
-     * ControlOutput 
+     * ControlOutput
      * @description node output for ControlNet info
      */
     ControlOutput: {
       /**
-       * Type 
-       * @default control_output 
+       * Type
+       * @default control_output
        * @enum {string}
        */
-      type?: "control_output";
+      type?: 'control_output';
       /**
-       * Control 
+       * Control
        * @description ControlNet(s) to apply
        */
-      control: components["schemas"]["ControlField"];
+      control: components['schemas']['ControlField'];
     };
     /**
-     * CoreMetadata 
+     * CoreMetadata
      * @description Core generation metadata for an image generated in InvokeAI.
      */
     CoreMetadata: {
       /**
-       * App Version 
-       * @description The version of InvokeAI used to generate this image 
+       * App Version
+       * @description The version of InvokeAI used to generate this image
        * @default 3.0.2post1
        */
       app_version?: string;
       /**
-       * Generation Mode 
+       * Generation Mode
        * @description The generation mode that output this image
        */
       generation_mode: string;
       /**
-       * Positive Prompt 
+       * Positive Prompt
        * @description The positive prompt parameter
        */
       positive_prompt: string;
       /**
-       * Negative Prompt 
+       * Negative Prompt
        * @description The negative prompt parameter
        */
       negative_prompt: string;
       /**
-       * Width 
+       * Width
        * @description The width parameter
        */
       width: number;
       /**
-       * Height 
+       * Height
        * @description The height parameter
        */
       height: number;
       /**
-       * Seed 
+       * Seed
        * @description The seed used for noise generation
        */
       seed: number;
       /**
-       * Rand Device 
+       * Rand Device
        * @description The device used for random number generation
        */
       rand_device: string;
       /**
-       * Cfg Scale 
+       * Cfg Scale
        * @description The classifier-free guidance scale parameter
        */
       cfg_scale: number;
       /**
-       * Steps 
+       * Steps
        * @description The number of steps used for inference
        */
       steps: number;
       /**
-       * Scheduler 
+       * Scheduler
        * @description The scheduler used for inference
        */
       scheduler: string;
       /**
-       * Clip Skip 
+       * Clip Skip
        * @description The number of skipped CLIP layers
        */
       clip_skip: number;
       /**
-       * Model 
+       * Model
        * @description The main model used for inference
        */
-      model: components["schemas"]["MainModelField"];
+      model: components['schemas']['MainModelField'];
       /**
-       * Controlnets 
+       * Controlnets
        * @description The ControlNets used for inference
        */
-      controlnets: (components["schemas"]["ControlField"])[];
+      controlnets: components['schemas']['ControlField'][];
       /**
-       * Loras 
+       * Loras
        * @description The LoRAs used for inference
        */
-      loras: (components["schemas"]["LoRAMetadataField"])[];
+      loras: components['schemas']['LoRAMetadataField'][];
       /**
-       * Vae 
+       * Vae
        * @description The VAE used for decoding, if the main model's default was not used
        */
-      vae?: components["schemas"]["VAEModelField"];
+      vae?: components['schemas']['VAEModelField'];
       /**
-       * Strength 
+       * Strength
        * @description The strength used for latents-to-latents
        */
       strength?: number;
       /**
-       * Init Image 
+       * Init Image
        * @description The name of the initial image
        */
       init_image?: string;
       /**
-       * Positive Style Prompt 
+       * Positive Style Prompt
        * @description The positive style prompt parameter
        */
       positive_style_prompt?: string;
       /**
-       * Negative Style Prompt 
+       * Negative Style Prompt
        * @description The negative style prompt parameter
        */
       negative_style_prompt?: string;
       /**
-       * Refiner Model 
+       * Refiner Model
        * @description The SDXL Refiner model used
        */
-      refiner_model?: components["schemas"]["MainModelField"];
+      refiner_model?: components['schemas']['MainModelField'];
       /**
-       * Refiner Cfg Scale 
+       * Refiner Cfg Scale
        * @description The classifier-free guidance scale parameter used for the refiner
        */
       refiner_cfg_scale?: number;
       /**
-       * Refiner Steps 
+       * Refiner Steps
        * @description The number of steps used for the refiner
        */
       refiner_steps?: number;
       /**
-       * Refiner Scheduler 
+       * Refiner Scheduler
        * @description The scheduler used for the refiner
        */
       refiner_scheduler?: string;
       /**
-       * Refiner Positive Aesthetic Store 
+       * Refiner Positive Aesthetic Store
        * @description The aesthetic score used for the refiner
        */
       refiner_positive_aesthetic_store?: number;
       /**
-       * Refiner Negative Aesthetic Store 
+       * Refiner Negative Aesthetic Store
        * @description The aesthetic score used for the refiner
        */
       refiner_negative_aesthetic_store?: number;
       /**
-       * Refiner Start 
+       * Refiner Start
        * @description The start value used for refiner denoising
        */
       refiner_start?: number;
     };
     /**
-     * OpenCV Inpaint 
+     * OpenCV Inpaint
      * @description Simple inpaint using opencv.
      */
     CvInpaintInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default cv_inpaint 
+       * Type
+       * @default cv_inpaint
        * @enum {string}
        */
-      type: "cv_inpaint";
+      type: 'cv_inpaint';
       /**
-       * Image 
+       * Image
        * @description The image to inpaint
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Mask 
+       * Mask
        * @description The mask to use when inpainting
        */
-      mask?: components["schemas"]["ImageField"];
+      mask?: components['schemas']['ImageField'];
     };
     /** DeleteBoardResult */
     DeleteBoardResult: {
       /**
-       * Board Id 
+       * Board Id
        * @description The id of the board that was deleted.
        */
       board_id: string;
       /**
-       * Deleted Board Images 
+       * Deleted Board Images
        * @description The image names of the board-images relationships that were deleted.
        */
-      deleted_board_images: (string)[];
+      deleted_board_images: string[];
       /**
-       * Deleted Images 
+       * Deleted Images
        * @description The names of the images that were deleted.
        */
-      deleted_images: (string)[];
+      deleted_images: string[];
     };
     /** DeleteImagesFromListResult */
     DeleteImagesFromListResult: {
       /** Deleted Images */
-      deleted_images: (string)[];
+      deleted_images: string[];
     };
     /**
-     * Denoise Latents 
+     * Denoise Latents
      * @description Denoises noisy latents to decodable images
      */
     DenoiseLatentsInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default denoise_latents 
+       * Type
+       * @default denoise_latents
        * @enum {string}
        */
-      type: "denoise_latents";
+      type: 'denoise_latents';
       /**
-       * Noise 
+       * Noise
        * @description Noise tensor
        */
-      noise?: components["schemas"]["LatentsField"];
+      noise?: components['schemas']['LatentsField'];
       /**
-       * Steps 
-       * @description Number of steps to run 
+       * Steps
+       * @description Number of steps to run
        * @default 10
        */
       steps?: number;
       /**
-       * Cfg Scale 
-       * @description Classifier-Free Guidance scale 
+       * Cfg Scale
+       * @description Classifier-Free Guidance scale
        * @default 7.5
        */
-      cfg_scale?: number | (number)[];
+      cfg_scale?: number | number[];
       /**
-       * Denoising Start 
-       * @description When to start denoising, expressed a percentage of total steps 
+       * Denoising Start
+       * @description When to start denoising, expressed a percentage of total steps
        * @default 0
        */
       denoising_start?: number;
       /**
-       * Denoising End 
-       * @description When to stop denoising, expressed a percentage of total steps 
+       * Denoising End
+       * @description When to stop denoising, expressed a percentage of total steps
        * @default 1
        */
       denoising_end?: number;
       /**
-       * Scheduler 
-       * @description Scheduler to use during inference 
-       * @default euler 
+       * Scheduler
+       * @description Scheduler to use during inference
+       * @default euler
        * @enum {string}
        */
-      scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
+      scheduler?:
+        | 'ddim'
+        | 'ddpm'
+        | 'deis'
+        | 'lms'
+        | 'lms_k'
+        | 'pndm'
+        | 'heun'
+        | 'heun_k'
+        | 'euler'
+        | 'euler_k'
+        | 'euler_a'
+        | 'kdpm_2'
+        | 'kdpm_2_a'
+        | 'dpmpp_2s'
+        | 'dpmpp_2s_k'
+        | 'dpmpp_2m'
+        | 'dpmpp_2m_k'
+        | 'dpmpp_2m_sde'
+        | 'dpmpp_2m_sde_k'
+        | 'dpmpp_sde'
+        | 'dpmpp_sde_k'
+        | 'unipc';
       /**
-       * Control 
+       * Control
        * @description ControlNet(s) to apply
        */
-      control?: components["schemas"]["ControlField"] | (components["schemas"]["ControlField"])[];
+      control?:
+        | components['schemas']['ControlField']
+        | components['schemas']['ControlField'][];
       /**
-       * Latents 
+       * Latents
        * @description Latents tensor
        */
-      latents?: components["schemas"]["LatentsField"];
+      latents?: components['schemas']['LatentsField'];
       /**
-       * Mask 
+       * Mask
        * @description The mask to use for the operation
        */
-      mask?: components["schemas"]["ImageField"];
+      mask?: components['schemas']['ImageField'];
       /**
-       * Positive Conditioning 
+       * Positive Conditioning
        * @description Positive conditioning tensor
        */
-      positive_conditioning?: components["schemas"]["ConditioningField"];
+      positive_conditioning?: components['schemas']['ConditioningField'];
       /**
-       * Negative Conditioning 
+       * Negative Conditioning
        * @description Negative conditioning tensor
        */
-      negative_conditioning?: components["schemas"]["ConditioningField"];
+      negative_conditioning?: components['schemas']['ConditioningField'];
       /**
-       * Unet 
+       * Unet
        * @description UNet (scheduler, LoRAs)
        */
-      unet?: components["schemas"]["UNetField"];
+      unet?: components['schemas']['UNetField'];
     };
     /**
-     * Divide Integers 
+     * Divide Integers
      * @description Divides two numbers
      */
     DivideInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default div 
+       * Type
+       * @default div
        * @enum {string}
        */
-      type: "div";
+      type: 'div';
       /**
-       * A 
-       * @description The first number 
+       * A
+       * @description The first number
        * @default 0
        */
       a?: number;
       /**
-       * B 
-       * @description The second number 
+       * B
+       * @description The second number
        * @default 0
        */
       b?: number;
     };
     /**
-     * Dynamic Prompt 
+     * Dynamic Prompt
      * @description Parses a prompt using adieyal/dynamicprompts' random or combinatorial generator
      */
     DynamicPromptInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default dynamic_prompt 
+       * Type
+       * @default dynamic_prompt
        * @enum {string}
        */
-      type: "dynamic_prompt";
+      type: 'dynamic_prompt';
       /**
-       * Prompt 
+       * Prompt
        * @description The prompt to parse with dynamicprompts
        */
       prompt?: string;
       /**
-       * Max Prompts 
-       * @description The number of prompts to generate 
+       * Max Prompts
+       * @description The number of prompts to generate
        * @default 1
        */
       max_prompts?: number;
       /**
-       * Combinatorial 
-       * @description Whether to use the combinatorial generator 
+       * Combinatorial
+       * @description Whether to use the combinatorial generator
        * @default false
        */
       combinatorial?: boolean;
     };
     /**
-     * Upscale (RealESRGAN) 
+     * Upscale (RealESRGAN)
      * @description Upscales an image using RealESRGAN.
      */
     ESRGANInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default esrgan 
+       * Type
+       * @default esrgan
        * @enum {string}
        */
-      type: "esrgan";
+      type: 'esrgan';
       /**
-       * Image 
+       * Image
        * @description The input image
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Model Name 
-       * @description The Real-ESRGAN model to use 
-       * @default RealESRGAN_x4plus.pth 
+       * Model Name
+       * @description The Real-ESRGAN model to use
+       * @default RealESRGAN_x4plus.pth
        * @enum {string}
        */
-      model_name?: "RealESRGAN_x4plus.pth" | "RealESRGAN_x4plus_anime_6B.pth" | "ESRGAN_SRx4_DF2KOST_official-ff704c30.pth" | "RealESRGAN_x2plus.pth";
+      model_name?:
+        | 'RealESRGAN_x4plus.pth'
+        | 'RealESRGAN_x4plus_anime_6B.pth'
+        | 'ESRGAN_SRx4_DF2KOST_official-ff704c30.pth'
+        | 'RealESRGAN_x2plus.pth';
     };
     /** Edge */
     Edge: {
       /**
-       * Source 
+       * Source
        * @description The connection for the edge's from node and field
        */
-      source: components["schemas"]["EdgeConnection"];
+      source: components['schemas']['EdgeConnection'];
       /**
-       * Destination 
+       * Destination
        * @description The connection for the edge's to node and field
        */
-      destination: components["schemas"]["EdgeConnection"];
+      destination: components['schemas']['EdgeConnection'];
     };
     /** EdgeConnection */
     EdgeConnection: {
       /**
-       * Node Id 
+       * Node Id
        * @description The id of the node for this edge connection
        */
       node_id: string;
       /**
-       * Field 
+       * Field
        * @description The field for this connection
        */
       field: string;
     };
     /**
-     * Float Collection 
+     * Float Collection
      * @description A collection of float primitive values
      */
     FloatCollectionInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default float_collection 
+       * Type
+       * @default float_collection
        * @enum {string}
        */
-      type: "float_collection";
+      type: 'float_collection';
       /**
-       * Collection 
-       * @description The collection of float values 
+       * Collection
+       * @description The collection of float values
        * @default 0
        */
-      collection?: (number)[];
+      collection?: number[];
     };
     /**
-     * FloatCollectionOutput 
+     * FloatCollectionOutput
      * @description Base class for nodes that output a collection of floats
      */
     FloatCollectionOutput: {
       /**
-       * Type 
-       * @default float_collection_output 
+       * Type
+       * @default float_collection_output
        * @enum {string}
        */
-      type?: "float_collection_output";
+      type?: 'float_collection_output';
       /**
-       * Collection 
+       * Collection
        * @description The float collection
        */
-      collection?: (number)[];
+      collection?: number[];
     };
     /**
-     * Float 
+     * Float
      * @description A float primitive value
      */
     FloatInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default float 
+       * Type
+       * @default float
        * @enum {string}
        */
-      type: "float";
+      type: 'float';
       /**
-       * Param 
-       * @description The float value 
+       * Param
+       * @description The float value
        * @default 0
        */
       param?: number;
     };
     /**
-     * Float Range 
+     * Float Range
      * @description Creates a range
      */
     FloatLinearRangeInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default float_range 
+       * Type
+       * @default float_range
        * @enum {string}
        */
-      type: "float_range";
+      type: 'float_range';
       /**
-       * Start 
-       * @description The first value of the range 
+       * Start
+       * @description The first value of the range
        * @default 5
        */
       start?: number;
       /**
-       * Stop 
-       * @description The last value of the range 
+       * Stop
+       * @description The last value of the range
        * @default 10
        */
       stop?: number;
       /**
-       * Steps 
-       * @description number of values to interpolate over (including start and stop) 
+       * Steps
+       * @description number of values to interpolate over (including start and stop)
        * @default 30
        */
       steps?: number;
     };
     /**
-     * FloatOutput 
+     * FloatOutput
      * @description Base class for nodes that output a single float
      */
     FloatOutput: {
       /**
-       * Type 
-       * @default float_output 
+       * Type
+       * @default float_output
        * @enum {string}
        */
-      type?: "float_output";
+      type?: 'float_output';
       /**
-       * A 
+       * A
        * @description The output float
        */
       a: number;
@@ -1881,1118 +1916,1279 @@ export type components = {
     /** Graph */
     Graph: {
       /**
-       * Id 
+       * Id
        * @description The id of this graph
        */
       id?: string;
       /**
-       * Nodes 
+       * Nodes
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: (components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
+        [key: string]:
+          | (
+              | components['schemas']['BooleanInvocation']
+              | components['schemas']['BooleanCollectionInvocation']
+              | components['schemas']['IntegerInvocation']
+              | components['schemas']['IntegerCollectionInvocation']
+              | components['schemas']['FloatInvocation']
+              | components['schemas']['FloatCollectionInvocation']
+              | components['schemas']['StringInvocation']
+              | components['schemas']['StringCollectionInvocation']
+              | components['schemas']['ImageInvocation']
+              | components['schemas']['ImageCollectionInvocation']
+              | components['schemas']['LatentsInvocation']
+              | components['schemas']['LatentsCollectionInvocation']
+              | components['schemas']['ColorInvocation']
+              | components['schemas']['ConditioningInvocation']
+              | components['schemas']['ConditioningCollectionInvocation']
+              | components['schemas']['ControlNetInvocation']
+              | components['schemas']['ImageProcessorInvocation']
+              | components['schemas']['MainModelLoaderInvocation']
+              | components['schemas']['LoraLoaderInvocation']
+              | components['schemas']['SDXLLoraLoaderInvocation']
+              | components['schemas']['VaeLoaderInvocation']
+              | components['schemas']['MetadataAccumulatorInvocation']
+              | components['schemas']['SDXLModelLoaderInvocation']
+              | components['schemas']['SDXLRefinerModelLoaderInvocation']
+              | components['schemas']['CompelInvocation']
+              | components['schemas']['SDXLCompelPromptInvocation']
+              | components['schemas']['SDXLRefinerCompelPromptInvocation']
+              | components['schemas']['ClipSkipInvocation']
+              | components['schemas']['DenoiseLatentsInvocation']
+              | components['schemas']['LatentsToImageInvocation']
+              | components['schemas']['ResizeLatentsInvocation']
+              | components['schemas']['ScaleLatentsInvocation']
+              | components['schemas']['ImageToLatentsInvocation']
+              | components['schemas']['ONNXPromptInvocation']
+              | components['schemas']['ONNXTextToLatentsInvocation']
+              | components['schemas']['ONNXLatentsToImageInvocation']
+              | components['schemas']['OnnxModelLoaderInvocation']
+              | components['schemas']['ShowImageInvocation']
+              | components['schemas']['ImageCropInvocation']
+              | components['schemas']['ImagePasteInvocation']
+              | components['schemas']['MaskFromAlphaInvocation']
+              | components['schemas']['ImageMultiplyInvocation']
+              | components['schemas']['ImageChannelInvocation']
+              | components['schemas']['ImageConvertInvocation']
+              | components['schemas']['ImageBlurInvocation']
+              | components['schemas']['ImageResizeInvocation']
+              | components['schemas']['ImageScaleInvocation']
+              | components['schemas']['ImageLerpInvocation']
+              | components['schemas']['ImageInverseLerpInvocation']
+              | components['schemas']['ImageNSFWBlurInvocation']
+              | components['schemas']['ImageWatermarkInvocation']
+              | components['schemas']['MaskEdgeInvocation']
+              | components['schemas']['MaskCombineInvocation']
+              | components['schemas']['ColorCorrectInvocation']
+              | components['schemas']['ImageHueAdjustmentInvocation']
+              | components['schemas']['ImageLuminosityAdjustmentInvocation']
+              | components['schemas']['ImageSaturationAdjustmentInvocation']
+              | components['schemas']['DynamicPromptInvocation']
+              | components['schemas']['PromptsFromFileInvocation']
+              | components['schemas']['CvInpaintInvocation']
+              | components['schemas']['FloatLinearRangeInvocation']
+              | components['schemas']['StepParamEasingInvocation']
+              | components['schemas']['AddInvocation']
+              | components['schemas']['SubtractInvocation']
+              | components['schemas']['MultiplyInvocation']
+              | components['schemas']['DivideInvocation']
+              | components['schemas']['RandomIntInvocation']
+              | components['schemas']['NoiseInvocation']
+              | components['schemas']['RangeInvocation']
+              | components['schemas']['RangeOfSizeInvocation']
+              | components['schemas']['RandomRangeInvocation']
+              | components['schemas']['ESRGANInvocation']
+              | components['schemas']['InfillColorInvocation']
+              | components['schemas']['InfillTileInvocation']
+              | components['schemas']['InfillPatchMatchInvocation']
+              | components['schemas']['GraphInvocation']
+              | components['schemas']['IterateInvocation']
+              | components['schemas']['CollectInvocation']
+              | components['schemas']['CannyImageProcessorInvocation']
+              | components['schemas']['HedImageProcessorInvocation']
+              | components['schemas']['LineartImageProcessorInvocation']
+              | components['schemas']['LineartAnimeImageProcessorInvocation']
+              | components['schemas']['OpenposeImageProcessorInvocation']
+              | components['schemas']['MidasDepthImageProcessorInvocation']
+              | components['schemas']['NormalbaeImageProcessorInvocation']
+              | components['schemas']['MlsdImageProcessorInvocation']
+              | components['schemas']['PidiImageProcessorInvocation']
+              | components['schemas']['ContentShuffleImageProcessorInvocation']
+              | components['schemas']['ZoeDepthImageProcessorInvocation']
+              | components['schemas']['MediapipeFaceProcessorInvocation']
+              | components['schemas']['LeresImageProcessorInvocation']
+              | components['schemas']['TileResamplerProcessorInvocation']
+              | components['schemas']['SegmentAnythingProcessorInvocation']
+            )
+          | undefined;
       };
       /**
-       * Edges 
+       * Edges
        * @description The connections between nodes and their fields in this graph
        */
-      edges?: (components["schemas"]["Edge"])[];
+      edges?: components['schemas']['Edge'][];
     };
     /**
-     * GraphExecutionState 
+     * GraphExecutionState
      * @description Tracks the state of a graph execution
      */
     GraphExecutionState: {
       /**
-       * Id 
+       * Id
        * @description The id of the execution state
        */
       id: string;
       /**
-       * Graph 
+       * Graph
        * @description The graph being executed
        */
-      graph: components["schemas"]["Graph"];
+      graph: components['schemas']['Graph'];
       /**
-       * Execution Graph 
+       * Execution Graph
        * @description The expanded graph of activated and executed nodes
        */
-      execution_graph: components["schemas"]["Graph"];
+      execution_graph: components['schemas']['Graph'];
       /**
-       * Executed 
+       * Executed
        * @description The set of node ids that have been executed
        */
-      executed: (string)[];
+      executed: string[];
       /**
-       * Executed History 
+       * Executed History
        * @description The list of node ids that have been executed, in order of execution
        */
-      executed_history: (string)[];
+      executed_history: string[];
       /**
-       * Results 
+       * Results
        * @description The results of node executions
        */
       results: {
-        [key: string]: (components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
+        [key: string]:
+          | (
+              | components['schemas']['BooleanOutput']
+              | components['schemas']['BooleanCollectionOutput']
+              | components['schemas']['IntegerOutput']
+              | components['schemas']['IntegerCollectionOutput']
+              | components['schemas']['FloatOutput']
+              | components['schemas']['FloatCollectionOutput']
+              | components['schemas']['StringOutput']
+              | components['schemas']['StringCollectionOutput']
+              | components['schemas']['ImageOutput']
+              | components['schemas']['ImageCollectionOutput']
+              | components['schemas']['LatentsOutput']
+              | components['schemas']['LatentsCollectionOutput']
+              | components['schemas']['ColorOutput']
+              | components['schemas']['ColorCollectionOutput']
+              | components['schemas']['ConditioningOutput']
+              | components['schemas']['ConditioningCollectionOutput']
+              | components['schemas']['ControlOutput']
+              | components['schemas']['ModelLoaderOutput']
+              | components['schemas']['LoraLoaderOutput']
+              | components['schemas']['SDXLLoraLoaderOutput']
+              | components['schemas']['VaeLoaderOutput']
+              | components['schemas']['MetadataAccumulatorOutput']
+              | components['schemas']['SDXLModelLoaderOutput']
+              | components['schemas']['SDXLRefinerModelLoaderOutput']
+              | components['schemas']['ClipSkipInvocationOutput']
+              | components['schemas']['ONNXModelLoaderOutput']
+              | components['schemas']['NoiseOutput']
+              | components['schemas']['GraphInvocationOutput']
+              | components['schemas']['IterateInvocationOutput']
+              | components['schemas']['CollectInvocationOutput']
+            )
+          | undefined;
       };
       /**
-       * Errors 
+       * Errors
        * @description Errors raised when executing nodes
        */
       errors: {
         [key: string]: string | undefined;
       };
       /**
-       * Prepared Source Mapping 
+       * Prepared Source Mapping
        * @description The map of prepared nodes to original graph nodes
        */
       prepared_source_mapping: {
         [key: string]: string | undefined;
       };
       /**
-       * Source Prepared Mapping 
+       * Source Prepared Mapping
        * @description The map of original graph nodes to prepared nodes
        */
       source_prepared_mapping: {
-        [key: string]: (string)[] | undefined;
+        [key: string]: string[] | undefined;
       };
     };
     /**
-     * GraphInvocation 
+     * GraphInvocation
      * @description Execute a graph
      */
     GraphInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default graph 
+       * Type
+       * @default graph
        * @enum {string}
        */
-      type: "graph";
+      type: 'graph';
       /**
-       * Graph 
+       * Graph
        * @description The graph to run
        */
-      graph?: components["schemas"]["Graph"];
+      graph?: components['schemas']['Graph'];
     };
     /**
-     * GraphInvocationOutput 
+     * GraphInvocationOutput
      * @description Base class for all invocation outputs
      */
     GraphInvocationOutput: {
       /**
-       * Type 
-       * @default graph_output 
+       * Type
+       * @default graph_output
        * @enum {string}
        */
-      type: "graph_output";
+      type: 'graph_output';
     };
     /** HTTPValidationError */
     HTTPValidationError: {
       /** Detail */
-      detail?: (components["schemas"]["ValidationError"])[];
+      detail?: components['schemas']['ValidationError'][];
     };
     /**
-     * HED (softedge) Processor 
+     * HED (softedge) Processor
      * @description Applies HED edge detection to image
      */
     HedImageProcessorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default hed_image_processor 
+       * Type
+       * @default hed_image_processor
        * @enum {string}
        */
-      type: "hed_image_processor";
+      type: 'hed_image_processor';
       /**
-       * Image 
+       * Image
        * @description The image to process
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Detect Resolution 
-       * @description Pixel resolution for detection 
+       * Detect Resolution
+       * @description Pixel resolution for detection
        * @default 512
        */
       detect_resolution?: number;
       /**
-       * Image Resolution 
-       * @description Pixel resolution for output image 
+       * Image Resolution
+       * @description Pixel resolution for output image
        * @default 512
        */
       image_resolution?: number;
       /**
-       * Scribble 
-       * @description Whether or not to use scribble mode 
+       * Scribble
+       * @description Whether or not to use scribble mode
        * @default false
        */
       scribble?: boolean;
     };
     /**
-     * Blur Image 
+     * Blur Image
      * @description Blurs an image
      */
     ImageBlurInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default img_blur 
+       * Type
+       * @default img_blur
        * @enum {string}
        */
-      type: "img_blur";
+      type: 'img_blur';
       /**
-       * Image 
+       * Image
        * @description The image to blur
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Radius 
-       * @description The blur radius 
+       * Radius
+       * @description The blur radius
        * @default 8
        */
       radius?: number;
       /**
-       * Blur Type 
-       * @description The type of blur 
-       * @default gaussian 
+       * Blur Type
+       * @description The type of blur
+       * @default gaussian
        * @enum {string}
        */
-      blur_type?: "gaussian" | "box";
+      blur_type?: 'gaussian' | 'box';
     };
     /**
-     * ImageCategory 
+     * ImageCategory
      * @description The category of an image.
-     * 
+     *
      * - GENERAL: The image is an output, init image, or otherwise an image without a specialized purpose.
      * - MASK: The image is a mask image.
      * - CONTROL: The image is a ControlNet control image.
      * - USER: The image is a user-provide image.
-     * - OTHER: The image is some other type of image with a specialized purpose. To be used by external nodes. 
+     * - OTHER: The image is some other type of image with a specialized purpose. To be used by external nodes.
      * @enum {string}
      */
-    ImageCategory: "general" | "mask" | "control" | "user" | "other";
+    ImageCategory: 'general' | 'mask' | 'control' | 'user' | 'other';
     /**
-     * Extract Image Channel 
+     * Extract Image Channel
      * @description Gets a channel from an image.
      */
     ImageChannelInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default img_chan 
+       * Type
+       * @default img_chan
        * @enum {string}
        */
-      type: "img_chan";
+      type: 'img_chan';
       /**
-       * Image 
+       * Image
        * @description The image to get the channel from
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Channel 
-       * @description The channel to get 
-       * @default A 
+       * Channel
+       * @description The channel to get
+       * @default A
        * @enum {string}
        */
-      channel?: "A" | "R" | "G" | "B";
+      channel?: 'A' | 'R' | 'G' | 'B';
     };
     /**
-     * Image Collection 
+     * Image Collection
      * @description A collection of image primitive values
      */
     ImageCollectionInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default image_collection 
+       * Type
+       * @default image_collection
        * @enum {string}
        */
-      type: "image_collection";
+      type: 'image_collection';
       /**
-       * Collection 
-       * @description The collection of image values 
+       * Collection
+       * @description The collection of image values
        * @default 0
        */
-      collection?: (components["schemas"]["ImageField"])[];
+      collection?: components['schemas']['ImageField'][];
     };
     /**
-     * ImageCollectionOutput 
+     * ImageCollectionOutput
      * @description Base class for nodes that output a collection of images
      */
     ImageCollectionOutput: {
       /**
-       * Type 
-       * @default image_collection_output 
+       * Type
+       * @default image_collection_output
        * @enum {string}
        */
-      type?: "image_collection_output";
+      type?: 'image_collection_output';
       /**
-       * Collection 
+       * Collection
        * @description The output images
        */
-      collection?: (components["schemas"]["ImageField"])[];
+      collection?: components['schemas']['ImageField'][];
     };
     /**
-     * Convert Image Mode 
+     * Convert Image Mode
      * @description Converts an image to a different mode.
      */
     ImageConvertInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default img_conv 
+       * Type
+       * @default img_conv
        * @enum {string}
        */
-      type: "img_conv";
+      type: 'img_conv';
       /**
-       * Image 
+       * Image
        * @description The image to convert
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Mode 
-       * @description The mode to convert to 
-       * @default L 
+       * Mode
+       * @description The mode to convert to
+       * @default L
        * @enum {string}
        */
-      mode?: "L" | "RGB" | "RGBA" | "CMYK" | "YCbCr" | "LAB" | "HSV" | "I" | "F";
+      mode?:
+        | 'L'
+        | 'RGB'
+        | 'RGBA'
+        | 'CMYK'
+        | 'YCbCr'
+        | 'LAB'
+        | 'HSV'
+        | 'I'
+        | 'F';
     };
     /**
-     * Crop Image 
+     * Crop Image
      * @description Crops an image to a specified box. The box can be outside of the image.
      */
     ImageCropInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default img_crop 
+       * Type
+       * @default img_crop
        * @enum {string}
        */
-      type: "img_crop";
+      type: 'img_crop';
       /**
-       * Image 
+       * Image
        * @description The image to crop
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * X 
-       * @description The left x coordinate of the crop rectangle 
+       * X
+       * @description The left x coordinate of the crop rectangle
        * @default 0
        */
       x?: number;
       /**
-       * Y 
-       * @description The top y coordinate of the crop rectangle 
+       * Y
+       * @description The top y coordinate of the crop rectangle
        * @default 0
        */
       y?: number;
       /**
-       * Width 
-       * @description The width of the crop rectangle 
+       * Width
+       * @description The width of the crop rectangle
        * @default 512
        */
       width?: number;
       /**
-       * Height 
-       * @description The height of the crop rectangle 
+       * Height
+       * @description The height of the crop rectangle
        * @default 512
        */
       height?: number;
     };
     /**
-     * ImageDTO 
+     * ImageDTO
      * @description Deserialized image record, enriched for the frontend.
      */
     ImageDTO: {
       /**
-       * Image Name 
+       * Image Name
        * @description The unique name of the image.
        */
       image_name: string;
       /**
-       * Image Url 
+       * Image Url
        * @description The URL of the image.
        */
       image_url: string;
       /**
-       * Thumbnail Url 
+       * Thumbnail Url
        * @description The URL of the image's thumbnail.
        */
       thumbnail_url: string;
       /** @description The type of the image. */
-      image_origin: components["schemas"]["ResourceOrigin"];
+      image_origin: components['schemas']['ResourceOrigin'];
       /** @description The category of the image. */
-      image_category: components["schemas"]["ImageCategory"];
+      image_category: components['schemas']['ImageCategory'];
       /**
-       * Width 
+       * Width
        * @description The width of the image in px.
        */
       width: number;
       /**
-       * Height 
+       * Height
        * @description The height of the image in px.
        */
       height: number;
       /**
-       * Created At 
+       * Created At
        * @description The created timestamp of the image.
        */
       created_at: string;
       /**
-       * Updated At 
+       * Updated At
        * @description The updated timestamp of the image.
        */
       updated_at: string;
       /**
-       * Deleted At 
+       * Deleted At
        * @description The deleted timestamp of the image.
        */
       deleted_at?: string;
       /**
-       * Is Intermediate 
+       * Is Intermediate
        * @description Whether this is an intermediate image.
        */
       is_intermediate: boolean;
       /**
-       * Session Id 
+       * Session Id
        * @description The session ID that generated this image, if it is a generated image.
        */
       session_id?: string;
       /**
-       * Node Id 
+       * Node Id
        * @description The node ID that generated this image, if it is a generated image.
        */
       node_id?: string;
       /**
-       * Board Id 
+       * Pinned
+       * @description Whether this image is pinned.
+       */
+      pinned: boolean;
+      /**
+       * Board Id
        * @description The id of the board the image belongs to, if one exists.
        */
       board_id?: string;
     };
     /**
-     * ImageField 
+     * ImageField
      * @description An image primitive field
      */
     ImageField: {
       /**
-       * Image Name 
+       * Image Name
        * @description The name of the image
        */
       image_name: string;
     };
     /**
-     * Image Hue Adjustment 
+     * Image Hue Adjustment
      * @description Adjusts the Hue of an image.
      */
     ImageHueAdjustmentInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default img_hue_adjust 
+       * Type
+       * @default img_hue_adjust
        * @enum {string}
        */
-      type: "img_hue_adjust";
+      type: 'img_hue_adjust';
       /**
-       * Image 
+       * Image
        * @description The image to adjust
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Hue 
-       * @description The degrees by which to rotate the hue, 0-360 
+       * Hue
+       * @description The degrees by which to rotate the hue, 0-360
        * @default 0
        */
       hue?: number;
     };
     /**
-     * Inverse Lerp Image 
+     * Inverse Lerp Image
      * @description Inverse linear interpolation of all pixels of an image
      */
     ImageInverseLerpInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default img_ilerp 
+       * Type
+       * @default img_ilerp
        * @enum {string}
        */
-      type: "img_ilerp";
+      type: 'img_ilerp';
       /**
-       * Image 
+       * Image
        * @description The image to lerp
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Min 
-       * @description The minimum input value 
+       * Min
+       * @description The minimum input value
        * @default 0
        */
       min?: number;
       /**
-       * Max 
-       * @description The maximum input value 
+       * Max
+       * @description The maximum input value
        * @default 255
        */
       max?: number;
     };
     /**
-     * Image Primitive 
+     * Image Primitive
      * @description An image primitive value
      */
     ImageInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default image 
+       * Type
+       * @default image
        * @enum {string}
        */
-      type: "image";
+      type: 'image';
       /**
-       * Image 
+       * Image
        * @description The image to load
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
     };
     /**
-     * Lerp Image 
+     * Lerp Image
      * @description Linear interpolation of all pixels of an image
      */
     ImageLerpInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default img_lerp 
+       * Type
+       * @default img_lerp
        * @enum {string}
        */
-      type: "img_lerp";
+      type: 'img_lerp';
       /**
-       * Image 
+       * Image
        * @description The image to lerp
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Min 
-       * @description The minimum output value 
+       * Min
+       * @description The minimum output value
        * @default 0
        */
       min?: number;
       /**
-       * Max 
-       * @description The maximum output value 
+       * Max
+       * @description The maximum output value
        * @default 255
        */
       max?: number;
     };
     /**
-     * Image Luminosity Adjustment 
+     * Image Luminosity Adjustment
      * @description Adjusts the Luminosity (Value) of an image.
      */
     ImageLuminosityAdjustmentInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default img_luminosity_adjust 
+       * Type
+       * @default img_luminosity_adjust
        * @enum {string}
        */
-      type: "img_luminosity_adjust";
+      type: 'img_luminosity_adjust';
       /**
-       * Image 
+       * Image
        * @description The image to adjust
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Luminosity 
-       * @description The factor by which to adjust the luminosity (value) 
+       * Luminosity
+       * @description The factor by which to adjust the luminosity (value)
        * @default 1
        */
       luminosity?: number;
     };
     /**
-     * ImageMetadata 
+     * ImageMetadata
      * @description An image's generation metadata
      */
     ImageMetadata: {
       /**
-       * Metadata 
+       * Metadata
        * @description The image's core metadata, if it was created in the Linear or Canvas UI
        */
       metadata?: Record<string, never>;
       /**
-       * Graph 
+       * Graph
        * @description The graph that created the image
        */
       graph?: Record<string, never>;
     };
     /**
-     * Multiply Images 
+     * Multiply Images
      * @description Multiplies two images together using `PIL.ImageChops.multiply()`.
      */
     ImageMultiplyInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default img_mul 
+       * Type
+       * @default img_mul
        * @enum {string}
        */
-      type: "img_mul";
+      type: 'img_mul';
       /**
-       * Image1 
+       * Image1
        * @description The first image to multiply
        */
-      image1?: components["schemas"]["ImageField"];
+      image1?: components['schemas']['ImageField'];
       /**
-       * Image2 
+       * Image2
        * @description The second image to multiply
        */
-      image2?: components["schemas"]["ImageField"];
+      image2?: components['schemas']['ImageField'];
     };
     /**
-     * Blur NSFW Image 
+     * Blur NSFW Image
      * @description Add blur to NSFW-flagged images
      */
     ImageNSFWBlurInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default img_nsfw 
+       * Type
+       * @default img_nsfw
        * @enum {string}
        */
-      type: "img_nsfw";
+      type: 'img_nsfw';
       /**
-       * Metadata 
+       * Metadata
        * @description Optional core metadata to be written to image
        */
-      metadata?: components["schemas"]["CoreMetadata"];
+      metadata?: components['schemas']['CoreMetadata'];
       /**
-       * Image 
+       * Image
        * @description The image to check
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
     };
     /**
-     * ImageOutput 
+     * ImageOutput
      * @description Base class for nodes that output a single image
      */
     ImageOutput: {
       /**
-       * Type 
-       * @default image_output 
+       * Type
+       * @default image_output
        * @enum {string}
        */
-      type?: "image_output";
+      type?: 'image_output';
       /**
-       * Image 
+       * Image
        * @description The output image
        */
-      image: components["schemas"]["ImageField"];
+      image: components['schemas']['ImageField'];
       /**
-       * Width 
+       * Width
        * @description The width of the image in pixels
        */
       width: number;
       /**
-       * Height 
+       * Height
        * @description The height of the image in pixels
        */
       height: number;
     };
     /**
-     * Paste Image 
+     * Paste Image
      * @description Pastes an image into another image.
      */
     ImagePasteInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default img_paste 
+       * Type
+       * @default img_paste
        * @enum {string}
        */
-      type: "img_paste";
+      type: 'img_paste';
       /**
-       * Base Image 
+       * Base Image
        * @description The base image
        */
-      base_image?: components["schemas"]["ImageField"];
+      base_image?: components['schemas']['ImageField'];
       /**
-       * Image 
+       * Image
        * @description The image to paste
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Mask 
+       * Mask
        * @description The mask to use when pasting
        */
-      mask?: components["schemas"]["ImageField"];
+      mask?: components['schemas']['ImageField'];
       /**
-       * X 
-       * @description The left x coordinate at which to paste the image 
+       * X
+       * @description The left x coordinate at which to paste the image
        * @default 0
        */
       x?: number;
       /**
-       * Y 
-       * @description The top y coordinate at which to paste the image 
+       * Y
+       * @description The top y coordinate at which to paste the image
        * @default 0
        */
       y?: number;
     };
     /**
-     * ImageProcessorInvocation 
+     * ImageProcessorInvocation
      * @description Base class for invocations that preprocess images for ControlNet
      */
     ImageProcessorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default image_processor 
+       * Type
+       * @default image_processor
        * @enum {string}
        */
-      type: "image_processor";
+      type: 'image_processor';
       /**
-       * Image 
+       * Image
        * @description The image to process
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
     };
     /**
-     * ImageRecordChanges 
+     * ImageRecordChanges
      * @description A set of changes to apply to an image record.
-     * 
+     *
      * Only limited changes are valid:
      *   - `image_category`: change the category of an image
      *   - `session_id`: change the session associated with an image
      *   - `is_intermediate`: change the image's `is_intermediate` flag
+     *   - `pinned`: change whether the image is pinned
      */
     ImageRecordChanges: {
       /** @description The image's new category. */
-      image_category?: components["schemas"]["ImageCategory"];
+      image_category?: components['schemas']['ImageCategory'];
       /**
-       * Session Id 
+       * Session Id
        * @description The image's new session ID.
        */
       session_id?: string;
       /**
-       * Is Intermediate 
+       * Is Intermediate
        * @description The image's new `is_intermediate` flag.
        */
       is_intermediate?: boolean;
+      /**
+       * Pinned
+       * @description The image's new `pinned` state
+       */
+      pinned?: boolean;
     };
     /**
-     * Resize Image 
+     * Resize Image
      * @description Resizes an image to specific dimensions
      */
     ImageResizeInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default img_resize 
+       * Type
+       * @default img_resize
        * @enum {string}
        */
-      type: "img_resize";
+      type: 'img_resize';
       /**
-       * Image 
+       * Image
        * @description The image to resize
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Width 
-       * @description The width to resize to (px) 
+       * Width
+       * @description The width to resize to (px)
        * @default 512
        */
       width?: number;
       /**
-       * Height 
-       * @description The height to resize to (px) 
+       * Height
+       * @description The height to resize to (px)
        * @default 512
        */
       height?: number;
       /**
-       * Resample Mode 
-       * @description The resampling mode 
-       * @default bicubic 
+       * Resample Mode
+       * @description The resampling mode
+       * @default bicubic
        * @enum {string}
        */
-      resample_mode?: "nearest" | "box" | "bilinear" | "hamming" | "bicubic" | "lanczos";
+      resample_mode?:
+        | 'nearest'
+        | 'box'
+        | 'bilinear'
+        | 'hamming'
+        | 'bicubic'
+        | 'lanczos';
     };
     /**
-     * Image Saturation Adjustment 
+     * Image Saturation Adjustment
      * @description Adjusts the Saturation of an image.
      */
     ImageSaturationAdjustmentInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default img_saturation_adjust 
+       * Type
+       * @default img_saturation_adjust
        * @enum {string}
        */
-      type: "img_saturation_adjust";
+      type: 'img_saturation_adjust';
       /**
-       * Image 
+       * Image
        * @description The image to adjust
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Saturation 
-       * @description The factor by which to adjust the saturation 
+       * Saturation
+       * @description The factor by which to adjust the saturation
        * @default 1
        */
       saturation?: number;
     };
     /**
-     * Scale Image 
+     * Scale Image
      * @description Scales an image by a factor
      */
     ImageScaleInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default img_scale 
+       * Type
+       * @default img_scale
        * @enum {string}
        */
-      type: "img_scale";
+      type: 'img_scale';
       /**
-       * Image 
+       * Image
        * @description The image to scale
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Scale Factor 
-       * @description The factor by which to scale the image 
+       * Scale Factor
+       * @description The factor by which to scale the image
        * @default 2
        */
       scale_factor?: number;
       /**
-       * Resample Mode 
-       * @description The resampling mode 
-       * @default bicubic 
+       * Resample Mode
+       * @description The resampling mode
+       * @default bicubic
        * @enum {string}
        */
-      resample_mode?: "nearest" | "box" | "bilinear" | "hamming" | "bicubic" | "lanczos";
+      resample_mode?:
+        | 'nearest'
+        | 'box'
+        | 'bilinear'
+        | 'hamming'
+        | 'bicubic'
+        | 'lanczos';
     };
     /**
-     * Image to Latents 
+     * Image to Latents
      * @description Encodes an image into latents.
      */
     ImageToLatentsInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default i2l 
+       * Type
+       * @default i2l
        * @enum {string}
        */
-      type: "i2l";
+      type: 'i2l';
       /**
-       * Image 
+       * Image
        * @description The image to encode
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Vae 
+       * Vae
        * @description VAE
        */
-      vae?: components["schemas"]["VaeField"];
+      vae?: components['schemas']['VaeField'];
       /**
-       * Tiled 
-       * @description Processing using overlapping tiles (reduce memory consumption) 
+       * Tiled
+       * @description Processing using overlapping tiles (reduce memory consumption)
        * @default false
        */
       tiled?: boolean;
       /**
-       * Fp32 
-       * @description Whether or not to use full float32 precision 
+       * Fp32
+       * @description Whether or not to use full float32 precision
        * @default false
        */
       fp32?: boolean;
     };
     /**
-     * ImageUrlsDTO 
+     * ImageUrlsDTO
      * @description The URLs for an image and its thumbnail.
      */
     ImageUrlsDTO: {
       /**
-       * Image Name 
+       * Image Name
        * @description The unique name of the image.
        */
       image_name: string;
       /**
-       * Image Url 
+       * Image Url
        * @description The URL of the image.
        */
       image_url: string;
       /**
-       * Thumbnail Url 
+       * Thumbnail Url
        * @description The URL of the image's thumbnail.
        */
       thumbnail_url: string;
     };
     /**
-     * Add Invisible Watermark 
+     * Add Invisible Watermark
      * @description Add an invisible watermark to an image
      */
     ImageWatermarkInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default img_watermark 
+       * Type
+       * @default img_watermark
        * @enum {string}
        */
-      type: "img_watermark";
+      type: 'img_watermark';
       /**
-       * Image 
+       * Image
        * @description The image to check
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Text 
-       * @description Watermark text 
+       * Text
+       * @description Watermark text
        * @default InvokeAI
        */
       text?: string;
       /**
-       * Metadata 
+       * Metadata
        * @description Optional core metadata to be written to image
        */
-      metadata?: components["schemas"]["CoreMetadata"];
+      metadata?: components['schemas']['CoreMetadata'];
     };
     /**
-     * Solid Color Infill 
+     * Solid Color Infill
      * @description Infills transparent areas of an image with a solid color
      */
     InfillColorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default infill_rgba 
+       * Type
+       * @default infill_rgba
        * @enum {string}
        */
-      type: "infill_rgba";
+      type: 'infill_rgba';
       /**
-       * Image 
+       * Image
        * @description The image to infill
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Color 
-       * @description The color to use to infill 
+       * Color
+       * @description The color to use to infill
        * @default {
        *   "r": 127,
        *   "g": 127,
@@ -3000,541 +3196,541 @@ export type components = {
        *   "a": 255
        * }
        */
-      color?: components["schemas"]["ColorField"];
+      color?: components['schemas']['ColorField'];
     };
     /**
-     * PatchMatch Infill 
+     * PatchMatch Infill
      * @description Infills transparent areas of an image using the PatchMatch algorithm
      */
     InfillPatchMatchInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default infill_patchmatch 
+       * Type
+       * @default infill_patchmatch
        * @enum {string}
        */
-      type: "infill_patchmatch";
+      type: 'infill_patchmatch';
       /**
-       * Image 
+       * Image
        * @description The image to infill
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
     };
     /**
-     * Tile Infill 
+     * Tile Infill
      * @description Infills transparent areas of an image with tiles of the image
      */
     InfillTileInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default infill_tile 
+       * Type
+       * @default infill_tile
        * @enum {string}
        */
-      type: "infill_tile";
+      type: 'infill_tile';
       /**
-       * Image 
+       * Image
        * @description The image to infill
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Tile Size 
-       * @description The tile size (px) 
+       * Tile Size
+       * @description The tile size (px)
        * @default 32
        */
       tile_size?: number;
       /**
-       * Seed 
+       * Seed
        * @description The seed to use for tile generation (omit for random)
        */
       seed?: number;
     };
     /**
-     * Integer Collection 
+     * Integer Collection
      * @description A collection of integer primitive values
      */
     IntegerCollectionInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default integer_collection 
+       * Type
+       * @default integer_collection
        * @enum {string}
        */
-      type: "integer_collection";
+      type: 'integer_collection';
       /**
-       * Collection 
-       * @description The collection of integer values 
+       * Collection
+       * @description The collection of integer values
        * @default 0
        */
-      collection?: (number)[];
+      collection?: number[];
     };
     /**
-     * IntegerCollectionOutput 
+     * IntegerCollectionOutput
      * @description Base class for nodes that output a collection of integers
      */
     IntegerCollectionOutput: {
       /**
-       * Type 
-       * @default integer_collection_output 
+       * Type
+       * @default integer_collection_output
        * @enum {string}
        */
-      type?: "integer_collection_output";
+      type?: 'integer_collection_output';
       /**
-       * Collection 
+       * Collection
        * @description The int collection
        */
-      collection?: (number)[];
+      collection?: number[];
     };
     /**
-     * Integer 
+     * Integer
      * @description An integer primitive value
      */
     IntegerInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default integer 
+       * Type
+       * @default integer
        * @enum {string}
        */
-      type: "integer";
+      type: 'integer';
       /**
-       * A 
-       * @description The integer value 
+       * A
+       * @description The integer value
        * @default 0
        */
       a?: number;
     };
     /**
-     * IntegerOutput 
+     * IntegerOutput
      * @description Base class for nodes that output a single integer
      */
     IntegerOutput: {
       /**
-       * Type 
-       * @default integer_output 
+       * Type
+       * @default integer_output
        * @enum {string}
        */
-      type?: "integer_output";
+      type?: 'integer_output';
       /**
-       * A 
+       * A
        * @description The output integer
        */
       a: number;
     };
     /**
-     * IterateInvocation 
+     * IterateInvocation
      * @description Iterates over a list of items
      */
     IterateInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default iterate 
+       * Type
+       * @default iterate
        * @enum {string}
        */
-      type: "iterate";
+      type: 'iterate';
       /**
-       * Collection 
+       * Collection
        * @description The list of items to iterate over
        */
-      collection?: (unknown)[];
+      collection?: unknown[];
       /**
-       * Index 
-       * @description The index, will be provided on executed iterators 
+       * Index
+       * @description The index, will be provided on executed iterators
        * @default 0
        */
       index?: number;
     };
     /**
-     * IterateInvocationOutput 
+     * IterateInvocationOutput
      * @description Used to connect iteration outputs. Will be expanded to a specific output.
      */
     IterateInvocationOutput: {
       /**
-       * Type 
-       * @default iterate_output 
+       * Type
+       * @default iterate_output
        * @enum {string}
        */
-      type?: "iterate_output";
+      type?: 'iterate_output';
       /**
-       * Collection Item 
+       * Collection Item
        * @description The item being iterated over
        */
       item?: unknown;
     };
     /**
-     * Latents Collection 
+     * Latents Collection
      * @description A collection of latents tensor primitive values
      */
     LatentsCollectionInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default latents_collection 
+       * Type
+       * @default latents_collection
        * @enum {string}
        */
-      type: "latents_collection";
+      type: 'latents_collection';
       /**
-       * Collection 
-       * @description The collection of latents tensors 
+       * Collection
+       * @description The collection of latents tensors
        * @default 0
        */
-      collection?: (components["schemas"]["LatentsField"])[];
+      collection?: components['schemas']['LatentsField'][];
     };
     /**
-     * LatentsCollectionOutput 
+     * LatentsCollectionOutput
      * @description Base class for nodes that output a collection of latents tensors
      */
     LatentsCollectionOutput: {
       /**
-       * Type 
-       * @default latents_collection_output 
+       * Type
+       * @default latents_collection_output
        * @enum {string}
        */
-      type?: "latents_collection_output";
+      type?: 'latents_collection_output';
       /**
-       * Collection 
+       * Collection
        * @description Latents tensor
        */
-      collection?: (components["schemas"]["LatentsField"])[];
+      collection?: components['schemas']['LatentsField'][];
     };
     /**
-     * LatentsField 
+     * LatentsField
      * @description A latents tensor primitive field
      */
     LatentsField: {
       /**
-       * Latents Name 
+       * Latents Name
        * @description The name of the latents
        */
       latents_name: string;
       /**
-       * Seed 
+       * Seed
        * @description Seed used to generate this latents
        */
       seed?: number;
     };
     /**
-     * Latents Primitive 
+     * Latents Primitive
      * @description A latents tensor primitive value
      */
     LatentsInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default latents 
+       * Type
+       * @default latents
        * @enum {string}
        */
-      type: "latents";
+      type: 'latents';
       /**
-       * Latents 
+       * Latents
        * @description The latents tensor
        */
-      latents?: components["schemas"]["LatentsField"];
+      latents?: components['schemas']['LatentsField'];
     };
     /**
-     * LatentsOutput 
+     * LatentsOutput
      * @description Base class for nodes that output a single latents tensor
      */
     LatentsOutput: {
       /**
-       * Type 
-       * @default latents_output 
+       * Type
+       * @default latents_output
        * @enum {string}
        */
-      type?: "latents_output";
+      type?: 'latents_output';
       /**
-       * Latents 
+       * Latents
        * @description Latents tensor
        */
-      latents: components["schemas"]["LatentsField"];
+      latents: components['schemas']['LatentsField'];
       /**
-       * Width 
+       * Width
        * @description Width of output (px)
        */
       width: number;
       /**
-       * Height 
+       * Height
        * @description Height of output (px)
        */
       height: number;
     };
     /**
-     * Latents to Image 
+     * Latents to Image
      * @description Generates an image from latents.
      */
     LatentsToImageInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default l2i 
+       * Type
+       * @default l2i
        * @enum {string}
        */
-      type: "l2i";
+      type: 'l2i';
       /**
-       * Tiled 
-       * @description Processing using overlapping tiles (reduce memory consumption) 
+       * Tiled
+       * @description Processing using overlapping tiles (reduce memory consumption)
        * @default false
        */
       tiled?: boolean;
       /**
-       * Fp32 
-       * @description Whether or not to use full float32 precision 
+       * Fp32
+       * @description Whether or not to use full float32 precision
        * @default false
        */
       fp32?: boolean;
       /**
-       * Metadata 
+       * Metadata
        * @description Optional core metadata to be written to image
        */
-      metadata?: components["schemas"]["CoreMetadata"];
+      metadata?: components['schemas']['CoreMetadata'];
       /**
-       * Latents 
+       * Latents
        * @description Latents tensor
        */
-      latents?: components["schemas"]["LatentsField"];
+      latents?: components['schemas']['LatentsField'];
       /**
-       * Vae 
+       * Vae
        * @description VAE
        */
-      vae?: components["schemas"]["VaeField"];
+      vae?: components['schemas']['VaeField'];
     };
     /**
-     * Leres (Depth) Processor 
+     * Leres (Depth) Processor
      * @description Applies leres processing to image
      */
     LeresImageProcessorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default leres_image_processor 
+       * Type
+       * @default leres_image_processor
        * @enum {string}
        */
-      type: "leres_image_processor";
+      type: 'leres_image_processor';
       /**
-       * Image 
+       * Image
        * @description The image to process
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Thr A 
-       * @description Leres parameter `thr_a` 
+       * Thr A
+       * @description Leres parameter `thr_a`
        * @default 0
        */
       thr_a?: number;
       /**
-       * Thr B 
-       * @description Leres parameter `thr_b` 
+       * Thr B
+       * @description Leres parameter `thr_b`
        * @default 0
        */
       thr_b?: number;
       /**
-       * Boost 
-       * @description Whether to use boost mode 
+       * Boost
+       * @description Whether to use boost mode
        * @default false
        */
       boost?: boolean;
       /**
-       * Detect Resolution 
-       * @description Pixel resolution for detection 
+       * Detect Resolution
+       * @description Pixel resolution for detection
        * @default 512
        */
       detect_resolution?: number;
       /**
-       * Image Resolution 
-       * @description Pixel resolution for output image 
+       * Image Resolution
+       * @description Pixel resolution for output image
        * @default 512
        */
       image_resolution?: number;
     };
     /**
-     * Lineart Anime Processor 
+     * Lineart Anime Processor
      * @description Applies line art anime processing to image
      */
     LineartAnimeImageProcessorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default lineart_anime_image_processor 
+       * Type
+       * @default lineart_anime_image_processor
        * @enum {string}
        */
-      type: "lineart_anime_image_processor";
+      type: 'lineart_anime_image_processor';
       /**
-       * Image 
+       * Image
        * @description The image to process
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Detect Resolution 
-       * @description Pixel resolution for detection 
+       * Detect Resolution
+       * @description Pixel resolution for detection
        * @default 512
        */
       detect_resolution?: number;
       /**
-       * Image Resolution 
-       * @description Pixel resolution for output image 
+       * Image Resolution
+       * @description Pixel resolution for output image
        * @default 512
        */
       image_resolution?: number;
     };
     /**
-     * Lineart Processor 
+     * Lineart Processor
      * @description Applies line art processing to image
      */
     LineartImageProcessorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default lineart_image_processor 
+       * Type
+       * @default lineart_image_processor
        * @enum {string}
        */
-      type: "lineart_image_processor";
+      type: 'lineart_image_processor';
       /**
-       * Image 
+       * Image
        * @description The image to process
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Detect Resolution 
-       * @description Pixel resolution for detection 
+       * Detect Resolution
+       * @description Pixel resolution for detection
        * @default 512
        */
       detect_resolution?: number;
       /**
-       * Image Resolution 
-       * @description Pixel resolution for output image 
+       * Image Resolution
+       * @description Pixel resolution for output image
        * @default 512
        */
       image_resolution?: number;
       /**
-       * Coarse 
-       * @description Whether to use coarse mode 
+       * Coarse
+       * @description Whether to use coarse mode
        * @default false
        */
       coarse?: boolean;
     };
     /**
-     * LoRAMetadataField 
+     * LoRAMetadataField
      * @description LoRA metadata for an image generated in InvokeAI.
      */
     LoRAMetadataField: {
       /**
-       * Lora 
+       * Lora
        * @description The LoRA model
        */
-      lora: components["schemas"]["LoRAModelField"];
+      lora: components['schemas']['LoRAModelField'];
       /**
-       * Weight 
+       * Weight
        * @description The weight of the LoRA model
        */
       weight: number;
@@ -3543,1466 +3739,1520 @@ export type components = {
     LoRAModelConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
       /**
-       * Model Type 
+       * Model Type
        * @enum {string}
        */
-      model_type: "lora";
+      model_type: 'lora';
       /** Path */
       path: string;
       /** Description */
       description?: string;
-      model_format: components["schemas"]["LoRAModelFormat"];
-      error?: components["schemas"]["ModelError"];
+      model_format: components['schemas']['LoRAModelFormat'];
+      error?: components['schemas']['ModelError'];
     };
     /**
-     * LoRAModelField 
+     * LoRAModelField
      * @description LoRA model field
      */
     LoRAModelField: {
       /**
-       * Model Name 
+       * Model Name
        * @description Name of the LoRA model
        */
       model_name: string;
       /** @description Base model */
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
     };
     /**
-     * LoRAModelFormat 
-     * @description An enumeration. 
+     * LoRAModelFormat
+     * @description An enumeration.
      * @enum {string}
      */
-    LoRAModelFormat: "lycoris" | "diffusers";
+    LoRAModelFormat: 'lycoris' | 'diffusers';
     /**
-     * LogLevel 
-     * @description An enumeration. 
+     * LogLevel
+     * @description An enumeration.
      * @enum {integer}
      */
     LogLevel: 0 | 10 | 20 | 30 | 40 | 50;
     /** LoraInfo */
     LoraInfo: {
       /**
-       * Model Name 
+       * Model Name
        * @description Info to load submodel
        */
       model_name: string;
       /** @description Base model */
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
       /** @description Info to load submodel */
-      model_type: components["schemas"]["ModelType"];
+      model_type: components['schemas']['ModelType'];
       /** @description Info to load submodel */
-      submodel?: components["schemas"]["SubModelType"];
+      submodel?: components['schemas']['SubModelType'];
       /**
-       * Weight 
+       * Weight
        * @description Lora's weight which to use when apply to model
        */
       weight: number;
     };
     /**
-     * LoRA Loader 
+     * LoRA Loader
      * @description Apply selected lora to unet and text_encoder.
      */
     LoraLoaderInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default lora_loader 
+       * Type
+       * @default lora_loader
        * @enum {string}
        */
-      type: "lora_loader";
+      type: 'lora_loader';
       /**
-       * LoRA 
+       * LoRA
        * @description LoRA model to load
        */
-      lora: components["schemas"]["LoRAModelField"];
+      lora: components['schemas']['LoRAModelField'];
       /**
-       * Weight 
-       * @description The weight at which the LoRA is applied to each model 
+       * Weight
+       * @description The weight at which the LoRA is applied to each model
        * @default 0.75
        */
       weight?: number;
       /**
-       * UNet 
+       * UNet
        * @description UNet (scheduler, LoRAs)
        */
-      unet?: components["schemas"]["UNetField"];
+      unet?: components['schemas']['UNetField'];
       /**
-       * CLIP 
+       * CLIP
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components["schemas"]["ClipField"];
+      clip?: components['schemas']['ClipField'];
     };
     /**
-     * LoraLoaderOutput 
+     * LoraLoaderOutput
      * @description Model loader output
      */
     LoraLoaderOutput: {
       /**
-       * Type 
-       * @default lora_loader_output 
+       * Type
+       * @default lora_loader_output
        * @enum {string}
        */
-      type?: "lora_loader_output";
+      type?: 'lora_loader_output';
       /**
-       * UNet 
+       * UNet
        * @description UNet (scheduler, LoRAs)
        */
-      unet?: components["schemas"]["UNetField"];
+      unet?: components['schemas']['UNetField'];
       /**
-       * CLIP 
+       * CLIP
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components["schemas"]["ClipField"];
+      clip?: components['schemas']['ClipField'];
     };
     /**
-     * MainModelField 
+     * MainModelField
      * @description Main model field
      */
     MainModelField: {
       /**
-       * Model Name 
+       * Model Name
        * @description Name of the model
        */
       model_name: string;
       /** @description Base model */
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
       /** @description Model Type */
-      model_type: components["schemas"]["ModelType"];
+      model_type: components['schemas']['ModelType'];
     };
     /**
-     * Main Model Loader 
+     * Main Model Loader
      * @description Loads a main model, outputting its submodels.
      */
     MainModelLoaderInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default main_model_loader 
+       * Type
+       * @default main_model_loader
        * @enum {string}
        */
-      type: "main_model_loader";
+      type: 'main_model_loader';
       /**
-       * Model 
+       * Model
        * @description Main model (UNet, VAE, CLIP) to load
        */
-      model: components["schemas"]["MainModelField"];
+      model: components['schemas']['MainModelField'];
     };
     /**
-     * Combine Mask 
+     * Combine Mask
      * @description Combine two masks together by multiplying them using `PIL.ImageChops.multiply()`.
      */
     MaskCombineInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default mask_combine 
+       * Type
+       * @default mask_combine
        * @enum {string}
        */
-      type: "mask_combine";
+      type: 'mask_combine';
       /**
-       * Mask1 
+       * Mask1
        * @description The first mask to combine
        */
-      mask1?: components["schemas"]["ImageField"];
+      mask1?: components['schemas']['ImageField'];
       /**
-       * Mask2 
+       * Mask2
        * @description The second image to combine
        */
-      mask2?: components["schemas"]["ImageField"];
+      mask2?: components['schemas']['ImageField'];
     };
     /**
-     * Mask Edge 
+     * Mask Edge
      * @description Applies an edge mask to an image
      */
     MaskEdgeInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default mask_edge 
+       * Type
+       * @default mask_edge
        * @enum {string}
        */
-      type: "mask_edge";
+      type: 'mask_edge';
       /**
-       * Image 
+       * Image
        * @description The image to apply the mask to
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Edge Size 
+       * Edge Size
        * @description The size of the edge
        */
       edge_size?: number;
       /**
-       * Edge Blur 
+       * Edge Blur
        * @description The amount of blur on the edge
        */
       edge_blur?: number;
       /**
-       * Low Threshold 
+       * Low Threshold
        * @description First threshold for the hysteresis procedure in Canny edge detection
        */
       low_threshold?: number;
       /**
-       * High Threshold 
+       * High Threshold
        * @description Second threshold for the hysteresis procedure in Canny edge detection
        */
       high_threshold?: number;
     };
     /**
-     * Mask from Alpha 
+     * Mask from Alpha
      * @description Extracts the alpha channel of an image as a mask.
      */
     MaskFromAlphaInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default tomask 
+       * Type
+       * @default tomask
        * @enum {string}
        */
-      type: "tomask";
+      type: 'tomask';
       /**
-       * Image 
+       * Image
        * @description The image to create the mask from
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Invert 
-       * @description Whether or not to invert the mask 
+       * Invert
+       * @description Whether or not to invert the mask
        * @default false
        */
       invert?: boolean;
     };
     /**
-     * Mediapipe Face Processor 
+     * Mediapipe Face Processor
      * @description Applies mediapipe face processing to image
      */
     MediapipeFaceProcessorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default mediapipe_face_processor 
+       * Type
+       * @default mediapipe_face_processor
        * @enum {string}
        */
-      type: "mediapipe_face_processor";
+      type: 'mediapipe_face_processor';
       /**
-       * Image 
+       * Image
        * @description The image to process
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Max Faces 
-       * @description Maximum number of faces to detect 
+       * Max Faces
+       * @description Maximum number of faces to detect
        * @default 1
        */
       max_faces?: number;
       /**
-       * Min Confidence 
-       * @description Minimum confidence for face detection 
+       * Min Confidence
+       * @description Minimum confidence for face detection
        * @default 0.5
        */
       min_confidence?: number;
     };
     /**
-     * MergeInterpolationMethod 
-     * @description An enumeration. 
+     * MergeInterpolationMethod
+     * @description An enumeration.
      * @enum {string}
      */
-    MergeInterpolationMethod: "weighted_sum" | "sigmoid" | "inv_sigmoid" | "add_difference";
+    MergeInterpolationMethod:
+      | 'weighted_sum'
+      | 'sigmoid'
+      | 'inv_sigmoid'
+      | 'add_difference';
     /**
-     * Metadata Accumulator 
+     * Metadata Accumulator
      * @description Outputs a Core Metadata Object
      */
     MetadataAccumulatorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default metadata_accumulator 
+       * Type
+       * @default metadata_accumulator
        * @enum {string}
        */
-      type: "metadata_accumulator";
+      type: 'metadata_accumulator';
       /**
-       * Generation Mode 
+       * Generation Mode
        * @description The generation mode that output this image
        */
       generation_mode?: string;
       /**
-       * Positive Prompt 
+       * Positive Prompt
        * @description The positive prompt parameter
        */
       positive_prompt?: string;
       /**
-       * Negative Prompt 
+       * Negative Prompt
        * @description The negative prompt parameter
        */
       negative_prompt?: string;
       /**
-       * Width 
+       * Width
        * @description The width parameter
        */
       width?: number;
       /**
-       * Height 
+       * Height
        * @description The height parameter
        */
       height?: number;
       /**
-       * Seed 
+       * Seed
        * @description The seed used for noise generation
        */
       seed?: number;
       /**
-       * Rand Device 
+       * Rand Device
        * @description The device used for random number generation
        */
       rand_device?: string;
       /**
-       * Cfg Scale 
+       * Cfg Scale
        * @description The classifier-free guidance scale parameter
        */
       cfg_scale?: number;
       /**
-       * Steps 
+       * Steps
        * @description The number of steps used for inference
        */
       steps?: number;
       /**
-       * Scheduler 
+       * Scheduler
        * @description The scheduler used for inference
        */
       scheduler?: string;
       /**
-       * Clip Skip 
+       * Clip Skip
        * @description The number of skipped CLIP layers
        */
       clip_skip?: number;
       /**
-       * Model 
+       * Model
        * @description The main model used for inference
        */
-      model?: components["schemas"]["MainModelField"];
+      model?: components['schemas']['MainModelField'];
       /**
-       * Controlnets 
+       * Controlnets
        * @description The ControlNets used for inference
        */
-      controlnets?: (components["schemas"]["ControlField"])[];
+      controlnets?: components['schemas']['ControlField'][];
       /**
-       * Loras 
+       * Loras
        * @description The LoRAs used for inference
        */
-      loras?: (components["schemas"]["LoRAMetadataField"])[];
+      loras?: components['schemas']['LoRAMetadataField'][];
       /**
-       * Strength 
+       * Strength
        * @description The strength used for latents-to-latents
        */
       strength?: number;
       /**
-       * Init Image 
+       * Init Image
        * @description The name of the initial image
        */
       init_image?: string;
       /**
-       * Vae 
+       * Vae
        * @description The VAE used for decoding, if the main model's default was not used
        */
-      vae?: components["schemas"]["VAEModelField"];
+      vae?: components['schemas']['VAEModelField'];
       /**
-       * Positive Style Prompt 
+       * Positive Style Prompt
        * @description The positive style prompt parameter
        */
       positive_style_prompt?: string;
       /**
-       * Negative Style Prompt 
+       * Negative Style Prompt
        * @description The negative style prompt parameter
        */
       negative_style_prompt?: string;
       /**
-       * Refiner Model 
+       * Refiner Model
        * @description The SDXL Refiner model used
        */
-      refiner_model?: components["schemas"]["MainModelField"];
+      refiner_model?: components['schemas']['MainModelField'];
       /**
-       * Refiner Cfg Scale 
+       * Refiner Cfg Scale
        * @description The classifier-free guidance scale parameter used for the refiner
        */
       refiner_cfg_scale?: number;
       /**
-       * Refiner Steps 
+       * Refiner Steps
        * @description The number of steps used for the refiner
        */
       refiner_steps?: number;
       /**
-       * Refiner Scheduler 
+       * Refiner Scheduler
        * @description The scheduler used for the refiner
        */
       refiner_scheduler?: string;
       /**
-       * Refiner Positive Aesthetic Store 
+       * Refiner Positive Aesthetic Store
        * @description The aesthetic score used for the refiner
        */
       refiner_positive_aesthetic_store?: number;
       /**
-       * Refiner Negative Aesthetic Store 
+       * Refiner Negative Aesthetic Store
        * @description The aesthetic score used for the refiner
        */
       refiner_negative_aesthetic_store?: number;
       /**
-       * Refiner Start 
+       * Refiner Start
        * @description The start value used for refiner denoising
        */
       refiner_start?: number;
     };
     /**
-     * MetadataAccumulatorOutput 
+     * MetadataAccumulatorOutput
      * @description The output of the MetadataAccumulator node
      */
     MetadataAccumulatorOutput: {
       /**
-       * Type 
-       * @default metadata_accumulator_output 
+       * Type
+       * @default metadata_accumulator_output
        * @enum {string}
        */
-      type?: "metadata_accumulator_output";
+      type?: 'metadata_accumulator_output';
       /**
-       * Metadata 
+       * Metadata
        * @description The core metadata for the image
        */
-      metadata: components["schemas"]["CoreMetadata"];
+      metadata: components['schemas']['CoreMetadata'];
     };
     /**
-     * Midas (Depth) Processor 
+     * Midas (Depth) Processor
      * @description Applies Midas depth processing to image
      */
     MidasDepthImageProcessorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default midas_depth_image_processor 
+       * Type
+       * @default midas_depth_image_processor
        * @enum {string}
        */
-      type: "midas_depth_image_processor";
+      type: 'midas_depth_image_processor';
       /**
-       * Image 
+       * Image
        * @description The image to process
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * A Mult 
-       * @description Midas parameter `a_mult` (a = a_mult * PI) 
+       * A Mult
+       * @description Midas parameter `a_mult` (a = a_mult * PI)
        * @default 2
        */
       a_mult?: number;
       /**
-       * Bg Th 
-       * @description Midas parameter `bg_th` 
+       * Bg Th
+       * @description Midas parameter `bg_th`
        * @default 0.1
        */
       bg_th?: number;
     };
     /**
-     * MLSD Processor 
+     * MLSD Processor
      * @description Applies MLSD processing to image
      */
     MlsdImageProcessorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default mlsd_image_processor 
+       * Type
+       * @default mlsd_image_processor
        * @enum {string}
        */
-      type: "mlsd_image_processor";
+      type: 'mlsd_image_processor';
       /**
-       * Image 
+       * Image
        * @description The image to process
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Detect Resolution 
-       * @description Pixel resolution for detection 
+       * Detect Resolution
+       * @description Pixel resolution for detection
        * @default 512
        */
       detect_resolution?: number;
       /**
-       * Image Resolution 
-       * @description Pixel resolution for output image 
+       * Image Resolution
+       * @description Pixel resolution for output image
        * @default 512
        */
       image_resolution?: number;
       /**
-       * Thr V 
-       * @description MLSD parameter `thr_v` 
+       * Thr V
+       * @description MLSD parameter `thr_v`
        * @default 0.1
        */
       thr_v?: number;
       /**
-       * Thr D 
-       * @description MLSD parameter `thr_d` 
+       * Thr D
+       * @description MLSD parameter `thr_d`
        * @default 0.1
        */
       thr_d?: number;
     };
     /**
-     * ModelError 
-     * @description An enumeration. 
+     * ModelError
+     * @description An enumeration.
      * @enum {string}
      */
-    ModelError: "not_found";
+    ModelError: 'not_found';
     /** ModelInfo */
     ModelInfo: {
       /**
-       * Model Name 
+       * Model Name
        * @description Info to load submodel
        */
       model_name: string;
       /** @description Base model */
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
       /** @description Info to load submodel */
-      model_type: components["schemas"]["ModelType"];
+      model_type: components['schemas']['ModelType'];
       /** @description Info to load submodel */
-      submodel?: components["schemas"]["SubModelType"];
+      submodel?: components['schemas']['SubModelType'];
     };
     /**
-     * ModelLoaderOutput 
+     * ModelLoaderOutput
      * @description Model loader output
      */
     ModelLoaderOutput: {
       /**
-       * Type 
-       * @default model_loader_output 
+       * Type
+       * @default model_loader_output
        * @enum {string}
        */
-      type?: "model_loader_output";
+      type?: 'model_loader_output';
       /**
-       * UNet 
+       * UNet
        * @description UNet (scheduler, LoRAs)
        */
-      unet: components["schemas"]["UNetField"];
+      unet: components['schemas']['UNetField'];
       /**
-       * CLIP 
+       * CLIP
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip: components["schemas"]["ClipField"];
+      clip: components['schemas']['ClipField'];
       /**
-       * VAE 
+       * VAE
        * @description VAE
        */
-      vae: components["schemas"]["VaeField"];
+      vae: components['schemas']['VaeField'];
     };
     /**
-     * ModelType 
-     * @description An enumeration. 
+     * ModelType
+     * @description An enumeration.
      * @enum {string}
      */
-    ModelType: "onnx" | "main" | "vae" | "lora" | "controlnet" | "embedding";
+    ModelType: 'onnx' | 'main' | 'vae' | 'lora' | 'controlnet' | 'embedding';
     /**
-     * ModelVariantType 
-     * @description An enumeration. 
+     * ModelVariantType
+     * @description An enumeration.
      * @enum {string}
      */
-    ModelVariantType: "normal" | "inpaint" | "depth";
+    ModelVariantType: 'normal' | 'inpaint' | 'depth';
     /** ModelsList */
     ModelsList: {
       /** Models */
-      models: (components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[];
+      models: (
+        | components['schemas']['ONNXStableDiffusion1ModelConfig']
+        | components['schemas']['StableDiffusion1ModelCheckpointConfig']
+        | components['schemas']['StableDiffusion1ModelDiffusersConfig']
+        | components['schemas']['VaeModelConfig']
+        | components['schemas']['LoRAModelConfig']
+        | components['schemas']['ControlNetModelCheckpointConfig']
+        | components['schemas']['ControlNetModelDiffusersConfig']
+        | components['schemas']['TextualInversionModelConfig']
+        | components['schemas']['ONNXStableDiffusion2ModelConfig']
+        | components['schemas']['StableDiffusion2ModelCheckpointConfig']
+        | components['schemas']['StableDiffusion2ModelDiffusersConfig']
+        | components['schemas']['StableDiffusionXLModelCheckpointConfig']
+        | components['schemas']['StableDiffusionXLModelDiffusersConfig']
+      )[];
     };
     /**
-     * Multiply Integers 
+     * Multiply Integers
      * @description Multiplies two numbers
      */
     MultiplyInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default mul 
+       * Type
+       * @default mul
        * @enum {string}
        */
-      type: "mul";
+      type: 'mul';
       /**
-       * A 
-       * @description The first number 
+       * A
+       * @description The first number
        * @default 0
        */
       a?: number;
       /**
-       * B 
-       * @description The second number 
+       * B
+       * @description The second number
        * @default 0
        */
       b?: number;
     };
     /**
-     * Noise 
+     * Noise
      * @description Generates latent noise.
      */
     NoiseInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default noise 
+       * Type
+       * @default noise
        * @enum {string}
        */
-      type: "noise";
+      type: 'noise';
       /**
-       * Seed 
+       * Seed
        * @description Seed for random number generation
        */
       seed?: number;
       /**
-       * Width 
-       * @description Width of output (px) 
+       * Width
+       * @description Width of output (px)
        * @default 512
        */
       width?: number;
       /**
-       * Height 
-       * @description Height of output (px) 
+       * Height
+       * @description Height of output (px)
        * @default 512
        */
       height?: number;
       /**
-       * Use Cpu 
-       * @description Use CPU for noise generation (for reproducible results across platforms) 
+       * Use Cpu
+       * @description Use CPU for noise generation (for reproducible results across platforms)
        * @default true
        */
       use_cpu?: boolean;
     };
     /**
-     * NoiseOutput 
+     * NoiseOutput
      * @description Invocation noise output
      */
     NoiseOutput: {
       /**
-       * Type 
-       * @default noise_output 
+       * Type
+       * @default noise_output
        * @enum {string}
        */
-      type?: "noise_output";
+      type?: 'noise_output';
       /**
-       * Noise 
+       * Noise
        * @description Noise tensor
        */
-      noise?: components["schemas"]["LatentsField"];
+      noise?: components['schemas']['LatentsField'];
       /**
-       * Width 
+       * Width
        * @description Width of output (px)
        */
       width: number;
       /**
-       * Height 
+       * Height
        * @description Height of output (px)
        */
       height: number;
     };
     /**
-     * Normal BAE Processor 
+     * Normal BAE Processor
      * @description Applies NormalBae processing to image
      */
     NormalbaeImageProcessorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default normalbae_image_processor 
+       * Type
+       * @default normalbae_image_processor
        * @enum {string}
        */
-      type: "normalbae_image_processor";
+      type: 'normalbae_image_processor';
       /**
-       * Image 
+       * Image
        * @description The image to process
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Detect Resolution 
-       * @description Pixel resolution for detection 
+       * Detect Resolution
+       * @description Pixel resolution for detection
        * @default 512
        */
       detect_resolution?: number;
       /**
-       * Image Resolution 
-       * @description Pixel resolution for output image 
+       * Image Resolution
+       * @description Pixel resolution for output image
        * @default 512
        */
       image_resolution?: number;
     };
     /**
-     * ONNX Latents to Image 
+     * ONNX Latents to Image
      * @description Generates an image from latents.
      */
     ONNXLatentsToImageInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default l2i_onnx 
+       * Type
+       * @default l2i_onnx
        * @enum {string}
        */
-      type: "l2i_onnx";
+      type: 'l2i_onnx';
       /**
-       * Latents 
+       * Latents
        * @description Denoised latents tensor
        */
-      latents?: components["schemas"]["LatentsField"];
+      latents?: components['schemas']['LatentsField'];
       /**
-       * Vae 
+       * Vae
        * @description VAE
        */
-      vae?: components["schemas"]["VaeField"];
+      vae?: components['schemas']['VaeField'];
       /**
-       * Metadata 
+       * Metadata
        * @description Optional core metadata to be written to image
        */
-      metadata?: components["schemas"]["CoreMetadata"];
+      metadata?: components['schemas']['CoreMetadata'];
     };
     /**
-     * ONNXModelLoaderOutput 
+     * ONNXModelLoaderOutput
      * @description Model loader output
      */
     ONNXModelLoaderOutput: {
       /**
-       * Type 
-       * @default model_loader_output_onnx 
+       * Type
+       * @default model_loader_output_onnx
        * @enum {string}
        */
-      type?: "model_loader_output_onnx";
+      type?: 'model_loader_output_onnx';
       /**
-       * UNet 
+       * UNet
        * @description UNet (scheduler, LoRAs)
        */
-      unet?: components["schemas"]["UNetField"];
+      unet?: components['schemas']['UNetField'];
       /**
-       * CLIP 
+       * CLIP
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components["schemas"]["ClipField"];
+      clip?: components['schemas']['ClipField'];
       /**
-       * VAE Decoder 
+       * VAE Decoder
        * @description VAE
        */
-      vae_decoder?: components["schemas"]["VaeField"];
+      vae_decoder?: components['schemas']['VaeField'];
       /**
-       * VAE Encoder 
+       * VAE Encoder
        * @description VAE
        */
-      vae_encoder?: components["schemas"]["VaeField"];
+      vae_encoder?: components['schemas']['VaeField'];
     };
     /**
-     * ONNX Prompt (Raw) 
+     * ONNX Prompt (Raw)
      * @description A node to process inputs and produce outputs.
      * May use dependency injection in __init__ to receive providers.
      */
     ONNXPromptInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default prompt_onnx 
+       * Type
+       * @default prompt_onnx
        * @enum {string}
        */
-      type: "prompt_onnx";
+      type: 'prompt_onnx';
       /**
-       * Prompt 
-       * @description Raw prompt text (no parsing) 
+       * Prompt
+       * @description Raw prompt text (no parsing)
        * @default
        */
       prompt?: string;
       /**
-       * Clip 
+       * Clip
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components["schemas"]["ClipField"];
+      clip?: components['schemas']['ClipField'];
     };
     /** ONNXStableDiffusion1ModelConfig */
     ONNXStableDiffusion1ModelConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
       /**
-       * Model Type 
+       * Model Type
        * @enum {string}
        */
-      model_type: "onnx";
+      model_type: 'onnx';
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format 
+       * Model Format
        * @enum {string}
        */
-      model_format: "onnx";
-      error?: components["schemas"]["ModelError"];
-      variant: components["schemas"]["ModelVariantType"];
+      model_format: 'onnx';
+      error?: components['schemas']['ModelError'];
+      variant: components['schemas']['ModelVariantType'];
     };
     /** ONNXStableDiffusion2ModelConfig */
     ONNXStableDiffusion2ModelConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
       /**
-       * Model Type 
+       * Model Type
        * @enum {string}
        */
-      model_type: "onnx";
+      model_type: 'onnx';
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format 
+       * Model Format
        * @enum {string}
        */
-      model_format: "onnx";
-      error?: components["schemas"]["ModelError"];
-      variant: components["schemas"]["ModelVariantType"];
-      prediction_type: components["schemas"]["SchedulerPredictionType"];
+      model_format: 'onnx';
+      error?: components['schemas']['ModelError'];
+      variant: components['schemas']['ModelVariantType'];
+      prediction_type: components['schemas']['SchedulerPredictionType'];
       /** Upcast Attention */
       upcast_attention: boolean;
     };
     /**
-     * ONNX Text to Latents 
+     * ONNX Text to Latents
      * @description Generates latents from conditionings.
      */
     ONNXTextToLatentsInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default t2l_onnx 
+       * Type
+       * @default t2l_onnx
        * @enum {string}
        */
-      type: "t2l_onnx";
+      type: 't2l_onnx';
       /**
-       * Positive Conditioning 
+       * Positive Conditioning
        * @description Positive conditioning tensor
        */
-      positive_conditioning?: components["schemas"]["ConditioningField"];
+      positive_conditioning?: components['schemas']['ConditioningField'];
       /**
-       * Negative Conditioning 
+       * Negative Conditioning
        * @description Negative conditioning tensor
        */
-      negative_conditioning?: components["schemas"]["ConditioningField"];
+      negative_conditioning?: components['schemas']['ConditioningField'];
       /**
-       * Noise 
+       * Noise
        * @description Noise tensor
        */
-      noise?: components["schemas"]["LatentsField"];
+      noise?: components['schemas']['LatentsField'];
       /**
-       * Steps 
-       * @description Number of steps to run 
+       * Steps
+       * @description Number of steps to run
        * @default 10
        */
       steps?: number;
       /**
-       * Cfg Scale 
-       * @description Classifier-Free Guidance scale 
+       * Cfg Scale
+       * @description Classifier-Free Guidance scale
        * @default 7.5
        */
-      cfg_scale?: number | (number)[];
+      cfg_scale?: number | number[];
       /**
-       * Scheduler 
-       * @description Scheduler to use during inference 
-       * @default euler 
+       * Scheduler
+       * @description Scheduler to use during inference
+       * @default euler
        * @enum {string}
        */
-      scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
+      scheduler?:
+        | 'ddim'
+        | 'ddpm'
+        | 'deis'
+        | 'lms'
+        | 'lms_k'
+        | 'pndm'
+        | 'heun'
+        | 'heun_k'
+        | 'euler'
+        | 'euler_k'
+        | 'euler_a'
+        | 'kdpm_2'
+        | 'kdpm_2_a'
+        | 'dpmpp_2s'
+        | 'dpmpp_2s_k'
+        | 'dpmpp_2m'
+        | 'dpmpp_2m_k'
+        | 'dpmpp_2m_sde'
+        | 'dpmpp_2m_sde_k'
+        | 'dpmpp_sde'
+        | 'dpmpp_sde_k'
+        | 'unipc';
       /**
-       * Precision 
-       * @description Precision to use 
-       * @default tensor(float16) 
+       * Precision
+       * @description Precision to use
+       * @default tensor(float16)
        * @enum {string}
        */
-      precision?: "tensor(bool)" | "tensor(int8)" | "tensor(uint8)" | "tensor(int16)" | "tensor(uint16)" | "tensor(int32)" | "tensor(uint32)" | "tensor(int64)" | "tensor(uint64)" | "tensor(float16)" | "tensor(float)" | "tensor(double)";
+      precision?:
+        | 'tensor(bool)'
+        | 'tensor(int8)'
+        | 'tensor(uint8)'
+        | 'tensor(int16)'
+        | 'tensor(uint16)'
+        | 'tensor(int32)'
+        | 'tensor(uint32)'
+        | 'tensor(int64)'
+        | 'tensor(uint64)'
+        | 'tensor(float16)'
+        | 'tensor(float)'
+        | 'tensor(double)';
       /**
-       * Unet 
+       * Unet
        * @description UNet (scheduler, LoRAs)
        */
-      unet?: components["schemas"]["UNetField"];
+      unet?: components['schemas']['UNetField'];
       /**
-       * Control 
+       * Control
        * @description ControlNet(s) to apply
        */
-      control?: components["schemas"]["ControlField"] | (components["schemas"]["ControlField"])[];
+      control?:
+        | components['schemas']['ControlField']
+        | components['schemas']['ControlField'][];
     };
     /**
-     * OffsetPaginatedResults[BoardDTO] 
+     * OffsetPaginatedResults[BoardDTO]
      * @description Offset-paginated results
      */
     OffsetPaginatedResults_BoardDTO_: {
       /**
-       * Items 
+       * Items
        * @description Items
        */
-      items: (components["schemas"]["BoardDTO"])[];
+      items: components['schemas']['BoardDTO'][];
       /**
-       * Offset 
+       * Offset
        * @description Offset from which to retrieve items
        */
       offset: number;
       /**
-       * Limit 
+       * Limit
        * @description Limit of items to get
        */
       limit: number;
       /**
-       * Total 
+       * Total
        * @description Total number of items in result
        */
       total: number;
     };
     /**
-     * OffsetPaginatedResults[ImageDTO] 
+     * OffsetPaginatedResults[ImageDTO]
      * @description Offset-paginated results
      */
     OffsetPaginatedResults_ImageDTO_: {
       /**
-       * Items 
+       * Items
        * @description Items
        */
-      items: (components["schemas"]["ImageDTO"])[];
+      items: components['schemas']['ImageDTO'][];
       /**
-       * Offset 
+       * Offset
        * @description Offset from which to retrieve items
        */
       offset: number;
       /**
-       * Limit 
+       * Limit
        * @description Limit of items to get
        */
       limit: number;
       /**
-       * Total 
+       * Total
        * @description Total number of items in result
        */
       total: number;
     };
     /**
-     * OnnxModelField 
+     * OnnxModelField
      * @description Onnx model field
      */
     OnnxModelField: {
       /**
-       * Model Name 
+       * Model Name
        * @description Name of the model
        */
       model_name: string;
       /** @description Base model */
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
       /** @description Model Type */
-      model_type: components["schemas"]["ModelType"];
+      model_type: components['schemas']['ModelType'];
     };
     /**
-     * ONNX Model Loader 
+     * ONNX Model Loader
      * @description Loads a main model, outputting its submodels.
      */
     OnnxModelLoaderInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default onnx_model_loader 
+       * Type
+       * @default onnx_model_loader
        * @enum {string}
        */
-      type: "onnx_model_loader";
+      type: 'onnx_model_loader';
       /**
-       * Model 
+       * Model
        * @description ONNX Main model (UNet, VAE, CLIP) to load
        */
-      model: components["schemas"]["OnnxModelField"];
+      model: components['schemas']['OnnxModelField'];
     };
     /**
-     * Openpose Processor 
+     * Openpose Processor
      * @description Applies Openpose processing to image
      */
     OpenposeImageProcessorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default openpose_image_processor 
+       * Type
+       * @default openpose_image_processor
        * @enum {string}
        */
-      type: "openpose_image_processor";
+      type: 'openpose_image_processor';
       /**
-       * Image 
+       * Image
        * @description The image to process
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Hand And Face 
-       * @description Whether to use hands and face mode 
+       * Hand And Face
+       * @description Whether to use hands and face mode
        * @default false
        */
       hand_and_face?: boolean;
       /**
-       * Detect Resolution 
-       * @description Pixel resolution for detection 
+       * Detect Resolution
+       * @description Pixel resolution for detection
        * @default 512
        */
       detect_resolution?: number;
       /**
-       * Image Resolution 
-       * @description Pixel resolution for output image 
+       * Image Resolution
+       * @description Pixel resolution for output image
        * @default 512
        */
       image_resolution?: number;
     };
     /**
-     * PaginatedResults[GraphExecutionState] 
+     * PaginatedResults[GraphExecutionState]
      * @description Paginated results
      */
     PaginatedResults_GraphExecutionState_: {
       /**
-       * Items 
+       * Items
        * @description Items
        */
-      items: (components["schemas"]["GraphExecutionState"])[];
+      items: components['schemas']['GraphExecutionState'][];
       /**
-       * Page 
+       * Page
        * @description Current Page
        */
       page: number;
       /**
-       * Pages 
+       * Pages
        * @description Total number of pages
        */
       pages: number;
       /**
-       * Per Page 
+       * Per Page
        * @description Number of items per page
        */
       per_page: number;
       /**
-       * Total 
+       * Total
        * @description Total number of items in result
        */
       total: number;
     };
     /**
-     * PIDI Processor 
+     * PIDI Processor
      * @description Applies PIDI processing to image
      */
     PidiImageProcessorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default pidi_image_processor 
+       * Type
+       * @default pidi_image_processor
        * @enum {string}
        */
-      type: "pidi_image_processor";
+      type: 'pidi_image_processor';
       /**
-       * Image 
+       * Image
        * @description The image to process
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Detect Resolution 
-       * @description Pixel resolution for detection 
+       * Detect Resolution
+       * @description Pixel resolution for detection
        * @default 512
        */
       detect_resolution?: number;
       /**
-       * Image Resolution 
-       * @description Pixel resolution for output image 
+       * Image Resolution
+       * @description Pixel resolution for output image
        * @default 512
        */
       image_resolution?: number;
       /**
-       * Safe 
-       * @description Whether or not to use safe mode 
+       * Safe
+       * @description Whether or not to use safe mode
        * @default false
        */
       safe?: boolean;
       /**
-       * Scribble 
-       * @description Whether or not to use scribble mode 
+       * Scribble
+       * @description Whether or not to use scribble mode
        * @default false
        */
       scribble?: boolean;
     };
     /**
-     * Prompts from File 
+     * Prompts from File
      * @description Loads prompts from a text file
      */
     PromptsFromFileInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default prompt_from_file 
+       * Type
+       * @default prompt_from_file
        * @enum {string}
        */
-      type: "prompt_from_file";
+      type: 'prompt_from_file';
       /**
-       * File Path 
+       * File Path
        * @description Path to prompt text file
        */
       file_path?: string;
       /**
-       * Pre Prompt 
+       * Pre Prompt
        * @description String to prepend to each prompt
        */
       pre_prompt?: string;
       /**
-       * Post Prompt 
+       * Post Prompt
        * @description String to append to each prompt
        */
       post_prompt?: string;
       /**
-       * Start Line 
-       * @description Line in the file to start start from 
+       * Start Line
+       * @description Line in the file to start start from
        * @default 1
        */
       start_line?: number;
       /**
-       * Max Prompts 
-       * @description Max lines to read from file (0=all) 
+       * Max Prompts
+       * @description Max lines to read from file (0=all)
        * @default 1
        */
       max_prompts?: number;
     };
     /**
-     * Random Integer 
+     * Random Integer
      * @description Outputs a single random integer.
      */
     RandomIntInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default rand_int 
+       * Type
+       * @default rand_int
        * @enum {string}
        */
-      type: "rand_int";
+      type: 'rand_int';
       /**
-       * Low 
-       * @description The inclusive low value 
+       * Low
+       * @description The inclusive low value
        * @default 0
        */
       low?: number;
       /**
-       * High 
-       * @description The exclusive high value 
+       * High
+       * @description The exclusive high value
        * @default 2147483647
        */
       high?: number;
     };
     /**
-     * Random Range 
+     * Random Range
      * @description Creates a collection of random numbers
      */
     RandomRangeInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default random_range 
+       * Type
+       * @default random_range
        * @enum {string}
        */
-      type: "random_range";
+      type: 'random_range';
       /**
-       * Low 
-       * @description The inclusive low value 
+       * Low
+       * @description The inclusive low value
        * @default 0
        */
       low?: number;
       /**
-       * High 
-       * @description The exclusive high value 
+       * High
+       * @description The exclusive high value
        * @default 2147483647
        */
       high?: number;
       /**
-       * Size 
-       * @description The number of values to generate 
+       * Size
+       * @description The number of values to generate
        * @default 1
        */
       size?: number;
       /**
-       * Seed 
+       * Seed
        * @description The seed for the RNG (omit for random)
        */
       seed?: number;
     };
     /**
-     * Integer Range 
+     * Integer Range
      * @description Creates a range of numbers from start to stop with step
      */
     RangeInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default range 
+       * Type
+       * @default range
        * @enum {string}
        */
-      type: "range";
+      type: 'range';
       /**
-       * Start 
-       * @description The start of the range 
+       * Start
+       * @description The start of the range
        * @default 0
        */
       start?: number;
       /**
-       * Stop 
-       * @description The stop of the range 
+       * Stop
+       * @description The stop of the range
        * @default 10
        */
       stop?: number;
       /**
-       * Step 
-       * @description The step of the range 
+       * Step
+       * @description The step of the range
        * @default 1
        */
       step?: number;
     };
     /**
-     * Integer Range of Size 
+     * Integer Range of Size
      * @description Creates a range from start to start + size with step
      */
     RangeOfSizeInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default range_of_size 
+       * Type
+       * @default range_of_size
        * @enum {string}
        */
-      type: "range_of_size";
+      type: 'range_of_size';
       /**
-       * Start 
-       * @description The start of the range 
+       * Start
+       * @description The start of the range
        * @default 0
        */
       start?: number;
       /**
-       * Size 
-       * @description The number of values 
+       * Size
+       * @description The number of values
        * @default 1
        */
       size?: number;
       /**
-       * Step 
-       * @description The step of the range 
+       * Step
+       * @description The step of the range
        * @default 1
        */
       step?: number;
@@ -5010,867 +5260,922 @@ export type components = {
     /** RemoveImagesFromBoardResult */
     RemoveImagesFromBoardResult: {
       /**
-       * Removed Image Names 
+       * Removed Image Names
        * @description The image names that were removed from their board
        */
-      removed_image_names: (string)[];
+      removed_image_names: string[];
     };
     /**
-     * Resize Latents 
+     * Resize Latents
      * @description Resizes latents to explicit width/height (in pixels). Provided dimensions are floor-divided by 8.
      */
     ResizeLatentsInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default lresize 
+       * Type
+       * @default lresize
        * @enum {string}
        */
-      type: "lresize";
+      type: 'lresize';
       /**
-       * Latents 
+       * Latents
        * @description Latents tensor
        */
-      latents?: components["schemas"]["LatentsField"];
+      latents?: components['schemas']['LatentsField'];
       /**
-       * Width 
+       * Width
        * @description Width of output (px)
        */
       width?: number;
       /**
-       * Height 
+       * Height
        * @description Width of output (px)
        */
       height?: number;
       /**
-       * Mode 
-       * @description Interpolation mode 
-       * @default bilinear 
+       * Mode
+       * @description Interpolation mode
+       * @default bilinear
        * @enum {string}
        */
-      mode?: "nearest" | "linear" | "bilinear" | "bicubic" | "trilinear" | "area" | "nearest-exact";
+      mode?:
+        | 'nearest'
+        | 'linear'
+        | 'bilinear'
+        | 'bicubic'
+        | 'trilinear'
+        | 'area'
+        | 'nearest-exact';
       /**
-       * Antialias 
-       * @description Whether or not to apply antialiasing (bilinear or bicubic only) 
+       * Antialias
+       * @description Whether or not to apply antialiasing (bilinear or bicubic only)
        * @default false
        */
       antialias?: boolean;
     };
     /**
-     * ResourceOrigin 
+     * ResourceOrigin
      * @description The origin of a resource (eg image).
-     * 
+     *
      * - INTERNAL: The resource was created by the application.
      * - EXTERNAL: The resource was not created by the application.
-     * This may be a user-initiated upload, or an internal application upload (eg Canvas init image). 
+     * This may be a user-initiated upload, or an internal application upload (eg Canvas init image).
      * @enum {string}
      */
-    ResourceOrigin: "internal" | "external";
+    ResourceOrigin: 'internal' | 'external';
     /**
-     * SDXL Compel Prompt 
+     * SDXL Compel Prompt
      * @description Parse prompt using compel package to conditioning.
      */
     SDXLCompelPromptInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default sdxl_compel_prompt 
+       * Type
+       * @default sdxl_compel_prompt
        * @enum {string}
        */
-      type: "sdxl_compel_prompt";
+      type: 'sdxl_compel_prompt';
       /**
-       * Prompt 
-       * @description Prompt to be parsed by Compel to create a conditioning tensor 
+       * Prompt
+       * @description Prompt to be parsed by Compel to create a conditioning tensor
        * @default
        */
       prompt?: string;
       /**
-       * Style 
-       * @description Prompt to be parsed by Compel to create a conditioning tensor 
+       * Style
+       * @description Prompt to be parsed by Compel to create a conditioning tensor
        * @default
        */
       style?: string;
       /**
-       * Original Width 
+       * Original Width
        * @default 1024
        */
       original_width?: number;
       /**
-       * Original Height 
+       * Original Height
        * @default 1024
        */
       original_height?: number;
       /**
-       * Crop Top 
+       * Crop Top
        * @default 0
        */
       crop_top?: number;
       /**
-       * Crop Left 
+       * Crop Left
        * @default 0
        */
       crop_left?: number;
       /**
-       * Target Width 
+       * Target Width
        * @default 1024
        */
       target_width?: number;
       /**
-       * Target Height 
+       * Target Height
        * @default 1024
        */
       target_height?: number;
       /**
-       * Clip 
+       * Clip
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components["schemas"]["ClipField"];
+      clip?: components['schemas']['ClipField'];
       /**
-       * Clip2 
+       * Clip2
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip2?: components["schemas"]["ClipField"];
+      clip2?: components['schemas']['ClipField'];
     };
     /**
-     * SDXL LoRA Loader 
+     * SDXL LoRA Loader
      * @description Apply selected lora to unet and text_encoder.
      */
     SDXLLoraLoaderInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default sdxl_lora_loader 
+       * Type
+       * @default sdxl_lora_loader
        * @enum {string}
        */
-      type: "sdxl_lora_loader";
+      type: 'sdxl_lora_loader';
       /**
-       * LoRA 
+       * LoRA
        * @description LoRA model to load
        */
-      lora: components["schemas"]["LoRAModelField"];
+      lora: components['schemas']['LoRAModelField'];
       /**
-       * Weight 
-       * @description The weight at which the LoRA is applied to each model 
+       * Weight
+       * @description The weight at which the LoRA is applied to each model
        * @default 0.75
        */
       weight?: number;
       /**
-       * UNET 
+       * UNET
        * @description UNet (scheduler, LoRAs)
        */
-      unet?: components["schemas"]["UNetField"];
+      unet?: components['schemas']['UNetField'];
       /**
-       * CLIP 1 
+       * CLIP 1
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components["schemas"]["ClipField"];
+      clip?: components['schemas']['ClipField'];
       /**
-       * CLIP 2 
+       * CLIP 2
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip2?: components["schemas"]["ClipField"];
+      clip2?: components['schemas']['ClipField'];
     };
     /**
-     * SDXLLoraLoaderOutput 
+     * SDXLLoraLoaderOutput
      * @description SDXL LoRA Loader Output
      */
     SDXLLoraLoaderOutput: {
       /**
-       * Type 
-       * @default sdxl_lora_loader_output 
+       * Type
+       * @default sdxl_lora_loader_output
        * @enum {string}
        */
-      type?: "sdxl_lora_loader_output";
+      type?: 'sdxl_lora_loader_output';
       /**
-       * UNet 
+       * UNet
        * @description UNet (scheduler, LoRAs)
        */
-      unet?: components["schemas"]["UNetField"];
+      unet?: components['schemas']['UNetField'];
       /**
-       * CLIP 1 
+       * CLIP 1
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components["schemas"]["ClipField"];
+      clip?: components['schemas']['ClipField'];
       /**
-       * CLIP 2 
+       * CLIP 2
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip2?: components["schemas"]["ClipField"];
+      clip2?: components['schemas']['ClipField'];
     };
     /**
-     * SDXL Main Model Loader 
+     * SDXL Main Model Loader
      * @description Loads an sdxl base model, outputting its submodels.
      */
     SDXLModelLoaderInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default sdxl_model_loader 
+       * Type
+       * @default sdxl_model_loader
        * @enum {string}
        */
-      type: "sdxl_model_loader";
+      type: 'sdxl_model_loader';
       /**
-       * Model 
+       * Model
        * @description SDXL Main model (UNet, VAE, CLIP1, CLIP2) to load
        */
-      model: components["schemas"]["MainModelField"];
+      model: components['schemas']['MainModelField'];
     };
     /**
-     * SDXLModelLoaderOutput 
+     * SDXLModelLoaderOutput
      * @description SDXL base model loader output
      */
     SDXLModelLoaderOutput: {
       /**
-       * Type 
-       * @default sdxl_model_loader_output 
+       * Type
+       * @default sdxl_model_loader_output
        * @enum {string}
        */
-      type?: "sdxl_model_loader_output";
+      type?: 'sdxl_model_loader_output';
       /**
-       * UNet 
+       * UNet
        * @description UNet (scheduler, LoRAs)
        */
-      unet: components["schemas"]["UNetField"];
+      unet: components['schemas']['UNetField'];
       /**
-       * CLIP 1 
+       * CLIP 1
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip: components["schemas"]["ClipField"];
+      clip: components['schemas']['ClipField'];
       /**
-       * CLIP 2 
+       * CLIP 2
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip2: components["schemas"]["ClipField"];
+      clip2: components['schemas']['ClipField'];
       /**
-       * VAE 
+       * VAE
        * @description VAE
        */
-      vae: components["schemas"]["VaeField"];
+      vae: components['schemas']['VaeField'];
     };
     /**
-     * SDXL Refiner Compel Prompt 
+     * SDXL Refiner Compel Prompt
      * @description Parse prompt using compel package to conditioning.
      */
     SDXLRefinerCompelPromptInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default sdxl_refiner_compel_prompt 
+       * Type
+       * @default sdxl_refiner_compel_prompt
        * @enum {string}
        */
-      type: "sdxl_refiner_compel_prompt";
+      type: 'sdxl_refiner_compel_prompt';
       /**
-       * Style 
-       * @description Prompt to be parsed by Compel to create a conditioning tensor 
+       * Style
+       * @description Prompt to be parsed by Compel to create a conditioning tensor
        * @default
        */
       style?: string;
       /**
-       * Original Width 
+       * Original Width
        * @default 1024
        */
       original_width?: number;
       /**
-       * Original Height 
+       * Original Height
        * @default 1024
        */
       original_height?: number;
       /**
-       * Crop Top 
+       * Crop Top
        * @default 0
        */
       crop_top?: number;
       /**
-       * Crop Left 
+       * Crop Left
        * @default 0
        */
       crop_left?: number;
       /**
-       * Aesthetic Score 
-       * @description The aesthetic score to apply to the conditioning tensor 
+       * Aesthetic Score
+       * @description The aesthetic score to apply to the conditioning tensor
        * @default 6
        */
       aesthetic_score?: number;
       /**
-       * Clip2 
+       * Clip2
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip2?: components["schemas"]["ClipField"];
+      clip2?: components['schemas']['ClipField'];
     };
     /**
-     * SDXL Refiner Model Loader 
+     * SDXL Refiner Model Loader
      * @description Loads an sdxl refiner model, outputting its submodels.
      */
     SDXLRefinerModelLoaderInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default sdxl_refiner_model_loader 
+       * Type
+       * @default sdxl_refiner_model_loader
        * @enum {string}
        */
-      type: "sdxl_refiner_model_loader";
+      type: 'sdxl_refiner_model_loader';
       /**
-       * Model 
+       * Model
        * @description SDXL Refiner Main Modde (UNet, VAE, CLIP2) to load
        */
-      model: components["schemas"]["MainModelField"];
+      model: components['schemas']['MainModelField'];
     };
     /**
-     * SDXLRefinerModelLoaderOutput 
+     * SDXLRefinerModelLoaderOutput
      * @description SDXL refiner model loader output
      */
     SDXLRefinerModelLoaderOutput: {
       /**
-       * Type 
-       * @default sdxl_refiner_model_loader_output 
+       * Type
+       * @default sdxl_refiner_model_loader_output
        * @enum {string}
        */
-      type?: "sdxl_refiner_model_loader_output";
+      type?: 'sdxl_refiner_model_loader_output';
       /**
-       * UNet 
+       * UNet
        * @description UNet (scheduler, LoRAs)
        */
-      unet: components["schemas"]["UNetField"];
+      unet: components['schemas']['UNetField'];
       /**
-       * CLIP 2 
+       * CLIP 2
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip2: components["schemas"]["ClipField"];
+      clip2: components['schemas']['ClipField'];
       /**
-       * VAE 
+       * VAE
        * @description VAE
        */
-      vae: components["schemas"]["VaeField"];
+      vae: components['schemas']['VaeField'];
     };
     /**
-     * Scale Latents 
+     * Scale Latents
      * @description Scales latents by a given factor.
      */
     ScaleLatentsInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default lscale 
+       * Type
+       * @default lscale
        * @enum {string}
        */
-      type: "lscale";
+      type: 'lscale';
       /**
-       * Latents 
+       * Latents
        * @description Latents tensor
        */
-      latents?: components["schemas"]["LatentsField"];
+      latents?: components['schemas']['LatentsField'];
       /**
-       * Scale Factor 
+       * Scale Factor
        * @description The factor by which to scale
        */
       scale_factor?: number;
       /**
-       * Mode 
-       * @description Interpolation mode 
-       * @default bilinear 
+       * Mode
+       * @description Interpolation mode
+       * @default bilinear
        * @enum {string}
        */
-      mode?: "nearest" | "linear" | "bilinear" | "bicubic" | "trilinear" | "area" | "nearest-exact";
+      mode?:
+        | 'nearest'
+        | 'linear'
+        | 'bilinear'
+        | 'bicubic'
+        | 'trilinear'
+        | 'area'
+        | 'nearest-exact';
       /**
-       * Antialias 
-       * @description Whether or not to apply antialiasing (bilinear or bicubic only) 
+       * Antialias
+       * @description Whether or not to apply antialiasing (bilinear or bicubic only)
        * @default false
        */
       antialias?: boolean;
     };
     /**
-     * SchedulerPredictionType 
-     * @description An enumeration. 
+     * SchedulerPredictionType
+     * @description An enumeration.
      * @enum {string}
      */
-    SchedulerPredictionType: "epsilon" | "v_prediction" | "sample";
+    SchedulerPredictionType: 'epsilon' | 'v_prediction' | 'sample';
     /**
-     * Segment Anything Processor 
+     * Segment Anything Processor
      * @description Applies segment anything processing to image
      */
     SegmentAnythingProcessorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default segment_anything_processor 
+       * Type
+       * @default segment_anything_processor
        * @enum {string}
        */
-      type: "segment_anything_processor";
+      type: 'segment_anything_processor';
       /**
-       * Image 
+       * Image
        * @description The image to process
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
     };
     /**
-     * Show Image 
+     * Show Image
      * @description Displays a provided image, and passes it forward in the pipeline.
      */
     ShowImageInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default show_image 
+       * Type
+       * @default show_image
        * @enum {string}
        */
-      type: "show_image";
+      type: 'show_image';
       /**
-       * Image 
+       * Image
        * @description The image to show
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
     };
     /** StableDiffusion1ModelCheckpointConfig */
     StableDiffusion1ModelCheckpointConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
       /**
-       * Model Type 
+       * Model Type
        * @enum {string}
        */
-      model_type: "main";
+      model_type: 'main';
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format 
+       * Model Format
        * @enum {string}
        */
-      model_format: "checkpoint";
-      error?: components["schemas"]["ModelError"];
+      model_format: 'checkpoint';
+      error?: components['schemas']['ModelError'];
       /** Vae */
       vae?: string;
       /** Config */
       config: string;
-      variant: components["schemas"]["ModelVariantType"];
+      variant: components['schemas']['ModelVariantType'];
     };
     /** StableDiffusion1ModelDiffusersConfig */
     StableDiffusion1ModelDiffusersConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
       /**
-       * Model Type 
+       * Model Type
        * @enum {string}
        */
-      model_type: "main";
+      model_type: 'main';
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format 
+       * Model Format
        * @enum {string}
        */
-      model_format: "diffusers";
-      error?: components["schemas"]["ModelError"];
+      model_format: 'diffusers';
+      error?: components['schemas']['ModelError'];
       /** Vae */
       vae?: string;
-      variant: components["schemas"]["ModelVariantType"];
+      variant: components['schemas']['ModelVariantType'];
     };
     /** StableDiffusion2ModelCheckpointConfig */
     StableDiffusion2ModelCheckpointConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
       /**
-       * Model Type 
+       * Model Type
        * @enum {string}
        */
-      model_type: "main";
+      model_type: 'main';
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format 
+       * Model Format
        * @enum {string}
        */
-      model_format: "checkpoint";
-      error?: components["schemas"]["ModelError"];
+      model_format: 'checkpoint';
+      error?: components['schemas']['ModelError'];
       /** Vae */
       vae?: string;
       /** Config */
       config: string;
-      variant: components["schemas"]["ModelVariantType"];
+      variant: components['schemas']['ModelVariantType'];
     };
     /** StableDiffusion2ModelDiffusersConfig */
     StableDiffusion2ModelDiffusersConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
       /**
-       * Model Type 
+       * Model Type
        * @enum {string}
        */
-      model_type: "main";
+      model_type: 'main';
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format 
+       * Model Format
        * @enum {string}
        */
-      model_format: "diffusers";
-      error?: components["schemas"]["ModelError"];
+      model_format: 'diffusers';
+      error?: components['schemas']['ModelError'];
       /** Vae */
       vae?: string;
-      variant: components["schemas"]["ModelVariantType"];
+      variant: components['schemas']['ModelVariantType'];
     };
     /** StableDiffusionXLModelCheckpointConfig */
     StableDiffusionXLModelCheckpointConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
       /**
-       * Model Type 
+       * Model Type
        * @enum {string}
        */
-      model_type: "main";
+      model_type: 'main';
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format 
+       * Model Format
        * @enum {string}
        */
-      model_format: "checkpoint";
-      error?: components["schemas"]["ModelError"];
+      model_format: 'checkpoint';
+      error?: components['schemas']['ModelError'];
       /** Vae */
       vae?: string;
       /** Config */
       config: string;
-      variant: components["schemas"]["ModelVariantType"];
+      variant: components['schemas']['ModelVariantType'];
     };
     /** StableDiffusionXLModelDiffusersConfig */
     StableDiffusionXLModelDiffusersConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
       /**
-       * Model Type 
+       * Model Type
        * @enum {string}
        */
-      model_type: "main";
+      model_type: 'main';
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format 
+       * Model Format
        * @enum {string}
        */
-      model_format: "diffusers";
-      error?: components["schemas"]["ModelError"];
+      model_format: 'diffusers';
+      error?: components['schemas']['ModelError'];
       /** Vae */
       vae?: string;
-      variant: components["schemas"]["ModelVariantType"];
+      variant: components['schemas']['ModelVariantType'];
     };
     /**
-     * Step Param Easing 
+     * Step Param Easing
      * @description Experimental per-step parameter easing for denoising steps
      */
     StepParamEasingInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default step_param_easing 
+       * Type
+       * @default step_param_easing
        * @enum {string}
        */
-      type: "step_param_easing";
+      type: 'step_param_easing';
       /**
-       * Easing 
-       * @description The easing function to use 
-       * @default Linear 
+       * Easing
+       * @description The easing function to use
+       * @default Linear
        * @enum {string}
        */
-      easing?: "Linear" | "QuadIn" | "QuadOut" | "QuadInOut" | "CubicIn" | "CubicOut" | "CubicInOut" | "QuarticIn" | "QuarticOut" | "QuarticInOut" | "QuinticIn" | "QuinticOut" | "QuinticInOut" | "SineIn" | "SineOut" | "SineInOut" | "CircularIn" | "CircularOut" | "CircularInOut" | "ExponentialIn" | "ExponentialOut" | "ExponentialInOut" | "ElasticIn" | "ElasticOut" | "ElasticInOut" | "BackIn" | "BackOut" | "BackInOut" | "BounceIn" | "BounceOut" | "BounceInOut";
+      easing?:
+        | 'Linear'
+        | 'QuadIn'
+        | 'QuadOut'
+        | 'QuadInOut'
+        | 'CubicIn'
+        | 'CubicOut'
+        | 'CubicInOut'
+        | 'QuarticIn'
+        | 'QuarticOut'
+        | 'QuarticInOut'
+        | 'QuinticIn'
+        | 'QuinticOut'
+        | 'QuinticInOut'
+        | 'SineIn'
+        | 'SineOut'
+        | 'SineInOut'
+        | 'CircularIn'
+        | 'CircularOut'
+        | 'CircularInOut'
+        | 'ExponentialIn'
+        | 'ExponentialOut'
+        | 'ExponentialInOut'
+        | 'ElasticIn'
+        | 'ElasticOut'
+        | 'ElasticInOut'
+        | 'BackIn'
+        | 'BackOut'
+        | 'BackInOut'
+        | 'BounceIn'
+        | 'BounceOut'
+        | 'BounceInOut';
       /**
-       * Num Steps 
-       * @description number of denoising steps 
+       * Num Steps
+       * @description number of denoising steps
        * @default 20
        */
       num_steps?: number;
       /**
-       * Start Value 
-       * @description easing starting value 
+       * Start Value
+       * @description easing starting value
        * @default 0
        */
       start_value?: number;
       /**
-       * End Value 
-       * @description easing ending value 
+       * End Value
+       * @description easing ending value
        * @default 1
        */
       end_value?: number;
       /**
-       * Start Step Percent 
-       * @description fraction of steps at which to start easing 
+       * Start Step Percent
+       * @description fraction of steps at which to start easing
        * @default 0
        */
       start_step_percent?: number;
       /**
-       * End Step Percent 
-       * @description fraction of steps after which to end easing 
+       * End Step Percent
+       * @description fraction of steps after which to end easing
        * @default 1
        */
       end_step_percent?: number;
       /**
-       * Pre Start Value 
+       * Pre Start Value
        * @description value before easing start
        */
       pre_start_value?: number;
       /**
-       * Post End Value 
+       * Post End Value
        * @description value after easing end
        */
       post_end_value?: number;
       /**
-       * Mirror 
-       * @description include mirror of easing function 
+       * Mirror
+       * @description include mirror of easing function
        * @default false
        */
       mirror?: boolean;
       /**
-       * Show Easing Plot 
-       * @description show easing plot 
+       * Show Easing Plot
+       * @description show easing plot
        * @default false
        */
       show_easing_plot?: boolean;
     };
     /**
-     * String Collection 
+     * String Collection
      * @description A collection of string primitive values
      */
     StringCollectionInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default string_collection 
+       * Type
+       * @default string_collection
        * @enum {string}
        */
-      type: "string_collection";
+      type: 'string_collection';
       /**
-       * Collection 
-       * @description The collection of string values 
+       * Collection
+       * @description The collection of string values
        * @default 0
        */
-      collection?: (string)[];
+      collection?: string[];
     };
     /**
-     * StringCollectionOutput 
+     * StringCollectionOutput
      * @description Base class for nodes that output a collection of strings
      */
     StringCollectionOutput: {
       /**
-       * Type 
-       * @default string_collection_output 
+       * Type
+       * @default string_collection_output
        * @enum {string}
        */
-      type?: "string_collection_output";
+      type?: 'string_collection_output';
       /**
-       * Collection 
+       * Collection
        * @description The output strings
        */
-      collection?: (string)[];
+      collection?: string[];
     };
     /**
-     * String 
+     * String
      * @description A string primitive value
      */
     StringInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default string 
+       * Type
+       * @default string
        * @enum {string}
        */
-      type: "string";
+      type: 'string';
       /**
-       * Text 
-       * @description The string value 
+       * Text
+       * @description The string value
        * @default
        */
       text?: string;
     };
     /**
-     * StringOutput 
+     * StringOutput
      * @description Base class for nodes that output a single string
      */
     StringOutput: {
       /**
-       * Type 
-       * @default string_output 
+       * Type
+       * @default string_output
        * @enum {string}
        */
-      type?: "string_output";
+      type?: 'string_output';
       /**
-       * Text 
+       * Text
        * @description The output string
        */
       text: string;
     };
     /**
-     * SubModelType 
-     * @description An enumeration. 
+     * SubModelType
+     * @description An enumeration.
      * @enum {string}
      */
-    SubModelType: "unet" | "text_encoder" | "text_encoder_2" | "tokenizer" | "tokenizer_2" | "vae" | "vae_decoder" | "vae_encoder" | "scheduler" | "safety_checker";
+    SubModelType:
+      | 'unet'
+      | 'text_encoder'
+      | 'text_encoder_2'
+      | 'tokenizer'
+      | 'tokenizer_2'
+      | 'vae'
+      | 'vae_decoder'
+      | 'vae_encoder'
+      | 'scheduler'
+      | 'safety_checker';
     /**
-     * Subtract Integers 
+     * Subtract Integers
      * @description Subtracts two numbers
      */
     SubtractInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default sub 
+       * Type
+       * @default sub
        * @enum {string}
        */
-      type: "sub";
+      type: 'sub';
       /**
-       * A 
-       * @description The first number 
+       * A
+       * @description The first number
        * @default 0
        */
       a?: number;
       /**
-       * B 
-       * @description The second number 
+       * B
+       * @description The second number
        * @default 0
        */
       b?: number;
@@ -5879,50 +6184,50 @@ export type components = {
     TextualInversionModelConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
       /**
-       * Model Type 
+       * Model Type
        * @enum {string}
        */
-      model_type: "embedding";
+      model_type: 'embedding';
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /** Model Format */
       model_format: null;
-      error?: components["schemas"]["ModelError"];
+      error?: components['schemas']['ModelError'];
     };
     /**
-     * Tile Resample Processor 
+     * Tile Resample Processor
      * @description Tile resampler processor
      */
     TileResamplerProcessorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default tile_image_processor 
+       * Type
+       * @default tile_image_processor
        * @enum {string}
        */
-      type: "tile_image_processor";
+      type: 'tile_image_processor';
       /**
-       * Image 
+       * Image
        * @description The image to process
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
       /**
-       * Down Sampling Rate 
-       * @description Down sampling rate 
+       * Down Sampling Rate
+       * @description Down sampling rate
        * @default 1
        */
       down_sampling_rate?: number;
@@ -5930,123 +6235,123 @@ export type components = {
     /** UNetField */
     UNetField: {
       /**
-       * Unet 
+       * Unet
        * @description Info to load unet submodel
        */
-      unet: components["schemas"]["ModelInfo"];
+      unet: components['schemas']['ModelInfo'];
       /**
-       * Scheduler 
+       * Scheduler
        * @description Info to load scheduler submodel
        */
-      scheduler: components["schemas"]["ModelInfo"];
+      scheduler: components['schemas']['ModelInfo'];
       /**
-       * Loras 
+       * Loras
        * @description Loras to apply on model loading
        */
-      loras: (components["schemas"]["LoraInfo"])[];
+      loras: components['schemas']['LoraInfo'][];
     };
     /** Upscaler */
     Upscaler: {
       /**
-       * Upscaling Method 
+       * Upscaling Method
        * @description Name of upscaling method
        */
       upscaling_method: string;
       /**
-       * Upscaling Models 
+       * Upscaling Models
        * @description List of upscaling models for this method
        */
-      upscaling_models: (string)[];
+      upscaling_models: string[];
     };
     /**
-     * VAEModelField 
+     * VAEModelField
      * @description Vae model field
      */
     VAEModelField: {
       /**
-       * Model Name 
+       * Model Name
        * @description Name of the model
        */
       model_name: string;
       /** @description Base model */
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
     };
     /** VaeField */
     VaeField: {
       /**
-       * Vae 
+       * Vae
        * @description Info to load vae submodel
        */
-      vae: components["schemas"]["ModelInfo"];
+      vae: components['schemas']['ModelInfo'];
     };
     /**
-     * VAE Loader 
+     * VAE Loader
      * @description Loads a VAE model, outputting a VaeLoaderOutput
      */
     VaeLoaderInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default vae_loader 
+       * Type
+       * @default vae_loader
        * @enum {string}
        */
-      type: "vae_loader";
+      type: 'vae_loader';
       /**
-       * VAE 
+       * VAE
        * @description VAE model to load
        */
-      vae_model: components["schemas"]["VAEModelField"];
+      vae_model: components['schemas']['VAEModelField'];
     };
     /**
-     * VaeLoaderOutput 
+     * VaeLoaderOutput
      * @description Model loader output
      */
     VaeLoaderOutput: {
       /**
-       * Type 
-       * @default vae_loader_output 
+       * Type
+       * @default vae_loader_output
        * @enum {string}
        */
-      type?: "vae_loader_output";
+      type?: 'vae_loader_output';
       /**
-       * VAE 
+       * VAE
        * @description VAE
        */
-      vae: components["schemas"]["VaeField"];
+      vae: components['schemas']['VaeField'];
     };
     /** VaeModelConfig */
     VaeModelConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components['schemas']['BaseModelType'];
       /**
-       * Model Type 
+       * Model Type
        * @enum {string}
        */
-      model_type: "vae";
+      model_type: 'vae';
       /** Path */
       path: string;
       /** Description */
       description?: string;
-      model_format: components["schemas"]["VaeModelFormat"];
-      error?: components["schemas"]["ModelError"];
+      model_format: components['schemas']['VaeModelFormat'];
+      error?: components['schemas']['ModelError'];
     };
     /**
-     * VaeModelFormat 
-     * @description An enumeration. 
+     * VaeModelFormat
+     * @description An enumeration.
      * @enum {string}
      */
-    VaeModelFormat: "checkpoint" | "diffusers";
+    VaeModelFormat: 'checkpoint' | 'diffusers';
     /** ValidationError */
     ValidationError: {
       /** Location */
@@ -6057,89 +6362,121 @@ export type components = {
       type: string;
     };
     /**
-     * Zoe (Depth) Processor 
+     * Zoe (Depth) Processor
      * @description Applies Zoe depth processing to image
      */
     ZoeDepthImageProcessorInvocation: {
       /**
-       * Id 
+       * Id
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate 
-       * @description Whether or not this node is an intermediate node. 
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type 
-       * @default zoe_depth_image_processor 
+       * Type
+       * @default zoe_depth_image_processor
        * @enum {string}
        */
-      type: "zoe_depth_image_processor";
+      type: 'zoe_depth_image_processor';
       /**
-       * Image 
+       * Image
        * @description The image to process
        */
-      image?: components["schemas"]["ImageField"];
+      image?: components['schemas']['ImageField'];
     };
     /**
-     * UIConfigBase 
+     * UIConfigBase
      * @description Provides additional node configuration to the UI.
      * This is used internally by the @tags and @title decorator logic. You probably want to use those
      * decorators, though you may add this class to a node definition to specify the title and tags.
      */
     UIConfigBase: {
       /**
-       * Tags 
+       * Tags
        * @description The tags to display in the UI
        */
-      tags?: (string)[];
+      tags?: string[];
       /**
-       * Title 
+       * Title
        * @description The display name of the node
        */
       title?: string;
     };
     /**
-     * Input 
+     * Input
      * @description The type of input a field accepts.
      * - `Input.Direct`: The field must have its value provided directly, when the invocation and field       are instantiated.
      * - `Input.Connection`: The field must have its value provided by a connection.
-     * - `Input.Any`: The field may have its value provided either directly or by a connection. 
+     * - `Input.Any`: The field may have its value provided either directly or by a connection.
      * @enum {string}
      */
-    Input: "connection" | "direct" | "any";
+    Input: 'connection' | 'direct' | 'any';
     /**
-     * UIType 
+     * UIType
      * @description Type hints for the UI.
-     * If a field should be provided a data type that does not exactly match the python type of the field,     use this to provide the type that should be used instead. See the node development docs for detail     on adding a new field type, which involves client-side changes. 
+     * If a field should be provided a data type that does not exactly match the python type of the field,     use this to provide the type that should be used instead. See the node development docs for detail     on adding a new field type, which involves client-side changes.
      * @enum {string}
      */
-    UIType: "integer" | "float" | "boolean" | "string" | "array" | "ImageField" | "LatentsField" | "ConditioningField" | "ControlField" | "ColorField" | "ImageCollection" | "ConditioningCollection" | "ColorCollection" | "LatentsCollection" | "IntegerCollection" | "FloatCollection" | "StringCollection" | "BooleanCollection" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "UNetField" | "VaeField" | "ClipField" | "Collection" | "CollectionItem" | "FilePath" | "enum";
+    UIType:
+      | 'integer'
+      | 'float'
+      | 'boolean'
+      | 'string'
+      | 'array'
+      | 'ImageField'
+      | 'LatentsField'
+      | 'ConditioningField'
+      | 'ControlField'
+      | 'ColorField'
+      | 'ImageCollection'
+      | 'ConditioningCollection'
+      | 'ColorCollection'
+      | 'LatentsCollection'
+      | 'IntegerCollection'
+      | 'FloatCollection'
+      | 'StringCollection'
+      | 'BooleanCollection'
+      | 'MainModelField'
+      | 'SDXLMainModelField'
+      | 'SDXLRefinerModelField'
+      | 'ONNXModelField'
+      | 'VaeModelField'
+      | 'LoRAModelField'
+      | 'ControlNetModelField'
+      | 'UNetField'
+      | 'VaeField'
+      | 'ClipField'
+      | 'Collection'
+      | 'CollectionItem'
+      | 'FilePath'
+      | 'enum';
     /**
-     * UIComponent 
-     * @description The type of UI component to use for a field, used to override the default components, which are     inferred from the field type. 
+     * UIComponent
+     * @description The type of UI component to use for a field, used to override the default components, which are     inferred from the field type.
      * @enum {string}
      */
-    UIComponent: "none" | "textarea" | "slider";
+    UIComponent: 'none' | 'textarea' | 'slider';
     /**
-     * _InputField 
+     * _InputField
      * @description *DO NOT USE*
      * This helper class is used to tell the client about our custom field attributes via OpenAPI
      * schema generation, and Typescript type generation from that schema. It serves no functional
      * purpose in the backend.
      */
     _InputField: {
-      input: components["schemas"]["Input"];
+      input: components['schemas']['Input'];
       /** Ui Hidden */
       ui_hidden: boolean;
-      ui_type?: components["schemas"]["UIType"];
-      ui_component?: components["schemas"]["UIComponent"];
+      ui_type?: components['schemas']['UIType'];
+      ui_component?: components['schemas']['UIComponent'];
     };
     /**
-     * _OutputField 
+     * _OutputField
      * @description *DO NOT USE*
      * This helper class is used to tell the client about our custom field attributes via OpenAPI
      * schema generation, and Typescript type generation from that schema. It serves no functional
@@ -6148,38 +6485,38 @@ export type components = {
     _OutputField: {
       /** Ui Hidden */
       ui_hidden: boolean;
-      ui_type?: components["schemas"]["UIType"];
+      ui_type?: components['schemas']['UIType'];
     };
     /**
-     * StableDiffusionXLModelFormat 
-     * @description An enumeration. 
+     * StableDiffusionXLModelFormat
+     * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
+    StableDiffusionXLModelFormat: 'checkpoint' | 'diffusers';
     /**
-     * StableDiffusion1ModelFormat 
-     * @description An enumeration. 
+     * StableDiffusion1ModelFormat
+     * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
+    StableDiffusion1ModelFormat: 'checkpoint' | 'diffusers';
     /**
-     * ControlNetModelFormat 
-     * @description An enumeration. 
+     * ControlNetModelFormat
+     * @description An enumeration.
      * @enum {string}
      */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
+    ControlNetModelFormat: 'checkpoint' | 'diffusers';
     /**
-     * StableDiffusion2ModelFormat 
-     * @description An enumeration. 
+     * StableDiffusion2ModelFormat
+     * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
+    StableDiffusion2ModelFormat: 'checkpoint' | 'diffusers';
     /**
-     * StableDiffusionOnnxModelFormat 
-     * @description An enumeration. 
+     * StableDiffusionOnnxModelFormat
+     * @description An enumeration.
      * @enum {string}
      */
-    StableDiffusionOnnxModelFormat: "olive" | "onnx";
+    StableDiffusionOnnxModelFormat: 'olive' | 'onnx';
   };
   responses: never;
   parameters: never;
@@ -6191,9 +6528,8 @@ export type components = {
 export type external = Record<string, never>;
 
 export type operations = {
-
   /**
-   * List Sessions 
+   * List Sessions
    * @description Gets a list of sessions, optionally searching
    */
   list_sessions: {
@@ -6211,32 +6547,32 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["PaginatedResults_GraphExecutionState_"];
+          'application/json': components['schemas']['PaginatedResults_GraphExecutionState_'];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Create Session 
+   * Create Session
    * @description Creates a new session, optionally initializing it with an invocation graph
    */
   create_session: {
     requestBody?: {
       content: {
-        "application/json": components["schemas"]["Graph"];
+        'application/json': components['schemas']['Graph'];
       };
     };
     responses: {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["GraphExecutionState"];
+          'application/json': components['schemas']['GraphExecutionState'];
         };
       };
       /** @description Invalid json */
@@ -6244,13 +6580,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Get Session 
+   * Get Session
    * @description Gets a session
    */
   get_session: {
@@ -6264,7 +6600,7 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["GraphExecutionState"];
+          'application/json': components['schemas']['GraphExecutionState'];
         };
       };
       /** @description Session not found */
@@ -6272,13 +6608,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Add Node 
+   * Add Node
    * @description Adds a node to the graph
    */
   add_node: {
@@ -6290,14 +6626,107 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        'application/json':
+          | components['schemas']['BooleanInvocation']
+          | components['schemas']['BooleanCollectionInvocation']
+          | components['schemas']['IntegerInvocation']
+          | components['schemas']['IntegerCollectionInvocation']
+          | components['schemas']['FloatInvocation']
+          | components['schemas']['FloatCollectionInvocation']
+          | components['schemas']['StringInvocation']
+          | components['schemas']['StringCollectionInvocation']
+          | components['schemas']['ImageInvocation']
+          | components['schemas']['ImageCollectionInvocation']
+          | components['schemas']['LatentsInvocation']
+          | components['schemas']['LatentsCollectionInvocation']
+          | components['schemas']['ColorInvocation']
+          | components['schemas']['ConditioningInvocation']
+          | components['schemas']['ConditioningCollectionInvocation']
+          | components['schemas']['ControlNetInvocation']
+          | components['schemas']['ImageProcessorInvocation']
+          | components['schemas']['MainModelLoaderInvocation']
+          | components['schemas']['LoraLoaderInvocation']
+          | components['schemas']['SDXLLoraLoaderInvocation']
+          | components['schemas']['VaeLoaderInvocation']
+          | components['schemas']['MetadataAccumulatorInvocation']
+          | components['schemas']['SDXLModelLoaderInvocation']
+          | components['schemas']['SDXLRefinerModelLoaderInvocation']
+          | components['schemas']['CompelInvocation']
+          | components['schemas']['SDXLCompelPromptInvocation']
+          | components['schemas']['SDXLRefinerCompelPromptInvocation']
+          | components['schemas']['ClipSkipInvocation']
+          | components['schemas']['DenoiseLatentsInvocation']
+          | components['schemas']['LatentsToImageInvocation']
+          | components['schemas']['ResizeLatentsInvocation']
+          | components['schemas']['ScaleLatentsInvocation']
+          | components['schemas']['ImageToLatentsInvocation']
+          | components['schemas']['ONNXPromptInvocation']
+          | components['schemas']['ONNXTextToLatentsInvocation']
+          | components['schemas']['ONNXLatentsToImageInvocation']
+          | components['schemas']['OnnxModelLoaderInvocation']
+          | components['schemas']['ShowImageInvocation']
+          | components['schemas']['ImageCropInvocation']
+          | components['schemas']['ImagePasteInvocation']
+          | components['schemas']['MaskFromAlphaInvocation']
+          | components['schemas']['ImageMultiplyInvocation']
+          | components['schemas']['ImageChannelInvocation']
+          | components['schemas']['ImageConvertInvocation']
+          | components['schemas']['ImageBlurInvocation']
+          | components['schemas']['ImageResizeInvocation']
+          | components['schemas']['ImageScaleInvocation']
+          | components['schemas']['ImageLerpInvocation']
+          | components['schemas']['ImageInverseLerpInvocation']
+          | components['schemas']['ImageNSFWBlurInvocation']
+          | components['schemas']['ImageWatermarkInvocation']
+          | components['schemas']['MaskEdgeInvocation']
+          | components['schemas']['MaskCombineInvocation']
+          | components['schemas']['ColorCorrectInvocation']
+          | components['schemas']['ImageHueAdjustmentInvocation']
+          | components['schemas']['ImageLuminosityAdjustmentInvocation']
+          | components['schemas']['ImageSaturationAdjustmentInvocation']
+          | components['schemas']['DynamicPromptInvocation']
+          | components['schemas']['PromptsFromFileInvocation']
+          | components['schemas']['CvInpaintInvocation']
+          | components['schemas']['FloatLinearRangeInvocation']
+          | components['schemas']['StepParamEasingInvocation']
+          | components['schemas']['AddInvocation']
+          | components['schemas']['SubtractInvocation']
+          | components['schemas']['MultiplyInvocation']
+          | components['schemas']['DivideInvocation']
+          | components['schemas']['RandomIntInvocation']
+          | components['schemas']['NoiseInvocation']
+          | components['schemas']['RangeInvocation']
+          | components['schemas']['RangeOfSizeInvocation']
+          | components['schemas']['RandomRangeInvocation']
+          | components['schemas']['ESRGANInvocation']
+          | components['schemas']['InfillColorInvocation']
+          | components['schemas']['InfillTileInvocation']
+          | components['schemas']['InfillPatchMatchInvocation']
+          | components['schemas']['GraphInvocation']
+          | components['schemas']['IterateInvocation']
+          | components['schemas']['CollectInvocation']
+          | components['schemas']['CannyImageProcessorInvocation']
+          | components['schemas']['HedImageProcessorInvocation']
+          | components['schemas']['LineartImageProcessorInvocation']
+          | components['schemas']['LineartAnimeImageProcessorInvocation']
+          | components['schemas']['OpenposeImageProcessorInvocation']
+          | components['schemas']['MidasDepthImageProcessorInvocation']
+          | components['schemas']['NormalbaeImageProcessorInvocation']
+          | components['schemas']['MlsdImageProcessorInvocation']
+          | components['schemas']['PidiImageProcessorInvocation']
+          | components['schemas']['ContentShuffleImageProcessorInvocation']
+          | components['schemas']['ZoeDepthImageProcessorInvocation']
+          | components['schemas']['MediapipeFaceProcessorInvocation']
+          | components['schemas']['LeresImageProcessorInvocation']
+          | components['schemas']['TileResamplerProcessorInvocation']
+          | components['schemas']['SegmentAnythingProcessorInvocation'];
       };
     };
     responses: {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": string;
+          'application/json': string;
         };
       };
       /** @description Invalid node or link */
@@ -6307,13 +6736,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Update Node 
+   * Update Node
    * @description Updates a node in the graph and removes all linked edges
    */
   update_node: {
@@ -6327,14 +6756,107 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        'application/json':
+          | components['schemas']['BooleanInvocation']
+          | components['schemas']['BooleanCollectionInvocation']
+          | components['schemas']['IntegerInvocation']
+          | components['schemas']['IntegerCollectionInvocation']
+          | components['schemas']['FloatInvocation']
+          | components['schemas']['FloatCollectionInvocation']
+          | components['schemas']['StringInvocation']
+          | components['schemas']['StringCollectionInvocation']
+          | components['schemas']['ImageInvocation']
+          | components['schemas']['ImageCollectionInvocation']
+          | components['schemas']['LatentsInvocation']
+          | components['schemas']['LatentsCollectionInvocation']
+          | components['schemas']['ColorInvocation']
+          | components['schemas']['ConditioningInvocation']
+          | components['schemas']['ConditioningCollectionInvocation']
+          | components['schemas']['ControlNetInvocation']
+          | components['schemas']['ImageProcessorInvocation']
+          | components['schemas']['MainModelLoaderInvocation']
+          | components['schemas']['LoraLoaderInvocation']
+          | components['schemas']['SDXLLoraLoaderInvocation']
+          | components['schemas']['VaeLoaderInvocation']
+          | components['schemas']['MetadataAccumulatorInvocation']
+          | components['schemas']['SDXLModelLoaderInvocation']
+          | components['schemas']['SDXLRefinerModelLoaderInvocation']
+          | components['schemas']['CompelInvocation']
+          | components['schemas']['SDXLCompelPromptInvocation']
+          | components['schemas']['SDXLRefinerCompelPromptInvocation']
+          | components['schemas']['ClipSkipInvocation']
+          | components['schemas']['DenoiseLatentsInvocation']
+          | components['schemas']['LatentsToImageInvocation']
+          | components['schemas']['ResizeLatentsInvocation']
+          | components['schemas']['ScaleLatentsInvocation']
+          | components['schemas']['ImageToLatentsInvocation']
+          | components['schemas']['ONNXPromptInvocation']
+          | components['schemas']['ONNXTextToLatentsInvocation']
+          | components['schemas']['ONNXLatentsToImageInvocation']
+          | components['schemas']['OnnxModelLoaderInvocation']
+          | components['schemas']['ShowImageInvocation']
+          | components['schemas']['ImageCropInvocation']
+          | components['schemas']['ImagePasteInvocation']
+          | components['schemas']['MaskFromAlphaInvocation']
+          | components['schemas']['ImageMultiplyInvocation']
+          | components['schemas']['ImageChannelInvocation']
+          | components['schemas']['ImageConvertInvocation']
+          | components['schemas']['ImageBlurInvocation']
+          | components['schemas']['ImageResizeInvocation']
+          | components['schemas']['ImageScaleInvocation']
+          | components['schemas']['ImageLerpInvocation']
+          | components['schemas']['ImageInverseLerpInvocation']
+          | components['schemas']['ImageNSFWBlurInvocation']
+          | components['schemas']['ImageWatermarkInvocation']
+          | components['schemas']['MaskEdgeInvocation']
+          | components['schemas']['MaskCombineInvocation']
+          | components['schemas']['ColorCorrectInvocation']
+          | components['schemas']['ImageHueAdjustmentInvocation']
+          | components['schemas']['ImageLuminosityAdjustmentInvocation']
+          | components['schemas']['ImageSaturationAdjustmentInvocation']
+          | components['schemas']['DynamicPromptInvocation']
+          | components['schemas']['PromptsFromFileInvocation']
+          | components['schemas']['CvInpaintInvocation']
+          | components['schemas']['FloatLinearRangeInvocation']
+          | components['schemas']['StepParamEasingInvocation']
+          | components['schemas']['AddInvocation']
+          | components['schemas']['SubtractInvocation']
+          | components['schemas']['MultiplyInvocation']
+          | components['schemas']['DivideInvocation']
+          | components['schemas']['RandomIntInvocation']
+          | components['schemas']['NoiseInvocation']
+          | components['schemas']['RangeInvocation']
+          | components['schemas']['RangeOfSizeInvocation']
+          | components['schemas']['RandomRangeInvocation']
+          | components['schemas']['ESRGANInvocation']
+          | components['schemas']['InfillColorInvocation']
+          | components['schemas']['InfillTileInvocation']
+          | components['schemas']['InfillPatchMatchInvocation']
+          | components['schemas']['GraphInvocation']
+          | components['schemas']['IterateInvocation']
+          | components['schemas']['CollectInvocation']
+          | components['schemas']['CannyImageProcessorInvocation']
+          | components['schemas']['HedImageProcessorInvocation']
+          | components['schemas']['LineartImageProcessorInvocation']
+          | components['schemas']['LineartAnimeImageProcessorInvocation']
+          | components['schemas']['OpenposeImageProcessorInvocation']
+          | components['schemas']['MidasDepthImageProcessorInvocation']
+          | components['schemas']['NormalbaeImageProcessorInvocation']
+          | components['schemas']['MlsdImageProcessorInvocation']
+          | components['schemas']['PidiImageProcessorInvocation']
+          | components['schemas']['ContentShuffleImageProcessorInvocation']
+          | components['schemas']['ZoeDepthImageProcessorInvocation']
+          | components['schemas']['MediapipeFaceProcessorInvocation']
+          | components['schemas']['LeresImageProcessorInvocation']
+          | components['schemas']['TileResamplerProcessorInvocation']
+          | components['schemas']['SegmentAnythingProcessorInvocation'];
       };
     };
     responses: {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["GraphExecutionState"];
+          'application/json': components['schemas']['GraphExecutionState'];
         };
       };
       /** @description Invalid node or link */
@@ -6344,13 +6866,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Delete Node 
+   * Delete Node
    * @description Deletes a node in the graph and removes all linked edges
    */
   delete_node: {
@@ -6366,7 +6888,7 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["GraphExecutionState"];
+          'application/json': components['schemas']['GraphExecutionState'];
         };
       };
       /** @description Invalid node or link */
@@ -6376,13 +6898,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Add Edge 
+   * Add Edge
    * @description Adds an edge to the graph
    */
   add_edge: {
@@ -6394,14 +6916,14 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["Edge"];
+        'application/json': components['schemas']['Edge'];
       };
     };
     responses: {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["GraphExecutionState"];
+          'application/json': components['schemas']['GraphExecutionState'];
         };
       };
       /** @description Invalid node or link */
@@ -6411,13 +6933,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Delete Edge 
+   * Delete Edge
    * @description Deletes an edge from the graph
    */
   delete_edge: {
@@ -6439,7 +6961,7 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["GraphExecutionState"];
+          'application/json': components['schemas']['GraphExecutionState'];
         };
       };
       /** @description Invalid node or link */
@@ -6449,13 +6971,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Invoke Session 
+   * Invoke Session
    * @description Invokes a session
    */
   invoke_session: {
@@ -6473,7 +6995,7 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": unknown;
+          'application/json': unknown;
         };
       };
       /** @description The invocation is queued */
@@ -6485,13 +7007,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Cancel Session Invoke 
+   * Cancel Session Invoke
    * @description Invokes a session
    */
   cancel_session_invoke: {
@@ -6505,7 +7027,7 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": unknown;
+          'application/json': unknown;
         };
       };
       /** @description The invocation is canceled */
@@ -6513,50 +7035,50 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * List Models 
+   * List Models
    * @description Gets a list of models
    */
   list_models: {
     parameters: {
       query?: {
         /** @description Base models to include */
-        base_models?: (components["schemas"]["BaseModelType"])[];
+        base_models?: components['schemas']['BaseModelType'][];
         /** @description The type of model to get */
-        model_type?: components["schemas"]["ModelType"];
+        model_type?: components['schemas']['ModelType'];
       };
     };
     responses: {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["ModelsList"];
+          'application/json': components['schemas']['ModelsList'];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Delete Model 
+   * Delete Model
    * @description Delete Model
    */
   del_model: {
     parameters: {
       path: {
         /** @description Base model */
-        base_model: components["schemas"]["BaseModelType"];
+        base_model: components['schemas']['BaseModelType'];
         /** @description The type of model */
-        model_type: components["schemas"]["ModelType"];
+        model_type: components['schemas']['ModelType'];
         /** @description model name */
         model_name: string;
       };
@@ -6569,36 +7091,62 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Update Model 
+   * Update Model
    * @description Update model contents with a new config. If the model name or base fields are changed, then the model is renamed.
    */
   update_model: {
     parameters: {
       path: {
         /** @description Base model */
-        base_model: components["schemas"]["BaseModelType"];
+        base_model: components['schemas']['BaseModelType'];
         /** @description The type of model */
-        model_type: components["schemas"]["ModelType"];
+        model_type: components['schemas']['ModelType'];
         /** @description model name */
         model_name: string;
       };
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+        'application/json':
+          | components['schemas']['ONNXStableDiffusion1ModelConfig']
+          | components['schemas']['StableDiffusion1ModelCheckpointConfig']
+          | components['schemas']['StableDiffusion1ModelDiffusersConfig']
+          | components['schemas']['VaeModelConfig']
+          | components['schemas']['LoRAModelConfig']
+          | components['schemas']['ControlNetModelCheckpointConfig']
+          | components['schemas']['ControlNetModelDiffusersConfig']
+          | components['schemas']['TextualInversionModelConfig']
+          | components['schemas']['ONNXStableDiffusion2ModelConfig']
+          | components['schemas']['StableDiffusion2ModelCheckpointConfig']
+          | components['schemas']['StableDiffusion2ModelDiffusersConfig']
+          | components['schemas']['StableDiffusionXLModelCheckpointConfig']
+          | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
       };
     };
     responses: {
       /** @description The model was updated successfully */
       200: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          'application/json':
+            | components['schemas']['ONNXStableDiffusion1ModelConfig']
+            | components['schemas']['StableDiffusion1ModelCheckpointConfig']
+            | components['schemas']['StableDiffusion1ModelDiffusersConfig']
+            | components['schemas']['VaeModelConfig']
+            | components['schemas']['LoRAModelConfig']
+            | components['schemas']['ControlNetModelCheckpointConfig']
+            | components['schemas']['ControlNetModelDiffusersConfig']
+            | components['schemas']['TextualInversionModelConfig']
+            | components['schemas']['ONNXStableDiffusion2ModelConfig']
+            | components['schemas']['StableDiffusion2ModelCheckpointConfig']
+            | components['schemas']['StableDiffusion2ModelDiffusersConfig']
+            | components['schemas']['StableDiffusionXLModelCheckpointConfig']
+            | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
         };
       };
       /** @description Bad request */
@@ -6610,26 +7158,39 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Import Model 
+   * Import Model
    * @description Add a model using its local path, repo_id, or remote URL. Model characteristics will be probed and configured automatically
    */
   import_model: {
     requestBody: {
       content: {
-        "application/json": components["schemas"]["Body_import_model"];
+        'application/json': components['schemas']['Body_import_model'];
       };
     };
     responses: {
       /** @description The model imported successfully */
       201: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          'application/json':
+            | components['schemas']['ONNXStableDiffusion1ModelConfig']
+            | components['schemas']['StableDiffusion1ModelCheckpointConfig']
+            | components['schemas']['StableDiffusion1ModelDiffusersConfig']
+            | components['schemas']['VaeModelConfig']
+            | components['schemas']['LoRAModelConfig']
+            | components['schemas']['ControlNetModelCheckpointConfig']
+            | components['schemas']['ControlNetModelDiffusersConfig']
+            | components['schemas']['TextualInversionModelConfig']
+            | components['schemas']['ONNXStableDiffusion2ModelConfig']
+            | components['schemas']['StableDiffusion2ModelCheckpointConfig']
+            | components['schemas']['StableDiffusion2ModelDiffusersConfig']
+            | components['schemas']['StableDiffusionXLModelCheckpointConfig']
+            | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
         };
       };
       /** @description The model could not be found */
@@ -6641,7 +7202,7 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
       /** @description The model appeared to import successfully, but could not be found in the model manager */
@@ -6649,20 +7210,46 @@ export type operations = {
     };
   };
   /**
-   * Add Model 
+   * Add Model
    * @description Add a model using the configuration information appropriate for its type. Only local models can be added by path
    */
   add_model: {
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+        'application/json':
+          | components['schemas']['ONNXStableDiffusion1ModelConfig']
+          | components['schemas']['StableDiffusion1ModelCheckpointConfig']
+          | components['schemas']['StableDiffusion1ModelDiffusersConfig']
+          | components['schemas']['VaeModelConfig']
+          | components['schemas']['LoRAModelConfig']
+          | components['schemas']['ControlNetModelCheckpointConfig']
+          | components['schemas']['ControlNetModelDiffusersConfig']
+          | components['schemas']['TextualInversionModelConfig']
+          | components['schemas']['ONNXStableDiffusion2ModelConfig']
+          | components['schemas']['StableDiffusion2ModelCheckpointConfig']
+          | components['schemas']['StableDiffusion2ModelDiffusersConfig']
+          | components['schemas']['StableDiffusionXLModelCheckpointConfig']
+          | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
       };
     };
     responses: {
       /** @description The model added successfully */
       201: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          'application/json':
+            | components['schemas']['ONNXStableDiffusion1ModelConfig']
+            | components['schemas']['StableDiffusion1ModelCheckpointConfig']
+            | components['schemas']['StableDiffusion1ModelDiffusersConfig']
+            | components['schemas']['VaeModelConfig']
+            | components['schemas']['LoRAModelConfig']
+            | components['schemas']['ControlNetModelCheckpointConfig']
+            | components['schemas']['ControlNetModelDiffusersConfig']
+            | components['schemas']['TextualInversionModelConfig']
+            | components['schemas']['ONNXStableDiffusion2ModelConfig']
+            | components['schemas']['StableDiffusion2ModelCheckpointConfig']
+            | components['schemas']['StableDiffusion2ModelDiffusersConfig']
+            | components['schemas']['StableDiffusionXLModelCheckpointConfig']
+            | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
         };
       };
       /** @description The model could not be found */
@@ -6672,7 +7259,7 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
       /** @description The model appeared to add successfully, but could not be found in the model manager */
@@ -6680,7 +7267,7 @@ export type operations = {
     };
   };
   /**
-   * Convert Model 
+   * Convert Model
    * @description Convert a checkpoint model into a diffusers model, optionally saving to the indicated destination directory, or `models` if none.
    */
   convert_model: {
@@ -6691,9 +7278,9 @@ export type operations = {
       };
       path: {
         /** @description Base model */
-        base_model: components["schemas"]["BaseModelType"];
+        base_model: components['schemas']['BaseModelType'];
         /** @description The type of model */
-        model_type: components["schemas"]["ModelType"];
+        model_type: components['schemas']['ModelType'];
         /** @description model name */
         model_name: string;
       };
@@ -6702,7 +7289,20 @@ export type operations = {
       /** @description Model converted successfully */
       200: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          'application/json':
+            | components['schemas']['ONNXStableDiffusion1ModelConfig']
+            | components['schemas']['StableDiffusion1ModelCheckpointConfig']
+            | components['schemas']['StableDiffusion1ModelDiffusersConfig']
+            | components['schemas']['VaeModelConfig']
+            | components['schemas']['LoRAModelConfig']
+            | components['schemas']['ControlNetModelCheckpointConfig']
+            | components['schemas']['ControlNetModelDiffusersConfig']
+            | components['schemas']['TextualInversionModelConfig']
+            | components['schemas']['ONNXStableDiffusion2ModelConfig']
+            | components['schemas']['StableDiffusion2ModelCheckpointConfig']
+            | components['schemas']['StableDiffusion2ModelDiffusersConfig']
+            | components['schemas']['StableDiffusionXLModelCheckpointConfig']
+            | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
         };
       };
       /** @description Bad request */
@@ -6712,7 +7312,7 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
@@ -6729,7 +7329,7 @@ export type operations = {
       /** @description Directory searched successfully */
       200: {
         content: {
-          "application/json": (string)[];
+          'application/json': string[];
         };
       };
       /** @description Invalid directory path */
@@ -6737,13 +7337,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * List Ckpt Configs 
+   * List Ckpt Configs
    * @description Return a list of the legacy checkpoint configuration files stored in `ROOT/configs/stable-diffusion`, relative to ROOT.
    */
   list_ckpt_configs: {
@@ -6751,13 +7351,13 @@ export type operations = {
       /** @description paths retrieved successfully */
       200: {
         content: {
-          "application/json": (string)[];
+          'application/json': string[];
         };
       };
     };
   };
   /**
-   * Sync To Config 
+   * Sync To Config
    * @description Call after making changes to models.yaml, autoimport directories or models directory to synchronize
    * in-memory data structures with disk data structures.
    */
@@ -6766,32 +7366,45 @@ export type operations = {
       /** @description synchronization successful */
       201: {
         content: {
-          "application/json": boolean;
+          'application/json': boolean;
         };
       };
     };
   };
   /**
-   * Merge Models 
+   * Merge Models
    * @description Convert a checkpoint model into a diffusers model
    */
   merge_models: {
     parameters: {
       path: {
         /** @description Base model */
-        base_model: components["schemas"]["BaseModelType"];
+        base_model: components['schemas']['BaseModelType'];
       };
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["Body_merge_models"];
+        'application/json': components['schemas']['Body_merge_models'];
       };
     };
     responses: {
       /** @description Model converted successfully */
       200: {
         content: {
-          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
+          'application/json':
+            | components['schemas']['ONNXStableDiffusion1ModelConfig']
+            | components['schemas']['StableDiffusion1ModelCheckpointConfig']
+            | components['schemas']['StableDiffusion1ModelDiffusersConfig']
+            | components['schemas']['VaeModelConfig']
+            | components['schemas']['LoRAModelConfig']
+            | components['schemas']['ControlNetModelCheckpointConfig']
+            | components['schemas']['ControlNetModelDiffusersConfig']
+            | components['schemas']['TextualInversionModelConfig']
+            | components['schemas']['ONNXStableDiffusion2ModelConfig']
+            | components['schemas']['StableDiffusion2ModelCheckpointConfig']
+            | components['schemas']['StableDiffusion2ModelDiffusersConfig']
+            | components['schemas']['StableDiffusionXLModelCheckpointConfig']
+            | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
         };
       };
       /** @description Incompatible models */
@@ -6801,20 +7414,20 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Upload Image 
+   * Upload Image
    * @description Uploads an image
    */
   upload_image: {
     parameters: {
       query: {
         /** @description The category of the image */
-        image_category: components["schemas"]["ImageCategory"];
+        image_category: components['schemas']['ImageCategory'];
         /** @description Whether this is an intermediate image */
         is_intermediate: boolean;
         /** @description The board to add this image to, if any */
@@ -6827,14 +7440,14 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "multipart/form-data": components["schemas"]["Body_upload_image"];
+        'multipart/form-data': components['schemas']['Body_upload_image'];
       };
     };
     responses: {
       /** @description The image was uploaded successfully */
       201: {
         content: {
-          "application/json": components["schemas"]["ImageDTO"];
+          'application/json': components['schemas']['ImageDTO'];
         };
       };
       /** @description Image upload failed */
@@ -6842,13 +7455,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Get Image Dto 
+   * Get Image Dto
    * @description Gets an image's DTO
    */
   get_image_dto: {
@@ -6862,19 +7475,19 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["ImageDTO"];
+          'application/json': components['schemas']['ImageDTO'];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Delete Image 
+   * Delete Image
    * @description Deletes an image
    */
   delete_image: {
@@ -6888,19 +7501,19 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": unknown;
+          'application/json': unknown;
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Update Image 
+   * Update Image
    * @description Updates an image
    */
   update_image: {
@@ -6912,26 +7525,26 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["ImageRecordChanges"];
+        'application/json': components['schemas']['ImageRecordChanges'];
       };
     };
     responses: {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["ImageDTO"];
+          'application/json': components['schemas']['ImageDTO'];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Clear Intermediates 
+   * Clear Intermediates
    * @description Clears all intermediates
    */
   clear_intermediates: {
@@ -6939,13 +7552,13 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": unknown;
+          'application/json': unknown;
         };
       };
     };
   };
   /**
-   * Get Image Metadata 
+   * Get Image Metadata
    * @description Gets an image's metadata
    */
   get_image_metadata: {
@@ -6959,19 +7572,19 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["ImageMetadata"];
+          'application/json': components['schemas']['ImageMetadata'];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Get Image Full 
+   * Get Image Full
    * @description Gets a full-resolution image file
    */
   get_image_full: {
@@ -6985,7 +7598,7 @@ export type operations = {
       /** @description Return the full-resolution image */
       200: {
         content: {
-          "image/png": unknown;
+          'image/png': unknown;
         };
       };
       /** @description Image not found */
@@ -6993,13 +7606,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Get Image Thumbnail 
+   * Get Image Thumbnail
    * @description Gets a thumbnail image file
    */
   get_image_thumbnail: {
@@ -7013,7 +7626,7 @@ export type operations = {
       /** @description Return the image thumbnail */
       200: {
         content: {
-          "image/webp": unknown;
+          'image/webp': unknown;
         };
       };
       /** @description Image not found */
@@ -7021,13 +7634,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Get Image Urls 
+   * Get Image Urls
    * @description Gets an image and thumbnail URL
    */
   get_image_urls: {
@@ -7041,28 +7654,28 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["ImageUrlsDTO"];
+          'application/json': components['schemas']['ImageUrlsDTO'];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * List Image Dtos 
+   * List Image Dtos
    * @description Gets a list of image DTOs
    */
   list_image_dtos: {
     parameters: {
       query?: {
         /** @description The origin of images to list. */
-        image_origin?: components["schemas"]["ResourceOrigin"];
+        image_origin?: components['schemas']['ResourceOrigin'];
         /** @description The categories of image to include. */
-        categories?: (components["schemas"]["ImageCategory"])[];
+        categories?: components['schemas']['ImageCategory'][];
         /** @description Whether to list intermediate images. */
         is_intermediate?: boolean;
         /** @description The board id to filter by. Use 'none' to find images without a board. */
@@ -7077,13 +7690,13 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["OffsetPaginatedResults_ImageDTO_"];
+          'application/json': components['schemas']['OffsetPaginatedResults_ImageDTO_'];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
@@ -7092,26 +7705,26 @@ export type operations = {
   delete_images_from_list: {
     requestBody: {
       content: {
-        "application/json": components["schemas"]["Body_delete_images_from_list"];
+        'application/json': components['schemas']['Body_delete_images_from_list'];
       };
     };
     responses: {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["DeleteImagesFromListResult"];
+          'application/json': components['schemas']['DeleteImagesFromListResult'];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * List Boards 
+   * List Boards
    * @description Gets a list of boards
    */
   list_boards: {
@@ -7129,19 +7742,21 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["OffsetPaginatedResults_BoardDTO_"] | (components["schemas"]["BoardDTO"])[];
+          'application/json':
+            | components['schemas']['OffsetPaginatedResults_BoardDTO_']
+            | components['schemas']['BoardDTO'][];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Create Board 
+   * Create Board
    * @description Creates a board
    */
   create_board: {
@@ -7155,19 +7770,19 @@ export type operations = {
       /** @description The board was created successfully */
       201: {
         content: {
-          "application/json": components["schemas"]["BoardDTO"];
+          'application/json': components['schemas']['BoardDTO'];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Get Board 
+   * Get Board
    * @description Gets a board
    */
   get_board: {
@@ -7181,19 +7796,19 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["BoardDTO"];
+          'application/json': components['schemas']['BoardDTO'];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Delete Board 
+   * Delete Board
    * @description Deletes a board
    */
   delete_board: {
@@ -7211,19 +7826,19 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["DeleteBoardResult"];
+          'application/json': components['schemas']['DeleteBoardResult'];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Update Board 
+   * Update Board
    * @description Updates a board
    */
   update_board: {
@@ -7235,26 +7850,26 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BoardChanges"];
+        'application/json': components['schemas']['BoardChanges'];
       };
     };
     responses: {
       /** @description The board was updated successfully */
       201: {
         content: {
-          "application/json": components["schemas"]["BoardDTO"];
+          'application/json': components['schemas']['BoardDTO'];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * List All Board Image Names 
+   * List All Board Image Names
    * @description Gets a list of images for a board
    */
   list_all_board_image_names: {
@@ -7268,113 +7883,113 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": (string)[];
+          'application/json': string[];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Add Image To Board 
+   * Add Image To Board
    * @description Creates a board_image
    */
   add_image_to_board: {
     requestBody: {
       content: {
-        "application/json": components["schemas"]["Body_add_image_to_board"];
+        'application/json': components['schemas']['Body_add_image_to_board'];
       };
     };
     responses: {
       /** @description The image was added to a board successfully */
       201: {
         content: {
-          "application/json": unknown;
+          'application/json': unknown;
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Remove Image From Board 
+   * Remove Image From Board
    * @description Removes an image from its board, if it had one
    */
   remove_image_from_board: {
     requestBody: {
       content: {
-        "application/json": components["schemas"]["Body_remove_image_from_board"];
+        'application/json': components['schemas']['Body_remove_image_from_board'];
       };
     };
     responses: {
       /** @description The image was removed from the board successfully */
       201: {
         content: {
-          "application/json": unknown;
+          'application/json': unknown;
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Add Images To Board 
+   * Add Images To Board
    * @description Adds a list of images to a board
    */
   add_images_to_board: {
     requestBody: {
       content: {
-        "application/json": components["schemas"]["Body_add_images_to_board"];
+        'application/json': components['schemas']['Body_add_images_to_board'];
       };
     };
     responses: {
       /** @description Images were added to board successfully */
       201: {
         content: {
-          "application/json": components["schemas"]["AddImagesToBoardResult"];
+          'application/json': components['schemas']['AddImagesToBoardResult'];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
   };
   /**
-   * Remove Images From Board 
+   * Remove Images From Board
    * @description Removes a list of images from their board, if they had one
    */
   remove_images_from_board: {
     requestBody: {
       content: {
-        "application/json": components["schemas"]["Body_remove_images_from_board"];
+        'application/json': components['schemas']['Body_remove_images_from_board'];
       };
     };
     responses: {
       /** @description Images were removed from board successfully */
       201: {
         content: {
-          "application/json": components["schemas"]["RemoveImagesFromBoardResult"];
+          'application/json': components['schemas']['RemoveImagesFromBoardResult'];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };
@@ -7385,7 +8000,7 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["AppVersion"];
+          'application/json': components['schemas']['AppVersion'];
         };
       };
     };
@@ -7396,13 +8011,13 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["AppConfig"];
+          'application/json': components['schemas']['AppConfig'];
         };
       };
     };
   };
   /**
-   * Get Log Level 
+   * Get Log Level
    * @description Returns the log level
    */
   get_log_level: {
@@ -7410,32 +8025,32 @@ export type operations = {
       /** @description The operation was successful */
       200: {
         content: {
-          "application/json": components["schemas"]["LogLevel"];
+          'application/json': components['schemas']['LogLevel'];
         };
       };
     };
   };
   /**
-   * Set Log Level 
+   * Set Log Level
    * @description Sets the log verbosity level
    */
   set_log_level: {
     requestBody: {
       content: {
-        "application/json": components["schemas"]["LogLevel"];
+        'application/json': components['schemas']['LogLevel'];
       };
     };
     responses: {
       /** @description The operation was successful */
       200: {
         content: {
-          "application/json": components["schemas"]["LogLevel"];
+          'application/json': components['schemas']['LogLevel'];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          "application/json": components["schemas"]["HTTPValidationError"];
+          'application/json': components['schemas']['HTTPValidationError'];
         };
       };
     };

From 0a71d6baa16a929484ace8eae6356269058f708e Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Fri, 11 Aug 2023 14:41:48 -0400
Subject: [PATCH 243/287] (ui) update cache to render pinned images alongside
 unpinned correctly, as well as changes in pinnedness

---
 .../SingleSelectionMenuItems.tsx              |  8 +-
 .../web/src/services/api/endpoints/images.ts  | 92 +++++++++++++++++--
 .../frontend/web/src/services/api/util.ts     | 31 +++++--
 3 files changed, 108 insertions(+), 23 deletions(-)

diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
index f6c5a16f0a..b24146c798 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
@@ -134,12 +134,12 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
   }, [copyImageToClipboard, imageDTO.image_url]);
 
   const handlePinImage = useCallback(() => {
-    togglePin({ imageName: imageDTO.image_name, pinned: true });
-  }, [togglePin, imageDTO.image_name]);
+    togglePin({ imageDTO, pinned: true });
+  }, [togglePin, imageDTO]);
 
   const handleUnpinImage = useCallback(() => {
-    togglePin({ imageName: imageDTO.image_name, pinned: false });
-  }, [togglePin, imageDTO.image_name]);
+    togglePin({ imageDTO, pinned: false });
+  }, [togglePin, imageDTO]);
 
   return (
     <>
diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index e9d26c40d8..9320e7a137 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -392,23 +392,28 @@ export const imagesApi = api.injectEndpoints({
      */
     changeImagePinned: build.mutation<
       ImageDTO,
-      { imageName: string; pinned: boolean }
+      { imageDTO: ImageDTO; pinned: boolean }
     >({
-      query: ({ imageName, pinned }) => ({
-        url: `images/i/${imageName}`,
+      query: ({ imageDTO, pinned }) => ({
+        url: `images/i/${imageDTO.image_name}`,
         method: 'PATCH',
         body: { pinned },
       }),
-      // invalidatesTags: (result, error, { imageDTO }) => [
-      //   { type: 'BoardImagesTotal', id: imageDTO.board_id ?? 'none' },
-      //   { type: 'BoardAssetsTotal', id: imageDTO.board_id ?? 'none' },
-      // ],
+      invalidatesTags: (result, error, { imageDTO }) => [
+        {
+          type: 'ImageList',
+          id: getListImagesUrl({
+            board_id: imageDTO.board_id,
+            categories: IMAGE_CATEGORIES,
+          }),
+        },
+      ],
       async onQueryStarted(
-        { imageName, pinned },
+        { imageDTO, pinned },
         { dispatch, queryFulfilled, getState }
       ) {
         /**
-         * Cache changes for `changeImageSessionId`:
+         * Cache changes for `changeImagePinned`:
          * - *update* getImageDTO
          */
 
@@ -420,7 +425,7 @@ export const imagesApi = api.injectEndpoints({
           dispatch(
             imagesApi.util.updateQueryData(
               'getImageDTO',
-              imageName,
+              imageDTO.image_name,
               (draft) => {
                 Object.assign(draft, { pinned });
               }
@@ -428,6 +433,73 @@ export const imagesApi = api.injectEndpoints({
           )
         );
 
+        const categories = getCategories(imageDTO);
+
+        const queryArgs = {
+          board_id: imageDTO.board_id ?? 'none',
+          categories,
+        };
+
+        const currentCache = imagesApi.endpoints.listImages.select(queryArgs)(
+          getState()
+        );
+
+        const { data: total } = IMAGE_CATEGORIES.includes(
+          imageDTO.image_category
+        )
+          ? boardsApi.endpoints.getBoardImagesTotal.select(
+            imageDTO.board_id ?? 'none'
+          )(getState())
+          : boardsApi.endpoints.getBoardAssetsTotal.select(
+            imageDTO.board_id ?? 'none'
+          )(getState());
+
+        // IF it eligible for insertion into existing $cache
+        // "eligible" means either:
+        // - The cache is fully populated, with all images in the db cached
+        //    OR
+        // - The image's `created_at` is within the range of the cached images within that pinned state
+
+        const updatedImage: ImageDTO = { ...imageDTO, pinned }
+
+        const isCacheFullyPopulated =
+          currentCache.data && currentCache.data.ids.length >= (total ?? 0);
+
+        const isInDateRangeForPinnedState = getIsImageInDateRange(
+          currentCache.data,
+          updatedImage
+        );
+
+        if (!isInDateRangeForPinnedState) {
+          // if newly pinned or unpinned image is not in date range for its new state, remove from cache
+          patches.push(
+            dispatch(
+              imagesApi.util.updateQueryData(
+                'listImages',
+                queryArgs,
+                (draft) => {
+                  imagesAdapter.removeOne(draft, updatedImage.image_name);
+                }
+              )
+            )
+          );
+        }
+
+        if (isCacheFullyPopulated || isInDateRangeForPinnedState) {
+          // *upsert* to $cache
+          patches.push(
+            dispatch(
+              imagesApi.util.updateQueryData(
+                'listImages',
+                queryArgs,
+                (draft) => {
+                  imagesAdapter.upsertOne(draft, updatedImage);
+                }
+              )
+            )
+          );
+        }
+
         try {
           await queryFulfilled;
         } catch {
diff --git a/invokeai/frontend/web/src/services/api/util.ts b/invokeai/frontend/web/src/services/api/util.ts
index 20c9baedbb..10c4557eec 100644
--- a/invokeai/frontend/web/src/services/api/util.ts
+++ b/invokeai/frontend/web/src/services/api/util.ts
@@ -14,22 +14,26 @@ export const getIsImageInDateRange = (
   if (!data) {
     return false;
   }
-  const cacheImageDTOS = imagesSelectors.selectAll(data);
 
-  if (cacheImageDTOS.length > 1) {
-    // Images are sorted by `created_at` DESC
-    // check if the image is newer than the oldest image in the cache
+  const totalCachedImageDtos = imagesSelectors.selectAll(data);
+
+  if (totalCachedImageDtos.length <= 1) {
+    return true;
+  }
+
+  const cacheImageDTOSForPinnedState = totalCachedImageDtos.filter((image) => image.pinned === imageDTO.pinned);
+
+  if (cacheImageDTOSForPinnedState.length > 1) {
+    // Images are sorted by `pinned` DESC and then `created_at` DESC
+    // check if the image is newer than the oldest image in the cache for either the pinned group or unpinned group
     const createdDate = new Date(imageDTO.created_at);
-    const oldestImage = cacheImageDTOS[cacheImageDTOS.length - 1];
+    const oldestImage = cacheImageDTOSForPinnedState[cacheImageDTOSForPinnedState.length - 1];
     if (!oldestImage) {
       // satisfy TS gods, we already confirmed the array has more than one image
       return false;
     }
     const oldestDate = new Date(oldestImage.created_at);
     return createdDate >= oldestDate;
-  } else if ([0, 1].includes(cacheImageDTOS.length)) {
-    // if there are only 1 or 0 images in the cache, we consider the image to be in the date range
-    return true;
   }
   return false;
 };
@@ -45,7 +49,16 @@ export const getCategories = (imageDTO: ImageDTO) => {
 // with some other store of data. We will use the RTK Query cache as that store.
 export const imagesAdapter = createEntityAdapter<ImageDTO>({
   selectId: (image) => image.image_name,
-  sortComparer: (a, b) => dateComparator(b.updated_at, a.updated_at),
+  sortComparer: (a, b) => {
+    // Compare pinned images first
+    if (a.pinned && !b.pinned) {
+      return -1;
+    }
+    if (!a.pinned && b.pinned) {
+      return 1;
+    }
+    return dateComparator(b.created_at, a.created_at)
+  },
 });
 
 // Create selectors for the adapter.

From 767a6127460448ff5278e37781e6e2d18ae9c65a Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Fri, 11 Aug 2023 16:14:47 -0400
Subject: [PATCH 244/287] (ui) WIP trying to get all cache scenarios working
 smoothly, fix assets

---
 .../SingleSelectionMenuItems.tsx              |  9 +++--
 .../components/ImageGrid/GalleryImage.tsx     | 29 ++++++++++----
 .../web/src/services/api/endpoints/images.ts  | 40 +++++++------------
 .../frontend/web/src/services/api/util.ts     | 36 ++++++++++++-----
 4 files changed, 67 insertions(+), 47 deletions(-)

diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
index b24146c798..e97affb322 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
@@ -36,7 +36,7 @@ import {
 import { ImageDTO } from 'services/api/types';
 import { useDebounce } from 'use-debounce';
 import { sentImageToCanvas, sentImageToImg2Img } from '../../store/actions';
-import { BsPinAngle, BsPinAngleFill } from 'react-icons/bs';
+import { BsBookmarkStar, BsFillBookmarkStarFill } from 'react-icons/bs';
 
 type SingleSelectionMenuItemsProps = {
   imageDTO: ImageDTO;
@@ -211,11 +211,14 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
         Change Board
       </MenuItem>
       {imageDTO.pinned ? (
-        <MenuItem icon={<BsPinAngle />} onClickCapture={handleUnpinImage}>
+        <MenuItem icon={<BsBookmarkStar />} onClickCapture={handleUnpinImage}>
           Unpin Image
         </MenuItem>
       ) : (
-        <MenuItem icon={<BsPinAngleFill />} onClickCapture={handlePinImage}>
+        <MenuItem
+          icon={<BsFillBookmarkStarFill />}
+          onClickCapture={handlePinImage}
+        >
           Pin Image
         </MenuItem>
       )}
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
index 97f8199aed..aba5181882 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
@@ -2,16 +2,19 @@ import { Box, Flex } from '@chakra-ui/react';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIDndImage from 'common/components/IAIDndImage';
 import IAIFillSkeleton from 'common/components/IAIFillSkeleton';
-import { useMultiselect } from 'features/gallery/hooks/useMultiselect.ts';
 import { imagesToDeleteSelected } from 'features/deleteImageModal/store/slice';
-import { MouseEvent, memo, useCallback, useMemo } from 'react';
-import { FaTrash } from 'react-icons/fa';
-import { useGetImageDTOQuery } from 'services/api/endpoints/images';
 import {
   ImageDTOsDraggableData,
   ImageDraggableData,
   TypesafeDraggableData,
 } from 'features/dnd/types';
+import { useMultiselect } from 'features/gallery/hooks/useMultiselect.ts';
+import { MouseEvent, memo, useCallback, useMemo } from 'react';
+import { BsBookmarkStar, BsFillBookmarkStarFill } from 'react-icons/bs';
+import {
+  useChangeImagePinnedMutation,
+  useGetImageDTOQuery,
+} from 'services/api/endpoints/images';
 
 interface HoverableImageProps {
   imageName: string;
@@ -59,6 +62,14 @@ const GalleryImage = (props: HoverableImageProps) => {
     }
   }, [imageDTO, selection, selectionCount]);
 
+  const [togglePin] = useChangeImagePinnedMutation();
+
+  const togglePinnedState = useCallback(() => {
+    if (imageDTO) {
+      togglePin({ imageDTO, pinned: !imageDTO.pinned });
+    }
+  }, [togglePin, imageDTO]);
+
   if (!imageDTO) {
     return <IAIFillSkeleton />;
   }
@@ -80,15 +91,17 @@ const GalleryImage = (props: HoverableImageProps) => {
           draggableData={draggableData}
           isSelected={isSelected}
           minSize={0}
-          onClickReset={handleDelete}
+          onClickReset={togglePinnedState}
           imageSx={{ w: 'full', h: 'full' }}
           isDropDisabled={true}
           isUploadDisabled={true}
           thumbnail={true}
           withHoverOverlay
-          resetIcon={<FaTrash />}
-          resetTooltip="Delete image"
-          withResetIcon={shouldShowDeleteButton} // removed bc it's too easy to accidentally delete images
+          resetIcon={
+            imageDTO.pinned ? <BsFillBookmarkStarFill /> : <BsBookmarkStar />
+          }
+          resetTooltip="Pin image"
+          withResetIcon={true}
         />
       </Flex>
     </Box>
diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index 9320e7a137..ef99d735c2 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -399,15 +399,18 @@ export const imagesApi = api.injectEndpoints({
         method: 'PATCH',
         body: { pinned },
       }),
-      invalidatesTags: (result, error, { imageDTO }) => [
-        {
-          type: 'ImageList',
-          id: getListImagesUrl({
-            board_id: imageDTO.board_id,
-            categories: IMAGE_CATEGORIES,
-          }),
-        },
-      ],
+      invalidatesTags: (result, error, { imageDTO }) => {
+        const categories = getCategories(imageDTO);
+        return [
+          {
+            type: 'ImageList',
+            id: getListImagesUrl({
+              board_id: imageDTO.board_id,
+              categories,
+            }),
+          },
+        ]
+      },
       async onQueryStarted(
         { imageDTO, pinned },
         { dispatch, queryFulfilled, getState }
@@ -465,27 +468,14 @@ export const imagesApi = api.injectEndpoints({
         const isCacheFullyPopulated =
           currentCache.data && currentCache.data.ids.length >= (total ?? 0);
 
-        const isInDateRangeForPinnedState = getIsImageInDateRange(
+        const isInDateRange = getIsImageInDateRange(
           currentCache.data,
           updatedImage
         );
 
-        if (!isInDateRangeForPinnedState) {
-          // if newly pinned or unpinned image is not in date range for its new state, remove from cache
-          patches.push(
-            dispatch(
-              imagesApi.util.updateQueryData(
-                'listImages',
-                queryArgs,
-                (draft) => {
-                  imagesAdapter.removeOne(draft, updatedImage.image_name);
-                }
-              )
-            )
-          );
-        }
+        // should we remove images from cache if _not_ in date range? ie you are showing 100 of 101 pinned images and you unpin one. technically it should disappear from list.
 
-        if (isCacheFullyPopulated || isInDateRangeForPinnedState) {
+        if (isCacheFullyPopulated || isInDateRange) {
           // *upsert* to $cache
           patches.push(
             dispatch(
diff --git a/invokeai/frontend/web/src/services/api/util.ts b/invokeai/frontend/web/src/services/api/util.ts
index 10c4557eec..a97e96f312 100644
--- a/invokeai/frontend/web/src/services/api/util.ts
+++ b/invokeai/frontend/web/src/services/api/util.ts
@@ -21,21 +21,35 @@ export const getIsImageInDateRange = (
     return true;
   }
 
-  const cacheImageDTOSForPinnedState = totalCachedImageDtos.filter((image) => image.pinned === imageDTO.pinned);
+  const cachedPinnedImages = [];
+  const cachedUnpinnedImages = [];
 
-  if (cacheImageDTOSForPinnedState.length > 1) {
-    // Images are sorted by `pinned` DESC and then `created_at` DESC
-    // check if the image is newer than the oldest image in the cache for either the pinned group or unpinned group
+  for (let index = 0; index < totalCachedImageDtos.length; index++) {
+    const image = totalCachedImageDtos[index];
+    if (image?.pinned) cachedPinnedImages.push(image)
+    if (!image?.pinned) cachedUnpinnedImages.push(image)
+  }
+
+  const lastPinnedImage = cachedPinnedImages[cachedPinnedImages.length - 1];
+  const lastUnpinnedImage = cachedUnpinnedImages[cachedUnpinnedImages.length - 1];
+
+  if (!lastPinnedImage || !lastUnpinnedImage) {
+    // satisfy TS gods, we already confirmed the array has more than one image
+    return false;
+  }
+
+  if (imageDTO.pinned) {
+    // if pinning or already pinned, want to look in list of pinned images 
     const createdDate = new Date(imageDTO.created_at);
-    const oldestImage = cacheImageDTOSForPinnedState[cacheImageDTOSForPinnedState.length - 1];
-    if (!oldestImage) {
-      // satisfy TS gods, we already confirmed the array has more than one image
-      return false;
-    }
-    const oldestDate = new Date(oldestImage.created_at);
+    const oldestDate = new Date(lastPinnedImage.created_at);
+    return createdDate >= oldestDate;
+  } else {
+    // if unpinning or already unpinned, want to look in list of unpinned images 
+    const createdDate = new Date(imageDTO.created_at);
+    const oldestDate = new Date(lastUnpinnedImage.created_at);
     return createdDate >= oldestDate;
   }
-  return false;
+
 };
 
 export const getCategories = (imageDTO: ImageDTO) => {

From a512fdc0f64fe54e8f7ebaa313f7eae14cd6c037 Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Mon, 14 Aug 2023 14:36:14 -0400
Subject: [PATCH 245/287] update IAIDndImage to use children for icons, add UI
 for shift+delete to delete images from gallery

---
 .../web/src/common/components/IAIDndImage.tsx | 70 +++++--------------
 .../src/common/components/IAIDndImageIcon.tsx | 46 ++++++++++++
 .../components/ControlNetImagePreview.tsx     | 38 +++++++---
 .../components/GallerySettingsPopover.tsx     | 25 +------
 .../SingleSelectionMenuItems.tsx              | 13 ++--
 .../components/ImageGrid/GalleryImage.tsx     | 65 ++++++++++++++---
 .../components/ImageGrid/GalleryImageGrid.tsx | 22 +++++-
 .../fields/fieldTypes/ImageInputField.tsx     |  5 +-
 8 files changed, 177 insertions(+), 107 deletions(-)
 create mode 100644 invokeai/frontend/web/src/common/components/IAIDndImageIcon.tsx

diff --git a/invokeai/frontend/web/src/common/components/IAIDndImage.tsx b/invokeai/frontend/web/src/common/components/IAIDndImage.tsx
index defe600b78..b7b2e35342 100644
--- a/invokeai/frontend/web/src/common/components/IAIDndImage.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIDndImage.tsx
@@ -1,22 +1,10 @@
-import {
-  ChakraProps,
-  Flex,
-  Icon,
-  Image,
-  useColorMode,
-  useColorModeValue,
-} from '@chakra-ui/react';
-import IAIIconButton from 'common/components/IAIIconButton';
+import { ChakraProps, Flex, Icon, Image, useColorMode } from '@chakra-ui/react';
 import {
   IAILoadingImageFallback,
   IAINoContentFallback,
 } from 'common/components/IAIImageFallback';
 import ImageMetadataOverlay from 'common/components/ImageMetadataOverlay';
 import { useImageUploadButton } from 'common/hooks/useImageUploadButton';
-import {
-  TypesafeDraggableData,
-  TypesafeDroppableData,
-} from 'features/dnd/types';
 import ImageContextMenu from 'features/gallery/components/ImageContextMenu/ImageContextMenu';
 import {
   MouseEvent,
@@ -26,22 +14,22 @@ import {
   useCallback,
   useState,
 } from 'react';
-import { FaImage, FaUndo, FaUpload } from 'react-icons/fa';
+import { FaImage, FaUpload } from 'react-icons/fa';
 import { ImageDTO, PostUploadAction } from 'services/api/types';
 import { mode } from 'theme/util/mode';
 import IAIDraggable from './IAIDraggable';
 import IAIDroppable from './IAIDroppable';
 import SelectionOverlay from './SelectionOverlay';
+import {
+  TypesafeDraggableData,
+  TypesafeDroppableData,
+} from 'features/dnd/types';
 
 type IAIDndImageProps = {
   imageDTO: ImageDTO | undefined;
   onError?: (event: SyntheticEvent<HTMLImageElement>) => void;
   onLoad?: (event: SyntheticEvent<HTMLImageElement>) => void;
   onClick?: (event: MouseEvent<HTMLDivElement>) => void;
-  onClickReset?: (event: MouseEvent<HTMLButtonElement>) => void;
-  withResetIcon?: boolean;
-  resetIcon?: ReactElement;
-  resetTooltip?: string;
   withMetadataOverlay?: boolean;
   isDragDisabled?: boolean;
   isDropDisabled?: boolean;
@@ -58,15 +46,16 @@ type IAIDndImageProps = {
   noContentFallback?: ReactElement;
   useThumbailFallback?: boolean;
   withHoverOverlay?: boolean;
+  children?: JSX.Element;
+  onMouseOver?: () => void;
+  onMouseOut?: () => void;
 };
 
 const IAIDndImage = (props: IAIDndImageProps) => {
   const {
     imageDTO,
-    onClickReset,
     onError,
     onClick,
-    withResetIcon = false,
     withMetadataOverlay = false,
     isDropDisabled = false,
     isDragDisabled = false,
@@ -80,32 +69,30 @@ const IAIDndImage = (props: IAIDndImageProps) => {
     dropLabel,
     isSelected = false,
     thumbnail = false,
-    resetTooltip = 'Reset',
-    resetIcon = <FaUndo />,
     noContentFallback = <IAINoContentFallback icon={FaImage} />,
     useThumbailFallback,
     withHoverOverlay = false,
+    children,
+    onMouseOver,
+    onMouseOut,
   } = props;
 
   const { colorMode } = useColorMode();
   const [isHovered, setIsHovered] = useState(false);
   const handleMouseOver = useCallback(() => {
+    if (onMouseOver) onMouseOver();
     setIsHovered(true);
-  }, []);
+  }, [onMouseOver]);
   const handleMouseOut = useCallback(() => {
+    if (onMouseOut) onMouseOut();
     setIsHovered(false);
-  }, []);
+  }, [onMouseOut]);
 
   const { getUploadButtonProps, getUploadInputProps } = useImageUploadButton({
     postUploadAction,
     isDisabled: isUploadDisabled,
   });
 
-  const resetIconShadow = useColorModeValue(
-    `drop-shadow(0px 0px 0.1rem var(--invokeai-colors-base-600))`,
-    `drop-shadow(0px 0px 0.1rem var(--invokeai-colors-base-800))`
-  );
-
   const uploadButtonStyles = isUploadDisabled
     ? {}
     : {
@@ -212,30 +199,6 @@ const IAIDndImage = (props: IAIDndImageProps) => {
               onClick={onClick}
             />
           )}
-          {onClickReset && withResetIcon && imageDTO && (
-            <IAIIconButton
-              onClick={onClickReset}
-              aria-label={resetTooltip}
-              tooltip={resetTooltip}
-              icon={resetIcon}
-              size="sm"
-              variant="link"
-              sx={{
-                position: 'absolute',
-                top: 1,
-                insetInlineEnd: 1,
-                p: 0,
-                minW: 0,
-                svg: {
-                  transitionProperty: 'common',
-                  transitionDuration: 'normal',
-                  fill: 'base.100',
-                  _hover: { fill: 'base.50' },
-                  filter: resetIconShadow,
-                },
-              }}
-            />
-          )}
           {!isDropDisabled && (
             <IAIDroppable
               data={droppableData}
@@ -243,6 +206,7 @@ const IAIDndImage = (props: IAIDndImageProps) => {
               dropLabel={dropLabel}
             />
           )}
+          {children}
         </Flex>
       )}
     </ImageContextMenu>
diff --git a/invokeai/frontend/web/src/common/components/IAIDndImageIcon.tsx b/invokeai/frontend/web/src/common/components/IAIDndImageIcon.tsx
new file mode 100644
index 0000000000..2e16377175
--- /dev/null
+++ b/invokeai/frontend/web/src/common/components/IAIDndImageIcon.tsx
@@ -0,0 +1,46 @@
+import { JSXElementConstructor, ReactElement, memo, MouseEvent } from 'react';
+import IAIIconButton from './IAIIconButton';
+import { SystemStyleObject, useColorModeValue } from '@chakra-ui/react';
+
+type Props = {
+  onClick: (event: MouseEvent<HTMLButtonElement>) => void;
+  tooltip: string;
+  icon?: ReactElement<any, string | JSXElementConstructor<any>>;
+  styleOverrides?: SystemStyleObject;
+};
+
+const IAIDndImageIcon = (props: Props) => {
+  const { onClick, tooltip, icon, styleOverrides } = props;
+
+  const resetIconShadow = useColorModeValue(
+    `drop-shadow(0px 0px 0.1rem var(--invokeai-colors-base-600))`,
+    `drop-shadow(0px 0px 0.1rem var(--invokeai-colors-base-800))`
+  );
+  return (
+    <IAIIconButton
+      onClick={onClick}
+      aria-label={tooltip}
+      tooltip={tooltip}
+      icon={icon}
+      size="sm"
+      variant="link"
+      sx={{
+        position: 'absolute',
+        top: 1,
+        insetInlineEnd: 1,
+        p: 0,
+        minW: 0,
+        svg: {
+          transitionProperty: 'common',
+          transitionDuration: 'normal',
+          fill: 'base.100',
+          _hover: { fill: 'base.50' },
+          filter: resetIconShadow,
+        },
+        ...styleOverrides,
+      }}
+    />
+  );
+};
+
+export default memo(IAIDndImageIcon);
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx
index 4fffb82275..901a86fd4e 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx
@@ -1,4 +1,10 @@
-import { Box, Flex, Spinner, SystemStyleObject } from '@chakra-ui/react';
+import {
+  Box,
+  Flex,
+  Spinner,
+  SystemStyleObject,
+  useColorModeValue,
+} from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { skipToken } from '@reduxjs/toolkit/dist/query';
 import {
@@ -16,6 +22,8 @@ import {
   ControlNetConfig,
   controlNetImageChanged,
 } from '../store/controlNetSlice';
+import { FaUndo } from 'react-icons/fa';
+import IAIDndImageIcon from '../../../common/components/IAIDndImageIcon';
 
 type Props = {
   controlNet: ControlNetConfig;
@@ -93,6 +101,11 @@ const ControlNetImagePreview = (props: Props) => {
     [controlNetId]
   );
 
+  const resetIconShadow = useColorModeValue(
+    `drop-shadow(0px 0px 0.1rem var(--invokeai-colors-base-600))`,
+    `drop-shadow(0px 0px 0.1rem var(--invokeai-colors-base-800))`
+  );
+
   const shouldShowProcessedImage =
     controlImage &&
     processedControlImage &&
@@ -119,11 +132,15 @@ const ControlNetImagePreview = (props: Props) => {
         droppableData={droppableData}
         imageDTO={controlImage}
         isDropDisabled={shouldShowProcessedImage || !isEnabled}
-        onClickReset={handleResetControlImage}
         postUploadAction={postUploadAction}
-        resetTooltip="Reset Control Image"
-        withResetIcon={Boolean(controlImage)}
-      />
+      >
+        <IAIDndImageIcon
+          onClick={handleResetControlImage}
+          icon={controlImage ? <FaUndo /> : undefined}
+          tooltip="Reset Control Image"
+        />
+      </IAIDndImage>
+
       <Box
         sx={{
           position: 'absolute',
@@ -143,10 +160,13 @@ const ControlNetImagePreview = (props: Props) => {
           imageDTO={processedControlImage}
           isUploadDisabled={true}
           isDropDisabled={!isEnabled}
-          onClickReset={handleResetControlImage}
-          resetTooltip="Reset Control Image"
-          withResetIcon={Boolean(controlImage)}
-        />
+        >
+          <IAIDndImageIcon
+            onClick={handleResetControlImage}
+            icon={controlImage ? <FaUndo /> : undefined}
+            tooltip="Reset Control Image"
+          />
+        </IAIDndImage>
       </Box>
       {pendingControlImages.includes(controlNetId) && (
         <Flex
diff --git a/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx b/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx
index 5c32cc788e..23cfdcc5fd 100644
--- a/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/GallerySettingsPopover.tsx
@@ -11,7 +11,6 @@ import {
   autoAssignBoardOnClickChanged,
   setGalleryImageMinimumWidth,
   shouldAutoSwitchChanged,
-  shouldShowDeleteButtonChanged,
 } from 'features/gallery/store/gallerySlice';
 import { ChangeEvent, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
@@ -26,14 +25,12 @@ const selector = createSelector(
       galleryImageMinimumWidth,
       shouldAutoSwitch,
       autoAssignBoardOnClick,
-      shouldShowDeleteButton,
     } = state.gallery;
 
     return {
       galleryImageMinimumWidth,
       shouldAutoSwitch,
       autoAssignBoardOnClick,
-      shouldShowDeleteButton,
     };
   },
   defaultSelectorOptions
@@ -43,12 +40,8 @@ const GallerySettingsPopover = () => {
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
 
-  const {
-    galleryImageMinimumWidth,
-    shouldAutoSwitch,
-    autoAssignBoardOnClick,
-    shouldShowDeleteButton,
-  } = useAppSelector(selector);
+  const { galleryImageMinimumWidth, shouldAutoSwitch, autoAssignBoardOnClick } =
+    useAppSelector(selector);
 
   const handleChangeGalleryImageMinimumWidth = useCallback(
     (v: number) => {
@@ -68,13 +61,6 @@ const GallerySettingsPopover = () => {
     [dispatch]
   );
 
-  const handleChangeShowDeleteButton = useCallback(
-    (e: ChangeEvent<HTMLInputElement>) => {
-      dispatch(shouldShowDeleteButtonChanged(e.target.checked));
-    },
-    [dispatch]
-  );
-
   return (
     <IAIPopover
       triggerComponent={
@@ -90,7 +76,7 @@ const GallerySettingsPopover = () => {
         <IAISlider
           value={galleryImageMinimumWidth}
           onChange={handleChangeGalleryImageMinimumWidth}
-          min={32}
+          min={45}
           max={256}
           hideTooltip={true}
           label={t('gallery.galleryImageSize')}
@@ -102,11 +88,6 @@ const GallerySettingsPopover = () => {
           isChecked={shouldAutoSwitch}
           onChange={handleChangeAutoSwitch}
         />
-        <IAISwitch
-          label="Show Delete Button"
-          isChecked={shouldShowDeleteButton}
-          onChange={handleChangeShowDeleteButton}
-        />
         <IAISimpleCheckbox
           label={t('gallery.autoAssignBoardOnClick')}
           isChecked={autoAssignBoardOnClick}
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
index e97affb322..cf87d670e3 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
@@ -36,7 +36,7 @@ import {
 import { ImageDTO } from 'services/api/types';
 import { useDebounce } from 'use-debounce';
 import { sentImageToCanvas, sentImageToImg2Img } from '../../store/actions';
-import { BsBookmarkStar, BsFillBookmarkStarFill } from 'react-icons/bs';
+import { MdStar, MdStarBorder } from 'react-icons/md';
 
 type SingleSelectionMenuItemsProps = {
   imageDTO: ImageDTO;
@@ -211,15 +211,12 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
         Change Board
       </MenuItem>
       {imageDTO.pinned ? (
-        <MenuItem icon={<BsBookmarkStar />} onClickCapture={handleUnpinImage}>
-          Unpin Image
+        <MenuItem icon={<MdStar />} onClickCapture={handleUnpinImage}>
+          Unstar Image
         </MenuItem>
       ) : (
-        <MenuItem
-          icon={<BsFillBookmarkStarFill />}
-          onClickCapture={handlePinImage}
-        >
-          Pin Image
+        <MenuItem icon={<MdStarBorder />} onClickCapture={handlePinImage}>
+          Star Image
         </MenuItem>
       )}
       <MenuItem
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
index aba5181882..9cd2c51a1b 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
@@ -1,4 +1,4 @@
-import { Box, Flex } from '@chakra-ui/react';
+import { Box, Flex, useColorModeValue } from '@chakra-ui/react';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIDndImage from 'common/components/IAIDndImage';
 import IAIFillSkeleton from 'common/components/IAIFillSkeleton';
@@ -9,12 +9,14 @@ import {
   TypesafeDraggableData,
 } from 'features/dnd/types';
 import { useMultiselect } from 'features/gallery/hooks/useMultiselect.ts';
-import { MouseEvent, memo, useCallback, useMemo } from 'react';
-import { BsBookmarkStar, BsFillBookmarkStarFill } from 'react-icons/bs';
+import { MouseEvent, memo, useCallback, useMemo, useState } from 'react';
+import { FaTrash } from 'react-icons/fa';
+import { MdStar, MdStarBorder } from 'react-icons/md';
 import {
   useChangeImagePinnedMutation,
   useGetImageDTOQuery,
 } from 'services/api/endpoints/images';
+import IAIDndImageIcon from '../../../../common/components/IAIDndImageIcon';
 
 interface HoverableImageProps {
   imageName: string;
@@ -70,6 +72,33 @@ const GalleryImage = (props: HoverableImageProps) => {
     }
   }, [togglePin, imageDTO]);
 
+  const [isHovered, setIsHovered] = useState(false);
+
+  const pinIcon = useMemo(() => {
+    if (imageDTO?.pinned) return <MdStar size="20" />;
+    if (!imageDTO?.pinned && isHovered) return <MdStarBorder size="20" />;
+  }, [imageDTO?.pinned, isHovered]);
+
+  const resetIconShadow = useColorModeValue(
+    `drop-shadow(0px 0px 0.1rem var(--invokeai-colors-base-600))`,
+    `drop-shadow(0px 0px 0.1rem var(--invokeai-colors-base-800))`
+  );
+
+  const iconButtonStyles = {
+    position: 'absolute',
+    top: 1,
+    insetInlineEnd: 1,
+    p: 0,
+    minW: 0,
+    svg: {
+      transitionProperty: 'common',
+      transitionDuration: 'normal',
+      fill: 'base.100',
+      _hover: { fill: 'base.50' },
+      filter: resetIconShadow,
+    },
+  };
+
   if (!imageDTO) {
     return <IAIFillSkeleton />;
   }
@@ -91,18 +120,34 @@ const GalleryImage = (props: HoverableImageProps) => {
           draggableData={draggableData}
           isSelected={isSelected}
           minSize={0}
-          onClickReset={togglePinnedState}
           imageSx={{ w: 'full', h: 'full' }}
           isDropDisabled={true}
           isUploadDisabled={true}
           thumbnail={true}
           withHoverOverlay
-          resetIcon={
-            imageDTO.pinned ? <BsFillBookmarkStarFill /> : <BsBookmarkStar />
-          }
-          resetTooltip="Pin image"
-          withResetIcon={true}
-        />
+          onMouseOver={() => setIsHovered(true)}
+          onMouseOut={() => setIsHovered(false)}
+        >
+          <>
+            <IAIDndImageIcon
+              onClick={togglePinnedState}
+              icon={pinIcon}
+              tooltip={imageDTO.pinned ? 'Unstar' : 'Star'}
+            />
+
+            {isHovered && shouldShowDeleteButton && (
+              <IAIDndImageIcon
+                onClick={handleDelete}
+                icon={<FaTrash />}
+                tooltip={'Delete'}
+                styleOverrides={{
+                  bottom: 1,
+                  top: 'auto',
+                }}
+              />
+            )}
+          </>
+        </IAIDndImage>
       </Flex>
     </Box>
   );
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx
index bacd5c38ad..8951fc050a 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx
@@ -1,5 +1,5 @@
 import { Box, Flex } from '@chakra-ui/react';
-import { useAppSelector } from 'app/store/storeHooks';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIButton from 'common/components/IAIButton';
 import { IAINoContentFallback } from 'common/components/IAIImageFallback';
 import { selectListImagesBaseQueryArgs } from 'features/gallery/store/gallerySelectors';
@@ -20,6 +20,8 @@ import { useBoardTotal } from 'services/api/hooks/useBoardTotal';
 import GalleryImage from './GalleryImage';
 import ImageGridItemContainer from './ImageGridItemContainer';
 import ImageGridListContainer from './ImageGridListContainer';
+import { useHotkeys } from 'react-hotkeys-hook';
+import { shouldShowDeleteButtonChanged } from '../../store/gallerySlice';
 
 const overlayScrollbarsConfig: UseOverlayScrollbarsParams = {
   defer: true,
@@ -36,6 +38,7 @@ const overlayScrollbarsConfig: UseOverlayScrollbarsParams = {
 
 const GalleryImageGrid = () => {
   const { t } = useTranslation();
+  const dispatch = useAppDispatch();
   const rootRef = useRef<HTMLDivElement>(null);
   const [scroller, setScroller] = useState<HTMLElement | null>(null);
   const [initialize, osInstance] = useOverlayScrollbars(
@@ -85,6 +88,23 @@ const GalleryImageGrid = () => {
     return () => osInstance()?.destroy();
   }, [scroller, initialize, osInstance]);
 
+  useHotkeys(
+    'shift',
+    () => {
+      dispatch(shouldShowDeleteButtonChanged(true));
+    },
+    [shouldShowDeleteButtonChanged]
+  );
+
+  useHotkeys(
+    'shift',
+    () => {
+      dispatch(shouldShowDeleteButtonChanged(false));
+    },
+    { keyup: true },
+    [shouldShowDeleteButtonChanged]
+  );
+
   if (!currentData) {
     return (
       <Flex
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageInputField.tsx
index a7305d889d..e5bb06c4c6 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageInputField.tsx
@@ -78,11 +78,8 @@ const ImageInputFieldComponent = (
         imageDTO={imageDTO}
         droppableData={droppableData}
         draggableData={draggableData}
-        onClickReset={handleReset}
-        withResetIcon
-        thumbnail
-        useThumbailFallback
         postUploadAction={postUploadAction}
+        useThumbailFallback
       />
     </Flex>
   );

From ee6a26a97df6784447fc2705c584a3188dea415a Mon Sep 17 00:00:00 2001
From: maryhipp <maryhipp@gmail.com>
Date: Mon, 14 Aug 2023 11:30:05 -0700
Subject: [PATCH 246/287] update list images endpoint to sort by pinnedness and
 then created_at

---
 invokeai/app/services/image_record_storage.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/app/services/image_record_storage.py b/invokeai/app/services/image_record_storage.py
index 21094f4e5c..d704a631a7 100644
--- a/invokeai/app/services/image_record_storage.py
+++ b/invokeai/app/services/image_record_storage.py
@@ -426,7 +426,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
                 query_params.append(board_id)
 
             query_pagination = """--sql
-            ORDER BY images.created_at DESC LIMIT ? OFFSET ?
+            ORDER BY images.pinned DESC, images.created_at DESC LIMIT ? OFFSET ?
             """
 
             # Final images query with pagination

From 029a95550e022f728f6d263b9967d439ead53bbf Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Tue, 15 Aug 2023 12:55:28 -0400
Subject: [PATCH 247/287] rename pin to star, add multiselect and remove single
 image update api

---
 .../MultipleSelectionMenuItems.tsx            |  39 ++-
 .../SingleSelectionMenuItems.tsx              |  24 +-
 .../components/ImageGrid/GalleryImage.tsx     |  53 ++-
 .../web/src/services/api/endpoints/images.ts  | 288 +++++++++++-----
 .../frontend/web/src/services/api/schema.d.ts | 316 ++++++++++--------
 .../frontend/web/src/services/api/util.ts     |  36 +-
 6 files changed, 456 insertions(+), 300 deletions(-)

diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
index 079fc43a4a..cead80f362 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
@@ -5,13 +5,21 @@ import {
   isModalOpenChanged,
 } from 'features/changeBoardModal/store/slice';
 import { imagesToDeleteSelected } from 'features/deleteImageModal/store/slice';
-import { useCallback } from 'react';
+import { useCallback, useMemo } from 'react';
 import { FaFolder, FaTrash } from 'react-icons/fa';
+import { MdStar, MdStarBorder } from 'react-icons/md';
+import {
+  useStarImagesMutation,
+  useUnstarImagesMutation,
+} from '../../../../services/api/endpoints/images';
 
 const MultipleSelectionMenuItems = () => {
   const dispatch = useAppDispatch();
   const selection = useAppSelector((state) => state.gallery.selection);
 
+  const [starImages] = useStarImagesMutation();
+  const [unstarImages] = useUnstarImagesMutation();
+
   const handleChangeBoard = useCallback(() => {
     dispatch(imagesToChangeSelected(selection));
     dispatch(isModalOpenChanged(true));
@@ -21,8 +29,37 @@ const MultipleSelectionMenuItems = () => {
     dispatch(imagesToDeleteSelected(selection));
   }, [dispatch, selection]);
 
+  const handleStarSelection = useCallback(() => {
+    starImages({ images: selection });
+  }, [starImages, selection]);
+
+  const handleUnstarSelection = useCallback(() => {
+    unstarImages({ images: selection });
+  }, [unstarImages, selection]);
+
+  const areAllStarred = useMemo(() => {
+    return selection.every((img) => img.starred);
+  }, [selection]);
+
+  const areAllUnstarred = useMemo(() => {
+    return selection.every((img) => !img.starred);
+  }, [selection]);
+
   return (
     <>
+      {areAllStarred && (
+        <MenuItem
+          icon={<MdStarBorder />}
+          onClickCapture={handleUnstarSelection}
+        >
+          Unstar All
+        </MenuItem>
+      )}
+      {areAllUnstarred && (
+        <MenuItem icon={<MdStar />} onClickCapture={handleStarSelection}>
+          Star All
+        </MenuItem>
+      )}
       <MenuItem icon={<FaFolder />} onClickCapture={handleChangeBoard}>
         Change Board
       </MenuItem>
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
index cf87d670e3..b6100ca358 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
@@ -30,8 +30,9 @@ import {
   FaTrash,
 } from 'react-icons/fa';
 import {
-  useChangeImagePinnedMutation,
   useGetImageMetadataQuery,
+  useStarImagesMutation,
+  useUnstarImagesMutation,
 } from 'services/api/endpoints/images';
 import { ImageDTO } from 'services/api/types';
 import { useDebounce } from 'use-debounce';
@@ -63,7 +64,8 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
       : debouncedMetadataQueryArg ?? skipToken
   );
 
-  const [togglePin] = useChangeImagePinnedMutation();
+  const [starImages] = useStarImagesMutation();
+  const [unstarImages] = useUnstarImagesMutation();
 
   const { isClipboardAPIAvailable, copyImageToClipboard } =
     useCopyImageToClipboard();
@@ -133,13 +135,13 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
     copyImageToClipboard(imageDTO.image_url);
   }, [copyImageToClipboard, imageDTO.image_url]);
 
-  const handlePinImage = useCallback(() => {
-    togglePin({ imageDTO, pinned: true });
-  }, [togglePin, imageDTO]);
+  const handleStarImage = useCallback(() => {
+    if (imageDTO) starImages({ images: [imageDTO] });
+  }, [starImages, imageDTO]);
 
-  const handleUnpinImage = useCallback(() => {
-    togglePin({ imageDTO, pinned: false });
-  }, [togglePin, imageDTO]);
+  const handleUnstarImage = useCallback(() => {
+    if (imageDTO) unstarImages({ images: [imageDTO] });
+  }, [unstarImages, imageDTO]);
 
   return (
     <>
@@ -210,12 +212,12 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
       <MenuItem icon={<FaFolder />} onClickCapture={handleChangeBoard}>
         Change Board
       </MenuItem>
-      {imageDTO.pinned ? (
-        <MenuItem icon={<MdStar />} onClickCapture={handleUnpinImage}>
+      {imageDTO.starred ? (
+        <MenuItem icon={<MdStar />} onClickCapture={handleUnstarImage}>
           Unstar Image
         </MenuItem>
       ) : (
-        <MenuItem icon={<MdStarBorder />} onClickCapture={handlePinImage}>
+        <MenuItem icon={<MdStarBorder />} onClickCapture={handleStarImage}>
           Star Image
         </MenuItem>
       )}
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
index 9cd2c51a1b..9122563524 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
@@ -1,4 +1,4 @@
-import { Box, Flex, useColorModeValue } from '@chakra-ui/react';
+import { Box, Flex } from '@chakra-ui/react';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIDndImage from 'common/components/IAIDndImage';
 import IAIFillSkeleton from 'common/components/IAIFillSkeleton';
@@ -13,8 +13,9 @@ import { MouseEvent, memo, useCallback, useMemo, useState } from 'react';
 import { FaTrash } from 'react-icons/fa';
 import { MdStar, MdStarBorder } from 'react-icons/md';
 import {
-  useChangeImagePinnedMutation,
   useGetImageDTOQuery,
+  useStarImagesMutation,
+  useUnstarImagesMutation,
 } from 'services/api/endpoints/images';
 import IAIDndImageIcon from '../../../../common/components/IAIDndImageIcon';
 
@@ -64,40 +65,26 @@ const GalleryImage = (props: HoverableImageProps) => {
     }
   }, [imageDTO, selection, selectionCount]);
 
-  const [togglePin] = useChangeImagePinnedMutation();
+  const [starImages] = useStarImagesMutation();
+  const [unstarImages] = useUnstarImagesMutation();
 
-  const togglePinnedState = useCallback(() => {
+  const toggleStarredState = useCallback(() => {
     if (imageDTO) {
-      togglePin({ imageDTO, pinned: !imageDTO.pinned });
+      if (imageDTO.starred) {
+        unstarImages({ images: [imageDTO] });
+      }
+      if (!imageDTO.starred) {
+        starImages({ images: [imageDTO] });
+      }
     }
-  }, [togglePin, imageDTO]);
+  }, [starImages, unstarImages, imageDTO]);
 
   const [isHovered, setIsHovered] = useState(false);
 
-  const pinIcon = useMemo(() => {
-    if (imageDTO?.pinned) return <MdStar size="20" />;
-    if (!imageDTO?.pinned && isHovered) return <MdStarBorder size="20" />;
-  }, [imageDTO?.pinned, isHovered]);
-
-  const resetIconShadow = useColorModeValue(
-    `drop-shadow(0px 0px 0.1rem var(--invokeai-colors-base-600))`,
-    `drop-shadow(0px 0px 0.1rem var(--invokeai-colors-base-800))`
-  );
-
-  const iconButtonStyles = {
-    position: 'absolute',
-    top: 1,
-    insetInlineEnd: 1,
-    p: 0,
-    minW: 0,
-    svg: {
-      transitionProperty: 'common',
-      transitionDuration: 'normal',
-      fill: 'base.100',
-      _hover: { fill: 'base.50' },
-      filter: resetIconShadow,
-    },
-  };
+  const starIcon = useMemo(() => {
+    if (imageDTO?.starred) return <MdStar size="20" />;
+    if (!imageDTO?.starred && isHovered) return <MdStarBorder size="20" />;
+  }, [imageDTO?.starred, isHovered]);
 
   if (!imageDTO) {
     return <IAIFillSkeleton />;
@@ -130,9 +117,9 @@ const GalleryImage = (props: HoverableImageProps) => {
         >
           <>
             <IAIDndImageIcon
-              onClick={togglePinnedState}
-              icon={pinIcon}
-              tooltip={imageDTO.pinned ? 'Unstar' : 'Star'}
+              onClick={toggleStarredState}
+              icon={starIcon}
+              tooltip={imageDTO.starred ? 'Unstar' : 'Star'}
             />
 
             {isHovered && shouldShowDeleteButton && (
diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index ef99d735c2..e697badad2 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -388,112 +388,217 @@ export const imagesApi = api.injectEndpoints({
       },
     }),
     /**
-     * Change an image's `pinned` state.
+     * Star a list of images.
      */
-    changeImagePinned: build.mutation<
-      ImageDTO,
-      { imageDTO: ImageDTO; pinned: boolean }
+    starImages: build.mutation<
+      void,
+      { images: ImageDTO[] }
     >({
-      query: ({ imageDTO, pinned }) => ({
-        url: `images/i/${imageDTO.image_name}`,
-        method: 'PATCH',
-        body: { pinned },
+      query: ({ images }) => ({
+        url: `images/star`,
+        method: 'POST',
+        body: { image_names: images.map(img => img.image_name) },
       }),
-      invalidatesTags: (result, error, { imageDTO }) => {
-        const categories = getCategories(imageDTO);
-        return [
-          {
-            type: 'ImageList',
-            id: getListImagesUrl({
-              board_id: imageDTO.board_id,
-              categories,
-            }),
-          },
-        ]
+      invalidatesTags: (result, error, { images }) => {
+        // assume all images are on the same board/category
+        if (images[0]) {
+          const categories = getCategories(images[0]);
+          const boardId = images[0].board_id;
+          return [
+            {
+              type: 'ImageList',
+              id: getListImagesUrl({
+                board_id: boardId,
+                categories,
+              }),
+            },
+          ]
+        }
+        return []
+
       },
       async onQueryStarted(
-        { imageDTO, pinned },
+        { images },
         { dispatch, queryFulfilled, getState }
       ) {
-        /**
-         * Cache changes for `changeImagePinned`:
-         * - *update* getImageDTO
-         */
+        try {
+          /**
+           * Cache changes for pinImages:
+           * - *update* getImageDTO for each image
+           * - *upsert* into list for each image
+           */
 
-        // Store patches so we can undo if the query fails
-        const patches: PatchCollection[] = [];
+          // assume all images are on the same board/category
+          if (!images[0]) return;
+          const categories = getCategories(images[0]);
+          const boardId = images[0].board_id;
 
-        // *update* getImageDTO
-        patches.push(
-          dispatch(
-            imagesApi.util.updateQueryData(
-              'getImageDTO',
-              imageDTO.image_name,
-              (draft) => {
-                Object.assign(draft, { pinned });
-              }
-            )
-          )
-        );
-
-        const categories = getCategories(imageDTO);
-
-        const queryArgs = {
-          board_id: imageDTO.board_id ?? 'none',
-          categories,
-        };
-
-        const currentCache = imagesApi.endpoints.listImages.select(queryArgs)(
-          getState()
-        );
-
-        const { data: total } = IMAGE_CATEGORIES.includes(
-          imageDTO.image_category
-        )
-          ? boardsApi.endpoints.getBoardImagesTotal.select(
-            imageDTO.board_id ?? 'none'
-          )(getState())
-          : boardsApi.endpoints.getBoardAssetsTotal.select(
-            imageDTO.board_id ?? 'none'
-          )(getState());
-
-        // IF it eligible for insertion into existing $cache
-        // "eligible" means either:
-        // - The cache is fully populated, with all images in the db cached
-        //    OR
-        // - The image's `created_at` is within the range of the cached images within that pinned state
-
-        const updatedImage: ImageDTO = { ...imageDTO, pinned }
-
-        const isCacheFullyPopulated =
-          currentCache.data && currentCache.data.ids.length >= (total ?? 0);
-
-        const isInDateRange = getIsImageInDateRange(
-          currentCache.data,
-          updatedImage
-        );
-
-        // should we remove images from cache if _not_ in date range? ie you are showing 100 of 101 pinned images and you unpin one. technically it should disappear from list.
-
-        if (isCacheFullyPopulated || isInDateRange) {
-          // *upsert* to $cache
-          patches.push(
+          images.forEach((imageDTO) => {
+            const { image_name } = imageDTO;
             dispatch(
               imagesApi.util.updateQueryData(
-                'listImages',
-                queryArgs,
+                'getImageDTO',
+                image_name,
                 (draft) => {
-                  imagesAdapter.upsertOne(draft, updatedImage);
+                  draft.starred = true;
                 }
               )
-            )
-          );
-        }
+            );
 
-        try {
-          await queryFulfilled;
+            const queryArgs = {
+              board_id: boardId ?? 'none',
+              categories
+            };
+
+            const currentCache = imagesApi.endpoints.listImages.select(
+              queryArgs
+            )(getState());
+
+            const { data: previousTotal } = IMAGE_CATEGORIES.includes(
+              imageDTO.image_category
+            )
+              ? boardsApi.endpoints.getBoardImagesTotal.select(
+                boardId ?? 'none'
+              )(getState())
+              : boardsApi.endpoints.getBoardAssetsTotal.select(
+                boardId ?? 'none'
+              )(getState());
+
+            const isCacheFullyPopulated =
+              currentCache.data &&
+              currentCache.data.ids.length >= (previousTotal ?? 0);
+
+            const isInDateRange =
+              (previousTotal || 0) >= IMAGE_LIMIT
+                ? getIsImageInDateRange(currentCache.data, imageDTO)
+                : true;
+
+            if (isCacheFullyPopulated || isInDateRange) {
+              // *upsert* to $cache
+              dispatch(
+                imagesApi.util.updateQueryData(
+                  'listImages',
+                  queryArgs,
+                  (draft) => {
+                    imagesAdapter.upsertOne(draft, {
+                      ...imageDTO,
+                      starred: true
+                    });
+                  }
+                )
+              );
+            }
+          });
         } catch {
-          patches.forEach((patchResult) => patchResult.undo());
+          // no-op
+        }
+      },
+    }),
+    /**
+     * Unstar a list of images.
+     */
+    unstarImages: build.mutation<
+      void,
+      { images: ImageDTO[] }
+    >({
+      query: ({ images }) => ({
+        url: `images/unstar`,
+        method: 'POST',
+        body: { image_names: images.map(img => img.image_name) },
+      }),
+      invalidatesTags: (result, error, { images }) => {
+        // assume all images are on the same board/category
+        if (images[0]) {
+          const categories = getCategories(images[0]);
+          const boardId = images[0].board_id;
+          return [
+            {
+              type: 'ImageList',
+              id: getListImagesUrl({
+                board_id: boardId,
+                categories,
+              }),
+            },
+          ]
+        }
+        return []
+
+      },
+      async onQueryStarted(
+        { images },
+        { dispatch, queryFulfilled, getState }
+      ) {
+        try {
+          /**
+           * Cache changes for unstarImages:
+           * - *update* getImageDTO for each image
+           * - *upsert* into list for each image
+           */
+
+          // assume all images are on the same board/category
+          if (!images[0]) return;
+          const categories = getCategories(images[0]);
+          const boardId = images[0].board_id;
+
+          images.forEach((imageDTO) => {
+            const { image_name } = imageDTO;
+            dispatch(
+              imagesApi.util.updateQueryData(
+                'getImageDTO',
+                image_name,
+                (draft) => {
+                  draft.starred = false;
+                }
+              )
+            );
+
+
+            const queryArgs = {
+              board_id: boardId ?? 'none',
+              categories
+            };
+
+            const currentCache = imagesApi.endpoints.listImages.select(
+              queryArgs
+            )(getState());
+
+            const { data: previousTotal } = IMAGE_CATEGORIES.includes(
+              imageDTO.image_category
+            )
+              ? boardsApi.endpoints.getBoardImagesTotal.select(
+                boardId ?? 'none'
+              )(getState())
+              : boardsApi.endpoints.getBoardAssetsTotal.select(
+                boardId ?? 'none'
+              )(getState());
+
+            const isCacheFullyPopulated =
+              currentCache.data &&
+              currentCache.data.ids.length >= (previousTotal ?? 0);
+
+            const isInDateRange =
+              (previousTotal || 0) >= IMAGE_LIMIT
+                ? getIsImageInDateRange(currentCache.data, imageDTO)
+                : true;
+
+            if (isCacheFullyPopulated || isInDateRange) {
+              // *upsert* to $cache
+              dispatch(
+                imagesApi.util.updateQueryData(
+                  'listImages',
+                  queryArgs,
+                  (draft) => {
+                    imagesAdapter.upsertOne(draft, {
+                      ...imageDTO,
+                      starred: false
+                    });
+                  }
+                )
+              );
+            }
+          });
+        } catch {
+          // no-op
         }
       },
     }),
@@ -1268,7 +1373,8 @@ export const {
   useRemoveImageFromBoardMutation,
   useChangeImageIsIntermediateMutation,
   useChangeImageSessionIdMutation,
-  useChangeImagePinnedMutation,
   useDeleteBoardAndImagesMutation,
   useDeleteBoardMutation,
+  useStarImagesMutation,
+  useUnstarImagesMutation
 } = imagesApi;
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index ea40ea4f6f..bac9f1ae96 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -209,6 +209,14 @@ export type paths = {
     /** Delete Images From List */
     post: operations['delete_images_from_list'];
   };
+  '/api/v1/images/star': {
+    /** Star Images In List */
+    post: operations['star_images_in_list'];
+  };
+  '/api/v1/images/unstar': {
+    /** Unstar Images In List */
+    post: operations['unstar_images_in_list'];
+  };
   '/api/v1/boards/': {
     /**
      * List Boards
@@ -539,6 +547,22 @@ export type components = {
        */
       image_names: string[];
     };
+    /** Body_star_images_in_list */
+    Body_star_images_in_list: {
+      /**
+       * Image Names
+       * @description The list of names of images to star
+       */
+      image_names: string[];
+    };
+    /** Body_unstar_images_in_list */
+    Body_unstar_images_in_list: {
+      /**
+       * Image Names
+       * @description The list of names of images to unstar
+       */
+      image_names: string[];
+    };
     /** Body_upload_image */
     Body_upload_image: {
       /**
@@ -1927,21 +1951,6 @@ export type components = {
       nodes?: {
         [key: string]:
           | (
-              | components['schemas']['BooleanInvocation']
-              | components['schemas']['BooleanCollectionInvocation']
-              | components['schemas']['IntegerInvocation']
-              | components['schemas']['IntegerCollectionInvocation']
-              | components['schemas']['FloatInvocation']
-              | components['schemas']['FloatCollectionInvocation']
-              | components['schemas']['StringInvocation']
-              | components['schemas']['StringCollectionInvocation']
-              | components['schemas']['ImageInvocation']
-              | components['schemas']['ImageCollectionInvocation']
-              | components['schemas']['LatentsInvocation']
-              | components['schemas']['LatentsCollectionInvocation']
-              | components['schemas']['ColorInvocation']
-              | components['schemas']['ConditioningInvocation']
-              | components['schemas']['ConditioningCollectionInvocation']
               | components['schemas']['ControlNetInvocation']
               | components['schemas']['ImageProcessorInvocation']
               | components['schemas']['MainModelLoaderInvocation']
@@ -1949,21 +1958,15 @@ export type components = {
               | components['schemas']['SDXLLoraLoaderInvocation']
               | components['schemas']['VaeLoaderInvocation']
               | components['schemas']['MetadataAccumulatorInvocation']
-              | components['schemas']['SDXLModelLoaderInvocation']
-              | components['schemas']['SDXLRefinerModelLoaderInvocation']
+              | components['schemas']['RangeInvocation']
+              | components['schemas']['RangeOfSizeInvocation']
+              | components['schemas']['RandomRangeInvocation']
+              | components['schemas']['ImageCollectionInvocation']
               | components['schemas']['CompelInvocation']
               | components['schemas']['SDXLCompelPromptInvocation']
               | components['schemas']['SDXLRefinerCompelPromptInvocation']
               | components['schemas']['ClipSkipInvocation']
-              | components['schemas']['DenoiseLatentsInvocation']
-              | components['schemas']['LatentsToImageInvocation']
-              | components['schemas']['ResizeLatentsInvocation']
-              | components['schemas']['ScaleLatentsInvocation']
-              | components['schemas']['ImageToLatentsInvocation']
-              | components['schemas']['ONNXPromptInvocation']
-              | components['schemas']['ONNXTextToLatentsInvocation']
-              | components['schemas']['ONNXLatentsToImageInvocation']
-              | components['schemas']['OnnxModelLoaderInvocation']
+              | components['schemas']['LoadImageInvocation']
               | components['schemas']['ShowImageInvocation']
               | components['schemas']['ImageCropInvocation']
               | components['schemas']['ImagePasteInvocation']
@@ -1984,24 +1987,37 @@ export type components = {
               | components['schemas']['ImageHueAdjustmentInvocation']
               | components['schemas']['ImageLuminosityAdjustmentInvocation']
               | components['schemas']['ImageSaturationAdjustmentInvocation']
-              | components['schemas']['DynamicPromptInvocation']
-              | components['schemas']['PromptsFromFileInvocation']
               | components['schemas']['CvInpaintInvocation']
-              | components['schemas']['FloatLinearRangeInvocation']
-              | components['schemas']['StepParamEasingInvocation']
+              | components['schemas']['InfillColorInvocation']
+              | components['schemas']['InfillTileInvocation']
+              | components['schemas']['InfillPatchMatchInvocation']
+              | components['schemas']['DenoiseLatentsInvocation']
+              | components['schemas']['LatentsToImageInvocation']
+              | components['schemas']['ResizeLatentsInvocation']
+              | components['schemas']['ScaleLatentsInvocation']
+              | components['schemas']['ImageToLatentsInvocation']
               | components['schemas']['AddInvocation']
               | components['schemas']['SubtractInvocation']
               | components['schemas']['MultiplyInvocation']
               | components['schemas']['DivideInvocation']
               | components['schemas']['RandomIntInvocation']
               | components['schemas']['NoiseInvocation']
-              | components['schemas']['RangeInvocation']
-              | components['schemas']['RangeOfSizeInvocation']
-              | components['schemas']['RandomRangeInvocation']
+              | components['schemas']['ONNXPromptInvocation']
+              | components['schemas']['ONNXTextToLatentsInvocation']
+              | components['schemas']['ONNXLatentsToImageInvocation']
+              | components['schemas']['ONNXSD1ModelLoaderInvocation']
+              | components['schemas']['OnnxModelLoaderInvocation']
+              | components['schemas']['DynamicPromptInvocation']
+              | components['schemas']['PromptsFromFileInvocation']
+              | components['schemas']['ParamIntInvocation']
+              | components['schemas']['ParamFloatInvocation']
+              | components['schemas']['ParamStringInvocation']
+              | components['schemas']['ParamPromptInvocation']
+              | components['schemas']['FloatLinearRangeInvocation']
+              | components['schemas']['StepParamEasingInvocation']
+              | components['schemas']['SDXLModelLoaderInvocation']
+              | components['schemas']['SDXLRefinerModelLoaderInvocation']
               | components['schemas']['ESRGANInvocation']
-              | components['schemas']['InfillColorInvocation']
-              | components['schemas']['InfillTileInvocation']
-              | components['schemas']['InfillPatchMatchInvocation']
               | components['schemas']['GraphInvocation']
               | components['schemas']['IterateInvocation']
               | components['schemas']['CollectInvocation']
@@ -2507,10 +2523,10 @@ export type components = {
        */
       node_id?: string;
       /**
-       * Pinned
-       * @description Whether this image is pinned.
+       * Starred
+       * @description Whether this image is starred.
        */
-      pinned: boolean;
+      starred: boolean;
       /**
        * Board Id
        * @description The id of the board the image belongs to, if one exists.
@@ -2899,7 +2915,7 @@ export type components = {
      *   - `image_category`: change the category of an image
      *   - `session_id`: change the session associated with an image
      *   - `is_intermediate`: change the image's `is_intermediate` flag
-     *   - `pinned`: change whether the image is pinned
+     *   - `starred`: change whether the image is starred
      */
     ImageRecordChanges: {
       /** @description The image's new category. */
@@ -2915,10 +2931,10 @@ export type components = {
        */
       is_intermediate?: boolean;
       /**
-       * Pinned
-       * @description The image's new `pinned` state
+       * Starred
+       * @description The image's new `starred` state
        */
-      pinned?: boolean;
+      starred?: boolean;
     };
     /**
      * Resize Image
@@ -6390,36 +6406,20 @@ export type components = {
       image?: components['schemas']['ImageField'];
     };
     /**
-     * UIConfigBase
-     * @description Provides additional node configuration to the UI.
-     * This is used internally by the @tags and @title decorator logic. You probably want to use those
-     * decorators, though you may add this class to a node definition to specify the title and tags.
-     */
-    UIConfigBase: {
-      /**
-       * Tags
-       * @description The tags to display in the UI
-       */
-      tags?: string[];
-      /**
-       * Title
-       * @description The display name of the node
-       */
-      title?: string;
-    };
-    /**
-     * Input
-     * @description The type of input a field accepts.
-     * - `Input.Direct`: The field must have its value provided directly, when the invocation and field       are instantiated.
-     * - `Input.Connection`: The field must have its value provided by a connection.
-     * - `Input.Any`: The field may have its value provided either directly or by a connection.
+     * StableDiffusion2ModelFormat
+     * @description An enumeration.
      * @enum {string}
      */
     Input: 'connection' | 'direct' | 'any';
     /**
-     * UIType
-     * @description Type hints for the UI.
-     * If a field should be provided a data type that does not exactly match the python type of the field,     use this to provide the type that should be used instead. See the node development docs for detail     on adding a new field type, which involves client-side changes.
+     * ControlNetModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    ControlNetModelFormat: 'checkpoint' | 'diffusers';
+    /**
+     * StableDiffusion1ModelFormat
+     * @description An enumeration.
      * @enum {string}
      */
     UIType:
@@ -6456,11 +6456,11 @@ export type components = {
       | 'FilePath'
       | 'enum';
     /**
-     * UIComponent
-     * @description The type of UI component to use for a field, used to override the default components, which are     inferred from the field type.
+     * StableDiffusionOnnxModelFormat
+     * @description An enumeration.
      * @enum {string}
      */
-    UIComponent: 'none' | 'textarea' | 'slider';
+    StableDiffusionOnnxModelFormat: 'olive' | 'onnx';
     /**
      * _InputField
      * @description *DO NOT USE*
@@ -6627,21 +6627,6 @@ export type operations = {
     requestBody: {
       content: {
         'application/json':
-          | components['schemas']['BooleanInvocation']
-          | components['schemas']['BooleanCollectionInvocation']
-          | components['schemas']['IntegerInvocation']
-          | components['schemas']['IntegerCollectionInvocation']
-          | components['schemas']['FloatInvocation']
-          | components['schemas']['FloatCollectionInvocation']
-          | components['schemas']['StringInvocation']
-          | components['schemas']['StringCollectionInvocation']
-          | components['schemas']['ImageInvocation']
-          | components['schemas']['ImageCollectionInvocation']
-          | components['schemas']['LatentsInvocation']
-          | components['schemas']['LatentsCollectionInvocation']
-          | components['schemas']['ColorInvocation']
-          | components['schemas']['ConditioningInvocation']
-          | components['schemas']['ConditioningCollectionInvocation']
           | components['schemas']['ControlNetInvocation']
           | components['schemas']['ImageProcessorInvocation']
           | components['schemas']['MainModelLoaderInvocation']
@@ -6649,21 +6634,15 @@ export type operations = {
           | components['schemas']['SDXLLoraLoaderInvocation']
           | components['schemas']['VaeLoaderInvocation']
           | components['schemas']['MetadataAccumulatorInvocation']
-          | components['schemas']['SDXLModelLoaderInvocation']
-          | components['schemas']['SDXLRefinerModelLoaderInvocation']
+          | components['schemas']['RangeInvocation']
+          | components['schemas']['RangeOfSizeInvocation']
+          | components['schemas']['RandomRangeInvocation']
+          | components['schemas']['ImageCollectionInvocation']
           | components['schemas']['CompelInvocation']
           | components['schemas']['SDXLCompelPromptInvocation']
           | components['schemas']['SDXLRefinerCompelPromptInvocation']
           | components['schemas']['ClipSkipInvocation']
-          | components['schemas']['DenoiseLatentsInvocation']
-          | components['schemas']['LatentsToImageInvocation']
-          | components['schemas']['ResizeLatentsInvocation']
-          | components['schemas']['ScaleLatentsInvocation']
-          | components['schemas']['ImageToLatentsInvocation']
-          | components['schemas']['ONNXPromptInvocation']
-          | components['schemas']['ONNXTextToLatentsInvocation']
-          | components['schemas']['ONNXLatentsToImageInvocation']
-          | components['schemas']['OnnxModelLoaderInvocation']
+          | components['schemas']['LoadImageInvocation']
           | components['schemas']['ShowImageInvocation']
           | components['schemas']['ImageCropInvocation']
           | components['schemas']['ImagePasteInvocation']
@@ -6684,24 +6663,37 @@ export type operations = {
           | components['schemas']['ImageHueAdjustmentInvocation']
           | components['schemas']['ImageLuminosityAdjustmentInvocation']
           | components['schemas']['ImageSaturationAdjustmentInvocation']
-          | components['schemas']['DynamicPromptInvocation']
-          | components['schemas']['PromptsFromFileInvocation']
           | components['schemas']['CvInpaintInvocation']
-          | components['schemas']['FloatLinearRangeInvocation']
-          | components['schemas']['StepParamEasingInvocation']
+          | components['schemas']['InfillColorInvocation']
+          | components['schemas']['InfillTileInvocation']
+          | components['schemas']['InfillPatchMatchInvocation']
+          | components['schemas']['DenoiseLatentsInvocation']
+          | components['schemas']['LatentsToImageInvocation']
+          | components['schemas']['ResizeLatentsInvocation']
+          | components['schemas']['ScaleLatentsInvocation']
+          | components['schemas']['ImageToLatentsInvocation']
           | components['schemas']['AddInvocation']
           | components['schemas']['SubtractInvocation']
           | components['schemas']['MultiplyInvocation']
           | components['schemas']['DivideInvocation']
           | components['schemas']['RandomIntInvocation']
           | components['schemas']['NoiseInvocation']
-          | components['schemas']['RangeInvocation']
-          | components['schemas']['RangeOfSizeInvocation']
-          | components['schemas']['RandomRangeInvocation']
+          | components['schemas']['ONNXPromptInvocation']
+          | components['schemas']['ONNXTextToLatentsInvocation']
+          | components['schemas']['ONNXLatentsToImageInvocation']
+          | components['schemas']['ONNXSD1ModelLoaderInvocation']
+          | components['schemas']['OnnxModelLoaderInvocation']
+          | components['schemas']['DynamicPromptInvocation']
+          | components['schemas']['PromptsFromFileInvocation']
+          | components['schemas']['ParamIntInvocation']
+          | components['schemas']['ParamFloatInvocation']
+          | components['schemas']['ParamStringInvocation']
+          | components['schemas']['ParamPromptInvocation']
+          | components['schemas']['FloatLinearRangeInvocation']
+          | components['schemas']['StepParamEasingInvocation']
+          | components['schemas']['SDXLModelLoaderInvocation']
+          | components['schemas']['SDXLRefinerModelLoaderInvocation']
           | components['schemas']['ESRGANInvocation']
-          | components['schemas']['InfillColorInvocation']
-          | components['schemas']['InfillTileInvocation']
-          | components['schemas']['InfillPatchMatchInvocation']
           | components['schemas']['GraphInvocation']
           | components['schemas']['IterateInvocation']
           | components['schemas']['CollectInvocation']
@@ -6757,21 +6749,6 @@ export type operations = {
     requestBody: {
       content: {
         'application/json':
-          | components['schemas']['BooleanInvocation']
-          | components['schemas']['BooleanCollectionInvocation']
-          | components['schemas']['IntegerInvocation']
-          | components['schemas']['IntegerCollectionInvocation']
-          | components['schemas']['FloatInvocation']
-          | components['schemas']['FloatCollectionInvocation']
-          | components['schemas']['StringInvocation']
-          | components['schemas']['StringCollectionInvocation']
-          | components['schemas']['ImageInvocation']
-          | components['schemas']['ImageCollectionInvocation']
-          | components['schemas']['LatentsInvocation']
-          | components['schemas']['LatentsCollectionInvocation']
-          | components['schemas']['ColorInvocation']
-          | components['schemas']['ConditioningInvocation']
-          | components['schemas']['ConditioningCollectionInvocation']
           | components['schemas']['ControlNetInvocation']
           | components['schemas']['ImageProcessorInvocation']
           | components['schemas']['MainModelLoaderInvocation']
@@ -6779,21 +6756,15 @@ export type operations = {
           | components['schemas']['SDXLLoraLoaderInvocation']
           | components['schemas']['VaeLoaderInvocation']
           | components['schemas']['MetadataAccumulatorInvocation']
-          | components['schemas']['SDXLModelLoaderInvocation']
-          | components['schemas']['SDXLRefinerModelLoaderInvocation']
+          | components['schemas']['RangeInvocation']
+          | components['schemas']['RangeOfSizeInvocation']
+          | components['schemas']['RandomRangeInvocation']
+          | components['schemas']['ImageCollectionInvocation']
           | components['schemas']['CompelInvocation']
           | components['schemas']['SDXLCompelPromptInvocation']
           | components['schemas']['SDXLRefinerCompelPromptInvocation']
           | components['schemas']['ClipSkipInvocation']
-          | components['schemas']['DenoiseLatentsInvocation']
-          | components['schemas']['LatentsToImageInvocation']
-          | components['schemas']['ResizeLatentsInvocation']
-          | components['schemas']['ScaleLatentsInvocation']
-          | components['schemas']['ImageToLatentsInvocation']
-          | components['schemas']['ONNXPromptInvocation']
-          | components['schemas']['ONNXTextToLatentsInvocation']
-          | components['schemas']['ONNXLatentsToImageInvocation']
-          | components['schemas']['OnnxModelLoaderInvocation']
+          | components['schemas']['LoadImageInvocation']
           | components['schemas']['ShowImageInvocation']
           | components['schemas']['ImageCropInvocation']
           | components['schemas']['ImagePasteInvocation']
@@ -6814,24 +6785,37 @@ export type operations = {
           | components['schemas']['ImageHueAdjustmentInvocation']
           | components['schemas']['ImageLuminosityAdjustmentInvocation']
           | components['schemas']['ImageSaturationAdjustmentInvocation']
-          | components['schemas']['DynamicPromptInvocation']
-          | components['schemas']['PromptsFromFileInvocation']
           | components['schemas']['CvInpaintInvocation']
-          | components['schemas']['FloatLinearRangeInvocation']
-          | components['schemas']['StepParamEasingInvocation']
+          | components['schemas']['InfillColorInvocation']
+          | components['schemas']['InfillTileInvocation']
+          | components['schemas']['InfillPatchMatchInvocation']
+          | components['schemas']['DenoiseLatentsInvocation']
+          | components['schemas']['LatentsToImageInvocation']
+          | components['schemas']['ResizeLatentsInvocation']
+          | components['schemas']['ScaleLatentsInvocation']
+          | components['schemas']['ImageToLatentsInvocation']
           | components['schemas']['AddInvocation']
           | components['schemas']['SubtractInvocation']
           | components['schemas']['MultiplyInvocation']
           | components['schemas']['DivideInvocation']
           | components['schemas']['RandomIntInvocation']
           | components['schemas']['NoiseInvocation']
-          | components['schemas']['RangeInvocation']
-          | components['schemas']['RangeOfSizeInvocation']
-          | components['schemas']['RandomRangeInvocation']
+          | components['schemas']['ONNXPromptInvocation']
+          | components['schemas']['ONNXTextToLatentsInvocation']
+          | components['schemas']['ONNXLatentsToImageInvocation']
+          | components['schemas']['ONNXSD1ModelLoaderInvocation']
+          | components['schemas']['OnnxModelLoaderInvocation']
+          | components['schemas']['DynamicPromptInvocation']
+          | components['schemas']['PromptsFromFileInvocation']
+          | components['schemas']['ParamIntInvocation']
+          | components['schemas']['ParamFloatInvocation']
+          | components['schemas']['ParamStringInvocation']
+          | components['schemas']['ParamPromptInvocation']
+          | components['schemas']['FloatLinearRangeInvocation']
+          | components['schemas']['StepParamEasingInvocation']
+          | components['schemas']['SDXLModelLoaderInvocation']
+          | components['schemas']['SDXLRefinerModelLoaderInvocation']
           | components['schemas']['ESRGANInvocation']
-          | components['schemas']['InfillColorInvocation']
-          | components['schemas']['InfillTileInvocation']
-          | components['schemas']['InfillPatchMatchInvocation']
           | components['schemas']['GraphInvocation']
           | components['schemas']['IterateInvocation']
           | components['schemas']['CollectInvocation']
@@ -7723,6 +7707,50 @@ export type operations = {
       };
     };
   };
+  /** Star Images In List */
+  star_images_in_list: {
+    requestBody: {
+      content: {
+        'application/json': components['schemas']['Body_star_images_in_list'];
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          'application/json': unknown;
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          'application/json': components['schemas']['HTTPValidationError'];
+        };
+      };
+    };
+  };
+  /** Unstar Images In List */
+  unstar_images_in_list: {
+    requestBody: {
+      content: {
+        'application/json': components['schemas']['Body_unstar_images_in_list'];
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          'application/json': unknown;
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          'application/json': components['schemas']['HTTPValidationError'];
+        };
+      };
+    };
+  };
   /**
    * List Boards
    * @description Gets a list of boards
diff --git a/invokeai/frontend/web/src/services/api/util.ts b/invokeai/frontend/web/src/services/api/util.ts
index a97e96f312..95f2b10653 100644
--- a/invokeai/frontend/web/src/services/api/util.ts
+++ b/invokeai/frontend/web/src/services/api/util.ts
@@ -21,32 +21,28 @@ export const getIsImageInDateRange = (
     return true;
   }
 
-  const cachedPinnedImages = [];
-  const cachedUnpinnedImages = [];
+  const cachedStarredImages = [];
+  const cachedUnstarredImages = [];
 
   for (let index = 0; index < totalCachedImageDtos.length; index++) {
     const image = totalCachedImageDtos[index];
-    if (image?.pinned) cachedPinnedImages.push(image)
-    if (!image?.pinned) cachedUnpinnedImages.push(image)
+    if (image?.starred) cachedStarredImages.push(image)
+    if (!image?.starred) cachedUnstarredImages.push(image)
   }
 
-  const lastPinnedImage = cachedPinnedImages[cachedPinnedImages.length - 1];
-  const lastUnpinnedImage = cachedUnpinnedImages[cachedUnpinnedImages.length - 1];
-
-  if (!lastPinnedImage || !lastUnpinnedImage) {
-    // satisfy TS gods, we already confirmed the array has more than one image
-    return false;
-  }
-
-  if (imageDTO.pinned) {
-    // if pinning or already pinned, want to look in list of pinned images 
+  if (imageDTO.starred) {
+    const lastStarredImage = cachedStarredImages[cachedStarredImages.length - 1];
+    // if starring or already starred, want to look in list of starred images 
+    if (!lastStarredImage) return true; // no starred images showing, so always show this one
     const createdDate = new Date(imageDTO.created_at);
-    const oldestDate = new Date(lastPinnedImage.created_at);
+    const oldestDate = new Date(lastStarredImage.created_at);
     return createdDate >= oldestDate;
   } else {
-    // if unpinning or already unpinned, want to look in list of unpinned images 
+    const lastUnstarredImage = cachedUnstarredImages[cachedUnstarredImages.length - 1];
+    // if unstarring or already unstarred, want to look in list of unstarred images
+    if (!lastUnstarredImage) return false; // no unstarred images showing, so don't show this one
     const createdDate = new Date(imageDTO.created_at);
-    const oldestDate = new Date(lastUnpinnedImage.created_at);
+    const oldestDate = new Date(lastUnstarredImage.created_at);
     return createdDate >= oldestDate;
   }
 
@@ -64,11 +60,11 @@ export const getCategories = (imageDTO: ImageDTO) => {
 export const imagesAdapter = createEntityAdapter<ImageDTO>({
   selectId: (image) => image.image_name,
   sortComparer: (a, b) => {
-    // Compare pinned images first
-    if (a.pinned && !b.pinned) {
+    // Compare starred images first
+    if (a.starred && !b.starred) {
       return -1;
     }
-    if (!a.pinned && b.pinned) {
+    if (!a.starred && b.starred) {
       return 1;
     }
     return dateComparator(b.created_at, a.created_at)

From 08dc265e0945e3f36ce79db917f7e2b2ec6f4a62 Mon Sep 17 00:00:00 2001
From: Mary Hipp <maryhipp@Marys-MacBook-Air.local>
Date: Tue, 15 Aug 2023 13:15:37 -0400
Subject: [PATCH 248/287] add listener to update selection list with change in
 star status

---
 .../middleware/listenerMiddleware/index.ts    |  6 ++++
 .../listeners/imagesStarred.ts                | 30 +++++++++++++++++++
 .../listeners/imagesUnstarred.ts              | 30 +++++++++++++++++++
 .../web/src/services/api/endpoints/images.ts  |  4 +--
 4 files changed, 68 insertions(+), 2 deletions(-)
 create mode 100644 invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesStarred.ts
 create mode 100644 invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesUnstarred.ts

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
index 2c551c5f2d..abb17d1eec 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
@@ -80,6 +80,8 @@ import { addUserInvokedCanvasListener } from './listeners/userInvokedCanvas';
 import { addUserInvokedImageToImageListener } from './listeners/userInvokedImageToImage';
 import { addUserInvokedNodesListener } from './listeners/userInvokedNodes';
 import { addUserInvokedTextToImageListener } from './listeners/userInvokedTextToImage';
+import { addImagesStarredListener } from './listeners/imagesStarred';
+import { addImagesUnstarredListener } from './listeners/imagesUnstarred';
 
 export const listenerMiddleware = createListenerMiddleware();
 
@@ -121,6 +123,10 @@ addImageDeletedRejectedListener();
 addDeleteBoardAndImagesFulfilledListener();
 addImageToDeleteSelectedListener();
 
+// Image starred
+addImagesStarredListener();
+addImagesUnstarredListener();
+
 // User Invoked
 addUserInvokedCanvasListener();
 addUserInvokedNodesListener();
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesStarred.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesStarred.ts
new file mode 100644
index 0000000000..b5e7f5f087
--- /dev/null
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesStarred.ts
@@ -0,0 +1,30 @@
+import { imagesApi } from 'services/api/endpoints/images';
+import { startAppListening } from '..';
+import { selectionChanged } from '../../../../../features/gallery/store/gallerySlice';
+import { ImageDTO } from '../../../../../services/api/types';
+
+export const addImagesStarredListener = () => {
+  startAppListening({
+    matcher: imagesApi.endpoints.starImages.matchFulfilled,
+    effect: async (action, { dispatch, getState }) => {
+      const { images: starredImages } = action.payload;
+
+      const state = getState();
+
+      const { selection } = state.gallery;
+      const updatedSelection: ImageDTO[] = [];
+
+      selection.forEach((selectedImageDTO) => {
+        if (starredImages.includes(selectedImageDTO.image_name)) {
+          updatedSelection.push({
+            ...selectedImageDTO,
+            starred: true,
+          });
+        } else {
+          updatedSelection.push(selectedImageDTO);
+        }
+      });
+      dispatch(selectionChanged(updatedSelection));
+    },
+  });
+};
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesUnstarred.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesUnstarred.ts
new file mode 100644
index 0000000000..c8fc8c7c8b
--- /dev/null
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesUnstarred.ts
@@ -0,0 +1,30 @@
+import { imagesApi } from 'services/api/endpoints/images';
+import { startAppListening } from '..';
+import { selectionChanged } from '../../../../../features/gallery/store/gallerySlice';
+import { ImageDTO } from '../../../../../services/api/types';
+
+export const addImagesUnstarredListener = () => {
+  startAppListening({
+    matcher: imagesApi.endpoints.unstarImages.matchFulfilled,
+    effect: async (action, { dispatch, getState }) => {
+      const { images: unstarredImages } = action.payload;
+
+      const state = getState();
+
+      const { selection } = state.gallery;
+      const updatedSelection: ImageDTO[] = [];
+
+      selection.forEach((selectedImageDTO) => {
+        if (unstarredImages.includes(selectedImageDTO.image_name)) {
+          updatedSelection.push({
+            ...selectedImageDTO,
+            starred: false,
+          });
+        } else {
+          updatedSelection.push(selectedImageDTO);
+        }
+      });
+      dispatch(selectionChanged(updatedSelection));
+    },
+  });
+};
diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index e697badad2..7c849e45aa 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -391,7 +391,7 @@ export const imagesApi = api.injectEndpoints({
      * Star a list of images.
      */
     starImages: build.mutation<
-      void,
+      { images: string[] },
       { images: ImageDTO[] }
     >({
       query: ({ images }) => ({
@@ -498,7 +498,7 @@ export const imagesApi = api.injectEndpoints({
      * Unstar a list of images.
      */
     unstarImages: build.mutation<
-      void,
+      { images: string[] },
       { images: ImageDTO[] }
     >({
       query: ({ images }) => ({

From 80b0c5eab4aef0892df1e3c154b4f3963332cf07 Mon Sep 17 00:00:00 2001
From: maryhipp <maryhipp@gmail.com>
Date: Tue, 15 Aug 2023 08:25:12 -0700
Subject: [PATCH 249/287] change from pin to star

---
 invokeai/app/api/routers/images.py            | 27 +++++++++++++++++++
 invokeai/app/services/image_record_storage.py | 26 +++++++++---------
 invokeai/app/services/models/image_record.py  | 14 +++++-----
 3 files changed, 47 insertions(+), 20 deletions(-)

diff --git a/invokeai/app/api/routers/images.py b/invokeai/app/api/routers/images.py
index 21fd09e051..f31c075a50 100644
--- a/invokeai/app/api/routers/images.py
+++ b/invokeai/app/api/routers/images.py
@@ -286,3 +286,30 @@ async def delete_images_from_list(
         return DeleteImagesFromListResult(deleted_images=deleted_images)
     except Exception as e:
         raise HTTPException(status_code=500, detail="Failed to delete images")
+    
+    
+@images_router.post("/star", operation_id="star_images_in_list")
+async def star_images_in_list(
+    image_names: list[str] = Body(description="The list of names of images to star", embed=True),
+):
+    try:
+        for image_name in image_names:
+            try:
+                ApiDependencies.invoker.services.images.update(image_name, changes=ImageRecordChanges(starred=True))
+            except:
+                pass
+    except Exception as e:
+        raise HTTPException(status_code=500, detail="Failed to star images")
+    
+@images_router.post("/unstar", operation_id="unstar_images_in_list")
+async def unstar_images_in_list(
+    image_names: list[str] = Body(description="The list of names of images to unstar", embed=True),
+):
+    try:
+        for image_name in image_names:
+            try:
+                ApiDependencies.invoker.services.images.update(image_name, changes=ImageRecordChanges(starred=False))
+            except:
+                pass
+    except Exception as e:
+        raise HTTPException(status_code=500, detail="Failed to unstar images")
\ No newline at end of file
diff --git a/invokeai/app/services/image_record_storage.py b/invokeai/app/services/image_record_storage.py
index d704a631a7..53d792a577 100644
--- a/invokeai/app/services/image_record_storage.py
+++ b/invokeai/app/services/image_record_storage.py
@@ -67,7 +67,7 @@ IMAGE_DTO_COLS = ", ".join(
                 "created_at",
                 "updated_at",
                 "deleted_at",
-                "pinned"
+                "starred"
             ],
         )
     )
@@ -140,7 +140,7 @@ class ImageRecordStorageBase(ABC):
         node_id: Optional[str],
         metadata: Optional[dict],
         is_intermediate: bool = False,
-        pinned: bool = False
+        starred: bool = False
     ) -> datetime:
         """Saves an image record."""
         pass
@@ -205,10 +205,10 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
         self._cursor.execute("PRAGMA table_info(images)")
         columns = [column[1] for column in self._cursor.fetchall()]
         
-        if "pinned" not in columns:
+        if "starred" not in columns:
             self._cursor.execute(
                 """--sql
-                ALTER TABLE images ADD COLUMN pinned BOOLEAN DEFAULT FALSE;
+                ALTER TABLE images ADD COLUMN starred BOOLEAN DEFAULT FALSE;
                 """
             )
 
@@ -236,7 +236,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
 
         self._cursor.execute(
             """--sql
-            CREATE INDEX IF NOT EXISTS idx_images_pinned ON images(pinned);
+            CREATE INDEX IF NOT EXISTS idx_images_starred ON images(starred);
             """
         )
 
@@ -339,15 +339,15 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
                     (changes.is_intermediate, image_name),
                 )
 
-            # Change the image's `pinned`` state
-            if changes.pinned is not None:
+            # Change the image's `starred`` state
+            if changes.starred is not None:
                 self._cursor.execute(
                     f"""--sql
                     UPDATE images
-                    SET pinned = ?
+                    SET starred = ?
                     WHERE image_name = ?;
                     """,
-                    (changes.pinned, image_name),
+                    (changes.starred, image_name),
                 )
 
             self._conn.commit()
@@ -426,7 +426,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
                 query_params.append(board_id)
 
             query_pagination = """--sql
-            ORDER BY images.pinned DESC, images.created_at DESC LIMIT ? OFFSET ?
+            ORDER BY images.starred DESC, images.created_at DESC LIMIT ? OFFSET ?
             """
 
             # Final images query with pagination
@@ -529,7 +529,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
         node_id: Optional[str],
         metadata: Optional[dict],
         is_intermediate: bool = False,
-        pinned: bool = False
+        starred: bool = False
     ) -> datetime:
         try:
             metadata_json = None if metadata is None else json.dumps(metadata)
@@ -546,7 +546,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
                     session_id,
                     metadata,
                     is_intermediate,
-                    pinned
+                    starred
                     )
                 VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?);
                 """,
@@ -560,7 +560,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
                     session_id,
                     metadata_json,
                     is_intermediate,
-                    pinned,
+                    starred,
                 ),
             )
             self._conn.commit()
diff --git a/invokeai/app/services/models/image_record.py b/invokeai/app/services/models/image_record.py
index 27cbea011f..e386c33d1f 100644
--- a/invokeai/app/services/models/image_record.py
+++ b/invokeai/app/services/models/image_record.py
@@ -39,8 +39,8 @@ class ImageRecord(BaseModelExcludeNull):
         description="The node ID that generated this image, if it is a generated image.",
     )
     """The node ID that generated this image, if it is a generated image."""
-    pinned: bool = Field(description="Whether this image is pinned.")
-    """Whether this image is pinned."""
+    starred: bool = Field(description="Whether this image is starred.")
+    """Whether this image is starred."""
 
 
 class ImageRecordChanges(BaseModelExcludeNull, extra=Extra.forbid):
@@ -50,7 +50,7 @@ class ImageRecordChanges(BaseModelExcludeNull, extra=Extra.forbid):
       - `image_category`: change the category of an image
       - `session_id`: change the session associated with an image
       - `is_intermediate`: change the image's `is_intermediate` flag
-      - `pinned`: change whether the image is pinned
+      - `starred`: change whether the image is starred
     """
 
     image_category: Optional[ImageCategory] = Field(description="The image's new category.")
@@ -62,8 +62,8 @@ class ImageRecordChanges(BaseModelExcludeNull, extra=Extra.forbid):
     """The image's new session ID."""
     is_intermediate: Optional[StrictBool] = Field(default=None, description="The image's new `is_intermediate` flag.")
     """The image's new `is_intermediate` flag."""
-    pinned: Optional[StrictBool] = Field(default=None, description="The image's new `pinned` state")
-    """The image's new `pinned` state."""
+    starred: Optional[StrictBool] = Field(default=None, description="The image's new `starred` state")
+    """The image's new `starred` state."""
 
 
 class ImageUrlsDTO(BaseModelExcludeNull):
@@ -118,7 +118,7 @@ def deserialize_image_record(image_dict: dict) -> ImageRecord:
     updated_at = image_dict.get("updated_at", get_iso_timestamp())
     deleted_at = image_dict.get("deleted_at", get_iso_timestamp())
     is_intermediate = image_dict.get("is_intermediate", False)
-    pinned = image_dict.get("pinned", False)
+    starred = image_dict.get("starred", False)
 
     return ImageRecord(
         image_name=image_name,
@@ -132,5 +132,5 @@ def deserialize_image_record(image_dict: dict) -> ImageRecord:
         updated_at=updated_at,
         deleted_at=deleted_at,
         is_intermediate=is_intermediate,
-        pinned=pinned
+        starred=starred
     )

From 315a056686acde1a86b0c7ef0755b6f56c7880ea Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 16 Aug 2023 11:13:49 +1000
Subject: [PATCH 250/287] feat(ui): show `Star All` if selection is a mix of
 starred and unstarred

---
 .../components/ImageContextMenu/MultipleSelectionMenuItems.tsx  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
index cead80f362..f24f4bc330 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
@@ -55,7 +55,7 @@ const MultipleSelectionMenuItems = () => {
           Unstar All
         </MenuItem>
       )}
-      {areAllUnstarred && (
+      {(areAllUnstarred || (!areAllStarred && !areAllUnstarred)) && (
         <MenuItem icon={<MdStar />} onClickCapture={handleStarSelection}>
           Star All
         </MenuItem>

From 60c2c877d70d85aa8cf84b07e9d8fbf32849842c Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 16 Aug 2023 11:36:43 +1000
Subject: [PATCH 251/287] fix: add response model for star/unstar routes

- also implement pessimistic updates for starring, only changing the images that were successfully updated by backend
- some autoformat changes crept in
---
 invokeai/app/api/routers/images.py            |  30 ++-
 .../listeners/imagesStarred.ts                |   2 +-
 .../listeners/imagesUnstarred.ts              |   2 +-
 .../web/src/services/api/endpoints/images.ts  | 128 +++++-----
 .../frontend/web/src/services/api/schema.d.ts | 240 ++++++------------
 5 files changed, 169 insertions(+), 233 deletions(-)

diff --git a/invokeai/app/api/routers/images.py b/invokeai/app/api/routers/images.py
index f31c075a50..692dc7fd21 100644
--- a/invokeai/app/api/routers/images.py
+++ b/invokeai/app/api/routers/images.py
@@ -5,7 +5,7 @@ from PIL import Image
 from fastapi import Body, HTTPException, Path, Query, Request, Response, UploadFile
 from fastapi.responses import FileResponse
 from fastapi.routing import APIRouter
-from pydantic import BaseModel
+from pydantic import BaseModel, Field
 
 from invokeai.app.invocations.metadata import ImageMetadata
 from invokeai.app.models.image import ImageCategory, ResourceOrigin
@@ -19,6 +19,7 @@ from ..dependencies import ApiDependencies
 
 images_router = APIRouter(prefix="/v1/images", tags=["images"])
 
+
 # images are immutable; set a high max-age
 IMAGE_MAX_AGE = 31536000
 
@@ -286,30 +287,41 @@ async def delete_images_from_list(
         return DeleteImagesFromListResult(deleted_images=deleted_images)
     except Exception as e:
         raise HTTPException(status_code=500, detail="Failed to delete images")
-    
-    
-@images_router.post("/star", operation_id="star_images_in_list")
+
+
+class ImagesUpdatedFromListResult(BaseModel):
+    updated_image_names: list[str] = Field(description="The image names that were updated")
+
+
+@images_router.post("/star", operation_id="star_images_in_list", response_model=ImagesUpdatedFromListResult)
 async def star_images_in_list(
     image_names: list[str] = Body(description="The list of names of images to star", embed=True),
-):
+) -> ImagesUpdatedFromListResult:
     try:
+        updated_image_names: list[str] = []
         for image_name in image_names:
             try:
                 ApiDependencies.invoker.services.images.update(image_name, changes=ImageRecordChanges(starred=True))
+                updated_image_names.append(image_name)
             except:
                 pass
+        return ImagesUpdatedFromListResult(updated_image_names=updated_image_names)
     except Exception as e:
         raise HTTPException(status_code=500, detail="Failed to star images")
-    
-@images_router.post("/unstar", operation_id="unstar_images_in_list")
+
+
+@images_router.post("/unstar", operation_id="unstar_images_in_list", response_model=ImagesUpdatedFromListResult)
 async def unstar_images_in_list(
     image_names: list[str] = Body(description="The list of names of images to unstar", embed=True),
-):
+) -> ImagesUpdatedFromListResult:
     try:
+        updated_image_names: list[str] = []
         for image_name in image_names:
             try:
                 ApiDependencies.invoker.services.images.update(image_name, changes=ImageRecordChanges(starred=False))
+                updated_image_names.append(image_name)
             except:
                 pass
+        return ImagesUpdatedFromListResult(updated_image_names=updated_image_names)
     except Exception as e:
-        raise HTTPException(status_code=500, detail="Failed to unstar images")
\ No newline at end of file
+        raise HTTPException(status_code=500, detail="Failed to unstar images")
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesStarred.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesStarred.ts
index b5e7f5f087..5988eee207 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesStarred.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesStarred.ts
@@ -7,7 +7,7 @@ export const addImagesStarredListener = () => {
   startAppListening({
     matcher: imagesApi.endpoints.starImages.matchFulfilled,
     effect: async (action, { dispatch, getState }) => {
-      const { images: starredImages } = action.payload;
+      const { updated_image_names: starredImages } = action.payload;
 
       const state = getState();
 
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesUnstarred.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesUnstarred.ts
index c8fc8c7c8b..3df76861d4 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesUnstarred.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imagesUnstarred.ts
@@ -7,7 +7,7 @@ export const addImagesUnstarredListener = () => {
   startAppListening({
     matcher: imagesApi.endpoints.unstarImages.matchFulfilled,
     effect: async (action, { dispatch, getState }) => {
-      const { images: unstarredImages } = action.payload;
+      const { updated_image_names: unstarredImages } = action.payload;
 
       const state = getState();
 
diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index 7c849e45aa..e5bc6b6e7f 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -8,7 +8,7 @@ import {
 } from 'features/gallery/store/types';
 import { keyBy } from 'lodash';
 import { ApiFullTagDescription, LIST_TAG, api } from '..';
-import { components } from '../schema';
+import { components, paths } from '../schema';
 import {
   DeleteBoardResult,
   ImageCategory,
@@ -296,11 +296,11 @@ export const imagesApi = api.injectEndpoints({
             imageDTO.image_category
           )
             ? boardsApi.endpoints.getBoardImagesTotal.select(
-              imageDTO.board_id ?? 'none'
-            )(getState())
+                imageDTO.board_id ?? 'none'
+              )(getState())
             : boardsApi.endpoints.getBoardAssetsTotal.select(
-              imageDTO.board_id ?? 'none'
-            )(getState());
+                imageDTO.board_id ?? 'none'
+              )(getState());
 
           // IF it eligible for insertion into existing $cache
           // "eligible" means either:
@@ -391,13 +391,13 @@ export const imagesApi = api.injectEndpoints({
      * Star a list of images.
      */
     starImages: build.mutation<
-      { images: string[] },
+      paths['/api/v1/images/unstar']['post']['responses']['200']['content']['application/json'],
       { images: ImageDTO[] }
     >({
       query: ({ images }) => ({
         url: `images/star`,
         method: 'POST',
-        body: { image_names: images.map(img => img.image_name) },
+        body: { image_names: images.map((img) => img.image_name) },
       }),
       invalidatesTags: (result, error, { images }) => {
         // assume all images are on the same board/category
@@ -412,15 +412,11 @@ export const imagesApi = api.injectEndpoints({
                 categories,
               }),
             },
-          ]
+          ];
         }
-        return []
-
+        return [];
       },
-      async onQueryStarted(
-        { images },
-        { dispatch, queryFulfilled, getState }
-      ) {
+      async onQueryStarted({ images }, { dispatch, queryFulfilled, getState }) {
         try {
           /**
            * Cache changes for pinImages:
@@ -428,12 +424,18 @@ export const imagesApi = api.injectEndpoints({
            * - *upsert* into list for each image
            */
 
-          // assume all images are on the same board/category
-          if (!images[0]) return;
-          const categories = getCategories(images[0]);
-          const boardId = images[0].board_id;
+          const { data } = await queryFulfilled;
+          const updatedImages = images.filter((i) =>
+            data.updated_image_names.includes(i.image_name)
+          );
 
-          images.forEach((imageDTO) => {
+          if (!updatedImages[0]) return;
+
+          // assume all images are on the same board/category
+          const categories = getCategories(updatedImages[0]);
+          const boardId = updatedImages[0].board_id;
+
+          updatedImages.forEach((imageDTO) => {
             const { image_name } = imageDTO;
             dispatch(
               imagesApi.util.updateQueryData(
@@ -447,7 +449,7 @@ export const imagesApi = api.injectEndpoints({
 
             const queryArgs = {
               board_id: boardId ?? 'none',
-              categories
+              categories,
             };
 
             const currentCache = imagesApi.endpoints.listImages.select(
@@ -458,11 +460,11 @@ export const imagesApi = api.injectEndpoints({
               imageDTO.image_category
             )
               ? boardsApi.endpoints.getBoardImagesTotal.select(
-                boardId ?? 'none'
-              )(getState())
+                  boardId ?? 'none'
+                )(getState())
               : boardsApi.endpoints.getBoardAssetsTotal.select(
-                boardId ?? 'none'
-              )(getState());
+                  boardId ?? 'none'
+                )(getState());
 
             const isCacheFullyPopulated =
               currentCache.data &&
@@ -482,7 +484,7 @@ export const imagesApi = api.injectEndpoints({
                   (draft) => {
                     imagesAdapter.upsertOne(draft, {
                       ...imageDTO,
-                      starred: true
+                      starred: true,
                     });
                   }
                 )
@@ -498,13 +500,13 @@ export const imagesApi = api.injectEndpoints({
      * Unstar a list of images.
      */
     unstarImages: build.mutation<
-      { images: string[] },
+      paths['/api/v1/images/unstar']['post']['responses']['200']['content']['application/json'],
       { images: ImageDTO[] }
     >({
       query: ({ images }) => ({
         url: `images/unstar`,
         method: 'POST',
-        body: { image_names: images.map(img => img.image_name) },
+        body: { image_names: images.map((img) => img.image_name) },
       }),
       invalidatesTags: (result, error, { images }) => {
         // assume all images are on the same board/category
@@ -519,15 +521,11 @@ export const imagesApi = api.injectEndpoints({
                 categories,
               }),
             },
-          ]
+          ];
         }
-        return []
-
+        return [];
       },
-      async onQueryStarted(
-        { images },
-        { dispatch, queryFulfilled, getState }
-      ) {
+      async onQueryStarted({ images }, { dispatch, queryFulfilled, getState }) {
         try {
           /**
            * Cache changes for unstarImages:
@@ -535,12 +533,17 @@ export const imagesApi = api.injectEndpoints({
            * - *upsert* into list for each image
            */
 
-          // assume all images are on the same board/category
-          if (!images[0]) return;
-          const categories = getCategories(images[0]);
-          const boardId = images[0].board_id;
+          const { data } = await queryFulfilled;
+          const updatedImages = images.filter((i) =>
+            data.updated_image_names.includes(i.image_name)
+          );
 
-          images.forEach((imageDTO) => {
+          if (!updatedImages[0]) return;
+          // assume all images are on the same board/category
+          const categories = getCategories(updatedImages[0]);
+          const boardId = updatedImages[0].board_id;
+
+          updatedImages.forEach((imageDTO) => {
             const { image_name } = imageDTO;
             dispatch(
               imagesApi.util.updateQueryData(
@@ -552,10 +555,9 @@ export const imagesApi = api.injectEndpoints({
               )
             );
 
-
             const queryArgs = {
               board_id: boardId ?? 'none',
-              categories
+              categories,
             };
 
             const currentCache = imagesApi.endpoints.listImages.select(
@@ -566,11 +568,11 @@ export const imagesApi = api.injectEndpoints({
               imageDTO.image_category
             )
               ? boardsApi.endpoints.getBoardImagesTotal.select(
-                boardId ?? 'none'
-              )(getState())
+                  boardId ?? 'none'
+                )(getState())
               : boardsApi.endpoints.getBoardAssetsTotal.select(
-                boardId ?? 'none'
-              )(getState());
+                  boardId ?? 'none'
+                )(getState());
 
             const isCacheFullyPopulated =
               currentCache.data &&
@@ -590,7 +592,7 @@ export const imagesApi = api.injectEndpoints({
                   (draft) => {
                     imagesAdapter.upsertOne(draft, {
                       ...imageDTO,
-                      starred: false
+                      starred: false,
                     });
                   }
                 )
@@ -941,11 +943,11 @@ export const imagesApi = api.injectEndpoints({
             imageDTO.image_category
           )
             ? boardsApi.endpoints.getBoardImagesTotal.select(
-              imageDTO.board_id ?? 'none'
-            )(getState())
+                imageDTO.board_id ?? 'none'
+              )(getState())
             : boardsApi.endpoints.getBoardAssetsTotal.select(
-              imageDTO.board_id ?? 'none'
-            )(getState());
+                imageDTO.board_id ?? 'none'
+              )(getState());
 
           const isCacheFullyPopulated =
             currentCache.data && currentCache.data.ids.length >= (total ?? 0);
@@ -1061,11 +1063,11 @@ export const imagesApi = api.injectEndpoints({
           imageDTO.image_category
         )
           ? boardsApi.endpoints.getBoardImagesTotal.select(
-            imageDTO.board_id ?? 'none'
-          )(getState())
+              imageDTO.board_id ?? 'none'
+            )(getState())
           : boardsApi.endpoints.getBoardAssetsTotal.select(
-            imageDTO.board_id ?? 'none'
-          )(getState());
+              imageDTO.board_id ?? 'none'
+            )(getState());
 
         const isCacheFullyPopulated =
           currentCache.data && currentCache.data.ids.length >= (total ?? 0);
@@ -1188,11 +1190,11 @@ export const imagesApi = api.injectEndpoints({
               imageDTO.image_category
             )
               ? boardsApi.endpoints.getBoardImagesTotal.select(
-                new_board_id ?? 'none'
-              )(getState())
+                  new_board_id ?? 'none'
+                )(getState())
               : boardsApi.endpoints.getBoardAssetsTotal.select(
-                new_board_id ?? 'none'
-              )(getState());
+                  new_board_id ?? 'none'
+                )(getState());
 
             const isCacheFullyPopulated =
               currentCache.data &&
@@ -1319,11 +1321,11 @@ export const imagesApi = api.injectEndpoints({
               imageDTO.image_category
             )
               ? boardsApi.endpoints.getBoardImagesTotal.select(
-                imageDTO.board_id ?? 'none'
-              )(getState())
+                  imageDTO.board_id ?? 'none'
+                )(getState())
               : boardsApi.endpoints.getBoardAssetsTotal.select(
-                imageDTO.board_id ?? 'none'
-              )(getState());
+                  imageDTO.board_id ?? 'none'
+                )(getState());
 
             const isCacheFullyPopulated =
               currentCache.data && currentCache.data.ids.length >= (total ?? 0);
@@ -1376,5 +1378,5 @@ export const {
   useDeleteBoardAndImagesMutation,
   useDeleteBoardMutation,
   useStarImagesMutation,
-  useUnstarImagesMutation
+  useUnstarImagesMutation,
 } = imagesApi;
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index bac9f1ae96..8d0ddee429 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -1958,10 +1958,8 @@ export type components = {
               | components['schemas']['SDXLLoraLoaderInvocation']
               | components['schemas']['VaeLoaderInvocation']
               | components['schemas']['MetadataAccumulatorInvocation']
-              | components['schemas']['RangeInvocation']
-              | components['schemas']['RangeOfSizeInvocation']
-              | components['schemas']['RandomRangeInvocation']
-              | components['schemas']['ImageCollectionInvocation']
+              | components['schemas']['SDXLModelLoaderInvocation']
+              | components['schemas']['SDXLRefinerModelLoaderInvocation']
               | components['schemas']['CompelInvocation']
               | components['schemas']['SDXLCompelPromptInvocation']
               | components['schemas']['SDXLRefinerCompelPromptInvocation']
@@ -1987,21 +1985,11 @@ export type components = {
               | components['schemas']['ImageHueAdjustmentInvocation']
               | components['schemas']['ImageLuminosityAdjustmentInvocation']
               | components['schemas']['ImageSaturationAdjustmentInvocation']
-              | components['schemas']['CvInpaintInvocation']
-              | components['schemas']['InfillColorInvocation']
-              | components['schemas']['InfillTileInvocation']
-              | components['schemas']['InfillPatchMatchInvocation']
               | components['schemas']['DenoiseLatentsInvocation']
               | components['schemas']['LatentsToImageInvocation']
               | components['schemas']['ResizeLatentsInvocation']
               | components['schemas']['ScaleLatentsInvocation']
               | components['schemas']['ImageToLatentsInvocation']
-              | components['schemas']['AddInvocation']
-              | components['schemas']['SubtractInvocation']
-              | components['schemas']['MultiplyInvocation']
-              | components['schemas']['DivideInvocation']
-              | components['schemas']['RandomIntInvocation']
-              | components['schemas']['NoiseInvocation']
               | components['schemas']['ONNXPromptInvocation']
               | components['schemas']['ONNXTextToLatentsInvocation']
               | components['schemas']['ONNXLatentsToImageInvocation']
@@ -2009,15 +1997,27 @@ export type components = {
               | components['schemas']['OnnxModelLoaderInvocation']
               | components['schemas']['DynamicPromptInvocation']
               | components['schemas']['PromptsFromFileInvocation']
+              | components['schemas']['AddInvocation']
+              | components['schemas']['SubtractInvocation']
+              | components['schemas']['MultiplyInvocation']
+              | components['schemas']['DivideInvocation']
+              | components['schemas']['RandomIntInvocation']
               | components['schemas']['ParamIntInvocation']
               | components['schemas']['ParamFloatInvocation']
               | components['schemas']['ParamStringInvocation']
               | components['schemas']['ParamPromptInvocation']
+              | components['schemas']['CvInpaintInvocation']
+              | components['schemas']['RangeInvocation']
+              | components['schemas']['RangeOfSizeInvocation']
+              | components['schemas']['RandomRangeInvocation']
+              | components['schemas']['ImageCollectionInvocation']
               | components['schemas']['FloatLinearRangeInvocation']
               | components['schemas']['StepParamEasingInvocation']
-              | components['schemas']['SDXLModelLoaderInvocation']
-              | components['schemas']['SDXLRefinerModelLoaderInvocation']
+              | components['schemas']['NoiseInvocation']
               | components['schemas']['ESRGANInvocation']
+              | components['schemas']['InfillColorInvocation']
+              | components['schemas']['InfillTileInvocation']
+              | components['schemas']['InfillPatchMatchInvocation']
               | components['schemas']['GraphInvocation']
               | components['schemas']['IterateInvocation']
               | components['schemas']['CollectInvocation']
@@ -2082,22 +2082,8 @@ export type components = {
       results: {
         [key: string]:
           | (
-              | components['schemas']['BooleanOutput']
-              | components['schemas']['BooleanCollectionOutput']
-              | components['schemas']['IntegerOutput']
-              | components['schemas']['IntegerCollectionOutput']
-              | components['schemas']['FloatOutput']
-              | components['schemas']['FloatCollectionOutput']
-              | components['schemas']['StringOutput']
-              | components['schemas']['StringCollectionOutput']
               | components['schemas']['ImageOutput']
-              | components['schemas']['ImageCollectionOutput']
-              | components['schemas']['LatentsOutput']
-              | components['schemas']['LatentsCollectionOutput']
-              | components['schemas']['ColorOutput']
-              | components['schemas']['ColorCollectionOutput']
-              | components['schemas']['ConditioningOutput']
-              | components['schemas']['ConditioningCollectionOutput']
+              | components['schemas']['MaskOutput']
               | components['schemas']['ControlOutput']
               | components['schemas']['ModelLoaderOutput']
               | components['schemas']['LoraLoaderOutput']
@@ -2106,8 +2092,18 @@ export type components = {
               | components['schemas']['MetadataAccumulatorOutput']
               | components['schemas']['SDXLModelLoaderOutput']
               | components['schemas']['SDXLRefinerModelLoaderOutput']
+              | components['schemas']['CompelOutput']
               | components['schemas']['ClipSkipInvocationOutput']
+              | components['schemas']['LatentsOutput']
               | components['schemas']['ONNXModelLoaderOutput']
+              | components['schemas']['PromptOutput']
+              | components['schemas']['PromptCollectionOutput']
+              | components['schemas']['IntOutput']
+              | components['schemas']['FloatOutput']
+              | components['schemas']['StringOutput']
+              | components['schemas']['IntCollectionOutput']
+              | components['schemas']['FloatCollectionOutput']
+              | components['schemas']['ImageCollectionOutput']
               | components['schemas']['NoiseOutput']
               | components['schemas']['GraphInvocationOutput']
               | components['schemas']['IterateInvocationOutput']
@@ -3175,6 +3171,14 @@ export type components = {
        */
       metadata?: components['schemas']['CoreMetadata'];
     };
+    /** ImagesUpdatedFromListResult */
+    ImagesUpdatedFromListResult: {
+      /**
+       * Updated Image Names
+       * @description The image names that were updated
+       */
+      updated_image_names: string[];
+    };
     /**
      * Solid Color Infill
      * @description Infills transparent areas of an image with a solid color
@@ -6405,100 +6409,6 @@ export type components = {
        */
       image?: components['schemas']['ImageField'];
     };
-    /**
-     * StableDiffusion2ModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    Input: 'connection' | 'direct' | 'any';
-    /**
-     * ControlNetModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    ControlNetModelFormat: 'checkpoint' | 'diffusers';
-    /**
-     * StableDiffusion1ModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    UIType:
-      | 'integer'
-      | 'float'
-      | 'boolean'
-      | 'string'
-      | 'array'
-      | 'ImageField'
-      | 'LatentsField'
-      | 'ConditioningField'
-      | 'ControlField'
-      | 'ColorField'
-      | 'ImageCollection'
-      | 'ConditioningCollection'
-      | 'ColorCollection'
-      | 'LatentsCollection'
-      | 'IntegerCollection'
-      | 'FloatCollection'
-      | 'StringCollection'
-      | 'BooleanCollection'
-      | 'MainModelField'
-      | 'SDXLMainModelField'
-      | 'SDXLRefinerModelField'
-      | 'ONNXModelField'
-      | 'VaeModelField'
-      | 'LoRAModelField'
-      | 'ControlNetModelField'
-      | 'UNetField'
-      | 'VaeField'
-      | 'ClipField'
-      | 'Collection'
-      | 'CollectionItem'
-      | 'FilePath'
-      | 'enum';
-    /**
-     * StableDiffusionOnnxModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusionOnnxModelFormat: 'olive' | 'onnx';
-    /**
-     * _InputField
-     * @description *DO NOT USE*
-     * This helper class is used to tell the client about our custom field attributes via OpenAPI
-     * schema generation, and Typescript type generation from that schema. It serves no functional
-     * purpose in the backend.
-     */
-    _InputField: {
-      input: components['schemas']['Input'];
-      /** Ui Hidden */
-      ui_hidden: boolean;
-      ui_type?: components['schemas']['UIType'];
-      ui_component?: components['schemas']['UIComponent'];
-    };
-    /**
-     * _OutputField
-     * @description *DO NOT USE*
-     * This helper class is used to tell the client about our custom field attributes via OpenAPI
-     * schema generation, and Typescript type generation from that schema. It serves no functional
-     * purpose in the backend.
-     */
-    _OutputField: {
-      /** Ui Hidden */
-      ui_hidden: boolean;
-      ui_type?: components['schemas']['UIType'];
-    };
-    /**
-     * StableDiffusionXLModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusionXLModelFormat: 'checkpoint' | 'diffusers';
-    /**
-     * StableDiffusion1ModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusion1ModelFormat: 'checkpoint' | 'diffusers';
     /**
      * ControlNetModelFormat
      * @description An enumeration.
@@ -6511,12 +6421,24 @@ export type components = {
      * @enum {string}
      */
     StableDiffusion2ModelFormat: 'checkpoint' | 'diffusers';
+    /**
+     * StableDiffusionXLModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusionXLModelFormat: 'checkpoint' | 'diffusers';
     /**
      * StableDiffusionOnnxModelFormat
      * @description An enumeration.
      * @enum {string}
      */
     StableDiffusionOnnxModelFormat: 'olive' | 'onnx';
+    /**
+     * StableDiffusion1ModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusion1ModelFormat: 'checkpoint' | 'diffusers';
   };
   responses: never;
   parameters: never;
@@ -6634,10 +6556,8 @@ export type operations = {
           | components['schemas']['SDXLLoraLoaderInvocation']
           | components['schemas']['VaeLoaderInvocation']
           | components['schemas']['MetadataAccumulatorInvocation']
-          | components['schemas']['RangeInvocation']
-          | components['schemas']['RangeOfSizeInvocation']
-          | components['schemas']['RandomRangeInvocation']
-          | components['schemas']['ImageCollectionInvocation']
+          | components['schemas']['SDXLModelLoaderInvocation']
+          | components['schemas']['SDXLRefinerModelLoaderInvocation']
           | components['schemas']['CompelInvocation']
           | components['schemas']['SDXLCompelPromptInvocation']
           | components['schemas']['SDXLRefinerCompelPromptInvocation']
@@ -6663,21 +6583,11 @@ export type operations = {
           | components['schemas']['ImageHueAdjustmentInvocation']
           | components['schemas']['ImageLuminosityAdjustmentInvocation']
           | components['schemas']['ImageSaturationAdjustmentInvocation']
-          | components['schemas']['CvInpaintInvocation']
-          | components['schemas']['InfillColorInvocation']
-          | components['schemas']['InfillTileInvocation']
-          | components['schemas']['InfillPatchMatchInvocation']
           | components['schemas']['DenoiseLatentsInvocation']
           | components['schemas']['LatentsToImageInvocation']
           | components['schemas']['ResizeLatentsInvocation']
           | components['schemas']['ScaleLatentsInvocation']
           | components['schemas']['ImageToLatentsInvocation']
-          | components['schemas']['AddInvocation']
-          | components['schemas']['SubtractInvocation']
-          | components['schemas']['MultiplyInvocation']
-          | components['schemas']['DivideInvocation']
-          | components['schemas']['RandomIntInvocation']
-          | components['schemas']['NoiseInvocation']
           | components['schemas']['ONNXPromptInvocation']
           | components['schemas']['ONNXTextToLatentsInvocation']
           | components['schemas']['ONNXLatentsToImageInvocation']
@@ -6685,15 +6595,27 @@ export type operations = {
           | components['schemas']['OnnxModelLoaderInvocation']
           | components['schemas']['DynamicPromptInvocation']
           | components['schemas']['PromptsFromFileInvocation']
+          | components['schemas']['AddInvocation']
+          | components['schemas']['SubtractInvocation']
+          | components['schemas']['MultiplyInvocation']
+          | components['schemas']['DivideInvocation']
+          | components['schemas']['RandomIntInvocation']
           | components['schemas']['ParamIntInvocation']
           | components['schemas']['ParamFloatInvocation']
           | components['schemas']['ParamStringInvocation']
           | components['schemas']['ParamPromptInvocation']
+          | components['schemas']['CvInpaintInvocation']
+          | components['schemas']['RangeInvocation']
+          | components['schemas']['RangeOfSizeInvocation']
+          | components['schemas']['RandomRangeInvocation']
+          | components['schemas']['ImageCollectionInvocation']
           | components['schemas']['FloatLinearRangeInvocation']
           | components['schemas']['StepParamEasingInvocation']
-          | components['schemas']['SDXLModelLoaderInvocation']
-          | components['schemas']['SDXLRefinerModelLoaderInvocation']
+          | components['schemas']['NoiseInvocation']
           | components['schemas']['ESRGANInvocation']
+          | components['schemas']['InfillColorInvocation']
+          | components['schemas']['InfillTileInvocation']
+          | components['schemas']['InfillPatchMatchInvocation']
           | components['schemas']['GraphInvocation']
           | components['schemas']['IterateInvocation']
           | components['schemas']['CollectInvocation']
@@ -6756,10 +6678,8 @@ export type operations = {
           | components['schemas']['SDXLLoraLoaderInvocation']
           | components['schemas']['VaeLoaderInvocation']
           | components['schemas']['MetadataAccumulatorInvocation']
-          | components['schemas']['RangeInvocation']
-          | components['schemas']['RangeOfSizeInvocation']
-          | components['schemas']['RandomRangeInvocation']
-          | components['schemas']['ImageCollectionInvocation']
+          | components['schemas']['SDXLModelLoaderInvocation']
+          | components['schemas']['SDXLRefinerModelLoaderInvocation']
           | components['schemas']['CompelInvocation']
           | components['schemas']['SDXLCompelPromptInvocation']
           | components['schemas']['SDXLRefinerCompelPromptInvocation']
@@ -6785,21 +6705,11 @@ export type operations = {
           | components['schemas']['ImageHueAdjustmentInvocation']
           | components['schemas']['ImageLuminosityAdjustmentInvocation']
           | components['schemas']['ImageSaturationAdjustmentInvocation']
-          | components['schemas']['CvInpaintInvocation']
-          | components['schemas']['InfillColorInvocation']
-          | components['schemas']['InfillTileInvocation']
-          | components['schemas']['InfillPatchMatchInvocation']
           | components['schemas']['DenoiseLatentsInvocation']
           | components['schemas']['LatentsToImageInvocation']
           | components['schemas']['ResizeLatentsInvocation']
           | components['schemas']['ScaleLatentsInvocation']
           | components['schemas']['ImageToLatentsInvocation']
-          | components['schemas']['AddInvocation']
-          | components['schemas']['SubtractInvocation']
-          | components['schemas']['MultiplyInvocation']
-          | components['schemas']['DivideInvocation']
-          | components['schemas']['RandomIntInvocation']
-          | components['schemas']['NoiseInvocation']
           | components['schemas']['ONNXPromptInvocation']
           | components['schemas']['ONNXTextToLatentsInvocation']
           | components['schemas']['ONNXLatentsToImageInvocation']
@@ -6807,15 +6717,27 @@ export type operations = {
           | components['schemas']['OnnxModelLoaderInvocation']
           | components['schemas']['DynamicPromptInvocation']
           | components['schemas']['PromptsFromFileInvocation']
+          | components['schemas']['AddInvocation']
+          | components['schemas']['SubtractInvocation']
+          | components['schemas']['MultiplyInvocation']
+          | components['schemas']['DivideInvocation']
+          | components['schemas']['RandomIntInvocation']
           | components['schemas']['ParamIntInvocation']
           | components['schemas']['ParamFloatInvocation']
           | components['schemas']['ParamStringInvocation']
           | components['schemas']['ParamPromptInvocation']
+          | components['schemas']['CvInpaintInvocation']
+          | components['schemas']['RangeInvocation']
+          | components['schemas']['RangeOfSizeInvocation']
+          | components['schemas']['RandomRangeInvocation']
+          | components['schemas']['ImageCollectionInvocation']
           | components['schemas']['FloatLinearRangeInvocation']
           | components['schemas']['StepParamEasingInvocation']
-          | components['schemas']['SDXLModelLoaderInvocation']
-          | components['schemas']['SDXLRefinerModelLoaderInvocation']
+          | components['schemas']['NoiseInvocation']
           | components['schemas']['ESRGANInvocation']
+          | components['schemas']['InfillColorInvocation']
+          | components['schemas']['InfillTileInvocation']
+          | components['schemas']['InfillPatchMatchInvocation']
           | components['schemas']['GraphInvocation']
           | components['schemas']['IterateInvocation']
           | components['schemas']['CollectInvocation']
@@ -7718,7 +7640,7 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': unknown;
+          'application/json': components['schemas']['ImagesUpdatedFromListResult'];
         };
       };
       /** @description Validation Error */
@@ -7740,7 +7662,7 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': unknown;
+          'application/json': components['schemas']['ImagesUpdatedFromListResult'];
         };
       };
       /** @description Validation Error */

From 8b1ec2685f0216c6ed4dddae8791a3555a05defd Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 16 Aug 2023 11:38:47 +1000
Subject: [PATCH 252/287] chore: black

---
 invokeai/app/services/image_record_storage.py | 8 ++++----
 invokeai/app/services/models/image_record.py  | 2 +-
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/invokeai/app/services/image_record_storage.py b/invokeai/app/services/image_record_storage.py
index 53d792a577..aa71431b7f 100644
--- a/invokeai/app/services/image_record_storage.py
+++ b/invokeai/app/services/image_record_storage.py
@@ -67,7 +67,7 @@ IMAGE_DTO_COLS = ", ".join(
                 "created_at",
                 "updated_at",
                 "deleted_at",
-                "starred"
+                "starred",
             ],
         )
     )
@@ -140,7 +140,7 @@ class ImageRecordStorageBase(ABC):
         node_id: Optional[str],
         metadata: Optional[dict],
         is_intermediate: bool = False,
-        starred: bool = False
+        starred: bool = False,
     ) -> datetime:
         """Saves an image record."""
         pass
@@ -204,7 +204,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
 
         self._cursor.execute("PRAGMA table_info(images)")
         columns = [column[1] for column in self._cursor.fetchall()]
-        
+
         if "starred" not in columns:
             self._cursor.execute(
                 """--sql
@@ -529,7 +529,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
         node_id: Optional[str],
         metadata: Optional[dict],
         is_intermediate: bool = False,
-        starred: bool = False
+        starred: bool = False,
     ) -> datetime:
         try:
             metadata_json = None if metadata is None else json.dumps(metadata)
diff --git a/invokeai/app/services/models/image_record.py b/invokeai/app/services/models/image_record.py
index e386c33d1f..a480fd0efd 100644
--- a/invokeai/app/services/models/image_record.py
+++ b/invokeai/app/services/models/image_record.py
@@ -132,5 +132,5 @@ def deserialize_image_record(image_dict: dict) -> ImageRecord:
         updated_at=updated_at,
         deleted_at=deleted_at,
         is_intermediate=is_intermediate,
-        starred=starred
+        starred=starred,
     )

From 230131646f85d74683f5b44adf606994c250c9a2 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 16 Aug 2023 11:45:21 +1000
Subject: [PATCH 253/287] feat(ui): use `imageDTOs` instead of `images` in
 starring queries

---
 .../MultipleSelectionMenuItems.tsx            |  4 +--
 .../SingleSelectionMenuItems.tsx              |  4 +--
 .../components/ImageGrid/GalleryImage.tsx     |  4 +--
 .../web/src/services/api/endpoints/images.ts  | 26 ++++++++++++-------
 4 files changed, 22 insertions(+), 16 deletions(-)

diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
index f24f4bc330..0f36273122 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
@@ -30,11 +30,11 @@ const MultipleSelectionMenuItems = () => {
   }, [dispatch, selection]);
 
   const handleStarSelection = useCallback(() => {
-    starImages({ images: selection });
+    starImages({ imageDTOs: selection });
   }, [starImages, selection]);
 
   const handleUnstarSelection = useCallback(() => {
-    unstarImages({ images: selection });
+    unstarImages({ imageDTOs: selection });
   }, [unstarImages, selection]);
 
   const areAllStarred = useMemo(() => {
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
index b6100ca358..ef6e2ccd5c 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx
@@ -136,11 +136,11 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => {
   }, [copyImageToClipboard, imageDTO.image_url]);
 
   const handleStarImage = useCallback(() => {
-    if (imageDTO) starImages({ images: [imageDTO] });
+    if (imageDTO) starImages({ imageDTOs: [imageDTO] });
   }, [starImages, imageDTO]);
 
   const handleUnstarImage = useCallback(() => {
-    if (imageDTO) unstarImages({ images: [imageDTO] });
+    if (imageDTO) unstarImages({ imageDTOs: [imageDTO] });
   }, [unstarImages, imageDTO]);
 
   return (
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
index 9122563524..a7854f4041 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
@@ -71,10 +71,10 @@ const GalleryImage = (props: HoverableImageProps) => {
   const toggleStarredState = useCallback(() => {
     if (imageDTO) {
       if (imageDTO.starred) {
-        unstarImages({ images: [imageDTO] });
+        unstarImages({ imageDTOs: [imageDTO] });
       }
       if (!imageDTO.starred) {
-        starImages({ images: [imageDTO] });
+        starImages({ imageDTOs: [imageDTO] });
       }
     }
   }, [starImages, unstarImages, imageDTO]);
diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index e5bc6b6e7f..aec3534511 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -392,14 +392,14 @@ export const imagesApi = api.injectEndpoints({
      */
     starImages: build.mutation<
       paths['/api/v1/images/unstar']['post']['responses']['200']['content']['application/json'],
-      { images: ImageDTO[] }
+      { imageDTOs: ImageDTO[] }
     >({
-      query: ({ images }) => ({
+      query: ({ imageDTOs: images }) => ({
         url: `images/star`,
         method: 'POST',
         body: { image_names: images.map((img) => img.image_name) },
       }),
-      invalidatesTags: (result, error, { images }) => {
+      invalidatesTags: (result, error, { imageDTOs: images }) => {
         // assume all images are on the same board/category
         if (images[0]) {
           const categories = getCategories(images[0]);
@@ -416,7 +416,10 @@ export const imagesApi = api.injectEndpoints({
         }
         return [];
       },
-      async onQueryStarted({ images }, { dispatch, queryFulfilled, getState }) {
+      async onQueryStarted(
+        { imageDTOs },
+        { dispatch, queryFulfilled, getState }
+      ) {
         try {
           /**
            * Cache changes for pinImages:
@@ -425,7 +428,7 @@ export const imagesApi = api.injectEndpoints({
            */
 
           const { data } = await queryFulfilled;
-          const updatedImages = images.filter((i) =>
+          const updatedImages = imageDTOs.filter((i) =>
             data.updated_image_names.includes(i.image_name)
           );
 
@@ -501,14 +504,14 @@ export const imagesApi = api.injectEndpoints({
      */
     unstarImages: build.mutation<
       paths['/api/v1/images/unstar']['post']['responses']['200']['content']['application/json'],
-      { images: ImageDTO[] }
+      { imageDTOs: ImageDTO[] }
     >({
-      query: ({ images }) => ({
+      query: ({ imageDTOs: images }) => ({
         url: `images/unstar`,
         method: 'POST',
         body: { image_names: images.map((img) => img.image_name) },
       }),
-      invalidatesTags: (result, error, { images }) => {
+      invalidatesTags: (result, error, { imageDTOs: images }) => {
         // assume all images are on the same board/category
         if (images[0]) {
           const categories = getCategories(images[0]);
@@ -525,7 +528,10 @@ export const imagesApi = api.injectEndpoints({
         }
         return [];
       },
-      async onQueryStarted({ images }, { dispatch, queryFulfilled, getState }) {
+      async onQueryStarted(
+        { imageDTOs },
+        { dispatch, queryFulfilled, getState }
+      ) {
         try {
           /**
            * Cache changes for unstarImages:
@@ -534,7 +540,7 @@ export const imagesApi = api.injectEndpoints({
            */
 
           const { data } = await queryFulfilled;
-          const updatedImages = images.filter((i) =>
+          const updatedImages = imageDTOs.filter((i) =>
             data.updated_image_names.includes(i.image_name)
           );
 

From 5b1099193d827b5c753c79dd7ab57b94984f0bc9 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 16 Aug 2023 11:49:00 +1000
Subject: [PATCH 254/287] fix(ui): restore reset button in node image component

---
 .../components/fields/fieldTypes/ImageInputField.tsx   | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageInputField.tsx
index e5bb06c4c6..f9f9c404d7 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageInputField.tsx
@@ -2,6 +2,7 @@ import { Flex } from '@chakra-ui/react';
 import { skipToken } from '@reduxjs/toolkit/dist/query';
 import { useAppDispatch } from 'app/store/storeHooks';
 import IAIDndImage from 'common/components/IAIDndImage';
+import IAIDndImageIcon from 'common/components/IAIDndImageIcon';
 import {
   TypesafeDraggableData,
   TypesafeDroppableData,
@@ -12,6 +13,7 @@ import {
   ImageInputFieldValue,
 } from 'features/nodes/types/types';
 import { memo, useCallback, useMemo } from 'react';
+import { FaUndo } from 'react-icons/fa';
 import { useGetImageDTOQuery } from 'services/api/endpoints/images';
 import { PostUploadAction } from 'services/api/types';
 import { FieldComponentProps } from './types';
@@ -80,7 +82,13 @@ const ImageInputFieldComponent = (
         draggableData={draggableData}
         postUploadAction={postUploadAction}
         useThumbailFallback
-      />
+      >
+        <IAIDndImageIcon
+          onClick={handleReset}
+          icon={imageDTO ? <FaUndo /> : undefined}
+          tooltip="Reset Image"
+        />
+      </IAIDndImage>
     </Flex>
   );
 };

From 0f8606914e334662b662fa54beeb05aad0251bd7 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 16 Aug 2023 11:50:57 +1000
Subject: [PATCH 255/287] feat(ui): remove `shouldShowDeleteButton`

- remove this state entirely
- use `state.hotkeys.shift` directly to hide and show the icon on gallery
- also formatting
---
 .../web/src/common/components/IAIDndImage.tsx | 35 ++++++++++++-------
 .../src/common/components/IAIDndImageIcon.tsx |  4 +--
 .../components/ControlNetImagePreview.tsx     | 17 ++-------
 .../components/ImageGrid/GalleryImage.tsx     | 22 +++++++-----
 .../components/ImageGrid/GalleryImageGrid.tsx | 22 +-----------
 .../features/gallery/store/gallerySlice.ts    |  5 ---
 .../web/src/features/gallery/store/types.ts   |  1 -
 .../frontend/web/src/services/api/util.ts     | 15 ++++----
 8 files changed, 51 insertions(+), 70 deletions(-)

diff --git a/invokeai/frontend/web/src/common/components/IAIDndImage.tsx b/invokeai/frontend/web/src/common/components/IAIDndImage.tsx
index b7b2e35342..403a6cd5c5 100644
--- a/invokeai/frontend/web/src/common/components/IAIDndImage.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIDndImage.tsx
@@ -1,4 +1,11 @@
-import { ChakraProps, Flex, Icon, Image, useColorMode } from '@chakra-ui/react';
+import {
+  ChakraProps,
+  Flex,
+  FlexProps,
+  Icon,
+  Image,
+  useColorMode,
+} from '@chakra-ui/react';
 import {
   IAILoadingImageFallback,
   IAINoContentFallback,
@@ -25,7 +32,7 @@ import {
   TypesafeDroppableData,
 } from 'features/dnd/types';
 
-type IAIDndImageProps = {
+type IAIDndImageProps = FlexProps & {
   imageDTO: ImageDTO | undefined;
   onError?: (event: SyntheticEvent<HTMLImageElement>) => void;
   onLoad?: (event: SyntheticEvent<HTMLImageElement>) => void;
@@ -47,8 +54,6 @@ type IAIDndImageProps = {
   useThumbailFallback?: boolean;
   withHoverOverlay?: boolean;
   children?: JSX.Element;
-  onMouseOver?: () => void;
-  onMouseOut?: () => void;
 };
 
 const IAIDndImage = (props: IAIDndImageProps) => {
@@ -79,14 +84,20 @@ const IAIDndImage = (props: IAIDndImageProps) => {
 
   const { colorMode } = useColorMode();
   const [isHovered, setIsHovered] = useState(false);
-  const handleMouseOver = useCallback(() => {
-    if (onMouseOver) onMouseOver();
-    setIsHovered(true);
-  }, [onMouseOver]);
-  const handleMouseOut = useCallback(() => {
-    if (onMouseOut) onMouseOut();
-    setIsHovered(false);
-  }, [onMouseOut]);
+  const handleMouseOver = useCallback(
+    (e: MouseEvent<HTMLDivElement>) => {
+      if (onMouseOver) onMouseOver(e);
+      setIsHovered(true);
+    },
+    [onMouseOver]
+  );
+  const handleMouseOut = useCallback(
+    (e: MouseEvent<HTMLDivElement>) => {
+      if (onMouseOut) onMouseOut(e);
+      setIsHovered(false);
+    },
+    [onMouseOut]
+  );
 
   const { getUploadButtonProps, getUploadInputProps } = useImageUploadButton({
     postUploadAction,
diff --git a/invokeai/frontend/web/src/common/components/IAIDndImageIcon.tsx b/invokeai/frontend/web/src/common/components/IAIDndImageIcon.tsx
index 2e16377175..fb7742d088 100644
--- a/invokeai/frontend/web/src/common/components/IAIDndImageIcon.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIDndImageIcon.tsx
@@ -1,6 +1,6 @@
-import { JSXElementConstructor, ReactElement, memo, MouseEvent } from 'react';
-import IAIIconButton from './IAIIconButton';
 import { SystemStyleObject, useColorModeValue } from '@chakra-ui/react';
+import { JSXElementConstructor, MouseEvent, ReactElement, memo } from 'react';
+import IAIIconButton from './IAIIconButton';
 
 type Props = {
   onClick: (event: MouseEvent<HTMLButtonElement>) => void;
diff --git a/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx b/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx
index 901a86fd4e..0683282811 100644
--- a/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx
+++ b/invokeai/frontend/web/src/features/controlNet/components/ControlNetImagePreview.tsx
@@ -1,10 +1,4 @@
-import {
-  Box,
-  Flex,
-  Spinner,
-  SystemStyleObject,
-  useColorModeValue,
-} from '@chakra-ui/react';
+import { Box, Flex, Spinner, SystemStyleObject } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { skipToken } from '@reduxjs/toolkit/dist/query';
 import {
@@ -16,14 +10,14 @@ import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIDndImage from 'common/components/IAIDndImage';
 import { memo, useCallback, useMemo, useState } from 'react';
+import { FaUndo } from 'react-icons/fa';
 import { useGetImageDTOQuery } from 'services/api/endpoints/images';
 import { PostUploadAction } from 'services/api/types';
+import IAIDndImageIcon from '../../../common/components/IAIDndImageIcon';
 import {
   ControlNetConfig,
   controlNetImageChanged,
 } from '../store/controlNetSlice';
-import { FaUndo } from 'react-icons/fa';
-import IAIDndImageIcon from '../../../common/components/IAIDndImageIcon';
 
 type Props = {
   controlNet: ControlNetConfig;
@@ -101,11 +95,6 @@ const ControlNetImagePreview = (props: Props) => {
     [controlNetId]
   );
 
-  const resetIconShadow = useColorModeValue(
-    `drop-shadow(0px 0px 0.1rem var(--invokeai-colors-base-600))`,
-    `drop-shadow(0px 0px 0.1rem var(--invokeai-colors-base-800))`
-  );
-
   const shouldShowProcessedImage =
     controlImage &&
     processedControlImage &&
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
index a7854f4041..5dbbf011e8 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx
@@ -27,9 +27,7 @@ const GalleryImage = (props: HoverableImageProps) => {
   const dispatch = useAppDispatch();
   const { imageName } = props;
   const { currentData: imageDTO } = useGetImageDTOQuery(imageName);
-  const shouldShowDeleteButton = useAppSelector(
-    (state) => state.gallery.shouldShowDeleteButton
-  );
+  const shift = useAppSelector((state) => state.hotkeys.shift);
 
   const { handleClick, isSelected, selection, selectionCount } =
     useMultiselect(imageDTO);
@@ -81,6 +79,14 @@ const GalleryImage = (props: HoverableImageProps) => {
 
   const [isHovered, setIsHovered] = useState(false);
 
+  const handleMouseOver = useCallback(() => {
+    setIsHovered(true);
+  }, []);
+
+  const handleMouseOut = useCallback(() => {
+    setIsHovered(false);
+  }, []);
+
   const starIcon = useMemo(() => {
     if (imageDTO?.starred) return <MdStar size="20" />;
     if (!imageDTO?.starred && isHovered) return <MdStarBorder size="20" />;
@@ -112,8 +118,8 @@ const GalleryImage = (props: HoverableImageProps) => {
           isUploadDisabled={true}
           thumbnail={true}
           withHoverOverlay
-          onMouseOver={() => setIsHovered(true)}
-          onMouseOut={() => setIsHovered(false)}
+          onMouseOver={handleMouseOver}
+          onMouseOut={handleMouseOut}
         >
           <>
             <IAIDndImageIcon
@@ -122,13 +128,13 @@ const GalleryImage = (props: HoverableImageProps) => {
               tooltip={imageDTO.starred ? 'Unstar' : 'Star'}
             />
 
-            {isHovered && shouldShowDeleteButton && (
+            {isHovered && shift && (
               <IAIDndImageIcon
                 onClick={handleDelete}
                 icon={<FaTrash />}
-                tooltip={'Delete'}
+                tooltip="Delete"
                 styleOverrides={{
-                  bottom: 1,
+                  bottom: 2,
                   top: 'auto',
                 }}
               />
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx
index 8951fc050a..bacd5c38ad 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImageGrid.tsx
@@ -1,5 +1,5 @@
 import { Box, Flex } from '@chakra-ui/react';
-import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { useAppSelector } from 'app/store/storeHooks';
 import IAIButton from 'common/components/IAIButton';
 import { IAINoContentFallback } from 'common/components/IAIImageFallback';
 import { selectListImagesBaseQueryArgs } from 'features/gallery/store/gallerySelectors';
@@ -20,8 +20,6 @@ import { useBoardTotal } from 'services/api/hooks/useBoardTotal';
 import GalleryImage from './GalleryImage';
 import ImageGridItemContainer from './ImageGridItemContainer';
 import ImageGridListContainer from './ImageGridListContainer';
-import { useHotkeys } from 'react-hotkeys-hook';
-import { shouldShowDeleteButtonChanged } from '../../store/gallerySlice';
 
 const overlayScrollbarsConfig: UseOverlayScrollbarsParams = {
   defer: true,
@@ -38,7 +36,6 @@ const overlayScrollbarsConfig: UseOverlayScrollbarsParams = {
 
 const GalleryImageGrid = () => {
   const { t } = useTranslation();
-  const dispatch = useAppDispatch();
   const rootRef = useRef<HTMLDivElement>(null);
   const [scroller, setScroller] = useState<HTMLElement | null>(null);
   const [initialize, osInstance] = useOverlayScrollbars(
@@ -88,23 +85,6 @@ const GalleryImageGrid = () => {
     return () => osInstance()?.destroy();
   }, [scroller, initialize, osInstance]);
 
-  useHotkeys(
-    'shift',
-    () => {
-      dispatch(shouldShowDeleteButtonChanged(true));
-    },
-    [shouldShowDeleteButtonChanged]
-  );
-
-  useHotkeys(
-    'shift',
-    () => {
-      dispatch(shouldShowDeleteButtonChanged(false));
-    },
-    { keyup: true },
-    [shouldShowDeleteButtonChanged]
-  );
-
   if (!currentData) {
     return (
       <Flex
diff --git a/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts b/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts
index bc7acff6f4..a4e4b02937 100644
--- a/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts
+++ b/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts
@@ -13,7 +13,6 @@ export const initialGalleryState: GalleryState = {
   galleryImageMinimumWidth: 96,
   selectedBoardId: 'none',
   galleryView: 'images',
-  shouldShowDeleteButton: false,
   boardSearchText: '',
 };
 
@@ -50,9 +49,6 @@ export const gallerySlice = createSlice({
     galleryViewChanged: (state, action: PayloadAction<GalleryView>) => {
       state.galleryView = action.payload;
     },
-    shouldShowDeleteButtonChanged: (state, action: PayloadAction<boolean>) => {
-      state.shouldShowDeleteButton = action.payload;
-    },
     boardSearchTextChanged: (state, action: PayloadAction<string>) => {
       state.boardSearchText = action.payload;
     },
@@ -93,7 +89,6 @@ export const {
   autoAddBoardIdChanged,
   galleryViewChanged,
   selectionChanged,
-  shouldShowDeleteButtonChanged,
   boardSearchTextChanged,
 } = gallerySlice.actions;
 
diff --git a/invokeai/frontend/web/src/features/gallery/store/types.ts b/invokeai/frontend/web/src/features/gallery/store/types.ts
index 6860f6ea7b..7b707dd303 100644
--- a/invokeai/frontend/web/src/features/gallery/store/types.ts
+++ b/invokeai/frontend/web/src/features/gallery/store/types.ts
@@ -21,6 +21,5 @@ export type GalleryState = {
   galleryImageMinimumWidth: number;
   selectedBoardId: BoardId;
   galleryView: GalleryView;
-  shouldShowDeleteButton: boolean;
   boardSearchText: string;
 };
diff --git a/invokeai/frontend/web/src/services/api/util.ts b/invokeai/frontend/web/src/services/api/util.ts
index 95f2b10653..d69b6a2cde 100644
--- a/invokeai/frontend/web/src/services/api/util.ts
+++ b/invokeai/frontend/web/src/services/api/util.ts
@@ -26,26 +26,27 @@ export const getIsImageInDateRange = (
 
   for (let index = 0; index < totalCachedImageDtos.length; index++) {
     const image = totalCachedImageDtos[index];
-    if (image?.starred) cachedStarredImages.push(image)
-    if (!image?.starred) cachedUnstarredImages.push(image)
+    if (image?.starred) cachedStarredImages.push(image);
+    if (!image?.starred) cachedUnstarredImages.push(image);
   }
 
   if (imageDTO.starred) {
-    const lastStarredImage = cachedStarredImages[cachedStarredImages.length - 1];
-    // if starring or already starred, want to look in list of starred images 
+    const lastStarredImage =
+      cachedStarredImages[cachedStarredImages.length - 1];
+    // if starring or already starred, want to look in list of starred images
     if (!lastStarredImage) return true; // no starred images showing, so always show this one
     const createdDate = new Date(imageDTO.created_at);
     const oldestDate = new Date(lastStarredImage.created_at);
     return createdDate >= oldestDate;
   } else {
-    const lastUnstarredImage = cachedUnstarredImages[cachedUnstarredImages.length - 1];
+    const lastUnstarredImage =
+      cachedUnstarredImages[cachedUnstarredImages.length - 1];
     // if unstarring or already unstarred, want to look in list of unstarred images
     if (!lastUnstarredImage) return false; // no unstarred images showing, so don't show this one
     const createdDate = new Date(imageDTO.created_at);
     const oldestDate = new Date(lastUnstarredImage.created_at);
     return createdDate >= oldestDate;
   }
-
 };
 
 export const getCategories = (imageDTO: ImageDTO) => {
@@ -67,7 +68,7 @@ export const imagesAdapter = createEntityAdapter<ImageDTO>({
     if (!a.starred && b.starred) {
       return 1;
     }
-    return dateComparator(b.created_at, a.created_at)
+    return dateComparator(b.created_at, a.created_at);
   },
 });
 

From 6df4af2c79fa61dd7fab058538bf9a304b390634 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 16 Aug 2023 11:52:21 +1000
Subject: [PATCH 256/287] chore: lint

---
 .../frontend/web/src/common/components/IAIDndImageIcon.tsx    | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/frontend/web/src/common/components/IAIDndImageIcon.tsx b/invokeai/frontend/web/src/common/components/IAIDndImageIcon.tsx
index fb7742d088..f3d3fc0dda 100644
--- a/invokeai/frontend/web/src/common/components/IAIDndImageIcon.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIDndImageIcon.tsx
@@ -1,11 +1,11 @@
 import { SystemStyleObject, useColorModeValue } from '@chakra-ui/react';
-import { JSXElementConstructor, MouseEvent, ReactElement, memo } from 'react';
+import { MouseEvent, ReactElement, memo } from 'react';
 import IAIIconButton from './IAIIconButton';
 
 type Props = {
   onClick: (event: MouseEvent<HTMLButtonElement>) => void;
   tooltip: string;
-  icon?: ReactElement<any, string | JSXElementConstructor<any>>;
+  icon?: ReactElement;
   styleOverrides?: SystemStyleObject;
 };
 

From 611e241ca788ec1db7eedb678eb53b977652c742 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 16 Aug 2023 11:59:19 +1000
Subject: [PATCH 257/287] chore(ui): regen types

---
 .../frontend/web/src/services/api/schema.d.ts | 4852 ++++++++---------
 1 file changed, 2187 insertions(+), 2665 deletions(-)

diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 8d0ddee429..bd93b2f952 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -3,301 +3,302 @@
  * Do not make direct changes to the file.
  */
 
+
 export type paths = {
-  '/api/v1/sessions/': {
+  "/api/v1/sessions/": {
     /**
-     * List Sessions
+     * List Sessions 
      * @description Gets a list of sessions, optionally searching
      */
-    get: operations['list_sessions'];
+    get: operations["list_sessions"];
     /**
-     * Create Session
+     * Create Session 
      * @description Creates a new session, optionally initializing it with an invocation graph
      */
-    post: operations['create_session'];
+    post: operations["create_session"];
   };
-  '/api/v1/sessions/{session_id}': {
+  "/api/v1/sessions/{session_id}": {
     /**
-     * Get Session
+     * Get Session 
      * @description Gets a session
      */
-    get: operations['get_session'];
+    get: operations["get_session"];
   };
-  '/api/v1/sessions/{session_id}/nodes': {
+  "/api/v1/sessions/{session_id}/nodes": {
     /**
-     * Add Node
+     * Add Node 
      * @description Adds a node to the graph
      */
-    post: operations['add_node'];
+    post: operations["add_node"];
   };
-  '/api/v1/sessions/{session_id}/nodes/{node_path}': {
+  "/api/v1/sessions/{session_id}/nodes/{node_path}": {
     /**
-     * Update Node
+     * Update Node 
      * @description Updates a node in the graph and removes all linked edges
      */
-    put: operations['update_node'];
+    put: operations["update_node"];
     /**
-     * Delete Node
+     * Delete Node 
      * @description Deletes a node in the graph and removes all linked edges
      */
-    delete: operations['delete_node'];
+    delete: operations["delete_node"];
   };
-  '/api/v1/sessions/{session_id}/edges': {
+  "/api/v1/sessions/{session_id}/edges": {
     /**
-     * Add Edge
+     * Add Edge 
      * @description Adds an edge to the graph
      */
-    post: operations['add_edge'];
+    post: operations["add_edge"];
   };
-  '/api/v1/sessions/{session_id}/edges/{from_node_id}/{from_field}/{to_node_id}/{to_field}': {
+  "/api/v1/sessions/{session_id}/edges/{from_node_id}/{from_field}/{to_node_id}/{to_field}": {
     /**
-     * Delete Edge
+     * Delete Edge 
      * @description Deletes an edge from the graph
      */
-    delete: operations['delete_edge'];
+    delete: operations["delete_edge"];
   };
-  '/api/v1/sessions/{session_id}/invoke': {
+  "/api/v1/sessions/{session_id}/invoke": {
     /**
-     * Invoke Session
+     * Invoke Session 
      * @description Invokes a session
      */
-    put: operations['invoke_session'];
+    put: operations["invoke_session"];
     /**
-     * Cancel Session Invoke
+     * Cancel Session Invoke 
      * @description Invokes a session
      */
-    delete: operations['cancel_session_invoke'];
+    delete: operations["cancel_session_invoke"];
   };
-  '/api/v1/models/': {
+  "/api/v1/models/": {
     /**
-     * List Models
+     * List Models 
      * @description Gets a list of models
      */
-    get: operations['list_models'];
+    get: operations["list_models"];
   };
-  '/api/v1/models/{base_model}/{model_type}/{model_name}': {
+  "/api/v1/models/{base_model}/{model_type}/{model_name}": {
     /**
-     * Delete Model
+     * Delete Model 
      * @description Delete Model
      */
-    delete: operations['del_model'];
+    delete: operations["del_model"];
     /**
-     * Update Model
+     * Update Model 
      * @description Update model contents with a new config. If the model name or base fields are changed, then the model is renamed.
      */
-    patch: operations['update_model'];
+    patch: operations["update_model"];
   };
-  '/api/v1/models/import': {
+  "/api/v1/models/import": {
     /**
-     * Import Model
+     * Import Model 
      * @description Add a model using its local path, repo_id, or remote URL. Model characteristics will be probed and configured automatically
      */
-    post: operations['import_model'];
+    post: operations["import_model"];
   };
-  '/api/v1/models/add': {
+  "/api/v1/models/add": {
     /**
-     * Add Model
+     * Add Model 
      * @description Add a model using the configuration information appropriate for its type. Only local models can be added by path
      */
-    post: operations['add_model'];
+    post: operations["add_model"];
   };
-  '/api/v1/models/convert/{base_model}/{model_type}/{model_name}': {
+  "/api/v1/models/convert/{base_model}/{model_type}/{model_name}": {
     /**
-     * Convert Model
+     * Convert Model 
      * @description Convert a checkpoint model into a diffusers model, optionally saving to the indicated destination directory, or `models` if none.
      */
-    put: operations['convert_model'];
+    put: operations["convert_model"];
   };
-  '/api/v1/models/search': {
+  "/api/v1/models/search": {
     /** Search For Models */
-    get: operations['search_for_models'];
+    get: operations["search_for_models"];
   };
-  '/api/v1/models/ckpt_confs': {
+  "/api/v1/models/ckpt_confs": {
     /**
-     * List Ckpt Configs
+     * List Ckpt Configs 
      * @description Return a list of the legacy checkpoint configuration files stored in `ROOT/configs/stable-diffusion`, relative to ROOT.
      */
-    get: operations['list_ckpt_configs'];
+    get: operations["list_ckpt_configs"];
   };
-  '/api/v1/models/sync': {
+  "/api/v1/models/sync": {
     /**
-     * Sync To Config
+     * Sync To Config 
      * @description Call after making changes to models.yaml, autoimport directories or models directory to synchronize
      * in-memory data structures with disk data structures.
      */
-    post: operations['sync_to_config'];
+    post: operations["sync_to_config"];
   };
-  '/api/v1/models/merge/{base_model}': {
+  "/api/v1/models/merge/{base_model}": {
     /**
-     * Merge Models
+     * Merge Models 
      * @description Convert a checkpoint model into a diffusers model
      */
-    put: operations['merge_models'];
+    put: operations["merge_models"];
   };
-  '/api/v1/images/upload': {
+  "/api/v1/images/upload": {
     /**
-     * Upload Image
+     * Upload Image 
      * @description Uploads an image
      */
-    post: operations['upload_image'];
+    post: operations["upload_image"];
   };
-  '/api/v1/images/i/{image_name}': {
+  "/api/v1/images/i/{image_name}": {
     /**
-     * Get Image Dto
+     * Get Image Dto 
      * @description Gets an image's DTO
      */
-    get: operations['get_image_dto'];
+    get: operations["get_image_dto"];
     /**
-     * Delete Image
+     * Delete Image 
      * @description Deletes an image
      */
-    delete: operations['delete_image'];
+    delete: operations["delete_image"];
     /**
-     * Update Image
+     * Update Image 
      * @description Updates an image
      */
-    patch: operations['update_image'];
+    patch: operations["update_image"];
   };
-  '/api/v1/images/clear-intermediates': {
+  "/api/v1/images/clear-intermediates": {
     /**
-     * Clear Intermediates
+     * Clear Intermediates 
      * @description Clears all intermediates
      */
-    post: operations['clear_intermediates'];
+    post: operations["clear_intermediates"];
   };
-  '/api/v1/images/i/{image_name}/metadata': {
+  "/api/v1/images/i/{image_name}/metadata": {
     /**
-     * Get Image Metadata
+     * Get Image Metadata 
      * @description Gets an image's metadata
      */
-    get: operations['get_image_metadata'];
+    get: operations["get_image_metadata"];
   };
-  '/api/v1/images/i/{image_name}/full': {
+  "/api/v1/images/i/{image_name}/full": {
     /**
-     * Get Image Full
+     * Get Image Full 
      * @description Gets a full-resolution image file
      */
-    get: operations['get_image_full'];
+    get: operations["get_image_full"];
     /**
-     * Get Image Full
+     * Get Image Full 
      * @description Gets a full-resolution image file
      */
-    head: operations['get_image_full'];
+    head: operations["get_image_full"];
   };
-  '/api/v1/images/i/{image_name}/thumbnail': {
+  "/api/v1/images/i/{image_name}/thumbnail": {
     /**
-     * Get Image Thumbnail
+     * Get Image Thumbnail 
      * @description Gets a thumbnail image file
      */
-    get: operations['get_image_thumbnail'];
+    get: operations["get_image_thumbnail"];
   };
-  '/api/v1/images/i/{image_name}/urls': {
+  "/api/v1/images/i/{image_name}/urls": {
     /**
-     * Get Image Urls
+     * Get Image Urls 
      * @description Gets an image and thumbnail URL
      */
-    get: operations['get_image_urls'];
+    get: operations["get_image_urls"];
   };
-  '/api/v1/images/': {
+  "/api/v1/images/": {
     /**
-     * List Image Dtos
+     * List Image Dtos 
      * @description Gets a list of image DTOs
      */
-    get: operations['list_image_dtos'];
+    get: operations["list_image_dtos"];
   };
-  '/api/v1/images/delete': {
+  "/api/v1/images/delete": {
     /** Delete Images From List */
-    post: operations['delete_images_from_list'];
+    post: operations["delete_images_from_list"];
   };
-  '/api/v1/images/star': {
+  "/api/v1/images/star": {
     /** Star Images In List */
-    post: operations['star_images_in_list'];
+    post: operations["star_images_in_list"];
   };
-  '/api/v1/images/unstar': {
+  "/api/v1/images/unstar": {
     /** Unstar Images In List */
-    post: operations['unstar_images_in_list'];
+    post: operations["unstar_images_in_list"];
   };
-  '/api/v1/boards/': {
+  "/api/v1/boards/": {
     /**
-     * List Boards
+     * List Boards 
      * @description Gets a list of boards
      */
-    get: operations['list_boards'];
+    get: operations["list_boards"];
     /**
-     * Create Board
+     * Create Board 
      * @description Creates a board
      */
-    post: operations['create_board'];
+    post: operations["create_board"];
   };
-  '/api/v1/boards/{board_id}': {
+  "/api/v1/boards/{board_id}": {
     /**
-     * Get Board
+     * Get Board 
      * @description Gets a board
      */
-    get: operations['get_board'];
+    get: operations["get_board"];
     /**
-     * Delete Board
+     * Delete Board 
      * @description Deletes a board
      */
-    delete: operations['delete_board'];
+    delete: operations["delete_board"];
     /**
-     * Update Board
+     * Update Board 
      * @description Updates a board
      */
-    patch: operations['update_board'];
+    patch: operations["update_board"];
   };
-  '/api/v1/boards/{board_id}/image_names': {
+  "/api/v1/boards/{board_id}/image_names": {
     /**
-     * List All Board Image Names
+     * List All Board Image Names 
      * @description Gets a list of images for a board
      */
-    get: operations['list_all_board_image_names'];
+    get: operations["list_all_board_image_names"];
   };
-  '/api/v1/board_images/': {
+  "/api/v1/board_images/": {
     /**
-     * Add Image To Board
+     * Add Image To Board 
      * @description Creates a board_image
      */
-    post: operations['add_image_to_board'];
+    post: operations["add_image_to_board"];
     /**
-     * Remove Image From Board
+     * Remove Image From Board 
      * @description Removes an image from its board, if it had one
      */
-    delete: operations['remove_image_from_board'];
+    delete: operations["remove_image_from_board"];
   };
-  '/api/v1/board_images/batch': {
+  "/api/v1/board_images/batch": {
     /**
-     * Add Images To Board
+     * Add Images To Board 
      * @description Adds a list of images to a board
      */
-    post: operations['add_images_to_board'];
+    post: operations["add_images_to_board"];
   };
-  '/api/v1/board_images/batch/delete': {
+  "/api/v1/board_images/batch/delete": {
     /**
-     * Remove Images From Board
+     * Remove Images From Board 
      * @description Removes a list of images from their board, if they had one
      */
-    post: operations['remove_images_from_board'];
+    post: operations["remove_images_from_board"];
   };
-  '/api/v1/app/version': {
+  "/api/v1/app/version": {
     /** Get Version */
-    get: operations['app_version'];
+    get: operations["app_version"];
   };
-  '/api/v1/app/config': {
+  "/api/v1/app/config": {
     /** Get Config */
-    get: operations['get_config'];
+    get: operations["get_config"];
   };
-  '/api/v1/app/logging': {
+  "/api/v1/app/logging": {
     /**
-     * Get Log Level
+     * Get Log Level 
      * @description Returns the log level
      */
-    get: operations['get_log_level'];
+    get: operations["get_log_level"];
     /**
-     * Set Log Level
+     * Set Log Level 
      * @description Sets the log verbosity level
      */
-    post: operations['set_log_level'];
+    post: operations["set_log_level"];
   };
 };
 
@@ -308,144 +309,144 @@ export type components = {
     /** AddImagesToBoardResult */
     AddImagesToBoardResult: {
       /**
-       * Board Id
+       * Board Id 
        * @description The id of the board the images were added to
        */
       board_id: string;
       /**
-       * Added Image Names
+       * Added Image Names 
        * @description The image names that were added to the board
        */
-      added_image_names: string[];
+      added_image_names: (string)[];
     };
     /**
-     * Add Integers
+     * Add Integers 
      * @description Adds two numbers
      */
     AddInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default add
+       * Type 
+       * @default add 
        * @enum {string}
        */
-      type: 'add';
+      type: "add";
       /**
-       * A
-       * @description The first number
+       * A 
+       * @description The first number 
        * @default 0
        */
       a?: number;
       /**
-       * B
-       * @description The second number
+       * B 
+       * @description The second number 
        * @default 0
        */
       b?: number;
     };
     /**
-     * AppConfig
+     * AppConfig 
      * @description App Config Response
      */
     AppConfig: {
       /**
-       * Infill Methods
+       * Infill Methods 
        * @description List of available infill methods
        */
-      infill_methods: string[];
+      infill_methods: (string)[];
       /**
-       * Upscaling Methods
+       * Upscaling Methods 
        * @description List of upscaling methods
        */
-      upscaling_methods: components['schemas']['Upscaler'][];
+      upscaling_methods: (components["schemas"]["Upscaler"])[];
       /**
-       * Nsfw Methods
+       * Nsfw Methods 
        * @description List of NSFW checking methods
        */
-      nsfw_methods: string[];
+      nsfw_methods: (string)[];
       /**
-       * Watermarking Methods
+       * Watermarking Methods 
        * @description List of invisible watermark methods
        */
-      watermarking_methods: string[];
+      watermarking_methods: (string)[];
     };
     /**
-     * AppVersion
+     * AppVersion 
      * @description App Version Response
      */
     AppVersion: {
       /**
-       * Version
+       * Version 
        * @description App version
        */
       version: string;
     };
     /**
-     * BaseModelType
-     * @description An enumeration.
+     * BaseModelType 
+     * @description An enumeration. 
      * @enum {string}
      */
-    BaseModelType: 'sd-1' | 'sd-2' | 'sdxl' | 'sdxl-refiner';
+    BaseModelType: "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner";
     /** BoardChanges */
     BoardChanges: {
       /**
-       * Board Name
+       * Board Name 
        * @description The board's new name.
        */
       board_name?: string;
       /**
-       * Cover Image Name
+       * Cover Image Name 
        * @description The name of the board's new cover image.
        */
       cover_image_name?: string;
     };
     /**
-     * BoardDTO
+     * BoardDTO 
      * @description Deserialized board record with cover image URL and image count.
      */
     BoardDTO: {
       /**
-       * Board Id
+       * Board Id 
        * @description The unique ID of the board.
        */
       board_id: string;
       /**
-       * Board Name
+       * Board Name 
        * @description The name of the board.
        */
       board_name: string;
       /**
-       * Created At
+       * Created At 
        * @description The created timestamp of the board.
        */
       created_at: string;
       /**
-       * Updated At
+       * Updated At 
        * @description The updated timestamp of the board.
        */
       updated_at: string;
       /**
-       * Deleted At
+       * Deleted At 
        * @description The deleted timestamp of the board.
        */
       deleted_at?: string;
       /**
-       * Cover Image Name
+       * Cover Image Name 
        * @description The name of the board's cover image.
        */
       cover_image_name?: string;
       /**
-       * Image Count
+       * Image Count 
        * @description The number of images in the board.
        */
       image_count: number;
@@ -453,12 +454,12 @@ export type components = {
     /** Body_add_image_to_board */
     Body_add_image_to_board: {
       /**
-       * Board Id
+       * Board Id 
        * @description The id of the board to add to
        */
       board_id: string;
       /**
-       * Image Name
+       * Image Name 
        * @description The name of the image to add
        */
       image_name: string;
@@ -466,67 +467,67 @@ export type components = {
     /** Body_add_images_to_board */
     Body_add_images_to_board: {
       /**
-       * Board Id
+       * Board Id 
        * @description The id of the board to add to
        */
       board_id: string;
       /**
-       * Image Names
+       * Image Names 
        * @description The names of the images to add
        */
-      image_names: string[];
+      image_names: (string)[];
     };
     /** Body_delete_images_from_list */
     Body_delete_images_from_list: {
       /**
-       * Image Names
+       * Image Names 
        * @description The list of names of images to delete
        */
-      image_names: string[];
+      image_names: (string)[];
     };
     /** Body_import_model */
     Body_import_model: {
       /**
-       * Location
+       * Location 
        * @description A model path, repo_id or URL to import
        */
       location: string;
       /**
-       * Prediction Type
-       * @description Prediction type for SDv2 checkpoint files
-       * @default v_prediction
+       * Prediction Type 
+       * @description Prediction type for SDv2 checkpoint files 
+       * @default v_prediction 
        * @enum {string}
        */
-      prediction_type?: 'v_prediction' | 'epsilon' | 'sample';
+      prediction_type?: "v_prediction" | "epsilon" | "sample";
     };
     /** Body_merge_models */
     Body_merge_models: {
       /**
-       * Model Names
+       * Model Names 
        * @description model name
        */
-      model_names: string[];
+      model_names: (string)[];
       /**
-       * Merged Model Name
+       * Merged Model Name 
        * @description Name of destination model
        */
       merged_model_name: string;
       /**
-       * Alpha
-       * @description Alpha weighting strength to apply to 2d and 3d models
+       * Alpha 
+       * @description Alpha weighting strength to apply to 2d and 3d models 
        * @default 0.5
        */
       alpha?: number;
       /** @description Interpolation method */
-      interp: components['schemas']['MergeInterpolationMethod'];
+      interp: components["schemas"]["MergeInterpolationMethod"];
       /**
-       * Force
-       * @description Force merging of models created with different versions of diffusers
+       * Force 
+       * @description Force merging of models created with different versions of diffusers 
        * @default false
        */
       force?: boolean;
       /**
-       * Merge Dest Directory
+       * Merge Dest Directory 
        * @description Save the merged model to the designated directory (with 'merged_model_name' appended)
        */
       merge_dest_directory?: string;
@@ -534,7 +535,7 @@ export type components = {
     /** Body_remove_image_from_board */
     Body_remove_image_from_board: {
       /**
-       * Image Name
+       * Image Name 
        * @description The name of the image to remove
        */
       image_name: string;
@@ -542,163 +543,163 @@ export type components = {
     /** Body_remove_images_from_board */
     Body_remove_images_from_board: {
       /**
-       * Image Names
+       * Image Names 
        * @description The names of the images to remove
        */
-      image_names: string[];
+      image_names: (string)[];
     };
     /** Body_star_images_in_list */
     Body_star_images_in_list: {
       /**
-       * Image Names
+       * Image Names 
        * @description The list of names of images to star
        */
-      image_names: string[];
+      image_names: (string)[];
     };
     /** Body_unstar_images_in_list */
     Body_unstar_images_in_list: {
       /**
-       * Image Names
+       * Image Names 
        * @description The list of names of images to unstar
        */
-      image_names: string[];
+      image_names: (string)[];
     };
     /** Body_upload_image */
     Body_upload_image: {
       /**
-       * File
+       * File 
        * Format: binary
        */
       file: Blob;
     };
     /**
-     * Boolean Collection
+     * Boolean Collection 
      * @description A collection of boolean primitive values
      */
     BooleanCollectionInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default boolean_collection
+       * Type 
+       * @default boolean_collection 
        * @enum {string}
        */
-      type: 'boolean_collection';
+      type: "boolean_collection";
       /**
-       * Collection
-       * @description The collection of boolean values
+       * Collection 
+       * @description The collection of boolean values 
        * @default false
        */
-      collection?: boolean[];
+      collection?: (boolean)[];
     };
     /**
-     * BooleanCollectionOutput
+     * BooleanCollectionOutput 
      * @description Base class for nodes that output a collection of booleans
      */
     BooleanCollectionOutput: {
       /**
-       * Type
-       * @default boolean_collection_output
+       * Type 
+       * @default boolean_collection_output 
        * @enum {string}
        */
-      type?: 'boolean_collection_output';
+      type?: "boolean_collection_output";
       /**
-       * Collection
+       * Collection 
        * @description The output boolean collection
        */
-      collection?: boolean[];
+      collection?: (boolean)[];
     };
     /**
-     * Boolean
+     * Boolean 
      * @description A boolean primitive value
      */
     BooleanInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default boolean
+       * Type 
+       * @default boolean 
        * @enum {string}
        */
-      type: 'boolean';
+      type: "boolean";
       /**
-       * A
-       * @description The boolean value
+       * A 
+       * @description The boolean value 
        * @default false
        */
       a?: boolean;
     };
     /**
-     * BooleanOutput
+     * BooleanOutput 
      * @description Base class for nodes that output a single boolean
      */
     BooleanOutput: {
       /**
-       * Type
-       * @default boolean_output
+       * Type 
+       * @default boolean_output 
        * @enum {string}
        */
-      type?: 'boolean_output';
+      type?: "boolean_output";
       /**
-       * A
+       * A 
        * @description The output boolean
        */
       a: boolean;
     };
     /**
-     * Canny Processor
+     * Canny Processor 
      * @description Canny edge detection for ControlNet
      */
     CannyImageProcessorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default canny_image_processor
+       * Type 
+       * @default canny_image_processor 
        * @enum {string}
        */
-      type: 'canny_image_processor';
+      type: "canny_image_processor";
       /**
-       * Image
+       * Image 
        * @description The image to process
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Low Threshold
-       * @description The low threshold of the Canny pixel gradient (0-255)
+       * Low Threshold 
+       * @description The low threshold of the Canny pixel gradient (0-255) 
        * @default 100
        */
       low_threshold?: number;
       /**
-       * High Threshold
-       * @description The high threshold of the Canny pixel gradient (0-255)
+       * High Threshold 
+       * @description The high threshold of the Canny pixel gradient (0-255) 
        * @default 200
        */
       high_threshold?: number;
@@ -706,240 +707,240 @@ export type components = {
     /** ClipField */
     ClipField: {
       /**
-       * Tokenizer
+       * Tokenizer 
        * @description Info to load tokenizer submodel
        */
-      tokenizer: components['schemas']['ModelInfo'];
+      tokenizer: components["schemas"]["ModelInfo"];
       /**
-       * Text Encoder
+       * Text Encoder 
        * @description Info to load text_encoder submodel
        */
-      text_encoder: components['schemas']['ModelInfo'];
+      text_encoder: components["schemas"]["ModelInfo"];
       /**
-       * Skipped Layers
+       * Skipped Layers 
        * @description Number of skipped layers in text_encoder
        */
       skipped_layers: number;
       /**
-       * Loras
+       * Loras 
        * @description Loras to apply on model loading
        */
-      loras: components['schemas']['LoraInfo'][];
+      loras: (components["schemas"]["LoraInfo"])[];
     };
     /**
-     * CLIP Skip
+     * CLIP Skip 
      * @description Skip layers in clip text_encoder model.
      */
     ClipSkipInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default clip_skip
+       * Type 
+       * @default clip_skip 
        * @enum {string}
        */
-      type: 'clip_skip';
+      type: "clip_skip";
       /**
-       * CLIP
+       * CLIP 
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components['schemas']['ClipField'];
+      clip?: components["schemas"]["ClipField"];
       /**
-       * Skipped Layers
-       * @description Number of layers to skip in text encoder
+       * Skipped Layers 
+       * @description Number of layers to skip in text encoder 
        * @default 0
        */
       skipped_layers?: number;
     };
     /**
-     * ClipSkipInvocationOutput
+     * ClipSkipInvocationOutput 
      * @description Clip skip node output
      */
     ClipSkipInvocationOutput: {
       /**
-       * Type
-       * @default clip_skip_output
+       * Type 
+       * @default clip_skip_output 
        * @enum {string}
        */
-      type?: 'clip_skip_output';
+      type?: "clip_skip_output";
       /**
-       * CLIP
+       * CLIP 
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components['schemas']['ClipField'];
+      clip?: components["schemas"]["ClipField"];
     };
     /**
-     * CollectInvocation
+     * CollectInvocation 
      * @description Collects values into a collection
      */
     CollectInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default collect
+       * Type 
+       * @default collect 
        * @enum {string}
        */
-      type: 'collect';
+      type: "collect";
       /**
-       * Collection Item
+       * Collection Item 
        * @description The item to collect (all inputs must be of the same type)
        */
       item?: unknown;
       /**
-       * Collection
+       * Collection 
        * @description The collection, will be provided on execution
        */
-      collection?: unknown[];
+      collection?: (unknown)[];
     };
     /**
-     * CollectInvocationOutput
+     * CollectInvocationOutput 
      * @description Base class for all invocation outputs
      */
     CollectInvocationOutput: {
       /**
-       * Type
-       * @default collect_output
+       * Type 
+       * @default collect_output 
        * @enum {string}
        */
-      type?: 'collect_output';
+      type?: "collect_output";
       /**
-       * Collection
+       * Collection 
        * @description The collection of input items
        */
-      collection: unknown[];
+      collection: (unknown)[];
     };
     /**
-     * ColorCollectionOutput
+     * ColorCollectionOutput 
      * @description Base class for nodes that output a collection of colors
      */
     ColorCollectionOutput: {
       /**
-       * Type
-       * @default color_collection_output
+       * Type 
+       * @default color_collection_output 
        * @enum {string}
        */
-      type?: 'color_collection_output';
+      type?: "color_collection_output";
       /**
-       * Collection
+       * Collection 
        * @description The output colors
        */
-      collection?: components['schemas']['ColorField'][];
+      collection?: (components["schemas"]["ColorField"])[];
     };
     /**
-     * Color Correct
+     * Color Correct 
      * @description Shifts the colors of a target image to match the reference image, optionally
      * using a mask to only color-correct certain regions of the target image.
      */
     ColorCorrectInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default color_correct
+       * Type 
+       * @default color_correct 
        * @enum {string}
        */
-      type: 'color_correct';
+      type: "color_correct";
       /**
-       * Image
+       * Image 
        * @description The image to color-correct
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Reference
+       * Reference 
        * @description Reference image for color-correction
        */
-      reference?: components['schemas']['ImageField'];
+      reference?: components["schemas"]["ImageField"];
       /**
-       * Mask
+       * Mask 
        * @description Mask to use when applying color-correction
        */
-      mask?: components['schemas']['ImageField'];
+      mask?: components["schemas"]["ImageField"];
       /**
-       * Mask Blur Radius
-       * @description Mask blur radius
+       * Mask Blur Radius 
+       * @description Mask blur radius 
        * @default 8
        */
       mask_blur_radius?: number;
     };
     /**
-     * ColorField
+     * ColorField 
      * @description A color primitive field
      */
     ColorField: {
       /**
-       * R
+       * R 
        * @description The red component
        */
       r: number;
       /**
-       * G
+       * G 
        * @description The green component
        */
       g: number;
       /**
-       * B
+       * B 
        * @description The blue component
        */
       b: number;
       /**
-       * A
+       * A 
        * @description The alpha component
        */
       a: number;
     };
     /**
-     * Color Primitive
+     * Color Primitive 
      * @description A color primitive value
      */
     ColorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default color
+       * Type 
+       * @default color 
        * @enum {string}
        */
-      type: 'color';
+      type: "color";
       /**
-       * Color
-       * @description The color value
+       * Color 
+       * @description The color value 
        * @default {
        *   "r": 0,
        *   "g": 0,
@@ -947,215 +948,215 @@ export type components = {
        *   "a": 255
        * }
        */
-      color?: components['schemas']['ColorField'];
+      color?: components["schemas"]["ColorField"];
     };
     /**
-     * ColorOutput
+     * ColorOutput 
      * @description Base class for nodes that output a single color
      */
     ColorOutput: {
       /**
-       * Type
-       * @default color_output
+       * Type 
+       * @default color_output 
        * @enum {string}
        */
-      type?: 'color_output';
+      type?: "color_output";
       /**
-       * Color
+       * Color 
        * @description The output color
        */
-      color: components['schemas']['ColorField'];
+      color: components["schemas"]["ColorField"];
     };
     /**
-     * Compel Prompt
+     * Compel Prompt 
      * @description Parse prompt using compel package to conditioning.
      */
     CompelInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default compel
+       * Type 
+       * @default compel 
        * @enum {string}
        */
-      type: 'compel';
+      type: "compel";
       /**
-       * Prompt
-       * @description Prompt to be parsed by Compel to create a conditioning tensor
+       * Prompt 
+       * @description Prompt to be parsed by Compel to create a conditioning tensor 
        * @default
        */
       prompt?: string;
       /**
-       * CLIP
+       * CLIP 
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components['schemas']['ClipField'];
+      clip?: components["schemas"]["ClipField"];
     };
     /**
-     * Conditioning Collection
+     * Conditioning Collection 
      * @description A collection of conditioning tensor primitive values
      */
     ConditioningCollectionInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default conditioning_collection
+       * Type 
+       * @default conditioning_collection 
        * @enum {string}
        */
-      type: 'conditioning_collection';
+      type: "conditioning_collection";
       /**
-       * Collection
-       * @description The collection of conditioning tensors
+       * Collection 
+       * @description The collection of conditioning tensors 
        * @default 0
        */
-      collection?: components['schemas']['ConditioningField'][];
+      collection?: (components["schemas"]["ConditioningField"])[];
     };
     /**
-     * ConditioningCollectionOutput
+     * ConditioningCollectionOutput 
      * @description Base class for nodes that output a collection of conditioning tensors
      */
     ConditioningCollectionOutput: {
       /**
-       * Type
-       * @default conditioning_collection_output
+       * Type 
+       * @default conditioning_collection_output 
        * @enum {string}
        */
-      type?: 'conditioning_collection_output';
+      type?: "conditioning_collection_output";
       /**
-       * Collection
+       * Collection 
        * @description The output conditioning tensors
        */
-      collection?: components['schemas']['ConditioningField'][];
+      collection?: (components["schemas"]["ConditioningField"])[];
     };
     /**
-     * ConditioningField
+     * ConditioningField 
      * @description A conditioning tensor primitive value
      */
     ConditioningField: {
       /**
-       * Conditioning Name
+       * Conditioning Name 
        * @description The name of conditioning tensor
        */
       conditioning_name: string;
     };
     /**
-     * Conditioning Primitive
+     * Conditioning Primitive 
      * @description A conditioning tensor primitive value
      */
     ConditioningInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default conditioning
+       * Type 
+       * @default conditioning 
        * @enum {string}
        */
-      type: 'conditioning';
+      type: "conditioning";
       /**
-       * Conditioning
+       * Conditioning 
        * @description Conditioning tensor
        */
-      conditioning?: components['schemas']['ConditioningField'];
+      conditioning?: components["schemas"]["ConditioningField"];
     };
     /**
-     * ConditioningOutput
+     * ConditioningOutput 
      * @description Base class for nodes that output a single conditioning tensor
      */
     ConditioningOutput: {
       /**
-       * Type
-       * @default conditioning_output
+       * Type 
+       * @default conditioning_output 
        * @enum {string}
        */
-      type?: 'conditioning_output';
+      type?: "conditioning_output";
       /**
-       * Conditioning
+       * Conditioning 
        * @description Conditioning tensor
        */
-      conditioning: components['schemas']['ConditioningField'];
+      conditioning: components["schemas"]["ConditioningField"];
     };
     /**
-     * Content Shuffle Processor
+     * Content Shuffle Processor 
      * @description Applies content shuffle processing to image
      */
     ContentShuffleImageProcessorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default content_shuffle_image_processor
+       * Type 
+       * @default content_shuffle_image_processor 
        * @enum {string}
        */
-      type: 'content_shuffle_image_processor';
+      type: "content_shuffle_image_processor";
       /**
-       * Image
+       * Image 
        * @description The image to process
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Detect Resolution
-       * @description Pixel resolution for detection
+       * Detect Resolution 
+       * @description Pixel resolution for detection 
        * @default 512
        */
       detect_resolution?: number;
       /**
-       * Image Resolution
-       * @description Pixel resolution for output image
+       * Image Resolution 
+       * @description Pixel resolution for output image 
        * @default 512
        */
       image_resolution?: number;
       /**
-       * H
-       * @description Content shuffle `h` parameter
+       * H 
+       * @description Content shuffle `h` parameter 
        * @default 512
        */
       h?: number;
       /**
-       * W
-       * @description Content shuffle `w` parameter
+       * W 
+       * @description Content shuffle `w` parameter 
        * @default 512
        */
       w?: number;
       /**
-       * F
-       * @description Content shuffle `f` parameter
+       * F 
+       * @description Content shuffle `f` parameter 
        * @default 256
        */
       f?: number;
@@ -1163,142 +1164,134 @@ export type components = {
     /** ControlField */
     ControlField: {
       /**
-       * Image
+       * Image 
        * @description The control image
        */
-      image: components['schemas']['ImageField'];
+      image: components["schemas"]["ImageField"];
       /**
-       * Control Model
+       * Control Model 
        * @description The ControlNet model to use
        */
-      control_model: components['schemas']['ControlNetModelField'];
+      control_model: components["schemas"]["ControlNetModelField"];
       /**
-       * Control Weight
-       * @description The weight given to the ControlNet
+       * Control Weight 
+       * @description The weight given to the ControlNet 
        * @default 1
        */
-      control_weight?: number | number[];
+      control_weight?: number | (number)[];
       /**
-       * Begin Step Percent
-       * @description When the ControlNet is first applied (% of total steps)
+       * Begin Step Percent 
+       * @description When the ControlNet is first applied (% of total steps) 
        * @default 0
        */
       begin_step_percent?: number;
       /**
-       * End Step Percent
-       * @description When the ControlNet is last applied (% of total steps)
+       * End Step Percent 
+       * @description When the ControlNet is last applied (% of total steps) 
        * @default 1
        */
       end_step_percent?: number;
       /**
-       * Control Mode
-       * @description The control mode to use
-       * @default balanced
+       * Control Mode 
+       * @description The control mode to use 
+       * @default balanced 
        * @enum {string}
        */
-      control_mode?: 'balanced' | 'more_prompt' | 'more_control' | 'unbalanced';
+      control_mode?: "balanced" | "more_prompt" | "more_control" | "unbalanced";
       /**
-       * Resize Mode
-       * @description The resize mode to use
-       * @default just_resize
+       * Resize Mode 
+       * @description The resize mode to use 
+       * @default just_resize 
        * @enum {string}
        */
-      resize_mode?:
-        | 'just_resize'
-        | 'crop_resize'
-        | 'fill_resize'
-        | 'just_resize_simple';
+      resize_mode?: "just_resize" | "crop_resize" | "fill_resize" | "just_resize_simple";
     };
     /**
-     * ControlNet
+     * ControlNet 
      * @description Collects ControlNet info to pass to other nodes
      */
     ControlNetInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default controlnet
+       * Type 
+       * @default controlnet 
        * @enum {string}
        */
-      type: 'controlnet';
+      type: "controlnet";
       /**
-       * Image
+       * Image 
        * @description The control image
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Control Model
-       * @description ControlNet model to load
+       * Control Model 
+       * @description ControlNet model to load 
        * @default lllyasviel/sd-controlnet-canny
        */
-      control_model?: components['schemas']['ControlNetModelField'];
+      control_model?: components["schemas"]["ControlNetModelField"];
       /**
-       * Control Weight
-       * @description The weight given to the ControlNet
+       * Control Weight 
+       * @description The weight given to the ControlNet 
        * @default 1
        */
-      control_weight?: number | number[];
+      control_weight?: number | (number)[];
       /**
-       * Begin Step Percent
-       * @description When the ControlNet is first applied (% of total steps)
+       * Begin Step Percent 
+       * @description When the ControlNet is first applied (% of total steps) 
        * @default 0
        */
       begin_step_percent?: number;
       /**
-       * End Step Percent
-       * @description When the ControlNet is last applied (% of total steps)
+       * End Step Percent 
+       * @description When the ControlNet is last applied (% of total steps) 
        * @default 1
        */
       end_step_percent?: number;
       /**
-       * Control Mode
-       * @description The control mode used
-       * @default balanced
+       * Control Mode 
+       * @description The control mode used 
+       * @default balanced 
        * @enum {string}
        */
-      control_mode?: 'balanced' | 'more_prompt' | 'more_control' | 'unbalanced';
+      control_mode?: "balanced" | "more_prompt" | "more_control" | "unbalanced";
       /**
-       * Resize Mode
-       * @description The resize mode used
-       * @default just_resize
+       * Resize Mode 
+       * @description The resize mode used 
+       * @default just_resize 
        * @enum {string}
        */
-      resize_mode?:
-        | 'just_resize'
-        | 'crop_resize'
-        | 'fill_resize'
-        | 'just_resize_simple';
+      resize_mode?: "just_resize" | "crop_resize" | "fill_resize" | "just_resize_simple";
     };
     /** ControlNetModelCheckpointConfig */
     ControlNetModelCheckpointConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
       /**
-       * Model Type
+       * Model Type 
        * @enum {string}
        */
-      model_type: 'controlnet';
+      model_type: "controlnet";
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format
+       * Model Format 
        * @enum {string}
        */
-      model_format: 'checkpoint';
-      error?: components['schemas']['ModelError'];
+      model_format: "checkpoint";
+      error?: components["schemas"]["ModelError"];
       /** Config */
       config: string;
     };
@@ -1306,633 +1299,605 @@ export type components = {
     ControlNetModelDiffusersConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
       /**
-       * Model Type
+       * Model Type 
        * @enum {string}
        */
-      model_type: 'controlnet';
+      model_type: "controlnet";
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format
+       * Model Format 
        * @enum {string}
        */
-      model_format: 'diffusers';
-      error?: components['schemas']['ModelError'];
+      model_format: "diffusers";
+      error?: components["schemas"]["ModelError"];
     };
     /**
-     * ControlNetModelField
+     * ControlNetModelField 
      * @description ControlNet model field
      */
     ControlNetModelField: {
       /**
-       * Model Name
+       * Model Name 
        * @description Name of the ControlNet model
        */
       model_name: string;
       /** @description Base model */
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
     };
     /**
-     * ControlOutput
+     * ControlOutput 
      * @description node output for ControlNet info
      */
     ControlOutput: {
       /**
-       * Type
-       * @default control_output
+       * Type 
+       * @default control_output 
        * @enum {string}
        */
-      type?: 'control_output';
+      type?: "control_output";
       /**
-       * Control
+       * Control 
        * @description ControlNet(s) to apply
        */
-      control: components['schemas']['ControlField'];
+      control: components["schemas"]["ControlField"];
     };
     /**
-     * CoreMetadata
+     * CoreMetadata 
      * @description Core generation metadata for an image generated in InvokeAI.
      */
     CoreMetadata: {
       /**
-       * App Version
-       * @description The version of InvokeAI used to generate this image
+       * App Version 
+       * @description The version of InvokeAI used to generate this image 
        * @default 3.0.2post1
        */
       app_version?: string;
       /**
-       * Generation Mode
+       * Generation Mode 
        * @description The generation mode that output this image
        */
       generation_mode: string;
       /**
-       * Positive Prompt
+       * Positive Prompt 
        * @description The positive prompt parameter
        */
       positive_prompt: string;
       /**
-       * Negative Prompt
+       * Negative Prompt 
        * @description The negative prompt parameter
        */
       negative_prompt: string;
       /**
-       * Width
+       * Width 
        * @description The width parameter
        */
       width: number;
       /**
-       * Height
+       * Height 
        * @description The height parameter
        */
       height: number;
       /**
-       * Seed
+       * Seed 
        * @description The seed used for noise generation
        */
       seed: number;
       /**
-       * Rand Device
+       * Rand Device 
        * @description The device used for random number generation
        */
       rand_device: string;
       /**
-       * Cfg Scale
+       * Cfg Scale 
        * @description The classifier-free guidance scale parameter
        */
       cfg_scale: number;
       /**
-       * Steps
+       * Steps 
        * @description The number of steps used for inference
        */
       steps: number;
       /**
-       * Scheduler
+       * Scheduler 
        * @description The scheduler used for inference
        */
       scheduler: string;
       /**
-       * Clip Skip
+       * Clip Skip 
        * @description The number of skipped CLIP layers
        */
       clip_skip: number;
       /**
-       * Model
+       * Model 
        * @description The main model used for inference
        */
-      model: components['schemas']['MainModelField'];
+      model: components["schemas"]["MainModelField"];
       /**
-       * Controlnets
+       * Controlnets 
        * @description The ControlNets used for inference
        */
-      controlnets: components['schemas']['ControlField'][];
+      controlnets: (components["schemas"]["ControlField"])[];
       /**
-       * Loras
+       * Loras 
        * @description The LoRAs used for inference
        */
-      loras: components['schemas']['LoRAMetadataField'][];
+      loras: (components["schemas"]["LoRAMetadataField"])[];
       /**
-       * Vae
+       * Vae 
        * @description The VAE used for decoding, if the main model's default was not used
        */
-      vae?: components['schemas']['VAEModelField'];
+      vae?: components["schemas"]["VAEModelField"];
       /**
-       * Strength
+       * Strength 
        * @description The strength used for latents-to-latents
        */
       strength?: number;
       /**
-       * Init Image
+       * Init Image 
        * @description The name of the initial image
        */
       init_image?: string;
       /**
-       * Positive Style Prompt
+       * Positive Style Prompt 
        * @description The positive style prompt parameter
        */
       positive_style_prompt?: string;
       /**
-       * Negative Style Prompt
+       * Negative Style Prompt 
        * @description The negative style prompt parameter
        */
       negative_style_prompt?: string;
       /**
-       * Refiner Model
+       * Refiner Model 
        * @description The SDXL Refiner model used
        */
-      refiner_model?: components['schemas']['MainModelField'];
+      refiner_model?: components["schemas"]["MainModelField"];
       /**
-       * Refiner Cfg Scale
+       * Refiner Cfg Scale 
        * @description The classifier-free guidance scale parameter used for the refiner
        */
       refiner_cfg_scale?: number;
       /**
-       * Refiner Steps
+       * Refiner Steps 
        * @description The number of steps used for the refiner
        */
       refiner_steps?: number;
       /**
-       * Refiner Scheduler
+       * Refiner Scheduler 
        * @description The scheduler used for the refiner
        */
       refiner_scheduler?: string;
       /**
-       * Refiner Positive Aesthetic Store
+       * Refiner Positive Aesthetic Store 
        * @description The aesthetic score used for the refiner
        */
       refiner_positive_aesthetic_store?: number;
       /**
-       * Refiner Negative Aesthetic Store
+       * Refiner Negative Aesthetic Store 
        * @description The aesthetic score used for the refiner
        */
       refiner_negative_aesthetic_store?: number;
       /**
-       * Refiner Start
+       * Refiner Start 
        * @description The start value used for refiner denoising
        */
       refiner_start?: number;
     };
     /**
-     * OpenCV Inpaint
+     * OpenCV Inpaint 
      * @description Simple inpaint using opencv.
      */
     CvInpaintInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default cv_inpaint
+       * Type 
+       * @default cv_inpaint 
        * @enum {string}
        */
-      type: 'cv_inpaint';
+      type: "cv_inpaint";
       /**
-       * Image
+       * Image 
        * @description The image to inpaint
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Mask
+       * Mask 
        * @description The mask to use when inpainting
        */
-      mask?: components['schemas']['ImageField'];
+      mask?: components["schemas"]["ImageField"];
     };
     /** DeleteBoardResult */
     DeleteBoardResult: {
       /**
-       * Board Id
+       * Board Id 
        * @description The id of the board that was deleted.
        */
       board_id: string;
       /**
-       * Deleted Board Images
+       * Deleted Board Images 
        * @description The image names of the board-images relationships that were deleted.
        */
-      deleted_board_images: string[];
+      deleted_board_images: (string)[];
       /**
-       * Deleted Images
+       * Deleted Images 
        * @description The names of the images that were deleted.
        */
-      deleted_images: string[];
+      deleted_images: (string)[];
     };
     /** DeleteImagesFromListResult */
     DeleteImagesFromListResult: {
       /** Deleted Images */
-      deleted_images: string[];
+      deleted_images: (string)[];
     };
     /**
-     * Denoise Latents
+     * Denoise Latents 
      * @description Denoises noisy latents to decodable images
      */
     DenoiseLatentsInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default denoise_latents
+       * Type 
+       * @default denoise_latents 
        * @enum {string}
        */
-      type: 'denoise_latents';
+      type: "denoise_latents";
       /**
-       * Noise
+       * Noise 
        * @description Noise tensor
        */
-      noise?: components['schemas']['LatentsField'];
+      noise?: components["schemas"]["LatentsField"];
       /**
-       * Steps
-       * @description Number of steps to run
+       * Steps 
+       * @description Number of steps to run 
        * @default 10
        */
       steps?: number;
       /**
-       * Cfg Scale
-       * @description Classifier-Free Guidance scale
+       * Cfg Scale 
+       * @description Classifier-Free Guidance scale 
        * @default 7.5
        */
-      cfg_scale?: number | number[];
+      cfg_scale?: number | (number)[];
       /**
-       * Denoising Start
-       * @description When to start denoising, expressed a percentage of total steps
+       * Denoising Start 
+       * @description When to start denoising, expressed a percentage of total steps 
        * @default 0
        */
       denoising_start?: number;
       /**
-       * Denoising End
-       * @description When to stop denoising, expressed a percentage of total steps
+       * Denoising End 
+       * @description When to stop denoising, expressed a percentage of total steps 
        * @default 1
        */
       denoising_end?: number;
       /**
-       * Scheduler
-       * @description Scheduler to use during inference
-       * @default euler
+       * Scheduler 
+       * @description Scheduler to use during inference 
+       * @default euler 
        * @enum {string}
        */
-      scheduler?:
-        | 'ddim'
-        | 'ddpm'
-        | 'deis'
-        | 'lms'
-        | 'lms_k'
-        | 'pndm'
-        | 'heun'
-        | 'heun_k'
-        | 'euler'
-        | 'euler_k'
-        | 'euler_a'
-        | 'kdpm_2'
-        | 'kdpm_2_a'
-        | 'dpmpp_2s'
-        | 'dpmpp_2s_k'
-        | 'dpmpp_2m'
-        | 'dpmpp_2m_k'
-        | 'dpmpp_2m_sde'
-        | 'dpmpp_2m_sde_k'
-        | 'dpmpp_sde'
-        | 'dpmpp_sde_k'
-        | 'unipc';
+      scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
       /**
-       * Control
+       * Control 
        * @description ControlNet(s) to apply
        */
-      control?:
-        | components['schemas']['ControlField']
-        | components['schemas']['ControlField'][];
+      control?: components["schemas"]["ControlField"] | (components["schemas"]["ControlField"])[];
       /**
-       * Latents
+       * Latents 
        * @description Latents tensor
        */
-      latents?: components['schemas']['LatentsField'];
+      latents?: components["schemas"]["LatentsField"];
       /**
-       * Mask
+       * Mask 
        * @description The mask to use for the operation
        */
-      mask?: components['schemas']['ImageField'];
+      mask?: components["schemas"]["ImageField"];
       /**
-       * Positive Conditioning
+       * Positive Conditioning 
        * @description Positive conditioning tensor
        */
-      positive_conditioning?: components['schemas']['ConditioningField'];
+      positive_conditioning?: components["schemas"]["ConditioningField"];
       /**
-       * Negative Conditioning
+       * Negative Conditioning 
        * @description Negative conditioning tensor
        */
-      negative_conditioning?: components['schemas']['ConditioningField'];
+      negative_conditioning?: components["schemas"]["ConditioningField"];
       /**
-       * Unet
+       * Unet 
        * @description UNet (scheduler, LoRAs)
        */
-      unet?: components['schemas']['UNetField'];
+      unet?: components["schemas"]["UNetField"];
     };
     /**
-     * Divide Integers
+     * Divide Integers 
      * @description Divides two numbers
      */
     DivideInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default div
+       * Type 
+       * @default div 
        * @enum {string}
        */
-      type: 'div';
+      type: "div";
       /**
-       * A
-       * @description The first number
+       * A 
+       * @description The first number 
        * @default 0
        */
       a?: number;
       /**
-       * B
-       * @description The second number
+       * B 
+       * @description The second number 
        * @default 0
        */
       b?: number;
     };
     /**
-     * Dynamic Prompt
+     * Dynamic Prompt 
      * @description Parses a prompt using adieyal/dynamicprompts' random or combinatorial generator
      */
     DynamicPromptInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default dynamic_prompt
+       * Type 
+       * @default dynamic_prompt 
        * @enum {string}
        */
-      type: 'dynamic_prompt';
+      type: "dynamic_prompt";
       /**
-       * Prompt
+       * Prompt 
        * @description The prompt to parse with dynamicprompts
        */
       prompt?: string;
       /**
-       * Max Prompts
-       * @description The number of prompts to generate
+       * Max Prompts 
+       * @description The number of prompts to generate 
        * @default 1
        */
       max_prompts?: number;
       /**
-       * Combinatorial
-       * @description Whether to use the combinatorial generator
+       * Combinatorial 
+       * @description Whether to use the combinatorial generator 
        * @default false
        */
       combinatorial?: boolean;
     };
     /**
-     * Upscale (RealESRGAN)
+     * Upscale (RealESRGAN) 
      * @description Upscales an image using RealESRGAN.
      */
     ESRGANInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default esrgan
+       * Type 
+       * @default esrgan 
        * @enum {string}
        */
-      type: 'esrgan';
+      type: "esrgan";
       /**
-       * Image
+       * Image 
        * @description The input image
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Model Name
-       * @description The Real-ESRGAN model to use
-       * @default RealESRGAN_x4plus.pth
+       * Model Name 
+       * @description The Real-ESRGAN model to use 
+       * @default RealESRGAN_x4plus.pth 
        * @enum {string}
        */
-      model_name?:
-        | 'RealESRGAN_x4plus.pth'
-        | 'RealESRGAN_x4plus_anime_6B.pth'
-        | 'ESRGAN_SRx4_DF2KOST_official-ff704c30.pth'
-        | 'RealESRGAN_x2plus.pth';
+      model_name?: "RealESRGAN_x4plus.pth" | "RealESRGAN_x4plus_anime_6B.pth" | "ESRGAN_SRx4_DF2KOST_official-ff704c30.pth" | "RealESRGAN_x2plus.pth";
     };
     /** Edge */
     Edge: {
       /**
-       * Source
+       * Source 
        * @description The connection for the edge's from node and field
        */
-      source: components['schemas']['EdgeConnection'];
+      source: components["schemas"]["EdgeConnection"];
       /**
-       * Destination
+       * Destination 
        * @description The connection for the edge's to node and field
        */
-      destination: components['schemas']['EdgeConnection'];
+      destination: components["schemas"]["EdgeConnection"];
     };
     /** EdgeConnection */
     EdgeConnection: {
       /**
-       * Node Id
+       * Node Id 
        * @description The id of the node for this edge connection
        */
       node_id: string;
       /**
-       * Field
+       * Field 
        * @description The field for this connection
        */
       field: string;
     };
     /**
-     * Float Collection
+     * Float Collection 
      * @description A collection of float primitive values
      */
     FloatCollectionInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default float_collection
+       * Type 
+       * @default float_collection 
        * @enum {string}
        */
-      type: 'float_collection';
+      type: "float_collection";
       /**
-       * Collection
-       * @description The collection of float values
+       * Collection 
+       * @description The collection of float values 
        * @default 0
        */
-      collection?: number[];
+      collection?: (number)[];
     };
     /**
-     * FloatCollectionOutput
+     * FloatCollectionOutput 
      * @description Base class for nodes that output a collection of floats
      */
     FloatCollectionOutput: {
       /**
-       * Type
-       * @default float_collection_output
+       * Type 
+       * @default float_collection_output 
        * @enum {string}
        */
-      type?: 'float_collection_output';
+      type?: "float_collection_output";
       /**
-       * Collection
+       * Collection 
        * @description The float collection
        */
-      collection?: number[];
+      collection?: (number)[];
     };
     /**
-     * Float
+     * Float 
      * @description A float primitive value
      */
     FloatInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default float
+       * Type 
+       * @default float 
        * @enum {string}
        */
-      type: 'float';
+      type: "float";
       /**
-       * Param
-       * @description The float value
+       * Param 
+       * @description The float value 
        * @default 0
        */
       param?: number;
     };
     /**
-     * Float Range
+     * Float Range 
      * @description Creates a range
      */
     FloatLinearRangeInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default float_range
+       * Type 
+       * @default float_range 
        * @enum {string}
        */
-      type: 'float_range';
+      type: "float_range";
       /**
-       * Start
-       * @description The first value of the range
+       * Start 
+       * @description The first value of the range 
        * @default 5
        */
       start?: number;
       /**
-       * Stop
-       * @description The last value of the range
+       * Stop 
+       * @description The last value of the range 
        * @default 10
        */
       stop?: number;
       /**
-       * Steps
-       * @description number of values to interpolate over (including start and stop)
+       * Steps 
+       * @description number of values to interpolate over (including start and stop) 
        * @default 30
        */
       steps?: number;
     };
     /**
-     * FloatOutput
+     * FloatOutput 
      * @description Base class for nodes that output a single float
      */
     FloatOutput: {
       /**
-       * Type
-       * @default float_output
+       * Type 
+       * @default float_output 
        * @enum {string}
        */
-      type?: 'float_output';
+      type?: "float_output";
       /**
-       * A
+       * A 
        * @description The output float
        */
       a: number;
@@ -1940,973 +1905,847 @@ export type components = {
     /** Graph */
     Graph: {
       /**
-       * Id
+       * Id 
        * @description The id of this graph
        */
       id?: string;
       /**
-       * Nodes
+       * Nodes 
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]:
-          | (
-              | components['schemas']['ControlNetInvocation']
-              | components['schemas']['ImageProcessorInvocation']
-              | components['schemas']['MainModelLoaderInvocation']
-              | components['schemas']['LoraLoaderInvocation']
-              | components['schemas']['SDXLLoraLoaderInvocation']
-              | components['schemas']['VaeLoaderInvocation']
-              | components['schemas']['MetadataAccumulatorInvocation']
-              | components['schemas']['SDXLModelLoaderInvocation']
-              | components['schemas']['SDXLRefinerModelLoaderInvocation']
-              | components['schemas']['CompelInvocation']
-              | components['schemas']['SDXLCompelPromptInvocation']
-              | components['schemas']['SDXLRefinerCompelPromptInvocation']
-              | components['schemas']['ClipSkipInvocation']
-              | components['schemas']['LoadImageInvocation']
-              | components['schemas']['ShowImageInvocation']
-              | components['schemas']['ImageCropInvocation']
-              | components['schemas']['ImagePasteInvocation']
-              | components['schemas']['MaskFromAlphaInvocation']
-              | components['schemas']['ImageMultiplyInvocation']
-              | components['schemas']['ImageChannelInvocation']
-              | components['schemas']['ImageConvertInvocation']
-              | components['schemas']['ImageBlurInvocation']
-              | components['schemas']['ImageResizeInvocation']
-              | components['schemas']['ImageScaleInvocation']
-              | components['schemas']['ImageLerpInvocation']
-              | components['schemas']['ImageInverseLerpInvocation']
-              | components['schemas']['ImageNSFWBlurInvocation']
-              | components['schemas']['ImageWatermarkInvocation']
-              | components['schemas']['MaskEdgeInvocation']
-              | components['schemas']['MaskCombineInvocation']
-              | components['schemas']['ColorCorrectInvocation']
-              | components['schemas']['ImageHueAdjustmentInvocation']
-              | components['schemas']['ImageLuminosityAdjustmentInvocation']
-              | components['schemas']['ImageSaturationAdjustmentInvocation']
-              | components['schemas']['DenoiseLatentsInvocation']
-              | components['schemas']['LatentsToImageInvocation']
-              | components['schemas']['ResizeLatentsInvocation']
-              | components['schemas']['ScaleLatentsInvocation']
-              | components['schemas']['ImageToLatentsInvocation']
-              | components['schemas']['ONNXPromptInvocation']
-              | components['schemas']['ONNXTextToLatentsInvocation']
-              | components['schemas']['ONNXLatentsToImageInvocation']
-              | components['schemas']['ONNXSD1ModelLoaderInvocation']
-              | components['schemas']['OnnxModelLoaderInvocation']
-              | components['schemas']['DynamicPromptInvocation']
-              | components['schemas']['PromptsFromFileInvocation']
-              | components['schemas']['AddInvocation']
-              | components['schemas']['SubtractInvocation']
-              | components['schemas']['MultiplyInvocation']
-              | components['schemas']['DivideInvocation']
-              | components['schemas']['RandomIntInvocation']
-              | components['schemas']['ParamIntInvocation']
-              | components['schemas']['ParamFloatInvocation']
-              | components['schemas']['ParamStringInvocation']
-              | components['schemas']['ParamPromptInvocation']
-              | components['schemas']['CvInpaintInvocation']
-              | components['schemas']['RangeInvocation']
-              | components['schemas']['RangeOfSizeInvocation']
-              | components['schemas']['RandomRangeInvocation']
-              | components['schemas']['ImageCollectionInvocation']
-              | components['schemas']['FloatLinearRangeInvocation']
-              | components['schemas']['StepParamEasingInvocation']
-              | components['schemas']['NoiseInvocation']
-              | components['schemas']['ESRGANInvocation']
-              | components['schemas']['InfillColorInvocation']
-              | components['schemas']['InfillTileInvocation']
-              | components['schemas']['InfillPatchMatchInvocation']
-              | components['schemas']['GraphInvocation']
-              | components['schemas']['IterateInvocation']
-              | components['schemas']['CollectInvocation']
-              | components['schemas']['CannyImageProcessorInvocation']
-              | components['schemas']['HedImageProcessorInvocation']
-              | components['schemas']['LineartImageProcessorInvocation']
-              | components['schemas']['LineartAnimeImageProcessorInvocation']
-              | components['schemas']['OpenposeImageProcessorInvocation']
-              | components['schemas']['MidasDepthImageProcessorInvocation']
-              | components['schemas']['NormalbaeImageProcessorInvocation']
-              | components['schemas']['MlsdImageProcessorInvocation']
-              | components['schemas']['PidiImageProcessorInvocation']
-              | components['schemas']['ContentShuffleImageProcessorInvocation']
-              | components['schemas']['ZoeDepthImageProcessorInvocation']
-              | components['schemas']['MediapipeFaceProcessorInvocation']
-              | components['schemas']['LeresImageProcessorInvocation']
-              | components['schemas']['TileResamplerProcessorInvocation']
-              | components['schemas']['SegmentAnythingProcessorInvocation']
-            )
-          | undefined;
+        [key: string]: (components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"]) | undefined;
       };
       /**
-       * Edges
+       * Edges 
        * @description The connections between nodes and their fields in this graph
        */
-      edges?: components['schemas']['Edge'][];
+      edges?: (components["schemas"]["Edge"])[];
     };
     /**
-     * GraphExecutionState
+     * GraphExecutionState 
      * @description Tracks the state of a graph execution
      */
     GraphExecutionState: {
       /**
-       * Id
+       * Id 
        * @description The id of the execution state
        */
       id: string;
       /**
-       * Graph
+       * Graph 
        * @description The graph being executed
        */
-      graph: components['schemas']['Graph'];
+      graph: components["schemas"]["Graph"];
       /**
-       * Execution Graph
+       * Execution Graph 
        * @description The expanded graph of activated and executed nodes
        */
-      execution_graph: components['schemas']['Graph'];
+      execution_graph: components["schemas"]["Graph"];
       /**
-       * Executed
+       * Executed 
        * @description The set of node ids that have been executed
        */
-      executed: string[];
+      executed: (string)[];
       /**
-       * Executed History
+       * Executed History 
        * @description The list of node ids that have been executed, in order of execution
        */
-      executed_history: string[];
+      executed_history: (string)[];
       /**
-       * Results
+       * Results 
        * @description The results of node executions
        */
       results: {
-        [key: string]:
-          | (
-              | components['schemas']['ImageOutput']
-              | components['schemas']['MaskOutput']
-              | components['schemas']['ControlOutput']
-              | components['schemas']['ModelLoaderOutput']
-              | components['schemas']['LoraLoaderOutput']
-              | components['schemas']['SDXLLoraLoaderOutput']
-              | components['schemas']['VaeLoaderOutput']
-              | components['schemas']['MetadataAccumulatorOutput']
-              | components['schemas']['SDXLModelLoaderOutput']
-              | components['schemas']['SDXLRefinerModelLoaderOutput']
-              | components['schemas']['CompelOutput']
-              | components['schemas']['ClipSkipInvocationOutput']
-              | components['schemas']['LatentsOutput']
-              | components['schemas']['ONNXModelLoaderOutput']
-              | components['schemas']['PromptOutput']
-              | components['schemas']['PromptCollectionOutput']
-              | components['schemas']['IntOutput']
-              | components['schemas']['FloatOutput']
-              | components['schemas']['StringOutput']
-              | components['schemas']['IntCollectionOutput']
-              | components['schemas']['FloatCollectionOutput']
-              | components['schemas']['ImageCollectionOutput']
-              | components['schemas']['NoiseOutput']
-              | components['schemas']['GraphInvocationOutput']
-              | components['schemas']['IterateInvocationOutput']
-              | components['schemas']['CollectInvocationOutput']
-            )
-          | undefined;
+        [key: string]: (components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"]) | undefined;
       };
       /**
-       * Errors
+       * Errors 
        * @description Errors raised when executing nodes
        */
       errors: {
         [key: string]: string | undefined;
       };
       /**
-       * Prepared Source Mapping
+       * Prepared Source Mapping 
        * @description The map of prepared nodes to original graph nodes
        */
       prepared_source_mapping: {
         [key: string]: string | undefined;
       };
       /**
-       * Source Prepared Mapping
+       * Source Prepared Mapping 
        * @description The map of original graph nodes to prepared nodes
        */
       source_prepared_mapping: {
-        [key: string]: string[] | undefined;
+        [key: string]: (string)[] | undefined;
       };
     };
     /**
-     * GraphInvocation
+     * GraphInvocation 
      * @description Execute a graph
      */
     GraphInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default graph
+       * Type 
+       * @default graph 
        * @enum {string}
        */
-      type: 'graph';
+      type: "graph";
       /**
-       * Graph
+       * Graph 
        * @description The graph to run
        */
-      graph?: components['schemas']['Graph'];
+      graph?: components["schemas"]["Graph"];
     };
     /**
-     * GraphInvocationOutput
+     * GraphInvocationOutput 
      * @description Base class for all invocation outputs
      */
     GraphInvocationOutput: {
       /**
-       * Type
-       * @default graph_output
+       * Type 
+       * @default graph_output 
        * @enum {string}
        */
-      type: 'graph_output';
+      type: "graph_output";
     };
     /** HTTPValidationError */
     HTTPValidationError: {
       /** Detail */
-      detail?: components['schemas']['ValidationError'][];
+      detail?: (components["schemas"]["ValidationError"])[];
     };
     /**
-     * HED (softedge) Processor
+     * HED (softedge) Processor 
      * @description Applies HED edge detection to image
      */
     HedImageProcessorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default hed_image_processor
+       * Type 
+       * @default hed_image_processor 
        * @enum {string}
        */
-      type: 'hed_image_processor';
+      type: "hed_image_processor";
       /**
-       * Image
+       * Image 
        * @description The image to process
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Detect Resolution
-       * @description Pixel resolution for detection
+       * Detect Resolution 
+       * @description Pixel resolution for detection 
        * @default 512
        */
       detect_resolution?: number;
       /**
-       * Image Resolution
-       * @description Pixel resolution for output image
+       * Image Resolution 
+       * @description Pixel resolution for output image 
        * @default 512
        */
       image_resolution?: number;
       /**
-       * Scribble
-       * @description Whether or not to use scribble mode
+       * Scribble 
+       * @description Whether or not to use scribble mode 
        * @default false
        */
       scribble?: boolean;
     };
     /**
-     * Blur Image
+     * Blur Image 
      * @description Blurs an image
      */
     ImageBlurInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default img_blur
+       * Type 
+       * @default img_blur 
        * @enum {string}
        */
-      type: 'img_blur';
+      type: "img_blur";
       /**
-       * Image
+       * Image 
        * @description The image to blur
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Radius
-       * @description The blur radius
+       * Radius 
+       * @description The blur radius 
        * @default 8
        */
       radius?: number;
       /**
-       * Blur Type
-       * @description The type of blur
-       * @default gaussian
+       * Blur Type 
+       * @description The type of blur 
+       * @default gaussian 
        * @enum {string}
        */
-      blur_type?: 'gaussian' | 'box';
+      blur_type?: "gaussian" | "box";
     };
     /**
-     * ImageCategory
+     * ImageCategory 
      * @description The category of an image.
-     *
+     * 
      * - GENERAL: The image is an output, init image, or otherwise an image without a specialized purpose.
      * - MASK: The image is a mask image.
      * - CONTROL: The image is a ControlNet control image.
      * - USER: The image is a user-provide image.
-     * - OTHER: The image is some other type of image with a specialized purpose. To be used by external nodes.
+     * - OTHER: The image is some other type of image with a specialized purpose. To be used by external nodes. 
      * @enum {string}
      */
-    ImageCategory: 'general' | 'mask' | 'control' | 'user' | 'other';
+    ImageCategory: "general" | "mask" | "control" | "user" | "other";
     /**
-     * Extract Image Channel
+     * Extract Image Channel 
      * @description Gets a channel from an image.
      */
     ImageChannelInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default img_chan
+       * Type 
+       * @default img_chan 
        * @enum {string}
        */
-      type: 'img_chan';
+      type: "img_chan";
       /**
-       * Image
+       * Image 
        * @description The image to get the channel from
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Channel
-       * @description The channel to get
-       * @default A
+       * Channel 
+       * @description The channel to get 
+       * @default A 
        * @enum {string}
        */
-      channel?: 'A' | 'R' | 'G' | 'B';
+      channel?: "A" | "R" | "G" | "B";
     };
     /**
-     * Image Collection
+     * Image Collection 
      * @description A collection of image primitive values
      */
     ImageCollectionInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default image_collection
+       * Type 
+       * @default image_collection 
        * @enum {string}
        */
-      type: 'image_collection';
+      type: "image_collection";
       /**
-       * Collection
-       * @description The collection of image values
+       * Collection 
+       * @description The collection of image values 
        * @default 0
        */
-      collection?: components['schemas']['ImageField'][];
+      collection?: (components["schemas"]["ImageField"])[];
     };
     /**
-     * ImageCollectionOutput
+     * ImageCollectionOutput 
      * @description Base class for nodes that output a collection of images
      */
     ImageCollectionOutput: {
       /**
-       * Type
-       * @default image_collection_output
+       * Type 
+       * @default image_collection_output 
        * @enum {string}
        */
-      type?: 'image_collection_output';
+      type?: "image_collection_output";
       /**
-       * Collection
+       * Collection 
        * @description The output images
        */
-      collection?: components['schemas']['ImageField'][];
+      collection?: (components["schemas"]["ImageField"])[];
     };
     /**
-     * Convert Image Mode
+     * Convert Image Mode 
      * @description Converts an image to a different mode.
      */
     ImageConvertInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default img_conv
+       * Type 
+       * @default img_conv 
        * @enum {string}
        */
-      type: 'img_conv';
+      type: "img_conv";
       /**
-       * Image
+       * Image 
        * @description The image to convert
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Mode
-       * @description The mode to convert to
-       * @default L
+       * Mode 
+       * @description The mode to convert to 
+       * @default L 
        * @enum {string}
        */
-      mode?:
-        | 'L'
-        | 'RGB'
-        | 'RGBA'
-        | 'CMYK'
-        | 'YCbCr'
-        | 'LAB'
-        | 'HSV'
-        | 'I'
-        | 'F';
+      mode?: "L" | "RGB" | "RGBA" | "CMYK" | "YCbCr" | "LAB" | "HSV" | "I" | "F";
     };
     /**
-     * Crop Image
+     * Crop Image 
      * @description Crops an image to a specified box. The box can be outside of the image.
      */
     ImageCropInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default img_crop
+       * Type 
+       * @default img_crop 
        * @enum {string}
        */
-      type: 'img_crop';
+      type: "img_crop";
       /**
-       * Image
+       * Image 
        * @description The image to crop
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * X
-       * @description The left x coordinate of the crop rectangle
+       * X 
+       * @description The left x coordinate of the crop rectangle 
        * @default 0
        */
       x?: number;
       /**
-       * Y
-       * @description The top y coordinate of the crop rectangle
+       * Y 
+       * @description The top y coordinate of the crop rectangle 
        * @default 0
        */
       y?: number;
       /**
-       * Width
-       * @description The width of the crop rectangle
+       * Width 
+       * @description The width of the crop rectangle 
        * @default 512
        */
       width?: number;
       /**
-       * Height
-       * @description The height of the crop rectangle
+       * Height 
+       * @description The height of the crop rectangle 
        * @default 512
        */
       height?: number;
     };
     /**
-     * ImageDTO
+     * ImageDTO 
      * @description Deserialized image record, enriched for the frontend.
      */
     ImageDTO: {
       /**
-       * Image Name
+       * Image Name 
        * @description The unique name of the image.
        */
       image_name: string;
       /**
-       * Image Url
+       * Image Url 
        * @description The URL of the image.
        */
       image_url: string;
       /**
-       * Thumbnail Url
+       * Thumbnail Url 
        * @description The URL of the image's thumbnail.
        */
       thumbnail_url: string;
       /** @description The type of the image. */
-      image_origin: components['schemas']['ResourceOrigin'];
+      image_origin: components["schemas"]["ResourceOrigin"];
       /** @description The category of the image. */
-      image_category: components['schemas']['ImageCategory'];
+      image_category: components["schemas"]["ImageCategory"];
       /**
-       * Width
+       * Width 
        * @description The width of the image in px.
        */
       width: number;
       /**
-       * Height
+       * Height 
        * @description The height of the image in px.
        */
       height: number;
       /**
-       * Created At
+       * Created At 
        * @description The created timestamp of the image.
        */
       created_at: string;
       /**
-       * Updated At
+       * Updated At 
        * @description The updated timestamp of the image.
        */
       updated_at: string;
       /**
-       * Deleted At
+       * Deleted At 
        * @description The deleted timestamp of the image.
        */
       deleted_at?: string;
       /**
-       * Is Intermediate
+       * Is Intermediate 
        * @description Whether this is an intermediate image.
        */
       is_intermediate: boolean;
       /**
-       * Session Id
+       * Session Id 
        * @description The session ID that generated this image, if it is a generated image.
        */
       session_id?: string;
       /**
-       * Node Id
+       * Node Id 
        * @description The node ID that generated this image, if it is a generated image.
        */
       node_id?: string;
       /**
-       * Starred
+       * Starred 
        * @description Whether this image is starred.
        */
       starred: boolean;
       /**
-       * Board Id
+       * Board Id 
        * @description The id of the board the image belongs to, if one exists.
        */
       board_id?: string;
     };
     /**
-     * ImageField
+     * ImageField 
      * @description An image primitive field
      */
     ImageField: {
       /**
-       * Image Name
+       * Image Name 
        * @description The name of the image
        */
       image_name: string;
     };
     /**
-     * Image Hue Adjustment
+     * Image Hue Adjustment 
      * @description Adjusts the Hue of an image.
      */
     ImageHueAdjustmentInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default img_hue_adjust
+       * Type 
+       * @default img_hue_adjust 
        * @enum {string}
        */
-      type: 'img_hue_adjust';
+      type: "img_hue_adjust";
       /**
-       * Image
+       * Image 
        * @description The image to adjust
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Hue
-       * @description The degrees by which to rotate the hue, 0-360
+       * Hue 
+       * @description The degrees by which to rotate the hue, 0-360 
        * @default 0
        */
       hue?: number;
     };
     /**
-     * Inverse Lerp Image
+     * Inverse Lerp Image 
      * @description Inverse linear interpolation of all pixels of an image
      */
     ImageInverseLerpInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default img_ilerp
+       * Type 
+       * @default img_ilerp 
        * @enum {string}
        */
-      type: 'img_ilerp';
+      type: "img_ilerp";
       /**
-       * Image
+       * Image 
        * @description The image to lerp
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Min
-       * @description The minimum input value
+       * Min 
+       * @description The minimum input value 
        * @default 0
        */
       min?: number;
       /**
-       * Max
-       * @description The maximum input value
+       * Max 
+       * @description The maximum input value 
        * @default 255
        */
       max?: number;
     };
     /**
-     * Image Primitive
+     * Image Primitive 
      * @description An image primitive value
      */
     ImageInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default image
+       * Type 
+       * @default image 
        * @enum {string}
        */
-      type: 'image';
+      type: "image";
       /**
-       * Image
+       * Image 
        * @description The image to load
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
     };
     /**
-     * Lerp Image
+     * Lerp Image 
      * @description Linear interpolation of all pixels of an image
      */
     ImageLerpInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default img_lerp
+       * Type 
+       * @default img_lerp 
        * @enum {string}
        */
-      type: 'img_lerp';
+      type: "img_lerp";
       /**
-       * Image
+       * Image 
        * @description The image to lerp
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Min
-       * @description The minimum output value
+       * Min 
+       * @description The minimum output value 
        * @default 0
        */
       min?: number;
       /**
-       * Max
-       * @description The maximum output value
+       * Max 
+       * @description The maximum output value 
        * @default 255
        */
       max?: number;
     };
     /**
-     * Image Luminosity Adjustment
+     * Image Luminosity Adjustment 
      * @description Adjusts the Luminosity (Value) of an image.
      */
     ImageLuminosityAdjustmentInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default img_luminosity_adjust
+       * Type 
+       * @default img_luminosity_adjust 
        * @enum {string}
        */
-      type: 'img_luminosity_adjust';
+      type: "img_luminosity_adjust";
       /**
-       * Image
+       * Image 
        * @description The image to adjust
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Luminosity
-       * @description The factor by which to adjust the luminosity (value)
+       * Luminosity 
+       * @description The factor by which to adjust the luminosity (value) 
        * @default 1
        */
       luminosity?: number;
     };
     /**
-     * ImageMetadata
+     * ImageMetadata 
      * @description An image's generation metadata
      */
     ImageMetadata: {
       /**
-       * Metadata
+       * Metadata 
        * @description The image's core metadata, if it was created in the Linear or Canvas UI
        */
       metadata?: Record<string, never>;
       /**
-       * Graph
+       * Graph 
        * @description The graph that created the image
        */
       graph?: Record<string, never>;
     };
     /**
-     * Multiply Images
+     * Multiply Images 
      * @description Multiplies two images together using `PIL.ImageChops.multiply()`.
      */
     ImageMultiplyInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default img_mul
+       * Type 
+       * @default img_mul 
        * @enum {string}
        */
-      type: 'img_mul';
+      type: "img_mul";
       /**
-       * Image1
+       * Image1 
        * @description The first image to multiply
        */
-      image1?: components['schemas']['ImageField'];
+      image1?: components["schemas"]["ImageField"];
       /**
-       * Image2
+       * Image2 
        * @description The second image to multiply
        */
-      image2?: components['schemas']['ImageField'];
+      image2?: components["schemas"]["ImageField"];
     };
     /**
-     * Blur NSFW Image
+     * Blur NSFW Image 
      * @description Add blur to NSFW-flagged images
      */
     ImageNSFWBlurInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default img_nsfw
+       * Type 
+       * @default img_nsfw 
        * @enum {string}
        */
-      type: 'img_nsfw';
+      type: "img_nsfw";
       /**
-       * Metadata
+       * Metadata 
        * @description Optional core metadata to be written to image
        */
-      metadata?: components['schemas']['CoreMetadata'];
+      metadata?: components["schemas"]["CoreMetadata"];
       /**
-       * Image
+       * Image 
        * @description The image to check
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
     };
     /**
-     * ImageOutput
+     * ImageOutput 
      * @description Base class for nodes that output a single image
      */
     ImageOutput: {
       /**
-       * Type
-       * @default image_output
+       * Type 
+       * @default image_output 
        * @enum {string}
        */
-      type?: 'image_output';
+      type?: "image_output";
       /**
-       * Image
+       * Image 
        * @description The output image
        */
-      image: components['schemas']['ImageField'];
+      image: components["schemas"]["ImageField"];
       /**
-       * Width
+       * Width 
        * @description The width of the image in pixels
        */
       width: number;
       /**
-       * Height
+       * Height 
        * @description The height of the image in pixels
        */
       height: number;
     };
     /**
-     * Paste Image
+     * Paste Image 
      * @description Pastes an image into another image.
      */
     ImagePasteInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default img_paste
+       * Type 
+       * @default img_paste 
        * @enum {string}
        */
-      type: 'img_paste';
+      type: "img_paste";
       /**
-       * Base Image
+       * Base Image 
        * @description The base image
        */
-      base_image?: components['schemas']['ImageField'];
+      base_image?: components["schemas"]["ImageField"];
       /**
-       * Image
+       * Image 
        * @description The image to paste
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Mask
+       * Mask 
        * @description The mask to use when pasting
        */
-      mask?: components['schemas']['ImageField'];
+      mask?: components["schemas"]["ImageField"];
       /**
-       * X
-       * @description The left x coordinate at which to paste the image
+       * X 
+       * @description The left x coordinate at which to paste the image 
        * @default 0
        */
       x?: number;
       /**
-       * Y
-       * @description The top y coordinate at which to paste the image
+       * Y 
+       * @description The top y coordinate at which to paste the image 
        * @default 0
        */
       y?: number;
     };
     /**
-     * ImageProcessorInvocation
+     * ImageProcessorInvocation 
      * @description Base class for invocations that preprocess images for ControlNet
      */
     ImageProcessorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default image_processor
+       * Type 
+       * @default image_processor 
        * @enum {string}
        */
-      type: 'image_processor';
+      type: "image_processor";
       /**
-       * Image
+       * Image 
        * @description The image to process
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
     };
     /**
-     * ImageRecordChanges
+     * ImageRecordChanges 
      * @description A set of changes to apply to an image record.
-     *
+     * 
      * Only limited changes are valid:
      *   - `image_category`: change the category of an image
      *   - `session_id`: change the session associated with an image
@@ -2915,300 +2754,288 @@ export type components = {
      */
     ImageRecordChanges: {
       /** @description The image's new category. */
-      image_category?: components['schemas']['ImageCategory'];
+      image_category?: components["schemas"]["ImageCategory"];
       /**
-       * Session Id
+       * Session Id 
        * @description The image's new session ID.
        */
       session_id?: string;
       /**
-       * Is Intermediate
+       * Is Intermediate 
        * @description The image's new `is_intermediate` flag.
        */
       is_intermediate?: boolean;
       /**
-       * Starred
+       * Starred 
        * @description The image's new `starred` state
        */
       starred?: boolean;
     };
     /**
-     * Resize Image
+     * Resize Image 
      * @description Resizes an image to specific dimensions
      */
     ImageResizeInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default img_resize
+       * Type 
+       * @default img_resize 
        * @enum {string}
        */
-      type: 'img_resize';
+      type: "img_resize";
       /**
-       * Image
+       * Image 
        * @description The image to resize
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Width
-       * @description The width to resize to (px)
+       * Width 
+       * @description The width to resize to (px) 
        * @default 512
        */
       width?: number;
       /**
-       * Height
-       * @description The height to resize to (px)
+       * Height 
+       * @description The height to resize to (px) 
        * @default 512
        */
       height?: number;
       /**
-       * Resample Mode
-       * @description The resampling mode
-       * @default bicubic
+       * Resample Mode 
+       * @description The resampling mode 
+       * @default bicubic 
        * @enum {string}
        */
-      resample_mode?:
-        | 'nearest'
-        | 'box'
-        | 'bilinear'
-        | 'hamming'
-        | 'bicubic'
-        | 'lanczos';
+      resample_mode?: "nearest" | "box" | "bilinear" | "hamming" | "bicubic" | "lanczos";
     };
     /**
-     * Image Saturation Adjustment
+     * Image Saturation Adjustment 
      * @description Adjusts the Saturation of an image.
      */
     ImageSaturationAdjustmentInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default img_saturation_adjust
+       * Type 
+       * @default img_saturation_adjust 
        * @enum {string}
        */
-      type: 'img_saturation_adjust';
+      type: "img_saturation_adjust";
       /**
-       * Image
+       * Image 
        * @description The image to adjust
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Saturation
-       * @description The factor by which to adjust the saturation
+       * Saturation 
+       * @description The factor by which to adjust the saturation 
        * @default 1
        */
       saturation?: number;
     };
     /**
-     * Scale Image
+     * Scale Image 
      * @description Scales an image by a factor
      */
     ImageScaleInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default img_scale
+       * Type 
+       * @default img_scale 
        * @enum {string}
        */
-      type: 'img_scale';
+      type: "img_scale";
       /**
-       * Image
+       * Image 
        * @description The image to scale
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Scale Factor
-       * @description The factor by which to scale the image
+       * Scale Factor 
+       * @description The factor by which to scale the image 
        * @default 2
        */
       scale_factor?: number;
       /**
-       * Resample Mode
-       * @description The resampling mode
-       * @default bicubic
+       * Resample Mode 
+       * @description The resampling mode 
+       * @default bicubic 
        * @enum {string}
        */
-      resample_mode?:
-        | 'nearest'
-        | 'box'
-        | 'bilinear'
-        | 'hamming'
-        | 'bicubic'
-        | 'lanczos';
+      resample_mode?: "nearest" | "box" | "bilinear" | "hamming" | "bicubic" | "lanczos";
     };
     /**
-     * Image to Latents
+     * Image to Latents 
      * @description Encodes an image into latents.
      */
     ImageToLatentsInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default i2l
+       * Type 
+       * @default i2l 
        * @enum {string}
        */
-      type: 'i2l';
+      type: "i2l";
       /**
-       * Image
+       * Image 
        * @description The image to encode
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Vae
+       * Vae 
        * @description VAE
        */
-      vae?: components['schemas']['VaeField'];
+      vae?: components["schemas"]["VaeField"];
       /**
-       * Tiled
-       * @description Processing using overlapping tiles (reduce memory consumption)
+       * Tiled 
+       * @description Processing using overlapping tiles (reduce memory consumption) 
        * @default false
        */
       tiled?: boolean;
       /**
-       * Fp32
-       * @description Whether or not to use full float32 precision
+       * Fp32 
+       * @description Whether or not to use full float32 precision 
        * @default false
        */
       fp32?: boolean;
     };
     /**
-     * ImageUrlsDTO
+     * ImageUrlsDTO 
      * @description The URLs for an image and its thumbnail.
      */
     ImageUrlsDTO: {
       /**
-       * Image Name
+       * Image Name 
        * @description The unique name of the image.
        */
       image_name: string;
       /**
-       * Image Url
+       * Image Url 
        * @description The URL of the image.
        */
       image_url: string;
       /**
-       * Thumbnail Url
+       * Thumbnail Url 
        * @description The URL of the image's thumbnail.
        */
       thumbnail_url: string;
     };
     /**
-     * Add Invisible Watermark
+     * Add Invisible Watermark 
      * @description Add an invisible watermark to an image
      */
     ImageWatermarkInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default img_watermark
+       * Type 
+       * @default img_watermark 
        * @enum {string}
        */
-      type: 'img_watermark';
+      type: "img_watermark";
       /**
-       * Image
+       * Image 
        * @description The image to check
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Text
-       * @description Watermark text
+       * Text 
+       * @description Watermark text 
        * @default InvokeAI
        */
       text?: string;
       /**
-       * Metadata
+       * Metadata 
        * @description Optional core metadata to be written to image
        */
-      metadata?: components['schemas']['CoreMetadata'];
+      metadata?: components["schemas"]["CoreMetadata"];
     };
     /** ImagesUpdatedFromListResult */
     ImagesUpdatedFromListResult: {
       /**
-       * Updated Image Names
+       * Updated Image Names 
        * @description The image names that were updated
        */
-      updated_image_names: string[];
+      updated_image_names: (string)[];
     };
     /**
-     * Solid Color Infill
+     * Solid Color Infill 
      * @description Infills transparent areas of an image with a solid color
      */
     InfillColorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default infill_rgba
+       * Type 
+       * @default infill_rgba 
        * @enum {string}
        */
-      type: 'infill_rgba';
+      type: "infill_rgba";
       /**
-       * Image
+       * Image 
        * @description The image to infill
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Color
-       * @description The color to use to infill
+       * Color 
+       * @description The color to use to infill 
        * @default {
        *   "r": 127,
        *   "g": 127,
@@ -3216,541 +3043,541 @@ export type components = {
        *   "a": 255
        * }
        */
-      color?: components['schemas']['ColorField'];
+      color?: components["schemas"]["ColorField"];
     };
     /**
-     * PatchMatch Infill
+     * PatchMatch Infill 
      * @description Infills transparent areas of an image using the PatchMatch algorithm
      */
     InfillPatchMatchInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default infill_patchmatch
+       * Type 
+       * @default infill_patchmatch 
        * @enum {string}
        */
-      type: 'infill_patchmatch';
+      type: "infill_patchmatch";
       /**
-       * Image
+       * Image 
        * @description The image to infill
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
     };
     /**
-     * Tile Infill
+     * Tile Infill 
      * @description Infills transparent areas of an image with tiles of the image
      */
     InfillTileInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default infill_tile
+       * Type 
+       * @default infill_tile 
        * @enum {string}
        */
-      type: 'infill_tile';
+      type: "infill_tile";
       /**
-       * Image
+       * Image 
        * @description The image to infill
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Tile Size
-       * @description The tile size (px)
+       * Tile Size 
+       * @description The tile size (px) 
        * @default 32
        */
       tile_size?: number;
       /**
-       * Seed
+       * Seed 
        * @description The seed to use for tile generation (omit for random)
        */
       seed?: number;
     };
     /**
-     * Integer Collection
+     * Integer Collection 
      * @description A collection of integer primitive values
      */
     IntegerCollectionInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default integer_collection
+       * Type 
+       * @default integer_collection 
        * @enum {string}
        */
-      type: 'integer_collection';
+      type: "integer_collection";
       /**
-       * Collection
-       * @description The collection of integer values
+       * Collection 
+       * @description The collection of integer values 
        * @default 0
        */
-      collection?: number[];
+      collection?: (number)[];
     };
     /**
-     * IntegerCollectionOutput
+     * IntegerCollectionOutput 
      * @description Base class for nodes that output a collection of integers
      */
     IntegerCollectionOutput: {
       /**
-       * Type
-       * @default integer_collection_output
+       * Type 
+       * @default integer_collection_output 
        * @enum {string}
        */
-      type?: 'integer_collection_output';
+      type?: "integer_collection_output";
       /**
-       * Collection
+       * Collection 
        * @description The int collection
        */
-      collection?: number[];
+      collection?: (number)[];
     };
     /**
-     * Integer
+     * Integer 
      * @description An integer primitive value
      */
     IntegerInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default integer
+       * Type 
+       * @default integer 
        * @enum {string}
        */
-      type: 'integer';
+      type: "integer";
       /**
-       * A
-       * @description The integer value
+       * A 
+       * @description The integer value 
        * @default 0
        */
       a?: number;
     };
     /**
-     * IntegerOutput
+     * IntegerOutput 
      * @description Base class for nodes that output a single integer
      */
     IntegerOutput: {
       /**
-       * Type
-       * @default integer_output
+       * Type 
+       * @default integer_output 
        * @enum {string}
        */
-      type?: 'integer_output';
+      type?: "integer_output";
       /**
-       * A
+       * A 
        * @description The output integer
        */
       a: number;
     };
     /**
-     * IterateInvocation
+     * IterateInvocation 
      * @description Iterates over a list of items
      */
     IterateInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default iterate
+       * Type 
+       * @default iterate 
        * @enum {string}
        */
-      type: 'iterate';
+      type: "iterate";
       /**
-       * Collection
+       * Collection 
        * @description The list of items to iterate over
        */
-      collection?: unknown[];
+      collection?: (unknown)[];
       /**
-       * Index
-       * @description The index, will be provided on executed iterators
+       * Index 
+       * @description The index, will be provided on executed iterators 
        * @default 0
        */
       index?: number;
     };
     /**
-     * IterateInvocationOutput
+     * IterateInvocationOutput 
      * @description Used to connect iteration outputs. Will be expanded to a specific output.
      */
     IterateInvocationOutput: {
       /**
-       * Type
-       * @default iterate_output
+       * Type 
+       * @default iterate_output 
        * @enum {string}
        */
-      type?: 'iterate_output';
+      type?: "iterate_output";
       /**
-       * Collection Item
+       * Collection Item 
        * @description The item being iterated over
        */
       item?: unknown;
     };
     /**
-     * Latents Collection
+     * Latents Collection 
      * @description A collection of latents tensor primitive values
      */
     LatentsCollectionInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default latents_collection
+       * Type 
+       * @default latents_collection 
        * @enum {string}
        */
-      type: 'latents_collection';
+      type: "latents_collection";
       /**
-       * Collection
-       * @description The collection of latents tensors
+       * Collection 
+       * @description The collection of latents tensors 
        * @default 0
        */
-      collection?: components['schemas']['LatentsField'][];
+      collection?: (components["schemas"]["LatentsField"])[];
     };
     /**
-     * LatentsCollectionOutput
+     * LatentsCollectionOutput 
      * @description Base class for nodes that output a collection of latents tensors
      */
     LatentsCollectionOutput: {
       /**
-       * Type
-       * @default latents_collection_output
+       * Type 
+       * @default latents_collection_output 
        * @enum {string}
        */
-      type?: 'latents_collection_output';
+      type?: "latents_collection_output";
       /**
-       * Collection
+       * Collection 
        * @description Latents tensor
        */
-      collection?: components['schemas']['LatentsField'][];
+      collection?: (components["schemas"]["LatentsField"])[];
     };
     /**
-     * LatentsField
+     * LatentsField 
      * @description A latents tensor primitive field
      */
     LatentsField: {
       /**
-       * Latents Name
+       * Latents Name 
        * @description The name of the latents
        */
       latents_name: string;
       /**
-       * Seed
+       * Seed 
        * @description Seed used to generate this latents
        */
       seed?: number;
     };
     /**
-     * Latents Primitive
+     * Latents Primitive 
      * @description A latents tensor primitive value
      */
     LatentsInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default latents
+       * Type 
+       * @default latents 
        * @enum {string}
        */
-      type: 'latents';
+      type: "latents";
       /**
-       * Latents
+       * Latents 
        * @description The latents tensor
        */
-      latents?: components['schemas']['LatentsField'];
+      latents?: components["schemas"]["LatentsField"];
     };
     /**
-     * LatentsOutput
+     * LatentsOutput 
      * @description Base class for nodes that output a single latents tensor
      */
     LatentsOutput: {
       /**
-       * Type
-       * @default latents_output
+       * Type 
+       * @default latents_output 
        * @enum {string}
        */
-      type?: 'latents_output';
+      type?: "latents_output";
       /**
-       * Latents
+       * Latents 
        * @description Latents tensor
        */
-      latents: components['schemas']['LatentsField'];
+      latents: components["schemas"]["LatentsField"];
       /**
-       * Width
+       * Width 
        * @description Width of output (px)
        */
       width: number;
       /**
-       * Height
+       * Height 
        * @description Height of output (px)
        */
       height: number;
     };
     /**
-     * Latents to Image
+     * Latents to Image 
      * @description Generates an image from latents.
      */
     LatentsToImageInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default l2i
+       * Type 
+       * @default l2i 
        * @enum {string}
        */
-      type: 'l2i';
+      type: "l2i";
       /**
-       * Tiled
-       * @description Processing using overlapping tiles (reduce memory consumption)
+       * Tiled 
+       * @description Processing using overlapping tiles (reduce memory consumption) 
        * @default false
        */
       tiled?: boolean;
       /**
-       * Fp32
-       * @description Whether or not to use full float32 precision
+       * Fp32 
+       * @description Whether or not to use full float32 precision 
        * @default false
        */
       fp32?: boolean;
       /**
-       * Metadata
+       * Metadata 
        * @description Optional core metadata to be written to image
        */
-      metadata?: components['schemas']['CoreMetadata'];
+      metadata?: components["schemas"]["CoreMetadata"];
       /**
-       * Latents
+       * Latents 
        * @description Latents tensor
        */
-      latents?: components['schemas']['LatentsField'];
+      latents?: components["schemas"]["LatentsField"];
       /**
-       * Vae
+       * Vae 
        * @description VAE
        */
-      vae?: components['schemas']['VaeField'];
+      vae?: components["schemas"]["VaeField"];
     };
     /**
-     * Leres (Depth) Processor
+     * Leres (Depth) Processor 
      * @description Applies leres processing to image
      */
     LeresImageProcessorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default leres_image_processor
+       * Type 
+       * @default leres_image_processor 
        * @enum {string}
        */
-      type: 'leres_image_processor';
+      type: "leres_image_processor";
       /**
-       * Image
+       * Image 
        * @description The image to process
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Thr A
-       * @description Leres parameter `thr_a`
+       * Thr A 
+       * @description Leres parameter `thr_a` 
        * @default 0
        */
       thr_a?: number;
       /**
-       * Thr B
-       * @description Leres parameter `thr_b`
+       * Thr B 
+       * @description Leres parameter `thr_b` 
        * @default 0
        */
       thr_b?: number;
       /**
-       * Boost
-       * @description Whether to use boost mode
+       * Boost 
+       * @description Whether to use boost mode 
        * @default false
        */
       boost?: boolean;
       /**
-       * Detect Resolution
-       * @description Pixel resolution for detection
+       * Detect Resolution 
+       * @description Pixel resolution for detection 
        * @default 512
        */
       detect_resolution?: number;
       /**
-       * Image Resolution
-       * @description Pixel resolution for output image
+       * Image Resolution 
+       * @description Pixel resolution for output image 
        * @default 512
        */
       image_resolution?: number;
     };
     /**
-     * Lineart Anime Processor
+     * Lineart Anime Processor 
      * @description Applies line art anime processing to image
      */
     LineartAnimeImageProcessorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default lineart_anime_image_processor
+       * Type 
+       * @default lineart_anime_image_processor 
        * @enum {string}
        */
-      type: 'lineart_anime_image_processor';
+      type: "lineart_anime_image_processor";
       /**
-       * Image
+       * Image 
        * @description The image to process
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Detect Resolution
-       * @description Pixel resolution for detection
+       * Detect Resolution 
+       * @description Pixel resolution for detection 
        * @default 512
        */
       detect_resolution?: number;
       /**
-       * Image Resolution
-       * @description Pixel resolution for output image
+       * Image Resolution 
+       * @description Pixel resolution for output image 
        * @default 512
        */
       image_resolution?: number;
     };
     /**
-     * Lineart Processor
+     * Lineart Processor 
      * @description Applies line art processing to image
      */
     LineartImageProcessorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default lineart_image_processor
+       * Type 
+       * @default lineart_image_processor 
        * @enum {string}
        */
-      type: 'lineart_image_processor';
+      type: "lineart_image_processor";
       /**
-       * Image
+       * Image 
        * @description The image to process
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Detect Resolution
-       * @description Pixel resolution for detection
+       * Detect Resolution 
+       * @description Pixel resolution for detection 
        * @default 512
        */
       detect_resolution?: number;
       /**
-       * Image Resolution
-       * @description Pixel resolution for output image
+       * Image Resolution 
+       * @description Pixel resolution for output image 
        * @default 512
        */
       image_resolution?: number;
       /**
-       * Coarse
-       * @description Whether to use coarse mode
+       * Coarse 
+       * @description Whether to use coarse mode 
        * @default false
        */
       coarse?: boolean;
     };
     /**
-     * LoRAMetadataField
+     * LoRAMetadataField 
      * @description LoRA metadata for an image generated in InvokeAI.
      */
     LoRAMetadataField: {
       /**
-       * Lora
+       * Lora 
        * @description The LoRA model
        */
-      lora: components['schemas']['LoRAModelField'];
+      lora: components["schemas"]["LoRAModelField"];
       /**
-       * Weight
+       * Weight 
        * @description The weight of the LoRA model
        */
       weight: number;
@@ -3759,1520 +3586,1466 @@ export type components = {
     LoRAModelConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
       /**
-       * Model Type
+       * Model Type 
        * @enum {string}
        */
-      model_type: 'lora';
+      model_type: "lora";
       /** Path */
       path: string;
       /** Description */
       description?: string;
-      model_format: components['schemas']['LoRAModelFormat'];
-      error?: components['schemas']['ModelError'];
+      model_format: components["schemas"]["LoRAModelFormat"];
+      error?: components["schemas"]["ModelError"];
     };
     /**
-     * LoRAModelField
+     * LoRAModelField 
      * @description LoRA model field
      */
     LoRAModelField: {
       /**
-       * Model Name
+       * Model Name 
        * @description Name of the LoRA model
        */
       model_name: string;
       /** @description Base model */
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
     };
     /**
-     * LoRAModelFormat
-     * @description An enumeration.
+     * LoRAModelFormat 
+     * @description An enumeration. 
      * @enum {string}
      */
-    LoRAModelFormat: 'lycoris' | 'diffusers';
+    LoRAModelFormat: "lycoris" | "diffusers";
     /**
-     * LogLevel
-     * @description An enumeration.
+     * LogLevel 
+     * @description An enumeration. 
      * @enum {integer}
      */
     LogLevel: 0 | 10 | 20 | 30 | 40 | 50;
     /** LoraInfo */
     LoraInfo: {
       /**
-       * Model Name
+       * Model Name 
        * @description Info to load submodel
        */
       model_name: string;
       /** @description Base model */
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
       /** @description Info to load submodel */
-      model_type: components['schemas']['ModelType'];
+      model_type: components["schemas"]["ModelType"];
       /** @description Info to load submodel */
-      submodel?: components['schemas']['SubModelType'];
+      submodel?: components["schemas"]["SubModelType"];
       /**
-       * Weight
+       * Weight 
        * @description Lora's weight which to use when apply to model
        */
       weight: number;
     };
     /**
-     * LoRA Loader
+     * LoRA Loader 
      * @description Apply selected lora to unet and text_encoder.
      */
     LoraLoaderInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default lora_loader
+       * Type 
+       * @default lora_loader 
        * @enum {string}
        */
-      type: 'lora_loader';
+      type: "lora_loader";
       /**
-       * LoRA
+       * LoRA 
        * @description LoRA model to load
        */
-      lora: components['schemas']['LoRAModelField'];
+      lora: components["schemas"]["LoRAModelField"];
       /**
-       * Weight
-       * @description The weight at which the LoRA is applied to each model
+       * Weight 
+       * @description The weight at which the LoRA is applied to each model 
        * @default 0.75
        */
       weight?: number;
       /**
-       * UNet
+       * UNet 
        * @description UNet (scheduler, LoRAs)
        */
-      unet?: components['schemas']['UNetField'];
+      unet?: components["schemas"]["UNetField"];
       /**
-       * CLIP
+       * CLIP 
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components['schemas']['ClipField'];
+      clip?: components["schemas"]["ClipField"];
     };
     /**
-     * LoraLoaderOutput
+     * LoraLoaderOutput 
      * @description Model loader output
      */
     LoraLoaderOutput: {
       /**
-       * Type
-       * @default lora_loader_output
+       * Type 
+       * @default lora_loader_output 
        * @enum {string}
        */
-      type?: 'lora_loader_output';
+      type?: "lora_loader_output";
       /**
-       * UNet
+       * UNet 
        * @description UNet (scheduler, LoRAs)
        */
-      unet?: components['schemas']['UNetField'];
+      unet?: components["schemas"]["UNetField"];
       /**
-       * CLIP
+       * CLIP 
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components['schemas']['ClipField'];
+      clip?: components["schemas"]["ClipField"];
     };
     /**
-     * MainModelField
+     * MainModelField 
      * @description Main model field
      */
     MainModelField: {
       /**
-       * Model Name
+       * Model Name 
        * @description Name of the model
        */
       model_name: string;
       /** @description Base model */
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
       /** @description Model Type */
-      model_type: components['schemas']['ModelType'];
+      model_type: components["schemas"]["ModelType"];
     };
     /**
-     * Main Model Loader
+     * Main Model Loader 
      * @description Loads a main model, outputting its submodels.
      */
     MainModelLoaderInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default main_model_loader
+       * Type 
+       * @default main_model_loader 
        * @enum {string}
        */
-      type: 'main_model_loader';
+      type: "main_model_loader";
       /**
-       * Model
+       * Model 
        * @description Main model (UNet, VAE, CLIP) to load
        */
-      model: components['schemas']['MainModelField'];
+      model: components["schemas"]["MainModelField"];
     };
     /**
-     * Combine Mask
+     * Combine Mask 
      * @description Combine two masks together by multiplying them using `PIL.ImageChops.multiply()`.
      */
     MaskCombineInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default mask_combine
+       * Type 
+       * @default mask_combine 
        * @enum {string}
        */
-      type: 'mask_combine';
+      type: "mask_combine";
       /**
-       * Mask1
+       * Mask1 
        * @description The first mask to combine
        */
-      mask1?: components['schemas']['ImageField'];
+      mask1?: components["schemas"]["ImageField"];
       /**
-       * Mask2
+       * Mask2 
        * @description The second image to combine
        */
-      mask2?: components['schemas']['ImageField'];
+      mask2?: components["schemas"]["ImageField"];
     };
     /**
-     * Mask Edge
+     * Mask Edge 
      * @description Applies an edge mask to an image
      */
     MaskEdgeInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default mask_edge
+       * Type 
+       * @default mask_edge 
        * @enum {string}
        */
-      type: 'mask_edge';
+      type: "mask_edge";
       /**
-       * Image
+       * Image 
        * @description The image to apply the mask to
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Edge Size
+       * Edge Size 
        * @description The size of the edge
        */
       edge_size?: number;
       /**
-       * Edge Blur
+       * Edge Blur 
        * @description The amount of blur on the edge
        */
       edge_blur?: number;
       /**
-       * Low Threshold
+       * Low Threshold 
        * @description First threshold for the hysteresis procedure in Canny edge detection
        */
       low_threshold?: number;
       /**
-       * High Threshold
+       * High Threshold 
        * @description Second threshold for the hysteresis procedure in Canny edge detection
        */
       high_threshold?: number;
     };
     /**
-     * Mask from Alpha
+     * Mask from Alpha 
      * @description Extracts the alpha channel of an image as a mask.
      */
     MaskFromAlphaInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default tomask
+       * Type 
+       * @default tomask 
        * @enum {string}
        */
-      type: 'tomask';
+      type: "tomask";
       /**
-       * Image
+       * Image 
        * @description The image to create the mask from
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Invert
-       * @description Whether or not to invert the mask
+       * Invert 
+       * @description Whether or not to invert the mask 
        * @default false
        */
       invert?: boolean;
     };
     /**
-     * Mediapipe Face Processor
+     * Mediapipe Face Processor 
      * @description Applies mediapipe face processing to image
      */
     MediapipeFaceProcessorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default mediapipe_face_processor
+       * Type 
+       * @default mediapipe_face_processor 
        * @enum {string}
        */
-      type: 'mediapipe_face_processor';
+      type: "mediapipe_face_processor";
       /**
-       * Image
+       * Image 
        * @description The image to process
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Max Faces
-       * @description Maximum number of faces to detect
+       * Max Faces 
+       * @description Maximum number of faces to detect 
        * @default 1
        */
       max_faces?: number;
       /**
-       * Min Confidence
-       * @description Minimum confidence for face detection
+       * Min Confidence 
+       * @description Minimum confidence for face detection 
        * @default 0.5
        */
       min_confidence?: number;
     };
     /**
-     * MergeInterpolationMethod
-     * @description An enumeration.
+     * MergeInterpolationMethod 
+     * @description An enumeration. 
      * @enum {string}
      */
-    MergeInterpolationMethod:
-      | 'weighted_sum'
-      | 'sigmoid'
-      | 'inv_sigmoid'
-      | 'add_difference';
+    MergeInterpolationMethod: "weighted_sum" | "sigmoid" | "inv_sigmoid" | "add_difference";
     /**
-     * Metadata Accumulator
+     * Metadata Accumulator 
      * @description Outputs a Core Metadata Object
      */
     MetadataAccumulatorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default metadata_accumulator
+       * Type 
+       * @default metadata_accumulator 
        * @enum {string}
        */
-      type: 'metadata_accumulator';
+      type: "metadata_accumulator";
       /**
-       * Generation Mode
+       * Generation Mode 
        * @description The generation mode that output this image
        */
       generation_mode?: string;
       /**
-       * Positive Prompt
+       * Positive Prompt 
        * @description The positive prompt parameter
        */
       positive_prompt?: string;
       /**
-       * Negative Prompt
+       * Negative Prompt 
        * @description The negative prompt parameter
        */
       negative_prompt?: string;
       /**
-       * Width
+       * Width 
        * @description The width parameter
        */
       width?: number;
       /**
-       * Height
+       * Height 
        * @description The height parameter
        */
       height?: number;
       /**
-       * Seed
+       * Seed 
        * @description The seed used for noise generation
        */
       seed?: number;
       /**
-       * Rand Device
+       * Rand Device 
        * @description The device used for random number generation
        */
       rand_device?: string;
       /**
-       * Cfg Scale
+       * Cfg Scale 
        * @description The classifier-free guidance scale parameter
        */
       cfg_scale?: number;
       /**
-       * Steps
+       * Steps 
        * @description The number of steps used for inference
        */
       steps?: number;
       /**
-       * Scheduler
+       * Scheduler 
        * @description The scheduler used for inference
        */
       scheduler?: string;
       /**
-       * Clip Skip
+       * Clip Skip 
        * @description The number of skipped CLIP layers
        */
       clip_skip?: number;
       /**
-       * Model
+       * Model 
        * @description The main model used for inference
        */
-      model?: components['schemas']['MainModelField'];
+      model?: components["schemas"]["MainModelField"];
       /**
-       * Controlnets
+       * Controlnets 
        * @description The ControlNets used for inference
        */
-      controlnets?: components['schemas']['ControlField'][];
+      controlnets?: (components["schemas"]["ControlField"])[];
       /**
-       * Loras
+       * Loras 
        * @description The LoRAs used for inference
        */
-      loras?: components['schemas']['LoRAMetadataField'][];
+      loras?: (components["schemas"]["LoRAMetadataField"])[];
       /**
-       * Strength
+       * Strength 
        * @description The strength used for latents-to-latents
        */
       strength?: number;
       /**
-       * Init Image
+       * Init Image 
        * @description The name of the initial image
        */
       init_image?: string;
       /**
-       * Vae
+       * Vae 
        * @description The VAE used for decoding, if the main model's default was not used
        */
-      vae?: components['schemas']['VAEModelField'];
+      vae?: components["schemas"]["VAEModelField"];
       /**
-       * Positive Style Prompt
+       * Positive Style Prompt 
        * @description The positive style prompt parameter
        */
       positive_style_prompt?: string;
       /**
-       * Negative Style Prompt
+       * Negative Style Prompt 
        * @description The negative style prompt parameter
        */
       negative_style_prompt?: string;
       /**
-       * Refiner Model
+       * Refiner Model 
        * @description The SDXL Refiner model used
        */
-      refiner_model?: components['schemas']['MainModelField'];
+      refiner_model?: components["schemas"]["MainModelField"];
       /**
-       * Refiner Cfg Scale
+       * Refiner Cfg Scale 
        * @description The classifier-free guidance scale parameter used for the refiner
        */
       refiner_cfg_scale?: number;
       /**
-       * Refiner Steps
+       * Refiner Steps 
        * @description The number of steps used for the refiner
        */
       refiner_steps?: number;
       /**
-       * Refiner Scheduler
+       * Refiner Scheduler 
        * @description The scheduler used for the refiner
        */
       refiner_scheduler?: string;
       /**
-       * Refiner Positive Aesthetic Store
+       * Refiner Positive Aesthetic Store 
        * @description The aesthetic score used for the refiner
        */
       refiner_positive_aesthetic_store?: number;
       /**
-       * Refiner Negative Aesthetic Store
+       * Refiner Negative Aesthetic Store 
        * @description The aesthetic score used for the refiner
        */
       refiner_negative_aesthetic_store?: number;
       /**
-       * Refiner Start
+       * Refiner Start 
        * @description The start value used for refiner denoising
        */
       refiner_start?: number;
     };
     /**
-     * MetadataAccumulatorOutput
+     * MetadataAccumulatorOutput 
      * @description The output of the MetadataAccumulator node
      */
     MetadataAccumulatorOutput: {
       /**
-       * Type
-       * @default metadata_accumulator_output
+       * Type 
+       * @default metadata_accumulator_output 
        * @enum {string}
        */
-      type?: 'metadata_accumulator_output';
+      type?: "metadata_accumulator_output";
       /**
-       * Metadata
+       * Metadata 
        * @description The core metadata for the image
        */
-      metadata: components['schemas']['CoreMetadata'];
+      metadata: components["schemas"]["CoreMetadata"];
     };
     /**
-     * Midas (Depth) Processor
+     * Midas (Depth) Processor 
      * @description Applies Midas depth processing to image
      */
     MidasDepthImageProcessorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default midas_depth_image_processor
+       * Type 
+       * @default midas_depth_image_processor 
        * @enum {string}
        */
-      type: 'midas_depth_image_processor';
+      type: "midas_depth_image_processor";
       /**
-       * Image
+       * Image 
        * @description The image to process
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * A Mult
-       * @description Midas parameter `a_mult` (a = a_mult * PI)
+       * A Mult 
+       * @description Midas parameter `a_mult` (a = a_mult * PI) 
        * @default 2
        */
       a_mult?: number;
       /**
-       * Bg Th
-       * @description Midas parameter `bg_th`
+       * Bg Th 
+       * @description Midas parameter `bg_th` 
        * @default 0.1
        */
       bg_th?: number;
     };
     /**
-     * MLSD Processor
+     * MLSD Processor 
      * @description Applies MLSD processing to image
      */
     MlsdImageProcessorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default mlsd_image_processor
+       * Type 
+       * @default mlsd_image_processor 
        * @enum {string}
        */
-      type: 'mlsd_image_processor';
+      type: "mlsd_image_processor";
       /**
-       * Image
+       * Image 
        * @description The image to process
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Detect Resolution
-       * @description Pixel resolution for detection
+       * Detect Resolution 
+       * @description Pixel resolution for detection 
        * @default 512
        */
       detect_resolution?: number;
       /**
-       * Image Resolution
-       * @description Pixel resolution for output image
+       * Image Resolution 
+       * @description Pixel resolution for output image 
        * @default 512
        */
       image_resolution?: number;
       /**
-       * Thr V
-       * @description MLSD parameter `thr_v`
+       * Thr V 
+       * @description MLSD parameter `thr_v` 
        * @default 0.1
        */
       thr_v?: number;
       /**
-       * Thr D
-       * @description MLSD parameter `thr_d`
+       * Thr D 
+       * @description MLSD parameter `thr_d` 
        * @default 0.1
        */
       thr_d?: number;
     };
     /**
-     * ModelError
-     * @description An enumeration.
+     * ModelError 
+     * @description An enumeration. 
      * @enum {string}
      */
-    ModelError: 'not_found';
+    ModelError: "not_found";
     /** ModelInfo */
     ModelInfo: {
       /**
-       * Model Name
+       * Model Name 
        * @description Info to load submodel
        */
       model_name: string;
       /** @description Base model */
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
       /** @description Info to load submodel */
-      model_type: components['schemas']['ModelType'];
+      model_type: components["schemas"]["ModelType"];
       /** @description Info to load submodel */
-      submodel?: components['schemas']['SubModelType'];
+      submodel?: components["schemas"]["SubModelType"];
     };
     /**
-     * ModelLoaderOutput
+     * ModelLoaderOutput 
      * @description Model loader output
      */
     ModelLoaderOutput: {
       /**
-       * Type
-       * @default model_loader_output
+       * Type 
+       * @default model_loader_output 
        * @enum {string}
        */
-      type?: 'model_loader_output';
+      type?: "model_loader_output";
       /**
-       * UNet
+       * UNet 
        * @description UNet (scheduler, LoRAs)
        */
-      unet: components['schemas']['UNetField'];
+      unet: components["schemas"]["UNetField"];
       /**
-       * CLIP
+       * CLIP 
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip: components['schemas']['ClipField'];
+      clip: components["schemas"]["ClipField"];
       /**
-       * VAE
+       * VAE 
        * @description VAE
        */
-      vae: components['schemas']['VaeField'];
+      vae: components["schemas"]["VaeField"];
     };
     /**
-     * ModelType
-     * @description An enumeration.
+     * ModelType 
+     * @description An enumeration. 
      * @enum {string}
      */
-    ModelType: 'onnx' | 'main' | 'vae' | 'lora' | 'controlnet' | 'embedding';
+    ModelType: "onnx" | "main" | "vae" | "lora" | "controlnet" | "embedding";
     /**
-     * ModelVariantType
-     * @description An enumeration.
+     * ModelVariantType 
+     * @description An enumeration. 
      * @enum {string}
      */
-    ModelVariantType: 'normal' | 'inpaint' | 'depth';
+    ModelVariantType: "normal" | "inpaint" | "depth";
     /** ModelsList */
     ModelsList: {
       /** Models */
-      models: (
-        | components['schemas']['ONNXStableDiffusion1ModelConfig']
-        | components['schemas']['StableDiffusion1ModelCheckpointConfig']
-        | components['schemas']['StableDiffusion1ModelDiffusersConfig']
-        | components['schemas']['VaeModelConfig']
-        | components['schemas']['LoRAModelConfig']
-        | components['schemas']['ControlNetModelCheckpointConfig']
-        | components['schemas']['ControlNetModelDiffusersConfig']
-        | components['schemas']['TextualInversionModelConfig']
-        | components['schemas']['ONNXStableDiffusion2ModelConfig']
-        | components['schemas']['StableDiffusion2ModelCheckpointConfig']
-        | components['schemas']['StableDiffusion2ModelDiffusersConfig']
-        | components['schemas']['StableDiffusionXLModelCheckpointConfig']
-        | components['schemas']['StableDiffusionXLModelDiffusersConfig']
-      )[];
+      models: (components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[];
     };
     /**
-     * Multiply Integers
+     * Multiply Integers 
      * @description Multiplies two numbers
      */
     MultiplyInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default mul
+       * Type 
+       * @default mul 
        * @enum {string}
        */
-      type: 'mul';
+      type: "mul";
       /**
-       * A
-       * @description The first number
+       * A 
+       * @description The first number 
        * @default 0
        */
       a?: number;
       /**
-       * B
-       * @description The second number
+       * B 
+       * @description The second number 
        * @default 0
        */
       b?: number;
     };
     /**
-     * Noise
+     * Noise 
      * @description Generates latent noise.
      */
     NoiseInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default noise
+       * Type 
+       * @default noise 
        * @enum {string}
        */
-      type: 'noise';
+      type: "noise";
       /**
-       * Seed
+       * Seed 
        * @description Seed for random number generation
        */
       seed?: number;
       /**
-       * Width
-       * @description Width of output (px)
+       * Width 
+       * @description Width of output (px) 
        * @default 512
        */
       width?: number;
       /**
-       * Height
-       * @description Height of output (px)
+       * Height 
+       * @description Height of output (px) 
        * @default 512
        */
       height?: number;
       /**
-       * Use Cpu
-       * @description Use CPU for noise generation (for reproducible results across platforms)
+       * Use Cpu 
+       * @description Use CPU for noise generation (for reproducible results across platforms) 
        * @default true
        */
       use_cpu?: boolean;
     };
     /**
-     * NoiseOutput
+     * NoiseOutput 
      * @description Invocation noise output
      */
     NoiseOutput: {
       /**
-       * Type
-       * @default noise_output
+       * Type 
+       * @default noise_output 
        * @enum {string}
        */
-      type?: 'noise_output';
+      type?: "noise_output";
       /**
-       * Noise
+       * Noise 
        * @description Noise tensor
        */
-      noise?: components['schemas']['LatentsField'];
+      noise?: components["schemas"]["LatentsField"];
       /**
-       * Width
+       * Width 
        * @description Width of output (px)
        */
       width: number;
       /**
-       * Height
+       * Height 
        * @description Height of output (px)
        */
       height: number;
     };
     /**
-     * Normal BAE Processor
+     * Normal BAE Processor 
      * @description Applies NormalBae processing to image
      */
     NormalbaeImageProcessorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default normalbae_image_processor
+       * Type 
+       * @default normalbae_image_processor 
        * @enum {string}
        */
-      type: 'normalbae_image_processor';
+      type: "normalbae_image_processor";
       /**
-       * Image
+       * Image 
        * @description The image to process
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Detect Resolution
-       * @description Pixel resolution for detection
+       * Detect Resolution 
+       * @description Pixel resolution for detection 
        * @default 512
        */
       detect_resolution?: number;
       /**
-       * Image Resolution
-       * @description Pixel resolution for output image
+       * Image Resolution 
+       * @description Pixel resolution for output image 
        * @default 512
        */
       image_resolution?: number;
     };
     /**
-     * ONNX Latents to Image
+     * ONNX Latents to Image 
      * @description Generates an image from latents.
      */
     ONNXLatentsToImageInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default l2i_onnx
+       * Type 
+       * @default l2i_onnx 
        * @enum {string}
        */
-      type: 'l2i_onnx';
+      type: "l2i_onnx";
       /**
-       * Latents
+       * Latents 
        * @description Denoised latents tensor
        */
-      latents?: components['schemas']['LatentsField'];
+      latents?: components["schemas"]["LatentsField"];
       /**
-       * Vae
+       * Vae 
        * @description VAE
        */
-      vae?: components['schemas']['VaeField'];
+      vae?: components["schemas"]["VaeField"];
       /**
-       * Metadata
+       * Metadata 
        * @description Optional core metadata to be written to image
        */
-      metadata?: components['schemas']['CoreMetadata'];
+      metadata?: components["schemas"]["CoreMetadata"];
     };
     /**
-     * ONNXModelLoaderOutput
+     * ONNXModelLoaderOutput 
      * @description Model loader output
      */
     ONNXModelLoaderOutput: {
       /**
-       * Type
-       * @default model_loader_output_onnx
+       * Type 
+       * @default model_loader_output_onnx 
        * @enum {string}
        */
-      type?: 'model_loader_output_onnx';
+      type?: "model_loader_output_onnx";
       /**
-       * UNet
+       * UNet 
        * @description UNet (scheduler, LoRAs)
        */
-      unet?: components['schemas']['UNetField'];
+      unet?: components["schemas"]["UNetField"];
       /**
-       * CLIP
+       * CLIP 
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components['schemas']['ClipField'];
+      clip?: components["schemas"]["ClipField"];
       /**
-       * VAE Decoder
+       * VAE Decoder 
        * @description VAE
        */
-      vae_decoder?: components['schemas']['VaeField'];
+      vae_decoder?: components["schemas"]["VaeField"];
       /**
-       * VAE Encoder
+       * VAE Encoder 
        * @description VAE
        */
-      vae_encoder?: components['schemas']['VaeField'];
+      vae_encoder?: components["schemas"]["VaeField"];
     };
     /**
-     * ONNX Prompt (Raw)
+     * ONNX Prompt (Raw) 
      * @description A node to process inputs and produce outputs.
      * May use dependency injection in __init__ to receive providers.
      */
     ONNXPromptInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default prompt_onnx
+       * Type 
+       * @default prompt_onnx 
        * @enum {string}
        */
-      type: 'prompt_onnx';
+      type: "prompt_onnx";
       /**
-       * Prompt
-       * @description Raw prompt text (no parsing)
+       * Prompt 
+       * @description Raw prompt text (no parsing) 
        * @default
        */
       prompt?: string;
       /**
-       * Clip
+       * Clip 
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components['schemas']['ClipField'];
+      clip?: components["schemas"]["ClipField"];
     };
     /** ONNXStableDiffusion1ModelConfig */
     ONNXStableDiffusion1ModelConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
       /**
-       * Model Type
+       * Model Type 
        * @enum {string}
        */
-      model_type: 'onnx';
+      model_type: "onnx";
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format
+       * Model Format 
        * @enum {string}
        */
-      model_format: 'onnx';
-      error?: components['schemas']['ModelError'];
-      variant: components['schemas']['ModelVariantType'];
+      model_format: "onnx";
+      error?: components["schemas"]["ModelError"];
+      variant: components["schemas"]["ModelVariantType"];
     };
     /** ONNXStableDiffusion2ModelConfig */
     ONNXStableDiffusion2ModelConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
       /**
-       * Model Type
+       * Model Type 
        * @enum {string}
        */
-      model_type: 'onnx';
+      model_type: "onnx";
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format
+       * Model Format 
        * @enum {string}
        */
-      model_format: 'onnx';
-      error?: components['schemas']['ModelError'];
-      variant: components['schemas']['ModelVariantType'];
-      prediction_type: components['schemas']['SchedulerPredictionType'];
+      model_format: "onnx";
+      error?: components["schemas"]["ModelError"];
+      variant: components["schemas"]["ModelVariantType"];
+      prediction_type: components["schemas"]["SchedulerPredictionType"];
       /** Upcast Attention */
       upcast_attention: boolean;
     };
     /**
-     * ONNX Text to Latents
+     * ONNX Text to Latents 
      * @description Generates latents from conditionings.
      */
     ONNXTextToLatentsInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default t2l_onnx
+       * Type 
+       * @default t2l_onnx 
        * @enum {string}
        */
-      type: 't2l_onnx';
+      type: "t2l_onnx";
       /**
-       * Positive Conditioning
+       * Positive Conditioning 
        * @description Positive conditioning tensor
        */
-      positive_conditioning?: components['schemas']['ConditioningField'];
+      positive_conditioning?: components["schemas"]["ConditioningField"];
       /**
-       * Negative Conditioning
+       * Negative Conditioning 
        * @description Negative conditioning tensor
        */
-      negative_conditioning?: components['schemas']['ConditioningField'];
+      negative_conditioning?: components["schemas"]["ConditioningField"];
       /**
-       * Noise
+       * Noise 
        * @description Noise tensor
        */
-      noise?: components['schemas']['LatentsField'];
+      noise?: components["schemas"]["LatentsField"];
       /**
-       * Steps
-       * @description Number of steps to run
+       * Steps 
+       * @description Number of steps to run 
        * @default 10
        */
       steps?: number;
       /**
-       * Cfg Scale
-       * @description Classifier-Free Guidance scale
+       * Cfg Scale 
+       * @description Classifier-Free Guidance scale 
        * @default 7.5
        */
-      cfg_scale?: number | number[];
+      cfg_scale?: number | (number)[];
       /**
-       * Scheduler
-       * @description Scheduler to use during inference
-       * @default euler
+       * Scheduler 
+       * @description Scheduler to use during inference 
+       * @default euler 
        * @enum {string}
        */
-      scheduler?:
-        | 'ddim'
-        | 'ddpm'
-        | 'deis'
-        | 'lms'
-        | 'lms_k'
-        | 'pndm'
-        | 'heun'
-        | 'heun_k'
-        | 'euler'
-        | 'euler_k'
-        | 'euler_a'
-        | 'kdpm_2'
-        | 'kdpm_2_a'
-        | 'dpmpp_2s'
-        | 'dpmpp_2s_k'
-        | 'dpmpp_2m'
-        | 'dpmpp_2m_k'
-        | 'dpmpp_2m_sde'
-        | 'dpmpp_2m_sde_k'
-        | 'dpmpp_sde'
-        | 'dpmpp_sde_k'
-        | 'unipc';
+      scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
       /**
-       * Precision
-       * @description Precision to use
-       * @default tensor(float16)
+       * Precision 
+       * @description Precision to use 
+       * @default tensor(float16) 
        * @enum {string}
        */
-      precision?:
-        | 'tensor(bool)'
-        | 'tensor(int8)'
-        | 'tensor(uint8)'
-        | 'tensor(int16)'
-        | 'tensor(uint16)'
-        | 'tensor(int32)'
-        | 'tensor(uint32)'
-        | 'tensor(int64)'
-        | 'tensor(uint64)'
-        | 'tensor(float16)'
-        | 'tensor(float)'
-        | 'tensor(double)';
+      precision?: "tensor(bool)" | "tensor(int8)" | "tensor(uint8)" | "tensor(int16)" | "tensor(uint16)" | "tensor(int32)" | "tensor(uint32)" | "tensor(int64)" | "tensor(uint64)" | "tensor(float16)" | "tensor(float)" | "tensor(double)";
       /**
-       * Unet
+       * Unet 
        * @description UNet (scheduler, LoRAs)
        */
-      unet?: components['schemas']['UNetField'];
+      unet?: components["schemas"]["UNetField"];
       /**
-       * Control
+       * Control 
        * @description ControlNet(s) to apply
        */
-      control?:
-        | components['schemas']['ControlField']
-        | components['schemas']['ControlField'][];
+      control?: components["schemas"]["ControlField"] | (components["schemas"]["ControlField"])[];
     };
     /**
-     * OffsetPaginatedResults[BoardDTO]
+     * OffsetPaginatedResults[BoardDTO] 
      * @description Offset-paginated results
      */
     OffsetPaginatedResults_BoardDTO_: {
       /**
-       * Items
+       * Items 
        * @description Items
        */
-      items: components['schemas']['BoardDTO'][];
+      items: (components["schemas"]["BoardDTO"])[];
       /**
-       * Offset
+       * Offset 
        * @description Offset from which to retrieve items
        */
       offset: number;
       /**
-       * Limit
+       * Limit 
        * @description Limit of items to get
        */
       limit: number;
       /**
-       * Total
+       * Total 
        * @description Total number of items in result
        */
       total: number;
     };
     /**
-     * OffsetPaginatedResults[ImageDTO]
+     * OffsetPaginatedResults[ImageDTO] 
      * @description Offset-paginated results
      */
     OffsetPaginatedResults_ImageDTO_: {
       /**
-       * Items
+       * Items 
        * @description Items
        */
-      items: components['schemas']['ImageDTO'][];
+      items: (components["schemas"]["ImageDTO"])[];
       /**
-       * Offset
+       * Offset 
        * @description Offset from which to retrieve items
        */
       offset: number;
       /**
-       * Limit
+       * Limit 
        * @description Limit of items to get
        */
       limit: number;
       /**
-       * Total
+       * Total 
        * @description Total number of items in result
        */
       total: number;
     };
     /**
-     * OnnxModelField
+     * OnnxModelField 
      * @description Onnx model field
      */
     OnnxModelField: {
       /**
-       * Model Name
+       * Model Name 
        * @description Name of the model
        */
       model_name: string;
       /** @description Base model */
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
       /** @description Model Type */
-      model_type: components['schemas']['ModelType'];
+      model_type: components["schemas"]["ModelType"];
     };
     /**
-     * ONNX Model Loader
+     * ONNX Model Loader 
      * @description Loads a main model, outputting its submodels.
      */
     OnnxModelLoaderInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default onnx_model_loader
+       * Type 
+       * @default onnx_model_loader 
        * @enum {string}
        */
-      type: 'onnx_model_loader';
+      type: "onnx_model_loader";
       /**
-       * Model
+       * Model 
        * @description ONNX Main model (UNet, VAE, CLIP) to load
        */
-      model: components['schemas']['OnnxModelField'];
+      model: components["schemas"]["OnnxModelField"];
     };
     /**
-     * Openpose Processor
+     * Openpose Processor 
      * @description Applies Openpose processing to image
      */
     OpenposeImageProcessorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default openpose_image_processor
+       * Type 
+       * @default openpose_image_processor 
        * @enum {string}
        */
-      type: 'openpose_image_processor';
+      type: "openpose_image_processor";
       /**
-       * Image
+       * Image 
        * @description The image to process
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Hand And Face
-       * @description Whether to use hands and face mode
+       * Hand And Face 
+       * @description Whether to use hands and face mode 
        * @default false
        */
       hand_and_face?: boolean;
       /**
-       * Detect Resolution
-       * @description Pixel resolution for detection
+       * Detect Resolution 
+       * @description Pixel resolution for detection 
        * @default 512
        */
       detect_resolution?: number;
       /**
-       * Image Resolution
-       * @description Pixel resolution for output image
+       * Image Resolution 
+       * @description Pixel resolution for output image 
        * @default 512
        */
       image_resolution?: number;
     };
     /**
-     * PaginatedResults[GraphExecutionState]
+     * PaginatedResults[GraphExecutionState] 
      * @description Paginated results
      */
     PaginatedResults_GraphExecutionState_: {
       /**
-       * Items
+       * Items 
        * @description Items
        */
-      items: components['schemas']['GraphExecutionState'][];
+      items: (components["schemas"]["GraphExecutionState"])[];
       /**
-       * Page
+       * Page 
        * @description Current Page
        */
       page: number;
       /**
-       * Pages
+       * Pages 
        * @description Total number of pages
        */
       pages: number;
       /**
-       * Per Page
+       * Per Page 
        * @description Number of items per page
        */
       per_page: number;
       /**
-       * Total
+       * Total 
        * @description Total number of items in result
        */
       total: number;
     };
     /**
-     * PIDI Processor
+     * PIDI Processor 
      * @description Applies PIDI processing to image
      */
     PidiImageProcessorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default pidi_image_processor
+       * Type 
+       * @default pidi_image_processor 
        * @enum {string}
        */
-      type: 'pidi_image_processor';
+      type: "pidi_image_processor";
       /**
-       * Image
+       * Image 
        * @description The image to process
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Detect Resolution
-       * @description Pixel resolution for detection
+       * Detect Resolution 
+       * @description Pixel resolution for detection 
        * @default 512
        */
       detect_resolution?: number;
       /**
-       * Image Resolution
-       * @description Pixel resolution for output image
+       * Image Resolution 
+       * @description Pixel resolution for output image 
        * @default 512
        */
       image_resolution?: number;
       /**
-       * Safe
-       * @description Whether or not to use safe mode
+       * Safe 
+       * @description Whether or not to use safe mode 
        * @default false
        */
       safe?: boolean;
       /**
-       * Scribble
-       * @description Whether or not to use scribble mode
+       * Scribble 
+       * @description Whether or not to use scribble mode 
        * @default false
        */
       scribble?: boolean;
     };
     /**
-     * Prompts from File
+     * Prompts from File 
      * @description Loads prompts from a text file
      */
     PromptsFromFileInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default prompt_from_file
+       * Type 
+       * @default prompt_from_file 
        * @enum {string}
        */
-      type: 'prompt_from_file';
+      type: "prompt_from_file";
       /**
-       * File Path
+       * File Path 
        * @description Path to prompt text file
        */
       file_path?: string;
       /**
-       * Pre Prompt
+       * Pre Prompt 
        * @description String to prepend to each prompt
        */
       pre_prompt?: string;
       /**
-       * Post Prompt
+       * Post Prompt 
        * @description String to append to each prompt
        */
       post_prompt?: string;
       /**
-       * Start Line
-       * @description Line in the file to start start from
+       * Start Line 
+       * @description Line in the file to start start from 
        * @default 1
        */
       start_line?: number;
       /**
-       * Max Prompts
-       * @description Max lines to read from file (0=all)
+       * Max Prompts 
+       * @description Max lines to read from file (0=all) 
        * @default 1
        */
       max_prompts?: number;
     };
     /**
-     * Random Integer
+     * Random Integer 
      * @description Outputs a single random integer.
      */
     RandomIntInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default rand_int
+       * Type 
+       * @default rand_int 
        * @enum {string}
        */
-      type: 'rand_int';
+      type: "rand_int";
       /**
-       * Low
-       * @description The inclusive low value
+       * Low 
+       * @description The inclusive low value 
        * @default 0
        */
       low?: number;
       /**
-       * High
-       * @description The exclusive high value
+       * High 
+       * @description The exclusive high value 
        * @default 2147483647
        */
       high?: number;
     };
     /**
-     * Random Range
+     * Random Range 
      * @description Creates a collection of random numbers
      */
     RandomRangeInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default random_range
+       * Type 
+       * @default random_range 
        * @enum {string}
        */
-      type: 'random_range';
+      type: "random_range";
       /**
-       * Low
-       * @description The inclusive low value
+       * Low 
+       * @description The inclusive low value 
        * @default 0
        */
       low?: number;
       /**
-       * High
-       * @description The exclusive high value
+       * High 
+       * @description The exclusive high value 
        * @default 2147483647
        */
       high?: number;
       /**
-       * Size
-       * @description The number of values to generate
+       * Size 
+       * @description The number of values to generate 
        * @default 1
        */
       size?: number;
       /**
-       * Seed
+       * Seed 
        * @description The seed for the RNG (omit for random)
        */
       seed?: number;
     };
     /**
-     * Integer Range
+     * Integer Range 
      * @description Creates a range of numbers from start to stop with step
      */
     RangeInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default range
+       * Type 
+       * @default range 
        * @enum {string}
        */
-      type: 'range';
+      type: "range";
       /**
-       * Start
-       * @description The start of the range
+       * Start 
+       * @description The start of the range 
        * @default 0
        */
       start?: number;
       /**
-       * Stop
-       * @description The stop of the range
+       * Stop 
+       * @description The stop of the range 
        * @default 10
        */
       stop?: number;
       /**
-       * Step
-       * @description The step of the range
+       * Step 
+       * @description The step of the range 
        * @default 1
        */
       step?: number;
     };
     /**
-     * Integer Range of Size
+     * Integer Range of Size 
      * @description Creates a range from start to start + size with step
      */
     RangeOfSizeInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default range_of_size
+       * Type 
+       * @default range_of_size 
        * @enum {string}
        */
-      type: 'range_of_size';
+      type: "range_of_size";
       /**
-       * Start
-       * @description The start of the range
+       * Start 
+       * @description The start of the range 
        * @default 0
        */
       start?: number;
       /**
-       * Size
-       * @description The number of values
+       * Size 
+       * @description The number of values 
        * @default 1
        */
       size?: number;
       /**
-       * Step
-       * @description The step of the range
+       * Step 
+       * @description The step of the range 
        * @default 1
        */
       step?: number;
@@ -5280,922 +5053,867 @@ export type components = {
     /** RemoveImagesFromBoardResult */
     RemoveImagesFromBoardResult: {
       /**
-       * Removed Image Names
+       * Removed Image Names 
        * @description The image names that were removed from their board
        */
-      removed_image_names: string[];
+      removed_image_names: (string)[];
     };
     /**
-     * Resize Latents
+     * Resize Latents 
      * @description Resizes latents to explicit width/height (in pixels). Provided dimensions are floor-divided by 8.
      */
     ResizeLatentsInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default lresize
+       * Type 
+       * @default lresize 
        * @enum {string}
        */
-      type: 'lresize';
+      type: "lresize";
       /**
-       * Latents
+       * Latents 
        * @description Latents tensor
        */
-      latents?: components['schemas']['LatentsField'];
+      latents?: components["schemas"]["LatentsField"];
       /**
-       * Width
+       * Width 
        * @description Width of output (px)
        */
       width?: number;
       /**
-       * Height
+       * Height 
        * @description Width of output (px)
        */
       height?: number;
       /**
-       * Mode
-       * @description Interpolation mode
-       * @default bilinear
+       * Mode 
+       * @description Interpolation mode 
+       * @default bilinear 
        * @enum {string}
        */
-      mode?:
-        | 'nearest'
-        | 'linear'
-        | 'bilinear'
-        | 'bicubic'
-        | 'trilinear'
-        | 'area'
-        | 'nearest-exact';
+      mode?: "nearest" | "linear" | "bilinear" | "bicubic" | "trilinear" | "area" | "nearest-exact";
       /**
-       * Antialias
-       * @description Whether or not to apply antialiasing (bilinear or bicubic only)
+       * Antialias 
+       * @description Whether or not to apply antialiasing (bilinear or bicubic only) 
        * @default false
        */
       antialias?: boolean;
     };
     /**
-     * ResourceOrigin
+     * ResourceOrigin 
      * @description The origin of a resource (eg image).
-     *
+     * 
      * - INTERNAL: The resource was created by the application.
      * - EXTERNAL: The resource was not created by the application.
-     * This may be a user-initiated upload, or an internal application upload (eg Canvas init image).
+     * This may be a user-initiated upload, or an internal application upload (eg Canvas init image). 
      * @enum {string}
      */
-    ResourceOrigin: 'internal' | 'external';
+    ResourceOrigin: "internal" | "external";
     /**
-     * SDXL Compel Prompt
+     * SDXL Compel Prompt 
      * @description Parse prompt using compel package to conditioning.
      */
     SDXLCompelPromptInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default sdxl_compel_prompt
+       * Type 
+       * @default sdxl_compel_prompt 
        * @enum {string}
        */
-      type: 'sdxl_compel_prompt';
+      type: "sdxl_compel_prompt";
       /**
-       * Prompt
-       * @description Prompt to be parsed by Compel to create a conditioning tensor
+       * Prompt 
+       * @description Prompt to be parsed by Compel to create a conditioning tensor 
        * @default
        */
       prompt?: string;
       /**
-       * Style
-       * @description Prompt to be parsed by Compel to create a conditioning tensor
+       * Style 
+       * @description Prompt to be parsed by Compel to create a conditioning tensor 
        * @default
        */
       style?: string;
       /**
-       * Original Width
+       * Original Width 
        * @default 1024
        */
       original_width?: number;
       /**
-       * Original Height
+       * Original Height 
        * @default 1024
        */
       original_height?: number;
       /**
-       * Crop Top
+       * Crop Top 
        * @default 0
        */
       crop_top?: number;
       /**
-       * Crop Left
+       * Crop Left 
        * @default 0
        */
       crop_left?: number;
       /**
-       * Target Width
+       * Target Width 
        * @default 1024
        */
       target_width?: number;
       /**
-       * Target Height
+       * Target Height 
        * @default 1024
        */
       target_height?: number;
       /**
-       * Clip
+       * Clip 
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components['schemas']['ClipField'];
+      clip?: components["schemas"]["ClipField"];
       /**
-       * Clip2
+       * Clip2 
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip2?: components['schemas']['ClipField'];
+      clip2?: components["schemas"]["ClipField"];
     };
     /**
-     * SDXL LoRA Loader
+     * SDXL LoRA Loader 
      * @description Apply selected lora to unet and text_encoder.
      */
     SDXLLoraLoaderInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default sdxl_lora_loader
+       * Type 
+       * @default sdxl_lora_loader 
        * @enum {string}
        */
-      type: 'sdxl_lora_loader';
+      type: "sdxl_lora_loader";
       /**
-       * LoRA
+       * LoRA 
        * @description LoRA model to load
        */
-      lora: components['schemas']['LoRAModelField'];
+      lora: components["schemas"]["LoRAModelField"];
       /**
-       * Weight
-       * @description The weight at which the LoRA is applied to each model
+       * Weight 
+       * @description The weight at which the LoRA is applied to each model 
        * @default 0.75
        */
       weight?: number;
       /**
-       * UNET
+       * UNET 
        * @description UNet (scheduler, LoRAs)
        */
-      unet?: components['schemas']['UNetField'];
+      unet?: components["schemas"]["UNetField"];
       /**
-       * CLIP 1
+       * CLIP 1 
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components['schemas']['ClipField'];
+      clip?: components["schemas"]["ClipField"];
       /**
-       * CLIP 2
+       * CLIP 2 
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip2?: components['schemas']['ClipField'];
+      clip2?: components["schemas"]["ClipField"];
     };
     /**
-     * SDXLLoraLoaderOutput
+     * SDXLLoraLoaderOutput 
      * @description SDXL LoRA Loader Output
      */
     SDXLLoraLoaderOutput: {
       /**
-       * Type
-       * @default sdxl_lora_loader_output
+       * Type 
+       * @default sdxl_lora_loader_output 
        * @enum {string}
        */
-      type?: 'sdxl_lora_loader_output';
+      type?: "sdxl_lora_loader_output";
       /**
-       * UNet
+       * UNet 
        * @description UNet (scheduler, LoRAs)
        */
-      unet?: components['schemas']['UNetField'];
+      unet?: components["schemas"]["UNetField"];
       /**
-       * CLIP 1
+       * CLIP 1 
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip?: components['schemas']['ClipField'];
+      clip?: components["schemas"]["ClipField"];
       /**
-       * CLIP 2
+       * CLIP 2 
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip2?: components['schemas']['ClipField'];
+      clip2?: components["schemas"]["ClipField"];
     };
     /**
-     * SDXL Main Model Loader
+     * SDXL Main Model Loader 
      * @description Loads an sdxl base model, outputting its submodels.
      */
     SDXLModelLoaderInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default sdxl_model_loader
+       * Type 
+       * @default sdxl_model_loader 
        * @enum {string}
        */
-      type: 'sdxl_model_loader';
+      type: "sdxl_model_loader";
       /**
-       * Model
+       * Model 
        * @description SDXL Main model (UNet, VAE, CLIP1, CLIP2) to load
        */
-      model: components['schemas']['MainModelField'];
+      model: components["schemas"]["MainModelField"];
     };
     /**
-     * SDXLModelLoaderOutput
+     * SDXLModelLoaderOutput 
      * @description SDXL base model loader output
      */
     SDXLModelLoaderOutput: {
       /**
-       * Type
-       * @default sdxl_model_loader_output
+       * Type 
+       * @default sdxl_model_loader_output 
        * @enum {string}
        */
-      type?: 'sdxl_model_loader_output';
+      type?: "sdxl_model_loader_output";
       /**
-       * UNet
+       * UNet 
        * @description UNet (scheduler, LoRAs)
        */
-      unet: components['schemas']['UNetField'];
+      unet: components["schemas"]["UNetField"];
       /**
-       * CLIP 1
+       * CLIP 1 
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip: components['schemas']['ClipField'];
+      clip: components["schemas"]["ClipField"];
       /**
-       * CLIP 2
+       * CLIP 2 
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip2: components['schemas']['ClipField'];
+      clip2: components["schemas"]["ClipField"];
       /**
-       * VAE
+       * VAE 
        * @description VAE
        */
-      vae: components['schemas']['VaeField'];
+      vae: components["schemas"]["VaeField"];
     };
     /**
-     * SDXL Refiner Compel Prompt
+     * SDXL Refiner Compel Prompt 
      * @description Parse prompt using compel package to conditioning.
      */
     SDXLRefinerCompelPromptInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default sdxl_refiner_compel_prompt
+       * Type 
+       * @default sdxl_refiner_compel_prompt 
        * @enum {string}
        */
-      type: 'sdxl_refiner_compel_prompt';
+      type: "sdxl_refiner_compel_prompt";
       /**
-       * Style
-       * @description Prompt to be parsed by Compel to create a conditioning tensor
+       * Style 
+       * @description Prompt to be parsed by Compel to create a conditioning tensor 
        * @default
        */
       style?: string;
       /**
-       * Original Width
+       * Original Width 
        * @default 1024
        */
       original_width?: number;
       /**
-       * Original Height
+       * Original Height 
        * @default 1024
        */
       original_height?: number;
       /**
-       * Crop Top
+       * Crop Top 
        * @default 0
        */
       crop_top?: number;
       /**
-       * Crop Left
+       * Crop Left 
        * @default 0
        */
       crop_left?: number;
       /**
-       * Aesthetic Score
-       * @description The aesthetic score to apply to the conditioning tensor
+       * Aesthetic Score 
+       * @description The aesthetic score to apply to the conditioning tensor 
        * @default 6
        */
       aesthetic_score?: number;
       /**
-       * Clip2
+       * Clip2 
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip2?: components['schemas']['ClipField'];
+      clip2?: components["schemas"]["ClipField"];
     };
     /**
-     * SDXL Refiner Model Loader
+     * SDXL Refiner Model Loader 
      * @description Loads an sdxl refiner model, outputting its submodels.
      */
     SDXLRefinerModelLoaderInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default sdxl_refiner_model_loader
+       * Type 
+       * @default sdxl_refiner_model_loader 
        * @enum {string}
        */
-      type: 'sdxl_refiner_model_loader';
+      type: "sdxl_refiner_model_loader";
       /**
-       * Model
+       * Model 
        * @description SDXL Refiner Main Modde (UNet, VAE, CLIP2) to load
        */
-      model: components['schemas']['MainModelField'];
+      model: components["schemas"]["MainModelField"];
     };
     /**
-     * SDXLRefinerModelLoaderOutput
+     * SDXLRefinerModelLoaderOutput 
      * @description SDXL refiner model loader output
      */
     SDXLRefinerModelLoaderOutput: {
       /**
-       * Type
-       * @default sdxl_refiner_model_loader_output
+       * Type 
+       * @default sdxl_refiner_model_loader_output 
        * @enum {string}
        */
-      type?: 'sdxl_refiner_model_loader_output';
+      type?: "sdxl_refiner_model_loader_output";
       /**
-       * UNet
+       * UNet 
        * @description UNet (scheduler, LoRAs)
        */
-      unet: components['schemas']['UNetField'];
+      unet: components["schemas"]["UNetField"];
       /**
-       * CLIP 2
+       * CLIP 2 
        * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
        */
-      clip2: components['schemas']['ClipField'];
+      clip2: components["schemas"]["ClipField"];
       /**
-       * VAE
+       * VAE 
        * @description VAE
        */
-      vae: components['schemas']['VaeField'];
+      vae: components["schemas"]["VaeField"];
     };
     /**
-     * Scale Latents
+     * Scale Latents 
      * @description Scales latents by a given factor.
      */
     ScaleLatentsInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default lscale
+       * Type 
+       * @default lscale 
        * @enum {string}
        */
-      type: 'lscale';
+      type: "lscale";
       /**
-       * Latents
+       * Latents 
        * @description Latents tensor
        */
-      latents?: components['schemas']['LatentsField'];
+      latents?: components["schemas"]["LatentsField"];
       /**
-       * Scale Factor
+       * Scale Factor 
        * @description The factor by which to scale
        */
       scale_factor?: number;
       /**
-       * Mode
-       * @description Interpolation mode
-       * @default bilinear
+       * Mode 
+       * @description Interpolation mode 
+       * @default bilinear 
        * @enum {string}
        */
-      mode?:
-        | 'nearest'
-        | 'linear'
-        | 'bilinear'
-        | 'bicubic'
-        | 'trilinear'
-        | 'area'
-        | 'nearest-exact';
+      mode?: "nearest" | "linear" | "bilinear" | "bicubic" | "trilinear" | "area" | "nearest-exact";
       /**
-       * Antialias
-       * @description Whether or not to apply antialiasing (bilinear or bicubic only)
+       * Antialias 
+       * @description Whether or not to apply antialiasing (bilinear or bicubic only) 
        * @default false
        */
       antialias?: boolean;
     };
     /**
-     * SchedulerPredictionType
-     * @description An enumeration.
+     * SchedulerPredictionType 
+     * @description An enumeration. 
      * @enum {string}
      */
-    SchedulerPredictionType: 'epsilon' | 'v_prediction' | 'sample';
+    SchedulerPredictionType: "epsilon" | "v_prediction" | "sample";
     /**
-     * Segment Anything Processor
+     * Segment Anything Processor 
      * @description Applies segment anything processing to image
      */
     SegmentAnythingProcessorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default segment_anything_processor
+       * Type 
+       * @default segment_anything_processor 
        * @enum {string}
        */
-      type: 'segment_anything_processor';
+      type: "segment_anything_processor";
       /**
-       * Image
+       * Image 
        * @description The image to process
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
     };
     /**
-     * Show Image
+     * Show Image 
      * @description Displays a provided image, and passes it forward in the pipeline.
      */
     ShowImageInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default show_image
+       * Type 
+       * @default show_image 
        * @enum {string}
        */
-      type: 'show_image';
+      type: "show_image";
       /**
-       * Image
+       * Image 
        * @description The image to show
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
     };
     /** StableDiffusion1ModelCheckpointConfig */
     StableDiffusion1ModelCheckpointConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
       /**
-       * Model Type
+       * Model Type 
        * @enum {string}
        */
-      model_type: 'main';
+      model_type: "main";
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format
+       * Model Format 
        * @enum {string}
        */
-      model_format: 'checkpoint';
-      error?: components['schemas']['ModelError'];
+      model_format: "checkpoint";
+      error?: components["schemas"]["ModelError"];
       /** Vae */
       vae?: string;
       /** Config */
       config: string;
-      variant: components['schemas']['ModelVariantType'];
+      variant: components["schemas"]["ModelVariantType"];
     };
     /** StableDiffusion1ModelDiffusersConfig */
     StableDiffusion1ModelDiffusersConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
       /**
-       * Model Type
+       * Model Type 
        * @enum {string}
        */
-      model_type: 'main';
+      model_type: "main";
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format
+       * Model Format 
        * @enum {string}
        */
-      model_format: 'diffusers';
-      error?: components['schemas']['ModelError'];
+      model_format: "diffusers";
+      error?: components["schemas"]["ModelError"];
       /** Vae */
       vae?: string;
-      variant: components['schemas']['ModelVariantType'];
+      variant: components["schemas"]["ModelVariantType"];
     };
     /** StableDiffusion2ModelCheckpointConfig */
     StableDiffusion2ModelCheckpointConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
       /**
-       * Model Type
+       * Model Type 
        * @enum {string}
        */
-      model_type: 'main';
+      model_type: "main";
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format
+       * Model Format 
        * @enum {string}
        */
-      model_format: 'checkpoint';
-      error?: components['schemas']['ModelError'];
+      model_format: "checkpoint";
+      error?: components["schemas"]["ModelError"];
       /** Vae */
       vae?: string;
       /** Config */
       config: string;
-      variant: components['schemas']['ModelVariantType'];
+      variant: components["schemas"]["ModelVariantType"];
     };
     /** StableDiffusion2ModelDiffusersConfig */
     StableDiffusion2ModelDiffusersConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
       /**
-       * Model Type
+       * Model Type 
        * @enum {string}
        */
-      model_type: 'main';
+      model_type: "main";
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format
+       * Model Format 
        * @enum {string}
        */
-      model_format: 'diffusers';
-      error?: components['schemas']['ModelError'];
+      model_format: "diffusers";
+      error?: components["schemas"]["ModelError"];
       /** Vae */
       vae?: string;
-      variant: components['schemas']['ModelVariantType'];
+      variant: components["schemas"]["ModelVariantType"];
     };
     /** StableDiffusionXLModelCheckpointConfig */
     StableDiffusionXLModelCheckpointConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
       /**
-       * Model Type
+       * Model Type 
        * @enum {string}
        */
-      model_type: 'main';
+      model_type: "main";
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format
+       * Model Format 
        * @enum {string}
        */
-      model_format: 'checkpoint';
-      error?: components['schemas']['ModelError'];
+      model_format: "checkpoint";
+      error?: components["schemas"]["ModelError"];
       /** Vae */
       vae?: string;
       /** Config */
       config: string;
-      variant: components['schemas']['ModelVariantType'];
+      variant: components["schemas"]["ModelVariantType"];
     };
     /** StableDiffusionXLModelDiffusersConfig */
     StableDiffusionXLModelDiffusersConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
       /**
-       * Model Type
+       * Model Type 
        * @enum {string}
        */
-      model_type: 'main';
+      model_type: "main";
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /**
-       * Model Format
+       * Model Format 
        * @enum {string}
        */
-      model_format: 'diffusers';
-      error?: components['schemas']['ModelError'];
+      model_format: "diffusers";
+      error?: components["schemas"]["ModelError"];
       /** Vae */
       vae?: string;
-      variant: components['schemas']['ModelVariantType'];
+      variant: components["schemas"]["ModelVariantType"];
     };
     /**
-     * Step Param Easing
+     * Step Param Easing 
      * @description Experimental per-step parameter easing for denoising steps
      */
     StepParamEasingInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default step_param_easing
+       * Type 
+       * @default step_param_easing 
        * @enum {string}
        */
-      type: 'step_param_easing';
+      type: "step_param_easing";
       /**
-       * Easing
-       * @description The easing function to use
-       * @default Linear
+       * Easing 
+       * @description The easing function to use 
+       * @default Linear 
        * @enum {string}
        */
-      easing?:
-        | 'Linear'
-        | 'QuadIn'
-        | 'QuadOut'
-        | 'QuadInOut'
-        | 'CubicIn'
-        | 'CubicOut'
-        | 'CubicInOut'
-        | 'QuarticIn'
-        | 'QuarticOut'
-        | 'QuarticInOut'
-        | 'QuinticIn'
-        | 'QuinticOut'
-        | 'QuinticInOut'
-        | 'SineIn'
-        | 'SineOut'
-        | 'SineInOut'
-        | 'CircularIn'
-        | 'CircularOut'
-        | 'CircularInOut'
-        | 'ExponentialIn'
-        | 'ExponentialOut'
-        | 'ExponentialInOut'
-        | 'ElasticIn'
-        | 'ElasticOut'
-        | 'ElasticInOut'
-        | 'BackIn'
-        | 'BackOut'
-        | 'BackInOut'
-        | 'BounceIn'
-        | 'BounceOut'
-        | 'BounceInOut';
+      easing?: "Linear" | "QuadIn" | "QuadOut" | "QuadInOut" | "CubicIn" | "CubicOut" | "CubicInOut" | "QuarticIn" | "QuarticOut" | "QuarticInOut" | "QuinticIn" | "QuinticOut" | "QuinticInOut" | "SineIn" | "SineOut" | "SineInOut" | "CircularIn" | "CircularOut" | "CircularInOut" | "ExponentialIn" | "ExponentialOut" | "ExponentialInOut" | "ElasticIn" | "ElasticOut" | "ElasticInOut" | "BackIn" | "BackOut" | "BackInOut" | "BounceIn" | "BounceOut" | "BounceInOut";
       /**
-       * Num Steps
-       * @description number of denoising steps
+       * Num Steps 
+       * @description number of denoising steps 
        * @default 20
        */
       num_steps?: number;
       /**
-       * Start Value
-       * @description easing starting value
+       * Start Value 
+       * @description easing starting value 
        * @default 0
        */
       start_value?: number;
       /**
-       * End Value
-       * @description easing ending value
+       * End Value 
+       * @description easing ending value 
        * @default 1
        */
       end_value?: number;
       /**
-       * Start Step Percent
-       * @description fraction of steps at which to start easing
+       * Start Step Percent 
+       * @description fraction of steps at which to start easing 
        * @default 0
        */
       start_step_percent?: number;
       /**
-       * End Step Percent
-       * @description fraction of steps after which to end easing
+       * End Step Percent 
+       * @description fraction of steps after which to end easing 
        * @default 1
        */
       end_step_percent?: number;
       /**
-       * Pre Start Value
+       * Pre Start Value 
        * @description value before easing start
        */
       pre_start_value?: number;
       /**
-       * Post End Value
+       * Post End Value 
        * @description value after easing end
        */
       post_end_value?: number;
       /**
-       * Mirror
-       * @description include mirror of easing function
+       * Mirror 
+       * @description include mirror of easing function 
        * @default false
        */
       mirror?: boolean;
       /**
-       * Show Easing Plot
-       * @description show easing plot
+       * Show Easing Plot 
+       * @description show easing plot 
        * @default false
        */
       show_easing_plot?: boolean;
     };
     /**
-     * String Collection
+     * String Collection 
      * @description A collection of string primitive values
      */
     StringCollectionInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default string_collection
+       * Type 
+       * @default string_collection 
        * @enum {string}
        */
-      type: 'string_collection';
+      type: "string_collection";
       /**
-       * Collection
-       * @description The collection of string values
+       * Collection 
+       * @description The collection of string values 
        * @default 0
        */
-      collection?: string[];
+      collection?: (string)[];
     };
     /**
-     * StringCollectionOutput
+     * StringCollectionOutput 
      * @description Base class for nodes that output a collection of strings
      */
     StringCollectionOutput: {
       /**
-       * Type
-       * @default string_collection_output
+       * Type 
+       * @default string_collection_output 
        * @enum {string}
        */
-      type?: 'string_collection_output';
+      type?: "string_collection_output";
       /**
-       * Collection
+       * Collection 
        * @description The output strings
        */
-      collection?: string[];
+      collection?: (string)[];
     };
     /**
-     * String
+     * String 
      * @description A string primitive value
      */
     StringInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default string
+       * Type 
+       * @default string 
        * @enum {string}
        */
-      type: 'string';
+      type: "string";
       /**
-       * Text
-       * @description The string value
+       * Text 
+       * @description The string value 
        * @default
        */
       text?: string;
     };
     /**
-     * StringOutput
+     * StringOutput 
      * @description Base class for nodes that output a single string
      */
     StringOutput: {
       /**
-       * Type
-       * @default string_output
+       * Type 
+       * @default string_output 
        * @enum {string}
        */
-      type?: 'string_output';
+      type?: "string_output";
       /**
-       * Text
+       * Text 
        * @description The output string
        */
       text: string;
     };
     /**
-     * SubModelType
-     * @description An enumeration.
+     * SubModelType 
+     * @description An enumeration. 
      * @enum {string}
      */
-    SubModelType:
-      | 'unet'
-      | 'text_encoder'
-      | 'text_encoder_2'
-      | 'tokenizer'
-      | 'tokenizer_2'
-      | 'vae'
-      | 'vae_decoder'
-      | 'vae_encoder'
-      | 'scheduler'
-      | 'safety_checker';
+    SubModelType: "unet" | "text_encoder" | "text_encoder_2" | "tokenizer" | "tokenizer_2" | "vae" | "vae_decoder" | "vae_encoder" | "scheduler" | "safety_checker";
     /**
-     * Subtract Integers
+     * Subtract Integers 
      * @description Subtracts two numbers
      */
     SubtractInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default sub
+       * Type 
+       * @default sub 
        * @enum {string}
        */
-      type: 'sub';
+      type: "sub";
       /**
-       * A
-       * @description The first number
+       * A 
+       * @description The first number 
        * @default 0
        */
       a?: number;
       /**
-       * B
-       * @description The second number
+       * B 
+       * @description The second number 
        * @default 0
        */
       b?: number;
@@ -6204,50 +5922,50 @@ export type components = {
     TextualInversionModelConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
       /**
-       * Model Type
+       * Model Type 
        * @enum {string}
        */
-      model_type: 'embedding';
+      model_type: "embedding";
       /** Path */
       path: string;
       /** Description */
       description?: string;
       /** Model Format */
       model_format: null;
-      error?: components['schemas']['ModelError'];
+      error?: components["schemas"]["ModelError"];
     };
     /**
-     * Tile Resample Processor
+     * Tile Resample Processor 
      * @description Tile resampler processor
      */
     TileResamplerProcessorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default tile_image_processor
+       * Type 
+       * @default tile_image_processor 
        * @enum {string}
        */
-      type: 'tile_image_processor';
+      type: "tile_image_processor";
       /**
-       * Image
+       * Image 
        * @description The image to process
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
       /**
-       * Down Sampling Rate
-       * @description Down sampling rate
+       * Down Sampling Rate 
+       * @description Down sampling rate 
        * @default 1
        */
       down_sampling_rate?: number;
@@ -6255,123 +5973,123 @@ export type components = {
     /** UNetField */
     UNetField: {
       /**
-       * Unet
+       * Unet 
        * @description Info to load unet submodel
        */
-      unet: components['schemas']['ModelInfo'];
+      unet: components["schemas"]["ModelInfo"];
       /**
-       * Scheduler
+       * Scheduler 
        * @description Info to load scheduler submodel
        */
-      scheduler: components['schemas']['ModelInfo'];
+      scheduler: components["schemas"]["ModelInfo"];
       /**
-       * Loras
+       * Loras 
        * @description Loras to apply on model loading
        */
-      loras: components['schemas']['LoraInfo'][];
+      loras: (components["schemas"]["LoraInfo"])[];
     };
     /** Upscaler */
     Upscaler: {
       /**
-       * Upscaling Method
+       * Upscaling Method 
        * @description Name of upscaling method
        */
       upscaling_method: string;
       /**
-       * Upscaling Models
+       * Upscaling Models 
        * @description List of upscaling models for this method
        */
-      upscaling_models: string[];
+      upscaling_models: (string)[];
     };
     /**
-     * VAEModelField
+     * VAEModelField 
      * @description Vae model field
      */
     VAEModelField: {
       /**
-       * Model Name
+       * Model Name 
        * @description Name of the model
        */
       model_name: string;
       /** @description Base model */
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
     };
     /** VaeField */
     VaeField: {
       /**
-       * Vae
+       * Vae 
        * @description Info to load vae submodel
        */
-      vae: components['schemas']['ModelInfo'];
+      vae: components["schemas"]["ModelInfo"];
     };
     /**
-     * VAE Loader
+     * VAE Loader 
      * @description Loads a VAE model, outputting a VaeLoaderOutput
      */
     VaeLoaderInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default vae_loader
+       * Type 
+       * @default vae_loader 
        * @enum {string}
        */
-      type: 'vae_loader';
+      type: "vae_loader";
       /**
-       * VAE
+       * VAE 
        * @description VAE model to load
        */
-      vae_model: components['schemas']['VAEModelField'];
+      vae_model: components["schemas"]["VAEModelField"];
     };
     /**
-     * VaeLoaderOutput
+     * VaeLoaderOutput 
      * @description Model loader output
      */
     VaeLoaderOutput: {
       /**
-       * Type
-       * @default vae_loader_output
+       * Type 
+       * @default vae_loader_output 
        * @enum {string}
        */
-      type?: 'vae_loader_output';
+      type?: "vae_loader_output";
       /**
-       * VAE
+       * VAE 
        * @description VAE
        */
-      vae: components['schemas']['VaeField'];
+      vae: components["schemas"]["VaeField"];
     };
     /** VaeModelConfig */
     VaeModelConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components['schemas']['BaseModelType'];
+      base_model: components["schemas"]["BaseModelType"];
       /**
-       * Model Type
+       * Model Type 
        * @enum {string}
        */
-      model_type: 'vae';
+      model_type: "vae";
       /** Path */
       path: string;
       /** Description */
       description?: string;
-      model_format: components['schemas']['VaeModelFormat'];
-      error?: components['schemas']['ModelError'];
+      model_format: components["schemas"]["VaeModelFormat"];
+      error?: components["schemas"]["ModelError"];
     };
     /**
-     * VaeModelFormat
-     * @description An enumeration.
+     * VaeModelFormat 
+     * @description An enumeration. 
      * @enum {string}
      */
-    VaeModelFormat: 'checkpoint' | 'diffusers';
+    VaeModelFormat: "checkpoint" | "diffusers";
     /** ValidationError */
     ValidationError: {
       /** Location */
@@ -6382,63 +6100,129 @@ export type components = {
       type: string;
     };
     /**
-     * Zoe (Depth) Processor
+     * Zoe (Depth) Processor 
      * @description Applies Zoe depth processing to image
      */
     ZoeDepthImageProcessorInvocation: {
       /**
-       * Id
+       * Id 
        * @description The id of this node. Must be unique among all nodes.
        */
       id: string;
       /**
-       * Is Intermediate
-       * @description Whether or not this node is an intermediate node.
+       * Is Intermediate 
+       * @description Whether or not this node is an intermediate node. 
        * @default false
        */
       is_intermediate?: boolean;
       /**
-       * Type
-       * @default zoe_depth_image_processor
+       * Type 
+       * @default zoe_depth_image_processor 
        * @enum {string}
        */
-      type: 'zoe_depth_image_processor';
+      type: "zoe_depth_image_processor";
       /**
-       * Image
+       * Image 
        * @description The image to process
        */
-      image?: components['schemas']['ImageField'];
+      image?: components["schemas"]["ImageField"];
     };
     /**
-     * ControlNetModelFormat
-     * @description An enumeration.
-     * @enum {string}
+     * UIConfigBase 
+     * @description Provides additional node configuration to the UI.
+     * This is used internally by the @tags and @title decorator logic. You probably want to use those
+     * decorators, though you may add this class to a node definition to specify the title and tags.
      */
-    ControlNetModelFormat: 'checkpoint' | 'diffusers';
+    UIConfigBase: {
+      /**
+       * Tags 
+       * @description The tags to display in the UI
+       */
+      tags?: (string)[];
+      /**
+       * Title 
+       * @description The display name of the node
+       */
+      title?: string;
+    };
     /**
-     * StableDiffusion2ModelFormat
-     * @description An enumeration.
+     * Input 
+     * @description The type of input a field accepts.
+     * - `Input.Direct`: The field must have its value provided directly, when the invocation and field       are instantiated.
+     * - `Input.Connection`: The field must have its value provided by a connection.
+     * - `Input.Any`: The field may have its value provided either directly or by a connection. 
      * @enum {string}
      */
-    StableDiffusion2ModelFormat: 'checkpoint' | 'diffusers';
+    Input: "connection" | "direct" | "any";
     /**
-     * StableDiffusionXLModelFormat
-     * @description An enumeration.
+     * UIType 
+     * @description Type hints for the UI.
+     * If a field should be provided a data type that does not exactly match the python type of the field,     use this to provide the type that should be used instead. See the node development docs for detail     on adding a new field type, which involves client-side changes. 
      * @enum {string}
      */
-    StableDiffusionXLModelFormat: 'checkpoint' | 'diffusers';
+    UIType: "integer" | "float" | "boolean" | "string" | "array" | "ImageField" | "LatentsField" | "ConditioningField" | "ControlField" | "ColorField" | "ImageCollection" | "ConditioningCollection" | "ColorCollection" | "LatentsCollection" | "IntegerCollection" | "FloatCollection" | "StringCollection" | "BooleanCollection" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "UNetField" | "VaeField" | "ClipField" | "Collection" | "CollectionItem" | "FilePath" | "enum";
     /**
-     * StableDiffusionOnnxModelFormat
-     * @description An enumeration.
+     * UIComponent 
+     * @description The type of UI component to use for a field, used to override the default components, which are     inferred from the field type. 
      * @enum {string}
      */
-    StableDiffusionOnnxModelFormat: 'olive' | 'onnx';
+    UIComponent: "none" | "textarea" | "slider";
     /**
-     * StableDiffusion1ModelFormat
-     * @description An enumeration.
+     * _InputField 
+     * @description *DO NOT USE*
+     * This helper class is used to tell the client about our custom field attributes via OpenAPI
+     * schema generation, and Typescript type generation from that schema. It serves no functional
+     * purpose in the backend.
+     */
+    _InputField: {
+      input: components["schemas"]["Input"];
+      /** Ui Hidden */
+      ui_hidden: boolean;
+      ui_type?: components["schemas"]["UIType"];
+      ui_component?: components["schemas"]["UIComponent"];
+    };
+    /**
+     * _OutputField 
+     * @description *DO NOT USE*
+     * This helper class is used to tell the client about our custom field attributes via OpenAPI
+     * schema generation, and Typescript type generation from that schema. It serves no functional
+     * purpose in the backend.
+     */
+    _OutputField: {
+      /** Ui Hidden */
+      ui_hidden: boolean;
+      ui_type?: components["schemas"]["UIType"];
+    };
+    /**
+     * StableDiffusion2ModelFormat 
+     * @description An enumeration. 
      * @enum {string}
      */
-    StableDiffusion1ModelFormat: 'checkpoint' | 'diffusers';
+    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * ControlNetModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    ControlNetModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionXLModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionOnnxModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusionOnnxModelFormat: "olive" | "onnx";
+    /**
+     * StableDiffusion1ModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -6450,8 +6234,9 @@ export type components = {
 export type external = Record<string, never>;
 
 export type operations = {
+
   /**
-   * List Sessions
+   * List Sessions 
    * @description Gets a list of sessions, optionally searching
    */
   list_sessions: {
@@ -6469,32 +6254,32 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['PaginatedResults_GraphExecutionState_'];
+          "application/json": components["schemas"]["PaginatedResults_GraphExecutionState_"];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Create Session
+   * Create Session 
    * @description Creates a new session, optionally initializing it with an invocation graph
    */
   create_session: {
     requestBody?: {
       content: {
-        'application/json': components['schemas']['Graph'];
+        "application/json": components["schemas"]["Graph"];
       };
     };
     responses: {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['GraphExecutionState'];
+          "application/json": components["schemas"]["GraphExecutionState"];
         };
       };
       /** @description Invalid json */
@@ -6502,13 +6287,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Get Session
+   * Get Session 
    * @description Gets a session
    */
   get_session: {
@@ -6522,7 +6307,7 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['GraphExecutionState'];
+          "application/json": components["schemas"]["GraphExecutionState"];
         };
       };
       /** @description Session not found */
@@ -6530,13 +6315,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Add Node
+   * Add Node 
    * @description Adds a node to the graph
    */
   add_node: {
@@ -6548,99 +6333,14 @@ export type operations = {
     };
     requestBody: {
       content: {
-        'application/json':
-          | components['schemas']['ControlNetInvocation']
-          | components['schemas']['ImageProcessorInvocation']
-          | components['schemas']['MainModelLoaderInvocation']
-          | components['schemas']['LoraLoaderInvocation']
-          | components['schemas']['SDXLLoraLoaderInvocation']
-          | components['schemas']['VaeLoaderInvocation']
-          | components['schemas']['MetadataAccumulatorInvocation']
-          | components['schemas']['SDXLModelLoaderInvocation']
-          | components['schemas']['SDXLRefinerModelLoaderInvocation']
-          | components['schemas']['CompelInvocation']
-          | components['schemas']['SDXLCompelPromptInvocation']
-          | components['schemas']['SDXLRefinerCompelPromptInvocation']
-          | components['schemas']['ClipSkipInvocation']
-          | components['schemas']['LoadImageInvocation']
-          | components['schemas']['ShowImageInvocation']
-          | components['schemas']['ImageCropInvocation']
-          | components['schemas']['ImagePasteInvocation']
-          | components['schemas']['MaskFromAlphaInvocation']
-          | components['schemas']['ImageMultiplyInvocation']
-          | components['schemas']['ImageChannelInvocation']
-          | components['schemas']['ImageConvertInvocation']
-          | components['schemas']['ImageBlurInvocation']
-          | components['schemas']['ImageResizeInvocation']
-          | components['schemas']['ImageScaleInvocation']
-          | components['schemas']['ImageLerpInvocation']
-          | components['schemas']['ImageInverseLerpInvocation']
-          | components['schemas']['ImageNSFWBlurInvocation']
-          | components['schemas']['ImageWatermarkInvocation']
-          | components['schemas']['MaskEdgeInvocation']
-          | components['schemas']['MaskCombineInvocation']
-          | components['schemas']['ColorCorrectInvocation']
-          | components['schemas']['ImageHueAdjustmentInvocation']
-          | components['schemas']['ImageLuminosityAdjustmentInvocation']
-          | components['schemas']['ImageSaturationAdjustmentInvocation']
-          | components['schemas']['DenoiseLatentsInvocation']
-          | components['schemas']['LatentsToImageInvocation']
-          | components['schemas']['ResizeLatentsInvocation']
-          | components['schemas']['ScaleLatentsInvocation']
-          | components['schemas']['ImageToLatentsInvocation']
-          | components['schemas']['ONNXPromptInvocation']
-          | components['schemas']['ONNXTextToLatentsInvocation']
-          | components['schemas']['ONNXLatentsToImageInvocation']
-          | components['schemas']['ONNXSD1ModelLoaderInvocation']
-          | components['schemas']['OnnxModelLoaderInvocation']
-          | components['schemas']['DynamicPromptInvocation']
-          | components['schemas']['PromptsFromFileInvocation']
-          | components['schemas']['AddInvocation']
-          | components['schemas']['SubtractInvocation']
-          | components['schemas']['MultiplyInvocation']
-          | components['schemas']['DivideInvocation']
-          | components['schemas']['RandomIntInvocation']
-          | components['schemas']['ParamIntInvocation']
-          | components['schemas']['ParamFloatInvocation']
-          | components['schemas']['ParamStringInvocation']
-          | components['schemas']['ParamPromptInvocation']
-          | components['schemas']['CvInpaintInvocation']
-          | components['schemas']['RangeInvocation']
-          | components['schemas']['RangeOfSizeInvocation']
-          | components['schemas']['RandomRangeInvocation']
-          | components['schemas']['ImageCollectionInvocation']
-          | components['schemas']['FloatLinearRangeInvocation']
-          | components['schemas']['StepParamEasingInvocation']
-          | components['schemas']['NoiseInvocation']
-          | components['schemas']['ESRGANInvocation']
-          | components['schemas']['InfillColorInvocation']
-          | components['schemas']['InfillTileInvocation']
-          | components['schemas']['InfillPatchMatchInvocation']
-          | components['schemas']['GraphInvocation']
-          | components['schemas']['IterateInvocation']
-          | components['schemas']['CollectInvocation']
-          | components['schemas']['CannyImageProcessorInvocation']
-          | components['schemas']['HedImageProcessorInvocation']
-          | components['schemas']['LineartImageProcessorInvocation']
-          | components['schemas']['LineartAnimeImageProcessorInvocation']
-          | components['schemas']['OpenposeImageProcessorInvocation']
-          | components['schemas']['MidasDepthImageProcessorInvocation']
-          | components['schemas']['NormalbaeImageProcessorInvocation']
-          | components['schemas']['MlsdImageProcessorInvocation']
-          | components['schemas']['PidiImageProcessorInvocation']
-          | components['schemas']['ContentShuffleImageProcessorInvocation']
-          | components['schemas']['ZoeDepthImageProcessorInvocation']
-          | components['schemas']['MediapipeFaceProcessorInvocation']
-          | components['schemas']['LeresImageProcessorInvocation']
-          | components['schemas']['TileResamplerProcessorInvocation']
-          | components['schemas']['SegmentAnythingProcessorInvocation'];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': string;
+          "application/json": string;
         };
       };
       /** @description Invalid node or link */
@@ -6650,13 +6350,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Update Node
+   * Update Node 
    * @description Updates a node in the graph and removes all linked edges
    */
   update_node: {
@@ -6670,99 +6370,14 @@ export type operations = {
     };
     requestBody: {
       content: {
-        'application/json':
-          | components['schemas']['ControlNetInvocation']
-          | components['schemas']['ImageProcessorInvocation']
-          | components['schemas']['MainModelLoaderInvocation']
-          | components['schemas']['LoraLoaderInvocation']
-          | components['schemas']['SDXLLoraLoaderInvocation']
-          | components['schemas']['VaeLoaderInvocation']
-          | components['schemas']['MetadataAccumulatorInvocation']
-          | components['schemas']['SDXLModelLoaderInvocation']
-          | components['schemas']['SDXLRefinerModelLoaderInvocation']
-          | components['schemas']['CompelInvocation']
-          | components['schemas']['SDXLCompelPromptInvocation']
-          | components['schemas']['SDXLRefinerCompelPromptInvocation']
-          | components['schemas']['ClipSkipInvocation']
-          | components['schemas']['LoadImageInvocation']
-          | components['schemas']['ShowImageInvocation']
-          | components['schemas']['ImageCropInvocation']
-          | components['schemas']['ImagePasteInvocation']
-          | components['schemas']['MaskFromAlphaInvocation']
-          | components['schemas']['ImageMultiplyInvocation']
-          | components['schemas']['ImageChannelInvocation']
-          | components['schemas']['ImageConvertInvocation']
-          | components['schemas']['ImageBlurInvocation']
-          | components['schemas']['ImageResizeInvocation']
-          | components['schemas']['ImageScaleInvocation']
-          | components['schemas']['ImageLerpInvocation']
-          | components['schemas']['ImageInverseLerpInvocation']
-          | components['schemas']['ImageNSFWBlurInvocation']
-          | components['schemas']['ImageWatermarkInvocation']
-          | components['schemas']['MaskEdgeInvocation']
-          | components['schemas']['MaskCombineInvocation']
-          | components['schemas']['ColorCorrectInvocation']
-          | components['schemas']['ImageHueAdjustmentInvocation']
-          | components['schemas']['ImageLuminosityAdjustmentInvocation']
-          | components['schemas']['ImageSaturationAdjustmentInvocation']
-          | components['schemas']['DenoiseLatentsInvocation']
-          | components['schemas']['LatentsToImageInvocation']
-          | components['schemas']['ResizeLatentsInvocation']
-          | components['schemas']['ScaleLatentsInvocation']
-          | components['schemas']['ImageToLatentsInvocation']
-          | components['schemas']['ONNXPromptInvocation']
-          | components['schemas']['ONNXTextToLatentsInvocation']
-          | components['schemas']['ONNXLatentsToImageInvocation']
-          | components['schemas']['ONNXSD1ModelLoaderInvocation']
-          | components['schemas']['OnnxModelLoaderInvocation']
-          | components['schemas']['DynamicPromptInvocation']
-          | components['schemas']['PromptsFromFileInvocation']
-          | components['schemas']['AddInvocation']
-          | components['schemas']['SubtractInvocation']
-          | components['schemas']['MultiplyInvocation']
-          | components['schemas']['DivideInvocation']
-          | components['schemas']['RandomIntInvocation']
-          | components['schemas']['ParamIntInvocation']
-          | components['schemas']['ParamFloatInvocation']
-          | components['schemas']['ParamStringInvocation']
-          | components['schemas']['ParamPromptInvocation']
-          | components['schemas']['CvInpaintInvocation']
-          | components['schemas']['RangeInvocation']
-          | components['schemas']['RangeOfSizeInvocation']
-          | components['schemas']['RandomRangeInvocation']
-          | components['schemas']['ImageCollectionInvocation']
-          | components['schemas']['FloatLinearRangeInvocation']
-          | components['schemas']['StepParamEasingInvocation']
-          | components['schemas']['NoiseInvocation']
-          | components['schemas']['ESRGANInvocation']
-          | components['schemas']['InfillColorInvocation']
-          | components['schemas']['InfillTileInvocation']
-          | components['schemas']['InfillPatchMatchInvocation']
-          | components['schemas']['GraphInvocation']
-          | components['schemas']['IterateInvocation']
-          | components['schemas']['CollectInvocation']
-          | components['schemas']['CannyImageProcessorInvocation']
-          | components['schemas']['HedImageProcessorInvocation']
-          | components['schemas']['LineartImageProcessorInvocation']
-          | components['schemas']['LineartAnimeImageProcessorInvocation']
-          | components['schemas']['OpenposeImageProcessorInvocation']
-          | components['schemas']['MidasDepthImageProcessorInvocation']
-          | components['schemas']['NormalbaeImageProcessorInvocation']
-          | components['schemas']['MlsdImageProcessorInvocation']
-          | components['schemas']['PidiImageProcessorInvocation']
-          | components['schemas']['ContentShuffleImageProcessorInvocation']
-          | components['schemas']['ZoeDepthImageProcessorInvocation']
-          | components['schemas']['MediapipeFaceProcessorInvocation']
-          | components['schemas']['LeresImageProcessorInvocation']
-          | components['schemas']['TileResamplerProcessorInvocation']
-          | components['schemas']['SegmentAnythingProcessorInvocation'];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['GraphExecutionState'];
+          "application/json": components["schemas"]["GraphExecutionState"];
         };
       };
       /** @description Invalid node or link */
@@ -6772,13 +6387,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Delete Node
+   * Delete Node 
    * @description Deletes a node in the graph and removes all linked edges
    */
   delete_node: {
@@ -6794,7 +6409,7 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['GraphExecutionState'];
+          "application/json": components["schemas"]["GraphExecutionState"];
         };
       };
       /** @description Invalid node or link */
@@ -6804,13 +6419,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Add Edge
+   * Add Edge 
    * @description Adds an edge to the graph
    */
   add_edge: {
@@ -6822,14 +6437,14 @@ export type operations = {
     };
     requestBody: {
       content: {
-        'application/json': components['schemas']['Edge'];
+        "application/json": components["schemas"]["Edge"];
       };
     };
     responses: {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['GraphExecutionState'];
+          "application/json": components["schemas"]["GraphExecutionState"];
         };
       };
       /** @description Invalid node or link */
@@ -6839,13 +6454,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Delete Edge
+   * Delete Edge 
    * @description Deletes an edge from the graph
    */
   delete_edge: {
@@ -6867,7 +6482,7 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['GraphExecutionState'];
+          "application/json": components["schemas"]["GraphExecutionState"];
         };
       };
       /** @description Invalid node or link */
@@ -6877,13 +6492,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Invoke Session
+   * Invoke Session 
    * @description Invokes a session
    */
   invoke_session: {
@@ -6901,7 +6516,7 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': unknown;
+          "application/json": unknown;
         };
       };
       /** @description The invocation is queued */
@@ -6913,13 +6528,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Cancel Session Invoke
+   * Cancel Session Invoke 
    * @description Invokes a session
    */
   cancel_session_invoke: {
@@ -6933,7 +6548,7 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': unknown;
+          "application/json": unknown;
         };
       };
       /** @description The invocation is canceled */
@@ -6941,50 +6556,50 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * List Models
+   * List Models 
    * @description Gets a list of models
    */
   list_models: {
     parameters: {
       query?: {
         /** @description Base models to include */
-        base_models?: components['schemas']['BaseModelType'][];
+        base_models?: (components["schemas"]["BaseModelType"])[];
         /** @description The type of model to get */
-        model_type?: components['schemas']['ModelType'];
+        model_type?: components["schemas"]["ModelType"];
       };
     };
     responses: {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['ModelsList'];
+          "application/json": components["schemas"]["ModelsList"];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Delete Model
+   * Delete Model 
    * @description Delete Model
    */
   del_model: {
     parameters: {
       path: {
         /** @description Base model */
-        base_model: components['schemas']['BaseModelType'];
+        base_model: components["schemas"]["BaseModelType"];
         /** @description The type of model */
-        model_type: components['schemas']['ModelType'];
+        model_type: components["schemas"]["ModelType"];
         /** @description model name */
         model_name: string;
       };
@@ -6997,62 +6612,36 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Update Model
+   * Update Model 
    * @description Update model contents with a new config. If the model name or base fields are changed, then the model is renamed.
    */
   update_model: {
     parameters: {
       path: {
         /** @description Base model */
-        base_model: components['schemas']['BaseModelType'];
+        base_model: components["schemas"]["BaseModelType"];
         /** @description The type of model */
-        model_type: components['schemas']['ModelType'];
+        model_type: components["schemas"]["ModelType"];
         /** @description model name */
         model_name: string;
       };
     };
     requestBody: {
       content: {
-        'application/json':
-          | components['schemas']['ONNXStableDiffusion1ModelConfig']
-          | components['schemas']['StableDiffusion1ModelCheckpointConfig']
-          | components['schemas']['StableDiffusion1ModelDiffusersConfig']
-          | components['schemas']['VaeModelConfig']
-          | components['schemas']['LoRAModelConfig']
-          | components['schemas']['ControlNetModelCheckpointConfig']
-          | components['schemas']['ControlNetModelDiffusersConfig']
-          | components['schemas']['TextualInversionModelConfig']
-          | components['schemas']['ONNXStableDiffusion2ModelConfig']
-          | components['schemas']['StableDiffusion2ModelCheckpointConfig']
-          | components['schemas']['StableDiffusion2ModelDiffusersConfig']
-          | components['schemas']['StableDiffusionXLModelCheckpointConfig']
-          | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
+        "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
       };
     };
     responses: {
       /** @description The model was updated successfully */
       200: {
         content: {
-          'application/json':
-            | components['schemas']['ONNXStableDiffusion1ModelConfig']
-            | components['schemas']['StableDiffusion1ModelCheckpointConfig']
-            | components['schemas']['StableDiffusion1ModelDiffusersConfig']
-            | components['schemas']['VaeModelConfig']
-            | components['schemas']['LoRAModelConfig']
-            | components['schemas']['ControlNetModelCheckpointConfig']
-            | components['schemas']['ControlNetModelDiffusersConfig']
-            | components['schemas']['TextualInversionModelConfig']
-            | components['schemas']['ONNXStableDiffusion2ModelConfig']
-            | components['schemas']['StableDiffusion2ModelCheckpointConfig']
-            | components['schemas']['StableDiffusion2ModelDiffusersConfig']
-            | components['schemas']['StableDiffusionXLModelCheckpointConfig']
-            | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description Bad request */
@@ -7064,39 +6653,26 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Import Model
+   * Import Model 
    * @description Add a model using its local path, repo_id, or remote URL. Model characteristics will be probed and configured automatically
    */
   import_model: {
     requestBody: {
       content: {
-        'application/json': components['schemas']['Body_import_model'];
+        "application/json": components["schemas"]["Body_import_model"];
       };
     };
     responses: {
       /** @description The model imported successfully */
       201: {
         content: {
-          'application/json':
-            | components['schemas']['ONNXStableDiffusion1ModelConfig']
-            | components['schemas']['StableDiffusion1ModelCheckpointConfig']
-            | components['schemas']['StableDiffusion1ModelDiffusersConfig']
-            | components['schemas']['VaeModelConfig']
-            | components['schemas']['LoRAModelConfig']
-            | components['schemas']['ControlNetModelCheckpointConfig']
-            | components['schemas']['ControlNetModelDiffusersConfig']
-            | components['schemas']['TextualInversionModelConfig']
-            | components['schemas']['ONNXStableDiffusion2ModelConfig']
-            | components['schemas']['StableDiffusion2ModelCheckpointConfig']
-            | components['schemas']['StableDiffusion2ModelDiffusersConfig']
-            | components['schemas']['StableDiffusionXLModelCheckpointConfig']
-            | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description The model could not be found */
@@ -7108,7 +6684,7 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
       /** @description The model appeared to import successfully, but could not be found in the model manager */
@@ -7116,46 +6692,20 @@ export type operations = {
     };
   };
   /**
-   * Add Model
+   * Add Model 
    * @description Add a model using the configuration information appropriate for its type. Only local models can be added by path
    */
   add_model: {
     requestBody: {
       content: {
-        'application/json':
-          | components['schemas']['ONNXStableDiffusion1ModelConfig']
-          | components['schemas']['StableDiffusion1ModelCheckpointConfig']
-          | components['schemas']['StableDiffusion1ModelDiffusersConfig']
-          | components['schemas']['VaeModelConfig']
-          | components['schemas']['LoRAModelConfig']
-          | components['schemas']['ControlNetModelCheckpointConfig']
-          | components['schemas']['ControlNetModelDiffusersConfig']
-          | components['schemas']['TextualInversionModelConfig']
-          | components['schemas']['ONNXStableDiffusion2ModelConfig']
-          | components['schemas']['StableDiffusion2ModelCheckpointConfig']
-          | components['schemas']['StableDiffusion2ModelDiffusersConfig']
-          | components['schemas']['StableDiffusionXLModelCheckpointConfig']
-          | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
+        "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
       };
     };
     responses: {
       /** @description The model added successfully */
       201: {
         content: {
-          'application/json':
-            | components['schemas']['ONNXStableDiffusion1ModelConfig']
-            | components['schemas']['StableDiffusion1ModelCheckpointConfig']
-            | components['schemas']['StableDiffusion1ModelDiffusersConfig']
-            | components['schemas']['VaeModelConfig']
-            | components['schemas']['LoRAModelConfig']
-            | components['schemas']['ControlNetModelCheckpointConfig']
-            | components['schemas']['ControlNetModelDiffusersConfig']
-            | components['schemas']['TextualInversionModelConfig']
-            | components['schemas']['ONNXStableDiffusion2ModelConfig']
-            | components['schemas']['StableDiffusion2ModelCheckpointConfig']
-            | components['schemas']['StableDiffusion2ModelDiffusersConfig']
-            | components['schemas']['StableDiffusionXLModelCheckpointConfig']
-            | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description The model could not be found */
@@ -7165,7 +6715,7 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
       /** @description The model appeared to add successfully, but could not be found in the model manager */
@@ -7173,7 +6723,7 @@ export type operations = {
     };
   };
   /**
-   * Convert Model
+   * Convert Model 
    * @description Convert a checkpoint model into a diffusers model, optionally saving to the indicated destination directory, or `models` if none.
    */
   convert_model: {
@@ -7184,9 +6734,9 @@ export type operations = {
       };
       path: {
         /** @description Base model */
-        base_model: components['schemas']['BaseModelType'];
+        base_model: components["schemas"]["BaseModelType"];
         /** @description The type of model */
-        model_type: components['schemas']['ModelType'];
+        model_type: components["schemas"]["ModelType"];
         /** @description model name */
         model_name: string;
       };
@@ -7195,20 +6745,7 @@ export type operations = {
       /** @description Model converted successfully */
       200: {
         content: {
-          'application/json':
-            | components['schemas']['ONNXStableDiffusion1ModelConfig']
-            | components['schemas']['StableDiffusion1ModelCheckpointConfig']
-            | components['schemas']['StableDiffusion1ModelDiffusersConfig']
-            | components['schemas']['VaeModelConfig']
-            | components['schemas']['LoRAModelConfig']
-            | components['schemas']['ControlNetModelCheckpointConfig']
-            | components['schemas']['ControlNetModelDiffusersConfig']
-            | components['schemas']['TextualInversionModelConfig']
-            | components['schemas']['ONNXStableDiffusion2ModelConfig']
-            | components['schemas']['StableDiffusion2ModelCheckpointConfig']
-            | components['schemas']['StableDiffusion2ModelDiffusersConfig']
-            | components['schemas']['StableDiffusionXLModelCheckpointConfig']
-            | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description Bad request */
@@ -7218,7 +6755,7 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
@@ -7235,7 +6772,7 @@ export type operations = {
       /** @description Directory searched successfully */
       200: {
         content: {
-          'application/json': string[];
+          "application/json": (string)[];
         };
       };
       /** @description Invalid directory path */
@@ -7243,13 +6780,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * List Ckpt Configs
+   * List Ckpt Configs 
    * @description Return a list of the legacy checkpoint configuration files stored in `ROOT/configs/stable-diffusion`, relative to ROOT.
    */
   list_ckpt_configs: {
@@ -7257,13 +6794,13 @@ export type operations = {
       /** @description paths retrieved successfully */
       200: {
         content: {
-          'application/json': string[];
+          "application/json": (string)[];
         };
       };
     };
   };
   /**
-   * Sync To Config
+   * Sync To Config 
    * @description Call after making changes to models.yaml, autoimport directories or models directory to synchronize
    * in-memory data structures with disk data structures.
    */
@@ -7272,45 +6809,32 @@ export type operations = {
       /** @description synchronization successful */
       201: {
         content: {
-          'application/json': boolean;
+          "application/json": boolean;
         };
       };
     };
   };
   /**
-   * Merge Models
+   * Merge Models 
    * @description Convert a checkpoint model into a diffusers model
    */
   merge_models: {
     parameters: {
       path: {
         /** @description Base model */
-        base_model: components['schemas']['BaseModelType'];
+        base_model: components["schemas"]["BaseModelType"];
       };
     };
     requestBody: {
       content: {
-        'application/json': components['schemas']['Body_merge_models'];
+        "application/json": components["schemas"]["Body_merge_models"];
       };
     };
     responses: {
       /** @description Model converted successfully */
       200: {
         content: {
-          'application/json':
-            | components['schemas']['ONNXStableDiffusion1ModelConfig']
-            | components['schemas']['StableDiffusion1ModelCheckpointConfig']
-            | components['schemas']['StableDiffusion1ModelDiffusersConfig']
-            | components['schemas']['VaeModelConfig']
-            | components['schemas']['LoRAModelConfig']
-            | components['schemas']['ControlNetModelCheckpointConfig']
-            | components['schemas']['ControlNetModelDiffusersConfig']
-            | components['schemas']['TextualInversionModelConfig']
-            | components['schemas']['ONNXStableDiffusion2ModelConfig']
-            | components['schemas']['StableDiffusion2ModelCheckpointConfig']
-            | components['schemas']['StableDiffusion2ModelDiffusersConfig']
-            | components['schemas']['StableDiffusionXLModelCheckpointConfig']
-            | components['schemas']['StableDiffusionXLModelDiffusersConfig'];
+          "application/json": components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"];
         };
       };
       /** @description Incompatible models */
@@ -7320,20 +6844,20 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Upload Image
+   * Upload Image 
    * @description Uploads an image
    */
   upload_image: {
     parameters: {
       query: {
         /** @description The category of the image */
-        image_category: components['schemas']['ImageCategory'];
+        image_category: components["schemas"]["ImageCategory"];
         /** @description Whether this is an intermediate image */
         is_intermediate: boolean;
         /** @description The board to add this image to, if any */
@@ -7346,14 +6870,14 @@ export type operations = {
     };
     requestBody: {
       content: {
-        'multipart/form-data': components['schemas']['Body_upload_image'];
+        "multipart/form-data": components["schemas"]["Body_upload_image"];
       };
     };
     responses: {
       /** @description The image was uploaded successfully */
       201: {
         content: {
-          'application/json': components['schemas']['ImageDTO'];
+          "application/json": components["schemas"]["ImageDTO"];
         };
       };
       /** @description Image upload failed */
@@ -7361,13 +6885,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Get Image Dto
+   * Get Image Dto 
    * @description Gets an image's DTO
    */
   get_image_dto: {
@@ -7381,19 +6905,19 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['ImageDTO'];
+          "application/json": components["schemas"]["ImageDTO"];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Delete Image
+   * Delete Image 
    * @description Deletes an image
    */
   delete_image: {
@@ -7407,19 +6931,19 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': unknown;
+          "application/json": unknown;
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Update Image
+   * Update Image 
    * @description Updates an image
    */
   update_image: {
@@ -7431,26 +6955,26 @@ export type operations = {
     };
     requestBody: {
       content: {
-        'application/json': components['schemas']['ImageRecordChanges'];
+        "application/json": components["schemas"]["ImageRecordChanges"];
       };
     };
     responses: {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['ImageDTO'];
+          "application/json": components["schemas"]["ImageDTO"];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Clear Intermediates
+   * Clear Intermediates 
    * @description Clears all intermediates
    */
   clear_intermediates: {
@@ -7458,13 +6982,13 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': unknown;
+          "application/json": unknown;
         };
       };
     };
   };
   /**
-   * Get Image Metadata
+   * Get Image Metadata 
    * @description Gets an image's metadata
    */
   get_image_metadata: {
@@ -7478,19 +7002,19 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['ImageMetadata'];
+          "application/json": components["schemas"]["ImageMetadata"];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Get Image Full
+   * Get Image Full 
    * @description Gets a full-resolution image file
    */
   get_image_full: {
@@ -7504,7 +7028,7 @@ export type operations = {
       /** @description Return the full-resolution image */
       200: {
         content: {
-          'image/png': unknown;
+          "image/png": unknown;
         };
       };
       /** @description Image not found */
@@ -7512,13 +7036,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Get Image Thumbnail
+   * Get Image Thumbnail 
    * @description Gets a thumbnail image file
    */
   get_image_thumbnail: {
@@ -7532,7 +7056,7 @@ export type operations = {
       /** @description Return the image thumbnail */
       200: {
         content: {
-          'image/webp': unknown;
+          "image/webp": unknown;
         };
       };
       /** @description Image not found */
@@ -7540,13 +7064,13 @@ export type operations = {
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Get Image Urls
+   * Get Image Urls 
    * @description Gets an image and thumbnail URL
    */
   get_image_urls: {
@@ -7560,28 +7084,28 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['ImageUrlsDTO'];
+          "application/json": components["schemas"]["ImageUrlsDTO"];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * List Image Dtos
+   * List Image Dtos 
    * @description Gets a list of image DTOs
    */
   list_image_dtos: {
     parameters: {
       query?: {
         /** @description The origin of images to list. */
-        image_origin?: components['schemas']['ResourceOrigin'];
+        image_origin?: components["schemas"]["ResourceOrigin"];
         /** @description The categories of image to include. */
-        categories?: components['schemas']['ImageCategory'][];
+        categories?: (components["schemas"]["ImageCategory"])[];
         /** @description Whether to list intermediate images. */
         is_intermediate?: boolean;
         /** @description The board id to filter by. Use 'none' to find images without a board. */
@@ -7596,13 +7120,13 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['OffsetPaginatedResults_ImageDTO_'];
+          "application/json": components["schemas"]["OffsetPaginatedResults_ImageDTO_"];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
@@ -7611,20 +7135,20 @@ export type operations = {
   delete_images_from_list: {
     requestBody: {
       content: {
-        'application/json': components['schemas']['Body_delete_images_from_list'];
+        "application/json": components["schemas"]["Body_delete_images_from_list"];
       };
     };
     responses: {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['DeleteImagesFromListResult'];
+          "application/json": components["schemas"]["DeleteImagesFromListResult"];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
@@ -7633,20 +7157,20 @@ export type operations = {
   star_images_in_list: {
     requestBody: {
       content: {
-        'application/json': components['schemas']['Body_star_images_in_list'];
+        "application/json": components["schemas"]["Body_star_images_in_list"];
       };
     };
     responses: {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['ImagesUpdatedFromListResult'];
+          "application/json": components["schemas"]["ImagesUpdatedFromListResult"];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
@@ -7655,26 +7179,26 @@ export type operations = {
   unstar_images_in_list: {
     requestBody: {
       content: {
-        'application/json': components['schemas']['Body_unstar_images_in_list'];
+        "application/json": components["schemas"]["Body_unstar_images_in_list"];
       };
     };
     responses: {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['ImagesUpdatedFromListResult'];
+          "application/json": components["schemas"]["ImagesUpdatedFromListResult"];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * List Boards
+   * List Boards 
    * @description Gets a list of boards
    */
   list_boards: {
@@ -7692,21 +7216,19 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json':
-            | components['schemas']['OffsetPaginatedResults_BoardDTO_']
-            | components['schemas']['BoardDTO'][];
+          "application/json": components["schemas"]["OffsetPaginatedResults_BoardDTO_"] | (components["schemas"]["BoardDTO"])[];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Create Board
+   * Create Board 
    * @description Creates a board
    */
   create_board: {
@@ -7720,19 +7242,19 @@ export type operations = {
       /** @description The board was created successfully */
       201: {
         content: {
-          'application/json': components['schemas']['BoardDTO'];
+          "application/json": components["schemas"]["BoardDTO"];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Get Board
+   * Get Board 
    * @description Gets a board
    */
   get_board: {
@@ -7746,19 +7268,19 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['BoardDTO'];
+          "application/json": components["schemas"]["BoardDTO"];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Delete Board
+   * Delete Board 
    * @description Deletes a board
    */
   delete_board: {
@@ -7776,19 +7298,19 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['DeleteBoardResult'];
+          "application/json": components["schemas"]["DeleteBoardResult"];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Update Board
+   * Update Board 
    * @description Updates a board
    */
   update_board: {
@@ -7800,26 +7322,26 @@ export type operations = {
     };
     requestBody: {
       content: {
-        'application/json': components['schemas']['BoardChanges'];
+        "application/json": components["schemas"]["BoardChanges"];
       };
     };
     responses: {
       /** @description The board was updated successfully */
       201: {
         content: {
-          'application/json': components['schemas']['BoardDTO'];
+          "application/json": components["schemas"]["BoardDTO"];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * List All Board Image Names
+   * List All Board Image Names 
    * @description Gets a list of images for a board
    */
   list_all_board_image_names: {
@@ -7833,113 +7355,113 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': string[];
+          "application/json": (string)[];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Add Image To Board
+   * Add Image To Board 
    * @description Creates a board_image
    */
   add_image_to_board: {
     requestBody: {
       content: {
-        'application/json': components['schemas']['Body_add_image_to_board'];
+        "application/json": components["schemas"]["Body_add_image_to_board"];
       };
     };
     responses: {
       /** @description The image was added to a board successfully */
       201: {
         content: {
-          'application/json': unknown;
+          "application/json": unknown;
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Remove Image From Board
+   * Remove Image From Board 
    * @description Removes an image from its board, if it had one
    */
   remove_image_from_board: {
     requestBody: {
       content: {
-        'application/json': components['schemas']['Body_remove_image_from_board'];
+        "application/json": components["schemas"]["Body_remove_image_from_board"];
       };
     };
     responses: {
       /** @description The image was removed from the board successfully */
       201: {
         content: {
-          'application/json': unknown;
+          "application/json": unknown;
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Add Images To Board
+   * Add Images To Board 
    * @description Adds a list of images to a board
    */
   add_images_to_board: {
     requestBody: {
       content: {
-        'application/json': components['schemas']['Body_add_images_to_board'];
+        "application/json": components["schemas"]["Body_add_images_to_board"];
       };
     };
     responses: {
       /** @description Images were added to board successfully */
       201: {
         content: {
-          'application/json': components['schemas']['AddImagesToBoardResult'];
+          "application/json": components["schemas"]["AddImagesToBoardResult"];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
   };
   /**
-   * Remove Images From Board
+   * Remove Images From Board 
    * @description Removes a list of images from their board, if they had one
    */
   remove_images_from_board: {
     requestBody: {
       content: {
-        'application/json': components['schemas']['Body_remove_images_from_board'];
+        "application/json": components["schemas"]["Body_remove_images_from_board"];
       };
     };
     responses: {
       /** @description Images were removed from board successfully */
       201: {
         content: {
-          'application/json': components['schemas']['RemoveImagesFromBoardResult'];
+          "application/json": components["schemas"]["RemoveImagesFromBoardResult"];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };
@@ -7950,7 +7472,7 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['AppVersion'];
+          "application/json": components["schemas"]["AppVersion"];
         };
       };
     };
@@ -7961,13 +7483,13 @@ export type operations = {
       /** @description Successful Response */
       200: {
         content: {
-          'application/json': components['schemas']['AppConfig'];
+          "application/json": components["schemas"]["AppConfig"];
         };
       };
     };
   };
   /**
-   * Get Log Level
+   * Get Log Level 
    * @description Returns the log level
    */
   get_log_level: {
@@ -7975,32 +7497,32 @@ export type operations = {
       /** @description The operation was successful */
       200: {
         content: {
-          'application/json': components['schemas']['LogLevel'];
+          "application/json": components["schemas"]["LogLevel"];
         };
       };
     };
   };
   /**
-   * Set Log Level
+   * Set Log Level 
    * @description Sets the log verbosity level
    */
   set_log_level: {
     requestBody: {
       content: {
-        'application/json': components['schemas']['LogLevel'];
+        "application/json": components["schemas"]["LogLevel"];
       };
     };
     responses: {
       /** @description The operation was successful */
       200: {
         content: {
-          'application/json': components['schemas']['LogLevel'];
+          "application/json": components["schemas"]["LogLevel"];
         };
       };
       /** @description Validation Error */
       422: {
         content: {
-          'application/json': components['schemas']['HTTPValidationError'];
+          "application/json": components["schemas"]["HTTPValidationError"];
         };
       };
     };

From 21e1c0a5f0e0cbe7fa1ab08e45ba6e0d34423a19 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Tue, 15 Aug 2023 22:25:30 -0400
Subject: [PATCH 258/287] tweaked formatting

---
 invokeai/app/services/invocation_stats.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/services/invocation_stats.py b/invokeai/app/services/invocation_stats.py
index 4c1c65a998..1b2217e422 100644
--- a/invokeai/app/services/invocation_stats.py
+++ b/invokeai/app/services/invocation_stats.py
@@ -254,9 +254,9 @@ class InvocationStatsService(InvocationStatsServiceBase):
 
             total_time = 0
             logger.info(f"Graph stats: {graph_id}")
-            logger.info("Node                 Calls    Seconds VRAM Used")
+            logger.info(f"{'Node':>30} {'Calls':>7}{'Seconds':>9} {'VRAM Used':>10}")
             for node_type, stats in self._stats[graph_id].nodes.items():
-                logger.info(f"{node_type:<20} {stats.calls:>5}   {stats.time_used:7.3f}s     {stats.max_vram:4.3f}G")
+                logger.info(f"{node_type:>30}  {stats.calls:>4}   {stats.time_used:7.3f}s     {stats.max_vram:4.3f}G")
                 total_time += stats.time_used
 
             cache_stats = self._cache_stats[graph_id]

From e98d7a52d49deca19bc852dcdfc14d34f72bb062 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Wed, 16 Aug 2023 17:25:55 +1200
Subject: [PATCH 259/287] feat: Add Seam Painting Options

---
 invokeai/frontend/web/public/locales/en.json  |   6 +-
 .../Canvas/SeamPainting/ParamSeamBlur.tsx     |  36 ++++++
 .../ParamSeamPaintingCollapse.tsx             |  27 ++++
 .../Canvas/SeamPainting/ParamSeamSize.tsx     |  36 ++++++
 .../Canvas/SeamPainting/ParamSeamSteps.tsx    |  36 ++++++
 .../Canvas/SeamPainting/ParamSeamStrength.tsx |  36 ++++++
 .../SeamPainting/ParamSeamThreshold.tsx       | 121 ++++++++++++++++++
 .../parameters/store/generationSlice.ts       |  36 ++++++
 .../SDXLUnifiedCanvasTabParameters.tsx        |   2 +
 .../UnifiedCanvas/UnifiedCanvasParameters.tsx |   2 +
 10 files changed, 337 insertions(+), 1 deletion(-)
 create mode 100644 invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamBlur.tsx
 create mode 100644 invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamPaintingCollapse.tsx
 create mode 100644 invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamSize.tsx
 create mode 100644 invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamSteps.tsx
 create mode 100644 invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamStrength.tsx
 create mode 100644 invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamThreshold.tsx

diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index fbae5b4a30..f41da82e07 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -506,10 +506,14 @@
         "maskAdjustmentsHeader": "Mask Adjustments",
         "maskBlur": "Mask Blur",
         "maskBlurMethod": "Mask Blur Method",
+        "seamPaintingHeader": "Seam Painting",
         "seamSize": "Seam Size",
         "seamBlur": "Seam Blur",
-        "seamStrength": "Seam Strength",
         "seamSteps": "Seam Steps",
+        "seamStrength": "Seam Strength",
+        "seamThreshold": "Seam Threshold",
+        "seamLowThreshold": "Low",
+        "seamHighThreshold": "High",
         "scaleBeforeProcessing": "Scale Before Processing",
         "scaledWidth": "Scaled W",
         "scaledHeight": "Scaled H",
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamBlur.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamBlur.tsx
new file mode 100644
index 0000000000..2ab048ce72
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamBlur.tsx
@@ -0,0 +1,36 @@
+import type { RootState } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAISlider from 'common/components/IAISlider';
+import { setSeamBlur } from 'features/parameters/store/generationSlice';
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+
+const ParamSeamBlur = () => {
+  const dispatch = useAppDispatch();
+  const seamBlur = useAppSelector(
+    (state: RootState) => state.generation.seamBlur
+  );
+  const { t } = useTranslation();
+
+  return (
+    <IAISlider
+      label={t('parameters.seamBlur')}
+      min={0}
+      max={64}
+      step={8}
+      sliderNumberInputProps={{ max: 512 }}
+      value={seamBlur}
+      onChange={(v) => {
+        dispatch(setSeamBlur(v));
+      }}
+      withInput
+      withSliderMarks
+      withReset
+      handleReset={() => {
+        dispatch(setSeamBlur(8));
+      }}
+    />
+  );
+};
+
+export default memo(ParamSeamBlur);
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamPaintingCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamPaintingCollapse.tsx
new file mode 100644
index 0000000000..23e06797e5
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamPaintingCollapse.tsx
@@ -0,0 +1,27 @@
+import { Flex } from '@chakra-ui/react';
+import IAICollapse from 'common/components/IAICollapse';
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import ParamSeamBlur from './ParamSeamBlur';
+import ParamSeamSize from './ParamSeamSize';
+import ParamSeamSteps from './ParamSeamSteps';
+import ParamSeamStrength from './ParamSeamStrength';
+import ParamSeamThreshold from './ParamSeamThreshold';
+
+const ParamSeamPaintingCollapse = () => {
+  const { t } = useTranslation();
+
+  return (
+    <IAICollapse label={t('parameters.seamPaintingHeader')}>
+      <Flex sx={{ flexDirection: 'column', gap: 2, paddingBottom: 2 }}>
+        <ParamSeamSize />
+        <ParamSeamBlur />
+        <ParamSeamSteps />
+        <ParamSeamStrength />
+        <ParamSeamThreshold />
+      </Flex>
+    </IAICollapse>
+  );
+};
+
+export default memo(ParamSeamPaintingCollapse);
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamSize.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamSize.tsx
new file mode 100644
index 0000000000..841e9555fd
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamSize.tsx
@@ -0,0 +1,36 @@
+import type { RootState } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAISlider from 'common/components/IAISlider';
+import { setSeamSize } from 'features/parameters/store/generationSlice';
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+
+const ParamSeamSize = () => {
+  const dispatch = useAppDispatch();
+  const seamSize = useAppSelector(
+    (state: RootState) => state.generation.seamSize
+  );
+  const { t } = useTranslation();
+
+  return (
+    <IAISlider
+      label={t('parameters.seamSize')}
+      min={0}
+      max={128}
+      step={8}
+      sliderNumberInputProps={{ max: 512 }}
+      value={seamSize}
+      onChange={(v) => {
+        dispatch(setSeamSize(v));
+      }}
+      withInput
+      withSliderMarks
+      withReset
+      handleReset={() => {
+        dispatch(setSeamSize(16));
+      }}
+    />
+  );
+};
+
+export default memo(ParamSeamSize);
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamSteps.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamSteps.tsx
new file mode 100644
index 0000000000..e69339dbfe
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamSteps.tsx
@@ -0,0 +1,36 @@
+import type { RootState } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAISlider from 'common/components/IAISlider';
+import { setSeamSteps } from 'features/parameters/store/generationSlice';
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+
+const ParamSeamSteps = () => {
+  const dispatch = useAppDispatch();
+  const seamSteps = useAppSelector(
+    (state: RootState) => state.generation.seamSteps
+  );
+  const { t } = useTranslation();
+
+  return (
+    <IAISlider
+      label={t('parameters.seamSteps')}
+      min={0}
+      max={100}
+      step={1}
+      sliderNumberInputProps={{ max: 999 }}
+      value={seamSteps}
+      onChange={(v) => {
+        dispatch(setSeamSteps(v));
+      }}
+      withInput
+      withSliderMarks
+      withReset
+      handleReset={() => {
+        dispatch(setSeamSteps(20));
+      }}
+    />
+  );
+};
+
+export default memo(ParamSeamSteps);
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamStrength.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamStrength.tsx
new file mode 100644
index 0000000000..3f0fa01fcb
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamStrength.tsx
@@ -0,0 +1,36 @@
+import type { RootState } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAISlider from 'common/components/IAISlider';
+import { setSeamStrength } from 'features/parameters/store/generationSlice';
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+
+const ParamSeamStrength = () => {
+  const dispatch = useAppDispatch();
+  const seamStrength = useAppSelector(
+    (state: RootState) => state.generation.seamStrength
+  );
+  const { t } = useTranslation();
+
+  return (
+    <IAISlider
+      label={t('parameters.seamStrength')}
+      min={0}
+      max={1}
+      step={0.01}
+      sliderNumberInputProps={{ max: 999 }}
+      value={seamStrength}
+      onChange={(v) => {
+        dispatch(setSeamStrength(v));
+      }}
+      withInput
+      withSliderMarks
+      withReset
+      handleReset={() => {
+        dispatch(setSeamStrength(0.7));
+      }}
+    />
+  );
+};
+
+export default memo(ParamSeamStrength);
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamThreshold.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamThreshold.tsx
new file mode 100644
index 0000000000..f40491db98
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamThreshold.tsx
@@ -0,0 +1,121 @@
+import {
+  FormControl,
+  FormLabel,
+  HStack,
+  RangeSlider,
+  RangeSliderFilledTrack,
+  RangeSliderMark,
+  RangeSliderThumb,
+  RangeSliderTrack,
+  Tooltip,
+} from '@chakra-ui/react';
+import type { RootState } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAIIconButton from 'common/components/IAIIconButton';
+import {
+  setSeamHighThreshold,
+  setSeamLowThreshold,
+} from 'features/parameters/store/generationSlice';
+import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
+import { BiReset } from 'react-icons/bi';
+
+const ParamSeamThreshold = () => {
+  const dispatch = useAppDispatch();
+  const seamLowThreshold = useAppSelector(
+    (state: RootState) => state.generation.seamLowThreshold
+  );
+
+  const seamHighThreshold = useAppSelector(
+    (state: RootState) => state.generation.seamHighThreshold
+  );
+  const { t } = useTranslation();
+
+  const handleSeamThresholdChange = useCallback(
+    (v: number[]) => {
+      dispatch(setSeamLowThreshold(v[0] as number));
+      dispatch(setSeamHighThreshold(v[1] as number));
+    },
+    [dispatch]
+  );
+
+  const handleSeamThresholdReset = () => {
+    dispatch(setSeamLowThreshold(100));
+    dispatch(setSeamHighThreshold(200));
+  };
+
+  return (
+    <FormControl>
+      <FormLabel>{t('parameters.seamThreshold')}</FormLabel>
+      <HStack w="100%" gap={4} mt={-2}>
+        <RangeSlider
+          aria-label={[
+            t('parameters.seamLowThreshold'),
+            t('parameters.seamHighThreshold'),
+          ]}
+          value={[seamLowThreshold, seamHighThreshold]}
+          min={0}
+          max={255}
+          step={1}
+          minStepsBetweenThumbs={1}
+          onChange={handleSeamThresholdChange}
+        >
+          <RangeSliderTrack>
+            <RangeSliderFilledTrack />
+          </RangeSliderTrack>
+          <Tooltip label={seamLowThreshold} placement="top" hasArrow>
+            <RangeSliderThumb index={0} />
+          </Tooltip>
+          <Tooltip label={seamHighThreshold} placement="top" hasArrow>
+            <RangeSliderThumb index={1} />
+          </Tooltip>
+          <RangeSliderMark
+            value={0}
+            sx={{
+              insetInlineStart: '0 !important',
+              insetInlineEnd: 'unset !important',
+            }}
+          >
+            0
+          </RangeSliderMark>
+          <RangeSliderMark
+            value={0.392}
+            sx={{
+              insetInlineStart: '38.4% !important',
+              transform: 'translateX(-38.4%)',
+            }}
+          >
+            100
+          </RangeSliderMark>
+          <RangeSliderMark
+            value={0.784}
+            sx={{
+              insetInlineStart: '79.8% !important',
+              transform: 'translateX(-79.8%)',
+            }}
+          >
+            200
+          </RangeSliderMark>
+          <RangeSliderMark
+            value={1}
+            sx={{
+              insetInlineStart: 'unset !important',
+              insetInlineEnd: '0 !important',
+            }}
+          >
+            255
+          </RangeSliderMark>
+        </RangeSlider>
+        <IAIIconButton
+          size="sm"
+          aria-label={t('accessibility.reset')}
+          tooltip={t('accessibility.reset')}
+          icon={<BiReset />}
+          onClick={handleSeamThresholdReset}
+        />
+      </HStack>
+    </FormControl>
+  );
+};
+
+export default memo(ParamSeamThreshold);
diff --git a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
index 0173391833..d8495c5751 100644
--- a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
+++ b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
@@ -37,6 +37,12 @@ export interface GenerationState {
   scheduler: SchedulerParam;
   maskBlur: number;
   maskBlurMethod: MaskBlurMethodParam;
+  seamSize: number;
+  seamBlur: number;
+  seamSteps: number;
+  seamStrength: StrengthParam;
+  seamLowThreshold: number;
+  seamHighThreshold: number;
   seed: SeedParam;
   seedWeights: string;
   shouldFitToWidthHeight: boolean;
@@ -74,6 +80,12 @@ export const initialGenerationState: GenerationState = {
   scheduler: 'euler',
   maskBlur: 16,
   maskBlurMethod: 'box',
+  seamSize: 16,
+  seamBlur: 8,
+  seamSteps: 20,
+  seamStrength: 0.7,
+  seamLowThreshold: 100,
+  seamHighThreshold: 200,
   seed: 0,
   seedWeights: '',
   shouldFitToWidthHeight: true,
@@ -200,6 +212,24 @@ export const generationSlice = createSlice({
     setMaskBlurMethod: (state, action: PayloadAction<MaskBlurMethodParam>) => {
       state.maskBlurMethod = action.payload;
     },
+    setSeamSize: (state, action: PayloadAction<number>) => {
+      state.seamSize = action.payload;
+    },
+    setSeamBlur: (state, action: PayloadAction<number>) => {
+      state.seamBlur = action.payload;
+    },
+    setSeamSteps: (state, action: PayloadAction<number>) => {
+      state.seamSteps = action.payload;
+    },
+    setSeamStrength: (state, action: PayloadAction<number>) => {
+      state.seamStrength = action.payload;
+    },
+    setSeamLowThreshold: (state, action: PayloadAction<number>) => {
+      state.seamLowThreshold = action.payload;
+    },
+    setSeamHighThreshold: (state, action: PayloadAction<number>) => {
+      state.seamHighThreshold = action.payload;
+    },
     setTileSize: (state, action: PayloadAction<number>) => {
       state.tileSize = action.payload;
     },
@@ -306,6 +336,12 @@ export const {
   setScheduler,
   setMaskBlur,
   setMaskBlurMethod,
+  setSeamSize,
+  setSeamBlur,
+  setSeamSteps,
+  setSeamStrength,
+  setSeamLowThreshold,
+  setSeamHighThreshold,
   setSeed,
   setSeedWeights,
   setShouldFitToWidthHeight,
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx
index c6af754ad9..74833ebd70 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabParameters.tsx
@@ -2,6 +2,7 @@ import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/Para
 import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
 import ParamInfillAndScalingCollapse from 'features/parameters/components/Parameters/Canvas/InfillAndScaling/ParamInfillAndScalingCollapse';
 import ParamMaskAdjustmentCollapse from 'features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskAdjustmentCollapse';
+import ParamSeamPaintingCollapse from 'features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamPaintingCollapse';
 import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse';
 import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse';
 import ProcessButtons from 'features/parameters/components/ProcessButtons/ProcessButtons';
@@ -22,6 +23,7 @@ export default function SDXLUnifiedCanvasTabParameters() {
       <ParamNoiseCollapse />
       <ParamMaskAdjustmentCollapse />
       <ParamInfillAndScalingCollapse />
+      <ParamSeamPaintingCollapse />
     </>
   );
 }
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasParameters.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasParameters.tsx
index fcfffee48b..9e6dc8fef8 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasParameters.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasParameters.tsx
@@ -6,6 +6,7 @@ import ParamControlNetCollapse from 'features/parameters/components/Parameters/C
 import ParamSymmetryCollapse from 'features/parameters/components/Parameters/Symmetry/ParamSymmetryCollapse';
 // import ParamVariationCollapse from 'features/parameters/components/Parameters/Variations/ParamVariationCollapse';
 import ParamMaskAdjustmentCollapse from 'features/parameters/components/Parameters/Canvas/MaskAdjustment/ParamMaskAdjustmentCollapse';
+import ParamSeamPaintingCollapse from 'features/parameters/components/Parameters/Canvas/SeamPainting/ParamSeamPaintingCollapse';
 import ParamPromptArea from 'features/parameters/components/Parameters/Prompt/ParamPromptArea';
 import ProcessButtons from 'features/parameters/components/ProcessButtons/ProcessButtons';
 import UnifiedCanvasCoreParameters from './UnifiedCanvasCoreParameters';
@@ -23,6 +24,7 @@ const UnifiedCanvasParameters = () => {
       <ParamSymmetryCollapse />
       <ParamMaskAdjustmentCollapse />
       <ParamInfillAndScalingCollapse />
+      <ParamSeamPaintingCollapse />
       <ParamAdvancedCollapse />
     </>
   );

From f2ee8a3da8ff078b32fb209ea9af216405faf482 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Wed, 16 Aug 2023 17:26:23 +1200
Subject: [PATCH 260/287] wip: Basic Seam Painting (only normal models) (no
 scale)

---
 .../graphBuilders/buildCanvasOutpaintGraph.ts | 133 +++++++++++++++++-
 .../nodes/util/graphBuilders/constants.ts     |   4 +-
 2 files changed, 130 insertions(+), 7 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
index b9c3d5e28e..587ede0350 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
@@ -32,6 +32,7 @@ import {
   MAIN_MODEL_LOADER,
   MASK_BLUR,
   MASK_COMBINE,
+  MASK_EDGE,
   MASK_FROM_ALPHA,
   MASK_RESIZE_DOWN,
   MASK_RESIZE_UP,
@@ -40,6 +41,8 @@ import {
   POSITIVE_CONDITIONING,
   RANDOM_INT,
   RANGE_OF_SIZE,
+  SEAM_FIX_DENOISE_LATENTS,
+  SEAM_MASK_COMBINE,
 } from './constants';
 
 /**
@@ -67,6 +70,12 @@ export const buildCanvasOutpaintGraph = (
     shouldUseCpuNoise,
     maskBlur,
     maskBlurMethod,
+    seamSize,
+    seamBlur,
+    seamSteps,
+    seamStrength,
+    seamLowThreshold,
+    seamHighThreshold,
     tileSize,
     infillMethod,
     clipSkip,
@@ -130,6 +139,11 @@ export const buildCanvasOutpaintGraph = (
         is_intermediate: true,
         mask2: canvasMaskImage,
       },
+      [SEAM_MASK_COMBINE]: {
+        type: 'mask_combine',
+        id: MASK_COMBINE,
+        is_intermediate: true,
+      },
       [MASK_BLUR]: {
         type: 'img_blur',
         id: MASK_BLUR,
@@ -165,6 +179,25 @@ export const buildCanvasOutpaintGraph = (
         denoising_start: 1 - strength,
         denoising_end: 1,
       },
+      [MASK_EDGE]: {
+        type: 'mask_edge',
+        id: MASK_EDGE,
+        is_intermediate: true,
+        edge_size: seamSize,
+        edge_blur: seamBlur,
+        low_threshold: seamLowThreshold,
+        high_threshold: seamHighThreshold,
+      },
+      [SEAM_FIX_DENOISE_LATENTS]: {
+        type: 'denoise_latents',
+        id: SEAM_FIX_DENOISE_LATENTS,
+        is_intermediate: true,
+        steps: seamSteps,
+        cfg_scale: cfg_scale,
+        scheduler: scheduler,
+        denoising_start: 1 - seamStrength,
+        denoising_end: 1,
+      },
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
@@ -333,12 +366,63 @@ export const buildCanvasOutpaintGraph = (
           field: 'seed',
         },
       },
-      // Decode the result from Inpaint
+      // Seam Paint
+      {
+        source: {
+          node_id: MAIN_MODEL_LOADER,
+          field: 'unet',
+        },
+        destination: {
+          node_id: SEAM_FIX_DENOISE_LATENTS,
+          field: 'unet',
+        },
+      },
+      {
+        source: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: SEAM_FIX_DENOISE_LATENTS,
+          field: 'positive_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: SEAM_FIX_DENOISE_LATENTS,
+          field: 'negative_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: NOISE,
+          field: 'noise',
+        },
+        destination: {
+          node_id: SEAM_FIX_DENOISE_LATENTS,
+          field: 'noise',
+        },
+      },
       {
         source: {
           node_id: DENOISE_LATENTS,
           field: 'latents',
         },
+        destination: {
+          node_id: SEAM_FIX_DENOISE_LATENTS,
+          field: 'latents',
+        },
+      },
+      // Decode the result from Inpaint
+      {
+        source: {
+          node_id: SEAM_FIX_DENOISE_LATENTS,
+          field: 'latents',
+        },
         destination: {
           node_id: LATENTS_TO_IMAGE,
           field: 'latents',
@@ -348,7 +432,6 @@ export const buildCanvasOutpaintGraph = (
   };
 
   // Add Infill Nodes
-
   if (infillMethod === 'patchmatch') {
     graph.nodes[INPAINT_INFILL] = {
       type: 'infill_patchmatch',
@@ -553,7 +636,6 @@ export const buildCanvasOutpaintGraph = (
     };
     graph.nodes[MASK_BLUR] = {
       ...(graph.nodes[MASK_BLUR] as ImageBlurInvocation),
-      image: canvasMaskImage,
     };
 
     graph.edges.push(
@@ -568,6 +650,47 @@ export const buildCanvasOutpaintGraph = (
           field: 'image',
         },
       },
+      // Seam Paint Mask
+      {
+        source: {
+          node_id: MASK_FROM_ALPHA,
+          field: 'image',
+        },
+        destination: {
+          node_id: MASK_EDGE,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_EDGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: SEAM_FIX_DENOISE_LATENTS,
+          field: 'mask',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_FROM_ALPHA,
+          field: 'image',
+        },
+        destination: {
+          node_id: SEAM_MASK_COMBINE,
+          field: 'mask1',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_EDGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: SEAM_MASK_COMBINE,
+          field: 'mask2',
+        },
+      },
       // Color Correct The Inpainted Result
       {
         source: {
@@ -591,7 +714,7 @@ export const buildCanvasOutpaintGraph = (
       },
       {
         source: {
-          node_id: MASK_BLUR,
+          node_id: SEAM_MASK_COMBINE,
           field: 'image',
         },
         destination: {
@@ -622,7 +745,7 @@ export const buildCanvasOutpaintGraph = (
       },
       {
         source: {
-          node_id: MASK_BLUR,
+          node_id: SEAM_MASK_COMBINE,
           field: 'image',
         },
         destination: {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index 3e213120b3..48d759a6e3 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -18,8 +18,6 @@ export const IMAGE_TO_LATENTS = 'image_to_latents';
 export const LATENTS_TO_LATENTS = 'latents_to_latents';
 export const RESIZE = 'resize_image';
 export const CANVAS_OUTPUT = 'canvas_output';
-export const INPAINT = 'inpaint';
-export const INPAINT_SEAM_FIX = 'inpaint_seam_fix';
 export const INPAINT_IMAGE = 'inpaint_image';
 export const SCALED_INPAINT_IMAGE = 'scaled_inpaint_image';
 export const INPAINT_IMAGE_RESIZE_UP = 'inpaint_image_resize_up';
@@ -27,10 +25,12 @@ export const INPAINT_IMAGE_RESIZE_DOWN = 'inpaint_image_resize_down';
 export const INPAINT_INFILL = 'inpaint_infill';
 export const INPAINT_INFILL_RESIZE_DOWN = 'inpaint_infill_resize_down';
 export const INPAINT_FINAL_IMAGE = 'inpaint_final_image';
+export const SEAM_FIX_DENOISE_LATENTS = 'seam_fix_denoise_latents';
 export const MASK_FROM_ALPHA = 'tomask';
 export const MASK_EDGE = 'mask_edge';
 export const MASK_BLUR = 'mask_blur';
 export const MASK_COMBINE = 'mask_combine';
+export const SEAM_MASK_COMBINE = 'seam_mask_combine';
 export const MASK_RESIZE_UP = 'mask_resize_up';
 export const MASK_RESIZE_DOWN = 'mask_resize_down';
 export const COLOR_CORRECT = 'color_correct';

From cc7c6e5d4161136a0faf13c1c29833cfb35abf96 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Wed, 16 Aug 2023 19:35:03 +1200
Subject: [PATCH 261/287] feat: Add Seam Painting with Scale Before

---
 .../graphBuilders/buildCanvasOutpaintGraph.ts | 83 ++++++++++++++++++-
 .../nodes/util/graphBuilders/constants.ts     |  2 +
 2 files changed, 82 insertions(+), 3 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
index 587ede0350..a949c88e5f 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasOutpaintGraph.ts
@@ -43,6 +43,8 @@ import {
   RANGE_OF_SIZE,
   SEAM_FIX_DENOISE_LATENTS,
   SEAM_MASK_COMBINE,
+  SEAM_MASK_RESIZE_DOWN,
+  SEAM_MASK_RESIZE_UP,
 } from './constants';
 
 /**
@@ -461,6 +463,13 @@ export const buildCanvasOutpaintGraph = (
       width: scaledWidth,
       height: scaledHeight,
     };
+    graph.nodes[SEAM_MASK_RESIZE_UP] = {
+      type: 'img_resize',
+      id: SEAM_MASK_RESIZE_UP,
+      is_intermediate: true,
+      width: scaledWidth,
+      height: scaledHeight,
+    };
     graph.nodes[INPAINT_IMAGE_RESIZE_DOWN] = {
       type: 'img_resize',
       id: INPAINT_IMAGE_RESIZE_DOWN,
@@ -482,6 +491,13 @@ export const buildCanvasOutpaintGraph = (
       width: width,
       height: height,
     };
+    graph.nodes[SEAM_MASK_RESIZE_DOWN] = {
+      type: 'img_resize',
+      id: SEAM_MASK_RESIZE_DOWN,
+      is_intermediate: true,
+      width: width,
+      height: height,
+    };
 
     graph.nodes[NOISE] = {
       ...(graph.nodes[NOISE] as NoiseInvocation),
@@ -523,6 +539,57 @@ export const buildCanvasOutpaintGraph = (
           field: 'image',
         },
       },
+      // Seam Paint Mask
+      {
+        source: {
+          node_id: MASK_FROM_ALPHA,
+          field: 'image',
+        },
+        destination: {
+          node_id: MASK_EDGE,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_EDGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: SEAM_MASK_RESIZE_UP,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: SEAM_MASK_RESIZE_UP,
+          field: 'image',
+        },
+        destination: {
+          node_id: SEAM_FIX_DENOISE_LATENTS,
+          field: 'mask',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+        destination: {
+          node_id: SEAM_MASK_COMBINE,
+          field: 'mask1',
+        },
+      },
+      {
+        source: {
+          node_id: SEAM_MASK_RESIZE_UP,
+          field: 'image',
+        },
+        destination: {
+          node_id: SEAM_MASK_COMBINE,
+          field: 'mask2',
+        },
+      },
       // Resize Results Down
       {
         source: {
@@ -536,7 +603,7 @@ export const buildCanvasOutpaintGraph = (
       },
       {
         source: {
-          node_id: MASK_BLUR,
+          node_id: MASK_RESIZE_UP,
           field: 'image',
         },
         destination: {
@@ -544,6 +611,16 @@ export const buildCanvasOutpaintGraph = (
           field: 'image',
         },
       },
+      {
+        source: {
+          node_id: SEAM_MASK_COMBINE,
+          field: 'image',
+        },
+        destination: {
+          node_id: SEAM_MASK_RESIZE_DOWN,
+          field: 'image',
+        },
+      },
       {
         source: {
           node_id: INPAINT_INFILL,
@@ -577,7 +654,7 @@ export const buildCanvasOutpaintGraph = (
       },
       {
         source: {
-          node_id: MASK_RESIZE_DOWN,
+          node_id: SEAM_MASK_RESIZE_DOWN,
           field: 'image',
         },
         destination: {
@@ -608,7 +685,7 @@ export const buildCanvasOutpaintGraph = (
       },
       {
         source: {
-          node_id: MASK_RESIZE_DOWN,
+          node_id: SEAM_MASK_RESIZE_DOWN,
           field: 'image',
         },
         destination: {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index 48d759a6e3..1f6acd4e26 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -31,6 +31,8 @@ export const MASK_EDGE = 'mask_edge';
 export const MASK_BLUR = 'mask_blur';
 export const MASK_COMBINE = 'mask_combine';
 export const SEAM_MASK_COMBINE = 'seam_mask_combine';
+export const SEAM_MASK_RESIZE_UP = 'seam_mask_resize_up';
+export const SEAM_MASK_RESIZE_DOWN = 'seam_mask_resize_down';
 export const MASK_RESIZE_UP = 'mask_resize_up';
 export const MASK_RESIZE_DOWN = 'mask_resize_down';
 export const COLOR_CORRECT = 'color_correct';

From 9cbaefaa8139352da24dc017e6d0b437126c4e66 Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Wed, 16 Aug 2023 19:46:48 +1200
Subject: [PATCH 262/287] feat: Add Seam Painting to SDXL

---
 .../buildCanvasSDXLOutpaintGraph.ts           | 217 +++++++++++++++++-
 1 file changed, 209 insertions(+), 8 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
index 4d098f959f..1cc268c03d 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildCanvasSDXLOutpaintGraph.ts
@@ -29,6 +29,7 @@ import {
   LATENTS_TO_IMAGE,
   MASK_BLUR,
   MASK_COMBINE,
+  MASK_EDGE,
   MASK_FROM_ALPHA,
   MASK_RESIZE_DOWN,
   MASK_RESIZE_UP,
@@ -40,6 +41,10 @@ import {
   SDXL_CANVAS_OUTPAINT_GRAPH,
   SDXL_DENOISE_LATENTS,
   SDXL_MODEL_LOADER,
+  SEAM_FIX_DENOISE_LATENTS,
+  SEAM_MASK_COMBINE,
+  SEAM_MASK_RESIZE_DOWN,
+  SEAM_MASK_RESIZE_UP,
 } from './constants';
 import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
 
@@ -67,6 +72,12 @@ export const buildCanvasSDXLOutpaintGraph = (
     shouldUseCpuNoise,
     maskBlur,
     maskBlurMethod,
+    seamSize,
+    seamBlur,
+    seamSteps,
+    seamStrength,
+    seamLowThreshold,
+    seamHighThreshold,
     tileSize,
     infillMethod,
   } = state.generation;
@@ -133,6 +144,11 @@ export const buildCanvasSDXLOutpaintGraph = (
         is_intermediate: true,
         mask2: canvasMaskImage,
       },
+      [SEAM_MASK_COMBINE]: {
+        type: 'mask_combine',
+        id: MASK_COMBINE,
+        is_intermediate: true,
+      },
       [MASK_BLUR]: {
         type: 'img_blur',
         id: MASK_BLUR,
@@ -170,6 +186,25 @@ export const buildCanvasSDXLOutpaintGraph = (
           : 1 - strength,
         denoising_end: shouldUseSDXLRefiner ? refinerStart : 1,
       },
+      [MASK_EDGE]: {
+        type: 'mask_edge',
+        id: MASK_EDGE,
+        is_intermediate: true,
+        edge_size: seamSize,
+        edge_blur: seamBlur,
+        low_threshold: seamLowThreshold,
+        high_threshold: seamHighThreshold,
+      },
+      [SEAM_FIX_DENOISE_LATENTS]: {
+        type: 'denoise_latents',
+        id: SEAM_FIX_DENOISE_LATENTS,
+        is_intermediate: true,
+        steps: seamSteps,
+        cfg_scale: cfg_scale,
+        scheduler: scheduler,
+        denoising_start: 1 - seamStrength,
+        denoising_end: 1,
+      },
       [LATENTS_TO_IMAGE]: {
         type: 'l2i',
         id: LATENTS_TO_IMAGE,
@@ -347,12 +382,63 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'seed',
         },
       },
-      // Decode inpainted latents to image
+      // Seam Paint
+      {
+        source: {
+          node_id: SDXL_MODEL_LOADER,
+          field: 'unet',
+        },
+        destination: {
+          node_id: SEAM_FIX_DENOISE_LATENTS,
+          field: 'unet',
+        },
+      },
+      {
+        source: {
+          node_id: POSITIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: SEAM_FIX_DENOISE_LATENTS,
+          field: 'positive_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: NEGATIVE_CONDITIONING,
+          field: 'conditioning',
+        },
+        destination: {
+          node_id: SEAM_FIX_DENOISE_LATENTS,
+          field: 'negative_conditioning',
+        },
+      },
+      {
+        source: {
+          node_id: NOISE,
+          field: 'noise',
+        },
+        destination: {
+          node_id: SEAM_FIX_DENOISE_LATENTS,
+          field: 'noise',
+        },
+      },
       {
         source: {
           node_id: SDXL_DENOISE_LATENTS,
           field: 'latents',
         },
+        destination: {
+          node_id: SEAM_FIX_DENOISE_LATENTS,
+          field: 'latents',
+        },
+      },
+      // Decode inpainted latents to image
+      {
+        source: {
+          node_id: SEAM_FIX_DENOISE_LATENTS,
+          field: 'latents',
+        },
         destination: {
           node_id: LATENTS_TO_IMAGE,
           field: 'latents',
@@ -392,6 +478,13 @@ export const buildCanvasSDXLOutpaintGraph = (
       width: scaledWidth,
       height: scaledHeight,
     };
+    graph.nodes[SEAM_MASK_RESIZE_UP] = {
+      type: 'img_resize',
+      id: SEAM_MASK_RESIZE_UP,
+      is_intermediate: true,
+      width: scaledWidth,
+      height: scaledHeight,
+    };
     graph.nodes[INPAINT_IMAGE_RESIZE_DOWN] = {
       type: 'img_resize',
       id: INPAINT_IMAGE_RESIZE_DOWN,
@@ -413,6 +506,13 @@ export const buildCanvasSDXLOutpaintGraph = (
       width: width,
       height: height,
     };
+    graph.nodes[SEAM_MASK_RESIZE_DOWN] = {
+      type: 'img_resize',
+      id: SEAM_MASK_RESIZE_DOWN,
+      is_intermediate: true,
+      width: width,
+      height: height,
+    };
 
     graph.nodes[NOISE] = {
       ...(graph.nodes[NOISE] as NoiseInvocation),
@@ -454,6 +554,57 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'image',
         },
       },
+      // Seam Paint Mask
+      {
+        source: {
+          node_id: MASK_FROM_ALPHA,
+          field: 'image',
+        },
+        destination: {
+          node_id: MASK_EDGE,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_EDGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: SEAM_MASK_RESIZE_UP,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: SEAM_MASK_RESIZE_UP,
+          field: 'image',
+        },
+        destination: {
+          node_id: SEAM_FIX_DENOISE_LATENTS,
+          field: 'mask',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_BLUR,
+          field: 'image',
+        },
+        destination: {
+          node_id: SEAM_MASK_COMBINE,
+          field: 'mask1',
+        },
+      },
+      {
+        source: {
+          node_id: SEAM_MASK_RESIZE_UP,
+          field: 'image',
+        },
+        destination: {
+          node_id: SEAM_MASK_COMBINE,
+          field: 'mask2',
+        },
+      },
       // Resize Results Down
       {
         source: {
@@ -467,7 +618,7 @@ export const buildCanvasSDXLOutpaintGraph = (
       },
       {
         source: {
-          node_id: MASK_BLUR,
+          node_id: MASK_RESIZE_UP,
           field: 'image',
         },
         destination: {
@@ -475,6 +626,16 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'image',
         },
       },
+      {
+        source: {
+          node_id: SEAM_MASK_COMBINE,
+          field: 'image',
+        },
+        destination: {
+          node_id: SEAM_MASK_RESIZE_DOWN,
+          field: 'image',
+        },
+      },
       {
         source: {
           node_id: INPAINT_INFILL,
@@ -508,7 +669,7 @@ export const buildCanvasSDXLOutpaintGraph = (
       },
       {
         source: {
-          node_id: MASK_RESIZE_DOWN,
+          node_id: SEAM_MASK_RESIZE_DOWN,
           field: 'image',
         },
         destination: {
@@ -539,7 +700,7 @@ export const buildCanvasSDXLOutpaintGraph = (
       },
       {
         source: {
-          node_id: MASK_RESIZE_DOWN,
+          node_id: SEAM_MASK_RESIZE_DOWN,
           field: 'image',
         },
         destination: {
@@ -567,7 +728,6 @@ export const buildCanvasSDXLOutpaintGraph = (
     };
     graph.nodes[MASK_BLUR] = {
       ...(graph.nodes[MASK_BLUR] as ImageBlurInvocation),
-      image: canvasMaskImage,
     };
 
     graph.edges.push(
@@ -582,6 +742,47 @@ export const buildCanvasSDXLOutpaintGraph = (
           field: 'image',
         },
       },
+      // Seam Paint Mask
+      {
+        source: {
+          node_id: MASK_FROM_ALPHA,
+          field: 'image',
+        },
+        destination: {
+          node_id: MASK_EDGE,
+          field: 'image',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_EDGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: SEAM_FIX_DENOISE_LATENTS,
+          field: 'mask',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_FROM_ALPHA,
+          field: 'image',
+        },
+        destination: {
+          node_id: SEAM_MASK_COMBINE,
+          field: 'mask1',
+        },
+      },
+      {
+        source: {
+          node_id: MASK_EDGE,
+          field: 'image',
+        },
+        destination: {
+          node_id: SEAM_MASK_COMBINE,
+          field: 'mask2',
+        },
+      },
       // Color Correct The Inpainted Result
       {
         source: {
@@ -605,7 +806,7 @@ export const buildCanvasSDXLOutpaintGraph = (
       },
       {
         source: {
-          node_id: MASK_BLUR,
+          node_id: SEAM_MASK_COMBINE,
           field: 'image',
         },
         destination: {
@@ -636,7 +837,7 @@ export const buildCanvasSDXLOutpaintGraph = (
       },
       {
         source: {
-          node_id: MASK_BLUR,
+          node_id: SEAM_MASK_COMBINE,
           field: 'image',
         },
         destination: {
@@ -669,7 +870,7 @@ export const buildCanvasSDXLOutpaintGraph = (
 
   // Add Refiner if enabled
   if (shouldUseSDXLRefiner) {
-    addSDXLRefinerToGraph(state, graph, SDXL_DENOISE_LATENTS);
+    addSDXLRefinerToGraph(state, graph, SEAM_FIX_DENOISE_LATENTS);
   }
 
   // optionally add custom VAE

From bb1b8ceaa8de08809e56db4e866890410c30a882 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lincoln.stein@gmail.com>
Date: Wed, 16 Aug 2023 08:48:44 -0400
Subject: [PATCH 263/287] Update
 invokeai/backend/model_management/model_cache.py

Co-authored-by: StAlKeR7779 <stalkek7779@yandex.ru>
---
 invokeai/backend/model_management/model_cache.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/backend/model_management/model_cache.py b/invokeai/backend/model_management/model_cache.py
index e83fd68102..a11e0a8a8f 100644
--- a/invokeai/backend/model_management/model_cache.py
+++ b/invokeai/backend/model_management/model_cache.py
@@ -226,7 +226,7 @@ class ModelCache(object):
             self.stats.high_watermark = max(self.stats.high_watermark, self._cache_size())
             self.stats.in_cache = len(self._cached_models)
             self.stats.loaded_model_sizes[key] = max(
-                self.stats.loaded_model_sizes.get("key", 0), model_info.get_size(submodel)
+                self.stats.loaded_model_sizes.get(key, 0), model_info.get_size(submodel)
             )
 
         with suppress(Exception):

From a93bd013537bd4278012f79ed04583d4717495ac Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 16 Aug 2023 08:53:07 -0400
Subject: [PATCH 264/287] fix bad merge

---
 invokeai/app/services/invocation_stats.py | 3 ++-
 invokeai/app/services/processor.py        | 2 +-
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/invokeai/app/services/invocation_stats.py b/invokeai/app/services/invocation_stats.py
index 1b2217e422..b49084e6fe 100644
--- a/invokeai/app/services/invocation_stats.py
+++ b/invokeai/app/services/invocation_stats.py
@@ -171,7 +171,8 @@ class InvocationStatsService(InvocationStatsServiceBase):
             if torch.cuda.is_available():
                 torch.cuda.reset_peak_memory_stats()
             self.ram_used = psutil.Process().memory_info().rss
-            self.model_manager.collect_cache_stats(self.collector._cache_stats[self.graph_id])
+            if self.model_manager:
+                self.model_manager.collect_cache_stats(self.collector._cache_stats[self.graph_id])
 
         def __exit__(self, *args):
             """Called on exit from the context."""
diff --git a/invokeai/app/services/processor.py b/invokeai/app/services/processor.py
index dba8ae8906..37da17d318 100644
--- a/invokeai/app/services/processor.py
+++ b/invokeai/app/services/processor.py
@@ -88,7 +88,7 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
                 try:
                     graph_id = graph_execution_state.id
                     model_manager = self.__invoker.services.model_manager
-                    with statistics.collect_stats(invocation, graph_id model_manager):
+                    with statistics.collect_stats(invocation, graph_id, model_manager):
                         # use the internal invoke_internal(), which wraps the node's invoke() method in
                         # this accomodates nodes which require a value, but get it only from a
                         # connection

From 43b30355e42ff6c5c2056db9d19a568b9897e7d5 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 16 Aug 2023 17:18:58 +1000
Subject: [PATCH 265/287] feat: make primitive node titles consistent

---
 invokeai/app/invocations/primitives.py        | 22 +++----
 .../frontend/web/src/services/api/schema.d.ts | 58 +++++++++----------
 2 files changed, 40 insertions(+), 40 deletions(-)

diff --git a/invokeai/app/invocations/primitives.py b/invokeai/app/invocations/primitives.py
index 398be04738..61ef9fa27c 100644
--- a/invokeai/app/invocations/primitives.py
+++ b/invokeai/app/invocations/primitives.py
@@ -48,7 +48,7 @@ class BooleanCollectionOutput(BaseInvocationOutput):
     )
 
 
-@title("Boolean")
+@title("Boolean Primitive")
 @tags("primitives", "boolean")
 class BooleanInvocation(BaseInvocation):
     """A boolean primitive value"""
@@ -62,7 +62,7 @@ class BooleanInvocation(BaseInvocation):
         return BooleanOutput(a=self.a)
 
 
-@title("Boolean Collection")
+@title("Boolean Primitive Collection")
 @tags("primitives", "boolean", "collection")
 class BooleanCollectionInvocation(BaseInvocation):
     """A collection of boolean primitive values"""
@@ -101,7 +101,7 @@ class IntegerCollectionOutput(BaseInvocationOutput):
     )
 
 
-@title("Integer")
+@title("Integer Primitive")
 @tags("primitives", "integer")
 class IntegerInvocation(BaseInvocation):
     """An integer primitive value"""
@@ -115,7 +115,7 @@ class IntegerInvocation(BaseInvocation):
         return IntegerOutput(a=self.a)
 
 
-@title("Integer Collection")
+@title("Integer Primitive Collection")
 @tags("primitives", "integer", "collection")
 class IntegerCollectionInvocation(BaseInvocation):
     """A collection of integer primitive values"""
@@ -154,7 +154,7 @@ class FloatCollectionOutput(BaseInvocationOutput):
     )
 
 
-@title("Float")
+@title("Float Primitive")
 @tags("primitives", "float")
 class FloatInvocation(BaseInvocation):
     """A float primitive value"""
@@ -168,7 +168,7 @@ class FloatInvocation(BaseInvocation):
         return FloatOutput(a=self.param)
 
 
-@title("Float Collection")
+@title("Float Primitive Collection")
 @tags("primitives", "float", "collection")
 class FloatCollectionInvocation(BaseInvocation):
     """A collection of float primitive values"""
@@ -207,7 +207,7 @@ class StringCollectionOutput(BaseInvocationOutput):
     )
 
 
-@title("String")
+@title("String Primitive")
 @tags("primitives", "string")
 class StringInvocation(BaseInvocation):
     """A string primitive value"""
@@ -221,7 +221,7 @@ class StringInvocation(BaseInvocation):
         return StringOutput(text=self.text)
 
 
-@title("String Collection")
+@title("String Primitive Collection")
 @tags("primitives", "string", "collection")
 class StringCollectionInvocation(BaseInvocation):
     """A collection of string primitive values"""
@@ -289,7 +289,7 @@ class ImageInvocation(BaseInvocation):
         )
 
 
-@title("Image Collection")
+@title("Image Primitive Collection")
 @tags("primitives", "image", "collection")
 class ImageCollectionInvocation(BaseInvocation):
     """A collection of image primitive values"""
@@ -357,7 +357,7 @@ class LatentsInvocation(BaseInvocation):
         return build_latents_output(self.latents.latents_name, latents)
 
 
-@title("Latents Collection")
+@title("Latents Primitive Collection")
 @tags("primitives", "latents", "collection")
 class LatentsCollectionInvocation(BaseInvocation):
     """A collection of latents tensor primitive values"""
@@ -475,7 +475,7 @@ class ConditioningInvocation(BaseInvocation):
         return ConditioningOutput(conditioning=self.conditioning)
 
 
-@title("Conditioning Collection")
+@title("Conditioning Primitive Collection")
 @tags("primitives", "conditioning", "collection")
 class ConditioningCollectionInvocation(BaseInvocation):
     """A collection of conditioning tensor primitive values"""
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index bd93b2f952..316ee0c085 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -573,7 +573,7 @@ export type components = {
       file: Blob;
     };
     /**
-     * Boolean Collection 
+     * Boolean Primitive Collection 
      * @description A collection of boolean primitive values
      */
     BooleanCollectionInvocation: {
@@ -619,7 +619,7 @@ export type components = {
       collection?: (boolean)[];
     };
     /**
-     * Boolean 
+     * Boolean Primitive 
      * @description A boolean primitive value
      */
     BooleanInvocation: {
@@ -1002,7 +1002,7 @@ export type components = {
       clip?: components["schemas"]["ClipField"];
     };
     /**
-     * Conditioning Collection 
+     * Conditioning Primitive Collection 
      * @description A collection of conditioning tensor primitive values
      */
     ConditioningCollectionInvocation: {
@@ -1770,7 +1770,7 @@ export type components = {
       field: string;
     };
     /**
-     * Float Collection 
+     * Float Primitive Collection 
      * @description A collection of float primitive values
      */
     FloatCollectionInvocation: {
@@ -1816,7 +1816,7 @@ export type components = {
       collection?: (number)[];
     };
     /**
-     * Float 
+     * Float Primitive 
      * @description A float primitive value
      */
     FloatInvocation: {
@@ -2161,7 +2161,7 @@ export type components = {
       channel?: "A" | "R" | "G" | "B";
     };
     /**
-     * Image Collection 
+     * Image Primitive Collection 
      * @description A collection of image primitive values
      */
     ImageCollectionInvocation: {
@@ -3113,7 +3113,7 @@ export type components = {
       seed?: number;
     };
     /**
-     * Integer Collection 
+     * Integer Primitive Collection 
      * @description A collection of integer primitive values
      */
     IntegerCollectionInvocation: {
@@ -3159,7 +3159,7 @@ export type components = {
       collection?: (number)[];
     };
     /**
-     * Integer 
+     * Integer Primitive 
      * @description An integer primitive value
      */
     IntegerInvocation: {
@@ -3256,7 +3256,7 @@ export type components = {
       item?: unknown;
     };
     /**
-     * Latents Collection 
+     * Latents Primitive Collection 
      * @description A collection of latents tensor primitive values
      */
     LatentsCollectionInvocation: {
@@ -5786,7 +5786,7 @@ export type components = {
       show_easing_plot?: boolean;
     };
     /**
-     * String Collection 
+     * String Primitive Collection 
      * @description A collection of string primitive values
      */
     StringCollectionInvocation: {
@@ -5832,7 +5832,7 @@ export type components = {
       collection?: (string)[];
     };
     /**
-     * String 
+     * String Primitive 
      * @description A string primitive value
      */
     StringInvocation: {
@@ -6193,24 +6193,6 @@ export type components = {
       ui_hidden: boolean;
       ui_type?: components["schemas"]["UIType"];
     };
-    /**
-     * StableDiffusion2ModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
-    /**
-     * ControlNetModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusionXLModelFormat 
-     * @description An enumeration. 
-     * @enum {string}
-     */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionOnnxModelFormat 
      * @description An enumeration. 
@@ -6223,6 +6205,24 @@ export type components = {
      * @enum {string}
      */
     StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * ControlNetModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    ControlNetModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusion2ModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusionXLModelFormat 
+     * @description An enumeration. 
+     * @enum {string}
+     */
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;

From 70b8c3dfea7b13991ad33517859ce2dd5cbd2678 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 16 Aug 2023 18:28:51 +1000
Subject: [PATCH 266/287] fix(ui): fix context menu on workflow editor

There is a tricky mouse event interaction between chakra's `useOutsideClick()` hook (used by chakra `<Menu />`) and reactflow. The hook doesn't work when you click the main reactflow area.

To get around this, I've used a dirty hack, copy-pasting the simple context menu component we use, and extending it slightly to respond to a global `contextMenusClosed` redux action.
---
 .../src/common/components/IAIContextMenu.tsx  | 126 ++++++++++++++++++
 .../web/src/common/components/IAIDndImage.tsx |  27 ++--
 .../ImageContextMenu/ImageContextMenu.tsx     |  11 +-
 .../src/features/nodes/components/Flow.tsx    |   6 +
 .../features/ui/store/uiPersistDenylist.ts    |   5 +-
 .../web/src/features/ui/store/uiSlice.ts      |   5 +
 .../web/src/features/ui/store/uiTypes.ts      |   1 +
 7 files changed, 167 insertions(+), 14 deletions(-)
 create mode 100644 invokeai/frontend/web/src/common/components/IAIContextMenu.tsx

diff --git a/invokeai/frontend/web/src/common/components/IAIContextMenu.tsx b/invokeai/frontend/web/src/common/components/IAIContextMenu.tsx
new file mode 100644
index 0000000000..757faca866
--- /dev/null
+++ b/invokeai/frontend/web/src/common/components/IAIContextMenu.tsx
@@ -0,0 +1,126 @@
+/**
+ * This is a copy-paste of https://github.com/lukasbach/chakra-ui-contextmenu with a small change.
+ *
+ * The reactflow background element somehow prevents the chakra `useOutsideClick()` hook from working.
+ * With a menu open, clicking on the reactflow background element doesn't close the menu.
+ *
+ * Reactflow does provide an `onPaneClick` to handle clicks on the background element, but it is not
+ * straightforward to programatically close the menu.
+ *
+ * As a (hopefully temporary) workaround, we will use a dirty hack:
+ * - create `globalContextMenuCloseTrigger: number` in `ui` slice
+ * - increment it in `onPaneClick`
+ * - `useEffect()` to close the menu when `globalContextMenuCloseTrigger` changes
+ */
+
+import {
+  Menu,
+  MenuButton,
+  MenuButtonProps,
+  MenuProps,
+  Portal,
+  PortalProps,
+  useEventListener,
+} from '@chakra-ui/react';
+import { useAppSelector } from 'app/store/storeHooks';
+import * as React from 'react';
+import {
+  MutableRefObject,
+  useCallback,
+  useEffect,
+  useRef,
+  useState,
+} from 'react';
+
+export interface IAIContextMenuProps<T extends HTMLElement> {
+  renderMenu: () => JSX.Element | null;
+  children: (ref: MutableRefObject<T | null>) => JSX.Element | null;
+  menuProps?: Omit<MenuProps, 'children'> & { children?: React.ReactNode };
+  portalProps?: Omit<PortalProps, 'children'> & { children?: React.ReactNode };
+  menuButtonProps?: MenuButtonProps;
+}
+
+export function IAIContextMenu<T extends HTMLElement = HTMLElement>(
+  props: IAIContextMenuProps<T>
+) {
+  const [isOpen, setIsOpen] = useState(false);
+  const [isRendered, setIsRendered] = useState(false);
+  const [isDeferredOpen, setIsDeferredOpen] = useState(false);
+  const [position, setPosition] = useState<[number, number]>([0, 0]);
+  const targetRef = useRef<T>(null);
+
+  const globalContextMenuCloseTrigger = useAppSelector(
+    (state) => state.ui.globalContextMenuCloseTrigger
+  );
+
+  useEffect(() => {
+    if (isOpen) {
+      setTimeout(() => {
+        setIsRendered(true);
+        setTimeout(() => {
+          setIsDeferredOpen(true);
+        });
+      });
+    } else {
+      setIsDeferredOpen(false);
+      const timeout = setTimeout(() => {
+        setIsRendered(isOpen);
+      }, 1000);
+      return () => clearTimeout(timeout);
+    }
+  }, [isOpen]);
+
+  useEffect(() => {
+    setIsOpen(false);
+    setIsDeferredOpen(false);
+    setIsRendered(false);
+  }, [globalContextMenuCloseTrigger]);
+
+  useEventListener('contextmenu', (e) => {
+    if (
+      targetRef.current?.contains(e.target as HTMLElement) ||
+      e.target === targetRef.current
+    ) {
+      e.preventDefault();
+      setIsOpen(true);
+      setPosition([e.pageX, e.pageY]);
+    } else {
+      setIsOpen(false);
+    }
+  });
+
+  const onCloseHandler = useCallback(() => {
+    props.menuProps?.onClose?.();
+    setIsOpen(false);
+  }, [props.menuProps]);
+
+  return (
+    <>
+      {props.children(targetRef)}
+      {isRendered && (
+        <Portal {...props.portalProps}>
+          <Menu
+            isOpen={isDeferredOpen}
+            gutter={0}
+            {...props.menuProps}
+            onClose={onCloseHandler}
+          >
+            <MenuButton
+              aria-hidden={true}
+              w={1}
+              h={1}
+              style={{
+                position: 'absolute',
+                left: position[0],
+                top: position[1],
+                cursor: 'default',
+              }}
+              {...props.menuButtonProps}
+            />
+            {props.renderMenu()}
+          </Menu>
+        </Portal>
+      )}
+    </>
+  );
+}
diff --git a/invokeai/frontend/web/src/common/components/IAIDndImage.tsx b/invokeai/frontend/web/src/common/components/IAIDndImage.tsx
index 403a6cd5c5..aeeb3677cc 100644
--- a/invokeai/frontend/web/src/common/components/IAIDndImage.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIDndImage.tsx
@@ -16,6 +16,7 @@ import ImageContextMenu from 'features/gallery/components/ImageContextMenu/Image
 import {
   MouseEvent,
   ReactElement,
+  ReactNode,
   SyntheticEvent,
   memo,
   useCallback,
@@ -32,6 +33,17 @@ import {
   TypesafeDroppableData,
 } from 'features/dnd/types';
 
+const defaultUploadElement = (
+  <Icon
+    as={FaUpload}
+    sx={{
+      boxSize: 16,
+    }}
+  />
+);
+
+const defaultNoContentFallback = <IAINoContentFallback icon={FaImage} />;
+
 type IAIDndImageProps = FlexProps & {
   imageDTO: ImageDTO | undefined;
   onError?: (event: SyntheticEvent<HTMLImageElement>) => void;
@@ -47,13 +59,14 @@ type IAIDndImageProps = FlexProps & {
   fitContainer?: boolean;
   droppableData?: TypesafeDroppableData;
   draggableData?: TypesafeDraggableData;
-  dropLabel?: string;
+  dropLabel?: ReactNode;
   isSelected?: boolean;
   thumbnail?: boolean;
   noContentFallback?: ReactElement;
   useThumbailFallback?: boolean;
   withHoverOverlay?: boolean;
   children?: JSX.Element;
+  uploadElement?: ReactNode;
 };
 
 const IAIDndImage = (props: IAIDndImageProps) => {
@@ -74,7 +87,8 @@ const IAIDndImage = (props: IAIDndImageProps) => {
     dropLabel,
     isSelected = false,
     thumbnail = false,
-    noContentFallback = <IAINoContentFallback icon={FaImage} />,
+    noContentFallback = defaultNoContentFallback,
+    uploadElement = defaultUploadElement,
     useThumbailFallback,
     withHoverOverlay = false,
     children,
@@ -193,12 +207,7 @@ const IAIDndImage = (props: IAIDndImageProps) => {
                 {...getUploadButtonProps()}
               >
                 <input {...getUploadInputProps()} />
-                <Icon
-                  as={FaUpload}
-                  sx={{
-                    boxSize: 16,
-                  }}
-                />
+                {uploadElement}
               </Flex>
             </>
           )}
@@ -210,6 +219,7 @@ const IAIDndImage = (props: IAIDndImageProps) => {
               onClick={onClick}
             />
           )}
+          {children}
           {!isDropDisabled && (
             <IAIDroppable
               data={droppableData}
@@ -217,7 +227,6 @@ const IAIDndImage = (props: IAIDndImageProps) => {
               dropLabel={dropLabel}
             />
           )}
-          {children}
         </Flex>
       )}
     </ImageContextMenu>
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/ImageContextMenu.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/ImageContextMenu.tsx
index ce8b4450a6..0c13b37f0c 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/ImageContextMenu.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/ImageContextMenu.tsx
@@ -1,5 +1,8 @@
 import { MenuList } from '@chakra-ui/react';
-import { ContextMenu, ContextMenuProps } from 'chakra-ui-contextmenu';
+import {
+  IAIContextMenu,
+  IAIContextMenuProps,
+} from 'common/components/IAIContextMenu';
 import { MouseEvent, memo, useCallback } from 'react';
 import { ImageDTO } from 'services/api/types';
 import { menuListMotionProps } from 'theme/components/menu';
@@ -12,7 +15,7 @@ import MultipleSelectionMenuItems from './MultipleSelectionMenuItems';
 
 type Props = {
   imageDTO: ImageDTO | undefined;
-  children: ContextMenuProps<HTMLDivElement>['children'];
+  children: IAIContextMenuProps<HTMLDivElement>['children'];
 };
 
 const selector = createSelector(
@@ -33,7 +36,7 @@ const ImageContextMenu = ({ imageDTO, children }: Props) => {
   }, []);
 
   return (
-    <ContextMenu<HTMLDivElement>
+    <IAIContextMenu<HTMLDivElement>
       menuProps={{ size: 'sm', isLazy: true }}
       menuButtonProps={{
         bg: 'transparent',
@@ -68,7 +71,7 @@ const ImageContextMenu = ({ imageDTO, children }: Props) => {
       }}
     >
       {children}
-    </ContextMenu>
+    </IAIContextMenu>
   );
 };
 
diff --git a/invokeai/frontend/web/src/features/nodes/components/Flow.tsx b/invokeai/frontend/web/src/features/nodes/components/Flow.tsx
index 8234a6a7fa..5b33bf4a9c 100644
--- a/invokeai/frontend/web/src/features/nodes/components/Flow.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Flow.tsx
@@ -1,5 +1,6 @@
 import { useToken } from '@chakra-ui/react';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { contextMenusClosed } from 'features/ui/store/uiSlice';
 import { useCallback } from 'react';
 import {
   Background,
@@ -114,6 +115,10 @@ export const Flow = () => {
     [dispatch]
   );
 
+  const handlePaneClick = useCallback(() => {
+    dispatch(contextMenusClosed());
+  }, [dispatch]);
+
   return (
     <ReactFlow
       defaultViewport={viewport}
@@ -138,6 +143,7 @@ export const Flow = () => {
       connectionRadius={30}
       proOptions={proOptions}
       style={{ borderRadius }}
+      onPaneClick={handlePaneClick}
     >
       <TopLeftPanel />
       <TopCenterPanel />
diff --git a/invokeai/frontend/web/src/features/ui/store/uiPersistDenylist.ts b/invokeai/frontend/web/src/features/ui/store/uiPersistDenylist.ts
index b485d71bdd..07fefd95e8 100644
--- a/invokeai/frontend/web/src/features/ui/store/uiPersistDenylist.ts
+++ b/invokeai/frontend/web/src/features/ui/store/uiPersistDenylist.ts
@@ -3,4 +3,7 @@ import { UIState } from './uiTypes';
 /**
  * UI slice persist denylist
  */
-export const uiPersistDenylist: (keyof UIState)[] = ['shouldShowImageDetails'];
+export const uiPersistDenylist: (keyof UIState)[] = [
+  'shouldShowImageDetails',
+  'globalContextMenuCloseTrigger',
+];
diff --git a/invokeai/frontend/web/src/features/ui/store/uiSlice.ts b/invokeai/frontend/web/src/features/ui/store/uiSlice.ts
index e487f08067..ca35eab300 100644
--- a/invokeai/frontend/web/src/features/ui/store/uiSlice.ts
+++ b/invokeai/frontend/web/src/features/ui/store/uiSlice.ts
@@ -20,6 +20,7 @@ export const initialUIState: UIState = {
   shouldShowProgressInViewer: true,
   shouldShowEmbeddingPicker: false,
   favoriteSchedulers: [],
+  globalContextMenuCloseTrigger: 0,
 };
 
 export const uiSlice = createSlice({
@@ -96,6 +97,9 @@ export const uiSlice = createSlice({
     toggleEmbeddingPicker: (state) => {
       state.shouldShowEmbeddingPicker = !state.shouldShowEmbeddingPicker;
     },
+    contextMenusClosed: (state) => {
+      state.globalContextMenuCloseTrigger += 1;
+    },
   },
   extraReducers(builder) {
     builder.addCase(initialImageChanged, (state) => {
@@ -122,6 +126,7 @@ export const {
   setShouldShowProgressInViewer,
   favoriteSchedulersChanged,
   toggleEmbeddingPicker,
+  contextMenusClosed,
 } = uiSlice.actions;
 
 export default uiSlice.reducer;
diff --git a/invokeai/frontend/web/src/features/ui/store/uiTypes.ts b/invokeai/frontend/web/src/features/ui/store/uiTypes.ts
index 71c83b1630..08c75a12f5 100644
--- a/invokeai/frontend/web/src/features/ui/store/uiTypes.ts
+++ b/invokeai/frontend/web/src/features/ui/store/uiTypes.ts
@@ -26,4 +26,5 @@ export interface UIState {
   shouldShowProgressInViewer: boolean;
   shouldShowEmbeddingPicker: boolean;
   favoriteSchedulers: SchedulerParam[];
+  globalContextMenuCloseTrigger: number;
 }

From f7c92e1eff04665de751cba4a327417c6bb5eb1c Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 16 Aug 2023 18:29:26 +1000
Subject: [PATCH 267/287] fix(ui): disable awkward resize animation for `<Flow
 />`

---
 .../frontend/web/src/features/nodes/components/NodeEditor.tsx   | 2 --
 1 file changed, 2 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx b/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx
index 6920a2053b..5e610cfc39 100644
--- a/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/NodeEditor.tsx
@@ -46,7 +46,6 @@ const NodeEditor = () => {
           <AnimatePresence>
             {isReady && (
               <motion.div
-                layoutId="node-editor-flow"
                 initial={{
                   opacity: 0,
                 }}
@@ -67,7 +66,6 @@ const NodeEditor = () => {
           <AnimatePresence>
             {!isReady && (
               <motion.div
-                layoutId="node-editor-loading"
                 initial={{
                   opacity: 0,
                 }}

From f9b8b5cff21d28610afba49ebd4888872624a9cf Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 16 Aug 2023 22:18:48 +1000
Subject: [PATCH 268/287] fix(ui): improve node rendering performance

Previously the editor was using prop-drilling node data and templates to get values deep into nodes. This ended up causing very noticeable performance degradation. For example, any text entry fields were super laggy.

Refactor the whole thing to use memoized selectors via hooks. The hooks are mostly very narrow, returning only the data needed.

Data objects are never passed down, only node id and field name - sometimes the field kind ('input' or 'output').

The end result is a *much* smoother node editor with very minimal rerenders.
---
 .../components/Invocation/InvocationNode.tsx  |  68 ++--
 .../Invocation/NodeCollapseButton.tsx         |   9 +-
 .../Invocation/NodeCollapsedHandles.tsx       |  24 +-
 .../components/Invocation/NodeFooter.tsx      |  89 +++---
 .../components/Invocation/NodeHeader.tsx      |  32 +-
 .../components/Invocation/NodeNotesEdit.tsx   |  92 +++---
 .../Invocation/NodeStatusIndicator.tsx        |  24 +-
 .../nodes/components/Invocation/NodeTitle.tsx |  23 +-
 .../components/Invocation/NodeWrapper.tsx     |  19 +-
 .../Invocation/UnknownNodeFallback.tsx        |  22 +-
 .../nodes/components/fields/FieldHandle.tsx   |  14 +-
 .../nodes/components/fields/FieldTitle.tsx    |  56 ++--
 .../components/fields/FieldTooltipContent.tsx |  55 ++--
 .../nodes/components/fields/InputField.tsx    | 102 +++---
 .../components/fields/InputFieldRenderer.tsx  | 294 +++++++++---------
 .../components/fields/LinearViewField.tsx     |  50 +--
 .../nodes/components/fields/OutputField.tsx   |  76 ++---
 .../fields/fieldTypes/BooleanInputField.tsx   |   3 +-
 .../fields/fieldTypes/ColorInputField.tsx     |   3 +-
 .../fieldTypes/ControlNetModelInputField.tsx  |   3 +-
 .../fields/fieldTypes/EnumInputField.tsx      |   3 +-
 .../fieldTypes/ImageCollectionInputField.tsx  |   3 +-
 .../fields/fieldTypes/ImageInputField.tsx     |   3 +-
 .../fields/fieldTypes/LoRAModelInputField.tsx |   3 +-
 .../fields/fieldTypes/MainModelInputField.tsx |   3 +-
 .../fields/fieldTypes/NumberInputField.tsx    |   3 +-
 .../fieldTypes/RefinerModelInputField.tsx     |   3 +-
 .../fieldTypes/SDXLMainModelInputField.tsx    |   3 +-
 .../fields/fieldTypes/StringInputField.tsx    |   3 +-
 .../fields/fieldTypes/VaeModelInputField.tsx  |   3 +-
 .../components/fields/fieldTypes/types.ts     |   5 +-
 .../components/nodes/CurrentImageNode.tsx     |   6 +-
 .../nodes/InvocationNodeWrapper.tsx           |  37 ++-
 .../nodes/components/nodes/NotesNode.tsx      |   8 +-
 .../nodes/components/panel/InspectorPanel.tsx |  63 +---
 .../components/panel/NodeDataInspector.tsx    |  14 +-
 .../panel/NodeTemplateInspector.tsx           |  40 +++
 .../components/panel/workflow/LinearTab.tsx   |  53 +---
 .../nodes/hooks/useConnectionState.ts         |  36 +--
 .../src/features/nodes/hooks/useNodeData.ts   | 289 +++++++++++++++++
 .../util/makeIsConnectionValidSelector.ts     |   6 +-
 .../web/src/features/nodes/types/types.ts     |  19 +-
 42 files changed, 928 insertions(+), 736 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/nodes/components/panel/NodeTemplateInspector.tsx
 create mode 100644 invokeai/frontend/web/src/features/nodes/hooks/useNodeData.ts

diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/InvocationNode.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/InvocationNode.tsx
index a86b52060b..6c610d7f34 100644
--- a/invokeai/frontend/web/src/features/nodes/components/Invocation/InvocationNode.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/InvocationNode.tsx
@@ -1,40 +1,34 @@
 import { Flex } from '@chakra-ui/react';
-import {
-  InvocationNodeData,
-  InvocationTemplate,
-} from 'features/nodes/types/types';
-import { map, some } from 'lodash-es';
-import { memo, useMemo } from 'react';
-import { NodeProps } from 'reactflow';
+import { useFieldNames, useWithFooter } from 'features/nodes/hooks/useNodeData';
+import { memo } from 'react';
 import InputField from '../fields/InputField';
 import OutputField from '../fields/OutputField';
-import NodeFooter, { FOOTER_FIELDS } from './NodeFooter';
+import NodeFooter from './NodeFooter';
 import NodeHeader from './NodeHeader';
 import NodeWrapper from './NodeWrapper';
 
 type Props = {
-  nodeProps: NodeProps<InvocationNodeData>;
-  nodeTemplate: InvocationTemplate;
+  nodeId: string;
+  isOpen: boolean;
+  label: string;
+  type: string;
+  selected: boolean;
 };
 
-const InvocationNode = ({ nodeProps, nodeTemplate }: Props) => {
-  const { id: nodeId, data } = nodeProps;
-  const { inputs, outputs, isOpen } = data;
-
-  const inputFields = useMemo(
-    () => map(inputs).filter((i) => i.name !== 'is_intermediate'),
-    [inputs]
-  );
-  const outputFields = useMemo(() => map(outputs), [outputs]);
-
-  const withFooter = useMemo(
-    () => some(outputs, (output) => FOOTER_FIELDS.includes(output.type)),
-    [outputs]
-  );
+const InvocationNode = ({ nodeId, isOpen, label, type, selected }: Props) => {
+  const inputFieldNames = useFieldNames(nodeId, 'input');
+  const outputFieldNames = useFieldNames(nodeId, 'output');
+  const withFooter = useWithFooter(nodeId);
 
   return (
-    <NodeWrapper nodeProps={nodeProps}>
-      <NodeHeader nodeProps={nodeProps} nodeTemplate={nodeTemplate} />
+    <NodeWrapper nodeId={nodeId} selected={selected}>
+      <NodeHeader
+        nodeId={nodeId}
+        isOpen={isOpen}
+        label={label}
+        selected={selected}
+        type={type}
+      />
       {isOpen && (
         <>
           <Flex
@@ -54,27 +48,23 @@ const InvocationNode = ({ nodeProps, nodeTemplate }: Props) => {
               className="nopan"
               sx={{ flexDir: 'column', px: 2, w: 'full', h: 'full' }}
             >
-              {outputFields.map((field) => (
+              {outputFieldNames.map((fieldName) => (
                 <OutputField
-                  key={`${nodeId}.${field.id}.input-field`}
-                  nodeProps={nodeProps}
-                  nodeTemplate={nodeTemplate}
-                  field={field}
+                  key={`${nodeId}.${fieldName}.output-field`}
+                  nodeId={nodeId}
+                  fieldName={fieldName}
                 />
               ))}
-              {inputFields.map((field) => (
+              {inputFieldNames.map((fieldName) => (
                 <InputField
-                  key={`${nodeId}.${field.id}.input-field`}
-                  nodeProps={nodeProps}
-                  nodeTemplate={nodeTemplate}
-                  field={field}
+                  key={`${nodeId}.${fieldName}.input-field`}
+                  nodeId={nodeId}
+                  fieldName={fieldName}
                 />
               ))}
             </Flex>
           </Flex>
-          {withFooter && (
-            <NodeFooter nodeProps={nodeProps} nodeTemplate={nodeTemplate} />
-          )}
+          {withFooter && <NodeFooter nodeId={nodeId} />}
         </>
       )}
     </NodeWrapper>
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapseButton.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapseButton.tsx
index d67ca10dcc..2648e68607 100644
--- a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapseButton.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapseButton.tsx
@@ -2,16 +2,15 @@ import { ChevronUpIcon } from '@chakra-ui/icons';
 import { useAppDispatch } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
 import { nodeIsOpenChanged } from 'features/nodes/store/nodesSlice';
-import { NodeData } from 'features/nodes/types/types';
 import { memo, useCallback } from 'react';
-import { NodeProps, useUpdateNodeInternals } from 'reactflow';
+import { useUpdateNodeInternals } from 'reactflow';
 
 interface Props {
-  nodeProps: NodeProps<NodeData>;
+  nodeId: string;
+  isOpen: boolean;
 }
 
-const NodeCollapseButton = (props: Props) => {
-  const { id: nodeId, isOpen } = props.nodeProps.data;
+const NodeCollapseButton = ({ nodeId, isOpen }: Props) => {
   const dispatch = useAppDispatch();
   const updateNodeInternals = useUpdateNodeInternals();
 
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapsedHandles.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapsedHandles.tsx
index ece24f6f8c..32dd554ef4 100644
--- a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapsedHandles.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeCollapsedHandles.tsx
@@ -1,20 +1,17 @@
 import { useColorModeValue } from '@chakra-ui/react';
 import { useChakraThemeTokens } from 'common/hooks/useChakraThemeTokens';
-import {
-  InvocationNodeData,
-  InvocationTemplate,
-} from 'features/nodes/types/types';
+import { useNodeData } from 'features/nodes/hooks/useNodeData';
+import { isInvocationNodeData } from 'features/nodes/types/types';
 import { map } from 'lodash-es';
 import { CSSProperties, memo, useMemo } from 'react';
-import { Handle, NodeProps, Position } from 'reactflow';
+import { Handle, Position } from 'reactflow';
 
 interface Props {
-  nodeProps: NodeProps<InvocationNodeData>;
-  nodeTemplate: InvocationTemplate;
+  nodeId: string;
 }
 
-const NodeCollapsedHandles = (props: Props) => {
-  const { data } = props.nodeProps;
+const NodeCollapsedHandles = ({ nodeId }: Props) => {
+  const data = useNodeData(nodeId);
   const { base400, base600 } = useChakraThemeTokens();
   const backgroundColor = useColorModeValue(base400, base600);
 
@@ -30,6 +27,10 @@ const NodeCollapsedHandles = (props: Props) => {
     [backgroundColor]
   );
 
+  if (!isInvocationNodeData(data)) {
+    return null;
+  }
+
   return (
     <>
       <Handle
@@ -44,7 +45,7 @@ const NodeCollapsedHandles = (props: Props) => {
           key={`${data.id}-${input.name}-collapsed-input-handle`}
           type="target"
           id={input.name}
-          isValidConnection={() => false}
+          isConnectable={false}
           position={Position.Left}
           style={{ visibility: 'hidden' }}
         />
@@ -52,7 +53,6 @@ const NodeCollapsedHandles = (props: Props) => {
       <Handle
         type="source"
         id={`${data.id}-collapsed-source`}
-        isValidConnection={() => false}
         isConnectable={false}
         position={Position.Right}
         style={{ ...dummyHandleStyles, right: '-0.5rem' }}
@@ -62,7 +62,7 @@ const NodeCollapsedHandles = (props: Props) => {
           key={`${data.id}-${output.name}-collapsed-output-handle`}
           type="source"
           id={output.name}
-          isValidConnection={() => false}
+          isConnectable={false}
           position={Position.Right}
           style={{ visibility: 'hidden' }}
         />
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx
index 38c2001b99..9f5980374d 100644
--- a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx
@@ -6,49 +6,22 @@ import {
   Spacer,
 } from '@chakra-ui/react';
 import { useAppDispatch } from 'app/store/storeHooks';
+import {
+  useHasImageOutput,
+  useIsIntermediate,
+} from 'features/nodes/hooks/useNodeData';
 import { fieldBooleanValueChanged } from 'features/nodes/store/nodesSlice';
 import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
-import {
-  InvocationNodeData,
-  InvocationTemplate,
-} from 'features/nodes/types/types';
-import { some } from 'lodash-es';
-import { ChangeEvent, memo, useCallback, useMemo } from 'react';
-import { NodeProps } from 'reactflow';
+import { ChangeEvent, memo, useCallback } from 'react';
 
 export const IMAGE_FIELDS = ['ImageField', 'ImageCollection'];
 export const FOOTER_FIELDS = IMAGE_FIELDS;
 
 type Props = {
-  nodeProps: NodeProps<InvocationNodeData>;
-  nodeTemplate: InvocationTemplate;
+  nodeId: string;
 };
 
-const NodeFooter = (props: Props) => {
-  const { nodeProps, nodeTemplate } = props;
-  const dispatch = useAppDispatch();
-
-  const hasImageOutput = useMemo(
-    () =>
-      some(nodeTemplate?.outputs, (output) =>
-        IMAGE_FIELDS.includes(output.type)
-      ),
-    [nodeTemplate?.outputs]
-  );
-
-  const handleChangeIsIntermediate = useCallback(
-    (e: ChangeEvent<HTMLInputElement>) => {
-      dispatch(
-        fieldBooleanValueChanged({
-          nodeId: nodeProps.data.id,
-          fieldName: 'is_intermediate',
-          value: !e.target.checked,
-        })
-      );
-    },
-    [dispatch, nodeProps.data.id]
-  );
-
+const NodeFooter = ({ nodeId }: Props) => {
   return (
     <Flex
       className={DRAG_HANDLE_CLASSNAME}
@@ -62,19 +35,45 @@ const NodeFooter = (props: Props) => {
       }}
     >
       <Spacer />
-      {hasImageOutput && (
-        <FormControl as={Flex} sx={{ alignItems: 'center', gap: 2, w: 'auto' }}>
-          <FormLabel sx={{ fontSize: 'xs', mb: '1px' }}>Save Output</FormLabel>
-          <Checkbox
-            className="nopan"
-            size="sm"
-            onChange={handleChangeIsIntermediate}
-            isChecked={!nodeProps.data.inputs['is_intermediate']?.value}
-          />
-        </FormControl>
-      )}
+      <SaveImageCheckbox nodeId={nodeId} />
     </Flex>
   );
 };
 
 export default memo(NodeFooter);
+
+const SaveImageCheckbox = memo(({ nodeId }: { nodeId: string }) => {
+  const dispatch = useAppDispatch();
+  const hasImageOutput = useHasImageOutput(nodeId);
+  const is_intermediate = useIsIntermediate(nodeId);
+  const handleChangeIsIntermediate = useCallback(
+    (e: ChangeEvent<HTMLInputElement>) => {
+      dispatch(
+        fieldBooleanValueChanged({
+          nodeId,
+          fieldName: 'is_intermediate',
+          value: !e.target.checked,
+        })
+      );
+    },
+    [dispatch, nodeId]
+  );
+
+  if (!hasImageOutput) {
+    return null;
+  }
+
+  return (
+    <FormControl as={Flex} sx={{ alignItems: 'center', gap: 2, w: 'auto' }}>
+      <FormLabel sx={{ fontSize: 'xs', mb: '1px' }}>Save Output</FormLabel>
+      <Checkbox
+        className="nopan"
+        size="sm"
+        onChange={handleChangeIsIntermediate}
+        isChecked={!is_intermediate}
+      />
+    </FormControl>
+  );
+});
+
+SaveImageCheckbox.displayName = 'SaveImageCheckbox';
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeHeader.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeHeader.tsx
index a946d21581..fa4585a445 100644
--- a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeHeader.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeHeader.tsx
@@ -1,10 +1,5 @@
 import { Flex } from '@chakra-ui/react';
-import {
-  InvocationNodeData,
-  InvocationTemplate,
-} from 'features/nodes/types/types';
 import { memo } from 'react';
-import { NodeProps } from 'reactflow';
 import NodeCollapseButton from '../Invocation/NodeCollapseButton';
 import NodeCollapsedHandles from '../Invocation/NodeCollapsedHandles';
 import NodeNotesEdit from '../Invocation/NodeNotesEdit';
@@ -12,14 +7,14 @@ import NodeStatusIndicator from '../Invocation/NodeStatusIndicator';
 import NodeTitle from '../Invocation/NodeTitle';
 
 type Props = {
-  nodeProps: NodeProps<InvocationNodeData>;
-  nodeTemplate: InvocationTemplate;
+  nodeId: string;
+  isOpen: boolean;
+  label: string;
+  type: string;
+  selected: boolean;
 };
 
-const NodeHeader = (props: Props) => {
-  const { nodeProps, nodeTemplate } = props;
-  const { isOpen } = nodeProps.data;
-
+const NodeHeader = ({ nodeId, isOpen, label, type, selected }: Props) => {
   return (
     <Flex
       layerStyle="nodeHeader"
@@ -35,18 +30,13 @@ const NodeHeader = (props: Props) => {
         _dark: { color: 'base.200' },
       }}
     >
-      <NodeCollapseButton nodeProps={nodeProps} />
-      <NodeTitle nodeData={nodeProps.data} title={nodeTemplate.title} />
+      <NodeCollapseButton nodeId={nodeId} isOpen={isOpen} />
+      <NodeTitle nodeId={nodeId} />
       <Flex alignItems="center">
-        <NodeStatusIndicator nodeProps={nodeProps} />
-        <NodeNotesEdit nodeProps={nodeProps} nodeTemplate={nodeTemplate} />
+        <NodeStatusIndicator nodeId={nodeId} />
+        <NodeNotesEdit nodeId={nodeId} />
       </Flex>
-      {!isOpen && (
-        <NodeCollapsedHandles
-          nodeProps={nodeProps}
-          nodeTemplate={nodeTemplate}
-        />
-      )}
+      {!isOpen && <NodeCollapsedHandles nodeId={nodeId} />}
     </Flex>
   );
 };
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeNotesEdit.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeNotesEdit.tsx
index ab54ca2c44..e6f89fdf73 100644
--- a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeNotesEdit.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeNotesEdit.tsx
@@ -16,41 +16,31 @@ import {
 } from '@chakra-ui/react';
 import { useAppDispatch } from 'app/store/storeHooks';
 import IAITextarea from 'common/components/IAITextarea';
+import {
+  useNodeData,
+  useNodeLabel,
+  useNodeTemplate,
+  useNodeTemplateTitle,
+} from 'features/nodes/hooks/useNodeData';
 import { nodeNotesChanged } from 'features/nodes/store/nodesSlice';
 import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
-import {
-  InvocationNodeData,
-  InvocationTemplate,
-} from 'features/nodes/types/types';
+import { isInvocationNodeData } from 'features/nodes/types/types';
 import { ChangeEvent, memo, useCallback } from 'react';
 import { FaInfoCircle } from 'react-icons/fa';
-import { NodeProps } from 'reactflow';
 
 interface Props {
-  nodeProps: NodeProps<InvocationNodeData>;
-  nodeTemplate: InvocationTemplate;
+  nodeId: string;
 }
 
-const NodeNotesEdit = (props: Props) => {
-  const { nodeProps, nodeTemplate } = props;
-  const { data } = nodeProps;
+const NodeNotesEdit = ({ nodeId }: Props) => {
   const { isOpen, onOpen, onClose } = useDisclosure();
-  const dispatch = useAppDispatch();
-  const handleNotesChanged = useCallback(
-    (e: ChangeEvent<HTMLTextAreaElement>) => {
-      dispatch(nodeNotesChanged({ nodeId: data.id, notes: e.target.value }));
-    },
-    [data.id, dispatch]
-  );
+  const label = useNodeLabel(nodeId);
+  const title = useNodeTemplateTitle(nodeId);
 
   return (
     <>
       <Tooltip
-        label={
-          nodeTemplate ? (
-            <TooltipContent nodeProps={nodeProps} nodeTemplate={nodeTemplate} />
-          ) : undefined
-        }
+        label={<TooltipContent nodeId={nodeId} />}
         placement="top"
         shouldWrapChildren
       >
@@ -75,19 +65,10 @@ const NodeNotesEdit = (props: Props) => {
       <Modal isOpen={isOpen} onClose={onClose} isCentered>
         <ModalOverlay />
         <ModalContent>
-          <ModalHeader>
-            {data.label || nodeTemplate?.title || 'Unknown Node'}
-          </ModalHeader>
+          <ModalHeader>{label || title || 'Unknown Node'}</ModalHeader>
           <ModalCloseButton />
           <ModalBody>
-            <FormControl>
-              <FormLabel>Notes</FormLabel>
-              <IAITextarea
-                value={data.notes}
-                onChange={handleNotesChanged}
-                rows={10}
-              />
-            </FormControl>
+            <NotesTextarea nodeId={nodeId} />
           </ModalBody>
           <ModalFooter />
         </ModalContent>
@@ -98,16 +79,49 @@ const NodeNotesEdit = (props: Props) => {
 
 export default memo(NodeNotesEdit);
 
-type TooltipContentProps = Props;
+const TooltipContent = memo(({ nodeId }: { nodeId: string }) => {
+  const data = useNodeData(nodeId);
+  const nodeTemplate = useNodeTemplate(nodeId);
+
+  if (!isInvocationNodeData(data)) {
+    return 'Unknown Node';
+  }
 
-const TooltipContent = (props: TooltipContentProps) => {
   return (
     <Flex sx={{ flexDir: 'column' }}>
-      <Text sx={{ fontWeight: 600 }}>{props.nodeTemplate?.title}</Text>
+      <Text sx={{ fontWeight: 600 }}>{nodeTemplate?.title}</Text>
       <Text sx={{ opacity: 0.7, fontStyle: 'oblique 5deg' }}>
-        {props.nodeTemplate?.description}
+        {nodeTemplate?.description}
       </Text>
-      {props.nodeProps.data.notes && <Text>{props.nodeProps.data.notes}</Text>}
+      {data?.notes && <Text>{data.notes}</Text>}
     </Flex>
   );
-};
+});
+
+TooltipContent.displayName = 'TooltipContent';
+
+const NotesTextarea = memo(({ nodeId }: { nodeId: string }) => {
+  const dispatch = useAppDispatch();
+  const data = useNodeData(nodeId);
+  const handleNotesChanged = useCallback(
+    (e: ChangeEvent<HTMLTextAreaElement>) => {
+      dispatch(nodeNotesChanged({ nodeId, notes: e.target.value }));
+    },
+    [dispatch, nodeId]
+  );
+  if (!isInvocationNodeData(data)) {
+    return null;
+  }
+  return (
+    <FormControl>
+      <FormLabel>Notes</FormLabel>
+      <IAITextarea
+        value={data?.notes}
+        onChange={handleNotesChanged}
+        rows={10}
+      />
+    </FormControl>
+  );
+});
+
+NotesTextarea.displayName = 'NodesTextarea';
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeStatusIndicator.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeStatusIndicator.tsx
index 6695c4fd3b..d53fec4b42 100644
--- a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeStatusIndicator.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeStatusIndicator.tsx
@@ -11,17 +11,12 @@ import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
 import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
-import {
-  InvocationNodeData,
-  NodeExecutionState,
-  NodeStatus,
-} from 'features/nodes/types/types';
+import { NodeExecutionState, NodeStatus } from 'features/nodes/types/types';
 import { memo, useMemo } from 'react';
 import { FaCheck, FaEllipsisH, FaExclamation } from 'react-icons/fa';
-import { NodeProps } from 'reactflow';
 
 type Props = {
-  nodeProps: NodeProps<InvocationNodeData>;
+  nodeId: string;
 };
 
 const iconBoxSize = 3;
@@ -33,8 +28,7 @@ const circleStyles = {
   '.chakra-progress__track': { stroke: 'transparent' },
 };
 
-const NodeStatusIndicator = (props: Props) => {
-  const nodeId = props.nodeProps.data.id;
+const NodeStatusIndicator = ({ nodeId }: Props) => {
   const selectNodeExecutionState = useMemo(
     () =>
       createSelector(
@@ -76,7 +70,7 @@ type TooltipLabelProps = {
   nodeExecutionState: NodeExecutionState;
 };
 
-const TooltipLabel = ({ nodeExecutionState }: TooltipLabelProps) => {
+const TooltipLabel = memo(({ nodeExecutionState }: TooltipLabelProps) => {
   const { status, progress, progressImage } = nodeExecutionState;
   if (status === NodeStatus.PENDING) {
     return <Text>Pending</Text>;
@@ -118,13 +112,15 @@ const TooltipLabel = ({ nodeExecutionState }: TooltipLabelProps) => {
   }
 
   return null;
-};
+});
+
+TooltipLabel.displayName = 'TooltipLabel';
 
 type StatusIconProps = {
   nodeExecutionState: NodeExecutionState;
 };
 
-const StatusIcon = (props: StatusIconProps) => {
+const StatusIcon = memo((props: StatusIconProps) => {
   const { progress, status } = props.nodeExecutionState;
   if (status === NodeStatus.PENDING) {
     return (
@@ -182,4 +178,6 @@ const StatusIcon = (props: StatusIconProps) => {
     );
   }
   return null;
-};
+});
+
+StatusIcon.displayName = 'StatusIcon';
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeTitle.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeTitle.tsx
index fa6a8ea224..d816f3cea1 100644
--- a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeTitle.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeTitle.tsx
@@ -7,26 +7,29 @@ import {
   useEditableControls,
 } from '@chakra-ui/react';
 import { useAppDispatch } from 'app/store/storeHooks';
+import {
+  useNodeLabel,
+  useNodeTemplateTitle,
+} from 'features/nodes/hooks/useNodeData';
 import { nodeLabelChanged } from 'features/nodes/store/nodesSlice';
 import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
-import { NodeData } from 'features/nodes/types/types';
 import { MouseEvent, memo, useCallback, useEffect, useState } from 'react';
 
 type Props = {
-  nodeData: NodeData;
-  title: string;
+  nodeId: string;
+  title?: string;
 };
 
-const NodeTitle = (props: Props) => {
-  const { title } = props;
-  const { id: nodeId, label } = props.nodeData;
+const NodeTitle = ({ nodeId, title }: Props) => {
   const dispatch = useAppDispatch();
-  const [localTitle, setLocalTitle] = useState(label || title);
+  const label = useNodeLabel(nodeId);
+  const templateTitle = useNodeTemplateTitle(nodeId);
 
+  const [localTitle, setLocalTitle] = useState('');
   const handleSubmit = useCallback(
     async (newTitle: string) => {
       dispatch(nodeLabelChanged({ nodeId, label: newTitle }));
-      setLocalTitle(newTitle || title);
+      setLocalTitle(newTitle || title || 'Problem Setting Title');
     },
     [nodeId, dispatch, title]
   );
@@ -37,8 +40,8 @@ const NodeTitle = (props: Props) => {
 
   useEffect(() => {
     // Another component may change the title; sync local title with global state
-    setLocalTitle(label || title);
-  }, [label, title]);
+    setLocalTitle(label || title || templateTitle || 'Problem Setting Title');
+  }, [label, templateTitle, title]);
 
   return (
     <Flex
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeWrapper.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeWrapper.tsx
index 2f555d700a..68ed0684ed 100644
--- a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeWrapper.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeWrapper.tsx
@@ -6,10 +6,14 @@ import {
 } from '@chakra-ui/react';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { nodeClicked } from 'features/nodes/store/nodesSlice';
-import { MouseEvent, PropsWithChildren, useCallback, useMemo } from 'react';
+import {
+  MouseEvent,
+  PropsWithChildren,
+  memo,
+  useCallback,
+  useMemo,
+} from 'react';
 import { DRAG_HANDLE_CLASSNAME, NODE_WIDTH } from '../../types/constants';
-import { NodeData } from 'features/nodes/types/types';
-import { NodeProps } from 'reactflow';
 
 const useNodeSelect = (nodeId: string) => {
   const dispatch = useAppDispatch();
@@ -25,14 +29,13 @@ const useNodeSelect = (nodeId: string) => {
 };
 
 type NodeWrapperProps = PropsWithChildren & {
-  nodeProps: NodeProps<NodeData>;
+  nodeId: string;
+  selected: boolean;
   width?: NonNullable<ChakraProps['sx']>['w'];
 };
 
 const NodeWrapper = (props: NodeWrapperProps) => {
-  const { width, children, nodeProps } = props;
-  const { data, selected } = nodeProps;
-  const nodeId = data.id;
+  const { width, children, nodeId, selected } = props;
 
   const [
     nodeSelectedOutlineLight,
@@ -93,4 +96,4 @@ const NodeWrapper = (props: NodeWrapperProps) => {
   );
 };
 
-export default NodeWrapper;
+export default memo(NodeWrapper);
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/UnknownNodeFallback.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/UnknownNodeFallback.tsx
index a16c6960ec..664a788b5a 100644
--- a/invokeai/frontend/web/src/features/nodes/components/Invocation/UnknownNodeFallback.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/UnknownNodeFallback.tsx
@@ -1,20 +1,26 @@
 import { Box, Flex, Text } from '@chakra-ui/react';
 import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
-import { InvocationNodeData } from 'features/nodes/types/types';
 import { memo } from 'react';
-import { NodeProps } from 'reactflow';
 import NodeCollapseButton from '../Invocation/NodeCollapseButton';
 import NodeWrapper from '../Invocation/NodeWrapper';
 
 type Props = {
-  nodeProps: NodeProps<InvocationNodeData>;
+  nodeId: string;
+  isOpen: boolean;
+  label: string;
+  type: string;
+  selected: boolean;
 };
 
-const UnknownNodeFallback = ({ nodeProps }: Props) => {
-  const { data } = nodeProps;
-  const { isOpen, label, type } = data;
+const UnknownNodeFallback = ({
+  nodeId,
+  isOpen,
+  label,
+  type,
+  selected,
+}: Props) => {
   return (
-    <NodeWrapper nodeProps={nodeProps}>
+    <NodeWrapper nodeId={nodeId} selected={selected}>
       <Flex
         className={DRAG_HANDLE_CLASSNAME}
         layerStyle="nodeHeader"
@@ -27,7 +33,7 @@ const UnknownNodeFallback = ({ nodeProps }: Props) => {
           fontSize: 'sm',
         }}
       >
-        <NodeCollapseButton nodeProps={nodeProps} />
+        <NodeCollapseButton nodeId={nodeId} isOpen={isOpen} />
         <Text
           sx={{
             w: 'full',
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/FieldHandle.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/FieldHandle.tsx
index f47e68976d..f79a57a4eb 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/FieldHandle.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/FieldHandle.tsx
@@ -1,19 +1,12 @@
 import { Tooltip } from '@chakra-ui/react';
 import { CSSProperties, memo, useMemo } from 'react';
-import { Handle, HandleType, NodeProps, Position } from 'reactflow';
+import { Handle, HandleType, Position } from 'reactflow';
 import {
   FIELDS,
   HANDLE_TOOLTIP_OPEN_DELAY,
   colorTokenToCssVar,
 } from '../../types/constants';
-import {
-  InputFieldTemplate,
-  InputFieldValue,
-  InvocationNodeData,
-  InvocationTemplate,
-  OutputFieldTemplate,
-  OutputFieldValue,
-} from '../../types/types';
+import { InputFieldTemplate, OutputFieldTemplate } from '../../types/types';
 
 export const handleBaseStyles: CSSProperties = {
   position: 'absolute',
@@ -32,9 +25,6 @@ export const outputHandleStyles: CSSProperties = {
 };
 
 type FieldHandleProps = {
-  nodeProps: NodeProps<InvocationNodeData>;
-  nodeTemplate: InvocationTemplate;
-  field: InputFieldValue | OutputFieldValue;
   fieldTemplate: InputFieldTemplate | OutputFieldTemplate;
   handleType: HandleType;
   isConnectionInProgress: boolean;
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/FieldTitle.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/FieldTitle.tsx
index fc239addf3..e9a49989f6 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/FieldTitle.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/FieldTitle.tsx
@@ -8,13 +8,11 @@ import {
 import { useAppDispatch } from 'app/store/storeHooks';
 import IAIDraggable from 'common/components/IAIDraggable';
 import { NodeFieldDraggableData } from 'features/dnd/types';
-import { fieldLabelChanged } from 'features/nodes/store/nodesSlice';
 import {
-  InputFieldTemplate,
-  InputFieldValue,
-  InvocationNodeData,
-  InvocationTemplate,
-} from 'features/nodes/types/types';
+  useFieldData,
+  useFieldTemplate,
+} from 'features/nodes/hooks/useNodeData';
+import { fieldLabelChanged } from 'features/nodes/store/nodesSlice';
 import {
   MouseEvent,
   memo,
@@ -25,41 +23,43 @@ import {
 } from 'react';
 
 interface Props {
-  nodeData: InvocationNodeData;
-  nodeTemplate: InvocationTemplate;
-  field: InputFieldValue;
-  fieldTemplate: InputFieldTemplate;
+  nodeId: string;
+  fieldName: string;
   isDraggable?: boolean;
+  kind: 'input' | 'output';
 }
 
 const FieldTitle = (props: Props) => {
-  const { nodeData, field, fieldTemplate, isDraggable = false } = props;
-  const { label } = field;
-  const { title, input } = fieldTemplate;
-  const { id: nodeId } = nodeData;
+  const { nodeId, fieldName, isDraggable = false, kind } = props;
+  const fieldTemplate = useFieldTemplate(nodeId, fieldName, kind);
+  const field = useFieldData(nodeId, fieldName);
+
   const dispatch = useAppDispatch();
-  const [localTitle, setLocalTitle] = useState(label || title);
+  const [localTitle, setLocalTitle] = useState(
+    field?.label || fieldTemplate?.title || 'Unknown Field'
+  );
 
   const draggableData: NodeFieldDraggableData | undefined = useMemo(
     () =>
-      input !== 'connection' && isDraggable
+      field &&
+      fieldTemplate?.fieldKind === 'input' &&
+      fieldTemplate?.input !== 'connection' &&
+      isDraggable
         ? {
-            id: `${nodeId}-${field.name}`,
+            id: `${nodeId}-${fieldName}`,
             payloadType: 'NODE_FIELD',
             payload: { nodeId, field, fieldTemplate },
           }
         : undefined,
-    [field, fieldTemplate, input, isDraggable, nodeId]
+    [field, fieldName, fieldTemplate, isDraggable, nodeId]
   );
 
   const handleSubmit = useCallback(
     async (newTitle: string) => {
-      dispatch(
-        fieldLabelChanged({ nodeId, fieldName: field.name, label: newTitle })
-      );
-      setLocalTitle(newTitle || title);
+      dispatch(fieldLabelChanged({ nodeId, fieldName, label: newTitle }));
+      setLocalTitle(newTitle || fieldTemplate?.title || 'Unknown Field');
     },
-    [dispatch, nodeId, field.name, title]
+    [dispatch, nodeId, fieldName, fieldTemplate?.title]
   );
 
   const handleChange = useCallback((newTitle: string) => {
@@ -68,8 +68,8 @@ const FieldTitle = (props: Props) => {
 
   useEffect(() => {
     // Another component may change the title; sync local title with global state
-    setLocalTitle(label || title);
-  }, [label, title]);
+    setLocalTitle(field?.label || fieldTemplate?.title || 'Unknown Field');
+  }, [field?.label, fieldTemplate?.title]);
 
   return (
     <Flex
@@ -120,7 +120,7 @@ type EditableControlsProps = {
   draggableData?: NodeFieldDraggableData;
 };
 
-function EditableControls(props: EditableControlsProps) {
+const EditableControls = memo((props: EditableControlsProps) => {
   const { isEditing, getEditButtonProps } = useEditableControls();
   const handleDoubleClick = useCallback(
     (e: MouseEvent<HTMLDivElement>) => {
@@ -158,4 +158,6 @@ function EditableControls(props: EditableControlsProps) {
       cursor="text"
     />
   );
-}
+});
+
+EditableControls.displayName = 'EditableControls';
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/FieldTooltipContent.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/FieldTooltipContent.tsx
index bf5cd3cd9b..cbe75ca580 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/FieldTooltipContent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/FieldTooltipContent.tsx
@@ -1,38 +1,53 @@
 import { Flex, Text } from '@chakra-ui/react';
+import {
+  useFieldData,
+  useFieldTemplate,
+} from 'features/nodes/hooks/useNodeData';
 import { FIELDS } from 'features/nodes/types/constants';
 import {
-  InputFieldTemplate,
-  InputFieldValue,
-  InvocationNodeData,
-  InvocationTemplate,
-  OutputFieldTemplate,
-  OutputFieldValue,
   isInputFieldTemplate,
   isInputFieldValue,
 } from 'features/nodes/types/types';
 import { startCase } from 'lodash-es';
+import { useMemo } from 'react';
 
 interface Props {
-  nodeData: InvocationNodeData;
-  nodeTemplate: InvocationTemplate;
-  field: InputFieldValue | OutputFieldValue;
-  fieldTemplate: InputFieldTemplate | OutputFieldTemplate;
+  nodeId: string;
+  fieldName: string;
+  kind: 'input' | 'output';
 }
 
-const FieldTooltipContent = ({ field, fieldTemplate }: Props) => {
+const FieldTooltipContent = ({ nodeId, fieldName, kind }: Props) => {
+  const field = useFieldData(nodeId, fieldName);
+  const fieldTemplate = useFieldTemplate(nodeId, fieldName, kind);
   const isInputTemplate = isInputFieldTemplate(fieldTemplate);
+  const fieldTitle = useMemo(() => {
+    if (isInputFieldValue(field)) {
+      if (field.label && fieldTemplate) {
+        return `${field.label} (${fieldTemplate.title})`;
+      }
+
+      if (field.label && !fieldTemplate) {
+        return field.label;
+      }
+
+      if (!field.label && fieldTemplate) {
+        return fieldTemplate.title;
+      }
+
+      return 'Unknown Field';
+    }
+  }, [field, fieldTemplate]);
 
   return (
     <Flex sx={{ flexDir: 'column' }}>
-      <Text sx={{ fontWeight: 600 }}>
-        {isInputFieldValue(field) && field.label
-          ? `${field.label} (${fieldTemplate.title})`
-          : fieldTemplate.title}
-      </Text>
-      <Text sx={{ opacity: 0.7, fontStyle: 'oblique 5deg' }}>
-        {fieldTemplate.description}
-      </Text>
-      <Text>Type: {FIELDS[fieldTemplate.type].title}</Text>
+      <Text sx={{ fontWeight: 600 }}>{fieldTitle}</Text>
+      {fieldTemplate && (
+        <Text sx={{ opacity: 0.7, fontStyle: 'oblique 5deg' }}>
+          {fieldTemplate.description}
+        </Text>
+      )}
+      {fieldTemplate && <Text>Type: {FIELDS[fieldTemplate.type].title}</Text>}
       {isInputTemplate && <Text>Input: {startCase(fieldTemplate.input)}</Text>}
     </Flex>
   );
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/InputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/InputField.tsx
index 67f4369384..47033baa7b 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/InputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/InputField.tsx
@@ -1,27 +1,24 @@
 import { Flex, FormControl, FormLabel, Tooltip } from '@chakra-ui/react';
 import { useConnectionState } from 'features/nodes/hooks/useConnectionState';
-import { HANDLE_TOOLTIP_OPEN_DELAY } from 'features/nodes/types/constants';
 import {
-  InputFieldValue,
-  InvocationNodeData,
-  InvocationTemplate,
-} from 'features/nodes/types/types';
-import { PropsWithChildren, useMemo } from 'react';
-import { NodeProps } from 'reactflow';
+  useDoesInputHaveValue,
+  useFieldTemplate,
+} from 'features/nodes/hooks/useNodeData';
+import { HANDLE_TOOLTIP_OPEN_DELAY } from 'features/nodes/types/constants';
+import { PropsWithChildren, memo, useMemo } from 'react';
 import FieldHandle from './FieldHandle';
 import FieldTitle from './FieldTitle';
 import FieldTooltipContent from './FieldTooltipContent';
 import InputFieldRenderer from './InputFieldRenderer';
 
 interface Props {
-  nodeProps: NodeProps<InvocationNodeData>;
-  nodeTemplate: InvocationTemplate;
-  field: InputFieldValue;
+  nodeId: string;
+  fieldName: string;
 }
 
-const InputField = (props: Props) => {
-  const { nodeProps, nodeTemplate, field } = props;
-  const { id: nodeId } = nodeProps.data;
+const InputField = ({ nodeId, fieldName }: Props) => {
+  const fieldTemplate = useFieldTemplate(nodeId, fieldName, 'input');
+  const doesFieldHaveValue = useDoesInputHaveValue(nodeId, fieldName);
 
   const {
     isConnected,
@@ -29,15 +26,10 @@ const InputField = (props: Props) => {
     isConnectionStartField,
     connectionError,
     shouldDim,
-  } = useConnectionState({ nodeId, field, kind: 'input' });
-
-  const fieldTemplate = useMemo(
-    () => nodeTemplate.inputs[field.name],
-    [field.name, nodeTemplate.inputs]
-  );
+  } = useConnectionState({ nodeId, fieldName, kind: 'input' });
 
   const isMissingInput = useMemo(() => {
-    if (!fieldTemplate) {
+    if (fieldTemplate?.fieldKind !== 'input') {
       return false;
     }
 
@@ -49,18 +41,18 @@ const InputField = (props: Props) => {
       return true;
     }
 
-    if (!field.value && !isConnected && fieldTemplate.input === 'any') {
+    if (!doesFieldHaveValue && !isConnected && fieldTemplate.input === 'any') {
       return true;
     }
-  }, [fieldTemplate, isConnected, field.value]);
+  }, [fieldTemplate, isConnected, doesFieldHaveValue]);
 
-  if (!fieldTemplate) {
+  if (fieldTemplate?.fieldKind !== 'input') {
     return (
       <InputFieldWrapper shouldDim={shouldDim}>
         <FormControl
           sx={{ color: 'error.400', textAlign: 'left', fontSize: 'sm' }}
         >
-          Unknown input: {field.name}
+          Unknown input: {fieldName}
         </FormControl>
       </InputFieldWrapper>
     );
@@ -82,10 +74,9 @@ const InputField = (props: Props) => {
         <Tooltip
           label={
             <FieldTooltipContent
-              nodeData={nodeProps.data}
-              nodeTemplate={nodeTemplate}
-              field={field}
-              fieldTemplate={fieldTemplate}
+              nodeId={nodeId}
+              fieldName={fieldName}
+              kind="input"
             />
           }
           openDelay={HANDLE_TOOLTIP_OPEN_DELAY}
@@ -95,27 +86,18 @@ const InputField = (props: Props) => {
         >
           <FormLabel sx={{ mb: 0 }}>
             <FieldTitle
-              nodeData={nodeProps.data}
-              nodeTemplate={nodeTemplate}
-              field={field}
-              fieldTemplate={fieldTemplate}
+              nodeId={nodeId}
+              fieldName={fieldName}
+              kind="input"
               isDraggable
             />
           </FormLabel>
         </Tooltip>
-        <InputFieldRenderer
-          nodeData={nodeProps.data}
-          nodeTemplate={nodeTemplate}
-          field={field}
-          fieldTemplate={fieldTemplate}
-        />
+        <InputFieldRenderer nodeId={nodeId} fieldName={fieldName} />
       </FormControl>
 
       {fieldTemplate.input !== 'direct' && (
         <FieldHandle
-          nodeProps={nodeProps}
-          nodeTemplate={nodeTemplate}
-          field={field}
           fieldTemplate={fieldTemplate}
           handleType="target"
           isConnectionInProgress={isConnectionInProgress}
@@ -133,21 +115,25 @@ type InputFieldWrapperProps = PropsWithChildren<{
   shouldDim: boolean;
 }>;
 
-const InputFieldWrapper = ({ shouldDim, children }: InputFieldWrapperProps) => (
-  <Flex
-    className="nopan"
-    sx={{
-      position: 'relative',
-      minH: 8,
-      py: 0.5,
-      alignItems: 'center',
-      opacity: shouldDim ? 0.5 : 1,
-      transitionProperty: 'opacity',
-      transitionDuration: '0.1s',
-      w: 'full',
-      h: 'full',
-    }}
-  >
-    {children}
-  </Flex>
+const InputFieldWrapper = memo(
+  ({ shouldDim, children }: InputFieldWrapperProps) => (
+    <Flex
+      className="nopan"
+      sx={{
+        position: 'relative',
+        minH: 8,
+        py: 0.5,
+        alignItems: 'center',
+        opacity: shouldDim ? 0.5 : 1,
+        transitionProperty: 'opacity',
+        transitionDuration: '0.1s',
+        w: 'full',
+        h: 'full',
+      }}
+    >
+      {children}
+    </Flex>
+  )
 );
+
+InputFieldWrapper.displayName = 'InputFieldWrapper';
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/InputFieldRenderer.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/InputFieldRenderer.tsx
index 0eae336a1e..acec921d8e 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/InputFieldRenderer.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/InputFieldRenderer.tsx
@@ -1,11 +1,9 @@
 import { Box } from '@chakra-ui/react';
-import { memo } from 'react';
 import {
-  InputFieldTemplate,
-  InputFieldValue,
-  InvocationNodeData,
-  InvocationTemplate,
-} from '../../types/types';
+  useFieldData,
+  useFieldTemplate,
+} from 'features/nodes/hooks/useNodeData';
+import { memo } from 'react';
 import BooleanInputField from './fieldTypes/BooleanInputField';
 import ClipInputField from './fieldTypes/ClipInputField';
 import CollectionInputField from './fieldTypes/CollectionInputField';
@@ -29,33 +27,33 @@ import VaeInputField from './fieldTypes/VaeInputField';
 import VaeModelInputField from './fieldTypes/VaeModelInputField';
 
 type InputFieldProps = {
-  nodeData: InvocationNodeData;
-  nodeTemplate: InvocationTemplate;
-  field: InputFieldValue;
-  fieldTemplate: InputFieldTemplate;
+  nodeId: string;
+  fieldName: string;
 };
 
 // build an individual input element based on the schema
-const InputFieldRenderer = (props: InputFieldProps) => {
-  const { nodeData, nodeTemplate, field, fieldTemplate } = props;
-  const { type } = field;
+const InputFieldRenderer = ({ nodeId, fieldName }: InputFieldProps) => {
+  const field = useFieldData(nodeId, fieldName);
+  const fieldTemplate = useFieldTemplate(nodeId, fieldName, 'input');
 
-  if (type === 'string' && fieldTemplate.type === 'string') {
+  if (fieldTemplate?.fieldKind === 'output') {
+    return <Box p={2}>Output field in input: {field?.type}</Box>;
+  }
+
+  if (field?.type === 'string' && fieldTemplate?.type === 'string') {
     return (
       <StringInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
+        nodeId={nodeId}
         field={field}
         fieldTemplate={fieldTemplate}
       />
     );
   }
 
-  if (type === 'boolean' && fieldTemplate.type === 'boolean') {
+  if (field?.type === 'boolean' && fieldTemplate?.type === 'boolean') {
     return (
       <BooleanInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
+        nodeId={nodeId}
         field={field}
         fieldTemplate={fieldTemplate}
       />
@@ -63,46 +61,32 @@ const InputFieldRenderer = (props: InputFieldProps) => {
   }
 
   if (
-    (type === 'integer' && fieldTemplate.type === 'integer') ||
-    (type === 'float' && fieldTemplate.type === 'float')
+    (field?.type === 'integer' && fieldTemplate?.type === 'integer') ||
+    (field?.type === 'float' && fieldTemplate?.type === 'float')
   ) {
     return (
       <NumberInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
+        nodeId={nodeId}
         field={field}
         fieldTemplate={fieldTemplate}
       />
     );
   }
 
-  if (type === 'enum' && fieldTemplate.type === 'enum') {
+  if (field?.type === 'enum' && fieldTemplate?.type === 'enum') {
     return (
       <EnumInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
+        nodeId={nodeId}
         field={field}
         fieldTemplate={fieldTemplate}
       />
     );
   }
 
-  if (type === 'ImageField' && fieldTemplate.type === 'ImageField') {
+  if (field?.type === 'ImageField' && fieldTemplate?.type === 'ImageField') {
     return (
       <ImageInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
-        field={field}
-        fieldTemplate={fieldTemplate}
-      />
-    );
-  }
-
-  if (type === 'LatentsField' && fieldTemplate.type === 'LatentsField') {
-    return (
-      <LatentsInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
+        nodeId={nodeId}
         field={field}
         fieldTemplate={fieldTemplate}
       />
@@ -110,68 +94,55 @@ const InputFieldRenderer = (props: InputFieldProps) => {
   }
 
   if (
-    type === 'ConditioningField' &&
-    fieldTemplate.type === 'ConditioningField'
+    field?.type === 'LatentsField' &&
+    fieldTemplate?.type === 'LatentsField'
+  ) {
+    return (
+      <LatentsInputField
+        nodeId={nodeId}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (
+    field?.type === 'ConditioningField' &&
+    fieldTemplate?.type === 'ConditioningField'
   ) {
     return (
       <ConditioningInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
+        nodeId={nodeId}
         field={field}
         fieldTemplate={fieldTemplate}
       />
     );
   }
 
-  if (type === 'UNetField' && fieldTemplate.type === 'UNetField') {
+  if (field?.type === 'UNetField' && fieldTemplate?.type === 'UNetField') {
     return (
       <UnetInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
+        nodeId={nodeId}
         field={field}
         fieldTemplate={fieldTemplate}
       />
     );
   }
 
-  if (type === 'ClipField' && fieldTemplate.type === 'ClipField') {
+  if (field?.type === 'ClipField' && fieldTemplate?.type === 'ClipField') {
     return (
       <ClipInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
+        nodeId={nodeId}
         field={field}
         fieldTemplate={fieldTemplate}
       />
     );
   }
 
-  if (type === 'VaeField' && fieldTemplate.type === 'VaeField') {
+  if (field?.type === 'VaeField' && fieldTemplate?.type === 'VaeField') {
     return (
       <VaeInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
-        field={field}
-        fieldTemplate={fieldTemplate}
-      />
-    );
-  }
-
-  if (type === 'ControlField' && fieldTemplate.type === 'ControlField') {
-    return (
-      <ControlInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
-        field={field}
-        fieldTemplate={fieldTemplate}
-      />
-    );
-  }
-
-  if (type === 'MainModelField' && fieldTemplate.type === 'MainModelField') {
-    return (
-      <MainModelInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
+        nodeId={nodeId}
         field={field}
         fieldTemplate={fieldTemplate}
       />
@@ -179,35 +150,38 @@ const InputFieldRenderer = (props: InputFieldProps) => {
   }
 
   if (
-    type === 'SDXLRefinerModelField' &&
-    fieldTemplate.type === 'SDXLRefinerModelField'
+    field?.type === 'ControlField' &&
+    fieldTemplate?.type === 'ControlField'
+  ) {
+    return (
+      <ControlInputField
+        nodeId={nodeId}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (
+    field?.type === 'MainModelField' &&
+    fieldTemplate?.type === 'MainModelField'
+  ) {
+    return (
+      <MainModelInputField
+        nodeId={nodeId}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (
+    field?.type === 'SDXLRefinerModelField' &&
+    fieldTemplate?.type === 'SDXLRefinerModelField'
   ) {
     return (
       <RefinerModelInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
-        field={field}
-        fieldTemplate={fieldTemplate}
-      />
-    );
-  }
-
-  if (type === 'VaeModelField' && fieldTemplate.type === 'VaeModelField') {
-    return (
-      <VaeModelInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
-        field={field}
-        fieldTemplate={fieldTemplate}
-      />
-    );
-  }
-
-  if (type === 'LoRAModelField' && fieldTemplate.type === 'LoRAModelField') {
-    return (
-      <LoRAModelInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
+        nodeId={nodeId}
         field={field}
         fieldTemplate={fieldTemplate}
       />
@@ -215,57 +189,48 @@ const InputFieldRenderer = (props: InputFieldProps) => {
   }
 
   if (
-    type === 'ControlNetModelField' &&
-    fieldTemplate.type === 'ControlNetModelField'
+    field?.type === 'VaeModelField' &&
+    fieldTemplate?.type === 'VaeModelField'
+  ) {
+    return (
+      <VaeModelInputField
+        nodeId={nodeId}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (
+    field?.type === 'LoRAModelField' &&
+    fieldTemplate?.type === 'LoRAModelField'
+  ) {
+    return (
+      <LoRAModelInputField
+        nodeId={nodeId}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (
+    field?.type === 'ControlNetModelField' &&
+    fieldTemplate?.type === 'ControlNetModelField'
   ) {
     return (
       <ControlNetModelInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
+        nodeId={nodeId}
         field={field}
         fieldTemplate={fieldTemplate}
       />
     );
   }
 
-  if (type === 'Collection' && fieldTemplate.type === 'Collection') {
+  if (field?.type === 'Collection' && fieldTemplate?.type === 'Collection') {
     return (
       <CollectionInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
-        field={field}
-        fieldTemplate={fieldTemplate}
-      />
-    );
-  }
-
-  if (type === 'CollectionItem' && fieldTemplate.type === 'CollectionItem') {
-    return (
-      <CollectionItemInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
-        field={field}
-        fieldTemplate={fieldTemplate}
-      />
-    );
-  }
-
-  if (type === 'ColorField' && fieldTemplate.type === 'ColorField') {
-    return (
-      <ColorInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
-        field={field}
-        fieldTemplate={fieldTemplate}
-      />
-    );
-  }
-
-  if (type === 'ImageCollection' && fieldTemplate.type === 'ImageCollection') {
-    return (
-      <ImageCollectionInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
+        nodeId={nodeId}
         field={field}
         fieldTemplate={fieldTemplate}
       />
@@ -273,20 +238,55 @@ const InputFieldRenderer = (props: InputFieldProps) => {
   }
 
   if (
-    type === 'SDXLMainModelField' &&
-    fieldTemplate.type === 'SDXLMainModelField'
+    field?.type === 'CollectionItem' &&
+    fieldTemplate?.type === 'CollectionItem'
   ) {
     return (
-      <SDXLMainModelInputField
-        nodeData={nodeData}
-        nodeTemplate={nodeTemplate}
+      <CollectionItemInputField
+        nodeId={nodeId}
         field={field}
         fieldTemplate={fieldTemplate}
       />
     );
   }
 
-  return <Box p={2}>Unknown field type: {type}</Box>;
+  if (field?.type === 'ColorField' && fieldTemplate?.type === 'ColorField') {
+    return (
+      <ColorInputField
+        nodeId={nodeId}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (
+    field?.type === 'ImageCollection' &&
+    fieldTemplate?.type === 'ImageCollection'
+  ) {
+    return (
+      <ImageCollectionInputField
+        nodeId={nodeId}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  if (
+    field?.type === 'SDXLMainModelField' &&
+    fieldTemplate?.type === 'SDXLMainModelField'
+  ) {
+    return (
+      <SDXLMainModelInputField
+        nodeId={nodeId}
+        field={field}
+        fieldTemplate={fieldTemplate}
+      />
+    );
+  }
+
+  return <Box p={2}>Unknown field type: {field?.type}</Box>;
 };
 
 export default memo(InputFieldRenderer);
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/LinearViewField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/LinearViewField.tsx
index 98a8000b1a..ea4bb76d62 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/LinearViewField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/LinearViewField.tsx
@@ -1,39 +1,16 @@
 import { Flex, FormControl, FormLabel, Tooltip } from '@chakra-ui/react';
 import { HANDLE_TOOLTIP_OPEN_DELAY } from 'features/nodes/types/constants';
-import {
-  InputFieldTemplate,
-  InputFieldValue,
-  InvocationNodeData,
-  InvocationTemplate,
-} from 'features/nodes/types/types';
 import { memo } from 'react';
 import FieldTitle from './FieldTitle';
 import FieldTooltipContent from './FieldTooltipContent';
 import InputFieldRenderer from './InputFieldRenderer';
 
 type Props = {
-  nodeData: InvocationNodeData;
-  nodeTemplate: InvocationTemplate;
-  field: InputFieldValue;
-  fieldTemplate: InputFieldTemplate;
+  nodeId: string;
+  fieldName: string;
 };
 
-const LinearViewField = ({
-  nodeData,
-  nodeTemplate,
-  field,
-  fieldTemplate,
-}: Props) => {
-  // const dispatch = useAppDispatch();
-  // const handleRemoveField = useCallback(() => {
-  //   dispatch(
-  //     workflowExposedFieldRemoved({
-  //       nodeId: nodeData.id,
-  //       fieldName: field.name,
-  //     })
-  //   );
-  // }, [dispatch, field.name, nodeData.id]);
-
+const LinearViewField = ({ nodeId, fieldName }: Props) => {
   return (
     <Flex
       layerStyle="second"
@@ -48,10 +25,9 @@ const LinearViewField = ({
         <Tooltip
           label={
             <FieldTooltipContent
-              nodeData={nodeData}
-              nodeTemplate={nodeTemplate}
-              field={field}
-              fieldTemplate={fieldTemplate}
+              nodeId={nodeId}
+              fieldName={fieldName}
+              kind="input"
             />
           }
           openDelay={HANDLE_TOOLTIP_OPEN_DELAY}
@@ -66,20 +42,10 @@ const LinearViewField = ({
               mb: 0,
             }}
           >
-            <FieldTitle
-              nodeData={nodeData}
-              nodeTemplate={nodeTemplate}
-              field={field}
-              fieldTemplate={fieldTemplate}
-            />
+            <FieldTitle nodeId={nodeId} fieldName={fieldName} kind="input" />
           </FormLabel>
         </Tooltip>
-        <InputFieldRenderer
-          nodeData={nodeData}
-          nodeTemplate={nodeTemplate}
-          field={field}
-          fieldTemplate={fieldTemplate}
-        />
+        <InputFieldRenderer nodeId={nodeId} fieldName={fieldName} />
       </FormControl>
     </Flex>
   );
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/OutputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/OutputField.tsx
index 5a29d1ab7e..2a257d741e 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/OutputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/OutputField.tsx
@@ -6,25 +6,19 @@ import {
   Tooltip,
 } from '@chakra-ui/react';
 import { useConnectionState } from 'features/nodes/hooks/useConnectionState';
+import { useFieldTemplate } from 'features/nodes/hooks/useNodeData';
 import { HANDLE_TOOLTIP_OPEN_DELAY } from 'features/nodes/types/constants';
-import {
-  InvocationNodeData,
-  InvocationTemplate,
-  OutputFieldValue,
-} from 'features/nodes/types/types';
-import { PropsWithChildren, useMemo } from 'react';
-import { NodeProps } from 'reactflow';
+import { PropsWithChildren, memo } from 'react';
 import FieldHandle from './FieldHandle';
 import FieldTooltipContent from './FieldTooltipContent';
 
 interface Props {
-  nodeProps: NodeProps<InvocationNodeData>;
-  nodeTemplate: InvocationTemplate;
-  field: OutputFieldValue;
+  nodeId: string;
+  fieldName: string;
 }
 
-const OutputField = (props: Props) => {
-  const { nodeTemplate, nodeProps, field } = props;
+const OutputField = ({ nodeId, fieldName }: Props) => {
+  const fieldTemplate = useFieldTemplate(nodeId, fieldName, 'output');
 
   const {
     isConnected,
@@ -32,20 +26,15 @@ const OutputField = (props: Props) => {
     isConnectionStartField,
     connectionError,
     shouldDim,
-  } = useConnectionState({ nodeId: nodeProps.data.id, field, kind: 'output' });
+  } = useConnectionState({ nodeId, fieldName, kind: 'output' });
 
-  const fieldTemplate = useMemo(
-    () => nodeTemplate.outputs[field.name],
-    [field.name, nodeTemplate]
-  );
-
-  if (!fieldTemplate) {
+  if (fieldTemplate?.fieldKind !== 'output') {
     return (
       <OutputFieldWrapper shouldDim={shouldDim}>
         <FormControl
           sx={{ color: 'error.400', textAlign: 'right', fontSize: 'sm' }}
         >
-          Unknown output: {field.name}
+          Unknown output: {fieldName}
         </FormControl>
       </OutputFieldWrapper>
     );
@@ -57,10 +46,9 @@ const OutputField = (props: Props) => {
       <Tooltip
         label={
           <FieldTooltipContent
-            nodeData={nodeProps.data}
-            nodeTemplate={nodeTemplate}
-            field={field}
-            fieldTemplate={fieldTemplate}
+            nodeId={nodeId}
+            fieldName={fieldName}
+            kind="output"
           />
         }
         openDelay={HANDLE_TOOLTIP_OPEN_DELAY}
@@ -75,9 +63,6 @@ const OutputField = (props: Props) => {
         </FormControl>
       </Tooltip>
       <FieldHandle
-        nodeProps={nodeProps}
-        nodeTemplate={nodeTemplate}
-        field={field}
         fieldTemplate={fieldTemplate}
         handleType="source"
         isConnectionInProgress={isConnectionInProgress}
@@ -88,27 +73,28 @@ const OutputField = (props: Props) => {
   );
 };
 
-export default OutputField;
+export default memo(OutputField);
 
 type OutputFieldWrapperProps = PropsWithChildren<{
   shouldDim: boolean;
 }>;
 
-const OutputFieldWrapper = ({
-  shouldDim,
-  children,
-}: OutputFieldWrapperProps) => (
-  <Flex
-    sx={{
-      position: 'relative',
-      minH: 8,
-      py: 0.5,
-      alignItems: 'center',
-      opacity: shouldDim ? 0.5 : 1,
-      transitionProperty: 'opacity',
-      transitionDuration: '0.1s',
-    }}
-  >
-    {children}
-  </Flex>
+const OutputFieldWrapper = memo(
+  ({ shouldDim, children }: OutputFieldWrapperProps) => (
+    <Flex
+      sx={{
+        position: 'relative',
+        minH: 8,
+        py: 0.5,
+        alignItems: 'center',
+        opacity: shouldDim ? 0.5 : 1,
+        transitionProperty: 'opacity',
+        transitionDuration: '0.1s',
+      }}
+    >
+      {children}
+    </Flex>
+  )
 );
+
+OutputFieldWrapper.displayName = 'OutputFieldWrapper';
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/BooleanInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/BooleanInputField.tsx
index 00a2d2bd10..daf2f598ba 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/BooleanInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/BooleanInputField.tsx
@@ -11,8 +11,7 @@ import { FieldComponentProps } from './types';
 const BooleanInputFieldComponent = (
   props: FieldComponentProps<BooleanInputFieldValue, BooleanInputFieldTemplate>
 ) => {
-  const { nodeData, field } = props;
-  const nodeId = nodeData.id;
+  const { nodeId, field } = props;
 
   const dispatch = useAppDispatch();
 
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ColorInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ColorInputField.tsx
index c4a4d19a1e..422c3ba48f 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ColorInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ColorInputField.tsx
@@ -11,8 +11,7 @@ import { FieldComponentProps } from './types';
 const ColorInputFieldComponent = (
   props: FieldComponentProps<ColorInputFieldValue, ColorInputFieldTemplate>
 ) => {
-  const { nodeData, field } = props;
-  const nodeId = nodeData.id;
+  const { nodeId, field } = props;
 
   const dispatch = useAppDispatch();
 
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ControlNetModelInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ControlNetModelInputField.tsx
index f955d6f002..492ec51d20 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ControlNetModelInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ControlNetModelInputField.tsx
@@ -19,8 +19,7 @@ const ControlNetModelInputFieldComponent = (
     ControlNetModelInputFieldTemplate
   >
 ) => {
-  const { nodeData, field } = props;
-  const nodeId = nodeData.id;
+  const { nodeId, field } = props;
   const controlNetModel = field.value;
   const dispatch = useAppDispatch();
 
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/EnumInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/EnumInputField.tsx
index 210a83b6ac..ebf3593526 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/EnumInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/EnumInputField.tsx
@@ -11,8 +11,7 @@ import { FieldComponentProps } from './types';
 const EnumInputFieldComponent = (
   props: FieldComponentProps<EnumInputFieldValue, EnumInputFieldTemplate>
 ) => {
-  const { nodeData, field, fieldTemplate } = props;
-  const nodeId = nodeData.id;
+  const { nodeId, field, fieldTemplate } = props;
 
   const dispatch = useAppDispatch();
 
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageCollectionInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageCollectionInputField.tsx
index 1ca820939b..4efd0b7775 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageCollectionInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageCollectionInputField.tsx
@@ -19,8 +19,7 @@ const ImageCollectionInputFieldComponent = (
     ImageCollectionInputFieldTemplate
   >
 ) => {
-  const { nodeData, field } = props;
-  const nodeId = nodeData.id;
+  const { nodeId, field } = props;
 
   // const dispatch = useAppDispatch();
 
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageInputField.tsx
index f9f9c404d7..0391136dba 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/ImageInputField.tsx
@@ -21,8 +21,7 @@ import { FieldComponentProps } from './types';
 const ImageInputFieldComponent = (
   props: FieldComponentProps<ImageInputFieldValue, ImageInputFieldTemplate>
 ) => {
-  const { nodeData, field } = props;
-  const nodeId = nodeData.id;
+  const { nodeId, field } = props;
   const dispatch = useAppDispatch();
 
   const { currentData: imageDTO } = useGetImageDTOQuery(
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/LoRAModelInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/LoRAModelInputField.tsx
index 8aae6ee9a4..4f8347bbe8 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/LoRAModelInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/LoRAModelInputField.tsx
@@ -21,8 +21,7 @@ const LoRAModelInputFieldComponent = (
     LoRAModelInputFieldTemplate
   >
 ) => {
-  const { nodeData, field } = props;
-  const nodeId = nodeData.id;
+  const { nodeId, field } = props;
   const lora = field.value;
   const dispatch = useAppDispatch();
   const { data: loraModels } = useGetLoRAModelsQuery();
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/MainModelInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/MainModelInputField.tsx
index f1047f52cb..681a597235 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/MainModelInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/MainModelInputField.tsx
@@ -26,8 +26,7 @@ const MainModelInputFieldComponent = (
     MainModelInputFieldTemplate
   >
 ) => {
-  const { nodeData, field } = props;
-  const nodeId = nodeData.id;
+  const { nodeId, field } = props;
   const dispatch = useAppDispatch();
   const isSyncModelEnabled = useFeatureStatus('syncModels').isFeatureEnabled;
 
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/NumberInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/NumberInputField.tsx
index 907f90130d..df5c3f763e 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/NumberInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/NumberInputField.tsx
@@ -23,8 +23,7 @@ const NumberInputFieldComponent = (
     IntegerInputFieldTemplate | FloatInputFieldTemplate
   >
 ) => {
-  const { nodeData, field, fieldTemplate } = props;
-  const nodeId = nodeData.id;
+  const { nodeId, field, fieldTemplate } = props;
   const dispatch = useAppDispatch();
   const [valueAsString, setValueAsString] = useState<string>(
     String(field.value)
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/RefinerModelInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/RefinerModelInputField.tsx
index 4a419b51d6..0eec884de0 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/RefinerModelInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/RefinerModelInputField.tsx
@@ -24,8 +24,7 @@ const RefinerModelInputFieldComponent = (
     SDXLRefinerModelInputFieldTemplate
   >
 ) => {
-  const { nodeData, field } = props;
-  const nodeId = nodeData.id;
+  const { nodeId, field } = props;
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
   const isSyncModelEnabled = useFeatureStatus('syncModels').isFeatureEnabled;
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/SDXLMainModelInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/SDXLMainModelInputField.tsx
index 89bd6b2b65..e904aad246 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/SDXLMainModelInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/SDXLMainModelInputField.tsx
@@ -27,8 +27,7 @@ const ModelInputFieldComponent = (
     SDXLMainModelInputFieldTemplate
   >
 ) => {
-  const { nodeData, field } = props;
-  const nodeId = nodeData.id;
+  const { nodeId, field } = props;
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
   const isSyncModelEnabled = useFeatureStatus('syncModels').isFeatureEnabled;
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/StringInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/StringInputField.tsx
index 8cc0cf774f..c172e928d0 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/StringInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/StringInputField.tsx
@@ -12,8 +12,7 @@ import { FieldComponentProps } from './types';
 const StringInputFieldComponent = (
   props: FieldComponentProps<StringInputFieldValue, StringInputFieldTemplate>
 ) => {
-  const { nodeData, field, fieldTemplate } = props;
-  const nodeId = nodeData.id;
+  const { nodeId, field, fieldTemplate } = props;
   const dispatch = useAppDispatch();
 
   const handleValueChanged = useCallback(
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/VaeModelInputField.tsx b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/VaeModelInputField.tsx
index a8f6a24de4..5dd639cf5c 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/VaeModelInputField.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/VaeModelInputField.tsx
@@ -20,8 +20,7 @@ const VaeModelInputFieldComponent = (
     VaeModelInputFieldTemplate
   >
 ) => {
-  const { nodeData, field } = props;
-  const nodeId = nodeData.id;
+  const { nodeId, field } = props;
   const vae = field.value;
   const dispatch = useAppDispatch();
   const { data: vaeModels } = useGetVaeModelsQuery();
diff --git a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/types.ts b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/types.ts
index b1d14c9018..5a5e3a9dcf 100644
--- a/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/components/fields/fieldTypes/types.ts
@@ -1,16 +1,13 @@
 import {
   InputFieldTemplate,
   InputFieldValue,
-  InvocationNodeData,
-  InvocationTemplate,
 } from 'features/nodes/types/types';
 
 export type FieldComponentProps<
   V extends InputFieldValue,
   T extends InputFieldTemplate
 > = {
-  nodeData: InvocationNodeData;
-  nodeTemplate: InvocationTemplate;
+  nodeId: string;
   field: V;
   fieldTemplate: T;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/components/nodes/CurrentImageNode.tsx b/invokeai/frontend/web/src/features/nodes/components/nodes/CurrentImageNode.tsx
index 04e51159c6..985978f72d 100644
--- a/invokeai/frontend/web/src/features/nodes/components/nodes/CurrentImageNode.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/nodes/CurrentImageNode.tsx
@@ -55,7 +55,11 @@ const CurrentImageNode = (props: NodeProps) => {
 export default memo(CurrentImageNode);
 
 const Wrapper = (props: PropsWithChildren<{ nodeProps: NodeProps }>) => (
-  <NodeWrapper nodeProps={props.nodeProps} width={384}>
+  <NodeWrapper
+    nodeId={props.nodeProps.data.id}
+    selected={props.nodeProps.selected}
+    width={384}
+  >
     <Flex
       className={DRAG_HANDLE_CLASSNAME}
       sx={{
diff --git a/invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNodeWrapper.tsx b/invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNodeWrapper.tsx
index 47bd34c394..26bda27d8b 100644
--- a/invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNodeWrapper.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/nodes/InvocationNodeWrapper.tsx
@@ -1,5 +1,6 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
-import { makeTemplateSelector } from 'features/nodes/store/util/makeTemplateSelector';
 import { InvocationNodeData } from 'features/nodes/types/types';
 import { memo, useMemo } from 'react';
 import { NodeProps } from 'reactflow';
@@ -7,18 +8,40 @@ import InvocationNode from '../Invocation/InvocationNode';
 import UnknownNodeFallback from '../Invocation/UnknownNodeFallback';
 
 const InvocationNodeWrapper = (props: NodeProps<InvocationNodeData>) => {
-  const { data } = props;
-  const { type } = data;
+  const { data, selected } = props;
+  const { id: nodeId, type, isOpen, label } = data;
 
-  const templateSelector = useMemo(() => makeTemplateSelector(type), [type]);
+  const hasTemplateSelector = useMemo(
+    () =>
+      createSelector(stateSelector, ({ nodes }) =>
+        Boolean(nodes.nodeTemplates[type])
+      ),
+    [type]
+  );
 
-  const nodeTemplate = useAppSelector(templateSelector);
+  const nodeTemplate = useAppSelector(hasTemplateSelector);
 
   if (!nodeTemplate) {
-    return <UnknownNodeFallback nodeProps={props} />;
+    return (
+      <UnknownNodeFallback
+        nodeId={nodeId}
+        isOpen={isOpen}
+        label={label}
+        type={type}
+        selected={selected}
+      />
+    );
   }
 
-  return <InvocationNode nodeProps={props} nodeTemplate={nodeTemplate} />;
+  return (
+    <InvocationNode
+      nodeId={nodeId}
+      isOpen={isOpen}
+      label={label}
+      type={type}
+      selected={selected}
+    />
+  );
 };
 
 export default memo(InvocationNodeWrapper);
diff --git a/invokeai/frontend/web/src/features/nodes/components/nodes/NotesNode.tsx b/invokeai/frontend/web/src/features/nodes/components/nodes/NotesNode.tsx
index c3b035c6f3..7a46c11901 100644
--- a/invokeai/frontend/web/src/features/nodes/components/nodes/NotesNode.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/nodes/NotesNode.tsx
@@ -10,7 +10,7 @@ import NodeTitle from '../Invocation/NodeTitle';
 import NodeWrapper from '../Invocation/NodeWrapper';
 
 const NotesNode = (props: NodeProps<NotesNodeData>) => {
-  const { id: nodeId, data } = props;
+  const { id: nodeId, data, selected } = props;
   const { notes, isOpen } = data;
   const dispatch = useAppDispatch();
   const handleChange = useCallback(
@@ -21,7 +21,7 @@ const NotesNode = (props: NodeProps<NotesNodeData>) => {
   );
 
   return (
-    <NodeWrapper nodeProps={props}>
+    <NodeWrapper nodeId={nodeId} selected={selected}>
       <Flex
         layerStyle="nodeHeader"
         sx={{
@@ -32,8 +32,8 @@ const NotesNode = (props: NodeProps<NotesNodeData>) => {
           h: 8,
         }}
       >
-        <NodeCollapseButton nodeProps={props} />
-        <NodeTitle nodeData={props.data} title="Notes" />
+        <NodeCollapseButton nodeId={nodeId} isOpen={isOpen} />
+        <NodeTitle nodeId={nodeId} title="Notes" />
         <Box minW={8} />
       </Flex>
       {isOpen && (
diff --git a/invokeai/frontend/web/src/features/nodes/components/panel/InspectorPanel.tsx b/invokeai/frontend/web/src/features/nodes/components/panel/InspectorPanel.tsx
index 654b076eb8..587bea19ec 100644
--- a/invokeai/frontend/web/src/features/nodes/components/panel/InspectorPanel.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/panel/InspectorPanel.tsx
@@ -6,39 +6,11 @@ import {
   TabPanels,
   Tabs,
 } from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
-import { stateSelector } from 'app/store/store';
-import { useAppSelector } from 'app/store/storeHooks';
-import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
-import { IAINoContentFallback } from 'common/components/IAIImageFallback';
-import ImageMetadataJSON from 'features/gallery/components/ImageMetadataViewer/ImageMetadataJSON';
 import { memo } from 'react';
-
-const selector = createSelector(
-  stateSelector,
-  ({ nodes }) => {
-    const lastSelectedNodeId =
-      nodes.selectedNodes[nodes.selectedNodes.length - 1];
-
-    const lastSelectedNode = nodes.nodes.find(
-      (node) => node.id === lastSelectedNodeId
-    );
-
-    const lastSelectedNodeTemplate = lastSelectedNode
-      ? nodes.nodeTemplates[lastSelectedNode.data.type]
-      : undefined;
-
-    return {
-      node: lastSelectedNode,
-      template: lastSelectedNodeTemplate,
-    };
-  },
-  defaultSelectorOptions
-);
+import NodeDataInspector from './NodeDataInspector';
+import NodeTemplateInspector from './NodeTemplateInspector';
 
 const InspectorPanel = () => {
-  const { node, template } = useAppSelector(selector);
-
   return (
     <Flex
       layerStyle="first"
@@ -60,37 +32,10 @@ const InspectorPanel = () => {
 
         <TabPanels>
           <TabPanel>
-            {template ? (
-              <Flex
-                sx={{
-                  flexDir: 'column',
-                  alignItems: 'flex-start',
-                  gap: 2,
-                  h: 'full',
-                }}
-              >
-                <ImageMetadataJSON
-                  jsonObject={template}
-                  label="Node Template"
-                />
-              </Flex>
-            ) : (
-              <IAINoContentFallback
-                label={
-                  node
-                    ? 'No template found for selected node'
-                    : 'No node selected'
-                }
-                icon={null}
-              />
-            )}
+            <NodeTemplateInspector />
           </TabPanel>
           <TabPanel>
-            {node ? (
-              <ImageMetadataJSON jsonObject={node.data} label="Node Data" />
-            ) : (
-              <IAINoContentFallback label="No node selected" icon={null} />
-            )}
+            <NodeDataInspector />
           </TabPanel>
         </TabPanels>
       </Tabs>
diff --git a/invokeai/frontend/web/src/features/nodes/components/panel/NodeDataInspector.tsx b/invokeai/frontend/web/src/features/nodes/components/panel/NodeDataInspector.tsx
index 74b1620839..084f743d19 100644
--- a/invokeai/frontend/web/src/features/nodes/components/panel/NodeDataInspector.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/panel/NodeDataInspector.tsx
@@ -17,20 +17,20 @@ const selector = createSelector(
     );
 
     return {
-      node: lastSelectedNode,
+      data: lastSelectedNode?.data,
     };
   },
   defaultSelectorOptions
 );
 
 const NodeDataInspector = () => {
-  const { node } = useAppSelector(selector);
+  const { data } = useAppSelector(selector);
 
-  return node ? (
-    <ImageMetadataJSON jsonObject={node.data} label="Node Data" />
-  ) : (
-    <IAINoContentFallback label="No node data" icon={null} />
-  );
+  if (!data) {
+    return <IAINoContentFallback label="No node selected" icon={null} />;
+  }
+
+  return <ImageMetadataJSON jsonObject={data} label="Node Data" />;
 };
 
 export default memo(NodeDataInspector);
diff --git a/invokeai/frontend/web/src/features/nodes/components/panel/NodeTemplateInspector.tsx b/invokeai/frontend/web/src/features/nodes/components/panel/NodeTemplateInspector.tsx
new file mode 100644
index 0000000000..b483158b36
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/panel/NodeTemplateInspector.tsx
@@ -0,0 +1,40 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { IAINoContentFallback } from 'common/components/IAIImageFallback';
+import ImageMetadataJSON from 'features/gallery/components/ImageMetadataViewer/ImageMetadataJSON';
+import { memo } from 'react';
+
+const selector = createSelector(
+  stateSelector,
+  ({ nodes }) => {
+    const lastSelectedNodeId =
+      nodes.selectedNodes[nodes.selectedNodes.length - 1];
+
+    const lastSelectedNode = nodes.nodes.find(
+      (node) => node.id === lastSelectedNodeId
+    );
+
+    const lastSelectedNodeTemplate = lastSelectedNode
+      ? nodes.nodeTemplates[lastSelectedNode.data.type]
+      : undefined;
+
+    return {
+      template: lastSelectedNodeTemplate,
+    };
+  },
+  defaultSelectorOptions
+);
+
+const NodeTemplateInspector = () => {
+  const { template } = useAppSelector(selector);
+
+  if (!template) {
+    return <IAINoContentFallback label="No node selected" icon={null} />;
+  }
+
+  return <ImageMetadataJSON jsonObject={template} label="Node Template" />;
+};
+
+export default memo(NodeTemplateInspector);
diff --git a/invokeai/frontend/web/src/features/nodes/components/panel/workflow/LinearTab.tsx b/invokeai/frontend/web/src/features/nodes/components/panel/workflow/LinearTab.tsx
index 833fcc6839..cc7428a8ec 100644
--- a/invokeai/frontend/web/src/features/nodes/components/panel/workflow/LinearTab.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/panel/workflow/LinearTab.tsx
@@ -6,14 +6,6 @@ import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import IAIDroppable from 'common/components/IAIDroppable';
 import { IAINoContentFallback } from 'common/components/IAIImageFallback';
 import { AddFieldToLinearViewDropData } from 'features/dnd/types';
-import {
-  InputFieldTemplate,
-  InputFieldValue,
-  InvocationNodeData,
-  InvocationTemplate,
-  isInvocationNode,
-} from 'features/nodes/types/types';
-import { forEach } from 'lodash-es';
 import { memo } from 'react';
 import LinearViewField from '../../fields/LinearViewField';
 import ScrollableContent from '../ScrollableContent';
@@ -21,41 +13,8 @@ import ScrollableContent from '../ScrollableContent';
 const selector = createSelector(
   stateSelector,
   ({ nodes }) => {
-    const fields: {
-      nodeData: InvocationNodeData;
-      nodeTemplate: InvocationTemplate;
-      field: InputFieldValue;
-      fieldTemplate: InputFieldTemplate;
-    }[] = [];
-    const { exposedFields } = nodes.workflow;
-    nodes.nodes.filter(isInvocationNode).forEach((node) => {
-      const nodeTemplate = nodes.nodeTemplates[node.data.type];
-      if (!nodeTemplate) {
-        return;
-      }
-      forEach(node.data.inputs, (field) => {
-        if (
-          !exposedFields.some(
-            (f) => f.nodeId === node.id && f.fieldName === field.name
-          )
-        ) {
-          return;
-        }
-        const fieldTemplate = nodeTemplate.inputs[field.name];
-        if (!fieldTemplate) {
-          return;
-        }
-        fields.push({
-          nodeData: node.data,
-          nodeTemplate,
-          field,
-          fieldTemplate,
-        });
-      });
-    });
-
     return {
-      fields,
+      fields: nodes.workflow.exposedFields,
     };
   },
   defaultSelectorOptions
@@ -89,13 +48,11 @@ const LinearTabContent = () => {
           }}
         >
           {fields.length ? (
-            fields.map(({ nodeData, nodeTemplate, field, fieldTemplate }) => (
+            fields.map(({ nodeId, fieldName }) => (
               <LinearViewField
-                key={field.id}
-                nodeData={nodeData}
-                nodeTemplate={nodeTemplate}
-                field={field}
-                fieldTemplate={fieldTemplate}
+                key={`${nodeId}-${fieldName}`}
+                nodeId={nodeId}
+                fieldName={fieldName}
               />
             ))
           ) : (
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useConnectionState.ts b/invokeai/frontend/web/src/features/nodes/hooks/useConnectionState.ts
index 625736a933..e2154f7391 100644
--- a/invokeai/frontend/web/src/features/nodes/hooks/useConnectionState.ts
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useConnectionState.ts
@@ -2,8 +2,8 @@ import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
 import { makeConnectionErrorSelector } from 'features/nodes/store/util/makeIsConnectionValidSelector';
-import { InputFieldValue, OutputFieldValue } from 'features/nodes/types/types';
 import { useMemo } from 'react';
+import { useFieldType } from './useNodeData';
 
 const selectIsConnectionInProgress = createSelector(
   stateSelector,
@@ -12,23 +12,19 @@ const selectIsConnectionInProgress = createSelector(
     nodes.connectionStartParams !== null
 );
 
-export type UseConnectionStateProps =
-  | {
-      nodeId: string;
-      field: InputFieldValue;
-      kind: 'input';
-    }
-  | {
-      nodeId: string;
-      field: OutputFieldValue;
-      kind: 'output';
-    };
+export type UseConnectionStateProps = {
+  nodeId: string;
+  fieldName: string;
+  kind: 'input' | 'output';
+};
 
 export const useConnectionState = ({
   nodeId,
-  field,
+  fieldName,
   kind,
 }: UseConnectionStateProps) => {
+  const fieldType = useFieldType(nodeId, fieldName, kind);
+
   const selectIsConnected = useMemo(
     () =>
       createSelector(stateSelector, ({ nodes }) =>
@@ -37,23 +33,23 @@ export const useConnectionState = ({
             return (
               (kind === 'input' ? edge.target : edge.source) === nodeId &&
               (kind === 'input' ? edge.targetHandle : edge.sourceHandle) ===
-                field.name
+                fieldName
             );
           }).length
         )
       ),
-    [field.name, kind, nodeId]
+    [fieldName, kind, nodeId]
   );
 
   const selectConnectionError = useMemo(
     () =>
       makeConnectionErrorSelector(
         nodeId,
-        field.name,
+        fieldName,
         kind === 'input' ? 'target' : 'source',
-        field.type
+        fieldType
       ),
-    [nodeId, field.name, field.type, kind]
+    [nodeId, fieldName, kind, fieldType]
   );
 
   const selectIsConnectionStartField = useMemo(
@@ -61,12 +57,12 @@ export const useConnectionState = ({
       createSelector(stateSelector, ({ nodes }) =>
         Boolean(
           nodes.connectionStartParams?.nodeId === nodeId &&
-            nodes.connectionStartParams?.handleId === field.name &&
+            nodes.connectionStartParams?.handleId === fieldName &&
             nodes.connectionStartParams?.handleType ===
               { input: 'target', output: 'source' }[kind]
         )
       ),
-    [field.name, kind, nodeId]
+    [fieldName, kind, nodeId]
   );
 
   const isConnected = useAppSelector(selectIsConnected);
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useNodeData.ts b/invokeai/frontend/web/src/features/nodes/hooks/useNodeData.ts
new file mode 100644
index 0000000000..948bdb7f3c
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useNodeData.ts
@@ -0,0 +1,289 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { map, some } from 'lodash-es';
+import { useMemo } from 'react';
+import {
+  FOOTER_FIELDS,
+  IMAGE_FIELDS,
+} from '../components/Invocation/NodeFooter';
+import { isInvocationNode } from '../types/types';
+
+const KIND_MAP = {
+  input: 'inputs' as const,
+  output: 'outputs' as const,
+};
+
+export const useNodeTemplate = (nodeId: string) => {
+  const selector = useMemo(
+    () =>
+      createSelector(
+        stateSelector,
+        ({ nodes }) => {
+          const node = nodes.nodes.find((node) => node.id === nodeId);
+          const nodeTemplate = nodes.nodeTemplates[node?.data.type ?? ''];
+          return nodeTemplate;
+        },
+        defaultSelectorOptions
+      ),
+    [nodeId]
+  );
+
+  const nodeTemplate = useAppSelector(selector);
+
+  return nodeTemplate;
+};
+
+export const useNodeData = (nodeId: string) => {
+  const selector = useMemo(
+    () =>
+      createSelector(
+        stateSelector,
+        ({ nodes }) => {
+          const node = nodes.nodes.find((node) => node.id === nodeId);
+          return node?.data;
+        },
+        defaultSelectorOptions
+      ),
+    [nodeId]
+  );
+
+  const nodeData = useAppSelector(selector);
+
+  return nodeData;
+};
+
+export const useFieldData = (nodeId: string, fieldName: string) => {
+  const selector = useMemo(
+    () =>
+      createSelector(
+        stateSelector,
+        ({ nodes }) => {
+          const node = nodes.nodes.find((node) => node.id === nodeId);
+          if (!isInvocationNode(node)) {
+            return;
+          }
+          return node?.data.inputs[fieldName];
+        },
+        defaultSelectorOptions
+      ),
+    [fieldName, nodeId]
+  );
+
+  const fieldData = useAppSelector(selector);
+
+  return fieldData;
+};
+
+export const useFieldType = (
+  nodeId: string,
+  fieldName: string,
+  kind: 'input' | 'output'
+) => {
+  const selector = useMemo(
+    () =>
+      createSelector(
+        stateSelector,
+        ({ nodes }) => {
+          const node = nodes.nodes.find((node) => node.id === nodeId);
+          if (!isInvocationNode(node)) {
+            return;
+          }
+          return node?.data[KIND_MAP[kind]][fieldName]?.type;
+        },
+        defaultSelectorOptions
+      ),
+    [fieldName, kind, nodeId]
+  );
+
+  const fieldType = useAppSelector(selector);
+
+  return fieldType;
+};
+
+export const useFieldNames = (nodeId: string, kind: 'input' | 'output') => {
+  const selector = useMemo(
+    () =>
+      createSelector(
+        stateSelector,
+        ({ nodes }) => {
+          const node = nodes.nodes.find((node) => node.id === nodeId);
+          if (!isInvocationNode(node)) {
+            return [];
+          }
+          return map(node.data[KIND_MAP[kind]], (field) => field.name).filter(
+            (fieldName) => fieldName !== 'is_intermediate'
+          );
+        },
+        defaultSelectorOptions
+      ),
+    [kind, nodeId]
+  );
+
+  const fieldNames = useAppSelector(selector);
+  return fieldNames;
+};
+
+export const useWithFooter = (nodeId: string) => {
+  const selector = useMemo(
+    () =>
+      createSelector(
+        stateSelector,
+        ({ nodes }) => {
+          const node = nodes.nodes.find((node) => node.id === nodeId);
+          if (!isInvocationNode(node)) {
+            return false;
+          }
+          return some(node.data.outputs, (output) =>
+            FOOTER_FIELDS.includes(output.type)
+          );
+        },
+        defaultSelectorOptions
+      ),
+    [nodeId]
+  );
+
+  const withFooter = useAppSelector(selector);
+  return withFooter;
+};
+
+export const useHasImageOutput = (nodeId: string) => {
+  const selector = useMemo(
+    () =>
+      createSelector(
+        stateSelector,
+        ({ nodes }) => {
+          const node = nodes.nodes.find((node) => node.id === nodeId);
+          if (!isInvocationNode(node)) {
+            return false;
+          }
+          return some(node.data.outputs, (output) =>
+            IMAGE_FIELDS.includes(output.type)
+          );
+        },
+        defaultSelectorOptions
+      ),
+    [nodeId]
+  );
+
+  const hasImageOutput = useAppSelector(selector);
+  return hasImageOutput;
+};
+
+export const useIsIntermediate = (nodeId: string) => {
+  const selector = useMemo(
+    () =>
+      createSelector(
+        stateSelector,
+        ({ nodes }) => {
+          const node = nodes.nodes.find((node) => node.id === nodeId);
+          if (!isInvocationNode(node)) {
+            return false;
+          }
+          return Boolean(node.data.inputs.is_intermediate?.value);
+        },
+        defaultSelectorOptions
+      ),
+    [nodeId]
+  );
+
+  const is_intermediate = useAppSelector(selector);
+  return is_intermediate;
+};
+
+export const useNodeLabel = (nodeId: string) => {
+  const selector = useMemo(
+    () =>
+      createSelector(
+        stateSelector,
+        ({ nodes }) => {
+          const node = nodes.nodes.find((node) => node.id === nodeId);
+          if (!isInvocationNode(node)) {
+            return false;
+          }
+
+          return node.data.label;
+        },
+        defaultSelectorOptions
+      ),
+    [nodeId]
+  );
+
+  const label = useAppSelector(selector);
+  return label;
+};
+
+export const useNodeTemplateTitle = (nodeId: string) => {
+  const selector = useMemo(
+    () =>
+      createSelector(
+        stateSelector,
+        ({ nodes }) => {
+          const node = nodes.nodes.find((node) => node.id === nodeId);
+          if (!isInvocationNode(node)) {
+            return false;
+          }
+          const nodeTemplate = node
+            ? nodes.nodeTemplates[node.data.type]
+            : undefined;
+
+          return nodeTemplate?.title;
+        },
+        defaultSelectorOptions
+      ),
+    [nodeId]
+  );
+
+  const title = useAppSelector(selector);
+  return title;
+};
+
+export const useFieldTemplate = (
+  nodeId: string,
+  fieldName: string,
+  kind: 'input' | 'output'
+) => {
+  const selector = useMemo(
+    () =>
+      createSelector(
+        stateSelector,
+        ({ nodes }) => {
+          const node = nodes.nodes.find((node) => node.id === nodeId);
+          if (!isInvocationNode(node)) {
+            return;
+          }
+          const nodeTemplate = nodes.nodeTemplates[node?.data.type ?? ''];
+          return nodeTemplate?.[KIND_MAP[kind]][fieldName];
+        },
+        defaultSelectorOptions
+      ),
+    [fieldName, kind, nodeId]
+  );
+
+  const fieldTemplate = useAppSelector(selector);
+
+  return fieldTemplate;
+};
+
+export const useDoesInputHaveValue = (nodeId: string, fieldName: string) => {
+  const selector = useMemo(
+    () =>
+      createSelector(
+        stateSelector,
+        ({ nodes }) => {
+          const node = nodes.nodes.find((node) => node.id === nodeId);
+          if (!isInvocationNode(node)) {
+            return;
+          }
+          return Boolean(node?.data.inputs[fieldName]?.value);
+        },
+        defaultSelectorOptions
+      ),
+    [fieldName, nodeId]
+  );
+
+  const doesFieldHaveValue = useAppSelector(selector);
+
+  return doesFieldHaveValue;
+};
diff --git a/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts b/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts
index 3cc3859ce0..29603036ab 100644
--- a/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/util/makeIsConnectionValidSelector.ts
@@ -9,9 +9,13 @@ export const makeConnectionErrorSelector = (
   nodeId: string,
   fieldName: string,
   handleType: HandleType,
-  fieldType: FieldType
+  fieldType?: FieldType
 ) =>
   createSelector(stateSelector, (state) => {
+    if (!fieldType) {
+      return 'No field type';
+    }
+
     const { currentConnectionFieldType, connectionStartParams, nodes, edges } =
       state.nodes;
 
diff --git a/invokeai/frontend/web/src/features/nodes/types/types.ts b/invokeai/frontend/web/src/features/nodes/types/types.ts
index 3846d2425c..60e4877fd8 100644
--- a/invokeai/frontend/web/src/features/nodes/types/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/types.ts
@@ -457,12 +457,13 @@ export type ColorInputFieldTemplate = InputFieldTemplateBase & {
 };
 
 export const isInputFieldValue = (
-  field: InputFieldValue | OutputFieldValue
-): field is InputFieldValue => field.fieldKind === 'input';
+  field?: InputFieldValue | OutputFieldValue
+): field is InputFieldValue => Boolean(field && field.fieldKind === 'input');
 
 export const isInputFieldTemplate = (
-  fieldTemplate: InputFieldTemplate | OutputFieldTemplate
-): fieldTemplate is InputFieldTemplate => fieldTemplate.fieldKind === 'input';
+  fieldTemplate?: InputFieldTemplate | OutputFieldTemplate
+): fieldTemplate is InputFieldTemplate =>
+  Boolean(fieldTemplate && fieldTemplate.fieldKind === 'input');
 
 /**
  * JANKY CUSTOMISATION OF OpenAPI SCHEMA TYPES
@@ -632,20 +633,22 @@ export type NodeData =
 
 export const isInvocationNode = (
   node?: Node<NodeData>
-): node is Node<InvocationNodeData> => node?.type === 'invocation';
+): node is Node<InvocationNodeData> =>
+  Boolean(node && node.type === 'invocation');
 
 export const isInvocationNodeData = (
   node?: NodeData
 ): node is InvocationNodeData =>
-  !['notes', 'current_image'].includes(node?.type ?? '');
+  Boolean(node && !['notes', 'current_image'].includes(node.type));
 
 export const isNotesNode = (
   node?: Node<NodeData>
-): node is Node<NotesNodeData> => node?.type === 'notes';
+): node is Node<NotesNodeData> => Boolean(node && node.type === 'notes');
 
 export const isProgressImageNode = (
   node?: Node<NodeData>
-): node is Node<CurrentImageNodeData> => node?.type === 'current_image';
+): node is Node<CurrentImageNodeData> =>
+  Boolean(node && node.type === 'current_image');
 
 export enum NodeStatus {
   PENDING,

From 1f194e368824030f64df97d91b453d44335e4ba3 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 16 Aug 2023 22:36:03 +1000
Subject: [PATCH 269/287] chore(ui): lint

---
 .../src/features/nodes/components/Invocation/NodeFooter.tsx  | 3 ---
 .../src/features/nodes/components/Invocation/NodeHeader.tsx  | 2 +-
 .../features/nodes/components/Invocation/NodeNotesEdit.tsx   | 2 +-
 .../frontend/web/src/features/nodes/hooks/useNodeData.ts     | 5 +----
 invokeai/frontend/web/src/features/nodes/types/constants.ts  | 3 +++
 5 files changed, 6 insertions(+), 9 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx
index 9f5980374d..c858872b57 100644
--- a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeFooter.tsx
@@ -14,9 +14,6 @@ import { fieldBooleanValueChanged } from 'features/nodes/store/nodesSlice';
 import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
 import { ChangeEvent, memo, useCallback } from 'react';
 
-export const IMAGE_FIELDS = ['ImageField', 'ImageCollection'];
-export const FOOTER_FIELDS = IMAGE_FIELDS;
-
 type Props = {
   nodeId: string;
 };
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeHeader.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeHeader.tsx
index fa4585a445..ea503a8f27 100644
--- a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeHeader.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeHeader.tsx
@@ -14,7 +14,7 @@ type Props = {
   selected: boolean;
 };
 
-const NodeHeader = ({ nodeId, isOpen, label, type, selected }: Props) => {
+const NodeHeader = ({ nodeId, isOpen }: Props) => {
   return (
     <Flex
       layerStyle="nodeHeader"
diff --git a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeNotesEdit.tsx b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeNotesEdit.tsx
index e6f89fdf73..fa5a9d76fb 100644
--- a/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeNotesEdit.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Invocation/NodeNotesEdit.tsx
@@ -84,7 +84,7 @@ const TooltipContent = memo(({ nodeId }: { nodeId: string }) => {
   const nodeTemplate = useNodeTemplate(nodeId);
 
   if (!isInvocationNodeData(data)) {
-    return 'Unknown Node';
+    return <Text sx={{ fontWeight: 600 }}>Unknown Node</Text>;
   }
 
   return (
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useNodeData.ts b/invokeai/frontend/web/src/features/nodes/hooks/useNodeData.ts
index 948bdb7f3c..231c7678ef 100644
--- a/invokeai/frontend/web/src/features/nodes/hooks/useNodeData.ts
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useNodeData.ts
@@ -4,10 +4,7 @@ import { useAppSelector } from 'app/store/storeHooks';
 import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import { map, some } from 'lodash-es';
 import { useMemo } from 'react';
-import {
-  FOOTER_FIELDS,
-  IMAGE_FIELDS,
-} from '../components/Invocation/NodeFooter';
+import { FOOTER_FIELDS, IMAGE_FIELDS } from '../types/constants';
 import { isInvocationNode } from '../types/types';
 
 const KIND_MAP = {
diff --git a/invokeai/frontend/web/src/features/nodes/types/constants.ts b/invokeai/frontend/web/src/features/nodes/types/constants.ts
index 0efd529275..1c5c89ff2d 100644
--- a/invokeai/frontend/web/src/features/nodes/types/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/constants.ts
@@ -6,6 +6,9 @@ export const NODE_WIDTH = 320;
 export const NODE_MIN_WIDTH = 320;
 export const DRAG_HANDLE_CLASSNAME = 'node-drag-handle';
 
+export const IMAGE_FIELDS = ['ImageField', 'ImageCollection'];
+export const FOOTER_FIELDS = IMAGE_FIELDS;
+
 export const COLLECTION_TYPES: FieldType[] = [
   'Collection',
   'IntegerCollection',

From c2e7f627011309a3a987959ecc6bdd259814927a Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 16 Aug 2023 22:39:29 +1000
Subject: [PATCH 270/287] fix(ui): do not rerender edges

---
 .../features/nodes/components/CustomEdges.tsx | 278 +++++++++---------
 1 file changed, 147 insertions(+), 131 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/components/CustomEdges.tsx b/invokeai/frontend/web/src/features/nodes/components/CustomEdges.tsx
index e0ccc6e323..f80f0451e4 100644
--- a/invokeai/frontend/web/src/features/nodes/components/CustomEdges.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/CustomEdges.tsx
@@ -2,8 +2,9 @@ import { Badge, Flex } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { stateSelector } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 import { useChakraThemeTokens } from 'common/hooks/useChakraThemeTokens';
-import { useMemo } from 'react';
+import { memo, useMemo } from 'react';
 import {
   BaseEdge,
   EdgeLabelRenderer,
@@ -20,78 +21,165 @@ const makeEdgeSelector = (
   targetHandleId: string | null | undefined,
   selected?: boolean
 ) =>
-  createSelector(stateSelector, ({ nodes }) => {
-    const sourceNode = nodes.nodes.find((node) => node.id === source);
-    const targetNode = nodes.nodes.find((node) => node.id === target);
+  createSelector(
+    stateSelector,
+    ({ nodes }) => {
+      const sourceNode = nodes.nodes.find((node) => node.id === source);
+      const targetNode = nodes.nodes.find((node) => node.id === target);
 
-    const isInvocationToInvocationEdge =
-      isInvocationNode(sourceNode) && isInvocationNode(targetNode);
+      const isInvocationToInvocationEdge =
+        isInvocationNode(sourceNode) && isInvocationNode(targetNode);
 
-    const isSelected = sourceNode?.selected || targetNode?.selected || selected;
-    const sourceType = isInvocationToInvocationEdge
-      ? sourceNode?.data?.outputs[sourceHandleId || '']?.type
-      : undefined;
+      const isSelected =
+        sourceNode?.selected || targetNode?.selected || selected;
+      const sourceType = isInvocationToInvocationEdge
+        ? sourceNode?.data?.outputs[sourceHandleId || '']?.type
+        : undefined;
 
-    const stroke =
-      sourceType && nodes.shouldColorEdges
-        ? colorTokenToCssVar(FIELDS[sourceType].color)
-        : colorTokenToCssVar('base.500');
+      const stroke =
+        sourceType && nodes.shouldColorEdges
+          ? colorTokenToCssVar(FIELDS[sourceType].color)
+          : colorTokenToCssVar('base.500');
 
-    return {
-      isSelected,
-      shouldAnimate: nodes.shouldAnimateEdges && isSelected,
-      stroke,
-    };
-  });
-
-const CollapsedEdge = ({
-  sourceX,
-  sourceY,
-  targetX,
-  targetY,
-  sourcePosition,
-  targetPosition,
-  markerEnd,
-  data,
-  selected,
-  source,
-  target,
-  sourceHandleId,
-  targetHandleId,
-}: EdgeProps<{ count: number }>) => {
-  const selector = useMemo(
-    () =>
-      makeEdgeSelector(
-        source,
-        sourceHandleId,
-        target,
-        targetHandleId,
-        selected
-      ),
-    [selected, source, sourceHandleId, target, targetHandleId]
+      return {
+        isSelected,
+        shouldAnimate: nodes.shouldAnimateEdges && isSelected,
+        stroke,
+      };
+    },
+    defaultSelectorOptions
   );
 
-  const { isSelected, shouldAnimate } = useAppSelector(selector);
-
-  const [edgePath, labelX, labelY] = getBezierPath({
+const CollapsedEdge = memo(
+  ({
     sourceX,
     sourceY,
-    sourcePosition,
     targetX,
     targetY,
+    sourcePosition,
     targetPosition,
-  });
+    markerEnd,
+    data,
+    selected,
+    source,
+    target,
+    sourceHandleId,
+    targetHandleId,
+  }: EdgeProps<{ count: number }>) => {
+    const selector = useMemo(
+      () =>
+        makeEdgeSelector(
+          source,
+          sourceHandleId,
+          target,
+          targetHandleId,
+          selected
+        ),
+      [selected, source, sourceHandleId, target, targetHandleId]
+    );
 
-  const { base500 } = useChakraThemeTokens();
+    const { isSelected, shouldAnimate } = useAppSelector(selector);
 
-  return (
-    <>
+    const [edgePath, labelX, labelY] = getBezierPath({
+      sourceX,
+      sourceY,
+      sourcePosition,
+      targetX,
+      targetY,
+      targetPosition,
+    });
+
+    const { base500 } = useChakraThemeTokens();
+
+    return (
+      <>
+        <BaseEdge
+          path={edgePath}
+          markerEnd={markerEnd}
+          style={{
+            strokeWidth: isSelected ? 3 : 2,
+            stroke: base500,
+            opacity: isSelected ? 0.8 : 0.5,
+            animation: shouldAnimate
+              ? 'dashdraw 0.5s linear infinite'
+              : undefined,
+            strokeDasharray: shouldAnimate ? 5 : 'none',
+          }}
+        />
+        {data?.count && data.count > 1 && (
+          <EdgeLabelRenderer>
+            <Flex
+              sx={{
+                position: 'absolute',
+                transform: `translate(-50%, -50%) translate(${labelX}px,${labelY}px)`,
+              }}
+              className="nodrag nopan"
+            >
+              <Badge
+                variant="solid"
+                sx={{
+                  bg: 'base.500',
+                  opacity: isSelected ? 0.8 : 0.5,
+                  boxShadow: 'base',
+                }}
+              >
+                {data.count}
+              </Badge>
+            </Flex>
+          </EdgeLabelRenderer>
+        )}
+      </>
+    );
+  }
+);
+
+CollapsedEdge.displayName = 'CollapsedEdge';
+
+const DefaultEdge = memo(
+  ({
+    sourceX,
+    sourceY,
+    targetX,
+    targetY,
+    sourcePosition,
+    targetPosition,
+    markerEnd,
+    selected,
+    source,
+    target,
+    sourceHandleId,
+    targetHandleId,
+  }: EdgeProps) => {
+    const selector = useMemo(
+      () =>
+        makeEdgeSelector(
+          source,
+          sourceHandleId,
+          target,
+          targetHandleId,
+          selected
+        ),
+      [source, sourceHandleId, target, targetHandleId, selected]
+    );
+
+    const { isSelected, shouldAnimate, stroke } = useAppSelector(selector);
+
+    const [edgePath] = getBezierPath({
+      sourceX,
+      sourceY,
+      sourcePosition,
+      targetX,
+      targetY,
+      targetPosition,
+    });
+
+    return (
       <BaseEdge
         path={edgePath}
         markerEnd={markerEnd}
         style={{
           strokeWidth: isSelected ? 3 : 2,
-          stroke: base500,
+          stroke,
           opacity: isSelected ? 0.8 : 0.5,
           animation: shouldAnimate
             ? 'dashdraw 0.5s linear infinite'
@@ -99,83 +187,11 @@ const CollapsedEdge = ({
           strokeDasharray: shouldAnimate ? 5 : 'none',
         }}
       />
-      {data?.count && data.count > 1 && (
-        <EdgeLabelRenderer>
-          <Flex
-            sx={{
-              position: 'absolute',
-              transform: `translate(-50%, -50%) translate(${labelX}px,${labelY}px)`,
-            }}
-            className="nodrag nopan"
-          >
-            <Badge
-              variant="solid"
-              sx={{
-                bg: 'base.500',
-                opacity: isSelected ? 0.8 : 0.5,
-                boxShadow: 'base',
-              }}
-            >
-              {data.count}
-            </Badge>
-          </Flex>
-        </EdgeLabelRenderer>
-      )}
-    </>
-  );
-};
+    );
+  }
+);
 
-const DefaultEdge = ({
-  sourceX,
-  sourceY,
-  targetX,
-  targetY,
-  sourcePosition,
-  targetPosition,
-  markerEnd,
-  selected,
-  source,
-  target,
-  sourceHandleId,
-  targetHandleId,
-}: EdgeProps) => {
-  const selector = useMemo(
-    () =>
-      makeEdgeSelector(
-        source,
-        sourceHandleId,
-        target,
-        targetHandleId,
-        selected
-      ),
-    [source, sourceHandleId, target, targetHandleId, selected]
-  );
-
-  const { isSelected, shouldAnimate, stroke } = useAppSelector(selector);
-
-  const [edgePath] = getBezierPath({
-    sourceX,
-    sourceY,
-    sourcePosition,
-    targetX,
-    targetY,
-    targetPosition,
-  });
-
-  return (
-    <BaseEdge
-      path={edgePath}
-      markerEnd={markerEnd}
-      style={{
-        strokeWidth: isSelected ? 3 : 2,
-        stroke,
-        opacity: isSelected ? 0.8 : 0.5,
-        animation: shouldAnimate ? 'dashdraw 0.5s linear infinite' : undefined,
-        strokeDasharray: shouldAnimate ? 5 : 'none',
-      }}
-    />
-  );
-};
+DefaultEdge.displayName = 'DefaultEdge';
 
 export const edgeTypes = {
   collapsed: CollapsedEdge,

From 0d36bab6cc6c294ca2df601a8252b535b331ac8d Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 16 Aug 2023 22:43:31 +1000
Subject: [PATCH 271/287] fix(ui): do not rerender top panel buttons

---
 .../nodes/components/NodeEditorSettings.tsx   | 37 +++++++++++--------
 .../nodes/components/ui/ClearGraphButton.tsx  |  6 ++-
 .../nodes/components/ui/NodeInvokeButton.tsx  |  8 ++--
 .../components/ui/ReloadSchemaButton.tsx      |  8 ++--
 4 files changed, 35 insertions(+), 24 deletions(-)

diff --git a/invokeai/frontend/web/src/features/nodes/components/NodeEditorSettings.tsx b/invokeai/frontend/web/src/features/nodes/components/NodeEditorSettings.tsx
index 58e2e3564e..b942b2b3c0 100644
--- a/invokeai/frontend/web/src/features/nodes/components/NodeEditorSettings.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/NodeEditorSettings.tsx
@@ -15,7 +15,7 @@ import { stateSelector } from 'app/store/store';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
 import IAISwitch from 'common/components/IAISwitch';
-import { ChangeEvent, useCallback } from 'react';
+import { ChangeEvent, memo, useCallback } from 'react';
 import { FaCog } from 'react-icons/fa';
 import {
   shouldAnimateEdgesChanged,
@@ -23,21 +23,26 @@ import {
   shouldSnapToGridChanged,
   shouldValidateGraphChanged,
 } from '../store/nodesSlice';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
 
-const selector = createSelector(stateSelector, ({ nodes }) => {
-  const {
-    shouldAnimateEdges,
-    shouldValidateGraph,
-    shouldSnapToGrid,
-    shouldColorEdges,
-  } = nodes;
-  return {
-    shouldAnimateEdges,
-    shouldValidateGraph,
-    shouldSnapToGrid,
-    shouldColorEdges,
-  };
-});
+const selector = createSelector(
+  stateSelector,
+  ({ nodes }) => {
+    const {
+      shouldAnimateEdges,
+      shouldValidateGraph,
+      shouldSnapToGrid,
+      shouldColorEdges,
+    } = nodes;
+    return {
+      shouldAnimateEdges,
+      shouldValidateGraph,
+      shouldSnapToGrid,
+      shouldColorEdges,
+    };
+  },
+  defaultSelectorOptions
+);
 
 const NodeEditorSettings = () => {
   const { isOpen, onOpen, onClose } = useDisclosure();
@@ -136,4 +141,4 @@ const NodeEditorSettings = () => {
   );
 };
 
-export default NodeEditorSettings;
+export default memo(NodeEditorSettings);
diff --git a/invokeai/frontend/web/src/features/nodes/components/ui/ClearGraphButton.tsx b/invokeai/frontend/web/src/features/nodes/components/ui/ClearGraphButton.tsx
index 432675c5cd..1501d0270b 100644
--- a/invokeai/frontend/web/src/features/nodes/components/ui/ClearGraphButton.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/ui/ClearGraphButton.tsx
@@ -25,7 +25,9 @@ const ClearGraphButton = () => {
   const { isOpen, onOpen, onClose } = useDisclosure();
   const cancelRef = useRef<HTMLButtonElement | null>(null);
 
-  const nodes = useAppSelector((state: RootState) => state.nodes.nodes);
+  const nodesCount = useAppSelector(
+    (state: RootState) => state.nodes.nodes.length
+  );
 
   const handleConfirmClear = useCallback(() => {
     dispatch(nodeEditorReset());
@@ -49,7 +51,7 @@ const ClearGraphButton = () => {
         tooltip={t('nodes.clearGraph')}
         aria-label={t('nodes.clearGraph')}
         onClick={onOpen}
-        isDisabled={nodes.length === 0}
+        isDisabled={!nodesCount}
       />
 
       <AlertDialog
diff --git a/invokeai/frontend/web/src/features/nodes/components/ui/NodeInvokeButton.tsx b/invokeai/frontend/web/src/features/nodes/components/ui/NodeInvokeButton.tsx
index b735bce0f7..f207e910b1 100644
--- a/invokeai/frontend/web/src/features/nodes/components/ui/NodeInvokeButton.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/ui/NodeInvokeButton.tsx
@@ -8,7 +8,7 @@ import IAIIconButton, {
 import { selectIsReadyNodes } from 'features/nodes/store/selectors';
 import ProgressBar from 'features/system/components/ProgressBar';
 import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
-import { useCallback } from 'react';
+import { memo, useCallback } from 'react';
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
 import { FaPlay } from 'react-icons/fa';
@@ -18,7 +18,7 @@ interface InvokeButton
   iconButton?: boolean;
 }
 
-export default function NodeInvokeButton(props: InvokeButton) {
+const NodeInvokeButton = (props: InvokeButton) => {
   const { iconButton = false, ...rest } = props;
   const dispatch = useAppDispatch();
   const activeTabName = useAppSelector(activeTabNameSelector);
@@ -92,4 +92,6 @@ export default function NodeInvokeButton(props: InvokeButton) {
       </Box>
     </Box>
   );
-}
+};
+
+export default memo(NodeInvokeButton);
diff --git a/invokeai/frontend/web/src/features/nodes/components/ui/ReloadSchemaButton.tsx b/invokeai/frontend/web/src/features/nodes/components/ui/ReloadSchemaButton.tsx
index f6c837e044..cbb0ea58ee 100644
--- a/invokeai/frontend/web/src/features/nodes/components/ui/ReloadSchemaButton.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/ui/ReloadSchemaButton.tsx
@@ -1,11 +1,11 @@
 import { useAppDispatch } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
-import { useCallback } from 'react';
+import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 import { FaSyncAlt } from 'react-icons/fa';
 import { receivedOpenAPISchema } from 'services/api/thunks/schema';
 
-export default function ReloadSchemaButton() {
+const ReloadSchemaButton = () => {
   const { t } = useTranslation();
   const dispatch = useAppDispatch();
 
@@ -21,4 +21,6 @@ export default function ReloadSchemaButton() {
       onClick={handleReloadSchema}
     />
   );
-}
+};
+
+export default memo(ReloadSchemaButton);

From a7ba142ad926764303001d914d25849deba660c1 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 16 Aug 2023 22:55:35 +1000
Subject: [PATCH 272/287] feat(ui): set min zoom on nodes to 0.1

---
 invokeai/frontend/web/src/features/nodes/components/Flow.tsx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/features/nodes/components/Flow.tsx b/invokeai/frontend/web/src/features/nodes/components/Flow.tsx
index 5b33bf4a9c..3290a65054 100644
--- a/invokeai/frontend/web/src/features/nodes/components/Flow.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/Flow.tsx
@@ -137,7 +137,7 @@ export const Flow = () => {
       connectionLineComponent={CustomConnectionLine}
       onSelectionChange={handleSelectionChange}
       isValidConnection={isValidConnection}
-      minZoom={0.2}
+      minZoom={0.1}
       snapToGrid={shouldSnapToGrid}
       snapGrid={[25, 25]}
       connectionRadius={30}

From 2ca8611723b3c602bc4cab732b2e28ca724d4fd9 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 16 Aug 2023 15:53:01 -0400
Subject: [PATCH 273/287] add +/- sign in front of RAM delta

---
 invokeai/app/services/invocation_stats.py | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/invokeai/app/services/invocation_stats.py b/invokeai/app/services/invocation_stats.py
index b49084e6fe..0cef3d5e29 100644
--- a/invokeai/app/services/invocation_stats.py
+++ b/invokeai/app/services/invocation_stats.py
@@ -266,9 +266,7 @@ class InvocationStatsService(InvocationStatsServiceBase):
             loaded = sum([v for v in cache_stats.loaded_model_sizes.values()]) / GIG
 
             logger.info(f"TOTAL GRAPH EXECUTION TIME:  {total_time:7.3f}s")
-            logger.info(
-                "RAM used by InvokeAI process: " + "%4.2fG" % stats.ram_used + f" (delta={stats.ram_changed:4.2f}G)"
-            )
+            logger.info("RAM used by InvokeAI process: " + "%4.2fG" % stats.ram_used + f" ({stats.ram_changed:+5.3f}G)")
             logger.info(f"RAM used to load models: {loaded:4.2f}G")
             if torch.cuda.is_available():
                 logger.info("VRAM in use: " + "%4.3fG" % (torch.cuda.memory_allocated() / GIG))

From e373bfca5449856084b0fd13c9cf55403cd91905 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 16 Aug 2023 13:25:30 -0400
Subject: [PATCH 274/287] fix several broken links in the installation index

---
 docs/installation/INSTALLATION.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/installation/INSTALLATION.md b/docs/installation/INSTALLATION.md
index b6f251fe48..ec5e2492b6 100644
--- a/docs/installation/INSTALLATION.md
+++ b/docs/installation/INSTALLATION.md
@@ -25,10 +25,10 @@ This method is recommended for experienced users and developers
 #### [Docker Installation](040_INSTALL_DOCKER.md)
 This method is recommended for those familiar with running Docker containers
 ### Other Installation Guides
-  - [PyPatchMatch](installation/060_INSTALL_PATCHMATCH.md)
-  - [XFormers](installation/070_INSTALL_XFORMERS.md)
-  - [CUDA and ROCm Drivers](installation/030_INSTALL_CUDA_AND_ROCM.md)
-  - [Installing New Models](installation/050_INSTALLING_MODELS.md)
+  - [PyPatchMatch](060_INSTALL_PATCHMATCH.md)
+  - [XFormers](070_INSTALL_XFORMERS.md)
+  - [CUDA and ROCm Drivers](030_INSTALL_CUDA_AND_ROCM.md)
+  - [Installing New Models](050_INSTALLING_MODELS.md)
 
 ## :fontawesome-solid-computer: Hardware Requirements
 

From c39f8b478b55e941e41c7be5d1d494b45d7e4501 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 16 Aug 2023 21:39:18 -0400
Subject: [PATCH 275/287] fix misplaced ram_used and ram_changed attributes

---
 invokeai/app/services/invocation_stats.py | 34 ++++++++++++++++++-----
 1 file changed, 27 insertions(+), 7 deletions(-)

diff --git a/invokeai/app/services/invocation_stats.py b/invokeai/app/services/invocation_stats.py
index 0cef3d5e29..d1b6f0c155 100644
--- a/invokeai/app/services/invocation_stats.py
+++ b/invokeai/app/services/invocation_stats.py
@@ -147,9 +147,17 @@ class InvocationStatsService(InvocationStatsServiceBase):
         # {graph_id => NodeLog}
         self._stats: Dict[str, NodeLog] = {}
         self._cache_stats: Dict[str, CacheStats] = {}
+        self.ram_used: float = 0.0
+        self.ram_changed: float = 0.0
 
     class StatsContext:
         """Context manager for collecting statistics."""
+        invocation: BaseInvocation = None
+        collector: "InvocationStatsServiceBase" = None
+        graph_id: str = None
+        start_time: int = 0
+        ram_used: int = 0
+        model_manager: ModelManagerService = None
 
         def __init__(
             self,
@@ -177,13 +185,15 @@ class InvocationStatsService(InvocationStatsServiceBase):
         def __exit__(self, *args):
             """Called on exit from the context."""
             ram_used = psutil.Process().memory_info().rss
+            self.collector.update_mem_stats(
+                ram_used=ram_used / GIG,
+                ram_changed=(ram_used - self.ram_used) / GIG,
+            )
             self.collector.update_invocation_stats(
                 graph_id=self.graph_id,
                 invocation_type=self.invocation.type,
                 time_used=time.time() - self.start_time,
                 vram_used=torch.cuda.max_memory_allocated() / GIG if torch.cuda.is_available() else 0.0,
-                ram_used=ram_used / GIG,
-                ram_changed=(ram_used - self.ram_used) / GIG,
             )
 
     def collect_stats(
@@ -213,14 +223,26 @@ class InvocationStatsService(InvocationStatsServiceBase):
         except KeyError:
             logger.warning(f"Attempted to clear statistics for unknown graph {graph_execution_id}")
 
+    def update_mem_stats(
+            self,
+            ram_used: float,
+            ram_changed: float,
+    ):
+        """
+        Update the collector with RAM memory usage info.
+
+        :param ram_used: How much RAM is currently in use.
+        :param ram_changed: How much RAM changed since last generation.
+        """
+        self.ram_used = ram_used
+        self.ram_changed = ram_changed
+
     def update_invocation_stats(
         self,
         graph_id: str,
         invocation_type: str,
         time_used: float,
         vram_used: float,
-        ram_used: float,
-        ram_changed: float,
     ):
         """
         Add timing information on execution of a node. Usually
@@ -238,8 +260,6 @@ class InvocationStatsService(InvocationStatsServiceBase):
         stats.calls += 1
         stats.time_used += time_used
         stats.max_vram = max(stats.max_vram, vram_used)
-        stats.ram_used = ram_used
-        stats.ram_changed = ram_changed
 
     def log_stats(self):
         """
@@ -266,7 +286,7 @@ class InvocationStatsService(InvocationStatsServiceBase):
             loaded = sum([v for v in cache_stats.loaded_model_sizes.values()]) / GIG
 
             logger.info(f"TOTAL GRAPH EXECUTION TIME:  {total_time:7.3f}s")
-            logger.info("RAM used by InvokeAI process: " + "%4.2fG" % stats.ram_used + f" ({stats.ram_changed:+5.3f}G)")
+            logger.info("RAM used by InvokeAI process: " + "%4.2fG" % self.ram_used + f" ({self.ram_changed:+5.3f}G)")
             logger.info(f"RAM used to load models: {loaded:4.2f}G")
             if torch.cuda.is_available():
                 logger.info("VRAM in use: " + "%4.3fG" % (torch.cuda.memory_allocated() / GIG))

From daf75a1361c61e8eda99f731521ae20ee9a0e4bb Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Wed, 16 Aug 2023 21:47:29 -0400
Subject: [PATCH 276/287] blackify

---
 invokeai/app/services/invocation_stats.py | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/invokeai/app/services/invocation_stats.py b/invokeai/app/services/invocation_stats.py
index d1b6f0c155..35c3a5e403 100644
--- a/invokeai/app/services/invocation_stats.py
+++ b/invokeai/app/services/invocation_stats.py
@@ -152,6 +152,7 @@ class InvocationStatsService(InvocationStatsServiceBase):
 
     class StatsContext:
         """Context manager for collecting statistics."""
+
         invocation: BaseInvocation = None
         collector: "InvocationStatsServiceBase" = None
         graph_id: str = None
@@ -224,9 +225,9 @@ class InvocationStatsService(InvocationStatsServiceBase):
             logger.warning(f"Attempted to clear statistics for unknown graph {graph_execution_id}")
 
     def update_mem_stats(
-            self,
-            ram_used: float,
-            ram_changed: float,
+        self,
+        ram_used: float,
+        ram_changed: float,
     ):
         """
         Update the collector with RAM memory usage info.

From 226409107b685e1b434b3873131d7657caad76f9 Mon Sep 17 00:00:00 2001
From: mickr777 <115216705+mickr777@users.noreply.github.com>
Date: Wed, 16 Aug 2023 16:26:08 +1000
Subject: [PATCH 277/287] Fix for Image Deletion issue

---
 .../middleware/listenerMiddleware/listeners/imageDeleted.ts     | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts
index cdfae0095e..b419e98782 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts
@@ -121,7 +121,7 @@ export const addRequestedMultipleImageDeletionListener = () => {
     effect: async (action, { dispatch, getState }) => {
       const { imageDTOs, imagesUsage } = action.payload;
 
-      if (imageDTOs.length < 1 || imagesUsage.length < 1) {
+      if (imageDTOs.length <= 1 || imagesUsage.length <= 1) {
         // handle singles in separate listener
         return;
       }

From b5cee7d20ce6c45f18bedcd67e2f545359b5a3d0 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Thu, 17 Aug 2023 15:40:15 -0400
Subject: [PATCH 278/287] blackify chore

---
 invokeai/backend/util/hotfixes.py | 14 +++++++++-----
 1 file changed, 9 insertions(+), 5 deletions(-)

diff --git a/invokeai/backend/util/hotfixes.py b/invokeai/backend/util/hotfixes.py
index 9c643d13bc..89b3da5a37 100644
--- a/invokeai/backend/util/hotfixes.py
+++ b/invokeai/backend/util/hotfixes.py
@@ -6,7 +6,13 @@ from torch import nn
 from diffusers.configuration_utils import ConfigMixin, register_to_config
 from diffusers.loaders import FromOriginalControlnetMixin
 from diffusers.models.attention_processor import AttentionProcessor, AttnProcessor
-from diffusers.models.embeddings import TextImageProjection, TextImageTimeEmbedding, TextTimeEmbedding, TimestepEmbedding, Timesteps
+from diffusers.models.embeddings import (
+    TextImageProjection,
+    TextImageTimeEmbedding,
+    TextTimeEmbedding,
+    TimestepEmbedding,
+    Timesteps,
+)
 from diffusers.models.modeling_utils import ModelMixin
 from diffusers.models.unet_2d_blocks import (
     CrossAttnDownBlock2D,
@@ -22,6 +28,7 @@ from diffusers.models.controlnet import ControlNetConditioningEmbedding, Control
 # TODO: create PR to diffusers
 # Modified ControlNetModel with encoder_attention_mask argument added
 
+
 class ControlNetModel(ModelMixin, ConfigMixin, FromOriginalControlnetMixin):
     """
     A ControlNet model.
@@ -736,9 +743,7 @@ class ControlNetModel(ModelMixin, ConfigMixin, FromOriginalControlnetMixin):
             mid_block_res_sample = mid_block_res_sample * conditioning_scale
 
         if self.config.global_pool_conditions:
-            down_block_res_samples = [
-                torch.mean(sample, dim=(2, 3), keepdim=True) for sample in down_block_res_samples
-            ]
+            down_block_res_samples = [torch.mean(sample, dim=(2, 3), keepdim=True) for sample in down_block_res_samples]
             mid_block_res_sample = torch.mean(mid_block_res_sample, dim=(2, 3), keepdim=True)
 
         if not return_dict:
@@ -749,6 +754,5 @@ class ControlNetModel(ModelMixin, ConfigMixin, FromOriginalControlnetMixin):
         )
 
 
-
 diffusers.ControlNetModel = ControlNetModel
 diffusers.models.controlnet.ControlNetModel = ControlNetModel

From bc16b503023cac9857c4d3e228fc28cb41c87ab1 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lstein@gmail.com>
Date: Thu, 17 Aug 2023 18:54:18 -0400
Subject: [PATCH 279/287] add followlinks to all os.walk() calls

---
 invokeai/backend/install/migrate_to_3.py                        | 2 +-
 .../backend/stable_diffusion/image_degradation/utils_image.py   | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/invokeai/backend/install/migrate_to_3.py b/invokeai/backend/install/migrate_to_3.py
index 3f360f291d..0938ed2199 100644
--- a/invokeai/backend/install/migrate_to_3.py
+++ b/invokeai/backend/install/migrate_to_3.py
@@ -116,7 +116,7 @@ class MigrateTo3(object):
         appropriate location within the destination models directory.
         """
         directories_scanned = set()
-        for root, dirs, files in os.walk(src_dir):
+        for root, dirs, files in os.walk(src_dir, followlinks=True):
             for d in dirs:
                 try:
                     model = Path(root, d)
diff --git a/invokeai/backend/stable_diffusion/image_degradation/utils_image.py b/invokeai/backend/stable_diffusion/image_degradation/utils_image.py
index d45ca602e6..fb71f85e5a 100644
--- a/invokeai/backend/stable_diffusion/image_degradation/utils_image.py
+++ b/invokeai/backend/stable_diffusion/image_degradation/utils_image.py
@@ -89,7 +89,7 @@ def get_image_paths(dataroot):
 def _get_paths_from_images(path):
     assert os.path.isdir(path), "{:s} is not a valid directory".format(path)
     images = []
-    for dirpath, _, fnames in sorted(os.walk(path)):
+    for dirpath, _, fnames in sorted(os.walk(path, followlinks=True)):
         for fname in sorted(fnames):
             if is_image_file(fname):
                 img_path = os.path.join(dirpath, fname)

From a17dbd7df6928be23f90e20e95d30a35fd15fb15 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 18 Aug 2023 10:06:30 +1000
Subject: [PATCH 280/287] feat(ui): improve error toast messages

---
 .../src/features/system/store/systemSlice.ts  | 21 +++++++++++++++++--
 .../web/src/features/system/store/zod.ts      | 14 +++++++++++++
 2 files changed, 33 insertions(+), 2 deletions(-)
 create mode 100644 invokeai/frontend/web/src/features/system/store/zod.ts

diff --git a/invokeai/frontend/web/src/features/system/store/systemSlice.ts b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
index b22a493868..4271a17df0 100644
--- a/invokeai/frontend/web/src/features/system/store/systemSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
@@ -4,7 +4,7 @@ import { InvokeLogLevel } from 'app/logging/logger';
 import { userInvoked } from 'app/store/actions';
 import { nodeTemplatesBuilt } from 'features/nodes/store/nodesSlice';
 import { t } from 'i18next';
-import { startCase } from 'lodash-es';
+import { startCase, upperFirst } from 'lodash-es';
 import { LogLevelName } from 'roarr';
 import {
   isAnySessionRejected,
@@ -26,6 +26,7 @@ import {
 import { ProgressImage } from 'services/events/types';
 import { makeToast } from '../util/makeToast';
 import { LANGUAGES } from './constants';
+import { zPydanticValidationError } from './zod';
 
 export type CancelStrategy = 'immediate' | 'scheduled';
 
@@ -361,9 +362,24 @@ export const systemSlice = createSlice({
       state.progressImage = null;
 
       let errorDescription = undefined;
+      const duration = 5000;
 
       if (action.payload?.status === 422) {
-        errorDescription = 'Validation Error';
+        const result = zPydanticValidationError.safeParse(action.payload);
+        if (result.success) {
+          result.data.error.detail.map((e) => {
+            state.toastQueue.push(
+              makeToast({
+                title: upperFirst(e.msg),
+                status: 'error',
+                description: `Path:
+                ${e.loc.slice(3).join('.')}`,
+                duration,
+              })
+            );
+          });
+          return;
+        }
       } else if (action.payload?.error) {
         errorDescription = action.payload?.error as string;
       }
@@ -373,6 +389,7 @@ export const systemSlice = createSlice({
           title: t('toast.serverError'),
           status: 'error',
           description: errorDescription,
+          duration,
         })
       );
     });
diff --git a/invokeai/frontend/web/src/features/system/store/zod.ts b/invokeai/frontend/web/src/features/system/store/zod.ts
new file mode 100644
index 0000000000..3a3b950019
--- /dev/null
+++ b/invokeai/frontend/web/src/features/system/store/zod.ts
@@ -0,0 +1,14 @@
+import { z } from 'zod';
+
+export const zPydanticValidationError = z.object({
+  status: z.literal(422),
+  error: z.object({
+    detail: z.array(
+      z.object({
+        loc: z.array(z.string()),
+        msg: z.string(),
+        type: z.string(),
+      })
+    ),
+  }),
+});

From f6db9da06c23a9f6738e2641b74d20755e4a589f Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Fri, 18 Aug 2023 13:18:08 +1000
Subject: [PATCH 281/287] chore(ui): rename file to not cause madge to fail

---
 invokeai/frontend/web/src/features/system/store/systemSlice.ts  | 2 +-
 .../web/src/features/system/store/{zod.ts => zodSchemas.ts}     | 0
 2 files changed, 1 insertion(+), 1 deletion(-)
 rename invokeai/frontend/web/src/features/system/store/{zod.ts => zodSchemas.ts} (100%)

diff --git a/invokeai/frontend/web/src/features/system/store/systemSlice.ts b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
index 4271a17df0..d789df49a4 100644
--- a/invokeai/frontend/web/src/features/system/store/systemSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/systemSlice.ts
@@ -26,7 +26,7 @@ import {
 import { ProgressImage } from 'services/events/types';
 import { makeToast } from '../util/makeToast';
 import { LANGUAGES } from './constants';
-import { zPydanticValidationError } from './zod';
+import { zPydanticValidationError } from './zodSchemas';
 
 export type CancelStrategy = 'immediate' | 'scheduled';
 
diff --git a/invokeai/frontend/web/src/features/system/store/zod.ts b/invokeai/frontend/web/src/features/system/store/zodSchemas.ts
similarity index 100%
rename from invokeai/frontend/web/src/features/system/store/zod.ts
rename to invokeai/frontend/web/src/features/system/store/zodSchemas.ts

From 537ae2f901099112d465db68d7a83596bc68c358 Mon Sep 17 00:00:00 2001
From: Martin Kristiansen <lille.kemiker@gmail.com>
Date: Thu, 17 Aug 2023 18:45:25 -0400
Subject: [PATCH 282/287] Resolving merge conflicts for flake8

---
 installer/lib/installer.py                    |  2 +-
 installer/lib/main.py                         |  2 +-
 installer/lib/messages.py                     | 16 ++++----
 invokeai/app/api/dependencies.py              |  3 +-
 invokeai/app/api/routers/board_images.py      | 12 +++---
 invokeai/app/api/routers/boards.py            |  8 ++--
 invokeai/app/api/routers/images.py            | 32 ++++++++--------
 invokeai/app/api/routers/sessions.py          |  5 ++-
 invokeai/app/api_app.py                       | 33 ++++++++---------
 invokeai/app/cli/completer.py                 |  4 +-
 invokeai/app/cli_app.py                       | 22 +++++------
 invokeai/app/invocations/baseinvocation.py    |  2 +-
 invokeai/app/invocations/collections.py       |  4 +-
 invokeai/app/invocations/compel.py            |  2 +-
 .../controlnet_image_processors.py            |  2 +-
 invokeai/app/invocations/infill.py            |  2 +-
 invokeai/app/invocations/latent.py            |  6 +--
 invokeai/app/invocations/model.py             |  2 +-
 invokeai/app/invocations/noise.py             |  1 -
 invokeai/app/invocations/onnx.py              |  9 ++---
 invokeai/app/invocations/param_easing.py      |  3 --
 invokeai/app/invocations/primitives.py        |  3 +-
 invokeai/app/invocations/upscale.py           |  2 +-
 invokeai/app/services/board_images.py         |  8 +---
 invokeai/app/services/board_record_storage.py | 13 +++----
 invokeai/app/services/config.py               | 12 +++---
 invokeai/app/services/graph.py                |  9 +++--
 invokeai/app/services/image_file_storage.py   |  2 +-
 invokeai/app/services/image_record_storage.py | 10 ++---
 invokeai/app/services/images.py               | 13 +++----
 invokeai/app/services/invocation_services.py  |  1 +
 invokeai/app/services/invocation_stats.py     |  3 +-
 invokeai/app/services/latent_storage.py       |  2 +-
 invokeai/app/util/controlnet_utils.py         |  6 ++-
 invokeai/app/util/step_callback.py            |  1 -
 invokeai/backend/__init__.py                  |  4 +-
 invokeai/backend/image_util/__init__.py       | 12 +++---
 invokeai/backend/image_util/pngwriter.py      |  6 +--
 .../backend/install/invokeai_configure.py     |  3 +-
 invokeai/backend/install/migrate_to_3.py      |  4 +-
 .../backend/install/model_install_backend.py  |  1 -
 invokeai/backend/model_management/__init__.py | 11 +++---
 invokeai/backend/model_management/lora.py     | 17 +++------
 .../backend/model_management/model_cache.py   |  2 +-
 .../backend/model_management/model_manager.py |  8 ++--
 .../backend/model_management/model_probe.py   |  6 +--
 .../model_management/models/__init__.py       |  4 +-
 .../backend/model_management/models/base.py   | 34 ++++++++---------
 .../model_management/models/controlnet.py     |  6 +--
 .../models/stable_diffusion.py                |  2 +-
 .../models/stable_diffusion_onnx.py           | 11 +-----
 .../backend/model_management/models/vae.py    |  4 +-
 invokeai/backend/stable_diffusion/__init__.py | 12 ++++--
 .../stable_diffusion/diffusers_pipeline.py    |  4 +-
 .../stable_diffusion/diffusion/__init__.py    |  6 +--
 .../diffusion/cross_attention_control.py      | 14 +++----
 .../diffusion/cross_attention_map_saving.py   |  2 -
 .../diffusion/shared_invokeai_diffusion.py    |  9 ++---
 .../image_degradation/__init__.py             |  4 +-
 .../image_degradation/bsrgan.py               | 12 +++---
 .../image_degradation/bsrgan_light.py         |  7 ++--
 .../image_degradation/utils_image.py          |  6 ++-
 .../stable_diffusion/schedulers/__init__.py   |  2 +-
 invokeai/backend/training/__init__.py         |  2 +-
 invokeai/backend/util/__init__.py             |  6 +--
 invokeai/backend/util/hotfixes.py             |  7 +++-
 invokeai/backend/util/log.py                  |  4 +-
 invokeai/backend/util/logging.py              |  6 +--
 invokeai/backend/util/mps_fixes.py            |  2 +-
 invokeai/backend/util/util.py                 | 27 +++++++-------
 invokeai/frontend/CLI/__init__.py             |  2 +-
 .../frontend/install/invokeai_configure.py    |  2 +-
 invokeai/frontend/install/invokeai_update.py  |  8 ++--
 invokeai/frontend/install/model_install.py    | 13 +++----
 invokeai/frontend/install/widgets.py          |  8 ++--
 invokeai/frontend/legacy_launch_invokeai.py   |  1 -
 invokeai/frontend/merge/__init__.py           |  2 +-
 invokeai/frontend/merge/merge_diffusers.py    |  8 +---
 invokeai/frontend/training/__init__.py        |  2 +-
 .../frontend/training/textual_inversion.py    |  4 +-
 invokeai/version/__init__.py                  |  2 +-
 notebooks/notebook_helpers.py                 | 13 +++----
 pyproject.toml                                | 11 +++++-
 scripts/create_checkpoint_template.py         |  1 -
 scripts/dream.py                              |  3 +-
 scripts/images2prompt.py                      |  2 +-
 scripts/invokeai-cli.py                       |  4 +-
 scripts/invokeai-web.py                       |  4 +-
 scripts/orig_scripts/img2img.py               |  7 +---
 scripts/orig_scripts/inpaint.py               |  4 +-
 scripts/orig_scripts/knn2img.py               | 12 +++---
 scripts/orig_scripts/main.py                  | 20 +++++-----
 scripts/orig_scripts/merge_embeddings.py      |  4 +-
 scripts/orig_scripts/sample_diffusion.py      | 16 ++++++--
 scripts/orig_scripts/train_searcher.py        |  3 +-
 scripts/orig_scripts/txt2img.py               |  9 ++---
 scripts/probe-model.py                        |  1 -
 tests/nodes/test_graph_execution_state.py     | 34 ++++++++---------
 tests/nodes/test_node_graph.py                | 29 ++++++++-------
 tests/nodes/test_nodes.py                     | 11 ++----
 tests/test_config.py                          | 37 +++++++++++++------
 101 files changed, 393 insertions(+), 408 deletions(-)

diff --git a/installer/lib/installer.py b/installer/lib/installer.py
index cc694c2934..aaf5779801 100644
--- a/installer/lib/installer.py
+++ b/installer/lib/installer.py
@@ -407,7 +407,7 @@ def get_pip_from_venv(venv_path: Path) -> str:
     :rtype: str
     """
 
-    pip = "Scripts\pip.exe" if OS == "Windows" else "bin/pip"
+    pip = "Scripts\\pip.exe" if OS == "Windows" else "bin/pip"
     return str(venv_path.expanduser().resolve() / pip)
 
 
diff --git a/installer/lib/main.py b/installer/lib/main.py
index 4f1372652b..5c9e6f8229 100644
--- a/installer/lib/main.py
+++ b/installer/lib/main.py
@@ -49,7 +49,7 @@ if __name__ == "__main__":
 
     try:
         inst.install(**args.__dict__)
-    except KeyboardInterrupt as exc:
+    except KeyboardInterrupt:
         print("\n")
         print("Ctrl-C pressed. Aborting.")
         print("Come back soon!")
diff --git a/installer/lib/messages.py b/installer/lib/messages.py
index e6362b75d0..c5a39dc91c 100644
--- a/installer/lib/messages.py
+++ b/installer/lib/messages.py
@@ -70,7 +70,7 @@ def confirm_install(dest: Path) -> bool:
         )
     else:
         print(f"InvokeAI will be installed in {dest}")
-        dest_confirmed = not Confirm.ask(f"Would you like to pick a different location?", default=False)
+        dest_confirmed = not Confirm.ask("Would you like to pick a different location?", default=False)
     console.line()
 
     return dest_confirmed
@@ -90,7 +90,7 @@ def dest_path(dest=None) -> Path:
         dest = Path(dest).expanduser().resolve()
     else:
         dest = Path.cwd().expanduser().resolve()
-    prev_dest = dest.expanduser().resolve()
+    prev_dest = init_path = dest
 
     dest_confirmed = confirm_install(dest)
 
@@ -109,9 +109,9 @@ def dest_path(dest=None) -> Path:
         )
 
         console.line()
-        print(f"[orange3]Please select the destination directory for the installation:[/] \[{browse_start}]: ")
+        console.print(f"[orange3]Please select the destination directory for the installation:[/] \\[{browse_start}]: ")
         selected = prompt(
-            f">>> ",
+            ">>> ",
             complete_in_thread=True,
             completer=path_completer,
             default=str(browse_start) + os.sep,
@@ -134,14 +134,14 @@ def dest_path(dest=None) -> Path:
     try:
         dest.mkdir(exist_ok=True, parents=True)
         return dest
-    except PermissionError as exc:
-        print(
+    except PermissionError:
+        console.print(
             f"Failed to create directory {dest} due to insufficient permissions",
             style=Style(color="red"),
             highlight=True,
         )
-    except OSError as exc:
-        console.print_exception(exc)
+    except OSError:
+        console.print_exception()
 
     if Confirm.ask("Would you like to try again?"):
         dest_path(init_path)
diff --git a/invokeai/app/api/dependencies.py b/invokeai/app/api/dependencies.py
index 4aaf7a0272..39642df19b 100644
--- a/invokeai/app/api/dependencies.py
+++ b/invokeai/app/api/dependencies.py
@@ -1,6 +1,5 @@
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
 
-from typing import Optional
 from logging import Logger
 from invokeai.app.services.board_image_record_storage import (
     SqliteBoardImageRecordStorage,
@@ -45,7 +44,7 @@ def check_internet() -> bool:
     try:
         urllib.request.urlopen(host, timeout=1)
         return True
-    except:
+    except Exception:
         return False
 
 
diff --git a/invokeai/app/api/routers/board_images.py b/invokeai/app/api/routers/board_images.py
index 73607ecb7d..8e36a682d2 100644
--- a/invokeai/app/api/routers/board_images.py
+++ b/invokeai/app/api/routers/board_images.py
@@ -34,7 +34,7 @@ async def add_image_to_board(
             board_id=board_id, image_name=image_name
         )
         return result
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=500, detail="Failed to add image to board")
 
 
@@ -53,7 +53,7 @@ async def remove_image_from_board(
     try:
         result = ApiDependencies.invoker.services.board_images.remove_image_from_board(image_name=image_name)
         return result
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=500, detail="Failed to remove image from board")
 
 
@@ -79,10 +79,10 @@ async def add_images_to_board(
                     board_id=board_id, image_name=image_name
                 )
                 added_image_names.append(image_name)
-            except:
+            except Exception:
                 pass
         return AddImagesToBoardResult(board_id=board_id, added_image_names=added_image_names)
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=500, detail="Failed to add images to board")
 
 
@@ -105,8 +105,8 @@ async def remove_images_from_board(
             try:
                 ApiDependencies.invoker.services.board_images.remove_image_from_board(image_name=image_name)
                 removed_image_names.append(image_name)
-            except:
+            except Exception:
                 pass
         return RemoveImagesFromBoardResult(removed_image_names=removed_image_names)
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=500, detail="Failed to remove images from board")
diff --git a/invokeai/app/api/routers/boards.py b/invokeai/app/api/routers/boards.py
index 69f4a8b3a7..630135f236 100644
--- a/invokeai/app/api/routers/boards.py
+++ b/invokeai/app/api/routers/boards.py
@@ -37,7 +37,7 @@ async def create_board(
     try:
         result = ApiDependencies.invoker.services.boards.create(board_name=board_name)
         return result
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=500, detail="Failed to create board")
 
 
@@ -50,7 +50,7 @@ async def get_board(
     try:
         result = ApiDependencies.invoker.services.boards.get_dto(board_id=board_id)
         return result
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=404, detail="Board not found")
 
 
@@ -73,7 +73,7 @@ async def update_board(
     try:
         result = ApiDependencies.invoker.services.boards.update(board_id=board_id, changes=changes)
         return result
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=500, detail="Failed to update board")
 
 
@@ -105,7 +105,7 @@ async def delete_board(
                 deleted_board_images=deleted_board_images,
                 deleted_images=[],
             )
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=500, detail="Failed to delete board")
 
 
diff --git a/invokeai/app/api/routers/images.py b/invokeai/app/api/routers/images.py
index 692dc7fd21..72ce94e9cf 100644
--- a/invokeai/app/api/routers/images.py
+++ b/invokeai/app/api/routers/images.py
@@ -55,7 +55,7 @@ async def upload_image(
         if crop_visible:
             bbox = pil_image.getbbox()
             pil_image = pil_image.crop(bbox)
-    except:
+    except Exception:
         # Error opening the image
         raise HTTPException(status_code=415, detail="Failed to read image")
 
@@ -73,7 +73,7 @@ async def upload_image(
         response.headers["Location"] = image_dto.image_url
 
         return image_dto
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=500, detail="Failed to create image")
 
 
@@ -85,7 +85,7 @@ async def delete_image(
 
     try:
         ApiDependencies.invoker.services.images.delete(image_name)
-    except Exception as e:
+    except Exception:
         # TODO: Does this need any exception handling at all?
         pass
 
@@ -97,7 +97,7 @@ async def clear_intermediates() -> int:
     try:
         count_deleted = ApiDependencies.invoker.services.images.delete_intermediates()
         return count_deleted
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=500, detail="Failed to clear intermediates")
         pass
 
@@ -115,7 +115,7 @@ async def update_image(
 
     try:
         return ApiDependencies.invoker.services.images.update(image_name, image_changes)
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=400, detail="Failed to update image")
 
 
@@ -131,7 +131,7 @@ async def get_image_dto(
 
     try:
         return ApiDependencies.invoker.services.images.get_dto(image_name)
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=404)
 
 
@@ -147,7 +147,7 @@ async def get_image_metadata(
 
     try:
         return ApiDependencies.invoker.services.images.get_metadata(image_name)
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=404)
 
 
@@ -183,7 +183,7 @@ async def get_image_full(
         )
         response.headers["Cache-Control"] = f"max-age={IMAGE_MAX_AGE}"
         return response
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=404)
 
 
@@ -212,7 +212,7 @@ async def get_image_thumbnail(
         response = FileResponse(path, media_type="image/webp", content_disposition_type="inline")
         response.headers["Cache-Control"] = f"max-age={IMAGE_MAX_AGE}"
         return response
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=404)
 
 
@@ -234,7 +234,7 @@ async def get_image_urls(
             image_url=image_url,
             thumbnail_url=thumbnail_url,
         )
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=404)
 
 
@@ -282,10 +282,10 @@ async def delete_images_from_list(
             try:
                 ApiDependencies.invoker.services.images.delete(image_name)
                 deleted_images.append(image_name)
-            except:
+            except Exception:
                 pass
         return DeleteImagesFromListResult(deleted_images=deleted_images)
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=500, detail="Failed to delete images")
 
 
@@ -303,10 +303,10 @@ async def star_images_in_list(
             try:
                 ApiDependencies.invoker.services.images.update(image_name, changes=ImageRecordChanges(starred=True))
                 updated_image_names.append(image_name)
-            except:
+            except Exception:
                 pass
         return ImagesUpdatedFromListResult(updated_image_names=updated_image_names)
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=500, detail="Failed to star images")
 
 
@@ -320,8 +320,8 @@ async def unstar_images_in_list(
             try:
                 ApiDependencies.invoker.services.images.update(image_name, changes=ImageRecordChanges(starred=False))
                 updated_image_names.append(image_name)
-            except:
+            except Exception:
                 pass
         return ImagesUpdatedFromListResult(updated_image_names=updated_image_names)
-    except Exception as e:
+    except Exception:
         raise HTTPException(status_code=500, detail="Failed to unstar images")
diff --git a/invokeai/app/api/routers/sessions.py b/invokeai/app/api/routers/sessions.py
index e4ba2a353e..d5624048e8 100644
--- a/invokeai/app/api/routers/sessions.py
+++ b/invokeai/app/api/routers/sessions.py
@@ -1,12 +1,13 @@
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
 
-from typing import Annotated, List, Optional, Union
+from typing import Annotated, Optional, Union
 
 from fastapi import Body, HTTPException, Path, Query, Response
 from fastapi.routing import APIRouter
 from pydantic.fields import Field
 
-from ...invocations import *
+# Importing * is bad karma but needed here for node detection
+from ...invocations import *  # noqa: F401 F403
 from ...invocations.baseinvocation import BaseInvocation
 from ...services.graph import (
     Edge,
diff --git a/invokeai/app/api_app.py b/invokeai/app/api_app.py
index 20b2781ef0..0a31116878 100644
--- a/invokeai/app/api_app.py
+++ b/invokeai/app/api_app.py
@@ -1,6 +1,5 @@
 # Copyright (c) 2022-2023 Kyle Schouviller (https://github.com/kyle0654) and the InvokeAI Team
 import asyncio
-import sys
 from inspect import signature
 
 import logging
@@ -17,21 +16,11 @@ from fastapi_events.middleware import EventHandlerASGIMiddleware
 from pathlib import Path
 from pydantic.schema import schema
 
-# This should come early so that modules can log their initialization properly
 from .services.config import InvokeAIAppConfig
 from ..backend.util.logging import InvokeAILogger
 
-app_config = InvokeAIAppConfig.get_config()
-app_config.parse_args()
-logger = InvokeAILogger.getLogger(config=app_config)
 from invokeai.version.invokeai_version import __version__
 
-# we call this early so that the message appears before
-# other invokeai initialization messages
-if app_config.version:
-    print(f"InvokeAI version {__version__}")
-    sys.exit(0)
-
 import invokeai.frontend.web as web_dir
 import mimetypes
 
@@ -40,12 +29,17 @@ from .api.routers import sessions, models, images, boards, board_images, app_inf
 from .api.sockets import SocketIO
 from .invocations.baseinvocation import BaseInvocation, _InputField, _OutputField, UIConfigBase
 
-
 import torch
-import invokeai.backend.util.hotfixes
+import invokeai.backend.util.hotfixes  # noqa: F401 (monkeypatching on import)
 
 if torch.backends.mps.is_available():
-    import invokeai.backend.util.mps_fixes
+    import invokeai.backend.util.mps_fixes  # noqa: F401 (monkeypatching on import)
+
+
+app_config = InvokeAIAppConfig.get_config()
+app_config.parse_args()
+logger = InvokeAILogger.getLogger(config=app_config)
+
 
 # fix for windows mimetypes registry entries being borked
 # see https://github.com/invoke-ai/InvokeAI/discussions/3684#discussioncomment-6391352
@@ -230,13 +224,16 @@ def invoke_api():
 
     # replace uvicorn's loggers with InvokeAI's for consistent appearance
     for logname in ["uvicorn.access", "uvicorn"]:
-        l = logging.getLogger(logname)
-        l.handlers.clear()
+        log = logging.getLogger(logname)
+        log.handlers.clear()
         for ch in logger.handlers:
-            l.addHandler(ch)
+            log.addHandler(ch)
 
     loop.run_until_complete(server.serve())
 
 
 if __name__ == "__main__":
-    invoke_api()
+    if app_config.version:
+        print(f"InvokeAI version {__version__}")
+    else:
+        invoke_api()
diff --git a/invokeai/app/cli/completer.py b/invokeai/app/cli/completer.py
index fd10034dd7..086d8713d7 100644
--- a/invokeai/app/cli/completer.py
+++ b/invokeai/app/cli/completer.py
@@ -145,10 +145,10 @@ def set_autocompleter(services: InvocationServices) -> Completer:
     completer = Completer(services.model_manager)
 
     readline.set_completer(completer.complete)
-    # pyreadline3 does not have a set_auto_history() method
     try:
         readline.set_auto_history(True)
-    except:
+    except AttributeError:
+        # pyreadline3 does not have a set_auto_history() method
         pass
     readline.set_pre_input_hook(completer._pre_input_hook)
     readline.set_completer_delims(" ")
diff --git a/invokeai/app/cli_app.py b/invokeai/app/cli_app.py
index 4558c9219f..dfde3d1f58 100644
--- a/invokeai/app/cli_app.py
+++ b/invokeai/app/cli_app.py
@@ -13,16 +13,8 @@ from pydantic.fields import Field
 # This should come early so that the logger can pick up its configuration options
 from .services.config import InvokeAIAppConfig
 from invokeai.backend.util.logging import InvokeAILogger
-
-config = InvokeAIAppConfig.get_config()
-config.parse_args()
-logger = InvokeAILogger().getLogger(config=config)
 from invokeai.version.invokeai_version import __version__
 
-# we call this early so that the message appears before other invokeai initialization messages
-if config.version:
-    print(f"InvokeAI version {__version__}")
-    sys.exit(0)
 
 from invokeai.app.services.board_image_record_storage import (
     SqliteBoardImageRecordStorage,
@@ -62,10 +54,15 @@ from .services.processor import DefaultInvocationProcessor
 from .services.sqlite import SqliteItemStorage
 
 import torch
-import invokeai.backend.util.hotfixes
+import invokeai.backend.util.hotfixes  # noqa: F401 (monkeypatching on import)
 
 if torch.backends.mps.is_available():
-    import invokeai.backend.util.mps_fixes
+    import invokeai.backend.util.mps_fixes  # noqa: F401 (monkeypatching on import)
+
+
+config = InvokeAIAppConfig.get_config()
+config.parse_args()
+logger = InvokeAILogger().getLogger(config=config)
 
 
 class CliCommand(BaseModel):
@@ -482,4 +479,7 @@ def invoke_cli():
 
 
 if __name__ == "__main__":
-    invoke_cli()
+    if config.version:
+        print(f"InvokeAI version {__version__}")
+    else:
+        invoke_cli()
diff --git a/invokeai/app/invocations/baseinvocation.py b/invokeai/app/invocations/baseinvocation.py
index 363fa357ae..6094c868d9 100644
--- a/invokeai/app/invocations/baseinvocation.py
+++ b/invokeai/app/invocations/baseinvocation.py
@@ -230,7 +230,7 @@ def InputField(
       Internally, there is no difference between SD-1, SD-2 and SDXL model fields, they all use \
       `MainModelField`. So to ensure the base-model-specific UI is rendered, you can use \
       `UIType.SDXLMainModelField` to indicate that the field is an SDXL main model field.
-      
+
     :param UIComponent ui_component: [None] Optionally specifies a specific component to use in the UI. \
       The UI will always render a suitable component, but sometimes you want something different than the default. \
       For example, a `string` field will default to a single-line input, but you may want a multi-line textarea instead. \
diff --git a/invokeai/app/invocations/collections.py b/invokeai/app/invocations/collections.py
index fc7aec3e01..65bce2737e 100644
--- a/invokeai/app/invocations/collections.py
+++ b/invokeai/app/invocations/collections.py
@@ -5,10 +5,10 @@ from typing import Literal
 import numpy as np
 from pydantic import validator
 
-from invokeai.app.invocations.primitives import ImageCollectionOutput, ImageField, IntegerCollectionOutput
+from invokeai.app.invocations.primitives import IntegerCollectionOutput
 from invokeai.app.util.misc import SEED_MAX, get_random_seed
 
-from .baseinvocation import BaseInvocation, InputField, InvocationContext, UIType, tags, title
+from .baseinvocation import BaseInvocation, InputField, InvocationContext, tags, title
 
 
 @title("Integer Range")
diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index 0be33ce701..69e4ffcaae 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -12,7 +12,7 @@ from invokeai.backend.stable_diffusion.diffusion.shared_invokeai_diffusion impor
     SDXLConditioningInfo,
 )
 
-from ...backend.model_management import ModelPatcher, ModelType
+from ...backend.model_management.models import ModelType
 from ...backend.model_management.lora import ModelPatcher
 from ...backend.model_management.models import ModelNotFoundException
 from ...backend.stable_diffusion.diffusion import InvokeAIDiffuserComponent
diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py
index 811f767dee..c594a84fb3 100644
--- a/invokeai/app/invocations/controlnet_image_processors.py
+++ b/invokeai/app/invocations/controlnet_image_processors.py
@@ -29,7 +29,7 @@ from pydantic import BaseModel, Field, validator
 from invokeai.app.invocations.primitives import ImageField, ImageOutput
 
 
-from ...backend.model_management import BaseModelType, ModelType
+from ...backend.model_management import BaseModelType
 from ..models.image import ImageCategory, ResourceOrigin
 from .baseinvocation import (
     BaseInvocation,
diff --git a/invokeai/app/invocations/infill.py b/invokeai/app/invocations/infill.py
index 1547191f6c..fea418567b 100644
--- a/invokeai/app/invocations/infill.py
+++ b/invokeai/app/invocations/infill.py
@@ -90,7 +90,7 @@ def tile_fill_missing(im: Image.Image, tile_size: int = 16, seed: Optional[int]
         return im
 
     # Find all invalid tiles and replace with a random valid tile
-    replace_count = (tiles_mask == False).sum()
+    replace_count = (tiles_mask is False).sum()
     rng = np.random.default_rng(seed=seed)
     tiles_all[np.logical_not(tiles_mask)] = filtered_tiles[rng.choice(filtered_tiles.shape[0], replace_count), :, :, :]
 
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 40f7af8703..e12cc18f42 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -15,7 +15,7 @@ from diffusers.models.attention_processor import (
 )
 from diffusers.schedulers import DPMSolverSDEScheduler
 from diffusers.schedulers import SchedulerMixin as Scheduler
-from pydantic import BaseModel, Field, validator
+from pydantic import validator
 from torchvision.transforms.functional import resize as tv_resize
 
 from invokeai.app.invocations.metadata import CoreMetadata
@@ -30,7 +30,7 @@ from invokeai.app.util.controlnet_utils import prepare_control_image
 from invokeai.app.util.step_callback import stable_diffusion_step_callback
 from invokeai.backend.model_management.models import ModelType, SilenceWarnings
 
-from ...backend.model_management import BaseModelType, ModelPatcher
+from ...backend.model_management.models import BaseModelType
 from ...backend.model_management.lora import ModelPatcher
 from ...backend.stable_diffusion import PipelineIntermediateState
 from ...backend.stable_diffusion.diffusers_pipeline import (
@@ -45,12 +45,10 @@ from ...backend.util.devices import choose_precision, choose_torch_device
 from ..models.image import ImageCategory, ResourceOrigin
 from .baseinvocation import (
     BaseInvocation,
-    BaseInvocationOutput,
     FieldDescriptions,
     Input,
     InputField,
     InvocationContext,
-    OutputField,
     UIType,
     tags,
     title,
diff --git a/invokeai/app/invocations/model.py b/invokeai/app/invocations/model.py
index 484a4d71e1..cecca78651 100644
--- a/invokeai/app/invocations/model.py
+++ b/invokeai/app/invocations/model.py
@@ -1,5 +1,5 @@
 import copy
-from typing import List, Literal, Optional, Union
+from typing import List, Literal, Optional
 
 from pydantic import BaseModel, Field
 
diff --git a/invokeai/app/invocations/noise.py b/invokeai/app/invocations/noise.py
index 6fae308fdc..d1dd320ee8 100644
--- a/invokeai/app/invocations/noise.py
+++ b/invokeai/app/invocations/noise.py
@@ -16,7 +16,6 @@ from .baseinvocation import (
     InputField,
     InvocationContext,
     OutputField,
-    UIType,
     tags,
     title,
 )
diff --git a/invokeai/app/invocations/onnx.py b/invokeai/app/invocations/onnx.py
index 6cff56fb2e..3e65c1e55d 100644
--- a/invokeai/app/invocations/onnx.py
+++ b/invokeai/app/invocations/onnx.py
@@ -2,14 +2,13 @@
 
 import inspect
 import re
-from contextlib import ExitStack
+
+# from contextlib import ExitStack
 from typing import List, Literal, Optional, Union
 
 import numpy as np
 import torch
-from diffusers import ControlNetModel, DPMSolverMultistepScheduler
 from diffusers.image_processor import VaeImageProcessor
-from diffusers.schedulers import SchedulerMixin as Scheduler
 from pydantic import BaseModel, Field, validator
 from tqdm import tqdm
 
@@ -72,7 +71,7 @@ class ONNXPromptInvocation(BaseInvocation):
         text_encoder_info = context.services.model_manager.get_model(
             **self.clip.text_encoder.dict(),
         )
-        with tokenizer_info as orig_tokenizer, text_encoder_info as text_encoder, ExitStack() as stack:
+        with tokenizer_info as orig_tokenizer, text_encoder_info as text_encoder:  # , ExitStack() as stack:
             loras = [
                 (context.services.model_manager.get_model(**lora.dict(exclude={"weight"})).context.model, lora.weight)
                 for lora in self.clip.loras
@@ -259,7 +258,7 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
 
         unet_info = context.services.model_manager.get_model(**self.unet.unet.dict())
 
-        with unet_info as unet, ExitStack() as stack:
+        with unet_info as unet:  # , ExitStack() as stack:
             # loras = [(stack.enter_context(context.services.model_manager.get_model(**lora.dict(exclude={"weight"}))), lora.weight) for lora in self.unet.loras]
             loras = [
                 (context.services.model_manager.get_model(**lora.dict(exclude={"weight"})).context.model, lora.weight)
diff --git a/invokeai/app/invocations/param_easing.py b/invokeai/app/invocations/param_easing.py
index 67f96b0c34..70baa85817 100644
--- a/invokeai/app/invocations/param_easing.py
+++ b/invokeai/app/invocations/param_easing.py
@@ -38,13 +38,10 @@ from easing_functions import (
     SineEaseInOut,
     SineEaseOut,
 )
-from matplotlib.figure import Figure
 from matplotlib.ticker import MaxNLocator
-from pydantic import BaseModel, Field
 
 from invokeai.app.invocations.primitives import FloatCollectionOutput
 
-from ...backend.util.logging import InvokeAILogger
 from .baseinvocation import BaseInvocation, InputField, InvocationContext, tags, title
 
 
diff --git a/invokeai/app/invocations/primitives.py b/invokeai/app/invocations/primitives.py
index 61ef9fa27c..f32cb14f3a 100644
--- a/invokeai/app/invocations/primitives.py
+++ b/invokeai/app/invocations/primitives.py
@@ -1,7 +1,6 @@
 # Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
 
-from typing import Literal, Optional, Tuple, Union
-from anyio import Condition
+from typing import Literal, Optional, Tuple
 
 from pydantic import BaseModel, Field
 import torch
diff --git a/invokeai/app/invocations/upscale.py b/invokeai/app/invocations/upscale.py
index cd4463e174..6e6d440adf 100644
--- a/invokeai/app/invocations/upscale.py
+++ b/invokeai/app/invocations/upscale.py
@@ -1,6 +1,6 @@
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) & the InvokeAI Team
 from pathlib import Path
-from typing import Literal, Union
+from typing import Literal
 
 import cv2 as cv
 import numpy as np
diff --git a/invokeai/app/services/board_images.py b/invokeai/app/services/board_images.py
index f41526bfa7..7c6995dfc8 100644
--- a/invokeai/app/services/board_images.py
+++ b/invokeai/app/services/board_images.py
@@ -1,18 +1,14 @@
 from abc import ABC, abstractmethod
 from logging import Logger
-from typing import List, Union, Optional
+from typing import Optional
 from invokeai.app.services.board_image_record_storage import BoardImageRecordStorageBase
 from invokeai.app.services.board_record_storage import (
     BoardRecord,
     BoardRecordStorageBase,
 )
 
-from invokeai.app.services.image_record_storage import (
-    ImageRecordStorageBase,
-    OffsetPaginatedResults,
-)
+from invokeai.app.services.image_record_storage import ImageRecordStorageBase
 from invokeai.app.services.models.board_record import BoardDTO
-from invokeai.app.services.models.image_record import ImageDTO, image_record_to_dto
 from invokeai.app.services.urls import UrlServiceBase
 
 
diff --git a/invokeai/app/services/board_record_storage.py b/invokeai/app/services/board_record_storage.py
index 2fad7b0ab3..593bb3e7b9 100644
--- a/invokeai/app/services/board_record_storage.py
+++ b/invokeai/app/services/board_record_storage.py
@@ -1,15 +1,14 @@
-from abc import ABC, abstractmethod
-from typing import Optional, cast
-import sqlite3
 import threading
-from typing import Optional, Union
 import uuid
+from abc import ABC, abstractmethod
+from typing import Optional, Union, cast
+
+import sqlite3
 from invokeai.app.services.image_record_storage import OffsetPaginatedResults
 from invokeai.app.services.models.board_record import (
     BoardRecord,
     deserialize_board_record,
 )
-
 from pydantic import BaseModel, Field, Extra
 
 
@@ -230,7 +229,7 @@ class SqliteBoardRecordStorage(BoardRecordStorageBase):
             # Change the name of a board
             if changes.board_name is not None:
                 self._cursor.execute(
-                    f"""--sql
+                    """--sql
                     UPDATE boards
                     SET board_name = ?
                     WHERE board_id = ?;
@@ -241,7 +240,7 @@ class SqliteBoardRecordStorage(BoardRecordStorageBase):
             # Change the cover image of a board
             if changes.cover_image_name is not None:
                 self._cursor.execute(
-                    f"""--sql
+                    """--sql
                     UPDATE boards
                     SET cover_image_name = ?
                     WHERE board_id = ?;
diff --git a/invokeai/app/services/config.py b/invokeai/app/services/config.py
index 9ff43467c5..a9e5bbee98 100644
--- a/invokeai/app/services/config.py
+++ b/invokeai/app/services/config.py
@@ -167,7 +167,7 @@ from argparse import ArgumentParser
 from omegaconf import OmegaConf, DictConfig, ListConfig
 from pathlib import Path
 from pydantic import BaseSettings, Field, parse_obj_as
-from typing import ClassVar, Dict, List, Set, Literal, Union, get_origin, get_type_hints, get_args
+from typing import ClassVar, Dict, List, Literal, Union, get_origin, get_type_hints, get_args
 
 INIT_FILE = Path("invokeai.yaml")
 DB_FILE = Path("invokeai.db")
@@ -394,7 +394,7 @@ class InvokeAIAppConfig(InvokeAISettings):
     free_gpu_mem        : bool = Field(default=False, description="If true, purge model from GPU after each generation.", category='Memory/Performance')
     max_cache_size      : float = Field(default=6.0, gt=0, description="Maximum memory amount used by model cache for rapid switching", category='Memory/Performance')
     max_vram_cache_size : float = Field(default=2.75, ge=0, description="Amount of VRAM reserved for model storage", category='Memory/Performance')
-    precision           : Literal[tuple(['auto','float16','float32','autocast'])] = Field(default='auto',description='Floating point precision', category='Memory/Performance')
+    precision           : Literal['auto', 'float16', 'float32', 'autocast'] = Field(default='auto', description='Floating point precision', category='Memory/Performance')
     sequential_guidance : bool = Field(default=False, description="Whether to calculate guidance in serial instead of in parallel, lowering memory requirements", category='Memory/Performance')
     xformers_enabled    : bool = Field(default=True, description="Enable/disable memory-efficient attention", category='Memory/Performance')
     tiled_decode        : bool = Field(default=False, description="Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty)", category='Memory/Performance')
@@ -415,8 +415,8 @@ class InvokeAIAppConfig(InvokeAISettings):
 
     log_handlers        : List[str] = Field(default=["console"], description='Log handler. Valid options are "console", "file=<path>", "syslog=path|address:host:port", "http=<url>"', category="Logging")
     # note - would be better to read the log_format values from logging.py, but this creates circular dependencies issues
-    log_format          : Literal[tuple(['plain','color','syslog','legacy'])] = Field(default="color", description='Log format. Use "plain" for text-only, "color" for colorized output, "legacy" for 2.3-style logging and "syslog" for syslog-style', category="Logging")
-    log_level           : Literal[tuple(["debug","info","warning","error","critical"])] = Field(default="info", description="Emit logging messages at this level or  higher", category="Logging")
+    log_format          : Literal['plain', 'color', 'syslog', 'legacy'] = Field(default="color", description='Log format. Use "plain" for text-only, "color" for colorized output, "legacy" for 2.3-style logging and "syslog" for syslog-style', category="Logging")
+    log_level           : Literal["debug", "info", "warning", "error", "critical"] = Field(default="info", description="Emit logging messages at this level or  higher", category="Logging")
 
     version             : bool = Field(default=False, description="Show InvokeAI version and exit", category="Other")
     # fmt: on
@@ -438,7 +438,7 @@ class InvokeAIAppConfig(InvokeAISettings):
         if conf is None:
             try:
                 conf = OmegaConf.load(self.root_dir / INIT_FILE)
-            except:
+            except Exception:
                 pass
         InvokeAISettings.initconf = conf
 
@@ -457,7 +457,7 @@ class InvokeAIAppConfig(InvokeAISettings):
         """
         if (
             cls.singleton_config is None
-            or type(cls.singleton_config) != cls
+            or type(cls.singleton_config) is not cls
             or (kwargs and cls.singleton_init != kwargs)
         ):
             cls.singleton_config = cls(**kwargs)
diff --git a/invokeai/app/services/graph.py b/invokeai/app/services/graph.py
index c412431b43..51cc8a30ae 100644
--- a/invokeai/app/services/graph.py
+++ b/invokeai/app/services/graph.py
@@ -9,7 +9,8 @@ import networkx as nx
 from pydantic import BaseModel, root_validator, validator
 from pydantic.fields import Field
 
-from ..invocations import *
+# Importing * is bad karma but needed here for node detection
+from ..invocations import *  # noqa: F401 F403
 from ..invocations.baseinvocation import (
     BaseInvocation,
     BaseInvocationOutput,
@@ -445,7 +446,7 @@ class Graph(BaseModel):
         node = graph.nodes[node_id]
 
         # Ensure the node type matches the new node
-        if type(node) != type(new_node):
+        if type(node) is not type(new_node):
             raise TypeError(f"Node {node_path} is type {type(node)} but new node is type {type(new_node)}")
 
         # Ensure the new id is either the same or is not in the graph
@@ -632,7 +633,7 @@ class Graph(BaseModel):
             [
                 t
                 for input_field in input_fields
-                for t in ([input_field] if get_origin(input_field) == None else get_args(input_field))
+                for t in ([input_field] if get_origin(input_field) is None else get_args(input_field))
                 if t != NoneType
             ]
         )  # Get unique types
@@ -923,7 +924,7 @@ class GraphExecutionState(BaseModel):
             None,
         )
 
-        if next_node_id == None:
+        if next_node_id is None:
             return None
 
         # Get all parents of the next node
diff --git a/invokeai/app/services/image_file_storage.py b/invokeai/app/services/image_file_storage.py
index fb8563a3e4..2a8bab9c3f 100644
--- a/invokeai/app/services/image_file_storage.py
+++ b/invokeai/app/services/image_file_storage.py
@@ -179,7 +179,7 @@ class DiskImageFileStorage(ImageFileStorageBase):
         return None if image_name not in self.__cache else self.__cache[image_name]
 
     def __set_cache(self, image_name: Path, image: PILImageType):
-        if not image_name in self.__cache:
+        if image_name not in self.__cache:
             self.__cache[image_name] = image
             self.__cache_ids.put(image_name)  # TODO: this should refresh position for LRU cache
             if len(self.__cache) > self.__max_cache_size:
diff --git a/invokeai/app/services/image_record_storage.py b/invokeai/app/services/image_record_storage.py
index aa71431b7f..8f1b25b84a 100644
--- a/invokeai/app/services/image_record_storage.py
+++ b/invokeai/app/services/image_record_storage.py
@@ -282,7 +282,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
             self._lock.acquire()
 
             self._cursor.execute(
-                f"""--sql
+                """--sql
                 SELECT images.metadata FROM images
                 WHERE image_name = ?;
                 """,
@@ -309,7 +309,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
             # Change the category of the image
             if changes.image_category is not None:
                 self._cursor.execute(
-                    f"""--sql
+                    """--sql
                     UPDATE images
                     SET image_category = ?
                     WHERE image_name = ?;
@@ -320,7 +320,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
             # Change the session associated with the image
             if changes.session_id is not None:
                 self._cursor.execute(
-                    f"""--sql
+                    """--sql
                     UPDATE images
                     SET session_id = ?
                     WHERE image_name = ?;
@@ -331,7 +331,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
             # Change the image's `is_intermediate`` flag
             if changes.is_intermediate is not None:
                 self._cursor.execute(
-                    f"""--sql
+                    """--sql
                     UPDATE images
                     SET is_intermediate = ?
                     WHERE image_name = ?;
@@ -342,7 +342,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
             # Change the image's `starred`` state
             if changes.starred is not None:
                 self._cursor.execute(
-                    f"""--sql
+                    """--sql
                     UPDATE images
                     SET starred = ?
                     WHERE image_name = ?;
diff --git a/invokeai/app/services/images.py b/invokeai/app/services/images.py
index 2240846dac..e5cb6c3319 100644
--- a/invokeai/app/services/images.py
+++ b/invokeai/app/services/images.py
@@ -1,4 +1,3 @@
-import json
 from abc import ABC, abstractmethod
 from logging import Logger
 from typing import TYPE_CHECKING, Optional
@@ -379,10 +378,10 @@ class ImageService(ImageServiceABC):
             self._services.image_files.delete(image_name)
             self._services.image_records.delete(image_name)
         except ImageRecordDeleteException:
-            self._services.logger.error(f"Failed to delete image record")
+            self._services.logger.error("Failed to delete image record")
             raise
         except ImageFileDeleteException:
-            self._services.logger.error(f"Failed to delete image file")
+            self._services.logger.error("Failed to delete image file")
             raise
         except Exception as e:
             self._services.logger.error("Problem deleting image record and file")
@@ -395,10 +394,10 @@ class ImageService(ImageServiceABC):
                 self._services.image_files.delete(image_name)
             self._services.image_records.delete_many(image_names)
         except ImageRecordDeleteException:
-            self._services.logger.error(f"Failed to delete image records")
+            self._services.logger.error("Failed to delete image records")
             raise
         except ImageFileDeleteException:
-            self._services.logger.error(f"Failed to delete image files")
+            self._services.logger.error("Failed to delete image files")
             raise
         except Exception as e:
             self._services.logger.error("Problem deleting image records and files")
@@ -412,10 +411,10 @@ class ImageService(ImageServiceABC):
                 self._services.image_files.delete(image_name)
             return count
         except ImageRecordDeleteException:
-            self._services.logger.error(f"Failed to delete image records")
+            self._services.logger.error("Failed to delete image records")
             raise
         except ImageFileDeleteException:
-            self._services.logger.error(f"Failed to delete image files")
+            self._services.logger.error("Failed to delete image files")
             raise
         except Exception as e:
             self._services.logger.error("Problem deleting image records and files")
diff --git a/invokeai/app/services/invocation_services.py b/invokeai/app/services/invocation_services.py
index d7d9aae024..d717087958 100644
--- a/invokeai/app/services/invocation_services.py
+++ b/invokeai/app/services/invocation_services.py
@@ -7,6 +7,7 @@ if TYPE_CHECKING:
     from invokeai.app.services.board_images import BoardImagesServiceABC
     from invokeai.app.services.boards import BoardServiceABC
     from invokeai.app.services.images import ImageServiceABC
+    from invokeai.app.services.invocation_stats import InvocationStatsServiceBase
     from invokeai.app.services.model_manager_service import ModelManagerServiceBase
     from invokeai.app.services.events import EventServiceBase
     from invokeai.app.services.latent_storage import LatentsStorageBase
diff --git a/invokeai/app/services/invocation_stats.py b/invokeai/app/services/invocation_stats.py
index 35c3a5e403..e8557c40f7 100644
--- a/invokeai/app/services/invocation_stats.py
+++ b/invokeai/app/services/invocation_stats.py
@@ -1,7 +1,6 @@
 # Copyright 2023 Lincoln D. Stein <lincoln.stein@gmail.com>
-"""Utility to collect execution time and GPU usage stats on invocations in flight"""
+"""Utility to collect execution time and GPU usage stats on invocations in flight
 
-"""
 Usage:
 
 statistics = InvocationStatsService(graph_execution_manager)
diff --git a/invokeai/app/services/latent_storage.py b/invokeai/app/services/latent_storage.py
index 7e781c49ec..7c22ea5ba8 100644
--- a/invokeai/app/services/latent_storage.py
+++ b/invokeai/app/services/latent_storage.py
@@ -60,7 +60,7 @@ class ForwardCacheLatentsStorage(LatentsStorageBase):
         return None if name not in self.__cache else self.__cache[name]
 
     def __set_cache(self, name: str, data: torch.Tensor):
-        if not name in self.__cache:
+        if name not in self.__cache:
             self.__cache[name] = data
             self.__cache_ids.put(name)
             if self.__cache_ids.qsize() > self.__max_cache_size:
diff --git a/invokeai/app/util/controlnet_utils.py b/invokeai/app/util/controlnet_utils.py
index 6f2c49fec2..1578598687 100644
--- a/invokeai/app/util/controlnet_utils.py
+++ b/invokeai/app/util/controlnet_utils.py
@@ -1,3 +1,4 @@
+from typing import Union
 import torch
 import numpy as np
 import cv2
@@ -5,7 +6,7 @@ from PIL import Image
 from diffusers.utils import PIL_INTERPOLATION
 
 from einops import rearrange
-from controlnet_aux.util import HWC3, resize_image
+from controlnet_aux.util import HWC3
 
 ###################################################################
 # Copy of scripts/lvminthin.py from Mikubill/sd-webui-controlnet
@@ -232,7 +233,8 @@ def np_img_resize(np_img: np.ndarray, resize_mode: str, h: int, w: int, device:
     k0 = float(h) / old_h
     k1 = float(w) / old_w
 
-    safeint = lambda x: int(np.round(x))
+    def safeint(x: Union[int, float]) -> int:
+        return int(np.round(x))
 
     # if resize_mode == external_code.ResizeMode.OUTER_FIT:
     if resize_mode == "fill_resize":  # OUTER_FIT
diff --git a/invokeai/app/util/step_callback.py b/invokeai/app/util/step_callback.py
index 3cadfa1c12..f6cccfb4b8 100644
--- a/invokeai/app/util/step_callback.py
+++ b/invokeai/app/util/step_callback.py
@@ -5,7 +5,6 @@ from invokeai.app.models.image import ProgressImage
 from ..invocations.baseinvocation import InvocationContext
 from ...backend.util.util import image_to_dataURL
 from ...backend.stable_diffusion import PipelineIntermediateState
-from invokeai.app.services.config import InvokeAIAppConfig
 from ...backend.model_management.models import BaseModelType
 
 
diff --git a/invokeai/backend/__init__.py b/invokeai/backend/__init__.py
index a4e6f180ae..2e77d12eca 100644
--- a/invokeai/backend/__init__.py
+++ b/invokeai/backend/__init__.py
@@ -1,5 +1,5 @@
 """
 Initialization file for invokeai.backend
 """
-from .model_management import ModelManager, ModelCache, BaseModelType, ModelType, SubModelType, ModelInfo
-from .model_management.models import SilenceWarnings
+from .model_management import ModelManager, ModelCache, BaseModelType, ModelType, SubModelType, ModelInfo  # noqa: F401
+from .model_management.models import SilenceWarnings  # noqa: F401
diff --git a/invokeai/backend/image_util/__init__.py b/invokeai/backend/image_util/__init__.py
index 9fa635b389..0be5a78a93 100644
--- a/invokeai/backend/image_util/__init__.py
+++ b/invokeai/backend/image_util/__init__.py
@@ -1,14 +1,16 @@
 """
 Initialization file for invokeai.backend.image_util methods.
 """
-from .patchmatch import PatchMatch
-from .pngwriter import PngWriter, PromptFormatter, retrieve_metadata, write_metadata
-from .seamless import configure_model_padding
-from .txt2mask import Txt2Mask
-from .util import InitImageResizer, make_grid
+from .patchmatch import PatchMatch  # noqa: F401
+from .pngwriter import PngWriter, PromptFormatter, retrieve_metadata, write_metadata  # noqa: F401
+from .seamless import configure_model_padding  # noqa: F401
+from .txt2mask import Txt2Mask  # noqa: F401
+from .util import InitImageResizer, make_grid  # noqa: F401
 
 
 def debug_image(debug_image, debug_text, debug_show=True, debug_result=False, debug_status=False):
+    from PIL import ImageDraw
+
     if not debug_status:
         return
 
diff --git a/invokeai/backend/image_util/pngwriter.py b/invokeai/backend/image_util/pngwriter.py
index d3f53d7e72..47f6a44c28 100644
--- a/invokeai/backend/image_util/pngwriter.py
+++ b/invokeai/backend/image_util/pngwriter.py
@@ -26,7 +26,7 @@ class PngWriter:
         dirlist = sorted(os.listdir(self.outdir), reverse=True)
         # find the first filename that matches our pattern or return 000000.0.png
         existing_name = next(
-            (f for f in dirlist if re.match("^(\d+)\..*\.png", f)),
+            (f for f in dirlist if re.match(r"^(\d+)\..*\.png", f)),
             "0000000.0.png",
         )
         basecount = int(existing_name.split(".", 1)[0]) + 1
@@ -98,11 +98,11 @@ class PromptFormatter:
         # to do: put model name into the t2i object
         #        switches.append(f'--model{t2i.model_name}')
         if opt.seamless or t2i.seamless:
-            switches.append(f"--seamless")
+            switches.append("--seamless")
         if opt.init_img:
             switches.append(f"-I{opt.init_img}")
         if opt.fit:
-            switches.append(f"--fit")
+            switches.append("--fit")
         if opt.strength and opt.init_img is not None:
             switches.append(f"-f{opt.strength or t2i.strength}")
         if opt.gfpgan_strength:
diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py
index 6996b913c2..d7ecb41e9b 100755
--- a/invokeai/backend/install/invokeai_configure.py
+++ b/invokeai/backend/install/invokeai_configure.py
@@ -52,7 +52,6 @@ from invokeai.frontend.install.widgets import (
     SingleSelectColumns,
     CenteredButtonPress,
     FileBox,
-    IntTitleSlider,
     set_min_terminal_size,
     CyclingForm,
     MIN_COLS,
@@ -308,7 +307,7 @@ class editOptsForm(CyclingForm, npyscreen.FormMultiPage):
         first_time = not (config.root_path / "invokeai.yaml").exists()
         access_token = HfFolder.get_token()
         window_width, window_height = get_terminal_size()
-        label = """Configure startup settings. You can come back and change these later. 
+        label = """Configure startup settings. You can come back and change these later.
 Use ctrl-N and ctrl-P to move to the <N>ext and <P>revious fields.
 Use cursor arrows to make a checkbox selection, and space to toggle.
 """
diff --git a/invokeai/backend/install/migrate_to_3.py b/invokeai/backend/install/migrate_to_3.py
index 0938ed2199..e53f211647 100644
--- a/invokeai/backend/install/migrate_to_3.py
+++ b/invokeai/backend/install/migrate_to_3.py
@@ -525,7 +525,7 @@ def do_migrate(src_directory: Path, dest_directory: Path):
     if version_3:  # write into the dest directory
         try:
             shutil.copy(dest_directory / "configs" / "models.yaml", config_file)
-        except:
+        except Exception:
             MigrateTo3.initialize_yaml(config_file)
         mgr = ModelManager(config_file)  # important to initialize BEFORE moving the models directory
         (dest_directory / "models").replace(dest_models)
@@ -553,7 +553,7 @@ def main():
     parser = argparse.ArgumentParser(
         prog="invokeai-migrate3",
         description="""
-This will copy and convert the models directory and the configs/models.yaml from the InvokeAI 2.3 format 
+This will copy and convert the models directory and the configs/models.yaml from the InvokeAI 2.3 format
 '--from-directory' root to the InvokeAI 3.0 '--to-directory' root. These may be abbreviated '--from' and '--to'.a
 
 The old models directory and config file will be renamed 'models.orig' and 'models.yaml.orig' respectively.
diff --git a/invokeai/backend/install/model_install_backend.py b/invokeai/backend/install/model_install_backend.py
index 3a6d879bee..e41783ab09 100644
--- a/invokeai/backend/install/model_install_backend.py
+++ b/invokeai/backend/install/model_install_backend.py
@@ -12,7 +12,6 @@ from typing import Optional, List, Dict, Callable, Union, Set
 import requests
 from diffusers import DiffusionPipeline
 from diffusers import logging as dlogging
-import onnx
 import torch
 from huggingface_hub import hf_hub_url, HfFolder, HfApi
 from omegaconf import OmegaConf
diff --git a/invokeai/backend/model_management/__init__.py b/invokeai/backend/model_management/__init__.py
index 8e083c1045..6376585fe5 100644
--- a/invokeai/backend/model_management/__init__.py
+++ b/invokeai/backend/model_management/__init__.py
@@ -1,10 +1,10 @@
 """
 Initialization file for invokeai.backend.model_management
 """
-from .model_manager import ModelManager, ModelInfo, AddModelResult, SchedulerPredictionType
-from .model_cache import ModelCache
-from .lora import ModelPatcher, ONNXModelPatcher
-from .models import (
+from .model_manager import ModelManager, ModelInfo, AddModelResult, SchedulerPredictionType  # noqa: F401
+from .model_cache import ModelCache  # noqa: F401
+from .lora import ModelPatcher, ONNXModelPatcher  # noqa: F401
+from .models import (  # noqa: F401
     BaseModelType,
     ModelType,
     SubModelType,
@@ -12,5 +12,4 @@ from .models import (
     ModelNotFoundException,
     DuplicateModelException,
 )
-from .model_merge import ModelMerger, MergeInterpolationMethod
-from .lora import ModelPatcher
+from .model_merge import ModelMerger, MergeInterpolationMethod  # noqa: F401
diff --git a/invokeai/backend/model_management/lora.py b/invokeai/backend/model_management/lora.py
index 3da27988dc..d665edf6ca 100644
--- a/invokeai/backend/model_management/lora.py
+++ b/invokeai/backend/model_management/lora.py
@@ -5,21 +5,16 @@ from contextlib import contextmanager
 from typing import Optional, Dict, Tuple, Any, Union, List
 from pathlib import Path
 
-import torch
-from safetensors.torch import load_file
-from torch.utils.hooks import RemovableHandle
-
-from diffusers.models import UNet2DConditionModel
-from transformers import CLIPTextModel
-from onnx import numpy_helper
-from onnxruntime import OrtValue
 import numpy as np
-
+import torch
 from compel.embeddings_provider import BaseTextualInversionManager
 from diffusers.models import UNet2DConditionModel
 from safetensors.torch import load_file
 from transformers import CLIPTextModel, CLIPTokenizer
 
+from .models.lora import LoRAModel
+
+
 """
 loras = [
     (lora_model1, 0.7),
@@ -52,7 +47,7 @@ class ModelPatcher:
                 module = module.get_submodule(submodule_name)
                 module_key += "." + submodule_name
                 submodule_name = key_parts.pop(0)
-            except:
+            except Exception:
                 submodule_name += "_" + key_parts.pop(0)
 
         module = module.get_submodule(submodule_name)
@@ -341,7 +336,7 @@ class ONNXModelPatcher:
     def apply_lora(
         cls,
         model: IAIOnnxRuntimeModel,
-        loras: List[Tuple[LoraModel, float]],
+        loras: List[Tuple[LoRAModel, float]],
         prefix: str,
     ):
         from .models.base import IAIOnnxRuntimeModel
diff --git a/invokeai/backend/model_management/model_cache.py b/invokeai/backend/model_management/model_cache.py
index a11e0a8a8f..6f3e5bd6a5 100644
--- a/invokeai/backend/model_management/model_cache.py
+++ b/invokeai/backend/model_management/model_cache.py
@@ -273,7 +273,7 @@ class ModelCache(object):
                     self.cache.logger.debug(f"Locking {self.key} in {self.cache.execution_device}")
                     self.cache._print_cuda_stats()
 
-                except:
+                except Exception:
                     self.cache_entry.unlock()
                     raise
 
diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index adc3aaa661..1b10554e69 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -419,12 +419,12 @@ class ModelManager(object):
         base_model_str, model_type_str, model_name = model_key.split("/", 2)
         try:
             model_type = ModelType(model_type_str)
-        except:
+        except Exception:
             raise Exception(f"Unknown model type: {model_type_str}")
 
         try:
             base_model = BaseModelType(base_model_str)
-        except:
+        except Exception:
             raise Exception(f"Unknown base model: {base_model_str}")
 
         return (model_name, base_model, model_type)
@@ -855,7 +855,7 @@ class ModelManager(object):
             info.pop("config")
 
             result = self.add_model(model_name, base_model, model_type, model_attributes=info, clobber=True)
-        except:
+        except Exception:
             # something went wrong, so don't leave dangling diffusers model in directory or it will cause a duplicate model error!
             rmtree(new_diffusers_path)
             raise
@@ -1042,7 +1042,7 @@ class ModelManager(object):
         # Patch in the SD VAE from core so that it is available for use by the UI
         try:
             self.heuristic_import({str(self.resolve_model_path("core/convert/sd-vae-ft-mse"))})
-        except:
+        except Exception:
             pass
 
         installer = ModelInstall(
diff --git a/invokeai/backend/model_management/model_probe.py b/invokeai/backend/model_management/model_probe.py
index 3045849065..9f56958366 100644
--- a/invokeai/backend/model_management/model_probe.py
+++ b/invokeai/backend/model_management/model_probe.py
@@ -217,9 +217,9 @@ class ModelProbe(object):
             raise "The model {model_name} is potentially infected by malware. Aborting import."
 
 
-###################################################3
+# ##################################################3
 # Checkpoint probing
-###################################################3
+# ##################################################3
 class ProbeBase(object):
     def get_base_type(self) -> BaseModelType:
         pass
@@ -431,7 +431,7 @@ class PipelineFolderProbe(FolderProbeBase):
                 return ModelVariantType.Depth
             elif in_channels == 4:
                 return ModelVariantType.Normal
-        except:
+        except Exception:
             pass
         return ModelVariantType.Normal
 
diff --git a/invokeai/backend/model_management/models/__init__.py b/invokeai/backend/model_management/models/__init__.py
index 931da1b159..2de206257b 100644
--- a/invokeai/backend/model_management/models/__init__.py
+++ b/invokeai/backend/model_management/models/__init__.py
@@ -2,7 +2,7 @@ import inspect
 from enum import Enum
 from pydantic import BaseModel
 from typing import Literal, get_origin
-from .base import (
+from .base import (  # noqa: F401
     BaseModelType,
     ModelType,
     SubModelType,
@@ -118,7 +118,7 @@ def get_model_config_enums():
             fields = model_config.__annotations__
         try:
             field = fields["model_format"]
-        except:
+        except Exception:
             raise Exception("format field not found")
 
         # model_format: None
diff --git a/invokeai/backend/model_management/models/base.py b/invokeai/backend/model_management/models/base.py
index d335b645c8..ed1c2c6098 100644
--- a/invokeai/backend/model_management/models/base.py
+++ b/invokeai/backend/model_management/models/base.py
@@ -3,27 +3,28 @@ import os
 import sys
 import typing
 import inspect
-from enum import Enum
+import warnings
 from abc import ABCMeta, abstractmethod
+from contextlib import suppress
+from enum import Enum
 from pathlib import Path
 from picklescan.scanner import scan_file_path
+
 import torch
 import numpy as np
-import safetensors.torch
-from pathlib import Path
-from diffusers import DiffusionPipeline, ConfigMixin, OnnxRuntimeModel
-
-from contextlib import suppress
-from pydantic import BaseModel, Field
-from typing import List, Dict, Optional, Type, Literal, TypeVar, Generic, Callable, Any, Union
-
 import onnx
+import safetensors.torch
+from diffusers import DiffusionPipeline, ConfigMixin
 from onnx import numpy_helper
 from onnxruntime import (
     InferenceSession,
     SessionOptions,
     get_available_providers,
 )
+from pydantic import BaseModel, Field
+from typing import List, Dict, Optional, Type, Literal, TypeVar, Generic, Callable, Any, Union
+from diffusers import logging as diffusers_logging
+from transformers import logging as transformers_logging
 
 
 class DuplicateModelException(Exception):
@@ -171,7 +172,7 @@ class ModelBase(metaclass=ABCMeta):
                 fields = value.__annotations__
             try:
                 field = fields["model_format"]
-            except:
+            except Exception:
                 raise Exception(f"Invalid config definition - format field not found({cls.__qualname__})")
 
             if isinstance(field, type) and issubclass(field, str) and issubclass(field, Enum):
@@ -244,7 +245,7 @@ class DiffusersModel(ModelBase):
         try:
             config_data = DiffusionPipeline.load_config(self.model_path)
             # config_data = json.loads(os.path.join(self.model_path, "model_index.json"))
-        except:
+        except Exception:
             raise Exception("Invalid diffusers model! (model_index.json not found or invalid)")
 
         config_data.pop("_ignore_files", None)
@@ -343,7 +344,7 @@ def calc_model_size_by_fs(model_path: str, subfolder: Optional[str] = None, vari
             with open(os.path.join(model_path, file), "r") as f:
                 index_data = json.loads(f.read())
             return int(index_data["metadata"]["total_size"])
-        except:
+        except Exception:
             pass
 
     # calculate files size if there is no index file
@@ -440,7 +441,7 @@ def read_checkpoint_meta(path: Union[str, Path], scan: bool = False):
     if str(path).endswith(".safetensors"):
         try:
             checkpoint = _fast_safetensors_reader(path)
-        except:
+        except Exception:
             # TODO: create issue for support "meta"?
             checkpoint = safetensors.torch.load_file(path, device="cpu")
     else:
@@ -452,11 +453,6 @@ def read_checkpoint_meta(path: Union[str, Path], scan: bool = False):
     return checkpoint
 
 
-import warnings
-from diffusers import logging as diffusers_logging
-from transformers import logging as transformers_logging
-
-
 class SilenceWarnings(object):
     def __init__(self):
         self.transformers_verbosity = transformers_logging.get_verbosity()
@@ -639,7 +635,7 @@ class IAIOnnxRuntimeModel:
             raise Exception("You should call create_session before running model")
 
         inputs = {k: np.array(v) for k, v in kwargs.items()}
-        output_names = self.session.get_outputs()
+        # output_names = self.session.get_outputs()
         # for k in inputs:
         #     self.io_binding.bind_cpu_input(k, inputs[k])
         # for name in output_names:
diff --git a/invokeai/backend/model_management/models/controlnet.py b/invokeai/backend/model_management/models/controlnet.py
index 061be7ae49..ebc01399b5 100644
--- a/invokeai/backend/model_management/models/controlnet.py
+++ b/invokeai/backend/model_management/models/controlnet.py
@@ -43,7 +43,7 @@ class ControlNetModel(ModelBase):
         try:
             config = EmptyConfigLoader.load_config(self.model_path, config_name="config.json")
             # config = json.loads(os.path.join(self.model_path, "config.json"))
-        except:
+        except Exception:
             raise Exception("Invalid controlnet model! (config.json not found or invalid)")
 
         model_class_name = config.get("_class_name", None)
@@ -53,7 +53,7 @@ class ControlNetModel(ModelBase):
         try:
             self.model_class = self._hf_definition_to_type(["diffusers", model_class_name])
             self.model_size = calc_model_size_by_fs(self.model_path)
-        except:
+        except Exception:
             raise Exception("Invalid ControlNet model!")
 
     def get_size(self, child_type: Optional[SubModelType] = None):
@@ -78,7 +78,7 @@ class ControlNetModel(ModelBase):
                     variant=variant,
                 )
                 break
-            except:
+            except Exception:
                 pass
         if not model:
             raise ModelNotFoundException()
diff --git a/invokeai/backend/model_management/models/stable_diffusion.py b/invokeai/backend/model_management/models/stable_diffusion.py
index a112e8bc96..cc34f14b9c 100644
--- a/invokeai/backend/model_management/models/stable_diffusion.py
+++ b/invokeai/backend/model_management/models/stable_diffusion.py
@@ -330,5 +330,5 @@ def _select_ckpt_config(version: BaseModelType, variant: ModelVariantType):
             config_path = config_path.relative_to(app_config.root_path)
         return str(config_path)
 
-    except:
+    except Exception:
         return None
diff --git a/invokeai/backend/model_management/models/stable_diffusion_onnx.py b/invokeai/backend/model_management/models/stable_diffusion_onnx.py
index 03693e2c3e..c678b27646 100644
--- a/invokeai/backend/model_management/models/stable_diffusion_onnx.py
+++ b/invokeai/backend/model_management/models/stable_diffusion_onnx.py
@@ -1,25 +1,16 @@
-import os
-import json
 from enum import Enum
-from pydantic import Field
-from pathlib import Path
-from typing import Literal, Optional, Union
+from typing import Literal
 from .base import (
-    ModelBase,
     ModelConfigBase,
     BaseModelType,
     ModelType,
-    SubModelType,
     ModelVariantType,
     DiffusersModel,
     SchedulerPredictionType,
-    SilenceWarnings,
-    read_checkpoint_meta,
     classproperty,
     OnnxRuntimeModel,
     IAIOnnxRuntimeModel,
 )
-from invokeai.app.services.config import InvokeAIAppConfig
 
 
 class StableDiffusionOnnxModelFormat(str, Enum):
diff --git a/invokeai/backend/model_management/models/vae.py b/invokeai/backend/model_management/models/vae.py
index 957a102ffb..cf7622a9aa 100644
--- a/invokeai/backend/model_management/models/vae.py
+++ b/invokeai/backend/model_management/models/vae.py
@@ -44,14 +44,14 @@ class VaeModel(ModelBase):
         try:
             config = EmptyConfigLoader.load_config(self.model_path, config_name="config.json")
             # config = json.loads(os.path.join(self.model_path, "config.json"))
-        except:
+        except Exception:
             raise Exception("Invalid vae model! (config.json not found or invalid)")
 
         try:
             vae_class_name = config.get("_class_name", "AutoencoderKL")
             self.vae_class = self._hf_definition_to_type(["diffusers", vae_class_name])
             self.model_size = calc_model_size_by_fs(self.model_path)
-        except:
+        except Exception:
             raise Exception("Invalid vae model! (Unkown vae type)")
 
     def get_size(self, child_type: Optional[SubModelType] = None):
diff --git a/invokeai/backend/stable_diffusion/__init__.py b/invokeai/backend/stable_diffusion/__init__.py
index 21273c6201..a958750802 100644
--- a/invokeai/backend/stable_diffusion/__init__.py
+++ b/invokeai/backend/stable_diffusion/__init__.py
@@ -1,11 +1,15 @@
 """
 Initialization file for the invokeai.backend.stable_diffusion package
 """
-from .diffusers_pipeline import (
+from .diffusers_pipeline import (  # noqa: F401
     ConditioningData,
     PipelineIntermediateState,
     StableDiffusionGeneratorPipeline,
 )
-from .diffusion import InvokeAIDiffuserComponent
-from .diffusion.cross_attention_map_saving import AttentionMapSaver
-from .diffusion.shared_invokeai_diffusion import PostprocessingSettings, BasicConditioningInfo, SDXLConditioningInfo
+from .diffusion import InvokeAIDiffuserComponent  # noqa: F401
+from .diffusion.cross_attention_map_saving import AttentionMapSaver  # noqa: F401
+from .diffusion.shared_invokeai_diffusion import (  # noqa: F401
+    PostprocessingSettings,
+    BasicConditioningInfo,
+    SDXLConditioningInfo,
+)
diff --git a/invokeai/backend/stable_diffusion/diffusers_pipeline.py b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
index aa809bc3ec..0180830b76 100644
--- a/invokeai/backend/stable_diffusion/diffusers_pipeline.py
+++ b/invokeai/backend/stable_diffusion/diffusers_pipeline.py
@@ -2,10 +2,8 @@ from __future__ import annotations
 
 import dataclasses
 import inspect
-import math
-import secrets
 from dataclasses import dataclass, field
-from typing import Any, Callable, Generic, List, Optional, Type, Union
+from typing import Any, Callable, List, Optional, Union
 
 import PIL.Image
 import einops
diff --git a/invokeai/backend/stable_diffusion/diffusion/__init__.py b/invokeai/backend/stable_diffusion/diffusion/__init__.py
index 76f338aeaf..2bcc595889 100644
--- a/invokeai/backend/stable_diffusion/diffusion/__init__.py
+++ b/invokeai/backend/stable_diffusion/diffusion/__init__.py
@@ -1,9 +1,9 @@
 """
 Initialization file for invokeai.models.diffusion
 """
-from .cross_attention_control import InvokeAICrossAttentionMixin
-from .cross_attention_map_saving import AttentionMapSaver
-from .shared_invokeai_diffusion import (
+from .cross_attention_control import InvokeAICrossAttentionMixin  # noqa: F401
+from .cross_attention_map_saving import AttentionMapSaver  # noqa: F401
+from .shared_invokeai_diffusion import (  # noqa: F401
     InvokeAIDiffuserComponent,
     PostprocessingSettings,
     BasicConditioningInfo,
diff --git a/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py b/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py
index 38763ebbee..35d4800859 100644
--- a/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py
+++ b/invokeai/backend/stable_diffusion/diffusion/cross_attention_control.py
@@ -4,6 +4,7 @@
 
 import enum
 import math
+from dataclasses import dataclass, field
 from typing import Callable, Optional
 
 import diffusers
@@ -12,6 +13,11 @@ import torch
 from compel.cross_attention_control import Arguments
 from diffusers.models.unet_2d_condition import UNet2DConditionModel
 from diffusers.models.attention_processor import AttentionProcessor
+from diffusers.models.attention_processor import (
+    Attention,
+    AttnProcessor,
+    SlicedAttnProcessor,
+)
 from torch import nn
 
 import invokeai.backend.util.logging as logger
@@ -522,14 +528,6 @@ class AttnProcessor:
         return hidden_states
 
 """
-from dataclasses import dataclass, field
-
-import torch
-from diffusers.models.attention_processor import (
-    Attention,
-    AttnProcessor,
-    SlicedAttnProcessor,
-)
 
 
 @dataclass
diff --git a/invokeai/backend/stable_diffusion/diffusion/cross_attention_map_saving.py b/invokeai/backend/stable_diffusion/diffusion/cross_attention_map_saving.py
index b0174a455e..abef979b1c 100644
--- a/invokeai/backend/stable_diffusion/diffusion/cross_attention_map_saving.py
+++ b/invokeai/backend/stable_diffusion/diffusion/cross_attention_map_saving.py
@@ -5,8 +5,6 @@ import torch
 from torchvision.transforms.functional import InterpolationMode
 from torchvision.transforms.functional import resize as tv_resize
 
-from .cross_attention_control import CrossAttentionType, get_cross_attention_modules
-
 
 class AttentionMapSaver:
     def __init__(self, token_ids: range, latents_shape: torch.Size):
diff --git a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
index f16855e775..f05adafca2 100644
--- a/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
+++ b/invokeai/backend/stable_diffusion/diffusion/shared_invokeai_diffusion.py
@@ -3,15 +3,12 @@ from __future__ import annotations
 from contextlib import contextmanager
 from dataclasses import dataclass
 import math
-from typing import Any, Callable, Dict, Optional, Union, List
+from typing import Any, Callable, Optional, Union
 
-import numpy as np
 import torch
 from diffusers import UNet2DConditionModel
-from diffusers.models.attention_processor import AttentionProcessor
 from typing_extensions import TypeAlias
 
-import invokeai.backend.util.logging as logger
 from invokeai.app.services.config import InvokeAIAppConfig
 
 from .cross_attention_control import (
@@ -579,7 +576,7 @@ class InvokeAIDiffuserComponent:
         latents.to(device="cpu")
 
         if (
-            h_symmetry_time_pct != None
+            h_symmetry_time_pct is not None
             and self.last_percent_through < h_symmetry_time_pct
             and percent_through >= h_symmetry_time_pct
         ):
@@ -595,7 +592,7 @@ class InvokeAIDiffuserComponent:
             )
 
         if (
-            v_symmetry_time_pct != None
+            v_symmetry_time_pct is not None
             and self.last_percent_through < v_symmetry_time_pct
             and percent_through >= v_symmetry_time_pct
         ):
diff --git a/invokeai/backend/stable_diffusion/image_degradation/__init__.py b/invokeai/backend/stable_diffusion/image_degradation/__init__.py
index c6b3b62ea8..589e266c02 100644
--- a/invokeai/backend/stable_diffusion/image_degradation/__init__.py
+++ b/invokeai/backend/stable_diffusion/image_degradation/__init__.py
@@ -1,6 +1,6 @@
-from ldm.modules.image_degradation.bsrgan import (
+from ldm.modules.image_degradation.bsrgan import (  # noqa: F401
     degradation_bsrgan_variant as degradation_fn_bsr,
 )
-from ldm.modules.image_degradation.bsrgan_light import (
+from ldm.modules.image_degradation.bsrgan_light import (  # noqa: F401
     degradation_bsrgan_variant as degradation_fn_bsr_light,
 )
diff --git a/invokeai/backend/stable_diffusion/image_degradation/bsrgan.py b/invokeai/backend/stable_diffusion/image_degradation/bsrgan.py
index 493c8be781..e4d614207b 100644
--- a/invokeai/backend/stable_diffusion/image_degradation/bsrgan.py
+++ b/invokeai/backend/stable_diffusion/image_degradation/bsrgan.py
@@ -573,14 +573,15 @@ def degradation_bsrgan_variant(image, sf=4, isp_model=None):
     hq: corresponding high-quality patch, size: (lq_patchsizexsf)X(lq_patchsizexsf)XC, range: [0, 1]
     """
     image = util.uint2single(image)
-    isp_prob, jpeg_prob, scale2_prob = 0.25, 0.9, 0.25
-    sf_ori = sf
+    jpeg_prob, scale2_prob = 0.9, 0.25
+    # isp_prob = 0.25  # uncomment with `if i== 6` block below
+    # sf_ori = sf  # uncomment with `if i== 6` block below
 
     h1, w1 = image.shape[:2]
     image = image.copy()[: w1 - w1 % sf, : h1 - h1 % sf, ...]  # mod crop
     h, w = image.shape[:2]
 
-    hq = image.copy()
+    # hq = image.copy()  # uncomment with `if i== 6` block below
 
     if sf == 4 and random.random() < scale2_prob:  # downsample1
         if np.random.rand() < 0.5:
@@ -777,7 +778,7 @@ if __name__ == "__main__":
         img_lq_bicubic = albumentations.SmallestMaxSize(max_size=h, interpolation=cv2.INTER_CUBIC)(image=img)["image"]
         print(img_lq.shape)
         print("bicubic", img_lq_bicubic.shape)
-        print(img_hq.shape)
+        # print(img_hq.shape)
         lq_nearest = cv2.resize(
             util.single2uint(img_lq),
             (int(sf * img_lq.shape[1]), int(sf * img_lq.shape[0])),
@@ -788,5 +789,6 @@ if __name__ == "__main__":
             (int(sf * img_lq.shape[1]), int(sf * img_lq.shape[0])),
             interpolation=0,
         )
-        img_concat = np.concatenate([lq_bicubic_nearest, lq_nearest, util.single2uint(img_hq)], axis=1)
+        # img_concat = np.concatenate([lq_bicubic_nearest, lq_nearest, util.single2uint(img_hq)], axis=1)
+        img_concat = np.concatenate([lq_bicubic_nearest, lq_nearest], axis=1)
         util.imsave(img_concat, str(i) + ".png")
diff --git a/invokeai/backend/stable_diffusion/image_degradation/bsrgan_light.py b/invokeai/backend/stable_diffusion/image_degradation/bsrgan_light.py
index d0e0abadbc..cd74adc519 100644
--- a/invokeai/backend/stable_diffusion/image_degradation/bsrgan_light.py
+++ b/invokeai/backend/stable_diffusion/image_degradation/bsrgan_light.py
@@ -577,14 +577,15 @@ def degradation_bsrgan_variant(image, sf=4, isp_model=None):
     hq: corresponding high-quality patch, size: (lq_patchsizexsf)X(lq_patchsizexsf)XC, range: [0, 1]
     """
     image = util.uint2single(image)
-    isp_prob, jpeg_prob, scale2_prob = 0.25, 0.9, 0.25
-    sf_ori = sf
+    jpeg_prob, scale2_prob = 0.9, 0.25
+    # isp_prob = 0.25  # uncomment with `if i== 6` block below
+    # sf_ori = sf  # uncomment with `if i== 6` block below
 
     h1, w1 = image.shape[:2]
     image = image.copy()[: w1 - w1 % sf, : h1 - h1 % sf, ...]  # mod crop
     h, w = image.shape[:2]
 
-    hq = image.copy()
+    # hq = image.copy()  # uncomment with `if i== 6` block below
 
     if sf == 4 and random.random() < scale2_prob:  # downsample1
         if np.random.rand() < 0.5:
diff --git a/invokeai/backend/stable_diffusion/image_degradation/utils_image.py b/invokeai/backend/stable_diffusion/image_degradation/utils_image.py
index fb71f85e5a..2a0773c3ed 100644
--- a/invokeai/backend/stable_diffusion/image_degradation/utils_image.py
+++ b/invokeai/backend/stable_diffusion/image_degradation/utils_image.py
@@ -8,8 +8,6 @@ import numpy as np
 import torch
 from torchvision.utils import make_grid
 
-# import matplotlib.pyplot as plt   # TODO: check with Dominik, also bsrgan.py vs bsrgan_light.py
-
 import invokeai.backend.util.logging as logger
 
 os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
@@ -50,6 +48,8 @@ def get_timestamp():
 
 
 def imshow(x, title=None, cbar=False, figsize=None):
+    import matplotlib.pyplot as plt
+
     plt.figure(figsize=figsize)
     plt.imshow(np.squeeze(x), interpolation="nearest", cmap="gray")
     if title:
@@ -60,6 +60,8 @@ def imshow(x, title=None, cbar=False, figsize=None):
 
 
 def surf(Z, cmap="rainbow", figsize=None):
+    import matplotlib.pyplot as plt
+
     plt.figure(figsize=figsize)
     ax3 = plt.axes(projection="3d")
 
diff --git a/invokeai/backend/stable_diffusion/schedulers/__init__.py b/invokeai/backend/stable_diffusion/schedulers/__init__.py
index 29a96eb3a5..a4e9dbf9da 100644
--- a/invokeai/backend/stable_diffusion/schedulers/__init__.py
+++ b/invokeai/backend/stable_diffusion/schedulers/__init__.py
@@ -1 +1 @@
-from .schedulers import SCHEDULER_MAP
+from .schedulers import SCHEDULER_MAP  # noqa: F401
diff --git a/invokeai/backend/training/__init__.py b/invokeai/backend/training/__init__.py
index a85842dc72..ed3ceb90ec 100644
--- a/invokeai/backend/training/__init__.py
+++ b/invokeai/backend/training/__init__.py
@@ -1,4 +1,4 @@
 """
 Initialization file for invokeai.backend.training
 """
-from .textual_inversion_training import do_textual_inversion_training, parse_args
+from .textual_inversion_training import do_textual_inversion_training, parse_args  # noqa: F401
diff --git a/invokeai/backend/util/__init__.py b/invokeai/backend/util/__init__.py
index 2e69af5382..30bb0efc15 100644
--- a/invokeai/backend/util/__init__.py
+++ b/invokeai/backend/util/__init__.py
@@ -1,7 +1,7 @@
 """
 Initialization file for invokeai.backend.util
 """
-from .devices import (
+from .devices import (  # noqa: F401
     CPU_DEVICE,
     CUDA_DEVICE,
     MPS_DEVICE,
@@ -10,5 +10,5 @@ from .devices import (
     normalize_device,
     torch_dtype,
 )
-from .log import write_log
-from .util import ask_user, download_with_resume, instantiate_from_config, url_attachment_name, Chdir
+from .log import write_log  # noqa: F401
+from .util import ask_user, download_with_resume, instantiate_from_config, url_attachment_name, Chdir  # noqa: F401
diff --git a/invokeai/backend/util/hotfixes.py b/invokeai/backend/util/hotfixes.py
index 89b3da5a37..3d7f278f86 100644
--- a/invokeai/backend/util/hotfixes.py
+++ b/invokeai/backend/util/hotfixes.py
@@ -25,10 +25,15 @@ from diffusers.models.unet_2d_condition import UNet2DConditionModel
 import diffusers
 from diffusers.models.controlnet import ControlNetConditioningEmbedding, ControlNetOutput, zero_module
 
+from invokeai.backend.util.logging import InvokeAILogger
+
 # TODO: create PR to diffusers
 # Modified ControlNetModel with encoder_attention_mask argument added
 
 
+logger = InvokeAILogger.getLogger(__name__)
+
+
 class ControlNetModel(ModelMixin, ConfigMixin, FromOriginalControlnetMixin):
     """
     A ControlNet model.
@@ -111,7 +116,7 @@ class ControlNetModel(ModelMixin, ConfigMixin, FromOriginalControlnetMixin):
             "DownBlock2D",
         ),
         only_cross_attention: Union[bool, Tuple[bool]] = False,
-        block_out_channels: Tuple[int] = (320, 640, 1280, 1280),
+        block_out_channels: Tuple[int, ...] = (320, 640, 1280, 1280),
         layers_per_block: int = 2,
         downsample_padding: int = 1,
         mid_block_scale_factor: float = 1,
diff --git a/invokeai/backend/util/log.py b/invokeai/backend/util/log.py
index 4643f61a6b..3919d456b9 100644
--- a/invokeai/backend/util/log.py
+++ b/invokeai/backend/util/log.py
@@ -27,8 +27,8 @@ def write_log_message(results, output_cntr):
     log_lines = [f"{path}: {prompt}\n" for path, prompt in results]
     if len(log_lines) > 1:
         subcntr = 1
-        for l in log_lines:
-            print(f"[{output_cntr}.{subcntr}] {l}", end="")
+        for ll in log_lines:
+            print(f"[{output_cntr}.{subcntr}] {ll}", end="")
             subcntr += 1
     else:
         print(f"[{output_cntr}] {log_lines[0]}", end="")
diff --git a/invokeai/backend/util/logging.py b/invokeai/backend/util/logging.py
index 3a8d721aa5..82706d8181 100644
--- a/invokeai/backend/util/logging.py
+++ b/invokeai/backend/util/logging.py
@@ -182,13 +182,13 @@ import urllib.parse
 from abc import abstractmethod
 from pathlib import Path
 
-from invokeai.app.services.config import InvokeAIAppConfig, get_invokeai_config
+from invokeai.app.services.config import InvokeAIAppConfig
 
 try:
     import syslog
 
     SYSLOG_AVAILABLE = True
-except:
+except ImportError:
     SYSLOG_AVAILABLE = False
 
 
@@ -417,7 +417,7 @@ class InvokeAILogger(object):
                     syslog_args["socktype"] = _SOCK_MAP[arg_value[0]]
                 else:
                     syslog_args["address"] = arg_name
-        except:
+        except Exception:
             raise ValueError(f"{args} is not a value argument list for syslog logging")
         return logging.handlers.SysLogHandler(**syslog_args)
 
diff --git a/invokeai/backend/util/mps_fixes.py b/invokeai/backend/util/mps_fixes.py
index 409eff1c8b..8a4e6baab5 100644
--- a/invokeai/backend/util/mps_fixes.py
+++ b/invokeai/backend/util/mps_fixes.py
@@ -191,7 +191,7 @@ class ChunkedSlicedAttnProcessor:
         assert value.shape[0] == 1
         assert hidden_states.shape[0] == 1
 
-        dtype = query.dtype
+        # dtype = query.dtype
         if attn.upcast_attention:
             query = query.float()
             key = key.float()
diff --git a/invokeai/backend/util/util.py b/invokeai/backend/util/util.py
index f3c182c063..7ef9c72fb0 100644
--- a/invokeai/backend/util/util.py
+++ b/invokeai/backend/util/util.py
@@ -84,7 +84,7 @@ def count_params(model, verbose=False):
 
 
 def instantiate_from_config(config, **kwargs):
-    if not "target" in config:
+    if "target" not in config:
         if config == "__is_first_stage__":
             return None
         elif config == "__is_unconditional__":
@@ -234,16 +234,17 @@ def rand_perlin_2d(shape, res, device, fade=lambda t: 6 * t**5 - 15 * t**4 + 10
         .repeat_interleave(d[1], 1)
     )
 
-    dot = lambda grad, shift: (
-        torch.stack(
-            (
-                grid[: shape[0], : shape[1], 0] + shift[0],
-                grid[: shape[0], : shape[1], 1] + shift[1],
-            ),
-            dim=-1,
-        )
-        * grad[: shape[0], : shape[1]]
-    ).sum(dim=-1)
+    def dot(grad, shift):
+        return (
+            torch.stack(
+                (
+                    grid[: shape[0], : shape[1], 0] + shift[0],
+                    grid[: shape[0], : shape[1], 1] + shift[1],
+                ),
+                dim=-1,
+            )
+            * grad[: shape[0], : shape[1]]
+        ).sum(dim=-1)
 
     n00 = dot(tile_grads([0, -1], [0, -1]), [0, 0]).to(device)
     n10 = dot(tile_grads([1, None], [0, -1]), [-1, 0]).to(device)
@@ -287,7 +288,7 @@ def download_with_resume(url: str, dest: Path, access_token: str = None) -> Path
     if dest.is_dir():
         try:
             file_name = re.search('filename="(.+)"', resp.headers.get("Content-Disposition")).group(1)
-        except:
+        except AttributeError:
             file_name = os.path.basename(url)
         dest = dest / file_name
     else:
@@ -342,7 +343,7 @@ def url_attachment_name(url: str) -> dict:
         resp = requests.get(url, stream=True)
         match = re.search('filename="(.+)"', resp.headers.get("Content-Disposition"))
         return match.group(1)
-    except:
+    except Exception:
         return None
 
 
diff --git a/invokeai/frontend/CLI/__init__.py b/invokeai/frontend/CLI/__init__.py
index 7e48534cb9..f8864bbe66 100644
--- a/invokeai/frontend/CLI/__init__.py
+++ b/invokeai/frontend/CLI/__init__.py
@@ -1,4 +1,4 @@
 """
 Initialization file for invokeai.frontend.CLI
 """
-from .CLI import main as invokeai_command_line_interface
+from .CLI import main as invokeai_command_line_interface  # noqa: F401
diff --git a/invokeai/frontend/install/invokeai_configure.py b/invokeai/frontend/install/invokeai_configure.py
index 157d57fafc..d200d78555 100644
--- a/invokeai/frontend/install/invokeai_configure.py
+++ b/invokeai/frontend/install/invokeai_configure.py
@@ -1,4 +1,4 @@
 """
 Wrapper for invokeai.backend.configure.invokeai_configure
 """
-from ...backend.install.invokeai_configure import main as invokeai_configure
+from ...backend.install.invokeai_configure import main as invokeai_configure  # noqa: F401
diff --git a/invokeai/frontend/install/invokeai_update.py b/invokeai/frontend/install/invokeai_update.py
index 3fe6ff1574..3fe9bb6f97 100644
--- a/invokeai/frontend/install/invokeai_update.py
+++ b/invokeai/frontend/install/invokeai_update.py
@@ -80,7 +80,7 @@ def welcome(versions: dict):
 def get_extras():
     extras = ""
     try:
-        dist = pkg_resources.get_distribution("xformers")
+        _ = pkg_resources.get_distribution("xformers")
         extras = "[xformers]"
     except pkg_resources.DistributionNotFound:
         pass
@@ -90,7 +90,7 @@ def get_extras():
 def main():
     versions = get_versions()
     if invokeai_is_running():
-        print(f":exclamation: [bold red]Please terminate all running instances of InvokeAI before updating.[/red bold]")
+        print(":exclamation: [bold red]Please terminate all running instances of InvokeAI before updating.[/red bold]")
         input("Press any key to continue...")
         return
 
@@ -122,9 +122,9 @@ def main():
     print("")
     print("")
     if os.system(cmd) == 0:
-        print(f":heavy_check_mark: Upgrade successful")
+        print(":heavy_check_mark: Upgrade successful")
     else:
-        print(f":exclamation: [bold red]Upgrade failed[/red bold]")
+        print(":exclamation: [bold red]Upgrade failed[/red bold]")
 
 
 if __name__ == "__main__":
diff --git a/invokeai/frontend/install/model_install.py b/invokeai/frontend/install/model_install.py
index ade3043d96..6e4440abef 100644
--- a/invokeai/frontend/install/model_install.py
+++ b/invokeai/frontend/install/model_install.py
@@ -251,7 +251,7 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
     ) -> dict[str, npyscreen.widget]:
         """Generic code to create model selection widgets"""
         widgets = dict()
-        model_list = [x for x in self.all_models if self.all_models[x].model_type == model_type and not x in exclude]
+        model_list = [x for x in self.all_models if self.all_models[x].model_type == model_type and x not in exclude]
         model_labels = [self.model_labels[x] for x in model_list]
 
         show_recommended = len(self.installed_models) == 0
@@ -357,14 +357,14 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
                 try:
                     v.hidden = True
                     v.editable = False
-                except:
+                except Exception:
                     pass
         for k, v in widgets[selected_tab].items():
             try:
                 v.hidden = False
                 if not isinstance(v, (npyscreen.FixedText, npyscreen.TitleFixedText, CenteredTitleText)):
                     v.editable = True
-            except:
+            except Exception:
                 pass
         self.__class__.current_tab = selected_tab  # for persistence
         self.display()
@@ -541,7 +541,7 @@ class addModelsForm(CyclingForm, npyscreen.FormMultiPage):
             self.ti_models,
         ]
         for section in ui_sections:
-            if not "models_selected" in section:
+            if "models_selected" not in section:
                 continue
             selected = set([section["models"][x] for x in section["models_selected"].value])
             models_to_install = [x for x in selected if not self.all_models[x].installed]
@@ -637,7 +637,7 @@ def _ask_user_for_pt_tui(model_path: Path, tui_conn: Connection) -> SchedulerPre
             return None
         else:
             return response
-    except:
+    except Exception:
         return None
 
 
@@ -673,8 +673,7 @@ def process_and_execute(
 def select_and_download_models(opt: Namespace):
     precision = "float32" if opt.full_precision else choose_precision(torch.device(choose_torch_device()))
     config.precision = precision
-    helper = lambda x: ask_user_for_prediction_type(x)
-    installer = ModelInstall(config, prediction_type_helper=helper)
+    installer = ModelInstall(config, prediction_type_helper=ask_user_for_prediction_type)
     if opt.list_models:
         installer.list_models(opt.list_models)
     elif opt.add or opt.delete:
diff --git a/invokeai/frontend/install/widgets.py b/invokeai/frontend/install/widgets.py
index 156503f0b8..79b6280990 100644
--- a/invokeai/frontend/install/widgets.py
+++ b/invokeai/frontend/install/widgets.py
@@ -102,8 +102,8 @@ def set_min_terminal_size(min_cols: int, min_lines: int) -> bool:
 class IntSlider(npyscreen.Slider):
     def translate_value(self):
         stri = "%2d / %2d" % (self.value, self.out_of)
-        l = (len(str(self.out_of))) * 2 + 4
-        stri = stri.rjust(l)
+        length = (len(str(self.out_of))) * 2 + 4
+        stri = stri.rjust(length)
         return stri
 
 
@@ -167,8 +167,8 @@ class FloatSlider(npyscreen.Slider):
     # this is supposed to adjust display precision, but doesn't
     def translate_value(self):
         stri = "%3.2f / %3.2f" % (self.value, self.out_of)
-        l = (len(str(self.out_of))) * 2 + 4
-        stri = stri.rjust(l)
+        length = (len(str(self.out_of))) * 2 + 4
+        stri = stri.rjust(length)
         return stri
 
 
diff --git a/invokeai/frontend/legacy_launch_invokeai.py b/invokeai/frontend/legacy_launch_invokeai.py
index e4509db6e5..e1e7dc26ab 100644
--- a/invokeai/frontend/legacy_launch_invokeai.py
+++ b/invokeai/frontend/legacy_launch_invokeai.py
@@ -1,4 +1,3 @@
-import os
 import sys
 import argparse
 
diff --git a/invokeai/frontend/merge/__init__.py b/invokeai/frontend/merge/__init__.py
index 3a2e4474a5..a18da9c0d4 100644
--- a/invokeai/frontend/merge/__init__.py
+++ b/invokeai/frontend/merge/__init__.py
@@ -1,4 +1,4 @@
 """
 Initialization file for invokeai.frontend.merge
 """
-from .merge_diffusers import main as invokeai_merge_diffusers
+from .merge_diffusers import main as invokeai_merge_diffusers  # noqa: F401
diff --git a/invokeai/frontend/merge/merge_diffusers.py b/invokeai/frontend/merge/merge_diffusers.py
index f2e211a1b4..ada8eed644 100644
--- a/invokeai/frontend/merge/merge_diffusers.py
+++ b/invokeai/frontend/merge/merge_diffusers.py
@@ -9,19 +9,15 @@ import curses
 import sys
 from argparse import Namespace
 from pathlib import Path
-from typing import List, Union
+from typing import List, Optional
 
 import npyscreen
-from diffusers import DiffusionPipeline
-from diffusers import logging as dlogging
 from npyscreen import widget
-from omegaconf import OmegaConf
 
 import invokeai.backend.util.logging as logger
 from invokeai.app.services.config import InvokeAIAppConfig
 from invokeai.backend.model_management import (
     ModelMerger,
-    MergeInterpolationMethod,
     ModelManager,
     ModelType,
     BaseModelType,
@@ -318,7 +314,7 @@ class mergeModelsForm(npyscreen.FormMultiPageAction):
         else:
             return True
 
-    def get_model_names(self, base_model: BaseModelType = None) -> List[str]:
+    def get_model_names(self, base_model: Optional[BaseModelType] = None) -> List[str]:
         model_names = [
             info["model_name"]
             for info in self.model_manager.list_models(model_type=ModelType.Main, base_model=base_model)
diff --git a/invokeai/frontend/training/__init__.py b/invokeai/frontend/training/__init__.py
index db5d69fc7a..d4eff2f7fd 100644
--- a/invokeai/frontend/training/__init__.py
+++ b/invokeai/frontend/training/__init__.py
@@ -1,4 +1,4 @@
 """
 Initialization file for invokeai.frontend.training
 """
-from .textual_inversion import main as invokeai_textual_inversion
+from .textual_inversion import main as invokeai_textual_inversion  # noqa: F401
diff --git a/invokeai/frontend/training/textual_inversion.py b/invokeai/frontend/training/textual_inversion.py
index 25debf4bdc..12f4db8e7b 100755
--- a/invokeai/frontend/training/textual_inversion.py
+++ b/invokeai/frontend/training/textual_inversion.py
@@ -59,7 +59,7 @@ class textualInversionForm(npyscreen.FormMultiPageAction):
 
         try:
             default = self.model_names.index(saved_args["model"])
-        except:
+        except Exception:
             pass
 
         self.add_widget_intelligent(
@@ -377,7 +377,7 @@ def previous_args() -> dict:
     try:
         conf = OmegaConf.load(conf_file)
         conf["placeholder_token"] = conf["placeholder_token"].strip("<>")
-    except:
+    except Exception:
         conf = None
 
     return conf
diff --git a/invokeai/version/__init__.py b/invokeai/version/__init__.py
index 21dfcad3ca..90cca7c27f 100644
--- a/invokeai/version/__init__.py
+++ b/invokeai/version/__init__.py
@@ -1,7 +1,7 @@
 """
 initialization file for invokeai
 """
-from .invokeai_version import __version__
+from .invokeai_version import __version__  # noqa: F401
 
 __app_id__ = "invoke-ai/InvokeAI"
 __app_name__ = "InvokeAI"
diff --git a/notebooks/notebook_helpers.py b/notebooks/notebook_helpers.py
index b87f18ba18..488b3660f8 100644
--- a/notebooks/notebook_helpers.py
+++ b/notebooks/notebook_helpers.py
@@ -8,9 +8,8 @@ from google.colab import files
 from IPython.display import Image as ipyimg
 import ipywidgets as widgets
 from PIL import Image
-from numpy import asarray
 from einops import rearrange, repeat
-import torch, torchvision
+import torchvision
 from ldm.models.diffusion.ddim import DDIMSampler
 from ldm.util import ismap
 import time
@@ -68,14 +67,14 @@ def get_custom_cond(mode):
 
     elif mode == "text_conditional":
         w = widgets.Text(value="A cake with cream!", disabled=True)
-        display(w)
+        display(w)  # noqa: F821
 
         with open(f"{dest}/{mode}/custom_{w.value[:20]}.txt", "w") as f:
             f.write(w.value)
 
     elif mode == "class_conditional":
         w = widgets.IntSlider(min=0, max=1000)
-        display(w)
+        display(w)  # noqa: F821
         with open(f"{dest}/{mode}/custom.txt", "w") as f:
             f.write(w.value)
 
@@ -96,7 +95,7 @@ def select_cond_path(mode):
     onlyfiles = [f for f in sorted(os.listdir(path))]
 
     selected = widgets.RadioButtons(options=onlyfiles, description="Select conditioning:", disabled=False)
-    display(selected)
+    display(selected)  # noqa: F821
     selected_path = os.path.join(path, selected.value)
     return selected_path
 
@@ -123,7 +122,7 @@ def get_cond(mode, selected_path):
 
 
 def visualize_cond_img(path):
-    display(ipyimg(filename=path))
+    display(ipyimg(filename=path))  # noqa: F821
 
 
 def run(model, selected_path, task, custom_steps, resize_enabled=False, classifier_ckpt=None, global_step=None):
@@ -331,7 +330,7 @@ def make_convolutional_sample(
         x_sample_noquant = model.decode_first_stage(sample, force_not_quantize=True)
         log["sample_noquant"] = x_sample_noquant
         log["sample_diff"] = torch.abs(x_sample_noquant - x_sample)
-    except:
+    except Exception:
         pass
 
     log["sample"] = x_sample
diff --git a/pyproject.toml b/pyproject.toml
index e13ae607b9..980cf498b7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -95,7 +95,14 @@ dependencies = [
 "dev" = [
   "pudb",
 ]
-"test" = ["pytest>6.0.0", "pytest-cov", "pytest-datadir", "black"]
+"test" = [
+  "black",
+  "flake8",
+  "Flake8-pyproject",
+  "pytest>6.0.0",
+  "pytest-cov",
+  "pytest-datadir",
+]
 "xformers" = [
 	   "xformers~=0.0.19; sys_platform!='darwin'",
 	   "triton; sys_platform=='linux'",
@@ -185,6 +192,8 @@ output = "coverage/index.xml"
 
 [tool.flake8]
 max-line-length = 120
+ignore = ["E203", "E266", "E501", "W503"]
+select = ["B", "C", "E", "F", "W", "T4"]
 
 [tool.black]
 line-length = 120
diff --git a/scripts/create_checkpoint_template.py b/scripts/create_checkpoint_template.py
index 7ff201c841..4b9bfe0ea2 100755
--- a/scripts/create_checkpoint_template.py
+++ b/scripts/create_checkpoint_template.py
@@ -4,7 +4,6 @@ Read a checkpoint/safetensors file and write out a template .json file containin
 its metadata for use in fast model probing.
 """
 
-import sys
 import argparse
 import json
 
diff --git a/scripts/dream.py b/scripts/dream.py
index d2735046a4..47fec8c1c6 100755
--- a/scripts/dream.py
+++ b/scripts/dream.py
@@ -3,11 +3,12 @@
 
 import warnings
 
+from invokeai.app.cli_app import invoke_cli
+
 warnings.warn(
     "dream.py is being deprecated, please run invoke.py for the " "new UI/API or legacy_api.py for the old API",
     DeprecationWarning,
 )
 
-from invokeai.app.cli_app import invoke_cli
 
 invoke_cli()
diff --git a/scripts/images2prompt.py b/scripts/images2prompt.py
index 058fc0da40..fdfe52774b 100755
--- a/scripts/images2prompt.py
+++ b/scripts/images2prompt.py
@@ -2,7 +2,7 @@
 """This script reads the "Invoke" Stable Diffusion prompt embedded in files generated by invoke.py"""
 
 import sys
-from PIL import Image, PngImagePlugin
+from PIL import Image
 
 if len(sys.argv) < 2:
     print("Usage: file2prompt.py <file1.png> <file2.png> <file3.png>...")
diff --git a/scripts/invokeai-cli.py b/scripts/invokeai-cli.py
index b32a892261..58aca1b5f3 100755
--- a/scripts/invokeai-cli.py
+++ b/scripts/invokeai-cli.py
@@ -2,13 +2,11 @@
 
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
 
+import os
 import logging
 
 logging.getLogger("xformers").addFilter(lambda record: "A matching Triton is not available" not in record.getMessage())
 
-import os
-import sys
-
 
 def main():
     # Change working directory to the repo root
diff --git a/scripts/invokeai-web.py b/scripts/invokeai-web.py
index 829cc4b911..ebdf7cfa81 100755
--- a/scripts/invokeai-web.py
+++ b/scripts/invokeai-web.py
@@ -2,13 +2,11 @@
 
 # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
 
+import os
 import logging
 
 logging.getLogger("xformers").addFilter(lambda record: "A matching Triton is not available" not in record.getMessage())
 
-import os
-import sys
-
 
 def main():
     # Change working directory to the repo root
diff --git a/scripts/orig_scripts/img2img.py b/scripts/orig_scripts/img2img.py
index 2601bc2562..eb60a144c4 100644
--- a/scripts/orig_scripts/img2img.py
+++ b/scripts/orig_scripts/img2img.py
@@ -1,6 +1,7 @@
 """make variations of input image"""
 
-import argparse, os, sys, glob
+import argparse
+import os
 import PIL
 import torch
 import numpy as np
@@ -12,7 +13,6 @@ from einops import rearrange, repeat
 from torchvision.utils import make_grid
 from torch import autocast
 from contextlib import nullcontext
-import time
 from pytorch_lightning import seed_everything
 
 from ldm.util import instantiate_from_config
@@ -234,7 +234,6 @@ def main():
     with torch.no_grad():
         with precision_scope(device.type):
             with model.ema_scope():
-                tic = time.time()
                 all_samples = list()
                 for n in trange(opt.n_iter, desc="Sampling"):
                     for prompts in tqdm(data, desc="data"):
@@ -279,8 +278,6 @@ def main():
                     Image.fromarray(grid.astype(np.uint8)).save(os.path.join(outpath, f"grid-{grid_count:04}.png"))
                     grid_count += 1
 
-                toc = time.time()
-
     print(f"Your samples are ready and waiting for you here: \n{outpath} \n" f" \nEnjoy.")
 
 
diff --git a/scripts/orig_scripts/inpaint.py b/scripts/orig_scripts/inpaint.py
index 8dfbbfb045..9979360b12 100644
--- a/scripts/orig_scripts/inpaint.py
+++ b/scripts/orig_scripts/inpaint.py
@@ -1,4 +1,6 @@
-import argparse, os, sys, glob
+import argparse
+import glob
+import os
 from omegaconf import OmegaConf
 from PIL import Image
 from tqdm import tqdm
diff --git a/scripts/orig_scripts/knn2img.py b/scripts/orig_scripts/knn2img.py
index 845613479b..debdebdaa5 100644
--- a/scripts/orig_scripts/knn2img.py
+++ b/scripts/orig_scripts/knn2img.py
@@ -1,13 +1,13 @@
-import argparse, os, sys, glob
-import clip
+import argparse
+import glob
+import os
 import torch
-import torch.nn as nn
 import numpy as np
 from omegaconf import OmegaConf
 from PIL import Image
 from tqdm import tqdm, trange
 from itertools import islice
-from einops import rearrange, repeat
+from einops import rearrange
 from torchvision.utils import make_grid
 import scann
 import time
@@ -390,8 +390,8 @@ if __name__ == "__main__":
                     grid = make_grid(grid, nrow=n_rows)
 
                     # to image
-                    grid = 255.0 * rearrange(grid, "c h w -> h w c").cpu().numpy()
-                    Image.fromarray(grid.astype(np.uint8)).save(os.path.join(outpath, f"grid-{grid_count:04}.png"))
+                    grid_np = 255.0 * rearrange(grid, "c h w -> h w c").cpu().numpy()
+                    Image.fromarray(grid_np.astype(np.uint8)).save(os.path.join(outpath, f"grid-{grid_count:04}.png"))
                     grid_count += 1
 
     print(f"Your samples are ready and waiting for you here: \n{outpath} \nEnjoy.")
diff --git a/scripts/orig_scripts/main.py b/scripts/orig_scripts/main.py
index 8269809fbc..e61c5b4593 100644
--- a/scripts/orig_scripts/main.py
+++ b/scripts/orig_scripts/main.py
@@ -1,24 +1,24 @@
-import argparse, os, sys, datetime, glob, importlib, csv
+import argparse
+import datetime
+import glob
+import os
+import sys
+
 import numpy as np
 import time
 import torch
-
 import torchvision
 import pytorch_lightning as pl
 
 from packaging import version
 from omegaconf import OmegaConf
-from torch.utils.data import random_split, DataLoader, Dataset, Subset
+from torch.utils.data import DataLoader, Dataset
 from functools import partial
 from PIL import Image
 
 from pytorch_lightning import seed_everything
 from pytorch_lightning.trainer import Trainer
-from pytorch_lightning.callbacks import (
-    ModelCheckpoint,
-    Callback,
-    LearningRateMonitor,
-)
+from pytorch_lightning.callbacks import Callback
 from pytorch_lightning.utilities.distributed import rank_zero_only
 from pytorch_lightning.utilities import rank_zero_info
 
@@ -651,7 +651,7 @@ if __name__ == "__main__":
         trainer_config["accelerator"] = "auto"
         for k in nondefault_trainer_args(opt):
             trainer_config[k] = getattr(opt, k)
-        if not "gpus" in trainer_config:
+        if "gpus" not in trainer_config:
             del trainer_config["accelerator"]
             cpu = True
         else:
@@ -803,7 +803,7 @@ if __name__ == "__main__":
             trainer_opt.detect_anomaly = False
 
         trainer = Trainer.from_argparse_args(trainer_opt, **trainer_kwargs)
-        trainer.logdir = logdir  ###
+        trainer.logdir = logdir
 
         # data
         config.data.params.train.params.data_root = opt.data_root
diff --git a/scripts/orig_scripts/merge_embeddings.py b/scripts/orig_scripts/merge_embeddings.py
index c2cf1acb1a..f0a18cfae1 100755
--- a/scripts/orig_scripts/merge_embeddings.py
+++ b/scripts/orig_scripts/merge_embeddings.py
@@ -2,7 +2,7 @@ from ldm.modules.encoders.modules import FrozenCLIPEmbedder, BERTEmbedder
 from ldm.modules.embedding_manager import EmbeddingManager
 from ldm.invoke.globals import Globals
 
-import argparse, os
+import argparse
 from functools import partial
 
 import torch
@@ -108,7 +108,7 @@ if __name__ == "__main__":
         manager.load(manager_ckpt)
 
         for placeholder_string in manager.string_to_token_dict:
-            if not placeholder_string in string_to_token_dict:
+            if placeholder_string not in string_to_token_dict:
                 string_to_token_dict[placeholder_string] = manager.string_to_token_dict[placeholder_string]
                 string_to_param_dict[placeholder_string] = manager.string_to_param_dict[placeholder_string]
 
diff --git a/scripts/orig_scripts/sample_diffusion.py b/scripts/orig_scripts/sample_diffusion.py
index 9f08b6702a..76a9c1b5e6 100644
--- a/scripts/orig_scripts/sample_diffusion.py
+++ b/scripts/orig_scripts/sample_diffusion.py
@@ -1,6 +1,12 @@
-import argparse, os, sys, glob, datetime, yaml
-import torch
+import argparse
+import datetime
+import glob
+import os
+import sys
 import time
+import yaml
+
+import torch
 import numpy as np
 from tqdm import trange
 
@@ -10,7 +16,9 @@ from PIL import Image
 from ldm.models.diffusion.ddim import DDIMSampler
 from ldm.util import instantiate_from_config
 
-rescale = lambda x: (x + 1.0) / 2.0
+
+def rescale(x: float) -> float:
+    return (x + 1.0) / 2.0
 
 
 def custom_to_pil(x):
@@ -45,7 +53,7 @@ def logs2pil(logs, keys=["sample"]):
             else:
                 print(f"Unknown format for key {k}. ")
                 img = None
-        except:
+        except Exception:
             img = None
         imgs[k] = img
     return imgs
diff --git a/scripts/orig_scripts/train_searcher.py b/scripts/orig_scripts/train_searcher.py
index 7ba57f1165..5fd2962f59 100644
--- a/scripts/orig_scripts/train_searcher.py
+++ b/scripts/orig_scripts/train_searcher.py
@@ -1,4 +1,5 @@
-import os, sys
+import os
+import sys
 import numpy as np
 import scann
 import argparse
diff --git a/scripts/orig_scripts/txt2img.py b/scripts/orig_scripts/txt2img.py
index 58767c122d..9f5b94f0dd 100644
--- a/scripts/orig_scripts/txt2img.py
+++ b/scripts/orig_scripts/txt2img.py
@@ -1,4 +1,5 @@
-import argparse, os, sys, glob
+import argparse
+import os
 import torch
 import numpy as np
 from omegaconf import OmegaConf
@@ -7,10 +8,9 @@ from tqdm import tqdm, trange
 from itertools import islice
 from einops import rearrange
 from torchvision.utils import make_grid
-import time
 from pytorch_lightning import seed_everything
 from torch import autocast
-from contextlib import contextmanager, nullcontext
+from contextlib import nullcontext
 
 import k_diffusion as K
 import torch.nn as nn
@@ -251,7 +251,6 @@ def main():
     with torch.no_grad():
         with precision_scope(device.type):
             with model.ema_scope():
-                tic = time.time()
                 all_samples = list()
                 for n in trange(opt.n_iter, desc="Sampling"):
                     for prompts in tqdm(data, desc="data"):
@@ -310,8 +309,6 @@ def main():
                     Image.fromarray(grid.astype(np.uint8)).save(os.path.join(outpath, f"grid-{grid_count:04}.png"))
                     grid_count += 1
 
-                toc = time.time()
-
     print(f"Your samples are ready and waiting for you here: \n{outpath} \n" f" \nEnjoy.")
 
 
diff --git a/scripts/probe-model.py b/scripts/probe-model.py
index 4cf2c50263..9b4ee6e815 100755
--- a/scripts/probe-model.py
+++ b/scripts/probe-model.py
@@ -1,7 +1,6 @@
 #!/bin/env python
 
 import argparse
-import sys
 from pathlib import Path
 from invokeai.backend.model_management.model_probe import ModelProbe
 
diff --git a/tests/nodes/test_graph_execution_state.py b/tests/nodes/test_graph_execution_state.py
index 248bc6fee1..cc3cc0288b 100644
--- a/tests/nodes/test_graph_execution_state.py
+++ b/tests/nodes/test_graph_execution_state.py
@@ -90,17 +90,17 @@ def test_graph_state_executes_in_order(simple_graph, mock_services):
 
 def test_graph_is_complete(simple_graph, mock_services):
     g = GraphExecutionState(graph=simple_graph)
-    n1 = invoke_next(g, mock_services)
-    n2 = invoke_next(g, mock_services)
-    n3 = g.next()
+    _ = invoke_next(g, mock_services)
+    _ = invoke_next(g, mock_services)
+    _ = g.next()
 
     assert g.is_complete()
 
 
 def test_graph_is_not_complete(simple_graph, mock_services):
     g = GraphExecutionState(graph=simple_graph)
-    n1 = invoke_next(g, mock_services)
-    n2 = g.next()
+    _ = invoke_next(g, mock_services)
+    _ = g.next()
 
     assert not g.is_complete()
 
@@ -140,11 +140,11 @@ def test_graph_state_collects(mock_services):
     graph.add_edge(create_edge("3", "prompt", "4", "item"))
 
     g = GraphExecutionState(graph=graph)
-    n1 = invoke_next(g, mock_services)
-    n2 = invoke_next(g, mock_services)
-    n3 = invoke_next(g, mock_services)
-    n4 = invoke_next(g, mock_services)
-    n5 = invoke_next(g, mock_services)
+    _ = invoke_next(g, mock_services)
+    _ = invoke_next(g, mock_services)
+    _ = invoke_next(g, mock_services)
+    _ = invoke_next(g, mock_services)
+    _ = invoke_next(g, mock_services)
     n6 = invoke_next(g, mock_services)
 
     assert isinstance(n6[0], CollectInvocation)
@@ -195,10 +195,10 @@ def test_graph_executes_depth_first(mock_services):
     graph.add_edge(create_edge("prompt_iterated", "prompt", "prompt_successor", "prompt"))
 
     g = GraphExecutionState(graph=graph)
-    n1 = invoke_next(g, mock_services)
-    n2 = invoke_next(g, mock_services)
-    n3 = invoke_next(g, mock_services)
-    n4 = invoke_next(g, mock_services)
+    _ = invoke_next(g, mock_services)
+    _ = invoke_next(g, mock_services)
+    _ = invoke_next(g, mock_services)
+    _ = invoke_next(g, mock_services)
 
     # Because ordering is not guaranteed, we cannot compare results directly.
     # Instead, we must count the number of results.
@@ -211,17 +211,17 @@ def test_graph_executes_depth_first(mock_services):
     assert get_completed_count(g, "prompt_iterated") == 1
     assert get_completed_count(g, "prompt_successor") == 0
 
-    n5 = invoke_next(g, mock_services)
+    _ = invoke_next(g, mock_services)
 
     assert get_completed_count(g, "prompt_iterated") == 1
     assert get_completed_count(g, "prompt_successor") == 1
 
-    n6 = invoke_next(g, mock_services)
+    _ = invoke_next(g, mock_services)
 
     assert get_completed_count(g, "prompt_iterated") == 2
     assert get_completed_count(g, "prompt_successor") == 1
 
-    n7 = invoke_next(g, mock_services)
+    _ = invoke_next(g, mock_services)
 
     assert get_completed_count(g, "prompt_iterated") == 2
     assert get_completed_count(g, "prompt_successor") == 2
diff --git a/tests/nodes/test_node_graph.py b/tests/nodes/test_node_graph.py
index b16eef95c8..f03e23e1c2 100644
--- a/tests/nodes/test_node_graph.py
+++ b/tests/nodes/test_node_graph.py
@@ -17,7 +17,8 @@ from invokeai.app.services.graph import (
     IterateInvocation,
 )
 from invokeai.app.invocations.upscale import ESRGANInvocation
-from invokeai.app.invocations.image import *
+
+from invokeai.app.invocations.image import ShowImageInvocation
 from invokeai.app.invocations.math import AddInvocation, SubtractInvocation
 from invokeai.app.invocations.primitives import IntegerInvocation
 from invokeai.app.services.default_graphs import create_text_to_image
@@ -41,7 +42,7 @@ def test_connections_are_compatible():
 
     result = are_connections_compatible(from_node, from_field, to_node, to_field)
 
-    assert result == True
+    assert result is True
 
 
 def test_connections_are_incompatible():
@@ -52,7 +53,7 @@ def test_connections_are_incompatible():
 
     result = are_connections_compatible(from_node, from_field, to_node, to_field)
 
-    assert result == False
+    assert result is False
 
 
 def test_connections_incompatible_with_invalid_fields():
@@ -63,14 +64,14 @@ def test_connections_incompatible_with_invalid_fields():
 
     # From field is invalid
     result = are_connections_compatible(from_node, from_field, to_node, to_field)
-    assert result == False
+    assert result is False
 
     # To field is invalid
     from_field = "image"
     to_field = "invalid_field"
 
     result = are_connections_compatible(from_node, from_field, to_node, to_field)
-    assert result == False
+    assert result is False
 
 
 def test_graph_can_add_node():
@@ -394,7 +395,7 @@ def test_graph_validates():
     e1 = create_edge("1", "image", "2", "image")
     g.add_edge(e1)
 
-    assert g.is_valid() == True
+    assert g.is_valid() is True
 
 
 def test_graph_invalid_if_edges_reference_missing_nodes():
@@ -404,7 +405,7 @@ def test_graph_invalid_if_edges_reference_missing_nodes():
     e1 = create_edge("1", "image", "2", "image")
     g.edges.append(e1)
 
-    assert g.is_valid() == False
+    assert g.is_valid() is False
 
 
 def test_graph_invalid_if_subgraph_invalid():
@@ -419,7 +420,7 @@ def test_graph_invalid_if_subgraph_invalid():
 
     g.nodes[n1.id] = n1
 
-    assert g.is_valid() == False
+    assert g.is_valid() is False
 
 
 def test_graph_invalid_if_has_cycle():
@@ -433,7 +434,7 @@ def test_graph_invalid_if_has_cycle():
     g.edges.append(e1)
     g.edges.append(e2)
 
-    assert g.is_valid() == False
+    assert g.is_valid() is False
 
 
 def test_graph_invalid_with_invalid_connection():
@@ -445,7 +446,7 @@ def test_graph_invalid_with_invalid_connection():
     e1 = create_edge("1", "image", "2", "strength")
     g.edges.append(e1)
 
-    assert g.is_valid() == False
+    assert g.is_valid() is False
 
 
 # TODO: Subgraph operations
@@ -536,7 +537,7 @@ def test_graph_fails_to_get_missing_subgraph_node():
     g.add_node(n1)
 
     with pytest.raises(NodeNotFoundError):
-        result = g.get_node("1.2")
+        _ = g.get_node("1.2")
 
 
 def test_graph_fails_to_enumerate_non_subgraph_node():
@@ -554,7 +555,7 @@ def test_graph_fails_to_enumerate_non_subgraph_node():
     g.add_node(n2)
 
     with pytest.raises(NodeNotFoundError):
-        result = g.get_node("2.1")
+        _ = g.get_node("2.1")
 
 
 def test_graph_gets_networkx_graph():
@@ -584,7 +585,7 @@ def test_graph_can_serialize():
     g.add_edge(e)
 
     # Not throwing on this line is sufficient
-    json = g.json()
+    _ = g.json()
 
 
 def test_graph_can_deserialize():
@@ -612,4 +613,4 @@ def test_graph_can_deserialize():
 def test_graph_can_generate_schema():
     # Not throwing on this line is sufficient
     # NOTE: if this test fails, it's PROBABLY because a new invocation type is breaking schema generation
-    schema = Graph.schema_json(indent=2)
+    _ = Graph.schema_json(indent=2)
diff --git a/tests/nodes/test_nodes.py b/tests/nodes/test_nodes.py
index 13338e9261..f43ad91026 100644
--- a/tests/nodes/test_nodes.py
+++ b/tests/nodes/test_nodes.py
@@ -1,9 +1,10 @@
 from typing import Any, Callable, Literal, Union
+
+from pydantic import Field
 from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationContext
 from invokeai.app.invocations.image import ImageField
-from invokeai.app.services.invocation_services import InvocationServices
-from pydantic import Field
-import pytest
+from invokeai.app.services.events import EventServiceBase
+from invokeai.app.services.graph import Edge, EdgeConnection
 
 
 # Define test invocations before importing anything that uses invocations
@@ -82,10 +83,6 @@ class PromptCollectionTestInvocation(BaseInvocation):
         return PromptCollectionTestInvocationOutput(collection=self.collection.copy())
 
 
-from invokeai.app.services.events import EventServiceBase
-from invokeai.app.services.graph import Edge, EdgeConnection
-
-
 def create_edge(from_id: str, from_field: str, to_id: str, to_field: str) -> Edge:
     return Edge(
         source=EdgeConnection(node_id=from_id, field=from_field),
diff --git a/tests/test_config.py b/tests/test_config.py
index 721edce487..0a8d44ad34 100644
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -1,13 +1,16 @@
 import os
-import pytest
-import sys
+from typing import Any
 
+import pytest
 from omegaconf import OmegaConf
 from pathlib import Path
 
-os.environ["INVOKEAI_ROOT"] = "/tmp"
 
-from invokeai.app.services.config import InvokeAIAppConfig
+@pytest.fixture
+def patch_rootdir(tmp_path: Path, monkeypatch: Any) -> None:
+    """This may be overkill since the current tests don't need the root dir to exist"""
+    monkeypatch.setenv("INVOKEAI_ROOT", str(tmp_path))
+
 
 init1 = OmegaConf.create(
     """
@@ -32,10 +35,12 @@ InvokeAI:
 )
 
 
-def test_use_init():
+def test_use_init(patch_rootdir):
     # note that we explicitly set omegaconf dict and argv here
     # so that the values aren't read from ~invokeai/invokeai.yaml and
     # sys.argv respectively.
+    from invokeai.app.services.config import InvokeAIAppConfig
+
     conf1 = InvokeAIAppConfig.get_config()
     assert conf1
     conf1.parse_args(conf=init1, argv=[])
@@ -51,7 +56,9 @@ def test_use_init():
     assert not hasattr(conf2, "invalid_attribute")
 
 
-def test_argv_override():
+def test_argv_override(patch_rootdir):
+    from invokeai.app.services.config import InvokeAIAppConfig
+
     conf = InvokeAIAppConfig.get_config()
     conf.parse_args(conf=init1, argv=["--always_use_cpu", "--max_cache=10"])
     assert conf.always_use_cpu
@@ -59,14 +66,16 @@ def test_argv_override():
     assert conf.outdir == Path("outputs")  # this is the default
 
 
-def test_env_override():
+def test_env_override(patch_rootdir):
+    from invokeai.app.services.config import InvokeAIAppConfig
+
     # argv overrides
     conf = InvokeAIAppConfig()
     conf.parse_args(conf=init1, argv=["--max_cache=10"])
-    assert conf.always_use_cpu == False
+    assert conf.always_use_cpu is False
     os.environ["INVOKEAI_always_use_cpu"] = "True"
     conf.parse_args(conf=init1, argv=["--max_cache=10"])
-    assert conf.always_use_cpu == True
+    assert conf.always_use_cpu is True
 
     # environment variables should be case insensitive
     os.environ["InvokeAI_Max_Cache_Size"] = "15"
@@ -76,7 +85,7 @@ def test_env_override():
 
     conf = InvokeAIAppConfig()
     conf.parse_args(conf=init1, argv=["--no-always_use_cpu", "--max_cache=10"])
-    assert conf.always_use_cpu == False
+    assert conf.always_use_cpu is False
     assert conf.max_cache_size == 10
 
     conf = InvokeAIAppConfig.get_config(max_cache_size=20)
@@ -84,7 +93,9 @@ def test_env_override():
     assert conf.max_cache_size == 20
 
 
-def test_root_resists_cwd():
+def test_root_resists_cwd(patch_rootdir):
+    from invokeai.app.services.config import InvokeAIAppConfig
+
     previous = os.environ["INVOKEAI_ROOT"]
     cwd = Path(os.getcwd()).resolve()
 
@@ -99,7 +110,9 @@ def test_root_resists_cwd():
     os.chdir(cwd)
 
 
-def test_type_coercion():
+def test_type_coercion(patch_rootdir):
+    from invokeai.app.services.config import InvokeAIAppConfig
+
     conf = InvokeAIAppConfig().get_config()
     conf.parse_args(argv=["--root=/tmp/foobar"])
     assert conf.root == Path("/tmp/foobar")

From 6cc629e19d525628879cec9663ccf3b8d2074aad Mon Sep 17 00:00:00 2001
From: Martin Kristiansen <lille.kemiker@gmail.com>
Date: Thu, 10 Aug 2023 23:32:31 -0400
Subject: [PATCH 283/287] Adding flake8 to GHA and pre-commit. Fixing missing
 flake8

---
 .github/workflows/style-checks.yml | 8 ++++----
 .pre-commit-config.yaml            | 7 +++++++
 2 files changed, 11 insertions(+), 4 deletions(-)

diff --git a/.github/workflows/style-checks.yml b/.github/workflows/style-checks.yml
index d29b489418..8a66d6490c 100644
--- a/.github/workflows/style-checks.yml
+++ b/.github/workflows/style-checks.yml
@@ -1,6 +1,6 @@
 name: style checks
-# just formatting for now
-# TODO: add isort and flake8 later
+# just formatting and flake8 for now
+# TODO: add isort later
 
 on:
   pull_request:
@@ -20,8 +20,8 @@ jobs:
 
       - name: Install dependencies with pip
         run: |
-          pip install black
+          pip install black flake8
 
       # - run: isort --check-only .
       - run: black --check .
-      # - run: flake8
+      - run: flake8
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 2b16b274d6..9ef8b79e77 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -8,3 +8,10 @@ repos:
     language: system
     entry: black
     types: [python]
+
+  - id: flake8
+    name: flake8
+    stages: [commit]
+    language: system
+    entry: flake8
+    types: [python]

From 4f1008f31ff6fd5935ac6ca8c6b8f545894afd57 Mon Sep 17 00:00:00 2001
From: Martin Kristiansen <lille.kemiker@gmail.com>
Date: Thu, 10 Aug 2023 23:45:37 -0400
Subject: [PATCH 284/287] Installing Flake8-pyproject in GHA workflow

---
 .github/workflows/style-checks.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/style-checks.yml b/.github/workflows/style-checks.yml
index 8a66d6490c..96e1df406b 100644
--- a/.github/workflows/style-checks.yml
+++ b/.github/workflows/style-checks.yml
@@ -20,7 +20,7 @@ jobs:
 
       - name: Install dependencies with pip
         run: |
-          pip install black flake8
+          pip install black flake8 Flake8-pyproject
 
       # - run: isort --check-only .
       - run: black --check .

From 33ee418d8c9da323d0f2e5e313dd923c1970f159 Mon Sep 17 00:00:00 2001
From: Martin Kristiansen <lille.kemiker@gmail.com>
Date: Thu, 17 Aug 2023 19:33:54 -0400
Subject: [PATCH 285/287] Fixing class level import

---
 invokeai/backend/model_management/lora.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/invokeai/backend/model_management/lora.py b/invokeai/backend/model_management/lora.py
index d665edf6ca..d0d8d4226c 100644
--- a/invokeai/backend/model_management/lora.py
+++ b/invokeai/backend/model_management/lora.py
@@ -307,7 +307,8 @@ class TextualInversionManager(BaseTextualInversionManager):
 
 
 class ONNXModelPatcher:
-    from .models.base import IAIOnnxRuntimeModel, OnnxRuntimeModel
+    from .models.base import IAIOnnxRuntimeModel
+    from diffusers import OnnxRuntimeModel
 
     @classmethod
     @contextmanager

From ce465acf04e3ae4651888e8d39f4fdb83b4c4d46 Mon Sep 17 00:00:00 2001
From: Martin Kristiansen <lille.kemiker@gmail.com>
Date: Thu, 17 Aug 2023 19:45:44 -0400
Subject: [PATCH 286/287] Fixed OnnxRuntimeModel import

---
 .../backend/model_management/models/stable_diffusion_onnx.py   | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/invokeai/backend/model_management/models/stable_diffusion_onnx.py b/invokeai/backend/model_management/models/stable_diffusion_onnx.py
index c678b27646..2780ba4728 100644
--- a/invokeai/backend/model_management/models/stable_diffusion_onnx.py
+++ b/invokeai/backend/model_management/models/stable_diffusion_onnx.py
@@ -1,5 +1,7 @@
 from enum import Enum
 from typing import Literal
+
+from diffusers import OnnxRuntimeModel
 from .base import (
     ModelConfigBase,
     BaseModelType,
@@ -8,7 +10,6 @@ from .base import (
     DiffusersModel,
     SchedulerPredictionType,
     classproperty,
-    OnnxRuntimeModel,
     IAIOnnxRuntimeModel,
 )
 

From c96ae4c331b3b6277022c5af24d947d90c690a59 Mon Sep 17 00:00:00 2001
From: Martin Kristiansen <lille.kemiker@gmail.com>
Date: Thu, 17 Aug 2023 20:55:55 -0400
Subject: [PATCH 287/287] Reverting late imports to fix tests

---
 tests/nodes/test_nodes.py | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/tests/nodes/test_nodes.py b/tests/nodes/test_nodes.py
index f43ad91026..92faa6a0ba 100644
--- a/tests/nodes/test_nodes.py
+++ b/tests/nodes/test_nodes.py
@@ -1,10 +1,7 @@
 from typing import Any, Callable, Literal, Union
-
 from pydantic import Field
 from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationContext
 from invokeai.app.invocations.image import ImageField
-from invokeai.app.services.events import EventServiceBase
-from invokeai.app.services.graph import Edge, EdgeConnection
 
 
 # Define test invocations before importing anything that uses invocations
@@ -83,6 +80,11 @@ class PromptCollectionTestInvocation(BaseInvocation):
         return PromptCollectionTestInvocationOutput(collection=self.collection.copy())
 
 
+# Importing these at the top breaks previous tests
+from invokeai.app.services.events import EventServiceBase  # noqa: E402
+from invokeai.app.services.graph import Edge, EdgeConnection  # noqa: E402
+
+
 def create_edge(from_id: str, from_field: str, to_id: str, to_field: str) -> Edge:
     return Edge(
         source=EdgeConnection(node_id=from_id, field=from_field),